From dc31efde7f85b906063f9b30da816023e164ea28 Mon Sep 17 00:00:00 2001 From: Mark Nestor Costantini Date: Mon, 13 Mar 2023 12:24:14 +0000 Subject: [PATCH 01/40] added dataset folder for new dataset implementation --- buildmaster/ATLAS_2JET_7TEV_R06/data.yaml | 91 + buildmaster/ATLAS_2JET_7TEV_R06/filter.py | 102 + buildmaster/ATLAS_2JET_7TEV_R06/filter_ini.py | 69 + .../ATLAS_2JET_7TEV_R06/kinematics.yaml | 1081 ++++ buildmaster/ATLAS_2JET_7TEV_R06/metadata.yaml | 70 + .../HEPData-ins1268975-v1-Table_10.yaml | 4228 +++++++++++++ .../HEPData-ins1268975-v1-Table_11.yaml | 2217 +++++++ .../HEPData-ins1268975-v1-Table_12.yaml | 1129 ++++ .../HEPData-ins1268975-v1-Table_7.yaml | 5050 ++++++++++++++++ .../HEPData-ins1268975-v1-Table_8.yaml | 5212 +++++++++++++++++ .../HEPData-ins1268975-v1-Table_9.yaml | 4680 +++++++++++++++ 11 files changed, 23929 insertions(+) create mode 100644 buildmaster/ATLAS_2JET_7TEV_R06/data.yaml create mode 100644 buildmaster/ATLAS_2JET_7TEV_R06/filter.py create mode 100644 buildmaster/ATLAS_2JET_7TEV_R06/filter_ini.py create mode 100644 buildmaster/ATLAS_2JET_7TEV_R06/kinematics.yaml create mode 100644 buildmaster/ATLAS_2JET_7TEV_R06/metadata.yaml create mode 100644 buildmaster/ATLAS_2JET_7TEV_R06/rawdata/HEPData-ins1268975-v1-Table_10.yaml create mode 100644 buildmaster/ATLAS_2JET_7TEV_R06/rawdata/HEPData-ins1268975-v1-Table_11.yaml create mode 100644 buildmaster/ATLAS_2JET_7TEV_R06/rawdata/HEPData-ins1268975-v1-Table_12.yaml create mode 100644 buildmaster/ATLAS_2JET_7TEV_R06/rawdata/HEPData-ins1268975-v1-Table_7.yaml create mode 100644 buildmaster/ATLAS_2JET_7TEV_R06/rawdata/HEPData-ins1268975-v1-Table_8.yaml create mode 100644 buildmaster/ATLAS_2JET_7TEV_R06/rawdata/HEPData-ins1268975-v1-Table_9.yaml diff --git a/buildmaster/ATLAS_2JET_7TEV_R06/data.yaml b/buildmaster/ATLAS_2JET_7TEV_R06/data.yaml new file mode 100644 index 0000000000..0c97096fed --- /dev/null +++ b/buildmaster/ATLAS_2JET_7TEV_R06/data.yaml @@ -0,0 +1,91 @@ +data_central: +- 1070000.0 +- 406000.0 +- 152000.0 +- 60600.0 +- 25700.0 +- 11300.0 +- 5210.0 +- 2510.0 +- 1240.0 +- 599.0 +- 290.0 +- 140.0 +- 65.6 +- 31.9 +- 14.9 +- 7.05 +- 3.23 +- 1.44 +- 0.681 +- 0.279 +- 0.0252 +- 961000.0 +- 368000.0 +- 146000.0 +- 60300.0 +- 27300.0 +- 12400.0 +- 5960.0 +- 2940.0 +- 1410.0 +- 683.0 +- 336.0 +- 159.0 +- 76.4 +- 36.4 +- 16.7 +- 7.57 +- 3.36 +- 1.29 +- 0.544 +- 0.18 +- 0.0211 +- 180000.0 +- 80700.0 +- 37400.0 +- 17500.0 +- 8840.0 +- 4210.0 +- 2080.0 +- 964.0 +- 466.0 +- 226.0 +- 107.0 +- 49.1 +- 22.1 +- 9.86 +- 4.3 +- 1.73 +- 0.616 +- 0.188 +- 0.0261 +- 49600.0 +- 25500.0 +- 12200.0 +- 6140.0 +- 2820.0 +- 1440.0 +- 687.0 +- 341.0 +- 150.0 +- 63.3 +- 30.4 +- 12.1 +- 4.9 +- 1.82 +- 0.706 +- 0.244 +- 0.0215 +- 3390.0 +- 1780.0 +- 832.0 +- 293.0 +- 57.5 +- 9.59 +- 1.34 +- 0.045 +- 109.0 +- 9.75 +- 2.42 +- 0.021 diff --git a/buildmaster/ATLAS_2JET_7TEV_R06/filter.py b/buildmaster/ATLAS_2JET_7TEV_R06/filter.py new file mode 100644 index 0000000000..16bb50373f --- /dev/null +++ b/buildmaster/ATLAS_2JET_7TEV_R06/filter.py @@ -0,0 +1,102 @@ +# Filter for ATLAS_2JET_7TEV_R06 +""" +Created on Mar 2023 + +@author: Mark N. Costantini +""" + +import yaml + +def range_str_to_floats(str_range): + """ + converts a string range to a list, + e.g. "0.5 - 1.0" --> [0.5,1.0] + """ + # Split the range string into two parts + str_nums = str_range.split('-') + # Convert the parts to floats + min = float(str_nums[0]) + max = float(str_nums[1]) + mid = float(f"{0.5 * (min + max):.3f}") + # Return a dict + return {"min": min, "mid": mid, "max": max} + +from_TeV_to_GeV = lambda x: 1e3 * x + + +def filter_ATLAS_2JET_7TEV_R06(): + + + with open('metadata.yaml', 'r') as file: + metadata = yaml.safe_load(file) + + version = metadata['hepdata']['version'] + tables = metadata['hepdata']['tables'] + + data_central = [] + kin = [] + + for table in tables: + hepdata_tables = f"rawdata/HEPData-ins1268975-v{version}-Table_{table}.yaml" + + with open(hepdata_tables, 'r') as file: + input = yaml.safe_load(file) + + + ystar = range_str_to_floats(input['dependent_variables'][0]['qualifiers'][8]['value']) + sqrts = float(input['dependent_variables'][0]['qualifiers'][7]['value']) + + # measurements of several dijet mass values + values = input['dependent_variables'][0]['values'] + + # loop over different diijet mass bins + for i,value in enumerate(values): + + data_central_value = value['value'] + data_central.append(data_central_value) + + m12 = input['independent_variables'][0]['values'][i] + m12['low'], m12['high'] = 1e3 * m12['low'], 1e3 * m12['high'] + m12['mid'] = float(f"{0.5 * (m12['low']+m12['high']):.3f}") + + kin_value = {'ystar' : {'min': ystar['min'], 'mid': ystar['mid'] , 'max': ystar['max']}, + 'm12' : {'min': m12['low'], 'mid': m12['mid'] , 'max': m12['high']} , + 'sqrt_s' : {'min': None, 'mid': sqrts , 'max': None}} + + kin.append(kin_value) + + # error_value = {'stat_1': input['dependent_variables'][0]['values'][j]['errors'][0]['symerror'], 'syst_1': input['dependent_variables'][0]['values'][j]['errors'][1]['symerror']} + # error.append(error_value) + + # error_value_nuc = {'nuclear': input['dependent_variables'][0]['values'][j]['errors'][0]['symerror']} + # error_nuc.append(error_value_nuc) + + # error_definition = {'stat_1': {'description': "total statistical uncertainty", 'treatment': "ADD", 'type': "UNCORR"}, + # 'syst_1': {'description': "total systematic uncertainty", 'treatment': "ADD", 'type': "CORR"}} + + # error_definition_dw = {'nuclear': {'description': "nuclear uncertainty (deweighted)", 'treatment': "ADD", 'type': "NUC_DW"}} + # error_definition_sh = {'nuclear': {'description': "nuclear uncertainty (shifted)", 'treatment': "ADD", 'type': "NUC_SH"}} + + data_central_yaml = { 'data_central' : data_central } + kinematics_yaml = { 'bins' : kin } + # uncertainties_yaml = { 'definition': error_definition, 'bins' : error } + # uncertainties_dw_yaml = { 'definition': error_definition_dw, 'bins' : error_nuc } + # uncertainties_sh_yaml = { 'definition': error_definition_sh, 'bins' : error_nuc } + + 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) + + # with open('uncertainties_dw.yaml', 'w') as file: + # yaml.dump(uncertainties_dw_yaml, file, sort_keys=False) + + # with open('uncertainties_sh.yaml', 'w') as file: + # yaml.dump(uncertainties_sh_yaml, file, sort_keys=False) + +if __name__ == "__main__": + filter_ATLAS_2JET_7TEV_R06() \ No newline at end of file diff --git a/buildmaster/ATLAS_2JET_7TEV_R06/filter_ini.py b/buildmaster/ATLAS_2JET_7TEV_R06/filter_ini.py new file mode 100644 index 0000000000..94749e8e21 --- /dev/null +++ b/buildmaster/ATLAS_2JET_7TEV_R06/filter_ini.py @@ -0,0 +1,69 @@ +#Filter for NMCPD + +import sys +import yaml + +def filter_ATLAS_2JET_7TEV_R06(): + with open('metadata.yaml', 'r') as file: + metadata = yaml.safe_load(file) + + version = metadata['hepdata']['version'] + tables = metadata['hepdata']['tables'] + + data_central = [] + kin = [] + error = [] + error_nuc = [] + + for i in tables: + hepdata_tables="rawdata/HEPData-ins426595-v"+str(version)+"-Table_"+str(i)+".yaml" + with open(hepdata_tables, 'r') as file: + input = yaml.safe_load(file) + + values = input['dependent_variables'][0]['values'] + x = float(input['dependent_variables'][0]['qualifiers'][4]['value']) + sqrts = float(input['dependent_variables'][0]['qualifiers'][3]['value']) + + for j in range(len(values)): + + data_central_value = input['dependent_variables'][0]['values'][j]['value'] + data_central.append(data_central_value) + Q2 = input['independent_variables'][0]['values'][j]['value'] + y = Q2 / ( sqrts * sqrts * x ) + kin_value = {'x' : {'min': None, 'mid': x , 'max': None}, 'q2' : {'min': None, 'mid': Q2 , 'max': None} , 'y' : {'min': None, 'mid': y , 'max': None}} + kin.append(kin_value) + + error_value = {'stat_1': input['dependent_variables'][0]['values'][j]['errors'][0]['symerror'], 'syst_1': input['dependent_variables'][0]['values'][j]['errors'][1]['symerror']} + error.append(error_value) + + error_value_nuc = {'nuclear': input['dependent_variables'][0]['values'][j]['errors'][0]['symerror']} + error_nuc.append(error_value_nuc) + + error_definition = {'stat_1': {'description': "total statistical uncertainty", 'treatment': "ADD", 'type': "UNCORR"}, + 'syst_1': {'description': "total systematic uncertainty", 'treatment': "ADD", 'type': "CORR"}} + + error_definition_dw = {'nuclear': {'description': "nuclear uncertainty (deweighted)", 'treatment': "ADD", 'type': "NUC_DW"}} + error_definition_sh = {'nuclear': {'description': "nuclear uncertainty (shifted)", 'treatment': "ADD", 'type': "NUC_SH"}} + + data_central_yaml = { 'data_central' : data_central } + kinematics_yaml = { 'bins' : kin } + uncertainties_yaml = { 'definition': error_definition, 'bins' : error } + uncertainties_dw_yaml = { 'definition': error_definition_dw, 'bins' : error_nuc } + uncertainties_sh_yaml = { 'definition': error_definition_sh, 'bins' : error_nuc } + + 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) + + with open('uncertainties_dw.yaml', 'w') as file: + yaml.dump(uncertainties_dw_yaml, file, sort_keys=False) + + with open('uncertainties_sh.yaml', 'w') as file: + yaml.dump(uncertainties_sh_yaml, file, sort_keys=False) + +filter_ATLAS_2JET_7TEV_R06() \ No newline at end of file diff --git a/buildmaster/ATLAS_2JET_7TEV_R06/kinematics.yaml b/buildmaster/ATLAS_2JET_7TEV_R06/kinematics.yaml new file mode 100644 index 0000000000..122a311056 --- /dev/null +++ b/buildmaster/ATLAS_2JET_7TEV_R06/kinematics.yaml @@ -0,0 +1,1081 @@ +bins: +- ystar: + min: 0.0 + mid: 0.25 + max: 0.5 + m12: + min: 260.0 + mid: 285.0 + max: 310.0 + sqrt_s: + min: null + mid: 7000.0 + max: null +- ystar: + min: 0.0 + mid: 0.25 + max: 0.5 + m12: + min: 310.0 + mid: 340.0 + max: 370.0 + sqrt_s: + min: null + mid: 7000.0 + max: null +- ystar: + min: 0.0 + mid: 0.25 + max: 0.5 + m12: + min: 370.0 + mid: 405.0 + max: 440.0 + sqrt_s: + min: null + mid: 7000.0 + max: null +- ystar: + min: 0.0 + mid: 0.25 + max: 0.5 + m12: + min: 440.0 + mid: 475.0 + max: 510.0 + sqrt_s: + min: null + mid: 7000.0 + max: null +- ystar: + min: 0.0 + mid: 0.25 + max: 0.5 + m12: + min: 510.0 + mid: 550.0 + max: 590.0 + sqrt_s: + min: null + mid: 7000.0 + max: null +- ystar: + min: 0.0 + mid: 0.25 + max: 0.5 + m12: + min: 590.0 + mid: 630.0 + max: 670.0 + sqrt_s: + min: null + mid: 7000.0 + max: null +- ystar: + min: 0.0 + mid: 0.25 + max: 0.5 + m12: + min: 670.0 + mid: 715.0 + max: 760.0 + sqrt_s: + min: null + mid: 7000.0 + max: null +- ystar: + min: 0.0 + mid: 0.25 + max: 0.5 + m12: + min: 760.0 + mid: 805.0 + max: 850.0 + sqrt_s: + min: null + mid: 7000.0 + max: null +- ystar: + min: 0.0 + mid: 0.25 + max: 0.5 + m12: + min: 850.0 + mid: 900.0 + max: 950.0 + sqrt_s: + min: null + mid: 7000.0 + max: null +- ystar: + min: 0.0 + mid: 0.25 + max: 0.5 + m12: + min: 950.0 + mid: 1005.0 + max: 1060.0 + sqrt_s: + min: null + mid: 7000.0 + max: null +- ystar: + min: 0.0 + mid: 0.25 + max: 0.5 + m12: + min: 1060.0 + mid: 1120.0 + max: 1180.0 + sqrt_s: + min: null + mid: 7000.0 + max: null +- ystar: + min: 0.0 + mid: 0.25 + max: 0.5 + m12: + min: 1180.0 + mid: 1245.0 + max: 1310.0 + sqrt_s: + min: null + mid: 7000.0 + max: null +- ystar: + min: 0.0 + mid: 0.25 + max: 0.5 + m12: + min: 1310.0 + mid: 1380.0 + max: 1450.0 + sqrt_s: + min: null + mid: 7000.0 + max: null +- ystar: + min: 0.0 + mid: 0.25 + max: 0.5 + m12: + min: 1450.0 + mid: 1525.0 + max: 1600.0 + sqrt_s: + min: null + mid: 7000.0 + max: null +- ystar: + min: 0.0 + mid: 0.25 + max: 0.5 + m12: + min: 1600.0 + mid: 1680.0 + max: 1760.0 + sqrt_s: + min: null + mid: 7000.0 + max: null +- ystar: + min: 0.0 + mid: 0.25 + max: 0.5 + m12: + min: 1760.0 + mid: 1850.0 + max: 1940.0 + sqrt_s: + min: null + mid: 7000.0 + max: null +- ystar: + min: 0.0 + mid: 0.25 + max: 0.5 + m12: + min: 1940.0 + mid: 2030.0 + max: 2120.0 + sqrt_s: + min: null + mid: 7000.0 + max: null +- ystar: + min: 0.0 + mid: 0.25 + max: 0.5 + m12: + min: 2120.0 + mid: 2225.0 + max: 2330.0 + sqrt_s: + min: null + mid: 7000.0 + max: null +- ystar: + min: 0.0 + mid: 0.25 + max: 0.5 + m12: + min: 2330.0 + mid: 2440.0 + max: 2550.0 + sqrt_s: + min: null + mid: 7000.0 + max: null +- ystar: + min: 0.0 + mid: 0.25 + max: 0.5 + m12: + min: 2550.0 + mid: 2665.0 + max: 2780.0 + sqrt_s: + min: null + mid: 7000.0 + max: null +- ystar: + min: 0.0 + mid: 0.25 + max: 0.5 + m12: + min: 2780.0 + mid: 3525.0 + max: 4270.0 + sqrt_s: + min: null + mid: 7000.0 + max: null +- ystar: + min: 0.5 + mid: 0.75 + max: 1.0 + m12: + min: 310.0 + mid: 340.0 + max: 370.0 + sqrt_s: + min: null + mid: 7000.0 + max: null +- ystar: + min: 0.5 + mid: 0.75 + max: 1.0 + m12: + min: 370.0 + mid: 405.0 + max: 440.0 + sqrt_s: + min: null + mid: 7000.0 + max: null +- ystar: + min: 0.5 + mid: 0.75 + max: 1.0 + m12: + min: 440.0 + mid: 475.0 + max: 510.0 + sqrt_s: + min: null + mid: 7000.0 + max: null +- ystar: + min: 0.5 + mid: 0.75 + max: 1.0 + m12: + min: 510.0 + mid: 550.0 + max: 590.0 + sqrt_s: + min: null + mid: 7000.0 + max: null +- ystar: + min: 0.5 + mid: 0.75 + max: 1.0 + m12: + min: 590.0 + mid: 630.0 + max: 670.0 + sqrt_s: + min: null + mid: 7000.0 + max: null +- ystar: + min: 0.5 + mid: 0.75 + max: 1.0 + m12: + min: 670.0 + mid: 715.0 + max: 760.0 + sqrt_s: + min: null + mid: 7000.0 + max: null +- ystar: + min: 0.5 + mid: 0.75 + max: 1.0 + m12: + min: 760.0 + mid: 805.0 + max: 850.0 + sqrt_s: + min: null + mid: 7000.0 + max: null +- ystar: + min: 0.5 + mid: 0.75 + max: 1.0 + m12: + min: 850.0 + mid: 900.0 + max: 950.0 + sqrt_s: + min: null + mid: 7000.0 + max: null +- ystar: + min: 0.5 + mid: 0.75 + max: 1.0 + m12: + min: 950.0 + mid: 1005.0 + max: 1060.0 + sqrt_s: + min: null + mid: 7000.0 + max: null +- ystar: + min: 0.5 + mid: 0.75 + max: 1.0 + m12: + min: 1060.0 + mid: 1120.0 + max: 1180.0 + sqrt_s: + min: null + mid: 7000.0 + max: null +- ystar: + min: 0.5 + mid: 0.75 + max: 1.0 + m12: + min: 1180.0 + mid: 1245.0 + max: 1310.0 + sqrt_s: + min: null + mid: 7000.0 + max: null +- ystar: + min: 0.5 + mid: 0.75 + max: 1.0 + m12: + min: 1310.0 + mid: 1380.0 + max: 1450.0 + sqrt_s: + min: null + mid: 7000.0 + max: null +- ystar: + min: 0.5 + mid: 0.75 + max: 1.0 + m12: + min: 1450.0 + mid: 1525.0 + max: 1600.0 + sqrt_s: + min: null + mid: 7000.0 + max: null +- ystar: + min: 0.5 + mid: 0.75 + max: 1.0 + m12: + min: 1600.0 + mid: 1680.0 + max: 1760.0 + sqrt_s: + min: null + mid: 7000.0 + max: null +- ystar: + min: 0.5 + mid: 0.75 + max: 1.0 + m12: + min: 1760.0 + mid: 1850.0 + max: 1940.0 + sqrt_s: + min: null + mid: 7000.0 + max: null +- ystar: + min: 0.5 + mid: 0.75 + max: 1.0 + m12: + min: 1940.0 + mid: 2030.0 + max: 2120.0 + sqrt_s: + min: null + mid: 7000.0 + max: null +- ystar: + min: 0.5 + mid: 0.75 + max: 1.0 + m12: + min: 2120.0 + mid: 2225.0 + max: 2330.0 + sqrt_s: + min: null + mid: 7000.0 + max: null +- ystar: + min: 0.5 + mid: 0.75 + max: 1.0 + m12: + min: 2330.0 + mid: 2440.0 + max: 2550.0 + sqrt_s: + min: null + mid: 7000.0 + max: null +- ystar: + min: 0.5 + mid: 0.75 + max: 1.0 + m12: + min: 2550.0 + mid: 2665.0 + max: 2780.0 + sqrt_s: + min: null + mid: 7000.0 + max: null +- ystar: + min: 0.5 + mid: 0.75 + max: 1.0 + m12: + min: 2780.0 + mid: 2910.0 + max: 3040.0 + sqrt_s: + min: null + mid: 7000.0 + max: null +- ystar: + min: 0.5 + mid: 0.75 + max: 1.0 + m12: + min: 3040.0 + mid: 3655.0 + max: 4270.0 + sqrt_s: + min: null + mid: 7000.0 + max: null +- ystar: + min: 1.0 + mid: 1.25 + max: 1.5 + m12: + min: 510.0 + mid: 550.0 + max: 590.0 + sqrt_s: + min: null + mid: 7000.0 + max: null +- ystar: + min: 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+ sqrt_s: + min: null + mid: 7000.0 + max: null +- ystar: + min: 1.5 + mid: 1.75 + max: 2.0 + m12: + min: 2330.0 + mid: 2440.0 + max: 2550.0 + sqrt_s: + min: null + mid: 7000.0 + max: null +- ystar: + min: 1.5 + mid: 1.75 + max: 2.0 + m12: + min: 2550.0 + mid: 2665.0 + max: 2780.0 + sqrt_s: + min: null + mid: 7000.0 + max: null +- ystar: + min: 1.5 + mid: 1.75 + max: 2.0 + m12: + min: 2780.0 + mid: 2910.0 + max: 3040.0 + sqrt_s: + min: null + mid: 7000.0 + max: null +- ystar: + min: 1.5 + mid: 1.75 + max: 2.0 + m12: + min: 3040.0 + mid: 3175.0 + max: 3310.0 + sqrt_s: + min: null + mid: 7000.0 + max: null +- ystar: + min: 1.5 + mid: 1.75 + max: 2.0 + m12: + min: 3310.0 + mid: 3460.0 + max: 3610.0 + sqrt_s: + min: null + mid: 7000.0 + max: null +- ystar: + min: 1.5 + mid: 1.75 + max: 2.0 + m12: + min: 3610.0 + mid: 4125.0 + max: 4640.0 + sqrt_s: + min: null + mid: 7000.0 + max: null +- ystar: + min: 2.0 + mid: 2.25 + max: 2.5 + m12: + min: 1310.0 + mid: 1380.0 + max: 1450.0 + sqrt_s: + min: null + mid: 7000.0 + max: null +- ystar: + min: 2.0 + mid: 2.25 + max: 2.5 + m12: + min: 1450.0 + mid: 1525.0 + max: 1600.0 + sqrt_s: + min: null + mid: 7000.0 + max: null +- ystar: + min: 2.0 + mid: 2.25 + max: 2.5 + m12: + min: 1600.0 + mid: 1680.0 + max: 1760.0 + sqrt_s: + min: null + mid: 7000.0 + max: null +- ystar: + min: 2.0 + mid: 2.25 + max: 2.5 + m12: + min: 1760.0 + mid: 1940.0 + max: 2120.0 + sqrt_s: + min: null + mid: 7000.0 + max: null +- ystar: + min: 2.0 + mid: 2.25 + max: 2.5 + m12: + min: 2120.0 + mid: 2335.0 + max: 2550.0 + sqrt_s: + min: null + mid: 7000.0 + max: null +- ystar: + min: 2.0 + mid: 2.25 + max: 2.5 + m12: + min: 2550.0 + mid: 2795.0 + max: 3040.0 + sqrt_s: + min: null + mid: 7000.0 + max: null +- ystar: + min: 2.0 + mid: 2.25 + max: 2.5 + m12: + min: 3040.0 + mid: 3325.0 + max: 3610.0 + sqrt_s: + min: null + mid: 7000.0 + max: null +- ystar: + min: 2.0 + mid: 2.25 + max: 2.5 + m12: + min: 3610.0 + mid: 4325.0 + max: 5040.0 + sqrt_s: + min: null + mid: 7000.0 + max: null +- ystar: + min: 2.5 + mid: 2.75 + max: 3.0 + m12: + min: 2120.0 + mid: 2335.0 + max: 2550.0 + sqrt_s: + min: null + mid: 7000.0 + max: null +- ystar: + min: 2.5 + mid: 2.75 + max: 3.0 + m12: + min: 2550.0 + mid: 2795.0 + max: 3040.0 + sqrt_s: + min: null + mid: 7000.0 + max: null +- ystar: + min: 2.5 + mid: 2.75 + max: 3.0 + m12: + min: 3040.0 + mid: 3485.0 + max: 3930.0 + sqrt_s: + min: null + mid: 7000.0 + max: null +- ystar: + min: 2.5 + mid: 2.75 + max: 3.0 + m12: + min: 3930.0 + mid: 4485.0 + max: 5040.0 + sqrt_s: + min: null + mid: 7000.0 + max: null diff --git a/buildmaster/ATLAS_2JET_7TEV_R06/metadata.yaml b/buildmaster/ATLAS_2JET_7TEV_R06/metadata.yaml new file mode 100644 index 0000000000..443c252ad2 --- /dev/null +++ b/buildmaster/ATLAS_2JET_7TEV_R06/metadata.yaml @@ -0,0 +1,70 @@ +# Created on Mar 2023, author: Mark N. Costantini + +# Generalia +setname: "ATLAS_2JET_7TEV_R06" +ndata: 90 +observable: + description: "Double-differential dijet cross-sections as functions of dijet mass and half the rapidity separation of the two highest-pT jets." + label: r"$10^{3*qbin} d^2\sigma/dm_{12}dy*$" + units: "[pb/GeV]" + +kinematics: + variables: + ystar: {description: "half the rapidity separation", label: "$y*$", units: ""} + m12: {description: "dijet mass", label: "$m_{12}$", units: ""} + sqrt_s: {description: "center of mass energy", label: r"$\sqrt(s)$", units: "GeV"} + file: kinematics.yaml + +version: 0 +version_comment: "Initial implementation" + +# References +arXiv: + url: "https://arxiv.org/pdf/1312.3524.pdf" +iNSPIRE: + url: "https://inspirehep.net/literature/1268975" +hepdata: + url: "https://www.hepdata.net/record/ins1268975" + version: 1 + tables: [7,8,9,10,11,12] + + +# Data +# three scenarios for the correlations between jet energy scale uncertainty +# components are given, denoted as nominal, stronger and weaker +data_central: data.yaml +data_uncertainties: + nominal: + - uncertainties.yaml + +# Data (variants) +variants: + stronger: + data_uncertainties: + - uncertainties.yaml + - uncertainties_stronger.yaml + weaker: + data_uncertainties: + - uncertainties.yaml + - uncertainties_weaker.yaml + +# Plotting +kinematic_coverage: + x: x + q2: q2 +dataset_label: "NMC $d/p$" +plot_x: x +figure_by: + - q2 + +# Theory +theory: + FK_tables: + - - NMCPD_D1 + - NMCPD_D2 + - - NMCPD_P + compound: "RATIO" + +nnpdf_metadata: + nnpdf31_process: "DIJET" + experiment: "ATLAS" \ No newline at end of file diff --git a/buildmaster/ATLAS_2JET_7TEV_R06/rawdata/HEPData-ins1268975-v1-Table_10.yaml b/buildmaster/ATLAS_2JET_7TEV_R06/rawdata/HEPData-ins1268975-v1-Table_10.yaml new file mode 100644 index 0000000000..ecd56319ce --- /dev/null +++ b/buildmaster/ATLAS_2JET_7TEV_R06/rawdata/HEPData-ins1268975-v1-Table_10.yaml @@ -0,0 +1,4228 @@ +dependent_variables: +- header: {name: D2(SIG)/DM(2JET)/DYRAP*, units: PB*TEV*-1} + qualifiers: + - {name: ABS(YRAP(JET1)), value: < 3.0} + - {name: ABS(YRAP(JET2)), value: < 3.0} + - {name: Correlation assumptions, value: Nominal} + - {name: PT(JET1), units: GEV, value: '> 100'} + - {name: PT(JET2), units: GEV, value: '> 50'} + - {name: R, value: '0.6'} + - {name: RE, value: P P --> JET JET X} + - {name: SQRT(S), units: GeV, value: '7000.0'} + - {name: YRAP*, value: 1.5-2.0} + values: + - errors: + - {label: stat, symerror: 2.0%} + - asymerror: {minus: -3.5%, plus: 3.6%} + label: sys + - {label: sys, symerror: 0.8%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.4%} + - {label: sys, symerror: 1.7%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.6%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.5%} + - asymerror: {minus: -0.4%, plus: 0.3%} + label: sys + - {label: sys, symerror: 1.0%} + - {label: sys, symerror: 0.7%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.2%} + - {label: sys, symerror: 0.3%} + - {label: sys, symerror: 0.4%} + - asymerror: {minus: -0.4%, plus: 0.3%} + label: sys + - {label: sys, symerror: 0.2%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.6%, plus: 0.7%} + label: sys + - asymerror: {minus: -10.0%, plus: 11.0%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: 0.3%, plus: -0.4%} + label: sys + - asymerror: {minus: 1.3%, plus: -1.4%} + label: sys + - asymerror: {minus: -2.6%, plus: 2.9%} + label: sys + - asymerror: {minus: -0.4%, plus: 0.3%} + label: sys + - asymerror: {minus: -4.8%, plus: 5.1%} + label: sys + - {label: sys, symerror: 3.8%} + - {label: sys, symerror: 0.4%} + - {label: sys, symerror: 0.2%} + - {label: sys, symerror: 1.8%} + - {label: sys, symerror: 0.5%} + value: 49600.0 + - errors: + - {label: stat, symerror: 2.3%} + - asymerror: {minus: -3.7%, plus: 3.8%} + label: sys + - {label: sys, symerror: 0.8%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.4%} + - {label: sys, symerror: 1.6%} + - asymerror: {minus: 0.0%, plus: 0.1%} + label: sys + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.6%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.5%} + - asymerror: {minus: -0.4%, plus: 0.3%} + label: sys + - {label: sys, symerror: 1.1%} + - {label: sys, symerror: 0.7%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - {label: sys, symerror: 0.0%} + - asymerror: {minus: 0.0%, plus: 0.1%} + label: sys + - asymerror: {minus: 0.0%, plus: 0.1%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: 0.0%, plus: 0.1%} + label: sys + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.1%} + - asymerror: {minus: -0.2%, plus: 0.1%} + label: sys + - asymerror: {minus: -0.3%, plus: 0.2%} + label: sys + - {label: sys, symerror: 0.4%} + - {label: sys, symerror: 0.4%} + - {label: sys, symerror: 0.3%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.6%, plus: 0.7%} + label: sys + - asymerror: {minus: -10.0%, plus: 11.0%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: 0.4%, plus: -0.4%} + label: sys + - asymerror: {minus: 1.4%, plus: -1.4%} + label: sys + - asymerror: {minus: -2.5%, plus: 2.6%} + label: sys + - {label: sys, symerror: 0.4%} + - asymerror: {minus: -4.7%, plus: 4.9%} + label: sys + - {label: sys, symerror: 3.4%} + - {label: sys, symerror: 0.4%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 1.8%} + - {label: sys, symerror: 0.5%} + value: 25500.0 + - errors: + - {label: stat, symerror: 2.3%} + - asymerror: {minus: -3.9%, plus: 4.0%} + label: sys + - asymerror: {minus: -0.7%, plus: 0.8%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.4%} + - {label: sys, symerror: 1.5%} + - asymerror: {minus: 0.0%, plus: 0.1%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, 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asymerror: {minus: -0.2%, plus: 0.1%} + label: sys + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.6%} + - asymerror: {minus: -11.0%, plus: 12.0%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: 0.4%, plus: -0.3%} + label: sys + - asymerror: {minus: 1.6%, plus: -1.7%} + label: sys + - asymerror: {minus: -2.2%, plus: 2.0%} + label: sys + - asymerror: {minus: -0.4%, plus: 0.3%} + label: sys + - asymerror: {minus: -3.0%, plus: 3.1%} + label: sys + - {label: sys, symerror: 2.2%} + - {label: sys, symerror: 0.2%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 1.8%} + - {label: sys, symerror: 0.5%} + value: 150.0 + - errors: + - {label: stat, symerror: 3.0%} + - asymerror: {minus: -5.4%, plus: 5.7%} + label: sys + - {label: sys, symerror: 0.3%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.2%} + - {label: sys, symerror: 0.7%} + - {label: sys, symerror: 0.3%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.5%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.2%} + - {label: sys, symerror: 0.4%} + - asymerror: {minus: -1.1%, plus: 1.2%} + label: sys + - asymerror: {minus: -1.0%, plus: 1.1%} + label: sys + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.2%} + - asymerror: {minus: -0.3%, plus: 0.4%} + label: sys + - asymerror: {minus: -0.3%, plus: 0.4%} + label: sys + - {label: sys, symerror: 0.4%} + - asymerror: {minus: -0.4%, plus: 0.5%} + label: sys + - {label: sys, symerror: 0.6%} + - {label: sys, symerror: 0.4%} + - {label: sys, symerror: 0.0%} 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symerror: 0.4%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.8%} + - asymerror: {minus: -10.0%, plus: 12.0%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: 0.2%, plus: -0.2%} + label: sys + - asymerror: {minus: 0.7%, plus: -0.7%} + label: sys + - asymerror: {minus: -1.0%, plus: 0.9%} + label: sys + - {label: sys, symerror: 0.4%} + - {label: sys, symerror: 2.3%} + - {label: sys, symerror: 3.4%} + - {label: sys, symerror: 0.2%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 1.8%} + - {label: sys, symerror: 0.5%} + value: 1.82 + - errors: + - {label: stat, symerror: 7.1%} + - asymerror: {minus: -7.6%, plus: 8.1%} 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plus: 0.1%} + label: sys + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.2%} + - {label: sys, symerror: 0.3%} + - {label: sys, symerror: 0.7%} + - asymerror: {minus: -0.6%, plus: 0.5%} + label: sys + - {label: sys, symerror: 0.6%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: 0.0%, plus: 0.1%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.8%} + - asymerror: {minus: -11.0%, plus: 12.0%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: 0.1%, plus: -0.2%} + label: sys + - asymerror: {minus: 0.5%, plus: -0.5%} + label: sys + - asymerror: {minus: -0.8%, plus: 0.7%} + label: sys + - {label: sys, symerror: 0.4%} + - asymerror: {minus: -2.3%, plus: 2.2%} + label: sys + - {label: sys, symerror: 3.8%} + - {label: sys, symerror: 0.2%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 1.8%} + - {label: sys, symerror: 0.5%} + value: 0.706 + - errors: + - {label: stat, symerror: 9.7%} + - asymerror: {minus: -8.2%, plus: 8.7%} + label: sys + - {label: sys, symerror: 0.2%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.4%} + - {label: sys, symerror: 0.2%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.6%, plus: 0.7%} + label: sys + - {label: sys, symerror: 0.2%} + - {label: sys, symerror: 0.1%} + - asymerror: {minus: -0.5%, plus: 0.6%} + label: sys + - {label: sys, symerror: 1.4%} + - {label: sys, symerror: 2.0%} + - asymerror: {minus: -0.1%, plus: 0.2%} + label: sys + - {label: sys, symerror: 0.5%} + - {label: sys, symerror: 1.1%} + - {label: sys, symerror: 1.5%} + - {label: sys, symerror: 0.8%} + - {label: sys, symerror: 1.1%} + - {label: sys, symerror: 2.8%} + - {label: sys, symerror: 1.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: 0.0%, plus: 0.1%} + label: sys + - asymerror: {minus: 0.0%, plus: 0.1%} + label: sys + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.2%} + - {label: sys, symerror: 0.3%} + - {label: sys, symerror: 0.7%} + - {label: sys, symerror: 0.6%} + - {label: sys, symerror: 0.8%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.9%} + - asymerror: {minus: -11.0%, plus: 12.0%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: 0.1%, plus: -0.1%} + label: sys + - asymerror: {minus: 0.3%, plus: -0.2%} + label: sys + - {label: sys, symerror: 0.6%} + - {label: sys, symerror: 0.5%} + - {label: sys, symerror: 2.2%} + - {label: sys, symerror: 4.2%} + - {label: sys, symerror: 0.2%} + - {label: sys, symerror: 0.4%} + - {label: sys, symerror: 1.8%} + - {label: sys, symerror: 0.5%} + value: 0.244 + - errors: + - {label: stat, symerror: 16.0%} + - asymerror: {minus: -11.0%, plus: 12.0%} + label: sys + - asymerror: {minus: -0.2%, plus: 0.1%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - asymerror: {minus: -0.5%, plus: 0.4%} + label: sys + - asymerror: {minus: -0.2%, plus: 0.1%} + label: sys + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.9%, plus: 1.0%} + label: sys + - asymerror: {minus: -0.3%, plus: 0.2%} + label: sys + - asymerror: {minus: -0.2%, plus: 0.1%} + label: sys + - {label: sys, symerror: 0.9%} + - asymerror: {minus: -1.7%, plus: 1.6%} + label: sys + - asymerror: {minus: -2.9%, plus: 3.0%} + label: sys + - {label: sys, symerror: 0.2%} + - {label: sys, symerror: 1.1%} + - {label: sys, symerror: 2.0%} + - asymerror: {minus: -3.3%, plus: 3.4%} + label: sys + - asymerror: {minus: -1.6%, plus: 1.8%} + label: sys + - asymerror: {minus: -1.9%, plus: 2.0%} + label: sys + - asymerror: {minus: -6.3%, plus: 6.6%} + label: sys + - asymerror: {minus: -1.8%, plus: 1.9%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.2%, plus: 0.1%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.1%} + - asymerror: {minus: -0.2%, plus: 0.1%} + label: sys + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - asymerror: {minus: -0.2%, plus: 0.1%} + label: sys + - {label: sys, symerror: 0.4%} + - {label: sys, symerror: 1.1%} + - asymerror: {minus: -0.8%, plus: 0.9%} + label: sys + - {label: sys, symerror: 2.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.2%} + - {label: sys, symerror: 0.5%} + - {label: sys, symerror: 0.2%} + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 1.4%} + - asymerror: {minus: -12.0%, plus: 13.0%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.3%, plus: 0.2%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.6%} + - asymerror: {minus: -2.0%, plus: 1.9%} + label: sys + - {label: sys, symerror: 6.1%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 1.2%} + - {label: sys, symerror: 1.8%} + - {label: sys, symerror: 0.5%} + value: 0.0215 +- header: {name: D2(SIG)/DM(2JET)/DYRAP*, units: PB*TEV*-1} + qualifiers: + - {name: ABS(YRAP(JET1)), value: < 3.0} + - {name: ABS(YRAP(JET2)), value: < 3.0} + - {name: Correlation assumptions, value: Stronger} + - {name: PT(JET1), units: GEV, value: '> 100'} + - {name: PT(JET2), units: GEV, value: '> 50'} + - {name: R, value: '0.6'} + - {name: RE, value: P P --> JET JET X} + - {name: SQRT(S), units: GeV, value: '7000.0'} + - {name: YRAP*, value: 1.5-2.0} + values: + - errors: + - {label: stat, symerror: 2.0%} + - asymerror: {minus: -3.5%, plus: 3.6%} + label: sys + - asymerror: {minus: -2.3%, plus: 2.4%} + label: sys + - {label: sys, symerror: 1.2%} + - {label: sys, symerror: 0.7%} + - asymerror: {minus: -0.9%, plus: 0.8%} + label: sys + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 1.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.2%} + - {label: sys, symerror: 0.3%} + - {label: sys, symerror: 0.4%} + - asymerror: {minus: -0.4%, plus: 0.3%} + label: sys + - {label: sys, symerror: 0.2%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.6%, plus: 0.7%} + label: sys + - asymerror: {minus: -10.0%, plus: 11.0%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: 0.3%, plus: -0.4%} + label: sys + - asymerror: {minus: 1.4%, plus: -1.4%} + label: sys + - asymerror: {minus: -2.7%, plus: 2.9%} + label: sys + - asymerror: {minus: -0.4%, plus: 0.3%} + label: sys + - asymerror: {minus: -4.8%, plus: 5.1%} + label: sys + - {label: sys, symerror: 3.8%} + - {label: sys, symerror: 0.4%} + - {label: sys, symerror: 0.2%} + - {label: sys, symerror: 1.8%} + - {label: sys, symerror: 0.5%} + value: 49600.0 + - errors: + - {label: stat, symerror: 2.3%} + - asymerror: {minus: -3.7%, plus: 3.8%} + label: sys + - {label: sys, symerror: 2.3%} + - asymerror: {minus: -1.2%, plus: 1.3%} + label: sys + - asymerror: {minus: -0.7%, plus: 0.8%} + label: sys + - {label: sys, symerror: 0.9%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 1.1%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - {label: sys, symerror: 0.0%} + - asymerror: {minus: 0.0%, plus: 0.1%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: 0.0%, plus: 0.1%} + label: sys + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.1%} + - asymerror: {minus: -0.2%, plus: 0.1%} + label: sys + - asymerror: {minus: -0.3%, plus: 0.2%} + label: sys + - {label: sys, symerror: 0.4%} + - {label: sys, symerror: 0.4%} + - {label: sys, symerror: 0.3%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.6%, plus: 0.7%} + label: sys + - asymerror: {minus: -10.0%, plus: 11.0%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: 0.4%, plus: -0.4%} + label: sys + - asymerror: {minus: 1.5%, plus: -1.4%} + label: sys + - asymerror: {minus: -2.5%, plus: 2.6%} + label: sys + - {label: sys, symerror: 0.4%} + - asymerror: {minus: -4.7%, plus: 4.9%} + label: sys + - {label: sys, symerror: 3.4%} + - {label: sys, symerror: 0.4%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 1.8%} + - {label: sys, symerror: 0.5%} + value: 25500.0 + - errors: + - {label: stat, symerror: 2.3%} + - asymerror: {minus: -3.9%, plus: 4.0%} + label: sys + - {label: sys, symerror: 2.2%} + - {label: sys, symerror: 1.3%} + - asymerror: {minus: -0.7%, plus: 0.8%} + label: sys + - asymerror: {minus: -0.8%, plus: 0.9%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 1.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: 0.0%, plus: 0.1%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: 0.0%, plus: 0.1%} + label: sys + - asymerror: {minus: 0.0%, plus: 0.1%} + label: sys + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.2%} + - {label: sys, symerror: 0.3%} + - {label: sys, symerror: 0.4%} + - {label: sys, symerror: 0.3%} + - asymerror: {minus: 0.0%, plus: 0.1%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, 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asymerror: {minus: -1.6%, plus: 1.8%} + label: sys + - asymerror: {minus: -1.9%, plus: 2.0%} + label: sys + - asymerror: {minus: -6.3%, plus: 6.6%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.2%, plus: 0.1%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.1%} + - asymerror: {minus: -0.2%, plus: 0.1%} + label: sys + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - asymerror: {minus: -0.2%, plus: 0.1%} + label: sys + - {label: sys, symerror: 0.4%} + - {label: sys, symerror: 1.1%} + - asymerror: {minus: -0.8%, plus: 0.9%} + label: sys + - {label: sys, symerror: 2.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.2%} + - {label: sys, symerror: 0.5%} + - {label: sys, symerror: 0.2%} + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 1.4%} + - asymerror: {minus: -12.0%, plus: 13.0%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.4%, plus: 0.2%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.6%} + - asymerror: {minus: -2.0%, plus: 1.9%} + label: sys + - {label: sys, symerror: 6.1%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 1.2%} + - {label: sys, symerror: 1.8%} + - {label: sys, symerror: 0.5%} + value: 0.0215 +- header: {name: D2(SIG)/DM(2JET)/DYRAP*, units: PB*TEV*-1} + qualifiers: + - {name: ABS(YRAP(JET1)), value: < 3.0} + - {name: ABS(YRAP(JET2)), value: < 3.0} + - {name: Correlation assumptions, value: Weaker} + - {name: PT(JET1), units: GEV, value: '> 100'} + - {name: PT(JET2), units: GEV, value: '> 50'} + - {name: R, value: '0.6'} + - {name: RE, value: P P --> JET JET X} + - {name: SQRT(S), units: GeV, value: '7000.0'} + - {name: YRAP*, value: 1.5-2.0} + values: + - errors: + - {label: stat, symerror: 2.0%} + - {label: sys, symerror: 0.9%} + - {label: sys, symerror: 1.2%} + - asymerror: {minus: -2.8%, plus: 2.9%} + label: sys + - {label: sys, symerror: 0.8%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.4%} + - {label: sys, symerror: 1.7%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.6%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.5%} + - asymerror: {minus: -0.4%, plus: 0.3%} + label: sys + - {label: sys, symerror: 1.0%} + - {label: sys, symerror: 0.7%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.2%} + - {label: sys, symerror: 0.3%} + - {label: sys, symerror: 0.4%} + - asymerror: {minus: -0.4%, plus: 0.3%} + label: sys + - {label: sys, symerror: 0.2%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - 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symerror: 0.5%} + value: 49600.0 + - errors: + - {label: stat, symerror: 2.3%} + - {label: sys, symerror: 0.9%} + - {label: sys, symerror: 1.3%} + - asymerror: {minus: -3.0%, plus: 3.1%} + label: sys + - {label: sys, symerror: 0.8%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.4%} + - {label: sys, symerror: 1.6%} + - asymerror: {minus: 0.0%, plus: 0.1%} + label: sys + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.6%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.5%} + - asymerror: {minus: -0.4%, plus: 0.3%} + label: sys + - {label: sys, symerror: 1.1%} + - {label: sys, symerror: 0.7%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - {label: sys, symerror: 0.0%} + - asymerror: {minus: 0.0%, plus: 0.1%} + label: sys + - asymerror: {minus: 0.0%, plus: 0.1%} + label: sys + - {label: sys, symerror: 0.0%} 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label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: 0.4%, plus: -0.4%} + label: sys + - asymerror: {minus: 1.6%, plus: -1.4%} + label: sys + - {label: sys, symerror: 2.4%} + - {label: sys, symerror: 0.4%} + - asymerror: {minus: -4.5%, plus: 4.7%} + label: sys + - {label: sys, symerror: 3.0%} + - {label: sys, symerror: 0.3%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 1.8%} + - {label: sys, symerror: 0.5%} + value: 12200.0 + - errors: + - {label: stat, symerror: 2.6%} + - asymerror: {minus: -0.8%, plus: 0.9%} + label: sys + - asymerror: {minus: -1.6%, plus: 1.7%} + label: sys + - asymerror: {minus: -3.3%, plus: 3.4%} + label: sys + - {label: sys, symerror: 0.7%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.4%, plus: 0.3%} + label: sys + - {label: sys, symerror: 1.4%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.6%} + - {label: sys, symerror: 0.1%} + - {label: 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symerror: 1.8%} + - {label: sys, symerror: 0.5%} + value: 30.4 + - errors: + - {label: stat, symerror: 4.3%} + - {label: sys, symerror: 0.3%} + - {label: sys, symerror: 3.4%} + - asymerror: {minus: -5.0%, plus: 5.1%} + label: sys + - {label: sys, symerror: 0.2%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.5%} + - {label: sys, symerror: 0.3%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.5%} + - asymerror: {minus: -0.2%, plus: 0.1%} + label: sys + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.4%} + - asymerror: {minus: -1.2%, plus: 1.3%} + label: sys + - {label: sys, symerror: 1.3%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.2%} + - asymerror: {minus: -0.5%, plus: 0.6%} + label: sys + - {label: sys, symerror: 0.6%} + - {label: sys, symerror: 0.5%} + - asymerror: {minus: -0.6%, plus: 0.7%} + label: sys + - {label: sys, symerror: 1.0%} + - {label: sys, symerror: 0.5%} + - {label: sys, 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symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.2%} + - {label: sys, symerror: 0.3%} + - {label: sys, symerror: 0.7%} + - {label: sys, symerror: 0.6%} + - {label: sys, symerror: 0.8%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.9%} + - asymerror: {minus: -11.0%, plus: 12.0%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: 0.1%, plus: -0.1%} + label: sys + - asymerror: {minus: 0.4%, plus: -0.5%} + label: sys + - asymerror: {minus: -0.5%, plus: 0.6%} + label: sys + - {label: sys, symerror: 0.5%} + - {label: sys, symerror: 2.2%} + - {label: sys, symerror: 4.2%} + - {label: sys, symerror: 0.2%} + - {label: sys, symerror: 0.4%} + - {label: sys, symerror: 1.8%} + - {label: sys, symerror: 0.5%} + value: 0.244 + - errors: + - {label: stat, symerror: 16.0%} + - {label: sys, symerror: 0.2%} + - asymerror: {minus: -6.6%, plus: 7.1%} + label: sys + - asymerror: {minus: -9.2%, plus: 9.8%} + label: sys + - asymerror: {minus: -0.2%, plus: 0.1%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - asymerror: {minus: -0.5%, plus: 0.4%} + label: sys + - asymerror: {minus: -0.2%, plus: 0.1%} + label: sys + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.9%, plus: 1.0%} + label: sys + - asymerror: {minus: -0.3%, plus: 0.2%} + label: sys + - asymerror: {minus: -0.2%, plus: 0.1%} + label: sys + - {label: sys, symerror: 0.9%} + - asymerror: {minus: -1.7%, plus: 1.6%} + label: sys + - asymerror: {minus: -2.9%, plus: 3.0%} + label: sys + - {label: sys, symerror: 0.2%} + - {label: sys, symerror: 1.1%} + - {label: sys, symerror: 2.0%} + - asymerror: {minus: -3.3%, plus: 3.4%} + label: sys + - asymerror: {minus: -1.6%, plus: 1.8%} + label: sys + - asymerror: {minus: -1.9%, plus: 2.0%} + label: sys + - asymerror: {minus: -6.3%, plus: 6.6%} + label: sys + - asymerror: {minus: -1.8%, plus: 1.9%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.2%, plus: 0.1%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.1%} + - asymerror: {minus: -0.2%, plus: 0.1%} + label: sys + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - asymerror: {minus: -0.2%, plus: 0.1%} + label: sys + - {label: sys, symerror: 0.4%} + - {label: sys, symerror: 1.1%} + - asymerror: {minus: -0.8%, plus: 0.9%} + label: sys + - {label: sys, symerror: 2.