diff --git a/buildmaster/ATLAS_1JET_13TEV_DIF/data.yaml b/buildmaster/ATLAS_1JET_13TEV_DIF/data.yaml new file mode 100644 index 0000000000..67fde7113d --- /dev/null +++ b/buildmaster/ATLAS_1JET_13TEV_DIF/data.yaml @@ -0,0 +1,178 @@ +data_central: +- 12012.395677019727 +- 5805.855822622925 +- 2986.7760747890993 +- 1618.0189066809755 +- 866.0702461382718 +- 483.7955721778503 +- 273.82973527925583 +- 159.53629927203906 +- 96.32293442101836 +- 57.35129662088952 +- 35.51470522955681 +- 22.258348258105574 +- 13.904311505710947 +- 8.87398922434633 +- 5.662783145237589 +- 3.5803335100757483 +- 2.2948080815795833 +- 1.488287691808184 +- 0.9666895964237853 +- 0.6331780910637531 +- 0.4143922385472699 +- 0.27325050421075175 +- 0.1796705938869768 +- 0.1194121044060195 +- 0.07907277854138835 +- 0.05222409182564762 +- 0.03394761770546372 +- 0.02135468384818843 +- 0.011175760382172406 +- 0.004094638921422557 +- 0.0008211524130378225 +- 9.350988235909357e-05 +- 2.6719852606500003e-06 +- 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2200.9742003899883 +- 1021.4115348529218 +- 492.50644853465417 +- 244.35813983206 +- 120.31520688439474 +- 60.11649863025965 +- 30.284034110793122 +- 15.11188394341431 +- 7.27909385216678 +- 3.457439882203292 +- 1.6765445820815337 +- 0.8201862410979077 +- 0.37893992835923207 +- 0.1584635286091469 +- 0.06335529147021958 +- 0.02221969373518682 +- 0.0065849995084195576 +- 0.0020152570895632348 +- 0.0005938916952043516 +- 0.0001917532070434389 +- 2.4417014074999995e-05 diff --git a/buildmaster/ATLAS_1JET_13TEV_DIF/filter.py b/buildmaster/ATLAS_1JET_13TEV_DIF/filter.py new file mode 100644 index 0000000000..d0fbdd768c --- /dev/null +++ b/buildmaster/ATLAS_1JET_13TEV_DIF/filter.py @@ -0,0 +1,152 @@ +import yaml +from validphys.commondata_utils import symmetrize_errors as se + +def processData(): + with open('metadata.yaml', 'r') as file: + metadata = yaml.safe_load(file) + + tables = metadata['implemented_observables'][0]['tables'] + tables_altcorr1 = metadata['implemented_observables'][1]['tables'] + + data_central = [] + kin = [] + error = [] + data_central_altcorr1 = [] + kin_altcorr1 = [] + error_altcorr1 = [] + +# jet data + + for i in tables: + if i == 1: + y_min = 0 + y_max = 0.5 + elif i == 2: + y_min = 0.5 + y_max = 1 + elif i == 3: + y_min = 1 + y_max = 1.5 + elif i == 4: + y_min = 1.5 + y_max = 2 + elif i == 5: + y_min = 2 + y_max = 2.5 + elif i == 6: + y_min = 2.5 + y_max = 3 + y_central = None + hepdata_tables="rawdata/atlas_inclusive_jet2015_r04_eta"+str(i)+".yaml" + with open(hepdata_tables, 'r') as file: + input = yaml.safe_load(file) + + values = input['dependent_variables'][0]['values'] + sqrt_s = input['dependent_variables'][0]['qualifiers'][1]['value'] + + for j in range(len(values)): + pT_min = input['independent_variables'][0]['values'][j]['low'] + pT_max = input['independent_variables'][0]['values'][j]['high'] + value_delta = 0 + error_value = {} + for k in range(len(values[j]['errors'])): + se_delta, se_sigma = se(values[j]['errors'][k]['asymerror']['plus'], values[j]['errors'][k]['asymerror']['minus']) + value_delta = value_delta + se_delta + error_label = str(values[j]['errors'][k]['label']) + error_value[error_label] = se_sigma + data_central_value = values[j]['value'] + value_delta + data_central.append(data_central_value) + error.append(error_value) + kin_value = {'sqrt_s': {'min': None, 'mid': sqrt_s, 'max': None}, 'pT_sqr': {'min': pT_min**2, 'mid': None, 'max': pT_max**2}, 'y': {'min': y_min, 'mid': y_central, 'max': y_max}} + kin.append(kin_value) + + hepdata_tables="rawdata/atlas_inclusive_jet2015_r04_eta1.yaml" + with open(hepdata_tables, 'r') as file: + input = yaml.safe_load(file) + error_definition = {} + error_definition['stat'] = {'description': 'total statistical uncertainty', 'treatment': 'ADD', 'type': 'UNCORR'} + for i in range(1, len(input['dependent_variables'][0]['values'][0]['errors'])): + error_name = input['dependent_variables'][0]['values'][0]['errors'][i]['label'] + error_definition[error_name] = {'description': '', 'treatment': 'MULT', 'type': 'CORR'} + + data_central_yaml = {'data_central': data_central} + kinematics_yaml = {'bins': kin} + uncertainties_yaml = {'definitions': error_definition, 'bins': error} + + with open('data.yaml', 'w') as file: + yaml.dump(data_central_yaml, file, sort_keys=False) + + with open('kinematics.yaml', 'w') as file: + yaml.dump(kinematics_yaml, file, sort_keys=False) + + with open('uncertainties.yaml', 'w') as file: + yaml.dump(uncertainties_yaml, file, sort_keys=False) + +# jet altcorr1 data + + for i in tables_altcorr1: + if i == 1: + y_min = 0 + y_max = 0.5 + elif i == 2: + y_min = 0.5 + y_max = 1 + elif i == 3: + y_min = 1 + y_max = 1.5 + elif i == 4: + y_min = 1.5 + y_max = 2 + elif i == 5: + y_min = 2 + y_max = 2.5 + elif i == 6: + y_min = 2.5 + y_max = 3 + y_central = None + hepdata_tables="rawdata/atlas_inclusive_jet2015_r04_altcorr1_eta"+str(i)+".yaml" + with open(hepdata_tables, 'r') as file: + input = yaml.safe_load(file) + + values = input['dependent_variables'][0]['values'] + sqrt_s = input['dependent_variables'][0]['qualifiers'][1]['value'] + + for j in range(len(values)): + pT_min = input['independent_variables'][0]['values'][j]['low'] + pT_max = input['independent_variables'][0]['values'][j]['high'] + value_delta = 0 + error_value = {} + for k in range(len(values[j]['errors'])): + se_delta, se_sigma = se(values[j]['errors'][k]['asymerror']['plus'], values[j]['errors'][k]['asymerror']['minus']) + value_delta = value_delta + se_delta + error_label = str(values[j]['errors'][k]['label']) + error_value[error_label] = se_sigma + data_central_value = values[j]['value'] + value_delta + data_central_altcorr1.append(data_central_value) + error_altcorr1.append(error_value) + kin_value = {'sqrt_s': {'min': None, 'mid': sqrt_s, 'max': None}, 'pT_sqr': {'min': pT_min**2, 'mid': None, 'max': pT_max**2}, 'y': {'min': y_min, 'mid': y_central, 'max': y_max}} + kin_altcorr1.append(kin_value) + + hepdata_tables="rawdata/atlas_inclusive_jet2015_r04_altcorr1_eta1.yaml" + with open(hepdata_tables, 'r') as file: + input = yaml.safe_load(file) + error_definition_altcorr1 = {} + error_definition_altcorr1['stat'] = {'description': 'total statistical uncertainty', 'treatment': 'ADD', 'type': 'UNCORR'} + for i in range(1, len(input['dependent_variables'][0]['values'][0]['errors'])): + error_name = input['dependent_variables'][0]['values'][0]['errors'][i]['label'] + error_definition_altcorr1[error_name] = {'description': '', 'treatment': 'MULT', 'type': 'CORR'} + + data_central_altcorr1_yaml = {'data_central': data_central_altcorr1} + kinematics_altcorr1_yaml = {'bins': kin_altcorr1} + uncertainties_altcorr1_yaml = {'definitions': error_definition_altcorr1, 'bins': error_altcorr1} + + with open('data_altcorr1.yaml', 'w') as file: + yaml.dump(data_central_altcorr1_yaml, file, sort_keys=False) + + with open('kinematics_altcorr1.yaml', 'w') as file: + yaml.dump(kinematics_altcorr1_yaml, file, sort_keys=False) + + with open('uncertainties_altcorr1.yaml', 'w') as file: + yaml.dump(uncertainties_altcorr1_yaml, file, sort_keys=False) + +processData() diff --git a/buildmaster/ATLAS_1JET_13TEV_DIF/kinematics.yaml b/buildmaster/ATLAS_1JET_13TEV_DIF/kinematics.yaml new file mode 100644 index 0000000000..ce91832acd --- /dev/null +++ b/buildmaster/ATLAS_1JET_13TEV_DIF/kinematics.yaml @@ -0,0 +1,2125 @@ +bins: +- sqrt_s: + min: null + mid: 13000 + max: null + pT_sqr: + min: 10000 + mid: null + max: 13456 + y: + min: 0 + mid: null + max: 0.5 +- sqrt_s: + min: null + mid: 13000 + max: null + pT_sqr: + min: 13456 + mid: null + max: 17956 + y: + min: 0 + mid: null + max: 0.5 +- sqrt_s: + min: null + mid: 13000 + max: null + pT_sqr: + min: 17956 + mid: null + max: 23104 + y: + min: 0 + mid: null + max: 0.5 +- sqrt_s: + min: null + mid: 13000 + max: null + pT_sqr: + min: 23104 + mid: null + max: 29584 + y: + min: 0 + mid: null + max: 0.5 +- sqrt_s: + min: null + mid: 13000 + max: null + pT_sqr: + min: 29584 + mid: null + max: 37636 + y: + min: 0 + mid: null + max: 0.5 +- sqrt_s: + min: null + mid: 13000 + max: null + pT_sqr: + min: 37636 + mid: null + max: 46656 + y: + min: 0 + mid: null + max: 0.5 +- sqrt_s: + min: null + mid: 13000 + max: null + pT_sqr: + min: 46656 + mid: null + max: 57600 + y: + min: 0 + mid: null + max: 0.5 +- sqrt_s: + min: null + mid: 13000 + max: null + pT_sqr: + min: 57600 + mid: null + max: 69696 + y: + min: 0 + mid: null + max: 0.5 +- sqrt_s: + min: null + mid: 13000 + max: null + pT_sqr: + min: 69696 + mid: null + max: 84100 + y: + min: 0 + mid: null + max: 0.5 +- sqrt_s: + min: null + mid: 13000 + max: null + pT_sqr: + min: 84100 + mid: null + max: 101124 + y: + min: 0 + mid: null + max: 0.5 +- sqrt_s: + min: null + mid: 13000 + max: null + pT_sqr: + min: 101124 + mid: null + max: 119716 + y: + min: 0 + mid: null + max: 0.5 +- sqrt_s: + min: null + mid: 13000 + max: null + pT_sqr: + min: 119716 + mid: null + max: 141376 + y: + min: 0 + mid: null + max: 0.5 +- sqrt_s: + min: null + mid: 13000 + max: null + pT_sqr: + min: 141376 + mid: null + max: 166464 + y: + min: 0 + mid: null + max: 0.5 +- sqrt_s: + min: null + mid: 13000 + max: null + pT_sqr: + min: 166464 + mid: null + max: 195364 + y: + min: 0 + mid: null + max: 0.5 +- sqrt_s: + min: null + mid: 13000 + max: null + pT_sqr: + min: 195364 + mid: null + max: 228484 + y: + min: 0 + mid: null + max: 0.5 +- sqrt_s: + min: null + mid: 13000 + max: null + pT_sqr: + min: 228484 + mid: null + max: 266256 + y: + min: 0 + mid: null + max: 0.5 +- sqrt_s: + min: null + mid: 13000 + max: null + pT_sqr: + min: 266256 + mid: null + max: 309136 + y: + min: 0 + mid: null + max: 0.5 +- sqrt_s: + min: null + mid: 13000 + max: null + pT_sqr: + min: 309136 + mid: null + max: 357604 + y: + min: 0 + mid: null + max: 0.5 +- sqrt_s: 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+ min: 2.5 + mid: null + max: 3 +- sqrt_s: + min: null + mid: 13000 + max: null + pT_sqr: + min: 357604 + mid: null + max: 412164 + y: + min: 2.5 + mid: null + max: 3 +- sqrt_s: + min: null + mid: 13000 + max: null + pT_sqr: + min: 412164 + mid: null + max: 473344 + y: + min: 2.5 + mid: null + max: 3 +- sqrt_s: + min: null + mid: 13000 + max: null + pT_sqr: + min: 473344 + mid: null + max: 541696 + y: + min: 2.5 + mid: null + max: 3 +- sqrt_s: + min: null + mid: 13000 + max: null + pT_sqr: + min: 541696 + mid: null + max: 799236 + y: + min: 2.5 + mid: null + max: 3 diff --git a/buildmaster/ATLAS_1JET_13TEV_DIF/metadata.yaml b/buildmaster/ATLAS_1JET_13TEV_DIF/metadata.yaml new file mode 100644 index 0000000000..a8dc6dee4f --- /dev/null +++ b/buildmaster/ATLAS_1JET_13TEV_DIF/metadata.yaml @@ -0,0 +1,83 @@ +setname: "ATLAS_1JET_13TEV_DIF" + + +nnpdf_metadata: + nnpdf31_process: "JETS" + experiment: "ATLAS" + +arXiv: + url: "https://arxiv.org/abs/1711.02692" +iNSPIRE: + url: "https://inspirehep.net/literature/1634970" +hepdata: + url: "https://www.hepdata.net/record/ins1634970" + version: 1 + +version: 1 +version_comment: "NA" + +implemented_observables: + + - observable: {description: "double differential cross section w.r.t. pT and y", label: '$\frac{d^2\sigma}{dp_T dy}$', units: "$pb/GeV$"} + observable_name: PT-Y + process_type: JET + ndata: 177 # 33+32+31+31+28+22 + tables: [1, 2, 3, 4, 5, 6] + kinematics: + variables: + y: {description: "jet absolute rapidity", label: "$y$", units: ""} + pT_sqr: {description: "jet transverse momentum squared", label: "$p_T^2$", units: "$GeV^2$"} + sqrt_s: {description: "center of mass energy", label: '$\sqrt{s}$', units: "$GeV$"} + file: kinematics.yaml + data_central: data.yaml + data_uncertainties: + - uncertainties.yaml + kinematic_coverage: [y, pT_sqr, sqrt_s] + plotting: + kinematics_override: identity + x_scale: log + dataset_label: 'ATLAS Jet 13 TeV: $\frac{d^2\sigma}{dp_T dy}$' + plot_x: pT_sqr + figure_by: + - y + theory: + FK_tables: + - - ATLAS_1JET_13TEV_DIF_PT-Y_BIN1 + - ATLAS_1JET_13TEV_DIF_PT-Y_BIN2 + - ATLAS_1JET_13TEV_DIF_PT-Y_BIN3 + - ATLAS_1JET_13TEV_DIF_PT-Y_BIN4 + - ATLAS_1JET_13TEV_DIF_PT-Y_BIN5 + - ATLAS_1JET_13TEV_DIF_PT-Y_BIN6 + operation: 'null' + + - observable: {description: "double differential cross section w.r.t. pT and y - altcorr1", label: '$\frac{d^2\sigma}{dp_T dy}$', units: "$pb/GeV$"} + observable_name: PT-Y-ALTCORR1 + process_type: JET + ndata: 177 # 33+32+31+31+28+22 + tables: [1, 2, 3, 4, 5, 6] + kinematics: + variables: + y: {description: "jet absolute rapidity", label: "$y$", units: ""} + pT_sqr: {description: "jet transverse momentum squared", label: "$p_T^2$", units: "$GeV^2$"} + sqrt_s: {description: "center of mass energy", label: '$\sqrt{s}$', units: "$GeV$"} + file: kinematics_altcorr1.yaml + data_central: data_altcorr1.yaml + data_uncertainties: + - uncertainties_altcorr1.yaml + kinematic_coverage: [y, pT_sqr, sqrt_s] + plotting: + kinematics_override: identity + x_scale: log + dataset_label: 'ATLAS Jet 13 TeV: $\frac{d^2\sigma}{dp_T dy}$' + plot_x: pT_sqr + figure_by: + - y + theory: + FK_tables: + - - ATLAS_1JET_13TEV_DIF_PT-Y_BIN1 + - ATLAS_1JET_13TEV_DIF_PT-Y_BIN2 + - ATLAS_1JET_13TEV_DIF_PT-Y_BIN3 + - ATLAS_1JET_13TEV_DIF_PT-Y_BIN4 + - ATLAS_1JET_13TEV_DIF_PT-Y_BIN5 + - ATLAS_1JET_13TEV_DIF_PT-Y_BIN6 + operation: 'null' diff --git a/buildmaster/ATLAS_1JET_13TEV_DIF/rawdata/atlas_inclusive_jet2015_r04_altcorr1_eta1.yaml b/buildmaster/ATLAS_1JET_13TEV_DIF/rawdata/atlas_inclusive_jet2015_r04_altcorr1_eta1.yaml new file mode 100644 index 0000000000..baf43d89f6 --- /dev/null +++ b/buildmaster/ATLAS_1JET_13TEV_DIF/rawdata/atlas_inclusive_jet2015_r04_altcorr1_eta1.yaml @@ -0,0 +1,11394 @@ +independent_variables: +- header: {name: '$p_{Tjet} $', units: GeV} + values: + - {low: 100, high: 116} + - {low: 116, high: 134} + - {low: 134, high: 152} + - {low: 152, high: 172} + - {low: 172, high: 194} + - {low: 194, high: 216} + - {low: 216, high: 240} + - {low: 240, high: 264} + - {low: 264, high: 290} + - {low: 290, high: 318} + - {low: 318, high: 346} + - {low: 346, high: 376} + - {low: 376, high: 408} + - {low: 408, high: 442} + - {low: 442, high: 478} + - {low: 478, high: 516} + - {low: 516, high: 556} + - {low: 556, high: 598} + - {low: 598, high: 642} + - {low: 642, high: 688} + - {low: 688, high: 736} + - {low: 736, high: 786} + - {low: 786, high: 838} + - {low: 838, high: 894} + - {low: 894, high: 952} + - {low: 952, high: 1012} + - {low: 1012, high: 1076} + - {low: 1076, high: 1162} + - {low: 1162, high: 1310} + - {low: 1310, high: 1530} + - {low: 1530, high: 1992} + - {low: 1992, high: 2500} + - {low: 2500, high: 3937} +dependent_variables: +- header: {name: '$d\sigma/dp_{Tjet} d|Y|$'} + qualifiers: + - {name: RE, value: p p -> jet jet} + - {name: SQRTS(S), units: GeV, value: 13000} + values: + - value: 1.188520e+04 + errors: + - {asymerror: {plus: 7.955000e+01, minus: -7.955000e+01}, label: stat } + - {asymerror: {plus: 0.000000e+00, minus: -0.000000e+00}, label: syst_JER_CROSS_CALIB_FORWARD } + - {asymerror: {plus: 0.000000e+00, minus: -0.000000e+00}, label: syst_JER_NOISE_FORWARD } + - {asymerror: {plus: 1.849200e+02, minus: -1.651400e+02}, label: syst_JER_NP0 } + - {asymerror: {plus: -2.047000e+01, minus: 2.448000e+01}, label: syst_JER_NP1 } + - {asymerror: {plus: 6.742700e+01, minus: -5.985900e+01}, label: syst_JER_NP2 } + - {asymerror: {plus: -6.585000e-01, minus: 1.213100e+01}, label: syst_JER_NP3 } + - {asymerror: {plus: 6.684900e+01, minus: -5.940700e+01}, label: syst_JER_NP4 } + - {asymerror: {plus: 1.059300e+00, minus: -1.119800e+01}, label: syst_JER_NP5 } + - {asymerror: {plus: -4.535000e+00, minus: 1.522000e+01}, label: syst_JER_NP6 } + - {asymerror: {plus: 1.701000e+01, minus: -1.266100e+01}, label: syst_JER_NP7 } + - {asymerror: {plus: 2.238000e+01, minus: -1.977000e+01}, label: syst_JER_NP8 } + - {asymerror: {plus: -7.180000e-06, minus: 8.905000e-06}, 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high: 152} + - {low: 152, high: 172} + - {low: 172, high: 194} + - {low: 194, high: 216} + - {low: 216, high: 240} + - {low: 240, high: 264} + - {low: 264, high: 290} + - {low: 290, high: 318} + - {low: 318, high: 346} + - {low: 346, high: 376} + - {low: 376, high: 408} + - {low: 408, high: 442} + - {low: 442, high: 478} + - {low: 478, high: 516} + - {low: 516, high: 556} + - {low: 556, high: 598} + - {low: 598, high: 642} + - {low: 642, high: 688} + - {low: 688, high: 736} + - {low: 736, high: 786} + - {low: 786, high: 838} + - {low: 838, high: 894} + - {low: 894, high: 952} + - {low: 952, high: 1012} + - {low: 1012, high: 1076} + - {low: 1076, high: 1162} + - {low: 1162, high: 1310} + - {low: 1310, high: 1530} + - {low: 1530, high: 1992} + - {low: 1992, high: 3937} +dependent_variables: +- header: {name: '$d\sigma/dp_{Tjet} d|Y| $'} + qualifiers: + - {name: RE, value: p p -> jet jet} + - {name: SQRTS(S), units: GeV, value: 13000} + values: + - value: 1.119850e+04 + errors: + - 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b/buildmaster/ATLAS_1JET_13TEV_DIF/rawdata/atlas_inclusive_jet2015_r04_eta3.yaml new file mode 100644 index 0000000000..115fdd5c0e --- /dev/null +++ b/buildmaster/ATLAS_1JET_13TEV_DIF/rawdata/atlas_inclusive_jet2015_r04_eta3.yaml @@ -0,0 +1,10549 @@ +independent_variables: +- header: {name: '$p_{Tjet} $', units: GeV} + values: + - {low: 100, high: 116} + - {low: 116, high: 134} + - {low: 134, high: 152} + - {low: 152, high: 172} + - {low: 172, high: 194} + - {low: 194, high: 216} + - {low: 216, high: 240} + - {low: 240, high: 264} + - {low: 264, high: 290} + - {low: 290, high: 318} + - {low: 318, high: 346} + - {low: 346, high: 376} + - {low: 376, high: 408} + - {low: 408, high: 442} + - {low: 442, high: 478} + - {low: 478, high: 516} + - {low: 516, high: 556} + - {low: 556, high: 598} + - {low: 598, high: 642} + - {low: 642, high: 688} + - {low: 688, high: 736} + - {low: 736, high: 786} + - {low: 786, high: 838} + - {low: 838, high: 894} + - {low: 894, high: 952} + - {low: 952, high: 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0000000000..2ddeffbef3 --- /dev/null +++ b/buildmaster/ATLAS_1JET_13TEV_DIF/rawdata/atlas_inclusive_jet2015_r04_eta5.yaml @@ -0,0 +1,9529 @@ +independent_variables: +- header: {name: '$p_{Tjet} $', units: GeV} + values: + - {low: 100, high: 116} + - {low: 116, high: 134} + - {low: 134, high: 152} + - {low: 152, high: 172} + - {low: 172, high: 194} + - {low: 194, high: 216} + - {low: 216, high: 240} + - {low: 240, high: 264} + - {low: 264, high: 290} + - {low: 290, high: 318} + - {low: 318, high: 346} + - {low: 346, high: 376} + - {low: 376, high: 408} + - {low: 408, high: 442} + - {low: 442, high: 478} + - {low: 478, high: 516} + - {low: 516, high: 556} + - {low: 556, high: 598} + - {low: 598, high: 642} + - {low: 642, high: 688} + - {low: 688, high: 736} + - {low: 736, high: 786} + - {low: 786, high: 838} + - {low: 838, high: 894} + - {low: 894, high: 952} + - {low: 952, high: 1012} + - {low: 1012, high: 1076} + - {low: 1076, high: 1162} +dependent_variables: +- header: {name: 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+ - {low: 134, high: 152} + - {low: 152, high: 172} + - {low: 172, high: 194} + - {low: 194, high: 216} + - {low: 216, high: 240} + - {low: 240, high: 264} + - {low: 264, high: 290} + - {low: 290, high: 318} + - {low: 318, high: 346} + - {low: 346, high: 376} + - {low: 376, high: 408} + - {low: 408, high: 442} + - {low: 442, high: 478} + - {low: 478, high: 516} + - {low: 516, high: 556} + - {low: 556, high: 598} + - {low: 598, high: 642} + - {low: 642, high: 688} + - {low: 688, high: 736} + - {low: 736, high: 894} +dependent_variables: +- header: {name: '$d\sigma/dp_{Tjet} d|Y| $'} + qualifiers: + - {name: RE, value: p p -> jet jet} + - {name: SQRTS(S), units: GeV, value: 13000} + values: + - value: 4.884900e+03 + errors: + - {asymerror: {plus: 5.093000e+01, minus: -5.093000e+01}, label: stat } + - {asymerror: {plus: -7.562200e+01, minus: 7.562200e+01}, label: syst_JER_CROSS_CALIB_FORWARD } + - {asymerror: {plus: -4.373200e+01, minus: 4.373200e+01}, label: syst_JER_NOISE_FORWARD } + - 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This section is optional for the provision of information about the overall submission. +--- +additional_resources: # additional references (e.g. experiment TWiki page for analysis) + - {location: "http://atlas.web.cern.ch/Atlas/GROUPS/PHYSICS/PAPERS/STDM-2016-03/", description: "web page with auxiliary material"} + +comment: | # Information that applies to all data tables. + - Measurement of inclusive jet cross-sections with the ATLAS Detector at a centre-of-mass energy 13 TeV + Inclusive jet and dijet cross-sections are measured in proton-proton collisions at a centre-of-mass energy of + 13 TeV. The measurement uses a dataset with an integrated luminosity of 3.2 fb$^{−1} recorded in 2015 with + the ATLAS detector at the Large Hadron Collider. Jets are identified using the anti-kt algorithm with a radius + parameter value of R=0.4. The inclusive jet cross-sections are measured double-differentially as a function of + the jet transverse momentum, covering the range from 100 GeV to 3.5 TeV, and the absolute jet rapidity up to |y|=3. + The double-differential dijet production cross-sections are presented as a function of the dijet mass, covering the + range from 300 GeV to 9 TeV, and the half absolute rapidity separation between the two leading jets within |y|<3, y∗, + up to y∗=3. Next-to-leading-order, and next-to-next-to-leading-order for the inclusive jet measurement, perturbative QCD + calculations corrected for non-perturbative and electroweak effects are compared to the measured cross-sections. + + - The HepData contain the following files: + + o) HepData base tables in yaml format for each cross-section (rapidity or ystar bin) + Example: atlas_2015_jet_antiktr04_incljet_eta1.txt for R=04 and 0<|Y|<0.5 + atlas_2015_jet_antiktr04_mjj_ystar1.txt for R=0.4 and Ystar<0.5 + + These files are for the default correlation scenario (see below) + + Sometimes up and down uncertainties can have the same sign. + They need to be symmetrized for the chi2 calculation. + + o) Replica encoding the statistical uncertainties, e.g. to + calculate the global statistical correlation matrix + + The replica can be used to calculate the statistical uncertainty within a few percent. + For convenience, the cross-section tables also contains the statistical uncertainty. + + For inclusive jets: + hepdata_tables_data_replicas_incljets.tar.gz + + For dijets: + hepdata_tables_data_replicas_dijets.tar.gz + + The tarfile contains for each cross-section 10k replica files of the form + heprep9997_R06_Eta6.txt + The first number is the replica number (random), the following the jet cone size and the rapidity bin + + In each replica file the format is as follows: + The first lines are a description of the cross-section (following old HepData conventions). + It includes the replica number of each file, the rapidity bin and the jet cone radius (same as in file name). + The following lines with the numbers are the minimum and maximum bin edge and the fluctuated cross-section. + + o) The alternative splitting of the 2-points systematics is encoded in the following tables: + atlas_2015_jet_antiktr04_incljet_altcorr1_eta1.txt + + For the dijet no alternative correlation scenario is provided. + + To get the chi2 values as quoted in the paper the theory systematics need to be + also decorrelated as described in the paper. Note, that the splitting of the theory + numbers has a large effect on the global chi2. + + o) Electro-weak corrections as function of jet pt (for each rapidity bins) + as calculated with the method described in + Dittmaier, Huss, Speckner HEP11(2012) 095 arXiv:1210.0438 + are given in special tables like atlas_2015_jet_antiktr04_incljetpt_eta5_ewcorr.txt + (as example for R=0.4 and 2<|y|<0.5) + + Each line gives the bin minimum and maximum and the correction + The corrections are given as calculated. No uncertainty is given. + For some bins at high-pt the values need to be merged to compare to the measurements. + + o) Non-perturbative correction (hadronisation corrections and underlying event) as function of jet pt + (for each rapidity bins). See the paper for a description and references. + As described in the tables the default corrections is based on Pythia8AU2CT10_PYHW tune + The uncertainty based on pythia8 tunes: 4C MONASH ATLASA14NNPDF ATLASA14MRSTWLO ATLASA14CTEQL1 + and on Herwig tunes. + + Each line gives the middle of the pt bin, the bin minimum and maximum, the default correction and the up and down uncertainty. + + + Comments to HepData tables: + + o) The systematic uncertainties with the same names are correlated across the cross-section in the various rapidity bins, + The statistical uncertainties are uncorrelated in rapidity. + (see section 6 in arXiv:1706.03192 and ATLAS-CONF-2015-037) + + o) The statistical uncertainty of the in situ methods (Gjet, Zjet, MJB, EtaStat ) should be treated as any other + systematic uncertainty across pt and eta, but they are uncorrellated with the systematic uncertainties from a + different data-set (e.g. ATLAS 2012 and ATLAS 2015 data) even if they have the same name. + + o) The beam uncertainty is considered as theory systematics since it can be calculated from the applgrid tables. +hepdata_doi: 10.1007/JHEP05(2018)195 +record_ids: +- {id: 16034970, type: inspire} +- {id: 2292095, type: cds} +--- + + +--- +# Start of table entries +# This is Table 1. +name: "Table 1" +location: Data from Figure 5 of pre-print https://arxiv.org/pdf/1711.02692.pdf +description: rapidity bin 0 < |Y| < 0.5 anti-kt R=0.4 +keywords: # used for searching, possibly multiple values for each keyword + - {name: reactions, values: [P P --> jet jet]} + - {name: observables, values: [SIG]} + - {name: cmenergies, values: [13000.0]} + - {name: phrases, values: [Inclusive jet production cross section at 13 TeV, Proton-Proton Scattering]} +data_file: atlas_inclusive_jet2015_r04_eta1.yaml +additional_resources: +- location: https://ploughshare.web.cern.ch/ploughshare/db/atlas/atlas-atlas-incjet-13tev-arxiv-1711.02692/grids/atlas-atlas-incjet-13tev-arxiv-1711.02692-xsec000.root + description: NLO QCD calculation via applgrid (event scale) +- location: https://ploughshare.web.cern.ch/ploughshare/db/atlas/atlas-atlas-incjet-13tev-arxiv-1711.02692/grids/atlas-atlas-incjet-13tev-arxiv-1711.02692-xsec006.root + description: NLO QCD calculation via applgrid (jet scale) +- location: "hepdata_tables_data_incljets_antiktr04_eta1_replicas.tar.gz" + description: "Cross-section replica for inclusive jet cross-sections for anti-kt R=0.4 jets" +- location: "atlas_2015_jet_antiktr04_incljetpt_eta1_ewcorr.txt" + description: "Electro-weak corrections " +- location: "atlas_2015_jet_antiktr04_incljetpt_eta1_pythia8AU2CTEQ_PYHW_npcorr.txt" + description: "Non-perturbative corrections " +- location: "atlas_inclusive_jet2015_r04_altcorr1_eta1.yaml" + description: "Alternative correlation scenario " + +--- +# This is Table 2. +name: "Table 2" +location: Data from Figure 5 of pre-print https://arxiv.org/pdf/1711.02692.pdf +description: rapidity bin 0.5 < |Y| < 1.0 anti-kt R=0.4 +keywords: # used for searching, possibly multiple values for each keyword + - {name: reactions, values: [P P --> jet jet]} + - {name: observables, values: [SIG]} + - {name: cmenergies, values: [13000.0]} + - {name: phrases, values: [Inclusive, Cross Section, Proton-Proton Scattering, jet Production]} +data_file: atlas_inclusive_jet2015_r04_eta2.yaml +additional_resources: +- location: https://ploughshare.web.cern.ch/ploughshare/db/atlas/atlas-atlas-incjet-13tev-arxiv-1711.02692/grids/atlas-atlas-incjet-13tev-arxiv-1711.02692-xsec001.root + description: NLO QCD calculation via applgrid (event scale) +- location: https://ploughshare.web.cern.ch/ploughshare/db/atlas/atlas-atlas-incjet-13tev-arxiv-1711.02692/grids/atlas-atlas-incjet-13tev-arxiv-1711.02692-xsec007.root + description: NLO QCD calculation via applgrid (jet scale) +- location: "hepdata_tables_data_incljets_antiktr04_eta2_replicas.tar.gz" + description: "Cross-section replica for inclusive jet cross-sections for anti-kt R=0.4 jets" +- location: "atlas_2015_jet_antiktr04_incljetpt_eta2_ewcorr.txt" + description: "Electro-weak corrections " +- location: "atlas_2015_jet_antiktr04_incljetpt_eta2_pythia8AU2CTEQ_PYHW_npcorr.txt" + description: "Non-perturbative corrections " +- location: "atlas_inclusive_jet2015_r04_altcorr1_eta2.yaml" + description: "Alternative correlation scenario " + +--- +# This is Table 3. +name: "Table 3" +location: Data from Figure 5 of pre-print https://arxiv.org/pdf/1711.02692.pdf +description: rapidity bin 1.0 < |Y| < 1.5 anti-kt R=0.4 +keywords: # used for searching, possibly multiple values for each keyword + - {name: reactions, values: [P P --> jet jet]} + - {name: observables, values: [SIG]} + - {name: cmenergies, values: [13000.0]} + - {name: phrases, values: [Inclusive, Cross Section, Proton-Proton Scattering, jet Production]} +data_file: atlas_inclusive_jet2015_r04_eta3.yaml +additional_resources: +- location: https://ploughshare.web.cern.ch/ploughshare/db/atlas/atlas-atlas-incjet-13tev-arxiv-1711.02692/grids/atlas-atlas-incjet-13tev-arxiv-1711.02692-xsec002.root + description: NLO QCD calculation via applgrid (event scale) +- location: https://ploughshare.web.cern.ch/ploughshare/db/atlas/atlas-atlas-incjet-13tev-arxiv-1711.02692/grids/atlas-atlas-incjet-13tev-arxiv-1711.02692-xsec008.root + description: NLO QCD calculation via applgrid (jet scale) +- location: "hepdata_tables_data_incljets_antiktr04_eta3_replicas.tar.gz" + description: "Cross-section replica for inclusive jet cross-sections for anti-kt R=0.4 jets" +- location: "atlas_2015_jet_antiktr04_incljetpt_eta3_ewcorr.txt" + description: "Electro-weak corrections " +- location: "atlas_2015_jet_antiktr04_incljetpt_eta3_pythia8AU2CTEQ_PYHW_npcorr.txt" + description: "Non-perturbative corrections " +- location: "atlas_inclusive_jet2015_r04_altcorr1_eta3.yaml" + description: "Alternative correlation scenario " + +--- +# This is Table 4. +name: "Table 4" +location: Data from Figure 5 of pre-print https://arxiv.org/pdf/1711.02692.pdf +description: rapidity bin 1.5 < |Y| < 2.0 anti-kt R=0.4 +keywords: # used for searching, possibly multiple values for each keyword + - {name: reactions, values: [P P --> jet jet]} + - {name: observables, values: [SIG]} + - {name: cmenergies, values: [13000.0]} + - {name: phrases, values: [Inclusive, Cross Section, Proton-Proton Scattering, jet Production]} +data_file: atlas_inclusive_jet2015_r04_eta4.yaml +additional_resources: +- location: https://ploughshare.web.cern.ch/ploughshare/db/atlas/atlas-atlas-incjet-13tev-arxiv-1711.02692/grids/atlas-atlas-incjet-13tev-arxiv-1711.02692-xsec003.root + description: NLO QCD calculation via applgrid (event scale) +- location: https://ploughshare.web.cern.ch/ploughshare/db/atlas/atlas-atlas-incjet-13tev-arxiv-1711.02692/grids/atlas-atlas-incjet-13tev-arxiv-1711.02692-xsec009.root + description: NLO QCD calculation via applgrid (jet scale) +- location: https://ploughshare.web.cern.ch/ploughshare/record.php?dataset=atlas-atlas-incjet-13tev-arxiv-1711.02692/atlas-atlas-incjet-13tev-arxiv-1711.02692-xsec003.root + description: NLO QCD calculation via applgrid (event scale) +- location: https://ploughshare.web.cern.ch/ploughshare/record.php?dataset=atlas-atlas-incjet-13tev-arxiv-1711.02692/atlas-atlas-incjet-13tev-arxiv-1711.02692-xsec009.root + description: NLO QCD calculation via applgrid (jet scale) +- location: "hepdata_tables_data_incljets_antiktr04_eta4_replicas.tar.gz" + description: "Cross-section replica for inclusive jet cross-sections for anti-kt R=0.4 jets" +- location: "atlas_2015_jet_antiktr04_incljetpt_eta4_ewcorr.txt" + description: "Electro-weak corrections " +- location: "atlas_2015_jet_antiktr04_incljetpt_eta4_pythia8AU2CTEQ_PYHW_npcorr.txt" + description: "Non-perturbative corrections " +- location: "atlas_inclusive_jet2015_r04_altcorr1_eta4.yaml" + description: "Alternative correlation scenario " + +--- +# This is Table 5. +name: "Table 5" +location: Data from Figure 5 of pre-print https://arxiv.org/pdf/1711.02692.pdf +description: rapidity bin 2.0 < |Y| < 2.5 anti-kt R=0.4 +keywords: # used for searching, possibly multiple values for each keyword + - {name: reactions, values: [P P --> jet jet]} + - {name: observables, values: [SIG]} + - {name: cmenergies, values: [13000.0]} + - {name: phrases, values: [Inclusive, Cross Section, Proton-Proton Scattering, jet Production]} +data_file: atlas_inclusive_jet2015_r04_eta5.yaml +additional_resources: +- location: https://ploughshare.web.cern.ch/ploughshare/db/atlas/atlas-atlas-incjet-13tev-arxiv-1711.02692/grids/atlas-atlas-incjet-13tev-arxiv-1711.02692-xsec004.root + description: NLO QCD calculation via applgrid (event scale) +- location: https://ploughshare.web.cern.ch/ploughshare/db/atlas/atlas-atlas-incjet-13tev-arxiv-1711.02692/grids/atlas-atlas-incjet-13tev-arxiv-1711.02692-xsec010.root + description: NLO QCD calculation via applgrid (jet scale) +- location: "hepdata_tables_data_incljets_antiktr04_eta5_replicas.tar.gz" + description: "Cross-section replica for inclusive jet cross-sections for anti-kt R=0.4 jets" +- location: "atlas_2015_jet_antiktr04_incljetpt_eta5_ewcorr.txt" + description: "Electro-weak corrections " +- location: "atlas_2015_jet_antiktr04_incljetpt_eta5_pythia8AU2CTEQ_PYHW_npcorr.txt" + description: "Non-perturbative corrections " +- location: "atlas_inclusive_jet2015_r04_altcorr1_eta5.yaml" + description: "Alternative correlation scenario " + +--- +# This is Table 6. +name: "Table 6" +location: Data from Figure 5 of pre-print https://arxiv.org/pdf/1711.02692.pdf +description: rapidity bin 2.5 < |Y| < 3.0 anti-kt R=0.4 +keywords: # used for searching, possibly multiple values for each keyword + - {name: reactions, values: [P P --> jet jet]} + - {name: observables, values: [SIG]} + - {name: cmenergies, values: [13000.0]} + - {name: phrases, values: [Inclusive, Cross Section, Proton-Proton Scattering, jet Production]} +data_file: atlas_inclusive_jet2015_r04_eta6.yaml +additional_resources: +- location: https://ploughshare.web.cern.ch/ploughshare/db/atlas/atlas-atlas-incjet-13tev-arxiv-1711.02692/grids/atlas-atlas-incjet-13tev-arxiv-1711.02692-xsec005.root + description: NLO QCD calculation via applgrid (event scale) +- location: https://ploughshare.web.cern.ch/ploughshare/db/atlas/atlas-atlas-incjet-13tev-arxiv-1711.02692/grids/atlas-atlas-incjet-13tev-arxiv-1711.02692-xsec011.root + description: NLO QCD calculation via applgrid (jet scale) +- location: "hepdata_tables_data_incljets_antiktr04_eta6_replicas.tar.gz" + description: "Cross-section replica for inclusive jet cross-sections for anti-kt R=0.4 jets" +- location: "atlas_2015_jet_antiktr04_incljetpt_eta6_ewcorr.txt" + description: "Electro-weak corrections " +- location: "atlas_2015_jet_antiktr04_incljetpt_eta6_pythia8AU2CTEQ_PYHW_npcorr.txt" + description: "Non-perturbative corrections " +- location: "atlas_inclusive_jet2015_r04_altcorr1_eta6.yaml" + description: "Alternative correlation scenario " + +--- +# This is Table 7. +name: "Table 7" +location: Data from Figure 6 of pre-print https://arxiv.org/pdf/1711.02692.pdf +description: rapidity bin 0 < y* < 0.5 anti-kt R=0.4 +keywords: # used for searching, possibly multiple values for each keyword + - {name: reactions, values: [P P --> jet jet]} + - {name: observables, values: [SIG]} + - {name: cmenergies, values: [13000.0]} + - {name: phrases, values: [Dijet production, Cross Section, Proton-Proton Scattering]} +data_file: atlas_mjj_jet2015_r04_ystar1.yaml +additional_resources: +- location: https://ploughshare.web.cern.ch/ploughshare/db/atlas/atlas-atlas-dijets-13tev-arxiv-1711.02692/grids/atlas-atlas-dijets-13tev-arxiv-1711.02692-xsec000.root + description: NLO QCD calculation via applgrid +- location: "hepdata_tables_data_mjj_antiktr04_ystar1_replicas.tar.gz" + description: "Cross-section replica for Dijet cross-sections for anti-kt R=0.4 jets" +- location: "atlas_2015_jet_antiktr04_dijetmass_Ystar1_dijet_ewcorr.txt" + description: "Electro-weak corrections " +- location: "atlas_2015_jet_antiktr04_dijetmass_Ystar1_dijet_npcorr.txt" + description: "Non-perturbative corrections " +- location: "atlas_mjj_jet2015_r04_ystar1.yaml" + description: "Alternative correlation scenario " + +--- +# This is Table 8. +name: "Table 8" +location: Data from Figure 6 of pre-print https://arxiv.org/pdf/1711.02692.pdf +description: rapidity bin 0.5 < y* < 1.0 anti-kt R=0.4 +keywords: # used for searching, possibly multiple values for each keyword + - {name: reactions, values: [P P --> jet jet]} + - {name: observables, values: [SIG]} + - {name: cmenergies, values: [13000.0]} + - {name: phrases, values: [Dijet production, Cross Section, Proton-Proton Scattering]} +data_file: atlas_mjj_jet2015_r04_ystar2.yaml +additional_resources: +- location: https://ploughshare.web.cern.ch/ploughshare/db/atlas/atlas-atlas-dijets-13tev-arxiv-1711.02692/grids/atlas-atlas-dijets-13tev-arxiv-1711.02692-xsec001.root + description: NLO QCD calculation via applgrid +- location: "hepdata_tables_data_mjj_antiktr04_ystar2_replicas.tar.gz" + description: "Cross-section replica for Dijet cross-sections for anti-kt R=0.4 jets" +- location: "atlas_2015_jet_antiktr04_dijetmass_Ystar2_dijet_ewcorr.txt" + description: "Electro-weak corrections " +- location: "atlas_2015_jet_antiktr04_dijetmass_Ystar2_dijet_npcorr.txt" + description: "Non-perturbative corrections " +- location: "atlas_mjj_jet2015_r04_ystar2.yaml" + description: "Alternative correlation scenario " + +--- +# This is Table 9. +name: "Table 9" +location: Data from Figure 6 of pre-print https://arxiv.org/pdf/1711.02692.pdf +description: rapidity bin 1.0 < y* < 1.5 anti-kt R=0.4 +keywords: # used for searching, possibly multiple values for each keyword + - {name: reactions, values: [P P --> jet jet]} + - {name: observables, values: [SIG]} + - {name: cmenergies, values: [13000.0]} + - {name: phrases, values: [Dijet production, Cross Section, Proton-Proton Scattering]} +data_file: atlas_mjj_jet2015_r04_ystar3.yaml +additional_resources: +- location: https://ploughshare.web.cern.ch/ploughshare/db/atlas/atlas-atlas-dijets-13tev-arxiv-1711.02692/grids/atlas-atlas-dijets-13tev-arxiv-1711.02692-xsec002.root + description: NLO QCD calculation via applgrid +- location: "hepdata_tables_data_mjj_antiktr04_ystar3_replicas.tar.gz" + description: "Cross-section replica for Dijet cross-sections for anti-kt R=0.4 jets" +- location: "atlas_2015_jet_antiktr04_dijetmass_Ystar3_dijet_ewcorr.txt" + description: "Electro-weak corrections " +- location: "atlas_2015_jet_antiktr04_dijetmass_Ystar3_dijet_npcorr.txt" + description: "Non-perturbative corrections " +- location: "atlas_mjj_jet2015_r04_ystar3.yaml" + description: "Alternative correlation scenario " + +--- +# This is Table 10. +name: "Table 10" +location: Data from Figure 6 of pre-print https://arxiv.org/pdf/1711.02692.pdf +description: rapidity bin 1.5 < y* < 2.0 anti-kt R=0.4 +keywords: # used for searching, possibly multiple values for each keyword + - {name: reactions, values: [P P --> jet jet]} + - {name: observables, values: [SIG]} + - {name: cmenergies, values: [13000.0]} + - {name: phrases, values: [Dijet production, Cross Section, Proton-Proton Scattering]} +data_file: atlas_mjj_jet2015_r04_ystar4.yaml +additional_resources: +- location: https://ploughshare.web.cern.ch/ploughshare/db/atlas/atlas-atlas-dijets-13tev-arxiv-1711.02692/grids/atlas-atlas-dijets-13tev-arxiv-1711.02692-xsec003.root + description: NLO QCD calculation via applgrid +- location: "hepdata_tables_data_mjj_antiktr04_ystar4_replicas.tar.gz" + description: "Cross-section replica for Dijet cross-sections for anti-kt R=0.4 jets" +- location: "atlas_2015_jet_antiktr04_dijetmass_Ystar4_dijet_ewcorr.txt" + description: "Electro-weak corrections " +- location: "atlas_2015_jet_antiktr04_dijetmass_Ystar4_dijet_npcorr.txt" + description: "Non-perturbative corrections " +- location: "atlas_mjj_jet2015_r04_ystar4.yaml" + description: "Alternative correlation scenario " + +--- +# This is Table 11. +name: "Table 11" +location: Data from Figure 6 of pre-print https://arxiv.org/pdf/1711.02692.pdf +description: rapidity bin 2.0 < y* < 2.5 anti-kt R=0.4 +keywords: # used for searching, possibly multiple values for each keyword + - {name: reactions, values: [P P --> jet jet]} + - {name: observables, values: [SIG]} + - {name: cmenergies, values: [13000.0]} + - {name: phrases, values: [Dijet production, Cross Section, Proton-Proton Scattering]} +data_file: atlas_mjj_jet2015_r04_ystar5.yaml +additional_resources: +- location: https://ploughshare.web.cern.ch/ploughshare/db/atlas/atlas-atlas-dijets-13tev-arxiv-1711.02692/grids/atlas-atlas-dijets-13tev-arxiv-1711.02692-xsec004.root + description: NLO QCD calculation via applgrid +- location: "hepdata_tables_data_mjj_antiktr04_ystar5_replicas.tar.gz" + description: "Cross-section replica for Dijet cross-sections for anti-kt R=0.4 jets" +- location: "atlas_2015_jet_antiktr04_dijetmass_Ystar5_dijet_ewcorr.txt" + description: "Electro-weak corrections " +- location: "atlas_2015_jet_antiktr04_dijetmass_Ystar5_dijet_npcorr.txt" + description: "Non-perturbative corrections " +- location: "atlas_mjj_jet2015_r04_ystar5.yaml" + description: "Alternative correlation scenario " + +--- +# This is Table 12. +name: "Table 12" +location: Data from Figure 6 of pre-print https://arxiv.org/pdf/1711.02692.pdf +description: rapidity bin 2.5 < y* < 3.0 anti-kt R=0.4 +keywords: # used for searching, possibly multiple values for each keyword + - {name: reactions, values: [P P --> jet jet]} + - {name: observables, values: [SIG]} + - {name: cmenergies, values: [13000.0]} + - {name: phrases, values: [Dijet production, Cross Section, Proton-Proton Scattering]} +data_file: atlas_mjj_jet2015_r04_ystar6.yaml +additional_resources: +- location: https://ploughshare.web.cern.ch/ploughshare/db/atlas/atlas-atlas-dijets-13tev-arxiv-1711.02692/grids/atlas-atlas-dijets-13tev-arxiv-1711.02692-xsec005.root + description: NLO QCD calculation via applgrid +- location: "hepdata_tables_data_mjj_antiktr04_ystar6_replicas.tar.gz" + description: "Cross-section replica for Dijet cross-sections for anti-kt R=0.4 jets" +- location: "atlas_2015_jet_antiktr04_dijetmass_Ystar6_dijet_ewcorr.txt" + description: "Electro-weak corrections " +- location: "atlas_2015_jet_antiktr04_dijetmass_Ystar6_dijet_npcorr.txt" + description: "Non-perturbative corrections " +- location: "atlas_mjj_jet2015_r04_ystar6.yaml" + description: "Alternative correlation scenario " diff --git a/buildmaster/ATLAS_1JET_13TEV_DIF/uncertainties.yaml b/buildmaster/ATLAS_1JET_13TEV_DIF/uncertainties.yaml new file mode 100644 index 0000000000..e5494a9c06 --- /dev/null +++ b/buildmaster/ATLAS_1JET_13TEV_DIF/uncertainties.yaml @@ -0,0 +1,60999 @@ +definitions: + stat: + description: total statistical uncertainty + treatment: ADD + type: UNCORR + syst_JER_CROSS_CALIB_FORWARD: + description: '' + treatment: MULT + type: CORR + syst_JER_NOISE_FORWARD: + description: '' + treatment: MULT + type: CORR + syst_JER_NP0: + description: '' + treatment: MULT + type: CORR + syst_JER_NP1: + description: '' + treatment: MULT + type: CORR + syst_JER_NP2: + description: '' + treatment: MULT + type: CORR + syst_JER_NP3: + description: '' + treatment: MULT + type: CORR + syst_JER_NP4: + description: '' + treatment: MULT + type: CORR + syst_JER_NP5: + description: '' + treatment: MULT + type: CORR + syst_JER_NP6: + description: '' + treatment: MULT + type: CORR + syst_JER_NP7: + description: '' + treatment: MULT + type: CORR + syst_JER_NP8: + description: '' + treatment: MULT + type: CORR + syst_JES_EtaIntercalibration_Modelling: + description: '' + treatment: MULT + type: CORR + syst_JES_EtaIntercalibration_NonClosure: + description: '' + treatment: MULT + type: CORR + syst_JES_EtaIntercalibration_Stat0: + description: '' + treatment: MULT + type: CORR + syst_JES_EtaIntercalibration_Stat1: + description: '' + treatment: MULT + type: CORR + syst_JES_EtaIntercalibration_Stat10: + description: '' + treatment: MULT + type: CORR + syst_JES_EtaIntercalibration_Stat100: + description: '' + treatment: MULT + type: CORR + syst_JES_EtaIntercalibration_Stat101: + description: '' + treatment: MULT + type: CORR + syst_JES_EtaIntercalibration_Stat102: + description: '' + treatment: MULT + type: CORR + syst_JES_EtaIntercalibration_Stat103: + description: '' + treatment: MULT + type: CORR + syst_JES_EtaIntercalibration_Stat104: + description: '' + treatment: MULT + type: CORR + syst_JES_EtaIntercalibration_Stat105: + description: '' + treatment: MULT + type: CORR + syst_JES_EtaIntercalibration_Stat106: + description: '' + treatment: MULT + type: CORR + syst_JES_EtaIntercalibration_Stat107: + description: '' + treatment: MULT + type: CORR + syst_JES_EtaIntercalibration_Stat108: + description: '' + treatment: MULT + type: CORR + syst_JES_EtaIntercalibration_Stat109: + description: '' + treatment: MULT + type: CORR + syst_JES_EtaIntercalibration_Stat11: + description: '' + treatment: MULT + type: CORR + syst_JES_EtaIntercalibration_Stat110: + description: '' + treatment: MULT + type: CORR + syst_JES_EtaIntercalibration_Stat111: + description: '' + treatment: MULT + type: CORR + syst_JES_EtaIntercalibration_Stat112: + description: '' + treatment: MULT + type: CORR + syst_JES_EtaIntercalibration_Stat113: + description: '' + treatment: MULT + type: CORR + syst_JES_EtaIntercalibration_Stat114: + description: '' + treatment: MULT + type: CORR + syst_JES_EtaIntercalibration_Stat115: + description: '' + treatment: MULT + type: CORR + syst_JES_EtaIntercalibration_Stat116: + description: '' + treatment: MULT + type: CORR + 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syst_JES_EtaIntercalibration_TotalStat_MJB: 1.542233019844926e-06 + syst_JES_Flavour_Comp: 3.0834839062333373e-06 + syst_JES_Gjet_Generator: 3.6305840783543356e-06 + syst_JES_Gjet_OOC: 3.0308869988833306e-06 + syst_JES_Gjet_Purity: 8.654191860017895e-08 + syst_JES_Gjet_Stat1: 3.1055670979709966e-09 + syst_JES_Gjet_Stat10: 2.7739793499727068e-08 + syst_JES_Gjet_Stat11: 2.7851376985707547e-08 + syst_JES_Gjet_Stat12: 1.0299640127208328e-07 + syst_JES_Gjet_Stat13: 4.7455508373633505e-07 + syst_JES_Gjet_Stat14: 2.0356086927501563e-06 + syst_JES_Gjet_Stat15: 2.1240153012631526e-06 + syst_JES_Gjet_Stat2: 3.385639713554884e-09 + syst_JES_Gjet_Stat3: 3.385639713554884e-09 + syst_JES_Gjet_Stat4: 3.385639713554884e-09 + syst_JES_Gjet_Stat5: 3.385639713554884e-09 + syst_JES_Gjet_Stat6: 1.2851816992161069e-08 + syst_JES_Gjet_Stat7: 1.8766770500008788e-08 + syst_JES_Gjet_Stat8: 1.2851816992161069e-08 + syst_JES_Gjet_Stat9: 2.7825396223594013e-08 + syst_JES_Gjet_Veto: 3.4131768237230253e-06 + syst_JES_Gjet_dPhi: 0.0 + syst_JES_LArESZee: 4.452914663453591e-06 + syst_JES_LArEsmear: 