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.2%} + - {label: sys, symerror: 0.5%} + - {label: sys, symerror: 0.2%} + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 1.4%} + - asymerror: {minus: -12.0%, plus: 13.0%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.4%, plus: 0.2%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.6%} + - asymerror: {minus: -2.0%, plus: 1.9%} + label: sys + - {label: sys, symerror: 6.1%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 1.2%} + - {label: sys, symerror: 1.8%} + - {label: sys, symerror: 0.5%} + value: 0.0215 +independent_variables: +- header: {name: M(2JET), units: TEV} + values: + - {high: 0.85, low: 0.76} + - {high: 0.95, low: 0.85} + - {high: 1.06, low: 0.95} + - {high: 1.18, low: 1.06} + - {high: 1.31, low: 1.18} + - {high: 1.45, low: 1.31} + - {high: 1.6, low: 1.45} + - {high: 1.76, low: 1.6} + - {high: 1.94, low: 1.76} + - {high: 2.12, low: 1.94} + - {high: 2.33, low: 2.12} + - {high: 2.55, low: 2.33} + - {high: 2.78, low: 2.55} + - {high: 3.04, low: 2.78} + - {high: 3.31, low: 3.04} + - {high: 3.61, low: 3.31} + - {high: 4.64, low: 3.61} diff --git a/buildmaster/ATLAS_2JET_7TEV_R06/rawdata/HEPData-ins1268975-v1-Table_11.yaml b/buildmaster/ATLAS_2JET_7TEV_R06/rawdata/HEPData-ins1268975-v1-Table_11.yaml new file mode 100644 index 0000000000..ee137046a9 --- /dev/null +++ b/buildmaster/ATLAS_2JET_7TEV_R06/rawdata/HEPData-ins1268975-v1-Table_11.yaml @@ -0,0 +1,2217 @@ +dependent_variables: +- header: {name: D2(SIG)/DM(2JET)/DYRAP*, units: PB*TEV*-1} + qualifiers: + - {name: ABS(YRAP(JET1)), value: < 3.0} + - {name: ABS(YRAP(JET2)), value: < 3.0} + - {name: Correlation assumptions, value: Nominal} + - {name: PT(JET1), units: GEV, value: '> 100'} + - {name: PT(JET2), units: GEV, value: '> 50'} + - {name: R, value: '0.6'} + - {name: RE, value: P P --> JET JET X} + - {name: SQRT(S), units: GeV, value: '7000.0'} + - {name: YRAP*, value: 2.0-2.5} + values: + - errors: + - {label: stat, symerror: 4.5%} + - asymerror: {minus: -4.4%, plus: 4.2%} + label: sys + - asymerror: {minus: -1.1%, plus: 0.9%} + label: sys + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - asymerror: {minus: -0.6%, plus: 0.5%} + label: sys + - asymerror: {minus: -2.0%, plus: 1.8%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - asymerror: {minus: -1.0%, plus: 0.8%} + label: sys + - asymerror: {minus: -0.2%, plus: 0.1%} + label: sys + - asymerror: {minus: -0.8%, plus: 0.6%} + label: sys + - asymerror: {minus: -0.6%, plus: 0.5%} + label: sys + - asymerror: {minus: -1.5%, plus: 1.2%} + label: sys + - asymerror: {minus: -1.0%, plus: 0.8%} + label: sys + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.1%} + - asymerror: {minus: -0.3%, plus: 0.2%} + label: sys + - asymerror: {minus: -0.5%, plus: 0.3%} + label: sys + - asymerror: {minus: -0.6%, plus: 0.5%} + label: sys + - asymerror: {minus: -0.7%, plus: 0.5%} + label: sys + - asymerror: {minus: -0.4%, plus: 0.3%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - asymerror: {minus: -0.2%, plus: 0.1%} + label: sys + - {label: sys, symerror: 0.1%} + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -1.2%, plus: 1.0%} + label: sys + - asymerror: {minus: -16.0%, plus: 18.0%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: 0.4%, plus: -0.4%} + label: sys + - asymerror: {minus: 2.5%, plus: -2.1%} + label: sys + - {label: sys, symerror: 2.8%} + - asymerror: {minus: -0.6%, plus: 0.5%} + label: sys + - {label: sys, symerror: 4.1%} + - {label: sys, symerror: 5.1%} + - {label: sys, symerror: 0.6%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 1.8%} + - {label: sys, symerror: 0.5%} + value: 3390.0 + - errors: + - {label: stat, symerror: 5.2%} + - asymerror: {minus: -4.4%, plus: 4.3%} + label: sys + - asymerror: {minus: -1.0%, plus: 0.9%} + label: sys + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - asymerror: {minus: -0.6%, plus: 0.5%} + label: sys + - asymerror: {minus: -1.9%, plus: 1.7%} + label: sys + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - {label: sys, symerror: 0.1%} + - asymerror: {minus: -0.9%, plus: 0.7%} + label: sys + - asymerror: {minus: -0.2%, plus: 0.1%} + label: sys + - asymerror: {minus: -0.7%, plus: 0.6%} + label: sys + - asymerror: {minus: -0.6%, plus: 0.5%} + label: sys + - asymerror: {minus: -1.4%, plus: 1.2%} + label: sys + - asymerror: {minus: -1.0%, plus: 0.8%} + label: sys + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - asymerror: {minus: 0.0%, plus: 0.1%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.2%} + - asymerror: {minus: -0.4%, plus: 0.3%} + label: sys + - asymerror: {minus: -0.5%, plus: 0.4%} + label: sys + - asymerror: {minus: -0.6%, plus: 0.5%} + label: sys + - {label: sys, symerror: 0.4%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - asymerror: {minus: -0.2%, plus: 0.1%} + label: sys + - {label: sys, symerror: 0.1%} + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -1.2%, plus: 0.9%} + label: sys + - asymerror: {minus: -16.0%, plus: 18.0%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: 0.5%, plus: -0.4%} + label: sys + - asymerror: {minus: 2.5%, plus: -2.0%} + label: sys + - asymerror: {minus: -2.7%, plus: 2.6%} + label: sys + - {label: sys, symerror: 0.5%} + - {label: sys, symerror: 3.9%} + - {label: sys, symerror: 4.8%} + - {label: sys, symerror: 0.6%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 1.8%} + - {label: sys, symerror: 0.5%} + value: 1780.0 + - errors: + - {label: stat, symerror: 6.3%} + - {label: sys, symerror: 4.5%} + - asymerror: {minus: -0.9%, plus: 0.8%} + label: sys + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - {label: sys, symerror: 0.5%} + - asymerror: {minus: -1.8%, plus: 1.7%} + label: sys + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - asymerror: {minus: -0.8%, plus: 0.7%} + label: sys + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.6%} + - {label: sys, symerror: 0.5%} + - asymerror: {minus: -1.4%, plus: 1.2%} + label: sys + - asymerror: {minus: -0.9%, plus: 0.8%} + label: sys + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - {label: sys, symerror: 0.1%} + - asymerror: {minus: -0.2%, plus: 0.1%} + label: sys + - asymerror: {minus: -0.3%, plus: 0.2%} + label: sys + - asymerror: {minus: -0.5%, plus: 0.4%} + label: sys + - asymerror: {minus: -0.6%, plus: 0.5%} + label: sys + - {label: sys, symerror: 0.5%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - asymerror: {minus: -0.2%, plus: 0.1%} + label: sys + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -1.1%, plus: 0.9%} + label: sys + - asymerror: {minus: -16.0%, plus: 18.0%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: 0.5%, plus: -0.3%} + label: sys + - asymerror: {minus: 2.3%, plus: -1.8%} + label: sys + - asymerror: {minus: -2.6%, plus: 2.5%} + label: sys + - asymerror: {minus: -0.5%, plus: 0.4%} + label: sys + - asymerror: {minus: -3.7%, plus: 3.8%} + label: sys + - {label: sys, symerror: 4.4%} + - {label: sys, symerror: 0.6%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 1.8%} + - {label: sys, symerror: 0.5%} + value: 832.0 + - errors: + - {label: stat, symerror: 6.5%} + - asymerror: {minus: -4.8%, plus: 5.0%} + label: sys + - asymerror: {minus: -0.8%, plus: 0.7%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.4%} + - {label: sys, symerror: 1.6%} + - asymerror: {minus: -0.2%, plus: 0.1%} + label: sys + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.7%, plus: 0.6%} + label: sys + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.5%} + - {label: sys, symerror: 0.4%} + - {label: sys, symerror: 1.3%} + - asymerror: {minus: -0.9%, plus: 0.8%} + label: sys + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.2%, plus: 0.1%} + label: sys + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.2%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.2%} + - {label: sys, symerror: 0.3%} + - {label: sys, symerror: 0.5%} + - {label: sys, symerror: 0.5%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -1.1%, plus: 1.0%} + label: sys + - asymerror: {minus: -16.0%, plus: 19.0%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: 0.5%, plus: -0.3%} + label: sys + - asymerror: {minus: 2.2%, plus: -1.8%} + label: sys + - asymerror: {minus: -2.4%, plus: 2.5%} + label: sys + - {label: sys, symerror: 0.4%} + - asymerror: {minus: -3.4%, plus: 3.7%} + label: sys + - {label: sys, symerror: 4.0%} + - {label: sys, symerror: 0.5%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 1.8%} + - {label: sys, symerror: 0.5%} + value: 293.0 + - errors: + - {label: stat, symerror: 8.8%} + - asymerror: {minus: -5.5%, plus: 5.9%} + label: sys + - {label: sys, symerror: 0.6%} + - {label: sys, symerror: 0.0%} + - 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assumptions, value: Stronger} + - {name: PT(JET1), units: GEV, value: '> 100'} + - {name: PT(JET2), units: GEV, value: '> 50'} + - {name: R, value: '0.6'} + - {name: RE, value: P P --> JET JET X} + - {name: SQRT(S), units: GeV, value: '7000.0'} + - {name: YRAP*, value: 2.0-2.5} + values: + - errors: + - {label: stat, symerror: 4.5%} + - asymerror: {minus: -4.4%, plus: 4.2%} + label: sys + - asymerror: {minus: -2.8%, plus: 2.5%} + label: sys + - asymerror: {minus: -1.7%, plus: 1.4%} + label: sys + - asymerror: {minus: -1.1%, plus: 0.9%} + label: sys + - asymerror: {minus: -1.2%, plus: 1.0%} + label: sys + - {label: sys, symerror: 0.1%} + - asymerror: {minus: -0.2%, plus: 0.1%} + label: sys + - asymerror: {minus: -1.5%, plus: 1.2%} + label: sys + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 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units: GEV, value: '> 50'} + - {name: R, value: '0.6'} + - {name: RE, value: P P --> JET JET X} + - {name: SQRT(S), units: GeV, value: '7000.0'} + - {name: YRAP*, value: 2.0-2.5} + values: + - errors: + - {label: stat, symerror: 4.5%} + - asymerror: {minus: -1.3%, plus: 1.1%} + label: sys + - asymerror: {minus: -1.7%, plus: 1.5%} + label: sys + - asymerror: {minus: -3.6%, plus: 3.3%} + label: sys + - asymerror: {minus: -1.1%, plus: 0.9%} + label: sys + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - asymerror: {minus: -0.6%, plus: 0.5%} + label: sys + - asymerror: {minus: -2.0%, plus: 1.8%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - asymerror: {minus: -1.0%, plus: 0.8%} + label: sys + - asymerror: {minus: -0.2%, plus: 0.1%} + label: sys + - asymerror: {minus: -0.8%, plus: 0.6%} + label: sys + - asymerror: {minus: -0.6%, plus: 0.5%} + label: sys + - asymerror: {minus: -1.5%, plus: 1.2%} + label: sys + - asymerror: {minus: -1.0%, plus: 0.8%} + label: sys + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.1%} + - asymerror: {minus: -0.3%, plus: 0.2%} + label: sys + - asymerror: {minus: -0.5%, plus: 0.3%} + label: sys + - asymerror: {minus: -0.6%, plus: 0.5%} + label: sys + - asymerror: {minus: -0.7%, plus: 0.5%} + label: sys + - asymerror: {minus: -0.4%, plus: 0.3%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - asymerror: {minus: -0.2%, plus: 0.1%} + label: sys + - {label: sys, symerror: 0.1%} + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -1.2%, plus: 1.0%} + label: sys + - asymerror: {minus: -16.0%, plus: 18.0%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: 0.5%, plus: -0.4%} + label: sys + - asymerror: {minus: 2.5%, plus: -2.1%} + label: sys + - asymerror: {minus: -2.7%, plus: 2.8%} + label: sys + - asymerror: {minus: -0.6%, plus: 0.5%} 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plus: 1.2%} + label: sys + - asymerror: {minus: -1.0%, plus: 0.8%} + label: sys + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - asymerror: {minus: 0.0%, plus: 0.1%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.2%} + - asymerror: {minus: -0.4%, plus: 0.3%} + label: sys + - asymerror: {minus: -0.5%, plus: 0.4%} + label: sys + - asymerror: {minus: -0.6%, plus: 0.5%} + label: sys + - {label: sys, symerror: 0.4%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.1%, plus: 0.0%} + label: 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label: sys + - {label: sys, symerror: 2.7%} + - {label: sys, symerror: 0.5%} + - {label: sys, symerror: 3.9%} + - {label: sys, symerror: 4.8%} + - {label: sys, symerror: 0.6%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 1.8%} + - {label: sys, symerror: 0.5%} + value: 1780.0 + - errors: + - {label: stat, symerror: 6.3%} + - asymerror: {minus: -1.2%, plus: 1.0%} + label: sys + - asymerror: {minus: -1.9%, plus: 1.7%} + label: sys + - {label: sys, symerror: 3.6%} + - asymerror: {minus: -0.9%, plus: 0.8%} + label: sys + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - {label: sys, symerror: 0.5%} + - asymerror: {minus: -1.8%, plus: 1.7%} + label: sys + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - asymerror: {minus: -0.8%, plus: 0.7%} + label: sys + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.6%} + - {label: sys, symerror: 0.5%} + - asymerror: {minus: -1.4%, plus: 1.2%} + label: sys + - 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293.0 + - errors: + - {label: stat, symerror: 8.8%} + - {label: sys, symerror: 0.8%} + - asymerror: {minus: -2.6%, plus: 2.7%} + label: sys + - asymerror: {minus: -4.5%, plus: 4.6%} + label: sys + - {label: sys, symerror: 0.6%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.3%} + - asymerror: {minus: -1.3%, plus: 1.5%} + label: sys + - {label: sys, symerror: 0.3%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.6%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.4%} + - {label: sys, symerror: 0.4%} + - asymerror: {minus: -1.3%, plus: 1.4%} + label: sys + - asymerror: {minus: -0.9%, plus: 1.0%} + label: sys + - asymerror: {minus: -0.1%, plus: 0.2%} + label: sys + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.2%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.3%} + - {label: sys, symerror: 0.2%} + - {label: sys, symerror: 0.4%} + - asymerror: {minus: -0.2%, plus: 0.3%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.2%} + - asymerror: {minus: -0.3%, plus: 0.4%} + label: sys + - asymerror: {minus: -0.4%, plus: 0.5%} + label: sys + - {label: sys, symerror: 0.2%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.1%} + - asymerror: {minus: -0.1%, plus: 0.2%} + label: sys + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -1.0%, plus: 1.1%} + label: sys + - asymerror: {minus: -18.0%, plus: 21.0%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: 0.5%, plus: -0.3%} + label: sys + - asymerror: {minus: 2.4%, plus: -2.0%} + label: sys + - asymerror: {minus: -2.3%, plus: 2.5%} + label: sys + - asymerror: {minus: -0.4%, plus: 0.5%} + label: sys + - asymerror: {minus: -3.2%, plus: 3.5%} + label: sys + - {label: sys, symerror: 4.0%} + - {label: sys, symerror: 0.3%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 1.8%} + - {label: sys, symerror: 0.5%} + value: 57.5 + - errors: + - {label: stat, symerror: 12.0%} + - {label: sys, symerror: 0.7%} + - asymerror: {minus: -3.3%, plus: 3.4%} + label: sys + - asymerror: {minus: -5.3%, plus: 5.4%} + label: sys + - {label: sys, symerror: 0.5%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.2%, plus: 0.3%} + label: sys + - asymerror: {minus: -1.1%, plus: 1.2%} + label: sys + - {label: sys, symerror: 0.5%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.6%, plus: 0.7%} + label: sys + - asymerror: {minus: -0.1%, plus: 0.2%} + label: sys + - {label: sys, symerror: 0.3%} + - {label: sys, symerror: 0.5%} + - asymerror: {minus: -1.5%, plus: 1.6%} + label: sys + - asymerror: {minus: -1.2%, plus: 1.3%} + label: sys + - {label: sys, symerror: 0.2%} + - {label: sys, symerror: 0.2%} + - {label: sys, symerror: 0.4%} + - {label: sys, symerror: 0.3%} + - asymerror: {minus: -0.4%, plus: 0.5%} + label: sys + - {label: sys, symerror: 0.5%} + - {label: sys, symerror: 0.7%} + - asymerror: {minus: -0.4%, plus: 0.5%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.3%} + - {label: sys, symerror: 0.4%} + - {label: sys, symerror: 0.3%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.2%} + - asymerror: {minus: -0.2%, plus: 0.3%} + label: sys + - {label: sys, symerror: 0.2%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -1.2%, plus: 1.3%} + label: sys + - asymerror: {minus: -19.0%, plus: 23.0%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: 0.5%, plus: -0.3%} + label: sys + - asymerror: {minus: 2.7%, plus: -2.1%} + label: sys + - asymerror: {minus: -2.3%, plus: 2.6%} + label: sys + - {label: sys, symerror: 0.5%} + - asymerror: {minus: -3.0%, plus: 3.2%} + label: sys + - {label: sys, symerror: 4.9%} + - {label: sys, symerror: 0.3%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 1.8%} + - {label: sys, symerror: 0.5%} + value: 9.59 + - errors: + - {label: stat, symerror: 12.0%} + - asymerror: {minus: -0.7%, plus: 0.6%} + label: sys + - asymerror: {minus: -4.1%, plus: 4.2%} + label: sys + - asymerror: {minus: -6.1%, plus: 6.4%} + label: sys + - {label: sys, symerror: 0.5%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.2%, plus: 0.3%} + label: sys + - {label: sys, symerror: 1.0%} + - asymerror: {minus: -0.6%, plus: 0.5%} + label: sys + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.8%, plus: 0.7%} + label: sys + - {label: sys, symerror: 0.2%} + - {label: sys, symerror: 0.3%} + - {label: sys, symerror: 0.6%} + - {label: sys, symerror: 1.8%} + - asymerror: {minus: -1.7%, plus: 1.6%} + label: sys + - {label: sys, symerror: 0.2%} + - {label: sys, symerror: 0.3%} + - {label: sys, symerror: 0.6%} + - {label: sys, symerror: 0.6%} + - asymerror: {minus: -0.7%, plus: 0.6%} + label: sys + - {label: sys, symerror: 0.8%} + - asymerror: {minus: -1.0%, plus: 0.9%} + label: sys + - asymerror: {minus: -0.7%, plus: 0.6%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.2%} + - asymerror: {minus: -0.3%, plus: 0.4%} + label: sys + - asymerror: {minus: -0.3%, plus: 0.4%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.2%} + - asymerror: {minus: -0.4%, plus: 0.3%} + label: sys + - asymerror: {minus: -0.4%, plus: 0.3%} + label: sys + - {label: sys, symerror: 0.3%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 1.5%} + - asymerror: {minus: -20.0%, plus: 25.0%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: 0.5%, plus: -0.3%} + label: sys + - asymerror: {minus: 3.1%, plus: -2.3%} + label: sys + - asymerror: {minus: -2.2%, plus: 2.6%} + label: sys + - asymerror: {minus: -0.7%, plus: 0.6%} + label: sys + - asymerror: {minus: -3.0%, plus: 3.2%} + label: sys + - {label: sys, symerror: 6.1%} + - {label: sys, symerror: 0.4%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 1.8%} + - {label: sys, symerror: 0.5%} + value: 1.34 + - errors: + - {label: stat, symerror: 29.0%} + - asymerror: {minus: -0.8%, plus: 0.5%} + label: sys + - asymerror: {minus: -6.2%, plus: 6.1%} + label: sys + - asymerror: {minus: -8.6%, plus: 9.2%} + label: sys + - asymerror: {minus: -0.6%, plus: 0.3%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.2%} + - asymerror: {minus: -1.1%, plus: 0.8%} + label: sys + - asymerror: {minus: -0.8%, plus: 0.5%} + label: sys + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -1.2%, plus: 0.9%} + label: sys + - {label: sys, symerror: 0.3%} + - {label: sys, symerror: 0.2%} + - asymerror: {minus: -1.1%, plus: 0.8%} + label: sys + - asymerror: {minus: -2.5%, plus: 2.1%} + label: sys + - asymerror: {minus: -2.7%, plus: 2.4%} + label: sys + - {label: sys, symerror: 0.2%} + - asymerror: {minus: -0.7%, plus: 0.5%} + label: sys + - asymerror: {minus: -1.3%, plus: 1.1%} + label: sys + - asymerror: {minus: -1.5%, plus: 1.2%} + label: sys + - asymerror: {minus: -1.1%, plus: 0.9%} + label: sys + - asymerror: {minus: -1.5%, plus: 1.4%} + label: sys + - asymerror: {minus: -2.1%, plus: 1.8%} + label: sys + - asymerror: {minus: -1.3%, plus: 1.0%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.1%, plus: 0.2%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - asymerror: {minus: -0.1%, plus: 0.2%} + label: sys + - {label: sys, symerror: 0.2%} + - asymerror: {minus: -0.3%, plus: 0.4%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.1%, plus: 0.2%} + label: sys + - asymerror: {minus: -0.6%, plus: 0.3%} + label: sys + - asymerror: {minus: -0.9%, plus: 0.6%} + label: sys + - asymerror: {minus: -1.1%, plus: 0.9%} + label: sys + - asymerror: {minus: -0.7%, plus: 0.6%} + label: sys + - asymerror: {minus: -0.2%, plus: 0.3%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -2.2%, plus: 2.0%} + label: sys + - asymerror: {minus: -25.0%, plus: 31.0%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: 4.4%, plus: -3.1%} + label: sys + - asymerror: {minus: -1.1%, plus: 2.8%} + label: sys + - asymerror: {minus: -1.0%, plus: 0.8%} + label: sys + - {label: sys, symerror: 3.1%} + - {label: sys, symerror: 9.5%} + - {label: sys, symerror: 0.4%} + - {label: sys, symerror: 1.6%} + - {label: sys, symerror: 1.8%} + - {label: sys, symerror: 0.5%} + value: 0.045 +independent_variables: +- header: {name: M(2JET), units: TEV} + values: + - {high: 1.45, low: 1.31} + - {high: 1.6, low: 1.45} + - {high: 1.76, low: 1.6} + - {high: 2.12, low: 1.76} + - {high: 2.55, low: 2.12} + - {high: 3.04, low: 2.55} + - {high: 3.61, low: 3.04} + - {high: 5.04, low: 3.61} diff --git a/buildmaster/ATLAS_2JET_7TEV_R06/rawdata/HEPData-ins1268975-v1-Table_12.yaml b/buildmaster/ATLAS_2JET_7TEV_R06/rawdata/HEPData-ins1268975-v1-Table_12.yaml new file mode 100644 index 0000000000..a7f8ea2fb2 --- /dev/null +++ b/buildmaster/ATLAS_2JET_7TEV_R06/rawdata/HEPData-ins1268975-v1-Table_12.yaml @@ -0,0 +1,1129 @@ +dependent_variables: +- header: {name: D2(SIG)/DM(2JET)/DYRAP*, units: PB*TEV*-1} + qualifiers: + - {name: ABS(YRAP(JET1)), value: < 3.0} + - {name: ABS(YRAP(JET2)), value: < 3.0} + - {name: Correlation assumptions, value: Nominal} + - {name: PT(JET1), units: GEV, value: '> 100'} + - {name: PT(JET2), units: GEV, value: '> 50'} + - {name: R, value: '0.6'} + - {name: RE, value: P P --> JET JET X} + - {name: SQRT(S), units: GeV, value: '7000.0'} + - {name: YRAP*, value: 2.5-3.0} + values: + - errors: + - {label: stat, symerror: 18.0%} + - {label: sys, symerror: 5.3%} + - asymerror: {minus: -1.0%, plus: 1.1%} + label: sys + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.5%, plus: 0.6%} + label: sys + - asymerror: {minus: -2.1%, plus: 2.0%} + label: sys + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.8%, plus: 0.9%} + label: sys + - {label: sys, symerror: 0.1%} + - asymerror: {minus: -0.6%, plus: 0.7%} + label: sys + - {label: sys, symerror: 0.5%} + - {label: sys, symerror: 1.5%} + - asymerror: {minus: -0.9%, plus: 1.1%} + label: sys + - {label: sys, symerror: 0.1%} + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.1%, plus: 0.2%} + label: sys + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.1%, plus: 0.2%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: 0.0%, plus: 0.1%} + label: sys + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.1%, plus: 0.2%} + label: sys + - {label: sys, symerror: 0.3%} + - {label: sys, symerror: 0.5%} + - {label: sys, symerror: 0.6%} + - {label: sys, symerror: 0.5%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 1.6%} + - asymerror: {minus: -21.0%, plus: 26.0%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: 0.3%, plus: -0.3%} + label: sys + - asymerror: {minus: 3.0%, plus: -2.5%} + label: sys + - asymerror: {minus: -2.1%, plus: 2.5%} + label: sys + - asymerror: {minus: -0.5%, plus: 0.6%} + label: sys + - {label: sys, symerror: 2.9%} + - {label: sys, symerror: 5.2%} + - {label: sys, symerror: 1.2%} + - {label: sys, symerror: 0.3%} + - {label: sys, symerror: 1.8%} + - {label: sys, symerror: 0.5%} + value: 109.0 + - errors: + - {label: stat, symerror: 26.0%} + - asymerror: {minus: -5.9%, plus: 6.2%} + label: sys + - asymerror: {minus: -0.8%, plus: 1.0%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.5%} + - {label: sys, symerror: 1.9%} + - asymerror: {minus: -0.3%, plus: 0.1%} + label: sys + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.8%, plus: 0.9%} + label: sys + - {label: sys, symerror: 0.1%} + - asymerror: {minus: -0.6%, plus: 0.7%} + label: sys + - asymerror: {minus: -0.6%, plus: 0.5%} + label: sys + - asymerror: {minus: -1.4%, plus: 1.6%} + label: sys + - asymerror: {minus: -0.9%, plus: 1.1%} + label: sys + - {label: sys, symerror: 0.1%} + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - asymerror: {minus: 0.0%, plus: 0.1%} + label: sys + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.1%, plus: 0.3%} + label: sys + - asymerror: {minus: 0.0%, plus: 0.1%} + label: sys + - {label: sys, symerror: 0.3%} + - asymerror: {minus: 0.0%, plus: 0.1%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: 0.0%, plus: 0.1%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.2%} + - asymerror: {minus: -0.4%, plus: 0.3%} + label: sys + - {label: sys, symerror: 0.6%} + - asymerror: {minus: -0.6%, plus: 0.7%} + label: sys + - asymerror: {minus: 0.0%, plus: 0.1%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: 0.0%, plus: 0.1%} + label: sys + - {label: sys, symerror: 0.0%} + - 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- {label: sys, symerror: 0.1%} + - {label: sys, symerror: 1.8%} + - {label: sys, symerror: 0.5%} + value: 9.75 + - errors: + - {label: stat, symerror: 36.0%} + - asymerror: {minus: -7.6%, plus: 8.0%} + label: sys + - asymerror: {minus: -0.6%, plus: 0.9%} + label: sys + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.3%, plus: 0.4%} + label: sys + - {label: sys, symerror: 1.6%} + - asymerror: {minus: -0.5%, plus: 0.4%} + label: sys + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.7%, plus: 0.9%} + label: sys + - {label: sys, symerror: 0.1%} + - asymerror: {minus: -0.5%, plus: 0.6%} + label: sys + - asymerror: {minus: -0.5%, plus: 0.6%} + label: sys + - asymerror: {minus: -1.6%, plus: 1.7%} + label: sys + - asymerror: {minus: -1.2%, plus: 1.3%} + label: sys + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.1%} + - asymerror: {minus: -0.2%, plus: 0.3%} + label: sys + - {label: sys, symerror: 0.2%} + - asymerror: {minus: -0.3%, plus: 0.5%} + label: sys + - 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{minus: -1.0%, plus: 0.9%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - asymerror: {minus: -1.8%, plus: 1.6%} + label: sys + - asymerror: {minus: -1.2%, plus: 1.0%} + label: sys + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -1.4%, plus: 1.1%} + label: sys + - asymerror: {minus: -0.5%, plus: 0.2%} + label: sys + - asymerror: {minus: -0.8%, plus: 0.4%} + label: sys + - asymerror: {minus: -1.2%, plus: 0.9%} + label: sys + - asymerror: {minus: -2.9%, plus: 2.6%} + label: sys + - asymerror: {minus: -2.7%, plus: 2.4%} + label: sys + - asymerror: {minus: -0.6%, plus: 0.2%} + label: sys + - asymerror: {minus: -0.6%, plus: 0.2%} + label: sys + - asymerror: {minus: -1.1%, plus: 0.8%} + label: sys + - asymerror: {minus: -1.1%, plus: 0.8%} + label: sys + - asymerror: {minus: -1.3%, plus: 1.0%} + label: sys + - asymerror: {minus: -1.5%, plus: 1.2%} + label: sys + - asymerror: {minus: -1.5%, plus: 1.3%} + label: sys + - asymerror: {minus: -1.3%, plus: 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Correlation assumptions, value: Stronger} + - {name: PT(JET1), units: GEV, value: '> 100'} + - {name: PT(JET2), units: GEV, value: '> 50'} + - {name: R, value: '0.6'} + - {name: RE, value: P P --> JET JET X} + - {name: SQRT(S), units: GeV, value: '7000.0'} + - {name: YRAP*, value: 2.5-3.0} + values: + - errors: + - {label: stat, symerror: 18.0%} + - {label: sys, symerror: 5.3%} + - asymerror: {minus: -2.9%, plus: 2.8%} + label: sys + - {label: sys, symerror: 1.8%} + - asymerror: {minus: -1.0%, plus: 1.1%} + label: sys + - asymerror: {minus: -1.1%, plus: 1.2%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 1.5%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.1%, plus: 0.2%} + label: sys + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.1%, plus: 0.2%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: 0.0%, plus: 0.1%} + label: sys + - asymerror: {minus: 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plus: 1.6%} + label: sys + - asymerror: {minus: 0.0%, plus: 0.1%} + label: sys + - asymerror: {minus: -0.1%, plus: 0.3%} + label: sys + - asymerror: {minus: 0.0%, plus: 0.1%} + label: sys + - {label: sys, symerror: 0.3%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: 0.0%, plus: 0.1%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.2%} + - asymerror: {minus: -0.4%, plus: 0.3%} + label: sys + - {label: sys, symerror: 0.6%} + - asymerror: {minus: -0.6%, plus: 0.7%} + label: sys + - asymerror: {minus: 0.0%, plus: 0.1%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: 0.0%, plus: 0.1%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: 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9.75 + - errors: + - {label: stat, symerror: 36.0%} + - asymerror: {minus: -7.6%, plus: 8.0%} + label: sys + - asymerror: {minus: -3.0%, plus: 3.2%} + label: sys + - {label: sys, symerror: 2.2%} + - asymerror: {minus: -1.2%, plus: 1.3%} + label: sys + - asymerror: {minus: -0.8%, plus: 1.0%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - asymerror: {minus: -1.6%, plus: 1.7%} + label: sys + - asymerror: {minus: -0.2%, plus: 0.3%} + label: sys + - asymerror: {minus: -0.3%, plus: 0.5%} + label: sys + - {label: sys, symerror: 0.3%} + - {label: sys, symerror: 0.5%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: 0.0%, plus: 0.1%} + label: sys + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.2%} + - asymerror: {minus: -0.4%, plus: 0.5%} + label: sys + - asymerror: {minus: -0.5%, plus: 0.7%} + label: sys + - asymerror: {minus: -0.2%, plus: 0.3%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.1%, plus: 0.2%} + label: sys + - {label: sys, symerror: 0.2%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 2.3%} + - asymerror: {minus: -28.0%, plus: 37.0%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: 0.3%, plus: -0.3%} + label: sys + - asymerror: {minus: 3.2%, plus: -2.4%} + label: sys + - asymerror: {minus: -2.7%, plus: 2.6%} + label: sys + - asymerror: {minus: -0.6%, plus: 0.8%} + label: sys + - asymerror: {minus: -2.6%, plus: 2.7%} + label: sys + - {label: sys, symerror: 5.9%} + - {label: sys, symerror: 1.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 1.8%} + - {label: sys, symerror: 0.5%} + value: 2.42 + - errors: + - {label: stat, symerror: 76.0%} + - asymerror: {minus: -13.0%, plus: 14.0%} + label: sys + - asymerror: {minus: -4.2%, plus: 4.6%} + label: sys + - asymerror: {minus: -3.4%, plus: 3.3%} + label: sys + - asymerror: {minus: -2.7%, plus: 2.4%} + label: sys + - asymerror: {minus: -1.0%, plus: 0.9%} + label: sys + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.5%, plus: 0.2%} + label: sys + - asymerror: {minus: -2.9%, plus: 2.6%} + label: sys + - asymerror: {minus: -1.1%, plus: 0.8%} + label: sys + - asymerror: {minus: -1.3%, plus: 1.0%} + label: sys + - asymerror: {minus: -1.5%, plus: 1.2%} + label: sys + - asymerror: {minus: -1.5%, plus: 1.3%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.3%} + - asymerror: {minus: -0.9%, plus: 0.7%} + label: sys + - asymerror: {minus: -0.9%, plus: 0.6%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.6%, plus: 0.3%} + label: sys + - asymerror: {minus: -0.8%, plus: 0.6%} + label: sys + - asymerror: {minus: -0.7%, plus: 0.4%} + label: sys + - {label: sys, symerror: 0.3%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -4.3%, plus: 4.4%} + label: sys + - asymerror: {minus: -40.0%, plus: 59.0%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - asymerror: {minus: 4.8%, plus: -5.1%} + label: sys + - asymerror: {minus: -3.7%, plus: 2.8%} + label: sys + - asymerror: {minus: -1.3%, plus: 1.1%} + label: sys + - asymerror: {minus: -3.0%, plus: 2.9%} + label: sys + - {label: sys, symerror: 4.2%} + - {label: sys, symerror: 2.4%} + - {label: sys, symerror: 0.4%} + - {label: sys, symerror: 1.8%} + - {label: sys, symerror: 0.5%} + value: 0.021 +- header: {name: D2(SIG)/DM(2JET)/DYRAP*, units: PB*TEV*-1} + qualifiers: + - {name: ABS(YRAP(JET1)), value: < 3.0} + - {name: ABS(YRAP(JET2)), value: < 3.0} + - {name: Correlation assumptions, value: Weaker} + - {name: PT(JET1), units: GEV, value: '> 100'} + - {name: PT(JET2), units: GEV, value: '> 50'} + - {name: R, value: '0.6'} + - {name: RE, value: P P --> JET JET X} + - {name: SQRT(S), units: GeV, value: '7000.0'} + - {name: YRAP*, value: 2.5-3.0} + values: + - errors: + - {label: stat, symerror: 18.0%} + - asymerror: {minus: -1.2%, plus: 1.3%} + label: sys + - asymerror: {minus: -2.1%, plus: 2.0%} + label: sys + - asymerror: {minus: -4.3%, plus: 4.1%} + label: sys + - asymerror: {minus: -1.0%, plus: 1.1%} + label: sys + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.5%, plus: 0.6%} + label: sys + - asymerror: {minus: -2.1%, plus: 2.0%} + label: sys + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.8%, plus: 0.9%} + label: sys + - {label: sys, symerror: 0.1%} + - asymerror: {minus: -0.6%, plus: 0.7%} + label: sys + - {label: sys, symerror: 0.5%} + - {label: sys, symerror: 1.5%} + - asymerror: {minus: -0.9%, plus: 1.1%} + label: sys + - {label: sys, symerror: 0.1%} + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.1%, plus: 0.2%} + label: sys + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.1%, plus: 0.2%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: 0.0%, plus: 0.1%} + label: sys + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.1%, plus: 0.2%} + label: sys + - {label: sys, symerror: 0.3%} + - {label: sys, symerror: 0.5%} + - {label: sys, symerror: 0.6%} + - {label: sys, symerror: 0.5%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 1.6%} + - asymerror: {minus: -21.0%, plus: 26.0%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: 0.3%, plus: -0.3%} + label: sys + - asymerror: {minus: 3.1%, plus: -2.5%} + label: sys + - asymerror: {minus: -2.1%, plus: 2.5%} + label: sys + - asymerror: {minus: -0.5%, plus: 0.6%} + label: sys + - {label: sys, symerror: 2.9%} + - {label: sys, symerror: 5.2%} + - {label: sys, symerror: 1.2%} + - {label: sys, symerror: 0.3%} + - {label: sys, symerror: 1.8%} + - {label: sys, symerror: 0.5%} + value: 109.0 + - errors: + - {label: stat, symerror: 26.0%} + - asymerror: {minus: -1.1%, plus: 1.2%} + label: sys + - asymerror: {minus: -2.5%, plus: 2.6%} + label: sys + - {label: sys, symerror: 4.8%} + - asymerror: {minus: -0.8%, plus: 1.0%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.5%} + - {label: sys, symerror: 1.9%} + - asymerror: {minus: -0.3%, plus: 0.1%} + label: sys + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.8%, plus: 0.9%} + label: sys + - {label: sys, symerror: 0.1%} + - asymerror: {minus: -0.6%, plus: 0.7%} + label: sys + - asymerror: {minus: -0.6%, plus: 0.5%} + label: sys + - asymerror: {minus: -1.4%, plus: 1.6%} + label: sys + - asymerror: {minus: -0.9%, plus: 1.1%} + label: sys + - {label: sys, symerror: 0.1%} + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - asymerror: {minus: 0.0%, plus: 0.1%} + label: sys + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.1%, plus: 0.3%} + label: sys + - asymerror: {minus: 0.0%, plus: 0.1%} + label: sys + - {label: sys, symerror: 0.3%} + - asymerror: {minus: 0.0%, plus: 0.1%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: 0.0%, plus: 0.1%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.2%} + - asymerror: {minus: -0.4%, plus: 0.3%} + label: sys + - {label: sys, symerror: 0.6%} + - asymerror: {minus: -0.6%, plus: 0.7%} + label: sys + - asymerror: {minus: 0.0%, plus: 0.1%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: 0.0%, plus: 0.1%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 1.8%} + - asymerror: {minus: -23.0%, plus: 30.0%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: 0.3%, plus: -0.3%} + label: sys + - asymerror: {minus: 3.0%, plus: -2.2%} + label: sys + - asymerror: {minus: -2.0%, plus: 2.5%} + label: sys + - {label: sys, symerror: 0.6%} + - asymerror: {minus: -2.7%, plus: 2.8%} + label: sys + - {label: sys, symerror: 4.8%} + - {label: sys, symerror: 1.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 1.8%} + - {label: sys, symerror: 0.5%} + value: 9.75 + - errors: + - {label: stat, symerror: 36.0%} + - asymerror: {minus: -0.9%, plus: 1.1%} + label: sys + - asymerror: {minus: -3.6%, plus: 3.7%} + label: sys + - asymerror: {minus: -6.2%, plus: 6.3%} + label: sys + - asymerror: {minus: -0.6%, plus: 0.9%} + label: sys + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.3%, plus: 0.4%} + label: sys + - {label: sys, symerror: 1.6%} + - asymerror: {minus: -0.5%, plus: 0.4%} + label: sys + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.7%, plus: 0.9%} + label: sys + - {label: sys, symerror: 0.1%} + - asymerror: {minus: -0.5%, plus: 0.6%} + label: sys + - asymerror: {minus: -0.5%, plus: 0.6%} + label: sys + - asymerror: {minus: -1.6%, plus: 1.7%} + label: sys + - asymerror: {minus: -1.2%, plus: 1.3%} + label: sys + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.1%} + - asymerror: {minus: -0.2%, plus: 0.3%} + label: sys + - {label: sys, symerror: 0.2%} + - asymerror: {minus: -0.3%, plus: 0.5%} + label: sys + - {label: sys, symerror: 0.3%} + - {label: sys, symerror: 0.5%} + - {label: sys, symerror: 0.3%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: 0.0%, plus: 0.1%} + label: sys + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.2%} + - asymerror: {minus: -0.4%, plus: 0.5%} + label: sys + - asymerror: {minus: -0.5%, plus: 0.7%} + label: sys + - asymerror: {minus: -0.2%, plus: 0.3%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.1%, plus: 0.2%} + label: sys + - {label: sys, symerror: 0.2%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 2.3%} + - asymerror: {minus: -28.0%, plus: 37.0%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: 0.3%, plus: -0.3%} + label: sys + - asymerror: {minus: 3.2%, plus: -2.4%} + label: sys + - asymerror: {minus: -2.7%, plus: 2.6%} + label: sys + - asymerror: {minus: -0.6%, plus: 0.8%} + label: sys + - asymerror: {minus: -2.6%, plus: 2.7%} + label: sys + - {label: sys, symerror: 5.9%} + - {label: sys, symerror: 1.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 1.8%} + - {label: sys, symerror: 0.5%} + value: 2.42 + - errors: + - {label: stat, symerror: 76.0%} + - asymerror: {minus: -1.4%, plus: 1.0%} + label: sys + - asymerror: {minus: -6.6%, plus: 6.8%} + label: sys + - {label: sys, symerror: 11.0%} + - asymerror: {minus: -1.0%, plus: 0.9%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - asymerror: {minus: -1.8%, plus: 1.6%} + label: sys + - asymerror: {minus: -1.2%, plus: 1.0%} + label: sys + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -1.4%, plus: 1.1%} + label: sys + - asymerror: {minus: -0.5%, plus: 0.2%} + label: sys + - asymerror: {minus: -0.8%, plus: 0.4%} + label: sys + - asymerror: {minus: -1.2%, plus: 0.9%} + label: sys + - asymerror: {minus: -2.9%, plus: 2.6%} + label: sys + - asymerror: {minus: -2.7%, plus: 2.4%} + label: sys + - asymerror: {minus: -0.6%, plus: 0.2%} + label: sys + - asymerror: {minus: -0.6%, plus: 0.2%} + label: sys + - asymerror: {minus: -1.1%, plus: 0.8%} + label: sys + - asymerror: {minus: -1.1%, plus: 0.8%} + label: sys + - asymerror: {minus: -1.3%, plus: 1.0%} + label: sys + - asymerror: {minus: -1.5%, plus: 1.2%} + label: sys + - asymerror: {minus: -1.5%, plus: 1.3%} + label: sys + - asymerror: {minus: -1.3%, plus: 1.0%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.3%} + - asymerror: {minus: -0.9%, plus: 0.7%} + label: sys + - asymerror: {minus: -0.9%, plus: 0.6%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.6%, plus: 0.3%} + label: sys + - asymerror: {minus: -0.8%, plus: 0.6%} + label: sys + - asymerror: {minus: -0.7%, plus: 0.4%} + label: sys + - {label: sys, symerror: 0.3%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -4.3%, plus: 4.4%} + label: sys + - asymerror: {minus: -40.0%, plus: 59.0%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - asymerror: {minus: 4.8%, plus: -5.1%} + label: sys + - asymerror: {minus: -3.7%, plus: 2.8%} + label: sys + - asymerror: {minus: -1.3%, plus: 1.1%} + label: sys + - asymerror: {minus: -3.0%, plus: 2.9%} + label: sys + - {label: sys, symerror: 4.2%} + - {label: sys, symerror: 2.4%} + - {label: sys, symerror: 0.4%} + - {label: sys, symerror: 1.8%} + - {label: sys, symerror: 0.5%} + value: 0.021 +independent_variables: +- header: {name: M(2JET), units: TEV} + values: + - {high: 2.55, low: 2.12} + - {high: 3.04, low: 2.55} + - {high: 3.93, low: 3.04} + - {high: 5.04, low: 3.93} diff --git a/buildmaster/ATLAS_2JET_7TEV_R06/rawdata/HEPData-ins1268975-v1-Table_7.yaml b/buildmaster/ATLAS_2JET_7TEV_R06/rawdata/HEPData-ins1268975-v1-Table_7.yaml new file mode 100644 index 0000000000..804acc79d0 --- /dev/null +++ b/buildmaster/ATLAS_2JET_7TEV_R06/rawdata/HEPData-ins1268975-v1-Table_7.yaml @@ -0,0 +1,5050 @@ +dependent_variables: +- header: {name: D2(SIG)/DM(2JET)/DYRAP*, units: PB*TEV*-1} + qualifiers: + - {name: ABS(YRAP(JET1)), value: < 3.0} + - {name: ABS(YRAP(JET2)), value: < 3.0} + - {name: Correlation assumptions, value: Nominal} + - {name: PT(JET1), units: GEV, value: '> 100'} + - {name: PT(JET2), units: GEV, value: '> 50'} + - {name: R, value: '0.6'} + - {name: RE, value: P P --> JET JET X} + - {name: SQRT(S), units: GeV, value: '7000.0'} + - {name: YRAP*, value: 0.0-0.5} + values: + - errors: + - {label: stat, symerror: 0.82%} + - {label: sys, symerror: 3.1%} + - {label: sys, symerror: 0.8%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.4%, plus: 0.3%} + label: sys + - {label: sys, symerror: 1.5%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - {label: sys, symerror: 0.6%} + - {label: sys, symerror: 0.1%} + - asymerror: {minus: -0.5%, plus: 0.4%} + label: sys + - {label: sys, symerror: 0.3%} + - {label: sys, symerror: 1.0%} + - {label: sys, symerror: 0.6%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.2%} + - {label: sys, symerror: 0.3%} + - {label: sys, symerror: 0.4%} + - asymerror: {minus: -0.4%, plus: 0.3%} + label: sys + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.5%} + - asymerror: {minus: -3.6%, plus: 3.9%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: 0.5%, plus: -0.4%} + label: sys + - asymerror: {minus: 1.5%, plus: -1.3%} + label: sys + - asymerror: {minus: -2.3%, plus: 2.9%} + label: sys + - {label: sys, symerror: 0.4%} + - asymerror: {minus: -5.1%, plus: 5.5%} + label: sys + - {label: sys, symerror: 2.0%} + - {label: sys, symerror: 0.2%} + - {label: sys, symerror: 0.3%} + - {label: sys, symerror: 1.8%} + - {label: sys, symerror: 0.5%} + value: 1070000.0 + - errors: + - {label: stat, symerror: 0.79%} + - {label: sys, symerror: 3.2%} + - {label: sys, symerror: 0.6%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.3%} + - asymerror: {minus: -1.2%, plus: 1.3%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.5%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.4%} + - {label: sys, symerror: 0.3%} + - {label: sys, symerror: 0.9%} + - {label: sys, symerror: 0.5%} + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.2%} + - {label: sys, symerror: 0.3%} + - asymerror: {minus: -0.4%, plus: 0.3%} + label: sys + - asymerror: {minus: -0.2%, plus: 0.3%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.4%} + - asymerror: {minus: -3.4%, plus: 3.7%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: 0.5%, plus: -0.4%} + label: sys + - asymerror: {minus: 1.2%, plus: -1.1%} + label: sys + - asymerror: {minus: -2.0%, plus: 2.4%} + label: sys + - {label: sys, symerror: 0.3%} + - asymerror: {minus: -4.8%, plus: 5.1%} + label: sys + - {label: sys, symerror: 1.5%} + - {label: sys, symerror: 0.2%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 1.8%} + - {label: sys, symerror: 0.5%} + value: 406000.0 + - errors: + - {label: stat, symerror: 0.79%} + - {label: sys, symerror: 3.4%} + - {label: sys, symerror: 0.5%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.3%, plus: 0.2%} + label: sys + - asymerror: {minus: -1.0%, plus: 1.1%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.4%, plus: 0.5%} + label: sys + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.3%} + - {label: sys, symerror: 0.3%} + - asymerror: {minus: -0.8%, plus: 0.9%} + label: sys + - asymerror: {minus: -0.5%, plus: 0.6%} + label: sys + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.2%} + - {label: sys, symerror: 0.3%} + - asymerror: {minus: -0.3%, plus: 0.4%} + label: sys + - asymerror: {minus: 0.0%, plus: 0.1%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.4%} + - asymerror: {minus: -3.1%, plus: 3.4%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: 0.5%, plus: -0.5%} + label: sys + - asymerror: {minus: 1.0%, plus: -1.0%} + label: sys + - asymerror: {minus: -1.9%, plus: 2.0%} + label: sys + - {label: sys, symerror: 0.3%} + - asymerror: {minus: -4.3%, plus: 4.5%} + label: sys + - {label: sys, symerror: 1.0%} + - {label: sys, symerror: 0.2%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 1.8%} + - {label: sys, symerror: 0.5%} + value: 152000.0 + - errors: + - {label: stat, symerror: 0.81%} + - asymerror: {minus: -3.5%, plus: 3.7%} + label: sys + - asymerror: {minus: -0.4%, plus: 0.5%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.2%} + - {label: sys, symerror: 0.9%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.4%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.3%} + - {label: sys, symerror: 0.3%} + - asymerror: {minus: -0.8%, plus: 0.9%} + label: sys + - {label: sys, symerror: 0.6%} + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - {label: sys, symerror: 0.1%} + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - asymerror: {minus: -0.2%, plus: 0.1%} + label: sys + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.2%} + - {label: sys, symerror: 0.2%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.2%} + - asymerror: {minus: -0.3%, plus: 0.4%} + label: sys + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.3%} + - asymerror: {minus: -2.8%, plus: 3.0%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: 0.5%, plus: -0.5%} + label: sys + - asymerror: {minus: 1.0%, plus: -0.9%} + label: sys + - asymerror: {minus: -1.9%, plus: 1.8%} + label: sys + - {label: sys, symerror: 0.3%} + - asymerror: {minus: -3.8%, plus: 4.0%} + label: sys + - {label: sys, symerror: 0.8%} + - {label: sys, symerror: 0.2%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 1.8%} + - {label: sys, symerror: 0.5%} + value: 60600.0 + - errors: + - {label: stat, symerror: 0.78%} + - asymerror: {minus: -3.7%, plus: 3.8%} + label: sys + - {label: sys, symerror: 0.3%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.2%} + - asymerror: {minus: -0.7%, plus: 0.8%} + label: sys + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.4%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.2%} + - {label: sys, symerror: 0.3%} + - {label: sys, symerror: 0.8%} + - asymerror: {minus: -0.6%, plus: 0.7%} + label: sys + - {label: sys, symerror: 0.1%} + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.2%} + - asymerror: {minus: -0.1%, plus: 0.2%} + label: sys + - {label: sys, symerror: 0.3%} + - {label: sys, symerror: 0.2%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.2%} + - {label: sys, symerror: 0.3%} + - {label: sys, symerror: 0.2%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - {label: sys, symerror: 0.1%} + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.3%} + - asymerror: {minus: -2.5%, plus: 2.6%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: 0.5%, plus: -0.5%} + label: sys + - asymerror: {minus: 0.9%, plus: -1.0%} + label: sys + - asymerror: {minus: -1.9%, plus: 1.8%} + label: sys + - {label: sys, symerror: 0.2%} + - asymerror: {minus: -3.4%, plus: 3.5%} + label: sys + - {label: sys, symerror: 0.7%} + - {label: sys, symerror: 0.2%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 1.8%} + - {label: sys, symerror: 0.5%} + value: 25700.0 + - errors: + - {label: stat, symerror: 0.61%} + - asymerror: {minus: -3.9%, plus: 4.0%} + label: sys + - {label: sys, symerror: 0.3%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.6%} + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.4%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.2%} + - {label: sys, symerror: 0.3%} + - {label: sys, symerror: 0.8%} + - {label: sys, symerror: 0.7%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.2%} + - {label: sys, symerror: 0.2%} + - {label: sys, symerror: 0.3%} + - asymerror: {minus: -0.2%, plus: 0.3%} + label: sys + - {label: sys, symerror: 0.3%} + - {label: sys, symerror: 0.2%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.2%} + - {label: sys, symerror: 0.2%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - {label: sys, symerror: 0.2%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - 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plus: 0.1%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.5%} + - asymerror: {minus: 0.0%, plus: 0.1%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.9%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.9%} + - {label: sys, symerror: 0.8%} + - asymerror: {minus: -2.3%, plus: 2.4%} + label: sys + - asymerror: {minus: -0.3%, plus: 0.2%} + label: sys + - {label: sys, symerror: 1.7%} + - {label: sys, symerror: 2.6%} + - asymerror: {minus: -5.4%, plus: 5.6%} + label: sys + - asymerror: {minus: -2.9%, plus: 3.0%} + label: sys + - asymerror: {minus: -2.2%, plus: 2.3%} + label: sys + - asymerror: {minus: -9.8%, plus: 11.0%} + label: sys + - {label: sys, symerror: 2.2%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.2%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.2%, plus: 0.1%} + label: sys + - 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symerror: 3.1%} + - asymerror: {minus: -2.1%, plus: 2.2%} + label: sys + - {label: sys, symerror: 1.1%} + - {label: sys, symerror: 0.7%} + - {label: sys, symerror: 0.8%} + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 1.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.2%} + - {label: sys, symerror: 0.3%} + - {label: sys, symerror: 0.4%} + - asymerror: {minus: -0.4%, plus: 0.3%} + label: sys + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - asymerror: {minus: 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0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.2%} + - {label: sys, symerror: 0.6%} + - {label: sys, symerror: 0.3%} + - {label: sys, symerror: 1.3%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.5%} + - {label: sys, symerror: 0.4%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.4%} + - {label: sys, symerror: 0.4%} + - asymerror: {minus: 0.1%, plus: -0.1%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 1.0%} + - {label: sys, symerror: 0.3%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 1.8%} + - {label: sys, symerror: 0.5%} + value: 7.05 + - errors: + - {label: stat, symerror: 3.0%} + - asymerror: {minus: -5.7%, plus: 5.9%} + label: sys + - asymerror: {minus: -5.4%, plus: 5.6%} + label: sys + - {label: sys, symerror: 1.8%} + - {label: sys, symerror: 1.6%} + - {label: sys, symerror: 0.2%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.6%} + - {label: sys, symerror: 1.6%} + - {label: sys, symerror: 1.7%} + - {label: sys, symerror: 1.4%} + - asymerror: {minus: -6.1%, plus: 6.2%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.1%} + - asymerror: {minus: -0.1%, plus: 0.2%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.2%} + - {label: sys, symerror: 0.7%} + - asymerror: {minus: -0.3%, plus: 0.4%} + label: sys + - {label: sys, symerror: 1.3%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - asymerror: {minus: -0.5%, plus: 0.6%} + label: sys + - {label: sys, symerror: 0.5%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.5%} + - asymerror: {minus: -0.3%, plus: 0.4%} + label: sys + - asymerror: {minus: 0.9%, plus: -0.9%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - {label: sys, symerror: 1.0%} + - {label: sys, symerror: 0.4%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 1.8%} + - {label: sys, symerror: 0.5%} + value: 3.23 + - errors: + - {label: stat, symerror: 4.1%} + - asymerror: {minus: -5.8%, plus: 6.1%} + label: sys + - asymerror: {minus: -6.0%, plus: 6.2%} + label: sys + - {label: sys, symerror: 2.0%} + - {label: sys, symerror: 1.7%} + - {label: sys, symerror: 0.2%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - asymerror: {minus: -0.6%, plus: 0.7%} + label: sys + - {label: sys, symerror: 1.7%} + - {label: sys, symerror: 1.9%} + - {label: sys, symerror: 1.5%} + - asymerror: {minus: -6.7%, plus: 7.0%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.1%, plus: 0.2%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.2%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.2%} + - asymerror: {minus: -0.7%, plus: 0.8%} + label: sys + - {label: sys, symerror: 0.4%} + - {label: sys, symerror: 1.4%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.6%} + - {label: sys, symerror: 0.6%} + - asymerror: {minus: -0.1%, plus: 0.2%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.6%} + - {label: sys, symerror: 0.3%} + - asymerror: {minus: 1.6%, plus: -1.5%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.9%} + - {label: sys, symerror: 0.4%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 1.8%} + - {label: sys, symerror: 0.5%} + value: 1.44 + - errors: + - {label: stat, symerror: 5.8%} + - asymerror: {minus: -6.0%, plus: 6.3%} + label: sys + - asymerror: {minus: -6.4%, plus: 6.8%} + label: sys + - {label: sys, symerror: 2.1%} + - {label: sys, symerror: 1.8%} + - {label: sys, symerror: 0.2%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - asymerror: {minus: -0.6%, plus: 0.7%} + label: sys + - {label: sys, symerror: 1.9%} + - {label: sys, symerror: 2.1%} + - {label: sys, symerror: 1.6%} + - asymerror: {minus: -7.2%, plus: 7.6%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.1%, plus: 0.2%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.2%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.2%} + - {label: sys, symerror: 0.8%} + - {label: sys, symerror: 0.4%} + - {label: sys, symerror: 1.4%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - asymerror: {minus: -0.6%, plus: 0.7%} + label: sys + - asymerror: {minus: -0.6%, plus: 0.7%} + label: sys + - {label: sys, symerror: 0.2%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.6%, plus: 0.7%} + label: sys + - {label: sys, symerror: 0.3%} + - {label: sys, symerror: 0.7%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.9%} + - {label: sys, symerror: 0.4%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 1.8%} + - {label: sys, symerror: 0.5%} + value: 0.681 + - errors: + - {label: stat, symerror: 9.0%} + - asymerror: {minus: -6.2%, plus: 6.5%} + label: sys + - asymerror: {minus: -6.8%, plus: 7.2%} + label: sys + - {label: sys, symerror: 2.2%} + - asymerror: {minus: -1.8%, plus: 1.9%} + label: sys + - {label: sys, symerror: 0.2%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - asymerror: {minus: -0.6%, plus: 0.7%} + label: sys + - {label: sys, symerror: 2.0%} + - {label: sys, symerror: 2.2%} + - {label: sys, symerror: 1.7%} + - asymerror: {minus: -7.6%, plus: 8.1%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.1%, plus: 0.2%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.2%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.2%} + - {label: sys, symerror: 0.8%} + - asymerror: {minus: -0.4%, plus: 0.5%} + label: sys + - {label: sys, symerror: 1.4%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.7%} + - {label: sys, symerror: 0.7%} + - {label: sys, symerror: 0.2%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.7%, plus: 0.8%} + label: sys + - {label: sys, symerror: 0.2%} + - asymerror: {minus: -6.4%, plus: 5.3%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.8%, plus: 0.9%} + label: sys + - {label: sys, symerror: 0.5%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 1.8%} + - {label: sys, symerror: 0.5%} + value: 0.279 + - errors: + - {label: stat, symerror: 12.0%} + - asymerror: {minus: -7.7%, plus: 8.1%} + label: sys + - asymerror: {minus: -8.8%, plus: 9.3%} + label: sys + - asymerror: {minus: -2.8%, plus: 2.9%} + label: sys + - {label: sys, symerror: 2.4%} + - {label: sys, symerror: 0.3%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.8%} + - {label: sys, symerror: 2.6%} + - asymerror: {minus: -2.9%, plus: 3.0%} + label: sys + - asymerror: {minus: -2.2%, plus: 2.3%} + label: sys + - asymerror: {minus: -9.8%, plus: 11.0%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.2%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.2%, plus: 0.1%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.3%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.3%, plus: 0.2%} + label: sys + - {label: sys, symerror: 1.0%} + - {label: sys, symerror: 0.6%} + - {label: sys, symerror: 1.8%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.9%} + - {label: sys, symerror: 1.0%} + - asymerror: {minus: -0.3%, plus: 0.2%} + label: sys + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -1.6%, plus: 1.7%} + label: sys + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 20.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.7%} + - {label: sys, symerror: 0.8%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 1.8%} + - {label: sys, symerror: 0.5%} + value: 0.0252 +- header: {name: D2(SIG)/DM(2JET)/DYRAP*, units: PB*TEV*-1} + qualifiers: + - {name: ABS(YRAP(JET1)), value: < 3.0} + - {name: ABS(YRAP(JET2)), value: < 3.0} + - {name: Correlation assumptions, value: Weaker} + - {name: PT(JET1), units: GEV, value: '> 100'} + - {name: PT(JET2), units: GEV, value: '> 50'} + - {name: R, value: '0.6'} + - {name: RE, value: P P --> JET JET X} + - {name: SQRT(S), units: GeV, value: '7000.0'} + - {name: YRAP*, value: 0.0-0.5} + values: + - errors: + - {label: stat, symerror: 0.82%} + - asymerror: {minus: -0.9%, plus: 0.8%} + label: sys + - {label: sys, symerror: 1.0%} + - {label: sys, symerror: 2.5%} + - {label: sys, symerror: 0.8%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.4%, plus: 0.3%} + label: sys + - {label: sys, symerror: 1.5%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - {label: sys, symerror: 0.6%} + - {label: sys, symerror: 0.1%} + - asymerror: {minus: -0.5%, plus: 0.4%} + label: sys + - {label: sys, symerror: 0.3%} + - {label: sys, symerror: 1.0%} + - {label: sys, symerror: 0.6%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - 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symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.2%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.4%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.1%} + - asymerror: {minus: -0.4%, plus: 0.3%} + label: sys + - {label: sys, symerror: 0.7%} + - {label: sys, symerror: 1.3%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.4%} + - {label: sys, symerror: 0.8%} + - {label: sys, symerror: 1.3%} + - asymerror: {minus: -0.7%, plus: 0.6%} + label: sys + - {label: sys, symerror: 0.8%} + - {label: sys, symerror: 2.5%} + - asymerror: {minus: -0.8%, plus: 0.7%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - {label: sys, symerror: 0.1%} + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.2%} + - {label: sys, symerror: 0.5%} + - {label: sys, symerror: 0.3%} + - {label: sys, symerror: 0.8%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - asymerror: {minus: -0.2%, plus: 0.1%} + label: sys + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.3%} + - {label: sys, symerror: 0.7%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: 0.0%, plus: -0.1%} + label: sys + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 1.3%} + - {label: sys, symerror: 0.3%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 1.8%} + - {label: sys, symerror: 0.5%} + value: 65.6 + - errors: + - {label: stat, symerror: 1.1%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 3.1%} + - asymerror: {minus: -4.2%, plus: 4.3%} + label: sys + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.2%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.4%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.4%} + - {label: sys, symerror: 0.7%} + - {label: sys, symerror: 1.4%} + - {label: sys, symerror: 0.1%} + - asymerror: {minus: -0.6%, plus: 0.5%} + label: sys + - {label: sys, symerror: 1.0%} + - {label: sys, symerror: 1.8%} + - {label: sys, symerror: 0.9%} + - {label: sys, symerror: 0.9%} + - {label: sys, symerror: 3.4%} + - {label: sys, symerror: 0.9%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - {label: sys, symerror: 0.1%} + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - {label: sys, symerror: 0.2%} + - {label: sys, symerror: 0.5%} + - {label: sys, symerror: 0.3%} + - asymerror: {minus: -1.1%, plus: 1.0%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - asymerror: {minus: -0.3%, plus: 0.2%} + label: sys + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.3%} + - {label: sys, symerror: 0.6%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 1.2%} + - {label: sys, symerror: 0.4%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 1.8%} + - {label: sys, symerror: 0.5%} + value: 31.9 + - errors: + - {label: stat, symerror: 1.5%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 3.2%} + - {label: sys, symerror: 4.4%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.2%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.5%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.5%} + - {label: sys, symerror: 0.7%} + - {label: sys, symerror: 1.5%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.7%} + - {label: sys, symerror: 1.2%} + - {label: sys, symerror: 2.3%} + - asymerror: {minus: -1.2%, plus: 1.1%} + label: sys + - {label: sys, symerror: 1.1%} + - asymerror: {minus: -4.4%, plus: 4.3%} + label: sys + - {label: sys, symerror: 1.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - {label: sys, symerror: 0.1%} + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - {label: sys, symerror: 0.1%} + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - {label: sys, symerror: 0.2%} + - {label: sys, symerror: 0.6%} + - {label: sys, symerror: 0.3%} + - {label: sys, symerror: 1.2%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - asymerror: {minus: -0.4%, plus: 0.3%} + label: sys + - {label: sys, symerror: 0.2%} + - asymerror: {minus: 0.0%, plus: 0.1%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.4%} + - {label: sys, symerror: 0.5%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 1.1%} + - {label: sys, symerror: 0.3%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 1.8%} + - {label: sys, symerror: 0.5%} + value: 14.9 + - errors: + - {label: stat, symerror: 2.1%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 3.3%} + - asymerror: {minus: -4.5%, plus: 4.6%} + label: sys + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.3%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.5%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.5%} + - asymerror: {minus: -0.7%, plus: 0.6%} + label: sys + - asymerror: {minus: -1.6%, plus: 1.5%} + label: sys + - {label: sys, symerror: 0.1%} + - asymerror: {minus: -0.9%, plus: 0.8%} + label: sys + - {label: sys, symerror: 1.4%} + - {label: sys, symerror: 2.8%} + - asymerror: {minus: -1.5%, plus: 1.4%} + label: sys + - {label: sys, symerror: 1.2%} + - {label: sys, symerror: 5.3%} + - {label: sys, symerror: 1.2%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.2%} + - {label: sys, symerror: 0.6%} + - {label: sys, symerror: 0.3%} + - {label: sys, symerror: 1.3%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.5%} + - {label: sys, symerror: 0.4%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.4%} + - {label: sys, symerror: 0.4%} + - asymerror: {minus: 0.1%, plus: -0.1%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 1.0%} + - {label: sys, symerror: 0.3%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 1.8%} + - {label: sys, symerror: 0.5%} + value: 7.05 + - errors: + - {label: stat, symerror: 3.0%} + - {label: sys, symerror: 0.1%} + - asymerror: {minus: -3.4%, plus: 3.5%} + label: sys + - asymerror: {minus: -4.6%, plus: 4.7%} + label: sys + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.3%} + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.6%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.6%} + - {label: sys, symerror: 0.6%} + - {label: sys, symerror: 1.6%} + - asymerror: {minus: -0.1%, plus: 0.2%} + label: sys + - {label: sys, symerror: 1.0%} + - {label: sys, symerror: 1.6%} + - {label: sys, symerror: 3.3%} + - {label: sys, symerror: 1.7%} + - {label: sys, symerror: 1.4%} + - asymerror: {minus: -6.1%, plus: 6.2%} + label: sys + - {label: sys, symerror: 1.4%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.1%} + - asymerror: {minus: -0.1%, plus: 0.2%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.2%} + - {label: sys, symerror: 0.7%} + - asymerror: {minus: -0.3%, plus: 0.4%} + label: sys + - {label: sys, symerror: 1.3%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - asymerror: {minus: -0.5%, plus: 0.6%} + label: sys + - {label: sys, symerror: 0.5%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.5%} + - asymerror: {minus: -0.3%, plus: 0.4%} + label: sys + - asymerror: {minus: 0.9%, plus: -0.9%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - {label: sys, symerror: 1.0%} + - {label: sys, symerror: 0.4%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 1.8%} + - {label: sys, symerror: 0.5%} + value: 3.23 + - errors: + - {label: stat, symerror: 4.1%} + - {label: sys, symerror: 0.1%} + - asymerror: {minus: -3.5%, plus: 3.6%} + label: sys + - asymerror: {minus: -4.7%, plus: 4.9%} + label: sys + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.3%} + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.6%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.6%} + - asymerror: {minus: -0.6%, plus: 0.7%} + label: sys + - {label: sys, symerror: 1.7%} + - {label: sys, symerror: 0.2%} + - {label: sys, symerror: 1.1%} + - {label: sys, symerror: 1.7%} + - {label: sys, symerror: 3.7%} + - {label: sys, symerror: 1.9%} + - {label: sys, symerror: 1.5%} + - asymerror: {minus: -6.7%, plus: 7.0%} + label: sys + - {label: sys, symerror: 1.5%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.1%, plus: 0.2%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.2%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.2%} + - asymerror: {minus: -0.7%, plus: 0.8%} + label: sys + - {label: sys, symerror: 0.4%} + - {label: sys, symerror: 1.4%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.6%} + - {label: sys, symerror: 0.6%} + - asymerror: {minus: -0.1%, plus: 0.2%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.6%} + - {label: sys, symerror: 0.3%} + - asymerror: {minus: 1.6%, plus: -1.5%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.9%} + - {label: sys, symerror: 0.4%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 1.8%} + - {label: sys, symerror: 0.5%} + value: 1.44 + - errors: + - {label: stat, symerror: 5.8%} + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - asymerror: {minus: -3.6%, plus: 3.7%} + label: sys + - asymerror: {minus: -4.8%, plus: 5.0%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - asymerror: {minus: -0.3%, plus: 0.4%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.6%, plus: 0.7%} + label: sys + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.1%} + - asymerror: {minus: -0.6%, plus: 0.7%} + label: sys + - asymerror: {minus: -0.6%, plus: 0.7%} + label: sys + - {label: sys, symerror: 1.8%} + - {label: sys, symerror: 0.2%} + - {label: sys, symerror: 1.2%} + - {label: sys, symerror: 1.9%} + - asymerror: {minus: -4.0%, plus: 4.1%} + label: sys + - {label: sys, symerror: 2.1%} + - {label: sys, symerror: 1.6%} + - asymerror: {minus: -7.2%, plus: 7.6%} + label: sys + - {label: sys, symerror: 1.6%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.1%, plus: 0.2%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.2%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.2%} + - {label: sys, symerror: 0.8%} + - {label: sys, symerror: 0.4%} + - {label: sys, symerror: 1.4%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - asymerror: {minus: -0.6%, plus: 0.7%} + label: sys + - asymerror: {minus: -0.6%, plus: 0.7%} + label: sys + - {label: sys, symerror: 0.2%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.6%, plus: 0.7%} + label: sys + - {label: sys, symerror: 0.3%} + - {label: sys, symerror: 0.7%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.9%} + - {label: sys, symerror: 0.4%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 1.8%} + - {label: sys, symerror: 0.5%} + value: 0.681 + - errors: + - {label: stat, symerror: 9.0%} + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - asymerror: {minus: -3.7%, plus: 3.8%} + label: sys + - asymerror: {minus: -5.0%, plus: 5.2%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - asymerror: {minus: -0.3%, plus: 0.4%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.7%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.7%} + - asymerror: {minus: -0.6%, plus: 0.7%} + label: sys + - asymerror: {minus: -1.8%, plus: 1.9%} + label: sys + - {label: sys, symerror: 0.2%} + - asymerror: {minus: -1.2%, plus: 1.3%} + label: sys + - {label: sys, symerror: 2.0%} + - asymerror: {minus: -4.2%, plus: 4.3%} + label: sys + - {label: sys, symerror: 2.2%} + - {label: sys, symerror: 1.7%} + - asymerror: {minus: -7.6%, plus: 8.1%} + label: sys + - asymerror: {minus: -1.6%, plus: 1.7%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.1%, plus: 0.2%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.2%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.2%} + - {label: sys, symerror: 0.8%} + - asymerror: {minus: -0.4%, plus: 0.5%} + label: sys + - {label: sys, symerror: 1.4%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.7%} + - {label: sys, symerror: 0.7%} + - {label: sys, symerror: 0.2%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.7%, plus: 0.8%} + label: sys + - {label: sys, symerror: 0.2%} + - asymerror: {minus: -6.4%, plus: 5.3%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.8%, plus: 0.9%} + label: sys + - {label: sys, symerror: 0.5%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 1.8%} + - {label: sys, symerror: 0.5%} + value: 0.279 + - errors: + - {label: stat, symerror: 12.0%} + - asymerror: {minus: 0.0%, plus: 0.1%} + label: sys + - asymerror: {minus: -4.6%, plus: 4.8%} + label: sys + - asymerror: {minus: -6.1%, plus: 6.4%} + label: sys + - asymerror: {minus: 0.0%, plus: 0.1%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.5%} + - asymerror: {minus: 0.0%, plus: 0.1%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.9%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.9%} + - {label: sys, symerror: 0.8%} + - asymerror: {minus: -2.3%, plus: 2.4%} + label: sys + - asymerror: {minus: -0.3%, plus: 0.2%} + label: sys + - {label: sys, symerror: 1.7%} + - {label: sys, symerror: 2.6%} + - asymerror: {minus: -5.4%, plus: 5.6%} + label: sys + - asymerror: {minus: -2.9%, plus: 3.0%} + label: sys + - asymerror: {minus: -2.2%, plus: 2.3%} + label: sys + - asymerror: {minus: -9.8%, plus: 11.0%} + label: sys + - {label: sys, symerror: 2.2%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.2%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.2%, plus: 0.1%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.3%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.3%, plus: 0.2%} + label: sys + - {label: sys, symerror: 1.0%} + - {label: sys, symerror: 0.6%} + - {label: sys, symerror: 1.8%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.9%} + - {label: sys, symerror: 1.0%} + - asymerror: {minus: -0.3%, plus: 0.2%} + label: sys + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -1.6%, plus: 1.7%} + label: sys + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 20.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.7%} + - {label: sys, symerror: 0.8%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 1.8%} + - {label: sys, symerror: 0.5%} + value: 0.0252 +independent_variables: +- header: {name: M(2JET), units: TEV} + values: + - {high: 0.31, low: 0.26} + - {high: 0.37, low: 0.31} + - {high: 0.44, low: 0.37} + - {high: 0.51, low: 0.44} + - {high: 0.59, low: 0.51} + - {high: 0.67, low: 0.59} + - {high: 0.76, low: 0.67} + - {high: 0.85, low: 0.76} + - {high: 0.95, low: 0.85} + - {high: 1.06, low: 0.95} + - {high: 1.18, low: 1.06} + - {high: 1.31, low: 1.18} + - {high: 1.45, low: 1.31} + - {high: 1.6, low: 1.45} + - {high: 1.76, low: 1.6} + - {high: 1.94, low: 1.76} + - {high: 2.12, low: 1.94} + - {high: 2.33, low: 2.12} + - {high: 2.55, low: 2.33} + - {high: 2.78, low: 2.55} + - {high: 4.27, low: 2.78} diff --git a/buildmaster/ATLAS_2JET_7TEV_R06/rawdata/HEPData-ins1268975-v1-Table_8.yaml b/buildmaster/ATLAS_2JET_7TEV_R06/rawdata/HEPData-ins1268975-v1-Table_8.yaml new file mode 100644 index 0000000000..f38c264df7 --- /dev/null +++ b/buildmaster/ATLAS_2JET_7TEV_R06/rawdata/HEPData-ins1268975-v1-Table_8.yaml @@ -0,0 +1,5212 @@ +dependent_variables: +- header: {name: D2(SIG)/DM(2JET)/DYRAP*, units: PB*TEV*-1} + qualifiers: + - {name: ABS(YRAP(JET1)), value: < 3.0} + - {name: ABS(YRAP(JET2)), value: < 3.0} + - {name: Correlation assumptions, value: Nominal} + - {name: PT(JET1), units: GEV, value: '> 100'} + - {name: PT(JET2), units: GEV, value: '> 50'} + - {name: R, value: '0.6'} + - {name: RE, value: P P --> JET JET X} + - {name: SQRT(S), units: GeV, value: '7000.0'} + - {name: YRAP*, value: 0.5-1.0} + values: + - errors: + - {label: stat, symerror: 1.1%} + - asymerror: {minus: -3.1%, plus: 3.3%} + label: sys + - {label: sys, symerror: 0.8%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.3%, plus: 0.4%} + label: sys + - asymerror: {minus: -1.6%, plus: 1.7%} + label: sys + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - {label: sys, symerror: 0.6%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.4%} + - asymerror: {minus: -0.3%, plus: 0.4%} + label: sys + - {label: sys, symerror: 1.0%} + - {label: sys, symerror: 0.6%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.2%} + - {label: sys, symerror: 0.3%} + - {label: sys, symerror: 0.4%} + - asymerror: {minus: -0.3%, plus: 0.4%} + label: sys + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - {label: sys, symerror: 0.0%} + - asymerror: {minus: 0.0%, plus: 0.1%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.5%} + - asymerror: {minus: -4.4%, plus: 4.8%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: 0.5%, plus: -0.6%} + label: sys + - asymerror: {minus: 1.4%, plus: -1.2%} + label: sys + - asymerror: {minus: -2.4%, plus: 2.6%} + label: sys + - asymerror: {minus: -0.4%, plus: 0.5%} + label: sys + - asymerror: {minus: -5.2%, plus: 5.8%} + label: sys + - {label: sys, symerror: 2.5%} + - {label: sys, symerror: 0.3%} + - {label: sys, symerror: 0.4%} + - {label: sys, symerror: 1.8%} + - {label: sys, symerror: 0.5%} + value: 961000.0 + - errors: + - {label: stat, symerror: 1.0%} + - asymerror: {minus: -3.2%, plus: 3.5%} + label: sys + - {label: sys, symerror: 0.7%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.3%, plus: 0.4%} + label: sys + - {label: sys, symerror: 1.5%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.6%, plus: 0.5%} + label: sys + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.4%} + - {label: sys, symerror: 0.3%} + - {label: sys, symerror: 1.0%} + - {label: sys, symerror: 0.6%} + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.2%} + - asymerror: {minus: -0.3%, plus: 0.4%} + label: sys + - asymerror: {minus: -0.3%, plus: 0.4%} + label: sys + - asymerror: {minus: -0.1%, plus: 0.2%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: 0.0%, plus: 0.1%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, 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plus: 0.0%} + label: sys + - {label: sys, symerror: 0.0%} + - asymerror: {minus: 0.0%, plus: 0.1%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.5%} + - asymerror: {minus: -4.4%, plus: 4.8%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: 0.3%, plus: -0.6%} + label: sys + - asymerror: {minus: 1.3%, plus: -1.2%} + label: sys + - asymerror: {minus: -2.4%, plus: 2.6%} + label: sys + - asymerror: {minus: -0.4%, plus: 0.5%} + label: sys + - asymerror: {minus: -5.2%, plus: 5.8%} + label: sys + - {label: sys, symerror: 2.5%} + - {label: sys, symerror: 0.3%} + - {label: sys, symerror: 0.4%} + - {label: sys, symerror: 1.8%} + - {label: sys, symerror: 0.5%} + value: 961000.0 + - errors: + - {label: stat, symerror: 1.0%} + - asymerror: {minus: -3.2%, plus: 3.5%} + label: sys + - {label: sys, symerror: 2.1%} + - asymerror: {minus: -1.1%, plus: 1.2%} + label: sys + - asymerror: {minus: -0.7%, plus: 0.6%} + label: sys + - {label: sys, symerror: 0.8%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 1.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 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{label: sys, symerror: 0.5%} + value: 0.544 + - errors: + - {label: stat, symerror: 10.0%} + - asymerror: {minus: -6.7%, plus: 7.1%} + label: sys + - asymerror: {minus: -6.7%, plus: 7.1%} + label: sys + - {label: sys, symerror: 2.2%} + - asymerror: {minus: -1.9%, plus: 2.0%} + label: sys + - {label: sys, symerror: 0.2%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.7%} + - asymerror: {minus: -1.9%, plus: 2.0%} + label: sys + - asymerror: {minus: -2.1%, plus: 2.2%} + label: sys + - {label: sys, symerror: 1.7%} + - asymerror: {minus: -7.5%, plus: 8.0%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.2%} + - {label: sys, symerror: 0.0%} + - {label: sys, 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label: sys + - {label: sys, symerror: 0.3%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -1.4%, plus: 1.5%} + label: sys + - asymerror: {minus: -1.1%, plus: 1.3%} + label: sys + - asymerror: {minus: -8.8%, plus: 8.6%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -1.1%, plus: 1.3%} + label: sys + - {label: sys, symerror: 1.9%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 1.1%} + - {label: sys, symerror: 1.8%} + - {label: sys, symerror: 0.5%} + value: 0.0211 +- header: {name: D2(SIG)/DM(2JET)/DYRAP*, units: PB*TEV*-1} + qualifiers: + - {name: ABS(YRAP(JET1)), value: < 3.0} + - {name: ABS(YRAP(JET2)), value: < 3.0} + - {name: Correlation assumptions, value: Weaker} + - {name: PT(JET1), units: GEV, value: '> 100'} + - {name: PT(JET2), units: GEV, value: '> 50'} + - {name: R, value: '0.6'} + - {name: RE, value: P P --> JET JET X} + - {name: SQRT(S), units: GeV, value: '7000.0'} + - {name: YRAP*, value: 0.5-1.0} + values: + - errors: + - {label: stat, symerror: 1.1%} + - asymerror: {minus: -0.8%, plus: 0.9%} + label: sys + - {label: sys, symerror: 1.0%} + - asymerror: {minus: -2.5%, plus: 2.7%} + label: sys + - {label: sys, symerror: 0.8%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.3%, plus: 0.4%} + label: sys + - asymerror: {minus: -1.6%, plus: 1.7%} + label: sys + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - {label: sys, symerror: 0.6%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.4%} + - asymerror: {minus: -0.3%, plus: 0.4%} + label: sys + - {label: sys, symerror: 1.0%} + - {label: sys, symerror: 0.6%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, 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0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - asymerror: {minus: -0.9%, plus: 1.0%} + label: sys + - {label: sys, symerror: 0.8%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 1.8%} + - {label: sys, symerror: 0.5%} + value: 1.29 + - errors: + - {label: stat, symerror: 6.4%} + - {label: sys, symerror: 0.1%} + - asymerror: {minus: -3.9%, plus: 4.0%} + label: sys + - asymerror: {minus: -5.2%, plus: 5.5%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.3%} + - asymerror: {minus: 0.0%, plus: 0.1%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.6%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.6%} + - {label: sys, symerror: 0.7%} + - asymerror: {minus: -1.8%, plus: 1.9%} + label: sys + - {label: sys, symerror: 0.2%} + - asymerror: {minus: -1.1%, plus: 1.2%} + label: sys + - {label: sys, symerror: 1.8%} + - asymerror: {minus: -3.7%, plus: 3.8%} + label: sys + - {label: sys, symerror: 1.9%} + - asymerror: {minus: -1.5%, plus: 1.6%} + label: sys + - asymerror: {minus: -6.8%, plus: 7.2%} + label: sys + - asymerror: {minus: -1.5%, plus: 1.6%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.2%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.2%} + - {label: sys, symerror: 0.8%} + - {label: sys, symerror: 0.4%} + - asymerror: {minus: -1.5%, plus: 1.6%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.6%} + - {label: sys, symerror: 0.5%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.7%} + - asymerror: {minus: -1.3%, plus: 1.4%} + label: sys + - asymerror: {minus: 0.6%, plus: -0.6%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - asymerror: {minus: -0.9%, plus: 1.0%} + label: sys + - {label: sys, symerror: 0.9%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 1.8%} + - {label: sys, symerror: 0.5%} + value: 0.544 + - errors: + - {label: stat, symerror: 10.0%} + - {label: sys, symerror: 0.1%} + - asymerror: {minus: -4.0%, plus: 4.1%} + label: sys + - asymerror: {minus: -5.4%, plus: 5.7%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.3%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.7%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.7%} + - {label: sys, symerror: 0.7%} + - asymerror: {minus: -1.9%, plus: 2.0%} + label: sys + - {label: sys, symerror: 0.2%} + - asymerror: {minus: -1.2%, plus: 1.3%} + label: sys + - asymerror: {minus: -1.9%, plus: 2.0%} + label: sys + - asymerror: {minus: -4.1%, plus: 4.2%} + label: sys + - asymerror: {minus: -2.1%, plus: 2.2%} + label: sys + - {label: sys, symerror: 1.7%} + - asymerror: {minus: -7.5%, plus: 8.0%} + label: sys + - asymerror: {minus: -1.6%, plus: 1.7%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.2%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.2%} + - {label: sys, symerror: 0.8%} + - {label: sys, symerror: 0.4%} + - asymerror: {minus: -1.5%, plus: 1.6%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.7%} + - {label: sys, symerror: 0.6%} + - {label: sys, symerror: 0.2%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.8%} + - asymerror: {minus: -1.2%, plus: 1.3%} + label: sys + - asymerror: {minus: -0.9%, plus: 0.5%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 1.0%} + - {label: sys, symerror: 0.9%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.6%} + - {label: sys, symerror: 1.8%} + - {label: sys, symerror: 0.5%} + value: 0.18 + - errors: + - {label: stat, symerror: 15.0%} + - {label: sys, symerror: 0.1%} + - asymerror: {minus: -4.9%, plus: 5.3%} + label: sys + - asymerror: {minus: -6.6%, plus: 7.3%} + label: sys + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.1%, plus: 0.2%} + label: sys + - {label: sys, symerror: 0.5%} + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.9%} + - {label: sys, symerror: 0.1%} + - asymerror: {minus: -0.1%, plus: 0.2%} + label: sys + - {label: sys, symerror: 0.9%} + - {label: sys, symerror: 0.8%} + - asymerror: {minus: -2.4%, plus: 2.6%} + label: sys + - asymerror: {minus: -0.3%, plus: 0.2%} + label: sys + - asymerror: {minus: -1.7%, plus: 1.8%} + label: sys + - asymerror: {minus: -2.6%, plus: 2.8%} + label: sys + - asymerror: {minus: -5.9%, plus: 6.4%} + label: sys + - asymerror: {minus: -3.1%, plus: 3.3%} + label: sys + - asymerror: {minus: -2.3%, plus: 2.4%} + label: sys + - asymerror: {minus: -11.0%, plus: 12.0%} + label: sys + - asymerror: {minus: -2.2%, plus: 2.3%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.2%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.2%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.3%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.3%} + - asymerror: {minus: -1.0%, plus: 1.2%} + label: sys + - {label: sys, symerror: 0.6%} + - asymerror: {minus: -1.8%, plus: 1.9%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - asymerror: {minus: -0.9%, plus: 1.0%} + label: sys + - asymerror: {minus: -1.0%, plus: 1.1%} + label: sys + - {label: sys, symerror: 0.3%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -1.4%, plus: 1.5%} + label: sys + - asymerror: {minus: -1.1%, plus: 1.3%} + label: sys + - asymerror: {minus: -8.8%, plus: 8.6%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -1.1%, plus: 1.3%} + label: sys + - {label: sys, symerror: 1.9%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 1.1%} + - {label: sys, symerror: 1.8%} + - {label: sys, symerror: 0.5%} + value: 0.0211 +independent_variables: +- header: {name: M(2JET), units: TEV} + values: + - {high: 0.37, low: 0.31} + - {high: 0.44, low: 0.37} + - {high: 0.51, low: 0.44} + - {high: 0.59, low: 0.51} + - {high: 0.67, low: 0.59} + - {high: 0.76, low: 0.67} + - {high: 0.85, low: 0.76} + - {high: 0.95, low: 0.85} + - {high: 1.06, low: 0.95} + - {high: 1.18, low: 1.06} + - {high: 1.31, low: 1.18} + - {high: 1.45, low: 1.31} + - {high: 1.6, low: 1.45} + - {high: 1.76, low: 1.6} + - {high: 1.94, low: 1.76} + - {high: 2.12, low: 1.94} + - {high: 2.33, low: 2.12} + - {high: 2.55, low: 2.33} + - {high: 2.78, low: 2.55} + - {high: 3.04, low: 2.78} + - {high: 4.27, low: 3.04} diff --git a/buildmaster/ATLAS_2JET_7TEV_R06/rawdata/HEPData-ins1268975-v1-Table_9.yaml b/buildmaster/ATLAS_2JET_7TEV_R06/rawdata/HEPData-ins1268975-v1-Table_9.yaml new file mode 100644 index 0000000000..e8d923d6ea --- /dev/null +++ b/buildmaster/ATLAS_2JET_7TEV_R06/rawdata/HEPData-ins1268975-v1-Table_9.yaml @@ -0,0 +1,4680 @@ +dependent_variables: +- header: {name: D2(SIG)/DM(2JET)/DYRAP*, units: PB*TEV*-1} + qualifiers: + - {name: ABS(YRAP(JET1)), value: < 3.0} + - {name: ABS(YRAP(JET2)), value: < 3.0} + - {name: Correlation assumptions, value: Nominal} + - {name: PT(JET1), units: GEV, value: '> 100'} + - {name: PT(JET2), units: GEV, value: '> 50'} + - {name: R, value: '0.6'} + - {name: RE, value: P P --> JET JET X} + - {name: SQRT(S), units: GeV, value: '7000.0'} + - {name: YRAP*, value: 1.0-1.5} + values: + - errors: + - {label: stat, symerror: 1.3%} + - asymerror: {minus: -3.5%, plus: 3.3%} + label: sys + - {label: sys, symerror: 0.8%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.4%, plus: 0.3%} + label: sys + - {label: sys, symerror: 1.5%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.6%, plus: 0.7%} + label: sys + - {label: sys, symerror: 0.1%} + - asymerror: {minus: -0.5%, plus: 0.4%} + label: sys + - asymerror: {minus: -0.4%, plus: 0.3%} + label: sys + - {label: sys, symerror: 1.1%} + - {label: sys, symerror: 0.7%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - {label: sys, symerror: 0.1%} + - asymerror: {minus: -0.2%, plus: 0.1%} + label: sys + - asymerror: {minus: -0.3%, plus: 0.2%} + label: sys + - asymerror: {minus: -0.5%, plus: 0.3%} + label: sys + - asymerror: {minus: -0.4%, plus: 0.3%} + label: sys + - {label: sys, symerror: 0.2%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.6%, plus: 0.7%} + label: sys + - asymerror: {minus: -6.8%, plus: 6.9%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: 0.5%, plus: -0.5%} + label: sys + - asymerror: {minus: 1.4%, plus: -1.8%} + label: sys + - {label: sys, symerror: 2.6%} + - asymerror: {minus: -0.4%, plus: 0.3%} + label: sys + - asymerror: {minus: -5.2%, plus: 5.3%} + label: sys + - {label: sys, symerror: 2.3%} + - {label: sys, symerror: 0.2%} + - {label: sys, symerror: 0.4%} + - {label: sys, symerror: 1.8%} + - {label: sys, symerror: 0.5%} + value: 180000.0 + - errors: + - {label: stat, symerror: 1.4%} + - asymerror: {minus: -3.7%, plus: 3.6%} + label: sys + - asymerror: {minus: -0.7%, plus: 0.8%} + label: sys + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.4%, plus: 0.3%} + label: sys + - asymerror: {minus: -1.4%, plus: 1.5%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.6%, plus: 0.7%} + label: sys + - {label: sys, symerror: 0.1%} + - asymerror: {minus: -0.5%, plus: 0.4%} + label: sys + - asymerror: {minus: -0.4%, plus: 0.3%} + label: sys + - asymerror: {minus: -1.0%, plus: 1.1%} + label: sys + - asymerror: {minus: -0.7%, plus: 0.8%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.2%} + - asymerror: {minus: -0.4%, plus: 0.3%} + label: sys + - {label: sys, symerror: 0.4%} + - {label: sys, symerror: 0.3%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.6%, plus: 0.7%} + label: sys + - asymerror: {minus: -6.9%, plus: 7.1%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: 0.5%, plus: -0.5%} + label: sys + - asymerror: {minus: 1.4%, plus: -1.6%} + label: sys + - asymerror: {minus: -2.3%, plus: 2.4%} + label: sys + - {label: sys, symerror: 0.4%} + - asymerror: {minus: -4.9%, plus: 5.0%} + label: sys + - {label: sys, symerror: 2.0%} + - {label: sys, symerror: 0.2%} + - {label: sys, symerror: 0.2%} + - {label: sys, symerror: 1.8%} + - {label: sys, symerror: 0.5%} + value: 80700.0 + - errors: + - {label: stat, symerror: 1.4%} + - {label: sys, symerror: 3.8%} + - asymerror: {minus: -0.6%, plus: 0.7%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.3%} + - {label: sys, symerror: 1.3%} + - asymerror: {minus: 0.0%, plus: 0.1%} + label: sys + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.5%, plus: 0.6%} + label: sys + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.4%} + - asymerror: {minus: -0.4%, plus: 0.3%} + label: sys + - {label: sys, symerror: 1.0%} + - {label: sys, symerror: 0.7%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - asymerror: {minus: 0.0%, plus: 0.1%} + label: sys + - {label: sys, symerror: 0.1%} + - asymerror: {minus: 0.0%, plus: 0.1%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - {label: sys, symerror: 0.1%} + - asymerror: {minus: -0.2%, plus: 0.1%} + label: sys + - asymerror: {minus: -0.3%, plus: 0.2%} + label: sys + - asymerror: {minus: -0.4%, plus: 0.3%} + label: sys + - asymerror: {minus: -0.4%, plus: 0.3%} + label: sys + - asymerror: {minus: 0.0%, plus: 0.1%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: 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plus: 1.0%} + label: sys + - {label: sys, symerror: 1.6%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.5%} + - {label: sys, symerror: 1.0%} + - {label: sys, symerror: 1.6%} + - {label: sys, symerror: 0.8%} + - {label: sys, symerror: 1.0%} + - {label: sys, symerror: 3.1%} + - {label: sys, symerror: 0.9%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - 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{label: sys, symerror: 0.5%} + value: 4.3 + - errors: + - {label: stat, symerror: 3.6%} + - asymerror: {minus: -6.8%, plus: 7.2%} + label: sys + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.3%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.6%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.5%} + - asymerror: {minus: -0.9%, plus: 1.0%} + label: sys + - asymerror: {minus: -1.7%, plus: 1.8%} + label: sys + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.6%} + - {label: sys, symerror: 1.2%} + - asymerror: {minus: -2.0%, plus: 2.1%} + label: sys + - {label: sys, symerror: 1.0%} + - {label: sys, symerror: 1.1%} + - asymerror: {minus: -3.9%, plus: 4.0%} + label: sys + - {label: sys, symerror: 1.