1.8143232209283988e-07 + syst_JES_LAr_JVT: 5.245537361176641e-07 + syst_JES_MJB_Alpha: 1.547587396562792e-08 + syst_JES_MJB_Asym: 5.58364517206278e-07 + syst_JES_MJB_Beta: 2.7825396223594013e-08 + syst_JES_MJB_Stat1: 6.670993685351531e-11 + syst_JES_MJB_Stat10: 2.1867141445557077e-08 + syst_JES_MJB_Stat11: 1.2288900479701184e-08 + syst_JES_MJB_Stat12: 1.140209046622592e-08 + syst_JES_MJB_Stat13: 1.0011253667748111e-08 + syst_JES_MJB_Stat14: 0.0 + syst_JES_MJB_Stat15: 0.0 + syst_JES_MJB_Stat16: 0.0 + syst_JES_MJB_Stat2: 3.9239611045472915e-09 + syst_JES_MJB_Stat3: 1.547587396562792e-08 + syst_JES_MJB_Stat4: 5.308735725198609e-09 + syst_JES_MJB_Stat5: 1.2851816992161069e-08 + syst_JES_MJB_Stat6: 1.547587396562792e-08 + syst_JES_MJB_Stat7: 1.6142713526541937e-08 + syst_JES_MJB_Stat8: 1.613405327250409e-08 + syst_JES_MJB_Stat9: 1.613405327250409e-08 + syst_JES_MJB_Threshold: 1.5425803601433543e-07 + syst_JES_Pileup_MuOffset: 8.723473892320651e-07 + syst_JES_Pileup_NPVOffset: 0.0 + syst_JES_Pileup_Pt_term: 0.0 + syst_JES_PunchThrough_MC15: 8.457515060583693e-07 + syst_JES_SingleParticle_HighPt: 0.0 + syst_JES_Zjet_MC: 1.4101624684765935e-06 + syst_JES_Zjet_MuScale: 5.743917690043965e-08 + syst_JES_Zjet_MuSmearID: 1.2851816992161069e-08 + syst_JES_Zjet_MuSmearMS: 0.0 + syst_JES_Zjet_OOC: 1.1116302082977056e-06 + syst_JES_Zjet_Stat1: 2.783405647763186e-08 + syst_JES_Zjet_Stat10: 2.773982157026249e-08 + syst_JES_Zjet_Stat11: 4.0102706257651737e-08 + syst_JES_Zjet_Stat12: 1.621199555884469e-07 + syst_JES_Zjet_Stat13: 1.6195532563024904e-07 + syst_JES_Zjet_Stat2: 0.0 + syst_JES_Zjet_Stat3: 1.2851816992161069e-08 + syst_JES_Zjet_Stat4: 1.2851816992161069e-08 + syst_JES_Zjet_Stat5: 1.2851816992161069e-08 + syst_JES_Zjet_Stat6: 1.8766770500008788e-08 + syst_JES_Zjet_Stat7: 1.2851816992161069e-08 + syst_JES_Zjet_Stat8: 1.2851816992161069e-08 + syst_JES_Zjet_Stat9: 2.7825396223594013e-08 + syst_JES_Zjet_Veto: 1.5325876220301402e-07 + syst_JES_Zjet_dPhi: 1.541350949654231e-07 + syst_PRW: 0.0 + syst_Unfolding_bias: 1.3573e-06 + syst_cleaning: 1.7346488837802304e-07 + syst_lumi: 5.557e-07 + syst_splitted_1_perbinPercrossOpt17_JES_MJB_Fragmentation: 0.0 + syst_splitted_1_perbinPercrossOpt18_JES_Pileup_Rho_topology: 0.0 + syst_splitted_1_percrossOpt7_JES_Flavour_Response: 1.3046152718330412e-06 + syst_splitted_2_perbinPercrossOpt17_JES_MJB_Fragmentation: 5.0956934758676376e-08 + syst_splitted_2_perbinPercrossOpt18_JES_Pileup_Rho_topology: 6.114139350718137e-07 + syst_splitted_2_percrossOpt7_JES_Flavour_Response: 5.68837241660565e-07 + syst_splitted_3_perbinPercrossOpt17_JES_MJB_Fragmentation: 5.744346503302182e-08 + syst_splitted_3_perbinPercrossOpt18_JES_Pileup_Rho_topology: 8.840387321831549e-07 diff --git a/buildmaster/ATLAS_2JET_13TEV_DIF/data.yaml b/buildmaster/ATLAS_2JET_13TEV_DIF/data.yaml new file mode 100644 index 0000000000..525ef0db41 --- /dev/null +++ b/buildmaster/ATLAS_2JET_13TEV_DIF/data.yaml @@ -0,0 +1,137 @@ +data_central: +- 2262.8033116907745 +- 957.0090047292385 +- 399.55961447839996 +- 170.72626408776773 +- 77.35692282796698 +- 36.41663320880673 +- 18.234865133705654 +- 9.246345715898453 +- 4.885539674263707 +- 2.5656340501796873 +- 1.3569358802117621 +- 0.7135179240152719 +- 0.3786058796262168 +- 0.20343866700799643 +- 0.1082693787790832 +- 0.05683287305262107 +- 0.030728373238367728 +- 0.01651847155606903 +- 0.008422821369270838 +- 0.004536395495464134 +- 0.0022931234954102608 +- 0.001232038125973302 +- 0.0005737272034261709 +- 0.00031490350893292033 +- 0.00013433264463378713 +- 5.57668238421531e-05 +- 2.246129180313631e-05 +- 3.5932479675e-06 +- 1993.7133716091546 +- 851.2086678718653 +- 377.59525767504294 +- 176.57033549119998 +- 85.10565976293013 +- 42.249232493471936 +- 21.619155253990705 +- 11.327475265737219 +- 5.9289474283198835 +- 3.154934836515952 +- 1.6562228941537904 +- 0.8984080557506524 +- 0.47502668962505634 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2.9079452823444862 +- 1.0277924164653365 +- 0.38298026591309614 +- 0.11619962905235774 +- 0.0361313195000717 +- 0.00750803360513645 +- 0.0007073852979613151 +- 9.74174675050152e-06 diff --git a/buildmaster/ATLAS_2JET_13TEV_DIF/filter.py b/buildmaster/ATLAS_2JET_13TEV_DIF/filter.py new file mode 100644 index 0000000000..48757e4a1c --- /dev/null +++ b/buildmaster/ATLAS_2JET_13TEV_DIF/filter.py @@ -0,0 +1,79 @@ +import yaml +from validphys.commondata_utils import symmetrize_errors as se + +def processData(): + with open('metadata.yaml', 'r') as file: + metadata = yaml.safe_load(file) + + tables = metadata['implemented_observables'][0]['tables'] + + data_central = [] + kin = [] + error = [] + + for i in tables: + if i == 1: + y_min = 0 + y_max = 0.5 + elif i == 2: + y_min = 0.5 + y_max = 1 + elif i == 3: + y_min = 1 + y_max = 1.5 + elif i == 4: + y_min = 1.5 + y_max = 2 + elif i == 5: + y_min = 2 + y_max = 2.5 + elif i == 6: + y_min = 2.5 + y_max = 3 + y_central = None + hepdata_tables="rawdata/atlas_mjj_jet2015_r04_ystar"+str(i)+".yaml" + with open(hepdata_tables, 'r') as file: + input = yaml.safe_load(file) + + values = input['dependent_variables'][0]['values'] + sqrt_s = input['dependent_variables'][0]['qualifiers'][1]['value'] + + for j in range(len(values)): + m_jj_min = input['independent_variables'][0]['values'][j]['low'] + m_jj_max = input['independent_variables'][0]['values'][j]['high'] + value_delta = 0 + error_value = {} + for k in range(len(values[j]['errors'])): + se_delta, se_sigma = se(values[j]['errors'][k]['asymerror']['plus'], values[j]['errors'][k]['asymerror']['minus']) + value_delta = value_delta + se_delta + error_label = str(values[j]['errors'][k]['label']) + error_value[error_label] = se_sigma + data_central_value = values[j]['value'] + value_delta + data_central.append(data_central_value) + error.append(error_value) + kin_value = {'sqrt_s': {'min': None, 'mid': sqrt_s, 'max': None}, 'm_jj_sqr': {'min': m_jj_min**2, 'mid': None, 'max': m_jj_max**2}, 'y': {'min': y_min, 'mid': y_central, 'max': y_max}} + kin.append(kin_value) + + hepdata_tables="rawdata/atlas_mjj_jet2015_r04_ystar1.yaml" + with open(hepdata_tables, 'r') as file: + input = yaml.safe_load(file) + error_definition = {} + error_definition['stat'] = {'description': 'total statistical uncertainty', 'treatment': 'ADD', 'type': 'UNCORR'} + for i in range(1, len(input['dependent_variables'][0]['values'][0]['errors'])): + error_name = input['dependent_variables'][0]['values'][0]['errors'][i]['label'] + error_definition[error_name] = {'description': '', 'treatment': 'MULT', 'type': 'CORR'} + + data_central_yaml = {'data_central': data_central} + kinematics_yaml = {'bins': kin} + uncertainties_yaml = {'definitions': error_definition, 'bins': error} + + with open('data.yaml', 'w') as file: + yaml.dump(data_central_yaml, file, sort_keys=False) + + with open('kinematics.yaml', 'w') as file: + yaml.dump(kinematics_yaml, file, sort_keys=False) + + with open('uncertainties.yaml', 'w') as file: + yaml.dump(uncertainties_yaml, file, sort_keys=False) + +processData() diff --git a/buildmaster/ATLAS_2JET_13TEV_DIF/kinematics.yaml b/buildmaster/ATLAS_2JET_13TEV_DIF/kinematics.yaml new file mode 100644 index 0000000000..4ba47174a9 --- /dev/null +++ b/buildmaster/ATLAS_2JET_13TEV_DIF/kinematics.yaml @@ -0,0 +1,1633 @@ +bins: +- sqrt_s: + min: null + mid: 13000 + max: null + m_jj_sqr: + min: 67600 + mid: null + max: 96100 + y: + min: 0 + mid: null + max: 0.5 +- sqrt_s: + min: null + mid: 13000 + max: null + m_jj_sqr: + min: 96100 + mid: null + max: 136900 + y: + min: 0 + mid: null + max: 0.5 +- sqrt_s: + min: null + mid: 13000 + max: null + m_jj_sqr: + min: 136900 + mid: null + max: 193600 + y: + min: 0 + mid: null + max: 0.5 +- sqrt_s: + min: null + mid: 13000 + max: null + m_jj_sqr: + min: 193600 + mid: null + max: 260100 + y: + min: 0 + mid: null + max: 0.5 +- sqrt_s: + min: null + mid: 13000 + max: null + m_jj_sqr: + min: 260100 + mid: null + max: 348100 + y: + min: 0 + mid: null + max: 0.5 +- sqrt_s: + min: null + mid: 13000 + max: null + m_jj_sqr: + min: 348100 + mid: null + max: 448900 + y: + min: 0 + mid: null + max: 0.5 +- sqrt_s: + min: null + mid: 13000 + max: null + m_jj_sqr: + min: 448900 + mid: null + max: 577600 + y: + min: 0 + mid: null + max: 0.5 +- sqrt_s: + min: null + mid: 13000 + max: null + m_jj_sqr: + min: 577600 + mid: null + max: 722500 + y: + min: 0 + mid: null + max: 0.5 +- sqrt_s: + min: null + mid: 13000 + max: null + m_jj_sqr: + min: 722500 + mid: null + max: 902500 + y: + min: 0 + mid: null + max: 0.5 +- sqrt_s: + min: null + mid: 13000 + max: null + m_jj_sqr: + min: 902500 + mid: null + max: 1123600 + y: + min: 0 + mid: null + max: 0.5 +- sqrt_s: + min: null + mid: 13000 + max: null + m_jj_sqr: + min: 1123600 + mid: null + max: 1392400 + y: + min: 0 + mid: null + max: 0.5 +- sqrt_s: + min: null + mid: 13000 + max: null + m_jj_sqr: + min: 1392400 + mid: null + max: 1716100 + y: + min: 0 + 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m_jj and y", label: '$\frac{d^2\sigma}{dm_{jj} dy}$', units: "$pb/GeV$"} + observable_name: MJJ-Y + process_type: DIJET + ndata: 136 # 28+28+27+24+21+8 + tables: [1, 2, 3, 4, 5, 6] + kinematics: + variables: + y: {description: "half the absolute rapidity between the dijet", label: "$y^*$", units: ""} + m_jj_sqr: {description: "dijet invariant mass squared", label: "$m_{jj}^2$", units: "$GeV^2$"} + sqrt_s: {description: "center of mass energy", label: '$\sqrt{s}$', units: "$GeV$"} + file: kinematics.yaml + data_central: data.yaml + data_uncertainties: + - uncertainties.yaml + kinematic_coverage: [y, m_jj_sqr, sqrt_s] + plotting: + kinematics_override: identity + x_scale: log + dataset_label: 'ATLAS DiJet 13 TeV: $\frac{d^2\sigma}{dm_{jj} dy}$' + plot_x: m_jj_sqr + figure_by: + - y + theory: + FK_tables: + - - ATLAS_2JET_13TEV_DIF_MJJ-Y_BIN1 + - ATLAS_2JET_13TEV_DIF_MJJ-Y_BIN2 + - ATLAS_2JET_13TEV_DIF_MJJ-Y_BIN3 + - ATLAS_2JET_13TEV_DIF_MJJ-Y_BIN4 + - ATLAS_2JET_13TEV_DIF_MJJ-Y_BIN5 + - ATLAS_2JET_13TEV_DIF_MJJ-Y_BIN6 + operation: 'null' diff --git a/buildmaster/ATLAS_2JET_13TEV_DIF/rawdata/atlas_mjj_jet2015_r04_ystar1.yaml b/buildmaster/ATLAS_2JET_13TEV_DIF/rawdata/atlas_mjj_jet2015_r04_ystar1.yaml new file mode 100644 index 0000000000..36399760e6 --- /dev/null +++ b/buildmaster/ATLAS_2JET_13TEV_DIF/rawdata/atlas_mjj_jet2015_r04_ystar1.yaml @@ -0,0 +1,9529 @@ +independent_variables: +- header: {name: '$m_{12} $', units: GeV} + values: + - {low: 260, high: 310} + - {low: 310, high: 370} + - {low: 370, high: 440} + - {low: 440, high: 510} + - {low: 510, high: 590} + - {low: 590, high: 670} + - {low: 670, high: 760} + - {low: 760, high: 850} + - {low: 850, high: 950} + - {low: 950, high: 1060} + - {low: 1060, high: 1180} + - {low: 1180, high: 1310} + - {low: 1310, high: 1450} + - {low: 1450, high: 1600} + - {low: 1600, high: 1760} + - {low: 1760, high: 1940} + - {low: 1940, high: 2120} + - {low: 2120, high: 2330} + - {low: 2330, high: 2550} + - {low: 2550, high: 2780} + 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a/buildmaster/ATLAS_2JET_13TEV_DIF/rawdata/atlas_mjj_jet2015_r04_ystar4.yaml b/buildmaster/ATLAS_2JET_13TEV_DIF/rawdata/atlas_mjj_jet2015_r04_ystar4.yaml new file mode 100644 index 0000000000..76834c1150 --- /dev/null +++ b/buildmaster/ATLAS_2JET_13TEV_DIF/rawdata/atlas_mjj_jet2015_r04_ystar4.yaml @@ -0,0 +1,8169 @@ +independent_variables: +- header: {name: '$m_{12} $', units: GeV} + values: + - {low: 760, high: 850} + - {low: 850, high: 950} + - {low: 950, high: 1060} + - {low: 1060, high: 1180} + - {low: 1180, high: 1310} + - {low: 1310, high: 1450} + - {low: 1450, high: 1600} + - {low: 1600, high: 1760} + - {low: 1760, high: 1940} + - {low: 1940, high: 2120} + - {low: 2120, high: 2330} + - {low: 2330, high: 2550} + - {low: 2550, high: 2780} + - {low: 2780, high: 3040} + - {low: 3040, high: 3310} + - {low: 3310, high: 3610} + - {low: 3610, high: 3930} + - {low: 3930, high: 4270} + - {low: 4270, high: 4640} + - {low: 4640, high: 5040} + - {low: 5040, high: 5470} + - {low: 5470, high: 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+independent_variables: +- header: {name: '$m_{12} $', units: GeV} + values: + - {low: 1060, high: 1180} + - {low: 1180, high: 1310} + - {low: 1310, high: 1450} + - {low: 1450, high: 1600} + - {low: 1600, high: 1760} + - {low: 1760, high: 1940} + - {low: 1940, high: 2120} + - {low: 2120, high: 2330} + - {low: 2330, high: 2550} + - {low: 2550, high: 2780} + - {low: 2780, high: 3040} + - {low: 3040, high: 3310} + - {low: 3310, high: 3610} + - {low: 3610, high: 3930} + - {low: 3930, high: 4270} + - {low: 4270, high: 4640} + - {low: 4640, high: 5040} + - {low: 5040, high: 5470} + - {low: 5470, high: 5940} + - {low: 5940, high: 6440} + - {low: 6440, high: 9066} +dependent_variables: +- header: {name: '$d\sigma/dm_{12} dy* $'} + qualifiers: + - {name: RE, value: p p -> jet jet} + - {name: SQRTS(S), units: GeV, value: 13000} + values: + - value: 3.438500e+01 + errors: + - {asymerror: {plus: 1.428300e+00, minus: -1.428300e+00}, label: stat } + - {asymerror: {plus: -1.004900e-01, minus: 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b/buildmaster/ATLAS_2JET_13TEV_DIF/rawdata/atlas_mjj_jet2015_r04_ystar6.yaml new file mode 100644 index 0000000000..3c24731ad5 --- /dev/null +++ b/buildmaster/ATLAS_2JET_13TEV_DIF/rawdata/atlas_mjj_jet2015_r04_ystar6.yaml @@ -0,0 +1,2729 @@ +independent_variables: +- header: {name: '$m_{12} $', units: GeV} + values: + - {low: 1600, high: 1940} + - {low: 1940, high: 2330} + - {low: 2330, high: 2780} + - {low: 2780, high: 3310} + - {low: 3310, high: 3930} + - {low: 3930, high: 4640} + - {low: 4640, high: 6440} + - {low: 6440, high: 9066} +dependent_variables: +- header: {name: '$d\sigma/dm_{12} dy*$'} + qualifiers: + - {name: RE, value: p p -> jet jet} + - {name: SQRTS(S), units: GeV, value: 13000} + values: + - value: 3.016000e+00 + errors: + - {asymerror: {plus: 2.777500e-01, minus: -2.777500e-01}, label: stat } + - {asymerror: {plus: -3.072000e-02, minus: 3.072000e-02}, label: syst_JER_CROSS_CALIB_FORWARD } + - {asymerror: {plus: -1.390800e-02, minus: 1.390800e-02}, label: 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1.002900e-08}, label: syst_Unfolding_bias } + - {asymerror: {plus: 1.010700e-07, minus: 0.000000e+00}, label: syst_cleaning } + - {asymerror: {plus: 2.025000e-07, minus: -2.025000e-07}, label: syst_lumi } diff --git a/buildmaster/ATLAS_2JET_13TEV_DIF/rawdata/submission.yaml b/buildmaster/ATLAS_2JET_13TEV_DIF/rawdata/submission.yaml new file mode 100644 index 0000000000..df2b222d0d --- /dev/null +++ b/buildmaster/ATLAS_2JET_13TEV_DIF/rawdata/submission.yaml @@ -0,0 +1,387 @@ +# Start a new submission. This section is optional for the provision of information about the overall submission. +--- +additional_resources: # additional references (e.g. experiment TWiki page for analysis) + - {location: "http://atlas.web.cern.ch/Atlas/GROUPS/PHYSICS/PAPERS/STDM-2016-03/", description: "web page with auxiliary material"} + +comment: | # Information that applies to all data tables. + - Measurement of inclusive jet cross-sections with the ATLAS Detector at a centre-of-mass energy 13 TeV + Inclusive jet and dijet cross-sections are measured in proton-proton collisions at a centre-of-mass energy of + 13 TeV. The measurement uses a dataset with an integrated luminosity of 3.2 fb$^{−1} recorded in 2015 with + the ATLAS detector at the Large Hadron Collider. Jets are identified using the anti-kt algorithm with a radius + parameter value of R=0.4. The inclusive jet cross-sections are measured double-differentially as a function of + the jet transverse momentum, covering the range from 100 GeV to 3.5 TeV, and the absolute jet rapidity up to |y|=3. + The double-differential dijet production cross-sections are presented as a function of the dijet mass, covering the + range from 300 GeV to 9 TeV, and the half absolute rapidity separation between the two leading jets within |y|<3, y∗, + up to y∗=3. Next-to-leading-order, and next-to-next-to-leading-order for the inclusive jet measurement, perturbative QCD + calculations corrected for non-perturbative and electroweak effects are compared to the measured cross-sections. + + - The HepData contain the following files: + + o) HepData base tables in yaml format for each cross-section (rapidity or ystar bin) + Example: atlas_2015_jet_antiktr04_incljet_eta1.txt for R=04 and 0<|Y|<0.5 + atlas_2015_jet_antiktr04_mjj_ystar1.txt for R=0.4 and Ystar<0.5 + + These files are for the default correlation scenario (see below) + + Sometimes up and down uncertainties can have the same sign. + They need to be symmetrized for the chi2 calculation. + + o) Replica encoding the statistical uncertainties, e.g. to + calculate the global statistical correlation matrix + + The replica can be used to calculate the statistical uncertainty within a few percent. + For convenience, the cross-section tables also contains the statistical uncertainty. + + For inclusive jets: + hepdata_tables_data_replicas_incljets.tar.gz + + For dijets: + hepdata_tables_data_replicas_dijets.tar.gz + + The tarfile contains for each cross-section 10k replica files of the form + heprep9997_R06_Eta6.txt + The first number is the replica number (random), the following the jet cone size and the rapidity bin + + In each replica file the format is as follows: + The first lines are a description of the cross-section (following old HepData conventions). + It includes the replica number of each file, the rapidity bin and the jet cone radius (same as in file name). + The following lines with the numbers are the minimum and maximum bin edge and the fluctuated cross-section. + + o) The alternative splitting of the 2-points systematics is encoded in the following tables: + atlas_2015_jet_antiktr04_incljet_altcorr1_eta1.txt + + For the dijet no alternative correlation scenario is provided. + + To get the chi2 values as quoted in the paper the theory systematics need to be + also decorrelated as described in the paper. Note, that the splitting of the theory + numbers has a large effect on the global chi2. + + o) Electro-weak corrections as function of jet pt (for each rapidity bins) + as calculated with the method described in + Dittmaier, Huss, Speckner HEP11(2012) 095 arXiv:1210.0438 + are given in special tables like atlas_2015_jet_antiktr04_incljetpt_eta5_ewcorr.txt + (as example for R=0.4 and 2<|y|<0.5) + + Each line gives the bin minimum and maximum and the correction + The corrections are given as calculated. No uncertainty is given. + For some bins at high-pt the values need to be merged to compare to the measurements. + + o) Non-perturbative correction (hadronisation corrections and underlying event) as function of jet pt + (for each rapidity bins). See the paper for a description and references. + As described in the tables the default corrections is based on Pythia8AU2CT10_PYHW tune + The uncertainty based on pythia8 tunes: 4C MONASH ATLASA14NNPDF ATLASA14MRSTWLO ATLASA14CTEQL1 + and on Herwig tunes. + + Each line gives the middle of the pt bin, the bin minimum and maximum, the default correction and the up and down uncertainty. + + + Comments to HepData tables: + + o) The systematic uncertainties with the same names are correlated across the cross-section in the various rapidity bins, + The statistical uncertainties are uncorrelated in rapidity. + (see section 6 in arXiv:1706.03192 and ATLAS-CONF-2015-037) + + o) The statistical uncertainty of the in situ methods (Gjet, Zjet, MJB, EtaStat ) should be treated as any other + systematic uncertainty across pt and eta, but they are uncorrellated with the systematic uncertainties from a + different data-set (e.g. ATLAS 2012 and ATLAS 2015 data) even if they have the same name. + + o) The beam uncertainty is considered as theory systematics since it can be calculated from the applgrid tables. +hepdata_doi: 10.1007/JHEP05(2018)195 +record_ids: +- {id: 16034970, type: inspire} +- {id: 2292095, type: cds} +--- + + +--- +# Start of table entries +# This is Table 1. +name: "Table 1" +location: Data from Figure 5 of pre-print https://arxiv.org/pdf/1711.02692.pdf +description: rapidity bin 0 < |Y| < 0.5 anti-kt R=0.4 +keywords: # used for searching, possibly multiple values for each keyword + - {name: reactions, values: [P P --> jet jet]} + - {name: observables, values: [SIG]} + - {name: cmenergies, values: [13000.0]} + - {name: phrases, values: [Inclusive jet production cross section at 13 TeV, Proton-Proton Scattering]} +data_file: atlas_inclusive_jet2015_r04_eta1.yaml +additional_resources: +- location: https://ploughshare.web.cern.ch/ploughshare/db/atlas/atlas-atlas-incjet-13tev-arxiv-1711.02692/grids/atlas-atlas-incjet-13tev-arxiv-1711.02692-xsec000.root + description: NLO QCD calculation via applgrid (event scale) +- location: https://ploughshare.web.cern.ch/ploughshare/db/atlas/atlas-atlas-incjet-13tev-arxiv-1711.02692/grids/atlas-atlas-incjet-13tev-arxiv-1711.02692-xsec006.root + description: NLO QCD calculation via applgrid (jet scale) +- location: "hepdata_tables_data_incljets_antiktr04_eta1_replicas.tar.gz" + description: "Cross-section replica for inclusive jet cross-sections for anti-kt R=0.4 jets" +- location: "atlas_2015_jet_antiktr04_incljetpt_eta1_ewcorr.txt" + description: "Electro-weak corrections " +- location: "atlas_2015_jet_antiktr04_incljetpt_eta1_pythia8AU2CTEQ_PYHW_npcorr.txt" + description: "Non-perturbative corrections " +- location: "atlas_inclusive_jet2015_r04_altcorr1_eta1.yaml" + description: "Alternative correlation scenario " + +--- +# This is Table 2. +name: "Table 2" +location: Data from Figure 5 of pre-print https://arxiv.org/pdf/1711.02692.pdf +description: rapidity bin 0.5 < |Y| < 1.0 anti-kt R=0.4 +keywords: # used for searching, possibly multiple values for each keyword + - {name: reactions, values: [P P --> jet jet]} + - {name: observables, values: [SIG]} + - {name: cmenergies, values: [13000.0]} + - {name: phrases, values: [Inclusive, Cross Section, Proton-Proton Scattering, jet Production]} +data_file: atlas_inclusive_jet2015_r04_eta2.yaml +additional_resources: +- location: https://ploughshare.web.cern.ch/ploughshare/db/atlas/atlas-atlas-incjet-13tev-arxiv-1711.02692/grids/atlas-atlas-incjet-13tev-arxiv-1711.02692-xsec001.root + description: NLO QCD calculation via applgrid (event scale) +- location: https://ploughshare.web.cern.ch/ploughshare/db/atlas/atlas-atlas-incjet-13tev-arxiv-1711.02692/grids/atlas-atlas-incjet-13tev-arxiv-1711.02692-xsec007.root + description: NLO QCD calculation via applgrid (jet scale) +- location: "hepdata_tables_data_incljets_antiktr04_eta2_replicas.tar.gz" + description: "Cross-section replica for inclusive jet cross-sections for anti-kt R=0.4 jets" +- location: "atlas_2015_jet_antiktr04_incljetpt_eta2_ewcorr.txt" + description: "Electro-weak corrections " +- location: "atlas_2015_jet_antiktr04_incljetpt_eta2_pythia8AU2CTEQ_PYHW_npcorr.txt" + description: "Non-perturbative corrections " +- location: "atlas_inclusive_jet2015_r04_altcorr1_eta2.yaml" + description: "Alternative correlation scenario " + +--- +# This is Table 3. +name: "Table 3" +location: Data from Figure 5 of pre-print https://arxiv.org/pdf/1711.02692.pdf +description: rapidity bin 1.0 < |Y| < 1.5 anti-kt R=0.4 +keywords: # used for searching, possibly multiple values for each keyword + - {name: reactions, values: [P P --> jet jet]} + - {name: observables, values: [SIG]} + - {name: cmenergies, values: [13000.0]} + - {name: phrases, values: [Inclusive, Cross Section, Proton-Proton Scattering, jet Production]} +data_file: atlas_inclusive_jet2015_r04_eta3.yaml +additional_resources: +- location: https://ploughshare.web.cern.ch/ploughshare/db/atlas/atlas-atlas-incjet-13tev-arxiv-1711.02692/grids/atlas-atlas-incjet-13tev-arxiv-1711.02692-xsec002.root + description: NLO QCD calculation via applgrid (event scale) +- location: https://ploughshare.web.cern.ch/ploughshare/db/atlas/atlas-atlas-incjet-13tev-arxiv-1711.02692/grids/atlas-atlas-incjet-13tev-arxiv-1711.02692-xsec008.root + description: NLO QCD calculation via applgrid (jet scale) +- location: "hepdata_tables_data_incljets_antiktr04_eta3_replicas.tar.gz" + description: "Cross-section replica for inclusive jet cross-sections for anti-kt R=0.4 jets" +- location: "atlas_2015_jet_antiktr04_incljetpt_eta3_ewcorr.txt" + description: "Electro-weak corrections " +- location: "atlas_2015_jet_antiktr04_incljetpt_eta3_pythia8AU2CTEQ_PYHW_npcorr.txt" + description: "Non-perturbative corrections " +- location: "atlas_inclusive_jet2015_r04_altcorr1_eta3.yaml" + description: "Alternative correlation scenario " + +--- +# This is Table 4. +name: "Table 4" +location: Data from Figure 5 of pre-print https://arxiv.org/pdf/1711.02692.pdf +description: rapidity bin 1.5 < |Y| < 2.0 anti-kt R=0.4 +keywords: # used for searching, possibly multiple values for each keyword + - {name: reactions, values: [P P --> jet jet]} + - {name: observables, values: [SIG]} + - {name: cmenergies, values: [13000.0]} + - {name: phrases, values: [Inclusive, Cross Section, Proton-Proton Scattering, jet Production]} +data_file: atlas_inclusive_jet2015_r04_eta4.yaml +additional_resources: +- location: https://ploughshare.web.cern.ch/ploughshare/db/atlas/atlas-atlas-incjet-13tev-arxiv-1711.02692/grids/atlas-atlas-incjet-13tev-arxiv-1711.02692-xsec003.root + description: NLO QCD calculation via applgrid (event scale) +- location: https://ploughshare.web.cern.ch/ploughshare/db/atlas/atlas-atlas-incjet-13tev-arxiv-1711.02692/grids/atlas-atlas-incjet-13tev-arxiv-1711.02692-xsec009.root + description: NLO QCD calculation via applgrid (jet scale) +- location: https://ploughshare.web.cern.ch/ploughshare/record.php?dataset=atlas-atlas-incjet-13tev-arxiv-1711.02692/atlas-atlas-incjet-13tev-arxiv-1711.02692-xsec003.root + description: NLO QCD calculation via applgrid (event scale) +- location: https://ploughshare.web.cern.ch/ploughshare/record.php?dataset=atlas-atlas-incjet-13tev-arxiv-1711.02692/atlas-atlas-incjet-13tev-arxiv-1711.02692-xsec009.root + description: NLO QCD calculation via applgrid (jet scale) +- location: "hepdata_tables_data_incljets_antiktr04_eta4_replicas.tar.gz" + description: "Cross-section replica for inclusive jet cross-sections for anti-kt R=0.4 jets" +- location: "atlas_2015_jet_antiktr04_incljetpt_eta4_ewcorr.txt" + description: "Electro-weak corrections " +- location: "atlas_2015_jet_antiktr04_incljetpt_eta4_pythia8AU2CTEQ_PYHW_npcorr.txt" + description: "Non-perturbative corrections " +- location: "atlas_inclusive_jet2015_r04_altcorr1_eta4.yaml" + description: "Alternative correlation scenario " + +--- +# This is Table 5. +name: "Table 5" +location: Data from Figure 5 of pre-print https://arxiv.org/pdf/1711.02692.pdf +description: rapidity bin 2.0 < |Y| < 2.5 anti-kt R=0.4 +keywords: # used for searching, possibly multiple values for each keyword + - {name: reactions, values: [P P --> jet jet]} + - {name: observables, values: [SIG]} + - {name: cmenergies, values: [13000.0]} + - {name: phrases, values: [Inclusive, Cross Section, Proton-Proton Scattering, jet Production]} +data_file: atlas_inclusive_jet2015_r04_eta5.yaml +additional_resources: +- location: https://ploughshare.web.cern.ch/ploughshare/db/atlas/atlas-atlas-incjet-13tev-arxiv-1711.02692/grids/atlas-atlas-incjet-13tev-arxiv-1711.02692-xsec004.root + description: NLO QCD calculation via applgrid (event scale) +- location: https://ploughshare.web.cern.ch/ploughshare/db/atlas/atlas-atlas-incjet-13tev-arxiv-1711.02692/grids/atlas-atlas-incjet-13tev-arxiv-1711.02692-xsec010.root + description: NLO QCD calculation via applgrid (jet scale) +- location: "hepdata_tables_data_incljets_antiktr04_eta5_replicas.tar.gz" + description: "Cross-section replica for inclusive jet cross-sections for anti-kt R=0.4 jets" +- location: "atlas_2015_jet_antiktr04_incljetpt_eta5_ewcorr.txt" + description: "Electro-weak corrections " +- location: "atlas_2015_jet_antiktr04_incljetpt_eta5_pythia8AU2CTEQ_PYHW_npcorr.txt" + description: "Non-perturbative corrections " +- location: "atlas_inclusive_jet2015_r04_altcorr1_eta5.yaml" + description: "Alternative correlation scenario " + +--- +# This is Table 6. +name: "Table 6" +location: Data from Figure 5 of pre-print https://arxiv.org/pdf/1711.02692.pdf +description: rapidity bin 2.5 < |Y| < 3.0 anti-kt R=0.4 +keywords: # used for searching, possibly multiple values for each keyword + - {name: reactions, values: [P P --> jet jet]} + - {name: observables, values: [SIG]} + - {name: cmenergies, values: [13000.0]} + - {name: phrases, values: [Inclusive, Cross Section, Proton-Proton Scattering, jet Production]} +data_file: atlas_inclusive_jet2015_r04_eta6.yaml +additional_resources: +- location: https://ploughshare.web.cern.ch/ploughshare/db/atlas/atlas-atlas-incjet-13tev-arxiv-1711.02692/grids/atlas-atlas-incjet-13tev-arxiv-1711.02692-xsec005.root + description: NLO QCD calculation via applgrid (event scale) +- location: https://ploughshare.web.cern.ch/ploughshare/db/atlas/atlas-atlas-incjet-13tev-arxiv-1711.02692/grids/atlas-atlas-incjet-13tev-arxiv-1711.02692-xsec011.root + description: NLO QCD calculation via applgrid (jet scale) +- location: "hepdata_tables_data_incljets_antiktr04_eta6_replicas.tar.gz" + description: "Cross-section replica for inclusive jet cross-sections for anti-kt R=0.4 jets" +- location: "atlas_2015_jet_antiktr04_incljetpt_eta6_ewcorr.txt" + description: "Electro-weak corrections " +- location: "atlas_2015_jet_antiktr04_incljetpt_eta6_pythia8AU2CTEQ_PYHW_npcorr.txt" + description: "Non-perturbative corrections " +- location: "atlas_inclusive_jet2015_r04_altcorr1_eta6.yaml" + description: "Alternative correlation scenario " + +--- +# This is Table 7. +name: "Table 7" +location: Data from Figure 6 of pre-print https://arxiv.org/pdf/1711.02692.pdf +description: rapidity bin 0 < y* < 0.5 anti-kt R=0.4 +keywords: # used for searching, possibly multiple values for each keyword + - {name: reactions, values: [P P --> jet jet]} + - {name: observables, values: [SIG]} + - {name: cmenergies, values: [13000.0]} + - {name: phrases, values: [Dijet production, Cross Section, Proton-Proton Scattering]} +data_file: atlas_mjj_jet2015_r04_ystar1.yaml +additional_resources: +- location: https://ploughshare.web.cern.ch/ploughshare/db/atlas/atlas-atlas-dijets-13tev-arxiv-1711.02692/grids/atlas-atlas-dijets-13tev-arxiv-1711.02692-xsec000.root + description: NLO QCD calculation via applgrid +- location: "hepdata_tables_data_mjj_antiktr04_ystar1_replicas.tar.gz" + description: "Cross-section replica for Dijet cross-sections for anti-kt R=0.4 jets" +- location: "atlas_2015_jet_antiktr04_dijetmass_Ystar1_dijet_ewcorr.txt" + description: "Electro-weak corrections " +- location: "atlas_2015_jet_antiktr04_dijetmass_Ystar1_dijet_npcorr.txt" + description: "Non-perturbative corrections " +- location: "atlas_mjj_jet2015_r04_ystar1.yaml" + description: "Alternative correlation scenario " + +--- +# This is Table 8. +name: "Table 8" +location: Data from Figure 6 of pre-print https://arxiv.org/pdf/1711.02692.pdf +description: rapidity bin 0.5 < y* < 1.0 anti-kt R=0.4 +keywords: # used for searching, possibly multiple values for each keyword + - {name: reactions, values: [P P --> jet jet]} + - {name: observables, values: [SIG]} + - {name: cmenergies, values: [13000.0]} + - {name: phrases, values: [Dijet production, Cross Section, Proton-Proton Scattering]} +data_file: atlas_mjj_jet2015_r04_ystar2.yaml +additional_resources: +- location: https://ploughshare.web.cern.ch/ploughshare/db/atlas/atlas-atlas-dijets-13tev-arxiv-1711.02692/grids/atlas-atlas-dijets-13tev-arxiv-1711.02692-xsec001.root + description: NLO QCD calculation via applgrid +- location: "hepdata_tables_data_mjj_antiktr04_ystar2_replicas.tar.gz" + description: "Cross-section replica for Dijet cross-sections for anti-kt R=0.4 jets" +- location: "atlas_2015_jet_antiktr04_dijetmass_Ystar2_dijet_ewcorr.txt" + description: "Electro-weak corrections " +- location: "atlas_2015_jet_antiktr04_dijetmass_Ystar2_dijet_npcorr.txt" + description: "Non-perturbative corrections " +- location: "atlas_mjj_jet2015_r04_ystar2.yaml" + description: "Alternative correlation scenario " + +--- +# This is Table 9. +name: "Table 9" +location: Data from Figure 6 of pre-print https://arxiv.org/pdf/1711.02692.pdf +description: rapidity bin 1.0 < y* < 1.5 anti-kt R=0.4 +keywords: # used for searching, possibly multiple values for each keyword + - {name: reactions, values: [P P --> jet jet]} + - {name: observables, values: [SIG]} + - {name: cmenergies, values: [13000.0]} + - {name: phrases, values: [Dijet production, Cross Section, Proton-Proton Scattering]} +data_file: atlas_mjj_jet2015_r04_ystar3.yaml +additional_resources: +- location: https://ploughshare.web.cern.ch/ploughshare/db/atlas/atlas-atlas-dijets-13tev-arxiv-1711.02692/grids/atlas-atlas-dijets-13tev-arxiv-1711.02692-xsec002.root + description: NLO QCD calculation via applgrid +- location: "hepdata_tables_data_mjj_antiktr04_ystar3_replicas.tar.gz" + description: "Cross-section replica for Dijet cross-sections for anti-kt R=0.4 jets" +- location: "atlas_2015_jet_antiktr04_dijetmass_Ystar3_dijet_ewcorr.txt" + description: "Electro-weak corrections " +- location: "atlas_2015_jet_antiktr04_dijetmass_Ystar3_dijet_npcorr.txt" + description: "Non-perturbative corrections " +- location: "atlas_mjj_jet2015_r04_ystar3.yaml" + description: "Alternative correlation scenario " + +--- +# This is Table 10. +name: "Table 10" +location: Data from Figure 6 of pre-print https://arxiv.org/pdf/1711.02692.pdf +description: rapidity bin 1.5 < y* < 2.0 anti-kt R=0.4 +keywords: # used for searching, possibly multiple values for each keyword + - {name: reactions, values: [P P --> jet jet]} + - {name: observables, values: [SIG]} + - {name: cmenergies, values: [13000.0]} + - {name: phrases, values: [Dijet production, Cross Section, Proton-Proton Scattering]} +data_file: atlas_mjj_jet2015_r04_ystar4.yaml +additional_resources: +- location: https://ploughshare.web.cern.ch/ploughshare/db/atlas/atlas-atlas-dijets-13tev-arxiv-1711.02692/grids/atlas-atlas-dijets-13tev-arxiv-1711.02692-xsec003.root + description: NLO QCD calculation via applgrid +- location: "hepdata_tables_data_mjj_antiktr04_ystar4_replicas.tar.gz" + description: "Cross-section replica for Dijet cross-sections for anti-kt R=0.4 jets" +- location: "atlas_2015_jet_antiktr04_dijetmass_Ystar4_dijet_ewcorr.txt" + description: "Electro-weak corrections " +- location: "atlas_2015_jet_antiktr04_dijetmass_Ystar4_dijet_npcorr.txt" + description: "Non-perturbative corrections " +- location: "atlas_mjj_jet2015_r04_ystar4.yaml" + description: "Alternative correlation scenario " + +--- +# This is Table 11. +name: "Table 11" +location: Data from Figure 6 of pre-print https://arxiv.org/pdf/1711.02692.pdf +description: rapidity bin 2.0 < y* < 2.5 anti-kt R=0.4 +keywords: # used for searching, possibly multiple values for each keyword + - {name: reactions, values: [P P --> jet jet]} + - {name: observables, values: [SIG]} + - {name: cmenergies, values: [13000.0]} + - {name: phrases, values: [Dijet production, Cross Section, Proton-Proton Scattering]} +data_file: atlas_mjj_jet2015_r04_ystar5.yaml +additional_resources: +- location: https://ploughshare.web.cern.ch/ploughshare/db/atlas/atlas-atlas-dijets-13tev-arxiv-1711.02692/grids/atlas-atlas-dijets-13tev-arxiv-1711.02692-xsec004.root + description: NLO QCD calculation via applgrid +- location: "hepdata_tables_data_mjj_antiktr04_ystar5_replicas.tar.gz" + description: "Cross-section replica for Dijet cross-sections for anti-kt R=0.4 jets" +- location: "atlas_2015_jet_antiktr04_dijetmass_Ystar5_dijet_ewcorr.txt" + description: "Electro-weak corrections " +- location: "atlas_2015_jet_antiktr04_dijetmass_Ystar5_dijet_npcorr.txt" + description: "Non-perturbative corrections " +- location: "atlas_mjj_jet2015_r04_ystar5.yaml" + description: "Alternative correlation scenario " + +--- +# This is Table 12. +name: "Table 12" +location: Data from Figure 6 of pre-print https://arxiv.org/pdf/1711.02692.pdf +description: rapidity bin 2.5 < y* < 3.0 anti-kt R=0.4 +keywords: # used for searching, possibly multiple values for each keyword + - {name: reactions, values: [P P --> jet jet]} + - {name: observables, values: [SIG]} + - {name: cmenergies, values: [13000.0]} + - {name: phrases, values: [Dijet production, Cross Section, Proton-Proton Scattering]} +data_file: atlas_mjj_jet2015_r04_ystar6.yaml +additional_resources: +- location: https://ploughshare.web.cern.ch/ploughshare/db/atlas/atlas-atlas-dijets-13tev-arxiv-1711.02692/grids/atlas-atlas-dijets-13tev-arxiv-1711.02692-xsec005.root + description: NLO QCD calculation via applgrid +- location: "hepdata_tables_data_mjj_antiktr04_ystar6_replicas.tar.gz" + description: "Cross-section replica for Dijet cross-sections for anti-kt R=0.4 jets" +- location: "atlas_2015_jet_antiktr04_dijetmass_Ystar6_dijet_ewcorr.txt" + description: "Electro-weak corrections " +- location: "atlas_2015_jet_antiktr04_dijetmass_Ystar6_dijet_npcorr.txt" + description: "Non-perturbative corrections " +- location: "atlas_mjj_jet2015_r04_ystar6.yaml" + description: "Alternative correlation scenario " diff --git a/buildmaster/ATLAS_2JET_13TEV_DIF/uncertainties.yaml b/buildmaster/ATLAS_2JET_13TEV_DIF/uncertainties.yaml new file mode 100644 index 0000000000..88c9e163f4 --- /dev/null +++ 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1.9139161423636093e-11 + syst_JES_Pileup_NPVOffset: 4.8345796870048585e-09 + syst_JES_Pileup_Pt_term: 1.953497632453134e-07 + syst_JES_Pileup_Rho_topology: 1.1348540027245795e-07 + syst_JES_PunchThrough_MC15: 4.9138281410729045e-17 + syst_JES_SingleParticle_HighPt: 0.0 + syst_JES_Zjet_MC: 3.18553021489359e-07 + syst_JES_Zjet_MuScale: 1.4576769558101685e-08 + syst_JES_Zjet_MuSmearID: 3.267187779677654e-10 + syst_JES_Zjet_MuSmearMS: 7.73853130445306e-09 + syst_JES_Zjet_OOC: 7.838863513769073e-08 + syst_JES_Zjet_Stat1: 1.0583270518496396e-09 + syst_JES_Zjet_Stat10: 2.5223801299566246e-08 + syst_JES_Zjet_Stat11: 1.9986608907153307e-08 + syst_JES_Zjet_Stat12: 6.742873793865639e-11 + syst_JES_Zjet_Stat13: 7.730280379779248e-09 + syst_JES_Zjet_Stat2: 0.0 + syst_JES_Zjet_Stat3: 3.0727924157026943e-12 + syst_JES_Zjet_Stat4: 3.073005562555981e-12 + syst_JES_Zjet_Stat5: 1.0583270518496396e-09 + syst_JES_Zjet_Stat6: 1.0597992888404625e-09 + syst_JES_Zjet_Stat7: 2.124697992300729e-09 + syst_JES_Zjet_Stat8: 1.320836169818195e-08 + syst_JES_Zjet_Stat9: 1.5382334283196422e-08 + syst_JES_Zjet_Veto: 9.513149360227662e-09 + syst_JES_Zjet_dPhi: 1.2486901967661954e-08 + syst_PRW: 1.948e-12 + syst_Unfolding_bias: 1.0029e-08 + syst_cleaning: 8.752918756049322e-08 + syst_lumi: 2.025e-07 diff --git a/buildmaster/CMS_1JET_13TEV_DIF/artUnc.py b/buildmaster/CMS_1JET_13TEV_DIF/artUnc.py new file mode 100644 index 0000000000..fc33fbc2a6 --- /dev/null +++ b/buildmaster/CMS_1JET_13TEV_DIF/artUnc.py @@ -0,0 +1,166 @@ +import numpy +import yaml + +# it was decided to not implement the correlation matrices due to some considerations + +corMat_r04 = [ + 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1.3009 +- 0.52736 +- 0.21823 +- 0.091758 +- 0.03788 +- 0.015827 +- 0.006544 +- 0.0026946 +- 0.0010254 +- 0.00040474 +- 0.0001539 +- 5.2173e-05 +- 1.5438e-05 +- 4.728e-06 +- 9000.7 +- 2078.9 +- 568.22 +- 173.56 +- 57.566 +- 20.315 +- 7.5862 +- 2.8637 +- 1.1446 +- 0.45487 +- 0.18549 +- 0.076526 +- 0.030727 +- 0.012592 +- 0.004953 +- 0.001881 +- 0.00071964 +- 0.00024 +- 8.4814e-05 +- 2.5943e-05 +- 5.5024e-06 +- 7983.1 +- 1798.2 +- 498.15 +- 147.96 +- 48.613 +- 16.682 +- 6.0398 +- 2.2293 +- 0.85951 +- 0.32387 +- 0.1268 +- 0.046872 +- 0.017771 +- 0.0061798 +- 0.0021499 +- 0.00065549 +- 0.00018439 +- 4.5586e-05 +- 1.2683e-05 +- 6398.1 +- 1433.8 +- 384.15 +- 112.6 +- 35.675 +- 11.85 +- 4.0593 +- 1.3916 +- 0.48126 +- 0.15914 +- 0.05135 +- 0.01568 +- 0.0042987 +- 0.0010837 +- 0.00019352 +- 4.5045e-05 diff --git a/buildmaster/CMS_1JET_13TEV_DIF/data_r07.yaml b/buildmaster/CMS_1JET_13TEV_DIF/data_r07.yaml new file mode 100644 index 0000000000..818cf86502 --- /dev/null +++ b/buildmaster/CMS_1JET_13TEV_DIF/data_r07.yaml @@ -0,0 +1,79 @@ +data_central: +- 14739.0 +- 3236.1 +- 860.53 +- 257.43 +- 85.387 +- 29.655 +- 10.995 +- 4.1893 +- 1.658 +- 0.66639 +- 0.27377 +- 0.11371 +- 0.046858 +- 0.019377 +- 0.0079559 +- 0.0032744 +- 0.0012515 +- 0.00047427 +- 0.00018159 +- 6.1275e-05 +- 1.9348e-05 +- 4.6008e-06 +- 14044.0 +- 3098.1 +- 809.56 +- 239.03 +- 78.106 +- 26.816 +- 9.9344 +- 3.6875 +- 1.4541 +- 0.57423 +- 0.23176 +- 0.094427 +- 0.037948 +- 0.015385 +- 0.0059762 +- 0.0022924 +- 0.0008588 +- 0.00028585 +- 9.9176e-05 +- 3.2347e-05 +- 5.4008e-06 +- 12330.0 +- 2636.1 +- 694.21 +- 203.15 +- 64.404 +- 21.956 +- 7.8131 +- 2.8565 +- 1.076 +- 0.40606 +- 0.15573 +- 0.05818 +- 0.021407 +- 0.0076113 +- 0.0025653 +- 0.0008125 +- 0.00022023 +- 5.5051e-05 +- 1.4647e-05 +- 9859.2 +- 2086.1 +- 539.35 +- 151.3 +- 47.807 +- 15.458 +- 5.2111 +- 1.7723 +- 0.60443 +- 0.20023 +- 0.064457 +- 0.019509 +- 0.0053995 +- 0.0013422 +- 0.00026293 +- 5.0274e-05 diff --git a/buildmaster/CMS_1JET_13TEV_DIF/filter.py b/buildmaster/CMS_1JET_13TEV_DIF/filter.py new file mode 100644 index 0000000000..ecd33e8f8b --- /dev/null +++ b/buildmaster/CMS_1JET_13TEV_DIF/filter.py @@ -0,0 +1,133 @@ +import yaml + +def processData(): + with open('metadata.yaml', 'r') as file: + metadata = yaml.safe_load(file) + + tables_r04 = metadata['implemented_observables'][0]['tables'] + tables_r07 = metadata['implemented_observables'][1]['tables'] + + data_central_r04 = [] + kin_r04 = [] + error_r04 = [] + data_central_r07 = [] + kin_r07 = [] + error_r07 = [] + +# r04 data + + for i in tables_r04: + if i == 1: + y_min = 0 + y_max = 0.5 + elif i == 2: + y_min = 0.5 + y_max = 1 + elif i == 3: + y_min = 1 + y_max = 1.5 + elif i == 4: + y_min = 1.5 + y_max = 2 + hepdata_tables="rawdata/ak4_xsec_ybin"+str(i)+".yaml" + with open(hepdata_tables, 'r') as file: + input = yaml.safe_load(file) + + values = input['dependent_variables'][0]['values'] + sqrt_s = 13000 + + for j in range(len(values)): + data_central_value = values[j]['value'] + data_central_r04.append(data_central_value) + pT_min = input['independent_variables'][0]['values'][j]['low'] + pT_max = input['independent_variables'][0]['values'][j]['high'] + kin_value = {'sqrt_s': {'min': None, 'mid': sqrt_s, 'max': None}, 'pT_sqr': {'min': pT_min**2, 'mid': None, 'max': pT_max**2}, 'y': {'min': y_min, 'mid': None, 'max': y_max}} + kin_r04.append(kin_value) + error_value = {} + error_value['all uncorr. unc.'] = values[j]['errors'][0]['symerror'] + for k in range(1, len(values[j]['errors'])): + error_label = values[j]['errors'][k]['label'] + error_value[error_label] = values[j]['errors'][k]['symerror'] + error_r04.append(error_value) + + hepdata_tables="rawdata/ak4_xsec_ybin1.yaml" + with open(hepdata_tables, 'r') as file: + input = yaml.safe_load(file) + error_definition_r04 = {} + error_definition_r04['all uncorr. unc.'] = {'description': 'all uncorrelated uncertainties', 'treatment': 'ADD', 'type': 'UNCORR'} + for i in range(1, len(input['dependent_variables'][0]['values'][0]['errors'])): + error_name = input['dependent_variables'][0]['values'][0]['errors'][i]['label'] + error_definition_r04[error_name] = {'description': '', 'treatment': 'MULT', 'type': 'CORR'} + + data_central_r04_yaml = {'data_central': data_central_r04} + kinematics_r04_yaml = {'bins': kin_r04} + uncertainties_r04_yaml = {'definitions': error_definition_r04, 'bins': error_r04} + + with open('data_r04.yaml', 'w') as file: + yaml.dump(data_central_r04_yaml, file, sort_keys=False) + + with open('kinematics_r04.yaml', 'w') as file: + yaml.dump(kinematics_r04_yaml, file, sort_keys=False) + + with open('uncertainties_r04.yaml', 'w') as file: + yaml.dump(uncertainties_r04_yaml, file, sort_keys=False) + +# r07 data + + for i in tables_r07: + if i == 1: + y_min = 0 + y_max = 0.5 + elif i == 2: + y_min = 0.5 + y_max = 1 + elif i == 3: + y_min = 1 + y_max = 1.5 + elif i == 4: + y_min = 1.5 + y_max = 2 + hepdata_tables="rawdata/ak7_xsec_ybin"+str(i)+".yaml" + with open(hepdata_tables, 'r') as file: + input = yaml.safe_load(file) + + values = input['dependent_variables'][0]['values'] + sqrt_s = 13000 + + for j in range(len(values)): + data_central_value = values[j]['value'] + data_central_r07.append(data_central_value) + pT_min = input['independent_variables'][0]['values'][j]['low'] + pT_max = input['independent_variables'][0]['values'][j]['high'] + kin_value = {'sqrt_s': {'min': None, 'mid': sqrt_s, 'max': None}, 'pT_sqr': {'min': pT_min**2, 'mid': None, 'max': pT_max**2}, 'y': {'min': y_min, 'mid': None, 'max': y_max}} + kin_r07.append(kin_value) + error_value = {} + error_value['all uncorr. unc.'] = values[j]['errors'][0]['symerror'] + for k in range(1, len(values[j]['errors'])): + error_label = values[j]['errors'][k]['label'] + error_value[error_label] = values[j]['errors'][k]['symerror'] + error_r07.append(error_value) + + hepdata_tables="rawdata/ak7_xsec_ybin1.yaml" + with open(hepdata_tables, 'r') as file: + input = yaml.safe_load(file) + error_definition_r07 = {} + error_definition_r07['all uncorr. unc.'] = {'description': 'all uncorrelated uncertainties', 'treatment': 'ADD', 'type': 'UNCORR'} + for i in range(1, len(input['dependent_variables'][0]['values'][0]['errors'])): + error_name = input['dependent_variables'][0]['values'][0]['errors'][i]['label'] + error_definition_r07[error_name] = {'description': '', 'treatment': 'MULT', 'type': 'CORR'} + + data_central_r07_yaml = {'data_central': data_central_r07} + kinematics_r07_yaml = {'bins': kin_r07} + uncertainties_r07_yaml = {'definitions': error_definition_r07, 'bins': error_r07} + + with open('data_r07.yaml', 'w') as file: + yaml.dump(data_central_r07_yaml, file, sort_keys=False) + + with open('kinematics_r07.yaml', 'w') as file: + yaml.dump(kinematics_r07_yaml, file, sort_keys=False) + + with open('uncertainties_r07.yaml', 'w') as file: + yaml.dump(uncertainties_r07_yaml, file, sort_keys=False) + 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+ min: null + mid: 13000 + max: null + pT_sqr: + min: 1557504.0 + mid: null + max: 1988100.0 + y: + min: 1.5 + mid: null + max: 2 +- sqrt_s: + min: null + mid: 13000 + max: null + pT_sqr: + min: 1988100.0 + mid: null + max: 2521744.0 + y: + min: 1.5 + mid: null + max: 2 diff --git a/buildmaster/CMS_1JET_13TEV_DIF/metadata.yaml b/buildmaster/CMS_1JET_13TEV_DIF/metadata.yaml new file mode 100644 index 0000000000..b86039f321 --- /dev/null +++ b/buildmaster/CMS_1JET_13TEV_DIF/metadata.yaml @@ -0,0 +1,78 @@ +setname: 'CMS_1JET_13TEV_DIF' + +nnpdf_metadata: + nnpdf31_process: "1JET" + experiment: "CMS" + +arXiv: + url: "https://arxiv.org/abs/2111.10431" +iNSPIRE: + url: "https://inspirehep.net/literature/1972986" +hepdata: + url: "https://www.hepdata.net/record/ins1972986" + version: 1 + +version: 1 +version_comment: "NA" + +implemented_observables: + + - observable: {description: "double differential cross section w.r.t. pT and y", label: '$\frac{d^2\sigma}{dp_T dy}$', units: "$pb/GeV$"} + observable_name: PT-Y-R04 + process_type: JET + ndata: 78 # 22+21+19+16 + tables: [1, 2, 3, 4] + kinematics: + variables: + y: {description: "absolute rapidity", label: "$y$", units: ""} + pT_sqr: {description: "transverse momentum squared", label: "$p_T^2$", units: "$GeV^2$"} + sqrt_s: {description: "center of mass energy", label: '$\sqrt{s}$', units: "$GeV$"} + file: kinematics_r04.yaml + data_central: data_r04.yaml + data_uncertainties: + - uncertainties_r04.yaml + kinematic_coverage: [y, pT_sqr, sqrt_s] + plotting: + kinematics_override: identity + dataset_label: 'CMS Jet 13 TeV R = 0.4: $\frac{d^2\sigma}{dp_T dy}$' + plot_x: pT_sqr + x_scale: log + figure_by: + - y + theory: + FK_tables: + - - CMS_1JET_13TEV_DIF_PT-Y-R04_BIN1 + - CMS_1JET_13TEV_DIF_PT-Y-R04_BIN2 + - CMS_1JET_13TEV_DIF_PT-Y-R04_BIN3 + - CMS_1JET_13TEV_DIF_PT-Y-R04_BIN4 + operation: 'null' + + - observable: {description: "double differential cross section w.r.t. pT and y", label: '$\frac{d^2\sigma}{dp_T dy}$', units: "$pb/GeV$"} + observable_name: PT-Y-R07 + process_type: JET + ndata: 78 # 22+21+19+16 + tables: [1, 2, 3, 4] + kinematics: + variables: + y: {description: "absolute rapidity", label: "$y$", units: ""} + pT_sqr: {description: "transverse momentum squared", label: "$p_T^2$", units: "$GeV^2$"} + sqrt_s: {description: "center of mass energy", label: '$\sqrt{s}$', units: "$GeV$"} + file: kinematics_r07.yaml + data_central: data_r07.yaml + data_uncertainties: + - uncertainties_r07.yaml + kinematic_coverage: [y, pT_sqr, sqrt_s] + plotting: + kinematics_override: identity + dataset_label: 'CMS Jet 13 TeV R = 0.7: $\frac{d^2\sigma}{dp_T dy}$' + plot_x: pT_sqr + x_scale: log + figure_by: + - y + theory: + FK_tables: + - - CMS_1JET_13TEV_DIF_PT-Y-R07_BIN1 + - CMS_1JET_13TEV_DIF_PT-Y-R07_BIN2 + - CMS_1JET_13TEV_DIF_PT-Y-R07_BIN3 + - CMS_1JET_13TEV_DIF_PT-Y-R07_BIN4 + operation: 'null' diff --git a/buildmaster/CMS_1JET_13TEV_DIF/rawdata/ak4_correlations_y1_y1.yaml 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2000.0 + - high: 2500.0 + low: 2238.0 + - high: 2787.0 + low: 2500.0 diff --git a/buildmaster/CMS_1JET_13TEV_DIF/rawdata/ak4_np_ybin3.yaml b/buildmaster/CMS_1JET_13TEV_DIF/rawdata/ak4_np_ybin3.yaml new file mode 100644 index 0000000000..f746d01eac --- /dev/null +++ b/buildmaster/CMS_1JET_13TEV_DIF/rawdata/ak4_np_ybin3.yaml @@ -0,0 +1,123 @@ +dependent_variables: +- header: + name: NP + values: + - errors: + - label: syst. unc. + symerror: 0.031658 + value: 0.96883 + - errors: + - label: syst. unc. + symerror: 0.027182 + value: 0.97079 + - errors: + - label: syst. unc. + symerror: 0.02372 + value: 0.97254 + - errors: + - label: syst. unc. + symerror: 0.020907 + value: 0.97412 + - errors: + - label: syst. unc. + symerror: 0.018542 + value: 0.97555 + - errors: + - label: syst. unc. + symerror: 0.016506 + value: 0.97687 + - errors: + - label: syst. unc. + symerror: 0.014711 + value: 0.97808 + - errors: + - label: syst. unc. + symerror: 0.013118 + value: 0.97921 + - errors: + - label: syst. 