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - 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{label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.6%} + - asymerror: {minus: -4.2%, plus: 4.4%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.2%} + - asymerror: {minus: -1.3%, plus: 1.4%} + label: sys + - {label: sys, symerror: 1.7%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 1.8%} + - {label: sys, symerror: 0.5%} + value: 1.73 + - errors: + - {label: stat, symerror: 5.7%} + - asymerror: {minus: -7.1%, plus: 7.6%} + label: sys + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.3%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.6%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.6%} + - asymerror: {minus: -0.9%, plus: 1.0%} + label: sys + - {label: sys, symerror: 1.9%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.8%} + - {label: sys, symerror: 1.4%} + - {label: sys, symerror: 2.5%} + - asymerror: {minus: -1.2%, plus: 1.3%} + label: sys + - {label: sys, symerror: 1.3%} + - asymerror: {minus: -4.7%, plus: 4.9%} + label: sys + - {label: sys, symerror: 1.3%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: 0.0%, plus: 0.1%} + label: sys + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: 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0.1%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.3%} + - {label: sys, symerror: 0.8%} + - {label: sys, symerror: 0.5%} + - {label: sys, symerror: 1.6%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.5%} + - {label: sys, symerror: 0.3%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.8%} + - asymerror: {minus: -4.1%, plus: 4.4%} + label: sys + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.1%, plus: 0.2%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.2%} + - {label: sys, symerror: 1.3%} + - {label: sys, symerror: 1.9%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.9%} + - {label: sys, symerror: 1.8%} + - {label: sys, symerror: 0.5%} + value: 0.188 + - errors: + - {label: stat, symerror: 13.0%} + - asymerror: {minus: -9.8%, plus: 11.0%} + label: sys + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.1%, plus: 0.2%} + label: sys + - asymerror: {minus: -0.5%, plus: 0.6%} + label: sys + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -1.0%, plus: 1.1%} + label: sys + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.2%} + - asymerror: {minus: -1.0%, plus: 1.1%} + label: sys + - asymerror: {minus: -1.0%, plus: 1.1%} + label: sys + - asymerror: {minus: -2.8%, plus: 3.0%} + label: sys + - {label: sys, symerror: 0.3%} + - asymerror: {minus: -1.7%, plus: 1.8%} + label: sys + - asymerror: {minus: -2.8%, plus: 2.9%} + label: sys + - asymerror: {minus: -5.9%, plus: 6.2%} + label: sys + - asymerror: {minus: -3.0%, plus: 3.2%} + label: sys + - asymerror: {minus: -2.4%, plus: 2.6%} + label: sys + - asymerror: {minus: -11.0%, plus: 12.0%} + label: sys + - asymerror: {minus: -2.4%, plus: 2.6%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.2%, plus: 0.3%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.2%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - asymerror: {minus: -0.1%, plus: 0.2%} + label: sys + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.3%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: 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0.0%} + - {label: sys, symerror: 0.5%} + - asymerror: {minus: -4.3%, plus: 4.5%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: 0.0%, plus: -0.1%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.2%} + - asymerror: {minus: -0.3%, plus: 0.2%} + label: sys + - asymerror: {minus: -1.4%, plus: 1.5%} + label: sys + - {label: sys, symerror: 1.5%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 1.8%} + - {label: sys, symerror: 0.5%} + value: 4.3 + - errors: + - {label: stat, symerror: 3.6%} + - asymerror: {minus: -6.8%, plus: 7.2%} + label: sys + - asymerror: {minus: -4.0%, plus: 4.1%} + label: sys + - {label: sys, symerror: 1.5%} + - {label: sys, symerror: 1.8%} + - {label: sys, symerror: 0.2%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - asymerror: {minus: -0.9%, plus: 1.0%} + label: sys + - {label: sys, symerror: 1.2%} + - {label: sys, symerror: 1.0%} + - {label: sys, symerror: 1.1%} + - asymerror: {minus: -3.9%, plus: 4.0%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.2%} + - asymerror: {minus: -0.7%, plus: 0.6%} + label: sys + - {label: sys, symerror: 0.5%} + - {label: sys, symerror: 1.2%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.3%} + - asymerror: {minus: -0.1%, plus: 0.2%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.6%} + - asymerror: {minus: -4.2%, plus: 4.4%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: 0.0%, plus: 0.1%} + label: sys + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.2%} + - asymerror: {minus: -1.3%, plus: 1.4%} + label: sys + - {label: sys, symerror: 1.7%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 1.8%} + - {label: sys, symerror: 0.5%} + value: 1.73 + - errors: + - {label: stat, symerror: 5.7%} + - asymerror: {minus: -7.1%, plus: 7.6%} + label: sys + - asymerror: {minus: -4.6%, plus: 4.8%} + label: sys + - {label: sys, symerror: 1.7%} + - {label: sys, symerror: 1.9%} + - {label: sys, symerror: 0.2%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - asymerror: {minus: -0.9%, plus: 1.0%} + label: sys + - {label: sys, symerror: 1.4%} + - asymerror: {minus: -1.2%, plus: 1.3%} + label: sys + - {label: sys, symerror: 1.3%} + - asymerror: {minus: -4.7%, plus: 4.9%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: 0.0%, plus: 0.1%} + label: sys + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.2%} + - {label: sys, symerror: 0.7%} + - {label: sys, symerror: 0.5%} + - {label: sys, symerror: 1.4%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.4%} + - {label: sys, symerror: 0.2%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.7%} + - asymerror: {minus: -4.1%, plus: 4.4%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.2%} + - {label: sys, symerror: 1.3%} + - {label: sys, symerror: 1.8%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 1.8%} + - {label: sys, symerror: 0.5%} + value: 0.616 + - errors: + - {label: stat, symerror: 9.7%} + - asymerror: {minus: -7.5%, plus: 8.1%} + label: sys + - asymerror: {minus: -5.4%, plus: 5.6%} + label: sys + - {label: sys, symerror: 1.9%} + - {label: sys, symerror: 2.0%} + - {label: sys, symerror: 0.2%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 1.0%} + - {label: sys, symerror: 1.6%} + - {label: sys, symerror: 1.5%} + - {label: sys, symerror: 1.5%} + - asymerror: {minus: -5.7%, plus: 5.9%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: 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sys, symerror: 0.9%} + - {label: sys, symerror: 1.8%} + - {label: sys, symerror: 0.5%} + value: 0.188 + - errors: + - {label: stat, symerror: 13.0%} + - asymerror: {minus: -9.8%, plus: 11.0%} + label: sys + - asymerror: {minus: -9.7%, plus: 10.0%} + label: sys + - asymerror: {minus: -3.2%, plus: 3.4%} + label: sys + - asymerror: {minus: -2.8%, plus: 3.0%} + label: sys + - asymerror: {minus: -0.3%, plus: 0.4%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - asymerror: {minus: -1.0%, plus: 1.1%} + label: sys + - asymerror: {minus: -2.8%, plus: 2.9%} + label: sys + - asymerror: {minus: -3.0%, plus: 3.2%} + label: sys + - asymerror: {minus: -2.4%, plus: 2.6%} + label: sys + - asymerror: {minus: -11.0%, plus: 12.0%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.2%, plus: 0.3%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.2%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - asymerror: {minus: -0.1%, plus: 0.2%} + label: sys + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.3%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - asymerror: {minus: -0.3%, plus: 0.4%} + label: sys + - asymerror: {minus: -1.2%, plus: 1.3%} + label: sys + - asymerror: {minus: -0.6%, plus: 0.7%} + label: sys + - asymerror: {minus: -2.3%, plus: 2.5%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - asymerror: {minus: -0.9%, plus: 1.1%} + label: sys + - asymerror: {minus: -0.9%, plus: 1.0%} + label: sys + - {label: sys, symerror: 0.2%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 1.4%} + - asymerror: {minus: -4.6%, plus: 4.9%} + label: sys + - asymerror: {minus: -0.4%, plus: 0.3%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.1%, plus: 0.2%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.2%} + - asymerror: {minus: -1.3%, plus: 1.4%} + label: sys + - {label: sys, symerror: 3.4%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 1.7%} + - {label: sys, symerror: 1.8%} + - {label: sys, symerror: 0.5%} + value: 0.0261 +- header: {name: D2(SIG)/DM(2JET)/DYRAP*, units: PB*TEV*-1} + qualifiers: + - {name: ABS(YRAP(JET1)), value: < 3.0} + - {name: ABS(YRAP(JET2)), value: < 3.0} + - {name: Correlation assumptions, value: Weaker} + - {name: PT(JET1), units: GEV, value: '> 100'} + - {name: PT(JET2), units: GEV, value: '> 50'} + - {name: R, value: '0.6'} + - {name: RE, value: P P --> JET JET X} + - {name: SQRT(S), units: GeV, value: '7000.0'} + - {name: YRAP*, value: 1.0-1.5} + values: + - errors: + - {label: stat, symerror: 1.3%} + - {label: sys, symerror: 0.9%} + - {label: sys, symerror: 1.2%} + - asymerror: {minus: -2.8%, plus: 2.7%} + label: sys + - {label: sys, symerror: 0.8%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.4%, plus: 0.3%} + label: sys + - {label: sys, symerror: 1.5%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.6%, plus: 0.7%} + label: sys + - {label: sys, symerror: 0.1%} + - asymerror: {minus: -0.5%, plus: 0.4%} + label: sys + - asymerror: {minus: -0.4%, plus: 0.3%} + label: sys + - {label: sys, symerror: 1.1%} + - {label: sys, symerror: 0.7%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: 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{minus: -2.9%, plus: 3.0%} + label: sys + - {label: sys, symerror: 1.5%} + - {label: sys, symerror: 1.5%} + - asymerror: {minus: -5.7%, plus: 5.9%} + label: sys + - asymerror: {minus: -1.4%, plus: 1.5%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.3%} + - {label: sys, symerror: 0.8%} + - {label: sys, symerror: 0.5%} + - {label: sys, symerror: 1.6%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.5%} + - {label: sys, symerror: 0.3%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.8%} + - asymerror: {minus: -4.1%, plus: 4.4%} + label: sys + - asymerror: {minus: -0.1%, plus: 0.0%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.2%} + - {label: sys, symerror: 1.3%} + - {label: sys, symerror: 1.9%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.9%} + - {label: sys, symerror: 1.8%} + - {label: sys, symerror: 0.5%} + value: 0.188 + - errors: + - {label: stat, symerror: 13.0%} + - {label: sys, symerror: 0.1%} + - asymerror: {minus: -5.9%, plus: 6.2%} + label: sys + - asymerror: {minus: -7.9%, plus: 8.5%} + label: sys + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.1%, plus: 0.2%} + label: sys + - asymerror: {minus: -0.5%, plus: 0.6%} + label: sys + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -1.0%, plus: 1.1%} + label: sys + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.2%} + - asymerror: {minus: -1.0%, plus: 1.1%} + label: sys + - asymerror: {minus: -1.0%, plus: 1.1%} + label: sys + - asymerror: {minus: -2.8%, plus: 3.0%} + label: sys + - {label: sys, symerror: 0.3%} + - asymerror: {minus: -1.7%, plus: 1.8%} + label: sys + - asymerror: {minus: -2.8%, plus: 2.9%} + label: sys + - asymerror: {minus: -5.9%, plus: 6.2%} + label: sys + - asymerror: {minus: -3.0%, plus: 3.2%} + label: sys + - asymerror: {minus: -2.4%, plus: 2.6%} + label: sys + - asymerror: {minus: -11.0%, plus: 12.0%} + label: sys + - asymerror: {minus: -2.4%, plus: 2.6%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.2%, plus: 0.3%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.2%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - asymerror: {minus: -0.1%, plus: 0.2%} + label: sys + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.3%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - asymerror: {minus: -0.3%, plus: 0.4%} + label: sys + - asymerror: {minus: -1.2%, plus: 1.3%} + label: sys + - asymerror: {minus: -0.6%, plus: 0.7%} + label: sys + - asymerror: {minus: -2.3%, plus: 2.5%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.1%} + - asymerror: {minus: -0.9%, plus: 1.1%} + label: sys + - asymerror: {minus: -0.9%, plus: 1.0%} + label: sys + - {label: sys, symerror: 0.2%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 1.4%} + - asymerror: {minus: -4.6%, plus: 4.9%} + label: sys + - asymerror: {minus: -0.4%, plus: 0.3%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.0%} + - asymerror: {minus: -0.1%, plus: 0.2%} + label: sys + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 0.2%} + - asymerror: {minus: -1.3%, plus: 1.4%} + label: sys + - {label: sys, symerror: 3.4%} + - {label: sys, symerror: 0.0%} + - {label: sys, symerror: 1.7%} + - {label: sys, symerror: 1.8%} + - {label: sys, symerror: 0.5%} + value: 0.0261 +independent_variables: +- header: {name: M(2JET), units: TEV} + values: + - {high: 0.59, low: 0.51} + - {high: 0.67, low: 0.59} + - {high: 0.76, low: 0.67} + - {high: 0.85, low: 0.76} + - {high: 0.95, low: 0.85} + - {high: 1.06, low: 0.95} + - {high: 1.18, low: 1.06} + - {high: 1.31, low: 1.18} + - {high: 1.45, low: 1.31} + - {high: 1.6, low: 1.45} + - {high: 1.76, low: 1.6} + - {high: 1.94, low: 1.76} + - {high: 2.12, low: 1.94} + - {high: 2.33, low: 2.12} + - {high: 2.55, low: 2.33} + - {high: 2.78, low: 2.55} + - {high: 3.04, low: 2.78} + - {high: 3.31, low: 3.04} + - {high: 4.64, low: 3.31} From bc01afbff51781c5bf1d4d1e3aceeb3a61b4e141 Mon Sep 17 00:00:00 2001 From: Mark Nestor Costantini Date: Tue, 14 Mar 2023 16:43:23 +0000 Subject: [PATCH 02/40] . --- buildmaster/ATLAS_2JET_7TEV_R06/filter.py | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/buildmaster/ATLAS_2JET_7TEV_R06/filter.py b/buildmaster/ATLAS_2JET_7TEV_R06/filter.py index 16bb50373f..3826ff0ef4 100644 --- a/buildmaster/ATLAS_2JET_7TEV_R06/filter.py +++ b/buildmaster/ATLAS_2JET_7TEV_R06/filter.py @@ -25,7 +25,9 @@ def range_str_to_floats(str_range): def filter_ATLAS_2JET_7TEV_R06(): - + """ + + """ with open('metadata.yaml', 'r') as file: metadata = yaml.safe_load(file) @@ -42,7 +44,6 @@ def filter_ATLAS_2JET_7TEV_R06(): with open(hepdata_tables, 'r') as file: input = yaml.safe_load(file) - ystar = range_str_to_floats(input['dependent_variables'][0]['qualifiers'][8]['value']) sqrts = float(input['dependent_variables'][0]['qualifiers'][7]['value']) From d3c558a10e7ac3521de6cf5994e05b956117a8f3 Mon Sep 17 00:00:00 2001 From: Mark Nestor Costantini Date: Mon, 20 Mar 2023 14:12:58 +0000 Subject: [PATCH 03/40] added statistical covariance matrix for ATLAS_2JET_7TEV_R06 --- .../rawdata/dijet_statcov/hepcov_R06_Eta0.txt | 34 +++++++++++++++++++ .../rawdata/dijet_statcov/hepcov_R06_Eta1.txt | 34 +++++++++++++++++++ .../rawdata/dijet_statcov/hepcov_R06_Eta2.txt | 32 +++++++++++++++++ .../rawdata/dijet_statcov/hepcov_R06_Eta3.txt | 30 ++++++++++++++++ .../rawdata/dijet_statcov/hepcov_R06_Eta4.txt | 21 ++++++++++++ .../rawdata/dijet_statcov/hepcov_R06_Eta5.txt | 17 ++++++++++ 6 files changed, 168 insertions(+) create mode 100644 buildmaster/ATLAS_2JET_7TEV_R06/rawdata/dijet_statcov/hepcov_R06_Eta0.txt create mode 100644 buildmaster/ATLAS_2JET_7TEV_R06/rawdata/dijet_statcov/hepcov_R06_Eta1.txt create mode 100644 buildmaster/ATLAS_2JET_7TEV_R06/rawdata/dijet_statcov/hepcov_R06_Eta2.txt create mode 100644 buildmaster/ATLAS_2JET_7TEV_R06/rawdata/dijet_statcov/hepcov_R06_Eta3.txt create mode 100644 buildmaster/ATLAS_2JET_7TEV_R06/rawdata/dijet_statcov/hepcov_R06_Eta4.txt create mode 100644 buildmaster/ATLAS_2JET_7TEV_R06/rawdata/dijet_statcov/hepcov_R06_Eta5.txt diff --git a/buildmaster/ATLAS_2JET_7TEV_R06/rawdata/dijet_statcov/hepcov_R06_Eta0.txt b/buildmaster/ATLAS_2JET_7TEV_R06/rawdata/dijet_statcov/hepcov_R06_Eta0.txt new file mode 100644 index 0000000000..7b174f36ff --- /dev/null +++ b/buildmaster/ATLAS_2JET_7TEV_R06/rawdata/dijet_statcov/hepcov_R06_Eta0.txt @@ -0,0 +1,34 @@ +Statistical covariance matrix for measured double-differential dijet cross-sections for the range 0.0 <= y* < 0.5 and jet radius parameter R = 0.6 +ABS(YRAP(JET1)) : < 3.0 +ABS(YRAP(JET2)) : < 3.0 +PT(JET1) IN GEV : > 100 +PT(JET2) IN GEV : > 50 +R : 0.6 +RE : P P --> JET JET X +SQRT(S) : 7000.0 GeV +YRAP* : 0.0 - 0.5 +x : M(2JET) IN TEV +y : M(2JET) IN TEV +z : cov(x,y) IN PB**+2*TEV**-2 +xlow-xhigh +0.26-0.31 7.51e+07 -3.61e+05 -5.96e+05 7.41e+03 -5.52e+03 -4.86e+03 -2.96e+03 7.98e+02 5.07e+02 3.09e+02 -1.91e+02 8.52e+01 -4.88e+01 -3.31e+00 1.39e+01 1.62e+01 8.17e+00 -3.09e+00 2.49e+00 -8.63e-01 3.05e-01 +0.31-0.37 -3.61e+05 9.88e+06 -2.43e+05 -1.23e+05 2.06e+03 -2.98e+01 -2.09e+03 -1.67e+02 6.11e+02 -1.02e+02 -1.51e+01 -4.64e+01 9.96e-01 -9.44e+00 -1.44e+00 1.19e+00 -2.81e+00 1.15e+00 7.25e-01 -1.70e-01 1.52e-01 +0.37-0.44 -5.96e+05 -2.43e+05 1.50e+06 -4.43e+04 -1.52e+04 -9.94e+02 -1.78e+01 -1.67e+02 1.09e+02 3.69e+01 3.86e+00 -6.47e+00 -5.20e-02 -9.23e+00 6.10e+00 2.29e+00 -9.94e-01 -3.91e-01 8.92e-02 -5.97e-01 -2.61e-02 +0.44-0.51 7.41e+03 -1.23e+05 -4.43e+04 2.37e+05 -4.81e+03 -2.48e+03 -2.50e+02 2.19e+01 -1.78e+01 4.58e+01 -1.07e+01 2.72e+00 -3.31e+00 1.85e+00 -7.65e-01 6.75e-02 5.10e-03 1.27e-01 6.94e-02 -7.45e-02 -8.28e-03 +0.51-0.59 -5.52e+03 2.06e+03 -1.52e+04 -4.81e+03 4.06e+04 -2.02e+02 -6.77e+02 -7.03e+01 -1.92e+00 -2.68e+00 1.00e+01 1.83e+00 -7.57e-01 -2.35e+00 9.17e-02 -9.14e-02 2.44e-02 2.25e-02 5.40e-02 2.53e-02 4.96e-03 +0.59-0.67 -4.86e+03 -2.98e+01 -9.94e+02 -2.48e+03 -2.02e+02 5.04e+03 -1.40e+02 -8.19e+01 -7.39e+00 2.36e+00 -1.14e-01 -7.13e-02 -4.36e-01 -5.81e-02 -1.51e-01 8.34e-02 5.72e-02 -1.34e-02 8.66e-03 3.35e-02 -1.03e-03 +0.67-0.76 -2.96e+03 -2.09e+03 -1.78e+01 -2.50e+02 -6.77e+02 -1.40e+02 1.08e+03 -3.49e+01 -2.13e+01 -2.11e+00 -2.32e-01 -3.10e-01 -4.02e-02 -2.37e-02 1.50e-01 -2.53e-02 1.47e-02 1.09e-02 1.36e-02 -9.52e-03 -5.19e-05 +0.76-0.85 7.98e+02 -1.67e+02 -1.67e+02 2.19e+01 -7.03e+01 -8.19e+01 -3.49e+01 2.16e+02 -1.11e+01 -3.47e+00 -4.51e-01 -2.54e-01 1.17e-01 6.82e-02 4.95e-02 -7.45e-03 3.23e-03 6.83e-03 -4.79e-03 -3.20e-03 -6.52e-05 +0.85-0.95 5.07e+02 6.11e+02 1.09e+02 -1.78e+01 -1.92e+00 -7.39e+00 -2.13e+01 -1.11e+01 5.18e+01 -2.03e+00 -8.62e-01 9.28e-02 -5.62e-02 -3.22e-02 4.37e-03 6.43e-03 4.41e-03 1.70e-03 4.32e-03 2.12e-03 1.29e-04 +0.95-1.06 3.09e+02 -1.02e+02 3.69e+01 4.58e+01 -2.68e+00 2.36e+00 -2.11e+00 -3.47e+00 -2.03e+00 1.20e+01 -5.32e-01 -1.87e-01 -3.13e-02 -1.67e-02 8.54e-03 6.22e-04 3.39e-04 5.96e-04 2.58e-04 -3.01e-04 -7.50e-05 +1.06-1.18 -1.91e+02 -1.51e+01 3.86e+00 -1.07e+01 1.00e+01 -1.14e-01 -2.32e-01 -4.51e-01 -8.62e-01 -5.32e-01 2.80e+00 -5.30e-02 -6.37e-02 -8.96e-03 -5.56e-03 -1.42e-03 -3.34e-04 7.49e-04 6.48e-04 1.21e-04 6.05e-05 +1.18-1.31 8.52e+01 -4.64e+01 -6.47e+00 2.72e+00 1.83e+00 -7.13e-02 -3.10e-01 -2.54e-01 9.28e-02 -1.87e-01 -5.30e-02 8.20e-01 3.57e-03 -1.77e-02 -4.62e-03 -1.26e-03 7.69e-04 9.02e-05 -2.74e-04 4.13e-05 -3.85e-05 +1.31-1.45 -4.88e+01 9.96e-01 -5.20e-02 -3.31e+00 -7.57e-01 -4.36e-01 -4.02e-02 1.17e-01 -5.62e-02 -3.13e-02 -6.37e-02 3.57e-03 3.07e-01 4.73e-03 -5.95e-03 -4.68e-04 4.65e-05 -7.61e-04 1.38e-04 1.22e-05 2.44e-05 +1.45-1.60 -3.31e+00 -9.44e+00 -9.23e+00 1.85e+00 -2.35e+00 -5.81e-02 -2.37e-02 6.82e-02 -3.22e-02 -1.67e-02 -8.96e-03 -1.77e-02 4.73e-03 1.26e-01 6.36e-03 -3.46e-03 -6.56e-04 1.04e-04 3.76e-05 1.44e-04 -1.12e-05 +1.60-1.76 1.39e+01 -1.44e+00 6.10e+00 -7.65e-01 9.17e-02 -1.51e-01 1.50e-01 4.95e-02 4.37e-03 8.54e-03 -5.56e-03 -4.62e-03 -5.95e-03 6.36e-03 5.04e-02 2.89e-03 -1.54e-03 -1.25e-04 4.10e-05 -6.41e-06 7.10e-06 +1.76-1.94 1.62e+01 1.19e+00 2.29e+00 6.75e-02 -9.14e-02 8.34e-02 -2.53e-02 -7.45e-03 6.43e-03 6.22e-04 -1.42e-03 -1.26e-03 -4.68e-04 -3.46e-03 2.89e-03 2.07e-02 9.08e-04 -5.61e-04 -8.71e-06 4.36e-05 -2.57e-06 +1.94-2.12 8.17e+00 -2.81e+00 -9.94e-01 5.10e-03 2.44e-02 5.72e-02 1.47e-02 3.23e-03 4.41e-03 3.39e-04 -3.34e-04 7.69e-04 4.65e-05 -6.56e-04 -1.54e-03 9.08e-04 9.66e-03 4.55e-04 -2.23e-04 -6.48e-05 -3.53e-06 +2.12-2.33 -3.09e+00 1.15e+00 -3.91e-01 1.27e-01 2.25e-02 -1.34e-02 1.09e-02 6.83e-03 1.70e-03 5.96e-04 7.49e-04 9.02e-05 -7.61e-04 1.04e-04 -1.25e-04 -5.61e-04 4.55e-04 3.53e-03 1.96e-04 -1.04e-04 -1.04e-06 +2.33-2.55 2.49e+00 7.25e-01 8.92e-02 6.94e-02 5.40e-02 8.66e-03 1.36e-02 -4.79e-03 4.32e-03 2.58e-04 6.48e-04 -2.74e-04 1.38e-04 3.76e-05 4.10e-05 -8.71e-06 -2.23e-04 1.96e-04 1.50e-03 1.22e-04 -6.94e-06 +2.55-2.78 -8.63e-01 -1.70e-01 -5.97e-01 -7.45e-02 2.53e-02 3.35e-02 -9.52e-03 -3.20e-03 2.12e-03 -3.01e-04 1.21e-04 4.13e-05 1.22e-05 1.44e-04 -6.41e-06 4.36e-05 -6.48e-05 -1.04e-04 1.22e-04 6.24e-04 3.23e-06 +2.78-4.27 3.05e-01 1.52e-01 -2.61e-02 -8.28e-03 4.96e-03 -1.03e-03 -5.19e-05 -6.52e-05 1.29e-04 -7.50e-05 6.05e-05 -3.85e-05 2.44e-05 -1.12e-05 7.10e-06 -2.57e-06 -3.53e-06 -1.04e-06 -6.94e-06 3.23e-06 9.67e-06 diff --git a/buildmaster/ATLAS_2JET_7TEV_R06/rawdata/dijet_statcov/hepcov_R06_Eta1.txt b/buildmaster/ATLAS_2JET_7TEV_R06/rawdata/dijet_statcov/hepcov_R06_Eta1.txt new file mode 100644 index 0000000000..e95a27f04b --- /dev/null +++ b/buildmaster/ATLAS_2JET_7TEV_R06/rawdata/dijet_statcov/hepcov_R06_Eta1.txt @@ -0,0 +1,34 @@ +Statistical covariance matrix for measured double-differential dijet cross-sections for the range 0.5 <= y* < 1.0 and jet radius parameter R = 0.6 +ABS(YRAP(JET1)) : < 3.0 +ABS(YRAP(JET2)) : < 3.0 +PT(JET1) IN GEV : > 100 +PT(JET2) IN GEV : > 50 +R : 0.6 +RE : P P --> JET JET X +SQRT(S) : 7000.0 GeV +YRAP* : 0.5 - 1.0 +x : M(2JET) IN TEV +y : M(2JET) IN TEV +z : cov(x,y) IN PB**+2*TEV**-2 +xlow-xhigh +0.31-0.37 1.02e+08 -2.27e+06 -1.13e+06 -1.46e+05 4.18e+04 -1.24e+04 -4.20e+03 7.07e+01 -5.71e+01 -3.51e+02 1.84e+02 3.78e+01 -3.73e+01 -1.89e+01 -2.91e+01 3.00e+00 -9.48e-01 -1.65e+00 -3.20e+00 -1.80e+00 -2.30e-01 +0.37-0.44 -2.27e+06 1.34e+07 -1.60e+05 -1.93e+05 -1.99e+04 5.74e+03 3.18e+03 4.24e+02 -1.29e+02 8.73e+01 6.06e+01 -4.30e+00 1.22e+00 -4.81e+00 8.59e+00 1.62e+00 -8.67e-01 -1.01e+00 -5.92e-01 6.61e-01 2.00e-02 +0.44-0.51 -1.13e+06 -1.60e+05 2.11e+06 -4.44e+04 -3.37e+04 -3.74e+03 -1.18e+03 8.85e+01 5.01e+01 -7.77e+01 -4.32e+01 -2.00e+01 2.41e+00 4.81e-01 -7.42e+00 -9.49e-01 2.44e-01 5.36e-02 3.72e-01 -7.96e-02 1.06e-02 +0.51-0.59 -1.46e+05 -1.93e+05 -4.44e+04 3.98e+05 -1.30e+04 -6.90e+03 -5.62e+00 -6.04e+01 -6.70e+01 -6.44e+01 -1.24e+01 1.13e+01 5.41e+00 2.95e+00 3.24e-02 -3.99e-01 3.13e-01 3.85e-02 6.12e-02 -2.37e-01 7.99e-03 +0.59-0.67 4.18e+04 -1.99e+04 -3.37e+04 -1.30e+04 8.51e+04 -1.17e+03 -1.44e+03 -1.28e+02 -4.92e+01 -1.50e-01 -4.03e+00 -2.19e+00 -7.84e-01 -2.75e-01 4.67e-01 -8.47e-01 -1.91e-01 5.73e-02 2.83e-03 -2.15e-02 -7.04e-03 +0.67-0.76 -1.24e+04 5.74e+03 -3.74e+03 -6.90e+03 -1.17e+03 1.59e+04 -3.00e+02 -2.42e+02 -5.97e+00 -2.09e+00 -4.74e+00 -6.54e-01 9.40e-01 -9.56e-02 3.67e-02 -3.05e-01 4.55e-03 -4.96e-02 -7.43e-02 3.28e-03 -2.10e-03 +0.76-0.85 -4.20e+03 3.18e+03 -1.18e+03 -5.62e+00 -1.44e+03 -3.00e+02 3.18e+03 -4.04e+01 -6.01e+01 -8.51e-01 3.44e-01 -2.89e-01 -5.90e-01 -2.36e-01 7.20e-02 1.35e-01 4.91e-02 1.02e-02 2.78e-02 1.46e-02 2.00e-03 +0.85-0.95 7.07e+01 4.24e+02 8.85e+01 -6.04e+01 -1.28e+02 -2.42e+02 -4.04e+01 5.38e+02 -1.55e+01 -9.29e+00 -4.05e-01 -3.95e-01 -3.36e-02 -1.97e-01 1.59e-02 5.00e-02 -1.48e-02 1.19e-02 1.79e-03 -2.61e-03 -1.45e-04 +0.95-1.06 -5.71e+01 -1.29e+02 5.01e+01 -6.70e+01 -4.92e+01 -5.97e+00 -6.01e+01 -1.55e+01 1.25e+02 -3.97e+00 -2.25e+00 4.30e-02 6.32e-02 9.46e-02 3.11e-02 -1.55e-02 -1.23e-02 -1.20e-03 -6.70e-04 2.29e-03 3.69e-04 +1.06-1.18 -3.51e+02 8.73e+01 -7.77e+01 -6.44e+01 -1.50e-01 -2.09e+00 -8.51e-01 -9.29e+00 -3.97e+00 2.50e+01 -1.04e+00 -4.78e-01 -5.38e-02 6.09e-03 1.04e-02 -6.17e-03 -1.66e-03 2.64e-03 -6.36e-04 -8.80e-04 1.47e-04 +1.18-1.31 1.84e+02 6.06e+01 -4.32e+01 -1.24e+01 -4.03e+00 -4.74e+00 3.44e-01 -4.05e-01 -2.25e+00 -1.04e+00 6.60e+00 -2.12e-01 -1.01e-01 -1.53e-02 9.67e-03 -1.80e-04 -5.28e-05 -7.66e-04 2.31e-03 4.40e-04 -8.14e-05 +1.31-1.45 3.78e+01 -4.30e+00 -2.00e+01 1.13e+01 -2.19e+00 -6.54e-01 -2.89e-01 -3.95e-01 4.30e-02 -4.78e-01 -2.12e-01 1.65e+00 -3.11e-02 -4.07e-02 -4.20e-03 -1.51e-03 2.59e-04 4.81e-04 1.70e-04 -1.50e-04 -5.59e-05 +1.45-1.60 -3.73e+01 1.22e+00 2.41e+00 5.41e+00 -7.84e-01 9.40e-01 -5.90e-01 -3.36e-02 6.32e-02 -5.38e-02 -1.01e-01 -3.11e-02 4.30e-01 4.77e-03 -1.23e-02 -1.24e-03 -3.92e-04 -5.42e-04 2.17e-05 2.27e-05 2.24e-05 +1.60-1.76 -1.89e+01 -4.81e+00 4.81e-01 2.95e+00 -2.75e-01 -9.56e-02 -2.36e-01 -1.97e-01 9.46e-02 6.09e-03 -1.53e-02 -4.07e-02 4.77e-03 1.52e-01 2.27e-03 -4.15e-03 -3.29e-04 -1.89e-04 -9.85e-05 -3.45e-05 8.85e-06 +1.76-1.94 -2.91e+01 8.59e+00 -7.42e+00 3.24e-02 4.67e-01 3.67e-02 7.20e-02 1.59e-02 3.11e-02 1.04e-02 9.67e-03 -4.20e-03 -1.23e-02 2.27e-03 5.42e-02 2.23e-03 -1.29e-03 -1.25e-04 1.42e-05 2.36e-05 -2.71e-07 +1.94-2.12 3.00e+00 1.62e+00 -9.49e-01 -3.99e-01 -8.47e-01 -3.05e-01 1.35e-01 5.00e-02 -1.55e-02 -6.17e-03 -1.80e-04 -1.51e-03 -1.24e-03 -4.15e-03 2.23e-03 2.28e-02 1.05e-03 -5.58e-04 -4.89e-05 6.33e-06 -7.34e-08 +2.12-2.33 -9.48e-01 -8.67e-01 2.44e-01 3.13e-01 -1.91e-01 4.55e-03 4.91e-02 -1.48e-02 -1.23e-02 -1.66e-03 -5.28e-05 2.59e-04 -3.92e-04 -3.29e-04 -1.29e-03 1.05e-03 8.68e-03 4.87e-04 -2.16e-04 -9.80e-06 -8.11e-06 +2.33-2.55 -1.65e+00 -1.01e+00 5.36e-02 3.85e-02 5.73e-02 -4.96e-02 1.02e-02 1.19e-02 -1.20e-03 2.64e-03 -7.66e-04 4.81e-04 -5.42e-04 -1.89e-04 -1.25e-04 -5.58e-04 4.87e-04 2.91e-03 1.63e-04 -5.27e-05 -3.51e-06 +2.55-2.78 -3.20e+00 -5.92e-01 3.72e-01 6.12e-02 2.83e-03 -7.43e-02 2.78e-02 1.79e-03 -6.70e-04 -6.36e-04 2.31e-03 1.70e-04 2.17e-05 -9.85e-05 1.42e-05 -4.89e-05 -2.16e-04 1.63e-04 1.22e-03 7.37e-05 -5.16e-06 +2.78-3.04 -1.80e+00 6.61e-01 -7.96e-02 -2.37e-01 -2.15e-02 3.28e-03 1.46e-02 -2.61e-03 2.29e-03 -8.80e-04 4.40e-04 -1.50e-04 2.27e-05 -3.45e-05 2.36e-05 6.33e-06 -9.80e-06 -5.27e-05 7.37e-05 3.46e-04 1.05e-06 +3.04-4.27 -2.30e-01 2.00e-02 1.06e-02 7.99e-03 -7.04e-03 -2.10e-03 2.00e-03 -1.45e-04 3.69e-04 1.47e-04 -8.14e-05 -5.59e-05 2.24e-05 8.85e-06 -2.71e-07 -7.34e-08 -8.11e-06 -3.51e-06 -5.16e-06 1.05e-06 1.03e-05 diff --git a/buildmaster/ATLAS_2JET_7TEV_R06/rawdata/dijet_statcov/hepcov_R06_Eta2.txt b/buildmaster/ATLAS_2JET_7TEV_R06/rawdata/dijet_statcov/hepcov_R06_Eta2.txt new file mode 100644 index 0000000000..738d6ec03e --- /dev/null +++ b/buildmaster/ATLAS_2JET_7TEV_R06/rawdata/dijet_statcov/hepcov_R06_Eta2.txt @@ -0,0 +1,32 @@ +Statistical covariance matrix for measured double-differential dijet cross-sections for the range 1.0 <= y* < 1.5 and jet radius parameter R = 0.6 +ABS(YRAP(JET1)) : < 3.0 +ABS(YRAP(JET2)) : < 3.0 +PT(JET1) IN GEV : > 100 +PT(JET2) IN GEV : > 50 +R : 0.6 +RE : P P --> JET JET X +SQRT(S) : 7000.0 GeV +YRAP* : 1.0 - 1.5 +x : M(2JET) IN TEV +y : M(2JET) IN TEV +z : cov(x,y) IN PB**+2*TEV**-2 +xlow-xhigh +0.51-0.59 5.44e+06 1.63e+05 -1.23e+05 -2.75e+04 -5.42e+03 -1.49e+03 -2.37e+01 3.57e+02 1.12e+02 -6.87e+01 1.77e+01 -9.93e+00 1.05e+01 -6.09e-01 2.34e+00 -2.58e+00 9.07e-01 1.64e-01 1.32e-01 +0.59-0.67 1.63e+05 1.23e+06 4.75e+04 -2.91e+04 -4.26e+03 -4.32e+02 1.81e+02 -6.51e+01 3.36e+01 3.49e+01 8.96e+00 -4.02e+00 -3.42e+00 -3.01e+00 3.97e-02 6.34e-01 -7.73e-01 1.07e-02 -1.80e-03 +0.67-0.76 -1.23e+05 4.75e+04 2.67e+05 6.30e+03 -4.64e+03 -7.53e+02 1.07e+02 -6.81e+01 1.52e+01 -3.96e+00 9.79e+00 3.01e+00 -4.85e-01 3.07e-01 -7.70e-01 6.14e-02 -3.83e-02 -2.68e-01 -8.44e-03 +0.76-0.85 -2.75e+04 -2.91e+04 6.30e+03 6.33e+04 2.52e+03 -1.45e+03 -5.71e+01 -6.71e+01 -1.98e+00 4.90e+00 -3.26e+00 -2.25e-01 -4.86e-01 1.13e+00 7.22e-02 -9.73e-02 5.05e-03 -1.87e-02 8.32e-04 +0.85-0.95 -5.42e+03 -4.26e+03 -4.64e+03 2.52e+03 1.73e+04 5.99e+02 -3.80e+02 -2.73e+01 1.14e+00 3.94e+00 2.41e+00 1.51e-01 -3.28e-01 4.56e-02 9.75e-02 -1.16e-02 6.53e-02 4.64e-02 3.33e-03 +0.95-1.06 -1.49e+03 -4.32e+02 -7.53e+02 -1.45e+03 5.99e+02 3.63e+03 1.07e+02 -7.21e+01 -1.06e+01 5.68e-01 3.17e-01 -6.61e-02 1.93e-02 -7.97e-02 8.94e-02 -9.25e-02 2.15e-03 8.94e-03 2.45e-04 +1.06-1.18 -2.37e+01 1.81e+02 1.07e+02 -5.71e+01 -3.80e+02 1.07e+02 9.72e+02 2.14e+01 -1.66e+01 -1.38e+00 -2.77e-01 -2.40e-01 1.07e-01 -4.87e-02 2.19e-05 -2.86e-02 -9.20e-03 4.91e-03 -5.26e-04 +1.18-1.31 3.57e+02 -6.51e+01 -6.81e+01 -6.71e+01 -2.73e+01 -7.21e+01 2.14e+01 1.56e+02 5.45e+00 -2.67e+00 -4.76e-01 -4.75e-02 2.04e-02 -2.24e-02 1.57e-02 1.68e-03 -2.78e-03 -2.36e-03 -1.96e-05 +1.31-1.45 1.12e+02 3.36e+01 1.52e+01 -1.98e+00 1.14e+00 -1.06e+01 -1.66e+01 5.45e+00 3.14e+01 7.61e-01 -6.40e-01 -1.07e-01 -1.59e-02 3.14e-03 -4.85e-03 -3.26e-03 -7.33e-04 -1.87e-04 -4.62e-05 +1.45-1.60 -6.87e+01 3.49e+01 -3.96e+00 4.90e+00 3.94e+00 5.68e-01 -1.38e+00 -2.67e+00 7.61e-01 8.29e+00 2.95e-01 -1.66e-01 -4.26e-03 -4.86e-03 -2.04e-03 1.64e-04 8.52e-04 -2.80e-04 4.21e-05 +1.60-1.76 1.77e+01 8.96e+00 9.79e+00 -3.26e+00 2.41e+00 3.17e-01 -2.77e-01 -4.76e-01 -6.40e-01 2.95e-01 1.58e+00 4.71e-02 -3.68e-02 -2.00e-03 1.09e-04 1.67e-04 -7.10e-05 -3.72e-05 -4.33e-05 +1.76-1.94 -9.93e+00 -4.02e+00 3.01e+00 -2.25e-01 1.51e-01 -6.61e-02 -2.40e-01 -4.75e-02 -1.07e-01 -1.66e-01 4.71e-02 3.74e-01 1.07e-02 -9.34e-03 -1.72e-03 7.54e-05 -5.21e-05 5.47e-05 2.05e-05 +1.94-2.12 1.05e+01 -3.42e+00 -4.85e-01 -4.86e-01 -3.28e-01 1.93e-02 1.07e-01 2.04e-02 -1.59e-02 -4.26e-03 -3.68e-02 1.07e-02 1.16e-01 4.01e-03 -2.21e-03 -3.59e-04 -9.92e-05 3.75e-05 4.98e-06 +2.12-2.33 -6.09e-01 -3.01e+00 3.07e-01 1.13e+00 4.56e-02 -7.97e-02 -4.87e-02 -2.24e-02 3.14e-03 -4.86e-03 -2.00e-03 -9.34e-03 4.01e-03 2.81e-02 1.72e-03 -7.47e-04 -1.19e-04 1.30e-05 4.96e-06 +2.33-2.55 2.34e+00 3.97e-02 -7.70e-01 7.22e-02 9.75e-02 8.94e-02 2.19e-05 1.57e-02 -4.85e-03 -2.04e-03 1.09e-04 -1.72e-03 -2.21e-03 1.72e-03 1.01e-02 5.74e-04 -2.10e-04 -1.22e-05 2.61e-06 +2.55-2.78 -2.58e+00 6.34e-01 6.14e-02 -9.73e-02 -1.16e-02 -9.25e-02 -2.86e-02 1.68e-03 -3.26e-03 1.64e-04 1.67e-04 7.54e-05 -3.59e-04 -7.47e-04 5.74e-04 3.96e-03 1.52e-04 -8.24e-05 1.35e-06 +2.78-3.04 9.07e-01 -7.73e-01 -3.83e-02 5.05e-03 6.53e-02 2.15e-03 -9.20e-03 -2.78e-03 -7.33e-04 8.52e-04 -7.10e-05 -5.21e-05 -9.92e-05 -1.19e-04 -2.10e-04 1.52e-04 1.25e-03 7.29e-05 -7.84e-06 +3.04-3.31 1.64e-01 1.07e-02 -2.68e-01 -1.87e-02 4.64e-02 8.94e-03 4.91e-03 -2.36e-03 -1.87e-04 -2.80e-04 -3.72e-05 5.47e-05 3.75e-05 1.30e-05 -1.22e-05 -8.24e-05 7.29e-05 3.32e-04 3.18e-06 +3.31-4.64 1.32e-01 -1.80e-03 -8.44e-03 8.32e-04 3.33e-03 2.45e-04 -5.26e-04 -1.96e-05 -4.62e-05 4.21e-05 -4.33e-05 2.05e-05 4.98e-06 4.96e-06 2.61e-06 1.35e-06 -7.84e-06 3.18e-06 1.12e-05 diff --git a/buildmaster/ATLAS_2JET_7TEV_R06/rawdata/dijet_statcov/hepcov_R06_Eta3.txt b/buildmaster/ATLAS_2JET_7TEV_R06/rawdata/dijet_statcov/hepcov_R06_Eta3.txt new file mode 100644 index 0000000000..fe7c79496c --- /dev/null +++ b/buildmaster/ATLAS_2JET_7TEV_R06/rawdata/dijet_statcov/hepcov_R06_Eta3.txt @@ -0,0 +1,30 @@ +Statistical covariance matrix for measured double-differential dijet cross-sections for the range 1.5 <= y* < 2.0 and jet radius parameter R = 0.6 +ABS(YRAP(JET1)) : < 3.0 +ABS(YRAP(JET2)) : < 3.0 +PT(JET1) IN GEV : > 100 +PT(JET2) IN GEV : > 50 +R : 0.6 +RE : P P --> JET JET X +SQRT(S) : 7000.0 GeV +YRAP* : 1.5 - 2.0 +x : M(2JET) IN TEV +y : M(2JET) IN TEV +z : cov(x,y) IN PB**+2*TEV**-2 +xlow-xhigh +0.76-0.85 9.78e+05 1.32e+05 -3.15e+04 -6.69e+03 -9.21e+02 -2.15e+02 3.18e+02 2.27e+02 -1.09e+02 -5.28e-02 -1.67e+01 -8.17e+00 1.07e+00 -1.00e+00 8.04e-01 2.90e-01 3.71e-02 +0.85-0.95 1.32e+05 3.40e+05 3.44e+04 -9.35e+03 -1.14e+03 7.72e+01 -3.52e+01 2.67e+01 4.78e+00 -3.24e+00 -3.02e+00 -3.99e-01 1.81e-01 -4.08e-01 1.13e-01 -7.60e-02 -4.31e-03 +0.95-1.06 -3.15e+04 3.44e+04 7.98e+04 9.07e+03 -2.08e+03 -3.66e+02 -1.12e+02 -1.89e+01 -4.63e+00 1.73e+00 -4.13e-01 1.53e+00 3.21e-01 -1.82e-01 1.26e-01 1.67e-02 -1.11e-02 +1.06-1.18 -6.69e+03 -9.35e+03 9.07e+03 2.50e+04 2.35e+03 -7.56e+02 -1.73e+02 -4.65e+00 5.30e+00 1.07e+00 1.34e+00 1.64e+00 5.46e-01 8.85e-02 -1.08e-01 -1.15e-03 -1.65e-03 +1.18-1.31 -9.21e+02 -1.14e+03 -2.08e+03 2.35e+03 5.31e+03 5.20e+02 -1.70e+02 -1.80e+01 3.13e+00 9.38e-02 7.77e-01 3.52e-01 -1.40e-01 -3.23e-02 3.63e-02 1.70e-02 4.87e-03 +1.31-1.45 -2.15e+02 7.72e+01 -3.66e+02 -7.56e+02 5.20e+02 1.74e+03 1.52e+02 -4.43e+01 -4.40e+00 1.07e-01 2.04e-01 -2.22e-01 -7.03e-02 -4.00e-02 2.35e-02 -4.34e-03 -9.14e-04 +1.45-1.60 3.18e+02 -3.52e+01 -1.12e+02 -1.73e+02 -1.70e+02 1.52e+02 4.71e+02 3.98e+01 -1.08e+01 -1.68e+00 -3.83e-01 6.73e-02 -4.61e-02 -2.86e-02 -6.79e-03 -7.64e-03 7.42e-04 +1.60-1.76 2.27e+02 2.67e+01 -1.89e+01 -4.65e+00 -1.80e+01 -4.43e+01 3.98e+01 1.19e+02 7.39e+00 -2.16e+00 -2.77e-01 6.88e-02 1.04e-02 -1.47e-02 1.15e-03 -1.38e-03 2.92e-04 +1.76-1.94 -1.09e+02 4.78e+00 -4.63e+00 5.30e+00 3.13e+00 -4.40e+00 -1.08e+01 7.39e+00 2.94e+01 1.53e+00 -6.67e-01 -4.61e-02 -6.35e-03 -4.51e-03 3.04e-03 -1.55e-03 -2.34e-04 +1.94-2.12 -5.28e-02 -3.24e+00 1.73e+00 1.07e+00 9.38e-02 1.07e-01 -1.68e+00 -2.16e+00 1.53e+00 3.51e+00 2.35e-01 -5.03e-02 -6.18e-03 1.48e-03 5.55e-04 3.17e-04 4.39e-05 +2.12-2.33 -1.67e+01 -3.02e+00 -4.13e-01 1.34e+00 7.77e-01 2.04e-01 -3.83e-01 -2.77e-01 -6.67e-01 2.35e-01 1.11e+00 6.38e-02 -1.85e-02 -5.77e-04 4.40e-04 -2.09e-05 6.27e-05 +2.33-2.55 -8.17e+00 -3.99e-01 1.53e+00 1.64e+00 3.52e-01 -2.22e-01 6.73e-02 6.88e-02 -4.61e-02 -5.03e-02 6.38e-02 2.67e-01 1.08e-02 -3.45e-03 2.72e-05 9.59e-05 4.34e-06 +2.55-2.78 1.07e+00 1.81e-01 3.21e-01 5.46e-01 -1.40e-01 -7.03e-02 -4.61e-02 1.04e-02 -6.35e-03 -6.18e-03 -1.85e-02 1.08e-02 3.84e-02 1.44e-03 -7.88e-04 -4.05e-05 -6.43e-06 +2.78-3.04 -1.00e+00 -4.08e-01 -1.82e-01 8.85e-02 -3.23e-02 -4.00e-02 -2.86e-02 -1.47e-02 -4.51e-03 1.48e-03 -5.77e-04 -3.45e-03 1.44e-03 7.74e-03 2.65e-04 -1.46e-04 -1.91e-06 +3.04-3.31 8.04e-01 1.13e-01 1.26e-01 -1.08e-01 3.63e-02 2.35e-02 -6.79e-03 1.15e-03 3.04e-03 5.55e-04 4.40e-04 2.72e-05 -7.88e-04 2.65e-04 2.50e-03 8.85e-05 -1.01e-05 +3.31-3.61 2.90e-01 -7.60e-02 1.67e-02 -1.15e-03 1.70e-02 -4.34e-03 -7.64e-03 -1.38e-03 -1.55e-03 3.17e-04 -2.09e-05 9.59e-05 -4.05e-05 -1.46e-04 8.85e-05 5.75e-04 3.56e-06 +3.61-4.64 3.71e-02 -4.31e-03 -1.11e-02 -1.65e-03 4.87e-03 -9.14e-04 7.42e-04 2.92e-04 -2.34e-04 4.39e-05 6.27e-05 4.34e-06 -6.43e-06 -1.91e-06 -1.01e-05 3.56e-06 1.18e-05 diff --git a/buildmaster/ATLAS_2JET_7TEV_R06/rawdata/dijet_statcov/hepcov_R06_Eta4.txt b/buildmaster/ATLAS_2JET_7TEV_R06/rawdata/dijet_statcov/hepcov_R06_Eta4.txt new file mode 100644 index 0000000000..18d91c4a2c --- /dev/null +++ b/buildmaster/ATLAS_2JET_7TEV_R06/rawdata/dijet_statcov/hepcov_R06_Eta4.txt @@ -0,0 +1,21 @@ +Statistical covariance matrix for measured double-differential dijet cross-sections for the range 2.0 <= y* < 2.5 and jet radius parameter R = 0.6 +ABS(YRAP(JET1)) : < 3.0 +ABS(YRAP(JET2)) : < 3.0 +PT(JET1) IN GEV : > 100 +PT(JET2) IN GEV : > 50 +R : 0.6 +RE : P P --> JET JET X +SQRT(S) : 7000.0 GeV +YRAP* : 2.0 - 2.5 +x : M(2JET) IN TEV +y : M(2JET) IN TEV +z : cov(x,y) IN PB**+2*TEV**-2 +xlow-xhigh +1.31-1.45 2.29e+04 3.91e+03 -7.24e+02 -1.59e+02 -2.04e+00 -1.45e-01 -4.36e-01 -2.25e-03 +1.45-1.60 3.91e+03 8.52e+03 1.14e+03 -1.86e+02 -1.28e+01 -4.20e-01 -1.25e-01 -1.70e-02 +1.60-1.76 -7.24e+02 1.14e+03 2.63e+03 8.25e+01 -1.65e+01 -1.47e+00 -3.08e-03 -2.31e-03 +1.76-2.12 -1.59e+02 -1.86e+02 8.25e+01 3.50e+02 -3.28e+00 -7.66e-01 4.90e-02 2.40e-03 +2.12-2.55 -2.04e+00 -1.28e+01 -1.65e+01 -3.28e+00 2.63e+01 -2.60e-01 -3.30e-02 2.24e-04 +2.55-3.04 -1.45e-01 -4.20e-01 -1.47e+00 -7.66e-01 -2.60e-01 1.32e+00 -7.64e-03 -6.94e-04 +3.04-3.61 -4.36e-01 -1.25e-01 -3.08e-03 4.90e-02 -3.30e-02 -7.64e-03 2.77e-02 -3.60e-05 +3.61-5.04 -2.25e-03 -1.70e-02 -2.31e-03 2.40e-03 2.24e-04 -6.94e-04 -3.60e-05 1.72e-04 diff --git a/buildmaster/ATLAS_2JET_7TEV_R06/rawdata/dijet_statcov/hepcov_R06_Eta5.txt b/buildmaster/ATLAS_2JET_7TEV_R06/rawdata/dijet_statcov/hepcov_R06_Eta5.txt new file mode 100644 index 0000000000..206041be32 --- /dev/null +++ b/buildmaster/ATLAS_2JET_7TEV_R06/rawdata/dijet_statcov/hepcov_R06_Eta5.txt @@ -0,0 +1,17 @@ +Statistical covariance matrix for measured double-differential dijet cross-sections for the range 2.5 <= y* < 3.0 and jet radius parameter R = 0.6 +ABS(YRAP(JET1)) : < 3.0 +ABS(YRAP(JET2)) : < 3.0 +PT(JET1) IN GEV : > 100 +PT(JET2) IN GEV : > 50 +R : 0.6 +RE : P P --> JET JET X +SQRT(S) : 7000.0 GeV +YRAP* : 2.5 - 3.0 +x : M(2JET) IN TEV +y : M(2JET) IN TEV +z : cov(x,y) IN PB**+2*TEV**-2 +xlow-xhigh +2.12-2.55 3.83e+02 -1.62e-01 -7.74e-01 -6.04e-04 +2.55-3.04 -1.62e-01 5.95e+00 1.27e-01 -8.04e-04 +3.04-3.93 -7.74e-01 1.27e-01 7.63e-01 -5.19e-05 +3.93-5.04 -6.04e-04 -8.04e-04 -5.19e-05 2.47e-04 From e4436b05ec3e3128c7e7229d2053d4e5ce5493aa Mon Sep 17 00:00:00 2001 From: Mark Nestor Costantini Date: Mon, 20 Mar 2023 14:13:27 +0000 Subject: [PATCH 04/40] added tmp filter module --- .../ATLAS_2JET_7TEV_R06/filter_unc_tmp_tmp.py | 196 ++++++++++++++++++ 1 file changed, 196 insertions(+) create mode 100644 buildmaster/ATLAS_2JET_7TEV_R06/filter_unc_tmp_tmp.py diff --git a/buildmaster/ATLAS_2JET_7TEV_R06/filter_unc_tmp_tmp.py b/buildmaster/ATLAS_2JET_7TEV_R06/filter_unc_tmp_tmp.py new file mode 100644 index 0000000000..8ee98256da --- /dev/null +++ b/buildmaster/ATLAS_2JET_7TEV_R06/filter_unc_tmp_tmp.py @@ -0,0 +1,196 @@ +# Filter for ATLAS_2JET_7TEV_R06 +""" +Created on Mar 2023 + +@author: Mark N. Costantini +""" + +import yaml +import numpy as np +import pandas as pd +from scipy.linalg import block_diag + +from validphys.covmats import covmat_from_systematics +from validphys.loader import Loader +import copy +import warnings +warnings.filterwarnings('ignore') + + + +def process_err(error,cv): + """ + Converts an error given in + percentage of the central data + value in absolute value. + Follows the experimental prescription + + Parameters + ---------- + + error : dictionary + e.g. {'label': 'sys', 'symerror': 0.1%} + + cv : float + central value + + Returns + ------- + + + """ + if error['label'] == 'sys': + + if 'asymerror' in error: + d_p = float(error['asymerror']['plus'].strip('%')) / 100. * cv + d_m = float(error['asymerror']['minus'].strip('%')) / 100. * cv + + return d_p / np.sqrt(2.), d_m / np.sqrt(2.) + + else: + sigma = float(error['symerror'].strip('%')) / 100. * cv + return sigma / np.sqrt(2.), -sigma / np.sqrt(2.) + + + +def HEP_table_to_df(heptable,scenario=0): + """ + Given hep data table return a pandas + DataFrame with index given by Ndata, + columns by the uncertainties and + np.nan entries + + Parameters + ---------- + heptable : str + path to hepdata table + + scenario : 0, 1, 2 + 0 = nominal, 1 = stronger, 2 = weaker + """ + + with open(heptable, 'r') as file: + card = yaml.safe_load(file) + + # list of len ndata. Each entry is dict with + # keys errors and value + card = card['dependent_variables'][scenario]['values'] + df = pd.DataFrame(index = range(1,len(card)+1)) + + errors = card[0]['errors'] + for i, err in enumerate(errors): + if i==67: + df["lum_plus"]=np.nan + df["lum_minus"]=np.nan + elif err['label'] == 'sys': + df[f"{err['label']}_plus_{i}"]=np.nan + df[f"{err['label']}_minus_{i}"]=np.nan + + return df + + +def fill_df(heptable,scenario=0): + """ + Fill a data frame with index + corresponding to dijet mass bins + and columns to different uncertainties + Each df is for a fixed rapidity bin. + """ + + with open(heptable, 'r') as file: + card = yaml.safe_load(file) + + # list of len ndata. Each entry is dict with + # keys errors and value + card = card['dependent_variables'][scenario]['values'] + df_nan = HEP_table_to_df(heptable,scenario) + + for i,dat in enumerate(card): + cv = dat['value'] + + for j, err in enumerate(dat['errors']): + + if j == 67: + d_p, d_m = process_err(err,cv) + df_nan.loc[df_nan.index == i+1,"lum_plus"] = d_p + df_nan.loc[df_nan.index == i+1,"lum_minus"] = d_m + + elif err['label'] == 'sys': + d_p, d_m = process_err(err,cv) + df_nan.loc[df_nan.index == i+1,f"{err['label']}_plus_{j}"] = d_p + df_nan.loc[df_nan.index == i+1,f"{err['label']}_minus_{j}"] = d_m + + return df_nan + + + +def filter_ATLAS_2JET_7TEV_R06_test(): + """ + + """ + + with open('metadata.yaml', 'r') as file: + metadata = yaml.safe_load(file) + + version = metadata['hepdata']['version'] + tables = metadata['hepdata']['tables'] + + dfs = [] + for table in tables: + hepdata_tables = f"rawdata/HEPData-ins1268975-v{version}-Table_{table}.yaml" + df = fill_df(hepdata_tables,scenario=0) + dfs.append(df) + + # Construct Covariance matrix for Systematics + Asys = dfs[0].drop(['lum_plus','lum_minus'],axis =1).to_numpy() + for i in range(len(dfs)-1): + Asys = np.concatenate((Asys, dfs[i+1].drop(['lum_plus','lum_minus'], axis = 1).to_numpy()), axis = 0) + Csys = np.einsum('ij,kj->ik',Asys,Asys) + + # Construct Special Sys (Lum) Cov matrix + Alum = dfs[0][['lum_plus','lum_minus']].to_numpy() + for i in range(len(dfs)-1): + Alum = np.concatenate((Alum, dfs[i+1][['lum_plus','lum_minus']].to_numpy()), axis = 0) + Clum = np.einsum('ij,kj->ik',Alum,Alum) + + # construct Block diagonal Covariance matrix + # for statistical errors + ndata = [21, 21, 19, 17, 8, 4] + stat = pd.read_csv(f"rawdata/dijet_statcov/hepcov_R06_Eta0.txt", sep = " ", header = None) + BD_stat = stat.loc[13:,1:ndata[0]].to_numpy().astype(float) + + for i in range(1,6): + stat = pd.read_csv(f"rawdata/dijet_statcov/hepcov_R06_Eta{i}.txt", sep = " ", header = None) + stat = stat.loc[13:,1:ndata[i]].to_numpy().astype(float) + BD_stat = block_diag(BD_stat,stat) + + covmat = Csys + BD_stat + Clum + return covmat + + + +if __name__ == "__main__": + + + setname = "ATLAS_2JET_7TEV_R06" + l = Loader() + cd = l.check_commondata(setname = setname).load_commondata_instance() + dataset_input = l.check_dataset(setname,theoryid=200) + + cov = covmat_from_systematics( + loaded_commondata_with_cuts = cd, + dataset_input = dataset_input, + use_weights_in_covmat=False, + norm_threshold=None, + _central_values=None + ) + + covmat = filter_ATLAS_2JET_7TEV_R06_test() + + ones = cov / covmat + print(ones[0,:]) + print(f"min covmat/cov = {np.min(ones)}") + print(f"max covmat/cov = {np.max(ones)}") + print(f"mean covmat / cov = {np.mean(ones)}") + print(f"np.allclose: {np.allclose(covmat,cov, rtol = 0.001, atol =1e-5)}") + From a876b84fa546ac50d161128de394d26190d4d52f Mon Sep 17 00:00:00 2001 From: Mark Nestor Costantini Date: Wed, 22 Mar 2023 11:37:35 +0000 Subject: [PATCH 05/40] filter file generating data.yaml, kin.yaml, and uncertainties.yaml for the three correlation scenarios --- buildmaster/ATLAS_2JET_7TEV_R06/filter.py | 304 +++++++++++++++++++--- 1 file changed, 265 insertions(+), 39 deletions(-) diff --git a/buildmaster/ATLAS_2JET_7TEV_R06/filter.py b/buildmaster/ATLAS_2JET_7TEV_R06/filter.py index 3826ff0ef4..aa936956ad 100644 --- a/buildmaster/ATLAS_2JET_7TEV_R06/filter.py +++ b/buildmaster/ATLAS_2JET_7TEV_R06/filter.py @@ -6,26 +6,29 @@ """ import yaml +import numpy as np +import pandas as pd +from scipy.linalg import block_diag, cholesky -def range_str_to_floats(str_range): - """ - converts a string range to a list, - e.g. "0.5 - 1.0" --> [0.5,1.0] - """ - # Split the range string into two parts - str_nums = str_range.split('-') - # Convert the parts to floats - min = float(str_nums[0]) - max = float(str_nums[1]) - mid = float(f"{0.5 * (min + max):.3f}") - # Return a dict - return {"min": min, "mid": mid, "max": max} -from_TeV_to_GeV = lambda x: 1e3 * x +from validphys.covmats import dataset_inputs_covmat_from_systematics +from validphys.loader import Loader +import warnings +warnings.filterwarnings('ignore') + -def filter_ATLAS_2JET_7TEV_R06(): +def filter_ATLAS_2JET_7TEV_R06(scenario=0,kin_data=True): """ + Parameters + ---------- + + scenario : 0, 1, 2 + 0 = nominal, 1 = stronger, 2 = weaker + default is 0 + + kin_data : bool + whether to save kin and data """ @@ -37,10 +40,14 @@ def filter_ATLAS_2JET_7TEV_R06(): data_central = [] kin = [] - + dfs = [] for table in tables: hepdata_tables = f"rawdata/HEPData-ins1268975-v{version}-Table_{table}.yaml" + # uncertainties dataframe + df = fill_df(hepdata_tables,scenario=scenario) + dfs.append(df) + with open(hepdata_tables, 'r') as file: input = yaml.safe_load(file) @@ -65,39 +72,258 @@ def filter_ATLAS_2JET_7TEV_R06(): 'sqrt_s' : {'min': None, 'mid': sqrts , 'max': None}} kin.append(kin_value) - - # error_value = {'stat_1': input['dependent_variables'][0]['values'][j]['errors'][0]['symerror'], 'syst_1': input['dependent_variables'][0]['values'][j]['errors'][1]['symerror']} - # error.append(error_value) + + + # Construct Covariance matrix for Systematics + Asys = pd.concat([df.drop(['lum_plus','lum_minus'],axis=1) for df in dfs], axis = 0).to_numpy() + Csys = np.einsum('ij,kj->ik',Asys,Asys) - # error_value_nuc = {'nuclear': input['dependent_variables'][0]['values'][j]['errors'][0]['symerror']} - # error_nuc.append(error_value_nuc) + # Construct Special Sys (Lum) Cov matrix + Alum = pd.concat([df[['lum_plus','lum_minus']] for df in dfs], axis = 0).to_numpy() + Clum = np.einsum('ij,kj->ik',Alum,Alum) + + # construct Block diagonal statistical Covariance matrix + ndata = [21, 21, 19, 17, 8, 4] + stat = pd.read_csv(f"rawdata/dijet_statcov/hepcov_R06_Eta0.txt", sep = " ", header = None) + BD_stat = stat.loc[13:,1:ndata[0]].to_numpy().astype(float) + + for i in range(1,6): + stat = pd.read_csv(f"rawdata/dijet_statcov/hepcov_R06_Eta{i}.txt", sep = " ", header = None) + stat = stat.loc[13:,1:ndata[i]].to_numpy().astype(float) + BD_stat = block_diag(BD_stat,stat) - # error_definition = {'stat_1': {'description': "total statistical uncertainty", 'treatment': "ADD", 'type': "UNCORR"}, - # 'syst_1': {'description': "total systematic uncertainty", 'treatment': "ADD", 'type': "CORR"}} + # full covariance matrix + covmat = Csys + BD_stat + Clum - # error_definition_dw = {'nuclear': {'description': "nuclear uncertainty (deweighted)", 'treatment': "ADD", 'type': "NUC_DW"}} - # error_definition_sh = {'nuclear': {'description': "nuclear uncertainty (shifted)", 'treatment': "ADD", 'type': "NUC_SH"}} + # generate artificial systematics + A_art_sys = decompose_covmat(covmat=covmat) + # error definition + error_definition = {f"art_sys_{i}" : {"description": f"artificial systematic {i}", + "treatment": "ADD", "type": "CORR"} + for i in range(1,A_art_sys.shape[0]+1)} + + # store error in dict + error = [] + for n in range(A_art_sys.shape[0]): + error_value={} + for m in range(A_art_sys.shape[1]): + error_value[f"art_sys_{m+1}"] = float(A_art_sys[n,m]) + error.append(error_value) + + + uncertainties_yaml = {"definition": error_definition, "bins": error} data_central_yaml = { 'data_central' : data_central } kinematics_yaml = { 'bins' : kin } - # uncertainties_yaml = { 'definition': error_definition, 'bins' : error } - # uncertainties_dw_yaml = { 'definition': error_definition_dw, 'bins' : error_nuc } - # uncertainties_sh_yaml = { 'definition': error_definition_sh, 'bins' : error_nuc } + + if kin_data: + 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) + + if scenario==0: + with open("uncertainties.yaml",'w') as file: + yaml.dump(uncertainties_yaml,file, sort_keys=False) + elif scenario==1: + with open("uncertainties_stronger.yaml",'w') as file: + yaml.dump(uncertainties_yaml,file, sort_keys=False) + elif scenario==2: + with open("uncertainties_weaker.yaml",'w') as file: + yaml.dump(uncertainties_yaml,file, sort_keys=False) + + return covmat + + +def range_str_to_floats(str_range): + """ + converts a string range to a list, + e.g. "0.5 - 1.0" --> [0.5,1.0] + """ + # Split the range string into two parts + str_nums = str_range.split('-') + # Convert the parts to floats + min = float(str_nums[0]) + max = float(str_nums[1]) + mid = float(f"{0.5 * (min + max):.3f}") + # Return a dict + return {"min": min, "mid": mid, "max": max} + +def decompose_covmat(covmat): + """Given a covmat it return an array sys with shape (ndat,ndat) + giving ndat correlated systematics for each of the ndat point. + The original covmat is obtained by doing sys@sys.T""" + + lamb, mat = np.linalg.eig(covmat) + sys = np.multiply(np.sqrt(lamb), mat) + return sys + +def process_err(error,cv): + """ + Converts an error given in percentage + of the central data value in absolute value. + + Note: the d'Agostini prescription for the + symmetrization of the error does not hold here. + We follow here the experimental prescription + + Parameters + ---------- + + error : dictionary + e.g. {'label': 'sys', 'symerror': 0.1%} - with open('data.yaml', 'w') as file: - yaml.dump(data_central_yaml, file, sort_keys=False) + cv : float + central value + + Returns + ------- + tuple + tuple containing two floats + + """ + if error['label'] == 'sys': + + if 'asymerror' in error: + d_p = float(error['asymerror']['plus'].strip('%')) / 100. * cv + d_m = float(error['asymerror']['minus'].strip('%')) / 100. * cv + + + tmp1 = d_p + tmp2 = d_m + # case 1: d_p and d_m are both negative + if (tmp1<0.0 and tmp2<0.0): + if(tmp20.0 and tmp2>0.0): + if(tmp1>tmp2): + d_p = tmp1 + d_m = 0.0 + else: + d_p = tmp2 + d_m = 0.0 + return d_p / np.sqrt(2.), d_m / np.sqrt(2.) + + else: + sigma = float(error['symerror'].strip('%')) / 100. * cv + return sigma / np.sqrt(2.), -sigma / np.sqrt(2.) + + + +def HEP_table_to_df(heptable,scenario=0): + """ + Given hep data table return a pandas + DataFrame with index given by Ndata, + columns by the uncertainties and + np.nan entries + + Parameters + ---------- + heptable : str + path to hepdata table + + scenario : 0, 1, 2 + 0 = nominal, 1 = stronger, 2 = weaker + """ + + with open(heptable, 'r') as file: + card = yaml.safe_load(file) + + # list of len ndata. Each entry is dict with + # keys errors and value + card = card['dependent_variables'][scenario]['values'] + df = pd.DataFrame(index = range(1,len(card)+1)) + + errors = card[0]['errors'] + for i, err in enumerate(errors): + if (scenario == 0 and i == 67) or (scenario == 1 and i == 57) or (scenario == 2 and i == 69): + df["lum_plus"]=np.nan + df["lum_minus"]=np.nan + elif err['label'] == 'sys': + df[f"{err['label']}_plus_{i}"]=np.nan + df[f"{err['label']}_minus_{i}"]=np.nan + + return df + + +def fill_df(heptable,scenario=0): + """ + Fill a data frame with index + corresponding to dijet mass bins + and columns to different uncertainties + Each df is for a fixed rapidity bin. + """ + + with open(heptable, 'r') as file: + card = yaml.safe_load(file) + + # list of len ndata. Each entry is dict with + # keys errors and value + card = card['dependent_variables'][scenario]['values'] + df_nan = HEP_table_to_df(heptable,scenario) + + for i,dat in enumerate(card): + cv = dat['value'] + + for j, err in enumerate(dat['errors']): + + if (scenario == 0 and j == 67) or (scenario == 1 and j == 57) or (scenario == 2 and j == 69): + d_p, d_m = process_err(err,cv) + df_nan.loc[df_nan.index == i+1,"lum_plus"] = d_p + df_nan.loc[df_nan.index == i+1,"lum_minus"] = d_m + + elif err['label'] == 'sys': + d_p, d_m = process_err(err,cv) + df_nan.loc[df_nan.index == i+1,f"{err['label']}_plus_{j}"] = d_p + df_nan.loc[df_nan.index == i+1,f"{err['label']}_minus_{j}"] = d_m + + return df_nan + + - 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) - # with open('uncertainties_dw.yaml', 'w') as file: - # yaml.dump(uncertainties_dw_yaml, file, sort_keys=False) - # with open('uncertainties_sh.yaml', 'w') as file: - # yaml.dump(uncertainties_sh_yaml, file, sort_keys=False) if __name__ == "__main__": - filter_ATLAS_2JET_7TEV_R06() \ No newline at end of file + + # generate all uncertainties scenarios + filter_ATLAS_2JET_7TEV_R06(scenario=0,kin_data=True) + filter_ATLAS_2JET_7TEV_R06(scenario=1, kin_data=False) + filter_ATLAS_2JET_7TEV_R06(scenario=2, kin_data=False) + setname = "ATLAS_2JET_7TEV_R06" + l = Loader() + cd = l.check_commondata(setname = setname).load_commondata_instance() + dataset_input = l.check_dataset(setname,theoryid=200) + from validphys.commondataparser import parse_commondata + dat_file = '/Users/markcostantini/codes/nnpdfgit/nnpdf/buildmaster/results/DATA_ATLAS_2JET_7TEV_R06.dat' + sys_file = '/Users/markcostantini/codes/nnpdfgit/nnpdf/buildmaster/results/systypes/SYSTYPE_ATLAS_2JET_7TEV_R06_DEFAULT.dat' + + cd = parse_commondata(dat_file,sys_file,setname) + + cmat = dataset_inputs_covmat_from_systematics( + dataset_inputs_loaded_cd_with_cuts=[cd], + data_input = [dataset_input], + use_weights_in_covmat=False, + norm_threshold=None, + _list_of_central_values=None, + _only_additive=False, + ) + + + covmat = filter_ATLAS_2JET_7TEV_R06(scenario=0,kin_data=False) + + ones = cmat / covmat + print(ones[0,:]) + print(f"min covmat/cov = {np.min(ones)}") + print(f"max covmat/cov = {np.max(ones)}") + print(f"mean covmat / cov = {np.mean(ones)}") + print(f"np.allclose: {np.allclose(covmat,cmat, rtol = 1e05, atol =1e-5)}") + From d985671817596feb210290517733cc03a7612be2 Mon Sep 17 00:00:00 2001 From: Mark Nestor Costantini Date: Wed, 22 Mar 2023 11:37:49 +0000 Subject: [PATCH 06/40] / --- buildmaster/ATLAS_2JET_7TEV_R06/filter_ini.py | 69 ------------------- 1 file changed, 69 deletions(-) delete mode 100644 buildmaster/ATLAS_2JET_7TEV_R06/filter_ini.py diff --git a/buildmaster/ATLAS_2JET_7TEV_R06/filter_ini.py b/buildmaster/ATLAS_2JET_7TEV_R06/filter_ini.py deleted file mode 100644 index 94749e8e21..0000000000 --- a/buildmaster/ATLAS_2JET_7TEV_R06/filter_ini.py +++ /dev/null @@ -1,69 +0,0 @@ -#Filter for NMCPD - -import sys -import yaml - -def filter_ATLAS_2JET_7TEV_R06(): - with open('metadata.yaml', 'r') as file: - metadata = yaml.safe_load(file) - - version = metadata['hepdata']['version'] - tables = metadata['hepdata']['tables'] - - data_central = [] - kin = [] - error = [] - error_nuc = [] - - for i in tables: - hepdata_tables="rawdata/HEPData-ins426595-v"+str(version)+"-Table_"+str(i)+".yaml" - with open(hepdata_tables, 'r') as file: - input = yaml.safe_load(file) - - values = input['dependent_variables'][0]['values'] - x = float(input['dependent_variables'][0]['qualifiers'][4]['value']) - sqrts = float(input['dependent_variables'][0]['qualifiers'][3]['value']) - - for j in range(len(values)): - - data_central_value = input['dependent_variables'][0]['values'][j]['value'] - data_central.append(data_central_value) - Q2 = input['independent_variables'][0]['values'][j]['value'] - y = Q2 / ( sqrts * sqrts * x ) - kin_value = {'x' : {'min': None, 'mid': x , 'max': None}, 'q2' : {'min': None, 'mid': Q2 , 'max': None} , 'y' : {'min': None, 'mid': y , 'max': None}} - kin.append(kin_value) - - error_value = {'stat_1': input['dependent_variables'][0]['values'][j]['errors'][0]['symerror'], 'syst_1': input['dependent_variables'][0]['values'][j]['errors'][1]['symerror']} - error.append(error_value) - - error_value_nuc = {'nuclear': input['dependent_variables'][0]['values'][j]['errors'][0]['symerror']} - error_nuc.append(error_value_nuc) - - error_definition = {'stat_1': {'description': "total statistical uncertainty", 'treatment': "ADD", 'type': "UNCORR"}, - 'syst_1': {'description': "total systematic uncertainty", 'treatment': "ADD", 'type': "CORR"}} - - error_definition_dw = {'nuclear': {'description': "nuclear uncertainty (deweighted)", 'treatment': "ADD", 'type': "NUC_DW"}} - error_definition_sh = {'nuclear': {'description': "nuclear uncertainty (shifted)", 'treatment': "ADD", 'type': "NUC_SH"}} - - data_central_yaml = { 'data_central' : data_central } - kinematics_yaml = { 'bins' : kin } - uncertainties_yaml = { 'definition': error_definition, 'bins' : error } - uncertainties_dw_yaml = { 'definition': error_definition_dw, 'bins' : error_nuc } - uncertainties_sh_yaml = { 'definition': error_definition_sh, 'bins' : error_nuc } - - 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) - - with open('uncertainties_dw.yaml', 'w') as file: - yaml.dump(uncertainties_dw_yaml, file, sort_keys=False) - - with open('uncertainties_sh.yaml', 'w') as file: - yaml.dump(uncertainties_sh_yaml, file, sort_keys=False) - -filter_ATLAS_2JET_7TEV_R06() \ No newline at end of file From 5702c90bb54dfb8587727e82894c333940266816 Mon Sep 17 00:00:00 2001 From: Mark Nestor Costantini Date: Wed, 22 Mar 2023 11:38:04 +0000 Subject: [PATCH 07/40] . --- .../ATLAS_2JET_7TEV_R06/filter_unc_tmp_tmp.py | 196 ------------------ 1 file changed, 196 deletions(-) delete mode 100644 buildmaster/ATLAS_2JET_7TEV_R06/filter_unc_tmp_tmp.py diff --git a/buildmaster/ATLAS_2JET_7TEV_R06/filter_unc_tmp_tmp.py b/buildmaster/ATLAS_2JET_7TEV_R06/filter_unc_tmp_tmp.py deleted file mode 100644 index 8ee98256da..0000000000 --- a/buildmaster/ATLAS_2JET_7TEV_R06/filter_unc_tmp_tmp.py +++ /dev/null @@ -1,196 +0,0 @@ -# Filter for ATLAS_2JET_7TEV_R06 -""" -Created on Mar 2023 - -@author: Mark N. Costantini -""" - -import yaml -import numpy as np -import pandas as pd -from scipy.linalg import block_diag - -from validphys.covmats import covmat_from_systematics -from validphys.loader import Loader -import copy -import warnings -warnings.filterwarnings('ignore') - - - -def process_err(error,cv): - """ - Converts an error given in - percentage of the central data - value in absolute value. - Follows the experimental prescription - - Parameters - ---------- - - error : dictionary - e.g. {'label': 'sys', 'symerror': 0.1%} - - cv : float - central value - - Returns - ------- - - - """ - if error['label'] == 'sys': - - if 'asymerror' in error: - d_p = float(error['asymerror']['plus'].strip('%')) / 100. * cv - d_m = float(error['asymerror']['minus'].strip('%')) / 100. * cv - - return d_p / np.sqrt(2.), d_m / np.sqrt(2.) - - else: - sigma = float(error['symerror'].strip('%')) / 100. * cv - return sigma / np.sqrt(2.), -sigma / np.sqrt(2.) - - - -def HEP_table_to_df(heptable,scenario=0): - """ - Given hep data table return a pandas - DataFrame with index given by Ndata, - columns by the uncertainties and - np.nan entries - - Parameters - ---------- - heptable : str - path to hepdata table - - scenario : 0, 1, 2 - 0 = nominal, 1 = stronger, 2 = weaker - """ - - with open(heptable, 'r') as file: - card = yaml.safe_load(file) - - # list of len ndata. Each entry is dict with - # keys errors and value - card = card['dependent_variables'][scenario]['values'] - df = pd.DataFrame(index = range(1,len(card)+1)) - - errors = card[0]['errors'] - for i, err in enumerate(errors): - if i==67: - df["lum_plus"]=np.nan - df["lum_minus"]=np.nan - elif err['label'] == 'sys': - df[f"{err['label']}_plus_{i}"]=np.nan - df[f"{err['label']}_minus_{i}"]=np.nan - - return df - - -def fill_df(heptable,scenario=0): - """ - Fill a data frame with index - corresponding to dijet mass bins - and columns to different uncertainties - Each df is for a fixed rapidity bin. - """ - - with open(heptable, 'r') as file: - card = yaml.safe_load(file) - - # list of len ndata. Each entry is dict with - # keys errors and value - card = card['dependent_variables'][scenario]['values'] - df_nan = HEP_table_to_df(heptable,scenario) - - for i,dat in enumerate(card): - cv = dat['value'] - - for j, err in enumerate(dat['errors']): - - if j == 67: - d_p, d_m = process_err(err,cv) - df_nan.loc[df_nan.index == i+1,"lum_plus"] = d_p - df_nan.loc[df_nan.index == i+1,"lum_minus"] = d_m - - elif err['label'] == 'sys': - d_p, d_m = process_err(err,cv) - df_nan.loc[df_nan.index == i+1,f"{err['label']}_plus_{j}"] = d_p - df_nan.loc[df_nan.index == i+1,f"{err['label']}_minus_{j}"] = d_m - - return df_nan - - - -def filter_ATLAS_2JET_7TEV_R06_test(): - """ - - """ - - with open('metadata.yaml', 'r') as file: - metadata = yaml.safe_load(file) - - version = metadata['hepdata']['version'] - tables = metadata['hepdata']['tables'] - - dfs = [] - for table in tables: - hepdata_tables = f"rawdata/HEPData-ins1268975-v{version}-Table_{table}.yaml" - df = fill_df(hepdata_tables,scenario=0) - dfs.append(df) - - # Construct Covariance matrix for Systematics - Asys = dfs[0].drop(['lum_plus','lum_minus'],axis =1).to_numpy() - for i in range(len(dfs)-1): - Asys = np.concatenate((Asys, dfs[i+1].drop(['lum_plus','lum_minus'], axis = 1).to_numpy()), axis = 0) - Csys = np.einsum('ij,kj->ik',Asys,Asys) - - # Construct Special Sys (Lum) Cov matrix - Alum = dfs[0][['lum_plus','lum_minus']].to_numpy() - for i in range(len(dfs)-1): - Alum = np.concatenate((Alum, dfs[i+1][['lum_plus','lum_minus']].to_numpy()), axis = 0) - Clum = np.einsum('ij,kj->ik',Alum,Alum) - - # construct Block diagonal Covariance matrix - # for statistical errors - ndata = [21, 21, 19, 17, 8, 4] - stat = pd.read_csv(f"rawdata/dijet_statcov/hepcov_R06_Eta0.txt", sep = " ", header = None) - BD_stat = stat.loc[13:,1:ndata[0]].to_numpy().astype(float) - - for i in range(1,6): - stat = pd.read_csv(f"rawdata/dijet_statcov/hepcov_R06_Eta{i}.txt", sep = " ", header = None) - stat = stat.loc[13:,1:ndata[i]].to_numpy().astype(float) - BD_stat = block_diag(BD_stat,stat) - - covmat = Csys + BD_stat + Clum - return covmat - - - -if __name__ == "__main__": - - - setname = "ATLAS_2JET_7TEV_R06" - l = Loader() - cd = l.check_commondata(setname = setname).load_commondata_instance() - dataset_input = l.check_dataset(setname,theoryid=200) - - cov = covmat_from_systematics( - loaded_commondata_with_cuts = cd, - dataset_input = dataset_input, - use_weights_in_covmat=False, - norm_threshold=None, - _central_values=None - ) - - covmat = filter_ATLAS_2JET_7TEV_R06_test() - - ones = cov / covmat - print(ones[0,:]) - print(f"min covmat/cov = {np.min(ones)}") - print(f"max covmat/cov = {np.max(ones)}") - print(f"mean covmat / cov = {np.mean(ones)}") - print(f"np.allclose: {np.allclose(covmat,cov, rtol = 0.001, atol =1e-5)}") - From 9cc18c7738a539315279947ca603035cad56977d Mon Sep 17 00:00:00 2001 From: Mark Nestor Costantini Date: Wed, 22 Mar 2023 11:38:33 +0000 Subject: [PATCH 08/40] added FKtable name --- buildmaster/ATLAS_2JET_7TEV_R06/metadata.yaml | 18 ++++++++---------- 1 file changed, 8 insertions(+), 10 deletions(-) diff --git a/buildmaster/ATLAS_2JET_7TEV_R06/metadata.yaml b/buildmaster/ATLAS_2JET_7TEV_R06/metadata.yaml index 443c252ad2..4982bd95ea 100644 --- a/buildmaster/ATLAS_2JET_7TEV_R06/metadata.yaml +++ b/buildmaster/ATLAS_2JET_7TEV_R06/metadata.yaml @@ -50,20 +50,18 @@ variants: # Plotting kinematic_coverage: - x: x - q2: q2 -dataset_label: "NMC $d/p$" -plot_x: x -figure_by: - - q2 + ystar: ystar + m12: m12 +dataset_label: "ATLAS dijets 7 TeV, R=0.6" +plot_x: m12 +figure_by: + - ystar # Theory theory: FK_tables: - - - NMCPD_D1 - - NMCPD_D2 - - - NMCPD_P - compound: "RATIO" + - ATLAS_2JET_7TEV_R06 + nnpdf_metadata: nnpdf31_process: "DIJET" From 092a22eaefb8d99fe39d4c8483a44ab8aec4588d Mon Sep 17 00:00:00 2001 From: Mark Nestor Costantini Date: Wed, 22 Mar 2023 11:40:09 +0000 Subject: [PATCH 09/40] added uncertainties yaml files --- .../ATLAS_2JET_7TEV_R06/uncertainties.yaml | 8462 +++++++++++++++++ .../uncertainties_stronger.yaml | 8462 +++++++++++++++++ .../uncertainties_weaker.yaml | 8462 +++++++++++++++++ 3 files changed, 25386 insertions(+) create mode 100644 buildmaster/ATLAS_2JET_7TEV_R06/uncertainties.yaml create mode 100644 buildmaster/ATLAS_2JET_7TEV_R06/uncertainties_stronger.yaml create mode 100644 buildmaster/ATLAS_2JET_7TEV_R06/uncertainties_weaker.yaml diff --git a/buildmaster/ATLAS_2JET_7TEV_R06/uncertainties.yaml b/buildmaster/ATLAS_2JET_7TEV_R06/uncertainties.yaml new file mode 100644 index 0000000000..05caa5cdfa --- /dev/null +++ b/buildmaster/ATLAS_2JET_7TEV_R06/uncertainties.yaml @@ -0,0 +1,8462 @@ +definition: + art_sys_1: + description: artificial systematic 1 + treatment: ADD + type: CORR + art_sys_2: + description: artificial systematic 2 + treatment: ADD + type: CORR + art_sys_3: + description: artificial systematic 3 + treatment: ADD + type: CORR + art_sys_4: + description: artificial systematic 4 + treatment: ADD + type: CORR + art_sys_5: + description: artificial systematic 5 + treatment: ADD + type: CORR + art_sys_6: + description: artificial systematic 6 + treatment: ADD + type: CORR + art_sys_7: + description: artificial systematic 7 + treatment: ADD + type: CORR + art_sys_8: + description: artificial systematic 8 + treatment: ADD + type: CORR + art_sys_9: + description: artificial systematic 9 + treatment: ADD + type: CORR + art_sys_10: + description: artificial systematic 10 + treatment: ADD + type: CORR + art_sys_11: + description: artificial systematic 11 + treatment: ADD + type: CORR + art_sys_12: + description: artificial systematic 12 + treatment: ADD + type: CORR + art_sys_13: + description: artificial systematic 13 + treatment: ADD + type: CORR + art_sys_14: + description: artificial systematic 14 + treatment: ADD + type: CORR + art_sys_15: + description: artificial systematic 15 + treatment: ADD + type: CORR + art_sys_16: + description: artificial systematic 16 + treatment: ADD + type: CORR + art_sys_17: + description: artificial systematic 17 + treatment: ADD + type: CORR + art_sys_18: + description: artificial systematic 18 + treatment: ADD + type: CORR + art_sys_19: + description: artificial systematic 19 + treatment: ADD + type: CORR + art_sys_20: + description: artificial systematic 20 + treatment: ADD + type: CORR + art_sys_21: + description: artificial systematic 21 + treatment: ADD + type: CORR + art_sys_22: + description: artificial systematic 22 + treatment: ADD + type: CORR + art_sys_23: + description: artificial systematic 23 + treatment: ADD + type: CORR + art_sys_24: + description: artificial systematic 24 + treatment: ADD + type: CORR + art_sys_25: + description: artificial systematic 25 + treatment: ADD + type: CORR + art_sys_26: + description: artificial systematic 26 + treatment: ADD + type: CORR + art_sys_27: + description: artificial systematic 27 + treatment: ADD + type: CORR + art_sys_28: + description: artificial systematic 28 + treatment: ADD + type: CORR + art_sys_29: + description: artificial systematic 29 + treatment: ADD + type: CORR + art_sys_30: + description: artificial systematic 30 + treatment: ADD + type: CORR + art_sys_31: + description: artificial systematic 31 + treatment: ADD + type: CORR + art_sys_32: + description: artificial systematic 32 + treatment: ADD + type: CORR + art_sys_33: + description: artificial systematic 33 + treatment: ADD + type: CORR + art_sys_34: + description: artificial systematic 34 + treatment: ADD + type: CORR + art_sys_35: + description: artificial systematic 35 + treatment: ADD + type: CORR + art_sys_36: + description: artificial systematic 36 + treatment: ADD + type: CORR + art_sys_37: + description: artificial systematic 37 + treatment: ADD + type: CORR + art_sys_38: + description: artificial systematic 38 + treatment: ADD + type: CORR + art_sys_39: + description: artificial systematic 39 + treatment: ADD + type: CORR + art_sys_40: + 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6.796363729801309e-07 + art_sys_81: -2.6654309998368786e-07 + art_sys_82: 1.767551372484589e-06 + art_sys_83: 1.428567867106693e-07 + art_sys_84: -2.9348927595185675e-07 + art_sys_85: 2.456318955378396e-06 + art_sys_86: 1.3573120662276111e-06 + art_sys_87: 1.3570540541339036e-08 + art_sys_88: -4.149044458109425e-09 + art_sys_89: 3.1876013629629067e-09 + art_sys_90: -2.6224294839087077e-09 +- art_sys_1: 0.007187398678998848 + art_sys_2: 0.0039060504929365053 + art_sys_3: -0.005421735824689296 + art_sys_4: 0.0035836338144822457 + art_sys_5: 0.0011536934920479411 + art_sys_6: -0.0006574490444924869 + art_sys_7: 0.0020574366238504983 + art_sys_8: -0.000703682196012957 + art_sys_9: 8.150354433480005e-05 + art_sys_10: 0.0007256915432073914 + art_sys_11: 0.0007879825830976325 + art_sys_12: 0.0005701302339346845 + art_sys_13: 0.00025704889322326815 + art_sys_14: -0.0007581191104736145 + art_sys_15: -0.0009155829859916611 + art_sys_16: 9.523930427590654e-05 + art_sys_17: 0.00014253234321687664 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art_sys_45: 7.53216081775133e-05 + art_sys_46: 6.900595892906511e-06 + art_sys_47: 0.0001894178348873156 + art_sys_48: -8.910923460552995e-05 + art_sys_49: 0.00028511206032625204 + art_sys_50: -0.00014555852729892138 + art_sys_51: 9.291014628288957e-05 + art_sys_52: 0.00014983641204952802 + art_sys_53: -0.00030275651846611677 + art_sys_54: 0.00030759556803157764 + art_sys_55: 0.00012971077131669563 + art_sys_56: 1.6722050154143e-05 + art_sys_57: 7.879220747414266e-05 + art_sys_58: -7.523216336396361e-06 + art_sys_59: -0.0002330283369385996 + art_sys_60: 4.2266381703713116e-05 + art_sys_61: 5.336171594284093e-05 + art_sys_62: -4.013784179504599e-05 + art_sys_63: 5.888815999206499e-05 + art_sys_64: 7.726129262847345e-05 + art_sys_65: 0.00030281596912891254 + art_sys_66: 6.993206713429745e-06 + art_sys_67: -9.342119052644717e-06 + art_sys_68: 0.00021569688131515757 + art_sys_69: -2.295421808930016e-05 + art_sys_70: 2.1992030032178667e-05 + art_sys_71: -3.0986778239378476e-05 + art_sys_72: -2.3250997614035803e-05 + art_sys_73: -0.00017150069050935496 + art_sys_74: 3.845418474144895e-05 + art_sys_75: -4.133854558676338e-06 + art_sys_76: 2.2098431404943367e-06 + art_sys_77: -3.4720668250467507e-06 + art_sys_78: -2.826755802025515e-05 + art_sys_79: 8.869429979324943e-06 + art_sys_80: -1.5351957130003305e-06 + art_sys_81: -1.716915149812163e-05 + art_sys_82: -2.8445121658973778e-05 + art_sys_83: -7.178999563539467e-05 + art_sys_84: 5.712221738379301e-05 + art_sys_85: -0.015828895910155648 + art_sys_86: 0.00026014991581364887 + art_sys_87: 3.3038336452788437e-06 + art_sys_88: -1.7951549281625039e-06 + art_sys_89: -2.9553080739810487e-07 + art_sys_90: -9.589074897151079e-08 From 8e1eefd557149281668c1448a692e1e3eb0f6277 Mon Sep 17 00:00:00 2001 From: Mark Nestor Costantini Date: Thu, 23 Mar 2023 15:32:00 +0000 Subject: [PATCH 10/40] split filter_dataset into kinematics / data and uncertainties --- buildmaster/ATLAS_2JET_7TEV_R06/filter.py | 132 +++++++++++++--------- 1 file changed, 81 insertions(+), 51 deletions(-) diff --git a/buildmaster/ATLAS_2JET_7TEV_R06/filter.py b/buildmaster/ATLAS_2JET_7TEV_R06/filter.py index aa936956ad..6933419932 100644 --- a/buildmaster/ATLAS_2JET_7TEV_R06/filter.py +++ b/buildmaster/ATLAS_2JET_7TEV_R06/filter.py @@ -8,8 +8,7 @@ import yaml import numpy as np import pandas as pd -from scipy.linalg import block_diag, cholesky - +from scipy.linalg import block_diag from validphys.covmats import dataset_inputs_covmat_from_systematics from validphys.loader import Loader @@ -18,18 +17,12 @@ -def filter_ATLAS_2JET_7TEV_R06(scenario=0,kin_data=True): - """ - Parameters - ---------- +SCENARIO = {'nominal':0, 'stronger':1, 'weaker':2} - scenario : 0, 1, 2 - 0 = nominal, 1 = stronger, 2 = weaker - default is 0 - - kin_data : bool - whether to save kin and data - +def filter_ATLAS_2JET_7TEV_R06_data_kinetic(): + """ + writes kinetic and data central values + to yaml file """ with open('metadata.yaml', 'r') as file: @@ -40,30 +33,32 @@ def filter_ATLAS_2JET_7TEV_R06(scenario=0,kin_data=True): data_central = [] kin = [] - dfs = [] + for table in tables: - hepdata_tables = f"rawdata/HEPData-ins1268975-v{version}-Table_{table}.yaml" - # uncertainties dataframe - df = fill_df(hepdata_tables,scenario=scenario) - dfs.append(df) + hepdata_tables = f"rawdata/HEPData-ins1268975-v{version}-Table_{table}.yaml" with open(hepdata_tables, 'r') as file: input = yaml.safe_load(file) + # half of rapidity separation, index 8 of qualifiers list ystar = range_str_to_floats(input['dependent_variables'][0]['qualifiers'][8]['value']) + # center of mass energy, index 7 of qualifiers list sqrts = float(input['dependent_variables'][0]['qualifiers'][7]['value']) # measurements of several dijet mass values values = input['dependent_variables'][0]['values'] - # loop over different diijet mass bins - for i,value in enumerate(values): + # loop over different dijet mass bins + m12_values = input['independent_variables'][0]['values'] + for value, m12 in zip(values, m12_values): + + # central values data_central_value = value['value'] data_central.append(data_central_value) - - m12 = input['independent_variables'][0]['values'][i] + + # kinematics m12['low'], m12['high'] = 1e3 * m12['low'], 1e3 * m12['high'] m12['mid'] = float(f"{0.5 * (m12['low']+m12['high']):.3f}") @@ -73,6 +68,47 @@ def filter_ATLAS_2JET_7TEV_R06(scenario=0,kin_data=True): kin.append(kin_value) + data_central_yaml = { 'data_central' : data_central } + kinematics_yaml = { 'bins' : kin } + + 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) + + + +def filter_ATLAS_2JET_7TEV_R06_uncertainties(scenario='nominal'): + """ + write uncertainties to yaml file depending on + the correlation scenario + + Parameters + ---------- + + scenario : string + can be either nominal, stronger orweaker + default is nominal + + + """ + + with open('metadata.yaml', 'r') as file: + metadata = yaml.safe_load(file) + + version = metadata['hepdata']['version'] + tables = metadata['hepdata']['tables'] + + + dfs = [] + for table in tables: + hepdata_tables = f"rawdata/HEPData-ins1268975-v{version}-Table_{table}.yaml" + + # uncertainties dataframe + df = fill_df(hepdata_tables,scenario=scenario) + dfs.append(df) + # Construct Covariance matrix for Systematics Asys = pd.concat([df.drop(['lum_plus','lum_minus'],axis=1) for df in dfs], axis = 0).to_numpy() @@ -113,24 +149,12 @@ def filter_ATLAS_2JET_7TEV_R06(scenario=0,kin_data=True): uncertainties_yaml = {"definition": error_definition, "bins": error} - data_central_yaml = { 'data_central' : data_central } - kinematics_yaml = { 'bins' : kin } - - if kin_data: - 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) - - if scenario==0: - with open("uncertainties.yaml",'w') as file: - yaml.dump(uncertainties_yaml,file, sort_keys=False) - elif scenario==1: - with open("uncertainties_stronger.yaml",'w') as file: + + if scenario == 'nominal': + with open(f"uncertainties.yaml",'w') as file: yaml.dump(uncertainties_yaml,file, sort_keys=False) - elif scenario==2: - with open("uncertainties_weaker.yaml",'w') as file: + else: + with open(f"uncertainties_{scenario}.yaml",'w') as file: yaml.dump(uncertainties_yaml,file, sort_keys=False) return covmat @@ -217,7 +241,7 @@ def process_err(error,cv): -def HEP_table_to_df(heptable,scenario=0): +def HEP_table_to_df(heptable,scenario='nominal'): """ Given hep data table return a pandas DataFrame with index given by Ndata, @@ -232,20 +256,22 @@ def HEP_table_to_df(heptable,scenario=0): scenario : 0, 1, 2 0 = nominal, 1 = stronger, 2 = weaker """ - + with open(heptable, 'r') as file: card = yaml.safe_load(file) # list of len ndata. Each entry is dict with # keys errors and value - card = card['dependent_variables'][scenario]['values'] + card = card['dependent_variables'][SCENARIO[scenario]]['values'] df = pd.DataFrame(index = range(1,len(card)+1)) errors = card[0]['errors'] for i, err in enumerate(errors): - if (scenario == 0 and i == 67) or (scenario == 1 and i == 57) or (scenario == 2 and i == 69): + # for the luminosity uncertainty + if (scenario == 'nominal' and i == 67) or (scenario == 'stronger' and i == 57) or (scenario == 'weaker' and i == 69): df["lum_plus"]=np.nan df["lum_minus"]=np.nan + elif err['label'] == 'sys': df[f"{err['label']}_plus_{i}"]=np.nan df[f"{err['label']}_minus_{i}"]=np.nan @@ -253,7 +279,7 @@ def HEP_table_to_df(heptable,scenario=0): return df -def fill_df(heptable,scenario=0): +def fill_df(heptable,scenario='nominal'): """ Fill a data frame with index corresponding to dijet mass bins @@ -266,7 +292,7 @@ def fill_df(heptable,scenario=0): # list of len ndata. Each entry is dict with # keys errors and value - card = card['dependent_variables'][scenario]['values'] + card = card['dependent_variables'][SCENARIO[scenario]]['values'] df_nan = HEP_table_to_df(heptable,scenario) for i,dat in enumerate(card): @@ -274,7 +300,7 @@ def fill_df(heptable,scenario=0): for j, err in enumerate(dat['errors']): - if (scenario == 0 and j == 67) or (scenario == 1 and j == 57) or (scenario == 2 and j == 69): + if (scenario == 'nominal' and j == 67) or (scenario == 'stronger' and j == 57) or (scenario == 'weaker' and j == 69): d_p, d_m = process_err(err,cv) df_nan.loc[df_nan.index == i+1,"lum_plus"] = d_p df_nan.loc[df_nan.index == i+1,"lum_minus"] = d_m @@ -294,10 +320,14 @@ def fill_df(heptable,scenario=0): if __name__ == "__main__": + # generate kinematics and central data values + filter_ATLAS_2JET_7TEV_R06_data_kinetic() + # generate all uncertainties scenarios - filter_ATLAS_2JET_7TEV_R06(scenario=0,kin_data=True) - filter_ATLAS_2JET_7TEV_R06(scenario=1, kin_data=False) - filter_ATLAS_2JET_7TEV_R06(scenario=2, kin_data=False) + filter_ATLAS_2JET_7TEV_R06_uncertainties(scenario='nominal') + filter_ATLAS_2JET_7TEV_R06_uncertainties(scenario='stronger') + filter_ATLAS_2JET_7TEV_R06_uncertainties(scenario='weaker') + setname = "ATLAS_2JET_7TEV_R06" l = Loader() cd = l.check_commondata(setname = setname).load_commondata_instance() @@ -318,12 +348,12 @@ def fill_df(heptable,scenario=0): ) - covmat = filter_ATLAS_2JET_7TEV_R06(scenario=0,kin_data=False) + covmat = filter_ATLAS_2JET_7TEV_R06_uncertainties(scenario='nominal') ones = cmat / covmat print(ones[0,:]) print(f"min covmat/cov = {np.min(ones)}") print(f"max covmat/cov = {np.max(ones)}") print(f"mean covmat / cov = {np.mean(ones)}") - print(f"np.allclose: {np.allclose(covmat,cmat, rtol = 1e05, atol =1e-5)}") + print(f"np.allclose: {np.allclose(covmat,cmat, rtol = 1e-5, atol =1e-5)}") From 193dacac454841ac52cb6abb0f8f75d63dd144a3 Mon Sep 17 00:00:00 2001 From: Mark Nestor Costantini Date: Thu, 23 Mar 2023 15:43:16 +0000 Subject: [PATCH 11/40] added module to reproduce bugged sys from old CD implementation --- .../ATLAS_2JET_7TEV_R06/filter_bugged.py | 53 +++++++++++++++++++ 1 file changed, 53 insertions(+) create mode 100644 buildmaster/ATLAS_2JET_7TEV_R06/filter_bugged.py diff --git a/buildmaster/ATLAS_2JET_7TEV_R06/filter_bugged.py b/buildmaster/ATLAS_2JET_7TEV_R06/filter_bugged.py new file mode 100644 index 0000000000..7fd1876d55 --- /dev/null +++ b/buildmaster/ATLAS_2JET_7TEV_R06/filter_bugged.py @@ -0,0 +1,53 @@ +from validphys.api import API +import numpy as np +import yaml + +def decompose_covmat(covmat): + """Given a covmat it return an array sys with shape (ndat,ndat) + giving ndat correlated systematics for each of the ndat point. + The original covmat is obtained by doing sys@sys.T""" + + lamb, mat = np.linalg.eig(covmat) + sys = np.multiply(np.sqrt(lamb), mat) + return sys + + +def filter_ATLAS_2JET_7TEV_R06_uncertainties_bugged(): + """ + - read covmat from old CommonData format + - compute artificial uncertainties and save them to + .yaml file + """ + inp = dict( + dataset_input={'dataset': 'ATLAS_2JET_7TEV_R06'}, + theoryid=200, + use_cuts="internal" + ) + + covmat = API.covmat_from_systematics(**inp) + + # generate artificial systematics + A_art_sys = decompose_covmat(covmat=covmat) + + # store error in dict + error = [] + for n in range(A_art_sys.shape[0]): + error_value={} + for m in range(A_art_sys.shape[1]): + error_value[f"art_sys_{m+1}"] = float(A_art_sys[n,m]) + error.append(error_value) + + # error definition + error_definition = {f"art_sys_{i}" : {"description": f"bugged artificial systematic {i}", + "treatment": "ADD", "type": "CORR"} + for i in range(1,A_art_sys.shape[0]+1)} + + uncertainties_yaml = {"definition": error_definition, "bins": error} + + + with open("uncertainties_bugged.yaml",'w') as file: + yaml.dump(uncertainties_yaml,file, sort_keys=False) + + +if __name__ == "__main__": + filter_ATLAS_2JET_7TEV_R06_uncertainties_bugged() \ No newline at end of file From 7da0b7688b0ec03d7b9ba9f3bf330383f7a44fb7 Mon Sep 17 00:00:00 2001 From: Mark Nestor Costantini Date: Thu, 23 Mar 2023 15:46:48 +0000 Subject: [PATCH 12/40] ignore pandas warnings --- buildmaster/ATLAS_2JET_7TEV_R06/filter.py | 2 ++ 1 file changed, 2 insertions(+) diff --git a/buildmaster/ATLAS_2JET_7TEV_R06/filter.py b/buildmaster/ATLAS_2JET_7TEV_R06/filter.py index 6933419932..7a9f315e57 100644 --- a/buildmaster/ATLAS_2JET_7TEV_R06/filter.py +++ b/buildmaster/ATLAS_2JET_7TEV_R06/filter.py @@ -12,6 +12,8 @@ from validphys.covmats import dataset_inputs_covmat_from_systematics from validphys.loader import Loader + +# ignore pandas warning import warnings warnings.filterwarnings('ignore') From 23bc3d4547c33acbc12351c9c9dd6ffa957c48f1 Mon Sep 17 00:00:00 2001 From: Mark Nestor Costantini Date: Thu, 23 Mar 2023 17:57:08 +0000 Subject: [PATCH 13/40] lum unc treated as special unc, correlated with all ATLAS 7 TEV --- buildmaster/ATLAS_2JET_7TEV_R06/filter.py | 43 +++++++++++++++-------- 1 file changed, 28 insertions(+), 15 deletions(-) diff --git a/buildmaster/ATLAS_2JET_7TEV_R06/filter.py b/buildmaster/ATLAS_2JET_7TEV_R06/filter.py index 7a9f315e57..d1780f52d7 100644 --- a/buildmaster/ATLAS_2JET_7TEV_R06/filter.py +++ b/buildmaster/ATLAS_2JET_7TEV_R06/filter.py @@ -113,12 +113,13 @@ def filter_ATLAS_2JET_7TEV_R06_uncertainties(scenario='nominal'): # Construct Covariance matrix for Systematics - Asys = pd.concat([df.drop(['lum_plus','lum_minus'],axis=1) for df in dfs], axis = 0).to_numpy() + Asys = pd.concat([df.drop(['lum'],axis=1) for df in dfs], axis = 0).to_numpy() Csys = np.einsum('ij,kj->ik',Asys,Asys) # Construct Special Sys (Lum) Cov matrix - Alum = pd.concat([df[['lum_plus','lum_minus']] for df in dfs], axis = 0).to_numpy() + Alum = pd.concat([df[['lum']] for df in dfs], axis = 0).to_numpy() Clum = np.einsum('ij,kj->ik',Alum,Alum) + # construct Block diagonal statistical Covariance matrix ndata = [21, 21, 19, 17, 8, 4] @@ -130,26 +131,30 @@ def filter_ATLAS_2JET_7TEV_R06_uncertainties(scenario='nominal'): stat = stat.loc[13:,1:ndata[i]].to_numpy().astype(float) BD_stat = block_diag(BD_stat,stat) - # full covariance matrix - covmat = Csys + BD_stat + Clum + # covariance matrix without the special systematics, that is, ATLASLUMI11 + covmat_no_lum = Csys + BD_stat # generate artificial systematics - A_art_sys = decompose_covmat(covmat=covmat) + A_art_sys = decompose_covmat(covmat=covmat_no_lum) # error definition error_definition = {f"art_sys_{i}" : {"description": f"artificial systematic {i}", "treatment": "ADD", "type": "CORR"} for i in range(1,A_art_sys.shape[0]+1)} + error_definition["luminosity_uncertainty"] = {"description": "luminosity uncertainty", + "treatment": "ADD", "type": "ATLASLUMI11"} + # store error in dict error = [] for n in range(A_art_sys.shape[0]): error_value={} for m in range(A_art_sys.shape[1]): error_value[f"art_sys_{m+1}"] = float(A_art_sys[n,m]) + + error_value["luminosity_uncertainty"] = float(Alum[n]) error.append(error_value) - uncertainties_yaml = {"definition": error_definition, "bins": error} if scenario == 'nominal': @@ -159,7 +164,7 @@ def filter_ATLAS_2JET_7TEV_R06_uncertainties(scenario='nominal'): with open(f"uncertainties_{scenario}.yaml",'w') as file: yaml.dump(uncertainties_yaml,file, sort_keys=False) - return covmat + return covmat_no_lum + Clum def range_str_to_floats(str_range): @@ -209,7 +214,12 @@ def process_err(error,cv): tuple containing two floats """ - if error['label'] == 'sys': + if "lum" in error: + # luminosity uncertainty is always symmetric + sigma = float(error['symerror'].strip('%')) / 100. * cv + return sigma + + elif error['label'] == 'sys': if 'asymerror' in error: d_p = float(error['asymerror']['plus'].strip('%')) / 100. * cv @@ -269,10 +279,9 @@ def HEP_table_to_df(heptable,scenario='nominal'): errors = card[0]['errors'] for i, err in enumerate(errors): - # for the luminosity uncertainty + # luminosity uncertainty, always symmetric if (scenario == 'nominal' and i == 67) or (scenario == 'stronger' and i == 57) or (scenario == 'weaker' and i == 69): - df["lum_plus"]=np.nan - df["lum_minus"]=np.nan + df["lum"] = np.nan elif err['label'] == 'sys': df[f"{err['label']}_plus_{i}"]=np.nan @@ -303,9 +312,13 @@ def fill_df(heptable,scenario='nominal'): for j, err in enumerate(dat['errors']): if (scenario == 'nominal' and j == 67) or (scenario == 'stronger' and j == 57) or (scenario == 'weaker' and j == 69): - d_p, d_m = process_err(err,cv) - df_nan.loc[df_nan.index == i+1,"lum_plus"] = d_p - df_nan.loc[df_nan.index == i+1,"lum_minus"] = d_m + # d_p, d_m = process_err(err,cv) + # df_nan.loc[df_nan.index == i+1,"lum_plus"] = d_p + # df_nan.loc[df_nan.index == i+1,"lum_minus"] = d_m + err["lum"]="lum" + sigma = process_err(err,cv) + + df_nan.loc[df_nan.index == i+1, "lum"] = sigma elif err['label'] == 'sys': d_p, d_m = process_err(err,cv) @@ -322,7 +335,7 @@ def fill_df(heptable,scenario='nominal'): if __name__ == "__main__": - # generate kinematics and central data values + # # generate kinematics and central data values filter_ATLAS_2JET_7TEV_R06_data_kinetic() # generate all uncertainties scenarios From 2182d1943e19fa82f92a4d9cc882f6b6d28e3e02 Mon Sep 17 00:00:00 2001 From: Mark Nestor Costantini Date: Thu, 23 Mar 2023 17:59:33 +0000 Subject: [PATCH 14/40] cholesky decomposition of Csys + Cstat matrix is not unique --- .../ATLAS_2JET_7TEV_R06/uncertainties.yaml | 16294 ++++++++-------- .../uncertainties_stronger.yaml | 16294 ++++++++-------- .../uncertainties_weaker.yaml | 16294 ++++++++-------- 3 files changed, 24582 insertions(+), 24300 deletions(-) diff --git a/buildmaster/ATLAS_2JET_7TEV_R06/uncertainties.yaml b/buildmaster/ATLAS_2JET_7TEV_R06/uncertainties.yaml index 05caa5cdfa..5b1cc79a56 100644 --- a/buildmaster/ATLAS_2JET_7TEV_R06/uncertainties.yaml +++ b/buildmaster/ATLAS_2JET_7TEV_R06/uncertainties.yaml @@ -359,8104 +359,8198 @@ definition: description: artificial systematic 90 treatment: ADD type: CORR + luminosity_uncertainty: + description: luminosity uncertainty + treatment: ADD + type: ATLASLUMI11 bins: -- art_sys_1: 92333.98053129675 - art_sys_2: -7941.227197208455 - art_sys_3: 1173.318538450761 - art_sys_4: 1414.591542810694 - art_sys_5: -27.463431258235442 - art_sys_6: 43.822854759786225 - art_sys_7: -58.484880790857126 - art_sys_8: 12.32791693237314 - art_sys_9: 0.034381695913684895 - art_sys_10: -5.571041888984514 - art_sys_11: 3.908078832777594 - art_sys_12: 2.5796962823340666 - art_sys_13: 0.637776103864566 - art_sys_14: -1.2518757332496275 - art_sys_15: -1.3913478414156413 - art_sys_16: 0.30024997805399967 - art_sys_17: 0.16818664905397981 - art_sys_18: 0.18062731016711045 - art_sys_19: 0.04287668943575685 - art_sys_20: 0.1512218099984333 - art_sys_21: -0.1551519407685051 - art_sys_22: 0.03518807128452834 - art_sys_23: 0.028999491284178853 - art_sys_24: 0.04843473409777589 - art_sys_25: 0.003897331137465256 - art_sys_26: -0.03324504480645871 - art_sys_27: 0.0054472897827861294 - art_sys_28: -0.018103705354636995 - art_sys_29: 0.008909061231022716 - art_sys_30: 0.005886046605573792 - art_sys_31: 0.0011415453721824436 - art_sys_32: 0.005270803233026849 - art_sys_33: 0.003324481928905302 - art_sys_34: 0.0004011775063441534 - art_sys_35: 0.0006280097708287744 - art_sys_36: -0.000812468094170088 - art_sys_37: 4.8944334601636855e-05 - art_sys_38: -0.0003826352525837327 - art_sys_39: -0.0011253601972590545 - art_sys_40: -0.00017017950044562378 - art_sys_41: 3.8406521529829486e-05 - art_sys_42: 0.00014420617136466643 - art_sys_43: -4.2184537833562417e-05 - art_sys_44: 5.920493126459382e-05 - art_sys_45: 1.5791336396486894e-05 - art_sys_46: 2.5550459670766214e-06 - art_sys_47: -3.1517597310641056e-05 - art_sys_48: 1.1304146899634804e-05 - art_sys_49: -2.172063186575738e-05 - art_sys_50: -1.0382663013166263e-05 - art_sys_51: -9.025055702372008e-06 - art_sys_52: 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+ art_sys_75: 3.132377883731282e-06 + art_sys_76: -1.3632544282032509e-07 + art_sys_77: 6.875017284091976e-06 + art_sys_78: 5.140863530454154e-07 + art_sys_79: -1.0459325310316417e-06 + art_sys_80: -7.473048479327135e-07 + art_sys_81: -2.7233824045497807e-07 + art_sys_82: 1.9083748903916676e-06 + art_sys_83: -1.6626041219918916e-07 + art_sys_84: 3.386781319242961e-07 + art_sys_85: -2.4738849687570686e-06 + art_sys_86: 1.3824327622467339e-06 + art_sys_87: -1.587921575936532e-08 + art_sys_88: 1.2491025232545903e-09 + art_sys_89: 2.0987525382638635e-09 + art_sys_90: -2.3537417384060177e-09 + luminosity_uncertainty: 0.04356 +- art_sys_1: 0.0072646589390254115 + art_sys_2: 0.003802478649331159 + art_sys_3: -0.005454910998404079 + art_sys_4: 0.003486553539405364 + art_sys_5: 0.0011324487356474083 + art_sys_6: 0.0006727617605431103 + art_sys_7: -0.0020548504157866495 + art_sys_8: 0.0007284732500331123 + art_sys_9: -0.00010702465682987418 + art_sys_10: 0.000744592790388182 + art_sys_11: 0.0007942963233437357 + art_sys_12: 0.0005439380010910697 + art_sys_13: 0.00024477399959580467 + art_sys_14: -0.0007612740986684923 + art_sys_15: -0.0009168081774324751 + art_sys_16: 0.00012516838470964144 + art_sys_17: 0.00011993541787230365 + art_sys_18: 0.0008253409452873826 + art_sys_19: 0.0001793584028152739 + art_sys_20: 6.596818929576488e-05 + art_sys_21: -0.00021408392920754265 + art_sys_22: -4.640786392577161e-05 + art_sys_23: -0.00033780421655537366 + art_sys_24: -0.0005167749630792351 + art_sys_25: -0.00022324806200125862 + art_sys_26: 4.6391931502561985e-05 + art_sys_27: 0.00027762127739864147 + art_sys_28: -4.542745026895478e-06 + art_sys_29: -0.0003106855369891384 + art_sys_30: -0.0002818156005118529 + art_sys_31: -5.621840272678227e-05 + art_sys_32: -0.0003165120712805309 + art_sys_33: -0.00023429330628213323 + art_sys_34: -0.00028182920687777624 + art_sys_35: -0.00025426605999048156 + art_sys_36: -5.786395871929712e-05 + art_sys_37: -0.0001546336604584175 + art_sys_38: 0.00020755168149835248 + art_sys_39: 0.00014284174700074492 + art_sys_40: -1.4500158849477885e-05 + art_sys_41: 0.00015353478632321128 + art_sys_42: -0.0002556532668237051 + art_sys_43: 0.00020923618811083852 + art_sys_44: 0.00012133528363571102 + art_sys_45: -3.9956943792040046e-05 + art_sys_46: 4.274862615275662e-06 + art_sys_47: -0.00016558231451062585 + art_sys_48: 8.65306178938699e-05 + art_sys_49: 0.0002687604039690364 + art_sys_50: -0.00016501327166389276 + art_sys_51: -0.0001022948806849356 + art_sys_52: 0.0001265074719907696 + art_sys_53: 0.0002965718870761827 + art_sys_54: -0.00029567448979581757 + art_sys_55: 0.000130140189354854 + art_sys_56: -2.8909256772663327e-05 + art_sys_57: 9.300526615799288e-05 + art_sys_58: 1.3682127312668256e-05 + art_sys_59: 0.0002171349912661963 + art_sys_60: 5.001387078796084e-05 + art_sys_61: -6.775775755371261e-05 + art_sys_62: -1.5311510309798307e-05 + art_sys_63: 5.0468765267505376e-05 + art_sys_64: -9.328116779574405e-05 + art_sys_65: -0.00027685344496339466 + art_sys_66: -6.1719977230069125e-06 + art_sys_67: -1.426859068124612e-05 + art_sys_68: -0.0002165156666834957 + art_sys_69: -2.919218106714013e-05 + art_sys_70: -1.8022743653016182e-05 + art_sys_71: 5.742579448020136e-05 + art_sys_72: 2.8121822314851626e-05 + art_sys_73: 0.00015386692338065339 + art_sys_74: 8.315960284311712e-06 + art_sys_75: 5.4712970578085066e-05 + art_sys_76: 6.235245726701987e-06 + art_sys_77: 1.4043665344526567e-05 + art_sys_78: 2.7996463917680958e-05 + art_sys_79: -2.6796269768518392e-05 + art_sys_80: -1.6004017429927488e-06 + art_sys_81: -1.7798525271343174e-05 + art_sys_82: -4.297027078237237e-06 + art_sys_83: 5.5849544157677306e-05 + art_sys_84: -2.5163545072473142e-05 + art_sys_85: 0.015827446996975584 + art_sys_86: 0.00024461763624456537 + art_sys_87: -2.832497264278105e-06 + art_sys_88: -2.8199832036396774e-06 + art_sys_89: -6.671036694616793e-09 + art_sys_90: -1.5454317246805338e-07 + luminosity_uncertainty: 0.0003780000000000001 From 11ef765c03db4aa1c610222677b9bfef4c5c415d Mon Sep 17 00:00:00 2001 From: Mark Nestor Costantini Date: Mon, 27 Mar 2023 16:57:53 +0100 Subject: [PATCH 15/40] compute special sys in bugged filter --- .../ATLAS_2JET_7TEV_R06/filter_bugged.py | 52 ++++++++++++------- 1 file changed, 34 insertions(+), 18 deletions(-) diff --git a/buildmaster/ATLAS_2JET_7TEV_R06/filter_bugged.py b/buildmaster/ATLAS_2JET_7TEV_R06/filter_bugged.py index 7fd1876d55..9cee52b83f 100644 --- a/buildmaster/ATLAS_2JET_7TEV_R06/filter_bugged.py +++ b/buildmaster/ATLAS_2JET_7TEV_R06/filter_bugged.py @@ -1,7 +1,11 @@ -from validphys.api import API +from validphys.loader import Loader import numpy as np import yaml + +INTRA_DATASET_SYS_NAME = ("UNCORR", "CORR", "THEORYUNCORR", "THEORYCORR") +setname = "ATLAS_2JET_7TEV_R06" + def decompose_covmat(covmat): """Given a covmat it return an array sys with shape (ndat,ndat) giving ndat correlated systematics for each of the ndat point. @@ -18,33 +22,45 @@ def filter_ATLAS_2JET_7TEV_R06_uncertainties_bugged(): - compute artificial uncertainties and save them to .yaml file """ - inp = dict( - dataset_input={'dataset': 'ATLAS_2JET_7TEV_R06'}, - theoryid=200, - use_cuts="internal" - ) + + l = Loader() + cd = l.check_commondata(setname=setname).load_commondata_instance() - covmat = API.covmat_from_systematics(**inp) + sys_errors = cd.systematic_errors() + + is_intra_dataset_error = sys_errors.columns.isin(INTRA_DATASET_SYS_NAME) - # generate artificial systematics - A_art_sys = decompose_covmat(covmat=covmat) + sys = sys_errors.loc[:,is_intra_dataset_error] + + # construct sys Covmat and decompose so as to have the same + # amount of artificial sys as in the new CD implementation + C_sys = np.einsum('ij,kj->ik',sys,sys) + A_sys = decompose_covmat(C_sys) + # special sys, ATLASLUMI11 + atlas_lumi = sys_errors.loc[:, ~is_intra_dataset_error].to_numpy() + + # error definition + error_definition = {f"art_sys_{i}" : {"description": f"artificial systematic {i}", + "treatment": "ADD", "type": "CORR"} + for i in range(1,A_sys.shape[0]+1)} + + error_definition["luminosity_uncertainty"] = {"description": "luminosity uncertainty", + "treatment": "ADD", "type": "ATLASLUMI11"} + # store error in dict error = [] - for n in range(A_art_sys.shape[0]): + for n in range(A_sys.shape[0]): error_value={} - for m in range(A_art_sys.shape[1]): - error_value[f"art_sys_{m+1}"] = float(A_art_sys[n,m]) + for m in range(A_sys.shape[1]): + error_value[f"art_sys_{m+1}"] = float(A_sys[n,m]) + + error_value["luminosity_uncertainty"] = float(atlas_lumi[n]) error.append(error_value) - # error definition - error_definition = {f"art_sys_{i}" : {"description": f"bugged artificial systematic {i}", - "treatment": "ADD", "type": "CORR"} - for i in range(1,A_art_sys.shape[0]+1)} - uncertainties_yaml = {"definition": error_definition, "bins": error} - + # save uncertainties to .yaml file with open("uncertainties_bugged.yaml",'w') as file: yaml.dump(uncertainties_yaml,file, sort_keys=False) From 5a1b78561f518afaace8608a64715b41fecf15e9 Mon Sep 17 00:00:00 2001 From: Mark Nestor Costantini Date: Mon, 27 Mar 2023 16:58:24 +0100 Subject: [PATCH 16/40] added bugged uncertainties --- .../uncertainties_bugged.yaml | 8556 +++++++++++++++++ 1 file changed, 8556 insertions(+) create mode 100644 buildmaster/ATLAS_2JET_7TEV_R06/uncertainties_bugged.yaml diff --git a/buildmaster/ATLAS_2JET_7TEV_R06/uncertainties_bugged.yaml b/buildmaster/ATLAS_2JET_7TEV_R06/uncertainties_bugged.yaml new file mode 100644 index 0000000000..88db848f17 --- /dev/null +++ b/buildmaster/ATLAS_2JET_7TEV_R06/uncertainties_bugged.yaml @@ -0,0 +1,8556 @@ +definition: + art_sys_1: + description: artificial systematic 1 + treatment: ADD + type: CORR + art_sys_2: + description: artificial systematic 2 + treatment: ADD + type: CORR + art_sys_3: + description: artificial systematic 3 + treatment: ADD + type: CORR + art_sys_4: + description: artificial systematic 4 + treatment: ADD + type: CORR + art_sys_5: + description: artificial systematic 5 + treatment: ADD + type: CORR + art_sys_6: + description: artificial systematic 6 + treatment: ADD + type: CORR + art_sys_7: + description: artificial systematic 7 + treatment: ADD + type: CORR + art_sys_8: + description: artificial systematic 8 + treatment: ADD + type: CORR + art_sys_9: + description: artificial systematic 9 + treatment: ADD + type: CORR + art_sys_10: + description: artificial systematic 10 + treatment: ADD + type: CORR + art_sys_11: + description: artificial systematic 11 + treatment: ADD + type: CORR + art_sys_12: + description: artificial systematic 12 + treatment: ADD + type: CORR + art_sys_13: + description: artificial systematic 13 + treatment: ADD + type: CORR + art_sys_14: + description: artificial systematic 14 + treatment: ADD + type: CORR + art_sys_15: + description: artificial systematic 15 + treatment: ADD + type: CORR + art_sys_16: + description: artificial systematic 16 + treatment: ADD + type: CORR + art_sys_17: + description: artificial systematic 17 + treatment: ADD + type: CORR + art_sys_18: + description: artificial systematic 18 + treatment: ADD + type: CORR + art_sys_19: + description: artificial systematic 19 + treatment: ADD + type: CORR + art_sys_20: + description: artificial systematic 20 + treatment: ADD + type: CORR + art_sys_21: + description: artificial systematic 21 + treatment: ADD + type: CORR + art_sys_22: + description: artificial systematic 22 + treatment: ADD + type: CORR + art_sys_23: + description: artificial systematic 23 + treatment: ADD + type: CORR + art_sys_24: + description: artificial systematic 24 + treatment: ADD + type: CORR + art_sys_25: + description: artificial systematic 25 + treatment: ADD + type: CORR + art_sys_26: + description: artificial systematic 26 + treatment: ADD + type: CORR + art_sys_27: + description: artificial systematic 27 + treatment: ADD + type: CORR + art_sys_28: + description: artificial systematic 28 + treatment: ADD + type: CORR + art_sys_29: + description: artificial systematic 29 + treatment: ADD + type: CORR + art_sys_30: + description: artificial systematic 30 + treatment: ADD + type: CORR + art_sys_31: + description: artificial systematic 31 + treatment: ADD + type: CORR + art_sys_32: + description: artificial systematic 32 + treatment: ADD + type: CORR + art_sys_33: + description: artificial systematic 33 + treatment: ADD + type: CORR + art_sys_34: + description: artificial systematic 34 + treatment: ADD + type: CORR + art_sys_35: + description: artificial systematic 35 + treatment: ADD + type: CORR + art_sys_36: + description: artificial systematic 36 + treatment: ADD + type: CORR + art_sys_37: + description: artificial systematic 37 + treatment: ADD + type: CORR + art_sys_38: + description: artificial systematic 38 + treatment: ADD + type: CORR + art_sys_39: + description: artificial systematic 39 + treatment: ADD + type: CORR + art_sys_40: + description: artificial systematic 40 + treatment: ADD + type: CORR + art_sys_41: + description: artificial systematic 41 + treatment: ADD + type: CORR + art_sys_42: + description: artificial systematic 42 + treatment: ADD + type: CORR + art_sys_43: + description: artificial systematic 43 + treatment: ADD + type: CORR + art_sys_44: + description: artificial systematic 44 + treatment: ADD + type: CORR + art_sys_45: + description: artificial systematic 45 + treatment: ADD + type: CORR + art_sys_46: + description: artificial systematic 46 + treatment: ADD + type: CORR + art_sys_47: + description: artificial systematic 47 + treatment: ADD + type: CORR + art_sys_48: + description: artificial systematic 48 + treatment: ADD + type: CORR + art_sys_49: + description: artificial systematic 49 + treatment: ADD + type: CORR + art_sys_50: + description: artificial systematic 50 + treatment: ADD + type: CORR + art_sys_51: + description: artificial systematic 51 + treatment: ADD + type: CORR + art_sys_52: + description: artificial systematic 52 + treatment: ADD + type: CORR + art_sys_53: + description: artificial systematic 53 + treatment: ADD + type: CORR + art_sys_54: + description: artificial systematic 54 + treatment: ADD + type: CORR + art_sys_55: + description: artificial systematic 55 + treatment: ADD + type: CORR + art_sys_56: + description: artificial systematic 56 + treatment: ADD + type: CORR + art_sys_57: + description: artificial systematic 57 + treatment: ADD + type: CORR + art_sys_58: + description: artificial systematic 58 + treatment: ADD + type: CORR + art_sys_59: + description: artificial systematic 59 + treatment: ADD + type: CORR + art_sys_60: + description: artificial systematic 60 + treatment: ADD + type: CORR + art_sys_61: + description: artificial systematic 61 + treatment: ADD + type: CORR + art_sys_62: + description: artificial systematic 62 + treatment: ADD + type: CORR + art_sys_63: + description: artificial systematic 63 + treatment: ADD + type: CORR + art_sys_64: + description: artificial systematic 64 + treatment: ADD + type: CORR + art_sys_65: + description: artificial systematic 65 + treatment: ADD + type: CORR + art_sys_66: + description: artificial systematic 66 + treatment: ADD + type: CORR + art_sys_67: + description: artificial systematic 67 + treatment: ADD + type: CORR + art_sys_68: + description: artificial systematic 68 + treatment: ADD + type: CORR + art_sys_69: + description: artificial systematic 69 + treatment: ADD + type: CORR + art_sys_70: + description: artificial systematic 70 + treatment: ADD + type: CORR + art_sys_71: + description: artificial systematic 71 + treatment: ADD + type: CORR + art_sys_72: + description: artificial systematic 72 + treatment: ADD + type: CORR + art_sys_73: + description: artificial systematic 73 + treatment: ADD + type: CORR + art_sys_74: + description: artificial systematic 74 + treatment: ADD + type: CORR + art_sys_75: + description: artificial systematic 75 + treatment: ADD + type: CORR + art_sys_76: + description: artificial systematic 76 + treatment: ADD + type: CORR + art_sys_77: + description: artificial systematic 77 + treatment: ADD + type: CORR + art_sys_78: + description: artificial systematic 78 + treatment: ADD + type: CORR + art_sys_79: + description: artificial systematic 79 + treatment: ADD + type: CORR + art_sys_80: + description: artificial systematic 80 + treatment: ADD + type: CORR + art_sys_81: + description: artificial systematic 81 + treatment: ADD + type: CORR + art_sys_82: + description: artificial systematic 82 + treatment: ADD + type: CORR + art_sys_83: + description: artificial systematic 83 + treatment: ADD + type: CORR + art_sys_84: + description: artificial systematic 84 + treatment: ADD + type: CORR + art_sys_85: + description: artificial systematic 85 + treatment: ADD + type: CORR + art_sys_86: + description: artificial systematic 86 + treatment: ADD + type: CORR + art_sys_87: + description: artificial systematic 87 + treatment: ADD 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1.6840872701289837e-06 + art_sys_90: -1.0303401054577455e-06 + luminosity_uncertainty: 0.000378 From f3a7ba7131a70e2af3b40655911d73f4a8705ee4 Mon Sep 17 00:00:00 2001 From: Mark Nestor Costantini Date: Mon, 27 Mar 2023 18:06:44 +0100 Subject: [PATCH 17/40] added folder for CMS_2JET_7TEV datasetss --- buildmaster/CMS_2JET_7TEV/data.yaml | 55 ++ buildmaster/CMS_2JET_7TEV/filter.py | 86 +++ buildmaster/CMS_2JET_7TEV/kinematics.yaml | 649 ++++++++++++++++++ buildmaster/CMS_2JET_7TEV/metadata.yaml | 65 ++ .../HEPData-ins1208923-v1-Table_10.yaml | 58 ++ .../HEPData-ins1208923-v1-Table_6.yaml | 88 +++ .../HEPData-ins1208923-v1-Table_7.yaml | 82 +++ .../HEPData-ins1208923-v1-Table_8.yaml | 76 ++ .../HEPData-ins1208923-v1-Table_9.yaml | 70 ++ .../CMS_2JET_7TEV/rawdata/dijet_corr.dat | 76 ++ .../CMS_2JET_7TEV/rawdata/dijet_sys.dat | 101 +++ 11 files changed, 1406 insertions(+) create mode 100644 buildmaster/CMS_2JET_7TEV/data.yaml create mode 100644 buildmaster/CMS_2JET_7TEV/filter.py create mode 100644 buildmaster/CMS_2JET_7TEV/kinematics.yaml create mode 100644 buildmaster/CMS_2JET_7TEV/metadata.yaml create mode 100644 buildmaster/CMS_2JET_7TEV/rawdata/HEPData-ins1208923-v1-Table_10.yaml create mode 100644 buildmaster/CMS_2JET_7TEV/rawdata/HEPData-ins1208923-v1-Table_6.yaml create mode 100644 buildmaster/CMS_2JET_7TEV/rawdata/HEPData-ins1208923-v1-Table_7.yaml create mode 100644 buildmaster/CMS_2JET_7TEV/rawdata/HEPData-ins1208923-v1-Table_8.yaml create mode 100644 buildmaster/CMS_2JET_7TEV/rawdata/HEPData-ins1208923-v1-Table_9.yaml create mode 100644 buildmaster/CMS_2JET_7TEV/rawdata/dijet_corr.dat create mode 100644 buildmaster/CMS_2JET_7TEV/rawdata/dijet_sys.dat diff --git a/buildmaster/CMS_2JET_7TEV/data.yaml b/buildmaster/CMS_2JET_7TEV/data.yaml new file mode 100644 index 0000000000..8319258e62 --- /dev/null +++ b/buildmaster/CMS_2JET_7TEV/data.yaml @@ -0,0 +1,55 @@ +data_central: +- 195.0 +- 25.9 +- 4.81 +- 0.888 +- 0.202 +- 0.0497 +- 0.0129 +- 0.00322 +- 0.00088 +- 0.000172 +- 4.02e-05 +- 5.41e-06 +- 1.14e-06 +- 182.0 +- 29.8 +- 5.63 +- 1.27 +- 0.298 +- 0.0752 +- 0.0183 +- 0.00423 +- 0.000963 +- 0.000177 +- 2.2e-05 +- 3.57e-06 +- 65.3 +- 12.0 +- 2.78 +- 0.704 +- 0.152 +- 0.0369 +- 0.00908 +- 0.00184 +- 0.000249 +- 2.23e-05 +- 1.51e-06 +- 42.2 +- 8.61 +- 2.03 +- 0.564 +- 0.102 +- 0.0281 +- 0.0063 +- 0.0013 +- 0.000135 +- 4.48e-06 +- 4.98 +- 1.18 +- 0.304 +- 0.0627 +- 0.0077 +- 0.00247 +- 0.000628 +- 1.21e-05 diff --git a/buildmaster/CMS_2JET_7TEV/filter.py b/buildmaster/CMS_2JET_7TEV/filter.py new file mode 100644 index 0000000000..6b76003402 --- /dev/null +++ b/buildmaster/CMS_2JET_7TEV/filter.py @@ -0,0 +1,86 @@ +import yaml + + +def filter_CMS_2JET_7TRV_data_kinetic(): + """ + writes kinetic and data central values + to yaml file + """ + + with open('metadata.yaml', 'r') as file: + metadata = yaml.safe_load(file) + + version = metadata['hepdata']['version'] + tables = metadata['hepdata']['tables'] + + data_central = [] + kin = [] + + for table in tables: + + hepdata_tables = f"rawdata/HEPData-ins1208923-v{version}-Table_{table}.yaml" + + with open(hepdata_tables, 'r') as file: + input = yaml.safe_load(file) + + rapidity_interval = input['dependent_variables'][0]['qualifiers'][0]['value'] + ydiff = {} + if rapidity_interval == '< 0.5': + ydiff['min'], ydiff['max'], ydiff['mid'] = 0.0, 0.5, 0.25 + else: + ydiff = range_str_to_floats(rapidity_interval) + + sqrts = float(input['dependent_variables'][0]['qualifiers'][2]['value']) + + dijet_mass_bins = input['independent_variables'][0]['values'] + + values = input['dependent_variables'][0]['values'] + + for value, m12 in zip(values, dijet_mass_bins): + + # central values + data_central_value = value['value'] + data_central.append(data_central_value) + + # kinematics + m12['low'], m12['high'] = m12['low'], m12['high'] + m12['mid'] = float(f"{0.5 * (m12['low']+m12['high']):.3f}") + + kin_value = {'ydiff' : {'min': ydiff['min'], 'mid': ydiff['mid'] , 'max': ydiff['max']}, + 'm12' : {'min': m12['low'], 'mid': m12['mid'] , 'max': m12['high']} , + 'sqrt_s' : {'min': None, 'mid': sqrts , 'max': None}} + + kin.append(kin_value) + + data_central_yaml = { 'data_central' : data_central } + kinematics_yaml = { 'bins' : kin } + + 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) + + + +def range_str_to_floats(str_range): + """ + converts a string range to a list, + e.g. "0.5 - 1.0" --> [0.5,1.0] + and returns a dictionary + """ + # Split the range string into two parts + str_nums = str_range.split('-') + # Convert the parts to floats + min = float(str_nums[0]) + max = float(str_nums[1]) + mid = float(f"{0.5 * (min + max):.3f}") + # Return a dict + return {"min": min, "mid": mid, "max": max} + + + +if __name__ == "__main__": + + # save kinematics and central values + filter_CMS_2JET_7TRV_data_kinetic() \ No newline at end of file diff --git a/buildmaster/CMS_2JET_7TEV/kinematics.yaml b/buildmaster/CMS_2JET_7TEV/kinematics.yaml new file mode 100644 index 0000000000..5bed0da86d --- /dev/null +++ b/buildmaster/CMS_2JET_7TEV/kinematics.yaml @@ -0,0 +1,649 @@ +bins: +- ydiff: + min: 0.0 + mid: 0.25 + max: 0.5 + m12: + min: 197.0 + mid: 246.5 + max: 296.0 + sqrt_s: + min: null + mid: 7000.0 + max: null +- ydiff: + min: 0.0 + mid: 0.25 + max: 0.5 + m12: + min: 296.0 + mid: 357.5 + max: 419.0 + sqrt_s: + min: null + mid: 7000.0 + max: null +- ydiff: + min: 0.0 + mid: 0.25 + max: 0.5 + m12: + min: 419.0 + mid: 492.0 + max: 565.0 + sqrt_s: + min: null + mid: 7000.0 + max: null +- ydiff: + min: 0.0 + mid: 0.25 + max: 0.5 + m12: + min: 565.0 + mid: 652.5 + max: 740.0 + sqrt_s: + min: null + mid: 7000.0 + max: null +- ydiff: + min: 0.0 + mid: 0.25 + max: 0.5 + m12: + min: 740.0 + mid: 842.0 + max: 944.0 + sqrt_s: + min: null + mid: 7000.0 + max: null +- ydiff: + min: 0.0 + mid: 0.25 + max: 0.5 + m12: + min: 944.0 + mid: 1062.5 + max: 1181.0 + sqrt_s: + min: null + mid: 7000.0 + max: null +- ydiff: + min: 0.0 + mid: 0.25 + max: 0.5 + m12: + min: 1181.0 + mid: 1318.0 + max: 1455.0 + sqrt_s: + min: null + mid: 7000.0 + max: null +- ydiff: + min: 0.0 + mid: 0.25 + max: 0.5 + m12: + min: 1455.0 + mid: 1612.5 + max: 1770.0 + sqrt_s: + min: null + mid: 7000.0 + max: null +- ydiff: + min: 0.0 + mid: 0.25 + max: 0.5 + m12: + min: 1770.0 + mid: 1951.0 + max: 2132.0 + sqrt_s: + min: null + mid: 7000.0 + max: null +- ydiff: + min: 0.0 + mid: 0.25 + max: 0.5 + m12: + min: 2132.0 + mid: 2339.0 + max: 2546.0 + sqrt_s: + min: null + mid: 7000.0 + max: null +- ydiff: + min: 0.0 + mid: 0.25 + max: 0.5 + m12: + min: 2546.0 + mid: 2782.5 + max: 3019.0 + sqrt_s: + min: null + mid: 7000.0 + max: null +- ydiff: + min: 0.0 + mid: 0.25 + max: 0.5 + m12: + min: 3019.0 + mid: 3217.5 + max: 3416.0 + sqrt_s: + min: null + mid: 7000.0 + max: null +- ydiff: + min: 0.0 + mid: 0.25 + max: 0.5 + m12: + min: 3416.0 + mid: 3713.0 + 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b/buildmaster/CMS_2JET_7TEV/metadata.yaml @@ -0,0 +1,65 @@ +# Generalia + + setname: "CMS_2JET_7TEV" + ndata: 54 + observable: + description: "Double-differential dijet cross-sections as functions of dijet mass and rapidity separation of the two highest-pT jets." + label: r"$10^{3*qbin} d^2\sigma/dm_{12}dy$ [pb/GeV]" + units: "" + + kinematics: + variables: + ydiff: {description: "rapidity separation", label: "$y$", units: ""} + m12: {description: "dijet mass", label: "$m_{12}$", units: ""} + sqrt_s: {description: "center of mass energy", label: r"$\sqrt(s)$", units: "GeV"} + file: kinematics.yaml + + version: 0 + version_comment: "Initial implementation" + + # References + arXiv: + url: "https://arxiv.org/pdf/1212.6660.pdf" + iNSPIRE: + url: "https://inspirehep.net/literature/1208923" + hepdata: + url: "https://www.hepdata.net/record/ins1208923" + version: 1 + tables: [6, 7, 8, 9, 10] + + # Data + data_central: data.yaml + data_uncertainties: + - uncertainties.yaml + + # Data (variants) + variants: + deweighted: + data_uncertainties: + - uncertainties.yaml + - uncertainties_dw.yaml + shifted: + data_uncertainties: + - uncertainties.yaml + - uncertainties_sh.yaml + + # Plotting + kinematic_coverage: + x: x + q2: q2 + dataset_label: "NMC $d/p$" + plot_x: x + figure_by: + - q2 + + # Theory + theory: + FK_tables: + - - NMCPD_D1 + - NMCPD_D2 + - - NMCPD_P + compound: "RATIO" + + nnpdf_metadata: + nnpdf31_process: "DIJET" + experiment: "CMS" \ No newline at end of file diff --git a/buildmaster/CMS_2JET_7TEV/rawdata/HEPData-ins1208923-v1-Table_10.yaml b/buildmaster/CMS_2JET_7TEV/rawdata/HEPData-ins1208923-v1-Table_10.yaml new file mode 100644 index 0000000000..335ba30f76 --- /dev/null +++ b/buildmaster/CMS_2JET_7TEV/rawdata/HEPData-ins1208923-v1-Table_10.yaml @@ -0,0 +1,58 @@ +dependent_variables: +- header: {name: D2(SIG)/DM/DYRAP, units: PB/GEV} + qualifiers: + - {name: ABS(YRAP), value: 2.0-2.5} + - {name: RE, value: P P --> JET JET X} + - {name: SQRT(S), units: GeV, value: '7000.0'} + values: + - errors: + - {label: stat, symerror: 0.292} + - asymerror: {minus: -0.623, plus: 0.749} + label: sys + value: 4.98 + - errors: + - {label: stat, symerror: 0.129} + - asymerror: {minus: -0.154, plus: 0.185} + label: sys + value: 1.18 + - errors: + - {label: stat, symerror: 0.0366} + - asymerror: {minus: -0.0407, plus: 0.0481} + label: sys + value: 0.304 + - errors: + - {label: stat, symerror: 0.0112} + - asymerror: {minus: -0.00915, plus: 0.0111} + label: sys + value: 0.0627 + - errors: + - {label: stat, symerror: 0.00337} + - asymerror: {minus: -0.00123, plus: 0.00142} + label: sys + value: 0.0077 + - errors: + - {label: stat, symerror: 0.000955} + - asymerror: {minus: -0.000478, plus: 0.000585} + label: sys + value: 0.00247 + - errors: + - {label: stat, symerror: 0.000137} + - asymerror: {minus: -0.000154, plus: 0.000189} + label: sys + value: 0.000628 + - errors: + - {label: stat, symerror: 1.25e-05} + - asymerror: {minus: -4.97e-06, plus: 8.72e-06} + label: sys + value: 1.21e-05 +independent_variables: +- header: {name: M(2JET), units: GEV} + values: + - {high: 1246.0, low: 1000.0} + - {high: 1530.0, low: 1246.0} + - {high: 1856.0, low: 1530.0} + - {high: 2231.0, low: 1856.0} + - {high: 2659.0, low: 2231.0} + - {high: 3147.0, low: 2659.0} + - {high: 3704.0, low: 3147.0} + - {high: 5058.0, low: 3704.0} diff --git a/buildmaster/CMS_2JET_7TEV/rawdata/HEPData-ins1208923-v1-Table_6.yaml b/buildmaster/CMS_2JET_7TEV/rawdata/HEPData-ins1208923-v1-Table_6.yaml new file mode 100644 index 0000000000..25e5deab14 --- /dev/null +++ b/buildmaster/CMS_2JET_7TEV/rawdata/HEPData-ins1208923-v1-Table_6.yaml @@ -0,0 +1,88 @@ +dependent_variables: +- header: {name: D2(SIG)/DM/DYRAP, units: PB/GEV} + qualifiers: + - {name: ABS(YRAP), value: < 0.5} + - {name: RE, value: P P --> JET JET X} + - {name: SQRT(S), units: GeV, value: '7000.0'} + values: + - errors: + - {label: stat, symerror: 2.8} + - asymerror: {minus: -11.6, plus: 14.5} + label: sys + value: 195.0 + - errors: + - {label: stat, symerror: 0.78} + - asymerror: {minus: -1.35, plus: 1.65} + label: sys + value: 25.9 + - errors: + - {label: stat, symerror: 0.142} + - asymerror: {minus: -0.232, plus: 0.278} + label: sys + value: 4.81 + - errors: + - {label: stat, symerror: 0.0101} + - asymerror: {minus: -0.0421, plus: 0.05} + label: sys + value: 0.888 + - errors: + - {label: stat, symerror: 0.002} + - asymerror: {minus: -0.0098, plus: 0.0115} + label: sys + value: 0.202 + - errors: + - {label: stat, symerror: 0.00076} + - asymerror: {minus: -0.0025, plus: 0.00295} + label: sys + value: 0.0497 + - errors: + - {label: stat, symerror: 0.00012} + - asymerror: {minus: -0.0007, plus: 0.00082} + label: sys + value: 0.0129 + - errors: + - {label: stat, symerror: 5.3e-05} + - asymerror: {minus: -0.000191, plus: 0.000226} + label: sys + value: 0.00322 + - errors: + - {label: stat, symerror: 2.57e-05} + - asymerror: {minus: -5.91e-05, plus: 7.01e-05} + label: sys + value: 0.00088 + - errors: + - {label: stat, symerror: 1.08e-05} + - asymerror: {minus: -1.35e-05, plus: 1.62e-05} + label: sys + value: 0.000172 + - errors: + - {label: stat, symerror: 4.76e-06} + - asymerror: {minus: -3.8e-06, plus: 4.62e-06} + label: sys + value: 4.02e-05 + - errors: + - {label: stat, symerror: 2.03e-06} + - asymerror: {minus: -6.16e-07, plus: 7.61e-07} + label: sys + value: 5.41e-06 + - errors: + - {label: stat, symerror: 7.33e-07} + - asymerror: {minus: -1.58e-07, plus: 1.95e-07} + label: sys + value: 1.14e-06 +independent_variables: +- header: {name: M(2JET), units: GEV} + values: + - {high: 296.0, low: 197.0} + - {high: 419.0, low: 296.0} + - {high: 565.0, low: 419.0} + - {high: 740.0, low: 565.0} + - {high: 944.0, low: 740.0} + - {high: 1181.0, low: 944.0} + - {high: 1455.0, low: 1181.0} + - {high: 1770.0, low: 1455.0} + - {high: 2132.0, low: 1770.0} + - {high: 2546.0, low: 2132.0} + - {high: 3019.0, low: 2546.0} + - {high: 3416.0, low: 3019.0} + - {high: 4010.0, low: 3416.0} diff --git a/buildmaster/CMS_2JET_7TEV/rawdata/HEPData-ins1208923-v1-Table_7.yaml b/buildmaster/CMS_2JET_7TEV/rawdata/HEPData-ins1208923-v1-Table_7.yaml new file mode 100644 index 0000000000..7c8ee69452 --- /dev/null +++ b/buildmaster/CMS_2JET_7TEV/rawdata/HEPData-ins1208923-v1-Table_7.yaml @@ -0,0 +1,82 @@ +dependent_variables: +- header: {name: D2(SIG)/DM/DYRAP, units: PB/GEV} + qualifiers: + - {name: ABS(YRAP), value: 0.5-1.0} + - {name: RE, value: P P --> JET JET X} + - {name: SQRT(S), units: GeV, value: '7000.0'} + values: + - errors: + - {label: stat, symerror: 2.5} + - asymerror: {minus: -10.2, plus: 12.4} + label: sys + value: 182.0 + - errors: + - {label: stat, symerror: 0.65} + - asymerror: {minus: -1.53, plus: 1.83} + label: sys + value: 29.8 + - errors: + - {label: stat, symerror: 0.136} + - asymerror: {minus: -0.275, plus: 0.327} + label: sys + value: 5.63 + - errors: + - {label: stat, symerror: 0.011} + - asymerror: {minus: -0.062, plus: 0.073} + label: sys + value: 1.27 + - errors: + - {label: stat, symerror: 0.0024} + - asymerror: {minus: -0.015, plus: 0.0176} + label: sys + value: 0.298 + - errors: + - {label: stat, symerror: 0.00102} + - asymerror: {minus: -0.00403, plus: 0.00474} + label: sys + value: 0.0752 + - errors: + - {label: stat, symerror: 0.00013} + - asymerror: {minus: -0.00107, plus: 0.00126} + label: sys + value: 0.0183 + - errors: + - {label: stat, symerror: 5.8e-05} + - asymerror: {minus: -0.000278, plus: 0.000331} + label: sys + value: 0.00423 + - errors: + - {label: stat, symerror: 2.57e-05} + - asymerror: {minus: -7.3e-05, plus: 8.74e-05} + label: sys + value: 0.000963 + - errors: + - {label: stat, symerror: 1.04e-05} + - asymerror: {minus: -1.59e-05, plus: 1.94e-05} + label: sys + value: 0.000177 + - errors: + - {label: stat, symerror: 3.52e-06} + - asymerror: {minus: -2.42e-06, plus: 3.03e-06} + label: sys + value: 2.2e-05 + - errors: + - {label: stat, symerror: 1.28e-06} + - asymerror: {minus: -4.92e-07, plus: 6.43e-07} + label: sys + value: 3.57e-06 +independent_variables: +- header: {name: M(2JET), units: GEV} + values: + - {high: 386.0, low: 270.0} + - {high: 526.0, low: 386.0} + - {high: 693.0, low: 526.0} + - {high: 890.0, low: 693.0} + - {high: 1118.0, low: 890.0} + - {high: 1383.0, low: 1118.0} + - {high: 1687.0, low: 1383.0} + - {high: 2037.0, low: 1687.0} + - {high: 2438.0, low: 2037.0} + - {high: 2895.0, low: 2438.0} + - {high: 3416.0, low: 2895.0} + - {high: 4010.0, low: 3416.0} diff --git a/buildmaster/CMS_2JET_7TEV/rawdata/HEPData-ins1208923-v1-Table_8.yaml b/buildmaster/CMS_2JET_7TEV/rawdata/HEPData-ins1208923-v1-Table_8.yaml new file mode 100644 index 0000000000..13d3f80b54 --- /dev/null +++ b/buildmaster/CMS_2JET_7TEV/rawdata/HEPData-ins1208923-v1-Table_8.yaml @@ -0,0 +1,76 @@ +dependent_variables: +- header: {name: D2(SIG)/DM/DYRAP, units: PB/GEV} + qualifiers: + - {name: ABS(YRAP), value: 1.0-1.5} + - {name: RE, value: P P --> JET JET X} + - {name: SQRT(S), units: GeV, value: '7000.0'} + values: + - errors: + - {label: stat, symerror: 1.36} + - asymerror: {minus: -3.78, plus: 4.46} + label: sys + value: 65.3 + - errors: + - {label: stat, symerror: 0.43} + - asymerror: {minus: -0.65, plus: 0.77} + label: sys + value: 12.0 + - errors: + - {label: stat, symerror: 0.092} + - asymerror: {minus: -0.148, plus: 0.173} + label: sys + value: 2.78 + - errors: + - {label: stat, symerror: 0.0432} + - asymerror: {minus: -0.0383, plus: 0.045} + label: sys + value: 0.704 + - errors: + - {label: stat, symerror: 0.0032} + - asymerror: {minus: -0.0086, plus: 0.0101} + label: sys + value: 0.152 + - errors: + - {label: stat, symerror: 0.00073} + - asymerror: {minus: -0.00226, plus: 0.00267} + label: sys + value: 0.0369 + - errors: + - {label: stat, symerror: 0.000312} + - asymerror: {minus: -0.000611, plus: 0.000728} + label: sys + value: 0.00908 + - errors: + - {label: stat, symerror: 3.8e-05} + - asymerror: {minus: -0.000142, plus: 0.000171} + label: sys + value: 0.00184 + - errors: + - {label: stat, symerror: 1.07e-05} + - asymerror: {minus: -2.32e-05, plus: 2.85e-05} + label: sys + value: 0.000249 + - errors: + - {label: stat, symerror: 2.93e-06} + - asymerror: {minus: -2.73e-06, plus: 3.45e-06} + label: sys + value: 2.23e-05 + - errors: + - {label: stat, symerror: 8.24e-07} + - asymerror: {minus: -2.45e-07, plus: 3.23e-07} + label: sys + value: 1.51e-06 +independent_variables: +- header: {name: M(2JET), units: GEV} + values: + - {high: 565.0, low: 419.0} + - {high: 740.0, low: 565.0} + - {high: 944.0, low: 740.0} + - {high: 1181.0, low: 944.0} + - {high: 1455.0, low: 1181.0} + - {high: 1770.0, low: 1455.0} + - {high: 2132.0, low: 1770.0} + - {high: 2546.0, low: 2132.0} + - {high: 3147.0, low: 2546.0} + - {high: 3854.0, low: 3147.0} + - {high: 4509.0, low: 3854.0} diff --git a/buildmaster/CMS_2JET_7TEV/rawdata/HEPData-ins1208923-v1-Table_9.yaml b/buildmaster/CMS_2JET_7TEV/rawdata/HEPData-ins1208923-v1-Table_9.yaml new file mode 100644 index 0000000000..714f5fcd62 --- /dev/null +++ b/buildmaster/CMS_2JET_7TEV/rawdata/HEPData-ins1208923-v1-Table_9.yaml @@ -0,0 +1,70 @@ +dependent_variables: +- header: {name: D2(SIG)/DM/DYRAP, units: PB/GEV} + qualifiers: + - {name: ABS(YRAP), value: 1.5-2.0} + - {name: RE, value: P P --> JET JET X} + - {name: SQRT(S), units: GeV, value: '7000.0'} + values: + - errors: + - {label: stat, symerror: 1.01} + - asymerror: {minus: -3.08, plus: 3.64} + label: sys + value: 42.2 + - errors: + - {label: stat, symerror: 0.412} + - asymerror: {minus: -0.614, plus: 0.725} + label: sys + value: 8.61 + - errors: + - {label: stat, symerror: 0.133} + - asymerror: {minus: -0.142, plus: 0.166} + label: sys + value: 2.03 + - errors: + - {label: stat, symerror: 0.0423} + - asymerror: {minus: -0.0406, plus: 0.0482} + label: sys + value: 0.564 + - errors: + - {label: stat, symerror: 0.0152} + - asymerror: {minus: -0.0077, plus: 0.0091} + label: sys + value: 0.102 + - errors: + - {label: stat, symerror: 0.00125} + - asymerror: {minus: -0.00238, plus: 0.00286} + label: sys + value: 0.0281 + - errors: + - {label: stat, symerror: 0.000261} + - asymerror: {minus: -0.000599, plus: 0.000719} + label: sys + value: 0.0063 + - errors: + - {label: stat, symerror: 0.000111} + - asymerror: {minus: -0.000145, plus: 0.000178} + label: sys + value: 0.0013 + - errors: + - {label: stat, symerror: 2.89e-05} + - asymerror: {minus: -1.89e-05, plus: 2.39e-05} + label: sys + value: 0.000135 + - errors: + - {label: stat, symerror: 1.06e-06} + - asymerror: {minus: -1.03e-06, plus: 1.56e-06} + label: sys + value: 4.48e-06 +independent_variables: +- header: {name: M(2JET), units: GEV} + values: + - {high: 740.0, low: 565.0} + - {high: 944.0, low: 740.0} + - {high: 1181.0, low: 944.0} + - {high: 1455.0, low: 1181.0} + - {high: 1770.0, low: 1455.0} + - {high: 2132.0, low: 1770.0} + - {high: 2546.0, low: 2132.0} + - {high: 3019.0, low: 2546.0} + - {high: 3558.0, low: 3019.0} + - {high: 5058.0, low: 3558.0} diff --git a/buildmaster/CMS_2JET_7TEV/rawdata/dijet_corr.dat b/buildmaster/CMS_2JET_7TEV/rawdata/dijet_corr.dat new file mode 100644 index 0000000000..9a5c62bfee --- /dev/null +++ b/buildmaster/CMS_2JET_7TEV/rawdata/dijet_corr.dat @@ -0,0 +1,76 @@ +============================================================================================== +OBSERVABLE: dijet cross section +COLLISION TYPE: proton-proton +COLLISION ENERGY: 7 TeV +EXPERIMENT: CMS / LHC +RUN: 2011 +LUMINOSITY: 5.0 fb-1 +============================================================================================== +Statistical correlation of the measured cross section between the mass bins in the rapidity range |y|max<0.5 +============================================================================================== + 197 296 1.00 -0.14 0.01 0.02 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 + 296 419 -0.14 1.00 -0.17 0.02 0.03 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 + 419 565 0.01 -0.17 1.00 -0.53 0.01 0.02 0.00 0.00 0.00 0.00 0.00 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+1,101 @@ +========================================================================================================================================================================================================================================================================================== +OBSERVABLE: dijet cross section +COLLISION TYPE: proton-proton +COLLISION ENERGY: 7 TeV +EXPERIMENT: CMS / LHC +RUN: 2011 +LUMINOSITY: 5.0 fb-1 +========================================================================================================================================================================================================================================================================================== +The NP correction as multiplicative factor with its range for the 0.0<$|y_{max}|<0.5$ +plus, Uncorrelated sources of JEC and the luminosity uncertainties (relative values centered around zero) for the $|y_{max}|<0.5$ bin +========================================================================================================================================================================================================================================================================================== + NP correction JEC0[-,+] JEC1[-,+] JEC2[-,+] JEC3[-,+] JEC4[-,+] JEC5[-,+] JEC6[-,+] JEC7[-,+] JEC8[-,+] JEC9[-,+] JEC10[-,+] JEC11[-,+] JEC12[-,+] JEC13[-,+] Lumi[-,+] Unfolding Bin-by-bin + lo hi Unc[-,+] Unc[-,+] + mlo mhi 1 2 3 <----4----> <----5----> <----6----> <----7----> <----8----> <----9----> <---10----> <---11----> <---12----> <---13----> <---14----> <---15----> <---16----> <---17----> <---18----> <---19----> <---20----> 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correction JEC0[-,+] JEC1[-,+] JEC2[-,+] JEC3[-,+] JEC4[-,+] JEC5[-,+] JEC6[-,+] JEC7[-,+] JEC8[-,+] JEC9[-,+] JEC10[-,+] JEC11[-,+] JEC12[-,+] JEC13[-,+] Lumi[-,+] Unfolding Bin-by-bin + lo hi Unc[-,+] Unc[-,+] + mlo mhi 1 2 3 <----4----> <----5----> <----6----> <----7----> <----8----> <----9----> <---10----> <---11----> <---12----> <---13----> <---14----> <---15----> <---16----> <---17----> <---18----> <---19----> <---20----> +========================================================================================================================================================================================================================================================================================== + 419 565 1.140 1.220 1.060 -0.020 0.030 -0.010 0.020 0.000 0.000 -0.020 0.030 -0.010 0.010 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 -0.010 0.010 -0.030 0.030 0.020 -0.010 -0.020 0.020 -0.022 0.022 -0.010 0.010 -0.010 0.010 + 565 740 1.100 1.160 1.040 -0.030 0.030 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0.040 0.000 0.010 0.000 0.000 0.000 0.000 0.000 0.010 0.000 0.000 0.000 0.000 -0.010 0.010 0.010 -0.010 -0.010 0.010 -0.022 0.022 -0.020 0.020 -0.010 0.010 +3854 4509 1.030 1.040 1.010 -0.090 0.110 -0.100 0.130 -0.080 0.110 -0.030 0.040 -0.030 0.040 0.000 0.010 0.000 0.000 0.000 0.000 -0.010 0.010 0.000 0.000 0.000 0.000 -0.010 0.010 0.010 -0.010 -0.010 0.020 -0.022 0.022 -0.030 0.030 -0.010 0.010 +========================================================================================================================================================================================================================================================================================== +The NP correction as multiplicative factor with its range for the 1.5<$|y_{max}|<2.0$ +plus, Uncorrelated sources of JEC and the luminosity uncertainties (relative values centered around zero) for the 1.5<$|y_{max}|$<2.0 bin +========================================================================================================================================================================================================================================================================================== + NP correction JEC0[-,+] JEC1[-,+] JEC2[-,+] JEC3[-,+] JEC4[-,+] JEC5[-,+] JEC6[-,+] JEC7[-,+] JEC8[-,+] JEC9[-,+] JEC10[-,+] JEC11[-,+] JEC12[-,+] JEC13[-,+] Lumi[-,+] Unfolding Bin-by-bin + lo hi Unc[-,+] Unc[-,+] + mlo mhi 1 2 3 <----4----> <----5----> <----6----> <----7----> <----8----> <----9----> <---10----> <---11----> <---12----> <---13----> <---14----> <---15----> <---16----> <---17----> <---18----> <---19----> <---20----> +========================================================================================================================================================================================================================================================================================== + 565 740 1.170 1.260 1.070 -0.030 0.030 -0.010 0.020 0.000 0.000 -0.030 0.030 -0.030 0.040 -0.010 0.010 0.000 0.000 0.000 0.000 0.000 0.000 -0.010 0.010 -0.010 0.010 -0.030 0.040 0.020 -0.020 -0.020 0.030 -0.022 0.022 -0.010 0.010 -0.010 0.010 + 740 944 1.120 1.200 1.050 -0.030 0.030 -0.020 0.020 0.000 0.000 -0.020 0.030 -0.030 0.040 -0.010 0.010 0.000 0.000 0.000 0.000 0.000 0.000 -0.010 0.010 -0.010 0.010 -0.030 0.030 0.020 -0.020 -0.020 0.030 -0.022 0.022 -0.010 0.010 -0.010 0.010 + 944 1181 1.100 1.150 1.040 -0.030 0.040 -0.020 0.020 -0.010 0.010 -0.020 0.030 -0.040 0.040 -0.010 0.010 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 -0.010 0.010 -0.020 0.030 0.020 -0.010 -0.020 0.020 -0.022 0.022 -0.010 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0.010 +2546 3019 1.030 1.050 1.020 -0.050 0.060 -0.040 0.050 -0.030 0.040 -0.020 0.020 -0.070 0.090 -0.020 0.020 0.000 0.000 0.000 0.000 -0.010 0.010 0.000 0.000 0.000 0.010 -0.010 0.020 0.010 -0.010 -0.020 0.020 -0.022 0.022 -0.010 0.010 -0.010 0.010 +3019 3558 1.030 1.040 1.010 -0.060 0.080 -0.050 0.070 -0.050 0.060 -0.020 0.030 -0.090 0.120 -0.020 0.030 0.000 0.000 0.000 0.000 -0.010 0.010 0.000 0.000 -0.010 0.010 -0.020 0.020 0.010 -0.010 -0.020 0.020 -0.022 0.022 -0.010 0.010 -0.010 0.010 +3558 5058 1.020 1.030 1.010 -0.100 0.150 -0.100 0.150 -0.080 0.130 -0.030 0.050 -0.150 0.230 -0.040 0.060 0.000 0.000 0.000 0.000 -0.020 0.020 0.000 0.010 -0.010 0.010 -0.020 0.030 0.020 -0.010 -0.020 0.030 -0.022 0.022 -0.020 0.020 -0.010 0.010 +========================================================================================================================================================================================================================================================================================== +The NP correction as multiplicative factor with its range for the 2.0<$|y_{max}|<2.5$ +plus, Uncorrelated sources of JEC and the luminosity uncertainties (relative values centered around zero) for the 2.0<$|y_{max}|$<2.5$ bin +========================================================================================================================================================================================================================================================================================== + NP correction JEC0[-,+] JEC1[-,+] JEC2[-,+] JEC3[-,+] JEC4[-,+] JEC5[-,+] JEC6[-,+] JEC7[-,+] JEC8[-,+] JEC9[-,+] JEC10[-,+] JEC11[-,+] JEC12[-,+] JEC13[-,+] Lumi[-,+] Unfolding Bin-by-bin + lo hi Unc[-,+] Unc[-,+] + mlo mhi 1 2 3 <----4----> <----5----> <----6----> <----7----> <----8----> <----9----> <---10----> <---11----> <---12----> <---13----> <---14----> <---15----> <---16----> <---17----> <---18----> <---19----> <---20----> +========================================================================================================================================================================================================================================================================================== +1000 1246 1.140 1.230 1.060 -0.030 0.040 -0.020 0.020 0.000 0.000 -0.030 0.040 -0.100 0.120 -0.010 0.020 -0.010 0.010 -0.010 0.010 -0.010 0.010 0.000 0.000 -0.020 0.020 -0.040 0.050 -0.030 0.030 -0.030 0.030 -0.022 0.022 -0.010 0.010 -0.010 0.010 +1246 1530 1.120 1.180 1.050 -0.030 0.040 -0.020 0.020 0.000 0.000 -0.030 0.030 -0.110 0.130 -0.010 0.020 -0.010 0.010 -0.010 0.010 -0.010 0.010 0.000 0.000 -0.020 0.020 -0.030 0.040 -0.030 0.030 -0.020 0.030 -0.022 0.022 -0.010 0.010 -0.010 0.010 +1530 1856 1.100 1.150 1.040 -0.040 0.040 -0.020 0.030 -0.010 0.010 -0.030 0.030 -0.110 0.130 -0.020 0.020 -0.010 0.010 -0.010 0.010 -0.010 0.010 0.000 0.000 -0.010 0.020 -0.030 0.040 -0.020 0.030 -0.020 0.030 -0.022 0.022 -0.010 0.010 -0.010 0.010 +1856 2231 1.080 1.130 1.040 -0.040 0.050 -0.030 0.040 -0.010 0.020 -0.030 0.030 -0.120 0.150 -0.020 0.030 -0.010 0.010 -0.010 0.010 -0.010 0.010 0.000 0.000 -0.010 0.020 -0.030 0.040 -0.020 0.020 -0.020 0.030 -0.022 0.022 -0.010 0.010 -0.010 0.010 +2231 2659 1.070 1.120 1.030 -0.040 0.050 -0.030 0.040 -0.020 0.020 -0.020 0.030 -0.140 0.160 -0.020 0.030 -0.010 0.010 -0.010 0.010 -0.010 0.020 0.000 0.000 -0.010 0.020 -0.030 0.030 -0.020 0.020 -0.020 0.030 -0.022 0.022 -0.010 0.010 -0.010 0.010 +2659 3147 1.070 1.100 1.030 -0.050 0.070 -0.040 0.050 -0.030 0.030 -0.030 0.030 -0.170 0.200 -0.030 0.030 -0.010 0.010 -0.010 0.010 -0.020 0.020 0.000 0.000 -0.010 0.020 -0.030 0.030 -0.020 0.020 -0.020 0.030 -0.022 0.022 -0.010 0.010 -0.010 0.010 +3147 3704 1.060 1.100 1.030 -0.070 0.080 -0.050 0.070 -0.040 0.050 -0.030 0.030 -0.220 0.260 -0.030 0.040 -0.010 0.010 -0.010 0.010 -0.020 0.020 0.000 0.000 -0.010 0.020 -0.030 0.030 -0.020 0.020 -0.020 0.030 -0.022 0.022 -0.010 0.010 -0.010 0.010 +3704 5058 1.060 1.090 1.030 -0.110 0.190 -0.090 0.160 -0.070 0.120 -0.040 0.070 -0.360 0.640 -0.050 0.100 -0.020 0.030 -0.020 0.030 -0.030 0.060 0.000 0.000 -0.020 0.030 -0.040 0.070 -0.030 0.060 -0.030 0.060 -0.022 0.022 -0.020 0.020 -0.010 0.010 \ No newline at end of file From 4621db1f50453f099d8d8e9ba456ac1a03e1abaa Mon Sep 17 00:00:00 2001 From: Mark Nestor Costantini Date: Mon, 27 Mar 2023 19:31:22 +0100 Subject: [PATCH 18/40] read correlation matrix into numpy array --- buildmaster/CMS_2JET_7TEV/filter.py | 83 ++++++++++++++++++++++++++++- 1 file changed, 81 insertions(+), 2 deletions(-) diff --git a/buildmaster/CMS_2JET_7TEV/filter.py b/buildmaster/CMS_2JET_7TEV/filter.py index 6b76003402..467faa2172 100644 --- a/buildmaster/CMS_2JET_7TEV/filter.py +++ b/buildmaster/CMS_2JET_7TEV/filter.py @@ -1,5 +1,5 @@ import yaml - +import numpy as np def filter_CMS_2JET_7TRV_data_kinetic(): """ @@ -63,6 +63,26 @@ def filter_CMS_2JET_7TRV_data_kinetic(): +def filterCMS_2JET_7TEV_uncertainties(): + """ + + """ + + # generate block diagonal statistical covariance matrix + # Statistical uncertainty correlated between the mass bins in + # the same rapidity range + + # read correlation matrix + corr_matrices = read_dat_file('rawdata/dijet_corr.dat') + print(len(corr_matrices)) + + # construct covariance matrix from correlation matrix + # TODOO + + return corr_matrices + + + def range_str_to_floats(str_range): """ converts a string range to a list, @@ -78,9 +98,68 @@ def range_str_to_floats(str_range): # Return a dict return {"min": min, "mid": mid, "max": max} +def read_dat_file(filename): + """ + read out correlation matrices from the + dijet_corr.dat file + + Parameters + ---------- + filename : str + Takes path to dijet_corr.dat + + Returns + ------- + list + list, each element of which is a 2D np array + """ + + with open(filename) as file: + lines = file.readlines() + + begin_rows = [] + end_rows = [] + + for i,line in enumerate(lines): + + if "Statistical correlation" in line and begin_rows == []: + begin_rows.append(i+2) + + elif "Statistical correlation" in line: + begin_rows.append(i+2) + end_rows.append(i-2) + + elif i == len(lines)-1: + end_rows.append(i) + + correlation_matrices = [] + for begin_row, end_row in zip(begin_rows,end_rows): + + size_mat = end_row-begin_row+1 + stat_corr = np.zeros((size_mat,size_mat)) + + i = 0 + for idx in range(begin_row,end_row+1): + stat_corr[i] = np.fromstring(lines[idx], sep=' ')[2:] + i+=1 + + correlation_matrices.append(stat_corr) + + return correlation_matrices + if __name__ == "__main__": # save kinematics and central values - filter_CMS_2JET_7TRV_data_kinetic() \ No newline at end of file + # filter_CMS_2JET_7TRV_data_kinetic() + + filterCMS_2JET_7TEV_uncertainties() + # C = filterCMS_2JET_7TEV_uncertainties() + + # for c in C: + # print() + # print(f"shape = {c.shape}") + # print() + # print(c) + \ No newline at end of file From 2a2a90fdbb03228678d23ee3a3c33dda6757ad18 Mon Sep 17 00:00:00 2001 From: Mark Nestor Costantini Date: Tue, 28 Mar 2023 18:05:00 +0100 Subject: [PATCH 19/40] added corr to cov function + computed the Block diagonal stat cov mat --- buildmaster/CMS_2JET_7TEV/filter.py | 96 ++++++++++++++++++++++++++--- 1 file changed, 88 insertions(+), 8 deletions(-) diff --git a/buildmaster/CMS_2JET_7TEV/filter.py b/buildmaster/CMS_2JET_7TEV/filter.py index 467faa2172..766e2600cb 100644 --- a/buildmaster/CMS_2JET_7TEV/filter.py +++ b/buildmaster/CMS_2JET_7TEV/filter.py @@ -1,5 +1,6 @@ import yaml import numpy as np +from scipy.linalg import block_diag def filter_CMS_2JET_7TRV_data_kinetic(): """ @@ -63,6 +64,7 @@ def filter_CMS_2JET_7TRV_data_kinetic(): + def filterCMS_2JET_7TEV_uncertainties(): """ @@ -72,16 +74,87 @@ def filterCMS_2JET_7TEV_uncertainties(): # Statistical uncertainty correlated between the mass bins in # the same rapidity range - # read correlation matrix - corr_matrices = read_dat_file('rawdata/dijet_corr.dat') - print(len(corr_matrices)) + # get correlation matrix for statistical uncertainties + corr_matrices = get_corr_dat_file('rawdata/dijet_corr.dat') + # get statistical uncertainties from each HEPData table + stat_uncertainties = get_stat_uncertainties() + + + with open('metadata.yaml', 'r') as file: + metadata = yaml.safe_load(file) + + version = metadata['hepdata']['version'] + tables = metadata['hepdata']['tables'] + + stat_cov_mats = [] + + for i,table in enumerate(tables): + if corr_matrices[i].shape[0] != np.array(stat_uncertainties[table]).shape[0]: + raise("Shapes of correlation matrix and uncertainties array are not compatible") + # convert correlation matrices to covariance matrices + stat_cov_mats.append(correlation_to_covariance(corr_matrices[i],stat_uncertainties[table])) + + BD_stat = stat_cov_mats[0] + + for i in range(1,len(stat_cov_mats)): + stat = stat_cov_mats[i] + BD_stat = block_diag(BD_stat,stat) + + + +def correlation_to_covariance(correlation, uncertainties): + """ + Converts a correlation matrix into a covariance matrix + using a list of uncertainties. + + Parameters: + ----------- + correlation : np.ndarray + A square matrix of correlations. + uncertainties : np.ndarray + A 1D array of uncertainties. + + Returns: + -------- + np.ndarray + The corresponding covariance matrix. + """ + covariance = np.outer(uncertainties, uncertainties) * correlation + return covariance - # construct covariance matrix from correlation matrix - # TODOO +def get_stat_uncertainties(): + """ + function used to get the statistical + uncertainty from the HEPdata tables. - return corr_matrices + Returns + ------- + dict + dictionary with keys = number of table + value = list of statistical uncertainties + + """ + + with open('metadata.yaml', 'r') as file: + metadata = yaml.safe_load(file) + version = metadata['hepdata']['version'] + tables = metadata['hepdata']['tables'] + stat_err = {} + + for table in tables: + stat = [] + hepdata_tables = f"rawdata/HEPData-ins1208923-v{version}-Table_{table}.yaml" + with open(hepdata_tables, 'r') as file: + input = yaml.safe_load(file) + + for err in input['dependent_variables'][0]['values']: + stat.append(err['errors'][0]['symerror']) + stat_err[table] = stat + + return stat_err + def range_str_to_floats(str_range): """ @@ -98,7 +171,7 @@ def range_str_to_floats(str_range): # Return a dict return {"min": min, "mid": mid, "max": max} -def read_dat_file(filename): +def get_corr_dat_file(filename): """ read out correlation matrices from the dijet_corr.dat file @@ -117,6 +190,8 @@ def read_dat_file(filename): with open(filename) as file: lines = file.readlines() + # store the number of the rows where the correlation matrix + # is printed begin_rows = [] end_rows = [] @@ -140,7 +215,8 @@ def read_dat_file(filename): i = 0 for idx in range(begin_row,end_row+1): - stat_corr[i] = np.fromstring(lines[idx], sep=' ')[2:] + # ignore first two columns as these give the bin kin + stat_corr[i] = np.fromstring(lines[idx], sep=' ')[2:] i+=1 correlation_matrices.append(stat_corr) @@ -155,6 +231,10 @@ def read_dat_file(filename): # filter_CMS_2JET_7TRV_data_kinetic() filterCMS_2JET_7TEV_uncertainties() + + # print(get_stat_uncertainties()) + + # C = filterCMS_2JET_7TEV_uncertainties() # for c in C: From 5c19dddf77bbebdf98490cd440037b4b1c40ea5e Mon Sep 17 00:00:00 2001 From: Mark Nestor Costantini Date: Tue, 11 Apr 2023 14:23:14 +0100 Subject: [PATCH 20/40] added module with utils for CMS_2JET_7TEV filter --- buildmaster/CMS_2JET_7TEV/filter_utils.py | 440 ++++++++++++++++++++++ 1 file changed, 440 insertions(+) create mode 100644 buildmaster/CMS_2JET_7TEV/filter_utils.py diff --git a/buildmaster/CMS_2JET_7TEV/filter_utils.py b/buildmaster/CMS_2JET_7TEV/filter_utils.py new file mode 100644 index 0000000000..b3f5530a5a --- /dev/null +++ b/buildmaster/CMS_2JET_7TEV/filter_utils.py @@ -0,0 +1,440 @@ +""" +Utils to be used in CMS_2JET_7TEV.filter.py +""" +import numpy as np +import yaml +import pandas as pd +import logging + +log = logging.getLogger(__name__) + +def get_data_values(tables,version): + """ + returns the central data + + Parameters + ---------- + tables : list + list that enumerates the table number + + version : int + integer read from metadata.yaml that + indicated the version of the hepdata + tables + + Returns + ------- + list + list containing the central values for all + hepdata tables + + """ + + data_central = [] + for table in tables: + + hepdata_table = f"rawdata/HEPData-ins1208923-v{version}-Table_{table}.yaml" + + with open(hepdata_table, 'r') as file: + input = yaml.safe_load(file) + + values = input['dependent_variables'][0]['values'] + + for value in values: + data_central.append(value['value']) + + return data_central + +def get_kinematics(tables,version): + """ + returns the relevant kinematics values + + Parameters + ---------- + tables : list + list that enumerates the table number + + version : int + integer read from metadata.yaml that + indicated the version of the hepdata + tables + + Returns + ------- + list + list containing the kinematic values for all + hepdata tables + """ + kin = [] + + for table in tables: + + hepdata_table = f"rawdata/HEPData-ins1208923-v{version}-Table_{table}.yaml" + + with open(hepdata_table, 'r') as file: + input = yaml.safe_load(file) + + rapidity_interval = input['dependent_variables'][0]['qualifiers'][0]['value'] + ydiff = {} + if rapidity_interval == '< 0.5': + ydiff['min'], ydiff['max'], ydiff['mid'] = 0.0, 0.5, 0.25 + else: + ydiff = range_str_to_floats(rapidity_interval) + + sqrts = float(input['dependent_variables'][0]['qualifiers'][2]['value']) + + dijet_mass_bins = input['independent_variables'][0]['values'] + + for m12 in dijet_mass_bins: + + # kinematics + m12['low'], m12['high'] = m12['low'], m12['high'] + m12['mid'] = float(f"{0.5 * (m12['low']+m12['high']):.3f}") + + kin_value = {'ydiff' : {'min': ydiff['min'], 'mid': ydiff['mid'] , 'max': ydiff['max']}, + 'm12' : {'min': m12['low'], 'mid': m12['mid'] , 'max': m12['high']} , + 'sqrt_s' : {'min': None, 'mid': sqrts , 'max': None}} + + kin.append(kin_value) + + return kin + + +def correlation_to_covariance(correlation, uncertainties): + """ + Converts a correlation matrix into a covariance matrix + using a list of uncertainties. + + Parameters: + ----------- + correlation : np.ndarray + A square matrix of correlations. + uncertainties : np.ndarray + A 1D array of uncertainties. + + Returns: + -------- + np.ndarray + The corresponding covariance matrix. + """ + covariance = np.outer(uncertainties, uncertainties) * correlation + return covariance + +def decompose_covmat(covmat): + """Given a covmat it return an array sys with shape (ndat,ndat) + giving ndat correlated systematics for each of the ndat point. + The original covmat is obtained by doing sys@sys.T""" + + lamb, mat = np.linalg.eig(covmat) + sys = np.multiply(np.sqrt(lamb), mat) + return sys + +def range_str_to_floats(str_range): + """ + converts a string range to a list, + e.g. "0.5 - 1.0" --> [0.5,1.0] + and returns a dictionary + """ + # Split the range string into two parts + str_nums = str_range.split('-') + # Convert the parts to floats + min = float(str_nums[0]) + max = float(str_nums[1]) + mid = float(f"{0.5 * (min + max):.3f}") + # Return a dict + return {"min": min, "mid": mid, "max": max} + + +def get_corr_dat_file(filename): + """ + read out correlation matrices from the + dijet_corr.dat file + + Parameters + ---------- + filename : str + Takes path to dijet_corr.dat + + Returns + ------- + list + list, each element of which is a 2D np array + """ + + with open(filename) as file: + lines = file.readlines() + + # store the number of the rows where the correlation matrix + # is printed + begin_rows = [] + end_rows = [] + + for i,line in enumerate(lines): + + if "Statistical correlation" in line and begin_rows == []: + begin_rows.append(i+2) + + elif "Statistical correlation" in line: + begin_rows.append(i+2) + end_rows.append(i-2) + + elif i == len(lines)-1: + end_rows.append(i) + + correlation_matrices = [] + for begin_row, end_row in zip(begin_rows,end_rows): + + size_mat = end_row-begin_row+1 + stat_corr = np.zeros((size_mat,size_mat)) + + i = 0 + for idx in range(begin_row,end_row+1): + # ignore first two columns as these give the bin kin + stat_corr[i] = np.fromstring(lines[idx], sep=' ')[2:] + i+=1 + + correlation_matrices.append(stat_corr) + + return correlation_matrices + + + +def get_stat_uncertainties(): + """ + function used to get the statistical + uncertainty from the HEPdata tables. + + Returns + ------- + dict + dictionary with keys = number of table + value = list of statistical uncertainties + + """ + + with open('metadata.yaml', 'r') as file: + metadata = yaml.safe_load(file) + + version = metadata['hepdata']['version'] + tables = metadata['hepdata']['tables'] + + stat_err = {} + + for table in tables: + stat = [] + hepdata_tables = f"rawdata/HEPData-ins1208923-v{version}-Table_{table}.yaml" + with open(hepdata_tables, 'r') as file: + input = yaml.safe_load(file) + + for err in input['dependent_variables'][0]['values']: + stat.append(err['errors'][0]['symerror']) + stat_err[table] = stat + + return stat_err + + +def dat_file_to_df(): + """ + from dijet_sys.dat table return a pandas + DataFrame with index given by Ndata, + columns by the uncertainties and + np.nan entries + + Returns + ------- + list + list of dataframes + + """ + + with open("rawdata/dijet_sys.dat", 'r') as file: + lines = file.readlines() + + # get rows of numeric tables in dat file + begin_lines = [] + end_lines = [] + + for i,line in enumerate(lines): + + if "mlo" in line: + begin_lines.append(i+2) + + if "The NP correction" in line and len(begin_lines)>=1: + end_lines.append(i-1) + + end_lines.append(len(lines)) + + # define dataframe + columns = ["JEC0-","JEC0+","JEC1-","JEC1+","JEC2-","JEC2+","JEC3-","JEC3+","JEC4-","JEC4+", + "JEC5-","JEC5+","JEC6-","JEC6+","JEC7-","JEC7+","JEC8-","JEC8+", + "JEC9-","JEC9+","JEC10-","JEC10+","JEC11-","JEC11+","JEC12-","JEC12+", + "JEC13-","JEC13+","Lumi-","Lumi+", "Unfolding+","Unfolding-","Bin-by-bin+","Bin-by-bin-"] + + dfs = [] + for beg, end in zip(begin_lines,end_lines): + + df = pd.DataFrame(columns=columns,index=range(beg,end)) + j=0 + for i in range(beg,end): + # do not consider NP uncertainty + col_vals = np.fromstring(lines[i], sep=' ')[5:] + + df.iloc[j] = col_vals + j+=1 + + dfs.append(df) + + return dfs + + +def JEC_covmat(): + """ + Jet Energy Scale (JET): 14 Asymmetric uncertainties correlated across all + rapidity and mass bins (CORR). This uncertainty is not always presented as + (left<0 and right>0), e.g. [-delta_left,+delta_right] + Hence the D'Agostini prescription for symmetrising errors + is not valid here because it works with the only case displayed above. + Instead, we use here the experimentalists prescription, where we take every + subpart of the uncertainty left and right as independent source of + uncertainty. This is motivated by taking the average + of the left and right uncertainty, hence the origin of the sqrt(2) + that we divide by. + + + Returns + ------- + np.array + covariance matrix for JET energy scale uncertainty + + """ + dfs = dat_file_to_df() + JEC_err = [] + for df in dfs: + JEC_err.append(df.filter(like = "JEC")) + + # divide by sqrt(2) since treating each unc of asymm as independent + jec = pd.concat(JEC_err,axis=0) / np.sqrt(2) + + # get central value to convert mult error + with open('metadata.yaml', 'r') as file: + metadata = yaml.safe_load(file) + + version = metadata['hepdata']['version'] + tables = metadata['hepdata']['tables'] + cv = get_data_values(tables,version) + cv = np.array(cv) + + # convert mult error to absolute + jec = jec.multiply(cv,axis = 0) + jec = jec.to_numpy().astype(float) + + return np.einsum('ij,kj->ik',jec,jec) + + +def lumi_covmat(): + """ + Luminosity uncertainty: this is a symmetric uncertainty of 2.2% correlated + accross all mass and rapidity bins and all CMS datasets at 7 TeV, hence the + keyword (CMSLUMI11). + + NOTE: this function is needed to test only whether the full covmat coincides + with the old implementation and can be removed at some point + + Returns + ------- + np.array + covariance matrix for luminosity uncertainty + + """ + dfs = dat_file_to_df() + lumi_err = [] + for df in dfs: + lumi_err.append(df.filter(like = "Lumi+")) + + lumi = pd.concat(lumi_err,axis=0) + + # get central value to convert mult error + with open('metadata.yaml', 'r') as file: + metadata = yaml.safe_load(file) + + version = metadata['hepdata']['version'] + tables = metadata['hepdata']['tables'] + cv = get_data_values(tables,version) + cv = np.array(cv) + + # convert mult to abs + lumi = lumi.multiply(cv, axis = 0) + lumi = lumi.to_numpy().astype(float) + + return np.einsum('ij,kj->ik',lumi,lumi) + +def unfolding_covmat(): + """ + Unfolding uncertainty: this asymmetric is correlated across all rapidity + and mass bins (CORR). + + + Returns + ------- + np.array + covariance matrix for unfolding uncertainty + """ + dfs = dat_file_to_df() + unfold_err = [] + for df in dfs: + unfold_err.append(df.filter(like = "Unfolding")) + + unfold = pd.concat(unfold_err,axis=0) / np.sqrt(2) + + # get central value to convert mult error + with open('metadata.yaml', 'r') as file: + metadata = yaml.safe_load(file) + + version = metadata['hepdata']['version'] + tables = metadata['hepdata']['tables'] + cv = get_data_values(tables,version) + cv = np.array(cv) + + # convert mult to abs + unfold = unfold.multiply(cv, axis = 0) + unfold = unfold.to_numpy().astype(float) + + return np.einsum('ij,kj->ik',unfold,unfold) + +def bin_by_bin_covmat(): + """ + Bin-by-Bin uncertainty: this is a symmetric uncertainty fully uncorrelated + accross bins of mass and rapidity (UNCORR) + + NOTE: this function is needed to test only whether the full covmat coincides + with the old implementation and can be removed at some point + + Returns + ------- + np.array + covariance matrix for bin by bin uncertainty + """ + dfs = dat_file_to_df() + bin_err = [] + for df in dfs: + bin_err.append(df.filter(like = "Bin-by-bin-")) # symm so choose only one + + bin = pd.concat(bin_err,axis=0) + + # get central value to convert mult error + with open('metadata.yaml', 'r') as file: + metadata = yaml.safe_load(file) + + version = metadata['hepdata']['version'] + tables = metadata['hepdata']['tables'] + cv = get_data_values(tables,version) + cv = np.array(cv) + + # convert mult to abs + bin = bin.multiply(cv, axis = 0) + + bin = bin.to_numpy().astype(float) + + # fully uncorrelated + bin_cov = np.diag(bin.reshape(bin.shape[0])**2) + return bin_cov From f64ace3c72fd8377f402bea702d5a2e97c5f1ae6 Mon Sep 17 00:00:00 2001 From: Mark Nestor Costantini Date: Tue, 11 Apr 2023 14:23:44 +0100 Subject: [PATCH 21/40] import utils from filter_utils --- buildmaster/CMS_2JET_7TEV/filter.py | 282 +++++++++++----------------- 1 file changed, 114 insertions(+), 168 deletions(-) diff --git a/buildmaster/CMS_2JET_7TEV/filter.py b/buildmaster/CMS_2JET_7TEV/filter.py index 766e2600cb..e0059d1ddb 100644 --- a/buildmaster/CMS_2JET_7TEV/filter.py +++ b/buildmaster/CMS_2JET_7TEV/filter.py @@ -1,11 +1,31 @@ +""" +Filter for CMS_2JET_7TEV + +Created on Mar 2023 + +@author: Mark N. Costantini +""" + import yaml import numpy as np from scipy.linalg import block_diag +import pandas as pd + +from filter_utils import (correlation_to_covariance, + range_str_to_floats, + get_corr_dat_file, + get_stat_uncertainties, + dat_file_to_df, + get_data_values, get_kinematics, + lumi_covmat, JEC_covmat, unfolding_covmat, + bin_by_bin_covmat, decompose_covmat) + def filter_CMS_2JET_7TRV_data_kinetic(): """ writes kinetic and data central values - to yaml file + to kinematics.yaml and data.yaml files + respectively """ with open('metadata.yaml', 'r') as file: @@ -14,48 +34,16 @@ def filter_CMS_2JET_7TRV_data_kinetic(): version = metadata['hepdata']['version'] tables = metadata['hepdata']['tables'] - data_central = [] - kin = [] - - for table in tables: - - hepdata_tables = f"rawdata/HEPData-ins1208923-v{version}-Table_{table}.yaml" - - with open(hepdata_tables, 'r') as file: - input = yaml.safe_load(file) - - rapidity_interval = input['dependent_variables'][0]['qualifiers'][0]['value'] - ydiff = {} - if rapidity_interval == '< 0.5': - ydiff['min'], ydiff['max'], ydiff['mid'] = 0.0, 0.5, 0.25 - else: - ydiff = range_str_to_floats(rapidity_interval) - - sqrts = float(input['dependent_variables'][0]['qualifiers'][2]['value']) - - dijet_mass_bins = input['independent_variables'][0]['values'] - - values = input['dependent_variables'][0]['values'] - - for value, m12 in zip(values, dijet_mass_bins): - - # central values - data_central_value = value['value'] - data_central.append(data_central_value) - - # kinematics - m12['low'], m12['high'] = m12['low'], m12['high'] - m12['mid'] = float(f"{0.5 * (m12['low']+m12['high']):.3f}") - - kin_value = {'ydiff' : {'min': ydiff['min'], 'mid': ydiff['mid'] , 'max': ydiff['max']}, - 'm12' : {'min': m12['low'], 'mid': m12['mid'] , 'max': m12['high']} , - 'sqrt_s' : {'min': None, 'mid': sqrts , 'max': None}} + # get kinematics from hepdata tables + kin = get_kinematics(tables,version) - kin.append(kin_value) + # get central values from hepdata tables + data_central = get_data_values(tables,version) data_central_yaml = { 'data_central' : data_central } kinematics_yaml = { 'bins' : kin } + # write central values and kinematics to yaml file with open('data.yaml', 'w') as file: yaml.dump(data_central_yaml, file, sort_keys=False) @@ -63,12 +51,16 @@ def filter_CMS_2JET_7TRV_data_kinetic(): yaml.dump(kinematics_yaml, file, sort_keys=False) - - def filterCMS_2JET_7TEV_uncertainties(): """ - + writes uncertainties to uncertainties.yaml file """ + # read metadata file + with open('metadata.yaml', 'r') as file: + metadata = yaml.safe_load(file) + + tables = metadata['hepdata']['tables'] + version = metadata['hepdata']['version'] # generate block diagonal statistical covariance matrix # Statistical uncertainty correlated between the mass bins in @@ -79,13 +71,6 @@ def filterCMS_2JET_7TEV_uncertainties(): # get statistical uncertainties from each HEPData table stat_uncertainties = get_stat_uncertainties() - - with open('metadata.yaml', 'r') as file: - metadata = yaml.safe_load(file) - - version = metadata['hepdata']['version'] - tables = metadata['hepdata']['tables'] - stat_cov_mats = [] for i,table in enumerate(tables): @@ -94,152 +79,113 @@ def filterCMS_2JET_7TEV_uncertainties(): # convert correlation matrices to covariance matrices stat_cov_mats.append(correlation_to_covariance(corr_matrices[i],stat_uncertainties[table])) + # build block diagonal stat covmat BD_stat = stat_cov_mats[0] - for i in range(1,len(stat_cov_mats)): stat = stat_cov_mats[i] BD_stat = block_diag(BD_stat,stat) - - - -def correlation_to_covariance(correlation, uncertainties): - """ - Converts a correlation matrix into a covariance matrix - using a list of uncertainties. - Parameters: - ----------- - correlation : np.ndarray - A square matrix of correlations. - uncertainties : np.ndarray - A 1D array of uncertainties. + # dataframe of uncertainties + dfs = dat_file_to_df() + df_uncertainties = pd.concat(dfs, axis = 0) + cv = get_data_values(tables,version) + cv = np.array(cv) + + # get Luminosity Covmat CMSLUMI11 + lumi_cov = lumi_covmat() + A_lum = df_uncertainties["Lumi+"].multiply(cv, axis = 0).to_numpy() - Returns: - -------- - np.ndarray - The corresponding covariance matrix. - """ - covariance = np.outer(uncertainties, uncertainties) * correlation - return covariance + # Get JEC covmat, CORR + jec_cov = JEC_covmat() -def get_stat_uncertainties(): - """ - function used to get the statistical - uncertainty from the HEPdata tables. - - Returns - ------- - dict - dictionary with keys = number of table - value = list of statistical uncertainties - - """ - - with open('metadata.yaml', 'r') as file: - metadata = yaml.safe_load(file) + # get unfolding covmat, CORR + unfold_cov = unfolding_covmat() - version = metadata['hepdata']['version'] - tables = metadata['hepdata']['tables'] + # get bin-by-bin covmat, UNCORR + bin_cov = bin_by_bin_covmat() + A_bin = df_uncertainties["Bin-by-bin-"].multiply(cv, axis = 0).to_numpy() - stat_err = {} + covmat_corr = BD_stat + jec_cov + unfold_cov - for table in tables: - stat = [] - hepdata_tables = f"rawdata/HEPData-ins1208923-v{version}-Table_{table}.yaml" - with open(hepdata_tables, 'r') as file: - input = yaml.safe_load(file) + # generate artificial systematics + A_art_sys_corr = decompose_covmat(covmat=covmat_corr) - for err in input['dependent_variables'][0]['values']: - stat.append(err['errors'][0]['symerror']) - stat_err[table] = stat + # error definition + error_definition = {f"art_sys_corr_{i}" : {"description": f"artificial systematic {i}", + "treatment": "ADD", "type": "CORR"} + for i in range(1,A_art_sys_corr.shape[0]+1)} - return stat_err + error_definition["luminosity_uncertainty"] = {"description": "luminosity uncertainty", + "treatment": "ADD", "type": "CMSLUMI11"} + error_definition["bin_by_bin_uncertainty"] = {"description": "bin_by_bin_uncertainty", + "treatment": "ADD", "type": "UNCORR"} -def range_str_to_floats(str_range): - """ - converts a string range to a list, - e.g. "0.5 - 1.0" --> [0.5,1.0] - and returns a dictionary - """ - # Split the range string into two parts - str_nums = str_range.split('-') - # Convert the parts to floats - min = float(str_nums[0]) - max = float(str_nums[1]) - mid = float(f"{0.5 * (min + max):.3f}") - # Return a dict - return {"min": min, "mid": mid, "max": max} - -def get_corr_dat_file(filename): - """ - read out correlation matrices from the - dijet_corr.dat file - - Parameters - ---------- - filename : str - Takes path to dijet_corr.dat - - Returns - ------- - list - list, each element of which is a 2D np array - """ + # store error in dict + error = [] + for n in range(A_art_sys_corr.shape[0]): + error_value={} + for m in range(A_art_sys_corr.shape[1]): + error_value[f"art_sys_corr_{m+1}"] = float(A_art_sys_corr[n,m]) + + error_value["luminosity_uncertainty"] = float(A_lum[n]) + error_value["bin_by_bin_uncertainty"] = float(A_bin[n]) - with open(filename) as file: - lines = file.readlines() - - # store the number of the rows where the correlation matrix - # is printed - begin_rows = [] - end_rows = [] + error.append(error_value) - for i,line in enumerate(lines): + uncertainties_yaml = {"definition": error_definition, "bins": error} + + with open(f"uncertainties.yaml",'w') as file: + yaml.dump(uncertainties_yaml,file, sort_keys=False) - if "Statistical correlation" in line and begin_rows == []: - begin_rows.append(i+2) + # this part here is only needed to test and can be removed + # function does not need to return anything + covmat = BD_stat + lumi_cov + jec_cov + unfold_cov + bin_cov - elif "Statistical correlation" in line: - begin_rows.append(i+2) - end_rows.append(i-2) - elif i == len(lines)-1: - end_rows.append(i) + return covmat - correlation_matrices = [] - for begin_row, end_row in zip(begin_rows,end_rows): - - size_mat = end_row-begin_row+1 - stat_corr = np.zeros((size_mat,size_mat)) - - i = 0 - for idx in range(begin_row,end_row+1): - # ignore first two columns as these give the bin kin - stat_corr[i] = np.fromstring(lines[idx], sep=' ')[2:] - i+=1 - - correlation_matrices.append(stat_corr) - - return correlation_matrices + if __name__ == "__main__": - # save kinematics and central values - # filter_CMS_2JET_7TRV_data_kinetic() - + # save data central values and kinematics + filter_CMS_2JET_7TRV_data_kinetic() + + # save uncertainties filterCMS_2JET_7TEV_uncertainties() - # print(get_stat_uncertainties()) - - # C = filterCMS_2JET_7TEV_uncertainties() - - # for c in C: - # print() - # print(f"shape = {c.shape}") - # print() - # print(c) + # only to test + covmat = filterCMS_2JET_7TEV_uncertainties() + + from validphys.loader import Loader + from validphys.covmats import dataset_inputs_covmat_from_systematics + setname = "CMS_2JET_7TEV" + l = Loader() + cd = l.check_commondata(setname = setname).load_commondata_instance() + dataset_input = l.check_dataset(setname,theoryid=200) + from validphys.commondataparser import parse_commondata + dat_file = '/Users/markcostantini/codes/nnpdfgit/nnpdf/buildmaster/results/DATA_CMS_2JET_7TEV.dat' + sys_file = '/Users/markcostantini/codes/nnpdfgit/nnpdf/buildmaster/results/systypes/SYSTYPE_CMS_2JET_7TEV_DEFAULT.dat' + + cd = parse_commondata(dat_file,sys_file,setname) + + cmat = dataset_inputs_covmat_from_systematics( + dataset_inputs_loaded_cd_with_cuts=[cd], + data_input = [dataset_input], + use_weights_in_covmat=False, + norm_threshold=None, + _list_of_central_values=None, + _only_additive=False, + ) + + print(covmat / cmat) + print(np.allclose(covmat / cmat, np.ones(cmat.shape))) + # dfs = dat_file_to_df() + # print(dfs) + # lumi_covmat(dfs) + \ No newline at end of file From 3dc9f7480f099b652c0238f9841e21bd111b3e40 Mon Sep 17 00:00:00 2001 From: Mark Nestor Costantini Date: Tue, 11 Apr 2023 14:40:09 +0100 Subject: [PATCH 22/40] modify metadata --- buildmaster/CMS_2JET_7TEV/metadata.yaml | 27 +++++++------------------ 1 file changed, 7 insertions(+), 20 deletions(-) diff --git a/buildmaster/CMS_2JET_7TEV/metadata.yaml b/buildmaster/CMS_2JET_7TEV/metadata.yaml index 33e159e98f..20d3f352f1 100644 --- a/buildmaster/CMS_2JET_7TEV/metadata.yaml +++ b/buildmaster/CMS_2JET_7TEV/metadata.yaml @@ -32,33 +32,20 @@ data_uncertainties: - uncertainties.yaml - # Data (variants) - variants: - deweighted: - data_uncertainties: - - uncertainties.yaml - - uncertainties_dw.yaml - shifted: - data_uncertainties: - - uncertainties.yaml - - uncertainties_sh.yaml - # Plotting kinematic_coverage: - x: x - q2: q2 - dataset_label: "NMC $d/p$" - plot_x: x + ydiff: ydiff + m12: m12 + dataset_label: "CMS dijets 7 TeV" + plot_x: m12 figure_by: - - q2 + - ydiff # Theory theory: FK_tables: - - - NMCPD_D1 - - NMCPD_D2 - - - NMCPD_P - compound: "RATIO" + - CMS_2JET_7TEV + nnpdf_metadata: nnpdf31_process: "DIJET" From 31af403257f6f831a13a152362f68e6408b6a9f9 Mon Sep 17 00:00:00 2001 From: Mark Nestor Costantini Date: Tue, 11 Apr 2023 15:24:51 +0100 Subject: [PATCH 23/40] fixed typo --- buildmaster/CMS_2JET_7TEV/filter.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/buildmaster/CMS_2JET_7TEV/filter.py b/buildmaster/CMS_2JET_7TEV/filter.py index e0059d1ddb..eabb86879b 100644 --- a/buildmaster/CMS_2JET_7TEV/filter.py +++ b/buildmaster/CMS_2JET_7TEV/filter.py @@ -21,7 +21,7 @@ bin_by_bin_covmat, decompose_covmat) -def filter_CMS_2JET_7TRV_data_kinetic(): +def filter_CMS_2JET_7TEV_data_kinetic(): """ writes kinetic and data central values to kinematics.yaml and data.yaml files @@ -152,7 +152,7 @@ def filterCMS_2JET_7TEV_uncertainties(): if __name__ == "__main__": # save data central values and kinematics - filter_CMS_2JET_7TRV_data_kinetic() + filter_CMS_2JET_7TEV_data_kinetic() # save uncertainties filterCMS_2JET_7TEV_uncertainties() From 82433072053c000e3f63ffd51e1476b35bdf6902 Mon Sep 17 00:00:00 2001 From: Mark Nestor Costantini Date: Tue, 11 Apr 2023 15:51:54 +0100 Subject: [PATCH 24/40] added ATLAS_1JET_8TEV_R06 folder --- buildmaster/ATLAS_1JET_8TEV_R06/data.yaml | 172 + buildmaster/ATLAS_1JET_8TEV_R06/filter.py | 39 + .../ATLAS_1JET_8TEV_R06/filter_utils.py | 107 + .../ATLAS_1JET_8TEV_R06/kinematics.yaml | 2053 +++ buildmaster/ATLAS_1JET_8TEV_R06/metadata.yaml | 66 + .../HEPData-ins1604271-v1-Table_1.yaml | 11365 ++++++++++++++++ .../HEPData-ins1604271-v1-Table_2.yaml | 11031 +++++++++++++++ .../HEPData-ins1604271-v1-Table_3.yaml | 10697 +++++++++++++++ .../HEPData-ins1604271-v1-Table_4.yaml | 10029 ++++++++++++++ .../HEPData-ins1604271-v1-Table_5.yaml | 8025 +++++++++++ .../HEPData-ins1604271-v1-Table_6.yaml | 6021 ++++++++ 11 files changed, 59605 insertions(+) create mode 100644 buildmaster/ATLAS_1JET_8TEV_R06/data.yaml create mode 100644 buildmaster/ATLAS_1JET_8TEV_R06/filter.py create mode 100644 buildmaster/ATLAS_1JET_8TEV_R06/filter_utils.py create mode 100644 buildmaster/ATLAS_1JET_8TEV_R06/kinematics.yaml create mode 100644 buildmaster/ATLAS_1JET_8TEV_R06/metadata.yaml create mode 100644 buildmaster/ATLAS_1JET_8TEV_R06/rawdata/HEPData-ins1604271-v1-Table_1.yaml create mode 100644 buildmaster/ATLAS_1JET_8TEV_R06/rawdata/HEPData-ins1604271-v1-Table_2.yaml create mode 100644 buildmaster/ATLAS_1JET_8TEV_R06/rawdata/HEPData-ins1604271-v1-Table_3.yaml create mode 100644 buildmaster/ATLAS_1JET_8TEV_R06/rawdata/HEPData-ins1604271-v1-Table_4.yaml create mode 100644 buildmaster/ATLAS_1JET_8TEV_R06/rawdata/HEPData-ins1604271-v1-Table_5.yaml create mode 100644 buildmaster/ATLAS_1JET_8TEV_R06/rawdata/HEPData-ins1604271-v1-Table_6.yaml diff --git a/buildmaster/ATLAS_1JET_8TEV_R06/data.yaml b/buildmaster/ATLAS_1JET_8TEV_R06/data.yaml new file mode 100644 index 0000000000..13a621e555 --- /dev/null +++ b/buildmaster/ATLAS_1JET_8TEV_R06/data.yaml @@ -0,0 +1,172 @@ +data_central: +- 36994.0 +- 15405.6 +- 7009.4 +- 3319.54 +- 1627.69 +- 822.52 +- 421.667 +- 223.264 +- 123.88 +- 69.53 +- 40.254 +- 23.062 +- 13.626 +- 8.337 +- 5.1569 +- 3.1134 +- 1.8922 +- 1.1635 +- 0.7111 +- 0.44279 +- 0.27428 +- 0.17043 +- 0.10614 +- 0.06661 +- 0.041322 +- 0.025443 +- 0.015691 +- 0.009639 +- 0.005995 +- 0.003448 +- 0.0014775 +- 0.0003872 +- 5.009e-05 +- 1.42e-06 +- 35232.5 +- 14221.5 +- 6519.5 +- 3066.07 +- 1499.1 +- 757.76 +- 392.639 +- 206.944 +- 114.55 +- 63.287 +- 36.287 +- 20.861 +- 12.404 +- 7.5669 +- 4.5112 +- 2.7158 +- 1.6382 +- 0.9953 +- 0.6045 +- 0.37186 +- 0.22762 +- 0.13906 +- 0.085314 +- 0.051916 +- 0.031895 +- 0.018985 +- 0.011346 +- 0.006725 +- 0.003879 +- 0.0020569 +- 0.0008497 +- 0.0001838 +- 6.58e-06 +- 30557.3 +- 12452.7 +- 5745.3 +- 2630.59 +- 1263.8 +- 638.88 +- 319.543 +- 165.698 +- 90.26 +- 49.844 +- 28.205 +- 15.919 +- 9.281 +- 5.5009 +- 3.2102 +- 1.8731 +- 1.1101 +- 0.6558 +- 0.38074 +- 0.22072 +- 0.12796 +- 0.07427 +- 0.042121 +- 0.023943 +- 0.013329 +- 0.007287 +- 0.003872 +- 0.0019997 +- 0.0010205 +- 0.0004429 +- 0.0001189 +- 5.37e-06 +- 24622.2 +- 9795.9 +- 4208.2 +- 1970.38 +- 949.4 +- 466.875 +- 229.994 +- 116.89 +- 62.17 +- 33.357 +- 18.199 +- 9.772 +- 5.426 +- 3.0905 +- 1.7167 +- 0.90963 +- 0.5003 +- 0.26684 +- 0.13761 +- 0.07125 +- 0.03547 +- 0.017315 +- 0.0082752 +- 0.003744 +- 0.0016581 +- 0.0006909 +- 0.0002583 +- 0.00011 +- 3.58e-05 +- 3.04e-06 +- 20104.9 +- 7668.9 +- 3167.6 +- 1414.54 +- 653.61 +- 311.066 +- 145.509 +- 69.5 +- 34.69 +- 16.754 +- 8.301 +- 4.009 +- 1.952 +- 0.9391 +- 0.4353 +- 0.1905 +- 0.08173 +- 0.032263 +- 0.012586 +- 0.004426 +- 0.001531 +- 0.0004622 +- 0.0001046 +- 1.348e-05 +- 13644.5 +- 5071.1 +- 2024.3 +- 824.82 +- 353.16 +- 143.567 +- 57.724 +- 22.944 +- 9.31 +- 3.705 +- 1.415 +- 0.5147 +- 0.1678 +- 0.04826 +- 0.01333 +- 0.002652 +- 0.000539 +- 4.6e-05 diff --git a/buildmaster/ATLAS_1JET_8TEV_R06/filter.py b/buildmaster/ATLAS_1JET_8TEV_R06/filter.py new file mode 100644 index 0000000000..8e4dc3f733 --- /dev/null +++ b/buildmaster/ATLAS_1JET_8TEV_R06/filter.py @@ -0,0 +1,39 @@ +import yaml +from filter_utils import ( + get_data_values, get_kinematics + ) + +def filter_ATLAS_1JET_8TEV_data_kinetic(): + """ + write kinematics and central data values + in kinematics.yaml and data.yaml files + respectively. + """ + + with open('metadata.yaml', 'r') as file: + metadata = yaml.safe_load(file) + + version = metadata['hepdata']['version'] + tables = metadata['hepdata']['tables'] + + # get kinematics from hepdata tables + kin = get_kinematics(tables,version) + + # get central values from hepdata tables + data_central = get_data_values(tables,version) + + data_central_yaml = { 'data_central' : data_central } + kinematics_yaml = { 'bins' : kin } + + # write central values and kinematics to yaml file + 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) + + +if __name__ == "__main__" : + + # write kinematics and central data values + filter_ATLAS_1JET_8TEV_data_kinetic() \ No newline at end of file diff --git a/buildmaster/ATLAS_1JET_8TEV_R06/filter_utils.py b/buildmaster/ATLAS_1JET_8TEV_R06/filter_utils.py new file mode 100644 index 0000000000..766d0db6d8 --- /dev/null +++ b/buildmaster/ATLAS_1JET_8TEV_R06/filter_utils.py @@ -0,0 +1,107 @@ +import yaml + + + + + +table_to_rapidity = {1: [0.,0.5], 2: [0.5,1.], 3:[1.,1.5], 4:[1.5,2], 5:[2.,2.5], 6:[2.5,3.0]} + +def get_data_values(tables,version): + """ + returns the central data + + Parameters + ---------- + tables : list + list that enumerates the table number + + version : int + integer read from metadata.yaml that + indicated the version of the hepdata + tables + + Returns + ------- + list + list containing the central values for all + hepdata tables + + """ + + data_central = [] + for table in tables: + hepdata_table = f"rawdata/HEPData-ins1604271-v{version}-Table_{table}.yaml" + + with open(hepdata_table, 'r') as file: + input = yaml.safe_load(file) + + values = input['dependent_variables'][0]['values'] + + + for value in values: + data_central.append(value['value']) + + return data_central + + + +def get_kinematics(tables,version): + """ + returns the relevant kinematics values + + Parameters + ---------- + tables : list + list that enumerates the table number + + version : int + integer read from metadata.yaml that + indicated the version of the hepdata + tables + + Returns + ------- + list + list containing the kinematic values for all + hepdata tables + """ + kin = [] + + for table in tables: + + hepdata_table = f"rawdata/HEPData-ins1604271-v{version}-Table_{table}.yaml" + + with open(hepdata_table, 'r') as file: + input = yaml.safe_load(file) + + # rapidity + rapidity_interval = table_to_rapidity[table] + rap = {} + rap['min'], rap['max'] = rapidity_interval[0], rapidity_interval[1] + rap['mid'] = 0.5 * (rap['min'] + rap['max']) + + # center of mass energy + sqrts = float(input['dependent_variables'][0]['qualifiers'][1]['value']) + + # transverse momentum + jet_kt_bins = input['independent_variables'][0]['values'] + KT = {} + for kt in jet_kt_bins: + + KT['min'], KT['max'] = kt['low'], kt['high'] + KT['mid'] = float(f"{0.5 * (kt['low'] + kt['high']):.3f}") + + + kin_value = {'y' : {'min': rap['min'], 'mid': rap['mid'] , 'max': rap['max']}, + 'kt' : {'min': KT['min'], 'mid': KT['mid'] , 'max': KT['max']} , + 'sqrt_s' : {'min': None, 'mid': sqrts , 'max': None}} + + kin.append(kin_value) + + return kin + + +if __name__ == "__main__": + cv = get_data_values(tables = [1],version= 1) + kin = get_kinematics(tables=[1],version=1) + print(kin) \ No newline at end of file diff --git a/buildmaster/ATLAS_1JET_8TEV_R06/kinematics.yaml b/buildmaster/ATLAS_1JET_8TEV_R06/kinematics.yaml new file mode 100644 index 0000000000..cc65031689 --- /dev/null +++ b/buildmaster/ATLAS_1JET_8TEV_R06/kinematics.yaml @@ -0,0 +1,2053 @@ +bins: +- y: + min: 0.0 + mid: 0.25 + max: 0.5 + kt: + min: 70 + mid: 77.5 + max: 85 + sqrt_s: + min: null + mid: 8000.0 + max: null +- y: + min: 0.0 + mid: 0.25 + max: 0.5 + kt: + min: 85 + mid: 92.5 + max: 100 + sqrt_s: + min: null + mid: 8000.0 + max: null +- y: + min: 0.0 + mid: 0.25 + max: 0.5 + kt: + min: 100 + mid: 108.0 + max: 116 + sqrt_s: + min: null + mid: 8000.0 + max: null +- y: + min: 0.0 + mid: 0.25 + max: 0.5 + kt: + min: 116 + mid: 125.0 + max: 134 + sqrt_s: + min: null + mid: 8000.0 + max: null +- y: + min: 0.0 + mid: 0.25 + max: 0.5 + kt: + min: 134 + mid: 143.0 + max: 152 + sqrt_s: + min: null + mid: 8000.0 + max: null +- y: + min: 0.0 + mid: 0.25 + max: 0.5 + kt: + min: 152 + mid: 162.0 + max: 172 + sqrt_s: + min: null + mid: 8000.0 + max: null +- y: + min: 0.0 + mid: 0.25 + max: 0.5 + kt: + min: 172 + mid: 183.0 + max: 194 + sqrt_s: + min: null + mid: 8000.0 + max: null +- y: + min: 0.0 + mid: 0.25 + max: 0.5 + kt: + min: 194 + mid: 205.0 + max: 216 + sqrt_s: + min: null + mid: 8000.0 + max: null +- y: + min: 0.0 + mid: 0.25 + max: 0.5 + kt: + min: 216 + mid: 228.0 + 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b/buildmaster/ATLAS_1JET_8TEV_R06/metadata.yaml new file mode 100644 index 0000000000..92b736d80a --- /dev/null +++ b/buildmaster/ATLAS_1JET_8TEV_R06/metadata.yaml @@ -0,0 +1,66 @@ +# Created on Mar 2023, author: Mark N. Costantini + +# Generalia +setname: "ATLAS_1JET_8TEV_R06" +ndata: 171 +observable: + description: "Double-differential inclusive jet cross-section as functions of jet transverse momentum and the absolute jet rapidity." + label: r"$10^{3*qbin} d^2\sigma/dp_Td|y|$" + units: "[pb/GeV]" + +kinematics: + variables: + y: {description: "jet rapidity", label: "$|y|$", units: ""} + kt: {description: "jet transverse momentum", label: "$k_{T}$", units: ""} + sqrt_s: {description: "center of mass energy", label: r"$\sqrt(s)$", units: "GeV"} + file: kinematics.yaml + +version: 0 +version_comment: "Initial implementation" + +# References +arXiv: + url: "https://arxiv.org/abs/1706.03192" +iNSPIRE: + url: "https://inspirehep.net/literature/1604271" +hepdata: + url: "https://www.hepdata.net/record/ins1604271" + version: 1 + tables: [1,2,3,4,5,6] + + +# Data +data_central: data.yaml +data_uncertainties: + nominal: + - uncertainties.yaml + +# Data (variants) +# variants: +# stronger: +# data_uncertainties: +# - uncertainties.yaml +# - uncertainties_stronger.yaml +# weaker: +# data_uncertainties: +# - uncertainties.yaml +# - uncertainties_weaker.yaml + +# Plotting +kinematic_coverage: + ystar: y + m12: kt +dataset_label: "ATLAS jets 8 TeV, R=0.6" +plot_x: kt +figure_by: + - y + +# Theory +theory: + FK_tables: + - ATLAS_1JET_8TEV_R06 + + +nnpdf_metadata: + nnpdf31_process: "JETS" + experiment: "ATLAS" \ No newline at end of file diff --git a/buildmaster/ATLAS_1JET_8TEV_R06/rawdata/HEPData-ins1604271-v1-Table_1.yaml b/buildmaster/ATLAS_1JET_8TEV_R06/rawdata/HEPData-ins1604271-v1-Table_1.yaml new file mode 100644 index 0000000000..2d1cad2948 --- /dev/null +++ b/buildmaster/ATLAS_1JET_8TEV_R06/rawdata/HEPData-ins1604271-v1-Table_1.yaml @@ -0,0 +1,11365 @@ +independent_variables: +- header: {name: '$p_{Tjet} $', units: GeV} + values: + - {low: 70, high: 85} + - {low: 85, high: 100} + - {low: 100, high: 116} + - {low: 116, high: 134} + - {low: 134, high: 152} + - {low: 152, high: 172} + - {low: 172, high: 194} + - 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{asymerror: {plus: 0.000000e+00, minus: 0.000000e+00}, label: syst_JES_MJB_Stat8 } + - {asymerror: {plus: 0.000000e+00, minus: 0.000000e+00}, label: syst_JES_MJB_Stat9 } + - {asymerror: {plus: 1.728000e-06, minus: -7.705000e-07}, label: syst_JES_MJB_Threshold } + - {asymerror: {plus: 4.906000e-08, minus: 9.126000e-08}, label: syst_JES_Pileup_MuOffset } + - {asymerror: {plus: 5.801000e-08, minus: 1.325500e-08}, label: syst_JES_Pileup_NPVOffset } + - {asymerror: {plus: 6.173000e-07, minus: -1.099100e-06}, label: syst_JES_Pileup_Pt_term } + - {asymerror: {plus: 2.348000e-06, minus: -6.164000e-07}, label: syst_JES_Pileup_Rho_topology } + - {asymerror: {plus: 2.953000e-08, minus: -1.863000e-07}, label: syst_JES_Punch_through } + - {asymerror: {plus: 0.000000e+00, minus: 0.000000e+00}, label: syst_JES_SingleParticle_HighPt } + - {asymerror: {plus: 5.203000e-10, minus: -4.702000e-09}, label: syst_JES_Zjet_JVF } + - {asymerror: {plus: 3.288000e-07, minus: -1.921000e-07}, label: syst_JES_Zjet_MC } + - {asymerror: {plus: -4.043000e-08, minus: 2.523000e-08}, label: syst_JES_Zjet_MuScale } + - {asymerror: {plus: -1.203900e-08, minus: 6.758000e-09}, label: syst_JES_Zjet_MuSmearID } + - {asymerror: {plus: -3.807500e-10, minus: 2.279000e-11}, label: syst_JES_Zjet_MuSmearMS } + - {asymerror: {plus: 2.322000e-06, minus: -4.406000e-07}, label: syst_JES_Zjet_OOC } + - {asymerror: {plus: -3.960300e-10, minus: 9.365000e-13}, label: syst_JES_Zjet_Stat1 } + - {asymerror: {plus: -8.951000e-10, minus: 6.891000e-09}, label: syst_JES_Zjet_Stat10 } + - {asymerror: {plus: 2.384000e-07, minus: 5.426000e-09}, label: syst_JES_Zjet_Stat11 } + - {asymerror: {plus: 1.638000e-08, minus: -2.800000e-09}, label: syst_JES_Zjet_Stat2 } + - {asymerror: {plus: -3.785000e-10, minus: 4.663000e-10}, label: syst_JES_Zjet_Stat3 } + - {asymerror: {plus: 2.915000e-09, minus: -1.911000e-09}, label: syst_JES_Zjet_Stat4 } + - {asymerror: {plus: 4.013000e-09, minus: -3.567000e-09}, label: syst_JES_Zjet_Stat5 } + - {asymerror: {plus: -3.498000e-09, minus: 2.023000e-09}, label: syst_JES_Zjet_Stat6 } + - {asymerror: {plus: 5.233000e-09, minus: 1.968000e-09}, label: syst_JES_Zjet_Stat7 } + - {asymerror: {plus: -3.165000e-09, minus: -9.383000e-10}, label: syst_JES_Zjet_Stat8 } + - {asymerror: {plus: 2.791000e-10, minus: -3.482000e-08}, label: syst_JES_Zjet_Stat9 } + - {asymerror: {plus: 3.464000e-07, minus: -1.801000e-07}, label: syst_JES_Zjet_Veto } + - {asymerror: {plus: -2.731000e-10, minus: 3.664000e-09}, label: syst_JES_Zjet_dPhi } + - {asymerror: {plus: 6.771000e-06, minus: -6.771000e-06}, label: syst_Unfolding_bias } + - {asymerror: {plus: 1.113800e-06, minus: -1.113800e-06}, label: syst_jetselection_BCH } + - {asymerror: {plus: 8.738000e-07, minus: -8.738000e-07}, label: syst_lumi } From 8e71f69f728e56887e9c541cc23f59675f3897a0 Mon Sep 17 00:00:00 2001 From: Mark Nestor Costantini Date: Wed, 12 Apr 2023 14:11:30 +0100 Subject: [PATCH 25/40] added functions to utils --- buildmaster/ATLAS_1JET_8TEV_R06/filter.py | 87 ++++++- .../ATLAS_1JET_8TEV_R06/filter_utils.py | 215 +++++++++++++++++- 2 files changed, 294 insertions(+), 8 deletions(-) diff --git a/buildmaster/ATLAS_1JET_8TEV_R06/filter.py b/buildmaster/ATLAS_1JET_8TEV_R06/filter.py index 8e4dc3f733..32bd642396 100644 --- a/buildmaster/ATLAS_1JET_8TEV_R06/filter.py +++ b/buildmaster/ATLAS_1JET_8TEV_R06/filter.py @@ -1,8 +1,18 @@ import yaml +import numpy as np +import pandas as pd +from scipy.linalg import block_diag from filter_utils import ( - get_data_values, get_kinematics + get_data_values, get_kinematics, + get_stat_errors, get_lumi_errors, + fill_df ) +# ignore pandas warning +import warnings +warnings.filterwarnings('ignore') + + def filter_ATLAS_1JET_8TEV_data_kinetic(): """ write kinematics and central data values @@ -32,8 +42,81 @@ def filter_ATLAS_1JET_8TEV_data_kinetic(): with open('kinematics.yaml', 'w') as file: yaml.dump(kinematics_yaml, file, sort_keys=False) +def filter_ATLAS_1JET_8TEV_uncertainties(): + """ + + """ + with open('metadata.yaml', 'r') as file: + metadata = yaml.safe_load(file) + + version = metadata['hepdata']['version'] + tables = metadata['hepdata']['tables'] + + # get df of uncertainties + dfs = [] + for table in tables: + # uncertainties dataframe + df = fill_df(table,version) + dfs.append(df) + + df_unc = pd.concat([df for df in dfs], axis = 0) + + # statistical errors fully uncorrelated ? + stat_errors = df_unc['stat'].to_numpy() + cov_stat = np.diag(stat_errors**2) + + + BD_stat = np.einsum('i,j->ij',dfs[0]['stat'],dfs[0]['stat']) + for i in range(1,len(dfs)): + cov = np.einsum('i,j->ij',dfs[i]['stat'].to_numpy(),dfs[i]['stat'].to_numpy()) + BD_stat = block_diag(BD_stat,cov) + + # luminosity errors + lum_errors = df_unc["syst_lumi"].to_numpy() + cov_lum = np.einsum("i,j->ij",lum_errors,lum_errors) + + col_to_drop = ("syst_JES_EtaIntercalibration_Stat98", "syst_JES_MJB_Alpha", + "syst_JES_Pileup_MuOffset") + + # df_unc = df_unc.loc[:, ~df.columns.str.startswith(col_to_drop)] + + A_corr = df_unc.drop(["stat","syst_lumi"],axis =1).to_numpy() / np.sqrt(2.) + + cov_corr = np.einsum("ij,kj->ik",A_corr,A_corr) + + covmat = cov_corr + BD_stat + cov_lum + return covmat + + if __name__ == "__main__" : # write kinematics and central data values - filter_ATLAS_1JET_8TEV_data_kinetic() \ No newline at end of file + # filter_ATLAS_1JET_8TEV_data_kinetic() + + covmat = filter_ATLAS_1JET_8TEV_uncertainties() + # print(covmat) + + from validphys.loader import Loader + from validphys.covmats import dataset_inputs_covmat_from_systematics + setname = "ATLAS_1JET_8TEV_R06" + l = Loader() + cd = l.check_commondata(setname = setname).load_commondata_instance() + dataset_input = l.check_dataset(setname,theoryid=200) + from validphys.commondataparser import parse_commondata + dat_file = '/Users/markcostantini/codes/nnpdfgit/nnpdf/buildmaster/results/DATA_ATLAS_1JET_8TEV_R06.dat' + sys_file = '/Users/markcostantini/codes/nnpdfgit/nnpdf/buildmaster/results/systypes/SYSTYPE_ATLAS_1JET_8TEV_R06_DEFAULT.dat' + + cd = parse_commondata(dat_file,sys_file,setname) + + cmat = dataset_inputs_covmat_from_systematics( + dataset_inputs_loaded_cd_with_cuts=[cd], + data_input = [dataset_input], + use_weights_in_covmat=False, + norm_threshold=None, + _list_of_central_values=None, + _only_additive=False, + ) + + print(covmat / cmat) + print(np.allclose(covmat / cmat, np.ones(cmat.shape))) \ No newline at end of file diff --git a/buildmaster/ATLAS_1JET_8TEV_R06/filter_utils.py b/buildmaster/ATLAS_1JET_8TEV_R06/filter_utils.py index 766d0db6d8..33292ef147 100644 --- a/buildmaster/ATLAS_1JET_8TEV_R06/filter_utils.py +++ b/buildmaster/ATLAS_1JET_8TEV_R06/filter_utils.py @@ -1,7 +1,6 @@ import yaml - - - +import numpy as np +import pandas as pd table_to_rapidity = {1: [0.,0.5], 2: [0.5,1.], 3:[1.,1.5], 4:[1.5,2], 5:[2.,2.5], 6:[2.5,3.0]} @@ -100,8 +99,212 @@ def get_kinematics(tables,version): return kin +def get_stat_errors(tables,version): + """ + return array of statistical errors + from HEPdata tables + + Parameters + ---------- + tables : list + list that enumerates the table number + + version : int + integer read from metadata.yaml that + indicated the version of the hepdata + tables + + Returns + ------- + array + array of statistical errors + """ + stat_err = [] + for table in tables: + + hepdata_table = f"rawdata/HEPData-ins1604271-v{version}-Table_{table}.yaml" + + with open(hepdata_table, 'r') as file: + input = yaml.safe_load(file) + + values = input['dependent_variables'][0]['values'] + + for value in values: + err_dict = value['errors'][0] + if err_dict['label'] != 'stat': + raise("label of error is not stat") + stat_err.append(err_dict['asymerror']['plus']) + + return np.array(stat_err) + + +def get_lumi_errors(tables,version): + """ + return array of luminosity errors + from HEPdata tables + + Parameters + ---------- + tables : list + list that enumerates the table number + + version : int + integer read from metadata.yaml that + indicated the version of the hepdata + tables + + Returns + ------- + array + array of luminosity errors + """ + lumi_err = [] + + for table in tables: + hepdata_table = f"rawdata/HEPData-ins1604271-v{version}-Table_{table}.yaml" + + with open(hepdata_table, 'r') as file: + input = yaml.safe_load(file) + + values = input['dependent_variables'][0]['values'] + + for value in values: + if value['errors'][-1]['label'] != 'syst_lumi': + raise("syst_lumi has to be the label of unc") + lumi_err.append(value['errors'][-1]['asymerror']['plus']) + + return np.array(lumi_err) + +def HEP_table_to_df(table,version): + """ + Given hep data table return a pandas + DataFrame with index given by Ndata, + columns by the uncertainties and + np.nan entries + + Parameters + ---------- + table : int + number of table + version : int + version number + + """ + hepdata_table = f"rawdata/HEPData-ins1604271-v{version}-Table_{table}.yaml" + with open(hepdata_table, 'r') as file: + card = yaml.safe_load(file) + + # list of len ndata. Each entry is dict with + # keys errors and value + card = card['dependent_variables'][0]['values'] + df_nan = pd.DataFrame(index = range(1,len(card)+1)) + + errors = card[0]['errors'] + for err in errors: + # luminosity and