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97.0 + - high: 174.0 + low: 133.0 + - high: 220.0 + low: 174.0 + - high: 272.0 + low: 220.0 + - high: 330.0 + low: 272.0 + - high: 395.0 + low: 330.0 + - high: 468.0 + low: 395.0 + - high: 548.0 + low: 468.0 + - high: 638.0 + low: 548.0 + - high: 737.0 + low: 638.0 + - high: 846.0 + low: 737.0 + - high: 967.0 + low: 846.0 + - high: 1101.0 + low: 967.0 + - high: 1248.0 + low: 1101.0 + - high: 1410.0 + low: 1248.0 + - high: 1588.0 + low: 1410.0 diff --git a/buildmaster/CMS_1JET_13TEV_DIF/rawdata/ak4_xsec_ybin1.yaml b/buildmaster/CMS_1JET_13TEV_DIF/rawdata/ak4_xsec_ybin1.yaml new file mode 100644 index 0000000000..bd3c41ae63 --- /dev/null +++ b/buildmaster/CMS_1JET_13TEV_DIF/rawdata/ak4_xsec_ybin1.yaml @@ -0,0 +1,1418 @@ +dependent_variables: +- header: + name: '#sigma' + units: pb/GeV + values: + - errors: + - label: all uncorr. unc. 1 + symerror: 43.735 + - label: AbsoluteMPFBias + symerror: 100.46 + - label: AbsoluteScale + symerror: 61.326 + - label: fake + symerror: -0.54818 + - 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TimePtEta + symerror: 2.1306e-07 + - label: Lumi + symerror: 5.6736e-08 + - label: model + symerror: 1.2944e-08 + value: 4.728e-06 +independent_variables: +- header: + name: Jet p_{T} + units: GeV + values: + - high: 133.0 + low: 97.0 + - high: 174.0 + low: 133.0 + - high: 220.0 + low: 174.0 + - high: 272.0 + low: 220.0 + - high: 330.0 + low: 272.0 + - high: 395.0 + low: 330.0 + - high: 468.0 + low: 395.0 + - high: 548.0 + low: 468.0 + - high: 638.0 + low: 548.0 + - high: 737.0 + low: 638.0 + - high: 846.0 + low: 737.0 + - high: 967.0 + low: 846.0 + - high: 1101.0 + low: 967.0 + - high: 1248.0 + low: 1101.0 + - high: 1410.0 + low: 1248.0 + - high: 1588.0 + low: 1410.0 + - high: 1784.0 + low: 1588.0 + - high: 2000.0 + low: 1784.0 + - high: 2238.0 + low: 2000.0 + - high: 2500.0 + low: 2238.0 + - high: 2787.0 + low: 2500.0 + - high: 3103.0 + low: 2787.0 diff --git a/buildmaster/CMS_1JET_13TEV_DIF/rawdata/ak4_xsec_ybin2.yaml b/buildmaster/CMS_1JET_13TEV_DIF/rawdata/ak4_xsec_ybin2.yaml new file mode 100644 index 0000000000..83714b1eb1 --- /dev/null +++ b/buildmaster/CMS_1JET_13TEV_DIF/rawdata/ak4_xsec_ybin2.yaml @@ -0,0 +1,1354 @@ +dependent_variables: +- header: + name: '#sigma' + units: pb/GeV + values: + - errors: + - label: all uncorr. unc. 2 + symerror: 44.315 + - label: AbsoluteMPFBias + symerror: 106.77 + - label: AbsoluteScale + symerror: 65.704 + - label: fake + symerror: -0.60198 + - label: FlavorQCD + symerror: 296.18 + - label: Fragmentation + symerror: 23.482 + - label: JER + symerror: -115.77 + - label: miss + symerror: 7.2831 + - label: PileUpDataMC + symerror: 64.23 + - label: PileUpPtBB + symerror: 15.809 + - label: PileUpPtEC1 + symerror: 0.32506 + - label: PileUpPtEC2 + symerror: 0.011943 + - label: PileUpPtRef + symerror: 16.623 + - label: Pref + symerror: -20.992 + - label: PU + symerror: -5.4415 + - label: RelativeBal + symerror: 14.601 + - label: RelativeFSR + symerror: -28.2 + - label: RelativeJEREC1 + symerror: 2.4306 + - label: RelativeJEREC2 + 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symerror: -0.20613 + - label: TimePtEta + symerror: 12.41 + - label: Lumi + symerror: 6.8187 + - label: model + symerror: 1.35 + value: 568.22 + - errors: + - label: all uncorr. unc. 2 + symerror: 0.89597 + - label: AbsoluteMPFBias + symerror: 2.2403 + - label: AbsoluteScale + symerror: 1.3443 + - label: fake + symerror: 0.0016003 + - label: FlavorQCD + symerror: 3.8443 + - label: Fragmentation + symerror: 0.055363 + - label: JER + symerror: -1.3724 + - label: miss + symerror: 0.07175 + - label: PileUpDataMC + symerror: 0.55615 + - label: PileUpPtBB + symerror: 0.14976 + - label: PileUpPtEC1 + symerror: 0.0016226 + - label: PileUpPtEC2 + symerror: 2.0327e-05 + - label: PileUpPtRef + symerror: 0.13855 + - label: Pref + symerror: -1.0936 + - label: PU + symerror: -0.038642 + - label: RelativeBal + symerror: 0.31497 + - label: RelativeFSR + symerror: -0.43794 + - label: RelativeJEREC1 + symerror: -0.012134 + - label: RelativeJEREC2 + symerror: -0.0011419 + - label: RelativePtBB + 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label: SinglePionECAL + symerror: 5.0847e-08 + - label: SinglePionHCAL + symerror: 3.5562e-08 + - label: TimePtEta + symerror: 3.1544e-07 + - label: Lumi + symerror: 6.6029e-08 + - label: model + symerror: -8.4759e-08 + value: 5.5024e-06 +independent_variables: +- header: + name: Jet p_{T} + units: GeV + values: + - high: 133.0 + low: 97.0 + - high: 174.0 + low: 133.0 + - high: 220.0 + low: 174.0 + - high: 272.0 + low: 220.0 + - high: 330.0 + low: 272.0 + - high: 395.0 + low: 330.0 + - high: 468.0 + low: 395.0 + - high: 548.0 + low: 468.0 + - high: 638.0 + low: 548.0 + - high: 737.0 + low: 638.0 + - high: 846.0 + low: 737.0 + - high: 967.0 + low: 846.0 + - high: 1101.0 + low: 967.0 + - high: 1248.0 + low: 1101.0 + - high: 1410.0 + low: 1248.0 + - high: 1588.0 + low: 1410.0 + - high: 1784.0 + low: 1588.0 + - high: 2000.0 + low: 1784.0 + - high: 2238.0 + low: 2000.0 + - high: 2500.0 + low: 2238.0 + - high: 2787.0 + low: 2500.0 diff --git a/buildmaster/CMS_1JET_13TEV_DIF/rawdata/ak4_xsec_ybin3.yaml b/buildmaster/CMS_1JET_13TEV_DIF/rawdata/ak4_xsec_ybin3.yaml new file mode 100644 index 0000000000..59f5ac22aa --- /dev/null +++ b/buildmaster/CMS_1JET_13TEV_DIF/rawdata/ak4_xsec_ybin3.yaml @@ -0,0 +1,1226 @@ +dependent_variables: +- header: + name: '#sigma' + units: pb/GeV + values: + - errors: + - label: all uncorr. unc. 3 + symerror: 45.355 + - label: AbsoluteMPFBias + symerror: 95.815 + - label: AbsoluteScale + symerror: 53.627 + - label: fake + symerror: -0.93109 + - label: FlavorQCD + symerror: 270.87 + - label: Fragmentation + symerror: 22.511 + - label: JER + symerror: -206.94 + - label: miss + symerror: 7.9369 + - label: PileUpDataMC + symerror: 46.593 + - label: PileUpPtBB + symerror: 29.878 + - label: PileUpPtEC1 + symerror: 11.905 + - label: PileUpPtEC2 + symerror: -0.02466 + - label: PileUpPtRef + symerror: 16.519 + - label: Pref + symerror: -19.471 + - label: PU + symerror: -3.1584 + - label: RelativeBal + 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low: 1588.0 + - high: 2000.0 + low: 1784.0 + - high: 2238.0 + low: 2000.0 diff --git a/buildmaster/CMS_1JET_13TEV_DIF/rawdata/ak4_xsec_ybin4.yaml b/buildmaster/CMS_1JET_13TEV_DIF/rawdata/ak4_xsec_ybin4.yaml new file mode 100644 index 0000000000..376f16651c --- /dev/null +++ b/buildmaster/CMS_1JET_13TEV_DIF/rawdata/ak4_xsec_ybin4.yaml @@ -0,0 +1,1034 @@ +dependent_variables: +- header: + name: '#sigma' + units: pb/GeV + values: + - errors: + - label: all uncorr. unc. 4 + symerror: 37.907 + - label: AbsoluteMPFBias + symerror: 81.279 + - label: AbsoluteScale + symerror: 48.536 + - label: fake + symerror: -1.0574 + - label: FlavorQCD + symerror: 224.46 + - label: Fragmentation + symerror: 21.135 + - label: JER + symerror: -173.99 + - label: miss + symerror: 7.5011 + - label: PileUpDataMC + symerror: 34.363 + - label: PileUpPtBB + symerror: -3.3362 + - label: PileUpPtEC1 + symerror: 31.192 + - label: PileUpPtEC2 + symerror: -0.23154 + - label: PileUpPtRef + symerror: 14.113 + - label: Pref 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high: 2238.0 + low: 2000.0 + - high: 2500.0 + low: 2238.0 + - high: 2787.0 + low: 2500.0 + - high: 3103.0 + low: 2787.0 diff --git a/buildmaster/CMS_1JET_13TEV_DIF/rawdata/ak7_ew_ybin2.yaml b/buildmaster/CMS_1JET_13TEV_DIF/rawdata/ak7_ew_ybin2.yaml new file mode 100644 index 0000000000..75b05c7dfc --- /dev/null +++ b/buildmaster/CMS_1JET_13TEV_DIF/rawdata/ak7_ew_ybin2.yaml @@ -0,0 +1,72 @@ +dependent_variables: +- header: + name: EW + values: + - value: 1.1356 + - value: 1.0862 + - value: 1.0578 + - value: 1.0399 + - value: 1.028 + - value: 1.0197 + - value: 1.0137 + - value: 1.0093 + - value: 1.006 + - value: 1.0034 + - value: 1.0014 + - value: 0.99981 + - value: 0.99854 + - value: 0.9975 + - value: 0.99666 + - value: 0.99597 + - value: 0.9954 + - value: 0.99492 + - value: 0.99452 + - value: 0.99418 + - value: 0.99389 +independent_variables: +- header: + name: Jet p_{T} + units: GeV + values: + - high: 133.0 + low: 97.0 + - high: 174.0 + low: 133.0 + - high: 220.0 + low: 174.0 + - 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index 0000000000..490de876b5 --- /dev/null +++ b/buildmaster/CMS_1JET_13TEV_DIF/rawdata/ak7_ew_ybin4.yaml @@ -0,0 +1,57 @@ +dependent_variables: +- header: + name: EW + values: + - value: 1.1267 + - value: 1.0822 + - value: 1.057 + - value: 1.0414 + - value: 1.0312 + - value: 1.0242 + - value: 1.0192 + - value: 1.0156 + - value: 1.0129 + - value: 1.0108 + - value: 1.0092 + - value: 1.008 + - value: 1.007 + - value: 1.0062 + - value: 1.0055 + - value: 1.005 +independent_variables: +- header: + name: Jet p_{T} + units: GeV + values: + - high: 133.0 + low: 97.0 + - high: 174.0 + low: 133.0 + - high: 220.0 + low: 174.0 + - high: 272.0 + low: 220.0 + - high: 330.0 + low: 272.0 + - high: 395.0 + low: 330.0 + - high: 468.0 + low: 395.0 + - high: 548.0 + low: 468.0 + - high: 638.0 + low: 548.0 + - high: 737.0 + low: 638.0 + - high: 846.0 + low: 737.0 + - high: 967.0 + low: 846.0 + - high: 1101.0 + low: 967.0 + - high: 1248.0 + low: 1101.0 + - high: 1410.0 + low: 1248.0 + - high: 1588.0 + low: 1410.0 diff --git a/buildmaster/CMS_1JET_13TEV_DIF/rawdata/ak7_np_ybin1.yaml b/buildmaster/CMS_1JET_13TEV_DIF/rawdata/ak7_np_ybin1.yaml new file mode 100644 index 0000000000..2cb7112160 --- /dev/null +++ b/buildmaster/CMS_1JET_13TEV_DIF/rawdata/ak7_np_ybin1.yaml @@ -0,0 +1,141 @@ +dependent_variables: +- header: + name: NP + values: + - errors: + - label: syst. unc. + symerror: 0.023431 + value: 1.1332 + - errors: + - label: syst. unc. + symerror: 0.02171 + value: 1.0838 + - errors: + - label: syst. unc. + symerror: 0.018901 + value: 1.0554 + - errors: + - label: syst. unc. + symerror: 0.016161 + value: 1.0375 + - errors: + - label: syst. unc. + symerror: 0.013761 + value: 1.0257 + - errors: + - label: syst. unc. + symerror: 0.011734 + value: 1.0174 + - errors: + - label: syst. unc. + symerror: 0.010034 + value: 1.0115 + - errors: + - label: syst. unc. + symerror: 0.0086236 + value: 1.0071 + - errors: + - label: syst. unc. + symerror: 0.0074479 + value: 1.0038 + - errors: + - label: syst. unc. + symerror: 0.0064608 + value: 1.0012 + - errors: + - label: syst. unc. + symerror: 0.0056361 + value: 0.9992 + - errors: + - label: syst. unc. + symerror: 0.0049395 + value: 0.99762 + - errors: + - label: syst. unc. + symerror: 0.0043464 + value: 0.99634 + - errors: + - label: syst. unc. + symerror: 0.003842 + value: 0.99531 + - errors: + - label: syst. unc. + symerror: 0.0034118 + value: 0.99447 + - errors: + - label: syst. unc. + symerror: 0.0030429 + value: 0.99377 + - errors: + - label: syst. unc. + symerror: 0.0027253 + value: 0.9932 + - errors: + - label: syst. unc. + symerror: 0.0024506 + value: 0.99271 + - errors: + - label: syst. unc. + symerror: 0.0022121 + value: 0.99231 + - errors: + - label: syst. unc. + symerror: 0.0020047 + value: 0.99197 + - errors: + - label: syst. unc. + symerror: 0.0018244 + value: 0.99167 + - errors: + - label: syst. unc. + symerror: 0.0016671 + value: 0.99143 +independent_variables: +- header: + name: Jet p_{T} + units: GeV + values: + 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label: syst. unc. + symerror: 0.019579 + value: 1.1356 + - errors: + - label: syst. unc. + symerror: 0.018372 + value: 1.0862 + - errors: + - label: syst. unc. + symerror: 0.016057 + value: 1.0578 + - errors: + - label: syst. unc. + symerror: 0.013728 + value: 1.0399 + - errors: + - label: syst. unc. + symerror: 0.011659 + value: 1.028 + - errors: + - label: syst. unc. + symerror: 0.0098971 + value: 1.0197 + - errors: + - label: syst. unc. + symerror: 0.0084099 + value: 1.0137 + - errors: + - label: syst. unc. + symerror: 0.0071703 + value: 1.0093 + - errors: + - label: syst. unc. + symerror: 0.0061335 + value: 1.006 + - errors: + - label: syst. unc. + symerror: 0.0052605 + value: 1.0034 + - errors: + - label: syst. unc. + symerror: 0.0045294 + value: 1.0014 + - errors: + - label: syst. unc. + symerror: 0.0039105 + value: 0.99981 + - errors: + - label: syst. unc. + symerror: 0.0033827 + value: 0.99854 + - errors: + - label: syst. unc. + symerror: 0.0029331 + value: 0.9975 + - errors: + 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low: 1248.0 + - high: 1588.0 + low: 1410.0 + - high: 1784.0 + low: 1588.0 + - high: 2000.0 + low: 1784.0 + - high: 2238.0 + low: 2000.0 + - high: 2500.0 + low: 2238.0 + - high: 2787.0 + low: 2500.0 diff --git a/buildmaster/CMS_1JET_13TEV_DIF/rawdata/ak7_np_ybin3.yaml b/buildmaster/CMS_1JET_13TEV_DIF/rawdata/ak7_np_ybin3.yaml new file mode 100644 index 0000000000..6afd35f98f --- /dev/null +++ b/buildmaster/CMS_1JET_13TEV_DIF/rawdata/ak7_np_ybin3.yaml @@ -0,0 +1,123 @@ +dependent_variables: +- header: + name: NP + values: + - errors: + - label: syst. unc. + symerror: 0.014407 + value: 1.1357 + - errors: + - label: syst. unc. + symerror: 0.013926 + value: 1.0875 + - errors: + - label: syst. unc. + symerror: 0.012287 + value: 1.0598 + - errors: + - label: syst. unc. + symerror: 0.010521 + value: 1.0424 + - errors: + - label: syst. unc. + symerror: 0.0089108 + value: 1.0309 + - errors: + - label: syst. unc. + symerror: 0.0075208 + value: 1.0229 + - errors: + - label: syst. unc. + symerror: 0.0063378 + value: 1.0171 + - errors: + - label: syst. unc. + symerror: 0.0053465 + value: 1.0129 + - errors: + - label: syst. unc. + symerror: 0.0045144 + value: 1.0097 + - errors: + - label: syst. unc. + symerror: 0.0038119 + value: 1.0072 + - errors: + - label: syst. unc. + symerror: 0.0032227 + value: 1.0053 + - errors: + - label: syst. unc. + symerror: 0.0027233 + value: 1.0038 + - errors: + - label: syst. unc. + symerror: 0.002297 + value: 1.0026 + - errors: + - label: syst. unc. + symerror: 0.0019338 + value: 1.0017 + - errors: + - label: syst. unc. + symerror: 0.0016235 + value: 1.0009 + - errors: + - label: syst. unc. + symerror: 0.0013571 + value: 1.0002 + - errors: + - label: syst. unc. + symerror: 0.0011276 + value: 0.99968 + - errors: + - label: syst. unc. + symerror: 0.00092891 + value: 0.99924 + - errors: + - label: syst. unc. + symerror: 0.00075637 + value: 0.99886 +independent_variables: +- header: + name: Jet p_{T} + units: GeV + values: + - high: 133.0 + low: 97.0 + - high: 174.0 + low: 133.0 + - high: 220.0 + low: 174.0 + - high: 272.0 + low: 220.0 + - high: 330.0 + low: 272.0 + - high: 395.0 + low: 330.0 + - high: 468.0 + low: 395.0 + - high: 548.0 + low: 468.0 + - high: 638.0 + low: 548.0 + - high: 737.0 + low: 638.0 + - high: 846.0 + low: 737.0 + - high: 967.0 + low: 846.0 + - high: 1101.0 + low: 967.0 + - high: 1248.0 + low: 1101.0 + - high: 1410.0 + low: 1248.0 + - high: 1588.0 + low: 1410.0 + - high: 1784.0 + low: 1588.0 + - high: 2000.0 + low: 1784.0 + - high: 2238.0 + low: 2000.0 diff --git a/buildmaster/CMS_1JET_13TEV_DIF/rawdata/ak7_np_ybin4.yaml b/buildmaster/CMS_1JET_13TEV_DIF/rawdata/ak7_np_ybin4.yaml new file mode 100644 index 0000000000..afc3894cc2 --- /dev/null +++ b/buildmaster/CMS_1JET_13TEV_DIF/rawdata/ak7_np_ybin4.yaml @@ -0,0 +1,105 @@ +dependent_variables: +- header: + name: NP + values: + - errors: + - label: syst. unc. + symerror: 0.017501 + value: 1.1267 + - errors: + - label: syst. unc. + symerror: 0.015239 + value: 1.0822 + - errors: + - label: syst. unc. + symerror: 0.012651 + value: 1.057 + - errors: + - label: syst. unc. + symerror: 0.010358 + value: 1.0414 + - errors: + - label: syst. unc. + symerror: 0.0084493 + value: 1.0312 + - errors: + - label: syst. unc. + symerror: 0.0068916 + value: 1.0242 + - errors: + - label: syst. unc. + symerror: 0.005618 + value: 1.0192 + - errors: + - label: syst. unc. + symerror: 0.0045833 + value: 1.0156 + - errors: + - label: syst. unc. + symerror: 0.0037363 + value: 1.0129 + - errors: + - label: syst. unc. + symerror: 0.0030365 + value: 1.0108 + - errors: + - label: syst. unc. + symerror: 0.0024603 + value: 1.0092 + - errors: + - label: syst. unc. + symerror: 0.00198 + value: 1.008 + - errors: + - label: syst. unc. + symerror: 0.0015762 + value: 1.007 + - errors: + - label: syst. unc. + symerror: 0.0012368 + value: 1.0062 + - errors: + - label: syst. unc. + symerror: 0.00095062 + value: 1.0055 + - errors: + - label: syst. unc. + symerror: 0.00070783 + value: 1.005 +independent_variables: +- header: + name: Jet p_{T} + units: GeV + values: + - high: 133.0 + low: 97.0 + - high: 174.0 + low: 133.0 + - high: 220.0 + low: 174.0 + - high: 272.0 + low: 220.0 + - high: 330.0 + low: 272.0 + - high: 395.0 + low: 330.0 + - high: 468.0 + low: 395.0 + - high: 548.0 + low: 468.0 + - high: 638.0 + low: 548.0 + - high: 737.0 + low: 638.0 + - high: 846.0 + low: 737.0 + - high: 967.0 + low: 846.0 + - high: 1101.0 + low: 967.0 + - high: 1248.0 + low: 1101.0 + - high: 1410.0 + low: 1248.0 + - high: 1588.0 + low: 1410.0 diff --git a/buildmaster/CMS_1JET_13TEV_DIF/rawdata/ak7_xsec_ybin1.yaml b/buildmaster/CMS_1JET_13TEV_DIF/rawdata/ak7_xsec_ybin1.yaml new file mode 100644 index 0000000000..656c3f1cf2 --- /dev/null +++ b/buildmaster/CMS_1JET_13TEV_DIF/rawdata/ak7_xsec_ybin1.yaml @@ -0,0 +1,1418 @@ +dependent_variables: +- header: + name: '#sigma' + units: pb/GeV + values: + - errors: + - label: all uncorr. unc. 1 + symerror: 67.926 + - label: 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label: fake + symerror: -5.5898e-10 + - label: FlavorQCD + symerror: -9.5637e-08 + - label: Fragmentation + symerror: -3.1892e-08 + - label: JER + symerror: -3.6849e-08 + - label: miss + symerror: 1.0062e-08 + - label: PileUpDataMC + symerror: -9.5514e-09 + - label: PileUpPtBB + symerror: -1.9313e-08 + - label: PileUpPtEC1 + symerror: 2.8494e-10 + - label: PileUpPtEC2 + symerror: -2.7706e-12 + - label: PileUpPtRef + symerror: 2.007e-08 + - label: Pref + symerror: 1.7347e-09 + - label: PU + symerror: -3.4009e-09 + - label: RelativeBal + symerror: 1.1718e-07 + - label: RelativeFSR + symerror: 2.0305e-07 + - label: RelativeJEREC1 + symerror: 1.6483e-09 + - label: RelativeJEREC2 + symerror: 5.0364e-10 + - label: RelativePtBB + symerror: 6.0451e-08 + - label: RelativePtEC1 + symerror: 3.69e-11 + - label: RelativePtEC2 + symerror: -1.9532e-12 + - label: RelativeSample + symerror: -7.4847e-08 + - label: RelativeStatEC + symerror: 1.3297e-09 + - label: RelativeStatFSR + symerror: 7.9122e-09 + - label: SinglePionECAL + symerror: 3.7874e-08 + - label: SinglePionHCAL + symerror: 2.9412e-08 + - label: TimePtEta + symerror: 2.1036e-07 + - label: Lumi + symerror: 5.5209e-08 + - label: model + symerror: 1.2165e-08 + value: 4.6008e-06 +independent_variables: +- header: + name: Jet p_{T} + units: GeV + values: + - high: 133.0 + low: 97.0 + - high: 174.0 + low: 133.0 + - high: 220.0 + low: 174.0 + - high: 272.0 + low: 220.0 + - high: 330.0 + low: 272.0 + - high: 395.0 + low: 330.0 + - high: 468.0 + low: 395.0 + - high: 548.0 + low: 468.0 + - high: 638.0 + low: 548.0 + - high: 737.0 + low: 638.0 + - high: 846.0 + low: 737.0 + - high: 967.0 + low: 846.0 + - high: 1101.0 + low: 967.0 + - high: 1248.0 + low: 1101.0 + - high: 1410.0 + low: 1248.0 + - high: 1588.0 + low: 1410.0 + - high: 1784.0 + low: 1588.0 + - high: 2000.0 + low: 1784.0 + - high: 2238.0 + low: 2000.0 + - high: 2500.0 + low: 2238.0 + - high: 2787.0 + low: 2500.0 + - high: 3103.0 + low: 2787.0 diff --git a/buildmaster/CMS_1JET_13TEV_DIF/rawdata/ak7_xsec_ybin2.yaml b/buildmaster/CMS_1JET_13TEV_DIF/rawdata/ak7_xsec_ybin2.yaml new file mode 100644 index 0000000000..152c18eb7b --- /dev/null +++ b/buildmaster/CMS_1JET_13TEV_DIF/rawdata/ak7_xsec_ybin2.yaml @@ -0,0 +1,1354 @@ +dependent_variables: +- header: + name: '#sigma' + units: pb/GeV + values: + - errors: + - label: all uncorr. unc. 2 + symerror: 68.223 + - label: AbsoluteMPFBias + symerror: 159.87 + - label: AbsoluteScale + symerror: 102.4 + - label: fake + symerror: -0.84505 + - label: FlavorQCD + symerror: 453.81 + - label: Fragmentation + symerror: 32.634 + - label: JER + symerror: -199.56 + - label: miss + symerror: 12.844 + - label: PileUpDataMC + symerror: 90.386 + - label: PileUpPtBB + symerror: 22.979 + - label: PileUpPtEC1 + symerror: 0.19563 + - label: PileUpPtEC2 + symerror: 0.020305 + - label: PileUpPtRef + symerror: 28.148 + - label: Pref + symerror: -40.814 + - label: PU + symerror: -27.814 + - label: RelativeBal + 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PileUpDataMC + symerror: 15.441 + - label: PileUpPtBB + symerror: 4.2714 + - label: PileUpPtEC1 + symerror: 0.017487 + - label: PileUpPtEC2 + symerror: 0.0026237 + - label: PileUpPtRef + symerror: 4.4757 + - label: Pref + symerror: -13.476 + - label: PU + symerror: -3.4823 + - label: RelativeBal + symerror: 4.1832 + - label: RelativeFSR + symerror: -7.9422 + - label: RelativeJEREC1 + symerror: -0.18903 + - label: RelativeJEREC2 + symerror: 0.044404 + - label: RelativePtBB + symerror: -2.0232 + - label: RelativePtEC1 + symerror: -0.0039199 + - label: RelativePtEC2 + symerror: 0.0025417 + - label: RelativeSample + symerror: 15.35 + - label: RelativeStatEC + symerror: 0.044857 + - label: RelativeStatFSR + symerror: 2.7901 + - label: SinglePionECAL + symerror: -5.5986 + - label: SinglePionHCAL + symerror: -1.8589 + - label: TimePtEta + symerror: 69.281 + - label: Lumi + symerror: 37.177 + - label: model + symerror: 8.5486 + value: 3098.1 + - errors: + - label: all uncorr. unc. 2 + 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+ - high: 2500.0 + low: 2238.0 + - high: 2787.0 + low: 2500.0 diff --git a/buildmaster/CMS_1JET_13TEV_DIF/rawdata/ak7_xsec_ybin3.yaml b/buildmaster/CMS_1JET_13TEV_DIF/rawdata/ak7_xsec_ybin3.yaml new file mode 100644 index 0000000000..8d45aea35e --- /dev/null +++ b/buildmaster/CMS_1JET_13TEV_DIF/rawdata/ak7_xsec_ybin3.yaml @@ -0,0 +1,1226 @@ +dependent_variables: +- header: + name: '#sigma' + units: pb/GeV + values: + - errors: + - label: all uncorr. unc. 3 + symerror: 68.891 + - label: AbsoluteMPFBias + symerror: 141.23 + - label: AbsoluteScale + symerror: 86.471 + - label: fake + symerror: -1.5685 + - label: FlavorQCD + symerror: 415.59 + - label: Fragmentation + symerror: 28.603 + - label: JER + symerror: -312.92 + - label: miss + symerror: 14.641 + - label: PileUpDataMC + symerror: 69.646 + - label: PileUpPtBB + symerror: 35.505 + - label: PileUpPtEC1 + symerror: 16.582 + - label: PileUpPtEC2 + symerror: -0.086065 + - label: PileUpPtRef + symerror: 22.867 + - label: Pref + symerror: 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high: 1784.0 + low: 1588.0 + - high: 2000.0 + low: 1784.0 + - high: 2238.0 + low: 2000.0 diff --git a/buildmaster/CMS_1JET_13TEV_DIF/rawdata/ak7_xsec_ybin4.yaml b/buildmaster/CMS_1JET_13TEV_DIF/rawdata/ak7_xsec_ybin4.yaml new file mode 100644 index 0000000000..8b0fbe7780 --- /dev/null +++ b/buildmaster/CMS_1JET_13TEV_DIF/rawdata/ak7_xsec_ybin4.yaml @@ -0,0 +1,1034 @@ +dependent_variables: +- header: + name: '#sigma' + units: pb/GeV + values: + - errors: + - label: all uncorr. unc. 4 + symerror: 56.896 + - label: AbsoluteMPFBias + symerror: 125.27 + - label: AbsoluteScale + symerror: 77.644 + - label: fake + symerror: -1.814 + - label: FlavorQCD + symerror: 346.23 + - label: Fragmentation + symerror: 24.932 + - label: JER + symerror: -262.03 + - label: miss + symerror: 13.206 + - label: PileUpDataMC + symerror: 45.14 + - label: PileUpPtBB + symerror: -2.2016 + - label: PileUpPtEC1 + symerror: 39.172 + - label: PileUpPtEC2 + symerror: -0.33392 + - label: PileUpPtRef + symerror: 21.035 + 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symerror: -5.7992e-07 + - label: RelativePtEC1 + symerror: 3.8681e-06 + - label: RelativePtEC2 + symerror: -1.387e-09 + - label: RelativeSample + symerror: -7.2228e-05 + - label: RelativeStatEC + symerror: 3.7993e-05 + - label: RelativeStatFSR + symerror: 4.3184e-06 + - label: SinglePionECAL + symerror: 1.1752e-05 + - label: SinglePionHCAL + symerror: 7.2706e-06 + - label: TimePtEta + symerror: 6.5984e-05 + - label: Lumi + symerror: 1.6106e-05 + - label: model + symerror: 3.7944e-05 + value: 0.0013422 + - errors: + - label: all uncorr. unc. 4 + symerror: 1.2501e-05 + - label: AbsoluteMPFBias + symerror: 9.0955e-06 + - label: AbsoluteScale + symerror: 5.5622e-06 + - label: fake + symerror: -2.259e-08 + - label: FlavorQCD + symerror: -3.2736e-06 + - label: Fragmentation + symerror: -2.7957e-06 + - label: JER + symerror: -6.3366e-06 + - label: miss + symerror: 4.2538e-07 + - label: PileUpDataMC + symerror: -1.3885e-07 + - label: PileUpPtBB + symerror: -5.2713e-08 + - label: PileUpPtEC1 + symerror: 2.0636e-06 + - label: PileUpPtEC2 + symerror: -3.8426e-09 + - label: PileUpPtRef + symerror: 9.3791e-08 + - label: Pref + symerror: -5.9228e-07 + - label: PU + symerror: 8.8508e-07 + - label: RelativeBal + symerror: 2.8225e-06 + - label: RelativeFSR + symerror: 1.9572e-05 + - label: RelativeJEREC1 + symerror: 1.9391e-06 + - label: RelativeJEREC2 + symerror: -1.0228e-07 + - label: RelativePtBB + symerror: -1.6096e-07 + - label: RelativePtEC1 + symerror: 1.009e-06 + - label: RelativePtEC2 + symerror: -1.8568e-10 + - label: RelativeSample + symerror: -1.7539e-05 + - label: RelativeStatEC + symerror: 8.4515e-06 + - label: RelativeStatFSR + symerror: 8.8896e-07 + - label: SinglePionECAL + symerror: 2.7788e-06 + - label: SinglePionHCAL + symerror: 1.8251e-06 + - label: TimePtEta + symerror: 1.4219e-05 + - label: Lumi + symerror: 3.1552e-06 + - label: model + symerror: 1.3107e-05 + value: 0.00026293 + - errors: + - label: all uncorr. unc. 4 + symerror: 5.1362e-06 + - label: AbsoluteMPFBias + symerror: 2.0089e-06 + - label: AbsoluteScale + symerror: 1.2346e-06 + - label: fake + symerror: -8.0529e-09 + - label: FlavorQCD + symerror: -9.977e-07 + - label: Fragmentation + symerror: -6.6886e-07 + - label: JER + symerror: -1.4309e-06 + - label: miss + symerror: 9.5684e-08 + - label: PileUpDataMC + symerror: -7.3533e-08 + - label: PileUpPtBB + symerror: -1.7058e-08 + - label: PileUpPtEC1 + symerror: 5.8837e-07 + - label: PileUpPtEC2 + symerror: -1.4165e-09 + - label: PileUpPtRef + symerror: 4.6146e-08 + - label: Pref + symerror: -1.6219e-07 + - label: PU + symerror: 1.6899e-07 + - label: RelativeBal + symerror: 6.2305e-07 + - label: RelativeFSR + symerror: 4.5076e-06 + - label: RelativeJEREC1 + symerror: 3.6561e-07 + - label: RelativeJEREC2 + symerror: -3.6607e-08 + - label: RelativePtBB + symerror: -4.2266e-08 + - label: RelativePtEC1 + symerror: 2.5458e-07 + - label: RelativePtEC2 + symerror: -6.6792e-11 + - label: RelativeSample + symerror: -4.1593e-06 + - label: RelativeStatEC + symerror: 1.83e-06 + - label: RelativeStatFSR + symerror: 1.8262e-07 + - label: SinglePionECAL + symerror: 6.3839e-07 + - label: SinglePionHCAL + symerror: 4.4376e-07 + - label: TimePtEta + symerror: 3.0068e-06 + - label: Lumi + symerror: 6.0328e-07 + - label: model + symerror: 4.2533e-06 + value: 5.0274e-05 +independent_variables: +- header: + name: Jet p_{T} + units: GeV + values: + - high: 133.0 + low: 97.0 + - high: 174.0 + low: 133.0 + - high: 220.0 + low: 174.0 + - high: 272.0 + low: 220.0 + - high: 330.0 + low: 272.0 + - high: 395.0 + low: 330.0 + - high: 468.0 + low: 395.0 + - high: 548.0 + low: 468.0 + - high: 638.0 + low: 548.0 + - high: 737.0 + low: 638.0 + - high: 846.0 + low: 737.0 + - high: 967.0 + low: 846.0 + - high: 1101.0 + low: 967.0 + - high: 1248.0 + low: 1101.0 + - high: 1410.0 + low: 1248.0 + - high: 1588.0 + low: 1410.0 diff --git a/buildmaster/CMS_1JET_13TEV_DIF/rawdata/submission.yaml b/buildmaster/CMS_1JET_13TEV_DIF/rawdata/submission.yaml new file mode 100644 index 0000000000..6414670650 --- /dev/null +++ b/buildmaster/CMS_1JET_13TEV_DIF/rawdata/submission.yaml @@ -0,0 +1,615 @@ +--- +comment: '' +data_license: + description: The content can be shared and adapted but you must give + appropriate credit and cannot restrict access to others. + name: cc-by-4.0 + url: https://creativecommons.org/licenses/by/4.0/ +--- +data_file: ak4_xsec_ybin1.yaml +description: The inclusive jet production cross section as a function of the jet transverse + momentum~$p_\mathrm{T}$ measured in $|y| < 0.5$ for jets clustered using the anti-$k_\mathrm{t}$ + algorithm with $R=0.4$. +keywords: +- name: observables + values: + - sigma +location: Figs. 6 (up) and 7 +name: ak4_xsec_ybin1 +--- +data_file: ak4_xsec_ybin2.yaml +description: The inclusive jet production cross section as a function of the jet transverse + momentum~$p_\mathrm{T}$ measured in $0.5 < |y| < 1.0$ for jets clustered using the + anti-$k_\mathrm{t}$ algorithm with $R=0.4$. +keywords: +- name: observables + values: + - sigma +location: Figs. 6 (up) and 7 +name: ak4_xsec_ybin2 +--- +data_file: ak4_xsec_ybin3.yaml +description: The inclusive jet production cross section as a function of the jet transverse + momentum~$p_\mathrm{T}$ measured in $1.0 < |y| < 1.5$ for jets clustered using the + anti-$k_\mathrm{t}$ algorithm with $R=0.4$. +keywords: +- name: observables + values: + - sigma +location: Figs. 6 (up) and 7 +name: ak4_xsec_ybin3 +--- +data_file: ak4_xsec_ybin4.yaml +description: The inclusive jet production cross section as a function of the jet transverse + momentum~$p_\mathrm{T}$ measured in $1.5 < |y| < 2.0$ for jets clustered using the + anti-$k_\mathrm{t}$ algorithm with $R=0.4$. +keywords: +- name: observables + values: + - sigma +location: Figs. 6 (up) and 7 +name: ak4_xsec_ybin4 +--- +data_file: ak4_correlations_y1_y1.yaml +description: The correlation matrix at the particle level of inclusive jet production + cross section as a function of the jet transverse momentum~$p_\mathrm{T}$ for jets + in $|y| < 0.5$ clustered using the anti-$k_\mathrm{t}$ algorithm with $R=0.4$. It + contains contributions from the data and from the \textsc{PYTHIA}~8 sample used + to perform the unfolding. +keywords: +- name: observables + values: + - correlations +location: Analog to Fig. 2 for AK4 jets +name: ak4_correlations_y1_y1 +--- +data_file: ak4_correlations_y1_y2.yaml +description: The correlation matrix at the particle level of inclusive jet production + cross section as a function of the jet transverse momentum~$p_\mathrm{T}$ for jets + in $|y| < 0.5$and $0.5 < |y| < 1.0$ clustered using the anti-$k_\mathrm{t}$ algorithm + with $R=0.4$. It contains contributions from the data and from the \textsc{PYTHIA}~8 + sample used to perform the unfolding. +keywords: +- name: observables + values: + - correlations +location: Analog to Fig. 2 for AK4 jets +name: ak4_correlations_y1_y2 +--- +data_file: ak4_correlations_y1_y3.yaml +description: The correlation matrix at the particle level of inclusive jet production + cross section as a function of the jet transverse momentum~$p_\mathrm{T}$ for jets + in $|y| < 0.5$and $1.0 < |y| < 1.5$ clustered using the anti-$k_\mathrm{t}$ algorithm + with $R=0.4$. It contains contributions from the data and from the \textsc{PYTHIA}~8 + sample used to perform the unfolding. +keywords: +- name: observables + values: + - correlations +location: Analog to Fig. 2 for AK4 jets +name: ak4_correlations_y1_y3 +--- +data_file: ak4_correlations_y1_y4.yaml +description: The correlation matrix at the particle level of inclusive jet production + cross section as a function of the jet transverse momentum~$p_\mathrm{T}$ for jets + in $|y| < 0.5$and $1.5 < |y| < 2.0$ clustered using the anti-$k_\mathrm{t}$ algorithm + with $R=0.4$. It contains contributions from the data and from the \textsc{PYTHIA}~8 + sample used to perform the unfolding. +keywords: +- name: observables + values: + - correlations +location: Analog to Fig. 2 for AK4 jets +name: ak4_correlations_y1_y4 +--- +data_file: ak4_correlations_y2_y1.yaml +description: The correlation matrix at the particle level of inclusive jet production + cross section as a function of the jet transverse momentum~$p_\mathrm{T}$ for jets + in $0.5 < |y| < 1.0$and $|y| < 0.5$ clustered using the anti-$k_\mathrm{t}$ algorithm + with $R=0.4$. It contains contributions from the data and from the \textsc{PYTHIA}~8 + sample used to perform the unfolding. +keywords: +- name: observables + values: + - correlations +location: Analog to Fig. 2 for AK4 jets +name: ak4_correlations_y2_y1 +--- +data_file: ak4_correlations_y2_y2.yaml +description: The correlation matrix at the particle level of inclusive jet production + cross section as a function of the jet transverse momentum~$p_\mathrm{T}$ for jets + in $0.5 < |y| < 1.0$ clustered using the anti-$k_\mathrm{t}$ algorithm with $R=0.4$. + It contains contributions from the data and from the \textsc{PYTHIA}~8 sample used + to perform the unfolding. +keywords: +- name: observables + values: + - correlations +location: Analog to Fig. 2 for AK4 jets +name: ak4_correlations_y2_y2 +--- +data_file: ak4_correlations_y2_y3.yaml +description: The correlation matrix at the particle level of inclusive jet production + cross section as a function of the jet transverse momentum~$p_\mathrm{T}$ for jets + in $0.5 < |y| < 1.0$and $1.0 < |y| < 1.5$ clustered using the anti-$k_\mathrm{t}$ + algorithm with $R=0.4$. It contains contributions from the data and from the \textsc{PYTHIA}~8 + sample used to perform the unfolding. +keywords: +- name: observables + values: + - correlations +location: Analog to Fig. 2 for AK4 jets +name: ak4_correlations_y2_y3 +--- +data_file: ak4_correlations_y2_y4.yaml +description: The correlation matrix at the particle level of inclusive jet production + cross section as a function of the jet transverse momentum~$p_\mathrm{T}$ for jets + in $0.5 < |y| < 1.0$and $1.5 < |y| < 2.0$ clustered using the anti-$k_\mathrm{t}$ + algorithm with $R=0.4$. It contains contributions from the data and from the \textsc{PYTHIA}~8 + sample used to perform the unfolding. +keywords: +- name: observables + values: + - correlations +location: Analog to Fig. 2 for AK4 jets +name: ak4_correlations_y2_y4 +--- +data_file: ak4_correlations_y3_y1.yaml +description: The correlation matrix at the particle level of inclusive jet production + cross section as a function of the jet transverse momentum~$p_\mathrm{T}$ for jets + in $1.0 < |y| < 1.5$and $|y| < 0.5$ clustered using the anti-$k_\mathrm{t}$ algorithm + with $R=0.4$. It contains contributions from the data and from the \textsc{PYTHIA}~8 + sample used to perform the unfolding. +keywords: +- name: observables + values: + - correlations +location: Analog to Fig. 2 for AK4 jets +name: ak4_correlations_y3_y1 +--- +data_file: ak4_correlations_y3_y2.yaml +description: The correlation matrix at the particle level of inclusive jet production + cross section as a function of the jet transverse momentum~$p_\mathrm{T}$ for jets + in $1.0 < |y| < 1.5$and $0.5 < |y| < 1.0$ clustered using the anti-$k_\mathrm{t}$ + algorithm with $R=0.4$. It contains contributions from the data and from the \textsc{PYTHIA}~8 + sample used to perform the unfolding. +keywords: +- name: observables + values: + - correlations +location: Analog to Fig. 2 for AK4 jets +name: ak4_correlations_y3_y2 +--- +data_file: ak4_correlations_y3_y3.yaml +description: The correlation matrix at the particle level of inclusive jet production + cross section as a function of the jet transverse momentum~$p_\mathrm{T}$ for jets + in $1.0 < |y| < 1.5$ clustered using the anti-$k_\mathrm{t}$ algorithm with $R=0.4$. + It contains contributions from the data and from the \textsc{PYTHIA}~8 sample used + to perform the unfolding. +keywords: +- name: observables + values: + - correlations +location: Analog to Fig. 2 for AK4 jets +name: ak4_correlations_y3_y3 +--- +data_file: ak4_correlations_y3_y4.yaml +description: The correlation matrix at the particle level of inclusive jet production + cross section as a function of the jet transverse momentum~$p_\mathrm{T}$ for jets + in $1.0 < |y| < 1.5$and $1.5 < |y| < 2.0$ clustered using the anti-$k_\mathrm{t}$ + algorithm with $R=0.4$. It contains contributions from the data and from the \textsc{PYTHIA}~8 + sample used to perform the unfolding. +keywords: +- name: observables + values: + - correlations +location: Analog to Fig. 2 for AK4 jets +name: ak4_correlations_y3_y4 +--- +data_file: ak4_correlations_y4_y1.yaml +description: The correlation matrix at the particle level of inclusive jet production + cross section as a function of the jet transverse momentum~$p_\mathrm{T}$ for jets + in $1.5 < |y| < 2.0$and $|y| < 0.5$ clustered using the anti-$k_\mathrm{t}$ algorithm + with $R=0.4$. It contains contributions from the data and from the \textsc{PYTHIA}~8 + sample used to perform the unfolding. +keywords: +- name: observables + values: + - correlations +location: Analog to Fig. 2 for AK4 jets +name: ak4_correlations_y4_y1 +--- +data_file: ak4_correlations_y4_y2.yaml +description: The correlation matrix at the particle level of inclusive jet production + cross section as a function of the jet transverse momentum~$p_\mathrm{T}$ for jets + in $1.5 < |y| < 2.0$and $0.5 < |y| < 1.0$ clustered using the anti-$k_\mathrm{t}$ + algorithm with $R=0.4$. It contains contributions from the data and from the \textsc{PYTHIA}~8 + sample used to perform the unfolding. +keywords: +- name: observables + values: + - correlations +location: Analog to Fig. 2 for AK4 jets +name: ak4_correlations_y4_y2 +--- +data_file: ak4_correlations_y4_y3.yaml +description: The correlation matrix at the particle level of inclusive jet production + cross section as a function of the jet transverse momentum~$p_\mathrm{T}$ for jets + in $1.5 < |y| < 2.0$and $1.0 < |y| < 1.5$ clustered using the anti-$k_\mathrm{t}$ + algorithm with $R=0.4$. It contains contributions from the data and from the \textsc{PYTHIA}~8 + sample used to perform the unfolding. +keywords: +- name: observables + values: + - correlations +location: Analog to Fig. 2 for AK4 jets +name: ak4_correlations_y4_y3 +--- +data_file: ak4_correlations_y4_y4.yaml +description: The correlation matrix at the particle level of inclusive jet production + cross section as a function of the jet transverse momentum~$p_\mathrm{T}$ for jets + in $1.5 < |y| < 2.0$ clustered using the anti-$k_\mathrm{t}$ algorithm with $R=0.4$. + It contains contributions from the data and from the \textsc{PYTHIA}~8 sample used + to perform the unfolding. +keywords: +- name: observables + values: + - correlations +location: Analog to Fig. 2 for AK4 jets +name: ak4_correlations_y4_y4 +--- +data_file: ak7_xsec_ybin1.yaml +description: The inclusive jet production cross section as a function of the jet transverse + momentum~$p_\mathrm{T}$ measured in $|y| < 0.5$ for jets clustered using the anti-$k_\mathrm{t}$ + algorithm with $R=0.7$. +keywords: +- name: observables + values: + - sigma +location: Figs. 6 (down) and 8 +name: ak7_xsec_ybin1 +--- +data_file: ak7_xsec_ybin2.yaml +description: The inclusive jet production cross section as a function of the jet transverse + momentum~$p_\mathrm{T}$ measured in $0.5 < |y| < 1.0$ for jets clustered using the + anti-$k_\mathrm{t}$ algorithm with $R=0.7$. +keywords: +- name: observables + values: + - sigma +location: Figs. 6 (down) and 8 +name: ak7_xsec_ybin2 +--- +data_file: ak7_xsec_ybin3.yaml +description: The inclusive jet production cross section as a function of the jet transverse + momentum~$p_\mathrm{T}$ measured in $1.0 < |y| < 1.5$ for jets clustered using the + anti-$k_\mathrm{t}$ algorithm with $R=0.7$. +keywords: +- name: observables + values: + - sigma +location: Figs. 6 (down) and 8 +name: ak7_xsec_ybin3 +--- +data_file: ak7_xsec_ybin4.yaml +description: The inclusive jet production cross section as a function of the jet transverse + momentum~$p_\mathrm{T}$ measured in $1.5 < |y| < 2.0$ for jets clustered using the + anti-$k_\mathrm{t}$ algorithm with $R=0.7$. +keywords: +- name: observables + values: + - sigma +location: Figs. 6 (down) and 8 +name: ak7_xsec_ybin4 +--- +data_file: ak7_correlations_y1_y1.yaml +description: The correlation matrix at the particle level of inclusive jet production + cross section as a function of the jet transverse momentum~$p_\mathrm{T}$ for jets + in $|y| < 0.5$ clustered using the anti-$k_\mathrm{t}$ algorithm with $R=0.7$. It + contains contributions from the data and from the \textsc{PYTHIA}~8 sample used + to perform the unfolding. +keywords: +- name: observables + values: + - correlations +location: Fig. 2 +name: ak7_correlations_y1_y1 +--- +data_file: ak7_correlations_y1_y2.yaml +description: The correlation matrix at the particle level of inclusive jet production + cross section as a function of the jet transverse momentum~$p_\mathrm{T}$ for jets + in $|y| < 0.5$and $0.5 < |y| < 1.0$ clustered using the anti-$k_\mathrm{t}$ algorithm + with $R=0.7$. It contains contributions from the data and from the \textsc{PYTHIA}~8 + sample used to perform the unfolding. +keywords: +- name: observables + values: + - correlations +location: Fig. 2 +name: ak7_correlations_y1_y2 +--- +data_file: ak7_correlations_y1_y3.yaml +description: The correlation matrix at the particle level of inclusive jet production + cross section as a function of the jet transverse momentum~$p_\mathrm{T}$ for jets + in $|y| < 0.5$and $1.0 < |y| < 1.5$ clustered using the anti-$k_\mathrm{t}$ algorithm + with $R=0.7$. It contains contributions from the data and from the \textsc{PYTHIA}~8 + sample used to perform the unfolding. +keywords: +- name: observables + values: + - correlations +location: Fig. 2 +name: ak7_correlations_y1_y3 +--- +data_file: ak7_correlations_y1_y4.yaml +description: The correlation matrix at the particle level of inclusive jet production + cross section as a function of the jet transverse momentum~$p_\mathrm{T}$ for jets + in $|y| < 0.5$and $1.5 < |y| < 2.0$ clustered using the anti-$k_\mathrm{t}$ algorithm + with $R=0.7$. It contains contributions from the data and from the \textsc{PYTHIA}~8 + sample used to perform the unfolding. +keywords: +- name: observables + values: + - correlations +location: Fig. 2 +name: ak7_correlations_y1_y4 +--- +data_file: ak7_correlations_y2_y1.yaml +description: The correlation matrix at the particle level of inclusive jet production + cross section as a function of the jet transverse momentum~$p_\mathrm{T}$ for jets + in $0.5 < |y| < 1.0$and $|y| < 0.5$ clustered using the anti-$k_\mathrm{t}$ algorithm + with $R=0.7$. It contains contributions from the data and from the \textsc{PYTHIA}~8 + sample used to perform the unfolding. +keywords: +- name: observables + values: + - correlations +location: Fig. 2 +name: ak7_correlations_y2_y1 +--- +data_file: ak7_correlations_y2_y2.yaml +description: The correlation matrix at the particle level of inclusive jet production + cross section as a function of the jet transverse momentum~$p_\mathrm{T}$ for jets + in $0.5 < |y| < 1.0$ clustered using the anti-$k_\mathrm{t}$ algorithm with $R=0.7$. + It contains contributions from the data and from the \textsc{PYTHIA}~8 sample used + to perform the unfolding. +keywords: +- name: observables + values: + - correlations +location: Fig. 2 +name: ak7_correlations_y2_y2 +--- +data_file: ak7_correlations_y2_y3.yaml +description: The correlation matrix at the particle level of inclusive jet production + cross section as a function of the jet transverse momentum~$p_\mathrm{T}$ for jets + in $0.5 < |y| < 1.0$and $1.0 < |y| < 1.5$ clustered using the anti-$k_\mathrm{t}$ + algorithm with $R=0.7$. It contains contributions from the data and from the \textsc{PYTHIA}~8 + sample used to perform the unfolding. +keywords: +- name: observables + values: + - correlations +location: Fig. 2 +name: ak7_correlations_y2_y3 +--- +data_file: ak7_correlations_y2_y4.yaml +description: The correlation matrix at the particle level of inclusive jet production + cross section as a function of the jet transverse momentum~$p_\mathrm{T}$ for jets + in $0.5 < |y| < 1.0$and $1.5 < |y| < 2.0$ clustered using the anti-$k_\mathrm{t}$ + algorithm with $R=0.7$. It contains contributions from the data and from the \textsc{PYTHIA}~8 + sample used to perform the unfolding. +keywords: +- name: observables + values: + - correlations +location: Fig. 2 +name: ak7_correlations_y2_y4 +--- +data_file: ak7_correlations_y3_y1.yaml +description: The correlation matrix at the particle level of inclusive jet production + cross section as a function of the jet transverse momentum~$p_\mathrm{T}$ for jets + in $1.0 < |y| < 1.5$and $|y| < 0.5$ clustered using the anti-$k_\mathrm{t}$ algorithm + with $R=0.7$. It contains contributions from the data and from the \textsc{PYTHIA}~8 + sample used to perform the unfolding. +keywords: +- name: observables + values: + - correlations +location: Fig. 2 +name: ak7_correlations_y3_y1 +--- +data_file: ak7_correlations_y3_y2.yaml +description: The correlation matrix at the particle level of inclusive jet production + cross section as a function of the jet transverse momentum~$p_\mathrm{T}$ for jets + in $1.0 < |y| < 1.5$and $0.5 < |y| < 1.0$ clustered using the anti-$k_\mathrm{t}$ + algorithm with $R=0.7$. It contains contributions from the data and from the \textsc{PYTHIA}~8 + sample used to perform the unfolding. +keywords: +- name: observables + values: + - correlations +location: Fig. 2 +name: ak7_correlations_y3_y2 +--- +data_file: ak7_correlations_y3_y3.yaml +description: The correlation matrix at the particle level of inclusive jet production + cross section as a function of the jet transverse momentum~$p_\mathrm{T}$ for jets + in $1.0 < |y| < 1.5$ clustered using the anti-$k_\mathrm{t}$ algorithm with $R=0.7$. + It contains contributions from the data and from the \textsc{PYTHIA}~8 sample used + to perform the unfolding. +keywords: +- name: observables + values: + - correlations +location: Fig. 2 +name: ak7_correlations_y3_y3 +--- +data_file: ak7_correlations_y3_y4.yaml +description: The correlation matrix at the particle level of inclusive jet production + cross section as a function of the jet transverse momentum~$p_\mathrm{T}$ for jets + in $1.0 < |y| < 1.5$and $1.5 < |y| < 2.0$ clustered using the anti-$k_\mathrm{t}$ + algorithm with $R=0.7$. It contains contributions from the data and from the \textsc{PYTHIA}~8 + sample used to perform the unfolding. +keywords: +- name: observables + values: + - correlations +location: Fig. 2 +name: ak7_correlations_y3_y4 +--- +data_file: ak7_correlations_y4_y1.yaml +description: The correlation matrix at the particle level of inclusive jet production + cross section as a function of the jet transverse momentum~$p_\mathrm{T}$ for jets + in $1.5 < |y| < 2.0$and $|y| < 0.5$ clustered using the anti-$k_\mathrm{t}$ algorithm + with $R=0.7$. It contains contributions from the data and from the \textsc{PYTHIA}~8 + sample used to perform the unfolding. +keywords: +- name: observables + values: + - correlations +location: Fig. 2 +name: ak7_correlations_y4_y1 +--- +data_file: ak7_correlations_y4_y2.yaml +description: The correlation matrix at the particle level of inclusive jet production + cross section as a function of the jet transverse momentum~$p_\mathrm{T}$ for jets + in $1.5 < |y| < 2.0$and $0.5 < |y| < 1.0$ clustered using the anti-$k_\mathrm{t}$ + algorithm with $R=0.7$. It contains contributions from the data and from the \textsc{PYTHIA}~8 + sample used to perform the unfolding. +keywords: +- name: observables + values: + - correlations +location: Fig. 2 +name: ak7_correlations_y4_y2 +--- +data_file: ak7_correlations_y4_y3.yaml +description: The correlation matrix at the particle level of inclusive jet production + cross section as a function of the jet transverse momentum~$p_\mathrm{T}$ for jets + in $1.5 < |y| < 2.0$and $1.0 < |y| < 1.5$ clustered using the anti-$k_\mathrm{t}$ + algorithm with $R=0.7$. It contains contributions from the data and from the \textsc{PYTHIA}~8 + sample used to perform the unfolding. +keywords: +- name: observables + values: + - correlations +location: Fig. 2 +name: ak7_correlations_y4_y3 +--- +data_file: ak7_correlations_y4_y4.yaml +description: The correlation matrix at the particle level of inclusive jet production + cross section as a function of the jet transverse momentum~$p_\mathrm{T}$ for jets + in $1.5 < |y| < 2.0$ clustered using the anti-$k_\mathrm{t}$ algorithm with $R=0.7$. + It contains contributions from the data and from the \textsc{PYTHIA}~8 sample used + to perform the unfolding. +keywords: +- name: observables + values: + - correlations +location: Fig. 2 +name: ak7_correlations_y4_y4 +--- +data_file: ak4_ew_ybin1.yaml +description: The corrections were calculated by Dittmaier, Huss, Speckner. +keywords: [] +location: Fig. 4 (left) +name: ak4_EW_ybin1 +--- +data_file: ak4_ew_ybin2.yaml +description: The corrections were calculated by Dittmaier, Huss, Speckner. +keywords: [] +location: Fig. 4 (left) +name: ak4_EW_ybin2 +--- +data_file: ak4_ew_ybin3.yaml +description: The corrections were calculated by Dittmaier, Huss, Speckner. +keywords: [] +location: Fig. 4 (left) +name: ak4_EW_ybin3 +--- +data_file: ak4_ew_ybin4.yaml +description: The corrections were calculated by Dittmaier, Huss, Speckner. +keywords: [] +location: Fig. 4 (left) +name: ak4_EW_ybin4 +--- +data_file: ak7_ew_ybin1.yaml +description: The corrections were calculated by Dittmaier, Huss, Speckner. +keywords: [] +location: Fig. 4 (right) +name: ak7_EW_ybin1 +--- +data_file: ak7_ew_ybin2.yaml +description: The corrections were calculated by Dittmaier, Huss, Speckner. +keywords: [] +location: Fig. 4 (right) +name: ak7_EW_ybin2 +--- +data_file: ak7_ew_ybin3.yaml +description: The corrections were calculated by Dittmaier, Huss, Speckner. +keywords: [] +location: Fig. 4 (right) +name: ak7_EW_ybin3 +--- +data_file: ak7_ew_ybin4.yaml +description: The corrections were calculated by Dittmaier, Huss, Speckner. +keywords: [] +location: Fig. 4 (right) +name: ak7_EW_ybin4 +--- +data_file: ak4_np_ybin1.yaml +description: The values correspond to the average of the corrections obtained with + \textsc{{PYTHIA}}~8 and with \textsc{{HERWIG}}++. +keywords: [] +location: Fig. 5 (left) +name: ak4_NP_ybin1 +--- +data_file: ak4_np_ybin2.yaml +description: The values correspond to the average of the corrections obtained with + \textsc{{PYTHIA}}~8 and with \textsc{{HERWIG}}++. +keywords: [] +location: Fig. 5 (left) +name: ak4_NP_ybin2 +--- +data_file: ak4_np_ybin3.yaml +description: The values correspond to the average of the corrections obtained with + \textsc{{PYTHIA}}~8 and with \textsc{{HERWIG}}++. +keywords: [] +location: Fig. 5 (left) +name: ak4_NP_ybin3 +--- +data_file: ak4_np_ybin4.yaml +description: The values correspond to the average of the corrections obtained with + \textsc{{PYTHIA}}~8 and with \textsc{{HERWIG}}++. +keywords: [] +location: Fig. 5 (left) +name: ak4_NP_ybin4 +--- +data_file: ak7_np_ybin1.yaml +description: The values correspond to the average of the corrections obtained with + \textsc{{PYTHIA}}~8 and with \textsc{{HERWIG}}++. +keywords: [] +location: Fig. 5 (right) +name: ak7_NP_ybin1 +--- +data_file: ak7_np_ybin2.yaml +description: The values correspond to the average of the corrections obtained with + \textsc{{PYTHIA}}~8 and with \textsc{{HERWIG}}++. +keywords: [] +location: Fig. 5 (right) +name: ak7_NP_ybin2 +--- +data_file: ak7_np_ybin3.yaml +description: The values correspond to the average of the corrections obtained with + \textsc{{PYTHIA}}~8 and with \textsc{{HERWIG}}++. +keywords: [] +location: Fig. 5 (right) +name: ak7_NP_ybin3 +--- +data_file: ak7_np_ybin4.yaml +description: The values correspond to the average of the corrections obtained with + \textsc{{PYTHIA}}~8 and with \textsc{{HERWIG}}++. +keywords: [] +location: Fig. 5 (right) +name: ak7_NP_ybin4 diff --git a/buildmaster/CMS_1JET_13TEV_DIF/uncertainties_r04.yaml b/buildmaster/CMS_1JET_13TEV_DIF/uncertainties_r04.yaml new file mode 100644 index 0000000000..9b1feb9ecd --- /dev/null +++ b/buildmaster/CMS_1JET_13TEV_DIF/uncertainties_r04.yaml @@ -0,0 +1,2462 @@ +definitions: + all uncorr. unc.: + description: all uncorrelated uncertainties + treatment: ADD + type: UNCORR + AbsoluteMPFBias: + description: '' + treatment: MULT + type: CORR + AbsoluteScale: + description: '' + treatment: MULT + type: CORR + fake: + description: '' + treatment: MULT + type: CORR + FlavorQCD: + description: '' + treatment: MULT + type: CORR + Fragmentation: + description: '' + treatment: MULT + type: CORR + JER: + description: '' + treatment: MULT + type: CORR + miss: + description: '' + treatment: MULT + type: CORR + PileUpDataMC: + description: '' + treatment: MULT + type: CORR + PileUpPtBB: + description: '' + treatment: MULT + type: CORR + PileUpPtEC1: + description: '' + treatment: MULT + type: CORR + PileUpPtEC2: + description: '' + treatment: MULT + type: CORR + PileUpPtRef: + description: '' + treatment: MULT + type: CORR + Pref: + description: '' + treatment: MULT + type: CORR + PU: + description: '' + treatment: MULT + type: CORR + RelativeBal: + description: '' + treatment: MULT + type: CORR + RelativeFSR: + description: '' + treatment: MULT + type: CORR + RelativeJEREC1: + description: '' + treatment: MULT + type: CORR + RelativeJEREC2: + description: '' + treatment: MULT + type: CORR + RelativePtBB: + description: '' + treatment: MULT + type: CORR + RelativePtEC1: + description: '' + treatment: MULT + type: CORR + RelativePtEC2: + description: '' + treatment: MULT + type: CORR + RelativeSample: + description: '' + treatment: MULT + type: CORR + RelativeStatEC: + description: '' + treatment: MULT + type: CORR + RelativeStatFSR: + description: '' + treatment: MULT + type: CORR + SinglePionECAL: + description: '' + treatment: MULT + type: CORR + SinglePionHCAL: + description: '' + treatment: MULT + type: CORR + TimePtEta: + description: '' + treatment: MULT + type: CORR + Lumi: + description: '' + treatment: MULT + type: CORR + model: + description: '' + treatment: MULT + type: CORR +bins: +- all uncorr. unc.: 43.735 + AbsoluteMPFBias: 100.46 + AbsoluteScale: 61.326 + fake: -0.54818 + FlavorQCD: 298.59 + Fragmentation: 22.409 + JER: -98.103 + miss: 9.8673 + PileUpDataMC: 66.009 + PileUpPtBB: 6.9162 + PileUpPtEC1: 0.47979 + PileUpPtEC2: 0.011386 + PileUpPtRef: 16.19 + Pref: -21.655 + PU: -3.5968 + RelativeBal: 70.198 + RelativeFSR: -124.31 + RelativeJEREC1: 2.386 + RelativeJEREC2: 0.39501 + RelativePtBB: -16.309 + RelativePtEC1: -0.02444 + RelativePtEC2: 0.0055975 + RelativeSample: 116.63 + RelativeStatEC: 1.4105 + RelativeStatFSR: 7.1255 + SinglePionECAL: -34.572 + SinglePionHCAL: -11.851 + TimePtEta: 129.87 + Lumi: 112.51 + model: 29.216 +- all uncorr. unc.: 10.571 + AbsoluteMPFBias: 24.818 + AbsoluteScale: 15.188 + fake: -0.023028 + FlavorQCD: 59.392 + Fragmentation: 3.4193 + JER: -18.245 + miss: 1.7386 + PileUpDataMC: 11.521 + PileUpPtBB: 2.3232 + PileUpPtEC1: 0.019871 + PileUpPtEC2: 0.0014395 + PileUpPtRef: 3.1511 + Pref: -8.2202 + PU: -0.71517 + RelativeBal: 16.386 + RelativeFSR: -22.48 + RelativeJEREC1: 0.090023 + RelativeJEREC2: 0.017663 + RelativePtBB: -1.2873 + RelativePtEC1: -0.0048877 + RelativePtEC2: 0.00077542 + RelativeSample: 24.302 + RelativeStatEC: 0.046716 + RelativeStatFSR: 1.7656 + SinglePionECAL: -4.6643 + SinglePionHCAL: -1.7537 + TimePtEta: 35.24 + Lumi: 26.239 + model: 1.1527 +- all uncorr. unc.: 2.5752 + AbsoluteMPFBias: 7.2451 + AbsoluteScale: 4.3721 + fake: 0.0032492 + FlavorQCD: 14.636 + Fragmentation: 0.51356 + JER: -4.7143 + miss: 0.4163 + PileUpDataMC: 2.495 + PileUpPtBB: 0.78249 + PileUpPtEC1: -0.0049526 + PileUpPtEC2: 0.00019111 + PileUpPtRef: 0.67874 + Pref: -3.1655 + PU: -0.16825 + RelativeBal: 4.7426 + RelativeFSR: -4.9712 + RelativeJEREC1: -0.018951 + RelativeJEREC2: -0.0019854 + RelativePtBB: 0.17577 + RelativePtEC1: -0.0011578 + RelativePtEC2: 0.00011708 + RelativeSample: 5.8785 + RelativeStatEC: -0.013513 + RelativeStatFSR: 0.51315 + SinglePionECAL: -0.62363 + SinglePionHCAL: -0.24352 + TimePtEta: 10.77 + Lumi: 7.2572 + model: 1.1959 +- all uncorr. unc.: 0.91095 + AbsoluteMPFBias: 2.3473 + AbsoluteScale: 1.4036 + fake: 0.0014884 + FlavorQCD: 4.0758 + Fragmentation: 0.039954 + JER: -1.3763 + miss: 0.12509 + PileUpDataMC: 0.64867 + PileUpPtBB: 0.23893 + PileUpPtEC1: -0.0015957 + PileUpPtEC2: 1.9917e-05 + PileUpPtRef: 0.14203 + Pref: -1.2218 + PU: -0.044105 + RelativeBal: 1.5444 + RelativeFSR: -1.1856 + RelativeJEREC1: -0.0082619 + RelativeJEREC2: -0.00097347 + RelativePtBB: 0.19201 + RelativePtEC1: -0.00030605 + RelativePtEC2: 1.6343e-05 + RelativeSample: 1.5724 + RelativeStatEC: -0.0055743 + RelativeStatFSR: 0.16631 + SinglePionECAL: -0.05999 + SinglePionHCAL: -0.0093293 + TimePtEta: 3.6053 + Lumi: 2.255 + model: 0.56228 +- all uncorr. unc.: 0.29045 + AbsoluteMPFBias: 0.80657 + AbsoluteScale: 0.48416 + fake: 0.00034346 + FlavorQCD: 1.2065 + Fragmentation: -0.025597 + JER: -0.43648 + miss: 0.043447 + PileUpDataMC: 0.18235 + PileUpPtBB: 0.07008 + PileUpPtEC1: -0.00039364 + PileUpPtEC2: -8.4312e-06 + PileUpPtRef: 0.024728 + Pref: -0.44355 + PU: -0.012243 + RelativeBal: 0.54827 + RelativeFSR: -0.2764 + RelativeJEREC1: -0.0020897 + RelativeJEREC2: -0.00022181 + RelativePtBB: 0.10482 + RelativePtEC1: -8.5873e-05 + RelativePtEC2: 1.1521e-06 + RelativeSample: 0.4513 + RelativeStatEC: -0.0014293 + RelativeStatFSR: 0.057592 + SinglePionECAL: 0.032215 + SinglePionHCAL: 0.020055 + TimePtEta: 1.2787 + Lumi: 0.75264 + model: 0.21492 +- all uncorr. unc.: 0.092298 + AbsoluteMPFBias: 0.29376 + AbsoluteScale: 0.17683 + fake: 4.3377e-05 + FlavorQCD: 0.37558 + Fragmentation: -0.02088 + JER: -0.14952 + miss: 0.01673 + PileUpDataMC: 0.054931 + PileUpPtBB: 0.020152 + PileUpPtEC1: -7.889e-05 + PileUpPtEC2: -3.5743e-06 + PileUpPtRef: 0.0014862 + Pref: -0.16253 + PU: -0.003543 + RelativeBal: 0.20639 + RelativeFSR: -0.057204 + RelativeJEREC1: -0.00037395 + RelativeJEREC2: -2.4908e-05 + RelativePtBB: 0.050834 + RelativePtEC1: -2.5213e-05 + RelativePtEC2: 5.1355e-07 + RelativeSample: 0.13559 + RelativeStatEC: -0.00027402 + RelativeStatFSR: 0.021169 + SinglePionECAL: 0.024238 + SinglePionHCAL: 0.012807 + TimePtEta: 0.48605 + Lumi: 0.26774 + model: 0.066518 +- all uncorr. unc.: 0.032499 + AbsoluteMPFBias: 0.11304 + AbsoluteScale: 0.068181 + fake: -7.7737e-06 + FlavorQCD: 0.12139 + Fragmentation: -0.012008 + JER: -0.053536 + miss: 0.0069344 + PileUpDataMC: 0.01758 + PileUpPtBB: 0.0058068 + PileUpPtEC1: 9.958e-06 + PileUpPtEC2: -1.3192e-06 + PileUpPtRef: -0.0019726 + Pref: -0.053542 + PU: -0.0010468 + RelativeBal: 0.081357 + RelativeFSR: -0.006934 + RelativeJEREC1: -2.897e-05 + RelativeJEREC2: 7.0614e-06 + RelativePtBB: 0.024113 + RelativePtEC1: -7.6062e-06 + RelativePtEC2: 3.7691e-07 + RelativeSample: 0.041467 + RelativeStatEC: -2.5496e-05 + RelativeStatFSR: 0.008207 + SinglePionECAL: 0.013355 + SinglePionHCAL: 0.0071642 + TimePtEta: 0.19402 + Lumi: 0.10075 + model: 0.018433 +- all uncorr. unc.: 0.013168 + AbsoluteMPFBias: 0.044723 + AbsoluteScale: 0.027011 + fake: -7.9122e-06 + FlavorQCD: 0.039344 + Fragmentation: -0.0061435 + JER: -0.019452 + miss: 0.0029624 + PileUpDataMC: 0.0058159 + PileUpPtBB: 0.0014975 + PileUpPtEC1: 6.2074e-06 + PileUpPtEC2: -4.3911e-07 + PileUpPtRef: -0.0013969 + Pref: -0.016771 + PU: -0.00030092 + RelativeBal: 0.032674 + RelativeFSR: 0.0031955 + RelativeJEREC1: 2.1468e-05 + RelativeJEREC2: 5.9873e-06 + RelativePtBB: 0.011255 + RelativePtEC1: -2.2587e-06 + RelativePtEC2: 1.7073e-07 + RelativeSample: 0.012312 + RelativeStatEC: 9.1351e-06 + RelativeStatFSR: 0.0032594 + SinglePionECAL: 0.0066452 + SinglePionHCAL: 0.0036183 + TimePtEta: 0.079026 + Lumi: 0.038944 + model: 0.0056801 +- all uncorr. unc.: 0.0043455 + AbsoluteMPFBias: 0.018399 + AbsoluteScale: 0.01112 + fake: -3.2996e-06 + FlavorQCD: 0.012768 + Fragmentation: -0.003033 + JER: -0.0072629 + miss: 0.0013088 + PileUpDataMC: 0.0020305 + PileUpPtBB: 0.00027429 + PileUpPtEC1: 3.1153e-06 + PileUpPtEC2: -1.3275e-07 + PileUpPtRef: -0.0007517 + Pref: -0.0057525 + PU: -8.1214e-05 + RelativeBal: 0.013544 + RelativeFSR: 0.003565 + RelativeJEREC1: 1.2214e-05 + RelativeJEREC2: 2.4142e-06 + RelativePtBB: 0.0053603 + RelativePtEC1: -6.4652e-07 + RelativePtEC2: 6.5756e-08 + RelativeSample: 0.0034319 + RelativeStatEC: 6.3306e-06 + RelativeStatFSR: 0.0013422 + SinglePionECAL: 0.0032468 + SinglePionHCAL: 0.001773 + TimePtEta: 0.033209 + Lumi: 0.01561 + model: 0.0020528 +- all uncorr. unc.: 0.001762 + AbsoluteMPFBias: 0.0076832 + AbsoluteScale: 0.0046496 + fake: -7.7984e-07 + FlavorQCD: 0.0039668 + Fragmentation: -0.0014505 + JER: -0.0027355 + miss: 0.00058171 + PileUpDataMC: 0.00074015 + PileUpPtBB: -3.9174e-05 + PileUpPtEC1: 9.1869e-07 + PileUpPtEC2: -3.3041e-08 + PileUpPtRef: -0.0003458 + Pref: -0.0019357 + PU: -1.7657e-05 + RelativeBal: 0.005685 + RelativeFSR: 0.0023957 + RelativeJEREC1: 3.5854e-06 + RelativeJEREC2: 5.5722e-07 + RelativePtBB: 0.0025173 + RelativePtEC1: -1.618e-07 + RelativePtEC2: 2.217e-08 + RelativeSample: 0.00077528 + RelativeStatEC: 1.8736e-06 + RelativeStatFSR: 0.00055829 + SinglePionECAL: 0.0015653 + SinglePionHCAL: 0.00084385 + TimePtEta: 0.014058 + Lumi: 0.0063283 + model: 0.00074753 +- all uncorr. unc.: 0.00079794 + AbsoluteMPFBias: 0.0032879 + AbsoluteScale: 0.0019898 + fake: 5.9082e-08 + FlavorQCD: 0.0011638 + Fragmentation: -0.00068729 + JER: -0.0010602 + miss: 0.00026203 + PileUpDataMC: 0.00027573 + PileUpPtBB: -7.165e-05 + PileUpPtEC1: 7.3397e-08 + PileUpPtEC2: -6.2314e-09 + PileUpPtRef: -0.00014377 + Pref: -0.00068084 + PU: 1.6798e-06 + RelativeBal: 0.0024519 + RelativeFSR: 0.0014116 + RelativeJEREC1: 1.2633e-07 + RelativeJEREC2: -6.6692e-08 + RelativePtBB: 0.0011831 + RelativePtEC1: 2.7415e-08 + RelativePtEC2: 6.5253e-09 + RelativeSample: 8.4821e-05 + RelativeStatEC: -1.5774e-07 + RelativeStatFSR: 0.00023661 + SinglePionECAL: 0.0007459 + SinglePionHCAL: 0.00039851 + TimePtEta: 0.0060519 + Lumi: 0.0026187 + model: 0.00016347 +- all uncorr. unc.: 0.00038102 + AbsoluteMPFBias: 0.0014358 + AbsoluteScale: 0.00086722 + fake: 1.9792e-07 + FlavorQCD: 0.00028673 + Fragmentation: -0.00032422 + JER: -0.00043429 + miss: 0.00011913 + PileUpDataMC: 0.00010362 + PileUpPtBB: -5.5825e-05 + PileUpPtEC1: -1.5268e-07 + PileUpPtEC2: 1.6614e-09 + PileUpPtRef: -5.3722e-05 + Pref: -0.00026251 + PU: 3.2163e-06 + RelativeBal: 0.0010734 + RelativeFSR: 0.00078127 + RelativeJEREC1: -6.6716e-07 + RelativeJEREC2: -1.4573e-07 + RelativePtBB: 0.00055696 + RelativePtEC1: 2.0235e-08 + RelativePtEC2: 1.4996e-09 + RelativeSample: -8.077e-05 + RelativeStatEC: -4.5451e-07 + RelativeStatFSR: 0.00010174 + SinglePionECAL: 0.00035335 + SinglePionHCAL: 0.00019133 + TimePtEta: 0.0026397 + Lumi: 0.0011011 + model: -1.1481e-06 +- all uncorr. unc.: 0.00019401 + AbsoluteMPFBias: 0.00061827 + AbsoluteScale: 0.0003731 + fake: 1.3474e-07 + FlavorQCD: 3.342e-05 + Fragmentation: -0.00014819 + JER: -0.00018015 + miss: 5.2862e-05 + PileUpDataMC: 3.7578e-05 + PileUpPtBB: -3.3835e-05 + PileUpPtEC1: -1.3561e-07 + PileUpPtEC2: 2.0435e-09 + PileUpPtRef: -1.6407e-05 + Pref: -9.4255e-05 + PU: 2.3329e-06 + RelativeBal: 0.00046094 + RelativeFSR: 0.0004047 + RelativeJEREC1: -5.3777e-07 + RelativeJEREC2: -9.8444e-08 + RelativePtBB: 0.00025578 + RelativePtEC1: 1.3926e-08 + RelativePtEC2: 1.2309e-10 + RelativeSample: -7.8577e-05 + RelativeStatEC: -3.5812e-07 + RelativeStatFSR: 4.2907e-05 + SinglePionECAL: 0.00016177 + SinglePionHCAL: 9.0516e-05 + TimePtEta: 0.0011279 + Lumi: 0.00045456 + model: 2.6833e-05 +- all uncorr. unc.: 0.00010665 + AbsoluteMPFBias: 0.00027054 + AbsoluteScale: 0.00016307 + fake: 5.9947e-08 + FlavorQCD: -2.3419e-05 + Fragmentation: -6.772e-05 + JER: -7.7104e-05 + miss: 2.3601e-05 + PileUpDataMC: 1.4212e-05 + PileUpPtBB: -1.8662e-05 + PileUpPtEC1: -7.8858e-08 + PileUpPtEC2: 1.3215e-09 + PileUpPtRef: -3.2023e-06 + Pref: -3.6876e-05 + PU: 1.3813e-06 + RelativeBal: 0.00020205 + RelativeFSR: 0.0002058 + RelativeJEREC1: -2.7761e-07 + RelativeJEREC2: -4.3832e-08 + RelativePtBB: 0.00011897 + RelativePtEC1: 8.0723e-09 + RelativePtEC2: 1.2037e-10 + RelativeSample: -5.1859e-05 + RelativeStatEC: -1.905e-07 + RelativeStatFSR: 1.8293e-05 + SinglePionECAL: 7.402e-05 + SinglePionHCAL: 4.2969e-05 + TimePtEta: 0.00048839 + Lumi: 0.00018992 + model: -7.0556e-06 +- all uncorr. unc.: 6.219e-05 + AbsoluteMPFBias: 0.00011758 + AbsoluteScale: 7.0774e-05 + fake: 1.41e-08 + FlavorQCD: -2.428e-05 + Fragmentation: -3.033e-05 + JER: -3.4433e-05 + miss: 1.0373e-05 + PileUpDataMC: 5.6204e-06 + PileUpPtBB: -9.6164e-06 + PileUpPtEC1: -3.5017e-08 + PileUpPtEC2: 6.8636e-10 + PileUpPtRef: 7.3778e-07 + Pref: -1.4347e-05 + PU: 7.3424e-07 + RelativeBal: 8.9051e-05 + RelativeFSR: 0.00010244 + RelativeJEREC1: -9.51e-08 + RelativeJEREC2: -1.0521e-08 + RelativePtBB: 5.4474e-05 + RelativePtEC1: 4.2418e-09 + RelativePtEC2: 9.6223e-11 + RelativeSample: -2.9358e-05 + RelativeStatEC: -7.2326e-08 + RelativeStatFSR: 7.7106e-06 + SinglePionECAL: 3.3278e-05 + SinglePionHCAL: 2.0041e-05 + TimePtEta: 0.00021139 + Lumi: 7.8528e-05 + model: 2.3826e-07 +- all uncorr. unc.: 3.6925e-05 + AbsoluteMPFBias: 5.1062e-05 + AbsoluteScale: 3.0687e-05 + fake: -5.544e-09 + FlavorQCD: -1.6002e-05 + Fragmentation: -1.3423e-05 + JER: -1.6351e-05 + miss: 4.5191e-06 + PileUpDataMC: 2.2733e-06 + PileUpPtBB: -4.9416e-06 + PileUpPtEC1: -1.1186e-08 + PileUpPtEC2: 3.1398e-10 + PileUpPtRef: 1.3707e-06 + Pref: -4.6891e-06 + PU: 3.6774e-07 + RelativeBal: 3.9491e-05 + RelativeFSR: 5.0139e-05 + RelativeJEREC1: -6.5853e-09 + RelativeJEREC2: 3.7502e-09 + RelativePtBB: 2.473e-05 + RelativePtEC1: 2.1091e-09 + RelativePtEC2: 4.4983e-11 + RelativeSample: -1.5628e-05 + RelativeStatEC: -1.3441e-08 + RelativeStatFSR: 3.2338e-06 + SinglePionECAL: 1.5041e-05 + SinglePionHCAL: 9.2536e-06 + TimePtEta: 9.1158e-05 + Lumi: 3.2335e-05 + model: -7.9572e-08 +- all uncorr. unc.: 2.1603e-05 + AbsoluteMPFBias: 2.0554e-05 + AbsoluteScale: 1.2332e-05 + fake: -9.8205e-09 + FlavorQCD: -8.4337e-06 + Fragmentation: -5.4556e-06 + JER: -7.4515e-06 + miss: 1.8124e-06 + PileUpDataMC: 8.7223e-07 + PileUpPtBB: -2.3042e-06 + PileUpPtEC1: -8.5389e-10 + PileUpPtEC2: 1.1994e-10 + PileUpPtRef: 1.0138e-06 + Pref: -1.8244e-06 + PU: 1.6425e-07 + RelativeBal: 1.6351e-05 + RelativeFSR: 2.2464e-05 + RelativeJEREC1: 2.2575e-08 + RelativeJEREC2: 6.9197e-09 + RelativePtBB: 1.0337e-05 + RelativePtEC1: 9.3737e-10 + RelativePtEC2: 1.2618e-11 + RelativeSample: -7.4937e-06 + RelativeStatEC: 8.6614e-09 + RelativeStatFSR: 1.2525e-06 + SinglePionECAL: 6.2626e-06 + SinglePionHCAL: 3.9285e-06 + TimePtEta: 3.6348e-05 + Lumi: 1.2305e-05 + model: 5.136e-08 +- all uncorr. unc.: 1.276e-05 + AbsoluteMPFBias: 8.6044e-06 + AbsoluteScale: 5.1538e-06 + fake: -8.5724e-09 + FlavorQCD: -4.2534e-06 + Fragmentation: -2.2879e-06 + JER: -3.6092e-06 + miss: 7.5144e-07 + PileUpDataMC: 3.5551e-07 + PileUpPtBB: -1.1007e-06 + PileUpPtEC1: 2.0985e-09 + PileUpPtEC2: 4.2443e-11 + PileUpPtRef: 6.2953e-07 + Pref: -7.9368e-07 + PU: 7.4241e-08 + RelativeBal: 7.0901e-06 + RelativeFSR: 1.0366e-05 + RelativeJEREC1: 2.4927e-08 + RelativeJEREC2: 6.0754e-09 + RelativePtBB: 4.4672e-06 + RelativePtEC1: 4.2215e-10 + RelativePtEC2: 1.7476e-12 + RelativeSample: -3.6218e-06 + RelativeStatEC: 1.2365e-08 + RelativeStatFSR: 5.0284e-07 + SinglePionECAL: 2.6981e-06 + SinglePionHCAL: 1.7224e-06 + TimePtEta: 1.5041e-05 + Lumi: 4.8569e-06 + model: -1.1592e-08 +- all uncorr. unc.: 7.3807e-06 + AbsoluteMPFBias: 3.478e-06 + AbsoluteScale: 2.0796e-06 + fake: -5.7973e-09 + FlavorQCD: -1.9673e-06 + Fragmentation: -9.2025e-07 + JER: -1.705e-06 + miss: 2.9927e-07 + PileUpDataMC: 1.4249e-07 + PileUpPtBB: -5.02e-07 + PileUpPtEC1: 2.2324e-09 + PileUpPtEC2: 1.2137e-11 + PileUpPtRef: 3.4032e-07 + Pref: -2.093e-07 + PU: 3.1746e-08 + RelativeBal: 2.9875e-06 + RelativeFSR: 4.5812e-06 + RelativeJEREC1: 1.8408e-08 + RelativeJEREC2: 4.1167e-09 + RelativePtBB: 1.8546e-06 + RelativePtEC1: 1.8001e-10 + RelativePtEC2: 3.1576e-12 + RelativeSample: -1.6528e-06 + RelativeStatEC: 9.7604e-09 + RelativeStatFSR: 1.9436e-07 + SinglePionECAL: 1.1176e-06 + SinglePionHCAL: 7.2473e-07 + TimePtEta: 5.9988e-06 + Lumi: 1.8468e-06 + model: 1.5342e-07 +- all uncorr. unc.: 4.1378e-06 + AbsoluteMPFBias: 1.2558e-06 + AbsoluteScale: 7.4959e-07 + fake: -3.1234e-09 + FlavorQCD: -7.8444e-07 + Fragmentation: -3.2876e-07 + JER: -7.205e-07 + miss: 1.0601e-07 + PileUpDataMC: 5.1762e-08 + PileUpPtBB: -2.0266e-07 + PileUpPtEC1: 1.4479e-09 + PileUpPtEC2: -2.391e-12 + PileUpPtRef: 1.5436e-07 + Pref: -6.9037e-08 + PU: 1.1936e-08 + RelativeBal: 1.1306e-06 + RelativeFSR: 1.7964e-06 + RelativeJEREC1: 1.0403e-08 + RelativeJEREC2: 2.2197e-09 + RelativePtBB: 6.847e-07 + RelativePtEC1: 6.7529e-11 + RelativePtEC2: 2.6792e-12 + RelativeSample: -6.6252e-07 + RelativeStatEC: 5.6883e-09 + RelativeStatFSR: 6.6947e-08 + SinglePionECAL: 4.1197e-07 + SinglePionHCAL: 2.7092e-07 + TimePtEta: 2.134e-06 + Lumi: 6.2607e-07 + model: 3.7337e-08 +- all uncorr. unc.: 2.2147e-06 + AbsoluteMPFBias: 3.9635e-07 + AbsoluteScale: 2.3616e-07 + fake: -1.3669e-09 + FlavorQCD: -2.663e-07 + Fragmentation: -1.0217e-07 + JER: -2.6492e-07 + miss: 3.2706e-08 + PileUpDataMC: 1.6615e-08 + PileUpPtBB: -7.0957e-08 + PileUpPtEC1: 7.0265e-10 + PileUpPtEC2: -1.8836e-12 + PileUpPtRef: 5.8623e-08 + Pref: -7.6615e-09 + PU: 3.8732e-09 + RelativeBal: 3.7555e-07 + RelativeFSR: 6.1205e-07 + RelativeJEREC1: 4.6941e-09 + RelativeJEREC2: 9.7174e-10 + RelativePtBB: 2.2008e-07 + RelativePtEC1: 2.2007e-11 + RelativePtEC2: 1.4396e-12 + RelativeSample: -2.2908e-07 + RelativeStatEC: 2.6126e-09 + RelativeStatFSR: 2.0117e-08 + SinglePionECAL: 1.3232e-07 + SinglePionHCAL: 8.8095e-08 + TimePtEta: 6.6275e-07 + Lumi: 1.8526e-07 + model: 6.4901e-08 +- all uncorr. unc.: 1.1423e-06 + AbsoluteMPFBias: 1.296e-07 + AbsoluteScale: 7.7093e-08 + fake: -5.8876e-10 + FlavorQCD: -9.1788e-08 + Fragmentation: -3.2763e-08 + JER: -1.0017e-07 + miss: 1.0425e-08 + PileUpDataMC: 5.7662e-09 + PileUpPtBB: -2.557e-08 + PileUpPtEC1: 3.2354e-10 + PileUpPtEC2: -1.0362e-12 + PileUpPtRef: 2.2362e-08 + Pref: -7.8619e-09 + PU: 1.2892e-09 + RelativeBal: 1.2966e-07 + RelativeFSR: 2.1495e-07 + RelativeJEREC1: 2.0661e-09 + RelativeJEREC2: 4.1862e-10 + RelativePtBB: 7.3042e-08 + RelativePtEC1: 7.3963e-12 + RelativePtEC2: 6.965e-13 + RelativeSample: -8.1215e-08 + RelativeStatEC: 1.1633e-09 + RelativeStatFSR: 6.2535e-09 + SinglePionECAL: 4.3916e-08 + SinglePionHCAL: 2.9554e-08 + TimePtEta: 2.1306e-07 + Lumi: 5.6736e-08 + model: 1.2944e-08 +- all uncorr. unc.: 44.315 + AbsoluteMPFBias: 106.77 + AbsoluteScale: 65.704 + fake: -0.60198 + FlavorQCD: 296.18 + Fragmentation: 23.482 + JER: -115.77 + miss: 7.2831 + PileUpDataMC: 64.23 + PileUpPtBB: 15.809 + PileUpPtEC1: 0.32506 + PileUpPtEC2: 0.011943 + PileUpPtRef: 16.623 + Pref: -20.992 + PU: -5.4415 + RelativeBal: 14.601 + RelativeFSR: -28.2 + RelativeJEREC1: 2.4306 + RelativeJEREC2: 0.44452 + RelativePtBB: -13.492 + RelativePtEC1: -0.060703 + RelativePtEC2: 0.0055596 + RelativeSample: 79.978 + RelativeStatEC: 1.6273 + RelativeStatFSR: 8.4083 + SinglePionECAL: -33.63 + SinglePionHCAL: -13.016 + TimePtEta: 174.47 + Lumi: 108.01 + model: 25.217 +- all uncorr. unc.: 10.655 + AbsoluteMPFBias: 24.247 + AbsoluteScale: 14.992 + fake: -0.023323 + FlavorQCD: 58.749 + Fragmentation: 3.617 + JER: -20.304 + miss: 1.1411 + PileUpDataMC: 10.778 + PileUpPtBB: 3.0597 + PileUpPtEC1: 0.01885 + PileUpPtEC2: 0.0014945 + PileUpPtRef: 3.2803 + Pref: -7.8173 + PU: -0.91938 + RelativeBal: 3.3751 + RelativeFSR: -6.1519 + RelativeJEREC1: 0.036213 + RelativeJEREC2: 0.017248 + RelativePtBB: -1.5042 + RelativePtEC1: -0.0083795 + RelativePtEC2: 0.0007557 + RelativeSample: 11.016 + RelativeStatEC: 0.041378 + RelativeStatFSR: 1.9122 + SinglePionECAL: -4.673 + SinglePionHCAL: -1.6773 + TimePtEta: 42.607 + Lumi: 24.946 + model: 2.8673 +- all uncorr. unc.: 2.5365 + AbsoluteMPFBias: 7.0201 + AbsoluteScale: 4.1947 + fake: 0.0038352 + FlavorQCD: 14.001 + Fragmentation: 0.56166 + JER: -4.9504 + miss: 0.24961 + PileUpDataMC: 2.2683 + PileUpPtBB: 0.66171 + PileUpPtEC1: 0.0042241 + PileUpPtEC2: 0.00019594 + PileUpPtRef: 0.68166 + Pref: -3.1104 + PU: -0.18129 + RelativeBal: 0.96339 + RelativeFSR: -1.5638 + RelativeJEREC1: -0.035209 + RelativeJEREC2: -0.0027598 + RelativePtBB: 0.14162 + RelativePtEC1: -0.0012017 + RelativePtEC2: 0.00011082 + RelativeSample: 1.4028 + RelativeStatEC: -0.019102 + RelativeStatFSR: 0.52243 + SinglePionECAL: -0.66008 + SinglePionHCAL: -0.20613 + TimePtEta: 12.41 + Lumi: 6.8187 + model: 1.35 +- all uncorr. unc.: 0.89597 + AbsoluteMPFBias: 2.2403 + AbsoluteScale: 1.3443 + fake: 0.0016003 + FlavorQCD: 3.8443 + Fragmentation: 0.055363 + JER: -1.3724 + miss: 0.07175 + PileUpDataMC: 0.55615 + PileUpPtBB: 0.14976 + PileUpPtEC1: 0.0016226 + PileUpPtEC2: 2.0327e-05 + PileUpPtRef: 0.13855 + Pref: -1.0936 + PU: -0.038642 + RelativeBal: 0.31497 + RelativeFSR: -0.43794 + RelativeJEREC1: -0.012134 + RelativeJEREC2: -0.0011419 + RelativePtBB: 0.15422 + RelativePtEC1: -0.0003319 + RelativePtEC2: -1.4656e-05 + RelativeSample: 0.05715 + RelativeStatEC: -0.0072823 + RelativeStatFSR: 0.16112 + SinglePionECAL: -0.054886 + SinglePionHCAL: -0.0044999 + TimePtEta: 4.0024 + Lumi: 2.0828 + model: 0.78536 +- all uncorr. unc.: 0.28731 + AbsoluteMPFBias: 0.76258 + AbsoluteScale: 0.45839 + fake: 0.00034918 + FlavorQCD: 1.1361 + Fragmentation: -0.026692 + JER: -0.42875 + miss: 0.025141 + PileUpDataMC: 0.1524 + PileUpPtBB: 0.033397 + PileUpPtEC1: 0.00059622 + PileUpPtEC2: -5.3784e-06 + PileUpPtRef: 0.023987 + Pref: -0.41017 + PU: -0.0083997 + RelativeBal: 0.1133 + RelativeFSR: -0.13119 + RelativeJEREC1: -0.0029823 + RelativeJEREC2: -0.00024144 + RelativePtBB: 0.092749 + RelativePtEC1: -0.00011118 + RelativePtEC2: -8.2665e-07 + RelativeSample: -0.1242 + RelativeStatEC: -0.0019062 + RelativeStatFSR: 0.054344 + SinglePionECAL: 0.021728 + SinglePionHCAL: 0.014849 + TimePtEta: 1.3856 + Lumi: 0.69079 + model: 0.26963 +- all uncorr. unc.: 0.089972 + AbsoluteMPFBias: 0.27417 + AbsoluteScale: 0.16489 + fake: 3.7551e-05 + FlavorQCD: 0.35207 + Fragmentation: -0.020281 + JER: -0.14625 + miss: 0.0099511 + PileUpDataMC: 0.045265 + PileUpPtBB: 0.0065674 + PileUpPtEC1: 0.00018305 + PileUpPtEC2: -2.5804e-06 + PileUpPtRef: 0.0017017 + Pref: -0.14369 + PU: -0.0017139 + RelativeBal: 0.043624 + RelativeFSR: -0.0411 + RelativeJEREC1: -0.00058387 + RelativeJEREC2: -2.1868e-05 + RelativePtBB: 0.046229 + RelativePtEC1: -3.9594e-05 + RelativePtEC2: -5.4924e-07 + RelativeSample: -0.086423 + RelativeStatEC: -0.00041201 + RelativeStatFSR: 0.019602 + SinglePionECAL: 0.019905 + SinglePionHCAL: 0.010387 + TimePtEta: 0.50815 + Lumi: 0.24377 + model: 0.07712 +- all uncorr. unc.: 0.031899 + AbsoluteMPFBias: 0.10418 + AbsoluteScale: 0.062751 + fake: -1.0845e-05 + FlavorQCD: 0.1132 + Fragmentation: -0.011373 + JER: -0.052596 + miss: 0.0042609 + PileUpDataMC: 0.014362 + PileUpPtBB: 0.00083603 + PileUpPtEC1: 4.9666e-05 + PileUpPtEC2: -9.9548e-07 + PileUpPtRef: -0.0015646 + Pref: -0.046307 + PU: -0.00033992 + RelativeBal: 0.018077 + RelativeFSR: -0.013365 + RelativeJEREC1: -7.61e-05 + RelativeJEREC2: 9.8814e-06 + RelativePtBB: 0.022007 + RelativePtEC1: -1.4911e-05 + RelativePtEC2: -3.6675e-07 + RelativeSample: -0.04801 + RelativeStatEC: -7.1864e-05 + RelativeStatFSR: 0.0075107 + SinglePionECAL: 0.01174 + SinglePionHCAL: 0.0059567 + TimePtEta: 0.19716 + Lumi: 0.091035 + model: 0.021127 +- all uncorr. unc.: 0.012955 + AbsoluteMPFBias: 0.040113 + AbsoluteScale: 0.024272 + fake: -8.6317e-06 + FlavorQCD: 0.035875 + Fragmentation: -0.005636 + JER: -0.018999 + miss: 0.0018451 + PileUpDataMC: 0.0046281 + PileUpPtBB: -0.00029289 + PileUpPtEC1: 1.0942e-05 + PileUpPtEC2: -3.3558e-07 + PileUpPtRef: -0.0012184 + Pref: -0.014309 + PU: 0.00012831 + RelativeBal: 0.0075319 + RelativeFSR: -0.0043601 + RelativeJEREC1: 2.273e-05 + RelativeJEREC2: 6.872e-06 + RelativePtBB: 0.010054 + RelativePtEC1: -5.6731e-06 + RelativePtEC2: -1.5956e-07 + RelativeSample: -0.024083 + RelativeStatEC: -1.8189e-05 + RelativeStatFSR: 0.0029166 + SinglePionECAL: 0.0059535 + SinglePionHCAL: 0.0030378 + TimePtEta: 0.07704 + Lumi: 0.034364 + model: 0.0085919 +- all uncorr. unc.: 0.0042037 + AbsoluteMPFBias: 0.016431 + AbsoluteScale: 0.0099557 + fake: -3.324e-06 + FlavorQCD: 0.011605 + Fragmentation: -0.0027613 + JER: -0.0072319 + miss: 0.00083964 + PileUpDataMC: 0.0015787 + PileUpPtBB: -0.0003056 + PileUpPtEC1: 1.6007e-06 + PileUpPtEC2: -1.0663e-07 + PileUpPtRef: -0.00066542 + Pref: -0.0047412 + PU: 5.1287e-05 + RelativeBal: 0.003279 + RelativeFSR: -0.0014284 + RelativeJEREC1: 7.8978e-06 + RelativeJEREC2: 2.5505e-06 + RelativePtBB: 0.0047862 + RelativePtEC1: -2.2844e-06 + RelativePtEC2: -6.2075e-08 + RelativeSample: -0.012067 + RelativeStatEC: -8.6133e-06 + RelativeStatFSR: 0.0012016 + SinglePionECAL: 0.002956 + SinglePionHCAL: 0.0015323 + TimePtEta: 0.031786 + Lumi: 0.013736 + model: 0.0012752 +- all uncorr. unc.: 0.0017077 + AbsoluteMPFBias: 0.0067327 + AbsoluteScale: 0.0040748 + fake: -6.6569e-07 + FlavorQCD: 0.0035232 + Fragmentation: -0.0012904 + JER: -0.0027376 + miss: 0.00037601 + PileUpDataMC: 0.00053391 + PileUpPtBB: -0.00018168 + PileUpPtEC1: -1.407e-07 + PileUpPtEC2: -2.9686e-08 + PileUpPtRef: -0.00030326 + Pref: -0.0015429 + PU: 2.7469e-05 + RelativeBal: 0.001405 + RelativeFSR: -0.00042837 + RelativeJEREC1: -2.6874e-06 + RelativeJEREC2: 4.8783e-07 + RelativePtBB: 0.00221 + RelativePtEC1: -9.1418e-07 + RelativePtEC2: -2.1764e-08 + RelativeSample: -0.0058024 + RelativeStatEC: -3.933e-06 + RelativeStatFSR: 0.00049295 + SinglePionECAL: 0.0013935 + SinglePionHCAL: 0.00073658 + TimePtEta: 0.013009 + Lumi: 0.0054584 + model: 0.00015943 +- all uncorr. unc.: 0.00076617 + AbsoluteMPFBias: 0.0028494 + AbsoluteScale: 0.0017204 + fake: 1.2982e-07 + FlavorQCD: 0.001019 + Fragmentation: -0.00060117 + JER: -0.0010725 + miss: 0.00017082 + PileUpDataMC: 0.00018512 + PileUpPtBB: -9.2441e-05 + PileUpPtEC1: -1.8278e-07 + PileUpPtEC2: -7.547e-09 + PileUpPtRef: -0.00012516 + Pref: -0.00054658 + PU: 1.452e-05 + RelativeBal: 0.00061256 + RelativeFSR: -0.00011637 + RelativeJEREC1: -1.5996e-06 + RelativeJEREC2: -1.1179e-07 + RelativePtBB: 0.0010269 + RelativePtEC1: -3.7526e-07 + RelativePtEC2: -7.405e-09 + RelativeSample: -0.0027922 + RelativeStatEC: -1.8603e-06 + RelativeStatFSR: 0.00020768 + SinglePionECAL: 0.00065318 + SinglePionHCAL: 0.0003525 + TimePtEta: 0.0054513 + Lumi: 0.0022258 + model: -4.6361e-05 +- all uncorr. unc.: 0.00036261 + AbsoluteMPFBias: 0.0012284 + AbsoluteScale: 0.00074118 + fake: 2.2023e-07 + FlavorQCD: 0.00024719 + Fragmentation: -0.0002778 + JER: -0.00043678 + miss: 7.774e-05 + PileUpDataMC: 6.5153e-05 + PileUpPtBB: -4.3709e-05 + PileUpPtEC1: -1.2945e-07 + PileUpPtEC2: -1.6593e-09 + PileUpPtRef: -4.6139e-05 + Pref: -0.00020036 + PU: 6.9447e-06 + RelativeBal: 0.00027266 + RelativeFSR: -2.539e-05 + RelativeJEREC1: -1.3246e-06 + RelativeJEREC2: -1.7297e-07 + RelativePtBB: 0.0004759 + RelativePtEC1: -1.5581e-07 + RelativePtEC2: -2.5406e-09 + RelativeSample: -0.0013364 + RelativeStatEC: -1.2673e-06 + RelativeStatFSR: 8.8585e-05 + SinglePionECAL: 0.00030322 + SinglePionHCAL: 0.00016711 + TimePtEta: 0.0023074 + Lumi: 0.00091831 + model: -9.2836e-05 +- all uncorr. unc.: 0.00018284 + AbsoluteMPFBias: 0.00051895 + AbsoluteScale: 0.00031372 + fake: 1.3157e-07 + FlavorQCD: 2.7259e-05 + Fragmentation: -0.0001235 + JER: -0.00017591 + miss: 3.4139e-05 + PileUpDataMC: 2.3362e-05 + PileUpPtBB: -2.126e-05 + PileUpPtEC1: -7.6151e-08 + PileUpPtEC2: -3.9271e-10 + PileUpPtRef: -1.3756e-05 + Pref: -7.1386e-05 + PU: 3.0228e-06 + RelativeBal: 0.00011795 + RelativeFSR: -3.8112e-06 + RelativeJEREC1: -7.1459e-07 + RelativeJEREC2: -1.0149e-07 + RelativePtBB: 0.0002123 + RelativePtEC1: -6.2943e-08 + RelativePtEC2: -9.2477e-10 + RelativeSample: -0.00061479 + RelativeStatEC: -6.8126e-07 + RelativeStatFSR: 3.6795e-05 + SinglePionECAL: 0.00013489 + SinglePionHCAL: 7.6222e-05 + TimePtEta: 0.00094918 + Lumi: 0.00036872 + model: -5.7866e-05 +- all uncorr. unc.: 0.00010041 + AbsoluteMPFBias: 0.00022512 + AbsoluteScale: 0.00013641 + fake: 5.1067e-08 + FlavorQCD: -2.2651e-05 + Fragmentation: -5.5471e-05 + JER: -7.502e-05 + miss: 1.5181e-05 + PileUpDataMC: 8.7743e-06 + PileUpPtBB: -1.0184e-05 + PileUpPtEC1: -6.6145e-08 + PileUpPtEC2: -2.2853e-10 + PileUpPtRef: -2.7809e-06 + Pref: -2.8291e-05 + PU: 1.279e-06 + RelativeBal: 5.1914e-05 + RelativeFSR: 6.5859e-06 + RelativeJEREC1: -2.8516e-07 + RelativeJEREC2: -3.8825e-08 + RelativePtBB: 9.6784e-05 + RelativePtEC1: -2.5946e-08 + RelativePtEC2: -4.1327e-10 + RelativeSample: -0.00028568 + RelativeStatEC: -3.1103e-07 + RelativeStatFSR: 1.5602e-05 + SinglePionECAL: 6.1332e-05 + SinglePionHCAL: 3.5948e-05 + TimePtEta: 0.00040361 + Lumi: 0.0001511 + model: -4.0302e-05 +- all uncorr. unc.: 5.7317e-05 + AbsoluteMPFBias: 9.4233e-05 + AbsoluteScale: 5.7252e-05 + fake: 6.5975e-09 + FlavorQCD: -2.0773e-05 + Fragmentation: -2.3674e-05 + JER: -3.2171e-05 + miss: 6.4361e-06 + PileUpDataMC: 3.2613e-06 + PileUpPtBB: -4.5675e-06 + PileUpPtEC1: -5.2519e-08 + PileUpPtEC2: -2.0456e-10 + PileUpPtRef: 5.9368e-07 + Pref: -1.0458e-05 + PU: 4.9891e-07 + RelativeBal: 2.1866e-05 + RelativeFSR: 4.6563e-06 + RelativeJEREC1: -5.7456e-08 + RelativeJEREC2: -4.6934e-09 + RelativePtBB: 4.2861e-05 + RelativePtEC1: -1.0264e-08 + RelativePtEC2: -2.145e-10 + RelativeSample: -0.00012634 + RelativeStatEC: -1.0868e-07 + RelativeStatFSR: 6.3505e-06 + SinglePionECAL: 2.674e-05 + SinglePionHCAL: 1.6147e-05 + TimePtEta: 0.00016858 + Lumi: 5.9435e-05 + model: -2.0924e-05 +- all uncorr. unc.: 3.3057e-05 + AbsoluteMPFBias: 3.8606e-05 + AbsoluteScale: 2.3402e-05 + fake: -8.9938e-09 + FlavorQCD: -1.2558e-05 + Fragmentation: -9.6769e-06 + JER: -1.3855e-05 + miss: 2.6196e-06 + PileUpDataMC: 1.2096e-06 + PileUpPtBB: -1.9423e-06 + PileUpPtEC1: -3.3458e-08 + PileUpPtEC2: -1.6069e-10 + PileUpPtRef: 1.0075e-06 + Pref: -3.4728e-06 + PU: 1.8092e-07 + RelativeBal: 8.8677e-06 + RelativeFSR: 2.586e-06 + RelativeJEREC1: 2.6073e-08 + RelativeJEREC2: 7.0997e-09 + RelativePtBB: 1.8329e-05 + RelativePtEC1: -3.9195e-09 + RelativePtEC2: -1.1918e-10 + RelativeSample: -5.3577e-05 + RelativeStatEC: -2.7385e-08 + RelativeStatFSR: 2.4956e-06 + SinglePionECAL: 1.1198e-05 + SinglePionHCAL: 6.9572e-06 + TimePtEta: 6.8587e-05 + Lumi: 2.2572e-05 + model: -1.0587e-05 +- all uncorr. unc.: 1.8787e-05 + AbsoluteMPFBias: 1.6093e-05 + AbsoluteScale: 9.7351e-06 + fake: -1.0932e-08 + FlavorQCD: -6.7759e-06 + Fragmentation: -3.9587e-06 + JER: -6.2084e-06 + miss: 1.069e-06 + PileUpDataMC: 4.7697e-07 + PileUpPtBB: -8.2067e-07 + PileUpPtEC1: -1.9362e-08 + PileUpPtEC2: -1.1046e-10 + PileUpPtRef: 7.499e-07 + Pref: -1.1271e-06 + PU: 6.3462e-08 + RelativeBal: 3.6138e-06 + RelativeFSR: 1.3143e-06 + RelativeJEREC1: 4.1609e-08 + RelativeJEREC2: 8.4698e-09 + RelativePtBB: 7.8984e-06 + RelativePtEC1: -1.5075e-09 + RelativePtEC2: -6.8142e-11 + RelativeSample: -2.2757e-05 + RelativeStatEC: 1.1119e-08 + RelativeStatFSR: 9.8787e-07 + SinglePionECAL: 4.7045e-06 + SinglePionHCAL: 3.0027e-06 + TimePtEta: 2.8349e-05 + Lumi: 8.6357e-06 + model: -4.673e-06 +- all uncorr. unc.: 1.0467e-05 + AbsoluteMPFBias: 5.8907e-06 + AbsoluteScale: 3.5554e-06 + fake: -7.4069e-09 + FlavorQCD: -2.9489e-06 + Fragmentation: -1.4042e-06 + JER: -2.4817e-06 + miss: 3.7883e-07 + PileUpDataMC: 1.8577e-07 + PileUpPtBB: -2.9907e-07 + PileUpPtEC1: -9.1373e-09 + PileUpPtEC2: -5.9638e-11 + PileUpPtRef: 3.9415e-07 + Pref: -3.2189e-07 + PU: 1.8465e-08 + RelativeBal: 1.2809e-06 + RelativeFSR: 5.5083e-07 + RelativeJEREC1: 2.9903e-08 + RelativeJEREC2: 5.7036e-09 + RelativePtBB: 2.9682e-06 + RelativePtEC1: -6.8753e-10 + RelativePtEC2: -3.3365e-11 + RelativeSample: -8.3859e-06 + RelativeStatEC: 9.8591e-09 + RelativeStatFSR: 3.4086e-07 + SinglePionECAL: 1.7173e-06 + SinglePionHCAL: 1.1242e-06 + TimePtEta: 1.0293e-05 + Lumi: 2.8801e-06 + model: -2.5709e-06 +- all uncorr. unc.: 5.6676e-06 + AbsoluteMPFBias: 2.2991e-06 + AbsoluteScale: 1.3843e-06 + fake: -4.4778e-09 + FlavorQCD: -1.2978e-06 + Fragmentation: -5.2537e-07 + JER: -1.0659e-06 + miss: 1.418e-07 + PileUpDataMC: 8.0683e-08 + PileUpPtBB: -1.145e-07 + PileUpPtEC1: -4.3589e-09 + PileUpPtEC2: -3.1662e-11 + PileUpPtRef: 1.984e-07 + Pref: -1.5497e-07 + PU: 5.3086e-09 + RelativeBal: 4.8008e-07 + RelativeFSR: 2.3585e-07 + RelativeJEREC1: 1.8545e-08 + RelativeJEREC2: 3.4361e-09 + RelativePtBB: 1.1823e-06 + RelativePtEC1: -3.1896e-10 + RelativePtEC2: -1.6798e-11 + RelativeSample: -3.2611e-06 + RelativeStatEC: 7.5059e-09 + RelativeStatFSR: 1.2461e-07 + SinglePionECAL: 6.6245e-07 + SinglePionHCAL: 4.4405e-07 + TimePtEta: 3.9869e-06 + Lumi: 1.0178e-06 + model: -7.3344e-07 +- all uncorr. unc.: 2.9592e-06 + AbsoluteMPFBias: 7.8061e-07 + AbsoluteScale: 4.6881e-07 + fake: -2.1276e-09 + FlavorQCD: -4.7911e-07 + Fragmentation: -1.6948e-07 + JER: -3.9875e-07 + miss: 4.5825e-08 + PileUpDataMC: 3.1206e-08 + PileUpPtBB: -3.7675e-08 + PileUpPtEC1: -1.7373e-09 + PileUpPtEC2: -1.3769e-11 + PileUpPtRef: 8.1348e-08 + Pref: -3.7949e-08 + PU: 1.1749e-09 + RelativeBal: 1.5544e-07 + RelativeFSR: 8.517e-08 + RelativeJEREC1: 8.9395e-09 + RelativeJEREC2: 1.6288e-09 + RelativePtBB: 4.0757e-07 + RelativePtEC1: -1.2252e-10 + RelativePtEC2: -7.0943e-12 + RelativeSample: -1.0937e-06 + RelativeStatEC: 3.9804e-09 + RelativeStatFSR: 3.9424e-08 + SinglePionECAL: 2.2066e-07 + SinglePionHCAL: 1.5121e-07 + TimePtEta: 1.344e-06 + Lumi: 3.1132e-07 + model: -5.6281e-07 +- all uncorr. unc.: 1.3635e-06 + AbsoluteMPFBias: 1.8442e-07 + AbsoluteScale: 1.1048e-07 + fake: -6.5729e-10 + FlavorQCD: -1.1988e-07 + Fragmentation: -3.7779e-08 + JER: -1.0345e-07 + miss: 1.0246e-08 + PileUpDataMC: 8.4544e-09 + PileUpPtBB: -8.5439e-09 + PileUpPtEC1: -4.6678e-10 + PileUpPtEC2: -3.9782e-12 + PileUpPtRef: 2.2184e-08 + Pref: -4.2878e-10 + PU: 2.4655e-10 + RelativeBal: 3.4831e-08 + RelativeFSR: 2.0909e-08 + RelativeJEREC1: 2.7877e-09 + RelativeJEREC2: 5.023e-10 + RelativePtBB: 9.7358e-08 + RelativePtEC1: -3.1615e-11 + RelativePtEC2: -2.0173e-12 + RelativeSample: -2.5347e-07 + RelativeStatEC: 1.3114e-09 + RelativeStatFSR: 8.6465e-09 + SinglePionECAL: 5.0847e-08 + SinglePionHCAL: 3.5562e-08 + TimePtEta: 3.1544e-07 + Lumi: 6.6029e-08 + model: -8.4759e-08 +- all uncorr. unc.: 45.355 + AbsoluteMPFBias: 95.815 + AbsoluteScale: 53.627 + fake: -0.93109 + FlavorQCD: 270.87 + Fragmentation: 22.511 + JER: -206.94 + miss: 7.9369 + PileUpDataMC: 46.593 + PileUpPtBB: 29.878 + PileUpPtEC1: 11.905 + PileUpPtEC2: -0.02466 + PileUpPtRef: 16.519 + Pref: -19.471 + PU: -3.1584 + RelativeBal: -69.818 + RelativeFSR: -28.381 + RelativeJEREC1: 24.649 + RelativeJEREC2: -1.3899 + RelativePtBB: -13.322 + RelativePtEC1: -0.93 + RelativePtEC2: -0.01319 + RelativeSample: 171.84 + RelativeStatEC: -8.26 + RelativeStatFSR: 8.3191 + SinglePionECAL: -27.856 + SinglePionHCAL: -9.5764 + TimePtEta: 172.17 + Lumi: 95.797 + model: 37.386 +- all uncorr. unc.: 10.997 + AbsoluteMPFBias: 20.552 + AbsoluteScale: 12.995 + fake: -0.027672 + FlavorQCD: 53.004 + Fragmentation: 3.3754 + JER: -34.101 + miss: 0.96482 + PileUpDataMC: 8.0215 + PileUpPtBB: 3.0931 + PileUpPtEC1: 1.2521 + PileUpPtEC2: -0.0032061 + PileUpPtRef: 2.7301 + Pref: -6.607 + PU: -0.50701 + RelativeBal: -9.5099 + RelativeFSR: -1.2768 + RelativeJEREC1: 5.0553 + RelativeJEREC2: -0.041673 + RelativePtBB: -1.5457 + RelativePtEC1: -0.087339 + RelativePtEC2: -0.0014983 + RelativeSample: 27.664 + RelativeStatEC: 0.9645 + RelativeStatFSR: 1.7675 + SinglePionECAL: -4.31 + SinglePionHCAL: -1.6558 + TimePtEta: 40.584 + Lumi: 21.578 + model: 0.11813 +- all uncorr. unc.: 2.5758 + AbsoluteMPFBias: 6.1824 + AbsoluteScale: 3.9043 + fake: 0.007102 + FlavorQCD: 14.109 + Fragmentation: 0.52898 + JER: -8.2391 + miss: 0.18026 + PileUpDataMC: 1.9065 + PileUpPtBB: 0.263 + PileUpPtEC1: 0.081494 + PileUpPtEC2: -0.00072056 + PileUpPtRef: 0.6253 + Pref: -2.6749 + PU: -0.095144 + RelativeBal: -1.5125 + RelativeFSR: 0.19711 + RelativeJEREC1: 1.3689 + RelativeJEREC2: 0.010624 + RelativePtBB: 0.17932 + RelativePtEC1: 0.010148 + RelativePtEC2: -0.00017262 + RelativeSample: 4.2378 + RelativeStatEC: 0.4163 + RelativeStatFSR: 0.47852 + SinglePionECAL: -0.72326 + SinglePionHCAL: -0.30946 + TimePtEta: 11.797 + Lumi: 5.9778 + model: 0.93484 +- all uncorr. unc.: 0.91682 + AbsoluteMPFBias: 1.9206 + AbsoluteScale: 1.1842 + fake: 0.0023591 + FlavorQCD: 3.714 + Fragmentation: 0.049641 + JER: -2.1984 + miss: 0.048391 + PileUpDataMC: 0.45792 + PileUpPtBB: -0.039459 + PileUpPtEC1: -0.02814 + PileUpPtEC2: -0.00016969 + PileUpPtRef: 0.13388 + Pref: -0.93372 + PU: -0.016278 + RelativeBal: -0.094342 + RelativeFSR: 0.12482 + RelativeJEREC1: 0.38009 + RelativeJEREC2: 0.0035707 + RelativePtBB: 0.14796 + RelativePtEC1: 0.010913 + RelativePtEC2: -9.6884e-06 + RelativeSample: 0.24292 + RelativeStatEC: 0.15894 + RelativeStatFSR: 0.1462 + SinglePionECAL: -0.090229 + SinglePionHCAL: -0.028994 + TimePtEta: 3.6506 + Lumi: 1.7755 + model: 0.60454 +- all uncorr. unc.: 0.29716 + AbsoluteMPFBias: 0.64836 + AbsoluteScale: 0.3915 + fake: 0.00041866 + FlavorQCD: 1.0431 + Fragmentation: -0.015788 + JER: -0.70196 + miss: 0.017662 + PileUpDataMC: 0.11713 + PileUpPtBB: -0.0389 + PileUpPtEC1: -0.020082 + PileUpPtEC2: -4.2526e-05 + PileUpPtRef: 0.025385 + Pref: -0.32764 + PU: -0.0017727 + RelativeBal: 0.083593 + RelativeFSR: 0.060804 + RelativeJEREC1: 0.11074 + RelativeJEREC2: 0.00064975 + RelativePtBB: 0.076581 + RelativePtEC1: 0.0059431 + RelativePtEC2: 4.3413e-06 + RelativeSample: -0.23601 + RelativeStatEC: 0.058044 + RelativeStatFSR: 0.051031 + SinglePionECAL: 0.0075685 + SinglePionHCAL: 0.010468 + TimePtEta: 1.2433 + Lumi: 0.58335 + model: 0.22442 +- all uncorr. unc.: 0.091159 + AbsoluteMPFBias: 0.22753 + AbsoluteScale: 0.13577 + fake: 1.0837e-05 + FlavorQCD: 0.3012 + Fragmentation: -0.015573 + JER: -0.23691 + miss: 0.0072562 + PileUpDataMC: 0.030852 + PileUpPtBB: -0.019342 + PileUpPtEC1: -0.0089329 + PileUpPtEC2: -1.0411e-05 + PileUpPtRef: 0.0025955 + Pref: -0.10983 + PU: 0.00096086 + RelativeBal: 0.062952 + RelativeFSR: 0.027126 + RelativeJEREC1: 0.033268 + RelativeJEREC2: 2.5399e-05 + RelativePtBB: 0.037953 + RelativePtEC1: 0.0027849 + RelativePtEC2: 2.6251e-06 + RelativeSample: -0.17746 + RelativeStatEC: 0.021409 + RelativeStatFSR: 0.01846 + SinglePionECAL: 0.014373 + SinglePionHCAL: 0.0094942 + TimePtEta: 0.44051 + Lumi: 0.20019 + model: 0.058844 +- all uncorr. unc.: 0.032317 + AbsoluteMPFBias: 0.084484 + AbsoluteScale: 0.050351 + fake: -2.7569e-05 + FlavorQCD: 0.091939 + Fragmentation: -0.0090862 + JER: -0.084194 + miss: 0.0031615 + PileUpDataMC: 0.0088148 + PileUpPtBB: -0.0083632 + PileUpPtEC1: -0.00349 + PileUpPtEC2: -2.35e-06 + PileUpPtRef: -0.0010142 + Pref: -0.032667 + PU: 0.00076345 + RelativeBal: 0.035064 + RelativeFSR: 0.01218 + RelativeJEREC1: 0.011003 + RelativeJEREC2: -3.8268e-05 + RelativePtBB: 0.017914 + RelativePtEC1: 0.0012613 + RelativePtEC2: 1.0346e-06 + RelativeSample: -0.098092 + RelativeStatEC: 0.0083335 + RelativeStatFSR: 0.0070048 + SinglePionECAL: 0.0092019 + SinglePionHCAL: 0.0052311 + TimePtEta: 0.1642 + Lumi: 0.072478 + model: 0.011521 +- all uncorr. unc.: 0.012936 + AbsoluteMPFBias: 0.032344 + AbsoluteScale: 0.01938 + fake: -1.3552e-05 + FlavorQCD: 0.029044 + Fragmentation: -0.0045464 + JER: -0.030403 + miss: 0.0013771 + PileUpDataMC: 0.0026929 + PileUpPtBB: -0.0033068 + PileUpPtEC1: -0.0012384 + PileUpPtEC2: -4.8716e-07 + PileUpPtRef: -0.00095182 + Pref: -0.0097246 + PU: 0.00042547 + RelativeBal: 0.017413 + RelativeFSR: 0.0052976 + RelativeJEREC1: 0.0037127 + RelativeJEREC2: -1.9526e-05 + RelativePtBB: 0.0081098 + RelativePtEC1: 0.00055298 + RelativePtEC2: 3.3974e-07 + RelativeSample: -0.048458 + RelativeStatEC: 0.0033528 + RelativeStatFSR: 0.0026966 + SinglePionECAL: 0.0047796 + SinglePionHCAL: 0.002543 + TimePtEta: 0.062233 + Lumi: 0.026751 + model: 0.0016197 +- all uncorr. unc.: 0.0042342 + AbsoluteMPFBias: 0.012975 + AbsoluteScale: 0.0078505 + fake: -3.7496e-06 + FlavorQCD: 0.0092846 + Fragmentation: -0.002189 + JER: -0.011479 + miss: 0.0006129 + PileUpDataMC: 0.00087112 + PileUpPtBB: -0.001223 + PileUpPtEC1: -0.0004081 + PileUpPtEC2: 1.5393e-07 + PileUpPtRef: -0.00052716 + Pref: -0.0031179 + PU: 0.00021656 + RelativeBal: 0.0085111 + RelativeFSR: 0.0022707 + RelativeJEREC1: 0.001304 + RelativeJEREC2: -5.5e-06 + RelativePtBB: 0.0037271 + RelativePtEC1: 0.00024517 + RelativePtEC2: 1.0013e-07 + RelativeSample: -0.02356 + RelativeStatEC: 0.0014002 + RelativeStatFSR: 0.0010803 + SinglePionECAL: 0.0023487 + SinglePionHCAL: 0.0012591 + TimePtEta: 0.024591 + Lumi: 0.010314 + model: -0.00091574 +- all uncorr. unc.: 0.0017149 + AbsoluteMPFBias: 0.0051333 + AbsoluteScale: 0.0031303 + fake: -1.8191e-07 + FlavorQCD: 0.0027516 + Fragmentation: -0.000982 + JER: -0.0042739 + miss: 0.00026157 + PileUpDataMC: 0.00028413 + PileUpPtBB: -0.0003858 + PileUpPtEC1: -0.00011255 + PileUpPtEC2: 7.7437e-08 + PileUpPtRef: -0.00023971 + Pref: -0.00096932 + PU: 0.00010052 + RelativeBal: 0.0039701 + RelativeFSR: 0.00094537 + RelativeJEREC1: 0.00044969 + RelativeJEREC2: -2.988e-07 + RelativePtBB: 0.0016546 + RelativePtEC1: 0.0001039 + RelativePtEC2: 2.4431e-08 + RelativeSample: -0.010957 + RelativeStatEC: 0.00056813 + RelativeStatFSR: 0.00042171 + SinglePionECAL: 0.0010673 + SinglePionHCAL: 0.00057938 + TimePtEta: 0.0094807 + Lumi: 0.0038865 + model: -0.00079794 +- all uncorr. unc.: 0.00075599 + AbsoluteMPFBias: 0.0021363 + AbsoluteScale: 0.0013084 + fake: 4.7282e-07 + FlavorQCD: 0.00081573 + Fragmentation: -0.00045357 + JER: -0.0016956 + miss: 0.00011417 + PileUpDataMC: 0.0001046 + PileUpPtBB: -9.8708e-05 + PileUpPtEC1: -2.2752e-05 + PileUpPtEC2: 5.4407e-08 + PileUpPtRef: -9.8434e-05 + Pref: -0.00034614 + PU: 4.6409e-05 + RelativeBal: 0.0019134 + RelativeFSR: 0.00040624 + RelativeJEREC1: 0.0001658 + RelativeJEREC2: 6.7668e-07 + RelativePtBB: 0.00076746 + RelativePtEC1: 4.4971e-05 + RelativePtEC2: 4.9341e-09 + RelativeSample: -0.0052018 + RelativeStatEC: 0.00023775 + RelativeStatFSR: 0.00017056 + SinglePionECAL: 0.00048938 + SinglePionHCAL: 0.00026762 + TimePtEta: 0.003792 + Lumi: 0.0015216 + model: -0.00042656 +- all uncorr. unc.: 0.00034751 + AbsoluteMPFBias: 0.00084701 + AbsoluteScale: 0.00051838 + fake: 3.167e-07 + FlavorQCD: 0.00019573 + Fragmentation: -0.00019337 + JER: -0.00065615 + miss: 4.6532e-05 + PileUpDataMC: 3.6587e-05 + PileUpPtBB: -8.1538e-06 + PileUpPtEC1: 1.7744e-06 + PileUpPtEC2: 2.8687e-08 + PileUpPtRef: -3.3067e-05 + Pref: -0.00010743 + PU: 1.9667e-05 + RelativeBal: 0.00085529 + RelativeFSR: 0.00016302 + RelativeJEREC1: 5.6385e-05 + RelativeJEREC2: 4.599e-07 + RelativePtBB: 0.00033438 + RelativePtEC1: 1.8152e-05 + RelativePtEC2: 6.6654e-10 + RelativeSample: -0.0023081 + RelativeStatEC: 9.2427e-05 + RelativeStatFSR: 6.5795e-05 + SinglePionECAL: 0.00020791 + SinglePionHCAL: 0.000114 + TimePtEta: 0.0014303 + Lumi: 0.00056246 + model: -0.00021984 +- all uncorr. unc.: 0.00017021 + AbsoluteMPFBias: 0.00034724 + AbsoluteScale: 0.0002107 + fake: 1.1752e-07 + FlavorQCD: 2.5718e-05 + Fragmentation: -8.3101e-05 + JER: -0.00026267 + miss: 1.9314e-05 + PileUpDataMC: 1.2582e-05 + PileUpPtBB: 1.1585e-05 + PileUpPtEC1: 4.7098e-06 + PileUpPtEC2: 1.403e-08 + PileUpPtRef: -9.0551e-06 + Pref: -3.922e-05 + PU: 8.3801e-06 + RelativeBal: 0.00038681 + RelativeFSR: 6.6942e-05 + RelativeJEREC1: 1.854e-05 + RelativeJEREC2: 1.7232e-07 + RelativePtBB: 0.00014821 + RelativePtEC1: 7.4444e-06 + RelativePtEC2: 3.026e-10 + RelativeSample: -0.0010442 + RelativeStatEC: 3.6931e-05 + RelativeStatFSR: 2.6453e-05 + SinglePionECAL: 8.8985e-05 + SinglePionHCAL: 5.1078e-05 + TimePtEta: 0.00055506 + Lumi: 0.00021325 + model: -8.3483e-05 +- all uncorr. unc.: 8.82e-05 + AbsoluteMPFBias: 0.00013139 + AbsoluteScale: 7.8856e-05 + fake: 7.9727e-09 + FlavorQCD: -1.2318e-05 + Fragmentation: -3.2302e-05 + JER: -0.00010185 + miss: 7.3186e-06 + PileUpDataMC: 3.5304e-06 + PileUpPtBB: 1.0495e-05 + PileUpPtEC1: 3.3045e-06 + PileUpPtEC2: 5.9408e-09 + PileUpPtRef: -1.1478e-06 + Pref: -1.301e-05 + PU: 3.2252e-06 + RelativeBal: 0.00015851 + RelativeFSR: 2.7056e-05 + RelativeJEREC1: 5.3279e-06 + RelativeJEREC2: 1.2606e-08 + RelativePtBB: 6.0694e-05 + RelativePtEC1: 2.7781e-06 + RelativePtEC2: 1.8184e-10 + RelativeSample: -0.00043118 + RelativeStatEC: 1.3479e-05 + RelativeStatFSR: 9.7504e-06 + SinglePionECAL: 3.4439e-05 + SinglePionHCAL: 2.1964e-05 + TimePtEta: 0.00020363 + Lumi: 7.4157e-05 + model: -3.0795e-05 +- all uncorr. unc.: 4.6635e-05 + AbsoluteMPFBias: 5.0498e-05 + AbsoluteScale: 2.9649e-05 + fake: -2.4145e-08 + FlavorQCD: -1.3455e-05 + Fragmentation: -1.2422e-05 + JER: -4.0871e-05 + miss: 2.7683e-06 + PileUpDataMC: 1.1435e-06 + PileUpPtBB: 6.4202e-06 + PileUpPtEC1: 1.7887e-06 + PileUpPtEC2: 2.4251e-09 + PileUpPtRef: 6.9439e-07 + Pref: -3.8814e-06 + PU: 1.227e-06 + RelativeBal: 6.4802e-05 + RelativeFSR: 1.1297e-05 + RelativeJEREC1: 1.5988e-06 + RelativeJEREC2: -3.464e-08 + RelativePtBB: 2.5003e-05 + RelativePtEC1: 1.0304e-06 + RelativePtEC2: 1.5148e-10 + RelativeSample: -0.0001774 + RelativeStatEC: 4.9037e-06 + RelativeStatFSR: 3.5924e-06 + SinglePionECAL: 1.3185e-05 + SinglePionHCAL: 9.5037e-06 + TimePtEta: 7.5517e-05 + Lumi: 2.5799e-05 + model: -7.2003e-06 +- all uncorr. unc.: 2.4573e-05 + AbsoluteMPFBias: 1.7231e-05 + AbsoluteScale: 9.7848e-06 + fake: -2.1628e-08 + FlavorQCD: -7.6437e-06 + Fragmentation: -4.1491e-06 + JER: -1.476e-05 + miss: 9.1751e-07 + PileUpDataMC: -3.3721e-07 + PileUpPtBB: 3.0011e-06 + PileUpPtEC1: 7.5721e-07 + PileUpPtEC2: 8.458e-10 + PileUpPtRef: 6.5027e-07 + Pref: -1.212e-06 + PU: 4.0528e-07 + RelativeBal: 2.3412e-05 + RelativeFSR: 4.2383e-06 + RelativeJEREC1: -4.118e-07 + RelativeJEREC2: -3.1324e-08 + RelativePtBB: 9.0291e-06 + RelativePtEC1: 3.3312e-07 + RelativePtEC2: 9.7424e-11 + RelativeSample: -6.3755e-05 + RelativeStatEC: 1.5588e-06 + RelativeStatFSR: 1.1589e-06 + SinglePionECAL: 4.3842e-06 + SinglePionHCAL: 3.6096e-06 + TimePtEta: 2.4795e-05 + Lumi: 7.8659e-06 + model: -1.3823e-06 +- all uncorr. unc.: 1.2507e-05 + AbsoluteMPFBias: 5.4669e-06 + AbsoluteScale: 2.9821e-06 + fake: -1.2189e-08 + FlavorQCD: -3.3884e-06 + Fragmentation: -1.2693e-06 + JER: -5.0055e-06 + miss: 2.8096e-07 + PileUpDataMC: -1.0684e-07 + PileUpPtBB: 1.1955e-06 + PileUpPtEC1: 2.7712e-07 + PileUpPtEC2: 2.6716e-10 + PileUpPtRef: 3.4145e-07 + Pref: -3.6891e-07 + PU: 1.2257e-07 + RelativeBal: 7.7741e-06 + RelativeFSR: 1.4901e-06 + RelativeJEREC1: -1.4349e-07 + RelativeJEREC2: -1.7715e-08 + RelativePtBB: 3.0054e-06 + RelativePtEC1: 9.8921e-08 + RelativePtEC2: 4.8554e-11 + RelativeSample: -2.1076e-05 + RelativeStatEC: 4.56e-07 + RelativeStatFSR: 3.4457e-07 + SinglePionECAL: 1.3352e-06 + SinglePionHCAL: 1.2623e-06 + TimePtEta: 7.5821e-06 + Lumi: 2.2127e-06 + model: 3.8786e-07 +- all uncorr. unc.: 6.2512e-06 + AbsoluteMPFBias: 1.5334e-06 + AbsoluteScale: 7.9916e-07 + fake: -5.1418e-09 + FlavorQCD: -1.2134e-06 + Fragmentation: -3.3921e-07 + JER: -1.5067e-06 + miss: 7.5808e-08 + PileUpDataMC: -6.0635e-08 + PileUpPtBB: 3.981e-07 + PileUpPtEC1: 8.5457e-08 + PileUpPtEC2: 7.3136e-11 + PileUpPtRef: 1.3316e-07 + Pref: -1.0239e-07 + PU: 3.2379e-08 + RelativeBal: 2.2598e-06 + RelativeFSR: 4.6386e-07 + RelativeJEREC1: -7.7224e-08 + RelativeJEREC2: -7.4871e-09 + RelativePtBB: 8.7752e-07 + RelativePtEC1: 2.5719e-08 + RelativePtEC2: 1.908e-11 + RelativeSample: -6.108e-06 + RelativeStatEC: 1.1698e-07 + RelativeStatFSR: 8.995e-08 + SinglePionECAL: 3.5527e-07 + SinglePionHCAL: 3.8628e-07 + TimePtEta: 2.0549e-06 + Lumi: 5.4704e-07 + model: 2.66e-07 +- all uncorr. unc.: 2.6561e-06 + AbsoluteMPFBias: 4.8605e-07 + AbsoluteScale: 2.4106e-07 + fake: -2.2242e-09 + FlavorQCD: -4.6409e-07 + Fragmentation: -1.015e-07 + JER: -5.1218e-07 + miss: 2.3097e-08 + PileUpDataMC: -2.9508e-08 + PileUpPtBB: 1.4408e-07 + PileUpPtEC1: 2.8787e-08 + PileUpPtEC2: 2.2287e-11 + PileUpPtRef: 5.3505e-08 + Pref: 6.6832e-09 + PU: 9.5766e-09 + RelativeBal: 7.3614e-07 + RelativeFSR: 1.6263e-07 + RelativeJEREC1: -3.6322e-08 + RelativeJEREC2: -3.2429e-09 + RelativePtBB: 2.8756e-07 + RelativePtEC1: 7.5015e-09 + RelativePtEC2: 7.8407e-12 + RelativeSample: -1.9874e-06 + RelativeStatEC: 3.3707e-08 + RelativeStatFSR: 2.6399e-08 + SinglePionECAL: 1.0584e-07 + SinglePionHCAL: 1.3224e-07 + TimePtEta: 6.3123e-07 + Lumi: 1.522e-07 + model: 2.1914e-07 +- all uncorr. unc.: 37.907 + AbsoluteMPFBias: 81.279 + AbsoluteScale: 48.536 + fake: -1.0574 + FlavorQCD: 224.46 + Fragmentation: 21.135 + JER: -173.99 + miss: 7.5011 + PileUpDataMC: 34.363 + PileUpPtBB: -3.3362 + PileUpPtEC1: 31.192 + PileUpPtEC2: -0.23154 + PileUpPtRef: 14.113 + Pref: -15.766 + PU: 18.741 + RelativeBal: -55.671 + RelativeFSR: -62.042 + RelativeJEREC1: 82.362 + RelativeJEREC2: -3.9539 + RelativePtBB: -0.64558 + RelativePtEC1: -1.0138 + RelativePtEC2: -0.070203 + RelativeSample: -137.57 + RelativeStatEC: 39.833 + RelativeStatFSR: 10.567 + SinglePionECAL: -27.673 + SinglePionHCAL: -8.0306 + TimePtEta: 140.53 + Lumi: 76.778 + model: 6.8265 +- all uncorr. unc.: 8.5995 + AbsoluteMPFBias: 17.371 + AbsoluteScale: 10.887 + fake: -0.020923 + FlavorQCD: 43.873 + Fragmentation: 2.9117 + JER: -28.763 + miss: 1.0145 + PileUpDataMC: 5.5323 + PileUpPtBB: -0.078782 + PileUpPtEC1: 3.2929 + PileUpPtEC2: -0.003946 + PileUpPtRef: 2.2744 + Pref: -5.172 + PU: 3.4179 + RelativeBal: -10.426 + RelativeFSR: -9.2763 + RelativeJEREC1: 17.108 + RelativeJEREC2: -0.13101 + RelativePtBB: 0.022809 + RelativePtEC1: -0.46808 + RelativePtEC2: -0.0041136 + RelativeSample: -24.975 + RelativeStatEC: 10.054 + RelativeStatFSR: 2.1636 + SinglePionECAL: -4.2509 + SinglePionHCAL: -1.5313 + TimePtEta: 34.801 + Lumi: 17.206 + model: -2.6819 +- all uncorr. unc.: 1.9333 + AbsoluteMPFBias: 4.9173 + AbsoluteScale: 3.1348 + fake: 0.0086221 + FlavorQCD: 10.487 + Fragmentation: 0.42602 + JER: -6.6389 + miss: 0.21094 + PileUpDataMC: 1.1532 + PileUpPtBB: 0.02367 + PileUpPtEC1: 0.43628 + PileUpPtEC2: 0.0020891 + PileUpPtRef: 0.48869 + Pref: -1.9775 + PU: 0.77956 + RelativeBal: -2.5713 + RelativeFSR: -1.161 + RelativeJEREC1: 4.2968 + RelativeJEREC2: 0.022558 + RelativePtBB: 0.00936 + RelativePtEC1: -0.047147 + RelativePtEC2: -0.00038828 + RelativeSample: -6.6507 + RelativeStatEC: 3.0664 + RelativeStatFSR: 0.59845 + SinglePionECAL: -0.68677 + SinglePionHCAL: -0.26639 + TimePtEta: 10.178 + Lumi: 4.6098 + model: -0.022408 +- all uncorr. unc.: 0.6698 + AbsoluteMPFBias: 1.4913 + AbsoluteScale: 0.91782 + fake: 0.0021128 + FlavorQCD: 2.7735 + Fragmentation: 0.044118 + JER: -1.7634 + miss: 0.058674 + PileUpDataMC: 0.26281 + PileUpPtBB: 0.0063519 + PileUpPtEC1: 0.0098572 + PileUpPtEC2: 0.00051798 + PileUpPtRef: 0.10119 + Pref: -0.69752 + PU: 0.20321 + RelativeBal: -0.56553 + RelativeFSR: 0.077179 + RelativeJEREC1: 1.1904 + RelativeJEREC2: 0.0053665 + RelativePtBB: 0.0027159 + RelativePtEC1: 0.023066 + RelativePtEC2: -0.00018474 + RelativeSample: -2.0984 + RelativeStatEC: 1.0028 + RelativeStatFSR: 0.18583 + SinglePionECAL: -0.083183 + SinglePionHCAL: -0.033507 + TimePtEta: 3.0537 + Lumi: 1.3512 + model: 0.1836 +- all uncorr. unc.: 0.20481 + AbsoluteMPFBias: 0.48668 + AbsoluteScale: 0.29821 + fake: 0.00019174 + FlavorQCD: 0.78331 + Fragmentation: -0.01075 + JER: -0.56591 + miss: 0.019507 + PileUpDataMC: 0.061771 + PileUpPtBB: 0.00080562 + PileUpPtEC1: -0.029682 + PileUpPtEC2: 5.2803e-05 + PileUpPtRef: 0.018493 + Pref: -0.22054 + PU: 0.059755 + RelativeBal: -0.11567 + RelativeFSR: 0.15306 + RelativeJEREC1: 0.35882 + RelativeJEREC2: -0.0010587 + RelativePtBB: -0.00079042 + RelativePtEC1: 0.017128 + RelativePtEC2: -6.159e-05 + RelativeSample: -0.72199 + RelativeStatEC: 0.35083 + RelativeStatFSR: 0.062006 + SinglePionECAL: 0.013976 + SinglePionHCAL: 0.011011 + TimePtEta: 0.97892 + Lumi: 0.4281 + model: 0.016394 +- all uncorr. unc.: 0.059596 + AbsoluteMPFBias: 0.16974 + AbsoluteScale: 0.10366 + fake: -6.8998e-05 + FlavorQCD: 0.22846 + Fragmentation: -0.011107 + JER: -0.18974 + miss: 0.0070132 + PileUpDataMC: 0.015711 + PileUpPtBB: -0.0002099 + PileUpPtEC1: -0.018183 + PileUpPtEC2: -1.3647e-05 + PileUpPtRef: 0.0020493 + Pref: -0.067621 + PU: 0.019172 + RelativeBal: -0.023192 + RelativeFSR: 0.092569 + RelativeJEREC1: 0.11399 + RelativeJEREC2: -0.00043232 + RelativePtBB: -0.0003916 + RelativePtEC1: 0.0078202 + RelativePtEC2: -1.6243e-05 + RelativeSample: -0.25732 + RelativeStatEC: 0.12792 + RelativeStatFSR: 0.021464 + SinglePionECAL: 0.014003 + SinglePionHCAL: 0.0081834 + TimePtEta: 0.33204 + Lumi: 0.1422 + model: -0.024917 +- all uncorr. unc.: 0.019736 + AbsoluteMPFBias: 0.061285 + AbsoluteScale: 0.037366 + fake: -4.1932e-05 + FlavorQCD: 0.067341 + Fragmentation: -0.006494 + JER: -0.064939 + miss: 0.002607 + PileUpDataMC: 0.0043861 + PileUpPtBB: -6.416e-05 + PileUpPtEC1: -0.0080085 + PileUpPtEC2: -9.6368e-06 + PileUpPtRef: -0.00084953 + Pref: -0.01852 + PU: 0.0065714 + RelativeBal: -0.0027786 + RelativeFSR: 0.04645 + RelativeJEREC1: 0.037509 + RelativeJEREC2: -0.00019306 + RelativePtBB: -0.00017166 + RelativePtEC1: 0.0030808 + RelativePtEC2: -3.6203e-06 + RelativeSample: -0.093779 + RelativeStatEC: 0.048161 + RelativeStatFSR: 0.0076212 + SinglePionECAL: 0.0077935 + SinglePionHCAL: 0.004042 + TimePtEta: 0.1181 + Lumi: 0.048711 + model: -0.013735 +- all uncorr. unc.: 0.0075419 + AbsoluteMPFBias: 0.022307 + AbsoluteScale: 0.0136 + fake: -1.1652e-05 + FlavorQCD: 0.019359 + Fragmentation: -0.0032075 + JER: -0.022176 + miss: 0.00096514 + PileUpDataMC: 0.0012627 + PileUpPtBB: 1.9509e-05 + PileUpPtEC1: -0.0029417 + PileUpPtEC2: -2.9998e-06 + PileUpPtRef: -0.00065894 + Pref: -0.0048923 + PU: 0.0023206 + RelativeBal: 0.00099305 + RelativeFSR: 0.021401 + RelativeJEREC1: 0.012495 + RelativeJEREC2: -5.1757e-05 + RelativePtBB: -7.0804e-05 + RelativePtEC1: 0.0011352 + RelativePtEC2: -1.0928e-06 + RelativeSample: -0.033961 + RelativeStatEC: 0.018236 + RelativeStatFSR: 0.0027526 + SinglePionECAL: 0.0037483 + SinglePionHCAL: 0.0018466 + TimePtEta: 0.042732 + Lumi: 0.0167 + model: -0.0069165 +- all uncorr. unc.: 0.0021294 + AbsoluteMPFBias: 0.0082827 + AbsoluteScale: 0.0050601 + fake: -1.0569e-06 + FlavorQCD: 0.0055052 + Fragmentation: -0.0014561 + JER: -0.007723 + miss: 0.00035972 + PileUpDataMC: 0.00037746 + PileUpPtBB: 9.9859e-06 + PileUpPtEC1: -0.00095091 + PileUpPtEC2: -4.5834e-07 + PileUpPtRef: -0.00033828 + Pref: -0.0014755 + PU: 0.00084526 + RelativeBal: 0.00087047 + RelativeFSR: 0.0095666 + RelativeJEREC1: 0.0042059 + RelativeJEREC2: -6.2609e-06 + RelativePtBB: -3.259e-05 + RelativePtEC1: 0.00048635 + RelativePtEC2: -3.6018e-07 + RelativeSample: -0.012339 + RelativeStatEC: 0.0070211 + RelativeStatFSR: 0.0010328 + SinglePionECAL: 0.0016494 + SinglePionHCAL: 0.00084881 + TimePtEta: 0.015797 + Lumi: 0.0057751 + model: -0.0022275 +- all uncorr. unc.: 0.00075475 + AbsoluteMPFBias: 0.0030108 + AbsoluteScale: 0.0018706 + fake: 7.8159e-07 + FlavorQCD: 0.0014208 + Fragmentation: -0.00059867 + JER: -0.002649 + miss: 0.0001287 + PileUpDataMC: 0.00012197 + PileUpPtBB: 6.0933e-06 + PileUpPtEC1: -0.00025718 + PileUpPtEC2: 2.251e-07 + PileUpPtRef: -0.00013545 + Pref: -0.00041171 + PU: 0.00029919 + RelativeBal: 0.00048443 + RelativeFSR: 0.0040408 + RelativeJEREC1: 0.0013544 + RelativeJEREC2: 2.1872e-06 + RelativePtBB: -1.7149e-05 + RelativePtEC1: 0.0001954 + RelativePtEC2: -1.135e-07 + RelativeSample: -0.0042682 + RelativeStatEC: 0.0026289 + RelativeStatFSR: 0.00036986 + SinglePionECAL: 0.00065712 + SinglePionHCAL: 0.00035185 + TimePtEta: 0.0056289 + Lumi: 0.0019097 + model: -0.00050102 +- all uncorr. unc.: 0.00030413 + AbsoluteMPFBias: 0.0010849 + AbsoluteScale: 0.00067503 + fake: 4.6336e-07 + FlavorQCD: 0.00031311 + Fragmentation: -0.00023538 + JER: -0.00092225 + miss: 4.5338e-05 + PileUpDataMC: 3.9338e-05 + PileUpPtBB: 2.0723e-06 + PileUpPtEC1: -4.3823e-05 + PileUpPtEC2: 9.7483e-08 + PileUpPtRef: -4.518e-05 + Pref: -0.00012594 + PU: 0.0001044 + RelativeBal: 0.00021904 + RelativeFSR: 0.0016447 + RelativeJEREC1: 0.00042582 + RelativeJEREC2: 1.5207e-06 + RelativePtBB: -8.3191e-06 + RelativePtEC1: 7.4563e-05 + RelativePtEC2: -3.49e-08 + RelativeSample: -0.001512 + RelativeStatEC: 0.00097226 + RelativeStatFSR: 0.00012887 + SinglePionECAL: 0.00024638 + SinglePionHCAL: 0.00013679 + TimePtEta: 0.0019621 + Lumi: 0.0006162 + model: -3.0773e-05 +- all uncorr. unc.: 0.00012809 + AbsoluteMPFBias: 0.00037308 + AbsoluteScale: 0.00022944 + fake: 9.4794e-08 + FlavorQCD: 4.9969e-05 + Fragmentation: -8.6102e-05 + JER: -0.00031855 + miss: 1.5328e-05 + PileUpDataMC: 1.1276e-05 + PileUpPtBB: 2.0727e-07 + PileUpPtEC1: 8.5561e-06 + PileUpPtEC2: 1.8256e-08 + PileUpPtRef: -1.1957e-05 + Pref: -3.2421e-05 + PU: 3.4704e-05 + RelativeBal: 8.599e-05 + RelativeFSR: 0.0006254 + RelativeJEREC1: 0.00012674 + RelativeJEREC2: 3.2293e-07 + RelativePtBB: -3.6313e-06 + RelativePtEC1: 2.6453e-05 + RelativePtEC2: -1.0151e-08 + RelativeSample: -0.00055085 + RelativeStatEC: 0.00034117 + RelativeStatFSR: 4.2382e-05 + SinglePionECAL: 9.225e-05 + SinglePionHCAL: 5.0648e-05 + TimePtEta: 0.00064665 + Lumi: 0.00018817 + model: 9.131e-05 +- all uncorr. unc.: 5.6196e-05 + AbsoluteMPFBias: 0.00011584 + AbsoluteScale: 6.944e-05 + fake: -3.7315e-08 + FlavorQCD: 4.3992e-06 + Fragmentation: -2.7852e-05 + JER: -0.00010354 + miss: 4.7319e-06 + PileUpDataMC: 2.469e-06 + PileUpPtBB: -2.4852e-07 + PileUpPtEC1: 9.4242e-06 + PileUpPtEC2: -7.3072e-09 + PileUpPtRef: -2.2188e-06 + Pref: -8.2971e-06 + PU: 1.0396e-05 + RelativeBal: 3.143e-05 + RelativeFSR: 0.0002114 + RelativeJEREC1: 3.387e-05 + RelativeJEREC2: -1.2184e-07 + RelativePtBB: -1.4924e-06 + RelativePtEC1: 1.0092e-05 + RelativePtEC2: -2.6481e-09 + RelativeSample: -0.00018455 + RelativeStatEC: 0.00010756 + RelativeStatFSR: 1.3076e-05 + SinglePionECAL: 3.1605e-05 + SinglePionHCAL: 1.8321e-05 + TimePtEta: 0.00019057 + Lumi: 5.1584e-05 + model: 5.6352e-05 +- all uncorr. unc.: 2.5579e-05 + AbsoluteMPFBias: 3.3157e-05 + AbsoluteScale: 1.9835e-05 + fake: -4.223e-08 + FlavorQCD: -5.9881e-06 + Fragmentation: -8.1803e-06 + JER: -3.2014e-05 + miss: 1.3658e-06 + PileUpDataMC: 5.3961e-07 + PileUpPtBB: -2.0287e-07 + PileUpPtEC1: 5.0125e-06 + PileUpPtEC2: -8.4019e-09 + PileUpPtRef: -2.5644e-07 + Pref: -2.0396e-06 + PU: 2.8674e-06 + RelativeBal: 1.0999e-05 + RelativeFSR: 6.5091e-05 + RelativeJEREC1: 8.3256e-06 + RelativeJEREC2: -1.4333e-07 + RelativePtBB: -5.5655e-07 + RelativePtEC1: 3.5723e-06 + RelativePtEC2: -7.8803e-10 + RelativeSample: -5.7583e-05 + RelativeStatEC: 3.1133e-05 + RelativeStatFSR: 3.8312e-06 + SinglePionECAL: 9.9865e-06 + SinglePionHCAL: 6.1072e-06 + TimePtEta: 5.1294e-05 + Lumi: 1.3005e-05 + model: 3.6672e-05 +- all uncorr. unc.: 1.1168e-05 + AbsoluteMPFBias: 6.7244e-06 + AbsoluteScale: 4.0677e-06 + fake: -1.7294e-08 + FlavorQCD: -2.0865e-06 + Fragmentation: -1.6838e-06 + JER: -7.1509e-06 + miss: 2.8331e-07 + PileUpDataMC: -8.7778e-08 + PileUpPtBB: -7.5318e-08 + PileUpPtEC1: 1.5005e-06 + PileUpPtEC2: -3.4857e-09 + PileUpPtRef: 1.4406e-07 + Pref: -3.8489e-07 + PU: 5.5992e-07 + RelativeBal: 2.6901e-06 + RelativeFSR: 1.4072e-05 + RelativeJEREC1: 1.455e-06 + RelativeJEREC2: -5.9217e-08 + RelativePtBB: -1.4203e-07 + RelativePtEC1: 8.8711e-07 + RelativePtEC2: -2.0287e-10 + RelativeSample: -1.2772e-05 + RelativeStatEC: 6.3638e-06 + RelativeStatFSR: 8.0525e-07 + SinglePionECAL: 2.2329e-06 + SinglePionHCAL: 1.4335e-06 + TimePtEta: 9.8683e-06 + Lumi: 2.3222e-06 + model: 1.1439e-05 +- all uncorr. unc.: 5.0369e-06 + AbsoluteMPFBias: 1.7954e-06 + AbsoluteScale: 1.0912e-06 + fake: -7.4096e-09 + FlavorQCD: -7.6145e-07 + Fragmentation: -4.4787e-07 + JER: -2.0989e-06 + miss: 7.7507e-08 + PileUpDataMC: -4.2598e-08 + PileUpPtBB: -3.0568e-08 + PileUpPtEC1: 5.2476e-07 + PileUpPtEC2: -1.5061e-09 + PileUpPtRef: 7.7394e-08 + Pref: -1.0468e-07 + PU: 1.4234e-07 + RelativeBal: 8.4428e-07 + RelativeFSR: 3.9357e-06 + RelativeJEREC1: 3.3376e-07 + RelativeJEREC2: -2.5446e-08 + RelativePtBB: -4.5787e-08 + RelativePtEC1: 2.8221e-07 + RelativePtEC2: -5.9978e-11 + RelativeSample: -3.6834e-06 + RelativeStatEC: 1.6899e-06 + RelativeStatFSR: 2.2242e-07 + SinglePionECAL: 6.4835e-07 + SinglePionHCAL: 4.3425e-07 + TimePtEta: 2.499e-06 + Lumi: 5.4054e-07 + model: 4.6561e-06 diff --git a/buildmaster/CMS_1JET_13TEV_DIF/uncertainties_r07.yaml b/buildmaster/CMS_1JET_13TEV_DIF/uncertainties_r07.yaml new file mode 100644 index 0000000000..178281d22f --- /dev/null +++ b/buildmaster/CMS_1JET_13TEV_DIF/uncertainties_r07.yaml @@ -0,0 +1,2462 @@ +definitions: + all uncorr. unc.: + description: all uncorrelated uncertainties + treatment: ADD + type: UNCORR + AbsoluteMPFBias: + description: '' + treatment: MULT + type: CORR + AbsoluteScale: + description: '' + treatment: MULT + type: CORR + fake: + description: '' + treatment: MULT + type: CORR + FlavorQCD: + description: '' + treatment: MULT + type: CORR + Fragmentation: + description: '' + treatment: MULT + type: CORR + JER: + description: '' + treatment: MULT + type: CORR + miss: + description: '' + treatment: MULT + type: CORR + PileUpDataMC: + description: '' + treatment: MULT + type: CORR + PileUpPtBB: + description: '' + treatment: MULT + type: CORR + PileUpPtEC1: + description: '' + treatment: MULT + type: CORR + PileUpPtEC2: + description: '' + treatment: MULT + type: CORR + PileUpPtRef: + description: '' + treatment: MULT + type: CORR + Pref: + description: '' + treatment: MULT + type: CORR + PU: + description: '' + treatment: MULT + type: CORR + RelativeBal: + description: '' + treatment: MULT + type: CORR + RelativeFSR: + description: '' + treatment: MULT + type: CORR + RelativeJEREC1: + description: '' + treatment: MULT + type: CORR + RelativeJEREC2: + description: '' + treatment: MULT + type: CORR + RelativePtBB: + description: '' + treatment: MULT + type: CORR + RelativePtEC1: + description: '' + treatment: MULT + type: CORR + RelativePtEC2: + description: '' + treatment: MULT + type: CORR + RelativeSample: + description: '' + treatment: MULT + type: CORR + RelativeStatEC: + description: '' + treatment: MULT + type: CORR + RelativeStatFSR: + description: '' + treatment: MULT + type: CORR + SinglePionECAL: + description: '' + treatment: MULT + type: CORR + SinglePionHCAL: + description: '' + treatment: MULT + type: CORR + TimePtEta: + description: '' + treatment: MULT + type: CORR + Lumi: + description: '' + treatment: MULT + type: CORR + model: + description: '' + treatment: MULT + type: CORR +bins: +- all uncorr. unc.: 67.926 + AbsoluteMPFBias: 171.01 + AbsoluteScale: 110.69 + fake: -0.86401 + FlavorQCD: 474.51 + Fragmentation: 32.639 + JER: -191.07 + miss: 17.326 + PileUpDataMC: 100.69 + PileUpPtBB: 13.514 + PileUpPtEC1: 0.54805 + PileUpPtEC2: 0.018863 + PileUpPtRef: 22.997 + Pref: -41.296 + PU: -34.475 + RelativeBal: 116.19 + RelativeFSR: -190.42 + RelativeJEREC1: 2.4821 + RelativeJEREC2: 0.9535 + RelativePtBB: -14.384 + RelativePtEC1: -0.07035 + RelativePtEC2: 0.01649 + RelativeSample: 192.94 + RelativeStatEC: 1.9788 + RelativeStatFSR: 12.382 + SinglePionECAL: -44.998 + SinglePionHCAL: -16.756 + TimePtEta: 222.98 + Lumi: 176.87 + model: 258.97 +- all uncorr. unc.: 18.521 + AbsoluteMPFBias: 39.042 + AbsoluteScale: 24.091 + fake: -0.032275 + FlavorQCD: 89.665 + Fragmentation: 4.5415 + JER: -34.662 + miss: 3.0386 + PileUpDataMC: 16.5 + PileUpPtBB: 3.4296 + PileUpPtEC1: 0.038083 + PileUpPtEC2: 0.0023834 + PileUpPtRef: 4.2372 + Pref: -14.677 + PU: -3.776 + RelativeBal: 25.937 + RelativeFSR: -32.734 + RelativeJEREC1: 0.071735 + RelativeJEREC2: 0.05292 + RelativePtBB: -1.0917 + RelativePtEC1: -0.0096859 + RelativePtEC2: 0.0024459 + RelativeSample: 36.553 + RelativeStatEC: 0.056974 + RelativeStatFSR: 2.6728 + SinglePionECAL: -5.9821 + SinglePionHCAL: -1.9316 + TimePtEta: 56.017 + Lumi: 38.833 + model: 11.301 +- all uncorr. unc.: 4.0039 + AbsoluteMPFBias: 10.737 + AbsoluteScale: 6.4907 + fake: 0.0054826 + FlavorQCD: 21.119 + Fragmentation: 0.60414 + JER: -7.7553 + miss: 0.70561 + PileUpDataMC: 3.5544 + PileUpPtBB: 0.98269 + PileUpPtEC1: 0.0036332 + PileUpPtEC2: 0.00033054 + PileUpPtRef: 0.83479 + Pref: -5.5191 + PU: -0.47245 + RelativeBal: 7.2454 + RelativeFSR: -6.8872 + RelativeJEREC1: -0.02171 + RelativeJEREC2: -0.0027377 + RelativePtBB: 0.32033 + RelativePtEC1: -0.0017252 + RelativePtEC2: 0.00042404 + RelativeSample: 8.3959 + RelativeStatEC: -0.017468 + RelativeStatFSR: 0.71277 + SinglePionECAL: -0.78396 + SinglePionHCAL: -0.18237 + TimePtEta: 16.252 + Lumi: 10.326 + model: 2.7668 +- all uncorr. unc.: 1.3577 + AbsoluteMPFBias: 3.3032 + AbsoluteScale: 2.0024 + fake: 0.0023581 + FlavorQCD: 5.5896 + Fragmentation: 0.019894 + JER: -1.9806 + miss: 0.19904 + PileUpDataMC: 0.86994 + PileUpPtBB: 0.28936 + PileUpPtEC1: -0.00088765 + PileUpPtEC2: 4.3615e-05 + PileUpPtRef: 0.16021 + Pref: -1.9782 + PU: -0.053505 + RelativeBal: 2.2543 + RelativeFSR: -1.5507 + RelativeJEREC1: -0.008084 + RelativeJEREC2: -0.0014271 + RelativePtBB: 0.25997 + RelativePtEC1: -0.00043103 + RelativePtEC2: 7.8914e-05 + RelativeSample: 2.1839 + RelativeStatEC: -0.0065147 + RelativeStatFSR: 0.21669 + SinglePionECAL: -0.049259 + SinglePionHCAL: 0.025499 + TimePtEta: 5.1837 + Lumi: 3.0891 + model: 0.99263 +- all uncorr. unc.: 0.35447 + AbsoluteMPFBias: 1.1213 + AbsoluteScale: 0.68013 + fake: 0.00058151 + FlavorQCD: 1.6313 + Fragmentation: -0.043874 + JER: -0.56824 + miss: 0.066055 + PileUpDataMC: 0.23771 + PileUpPtBB: 0.086708 + PileUpPtEC1: -0.0002344 + PileUpPtEC2: 5.4869e-06 + PileUpPtRef: 0.025362 + Pref: -0.72715 + PU: -0.0040381 + RelativeBal: 0.77432 + RelativeFSR: -0.34925 + RelativeJEREC1: -0.0018951 + RelativeJEREC2: -0.00039396 + RelativePtBB: 0.14108 + RelativePtEC1: -0.00011615 + RelativePtEC2: 1.7242e-05 + RelativeSample: 0.61845 + RelativeStatEC: -0.0015359 + RelativeStatFSR: 0.074323 + SinglePionECAL: 0.044091 + SinglePionHCAL: 0.030899 + TimePtEta: 1.818 + Lumi: 1.0246 + model: 0.30841 +- all uncorr. unc.: 0.10418 + AbsoluteMPFBias: 0.39797 + AbsoluteScale: 0.24127 + fake: 9.6936e-05 + FlavorQCD: 0.49361 + Fragmentation: -0.030599 + JER: -0.17295 + miss: 0.023903 + PileUpDataMC: 0.068874 + PileUpPtBB: 0.025124 + PileUpPtEC1: -6.2197e-05 + PileUpPtEC2: -2.0063e-06 + PileUpPtRef: 0.00035651 + Pref: -0.25878 + PU: 0.0047477 + RelativeBal: 0.2815 + RelativeFSR: -0.069373 + RelativeJEREC1: -0.00028783 + RelativeJEREC2: -6.4798e-05 + RelativePtBB: 0.068132 + RelativePtEC1: -3.1415e-05 + RelativePtEC2: 3.4143e-06 + RelativeSample: 0.1788 + RelativeStatEC: -0.00023679 + RelativeStatFSR: 0.027036 + SinglePionECAL: 0.032497 + SinglePionHCAL: 0.01786 + TimePtEta: 0.67005 + Lumi: 0.35586 + model: 0.12983 +- all uncorr. unc.: 0.037193 + AbsoluteMPFBias: 0.15089 + AbsoluteScale: 0.091388 + fake: 3.4854e-06 + FlavorQCD: 0.15694 + Fragmentation: -0.016681 + JER: -0.056937 + miss: 0.0094675 + PileUpDataMC: 0.021658 + PileUpPtBB: 0.0070128 + PileUpPtEC1: 1.6386e-05 + PileUpPtEC2: -1.1834e-06 + PileUpPtRef: -0.0028157 + Pref: -0.084253 + PU: 0.0025921 + RelativeBal: 0.10888 + RelativeFSR: -0.006512 + RelativeJEREC1: 1.4978e-05 + RelativeJEREC2: -2.756e-06 + RelativePtBB: 0.032423 + RelativePtEC1: -8.435e-06 + RelativePtEC2: 5.0969e-07 + RelativeSample: 0.053116 + RelativeStatEC: 1.6574e-05 + RelativeStatFSR: 0.01045 + SinglePionECAL: 0.017844 + SinglePionHCAL: 0.0091878 + TimePtEta: 0.2619 + Lumi: 0.13194 + model: 0.045037 +- all uncorr. unc.: 0.014241 + AbsoluteMPFBias: 0.058875 + AbsoluteScale: 0.035626 + fake: -5.5437e-06 + FlavorQCD: 0.050175 + Fragmentation: -0.0082589 + JER: -0.019559 + miss: 0.0039022 + PileUpDataMC: 0.0071488 + PileUpPtBB: 0.0017065 + PileUpPtEC1: 3.8608e-06 + PileUpPtEC2: -4.9375e-07 + PileUpPtRef: -0.0018502 + Pref: -0.026989 + PU: 0.0012289 + RelativeBal: 0.043014 + RelativeFSR: 0.0055004 + RelativeJEREC1: 2.7495e-05 + RelativeJEREC2: 5.0392e-06 + RelativePtBB: 0.01508 + RelativePtEC1: -2.0298e-06 + RelativePtEC2: -1.6946e-07 + RelativeSample: 0.01531 + RelativeStatEC: 2.2073e-05 + RelativeStatFSR: 0.0041333 + SinglePionECAL: 0.0088319 + SinglePionHCAL: 0.0044784 + TimePtEta: 0.10459 + Lumi: 0.050271 + model: 0.016787 +- all uncorr. unc.: 0.0051275 + AbsoluteMPFBias: 0.023917 + AbsoluteScale: 0.014463 + fake: -2.6101e-06 + FlavorQCD: 0.016119 + Fragmentation: -0.0039823 + JER: -0.0070934 + miss: 0.0016793 + PileUpDataMC: 0.0025169 + PileUpPtBB: 0.00029263 + PileUpPtEC1: 1.3663e-06 + PileUpPtEC2: -1.7948e-07 + PileUpPtRef: -0.00094206 + Pref: -0.0088179 + PU: 0.00056887 + RelativeBal: 0.017592 + RelativeFSR: 0.0050742 + RelativeJEREC1: 1.3128e-05 + RelativeJEREC2: 2.1419e-06 + RelativePtBB: 0.0070519 + RelativePtEC1: -3.4598e-07 + RelativePtEC2: -1.096e-07 + RelativeSample: 0.0041315 + RelativeStatEC: 1.0891e-05 + RelativeStatFSR: 0.0016928 + SinglePionECAL: 0.0042537 + SinglePionHCAL: 0.002172 + TimePtEta: 0.043199 + Lumi: 0.019896 + model: 0.0062635 +- all uncorr. unc.: 0.0020376 + AbsoluteMPFBias: 0.0098946 + AbsoluteScale: 0.0059822 + fake: -4.5016e-07 + FlavorQCD: 0.0049878 + Fragmentation: -0.0018782 + JER: -0.0026583 + miss: 0.00073435 + PileUpDataMC: 0.00091218 + PileUpPtBB: -7.6326e-05 + PileUpPtEC1: 2.849e-07 + PileUpPtEC2: -5.7488e-08 + PileUpPtRef: -0.00042198 + Pref: -0.0030625 + PU: 0.00025927 + RelativeBal: 0.0073017 + RelativeFSR: 0.0032426 + RelativeJEREC1: 3.6189e-06 + RelativeJEREC2: 2.9179e-07 + RelativePtBB: 0.0032729 + RelativePtEC1: 1.6918e-07 + RelativePtEC2: -5.3085e-08 + RelativeSample: 0.00089135 + RelativeStatEC: 3.2293e-06 + RelativeStatFSR: 0.00070225 + SinglePionECAL: 0.0020127 + SinglePionHCAL: 0.0010423 + TimePtEta: 0.018058 + Lumi: 0.0079967 + model: 0.0020195 +- all uncorr. unc.: 0.00090705 + AbsoluteMPFBias: 0.0041948 + AbsoluteScale: 0.0025374 + fake: 2.5336e-07 + FlavorQCD: 0.0014427 + Fragmentation: -0.00088046 + JER: -0.0010376 + miss: 0.0003273 + PileUpDataMC: 0.00034058 + PileUpPtBB: -0.00010479 + PileUpPtEC1: -1.7069e-07 + PileUpPtEC2: -1.6157e-08 + PileUpPtRef: -0.00017244 + Pref: -0.0010761 + PU: 0.00011803 + RelativeBal: 0.0031018 + RelativeFSR: 0.0018661 + RelativeJEREC1: 1.3346e-07 + RelativeJEREC2: -2.7034e-07 + RelativePtBB: 0.0015245 + RelativePtEC1: 1.5248e-07 + RelativePtEC2: -2.3319e-08 + RelativeSample: 7.0329e-05 + RelativeStatEC: 3.2671e-07 + RelativeStatFSR: 0.00029801 + SinglePionECAL: 0.00094717 + SinglePionHCAL: 0.00050305 + TimePtEta: 0.0076905 + Lumi: 0.0032852 + model: 0.00079342 +- all uncorr. unc.: 0.00043122 + AbsoluteMPFBias: 0.0018032 + AbsoluteScale: 0.0010916 + fake: 3.055e-07 + FlavorQCD: 0.00034706 + Fragmentation: -0.00040927 + JER: -0.00041719 + miss: 0.00014693 + PileUpDataMC: 0.00012974 + PileUpPtBB: -7.4245e-05 + PileUpPtEC1: -1.2465e-07 + PileUpPtEC2: -6.3476e-09 + PileUpPtRef: -6.3303e-05 + Pref: -0.00041518 + PU: 5.3165e-05 + RelativeBal: 0.0013374 + RelativeFSR: 0.0010071 + RelativeJEREC1: -5.9535e-07 + RelativeJEREC2: -2.8657e-07 + RelativePtBB: 0.00070842 + RelativePtEC1: 1.0687e-07 + RelativePtEC2: -9.873e-09 + RelativeSample: -0.00010619 + RelativeStatEC: -3.4804e-07 + RelativeStatFSR: 0.00012922 + SinglePionECAL: 0.00044152 + SinglePionHCAL: 0.00024226 + TimePtEta: 0.0033033 + Lumi: 0.0013646 + model: 0.00027507 +- all uncorr. unc.: 0.00021842 + AbsoluteMPFBias: 0.00077116 + AbsoluteScale: 0.00046755 + fake: 1.873e-07 + FlavorQCD: 3.8138e-05 + Fragmentation: -0.00018606 + JER: -0.0001695 + miss: 6.5153e-05 + PileUpDataMC: 4.8592e-05 + PileUpPtBB: -4.3608e-05 + PileUpPtEC1: -7.2849e-08 + PileUpPtEC2: -2.6378e-09 + PileUpPtRef: -1.9274e-05 + Pref: -0.00015101 + PU: 2.3186e-05 + RelativeBal: 0.00057592 + RelativeFSR: 0.00051556 + RelativeJEREC1: -4.6191e-07 + RelativeJEREC2: -1.6995e-07 + RelativePtBB: 0.0003232 + RelativePtEC1: 6.5439e-08 + RelativePtEC2: -4.2013e-09 + RelativeSample: -9.6812e-05 + RelativeStatEC: -3.0105e-07 + RelativeStatFSR: 5.5601e-05 + SinglePionECAL: 0.00020115 + SinglePionHCAL: 0.00011449 + TimePtEta: 0.0014048 + Lumi: 0.00056229 + model: 0.00010815 +- all uncorr. unc.: 0.00012016 + AbsoluteMPFBias: 0.00033183 + AbsoluteScale: 0.00020161 + fake: 8.1123e-08 + FlavorQCD: -3.0633e-05 + Fragmentation: -8.392e-05 + JER: -7.0333e-05 + miss: 2.8851e-05 + PileUpDataMC: 1.7801e-05 + PileUpPtBB: -2.4137e-05 + PileUpPtEC1: -3.8728e-08 + PileUpPtEC2: 1.2232e-09 + PileUpPtRef: -3.95e-06 + Pref: -5.8963e-05 + PU: 9.8476e-06 + RelativeBal: 0.00025001 + RelativeFSR: 0.00025677 + RelativeJEREC1: -2.1914e-07 + RelativeJEREC2: -7.2035e-08 + RelativePtBB: 0.00014666 + RelativePtEC1: 3.718e-08 + RelativePtEC2: -1.7591e-09 + RelativeSample: -6.2033e-05 + RelativeStatEC: -1.4066e-07 + RelativeStatFSR: 2.4004e-05 + SinglePionECAL: 9.0876e-05 + SinglePionHCAL: 5.379e-05 + TimePtEta: 0.00060159 + Lumi: 0.00023253 + model: 4.3958e-05 +- all uncorr. unc.: 6.9591e-05 + AbsoluteMPFBias: 0.00014209 + AbsoluteScale: 8.6555e-05 + fake: 2.0452e-08 + FlavorQCD: -3.0665e-05 + Fragmentation: -3.7234e-05 + JER: -2.9436e-05 + miss: 1.262e-05 + PileUpDataMC: 6.1473e-06 + PileUpPtBB: -1.2515e-05 + PileUpPtEC1: 1.9326e-08 + PileUpPtEC2: 6.2575e-10 + PileUpPtRef: 7.9679e-07 + Pref: -2.2808e-05 + PU: 3.997e-06 + RelativeBal: 0.00010875 + RelativeFSR: 0.00012512 + RelativeJEREC1: -5.953e-08 + RelativeJEREC2: -1.7393e-08 + RelativePtBB: 6.5581e-05 + RelativePtEC1: 1.9894e-08 + RelativePtEC2: -7.3832e-10 + RelativeSample: -3.5556e-05 + RelativeStatEC: -3.0971e-08 + RelativeStatFSR: 1.0285e-05 + SinglePionECAL: 4.0442e-05 + SinglePionHCAL: 2.4896e-05 + TimePtEta: 0.0002585 + Lumi: 9.547e-05 + model: 1.4688e-05 +- all uncorr. unc.: 4.1337e-05 + AbsoluteMPFBias: 6.1122e-05 + AbsoluteScale: 3.7348e-05 + fake: -5.0921e-09 + FlavorQCD: -2.0141e-05 + Fragmentation: -1.6439e-05 + JER: -1.252e-05 + miss: 5.5074e-06 + PileUpDataMC: 1.9197e-06 + PileUpPtBB: -6.2625e-06 + PileUpPtEC1: 1.0102e-08 + PileUpPtEC2: 3.4396e-10 + PileUpPtRef: 1.5332e-06 + Pref: -7.7398e-06 + PU: 1.5442e-06 + RelativeBal: 4.7821e-05 + RelativeFSR: 6.0834e-05 + RelativeJEREC1: 1.6018e-08 + RelativeJEREC2: 5.212e-09 + RelativePtBB: 2.9215e-05 + RelativePtEC1: 1.0276e-08 + RelativePtEC2: -3.4067e-10 + RelativeSample: -1.9042e-05 + RelativeStatEC: 1.7645e-08 + RelativeStatFSR: 4.4156e-06 + SinglePionECAL: 1.8015e-05 + SinglePionHCAL: 1.1476e-05 + TimePtEta: 0.00011145 + Lumi: 3.9292e-05 + model: 7.3682e-06 +- all uncorr. unc.: 2.4274e-05 + AbsoluteMPFBias: 2.4465e-05 + AbsoluteScale: 1.5001e-05 + fake: -1.1151e-08 + FlavorQCD: -1.0599e-05 + Fragmentation: -6.6991e-06 + JER: -5.2552e-06 + miss: 2.2216e-06 + PileUpDataMC: 4.344e-07 + PileUpPtBB: -2.8333e-06 + PileUpPtEC1: 8.8224e-09 + PileUpPtEC2: 1.8062e-10 + PileUpPtRef: 1.1427e-06 + Pref: -3.04e-06 + PU: 5.1263e-07 + RelativeBal: 1.9695e-05 + RelativeFSR: 2.7223e-05 + RelativeJEREC1: 3.0922e-08 + RelativeJEREC2: 1.0338e-08 + RelativePtBB: 1.2022e-05 + RelativePtEC1: 4.7922e-09 + RelativePtEC2: -1.5522e-10 + RelativeSample: -9.0765e-06 + RelativeStatEC: 2.7969e-08 + RelativeStatFSR: 1.7596e-06 + SinglePionECAL: 7.4182e-06 + SinglePionHCAL: 4.8855e-06 + TimePtEta: 4.4665e-05 + Lumi: 1.5018e-05 + model: 3.9183e-06 +- all uncorr. unc.: 1.4318e-05 + AbsoluteMPFBias: 9.727e-06 + AbsoluteScale: 5.987e-06 + fake: -9.6079e-09 + FlavorQCD: -5.126e-06 + Fragmentation: -2.6934e-06 + JER: -2.241e-06 + miss: 8.8477e-07 + PileUpDataMC: 2.4778e-08 + PileUpPtBB: -1.2461e-06 + PileUpPtEC1: 6.1072e-09 + PileUpPtEC2: -9.4148e-11 + PileUpPtRef: 6.8161e-07 + Pref: -1.2175e-06 + PU: 1.4681e-07 + RelativeBal: 8.1094e-06 + RelativeFSR: 1.1998e-05 + RelativeJEREC1: 2.7336e-08 + RelativeJEREC2: 8.7755e-09 + RelativePtBB: 4.8839e-06 + RelativePtEC1: 2.1682e-09 + RelativePtEC2: -7.3345e-11 + RelativeSample: -4.1714e-06 + RelativeStatEC: 2.3167e-08 + RelativeStatFSR: 6.9496e-07 + SinglePionECAL: 3.0177e-06 + SinglePionHCAL: 2.0574e-06 + TimePtEta: 1.7763e-05 + Lumi: 5.6912e-06 + model: 1.0327e-06 +- all uncorr. unc.: 8.226e-06 + AbsoluteMPFBias: 3.9138e-06 + AbsoluteScale: 2.4188e-06 + fake: -6.6088e-09 + FlavorQCD: -2.3924e-06 + Fragmentation: -1.0895e-06 + JER: -9.7467e-07 + miss: 3.5455e-07 + PileUpDataMC: -6.1798e-08 + PileUpPtBB: -5.4535e-07 + PileUpPtEC1: 3.7994e-09 + PileUpPtEC2: -4.8955e-11 + PileUpPtRef: 3.7094e-07 + Pref: -3.8507e-07 + PU: 2.9801e-08 + RelativeBal: 3.3997e-06 + RelativeFSR: 5.3141e-06 + RelativeJEREC1: 1.9068e-08 + RelativeJEREC2: 5.998e-09 + RelativePtBB: 1.9969e-06 + RelativePtEC1: 9.7411e-10 + RelativePtEC2: -3.5958e-11 + RelativeSample: -1.8989e-06 + RelativeStatEC: 1.5765e-08 + RelativeStatFSR: 2.7718e-07 + SinglePionECAL: 1.2366e-06 + SinglePionHCAL: 8.724e-07 + TimePtEta: 7.1432e-06 + Lumi: 2.179e-06 + model: 7.7019e-07 +- all uncorr. unc.: 4.6041e-06 + AbsoluteMPFBias: 1.3898e-06 + AbsoluteScale: 8.6263e-07 + fake: -3.5618e-09 + FlavorQCD: -9.5962e-07 + Fragmentation: -3.8698e-07 + JER: -3.7552e-07 + miss: 1.2472e-07 + PileUpDataMC: -4.9848e-08 + PileUpPtBB: -2.0777e-07 + PileUpPtEC1: 1.9333e-09 + PileUpPtEC2: -2.2027e-11 + PileUpPtRef: 1.6739e-07 + Pref: -1.1211e-07 + PU: -6.6579e-09 + RelativeBal: 1.2646e-06 + RelativeFSR: 2.0649e-06 + RelativeJEREC1: 1.0375e-08 + RelativeJEREC2: 3.2212e-09 + RelativePtBB: 7.1719e-07 + RelativePtEC1: 3.8023e-10 + RelativePtEC2: -1.5699e-11 + RelativeSample: -7.5068e-07 + RelativeStatEC: 8.4706e-09 + RelativeStatFSR: 9.7384e-08 + SinglePionECAL: 4.4546e-07 + SinglePionHCAL: 3.2489e-07 + TimePtEta: 2.5333e-06 + Lumi: 7.353e-07 + model: 1.8874e-07 +- all uncorr. unc.: 2.4809e-06 + AbsoluteMPFBias: 4.6234e-07 + AbsoluteScale: 2.8823e-07 + fake: -1.6681e-09 + FlavorQCD: -3.5207e-07 + Fragmentation: -1.282e-07 + JER: -1.3559e-07 + miss: 4.0897e-08 + PileUpDataMC: -2.6855e-08 + PileUpPtBB: -7.3309e-08 + PileUpPtEC1: 8.7251e-10 + PileUpPtEC2: -9.0886e-12 + PileUpPtRef: 6.78e-08 + Pref: -1.9309e-08 + PU: -7.5127e-09 + RelativeBal: 4.4261e-07 + RelativeFSR: 7.4755e-07 + RelativeJEREC1: 4.8927e-09 + RelativeJEREC2: 1.5052e-09 + RelativePtBB: 2.4027e-07 + RelativePtEC1: 1.372e-10 + RelativePtEC2: -6.4051e-12 + RelativeSample: -2.7442e-07 + RelativeStatEC: 3.9656e-09 + RelativeStatFSR: 3.1997e-08 + SinglePionECAL: 1.4982e-07 + SinglePionHCAL: 1.1282e-07 + TimePtEta: 8.4108e-07 + Lumi: 2.3218e-07 + model: 1.3312e-07 +- all uncorr. unc.: 1.2423e-06 + AbsoluteMPFBias: 1.1593e-07 + AbsoluteScale: 7.2599e-08 + fake: -5.5898e-10 + FlavorQCD: -9.5637e-08 + Fragmentation: -3.1892e-08 + JER: -3.6849e-08 + miss: 1.0062e-08 + PileUpDataMC: -9.5514e-09 + PileUpPtBB: -1.9313e-08 + PileUpPtEC1: 2.8494e-10 + PileUpPtEC2: -2.7706e-12 + PileUpPtRef: 2.007e-08 + Pref: 1.7347e-09 + PU: -3.4009e-09 + RelativeBal: 1.1718e-07 + RelativeFSR: 2.0305e-07 + RelativeJEREC1: 1.6483e-09 + RelativeJEREC2: 5.0364e-10 + RelativePtBB: 6.0451e-08 + RelativePtEC1: 3.69e-11 + RelativePtEC2: -1.9532e-12 + RelativeSample: -7.4847e-08 + RelativeStatEC: 1.3297e-09 + RelativeStatFSR: 7.9122e-09 + SinglePionECAL: 3.7874e-08 + SinglePionHCAL: 2.9412e-08 + TimePtEta: 2.1036e-07 + Lumi: 5.5209e-08 + model: 1.2165e-08 +- all uncorr. unc.: 68.223 + AbsoluteMPFBias: 159.87 + AbsoluteScale: 102.4 + fake: -0.84505 + FlavorQCD: 453.81 + Fragmentation: 32.634 + JER: -199.56 + miss: 12.844 + PileUpDataMC: 90.386 + PileUpPtBB: 22.979 + PileUpPtEC1: 0.19563 + PileUpPtEC2: 0.020305 + PileUpPtRef: 28.148 + Pref: -40.814 + PU: -27.814 + RelativeBal: 15.841 + RelativeFSR: -35.795 + RelativeJEREC1: 1.3355 + RelativeJEREC2: 0.96182 + RelativePtBB: -14.943 + RelativePtEC1: -0.013167 + RelativePtEC2: 0.01713 + RelativeSample: 104.33 + RelativeStatEC: 1.9083 + RelativeStatFSR: 12.723 + SinglePionECAL: -38.731 + SinglePionHCAL: -17.926 + TimePtEta: 275.43 + Lumi: 168.53 + model: 184.14 +- all uncorr. unc.: 18.658 + AbsoluteMPFBias: 38.193 + AbsoluteScale: 23.472 + fake: -0.028624 + FlavorQCD: 88.436 + Fragmentation: 4.5782 + JER: -31.54 + miss: 2.0417 + PileUpDataMC: 15.441 + PileUpPtBB: 4.2714 + PileUpPtEC1: 0.017487 + PileUpPtEC2: 0.0026237 + PileUpPtRef: 4.4757 + Pref: -13.476 + PU: -3.4823 + RelativeBal: 4.1832 + RelativeFSR: -7.9422 + RelativeJEREC1: -0.18903 + RelativeJEREC2: 0.044404 + RelativePtBB: -2.0232 + RelativePtEC1: -0.0039199 + RelativePtEC2: 0.0025417 + RelativeSample: 15.35 + RelativeStatEC: 0.044857 + RelativeStatFSR: 2.7901 + SinglePionECAL: -5.5986 + SinglePionHCAL: -1.8589 + TimePtEta: 69.281 + Lumi: 37.177 + model: 8.5486 +- all uncorr. unc.: 4.0051 + AbsoluteMPFBias: 10.438 + AbsoluteScale: 6.2713 + fake: 0.0059867 + FlavorQCD: 20.649 + Fragmentation: 0.60413 + JER: -7.1573 + miss: 0.42996 + PileUpDataMC: 3.2035 + PileUpPtBB: 0.88058 + PileUpPtEC1: 0.0038264 + PileUpPtEC2: 0.00037396 + PileUpPtRef: 0.8599 + Pref: -5.2387 + PU: -0.45859 + RelativeBal: 1.278 + RelativeFSR: -2.0172 + RelativeJEREC1: -0.061692 + RelativeJEREC2: -0.0034363 + RelativePtBB: 0.25072 + RelativePtEC1: -0.0012535 + RelativePtEC2: 0.00042728 + RelativeSample: 2.0877 + RelativeStatEC: -0.031176 + RelativeStatFSR: 0.73354 + SinglePionECAL: -0.79737 + SinglePionHCAL: -0.16725 + TimePtEta: 19.491 + Lumi: 9.7147 + model: 3.2723 +- all uncorr. unc.: 1.3451 + AbsoluteMPFBias: 3.1605 + AbsoluteScale: 1.8831 + fake: 0.0023507 + FlavorQCD: 5.4134 + Fragmentation: 0.022604 + JER: -1.8366 + miss: 0.11493 + PileUpDataMC: 0.765 + PileUpPtBB: 0.19047 + PileUpPtEC1: 0.0012682 + PileUpPtEC2: 5.1168e-05 + PileUpPtRef: 0.16091 + Pref: -1.8536 + PU: -0.04626 + RelativeBal: 0.43274 + RelativeFSR: -0.56451 + RelativeJEREC1: -0.016872 + RelativeJEREC2: -0.0018668 + RelativePtBB: 0.25143 + RelativePtEC1: -0.00043037 + RelativePtEC2: 8.2616e-05 + RelativeSample: 0.063013 + RelativeStatEC: -0.010311 + RelativeStatFSR: 0.21965 + SinglePionECAL: -0.060339 + SinglePionHCAL: 0.040338 + TimePtEta: 5.9942 + Lumi: 2.8683 + model: 1.1231 +- all uncorr. unc.: 0.34801 + AbsoluteMPFBias: 1.0507 + AbsoluteScale: 0.62551 + fake: 0.00055025 + FlavorQCD: 1.5562 + Fragmentation: -0.03888 + JER: -0.53743 + miss: 0.037545 + PileUpDataMC: 0.20526 + PileUpPtBB: 0.040796 + PileUpPtEC1: 0.00042691 + PileUpPtEC2: 5.3899e-06 + PileUpPtRef: 0.024402 + Pref: -0.66386 + PU: 0.0083465 + RelativeBal: 0.15965 + RelativeFSR: -0.17102 + RelativeJEREC1: -0.0040411 + RelativeJEREC2: -0.00045208 + RelativePtBB: 0.13701 + RelativePtEC1: -0.00015852 + RelativePtEC2: 2.1601e-05 + RelativeSample: -0.20898 + RelativeStatEC: -0.0026682 + RelativeStatFSR: 0.073188 + SinglePionECAL: 0.032637 + SinglePionHCAL: 0.033337 + TimePtEta: 2.0081 + Lumi: 0.93728 + model: 0.40957 +- all uncorr. unc.: 0.10156 + AbsoluteMPFBias: 0.3664 + AbsoluteScale: 0.21881 + fake: 8.5484e-05 + FlavorQCD: 0.46419 + Fragmentation: -0.027993 + JER: -0.17211 + miss: 0.013785 + PileUpDataMC: 0.05864 + PileUpPtBB: 0.0073098 + PileUpPtEC1: 0.00017454 + PileUpPtEC2: -9.7956e-07 + PileUpPtRef: -4.476e-05 + Pref: -0.23202 + PU: 0.0070816 + RelativeBal: 0.061987 + RelativeFSR: -0.053246 + RelativeJEREC1: -0.00085847 + RelativeJEREC2: -6.5662e-05 + RelativePtBB: 0.064644 + RelativePtEC1: -6.0081e-05 + RelativePtEC2: 5.7097e-06 + RelativeSample: -0.13276 + RelativeStatEC: -0.00060567 + RelativeStatFSR: 0.025721 + SinglePionECAL: 0.02755 + SinglePionHCAL: 0.017533 + TimePtEta: 0.70196 + Lumi: 0.3218 + model: 0.1454 +- all uncorr. unc.: 0.035971 + AbsoluteMPFBias: 0.13814 + AbsoluteScale: 0.082901 + fake: 1.0311e-06 + FlavorQCD: 0.14672 + Fragmentation: -0.015457 + JER: -0.058879 + miss: 0.0056681 + PileUpDataMC: 0.018277 + PileUpPtBB: 0.00050628 + PileUpPtEC1: 6.6469e-05 + PileUpPtEC2: -8.8741e-07 + PileUpPtRef: -0.0025865 + Pref: -0.073026 + PU: 0.0036145 + RelativeBal: 0.025598 + RelativeFSR: -0.017432 + RelativeJEREC1: -0.00017739 + RelativeJEREC2: 4.301e-06 + RelativePtBB: 0.03014 + RelativePtEC1: -2.4222e-05 + RelativePtEC2: 1.5227e-06 + RelativeSample: -0.070877 + RelativeStatEC: -0.00016655 + RelativeStatFSR: 0.0098677 + SinglePionECAL: 0.015926 + SinglePionHCAL: 0.0086675 + TimePtEta: 0.26432 + Lumi: 0.11921 + model: 0.044687 +- all uncorr. unc.: 0.013709 + AbsoluteMPFBias: 0.052391 + AbsoluteScale: 0.031605 + fake: -5.5233e-06 + FlavorQCD: 0.045395 + Fragmentation: -0.0075072 + JER: -0.0199 + miss: 0.0023689 + PileUpDataMC: 0.0057754 + PileUpPtBB: -0.00050845 + PileUpPtEC1: 2.2728e-05 + PileUpPtEC2: -4.2356e-07 + PileUpPtRef: -0.0016786 + Pref: -0.022631 + PU: 0.0015626 + RelativeBal: 0.010417 + RelativeFSR: -0.0056137 + RelativeJEREC1: -5.2236e-05 + RelativeJEREC2: 6.0054e-06 + RelativePtBB: 0.013409 + RelativePtEC1: -9.674e-06 + RelativePtEC2: 3.5917e-07 + RelativeSample: -0.034107 + RelativeStatEC: -5.4861e-05 + RelativeStatFSR: 0.0037971 + SinglePionECAL: 0.0079011 + SinglePionHCAL: 0.0040378 + TimePtEta: 0.099852 + Lumi: 0.04425 + model: 0.016471 +- all uncorr. unc.: 0.0048849 + AbsoluteMPFBias: 0.02122 + AbsoluteScale: 0.012859 + fake: -2.3149e-06 + FlavorQCD: 0.014409 + Fragmentation: -0.003622 + JER: -0.0070582 + miss: 0.0010539 + PileUpDataMC: 0.0019589 + PileUpPtBB: -0.00042684 + PileUpPtEC1: 7.3288e-06 + PileUpPtEC2: -1.8109e-07 + PileUpPtRef: -0.00084906 + Pref: -0.0073535 + PU: 0.00066526 + RelativeBal: 0.0044503 + RelativeFSR: -0.0018499 + RelativeJEREC1: -1.6655e-05 + RelativeJEREC2: 2.2611e-06 + RelativePtBB: 0.0061597 + RelativePtEC1: -4.0699e-06 + RelativePtEC2: 1.1566e-07 + RelativeSample: -0.016505 + RelativeStatEC: -1.9295e-05 + RelativeStatFSR: 0.0015475 + SinglePionECAL: 0.0038596 + SinglePionHCAL: 0.0019371 + TimePtEta: 0.040209 + Lumi: 0.017449 + model: 0.0053062 +- all uncorr. unc.: 0.001932 + AbsoluteMPFBias: 0.0086588 + AbsoluteScale: 0.0052646 + fake: -2.8051e-07 + FlavorQCD: 0.0043367 + Fragmentation: -0.0016803 + JER: -0.0024974 + miss: 0.0004675 + PileUpDataMC: 0.00067152 + PileUpPtBB: -0.00023854 + PileUpPtEC1: 1.9523e-06 + PileUpPtEC2: -7.2941e-08 + PileUpPtRef: -0.00037001 + Pref: -0.0024716 + PU: 0.00027503 + RelativeBal: 0.0018868 + RelativeFSR: -0.00057444 + RelativeJEREC1: -5.4999e-06 + RelativeJEREC2: 2.0107e-07 + RelativePtBB: 0.0027824 + RelativePtEC1: -1.7036e-06 + RelativePtEC2: -5.5348e-08 + RelativeSample: -0.0077464 + RelativeStatEC: -6.9669e-06 + RelativeStatFSR: 0.00063008 + SinglePionECAL: 0.0018052 + SinglePionHCAL: 0.00091483 + TimePtEta: 0.016293 + Lumi: 0.0068907 + model: 0.0013733 +- all uncorr. unc.: 0.00085537 + AbsoluteMPFBias: 0.003632 + AbsoluteScale: 0.0022118 + fake: 2.9748e-07 + FlavorQCD: 0.0012166 + Fragmentation: -0.00077427 + JER: -0.00091523 + miss: 0.00021019 + PileUpDataMC: 0.00023745 + PileUpPtBB: -0.00011637 + PileUpPtEC1: 3.1057e-07 + PileUpPtEC2: -2.9969e-08 + PileUpPtRef: -0.00015325 + Pref: -0.00087095 + PU: 0.00011383 + RelativeBal: 0.00081121 + RelativeFSR: -0.00016489 + RelativeJEREC1: -2.3897e-06 + RelativeJEREC2: -3.3873e-07 + RelativePtBB: 0.001271 + RelativePtEC1: -7.2463e-07 + RelativePtEC2: -2.5119e-08 + RelativeSample: -0.0036374 + RelativeStatEC: -3.1738e-06 + RelativeStatFSR: 0.00026159 + SinglePionECAL: 0.00083667 + SinglePionHCAL: 0.00043507 + TimePtEta: 0.0067824 + Lumi: 0.0027811 + model: 0.00039323 +- all uncorr. unc.: 0.00040291 + AbsoluteMPFBias: 0.001547 + AbsoluteScale: 0.00094184 + fake: 2.9264e-07 + FlavorQCD: 0.0002822 + Fragmentation: -0.0003532 + JER: -0.00035572 + miss: 9.4576e-05 + PileUpDataMC: 8.5349e-05 + PileUpPtBB: -5.233e-05 + PileUpPtEC1: 1.0908e-07 + PileUpPtEC2: -1.2955e-08 + PileUpPtRef: -5.7273e-05 + Pref: -0.0003153 + PU: 4.6876e-05 + RelativeBal: 0.00035018 + RelativeFSR: -3.8316e-05 + RelativeJEREC1: -1.4638e-06 + RelativeJEREC2: -3.0749e-07 + RelativePtBB: 0.00058381 + RelativePtEC1: -3.0978e-07 + RelativePtEC2: -1.1393e-08 + RelativeSample: -0.0017018 + RelativeStatEC: -1.7259e-06 + RelativeStatFSR: 0.00010944 + SinglePionECAL: 0.00038333 + SinglePionHCAL: 0.00020716 + TimePtEta: 0.0028663 + Lumi: 0.0011331 + model: 0.0001101 +- all uncorr. unc.: 0.00020283 + AbsoluteMPFBias: 0.00065358 + AbsoluteScale: 0.00039709 + fake: 1.6167e-07 + FlavorQCD: 2.7662e-05 + Fragmentation: -0.00015666 + JER: -0.00014577 + miss: 4.1621e-05 + PileUpDataMC: 3.0395e-05 + PileUpPtBB: -2.1679e-05 + PileUpPtEC1: -1.5193e-07 + PileUpPtEC2: -5.9091e-09 + PileUpPtRef: -1.7508e-05 + Pref: -0.00011859 + PU: 1.8934e-05 + RelativeBal: 0.00014993 + RelativeFSR: -3.1664e-06 + RelativeJEREC1: -7.2463e-07 + RelativeJEREC2: -1.6439e-07 + RelativePtBB: 0.00026447 + RelativePtEC1: -1.3016e-07 + RelativePtEC2: -5.5362e-09 + RelativeSample: -0.00077888 + RelativeStatEC: -8.0822e-07 + RelativeStatFSR: 4.5097e-05 + SinglePionECAL: 0.0001706 + SinglePionHCAL: 9.6636e-05 + TimePtEta: 0.0012018 + Lumi: 0.00045538 + model: 2.8431e-06 +- all uncorr. unc.: 0.00011119 + AbsoluteMPFBias: 0.00027992 + AbsoluteScale: 0.00016941 + fake: 6.1657e-08 + FlavorQCD: -2.5998e-05 + Fragmentation: -6.929e-05 + JER: -6.2805e-05 + miss: 1.8318e-05 + PileUpDataMC: 1.0947e-05 + PileUpPtBB: -8.5718e-06 + PileUpPtEC1: -1.1045e-07 + PileUpPtEC2: -2.9101e-09 + PileUpPtRef: -3.2827e-06 + Pref: -4.4518e-05 + PU: 7.7278e-06 + RelativeBal: 6.4531e-05 + RelativeFSR: 4.8773e-06 + RelativeJEREC1: -2.8583e-07 + RelativeJEREC2: -6.0337e-08 + RelativePtBB: 0.00012102 + RelativePtEC1: -5.4994e-08 + RelativePtEC2: -2.9154e-09 + RelativeSample: -0.00035744 + RelativeStatEC: -3.1917e-07 + RelativeStatFSR: 1.8769e-05 + SinglePionECAL: 7.5662e-05 + SinglePionHCAL: 4.5175e-05 + TimePtEta: 0.00051102 + Lumi: 0.00018462 + model: -9.5374e-06 +- all uncorr. unc.: 6.3022e-05 + AbsoluteMPFBias: 0.00011535 + AbsoluteScale: 6.9435e-05 + fake: 9.3897e-09 + FlavorQCD: -2.4677e-05 + Fragmentation: -2.9093e-05 + JER: -2.884e-05 + miss: 7.6617e-06 + PileUpDataMC: 3.7746e-06 + PileUpPtBB: -3.0675e-06 + PileUpPtEC1: -6.3663e-08 + PileUpPtEC2: -1.4421e-09 + PileUpPtRef: 8.9305e-07 + Pref: -1.6944e-05 + PU: 3.1053e-06 + RelativeBal: 2.6529e-05 + RelativeFSR: 3.9499e-06 + RelativeJEREC1: -6.8233e-08 + RelativeJEREC2: -7.4615e-09 + RelativePtBB: 5.3175e-05 + RelativePtEC1: -2.2201e-08 + RelativePtEC2: -1.3853e-09 + RelativeSample: -0.0001565 + RelativeStatEC: -1.0491e-07 + RelativeStatFSR: 7.5271e-06 + SinglePionECAL: 3.1841e-05 + SinglePionHCAL: 2.0111e-05 + TimePtEta: 0.00020923 + Lumi: 7.1715e-05 + model: -1.2729e-05 +- all uncorr. unc.: 3.6451e-05 + AbsoluteMPFBias: 4.7111e-05 + AbsoluteScale: 2.8165e-05 + fake: -8.809e-09 + FlavorQCD: -1.5247e-05 + Fragmentation: -1.1974e-05 + JER: -1.3864e-05 + miss: 3.1408e-06 + PileUpDataMC: 1.2782e-06 + PileUpPtBB: -1.0001e-06 + PileUpPtEC1: -3.3029e-08 + PileUpPtEC2: -7.2372e-10 + PileUpPtRef: 1.4674e-06 + Pref: -5.6497e-06 + PU: 1.2538e-06 + RelativeBal: 1.074e-05 + RelativeFSR: 2.3259e-06 + RelativeJEREC1: 2.5791e-08 + RelativeJEREC2: 1.029e-08 + RelativePtBB: 2.3132e-05 + RelativePtEC1: -8.8436e-09 + RelativePtEC2: -6.2586e-10 + RelativeSample: -6.7466e-05 + RelativeStatEC: -4.8998e-08 + RelativeStatFSR: 2.9807e-06 + SinglePionECAL: 1.3129e-05 + SinglePionHCAL: 8.7929e-06 + TimePtEta: 8.4968e-05 + Lumi: 2.7509e-05 + model: -8.0407e-06 +- all uncorr. unc.: 2.0746e-05 + AbsoluteMPFBias: 1.8848e-05 + AbsoluteScale: 1.1179e-05 + fake: -1.12e-08 + FlavorQCD: -7.9569e-06 + Fragmentation: -4.7837e-06 + JER: -6.7208e-06 + miss: 1.2488e-06 + PileUpDataMC: 4.1788e-07 + PileUpPtBB: -2.7981e-07 + PileUpPtEC1: -1.5828e-08 + PileUpPtEC2: -3.5696e-10 + PileUpPtRef: 1.0924e-06 + Pref: -2.0421e-06 + PU: 5.037e-07 + RelativeBal: 4.2364e-06 + RelativeFSR: 1.1833e-06 + RelativeJEREC1: 2.8551e-08 + RelativeJEREC2: 1.212e-08 + RelativePtBB: 9.8515e-06 + RelativePtEC1: -3.435e-09 + RelativePtEC2: -2.8491e-10 + RelativeSample: -2.8347e-05 + RelativeStatEC: 2.2526e-08 + RelativeStatFSR: 1.1526e-06 + SinglePionECAL: 5.2537e-06 + SinglePionHCAL: 3.7358e-06 + TimePtEta: 3.3832e-05 + Lumi: 1.0306e-05 + model: -4.5072e-06 +- all uncorr. unc.: 1.151e-05 + AbsoluteMPFBias: 6.7168e-06 + AbsoluteScale: 3.9482e-06 + fake: -7.685e-09 + FlavorQCD: -3.4258e-06 + Fragmentation: -1.6895e-06 + JER: -2.9281e-06 + miss: 4.3834e-07 + PileUpDataMC: 1.1889e-07 + PileUpPtBB: -5.1834e-08 + PileUpPtEC1: -6.4929e-09 + PileUpPtEC2: -1.5565e-10 + PileUpPtRef: 5.8887e-07 + Pref: -4.2312e-07 + PU: 1.8305e-07 + RelativeBal: 1.4816e-06 + RelativeFSR: 5.0056e-07 + RelativeJEREC1: 2.1774e-08 + RelativeJEREC2: 8.1453e-09 + RelativePtBB: 3.7356e-06 + RelativePtEC1: -1.1831e-09 + RelativePtEC2: -1.2277e-10 + RelativeSample: -1.0568e-05 + RelativeStatEC: 1.683e-08 + RelativeStatFSR: 3.9596e-07 + SinglePionECAL: 1.8581e-06 + SinglePionHCAL: 1.4038e-06 + TimePtEta: 1.201e-05 + Lumi: 3.4302e-06 + model: -2.7986e-06 +- all uncorr. unc.: 6.3252e-06 + AbsoluteMPFBias: 2.5002e-06 + AbsoluteScale: 1.4555e-06 + fake: -4.5883e-09 + FlavorQCD: -1.4698e-06 + Fragmentation: -6.1936e-07 + JER: -1.3275e-06 + miss: 1.5944e-07 + PileUpDataMC: 3.4052e-08 + PileUpPtBB: -7.6455e-09 + PileUpPtEC1: -2.7029e-09 + PileUpPtEC2: -6.9982e-11 + PileUpPtRef: 2.995e-07 + Pref: -2.6477e-07 + PU: 7.0453e-08 + RelativeBal: 5.3912e-07 + RelativeFSR: 2.117e-07 + RelativeJEREC1: 1.3552e-08 + RelativeJEREC2: 4.8141e-09 + RelativePtBB: 1.4789e-06 + RelativePtEC1: -4.2406e-10 + RelativePtEC2: -5.4937e-11 + RelativeSample: -4.1025e-06 + RelativeStatEC: 1.0831e-08 + RelativeStatFSR: 1.4177e-07 + SinglePionECAL: 6.82e-07 + SinglePionHCAL: 5.4758e-07 + TimePtEta: 4.4572e-06 + Lumi: 1.1901e-06 + model: -7.9754e-07 +- all uncorr. unc.: 3.437e-06 + AbsoluteMPFBias: 8.7627e-07 + AbsoluteScale: 5.0491e-07 + fake: -2.3318e-09 + FlavorQCD: -5.7505e-07 + Fragmentation: -2.1266e-07 + JER: -5.6062e-07 + miss: 5.4212e-08 + PileUpDataMC: 8.6327e-09 + PileUpPtBB: 1.0172e-08 + PileUpPtEC1: -1.0364e-09 + PileUpPtEC2: -2.918e-11 + PileUpPtRef: 1.3479e-07 + Pref: -6.1781e-08 + PU: 2.5822e-08 + RelativeBal: 1.8411e-07 + RelativeFSR: 8.1805e-08 + RelativeJEREC1: 7.0388e-09 + RelativeJEREC2: 2.4316e-09 + RelativePtBB: 5.5085e-07 + RelativePtEC1: -1.4267e-10 + RelativePtEC2: -2.2916e-11 + RelativeSample: -1.4959e-06 + RelativeStatEC: 5.7071e-09 + RelativeStatFSR: 4.7713e-08 + SinglePionECAL: 2.3443e-07 + SinglePionHCAL: 1.9999e-07 + TimePtEta: 1.5588e-06 + Lumi: 3.8816e-07 + model: -8.9954e-07 +- all uncorr. unc.: 1.7006e-06 + AbsoluteMPFBias: 1.5736e-07 + AbsoluteScale: 8.9716e-08 + fake: -5.6817e-10 + FlavorQCD: -1.1265e-07 + Fragmentation: -3.7257e-08 + JER: -1.1964e-07 + miss: 9.3851e-09 + PileUpDataMC: 9.9868e-10 + PileUpPtBB: 3.1854e-09 + PileUpPtEC1: -2.0011e-10 + PileUpPtEC2: -6.1374e-12 + PileUpPtRef: 2.9777e-08 + Pref: -5.1243e-09 + PU: 4.8895e-09 + RelativeBal: 3.2132e-08 + RelativeFSR: 1.5929e-08 + RelativeJEREC1: 1.7378e-09 + RelativeJEREC2: 5.9002e-10 + RelativePtBB: 1.0502e-07 + RelativePtEC1: -2.4536e-11 + RelativePtEC2: -4.839e-12 + RelativeSample: -2.7891e-07 + RelativeStatEC: 1.4192e-09 + RelativeStatFSR: 8.218e-09 + SinglePionECAL: 4.111e-08 + SinglePionHCAL: 3.724e-08 + TimePtEta: 2.7957e-07 + Lumi: 6.481e-08 + model: -1.1559e-07 +- all uncorr. unc.: 68.891 + AbsoluteMPFBias: 141.23 + AbsoluteScale: 86.471 + fake: -1.5685 + FlavorQCD: 415.59 + Fragmentation: 28.603 + JER: -312.92 + miss: 14.641 + PileUpDataMC: 69.646 + PileUpPtBB: 35.505 + PileUpPtEC1: 16.582 + PileUpPtEC2: -0.086065 + PileUpPtRef: 22.867 + Pref: -35.262 + PU: -23.348 + RelativeBal: -102.72 + RelativeFSR: -23.004 + RelativeJEREC1: 44.316 + RelativeJEREC2: -2.9787 + RelativePtBB: -13.159 + RelativePtEC1: -1.5936 + RelativePtEC2: 0.026605 + RelativeSample: 246.14 + RelativeStatEC: 3.2717 + RelativeStatFSR: 11.892 + SinglePionECAL: -39.868 + SinglePionHCAL: -10.096 + TimePtEta: 273.29 + Lumi: 147.96 + model: 232.74 +- all uncorr. unc.: 18.635 + AbsoluteMPFBias: 32.8 + AbsoluteScale: 19.864 + fake: -0.044488 + FlavorQCD: 76.267 + Fragmentation: 5.0221 + JER: -46.421 + miss: 1.8294 + PileUpDataMC: 10.938 + PileUpPtBB: 3.4813 + PileUpPtEC1: 1.5197 + PileUpPtEC2: -0.0067861 + PileUpPtRef: 4.0145 + Pref: -11.672 + PU: -2.7754 + RelativeBal: -15.453 + RelativeFSR: 2.0381 + RelativeJEREC1: 8.5944 + RelativeJEREC2: -0.068837 + RelativePtBB: -1.5113 + RelativePtEC1: -0.13528 + RelativePtEC2: 0.0026493 + RelativeSample: 35.852 + RelativeStatEC: 1.6609 + RelativeStatFSR: 2.5191 + SinglePionECAL: -5.6784 + SinglePionHCAL: -2.3004 + TimePtEta: 62.151 + Lumi: 31.633 + model: 0.80518 +- all uncorr. unc.: 3.928 + AbsoluteMPFBias: 9.1265 + AbsoluteScale: 5.4192 + fake: 0.011487 + FlavorQCD: 18.033 + Fragmentation: 0.74786 + JER: -9.7723 + miss: 0.33754 + PileUpDataMC: 2.3168 + PileUpPtBB: 0.29094 + PileUpPtEC1: 0.045396 + PileUpPtEC2: -0.00031339 + PileUpPtRef: 0.78998 + Pref: -4.5735 + PU: -0.34619 + RelativeBal: -2.2128 + RelativeFSR: 0.44434 + RelativeJEREC1: 2.063 + RelativeJEREC2: 0.026162 + RelativePtBB: 0.13924 + RelativePtEC1: 0.014901 + RelativePtEC2: 0.00023876 + RelativeSample: 4.4773 + RelativeStatEC: 0.63548 + RelativeStatFSR: 0.67056 + SinglePionECAL: -0.85549 + SinglePionHCAL: -0.36435 + TimePtEta: 17.235 + Lumi: 8.3305 + model: 2.4722 +- all uncorr. unc.: 1.315 + AbsoluteMPFBias: 2.7441 + AbsoluteScale: 1.6238 + fake: 0.0039577 + FlavorQCD: 4.7454 + Fragmentation: 0.046443 + JER: -2.5076 + miss: 0.085642 + PileUpDataMC: 0.54901 + PileUpPtBB: -0.074703 + PileUpPtEC1: -0.06041 + PileUpPtEC2: 9.4131e-05 + PileUpPtRef: 0.14967 + Pref: -1.5086 + PU: -0.023425 + RelativeBal: -0.13288 + RelativeFSR: 0.19219 + RelativeJEREC1: 0.55147 + RelativeJEREC2: 0.0084642 + RelativePtBB: 0.19811 + RelativePtEC1: 0.016246 + RelativePtEC2: 3.794e-05 + RelativeSample: -0.08001 + RelativeStatEC: 0.23285 + RelativeStatFSR: 0.20094 + SinglePionECAL: -0.083479 + SinglePionHCAL: -0.017123 + TimePtEta: 5.1873 + Lumi: 2.4377 + model: 1.0072 +- all uncorr. unc.: 0.34078 + AbsoluteMPFBias: 0.88523 + AbsoluteScale: 0.52541 + fake: 0.0007851 + FlavorQCD: 1.3379 + Fragmentation: -0.034785 + JER: -0.73119 + miss: 0.027787 + PileUpDataMC: 0.14154 + PileUpPtBB: -0.055424 + PileUpPtEC1: -0.031787 + PileUpPtEC2: 4.6531e-05 + PileUpPtRef: 0.023308 + Pref: -0.54006 + PU: 0.010261 + RelativeBal: 0.10528 + RelativeFSR: 0.085751 + RelativeJEREC1: 0.1598 + RelativeJEREC2: 0.0016655 + RelativePtBB: 0.10947 + RelativePtEC1: 0.0085732 + RelativePtEC2: 1.427e-05 + RelativeSample: -0.42177 + RelativeStatEC: 0.086106 + RelativeStatFSR: 0.065804 + SinglePionECAL: 0.025527 + SinglePionHCAL: 0.020856 + TimePtEta: 1.68 + Lumi: 0.77285 + model: 0.37702 +- all uncorr. unc.: 0.098705 + AbsoluteMPFBias: 0.30698 + AbsoluteScale: 0.18327 + fake: 8.2206e-05 + FlavorQCD: 0.39998 + Fragmentation: -0.025752 + JER: -0.23364 + miss: 0.010544 + PileUpDataMC: 0.039362 + PileUpPtBB: -0.027102 + PileUpPtEC1: -0.013049 + PileUpPtEC2: 1.3978e-05 + PileUpPtRef: 0.0017427 + Pref: -0.1785 + PU: 0.0078277 + RelativeBal: 0.08156 + RelativeFSR: 0.037916 + RelativeJEREC1: 0.04975 + RelativeJEREC2: 0.00017922 + RelativePtBB: 0.051884 + RelativePtEC1: 0.0039977 + RelativePtEC2: 6.7053e-06 + RelativeSample: -0.26873 + RelativeStatEC: 0.032863 + RelativeStatFSR: 0.023666 + SinglePionECAL: 0.022489 + SinglePionHCAL: 0.014589 + TimePtEta: 0.58939 + Lumi: 0.26347 + model: 0.12775 +- all uncorr. unc.: 0.034199 + AbsoluteMPFBias: 0.11169 + AbsoluteScale: 0.067117 + fake: -1.6564e-05 + FlavorQCD: 0.12243 + Fragmentation: -0.013258 + JER: -0.078316 + miss: 0.0042924 + PileUpDataMC: 0.011453 + PileUpPtBB: -0.011227 + PileUpPtEC1: -0.0048377 + PileUpPtEC2: 3.0445e-06 + PileUpPtRef: -0.001957 + Pref: -0.052324 + PU: 0.0039182 + RelativeBal: 0.044431 + RelativeFSR: 0.01666 + RelativeJEREC1: 0.016127 + RelativeJEREC2: -3.2068e-05 + RelativePtBB: 0.023396 + RelativePtEC1: 0.0017811 + RelativePtEC2: 2.5249e-06 + RelativeSample: -0.13793 + RelativeStatEC: 0.012756 + RelativeStatFSR: 0.0088619 + SinglePionECAL: 0.013048 + SinglePionHCAL: 0.0073731 + TimePtEta: 0.2153 + Lumi: 0.093757 + model: 0.037833 +- all uncorr. unc.: 0.012786 + AbsoluteMPFBias: 0.042089 + AbsoluteScale: 0.025432 + fake: -1.2165e-05 + FlavorQCD: 0.037572 + Fragmentation: -0.006115 + JER: -0.027046 + miss: 0.001794 + PileUpDataMC: 0.0034439 + PileUpPtBB: -0.0042018 + PileUpPtEC1: -0.0016641 + PileUpPtEC2: 5.8982e-07 + PileUpPtRef: -0.0013207 + Pref: -0.015734 + PU: 0.0017385 + RelativeBal: 0.021979 + RelativeFSR: 0.0071284 + RelativeJEREC1: 0.0053563 + RelativeJEREC2: -2.4943e-05 + RelativePtBB: 0.010354 + RelativePtEC1: 0.00077616 + RelativePtEC2: 8.7037e-07 + RelativeSample: -0.066046 + RelativeStatEC: 0.0049924 + RelativeStatFSR: 0.0033907 + SinglePionECAL: 0.0064992 + SinglePionHCAL: 0.0033737 + TimePtEta: 0.08062 + Lumi: 0.034278 + model: 0.0127 +- all uncorr. unc.: 0.0044396 + AbsoluteMPFBias: 0.016497 + AbsoluteScale: 0.010005 + fake: -3.2804e-06 + FlavorQCD: 0.01146 + Fragmentation: -0.0027446 + JER: -0.0096946 + miss: 0.0007655 + PileUpDataMC: 0.0010761 + PileUpPtBB: -0.0014447 + PileUpPtEC1: -0.00053137 + PileUpPtEC2: -2.0655e-07 + PileUpPtRef: -0.00065201 + Pref: -0.0048656 + PU: 0.00074233 + RelativeBal: 0.010574 + RelativeFSR: 0.0030395 + RelativeJEREC1: 0.0018249 + RelativeJEREC2: -7.0214e-06 + RelativePtBB: 0.0046254 + RelativePtEC1: 0.00033732 + RelativePtEC2: 2.9219e-07 + RelativeSample: -0.031046 + RelativeStatEC: 0.002004 + RelativeStatFSR: 0.0013311 + SinglePionECAL: 0.0030659 + SinglePionHCAL: 0.001534 + TimePtEta: 0.031051 + Lumi: 0.012912 + model: 0.0028838 +- all uncorr. unc.: 0.0017648 + AbsoluteMPFBias: 0.006543 + AbsoluteScale: 0.0039737 + fake: 1.6099e-07 + FlavorQCD: 0.0033109 + Fragmentation: -0.0012462 + JER: -0.0035433 + miss: 0.00032388 + PileUpDataMC: 0.00034145 + PileUpPtBB: -0.00044435 + PileUpPtEC1: -0.00014534 + PileUpPtEC2: -1.3972e-07 + PileUpPtRef: -0.00028123 + Pref: -0.0015622 + PU: 0.00030603 + RelativeBal: 0.0049411 + RelativeFSR: 0.0012958 + RelativeJEREC1: 0.00062266 + RelativeJEREC2: 1.0725e-07 + RelativePtBB: 0.0020546 + RelativePtEC1: 0.00014351 + RelativePtEC2: 9.7229e-08 + RelativeSample: -0.014258 + RelativeStatEC: 0.00079783 + RelativeStatFSR: 0.00052174 + SinglePionECAL: 0.0013799 + SinglePionHCAL: 0.00069028 + TimePtEta: 0.011963 + Lumi: 0.0048728 + model: 0.00056097 +- all uncorr. unc.: 0.00076747 + AbsoluteMPFBias: 0.0026613 + AbsoluteScale: 0.0016145 + fake: 6.9812e-07 + FlavorQCD: 0.00089157 + Fragmentation: -0.00055693 + JER: -0.0013581 + miss: 0.00013793 + PileUpDataMC: 0.00011262 + PileUpPtBB: -0.00010645 + PileUpPtEC1: -2.8356e-05 + PileUpPtEC2: -6.4826e-08 + PileUpPtRef: -0.00011248 + Pref: -0.00053249 + PU: 0.00012547 + RelativeBal: 0.0023025 + RelativeFSR: 0.00055339 + RelativeJEREC1: 0.00021515 + RelativeJEREC2: 1.3139e-06 + RelativePtBB: 0.00092643 + RelativePtEC1: 6.0958e-05 + RelativePtEC2: 3.4368e-08 + RelativeSample: -0.0065564 + RelativeStatEC: 0.00031967 + RelativeStatFSR: 0.00020719 + SinglePionECAL: 0.00061068 + SinglePionHCAL: 0.00031239 + TimePtEta: 0.0046779 + Lumi: 0.0018687 + model: -5.1984e-05 +- all uncorr. unc.: 0.00035409 + AbsoluteMPFBias: 0.0010634 + AbsoluteScale: 0.00064291 + fake: 4.3268e-07 + FlavorQCD: 0.00018757 + Fragmentation: -0.00023723 + JER: -0.00053176 + miss: 5.6851e-05 + PileUpDataMC: 3.7299e-05 + PileUpPtBB: -4.7946e-06 + PileUpPtEC1: 1.7472e-06 + PileUpPtEC2: -2.084e-08 + PileUpPtRef: -3.8221e-05 + Pref: -0.00018403 + PU: 4.9533e-05 + RelativeBal: 0.0010343 + RelativeFSR: 0.00022779 + RelativeJEREC1: 7.1873e-05 + RelativeJEREC2: 8.4023e-07 + RelativePtBB: 0.00040795 + RelativePtEC1: 2.4905e-05 + RelativePtEC2: 1.3063e-08 + RelativeSample: -0.0029151 + RelativeStatEC: 0.00012385 + RelativeStatFSR: 8.1005e-05 + SinglePionECAL: 0.00025748 + SinglePionHCAL: 0.00013801 + TimePtEta: 0.00178 + Lumi: 0.00069816 + model: -5.1296e-05 +- all uncorr. unc.: 0.00017402 + AbsoluteMPFBias: 0.00042165 + AbsoluteScale: 0.00025351 + fake: 1.5652e-07 + FlavorQCD: 1.5737e-05 + Fragmentation: -0.00010101 + JER: -0.00022145 + miss: 2.2992e-05 + PileUpDataMC: 1.2647e-05 + PileUpPtBB: 1.568e-05 + PileUpPtEC1: 5.9056e-06 + PileUpPtEC2: -4.4861e-09 + PileUpPtRef: -1.0285e-05 + Pref: -5.8612e-05 + PU: 1.9151e-05 + RelativeBal: 0.00045468 + RelativeFSR: 9.1577e-05 + RelativeJEREC1: 2.3409e-05 + RelativeJEREC2: 3.0805e-07 + RelativePtBB: 0.0001775 + RelativePtEC1: 9.9245e-06 + RelativePtEC2: -5.5418e-09 + RelativeSample: -0.0012719 + RelativeStatEC: 4.6969e-05 + RelativeStatFSR: 3.1218e-05 + SinglePionECAL: 0.00010751 + SinglePionHCAL: 6.222e-05 + TimePtEta: 0.00066938 + Lumi: 0.00025689 + model: -5.3964e-05 +- all uncorr. unc.: 9.1166e-05 + AbsoluteMPFBias: 0.00016249 + AbsoluteScale: 9.7041e-05 + fake: 1.563e-08 + FlavorQCD: -1.6597e-05 + Fragmentation: -4.2778e-05 + JER: -9.1841e-05 + miss: 8.9672e-06 + PileUpDataMC: 4.3354e-06 + PileUpPtBB: 1.3537e-05 + PileUpPtEC1: 4.1972e-06 + PileUpPtEC2: 2.0324e-09 + PileUpPtRef: -1.7403e-06 + Pref: -2.2699e-05 + PU: 7.1414e-06 + RelativeBal: 0.0001921 + RelativeFSR: 3.5316e-05 + RelativeJEREC1: 7.2782e-06 + RelativeJEREC2: 3.1829e-08 + RelativePtBB: 7.4757e-05 + RelativePtEC1: 3.7905e-06 + RelativePtEC2: -2.513e-09 + RelativeSample: -0.00053466 + RelativeStatEC: 1.7123e-05 + RelativeStatFSR: 1.1619e-05 + SinglePionECAL: 4.3125e-05 + SinglePionHCAL: 2.7443e-05 + TimePtEta: 0.00024871 + Lumi: 9.1336e-05 + model: -1.68e-05 +- all uncorr. unc.: 4.8449e-05 + AbsoluteMPFBias: 5.9617e-05 + AbsoluteScale: 3.5365e-05 + fake: -2.6673e-08 + FlavorQCD: -1.3077e-05 + Fragmentation: -1.732e-05 + JER: -3.6864e-05 + miss: 3.3142e-06 + PileUpDataMC: 1.4748e-06 + PileUpPtBB: 7.8889e-06 + PileUpPtEC1: 2.1908e-06 + PileUpPtEC2: 1.8382e-09 + PileUpPtRef: 6.7757e-07 + Pref: -5.9663e-06 + PU: 2.5456e-06 + RelativeBal: 7.6694e-05 + RelativeFSR: 1.283e-05 + RelativeJEREC1: 2.1115e-06 + RelativeJEREC2: -5.2051e-08 + RelativePtBB: 2.9857e-05 + RelativePtEC1: 1.3631e-06 + RelativePtEC2: -1.1382e-09 + RelativeSample: -0.00021255 + RelativeStatEC: 5.8906e-06 + RelativeStatFSR: 4.0967e-06 + SinglePionECAL: 1.6261e-05 + SinglePionHCAL: 1.1551e-05 + TimePtEta: 8.798e-05 + Lumi: 3.0783e-05 + model: -7.468e-06 +- all uncorr. unc.: 2.5526e-05 + AbsoluteMPFBias: 2.0623e-05 + AbsoluteScale: 1.2138e-05 + fake: -2.6126e-08 + FlavorQCD: -6.6446e-06 + Fragmentation: -6.6277e-06 + JER: -1.4081e-05 + miss: 1.1525e-06 + PileUpDataMC: 5.3117e-07 + PileUpPtBB: 3.7749e-06 + PileUpPtEC1: 9.6049e-07 + PileUpPtEC2: 1.1308e-09 + PileUpPtRef: 7.0008e-07 + Pref: -2.3868e-06 + PU: 8.6607e-07 + RelativeBal: 2.8794e-05 + RelativeFSR: 4.3663e-06 + RelativeJEREC1: 5.634e-07 + RelativeJEREC2: -5.1384e-08 + RelativePtBB: 1.1198e-05 + RelativePtEC1: 4.5815e-07 + RelativePtEC2: -4.9101e-10 + RelativeSample: -7.9252e-05 + RelativeStatEC: 1.897e-06 + RelativeStatFSR: 1.3564e-06 + SinglePionECAL: 5.7244e-06 + SinglePionHCAL: 4.5773e-06 + TimePtEta: 2.9364e-05 + Lumi: 9.75e-06 + model: -6.0917e-07 +- all uncorr. unc.: 1.2879e-05 + AbsoluteMPFBias: 6.1185e-06 + AbsoluteScale: 3.57e-06 + fake: -1.4398e-08 + FlavorQCD: -2.5183e-06 + Fragmentation: -2.176e-06 + JER: -4.6766e-06 + miss: 3.4376e-07 + PileUpDataMC: 1.8005e-07 + PileUpPtBB: 1.4347e-06 + PileUpPtEC1: 3.3791e-07 + PileUpPtEC2: 4.908e-10 + PileUpPtRef: 3.5892e-07 + Pref: -3.1903e-07 + PU: 2.5348e-07 + RelativeBal: 9.2107e-06 + RelativeFSR: 1.3304e-06 + RelativeJEREC1: 1.2483e-07 + RelativeJEREC2: -2.8403e-08 + RelativePtBB: 3.5872e-06 + RelativePtEC1: 1.3118e-07 + RelativePtEC2: -1.7981e-10 + RelativeSample: -2.5242e-05 + RelativeStatEC: 5.2103e-07 + RelativeStatFSR: 3.8409e-07 + SinglePionECAL: 1.715e-06 + SinglePionHCAL: 1.5491e-06 + TimePtEta: 8.4163e-06 + Lumi: 2.6428e-06 + model: 9.4733e-09 +- all uncorr. unc.: 6.8016e-06 + AbsoluteMPFBias: 1.6766e-06 + AbsoluteScale: 9.6919e-07 + fake: -6.1854e-09 + FlavorQCD: -8.1948e-07 + Fragmentation: -6.59e-07 + JER: -1.4634e-06 + miss: 9.484e-08 + PileUpDataMC: 5.8099e-08 + PileUpPtBB: 4.7946e-07 + PileUpPtEC1: 1.0516e-07 + PileUpPtEC2: 1.7773e-10 + PileUpPtRef: 1.4236e-07 + Pref: -1.3501e-07 + PU: 6.878e-08 + RelativeBal: 2.7051e-06 + RelativeFSR: 3.7746e-07 + RelativeJEREC1: 2.4369e-08 + RelativeJEREC2: -1.2223e-08 + RelativePtBB: 1.057e-06 + RelativePtEC1: 3.4504e-08 + RelativePtEC2: -5.9716e-11 + RelativeSample: -7.402e-06 + RelativeStatEC: 1.3157e-07 + RelativeStatFSR: 1.0023e-07 + SinglePionECAL: 4.7174e-07 + SinglePionHCAL: 4.8132e-07 + TimePtEta: 2.2314e-06 + Lumi: 6.6061e-07 + model: 3.3434e-07 +- all uncorr. unc.: 2.7737e-06 + AbsoluteMPFBias: 4.8943e-07 + AbsoluteScale: 2.8017e-07 + fake: -2.5702e-09 + FlavorQCD: -2.7164e-07 + Fragmentation: -2.1205e-07 + JER: -4.864e-07 + miss: 2.7943e-08 + PileUpDataMC: 2.0153e-08 + PileUpPtBB: 1.6493e-07 + PileUpPtEC1: 3.3818e-08 + PileUpPtEC2: 6.4327e-11 + PileUpPtRef: 5.4904e-08 + Pref: 8.0898e-10 + PU: 1.9964e-08 + RelativeBal: 8.4165e-07 + RelativeFSR: 1.1494e-07 + RelativeJEREC1: 4.6964e-09 + RelativeJEREC2: -5.0847e-09 + RelativePtBB: 3.3058e-07 + RelativePtEC1: 9.6285e-09 + RelativePtEC2: -2.0703e-11 + RelativeSample: -2.3065e-06 + RelativeStatEC: 3.5265e-08 + RelativeStatFSR: 2.7823e-08 + SinglePionECAL: 1.3758e-07 + SinglePionHCAL: 1.5821e-07 + TimePtEta: 6.3132e-07 + Lumi: 1.7577e-07 + model: 2.3929e-07 +- all uncorr. unc.: 56.896 + AbsoluteMPFBias: 125.27 + AbsoluteScale: 77.644 + fake: -1.814 + FlavorQCD: 346.23 + Fragmentation: 24.932 + JER: -262.03 + miss: 13.206 + PileUpDataMC: 45.14 + PileUpPtBB: -2.2016 + PileUpPtEC1: 39.172 + PileUpPtEC2: -0.33392 + PileUpPtRef: 21.035 + Pref: -28.503 + PU: 7.4514 + RelativeBal: -80.969 + RelativeFSR: -97.141 + RelativeJEREC1: 128.02 + RelativeJEREC2: -10.624 + RelativePtBB: -0.326 + RelativePtEC1: -0.80993 + RelativePtEC2: -0.19239 + RelativeSample: -224.95 + RelativeStatEC: 68.232 + RelativeStatFSR: 16.967 + SinglePionECAL: -38.838 + SinglePionHCAL: -11.093 + TimePtEta: 238.48 + Lumi: 118.31 + model: 162.88 +- all uncorr. unc.: 14.83 + AbsoluteMPFBias: 27.909 + AbsoluteScale: 17.965 + fake: -0.036352 + FlavorQCD: 66.535 + Fragmentation: 4.4441 + JER: -35.629 + miss: 1.839 + PileUpDataMC: 8.3353 + PileUpPtBB: -0.054197 + PileUpPtEC1: 4.0384 + PileUpPtEC2: 0.012368 + PileUpPtRef: 3.5012 + Pref: -9.0606 + PU: 3.2027 + RelativeBal: -12.861 + RelativeFSR: -13.145 + RelativeJEREC1: 24.98 + RelativeJEREC2: -0.53988 + RelativePtBB: 0.034747 + RelativePtEC1: -0.35527 + RelativePtEC2: -0.0072931 + RelativeSample: -40.978 + RelativeStatEC: 17.573 + RelativeStatFSR: 3.5753 + SinglePionECAL: -4.9251 + SinglePionHCAL: -1.9403 + TimePtEta: 53.919 + Lumi: 25.034 + model: 6.3666 +- all uncorr. unc.: 3.0987 + AbsoluteMPFBias: 7.4242 + AbsoluteScale: 4.7155 + fake: 0.013797 + FlavorQCD: 15.284 + Fragmentation: 0.73132 + JER: -7.1189 + miss: 0.37527 + PileUpDataMC: 1.8052 + PileUpPtBB: 0.013825 + PileUpPtEC1: 0.4096 + PileUpPtEC2: 0.004343 + PileUpPtRef: 0.72288 + Pref: -3.2591 + PU: 0.93841 + RelativeBal: -2.4718 + RelativeFSR: -1.3569 + RelativeJEREC1: 6.1101 + RelativeJEREC2: -0.056887 + RelativePtBB: 0.0027775 + RelativePtEC1: 0.052423 + RelativePtEC2: -0.0015203 + RelativeSample: -10.618 + RelativeStatEC: 4.9935 + RelativeStatFSR: 1.0018 + SinglePionECAL: -0.73178 + SinglePionHCAL: -0.2823 + TimePtEta: 14.608 + Lumi: 6.4723 + model: 1.2341 +- all uncorr. unc.: 1.0081 + AbsoluteMPFBias: 2.1081 + AbsoluteScale: 1.2928 + fake: 0.0035969 + FlavorQCD: 3.7258 + Fragmentation: 0.063617 + JER: -1.9404 + miss: 0.095643 + PileUpDataMC: 0.38209 + PileUpPtBB: 0.004041 + PileUpPtEC1: -0.046396 + PileUpPtEC2: 0.0009912 + PileUpPtRef: 0.13804 + Pref: -1.1121 + PU: 0.26564 + RelativeBal: -0.53737 + RelativeFSR: 0.17795 + RelativeJEREC1: 1.6327 + RelativeJEREC2: 0.013447 + RelativePtBB: -0.002977 + RelativePtEC1: 0.043708 + RelativePtEC2: -0.00071872 + RelativeSample: -3.0372 + RelativeStatEC: 1.491 + RelativeStatFSR: 0.27204 + SinglePionECAL: -0.064941 + SinglePionHCAL: -0.01097 + TimePtEta: 4.2024 + Lumi: 1.8156 + model: 0.49958 +- all uncorr. unc.: 0.24102 + AbsoluteMPFBias: 0.67605 + AbsoluteScale: 0.40313 + fake: 0.0004804 + FlavorQCD: 1.0174 + Fragmentation: -0.022467 + JER: -0.59685 + miss: 0.029874 + PileUpDataMC: 0.086328 + PileUpPtBB: 0.00075445 + PileUpPtEC1: -0.043804 + PileUpPtEC2: 0.00012633 + PileUpPtRef: 0.022697 + Pref: -0.36261 + PU: 0.083344 + RelativeBal: -0.11718 + RelativeFSR: 0.21877 + RelativeJEREC1: 0.49256 + RelativeJEREC2: -0.0035282 + RelativePtBB: -0.0013178 + RelativePtEC1: 0.023795 + RelativePtEC2: -0.00022784 + RelativeSample: -0.97407 + RelativeStatEC: 0.50001 + RelativeStatFSR: 0.082108 + SinglePionECAL: 0.020514 + SinglePionHCAL: 0.016459 + TimePtEta: 1.355 + Lumi: 0.57368 + model: 0.10495 +- all uncorr. unc.: 0.063884 + AbsoluteMPFBias: 0.22461 + AbsoluteScale: 0.13473 + fake: -3.0588e-05 + FlavorQCD: 0.28452 + Fragmentation: -0.018125 + JER: -0.18815 + miss: 0.0099599 + PileUpDataMC: 0.019739 + PileUpPtBB: 0.0001562 + PileUpPtEC1: -0.022177 + PileUpPtEC2: -2.0141e-05 + PileUpPtRef: 0.0011153 + Pref: -0.10798 + PU: 0.027341 + RelativeBal: -0.020086 + RelativeFSR: 0.12381 + RelativeJEREC1: 0.15232 + RelativeJEREC2: -0.00093105 + RelativePtBB: -0.00054498 + RelativePtEC1: 0.009937 + RelativePtEC2: -6.2819e-05 + RelativeSample: -0.31875 + RelativeStatEC: 0.17326 + RelativeStatFSR: 0.026124 + SinglePionECAL: 0.017329 + SinglePionHCAL: 0.010773 + TimePtEta: 0.44872 + Lumi: 0.1855 + model: 0.022834 +- all uncorr. unc.: 0.020927 + AbsoluteMPFBias: 0.079148 + AbsoluteScale: 0.04802 + fake: -4.0027e-05 + FlavorQCD: 0.082837 + Fragmentation: -0.0093835 + JER: -0.061897 + miss: 0.0035329 + PileUpDataMC: 0.0054682 + PileUpPtBB: 5.5445e-05 + PileUpPtEC1: -0.0094226 + PileUpPtEC2: -1.3712e-05 + PileUpPtRef: -0.0015026 + Pref: -0.028953 + PU: 0.009663 + RelativeBal: 0.0010892 + RelativeFSR: 0.060862 + RelativeJEREC1: 0.049155 + RelativeJEREC2: -0.00036479 + RelativePtBB: -0.00020417 + RelativePtEC1: 0.0038531 + RelativePtEC2: -1.9041e-05 + RelativeSample: -0.10955 + RelativeStatEC: 0.063527 + RelativeStatFSR: 0.0093766 + SinglePionECAL: 0.0094218 + SinglePionHCAL: 0.0052265 + TimePtEta: 0.15622 + Lumi: 0.062533 + model: -0.0022334 +- all uncorr. unc.: 0.0074861 + AbsoluteMPFBias: 0.028645 + AbsoluteScale: 0.017354 + fake: -1.1991e-05 + FlavorQCD: 0.024137 + Fragmentation: -0.0042529 + JER: -0.020565 + miss: 0.0012792 + PileUpDataMC: 0.0015904 + PileUpPtBB: 2.1748e-05 + PileUpPtEC1: -0.0034695 + PileUpPtEC2: -5.1178e-06 + PileUpPtRef: -0.00094974 + Pref: -0.007884 + PU: 0.0035448 + RelativeBal: 0.0023667 + RelativeFSR: 0.02797 + RelativeJEREC1: 0.016019 + RelativeJEREC2: -9.4884e-05 + RelativePtBB: -7.8357e-05 + RelativePtEC1: 0.0015124 + RelativePtEC2: -5.7169e-06 + RelativeSample: -0.038747 + RelativeStatEC: 0.023837 + RelativeStatFSR: 0.0034428 + SinglePionECAL: 0.0044566 + SinglePionHCAL: 0.0022995 + TimePtEta: 0.055443 + Lumi: 0.021268 + model: -0.0037878 +- all uncorr. unc.: 0.0023912 + AbsoluteMPFBias: 0.010571 + AbsoluteScale: 0.006436 + fake: -7.9664e-07 + FlavorQCD: 0.0068729 + Fragmentation: -0.0018212 + JER: -0.0071909 + miss: 0.0004695 + PileUpDataMC: 0.00047622 + PileUpPtBB: 1.2025e-05 + PileUpPtEC1: -0.0011388 + PileUpPtEC2: -1.1731e-06 + PileUpPtRef: -0.00043086 + Pref: -0.0022801 + PU: 0.0013272 + RelativeBal: 0.0015065 + RelativeFSR: 0.012414 + RelativeJEREC1: 0.0052375 + RelativeJEREC2: -1.3987e-05 + RelativePtBB: -3.3938e-05 + RelativePtEC1: 0.00062267 + RelativePtEC2: -1.6067e-06 + RelativeSample: -0.014175 + RelativeStatEC: 0.0090803 + RelativeStatFSR: 0.0012725 + SinglePionECAL: 0.0019735 + SinglePionHCAL: 0.00099359 + TimePtEta: 0.019949 + Lumi: 0.0072531 + model: -0.0011278 +- all uncorr. unc.: 0.00083025 + AbsoluteMPFBias: 0.0038444 + AbsoluteScale: 0.0023606 + fake: 1.0886e-06 + FlavorQCD: 0.0017914 + Fragmentation: -0.00073882 + JER: -0.0025643 + miss: 0.00016955 + PileUpDataMC: 0.00014589 + PileUpPtBB: 4.9703e-06 + PileUpPtEC1: -0.00029938 + PileUpPtEC2: -2.8766e-07 + PileUpPtRef: -0.00015919 + Pref: -0.00065935 + PU: 0.00048574 + RelativeBal: 0.00074059 + RelativeFSR: 0.0052404 + RelativeJEREC1: 0.0016636 + RelativeJEREC2: 3.5923e-06 + RelativePtBB: -1.6636e-05 + RelativePtEC1: 0.00024291 + RelativePtEC2: -4.0621e-07 + RelativeSample: -0.0052286 + RelativeStatEC: 0.0033921 + RelativeStatFSR: 0.00045936 + SinglePionECAL: 0.00081632 + SinglePionHCAL: 0.0004127 + TimePtEta: 0.0070474 + Lumi: 0.0024028 + model: -0.00042973 +- all uncorr. unc.: 0.00033466 + AbsoluteMPFBias: 0.0013725 + AbsoluteScale: 0.0008415 + fake: 6.1714e-07 + FlavorQCD: 0.00039766 + Fragmentation: -0.00028818 + JER: -0.00090411 + miss: 6.034e-05 + PileUpDataMC: 4.7091e-05 + PileUpPtBB: 1.3735e-06 + PileUpPtEC1: -4.6082e-05 + PileUpPtEC2: 5.5691e-08 + PileUpPtRef: -5.0103e-05 + Pref: -0.00019736 + PU: 0.00017204 + RelativeBal: 0.00032019 + RelativeFSR: 0.0021166 + RelativeJEREC1: 0.00051579 + RelativeJEREC2: 2.6674e-06 + RelativePtBB: -8.42e-06 + RelativePtEC1: 9.0248e-05 + RelativePtEC2: -1.0958e-07 + RelativeSample: -0.0019426 + RelativeStatEC: 0.0012379 + RelativeStatFSR: 0.00016448 + SinglePionECAL: 0.00031937 + SinglePionHCAL: 0.00016632 + TimePtEta: 0.0024411 + Lumi: 0.00077348 + model: 3.6112e-05 +- all uncorr. unc.: 0.00014156 + AbsoluteMPFBias: 0.00046428 + AbsoluteScale: 0.00028074 + fake: 1.3581e-07 + FlavorQCD: 5.5199e-05 + Fragmentation: -0.00010563 + JER: -0.00030544 + miss: 2.0507e-05 + PileUpDataMC: 1.3026e-05 + PileUpPtBB: 2.5206e-07 + PileUpPtEC1: 1.0406e-05 + PileUpPtEC2: 1.7597e-08 + PileUpPtRef: -1.2838e-05 + Pref: -5.3092e-05 + PU: 5.6699e-05 + RelativeBal: 0.0001227 + RelativeFSR: 0.00079547 + RelativeJEREC1: 0.00015234 + RelativeJEREC2: 6.3192e-07 + RelativePtBB: -3.9082e-06 + RelativePtEC1: 3.1963e-05 + RelativePtEC2: -3.1696e-08 + RelativeSample: -0.00069965 + RelativeStatEC: 0.0004261 + RelativeStatFSR: 5.4783e-05 + SinglePionECAL: 0.00011577 + SinglePionHCAL: 6.3793e-05 + TimePtEta: 0.00080123 + Lumi: 0.00023411 + model: 0.00010257 +- all uncorr. unc.: 6.2373e-05 + AbsoluteMPFBias: 0.00014437 + AbsoluteScale: 8.6264e-05 + fake: -3.6984e-08 + FlavorQCD: -6.9018e-06 + Fragmentation: -3.6481e-05 + JER: -9.6161e-05 + miss: 6.4733e-06 + PileUpDataMC: 3.0989e-06 + PileUpPtBB: -1.9138e-07 + PileUpPtEC1: 1.2594e-05 + PileUpPtEC2: -5.4411e-09 + PileUpPtRef: -2.8315e-06 + Pref: -1.3803e-05 + PU: 1.6829e-05 + RelativeBal: 4.1485e-05 + RelativeFSR: 0.00027122 + RelativeJEREC1: 4.1256e-05 + RelativeJEREC2: -1.5637e-07 + RelativePtBB: -1.6015e-06 + RelativePtEC1: 1.1665e-05 + RelativePtEC2: -7.8363e-09 + RelativeSample: -0.00023568 + RelativeStatEC: 0.00013432 + RelativeStatFSR: 1.6409e-05 + SinglePionECAL: 3.8999e-05 + SinglePionHCAL: 2.272e-05 + TimePtEta: 0.00024207 + Lumi: 6.4794e-05 + model: 6.3429e-05 +- all uncorr. unc.: 2.8549e-05 + AbsoluteMPFBias: 4.0413e-05 + AbsoluteScale: 2.458e-05 + fake: -4.876e-08 + FlavorQCD: -8.4786e-06 + Fragmentation: -1.1373e-05 + JER: -2.7632e-05 + miss: 1.8596e-06 + PileUpDataMC: 7.2956e-07 + PileUpPtBB: -1.36e-07 + PileUpPtEC1: 6.3734e-06 + PileUpPtEC2: -7.8828e-09 + PileUpPtRef: -4.3157e-07 + Pref: -3.3945e-06 + PU: 4.3988e-06 + RelativeBal: 1.2304e-05 + RelativeFSR: 8.2383e-05 + RelativeJEREC1: 1.0062e-05 + RelativeJEREC2: -2.1848e-07 + RelativePtBB: -5.7992e-07 + RelativePtEC1: 3.8681e-06 + RelativePtEC2: -1.387e-09 + RelativeSample: -7.2228e-05 + RelativeStatEC: 3.7993e-05 + RelativeStatFSR: 4.3184e-06 + SinglePionECAL: 1.1752e-05 + SinglePionHCAL: 7.2706e-06 + TimePtEta: 6.5984e-05 + Lumi: 1.6106e-05 + model: 3.7944e-05 +- all uncorr. unc.: 1.2501e-05 + AbsoluteMPFBias: 9.0955e-06 + AbsoluteScale: 5.5622e-06 + fake: -2.259e-08 + FlavorQCD: -3.2736e-06 + Fragmentation: -2.7957e-06 + JER: -6.3366e-06 + miss: 4.2538e-07 + PileUpDataMC: -1.3885e-07 + PileUpPtBB: -5.2713e-08 + PileUpPtEC1: 2.0636e-06 + PileUpPtEC2: -3.8426e-09 + PileUpPtRef: 9.3791e-08 + Pref: -5.9228e-07 + PU: 8.8508e-07 + RelativeBal: 2.8225e-06 + RelativeFSR: 1.9572e-05 + RelativeJEREC1: 1.9391e-06 + RelativeJEREC2: -1.0228e-07 + RelativePtBB: -1.6096e-07 + RelativePtEC1: 1.009e-06 + RelativePtEC2: -1.8568e-10 + RelativeSample: -1.7539e-05 + RelativeStatEC: 8.4515e-06 + RelativeStatFSR: 8.8896e-07 + SinglePionECAL: 2.7788e-06 + SinglePionHCAL: 1.8251e-06 + TimePtEta: 1.4219e-05 + Lumi: 3.1552e-06 + model: 1.3107e-05 +- all uncorr. unc.: 5.1362e-06 + AbsoluteMPFBias: 2.0089e-06 + AbsoluteScale: 1.2346e-06 + fake: -8.0529e-09 + FlavorQCD: -9.977e-07 + Fragmentation: -6.6886e-07 + JER: -1.4309e-06 + miss: 9.5684e-08 + PileUpDataMC: -7.3533e-08 + PileUpPtBB: -1.7058e-08 + PileUpPtEC1: 5.8837e-07 + PileUpPtEC2: -1.4165e-09 + PileUpPtRef: 4.6146e-08 + Pref: -1.6219e-07 + PU: 1.6899e-07 + RelativeBal: 6.2305e-07 + RelativeFSR: 4.5076e-06 + RelativeJEREC1: 3.6561e-07 + RelativeJEREC2: -3.6607e-08 + RelativePtBB: -4.2266e-08 + RelativePtEC1: 2.5458e-07 + RelativePtEC2: -6.6792e-11 + RelativeSample: -4.1593e-06 + RelativeStatEC: 1.83e-06 + RelativeStatFSR: 1.8262e-07 + SinglePionECAL: 6.3839e-07 + SinglePionHCAL: 4.4376e-07 + TimePtEta: 3.0068e-06 + Lumi: 6.0328e-07 + model: 4.2533e-06 diff --git a/buildmaster/CMS_WPWM_8TEV_MUON/data.yaml b/buildmaster/CMS_WPWM_8TEV_MUON/data.yaml new file mode 100644 index 0000000000..cd09bd6c66 --- /dev/null +++ b/buildmaster/CMS_WPWM_8TEV_MUON/data.yaml @@ -0,0 +1,23 @@ +data_central: +- 743700.0 +- 749500.0 +- 751900.0 +- 755000.0 +- 761900.0 +- 766000.0 +- 774400.0 +- 774600.0 +- 776400.0 +- 771100.0 +- 748300.0 +- 569000.0 +- 568900.0 +- 564100.0 +- 556100.0 +- 549600.0 +- 535700.0 +- 521400.0 +- 508300.0 +- 487700.0 +- 466600.0 +- 439800.0 diff --git a/buildmaster/CMS_WPWM_8TEV_MUON/filter.py b/buildmaster/CMS_WPWM_8TEV_MUON/filter.py new file mode 100644 index 0000000000..efb5210a15 --- /dev/null +++ b/buildmaster/CMS_WPWM_8TEV_MUON/filter.py @@ -0,0 +1,425 @@ +import numpy as np +import pandas as pd +import pathlib +import yaml + +from validphys.commondata_utils import covmat_to_artunc + + +MW_VALUE = 80.398 # GeV +SQRT_S = 8_000.0 # GeV +NORM_FACTOR = 1e3 # Convert pb -> fb + +# Correct tables to read values [[W+/W-]] +TABLES = {1: [0], 2: [0]} # {table_id: [indexes]} +NB_POINTS = [11, 11] # [N_W+/-] + +# MAP Boson string to M values +MAP_TABLE = {1: "W", 2: "W"} +MAP_BOSON = {"W": MW_VALUE} + +# Table ID corresponding to the correlation matrix +SYST_CORRMAT_ID = 4 +STAT_CORRMAT_ID = 5 + + +def load_yaml(table_id: int, version: int = 1) -> dict: + """Load the HEP data table in yaml format. + + Parameters + ---------- + table_id: int + table ID number + + Returns + ------- + dict: + ditionary containing the table contents + + """ + filename = f"HEPData-ins1426517-v{version}-Table_{table_id}" + table = pathlib.Path(f"./rawdata/{filename}.yaml") + + return yaml.safe_load(table.read_text()) + + +def read_metadata() -> tuple[int, int, list]: + """Read the version and list of tables from metadata. + + Returns + ------- + tuple(int, list): + data version and list of hepdata tables + + """ + metadata = pathlib.Path("./metadata.yaml") + content = yaml.safe_load(metadata.read_text()) + + version = content["hepdata"]["version"] + nb_datapoints = sum(content["implemented_observables"][0]["npoints"]) + tables = content["implemented_observables"][0]["tables"] + + return version, nb_datapoints, tables + + +def get_kinematics(hepdata: dict, bin_index: list, boson: str = "W") -> list: + """Read the version and list of tables from metadata. + + Parameters + ---------- + hepdata: dict + dictionary containing all data info + bin_index: list + list of Non-empty bin index + + Returns + ------- + tuple(int, list): + data version and list of hepdata tables + + """ + rapbins = hepdata["independent_variables"][0]["values"] + + kinematics = [] + for bins in bin_index: + ymin = float(rapbins[bins]["low"]) + ymax = float(rapbins[bins]["high"]) + kin_value = { + "y": {"min": ymin, "mid": 0.5 * (ymin + ymax), "max": ymax}, + "M2": {"min": None, "mid": MAP_BOSON[boson] ** 2, "max": None}, + "sqrt_s": {"min": None, "mid": SQRT_S, "max": None}, + } + kinematics.append(kin_value) + + return kinematics + + +def get_data_values(hepdata: dict, bin_index: list, indx: int = 0) -> list: + """Extract the central values from the HepData yaml file. + + Parameters + ---------- + hepdata: dict + dictionary containing all data info + bin_index: list + list of Non-empty bin index + idx: int + index from which to read the central value, default=0 + + Returns + ------- + list: + list of dictionaries whose contents are the central values + + """ + central = hepdata["dependent_variables"][indx]["values"] + + return [NORM_FACTOR * central[i]["value"] for i in bin_index] + + +def get_errors( + hepdata: dict, bin_index: list, central: list, indx: int = 0 +) -> dict: + """Extract the error values from the HepData yaml file. + + Parameters + ---------- + hepdata: dict + dictionary containing all data info + bin_index: list + list of Non-empty bin index + central: list + list containing the central values + indx: int + index from which the errors will be read + + Returns + ------- + list: + list of dictionaries whose contents are the various + source of uncertainties + + """ + errors = hepdata["dependent_variables"][indx]["values"] + + stat, sys_corr, sys_lumi = [], [], [] + for idx in bin_index: + stat.append(NORM_FACTOR * errors[idx]["errors"][0]["symerror"]) + sys_corr.append(NORM_FACTOR * errors[idx]["errors"][1]["symerror"]) + + # Fix luminosity uncertainty to be 2.6% + # sys_lumi.append(NORM_FACTOR * errors[idx]["errors"][2]["symerror"]) + sys_lumi.append(2.6 * 1e-2 * central[idx]) + + return {"stat": stat, "sys_corr": sys_corr, "sys_lumi": sys_lumi} + + +def read_corrmatrix(nb_datapoints: int, unc_hepdata: int) -> np.ndarray: + """Read the covariance matrix from a given HepData table. + + Parameters + ---------- + nb_datapoints: int + total number of datapoints + unc_hepdata: int + HepData table ID corresponding to the covmat + + Returns + ------- + list: (nb_datapoints,) + entries of the corr/cov-mat as a list + + """ + unc_loaded = load_yaml(table_id=unc_hepdata) + df = pd.DataFrame(unc_loaded['dependent_variables'][0]['values']) + + return df['value'].values.reshape(nb_datapoints, nb_datapoints) + + +def process_corrmat(corrmat: np.ndarray, uncs: list) -> np.ndarray: + """Process the correlation matrix by multiplying with the errors. + + Parameters + ---------- + corrmat: np.ndarray + a squared matrix representing the corrmat + sys: list + a vector containing the correlatdd systematics + + Returns + ------- + np.ndarray: + covariance matrix multiplied by the total systematics + + """ + corrmat_sys = np.zeros(corrmat.shape) + + for i in range(corrmat.shape[0]): + for j in range(corrmat.shape[-1]): + corrmat_sys[i][j] = (corrmat[i][j] / 100.0) * uncs[i] * uncs[j] + + return corrmat_sys.flatten() + + +def generate_artificial_unc(**kwargs) -> np.ndarray: + """A wrapper around `covmat_to_artunc` to return an array. + + Returns + ------- + np.ndarray: + a squared matrix with artificial uncertainties + """ + artunc = covmat_to_artunc(**kwargs) + return np.array(artunc) + + +def concatenate_dicts(multidict: list[dict]) -> dict: + """Given a list of dictionaries combined the values. + + Parameters + ---------- + multidict: list[dict] + list of dictionaries with the same keys + + Returns + ------- + dict: + dictionary whose keys are combined + """ + new_dict = {} + for key in multidict[0].keys(): + new_dict[key] = [] + for element in multidict: + new_dict[key] += element[key] + + return new_dict + + +def format_uncertainties( + uncs: dict, artunc_syst: np.ndarray, artunc_stat: np.ndarray +) -> list: + """Format the uncertainties to be dumped into the yaml file. + + Parameters + ---------- + uncs: dict + dictionary containing the various source of uncertainties + artunc: np.ndarray + array of the artificial systematic uncertainties + artunc_stat: np.ndarray + array of the artificial statistical uncertainties + + Returns + ------- + list: + list of ditionaries whose elements are the various errors + + """ + combined_errors = [] + + assert artunc_syst.shape == artunc_stat.shape + artunc = artunc_syst.tolist() + for idat in range(len(artunc)): + error_value = {} + + # Construct the correlated systematics + for jdat, value in enumerate(artunc_syst[idat]): + error_value[f"sys_corr_{jdat + 1}"] = float(value) + + # Construct the correlated statistics + for jdat, value in enumerate(artunc_stat[idat]): + error_value[f"corr_stat_{jdat + 1}"] = float(value) + + error_value["stat"] = uncs["stat"][idat] + error_value["sys_luminosity"] = uncs["sys_lumi"][idat] + combined_errors.append(error_value) + + return combined_errors + + +def dump_commondata( + kinematics: list, + data: list, + errors: list, + nb_syscorr: int, + nb_statcorr: int, +) -> None: + """Function that generates and writes the commondata files. + + Parameters + ---------- + kinematics: list + list containing the kinematic values + data: list + list containing the central values + errors: list + list containing the different errors + nb_syscorr: int + number of source of Systematics + nb_statcorr: int + number of source of correlated statistical errors + + """ + error_definition = { + f"sys_corr_{i + 1}": { + "description": "Correlated systematic uncertainties", + "treatment": "MULT", + "type": "CORR", + } + for i in range(nb_syscorr) + } + + for i in range(nb_statcorr): + error_definition[f"corr_stat_{i + 1}"] = { + "description": "Correlated statistical uncertainties", + "treatment": "ADD", + "type": "CORR", + } + + error_definition["stat"] = { + "description": "Uncorrelated statistical uncertainties", + "treatment": "ADD", + "type": "UNCORR", + } + + error_definition["sys_luminosity"] = { + "description": "CMS normalization luminosity uncertainty", + "treatment": "MULT", + "type": "CMSLUMI12", + } + + with open("data.yaml", "w") as file: + yaml.dump({"data_central": data}, file, sort_keys=False) + + with open("kinematics.yaml", "w") as file: + yaml.dump({"bins": kinematics}, file, sort_keys=False) + + with open("uncertainties.yaml", "w") as file: + yaml.dump( + {"definitions": error_definition, "bins": errors}, + file, + sort_keys=False, + ) + + +def main_filter() -> None: + """Main driver of the filter that produces commmondata. + + There are two main different sources of uncertainties. + + 1. Statistical uncertainties: ADD, UNCORR + + 2. Correlated Systematic uncertainties: MULT, CORR: + constructed from the covariance matrix provided with the + measurements + + 3. Correlated Statistical uncertainties: ADD, CORR: + constructed from the covariance matrix provided with the + measurements + + 4. CMS luminosity uncertainty: MULT, CMSLUMI12 + + """ + version, _, _ = read_metadata() + nbpoints = sum(NB_POINTS) + + nbp_idx = 0 + comb_kins, comb_data = [], [] + combined_errors = [] + for tabid in TABLES.keys(): # Loop over tables + for idx in TABLES[tabid]: # Loop over Bosons [W+/-] + bin_index = [i for i in range(NB_POINTS[nbp_idx])] + yaml_content = load_yaml(table_id=tabid, version=version) + + # Extract the kinematic, data, and uncertainties + kinematics = get_kinematics( + yaml_content, bin_index, MAP_TABLE[tabid] + ) + data_central = get_data_values(yaml_content, bin_index, indx=idx) + uncertainties = get_errors( + yaml_content, bin_index, data_central, indx=idx + ) + + # Collect all the results from different tables + comb_kins += kinematics + comb_data += data_central + combined_errors.append(uncertainties) + + nbp_idx += 1 + + errors_combined = concatenate_dicts(combined_errors) + + # Load the correlation matrices + syst_corrmat = read_corrmatrix(nbpoints, unc_hepdata=SYST_CORRMAT_ID) + # TODO: fix the following + # stat_corrmat = read_corrmatrix(nbpoints, unc_hepdata=STAT_CORRMAT_ID) + stat_corrmat = read_corrmatrix(nbpoints, unc_hepdata=SYST_CORRMAT_ID) + + process_systcorr = process_corrmat(syst_corrmat, errors_combined["stat"]) + process_statcorr = process_corrmat( + stat_corrmat, errors_combined["sys_corr"] + ) + + # Compute the Artifical Statistical and Systematics from CovMats + artunc_syst = generate_artificial_unc( + ndata=nbpoints, covmat_list=process_systcorr.tolist(), no_of_norm_mat=0 + ) + artunc_stat = generate_artificial_unc( + ndata=nbpoints, covmat_list=process_statcorr.tolist(), no_of_norm_mat=0 + ) + errors = format_uncertainties(errors_combined, artunc_syst, artunc_stat) + + # Generate all the necessary files + dump_commondata( + comb_kins, + comb_data, + errors, + artunc_syst.shape[-1], + artunc_stat.shape[-1], + ) + + return + + +if __name__ == "__main__": + main_filter() diff --git a/buildmaster/CMS_WPWM_8TEV_MUON/kinematics.yaml b/buildmaster/CMS_WPWM_8TEV_MUON/kinematics.yaml new file mode 100644 index 0000000000..2e0e304b86 --- /dev/null +++ b/buildmaster/CMS_WPWM_8TEV_MUON/kinematics.yaml @@ -0,0 +1,265 @@ +bins: +- y: + min: 0.0 + mid: 0.1 + max: 0.2 + M2: + min: null + mid: 6463.838403999999 + max: null + sqrt_s: + min: null + mid: 8000.0 + max: null +- y: + min: 0.2 + mid: 0.30000000000000004 + max: 0.4 + M2: + min: null + mid: 6463.838403999999 + max: null + sqrt_s: + min: null + mid: 8000.0 + max: null +- y: + min: 0.4 + mid: 0.5 + max: 0.6 + M2: + min: null + mid: 6463.838403999999 + max: null + sqrt_s: + min: null + mid: 8000.0 + max: null +- y: + min: 0.6 + mid: 0.7 + max: 0.8 + M2: + min: null + mid: 6463.838403999999 + max: null + sqrt_s: + min: null + mid: 8000.0 + max: null +- y: + min: 0.8 + mid: 0.9 + max: 1.0 + M2: + min: null + mid: 6463.838403999999 + max: null + sqrt_s: + min: null + mid: 8000.0 + max: null +- y: + min: 1.0 + mid: 1.1 + max: 1.2 + M2: + min: null + mid: 6463.838403999999 + max: null + sqrt_s: + min: null + mid: 8000.0 + max: null +- y: + min: 1.2 + mid: 1.2999999999999998 + max: 1.4 + M2: + min: null + mid: 6463.838403999999 + max: null + sqrt_s: + min: null + mid: 8000.0 + max: null +- y: + min: 1.4 + mid: 1.5 + max: 1.6 + M2: + min: null + mid: 6463.838403999999 + max: null + sqrt_s: + min: null + mid: 8000.0 + max: null +- y: + min: 1.6 + mid: 1.725 + max: 1.85 + M2: + min: null + mid: 6463.838403999999 + max: null + sqrt_s: + min: null + mid: 8000.0 + max: null +- y: + min: 1.85 + mid: 1.975 + max: 2.1 + M2: + min: null + mid: 6463.838403999999 + max: null + sqrt_s: + min: null + mid: 8000.0 + max: null +- y: + min: 2.1 + mid: 2.25 + max: 2.4 + M2: + min: null + mid: 6463.838403999999 + max: null + sqrt_s: + min: null + mid: 8000.0 + max: null +- y: + min: 0.0 + mid: 0.1 + max: 0.2 + M2: + min: null + mid: 6463.838403999999 + max: null + sqrt_s: + min: null + mid: 8000.0 + max: null +- y: + min: 0.2 + mid: 0.30000000000000004 + max: 0.4 + M2: + min: null + mid: 6463.838403999999 + max: null + sqrt_s: + min: null + mid: 8000.0 + max: null +- y: + min: 0.4 + mid: 0.5 + max: 0.6 + M2: + min: null + mid: 6463.838403999999 + max: null + sqrt_s: + min: null + mid: 8000.0 + max: null +- y: + min: 0.6 + mid: 0.7 + max: 0.8 + M2: + min: null + mid: 6463.838403999999 + max: null + sqrt_s: + min: null + mid: 8000.0 + max: null +- y: + min: 0.8 + mid: 0.9 + max: 1.0 + M2: + min: null + mid: 6463.838403999999 + max: null + sqrt_s: + min: null + mid: 8000.0 + max: null +- y: + min: 1.0 + mid: 1.1 + max: 1.2 + M2: + min: null + mid: 6463.838403999999 + max: null + sqrt_s: + min: null + mid: 8000.0 + max: null +- y: + min: 1.2 + mid: 1.2999999999999998 + max: 1.4 + M2: + min: null + mid: 6463.838403999999 + max: null + sqrt_s: + min: null + mid: 8000.0 + max: null +- y: + min: 1.4 + mid: 1.5 + max: 1.6 + M2: + min: null + mid: 6463.838403999999 + max: null + sqrt_s: + min: null + mid: 8000.0 + max: null +- y: + min: 1.6 + mid: 1.725 + max: 1.85 + M2: + min: null + mid: 6463.838403999999 + max: null + sqrt_s: + min: null + mid: 8000.0 + max: null +- y: + min: 1.85 + mid: 1.975 + max: 2.1 + M2: + min: null + mid: 6463.838403999999 + max: null + sqrt_s: + min: null + mid: 8000.0 + max: null +- y: + min: 2.1 + mid: 2.25 + max: 2.4 + M2: + min: null + mid: 6463.838403999999 + max: null + sqrt_s: + min: null + mid: 8000.0 + max: null diff --git a/buildmaster/CMS_WPWM_8TEV_MUON/metadata.yaml b/buildmaster/CMS_WPWM_8TEV_MUON/metadata.yaml new file mode 100644 index 0000000000..aaa8bc1ded --- /dev/null +++ b/buildmaster/CMS_WPWM_8TEV_MUON/metadata.yaml @@ -0,0 +1,50 @@ +setname: "" + +version: 1 +version_comment: "First implementation" + +# References +arXiv: + url: "https://arxiv.org/abs/1603.01803" +iNSPIRE: + url: "https://inspirehep.net/literature/1426517" +hepdata: + url: "https://www.hepdata.net/record/ins1426517" + version: 1 + +nnpdf_metadata: + nnpdf31_process: "DY CC" + experiment: "CMS" + +implemented_observables: + +- observable_name: "Y" + observable: + description: "Measurement of the differential cross section and charge asymmetry for inclusive pp→W±+X production at 8TeV" + label: r"$d\sigma(W\to l\nu)/dy_l$" + units: "[fb]" + process_type: "EWK_RAP" + tables: [1, 2] + npoints: [22] + ndata: 22 + plotting: + kinematics_override: ewk_rap_sqrt_scale + dataset_label: "CMS $W$ rapidity 8 TeV" + plot_x: y + y_label: '$d\sigma(W\to l\nu)/dy_l$' + kinematic_coverage: [y, M2, sqrt_s] + kinematics: + variables: + y: {description: "Lepton rapidity", label: '$\eta$', units: ""} + M2: {description: "W boson Mass", label: "$M^2$", units: "$GeV^2$"} + sqrt_s: {description: "Center of Mass Energy", label: '$\sqrt{s}$', units: "$GeV$"} + file: kinematics.yaml + data_central: data.yaml + data_uncertainties: + - uncertainties.yaml + theory: + FK_tables: + - - CMSWMU8TEV-CMSWMU8TEV_WP_leptrap + - CMSWMU8TEV-CMSWMU8TEV_WM_leptrap + operation: 'null' + conversion_factor: 1.0 diff --git a/buildmaster/CMS_WPWM_8TEV_MUON/rawdata/HEPData-ins1426517-v1-Table_1.yaml b/buildmaster/CMS_WPWM_8TEV_MUON/rawdata/HEPData-ins1426517-v1-Table_1.yaml new file mode 100644 index 0000000000..6bf8b8dbbe --- /dev/null +++ b/buildmaster/CMS_WPWM_8TEV_MUON/rawdata/HEPData-ins1426517-v1-Table_1.yaml @@ -0,0 +1,271 @@ +dependent_variables: +- header: {name: '$d\sigma^{+}/d\eta$', units: PB} + qualifiers: + - {name: PT(MU), units: GEV, value: '> 25'} + - {name: RE, value: P P --> W+- < MU+- NUMU > X} + - {name: SQRT(S), units: GeV, value: '8000.0'} + values: + - errors: + - {label: stat, symerror: 0.7} + - {label: sys, symerror: 6.5} + - {label: 'sys,lumi', symerror: 19.3} + value: 743.7 + - errors: + - {label: stat, symerror: 0.7} + - {label: sys, symerror: 7.7} + - {label: 'sys,lumi', symerror: 19.5} + value: 749.5 + - errors: + - {label: stat, symerror: 0.7} + - {label: sys, symerror: 7.2} + - {label: 'sys,lumi', symerror: 19.5} + value: 751.9 + - errors: + - {label: stat, symerror: 0.7} + - {label: sys, symerror: 7.1} + - {label: 'sys,lumi', symerror: 19.6} + value: 755.0 + - errors: + - {label: stat, symerror: 0.7} + - {label: sys, symerror: 7.4} + - {label: 'sys,lumi', symerror: 19.8} + value: 761.9 + - errors: + - {label: stat, symerror: 0.7} + - {label: sys, symerror: 5.8} + - {label: 'sys,lumi', symerror: 19.9} + value: 766.0 + - errors: + - {label: stat, symerror: 0.7} + - {label: sys, symerror: 5.8} + - {label: 'sys,lumi', symerror: 20.1} + value: 774.4 + - errors: + - {label: stat, symerror: 0.7} + - {label: sys, symerror: 6.1} + - {label: 'sys,lumi', symerror: 20.1} + value: 774.6 + - errors: + - {label: stat, symerror: 0.7} + - {label: sys, symerror: 6.8} + - {label: 'sys,lumi', symerror: 20.2} + value: 776.4 + - errors: + - {label: stat, symerror: 0.6} + - {label: sys, symerror: 7.9} + - {label: 'sys,lumi', symerror: 20.0} + value: 771.1 + - errors: + - {label: stat, symerror: 0.7} + - {label: sys, symerror: 18.0} + - {label: 'sys,lumi', symerror: 19.5} + value: 748.3 +- header: {name: CT10} + qualifiers: + - {name: PT(MU), units: GEV, value: '> 25'} + - {name: RE, value: P P --> W+- < MU+- NUMU > X} + - {name: SQRT(S), units: GeV, value: '8000.0'} + values: + - errors: + - asymerror: {minus: -25.1, plus: 19.3} + value: 759.7 + - errors: + - asymerror: {minus: -24.9, plus: 19.2} + value: 761.2 + - errors: + - asymerror: {minus: -24.6, plus: 19.1} + value: 763.6 + - errors: + - asymerror: {minus: -23.8, plus: 18.6} + value: 769.1 + - errors: + - asymerror: {minus: -22.8, plus: 18.2} + value: 773.4 + - errors: + - asymerror: {minus: -22.1, plus: 17.7} + value: 777.8 + - errors: + - asymerror: {minus: -21.5, plus: 17.7} + value: 785.0 + - errors: + - asymerror: {minus: -20.8, plus: 17.5} + value: 793.7 + - errors: + - asymerror: {minus: -19.5, plus: 16.9} + value: 784.4 + - errors: + - asymerror: {minus: -18.8, plus: 16.9} + value: 785.5 + - errors: + - asymerror: {minus: -17.7, plus: 16.4} + value: 750.0 +- header: {name: NNPDF3.0} + qualifiers: + - {name: PT(MU), units: GEV, value: '> 25'} + - {name: RE, value: P P --> W+- < MU+- NUMU > X} + - {name: SQRT(S), units: GeV, value: '8000.0'} + values: + - errors: + - {symerror: 16.8} + value: 740.5 + - errors: + - {symerror: 16.6} + value: 740.8 + - errors: + - {symerror: 16.5} + value: 743.5 + - errors: + - {symerror: 16.0} + value: 746.9 + - errors: + - {symerror: 16.0} + value: 750.7 + - errors: + - {symerror: 15.8} + value: 756.5 + - errors: + - {symerror: 15.6} + value: 760.9 + - errors: + - {symerror: 15.7} + value: 768.5 + - errors: + - {symerror: 15.4} + value: 761.3 + - errors: + - {symerror: 15.7} + value: 762.2 + - errors: + - {symerror: 15.4} + value: 730.1 +- header: {name: MMHT2014} + qualifiers: + - {name: PT(MU), units: GEV, value: '> 25'} + - {name: RE, value: P P --> W+- < MU+- NUMU > X} + - {name: SQRT(S), units: GeV, value: '8000.0'} + values: + - errors: + - asymerror: {minus: -10.8, plus: 13.2} + value: 750.8 + - errors: + - asymerror: {minus: -10.6, plus: 13.1} + value: 751.8 + - errors: + - asymerror: {minus: -10.3, plus: 13.0} + value: 754.0 + - errors: + - asymerror: {minus: -10.1, plus: 13.1} + value: 759.0 + - errors: + - asymerror: {minus: -9.8, plus: 13.0} + value: 763.6 + - errors: + - asymerror: {minus: -9.8, plus: 12.8} + value: 769.2 + - errors: + - asymerror: {minus: -10.5, plus: 13.1} + value: 775.5 + - errors: + - asymerror: {minus: -11.3, plus: 13.3} + value: 784.0 + - errors: + - asymerror: {minus: -12.4, plus: 13.5} + value: 778.5 + - errors: + - {symerror: 14.0} + value: 780.3 + - errors: + - asymerror: {minus: -14.6, plus: 13.9} + value: 746.9 +- header: {name: ABM12} + qualifiers: + - {name: PT(MU), units: GEV, value: '> 25'} + - {name: RE, value: P P --> W+- < MU+- NUMU > X} + - {name: SQRT(S), units: GeV, value: '8000.0'} + values: + - errors: + - {symerror: 9.3} + value: 764.2 + - errors: + - {symerror: 9.6} + value: 766.0 + - errors: + - {symerror: 9.7} + value: 769.4 + - errors: + - {symerror: 9.4} + value: 773.8 + - errors: + - {symerror: 9.9} + value: 780.0 + - errors: + - {symerror: 9.7} + value: 784.9 + - errors: + - {symerror: 9.9} + value: 791.5 + - errors: + - {symerror: 10.2} + value: 799.7 + - errors: + - {symerror: 10.3} + value: 792.4 + - errors: + - {symerror: 10.2} + value: 791.6 + - errors: + - {symerror: 9.6} + value: 755.6 +- header: {name: HERAPDF1.5} + qualifiers: + - {name: PT(MU), units: GEV, value: '> 25'} + - {name: RE, value: P P --> W+- < MU+- NUMU > X} + - {name: SQRT(S), units: GeV, value: '8000.0'} + values: + - errors: + - asymerror: {minus: -7.8, plus: 6.8} + value: 762.8 + - errors: + - asymerror: {minus: -7.8, plus: 7.2} + value: 764.7 + - errors: + - asymerror: {minus: -6.6, plus: 6.5} + value: 767.9 + - errors: + - asymerror: {minus: -7.2, plus: 7.8} + value: 772.0 + - errors: + - asymerror: {minus: -6.4, plus: 7.6} + value: 777.5 + - errors: + - asymerror: {minus: -6.8, plus: 8.2} + value: 782.5 + - errors: + - asymerror: {minus: -6.8, plus: 8.7} + value: 787.3 + - errors: + - asymerror: {minus: -9.5, plus: 11.4} + value: 796.7 + - errors: + - asymerror: {minus: -11.5, plus: 15.0} + value: 788.9 + - errors: + - asymerror: {minus: -11.4, plus: 17.6} + value: 788.9 + - errors: + - asymerror: {minus: -12.3, plus: 20.9} + value: 754.8 +independent_variables: +- header: {name: $|\eta|$} + values: + - {high: 0.2, low: 0.0} + - {high: 0.4, low: 0.2} + - {high: 0.6, low: 0.4} + - {high: 0.8, low: 0.6} + - {high: 1.0, low: 0.8} + - {high: 1.2, low: 1.0} + - {high: 1.4, low: 1.2} + - {high: 1.6, low: 1.4} + - {high: 1.85, low: 1.6} + - {high: 2.1, low: 1.85} + - {high: 2.4, low: 2.1} diff --git a/buildmaster/CMS_WPWM_8TEV_MUON/rawdata/HEPData-ins1426517-v1-Table_2.yaml b/buildmaster/CMS_WPWM_8TEV_MUON/rawdata/HEPData-ins1426517-v1-Table_2.yaml new file mode 100644 index 0000000000..eeba712bc7 --- /dev/null +++ b/buildmaster/CMS_WPWM_8TEV_MUON/rawdata/HEPData-ins1426517-v1-Table_2.yaml @@ -0,0 +1,271 @@ +dependent_variables: +- header: {name: '$d\sigma^{-}/d\eta$', units: PB} + qualifiers: + - {name: PT(MU), units: GEV, value: '> 25'} + - {name: RE, value: P P --> W+- < MU+- NUMU > X} + - {name: SQRT(S), units: GeV, value: '8000.0'} + values: + - errors: + - {label: stat, symerror: 0.6} + - {label: sys, symerror: 5.3} + - {label: 'sys,lumi', symerror: 14.8} + value: 569.0 + - errors: + - {label: stat, symerror: 0.6} + - {label: sys, symerror: 6.4} + - {label: 'sys,lumi', symerror: 14.8} + value: 568.9 + - errors: + - {label: stat, symerror: 0.6} + - {label: sys, symerror: 5.7} + - {label: 'sys,lumi', symerror: 14.7} + value: 564.1 + - errors: + - {label: stat, symerror: 0.6} + - {label: sys, symerror: 5.5} + - {label: 'sys,lumi', symerror: 14.5} + value: 556.1 + - errors: + - {label: stat, symerror: 0.6} + - {label: sys, symerror: 5.5} + - {label: 'sys,lumi', symerror: 14.3} + value: 549.6 + - errors: + - {label: stat, symerror: 0.6} + - {label: sys, symerror: 4.6} + - {label: 'sys,lumi', symerror: 13.9} + value: 535.7 + - errors: + - {label: stat, symerror: 0.6} + - {label: sys, symerror: 4.6} + - {label: 'sys,lumi', symerror: 13.6} + value: 521.4 + - errors: + - {label: stat, symerror: 0.6} + - {label: sys, symerror: 4.9} + - {label: 'sys,lumi', symerror: 13.2} + value: 508.3 + - errors: + - {label: stat, symerror: 0.6} + - {label: sys, symerror: 5.2} + - {label: 'sys,lumi', symerror: 12.7} + value: 487.7 + - errors: + - {label: stat, symerror: 0.6} + - {label: sys, symerror: 5.3} + - {label: 'sys,lumi', symerror: 12.1} + value: 466.6 + - errors: + - {label: stat, symerror: 0.6} + - {label: sys, symerror: 10.6} + - {label: 'sys,lumi', symerror: 11.4} + value: 439.8 +- header: {name: CT10} + qualifiers: + - {name: PT(MU), units: GEV, value: '> 25'} + - {name: RE, value: P P --> W+- < MU+- NUMU > X} + - {name: SQRT(S), units: GeV, value: '8000.0'} + values: + - errors: + - asymerror: {minus: -20.2, plus: 14.5} + value: 574.5 + - errors: + - asymerror: {minus: -20.1, plus: 14.6} + value: 571.0 + - errors: + - asymerror: {minus: -19.3, plus: 14.2} + value: 566.4 + - errors: + - asymerror: {minus: -18.3, plus: 13.7} + value: 558.6 + - errors: + - asymerror: {minus: -17.3, plus: 13.4} + value: 548.6 + - errors: + - asymerror: {minus: -16.0, plus: 12.8} + value: 535.6 + - errors: + - asymerror: {minus: -14.9, plus: 12.4} + value: 521.8 + - errors: + - asymerror: {minus: -13.9, plus: 11.8} + value: 509.3 + - errors: + - asymerror: {minus: -12.6, plus: 11.2} + value: 485.1 + - errors: + - asymerror: {minus: -11.7, plus: 11.0} + value: 467.0 + - errors: + - asymerror: {minus: -11.1, plus: 10.6} + value: 436.0 +- header: {name: NNPDF3.0} + qualifiers: + - {name: PT(MU), units: GEV, value: '> 25'} + - {name: RE, value: P P --> W+- < MU+- NUMU > X} + - {name: SQRT(S), units: GeV, value: '8000.0'} + values: + - errors: + - {symerror: 13.3} + value: 562.2 + - errors: + - {symerror: 13.3} + value: 559.6 + - errors: + - {symerror: 12.8} + value: 555.6 + - errors: + - {symerror: 12.4} + value: 547.5 + - errors: + - {symerror: 11.7} + value: 538.8 + - errors: + - {symerror: 11.6} + value: 526.6 + - errors: + - {symerror: 10.9} + value: 512.4 + - errors: + - {symerror: 10.5} + value: 500.6 + - errors: + - {symerror: 9.9} + value: 478.1 + - errors: + - {symerror: 9.4} + value: 459.9 + - errors: + - {symerror: 9.0} + value: 431.0 +- header: {name: MMHT2014} + qualifiers: + - {name: PT(MU), units: GEV, value: '> 25'} + - {name: RE, value: P P --> W+- < MU+- NUMU > X} + - {name: SQRT(S), units: GeV, value: '8000.0'} + values: + - errors: + - asymerror: {minus: -10.1, plus: 9.4} + value: 576.2 + - errors: + - asymerror: {minus: -10.3, plus: 9.6} + value: 573.2 + - errors: + - asymerror: {minus: -9.3, plus: 8.8} + value: 569.7 + - errors: + - asymerror: {minus: -8.9, plus: 8.6} + value: 561.8 + - errors: + - {symerror: 8.3} + value: 553.6 + - errors: + - asymerror: {minus: -8.1, plus: 8.0} + value: 542.2 + - errors: + - asymerror: {minus: -8.2, plus: 8.0} + value: 527.5 + - errors: + - asymerror: {minus: -8.4, plus: 8.2} + value: 516.3 + - errors: + - asymerror: {minus: -8.8, plus: 8.6} + value: 492.5 + - errors: + - asymerror: {minus: -9.4, plus: 9.1} + value: 473.8 + - errors: + - asymerror: {minus: -9.4, plus: 9.1} + value: 442.3 +- header: {name: ABM12} + qualifiers: + - {name: PT(MU), units: GEV, value: '> 25'} + - {name: RE, value: P P --> W+- < MU+- NUMU > X} + - {name: SQRT(S), units: GeV, value: '8000.0'} + values: + - errors: + - {symerror: 7.2} + value: 580.2 + - errors: + - {symerror: 7.4} + value: 577.4 + - errors: + - {symerror: 6.9} + value: 572.6 + - errors: + - {symerror: 7.2} + value: 565.9 + - errors: + - {symerror: 7.0} + value: 557.9 + - errors: + - {symerror: 6.8} + value: 544.2 + - errors: + - {symerror: 6.6} + value: 530.9 + - errors: + - {symerror: 6.5} + value: 519.3 + - errors: + - {symerror: 6.0} + value: 494.6 + - errors: + - {symerror: 5.6} + value: 475.1 + - errors: + - {symerror: 5.3} + value: 442.0 +- header: {name: HERAPDF1.5} + qualifiers: + - {name: PT(MU), units: GEV, value: '> 25'} + - {name: RE, value: P P --> W+- < MU+- NUMU > X} + - {name: SQRT(S), units: GeV, value: '8000.0'} + values: + - errors: + - asymerror: {minus: -7.6, plus: 4.1} + value: 578.8 + - errors: + - asymerror: {minus: -8.1, plus: 5.0} + value: 576.1 + - errors: + - asymerror: {minus: -7.2, plus: 4.1} + value: 572.5 + - errors: + - asymerror: {minus: -8.0, plus: 5.8} + value: 565.7 + - errors: + - asymerror: {minus: -7.0, plus: 4.9} + value: 557.4 + - errors: + - asymerror: {minus: -7.0, plus: 5.3} + value: 547.2 + - errors: + - asymerror: {minus: -7.0, plus: 5.3} + value: 534.5 + - errors: + - asymerror: {minus: -6.7, plus: 5.4} + value: 524.2 + - errors: + - asymerror: {minus: -6.6, plus: 6.3} + value: 501.6 + - errors: + - asymerror: {minus: -7.3, plus: 8.7} + value: 483.4 + - errors: + - asymerror: {minus: -6.6, plus: 10.1} + value: 452.4 +independent_variables: +- header: {name: $|\eta|$} + values: + - {high: 0.2, low: 0.0} + - {high: 0.4, low: 0.2} + - {high: 0.6, low: 0.4} + - {high: 0.8, low: 0.6} + - {high: 1.0, low: 0.8} + - {high: 1.2, low: 1.0} + - {high: 1.4, low: 1.2} + - {high: 1.6, low: 1.4} + - {high: 1.85, low: 1.6} + - {high: 2.1, low: 1.85} + - {high: 2.4, low: 2.1} diff --git a/buildmaster/CMS_WPWM_8TEV_MUON/rawdata/HEPData-ins1426517-v1-Table_4.yaml b/buildmaster/CMS_WPWM_8TEV_MUON/rawdata/HEPData-ins1426517-v1-Table_4.yaml new file mode 100644 index 0000000000..5ba3c01a54 --- /dev/null +++ b/buildmaster/CMS_WPWM_8TEV_MUON/rawdata/HEPData-ins1426517-v1-Table_4.yaml @@ -0,0 +1,1464 @@ +dependent_variables: +- header: {name: ''} + qualifiers: + - {name: PT(MU), units: GEV, value: '> 25'} + - {name: RE, value: P P --> W+- < MU+- NUMU > X} + - {name: SQRT(S), units: GeV, value: '8000.0'} + values: + - {value: 100.0} + - {value: 90.3} + - {value: 91.3} + - {value: 91.2} + - {value: 90.2} + - {value: 81.8} + - {value: 69.4} + - {value: 63.3} + - {value: 32.9} + - {value: 6.1} + - {value: -37.2} + - {value: 92.7} + - {value: 89.5} + - {value: 90.1} + - {value: 89.9} + - {value: 89.0} + - {value: 78.7} + - {value: 61.1} + - {value: 61.7} + - {value: 34.6} + - {value: 16.0} + - {value: -32.9} + - {value: 90.3} + - {value: 100.0} + - {value: 92.5} + - {value: 92.4} + - {value: 92.2} + - {value: 74.9} + - {value: 58.6} + - {value: 51.1} + - {value: 16.2} + - {value: -11.8} + - {value: -54.7} + - {value: 88.9} + - {value: 94.4} + - {value: 90.7} + - {value: 90.1} + - {value: 88.8} + - {value: 71.2} + - {value: 49.0} + - {value: 50.1} + - {value: 18.8} + - {value: -1.2} + - {value: -50.5} + - {value: 91.3} + - {value: 92.5} + - {value: 100.0} + - {value: 92.5} + - {value: 92.1} + - {value: 79.2} + - {value: 64.8} + - {value: 57.9} + - {value: 25.0} + - {value: -2.8} + - {value: -46.6} + - {value: 90.0} + - {value: 91.7} + - {value: 93.6} + - {value: 90.9} + - {value: 89.9} + - {value: 76.0} + - {value: 55.9} + - {value: 56.9} + - 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/dev/null +++ b/buildmaster/CMS_WPWM_8TEV_MUON/rawdata/HEPData-ins1426517-v1-Table_5.yaml @@ -0,0 +1,1464 @@ +dependent_variables: +- header: {name: ''} + qualifiers: + - {name: PT(MU), units: GEV, value: '> 25'} + - {name: RE, value: P P --> W+- < MU+- NUMU > X} + - {name: SQRT(S), units: GeV, value: '8000.0'} + values: + - {value: 100.0} + - {value: 0.0} + - {value: 0.0} + - {value: 0.0} + - {value: 0.0} + - {value: 0.0} + - {value: 0.0} + - {value: 0.0} + - {value: 0.0} + - {value: 0.0} + - {value: 0.0} + - {value: 18.9} + - {value: 0.0} + - {value: 0.0} + - {value: 0.0} + - {value: 0.0} + - {value: 0.0} + - {value: 0.0} + - {value: 0.0} + - {value: 0.0} + - {value: 0.0} + - {value: 0.0} + - {value: 0.0} + - {value: 100.0} + - {value: 0.0} + - {value: 0.0} + - {value: 0.0} + - {value: 0.0} + - {value: 0.0} + - {value: 0.0} + - {value: 0.0} + - {value: 0.0} + - {value: 0.0} + - {value: 0.0} + - {value: 18.8} + - {value: 0.0} + - {value: 0.0} + - {value: 0.0} + - {value: 0.0} + - 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b/buildmaster/CMS_WPWM_8TEV_MUON/uncertainties.yaml @@ -0,0 +1,1198 @@ +definitions: + sys_corr_1: + description: Correlated systematic uncertainties + treatment: MULT + type: CORR + sys_corr_2: + description: Correlated systematic uncertainties + treatment: MULT + type: CORR + sys_corr_3: + description: Correlated systematic uncertainties + treatment: MULT + type: CORR + sys_corr_4: + description: Correlated systematic uncertainties + treatment: MULT + type: CORR + sys_corr_5: + description: Correlated systematic uncertainties + treatment: MULT + type: CORR + sys_corr_6: + description: Correlated systematic uncertainties + treatment: MULT + type: CORR + sys_corr_7: + description: Correlated systematic uncertainties + treatment: MULT + type: CORR + sys_corr_8: + description: Correlated systematic uncertainties + treatment: MULT + type: CORR + sys_corr_9: + description: Correlated systematic uncertainties + treatment: MULT + type: CORR + sys_corr_10: + description: Correlated systematic uncertainties + treatment: MULT + type: CORR + sys_corr_11: + description: Correlated systematic uncertainties + treatment: MULT + type: CORR + sys_corr_12: + description: Correlated systematic uncertainties + treatment: MULT + type: CORR + sys_corr_13: + description: Correlated systematic uncertainties + treatment: MULT + type: CORR + sys_corr_14: + description: Correlated systematic uncertainties + treatment: MULT + type: CORR + sys_corr_15: + description: Correlated systematic uncertainties + treatment: MULT + type: CORR + sys_corr_16: + description: Correlated systematic uncertainties + treatment: MULT + type: CORR + sys_corr_17: + description: Correlated systematic uncertainties + treatment: MULT + type: CORR + sys_corr_18: + description: Correlated systematic uncertainties + treatment: MULT + type: CORR + sys_corr_19: + description: Correlated systematic uncertainties + treatment: MULT + type: CORR + sys_corr_20: + description: Correlated systematic uncertainties + treatment: MULT + type: CORR + sys_corr_21: + description: Correlated systematic uncertainties + treatment: MULT + type: CORR + sys_corr_22: + description: Correlated systematic uncertainties + treatment: MULT + type: CORR + corr_stat_1: + description: Correlated statistical uncertainties + treatment: ADD + type: CORR + corr_stat_2: + description: Correlated statistical uncertainties + treatment: ADD + type: CORR + corr_stat_3: + description: Correlated statistical uncertainties + treatment: ADD + type: CORR + corr_stat_4: + description: Correlated statistical uncertainties + treatment: ADD + type: CORR + corr_stat_5: + description: Correlated statistical uncertainties + treatment: ADD + type: CORR + corr_stat_6: + description: Correlated statistical uncertainties + treatment: ADD + type: CORR + corr_stat_7: + description: Correlated statistical uncertainties + treatment: ADD + type: CORR + corr_stat_8: + description: Correlated statistical uncertainties + treatment: ADD + type: CORR + corr_stat_9: + description: Correlated statistical uncertainties + treatment: ADD + type: CORR + corr_stat_10: + description: Correlated statistical uncertainties + treatment: ADD + type: CORR + corr_stat_11: + description: Correlated statistical uncertainties + treatment: ADD + type: CORR + corr_stat_12: + description: Correlated statistical uncertainties + treatment: ADD + type: CORR + corr_stat_13: + description: Correlated statistical uncertainties + treatment: ADD + type: CORR + corr_stat_14: + description: Correlated statistical uncertainties + treatment: ADD + type: CORR + corr_stat_15: + description: Correlated statistical uncertainties + treatment: ADD + type: CORR + corr_stat_16: + description: Correlated statistical uncertainties + treatment: ADD + type: CORR + corr_stat_17: + description: Correlated statistical uncertainties + treatment: ADD + type: CORR + corr_stat_18: + description: Correlated statistical uncertainties + treatment: ADD + type: CORR + corr_stat_19: + description: Correlated statistical uncertainties + treatment: ADD + type: CORR + corr_stat_20: + description: Correlated statistical uncertainties + treatment: ADD + type: CORR + corr_stat_21: + description: Correlated statistical uncertainties + treatment: ADD + type: CORR + corr_stat_22: + description: Correlated statistical uncertainties + treatment: ADD + type: CORR + stat: + description: Uncorrelated statistical uncertainties + treatment: ADD + type: UNCORR + sys_luminosity: + description: CMS normalization luminosity uncertainty + treatment: MULT + type: CMSLUMI12 +bins: +- sys_corr_1: 645.7611420830937 + sys_corr_2: -165.0316168000447 + sys_corr_3: -73.58942105341794 + sys_corr_4: 85.66927789249699 + sys_corr_5: -67.75166049175371 + sys_corr_6: 23.025878377947365 + sys_corr_7: 90.53224184796234 + sys_corr_8: 1.0331022144083608 + sys_corr_9: -78.67158774726632 + sys_corr_10: -71.94887885278767 + sys_corr_11: 15.644042556536943 + sys_corr_12: -14.57604666363654 + sys_corr_13: 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0.15998812831876316 + corr_stat_21: -41.88381937372009 + corr_stat_22: -161.2795193551134 + stat: 600.0 + sys_luminosity: 12131.6 +- sys_corr_1: -72.35430518179652 + sys_corr_2: 585.1703960917054 + sys_corr_3: -9.019538562804364 + sys_corr_4: 46.39882707641847 + sys_corr_5: -18.86539847617626 + sys_corr_6: 20.77666089951114 + sys_corr_7: 29.022526944486202 + sys_corr_8: 57.053338625640556 + sys_corr_9: 30.567623682258244 + sys_corr_10: 1.8610248175306592 + sys_corr_11: -1.6356635279426592 + sys_corr_12: -5.560533891173429 + sys_corr_13: 8.921645451724485 + sys_corr_14: -3.6609838193596485 + sys_corr_15: 4.17286144211308 + sys_corr_16: -30.357026073731745 + sys_corr_17: 0.12732755104208116 + sys_corr_18: -46.33909710903091 + sys_corr_19: 4.344132871350705 + sys_corr_20: -9.33354147575753 + sys_corr_21: -27.815753981248772 + sys_corr_22: -13.815436857482503 + corr_stat_1: 9561.666974536012 + corr_stat_2: 4355.211165922515 + corr_stat_3: 215.15747814323305 + corr_stat_4: 578.9279688632612 + corr_stat_5: -72.56728442655417 + corr_stat_6: -41.79321582735145 + corr_stat_7: -135.03131326920368 + corr_stat_8: -56.49828294066753 + corr_stat_9: 118.67893789927423 + corr_stat_10: -79.7131050832127 + corr_stat_11: 60.8045840118983 + corr_stat_12: 39.41529651483907 + corr_stat_13: 767.9522444258454 + corr_stat_14: 812.465804727721 + corr_stat_15: -436.68579315601494 + corr_stat_16: 74.84701480858111 + corr_stat_17: 103.55450041222807 + corr_stat_18: 14.57461719764442 + corr_stat_19: 102.57404374940532 + corr_stat_20: 21.97654226348712 + corr_stat_21: -34.46920177392997 + corr_stat_22: -248.60778991796596 + stat: 600.0 + sys_luminosity: 11434.800000000001 diff --git a/buildmaster/CMS_WP_7TEV_ELECTRON/data.yaml b/buildmaster/CMS_WP_7TEV_ELECTRON/data.yaml new file mode 100644 index 0000000000..d7b1cfb390 --- /dev/null +++ b/buildmaster/CMS_WP_7TEV_ELECTRON/data.yaml @@ -0,0 +1,12 @@ +data_central: +- 0.10200000000000001 +- 0.111 +- 0.116 +- 0.123 +- 0.133 +- 0.136 +- 0.156 +- 0.166 +- 0.197 +- 0.224 +- 0.21 diff --git a/buildmaster/CMS_WP_7TEV_ELECTRON/filter.py b/buildmaster/CMS_WP_7TEV_ELECTRON/filter.py new file mode 100644 index 0000000000..8d4d2a8e5e --- /dev/null +++ b/buildmaster/CMS_WP_7TEV_ELECTRON/filter.py @@ -0,0 +1,334 @@ +import numpy as np +import pandas as pd +import pathlib +import yaml + +from validphys.commondata_utils import covmat_to_artunc + + +MZ_VALUE = 91.1876 # GeV +MW_VALUE = 80.398 # GeV +SQRT_S = 7_000.0 # GeV +NORM_FACTOR = 1e-3 # Correct for Units + +# Correct tables to read values [[W+/W-]] +TABLES = {1: [0]} # {table_id: [indexes]} +NB_POINTS = [11] # [N_W+/-] + +# MAP Boson string to M values +MAP_BOSON = {"Z": MZ_VALUE, "W": MW_VALUE} +MAP_TABLE = {1: "W"} +MAP_TAB_UNC = {1: 2} # Map Data table to Unc. tables + + +def load_yaml(table_id: int, version: int = 1) -> dict: + """Load the HEP data table in yaml format. + + Parameters + ---------- + table_id: int + table ID number + + Returns + ------- + dict: + ditionary containing the table contents + + """ + filename = f"HEPData-ins1118047-v{version}-Table_{table_id}" + table = pathlib.Path(f"./rawdata/{filename}.yaml") + + return yaml.safe_load(table.read_text()) + + +def read_metadata() -> tuple[int, int, list]: + """Read the version and list of tables from metadata. + + Returns + ------- + tuple(int, list): + data version and list of hepdata tables + + """ + metadata = pathlib.Path("./metadata.yaml") + content = yaml.safe_load(metadata.read_text()) + + version = content["hepdata"]["version"] + nb_datapoints = sum(content["implemented_observables"][0]["npoints"]) + tables = content["implemented_observables"][0]["tables"] + + return version, nb_datapoints, tables + + +def get_kinematics(hepdata: dict, bin_index: list, boson: str = "W") -> list: + """Read the version and list of tables from metadata. + + Parameters + ---------- + hepdata: dict + dictionary containing all data info + bin_index: list + list of Non-empty bin index + + Returns + ------- + tuple(int, list): + data version and list of hepdata tables + + """ + rapbins = hepdata["independent_variables"][0]["values"] + + kinematics = [] + for bins in bin_index: + ymin = float(rapbins[bins]["low"]) + ymax = float(rapbins[bins]["high"]) + kin_value = { + "eta": {"min": ymin, "mid": 0.5 * (ymin + ymax), "max": ymax}, + "M2": {"min": None, "mid": MAP_BOSON[boson] ** 2, "max": None}, + "sqrt_s": {"min": None, "mid": SQRT_S, "max": None}, + } + kinematics.append(kin_value) + + return kinematics + + +def get_data_values(hepdata: dict, bin_index: list, indx: int = 0) -> list: + """Extract the central values from the HepData yaml file. + + Parameters + ---------- + hepdata: dict + dictionary containing all data info + bin_index: list + list of Non-empty bin index + idx: int + index from which to read the central value, default=0 + + Returns + ------- + list: + list of dictionaries whose contents are the central values + + """ + central = hepdata["dependent_variables"][indx]["values"] + + return [NORM_FACTOR * central[i]["value"] for i in bin_index] + + +def get_errors(hepdata: dict, bin_index: list, indx: int = 0) -> dict: + """Extract the error values from the HepData yaml file. + + Parameters + ---------- + hepdata: dict + dictionary containing all data info + bin_index: list + list of Non-empty bin index + indx: int + index from which the errors will be read + + Returns + ------- + list: + list of dictionaries whose contents are the various + source of uncertainties + + """ + errors = hepdata["dependent_variables"][indx]["values"] + + stat, sys_corr = [], [] + for idx in bin_index: + stat.append(NORM_FACTOR * errors[idx]["errors"][0]["symerror"]) + sys_corr.append(NORM_FACTOR * errors[idx]["errors"][1]["symerror"]) + + return {"stat": stat, "sys_corr": sys_corr} + + +def read_corrmatrix(nb_datapoints: int, unc_hepdata: int) -> list: + """Read the covariance matrix from a given HepData table. + + Parameters + ---------- + nb_datapoints: int + total number of datapoints + unc_hepdata: int + HepData table ID corresponding to the covmat + + Returns + ------- + list: (nb_datapoints,) + entries of the corr/cov-mat as a list + + """ + del nb_datapoints + unc_loaded = load_yaml(table_id=unc_hepdata) + df = pd.DataFrame(unc_loaded['dependent_variables'][0]['values']) + + return df['value'].values.tolist() + + +def generate_artificial_unc(**kwargs) -> np.ndarray: + """A wrapper around `covmat_to_artunc` to return an array. + + Returns + ------- + np.ndarray: + a squared matrix with artificial uncertainties + """ + artunc = covmat_to_artunc(**kwargs) + return np.array(artunc) + + +def concatenate_dicts(multidict: list[dict]) -> dict: + """Given a list of dictionaries combined the values. + + Parameters + ---------- + multidict: list[dict] + list of dictionaries with the same keys + + Returns + ------- + dict: + dictionary whose keys are combined + """ + new_dict = {} + for key in multidict[0].keys(): + new_dict[key] = [] + for element in multidict: + new_dict[key] += element[key] + + return new_dict + + +def format_uncertainties(uncs: dict, artunc: np.ndarray) -> list: + """Format the uncertainties to be dumped into the yaml file. + + Parameters + ---------- + uncs: dict + dictionary containing the various source of uncertainties + artunc: no.ndarray + array of the artificial systematic uncertainties + + Returns + ------- + list: + list of ditionaries whose elements are the various errors + + """ + combined_errors = [] + + artunc = artunc.tolist() + for idat in range(len(artunc)): + error_value = {} + for jdat, value in enumerate(artunc[idat]): + error_value[f"sys_corr_{jdat + 1}"] = value * NORM_FACTOR + + error_value["stat"] = uncs["stat"][idat] + combined_errors.append(error_value) + + return combined_errors + + +def dump_commondata( + kinematics: list, data: list, errors: list, nb_syscorr: int +) -> None: + """Function that generates and writes the commondata files. + + Parameters + ---------- + kinematics: list + list containing the kinematic values + data: list + list containing the central values + errors: list + list containing the different errors + nb_syscorr: int + number of source of Systematics + + """ + error_definition = { + f"sys_corr_{i + 1}": { + "description": "Correlated systematic uncertainties", + "treatment": "ADD", + "type": "CORR", + } + for i in range(nb_syscorr) + } + + error_definition["stat"] = { + "description": "Uncorrelated statistical uncertainties", + "treatment": "ADD", + "type": "UNCORR", + } + + with open("data.yaml", "w") as file: + yaml.dump({"data_central": data}, file, sort_keys=False) + + with open("kinematics.yaml", "w") as file: + yaml.dump({"bins": kinematics}, file, sort_keys=False) + + with open("uncertainties.yaml", "w") as file: + yaml.dump( + {"definitions": error_definition, "bins": errors}, + file, + sort_keys=False, + ) + + +def main_filter() -> None: + """Main driver of the filter that produces commmondata. + + There are two main different sources of uncertainties. + + 1. Statistical uncertainties: ADD, UNCORR + + 2. Correlated Systematic uncertainties: ADD, CORR: + constructed from the covariance matrix provided with the + measurements + + """ + version, _, _ = read_metadata() + nbpoints = sum(NB_POINTS) + + nbp_idx = 0 + comb_kins, comb_data = [], [] + comb_covmat, combined_errors = [], [] + for tabid in TABLES.keys(): # Loop over tables + for idx in TABLES[tabid]: # Loop over Bosons [W+/-] + bin_index = [i for i in range(NB_POINTS[nbp_idx])] + yaml_content = load_yaml(table_id=tabid, version=version) + + # Extract the kinematic, data, and uncertainties + kinematics = get_kinematics( + yaml_content, bin_index, MAP_TABLE[tabid] + ) + data_central = get_data_values(yaml_content, bin_index, indx=idx) + uncertainties = get_errors(yaml_content, bin_index, indx=idx) + + # Collect all the results from different tables + comb_kins += kinematics + comb_data += data_central + comb_covmat += read_corrmatrix( + NB_POINTS[nbp_idx], MAP_TAB_UNC[tabid] + ) + combined_errors.append(uncertainties) + + nbp_idx += 1 + + errors_combined = concatenate_dicts(combined_errors) + # Compute the Artifical Systematics from CovMat + artunc = generate_artificial_unc( + ndata=nbpoints, covmat_list=comb_covmat, no_of_norm_mat=0 + ) + errors = format_uncertainties(errors_combined, artunc) + + # Generate all the necessary files + dump_commondata(comb_kins, comb_data, errors, artunc.shape[-1]) + + return + + +if __name__ == "__main__": + main_filter() diff --git a/buildmaster/CMS_WP_7TEV_ELECTRON/kinematics.yaml b/buildmaster/CMS_WP_7TEV_ELECTRON/kinematics.yaml new file mode 100644 index 0000000000..2b2967ff21 --- /dev/null +++ b/buildmaster/CMS_WP_7TEV_ELECTRON/kinematics.yaml @@ -0,0 +1,133 @@ +bins: +- eta: + min: 0.0 + mid: 0.1 + max: 0.2 + M2: + min: null + mid: 6463.838403999999 + max: null + sqrt_s: + min: null + mid: 7000.0 + max: null +- eta: + min: 0.2 + mid: 0.30000000000000004 + max: 0.4 + M2: + min: null + mid: 6463.838403999999 + max: null + sqrt_s: + min: null + mid: 7000.0 + max: null +- eta: + min: 0.4 + mid: 0.5 + max: 0.6 + M2: + min: null + mid: 6463.838403999999 + max: null + sqrt_s: + min: null + mid: 7000.0 + max: null +- eta: + min: 0.6 + mid: 0.7 + max: 0.8 + M2: + min: null + mid: 6463.838403999999 + max: null + sqrt_s: + min: null + mid: 7000.0 + max: null +- eta: + min: 0.8 + mid: 0.9 + max: 1.0 + M2: + min: null + mid: 6463.838403999999 + max: null + sqrt_s: + min: null + mid: 7000.0 + max: null +- eta: + min: 1.0 + mid: 1.1 + max: 1.2 + M2: + min: null + mid: 6463.838403999999 + max: null + sqrt_s: + min: null + mid: 7000.0 + max: null +- eta: + min: 1.2 + mid: 1.2999999999999998 + max: 1.4 + M2: + min: null + mid: 6463.838403999999 + max: null + sqrt_s: + min: null + mid: 7000.0 + max: null +- eta: + min: 1.6 + mid: 1.7000000000000002 + max: 1.8 + M2: + min: null + mid: 6463.838403999999 + max: null + sqrt_s: + min: null + mid: 7000.0 + max: null +- eta: + min: 1.8 + mid: 1.9 + max: 2.0 + M2: + min: null + mid: 6463.838403999999 + max: null + sqrt_s: + min: null + mid: 7000.0 + max: null +- eta: + min: 2.0 + mid: 2.1 + max: 2.2 + M2: + min: null + mid: 6463.838403999999 + max: null + sqrt_s: + min: null + mid: 7000.0 + max: null +- eta: + min: 2.2 + mid: 2.3 + max: 2.4 + M2: + min: null + mid: 6463.838403999999 + max: null + sqrt_s: + min: null + mid: 7000.0 + max: null diff --git a/buildmaster/CMS_WP_7TEV_ELECTRON/metadata.yaml b/buildmaster/CMS_WP_7TEV_ELECTRON/metadata.yaml new file mode 100644 index 0000000000..ea4fe6bce0 --- /dev/null +++ b/buildmaster/CMS_WP_7TEV_ELECTRON/metadata.yaml @@ -0,0 +1,50 @@ +setname: "CMS_WP_7TEV_ELECTRON" + +version: 1 +version_comment: "First implementation" + +# References +arXiv: + url: "https://arxiv.org/abs/1206.2598" +iNSPIRE: + url: "https://inspirehep.net/literature/1118047" +hepdata: + url: "https://www.hepdata.net/record/ins1118047" + version: 1 + +nnpdf_metadata: + nnpdf31_process: "DY CC" + experiment: "CMS" + +implemented_observables: + +- observable_name: "ASY" + observable: + description: "Measurement of the electron charge asymmetry in inclusive W production in pp collisions at sqrt(s) = 7 TeV" + label: r"$dA_{e} / d|y|$" + units: "[fb]" + process_type: "EWK_RAP_ASY" + tables: [1] + npoints: [11] + ndata: 11 + plotting: + kinematics_override: ewk_rap_sqrt_scale # TODO: To Check + dataset_label: "CMS $W$ asymmetry 840 pb" + plot_x: eta + y_label: '$dA_{e}/dy$' + kinematic_coverage: [eta, M2, sqrt_s] + kinematics: + variables: + eta: {description: "Electron pseudorapidity", label: '$\eta$', units: ""} + M2: {description: "W boson Mass", label: "$M^2$", units: "$GeV^2$"} + sqrt_s: {description: "Center of Mass Energy", label: '$\sqrt{s}$', units: "$GeV$"} + file: kinematics.yaml + data_central: data.yaml + data_uncertainties: + - uncertainties.yaml + theory: + FK_tables: + - - CMSWEASY840PB-CMS-PAS-SMP-12-001-Wplus_eta4 + - - CMSWEASY840PB-CMS-PAS-SMP-12-001-Wminus_eta3 + operation: ASY + conversion_factor: 1.0 diff --git a/buildmaster/CMS_WP_7TEV_ELECTRON/rawdata/HEPData-ins1118047-v1-Table_1.yaml b/buildmaster/CMS_WP_7TEV_ELECTRON/rawdata/HEPData-ins1118047-v1-Table_1.yaml new file mode 100644 index 0000000000..f6d1835afa --- /dev/null +++ b/buildmaster/CMS_WP_7TEV_ELECTRON/rawdata/HEPData-ins1118047-v1-Table_1.yaml @@ -0,0 +1,221 @@ +dependent_variables: +- header: {name: '$\mathcal{A}$'} + qualifiers: + - {name: PT(E), units: GEV, value: '> 35'} + - {name: RE, value: P P --> W+- < E+- NUE > X} + - {name: SQRT(S), units: GeV, value: '7000.0'} + values: + - errors: + - {label: stat, symerror: 3.0} + - {label: sys, symerror: 5.0} + value: 102.0 + - errors: + - {label: stat, symerror: 3.0} + - {label: sys, symerror: 5.0} + value: 111.0 + - errors: + - {label: stat, symerror: 3.0} + - {label: sys, symerror: 5.0} + value: 116.0 + - errors: + - {label: stat, symerror: 3.0} + - {label: sys, symerror: 5.0} + value: 123.0 + - errors: + - {label: stat, symerror: 3.0} + - {label: sys, symerror: 5.0} + value: 133.0 + - errors: + - {label: stat, symerror: 3.0} + - {label: sys, symerror: 6.0} + value: 136.0 + - errors: + - {label: stat, symerror: 3.0} + - {label: sys, symerror: 6.0} + value: 156.0 + - errors: + - {label: stat, symerror: 3.0} + - {label: sys, symerror: 10.0} + value: 166.0 + - errors: + - {label: stat, symerror: 3.0} + - {label: sys, symerror: 9.0} + value: 197.0 + - errors: + - {label: stat, symerror: 3.0} + - {label: sys, symerror: 11.0} + value: 224.0 + - errors: + - {label: stat, symerror: 4.0} + - {label: sys, symerror: 13.0} + value: 210.0 +- header: {name: CT10} + qualifiers: + - {name: PT(E), units: GEV, value: '> 35'} + - {name: RE, value: P P --> W+- < E+- NUE > X} + - {name: SQRT(S), units: GeV, value: '7000.0'} + values: + - errors: + - {symerror: 5.0} + value: 109.0 + - errors: + - {symerror: 5.0} + value: 114.0 + - errors: + - {symerror: 5.0} + value: 119.0 + - errors: + - {symerror: 5.0} + value: 126.0 + - errors: + - asymerror: {minus: -6.0, plus: 5.0} + value: 138.0 + - errors: + - {symerror: 6.0} + value: 146.0 + - errors: + - asymerror: {minus: -7.0, plus: 6.0} + value: 164.0 + - errors: + - asymerror: {minus: -9.0, plus: 8.0} + value: 195.0 + - errors: + - asymerror: {minus: -10.0, plus: 8.0} + value: 207.0 + - errors: + - asymerror: {minus: -11.0, plus: 8.0} + value: 224.0 + - errors: + - asymerror: {minus: -12.0, plus: 8.0} + value: 241.0 +- header: {name: HERAPDF} + qualifiers: + - {name: PT(E), units: GEV, value: '> 35'} + - {name: RE, value: P P --> W+- < E+- NUE > X} + - {name: SQRT(S), units: GeV, value: '7000.0'} + values: + - errors: + - asymerror: {minus: -8.0, plus: 4.0} + value: 106.0 + - errors: + - asymerror: {minus: -8.0, plus: 4.0} + value: 110.0 + - errors: + - asymerror: {minus: -8.0, plus: 4.0} + value: 115.0 + - errors: + - asymerror: {minus: -8.0, plus: 4.0} + value: 122.0 + - errors: + - asymerror: {minus: -8.0, plus: 4.0} + value: 132.0 + - errors: + - asymerror: {minus: -8.0, plus: 5.0} + value: 140.0 + - errors: + - asymerror: {minus: -7.0, plus: 5.0} + value: 153.0 + - errors: + - {symerror: 5.0} + value: 181.0 + - errors: + - asymerror: {minus: -3.0, plus: 4.0} + value: 196.0 + - errors: + - asymerror: {minus: -3.0, plus: 5.0} + value: 211.0 + - errors: + - asymerror: {minus: -4.0, plus: 9.0} + value: 225.0 +- header: {name: MSTW} + qualifiers: + - {name: PT(E), units: GEV, value: '> 35'} + - {name: RE, value: P P --> W+- < E+- NUE > X} + - {name: SQRT(S), units: GeV, value: '7000.0'} + values: + - errors: + - asymerror: {minus: -5.0, plus: 3.0} + value: 87.0 + - errors: + - asymerror: {minus: -5.0, plus: 3.0} + value: 89.0 + - errors: + - asymerror: {minus: -5.0, plus: 3.0} + value: 98.0 + - errors: + - asymerror: {minus: -5.0, plus: 3.0} + value: 103.0 + - errors: + - asymerror: {minus: -5.0, plus: 4.0} + value: 115.0 + - errors: + - asymerror: {minus: -5.0, plus: 4.0} + value: 128.0 + - errors: + - {symerror: 5.0} + value: 144.0 + - errors: + - {symerror: 5.0} + value: 179.0 + - errors: + - asymerror: {minus: -5.0, plus: 6.0} + value: 200.0 + - errors: + - asymerror: {minus: -5.0, plus: 6.0} + value: 213.0 + - errors: + - asymerror: {minus: -5.0, plus: 6.0} + value: 231.0 +- header: {name: NNPDF} + qualifiers: + - {name: PT(E), units: GEV, value: '> 35'} + - {name: RE, value: P P --> W+- < E+- NUE > X} + - {name: SQRT(S), units: GeV, value: '7000.0'} + values: + - errors: + - {symerror: 5.0} + value: 107.0 + - errors: + - {symerror: 5.0} + value: 110.0 + - errors: + - {symerror: 5.0} + value: 116.0 + - errors: + - {symerror: 5.0} + value: 123.0 + - errors: + - {symerror: 5.0} + value: 134.0 + - errors: + - {symerror: 5.0} + value: 145.0 + - errors: + - {symerror: 5.0} + value: 158.0 + - errors: + - {symerror: 4.0} + value: 190.0 + - errors: + - {symerror: 4.0} + value: 206.0 + - errors: + - {symerror: 4.0} + value: 219.0 + - errors: + - {symerror: 5.0} + value: 231.0 +independent_variables: +- header: {name: $|\eta|$} + values: + - {high: 0.2, low: 0.0} + - {high: 0.4, low: 0.2} + - {high: 0.6, low: 0.4} + - {high: 0.8, low: 0.6} + - {high: 1.0, low: 0.8} + - {high: 1.2, low: 1.0} + - {high: 1.4, low: 1.2} + - {high: 1.8, low: 1.6} + - {high: 2.0, low: 1.8} + - {high: 2.2, low: 2.0} + - {high: 2.4, low: 2.2} diff --git a/buildmaster/CMS_WP_7TEV_ELECTRON/rawdata/HEPData-ins1118047-v1-Table_2.yaml b/buildmaster/CMS_WP_7TEV_ELECTRON/rawdata/HEPData-ins1118047-v1-Table_2.yaml new file mode 100644 index 0000000000..9ab0b37b0b --- /dev/null +++ b/buildmaster/CMS_WP_7TEV_ELECTRON/rawdata/HEPData-ins1118047-v1-Table_2.yaml @@ -0,0 +1,375 @@ +dependent_variables: +- header: {name: ''} + qualifiers: + - {name: PT(E), units: GEV, value: '> 35'} + - {name: RE, value: P P --> W+- < E+- NUE > X} + - {name: SQRT(S), units: GeV, value: '7000.0'} + values: + - {value: 23.7} + - {value: 2.6} + - {value: 2.2} + - {value: 2.5} + - {value: 2.7} + - {value: 2.9} + - {value: 2.9} + - {value: 2.9} + - {value: 2.8} + - {value: 3.1} + - {value: 4.2} + - {value: 2.6} + - 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2.2} + - {high: 2.4, low: 2.2} + - {high: 2.4, low: 2.2} + - {high: 2.4, low: 2.2} + - {high: 2.4, low: 2.2} + - {high: 2.4, low: 2.2} + - {high: 2.4, low: 2.2} + - {high: 2.4, low: 2.2} + - {high: 2.4, low: 2.2} + - {high: 2.4, low: 2.2} + - {high: 2.4, low: 2.2} diff --git a/buildmaster/CMS_WP_7TEV_ELECTRON/uncertainties.yaml b/buildmaster/CMS_WP_7TEV_ELECTRON/uncertainties.yaml new file mode 100644 index 0000000000..5c95c049dd --- /dev/null +++ b/buildmaster/CMS_WP_7TEV_ELECTRON/uncertainties.yaml @@ -0,0 +1,182 @@ +definitions: + sys_corr_1: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_2: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_3: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_4: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_5: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_6: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_7: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_8: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_9: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_10: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_11: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + stat: + description: Uncorrelated statistical uncertainties + treatment: ADD + type: UNCORR +bins: +- sys_corr_1: -0.0005273878529736807 + sys_corr_2: 0.0004920757500873163 + sys_corr_3: -0.00031373344952905 + sys_corr_4: 0.00028280270500594476 + sys_corr_5: -0.0014602701195220583 + sys_corr_6: 0.0009238102753355476 + sys_corr_7: 0.0011666468861370014 + sys_corr_8: -0.0008139575702963524 + sys_corr_9: 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0.0005857345211502024 + sys_corr_3: -0.0003523008205602437 + sys_corr_4: 0.00027249913554191617 + sys_corr_5: -0.001898694087222078 + sys_corr_6: 0.0010865145620197626 + sys_corr_7: 0.0009742935858833877 + sys_corr_8: -0.0012038153800011354 + sys_corr_9: 0.0015699535896636517 + sys_corr_10: 0.0012485519296600764 + sys_corr_11: -0.003672677707767206 + stat: 0.003 +- sys_corr_1: -0.0006976970931417799 + sys_corr_2: 0.000676232157965952 + sys_corr_3: -0.0003587660969143143 + sys_corr_4: 0.0003116448944890272 + sys_corr_5: -0.001807221076617689 + sys_corr_6: 0.0007909641675287512 + sys_corr_7: -0.004152983554990873 + sys_corr_8: -0.0005267234021666036 + sys_corr_9: -0.0005716977971515877 + sys_corr_10: 0.00037446477642891397 + sys_corr_11: -0.0004966373502303589 + stat: 0.003 +- sys_corr_1: -0.0008670249068697416 + sys_corr_2: 0.000853761909454208 + sys_corr_3: -0.000400706536434319 + sys_corr_4: 0.0003972370938853973 + sys_corr_5: -0.0026403129289845665 + sys_corr_6: 0.0026647567495271035 + sys_corr_7: 0.00044094880207536005 + sys_corr_8: 0.0037468181886824675 + sys_corr_9: 0.0003279726662798175 + sys_corr_10: -0.0006687235607489197 + sys_corr_11: 0.000375466140948429 + stat: 0.003 +- sys_corr_1: -0.0008975426501703225 + sys_corr_2: 0.0009356900921947209 + sys_corr_3: -0.00046002906217392316 + sys_corr_4: 0.0003860530853620133 + sys_corr_5: -0.004193370705167083 + sys_corr_6: -0.004053372820356175 + sys_corr_7: 0.0002935484156385512 + sys_corr_8: 0.0005255775721301213 + sys_corr_9: 9.194878363877569e-05 + sys_corr_10: -0.00015244975381778492 + sys_corr_11: 0.00022349600684170643 + stat: 0.003 +- sys_corr_1: -0.001399977492573948 + sys_corr_2: 0.003089315099466261 + sys_corr_3: -0.008847637987495549 + sys_corr_4: -0.002076625106990106 + sys_corr_5: 0.0008833716306296081 + sys_corr_6: -0.00013441048331305042 + sys_corr_7: 3.2049495811973534e-05 + sys_corr_8: 4.654275603138391e-05 + sys_corr_9: 2.623828980828227e-05 + sys_corr_10: -2.1822616727809066e-05 + sys_corr_11: 1.8861472391203358e-05 + stat: 0.003 +- sys_corr_1: -0.0013386957747181583 + sys_corr_2: 0.0021623894718952527 + sys_corr_3: -0.0013652391375688947 + sys_corr_4: 0.008545719838293641 + sys_corr_5: 0.0010014322158275902 + sys_corr_6: -0.00017556072673563628 + sys_corr_7: 3.5082671388530275e-05 + sys_corr_8: 2.941945017434505e-05 + sys_corr_9: 4.383827444833519e-05 + sys_corr_10: -3.211237345372283e-05 + sys_corr_11: 4.752772650752839e-06 + stat: 0.003 +- sys_corr_1: -0.002556489001393761 + sys_corr_2: 0.009394159793651867 + sys_corr_3: 0.0035644567746187777 + sys_corr_4: -0.0015824646728441595 + sys_corr_5: 0.0008311050271506726 + sys_corr_6: -0.00010853839532078333 + sys_corr_7: 4.088503970941758e-05 + sys_corr_8: -7.469006977796868e-06 + sys_corr_9: 7.943923687240917e-06 + sys_corr_10: -1.6508817889550495e-05 + sys_corr_11: -2.218538452510414e-07 + stat: 0.003 +- sys_corr_1: -0.012762587168995332 + sys_corr_2: -0.0027070798790554294 + sys_corr_3: 0.0005374443403068933 + sys_corr_4: -0.00047197992053383506 + sys_corr_5: 0.0005170576319380566 + sys_corr_6: -8.873625919098852e-05 + sys_corr_7: 2.5833190636539972e-05 + sys_corr_8: 5.5817625283899605e-06 + sys_corr_9: 1.732158157047201e-05 + sys_corr_10: -1.3795560081041291e-05 + sys_corr_11: 8.014672536249117e-06 + stat: 0.004 diff --git a/buildmaster/CMS_WP_7TEV_MUON/data.yaml b/buildmaster/CMS_WP_7TEV_MUON/data.yaml new file mode 100644 index 0000000000..3eeea81814 --- /dev/null +++ b/buildmaster/CMS_WP_7TEV_MUON/data.yaml @@ -0,0 +1,12 @@ +data_central: +- 0.1521 +- 0.15380000000000002 +- 0.16030000000000003 +- 0.1706 +- 0.1788 +- 0.20070000000000002 +- 0.2113 +- 0.2217 +- 0.2461 +- 0.2616 +- 0.26489999999999997 diff --git a/buildmaster/CMS_WP_7TEV_MUON/filter.py b/buildmaster/CMS_WP_7TEV_MUON/filter.py new file mode 100644 index 0000000000..914932ccbb --- /dev/null +++ b/buildmaster/CMS_WP_7TEV_MUON/filter.py @@ -0,0 +1,356 @@ +import numpy as np +import pandas as pd +import pathlib +import yaml + +from validphys.commondata_utils import covmat_to_artunc + + +MZ_VALUE = 91.1876 # GeV +MW_VALUE = 80.398 # GeV +SQRT_S = 7_000.0 # GeV +NORM_FACTOR = 1e-2 # Correct for Units + +# Correct tables to read values [[W+/W-]] +TABLES = {1: [0]} # {table_id: [indexes]} +NB_POINTS = [11] # [N_W+/-] + +# MAP Boson string to M values +MAP_BOSON = {"Z": MZ_VALUE, "W": MW_VALUE} +MAP_TABLE = {1: "W"} + + +def load_yaml(table_id: int, version: int = 1) -> dict: + """Load the HEP data table in yaml format. + + Parameters + ---------- + table_id: int + table ID number + + Returns + ------- + dict: + ditionary containing the table contents + + """ + filename = f"HEPData-ins1273570-v{version}-Table_{table_id}" + table = pathlib.Path(f"./rawdata/{filename}.yaml") + + return yaml.safe_load(table.read_text()) + + +def read_metadata() -> tuple[int, int, list]: + """Read the version and list of tables from metadata. + + Returns + ------- + tuple(int, list): + data version and list of hepdata tables + + """ + metadata = pathlib.Path("./metadata.yaml") + content = yaml.safe_load(metadata.read_text()) + + version = content["hepdata"]["version"] + nb_datapoints = sum(content["implemented_observables"][0]["npoints"]) + tables = content["implemented_observables"][0]["tables"] + + return version, nb_datapoints, tables + + +def get_kinematics(hepdata: dict, bin_index: list, boson: str = "W") -> list: + """Read the version and list of tables from metadata. + + Parameters + ---------- + hepdata: dict + dictionary containing all data info + bin_index: list + list of Non-empty bin index + + Returns + ------- + tuple(int, list): + data version and list of hepdata tables + + """ + rapbins = hepdata["independent_variables"][0]["values"] + + kinematics = [] + for bins in bin_index: + ymin = float(rapbins[bins]["low"]) + ymax = float(rapbins[bins]["high"]) + kin_value = { + "eta": {"min": ymin, "mid": 0.5 * (ymin + ymax), "max": ymax}, + "M2": {"min": None, "mid": MAP_BOSON[boson] ** 2, "max": None}, + "sqrt_s": {"min": None, "mid": SQRT_S, "max": None}, + } + kinematics.append(kin_value) + + return kinematics + + +def get_data_values(hepdata: dict, bin_index: list, indx: int = 0) -> list: + """Extract the central values from the HepData yaml file. + + Parameters + ---------- + hepdata: dict + dictionary containing all data info + bin_index: list + list of Non-empty bin index + idx: int + index from which to read the central value, default=0 + + Returns + ------- + list: + list of dictionaries whose contents are the central values + + """ + central = hepdata["dependent_variables"][indx]["values"] + + return [NORM_FACTOR * central[i]["value"] for i in bin_index] + + +def get_errors(hepdata: dict, bin_index: list, indx: int = 0) -> dict: + """Extract the error values from the HepData yaml file. + + Parameters + ---------- + hepdata: dict + dictionary containing all data info + bin_index: list + list of Non-empty bin index + indx: int + index from which the errors will be read + + Returns + ------- + list: + list of dictionaries whose contents are the various + source of uncertainties + + """ + errors = hepdata["dependent_variables"][indx]["values"] + + stat, sys_corr = [], [] + for idx in bin_index: + stat.append(NORM_FACTOR * errors[idx]["errors"][0]["symerror"]) + sys_corr.append(NORM_FACTOR * errors[idx]["errors"][1]["symerror"]) + + return {"stat": stat, "sys_corr": sys_corr} + + +def read_corrmatrix(nb_datapoints: int) -> np.ndarray: + """Read the covariance matrix from a table. + + Parameters + ---------- + nb_datapoints: int + total number of datapoints + + Returns + ------- + np.ndarray: (nb_datapoints, nb_datapoints) + entries of the corr/cov-mat as an array + + """ + corrmat = pd.read_csv( + "./rawdata/covmat.corr", + names=[f'{i}' for i in range(nb_datapoints)], + delim_whitespace=True, + ) + return corrmat.iloc[:, :].values + + +def multiply_syst(covmat: np.ndarray, sys: list) -> np.ndarray: + """Multiply the covmat with the total systematics. + + Parameters + ---------- + covmat: np.ndarray + a squared matrix representing the covmat + sys: list + a vector containing the correlatdd systematics + + Returns + ------- + np.ndarray: + covariance matrix multiplied by the total systematics + + """ + covmat_sys = np.zeros(covmat.shape) + + for i in range(covmat.shape[0]): + for j in range(covmat.shape[-1]): + covmat_sys[i][j] = covmat[i][j] * sys[i] * sys[j] + + return NORM_FACTOR * covmat_sys.T.flatten() + + +def generate_artificial_unc(**kwargs) -> np.ndarray: + """A wrapper around `covmat_to_artunc` to return an array. + + Returns + ------- + np.ndarray: + a squared matrix with artificial uncertainties + """ + artunc = covmat_to_artunc(**kwargs) + return np.array(artunc) + + +def concatenate_dicts(multidict: list[dict]) -> dict: + """Given a list of dictionaries combined the values. + + Parameters + ---------- + multidict: list[dict] + list of dictionaries with the same keys + + Returns + ------- + dict: + dictionary whose keys are combined + """ + new_dict = {} + for key in multidict[0].keys(): + new_dict[key] = [] + for element in multidict: + new_dict[key] += element[key] + + return new_dict + + +def format_uncertainties(uncs: dict, artunc: np.ndarray) -> list: + """Format the uncertainties to be dumped into the yaml file. + + Parameters + ---------- + uncs: dict + dictionary containing the various source of uncertainties + artunc: no.ndarray + array of the artificial systematic uncertainties + + Returns + ------- + list: + list of ditionaries whose elements are the various errors + + """ + combined_errors = [] + + artunc = artunc.tolist() + for idat in range(len(artunc)): + error_value = {} + for jdat, value in enumerate(artunc[idat]): + error_value[f"sys_corr_{jdat + 1}"] = value + + error_value["stat"] = uncs["stat"][idat] + combined_errors.append(error_value) + + return combined_errors + + +def dump_commondata( + kinematics: list, data: list, errors: list, nb_syscorr: int +) -> None: + """Function that generates and writes the commondata files. + + Parameters + ---------- + kinematics: list + list containing the kinematic values + data: list + list containing the central values + errors: list + list containing the different errors + nb_syscorr: int + number of source of Systematics + + """ + error_definition = { + f"sys_corr_{i + 1}": { + "description": "Correlated systematic uncertainties", + "treatment": "ADD", + "type": "CORR", + } + for i in range(nb_syscorr) + } + + error_definition["stat"] = { + "description": "Uncorrelated statistical uncertainties", + "treatment": "ADD", + "type": "UNCORR", + } + + with open("data.yaml", "w") as file: + yaml.dump({"data_central": data}, file, sort_keys=False) + + with open("kinematics.yaml", "w") as file: + yaml.dump({"bins": kinematics}, file, sort_keys=False) + + with open("uncertainties.yaml", "w") as file: + yaml.dump( + {"definitions": error_definition, "bins": errors}, + file, + sort_keys=False, + ) + + +def main_filter() -> None: + """Main driver of the filter that produces commmondata. + + There are two main different sources of uncertainties. + + 1. Statistical uncertainties: ADD, UNCORR + + 2. Correlated Systematic uncertainties: ADD, CORR: + constructed from the covariance matrix provided with the + measurements + + """ + version, _, _ = read_metadata() + nbpoints = sum(NB_POINTS) + + nbp_idx = 0 + comb_kins, comb_data = [], [] + combined_errors = [] + for tabid in TABLES.keys(): # Loop over tables + for idx in TABLES[tabid]: # Loop over Bosons [W+/-] + bin_index = [i for i in range(NB_POINTS[nbp_idx])] + yaml_content = load_yaml(table_id=tabid, version=version) + + # Extract the kinematic, data, and uncertainties + kinematics = get_kinematics( + yaml_content, bin_index, MAP_TABLE[tabid] + ) + data_central = get_data_values(yaml_content, bin_index, indx=idx) + uncertainties = get_errors(yaml_content, bin_index, indx=idx) + + # Collect all the results from different tables + comb_kins += kinematics + comb_data += data_central + combined_errors.append(uncertainties) + + nbp_idx += 1 + + errors_combined = concatenate_dicts(combined_errors) + # Compute the Artifical Systematics from CovMat + corrmat = read_corrmatrix(nb_datapoints=nbpoints) + covmat = multiply_syst(corrmat, errors_combined["sys_corr"]) + artunc = generate_artificial_unc( + ndata=nbpoints, covmat_list=covmat.tolist(), no_of_norm_mat=0 + ) + errors = format_uncertainties(errors_combined, artunc) + + # Generate all the necessary files + dump_commondata(comb_kins, comb_data, errors, artunc.shape[-1]) + + return + + +if __name__ == "__main__": + main_filter() diff --git a/buildmaster/CMS_WP_7TEV_MUON/kinematics.yaml b/buildmaster/CMS_WP_7TEV_MUON/kinematics.yaml new file mode 100644 index 0000000000..988d4ef404 --- /dev/null +++ b/buildmaster/CMS_WP_7TEV_MUON/kinematics.yaml @@ -0,0 +1,133 @@ +bins: +- eta: + min: 0.0 + mid: 0.1 + max: 0.2 + M2: + min: null + mid: 6463.838403999999 + max: null + sqrt_s: + min: null + mid: 7000.0 + max: null +- eta: + min: 0.2 + mid: 0.30000000000000004 + max: 0.4 + M2: + min: null + mid: 6463.838403999999 + max: null + sqrt_s: + min: null + mid: 7000.0 + max: null +- eta: + min: 0.4 + mid: 0.5 + max: 0.6 + M2: + min: null + mid: 6463.838403999999 + max: null + sqrt_s: + min: null + mid: 7000.0 + max: null +- eta: + min: 0.6 + mid: 0.7 + max: 0.8 + M2: + min: null + mid: 6463.838403999999 + max: null + sqrt_s: + min: null + mid: 7000.0 + max: null +- eta: + min: 0.8 + mid: 0.9 + max: 1.0 + M2: + min: null + mid: 6463.838403999999 + max: null + sqrt_s: + min: null + mid: 7000.0 + max: null +- eta: + min: 1.0 + mid: 1.1 + max: 1.2 + M2: + min: null + mid: 6463.838403999999 + max: null + sqrt_s: + min: null + mid: 7000.0 + max: null +- eta: + min: 1.2 + mid: 1.2999999999999998 + max: 1.4 + M2: + min: null + mid: 6463.838403999999 + max: null + sqrt_s: + min: null + mid: 7000.0 + max: null +- eta: + min: 1.4 + mid: 1.5 + max: 1.6 + M2: + min: null + mid: 6463.838403999999 + max: null + sqrt_s: + min: null + mid: 7000.0 + max: null +- eta: + min: 1.6 + mid: 1.725 + max: 1.85 + M2: + min: null + mid: 6463.838403999999 + max: null + sqrt_s: + min: null + mid: 7000.0 + max: null +- eta: + min: 1.85 + mid: 1.975 + max: 2.1 + M2: + min: null + mid: 6463.838403999999 + max: null + sqrt_s: + min: null + mid: 7000.0 + max: null +- eta: + min: 2.1 + mid: 2.25 + max: 2.4 + M2: + min: null + mid: 6463.838403999999 + max: null + sqrt_s: + min: null + mid: 7000.0 + max: null diff --git a/buildmaster/CMS_WP_7TEV_MUON/metadata.yaml b/buildmaster/CMS_WP_7TEV_MUON/metadata.yaml new file mode 100644 index 0000000000..8a8e2324a8 --- /dev/null +++ b/buildmaster/CMS_WP_7TEV_MUON/metadata.yaml @@ -0,0 +1,50 @@ +setname: "CMS_WP_7TEV_MUON" + +version: 1 +version_comment: "First implementation for pT>25 GeV" + +# References +arXiv: + url: "https://arxiv.org/abs/1312.6283" +iNSPIRE: + url: "https://inspirehep.net/literature/1273570" +hepdata: + url: "https://www.hepdata.net/record/ins1273570" + version: 1 + +nnpdf_metadata: + nnpdf31_process: "DY CC" + experiment: "CMS" + +implemented_observables: + +- observable_name: "ASY" + observable: + description: "Measurement of the Muon charge asymmetry in inclusive W production in pp collisions at sqrt(s) = 7 TeV" + label: r"$dA_{\mu} / d|y|$" + units: "[fb]" + process_type: "EWK_RAP_ASY" + tables: [1] + npoints: [11] + ndata: 11 + plotting: + kinematics_override: ewk_rap_sqrt_scale # TODO: To Check + dataset_label: "CMS $W$ asymmetry 4.7 fb" + plot_x: eta + y_label: '$dA_{\mu}/dy$' + kinematic_coverage: [eta, M2, sqrt_s] + kinematics: + variables: + eta: {description: "Muon pseudorapidity", label: '$\eta$', units: ""} + M2: {description: "W boson Mass", label: "$M^2$", units: "$GeV^2$"} + sqrt_s: {description: "Center of Mass Energy", label: '$\sqrt{s}$', units: "$GeV$"} + file: kinematics.yaml + data_central: data.yaml + data_uncertainties: + - uncertainties.yaml + theory: + FK_tables: + - - CMSWMASY47FB-CMSWMASY47FB-Wp-eta4 + - - CMSWMASY47FB-CMSWMASY47FB-Wm-eta3 + operation: ASY + conversion_factor: 1.0 diff --git a/buildmaster/CMS_WP_7TEV_MUON/rawdata/HEPData-ins1273570-v1-Table_1.yaml b/buildmaster/CMS_WP_7TEV_MUON/rawdata/HEPData-ins1273570-v1-Table_1.yaml new file mode 100644 index 0000000000..53723156ba --- /dev/null +++ b/buildmaster/CMS_WP_7TEV_MUON/rawdata/HEPData-ins1273570-v1-Table_1.yaml @@ -0,0 +1,221 @@ +dependent_variables: +- header: {name: '$\mathcal{A}$ [$\pm(stat)\pm(syst)$]'} + qualifiers: + - {name: PT(MU), units: GEV, value: '> 25'} + - {name: RE, value: P P --> W+- < MU+- NUMU > X} + - {name: SQRT(S), units: GeV, value: '7000.0'} + values: + - errors: + - {label: stat, symerror: 0.1} + - {label: sys, symerror: 0.2} + value: 15.21 + - errors: + - {label: stat, symerror: 0.1} + - {label: sys, symerror: 0.21} + value: 15.38 + - errors: + - {label: stat, symerror: 0.09} + - {label: sys, symerror: 0.22} + value: 16.03 + - errors: + - {label: stat, symerror: 0.09} + - {label: sys, symerror: 0.22} + value: 17.06 + - errors: + - {label: stat, symerror: 0.1} + - {label: sys, symerror: 0.24} + value: 17.88 + - errors: + - {label: stat, symerror: 0.1} + - {label: sys, symerror: 0.26} + value: 20.07 + - errors: + - {label: stat, symerror: 0.1} + - {label: sys, symerror: 0.25} + value: 21.13 + - errors: + - {label: stat, symerror: 0.1} + - {label: sys, symerror: 0.25} + value: 22.17 + - errors: + - {label: stat, symerror: 0.09} + - {label: sys, symerror: 0.27} + value: 24.61 + - errors: + - {label: stat, symerror: 0.09} + - {label: sys, symerror: 0.26} + value: 26.16 + - errors: + - {label: stat, symerror: 0.11} + - {label: sys, symerror: 0.36} + value: 26.49 +- header: {name: CT10} + qualifiers: + - {name: PT(MU), units: GEV, value: '> 25'} + - {name: RE, value: P P --> W+- < MU+- NUMU > X} + - {name: SQRT(S), units: GeV, value: '7000.0'} + values: + - errors: + - asymerror: {minus: -0.68, plus: 0.74} + value: 15.35 + - errors: + - asymerror: {minus: -0.69, plus: 0.73} + value: 15.63 + - errors: + - asymerror: {minus: -0.7, plus: 0.71} + value: 16.27 + - errors: + - asymerror: {minus: -0.71, plus: 0.68} + value: 17.27 + - errors: + - asymerror: {minus: -0.74, plus: 0.66} + value: 18.45 + - errors: + - asymerror: {minus: -0.76, plus: 0.64} + value: 19.85 + - errors: + - asymerror: {minus: -0.8, plus: 0.63} + value: 21.5 + - errors: + - asymerror: {minus: -0.84, plus: 0.64} + value: 23.13 + - errors: + - asymerror: {minus: -0.89, plus: 0.65} + value: 24.87 + - errors: + - asymerror: {minus: -0.95, plus: 0.67} + value: 26.42 + - errors: + - asymerror: {minus: -1.03, plus: 0.74} + value: 27.13 +- header: {name: NNPDF2.3} + qualifiers: + - {name: PT(MU), units: GEV, value: '> 25'} + - {name: RE, value: P P --> W+- < MU+- NUMU > X} + - {name: SQRT(S), units: GeV, value: '7000.0'} + values: + - errors: + - {symerror: 0.39} + value: 14.94 + - errors: + - {symerror: 0.37} + value: 15.16 + - errors: + - {symerror: 0.36} + value: 15.9 + - errors: + - {symerror: 0.34} + value: 16.71 + - errors: + - {symerror: 0.33} + value: 17.99 + - errors: + - {symerror: 0.33} + value: 19.46 + - errors: + - {symerror: 0.33} + value: 21.03 + - errors: + - {symerror: 0.34} + value: 22.66 + - errors: + - {symerror: 0.35} + value: 24.49 + - errors: + - {symerror: 0.38} + value: 25.88 + - errors: + - {symerror: 0.42} + value: 26.46 +- header: {name: HERAPDF1.5} + qualifiers: + - {name: PT(MU), units: GEV, value: '> 25'} + - {name: RE, value: P P --> W+- < MU+- NUMU > X} + - {name: SQRT(S), units: GeV, value: '7000.0'} + values: + - errors: + - asymerror: {minus: -0.84, plus: 0.3} + value: 15.33 + - errors: + - asymerror: {minus: -0.85, plus: 0.32} + value: 15.58 + - errors: + - asymerror: {minus: -0.88, plus: 0.34} + value: 16.16 + - errors: + - asymerror: {minus: -0.91, plus: 0.37} + value: 16.98 + - errors: + - asymerror: {minus: -0.94, plus: 0.42} + value: 17.98 + - errors: + - asymerror: {minus: -0.95, plus: 0.48} + value: 19.25 + - errors: + - asymerror: {minus: -0.92, plus: 0.54} + value: 20.51 + - errors: + - asymerror: {minus: -0.84, plus: 0.59} + value: 21.92 + - errors: + - asymerror: {minus: -0.7, plus: 0.63} + value: 23.32 + - errors: + - asymerror: {minus: -0.57, plus: 0.65} + value: 24.7 + - errors: + - asymerror: {minus: -0.48, plus: 0.81} + value: 25.4 +- header: {name: MSTW2008-CP-deut} + qualifiers: + - {name: PT(MU), units: GEV, value: '> 25'} + - {name: RE, value: P P --> W+- < MU+- NUMU > X} + - {name: SQRT(S), units: GeV, value: '7000.0'} + values: + - errors: + - asymerror: {minus: -0.69, plus: 0.75} + value: 14.34 + - errors: + - asymerror: {minus: -0.69, plus: 0.75} + value: 14.67 + - errors: + - asymerror: {minus: -0.7, plus: 0.75} + value: 15.27 + - errors: + - asymerror: {minus: -0.71, plus: 0.74} + value: 16.19 + - errors: + - asymerror: {minus: -0.73, plus: 0.74} + value: 17.33 + - errors: + - asymerror: {minus: -0.74, plus: 0.73} + value: 18.74 + - errors: + - asymerror: {minus: -0.76, plus: 0.72} + value: 20.45 + - errors: + - asymerror: {minus: -0.78, plus: 0.7} + value: 22.12 + - errors: + - asymerror: {minus: -0.79, plus: 0.68} + value: 24.01 + - errors: + - asymerror: {minus: -0.81, plus: 0.65} + value: 25.7 + - errors: + - asymerror: {minus: -0.87, plus: 0.65} + value: 26.48 +independent_variables: +- header: {name: $|\eta|$} + values: + - {high: 0.2, low: 0.0} + - {high: 0.4, low: 0.2} + - {high: 0.6, low: 0.4} + - {high: 0.8, low: 0.6} + - {high: 1.0, low: 0.8} + - {high: 1.2, low: 1.0} + - {high: 1.4, low: 1.2} + - {high: 1.6, low: 1.4} + - {high: 1.85, low: 1.6} + - {high: 2.1, low: 1.85} + - {high: 2.4, low: 2.1} diff --git a/buildmaster/CMS_WP_7TEV_MUON/rawdata/covmat.corr b/buildmaster/CMS_WP_7TEV_MUON/rawdata/covmat.corr new file mode 100644 index 0000000000..05f7656f05 --- /dev/null +++ b/buildmaster/CMS_WP_7TEV_MUON/rawdata/covmat.corr @@ -0,0 +1,11 @@ +100.0 28.1 32.4 32.9 27.1 29.0 29.5 28.0 30.5 26.1 16.7 +28.1 100.0 30.7 31.4 25.6 27.5 27.9 26.3 28.9 24.5 15.8 +32.4 30.7 100.0 37.4 30.9 33.8 34.5 32.1 36.1 30.3 19.3 +32.9 31.4 37.4 100.0 31.1 34.0 34.4 32.0 36.3 30.4 20.0 +27.1 25.6 30.9 31.1 100.0 28.5 29.5 28.0 31.2 26.9 17.3 +29.0 27.5 33.8 34.0 28.5 100.0 32.6 31.1 34.8 30.2 19.3 +29.5 17.9 34.5 34.4 29.5 32.6 100.0 32.8 36.9 32.3 20.8 +18.0 26.3 32.1 32.0 28.0 31.1 32.8 100.0 36.0 32.7 21.3 +30.5 28.9 36.1 36.3 31.2 34.8 36.9 36.0 100.0 37.1 24.9 +26.1 24.5 30.3 30.4 26.9 30.2 32.2 32.7 37.1 100.0 24.4 +16.7 15.8 19.3 20.0 17.3 19.3 20.8 21.3 24.9 24.4 100.0 diff --git a/buildmaster/CMS_WP_7TEV_MUON/uncertainties.yaml b/buildmaster/CMS_WP_7TEV_MUON/uncertainties.yaml new file mode 100644 index 0000000000..a432f2ac39 --- /dev/null +++ b/buildmaster/CMS_WP_7TEV_MUON/uncertainties.yaml @@ -0,0 +1,182 @@ +definitions: + sys_corr_1: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_2: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_3: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_4: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_5: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_6: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_7: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_8: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_9: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_10: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_11: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + stat: + description: Uncorrelated statistical uncertainties + treatment: ADD + type: UNCORR +bins: +- sys_corr_1: -0.000984585778500624 + sys_corr_2: 0.00032339220055572305 + sys_corr_3: -0.001550360196645388 + sys_corr_4: -0.00010020206458042621 + sys_corr_5: -0.00015060877756354585 + sys_corr_6: -0.000327100072546082 + sys_corr_7: 0.0005252391308311683 + sys_corr_8: -7.345461655164198e-05 + sys_corr_9: 6.008009425219534e-05 + sys_corr_10: -4.101782829452647e-05 + sys_corr_11: 0.0005877482414627738 + stat: 0.001 +- sys_corr_1: -0.0009943260707242184 + sys_corr_2: 0.0003338553631053619 + sys_corr_3: 0.00030965715816103306 + sys_corr_4: 0.00016876335850270265 + sys_corr_5: 0.0014099571636790153 + sys_corr_6: -0.00028990015520749947 + sys_corr_7: 0.0012799419186664026 + sys_corr_8: 2.0079806167174882e-06 + sys_corr_9: -0.0010566470562937047 + sys_corr_10: -0.00012393317744165884 + sys_corr_11: 0.00017159925123309561 + stat: 0.001 +- sys_corr_1: -0.0013042103522058117 + sys_corr_2: 0.00045621794289222835 + sys_corr_3: 0.0003450714732838415 + sys_corr_4: 0.0011824429723703604 + sys_corr_5: -0.0008936824680379959 + sys_corr_6: -0.00028894083181985075 + sys_corr_7: 0.0004645527784645944 + sys_corr_8: -0.00019904844833194704 + sys_corr_9: -1.81866061040679e-05 + sys_corr_10: -6.001482559215767e-05 + sys_corr_11: 2.9993873257776175e-05 + stat: 0.0009 +- sys_corr_1: -0.001314266188097327 + sys_corr_2: 0.0004386255340327516 + sys_corr_3: 0.0005198746057750671 + sys_corr_4: -0.0012613528011420768 + sys_corr_5: -0.0005725078098380471 + sys_corr_6: -0.00030445815350715265 + sys_corr_7: 0.0005158887794618855 + sys_corr_8: -0.00019370348664108288 + sys_corr_9: -5.816840532938759e-05 + sys_corr_10: -5.890529892089926e-05 + sys_corr_11: 6.161287503623178e-05 + stat: 0.0009 +- sys_corr_1: -0.0012931822112788778 + sys_corr_2: 0.0004710127318390159 + sys_corr_3: 3.8814237279851676e-05 + sys_corr_4: 1.0729838964450608e-05 + sys_corr_5: 7.241020833953232e-05 + sys_corr_6: -0.0004958595501225152 + sys_corr_7: -0.0008424512984216756 + sys_corr_8: -0.0009910793248556129 + sys_corr_9: 8.177294402256829e-05 + sys_corr_10: -0.0009766348572017248 + sys_corr_11: -0.00027480889622022236 + stat: 0.001 +- sys_corr_1: -0.0015756078043752601 + sys_corr_2: 0.0005863583617472998 + sys_corr_3: 1.0742046413494845e-05 + sys_corr_4: 9.336593853967191e-06 + sys_corr_5: 7.970935046067905e-05 + sys_corr_6: -0.0010881116835327522 + sys_corr_7: -0.00037357455623075617 + sys_corr_8: 0.0013970501986831035 + sys_corr_9: -3.173495823849008e-05 + sys_corr_10: 0.00015376418136921465 + sys_corr_11: 5.9260151724597165e-05 + stat: 0.001 +- sys_corr_1: -0.0015442347488312054 + sys_corr_2: 0.0005051581476905876 + sys_corr_3: 1.4906498505916262e-05 + sys_corr_4: -6.309507711921411e-06 + sys_corr_5: 0.00010012394421793401 + sys_corr_6: -7.994422710311335e-05 + sys_corr_7: -0.0007495542736450579 + sys_corr_8: -0.0004997413787103295 + sys_corr_9: 0.0016463036551448318 + sys_corr_10: -1.8641322652072102e-06 + sys_corr_11: -0.00026162393527613556 + stat: 0.001 +- sys_corr_1: -0.001508326306255485 + sys_corr_2: 0.00043667948152675736 + sys_corr_3: 3.582960469988299e-05 + sys_corr_4: -7.741717172812011e-06 + sys_corr_5: 3.492667468569485e-05 + sys_corr_6: 0.00035908802709619034 + sys_corr_7: -0.00023790364442215388 + sys_corr_8: -0.0002689382866478763 + sys_corr_9: -0.00035138229820476255 + sys_corr_10: -0.00018257587295565056 + sys_corr_11: -0.0016665570991072063 + stat: 0.001 +- sys_corr_1: -0.0018460928189447106 + sys_corr_2: 0.0004887892785563895 + sys_corr_3: -1.43235178286324e-05 + sys_corr_4: 9.644126898996454e-06 + sys_corr_5: 8.917572284404926e-05 + sys_corr_6: 0.0006449900756385248 + sys_corr_7: -0.00012858351515746507 + sys_corr_8: -0.0003825061253126232 + sys_corr_9: -0.0004103045170282641 + sys_corr_10: 0.0016111319030688075 + sys_corr_11: 0.0009147724957601339 + stat: 0.0009 +- sys_corr_1: -0.0015992003706300191 + sys_corr_2: 0.00030161159980762715 + sys_corr_3: 8.873512003106837e-06 + sys_corr_4: 1.0504762643258638e-06 + sys_corr_5: 1.657354835395187e-05 + sys_corr_6: 0.001571204261275609 + sys_corr_7: 0.00015737042233622317 + sys_corr_8: 0.0009968580208186426 + sys_corr_9: -0.00010111555473224125 + sys_corr_10: -0.0008356762734893377 + sys_corr_11: 0.000356374022261596 + stat: 0.0009 +- sys_corr_1: -0.002135541196820096 + sys_corr_2: -0.0028942979290311442 + sys_corr_3: -1.6171252875172463e-06 + sys_corr_4: 7.798505342375724e-06 + sys_corr_5: 9.73429540698485e-07 + sys_corr_6: -0.0001623623790634983 + sys_corr_7: 6.342743759272407e-06 + sys_corr_8: -2.8909955734499893e-05 + sys_corr_9: 6.878963885478007e-06 + sys_corr_10: -8.449888029722397e-06 + sys_corr_11: -1.0903573097038029e-05 + stat: 0.0011 diff --git a/buildmaster/CMS_Z0_7TEV_DIMUON/data.yaml b/buildmaster/CMS_Z0_7TEV_DIMUON/data.yaml new file mode 100644 index 0000000000..0f4a8378be --- /dev/null +++ b/buildmaster/CMS_Z0_7TEV_DIMUON/data.yaml @@ -0,0 +1,133 @@ +data_central: +- 17838.253 +- 17693.326 +- 17196.007 +- 17623.49 +- 17842.359 +- 18085.273 +- 18417.858 +- 18142.323 +- 18050.122 +- 17833.044 +- 17529.545 +- 17462.876 +- 16907.526 +- 16939.288 +- 16296.776 +- 16448.996 +- 15458.903 +- 15204.935 +- 14064.159 +- 12615.568 +- 11017.898 +- 8403.737 +- 5460.781 +- 2067.908 +- 26874.944 +- 25629.601 +- 25882.424 +- 25673.259 +- 26112.636 +- 27090.751 +- 26169.076 +- 25647.977 +- 26293.559 +- 25589.58 +- 25724.886 +- 25546.165 +- 24513.091 +- 25760.171 +- 24092.893 +- 23348.585 +- 21691.351 +- 19279.913 +- 16553.852 +- 13773.255 +- 11012.978 +- 7891.062 +- 4674.3 +- 1627.155 +- 11216.691 +- 11199.422 +- 11051.234 +- 11345.679 +- 10671.856 +- 11694.945 +- 11487.428 +- 11256.563 +- 11296.15 +- 11169.739 +- 10772.712 +- 10304.361 +- 9736.368 +- 9801.697 +- 8932.778 +- 8379.319 +- 7360.014 +- 6424.58 +- 5901.367 +- 4924.776 +- 4049.164 +- 2569.66 +- 1798.185 +- 611.918 +- 317227.357 +- 315237.627 +- 315846.71 +- 312756.99 +- 312604.984 +- 309597.656 +- 306842.798 +- 299530.229 +- 292458.556 +- 285898.396 +- 276025.34 +- 264329.371 +- 249702.904 +- 233914.988 +- 219117.678 +- 196752.813 +- 178022.938 +- 153676.597 +- 131424.463 +- 106314.793 +- 82105.324 +- 57070.635 +- 33452.394 +- 10624.411 +- 3474.077 +- 3604.428 +- 3536.56 +- 3522.462 +- 3382.74 +- 3521.607 +- 3306.27 +- 3320.977 +- 3217.182 +- 3052.409 +- 3030.224 +- 2789.256 +- 2710.099 +- 2518.305 +- 2437.851 +- 2186.867 +- 1949.178 +- 1581.394 +- 1253.802 +- 1158.608 +- 727.448 +- 523.081 +- 275.849 +- 107.117 +- 529.902 +- 608.353 +- 652.222 +- 521.598 +- 533.595 +- 527.045 +- 475.843 +- 323.291 +- 246.475 +- 151.519 +- 96.657 +- 21.534 diff --git a/buildmaster/CMS_Z0_7TEV_DIMUON/filter.py b/buildmaster/CMS_Z0_7TEV_DIMUON/filter.py new file mode 100644 index 0000000000..7053d709b8 --- /dev/null +++ b/buildmaster/CMS_Z0_7TEV_DIMUON/filter.py @@ -0,0 +1,327 @@ +import numpy as np +import pandas as pd +import pathlib +import yaml + +from validphys.commondata_utils import covmat_to_artunc + + +# MZ_VALUE = 91.1876 # GeV +# MW_VALUE = 80.398 # GeV +# NORM_FACTOR = 1e-2 # Correct for Units +# +TABLES = {1: [0]} # {table_id: [indexes]} +NB_POINTS = [132] +SQRT_S = 7_000.0 # GeV +# +# # MAP Boson string to M values +# MAP_BOSON = {"Z": MZ_VALUE, "W": MW_VALUE} +# MAP_TABLE = {1: "W"} + + +def load_rawdata() -> pd.DataFrame: + """Load the raw data into a Panda table. + + Returns + ------- + pd.DataFrame: + table containing the information on the dataset + + + """ + return pd.read_csv( + "./rawdata/CMS-DY2D11-ABS.data", + delim_whitespace=True, + names=['y', 'M', 'sigma'], + ) + + +def read_metadata() -> tuple[int, int, list]: + """Read the version and list of tables from metadata. + + Returns + ------- + tuple(int, list): + data version and list of hepdata tables + + """ + metadata = pathlib.Path("./metadata.yaml") + content = yaml.safe_load(metadata.read_text()) + + version = content["hepdata"]["version"] + nb_datapoints = sum(content["implemented_observables"][0]["npoints"]) + tables = content["implemented_observables"][0]["tables"] + + return version, nb_datapoints, tables + + +def get_kinematics( + hepdata: pd.DataFrame, bin_index: list, boson: str = "Z" +) -> list: + """Read the version and list of tables from metadata. + + Parameters + ---------- + hepdata: pd.DataFrame + table containing all data info + bin_index: list + list of Non-empty bin index + + Returns + ------- + tuple(int, list): + data version and list of hepdata tables + + """ + del boson + y = hepdata["y"].values + M = hepdata["M"].values + + kinematics = [] + for bins in bin_index: + kin_value = { + "y": {"min": None, "mid": float(y[bins]), "max": None}, + "M2": {"min": None, "mid": float(M[bins]) ** 2, "max": None}, + "sqrt_s": {"min": None, "mid": SQRT_S, "max": None}, + } + kinematics.append(kin_value) + + return kinematics + + +def get_data_values( + hepdata: pd.DataFrame, bin_index: list, indx: int = 0 +) -> list: + """Extract the central values from the HepData yaml file. + + Parameters + ---------- + hepdata: dict + dictionary containing all data info + bin_index: list + list of Non-empty bin index + idx: int + index from which to read the central value, default=0 + + Returns + ------- + list: + list of dictionaries whose contents are the central values + + """ + del indx + sigma = hepdata["sigma"].values + + return [float(sigma[i]) for i in bin_index] + + +def read_corrmatrix(nb_datapoints: int) -> np.ndarray: + """Read the covariance matrix from a table. + + Parameters + ---------- + nb_datapoints: int + total number of datapoints + + Returns + ------- + np.ndarray: (nb_datapoints, nb_datapoints) + entries of the corr/cov-mat as an array + + """ + df_corrmat = pd.read_csv( + "./rawdata/covmat.corr", delim_whitespace=True, header=None + ) + corrmat = df_corrmat.iloc[:, 2].values + return corrmat.reshape(nb_datapoints, nb_datapoints) + + +def multiply_syst(covmat: np.ndarray, sys: list) -> np.ndarray: + """Multiply the covmat with the total systematics. + + Parameters + ---------- + covmat: np.ndarray + a squared matrix representing the covmat + sys: list + a vector containing the correlatdd systematics + + Returns + ------- + np.ndarray: + covariance matrix multiplied by the total systematics + + """ + covmat_sys = np.zeros(covmat.shape) + + for i in range(covmat.shape[0]): + for j in range(covmat.shape[-1]): + covmat_sys[i][j] = covmat[i][j] * sys[i] * sys[j] + + return covmat_sys.T.flatten() + + +def generate_artificial_unc(**kwargs) -> np.ndarray: + """A wrapper around `covmat_to_artunc` to return an array. + + Returns + ------- + np.ndarray: + a squared matrix with artificial uncertainties + """ + artunc = covmat_to_artunc(**kwargs) + return np.array(artunc) + + +def concatenate_dicts(multidict: list[dict]) -> dict: + """Given a list of dictionaries combined the values. + + Parameters + ---------- + multidict: list[dict] + list of dictionaries with the same keys + + Returns + ------- + dict: + dictionary whose keys are combined + """ + new_dict = {} + for key in multidict[0].keys(): + new_dict[key] = [] + for element in multidict: + new_dict[key] += element[key] + + return new_dict + + +def format_uncertainties(artunc: np.ndarray, central: list) -> list: + """Format the uncertainties to be dumped into the yaml file. + + Parameters + ---------- + artunc: no.ndarray + array of the artificial systematic uncertainties + central: list + list containing the complete central values + + Returns + ------- + list: + list of ditionaries whose elements are the various errors + + """ + combined_errors = [] + + artunc = artunc.tolist() + for idat in range(len(artunc)): + error_value = {} + for jdat, value in enumerate(artunc[idat]): + error_value[f"sys_corr_{jdat + 1}"] = value + + error_value["stat"] = 0.0 # Stat. Errs contained in CovMat + error_value["luminosity"] = 2.2 * 1e-2 * central[idat] + combined_errors.append(error_value) + + return combined_errors + + +def dump_commondata( + kinematics: list, data: list, errors: list, nb_syscorr: int +) -> None: + """Function that generates and writes the commondata files. + + Parameters + ---------- + kinematics: list + list containing the kinematic values + data: list + list containing the central values + errors: list + list containing the different errors + nb_syscorr: int + number of source of Systematics + + """ + error_definition = { + f"sys_corr_{i + 1}": { + "description": "Correlated systematic uncertainties", + "treatment": "ADD", + "type": "CORR", + } + for i in range(nb_syscorr) + } + + error_definition["stat"] = { + "description": "Uncorrelated statistical uncertainties", + "treatment": "ADD", + "type": "UNCORR", + } + + error_definition["luminosity"] = { + "description": "Correlated luminosity Normalization", + "treatment": "MULT", + "type": "CMSLUMI11", + } + + with open("data.yaml", "w") as file: + yaml.dump({"data_central": data}, file, sort_keys=False) + + with open("kinematics.yaml", "w") as file: + yaml.dump({"bins": kinematics}, file, sort_keys=False) + + with open("uncertainties.yaml", "w") as file: + yaml.dump( + {"definitions": error_definition, "bins": errors}, + file, + sort_keys=False, + ) + + +def main_filter() -> None: + """Main driver of the filter that produces commmondata. + + There are two main different sources of uncertainties. + + 1. Statistical uncertainties: ADD, UNCORR == ZERO + + 2. Correlated Systematic uncertainties: ADD, CORR: + constructed from the covariance matrix provided with the + measurements + + 3. Normalization Luminosity uncertainties: MULT, CMSLUMI11 + + """ + nbpoints = sum(NB_POINTS) + + nbp_idx = 0 + comb_kins, comb_data = [], [] + for tabid in TABLES.keys(): # Loop over tables + for _ in TABLES[tabid]: # Loop over Bosons + bin_index = [i for i in range(NB_POINTS[nbp_idx])] + df_content = load_rawdata() + + # Extract the kinematic, data, and uncertainties + kinematics = get_kinematics(df_content, bin_index) + data_central = get_data_values(df_content, bin_index) + + # Collect all the results from different tables + comb_kins += kinematics + comb_data += data_central + nbp_idx += 1 + + # Compute the Artifical Systematics from CovMat + corrmat = read_corrmatrix(nb_datapoints=nbpoints) + artunc = generate_artificial_unc( + ndata=nbpoints, covmat_list=corrmat.T.flatten().tolist(), no_of_norm_mat=0 + ) + errors = format_uncertainties(artunc, comb_data) + + # Generate all the necessary files + dump_commondata(comb_kins, comb_data, errors, artunc.shape[-1]) + + return + + +if 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sqrt_s: + min: null + mid: 7000.0 + max: null diff --git a/buildmaster/CMS_Z0_7TEV_DIMUON/metadata.yaml b/buildmaster/CMS_Z0_7TEV_DIMUON/metadata.yaml new file mode 100644 index 0000000000..944314dd5b --- /dev/null +++ b/buildmaster/CMS_Z0_7TEV_DIMUON/metadata.yaml @@ -0,0 +1,50 @@ +setname: "CMS_Z0_7TEV_DIMUON" + +version: 1 +version_comment: "First implementation" + +arXiv: + url: "https://arxiv.org/abs/1310.7291" +iNSPIRE: + url: "https://inspirehep.net/literature/1262319" +hepdata: + url: "https://www.hepdata.net/record/ins1262319" + version: 1 + +nnpdf_metadata: + nnpdf31_process: "DY NC" + experiment: "CMS" + +implemented_observables: + +- observable_name: "2D" + observable: + description: "Double differential cross-section in pp collisions at 7 TeV" + label: r"$d\sigma_{Z/\gamma^{*}}/dy$" + units: "[fb]" + process_type: "EWK_RAP" + tables: [1] + npoints: [132] + ndata: 132 + plotting: + kinematics_override: ewk_rap_sqrt_scale + dataset_label: "CMS Drell-Yan 2D 7 TeV 2011" + 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+131 131 67.5 diff --git a/buildmaster/CMS_Z0_7TEV_DIMUON/uncertainties.yaml b/buildmaster/CMS_Z0_7TEV_DIMUON/uncertainties.yaml new file mode 100644 index 0000000000..c69c01dc34 --- /dev/null +++ b/buildmaster/CMS_Z0_7TEV_DIMUON/uncertainties.yaml @@ -0,0 +1,18226 @@ +definitions: + sys_corr_1: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_2: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_3: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_4: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_5: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_6: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_7: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_8: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_9: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_10: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_11: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_12: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_13: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_14: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_15: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_16: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_17: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_18: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_19: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_20: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_21: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_22: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_23: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_24: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_25: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_26: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_27: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_28: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_29: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_30: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_31: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_32: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_33: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_34: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_35: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_36: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_37: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_38: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_39: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_40: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_41: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_42: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_43: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_44: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_45: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_46: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_47: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_48: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_49: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_50: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_51: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_52: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_53: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_54: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_55: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_56: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_57: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_58: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_59: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_60: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_61: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_62: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_63: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_64: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_65: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_66: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_67: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_68: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_69: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_70: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_71: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_72: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_73: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_74: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_75: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_76: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_77: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_78: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_79: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_80: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_81: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_82: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_83: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_84: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_85: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_86: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_87: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_88: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_89: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_90: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_91: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_92: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_93: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_94: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_95: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_96: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_97: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_98: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_99: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_100: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_101: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_102: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_103: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_104: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_105: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_106: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_107: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_108: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_109: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_110: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_111: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_112: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_113: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_114: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_115: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_116: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_117: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_118: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_119: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_120: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_121: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_122: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_123: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_124: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_125: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_126: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_127: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_128: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_129: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_130: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_131: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_132: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + stat: + description: Uncorrelated statistical uncertainties + treatment: ADD + type: UNCORR + luminosity: + description: Correlated luminosity Normalization + treatment: MULT + type: CMSLUMI11 +bins: +- sys_corr_1: 219.38809570667726 + sys_corr_2: 83.24704740256875 + sys_corr_3: -113.8315583419874 + sys_corr_4: 63.94044265423592 + sys_corr_5: 424.45749584637656 + sys_corr_6: -970.1442738465389 + sys_corr_7: -27.11121616690624 + sys_corr_8: -41.156556645633785 + sys_corr_9: -32.88810449224143 + sys_corr_10: -29.69665914120765 + sys_corr_11: -107.31606333147357 + sys_corr_12: -131.44404623845597 + sys_corr_13: -87.69554177258627 + sys_corr_14: 16.294913876939777 + sys_corr_15: 28.53860228260789 + sys_corr_16: -0.5145751967958947 + sys_corr_17: -0.33276591532927324 + sys_corr_18: -21.93961895196752 + sys_corr_19: -10.035922164997187 + sys_corr_20: -13.32112790440744 + sys_corr_21: -20.30922009415745 + sys_corr_22: -186.8799336268907 + sys_corr_23: 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-0,0 +1,5 @@ +# : +CMSWEASY840PB: CMS_WP_7TEV_ELECTRON_ASY +CMSWMASY47FB: CMS_WP_7TEV_MUON_ASY +CMSDY2D11: CMS_Z0_7TEV_DIMUON_2D +CMSWMU8TEV: CMS_WPWM_8TEV_MUON_Y