stat uncertainty, always symmetric + if err['label'] == 'syst_lumi': + df_nan[err['label']] = np.nan + elif err['label'] == 'stat': + df_nan[err['label']] = np.nan + else: + df_nan[f"{err['label']}_plus"] = np.nan + df_nan[f"{err['label']}_minus"] = np.nan + + return df_nan + + +def fill_df(table, version): + """ + Fill a data frame with index + corresponding to measured datapoints + and columns to different uncertainties + Each df is for a fixed rapidity bin. + + Parameters + ---------- + table : int + number of table + version : int + version number + """ + hepdata_table = f"rawdata/HEPData-ins1604271-v{version}-Table_{table}.yaml" + with open(hepdata_table, 'r') as file: + card = yaml.safe_load(file) + + + # list of len ndata. Each entry is dict with + # keys errors and value + card = card['dependent_variables'][0]['values'] + df = HEP_table_to_df(table,version) + + for i,dat in enumerate(card): + # cv = dat['value'] + + for j, err in enumerate(dat['errors']): + + # lum and stat uncertainties are always symmetric + if err['label'] == 'stat': + df.loc[df.index == i+1, err['label']] = err['asymerror']['plus'] + elif err['label'] == 'syst_lumi': + df.loc[df.index == i+1, err['label']] = err['asymerror']['plus'] + else: + dp, dm = process_err(err) + df.loc[df.index == i+1, f"{err['label']}_plus"] = dp #err['asymerror']['plus'] + df.loc[df.index == i+1, f"{err['label']}_minus"] = dm #err['asymerror']['minus'] + return df + + +def process_err(error): + """ + Note: the d'Agostini prescription for the + symmetrization of the error does not hold here. + We follow here the experimental prescription + + Parameters + ---------- + + error : dictionary + e.g. {'label': 'sys', 'symerror': 0.1%} + + Returns + ------- + tuple + tuple containing two floats + + """ + d_p = float(error['asymerror']['plus']) + d_m = float(error['asymerror']['minus']) + + tmp1 = d_p + tmp2 = d_m + # case 1: d_p and d_m are both negative + if (tmp1<0.0 and tmp2<0.0): + if(tmp20.0 and tmp2>0.0): + if(tmp1>tmp2): + d_p = tmp1 + d_m = 0.0 + else: + d_p = tmp2 + d_m = 0.0 + return d_p, d_m + + if __name__ == "__main__": - cv = get_data_values(tables = [1],version= 1) - kin = get_kinematics(tables=[1],version=1) - print(kin) \ No newline at end of file + # cv = get_data_values(tables = [1],version= 1) + # kin = get_kinematics(tables=[1],version=1) + # err = get_lumi_errors(tables=[1], version=1) + # print(err) + + # df = HEP_table_to_df(table=1,version=1) + df = fill_df(table=1, version=1) + print(df) + \ No newline at end of file From 2fca2cfd2759498dd502f29288be40f4684934e9 Mon Sep 17 00:00:00 2001 From: Mark Nestor Costantini Date: Wed, 12 Apr 2023 14:11:48 +0100 Subject: [PATCH 26/40] added CMS 2Jet uncertainty file --- buildmaster/CMS_2JET_7TEV/uncertainties.yaml | 3250 ++++++++++++++++++ 1 file changed, 3250 insertions(+) create mode 100644 buildmaster/CMS_2JET_7TEV/uncertainties.yaml diff --git a/buildmaster/CMS_2JET_7TEV/uncertainties.yaml b/buildmaster/CMS_2JET_7TEV/uncertainties.yaml new file mode 100644 index 0000000000..b3891ff6d1 --- /dev/null +++ b/buildmaster/CMS_2JET_7TEV/uncertainties.yaml @@ -0,0 +1,3250 @@ +definition: + art_sys_corr_1: + description: artificial systematic 1 + treatment: ADD + type: CORR + art_sys_corr_2: + description: artificial systematic 2 + treatment: ADD + type: CORR + art_sys_corr_3: + description: artificial systematic 3 + treatment: ADD + type: CORR + art_sys_corr_4: + description: artificial systematic 4 + treatment: ADD + type: CORR + art_sys_corr_5: + description: artificial systematic 5 + treatment: ADD + type: CORR + art_sys_corr_6: + description: artificial systematic 6 + treatment: ADD + type: CORR + art_sys_corr_7: + description: artificial systematic 7 + treatment: ADD + type: CORR + art_sys_corr_8: + description: artificial systematic 8 + treatment: ADD + type: CORR + art_sys_corr_9: + description: artificial systematic 9 + treatment: ADD + type: CORR + art_sys_corr_10: + description: artificial systematic 10 + treatment: ADD + type: CORR + art_sys_corr_11: + description: artificial systematic 11 + treatment: ADD + type: CORR + art_sys_corr_12: + description: artificial systematic 12 + treatment: ADD + type: CORR + art_sys_corr_13: + description: artificial systematic 13 + treatment: ADD + type: CORR + art_sys_corr_14: + description: artificial systematic 14 + treatment: ADD + type: CORR + art_sys_corr_15: + description: artificial systematic 15 + treatment: ADD + type: CORR + art_sys_corr_16: + description: artificial systematic 16 + treatment: ADD + type: CORR + art_sys_corr_17: + description: artificial systematic 17 + treatment: ADD + type: CORR + art_sys_corr_18: + description: artificial systematic 18 + treatment: ADD + type: CORR + art_sys_corr_19: + description: artificial systematic 19 + treatment: ADD + type: CORR + art_sys_corr_20: + description: artificial systematic 20 + treatment: ADD + type: CORR + art_sys_corr_21: + description: artificial systematic 21 + treatment: ADD + type: CORR + art_sys_corr_22: + description: artificial systematic 22 + treatment: ADD + type: CORR + art_sys_corr_23: + description: artificial systematic 23 + treatment: ADD + type: CORR + art_sys_corr_24: + description: artificial systematic 24 + treatment: ADD + type: CORR + art_sys_corr_25: + description: artificial systematic 25 + treatment: ADD + type: CORR + art_sys_corr_26: + description: artificial systematic 26 + treatment: ADD + type: CORR + art_sys_corr_27: + description: artificial systematic 27 + treatment: ADD + type: CORR + art_sys_corr_28: + description: artificial systematic 28 + treatment: ADD + type: CORR + art_sys_corr_29: + description: artificial systematic 29 + treatment: ADD + type: CORR + art_sys_corr_30: + description: artificial systematic 30 + treatment: ADD + type: CORR + art_sys_corr_31: + description: artificial systematic 31 + treatment: ADD + type: CORR + art_sys_corr_32: + description: artificial systematic 32 + treatment: ADD + type: CORR + art_sys_corr_33: + description: artificial systematic 33 + treatment: ADD + type: CORR + art_sys_corr_34: + description: artificial systematic 34 + treatment: ADD + type: CORR + art_sys_corr_35: + description: artificial systematic 35 + treatment: ADD + type: CORR + art_sys_corr_36: + description: artificial systematic 36 + treatment: ADD + type: CORR + art_sys_corr_37: + description: artificial systematic 37 + treatment: ADD + type: CORR + art_sys_corr_38: + description: artificial systematic 38 + treatment: ADD + type: CORR + art_sys_corr_39: + description: artificial systematic 39 + treatment: ADD + type: CORR + art_sys_corr_40: + description: artificial systematic 40 + treatment: ADD + type: CORR + art_sys_corr_41: + description: artificial systematic 41 + treatment: ADD + type: CORR + art_sys_corr_42: + description: artificial systematic 42 + treatment: ADD + type: CORR + art_sys_corr_43: + description: artificial systematic 43 + treatment: ADD + type: CORR + art_sys_corr_44: + description: artificial systematic 44 + treatment: ADD + type: CORR + art_sys_corr_45: + description: artificial systematic 45 + treatment: ADD + type: CORR + art_sys_corr_46: + description: artificial systematic 46 + treatment: ADD + type: CORR + art_sys_corr_47: + description: artificial systematic 47 + treatment: ADD + type: CORR + art_sys_corr_48: + description: artificial systematic 48 + treatment: ADD + type: CORR + art_sys_corr_49: + description: artificial systematic 49 + treatment: ADD + type: CORR + art_sys_corr_50: + description: artificial systematic 50 + treatment: ADD + type: CORR + art_sys_corr_51: + description: artificial systematic 51 + treatment: ADD + type: CORR + art_sys_corr_52: + description: artificial systematic 52 + treatment: ADD + type: CORR + art_sys_corr_53: + description: artificial systematic 53 + treatment: ADD + type: CORR + art_sys_corr_54: + description: artificial systematic 54 + treatment: ADD + type: CORR + luminosity_uncertainty: + description: luminosity uncertainty + treatment: ADD + type: CMSLUMI11 + bin_by_bin_uncertainty: + description: bin_by_bin_uncertainty + treatment: ADD + type: UNCORR +bins: +- art_sys_corr_1: 11.979115224731457 + art_sys_corr_2: -2.2392853602534895 + art_sys_corr_3: -0.12251250449157428 + art_sys_corr_4: 0.04594846216657079 + art_sys_corr_5: 0.03571860047748709 + art_sys_corr_6: -0.02207617430695781 + art_sys_corr_7: 0.0026759366937245985 + art_sys_corr_8: -0.0025485545973356746 + art_sys_corr_9: -0.001042723033886846 + art_sys_corr_10: -0.00087718770853638 + art_sys_corr_11: 0.00029325111119278183 + art_sys_corr_12: 0.0003565655474563774 + art_sys_corr_13: -8.659583979287609e-06 + art_sys_corr_14: -0.0001413308181465049 + art_sys_corr_15: 9.86595650555414e-05 + art_sys_corr_16: 1.863735902320701e-05 + art_sys_corr_17: -3.110497505795425e-06 + art_sys_corr_18: 3.645024617149395e-05 + art_sys_corr_19: 3.442652719716836e-06 + art_sys_corr_20: -4.36451672949812e-06 + art_sys_corr_21: -1.1365554240147898e-06 + art_sys_corr_22: -1.8468302668038486e-06 + art_sys_corr_23: 2.650890225180743e-07 + art_sys_corr_24: 8.750479754369545e-08 + art_sys_corr_25: 3.045255451176261e-07 + art_sys_corr_26: 5.25671500950225e-08 + art_sys_corr_27: 2.87521984158283e-08 + art_sys_corr_28: -4.420461175287089e-09 + art_sys_corr_29: -2.2333573336539014e-08 + art_sys_corr_30: -1.980523918367042e-09 + art_sys_corr_31: 3.667865699813693e-09 + art_sys_corr_32: 1.9183577461623312e-09 + art_sys_corr_33: -2.701570692675062e-10 + art_sys_corr_34: -1.4420066732582976e-10 + art_sys_corr_35: 2.940881824099631e-10 + art_sys_corr_36: 1.899124706642933e-10 + art_sys_corr_37: 1.7605197100463545e-10 + art_sys_corr_38: -6.595049488319643e-11 + 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-3.6875388782204175e-06 + art_sys_corr_32: -3.6517298678051926e-06 + art_sys_corr_33: -1.4097981265420544e-07 + art_sys_corr_34: 2.1128249644478134e-07 + art_sys_corr_35: 4.882756004584428e-06 + art_sys_corr_36: -1.1179902763695596e-06 + art_sys_corr_37: 3.3523231232539845e-08 + art_sys_corr_38: 2.510205657290762e-08 + art_sys_corr_39: -5.791622220637011e-08 + art_sys_corr_40: 2.0926362018107312e-08 + art_sys_corr_41: -8.185201652270496e-09 + art_sys_corr_42: 1.3503635195016705e-09 + art_sys_corr_43: 1.2750596644688752e-09 + art_sys_corr_44: -1.5059353677190603e-09 + art_sys_corr_45: 1.3704195442851303e-09 + art_sys_corr_46: 7.962485018936711e-10 + art_sys_corr_47: 7.673092494075739e-11 + art_sys_corr_48: -3.4056065037079295e-11 + art_sys_corr_49: -6.530111296937297e-11 + art_sys_corr_50: -5.411449748638658e-12 + art_sys_corr_51: -2.7558916036684753e-12 + art_sys_corr_52: 4.0896550458670513e-11 + art_sys_corr_53: 4.819672697816163e-13 + art_sys_corr_54: 6.682325325860225e-13 + luminosity_uncertainty: 5.434e-05 + bin_by_bin_uncertainty: 2.47e-05 +- art_sys_corr_1: 5.252428962494408e-05 + art_sys_corr_2: 2.6229302265810935e-05 + art_sys_corr_3: 0.00012149598145446596 + art_sys_corr_4: 3.331528961187268e-05 + art_sys_corr_5: 6.4173452576858296e-06 + art_sys_corr_6: -3.4782164311543963e-06 + art_sys_corr_7: -7.4441566911025e-05 + art_sys_corr_8: 1.2696585121852595e-05 + art_sys_corr_9: 1.2441468242285201e-05 + art_sys_corr_10: -1.56715075252349e-05 + art_sys_corr_11: 2.8103183594940332e-05 + art_sys_corr_12: 7.904487867059471e-07 + art_sys_corr_13: 1.1257934888091593e-06 + art_sys_corr_14: -8.70444290709819e-06 + art_sys_corr_15: 1.8360356464190668e-05 + art_sys_corr_16: 1.1057394940365492e-05 + art_sys_corr_17: -1.3079830389277801e-05 + art_sys_corr_18: 7.218261682747052e-06 + art_sys_corr_19: 6.6975869453504315e-06 + art_sys_corr_20: -4.106773912648534e-06 + art_sys_corr_21: -1.532605391997847e-05 + art_sys_corr_22: -1.0329126828729218e-05 + art_sys_corr_23: 1.3149850545744001e-05 + art_sys_corr_24: 7.767674326675219e-07 + art_sys_corr_25: -1.4716511345936107e-06 + art_sys_corr_26: 1.0518500683715328e-05 + art_sys_corr_27: 9.955591220056566e-06 + art_sys_corr_28: 3.4814616955188925e-05 + art_sys_corr_29: -6.793215998342461e-06 + art_sys_corr_30: -8.757779676605526e-07 + art_sys_corr_31: 1.1839828137889942e-05 + art_sys_corr_32: 1.5266425935557948e-05 + art_sys_corr_33: 5.592583659172636e-06 + art_sys_corr_34: 1.3436499106961235e-05 + art_sys_corr_35: 0.00013444297838294806 + art_sys_corr_36: -1.9949739922137234e-05 + art_sys_corr_37: 4.6406727721751633e-07 + art_sys_corr_38: 2.647027842266917e-07 + art_sys_corr_39: -6.875917724256615e-07 + art_sys_corr_40: 2.1699467017151571e-07 + art_sys_corr_41: -1.0192839157383606e-07 + art_sys_corr_42: 7.071488227866237e-09 + art_sys_corr_43: 1.0311877495007885e-07 + art_sys_corr_44: -2.0912717014309592e-08 + art_sys_corr_45: 1.813297543808515e-08 + art_sys_corr_46: 9.990499356377668e-09 + art_sys_corr_47: 8.886755242989639e-10 + art_sys_corr_48: -3.7336193954599e-10 + art_sys_corr_49: -7.786995728878321e-10 + art_sys_corr_50: -5.879359600903887e-11 + art_sys_corr_51: -3.0347886561371155e-11 + art_sys_corr_52: 4.410641959946086e-10 + art_sys_corr_53: 5.845665601627537e-12 + art_sys_corr_54: 7.117125585206692e-12 + luminosity_uncertainty: 1.3816e-05 + bin_by_bin_uncertainty: 6.28e-06 +- art_sys_corr_1: 2.002717164606752e-06 + art_sys_corr_2: 1.0963691139249514e-06 + art_sys_corr_3: 4.927750874040664e-06 + art_sys_corr_4: 1.3845995644351398e-06 + art_sys_corr_5: 2.646897990269382e-07 + art_sys_corr_6: -1.6529715838103573e-07 + art_sys_corr_7: -3.023574266592745e-06 + art_sys_corr_8: 6.085611642242806e-07 + art_sys_corr_9: 4.987006232052863e-07 + art_sys_corr_10: -6.012639839371372e-07 + art_sys_corr_11: 1.1272255634211785e-06 + art_sys_corr_12: -9.355031373001879e-09 + art_sys_corr_13: 5.5011689486022224e-08 + art_sys_corr_14: -2.543136759568528e-07 + art_sys_corr_15: 8.784403702200254e-07 + art_sys_corr_16: 4.228005827931539e-07 + art_sys_corr_17: -5.206368476379106e-07 + art_sys_corr_18: 3.571814045845465e-07 + art_sys_corr_19: 2.7714341393898965e-07 + art_sys_corr_20: -2.1440992169599655e-07 + art_sys_corr_21: -5.447321522374925e-07 + art_sys_corr_22: -4.469761943175555e-07 + art_sys_corr_23: 8.441248567864714e-07 + art_sys_corr_24: 1.0995679169707812e-08 + art_sys_corr_25: -7.70862165405231e-08 + art_sys_corr_26: 4.688286779465087e-07 + art_sys_corr_27: 5.298974765820848e-07 + art_sys_corr_28: -1.998019827054809e-07 + art_sys_corr_29: -3.4572415142241043e-07 + art_sys_corr_30: 1.2648579981204627e-08 + art_sys_corr_31: 2.1985443921628664e-07 + art_sys_corr_32: 3.4449107737797037e-07 + art_sys_corr_33: 8.117991368928817e-08 + art_sys_corr_34: 1.24814586793786e-07 + art_sys_corr_35: -1.050265403081404e-06 + art_sys_corr_36: 5.585225807096969e-07 + art_sys_corr_37: -1.1563853508459836e-07 + art_sys_corr_38: -7.085033814770232e-08 + art_sys_corr_39: 1.318934392210274e-07 + art_sys_corr_40: -3.120816342319049e-07 + art_sys_corr_41: 1.5861242376928466e-07 + art_sys_corr_42: -5.6688047969590696e-08 + art_sys_corr_43: 1.2566312548484569e-05 + art_sys_corr_44: -4.555786131660541e-07 + art_sys_corr_45: 3.23858074929373e-07 + art_sys_corr_46: 1.4415724759607578e-07 + art_sys_corr_47: 5.7225908956806e-09 + art_sys_corr_48: -2.368917946150719e-09 + art_sys_corr_49: -5.6683218381909536e-09 + art_sys_corr_50: -3.124913723344973e-10 + art_sys_corr_51: -9.162528219732621e-11 + art_sys_corr_52: 3.2594865129397757e-09 + art_sys_corr_53: 5.038476894735605e-11 + art_sys_corr_54: 3.640048920637229e-11 + luminosity_uncertainty: 2.662e-07 + bin_by_bin_uncertainty: 1.2099999999999998e-07 From 8d0cd644bd59f7ffa11f2a814d9baf524220796d Mon Sep 17 00:00:00 2001 From: Mark Nestor Costantini Date: Thu, 13 Apr 2023 10:59:24 +0100 Subject: [PATCH 27/40] added unc file --- buildmaster/ATLAS_1JET_8TEV_R06/filter.py | 115 +- .../ATLAS_1JET_8TEV_R06/filter_utils.py | 9 + .../ATLAS_1JET_8TEV_R06/uncertainties.yaml | 30277 ++++++++++++++++ 3 files changed, 30380 insertions(+), 21 deletions(-) create mode 100644 buildmaster/ATLAS_1JET_8TEV_R06/uncertainties.yaml diff --git a/buildmaster/ATLAS_1JET_8TEV_R06/filter.py b/buildmaster/ATLAS_1JET_8TEV_R06/filter.py index 32bd642396..de8f817df2 100644 --- a/buildmaster/ATLAS_1JET_8TEV_R06/filter.py +++ b/buildmaster/ATLAS_1JET_8TEV_R06/filter.py @@ -5,7 +5,7 @@ from filter_utils import ( get_data_values, get_kinematics, get_stat_errors, get_lumi_errors, - fill_df + fill_df, decompose_covmat ) # ignore pandas warning @@ -44,7 +44,29 @@ def filter_ATLAS_1JET_8TEV_data_kinetic(): def filter_ATLAS_1JET_8TEV_uncertainties(): """ - + write uncertainties to uncertainties.yaml + file. + There are three types of uncertainties: + + 1. Statistical Uncertainties: CORR + -> correlated over the full dataset + + 2. Artificial Uncertainties: CORR, these + are obtained by following the steps: + + - Construct an Error matrix in which + each part of an asymmetric error is considered + as as separate error (hence dividing by sqrt(2)) + see also filter_utils/process_error and + filter_utils/HEP_table_to_df + + - Construct covariance matrix from the Error matrix + + - Decompose covariance matrix so as to get ndat unc + + 3. Luminosity Uncertainty: ATLASLUMI12 + this uncertainty is correlated with all + the other ATLASLUMI12 datasets """ with open('metadata.yaml', 'r') as file: metadata = yaml.safe_load(file) @@ -61,31 +83,65 @@ def filter_ATLAS_1JET_8TEV_uncertainties(): df_unc = pd.concat([df for df in dfs], axis = 0) - # statistical errors fully uncorrelated ? + # statistical errors fully uncorrelated stat_errors = df_unc['stat'].to_numpy() - cov_stat = np.diag(stat_errors**2) - - BD_stat = np.einsum('i,j->ij',dfs[0]['stat'],dfs[0]['stat']) - for i in range(1,len(dfs)): - cov = np.einsum('i,j->ij',dfs[i]['stat'].to_numpy(),dfs[i]['stat'].to_numpy()) - BD_stat = block_diag(BD_stat,cov) + # BD_stat = np.einsum('i,j->ij',dfs[0]['stat'],dfs[0]['stat']) + # for i in range(1,len(dfs)): + # cov = np.einsum('i,j->ij',dfs[i]['stat'].to_numpy(),dfs[i]['stat'].to_numpy()) + # BD_stat = block_diag(BD_stat,cov) # luminosity errors lum_errors = df_unc["syst_lumi"].to_numpy() - cov_lum = np.einsum("i,j->ij",lum_errors,lum_errors) - - col_to_drop = ("syst_JES_EtaIntercalibration_Stat98", "syst_JES_MJB_Alpha", - "syst_JES_Pileup_MuOffset") + + # col_to_drop = ("syst_JES_EtaIntercalibration_Stat98", "syst_JES_MJB_Alpha", + # "syst_JES_Pileup_MuOffset") # df_unc = df_unc.loc[:, ~df.columns.str.startswith(col_to_drop)] A_corr = df_unc.drop(["stat","syst_lumi"],axis =1).to_numpy() / np.sqrt(2.) - cov_corr = np.einsum("ij,kj->ik",A_corr,A_corr) + A_art_corr = decompose_covmat(covmat=cov_corr) + cov_corr1 = np.einsum("ij,kj->ik",A_art_corr,A_art_corr) + print(f"same cov_corr mat? :{np.allclose(cov_corr,cov_corr1)}") + + # error definition + error_definition = {f"art_sys_corr_{i}" : {"description": f"artificial systematic {i}", + "treatment": "ADD", "type": "CORR"} + for i in range(1,A_art_corr.shape[0]+1)} + + error_definition["luminosity_uncertainty"] = {"description": "luminosity uncertainty", + "treatment": "ADD", "type": "ATLASLUMI12"} + + error_definition["statistical_uncertainty"] = {"description": "statistical uncertainty", + "treatment": "ADD", "type": "CORR"} + + # store error in dict + error = [] + for n in range(A_art_corr.shape[0]): + error_value={} + for m in range(A_art_corr.shape[1]): + error_value[f"art_sys_corr_{m+1}"] = float(A_art_corr[n,m]) + + error_value["luminosity_uncertainty"] = float(lum_errors[n]) + error_value["statistical_uncertainty"] = float(stat_errors[n]) + error.append(error_value) + + uncertainties_yaml = {"definition": error_definition, "bins": error} + + with open(f"uncertainties.yaml",'w') as file: + yaml.dump(uncertainties_yaml,file, sort_keys=False) + - covmat = cov_corr + BD_stat + cov_lum - return covmat + cov_lum = np.einsum("i,j->ij",lum_errors,lum_errors) + cov_stat = np.diag(stat_errors**2) + + + + covmat = cov_corr + cov_stat + cov_lum + covmat1 = cov_corr1 + cov_stat + cov_lum + print(f"same covmat ?: {np.allclose(covmat,covmat1)}") + return np.real(covmat1) @@ -95,18 +151,30 @@ def filter_ATLAS_1JET_8TEV_uncertainties(): # filter_ATLAS_1JET_8TEV_data_kinetic() covmat = filter_ATLAS_1JET_8TEV_uncertainties() - # print(covmat) + from validphys.loader import Loader from validphys.covmats import dataset_inputs_covmat_from_systematics + from validphys.api import API + from validphys.commondataparser import parse_commondata + setname = "ATLAS_1JET_8TEV_R06" + dsinps = [ + {'dataset': setname}, + ] + inp = dict(dataset_inputs=dsinps, theoryid=200, use_cuts="internal") + cov = API.dataset_inputs_covmat_from_systematics(**inp) + l = Loader() cd = l.check_commondata(setname = setname).load_commondata_instance() dataset_input = l.check_dataset(setname,theoryid=200) - from validphys.commondataparser import parse_commondata + dat_file = '/Users/markcostantini/codes/nnpdfgit/nnpdf/buildmaster/results/DATA_ATLAS_1JET_8TEV_R06.dat' + # dat_file = '/Users/markcostantini/codes/nnpdfgit/nnpdf/nnpdfcpp/data/commondata/DATA_ATLAS_1JET_8TEV_R06.dat' + sys_file = '/Users/markcostantini/codes/nnpdfgit/nnpdf/buildmaster/results/systypes/SYSTYPE_ATLAS_1JET_8TEV_R06_DEFAULT.dat' - + sys_file = '/Users/markcostantini/codes/nnpdfgit/nnpdf/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLAS_1JET_8TEV_R06_DEFAULT.dat' + cd = parse_commondata(dat_file,sys_file,setname) cmat = dataset_inputs_covmat_from_systematics( @@ -118,5 +186,10 @@ def filter_ATLAS_1JET_8TEV_uncertainties(): _only_additive=False, ) - print(covmat / cmat) - print(np.allclose(covmat / cmat, np.ones(cmat.shape))) \ No newline at end of file + # print(cov / cmat) + # print(np.allclose(cov / cmat, np.ones(cmat.shape))) + + ones = cov / covmat + print(ones) + print(np.max(ones), np.min(ones)) + print(np.allclose(ones, np.ones(cov.shape), rtol = 1e-5)) \ No newline at end of file diff --git a/buildmaster/ATLAS_1JET_8TEV_R06/filter_utils.py b/buildmaster/ATLAS_1JET_8TEV_R06/filter_utils.py index 33292ef147..9125690eee 100644 --- a/buildmaster/ATLAS_1JET_8TEV_R06/filter_utils.py +++ b/buildmaster/ATLAS_1JET_8TEV_R06/filter_utils.py @@ -175,6 +175,15 @@ def get_lumi_errors(tables,version): return np.array(lumi_err) +def decompose_covmat(covmat): + """Given a covmat it return an array sys with shape (ndat,ndat) + giving ndat correlated systematics for each of the ndat point. + The original covmat is obtained by doing sys@sys.T""" + + lamb, mat = np.linalg.eig(covmat) + sys = np.multiply(np.sqrt(lamb), mat) + return sys + def HEP_table_to_df(table,version): """ Given hep data table return a pandas diff --git a/buildmaster/ATLAS_1JET_8TEV_R06/uncertainties.yaml b/buildmaster/ATLAS_1JET_8TEV_R06/uncertainties.yaml new file mode 100644 index 0000000000..0f4592f3b9 --- /dev/null +++ b/buildmaster/ATLAS_1JET_8TEV_R06/uncertainties.yaml @@ -0,0 +1,30277 @@ +definition: + art_sys_corr_1: + description: artificial systematic 1 + treatment: ADD + type: CORR + art_sys_corr_2: + description: artificial systematic 2 + treatment: ADD + type: CORR + art_sys_corr_3: + description: artificial systematic 3 + treatment: ADD + type: CORR + art_sys_corr_4: + description: artificial systematic 4 + treatment: ADD + type: CORR + art_sys_corr_5: + description: artificial systematic 5 + treatment: ADD + type: CORR + art_sys_corr_6: + description: artificial systematic 6 + treatment: ADD + type: CORR + art_sys_corr_7: + description: artificial systematic 7 + treatment: ADD + type: CORR + art_sys_corr_8: + description: artificial systematic 8 + treatment: ADD + type: CORR + art_sys_corr_9: + description: artificial systematic 9 + treatment: ADD + type: CORR + art_sys_corr_10: + description: artificial systematic 10 + treatment: ADD + type: CORR + art_sys_corr_11: + description: artificial systematic 11 + treatment: ADD + type: CORR + art_sys_corr_12: + description: artificial systematic 12 + treatment: ADD + type: CORR + art_sys_corr_13: + description: artificial systematic 13 + treatment: ADD + type: CORR + art_sys_corr_14: + description: artificial systematic 14 + treatment: ADD + type: CORR + art_sys_corr_15: + description: artificial systematic 15 + treatment: ADD + type: CORR + art_sys_corr_16: + description: artificial systematic 16 + treatment: ADD + type: CORR + art_sys_corr_17: + description: artificial systematic 17 + treatment: ADD + type: CORR + art_sys_corr_18: + description: artificial systematic 18 + treatment: ADD + type: CORR + art_sys_corr_19: + description: artificial systematic 19 + treatment: ADD + type: CORR + art_sys_corr_20: + description: artificial systematic 20 + treatment: ADD + type: CORR + art_sys_corr_21: + description: artificial systematic 21 + treatment: ADD + type: CORR + art_sys_corr_22: + description: artificial systematic 22 + treatment: ADD + type: CORR + art_sys_corr_23: + description: artificial systematic 23 + treatment: ADD + type: CORR + art_sys_corr_24: + description: artificial systematic 24 + treatment: ADD + type: CORR + art_sys_corr_25: + description: artificial systematic 25 + treatment: ADD + type: CORR + art_sys_corr_26: + description: artificial systematic 26 + treatment: ADD + type: CORR + art_sys_corr_27: + description: artificial systematic 27 + treatment: ADD + type: CORR + art_sys_corr_28: + description: artificial systematic 28 + treatment: ADD + type: CORR + art_sys_corr_29: + description: artificial systematic 29 + treatment: ADD + type: CORR + art_sys_corr_30: + description: artificial systematic 30 + treatment: ADD + type: CORR + art_sys_corr_31: + description: artificial systematic 31 + treatment: ADD + type: CORR + art_sys_corr_32: + description: artificial systematic 32 + treatment: ADD + type: CORR + art_sys_corr_33: + description: artificial systematic 33 + treatment: ADD + type: CORR + art_sys_corr_34: + description: artificial systematic 34 + treatment: ADD + type: CORR + art_sys_corr_35: + description: artificial systematic 35 + treatment: ADD + type: CORR + art_sys_corr_36: + description: artificial systematic 36 + treatment: ADD + type: CORR + art_sys_corr_37: + description: artificial systematic 37 + treatment: ADD + type: CORR + art_sys_corr_38: + description: artificial systematic 38 + treatment: ADD + type: CORR + art_sys_corr_39: + description: artificial systematic 39 + treatment: ADD + type: CORR + art_sys_corr_40: + description: artificial systematic 40 + treatment: ADD + type: CORR + art_sys_corr_41: + description: artificial systematic 41 + treatment: ADD + type: CORR + art_sys_corr_42: + description: artificial systematic 42 + treatment: ADD + type: CORR + art_sys_corr_43: + description: artificial systematic 43 + treatment: ADD + type: CORR + art_sys_corr_44: + description: artificial systematic 44 + treatment: ADD + type: CORR + art_sys_corr_45: + description: artificial systematic 45 + treatment: ADD + type: CORR + art_sys_corr_46: + description: artificial systematic 46 + treatment: ADD + type: CORR + art_sys_corr_47: + description: artificial systematic 47 + treatment: ADD + type: CORR + art_sys_corr_48: + description: artificial systematic 48 + treatment: ADD + type: CORR + art_sys_corr_49: + description: artificial systematic 49 + treatment: ADD + type: CORR + art_sys_corr_50: + description: artificial systematic 50 + treatment: ADD + type: CORR + art_sys_corr_51: + description: artificial systematic 51 + treatment: ADD + type: CORR + art_sys_corr_52: + description: artificial systematic 52 + treatment: ADD + type: CORR + art_sys_corr_53: + description: artificial systematic 53 + treatment: ADD + type: CORR + art_sys_corr_54: + description: artificial systematic 54 + treatment: ADD + type: CORR + art_sys_corr_55: + description: artificial systematic 55 + treatment: ADD + type: CORR + art_sys_corr_56: + description: artificial systematic 56 + treatment: ADD + type: CORR + art_sys_corr_57: + description: artificial systematic 57 + treatment: ADD + type: CORR + art_sys_corr_58: + description: artificial systematic 58 + treatment: ADD + type: CORR + art_sys_corr_59: + description: artificial systematic 59 + treatment: ADD + type: CORR + art_sys_corr_60: + description: artificial systematic 60 + treatment: ADD + type: CORR + art_sys_corr_61: + description: artificial systematic 61 + treatment: ADD + type: CORR + art_sys_corr_62: + description: artificial systematic 62 + treatment: ADD + type: CORR + art_sys_corr_63: + description: artificial systematic 63 + treatment: ADD + type: CORR + art_sys_corr_64: + description: artificial systematic 64 + treatment: ADD + type: CORR + art_sys_corr_65: + description: artificial systematic 65 + treatment: ADD + type: CORR + art_sys_corr_66: + description: artificial systematic 66 + treatment: ADD + type: CORR + art_sys_corr_67: + description: artificial systematic 67 + treatment: ADD + type: CORR + art_sys_corr_68: + description: artificial systematic 68 + treatment: ADD + type: CORR + art_sys_corr_69: + description: artificial systematic 69 + treatment: ADD + type: CORR + art_sys_corr_70: + description: artificial systematic 70 + treatment: ADD + type: CORR + art_sys_corr_71: + description: artificial systematic 71 + treatment: ADD + type: CORR + art_sys_corr_72: + description: artificial systematic 72 + treatment: ADD + type: CORR + art_sys_corr_73: + description: artificial systematic 73 + treatment: ADD + type: CORR + art_sys_corr_74: + description: artificial systematic 74 + treatment: ADD + type: CORR + art_sys_corr_75: + description: artificial systematic 75 + treatment: ADD + type: CORR + art_sys_corr_76: + description: artificial systematic 76 + treatment: ADD + type: CORR + art_sys_corr_77: + description: artificial systematic 77 + treatment: ADD + type: CORR + art_sys_corr_78: + description: artificial systematic 78 + treatment: ADD + type: CORR + art_sys_corr_79: + description: artificial systematic 79 + treatment: ADD + type: CORR + art_sys_corr_80: + description: artificial systematic 80 + treatment: ADD + type: CORR + art_sys_corr_81: + description: artificial systematic 81 + treatment: ADD + type: CORR + art_sys_corr_82: + description: artificial systematic 82 + treatment: ADD + type: CORR + art_sys_corr_83: + description: artificial systematic 83 + treatment: ADD + type: CORR + art_sys_corr_84: + description: artificial systematic 84 + treatment: ADD + type: CORR + art_sys_corr_85: + description: artificial systematic 85 + treatment: ADD + type: CORR + art_sys_corr_86: + description: artificial systematic 86 + treatment: ADD + type: CORR + art_sys_corr_87: + description: artificial systematic 87 + treatment: ADD + type: CORR + art_sys_corr_88: + description: artificial systematic 88 + treatment: ADD + type: CORR + art_sys_corr_89: + description: artificial systematic 89 + treatment: ADD + type: CORR + art_sys_corr_90: + description: artificial systematic 90 + treatment: ADD + type: CORR + art_sys_corr_91: + description: artificial systematic 91 + treatment: ADD + type: CORR + art_sys_corr_92: + description: artificial systematic 92 + treatment: ADD + type: CORR + art_sys_corr_93: + description: artificial systematic 93 + treatment: ADD + type: CORR + art_sys_corr_94: + description: artificial systematic 94 + treatment: ADD + type: CORR + art_sys_corr_95: + description: artificial systematic 95 + treatment: ADD + type: CORR + art_sys_corr_96: + description: artificial systematic 96 + treatment: ADD + type: CORR + art_sys_corr_97: + description: artificial systematic 97 + treatment: ADD + type: CORR + art_sys_corr_98: + description: artificial systematic 98 + treatment: ADD + type: CORR + art_sys_corr_99: + description: artificial systematic 99 + treatment: ADD + type: CORR + art_sys_corr_100: + description: artificial systematic 100 + treatment: ADD + type: CORR + art_sys_corr_101: + description: artificial systematic 101 + treatment: ADD + type: CORR + art_sys_corr_102: + description: artificial systematic 102 + treatment: ADD + type: CORR + art_sys_corr_103: + description: artificial systematic 103 + treatment: ADD + type: CORR + art_sys_corr_104: + description: artificial systematic 104 + treatment: ADD + type: CORR + art_sys_corr_105: + description: artificial systematic 105 + treatment: ADD + type: CORR + art_sys_corr_106: + description: artificial systematic 106 + treatment: ADD + type: CORR + art_sys_corr_107: + description: artificial systematic 107 + treatment: ADD + type: CORR + art_sys_corr_108: + description: artificial systematic 108 + treatment: ADD + type: CORR + art_sys_corr_109: + description: artificial systematic 109 + treatment: ADD + type: CORR + art_sys_corr_110: + description: artificial systematic 110 + treatment: ADD + type: CORR + art_sys_corr_111: + description: artificial systematic 111 + treatment: ADD + type: CORR + art_sys_corr_112: + description: artificial systematic 112 + treatment: ADD + type: CORR + art_sys_corr_113: + description: artificial systematic 113 + treatment: ADD + type: CORR + art_sys_corr_114: + description: artificial systematic 114 + treatment: ADD + type: CORR + art_sys_corr_115: + description: artificial systematic 115 + treatment: ADD + type: CORR + art_sys_corr_116: + description: artificial systematic 116 + treatment: ADD + type: CORR + art_sys_corr_117: + description: artificial systematic 117 + treatment: ADD + type: CORR + art_sys_corr_118: + description: artificial systematic 118 + treatment: ADD + type: CORR + art_sys_corr_119: + description: artificial systematic 119 + treatment: ADD + type: CORR + art_sys_corr_120: + description: artificial systematic 120 + treatment: ADD + type: CORR + art_sys_corr_121: + description: artificial systematic 121 + treatment: ADD + type: CORR + art_sys_corr_122: + description: artificial systematic 122 + treatment: ADD + type: CORR + art_sys_corr_123: + description: artificial systematic 123 + treatment: ADD + type: CORR + art_sys_corr_124: + description: artificial systematic 124 + treatment: ADD + type: CORR + art_sys_corr_125: + description: artificial systematic 125 + treatment: ADD + type: CORR + art_sys_corr_126: + description: artificial systematic 126 + treatment: ADD + type: CORR + art_sys_corr_127: + description: artificial systematic 127 + treatment: ADD + type: CORR + art_sys_corr_128: + description: artificial systematic 128 + treatment: ADD + type: CORR + art_sys_corr_129: + description: artificial systematic 129 + treatment: ADD + type: CORR + art_sys_corr_130: + description: artificial systematic 130 + treatment: ADD + type: CORR + art_sys_corr_131: + description: artificial systematic 131 + treatment: ADD + type: CORR + art_sys_corr_132: + description: artificial systematic 132 + treatment: ADD + type: CORR + art_sys_corr_133: + description: artificial systematic 133 + treatment: ADD + type: CORR + art_sys_corr_134: + description: artificial systematic 134 + treatment: ADD + type: CORR + art_sys_corr_135: + description: artificial systematic 135 + treatment: ADD + type: CORR + art_sys_corr_136: + description: artificial systematic 136 + treatment: ADD + type: CORR + art_sys_corr_137: + description: artificial systematic 137 + treatment: ADD + type: CORR + art_sys_corr_138: + description: artificial systematic 138 + treatment: ADD + type: CORR + art_sys_corr_139: + description: artificial systematic 139 + treatment: ADD + type: CORR + art_sys_corr_140: + description: artificial systematic 140 + treatment: ADD + type: CORR + art_sys_corr_141: + description: artificial systematic 141 + treatment: ADD + type: CORR + art_sys_corr_142: + description: artificial systematic 142 + treatment: ADD + type: CORR + art_sys_corr_143: + description: artificial systematic 143 + treatment: ADD + type: CORR + art_sys_corr_144: + description: artificial systematic 144 + treatment: ADD + type: CORR + art_sys_corr_145: + description: artificial systematic 145 + treatment: ADD + type: CORR + art_sys_corr_146: + description: artificial systematic 146 + treatment: ADD + type: CORR + art_sys_corr_147: + description: artificial systematic 147 + treatment: ADD + type: CORR + art_sys_corr_148: + description: artificial systematic 148 + treatment: ADD + type: CORR + art_sys_corr_149: + description: artificial systematic 149 + treatment: ADD + type: CORR + art_sys_corr_150: + description: artificial systematic 150 + treatment: ADD + type: CORR + art_sys_corr_151: + description: artificial systematic 151 + treatment: ADD + type: CORR + art_sys_corr_152: + description: artificial systematic 152 + treatment: ADD + type: CORR + art_sys_corr_153: + description: artificial systematic 153 + treatment: ADD + type: CORR + art_sys_corr_154: + description: artificial systematic 154 + treatment: ADD + type: CORR + art_sys_corr_155: + description: artificial systematic 155 + treatment: ADD + type: CORR + art_sys_corr_156: + description: artificial systematic 156 + treatment: ADD + type: CORR + art_sys_corr_157: + description: artificial systematic 157 + treatment: ADD + type: CORR + art_sys_corr_158: + description: artificial systematic 158 + treatment: ADD + type: CORR + art_sys_corr_159: + description: artificial systematic 159 + treatment: ADD + type: CORR + art_sys_corr_160: + description: artificial systematic 160 + treatment: ADD + type: CORR + art_sys_corr_161: + description: artificial systematic 161 + treatment: ADD + type: CORR + art_sys_corr_162: + description: artificial systematic 162 + treatment: ADD + type: CORR + art_sys_corr_163: + description: artificial systematic 163 + treatment: ADD + type: CORR + art_sys_corr_164: + description: artificial systematic 164 + treatment: ADD + type: CORR + art_sys_corr_165: + description: artificial systematic 165 + treatment: ADD + type: CORR + art_sys_corr_166: + description: artificial systematic 166 + treatment: ADD + type: CORR + art_sys_corr_167: + description: artificial systematic 167 + treatment: ADD + type: CORR + art_sys_corr_168: + description: artificial systematic 168 + treatment: ADD + type: CORR + art_sys_corr_169: + description: artificial systematic 169 + treatment: ADD + type: CORR + art_sys_corr_170: + description: artificial systematic 170 + treatment: ADD + type: CORR + art_sys_corr_171: + description: artificial systematic 171 + treatment: ADD + type: CORR + luminosity_uncertainty: + description: luminosity uncertainty + treatment: ADD + type: ATLASLUMI12 + statistical_uncertainty: + description: statistical uncertainty + treatment: ADD + type: CORR +bins: +- art_sys_corr_1: -3394.463154397592 + art_sys_corr_2: 524.1214325604792 + art_sys_corr_3: 248.69320675632386 + art_sys_corr_4: 44.568911810380655 + art_sys_corr_5: 72.00574684792991 + art_sys_corr_6: 84.6829000621657 + art_sys_corr_7: 17.241680144918707 + art_sys_corr_8: 3.569728946340419 + art_sys_corr_9: 1.482147060555943 + art_sys_corr_10: -9.36801922113799 + art_sys_corr_11: -1.4707452350735062 + art_sys_corr_12: -2.0163452521011425 + art_sys_corr_13: 1.5490524151980916 + art_sys_corr_14: 0.2548321984532006 + art_sys_corr_15: -0.6160035897526472 + art_sys_corr_16: 0.3951625657654943 + art_sys_corr_17: -0.06521864435705775 + art_sys_corr_18: 0.00040652435863709616 + art_sys_corr_19: 0.01022316324521055 + art_sys_corr_20: 0.12256151466564832 + art_sys_corr_21: -0.06434584459801033 + art_sys_corr_22: 0.009912731783590438 + art_sys_corr_23: -0.008430978048279292 + art_sys_corr_24: 0.004912469099934156 + art_sys_corr_25: 0.020013518407721767 + art_sys_corr_26: 0.0054576416845595385 + art_sys_corr_27: -0.004927520059918337 + art_sys_corr_28: 0.0013973425518073312 + art_sys_corr_29: 0.0016949439964147937 + art_sys_corr_30: -0.0019581158249122725 + art_sys_corr_31: 0.0022275986844250933 + art_sys_corr_32: -0.0005577400494973363 + art_sys_corr_33: 0.0006253521454554173 + art_sys_corr_34: -0.00014854494946494096 + art_sys_corr_35: 2.832278628313656e-05 + art_sys_corr_36: -8.682246222145075e-05 + art_sys_corr_37: -6.604728853817968e-05 + art_sys_corr_38: -4.506361431415412e-05 + art_sys_corr_39: -0.00015953010577604844 + art_sys_corr_40: 5.4558151146588126e-05 + art_sys_corr_41: 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art_sys_corr_157: -7.198302115142599e-10 + art_sys_corr_158: 3.017634495980188e-10 + art_sys_corr_159: 3.017634495980188e-10 + art_sys_corr_160: 3.4077034064239975e-10 + art_sys_corr_161: -2.713468231199462e-10 + art_sys_corr_162: 1.9169956882356413e-10 + art_sys_corr_163: -2.3598123047587626e-11 + art_sys_corr_164: 2.0944013057024397e-12 + art_sys_corr_165: 1.2473373685784818e-10 + art_sys_corr_166: -1.6131520308806467e-11 + art_sys_corr_167: 4.530120279590694e-13 + art_sys_corr_168: 2.5248038361063e-11 + art_sys_corr_169: 2.1479511716664793e-13 + art_sys_corr_170: 1.2353512839250379e-11 + art_sys_corr_171: -2.60671951627549e-11 + luminosity_uncertainty: 8.738e-07 + statistical_uncertainty: 9.478e-06 From 5b396d3018fbc27bc257a3612656251fb43eab85 Mon Sep 17 00:00:00 2001 From: Mark Nestor Costantini Date: Thu, 13 Apr 2023 14:58:59 +0100 Subject: [PATCH 28/40] added comment to filter func --- buildmaster/ATLAS_1JET_8TEV_R06/filter.py | 23 ++++++++++------------- 1 file changed, 10 insertions(+), 13 deletions(-) diff --git a/buildmaster/ATLAS_1JET_8TEV_R06/filter.py b/buildmaster/ATLAS_1JET_8TEV_R06/filter.py index de8f817df2..3c6884dfc2 100644 --- a/buildmaster/ATLAS_1JET_8TEV_R06/filter.py +++ b/buildmaster/ATLAS_1JET_8TEV_R06/filter.py @@ -1,10 +1,8 @@ import yaml import numpy as np import pandas as pd -from scipy.linalg import block_diag from filter_utils import ( get_data_values, get_kinematics, - get_stat_errors, get_lumi_errors, fill_df, decompose_covmat ) @@ -42,6 +40,7 @@ def filter_ATLAS_1JET_8TEV_data_kinetic(): with open('kinematics.yaml', 'w') as file: yaml.dump(kinematics_yaml, file, sort_keys=False) + def filter_ATLAS_1JET_8TEV_uncertainties(): """ write uncertainties to uncertainties.yaml @@ -62,12 +61,13 @@ def filter_ATLAS_1JET_8TEV_uncertainties(): - Construct covariance matrix from the Error matrix - - Decompose covariance matrix so as to get ndat unc + - Decompose covariance matrix so as to get ndat art unc 3. Luminosity Uncertainty: ATLASLUMI12 this uncertainty is correlated with all the other ATLASLUMI12 datasets """ + with open('metadata.yaml', 'r') as file: metadata = yaml.safe_load(file) @@ -86,14 +86,12 @@ def filter_ATLAS_1JET_8TEV_uncertainties(): # statistical errors fully uncorrelated stat_errors = df_unc['stat'].to_numpy() - # BD_stat = np.einsum('i,j->ij',dfs[0]['stat'],dfs[0]['stat']) - # for i in range(1,len(dfs)): - # cov = np.einsum('i,j->ij',dfs[i]['stat'].to_numpy(),dfs[i]['stat'].to_numpy()) - # BD_stat = block_diag(BD_stat,cov) - # luminosity errors lum_errors = df_unc["syst_lumi"].to_numpy() + # note: in the old implementation some sys are decorrelated. + # however the systype file used for the covmat construction is + # fully correlated (see difference between systype file in buildmaster and nnpdfcpp). # col_to_drop = ("syst_JES_EtaIntercalibration_Stat98", "syst_JES_MJB_Alpha", # "syst_JES_Pileup_MuOffset") @@ -105,7 +103,7 @@ def filter_ATLAS_1JET_8TEV_uncertainties(): cov_corr1 = np.einsum("ij,kj->ik",A_art_corr,A_art_corr) print(f"same cov_corr mat? :{np.allclose(cov_corr,cov_corr1)}") - # error definition + # error definition error_definition = {f"art_sys_corr_{i}" : {"description": f"artificial systematic {i}", "treatment": "ADD", "type": "CORR"} for i in range(1,A_art_corr.shape[0]+1)} @@ -129,19 +127,18 @@ def filter_ATLAS_1JET_8TEV_uncertainties(): uncertainties_yaml = {"definition": error_definition, "bins": error} + # write uncertainties to file with open(f"uncertainties.yaml",'w') as file: yaml.dump(uncertainties_yaml,file, sort_keys=False) - + # code below is only needed for testing and can be removed at some point cov_lum = np.einsum("i,j->ij",lum_errors,lum_errors) cov_stat = np.diag(stat_errors**2) - - covmat = cov_corr + cov_stat + cov_lum covmat1 = cov_corr1 + cov_stat + cov_lum print(f"same covmat ?: {np.allclose(covmat,covmat1)}") - return np.real(covmat1) + return np.real(covmat) From a72f2bbd814b996fdc815103dc82ec5779e9ae1c Mon Sep 17 00:00:00 2001 From: Mark Nestor Costantini Date: Thu, 13 Apr 2023 16:24:06 +0100 Subject: [PATCH 29/40] added comment --- buildmaster/CMS_2JET_7TEV/metadata.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/buildmaster/CMS_2JET_7TEV/metadata.yaml b/buildmaster/CMS_2JET_7TEV/metadata.yaml index 20d3f352f1..b477146d36 100644 --- a/buildmaster/CMS_2JET_7TEV/metadata.yaml +++ b/buildmaster/CMS_2JET_7TEV/metadata.yaml @@ -1,4 +1,4 @@ -# Generalia +# Created on Mar 2023, author: Mark N. Costantini setname: "CMS_2JET_7TEV" ndata: 54 From 07f11147b82fca39223c9b25c5ceed15340f673d Mon Sep 17 00:00:00 2001 From: Mark Nestor Costantini Date: Thu, 13 Apr 2023 16:35:00 +0100 Subject: [PATCH 30/40] added CMS_1JET_8TEV metadata file --- buildmaster/CMS_1JET_8TEV/metadata.yaml | 52 + .../rawdata/CMS_8TeV_jets_Ybin1.dat | 89 ++ ..._8TeV_jets_Ybin1___CMS_8TeV_jets_Ybin1.dat | 1386 +++++++++++++++++ .../rawdata/CMS_8TeV_jets_Ybin2.dat | 89 ++ ..._8TeV_jets_Ybin2___CMS_8TeV_jets_Ybin2.dat | 1386 +++++++++++++++++ .../rawdata/CMS_8TeV_jets_Ybin3.dat | 88 ++ ..._8TeV_jets_Ybin3___CMS_8TeV_jets_Ybin3.dat | 1313 ++++++++++++++++ .../rawdata/CMS_8TeV_jets_Ybin4.dat | 85 + ..._8TeV_jets_Ybin4___CMS_8TeV_jets_Ybin4.dat | 1041 +++++++++++++ .../rawdata/CMS_8TeV_jets_Ybin5.dat | 77 + ..._8TeV_jets_Ybin5___CMS_8TeV_jets_Ybin5.dat | 642 ++++++++ .../rawdata/CMS_8TeV_jets_Ybin6.dat | 71 + ..._8TeV_jets_Ybin6___CMS_8TeV_jets_Ybin6.dat | 341 ++++ .../CMS_1JET_8TEV/rawdata/npcorr_Ybin1.dat | 47 + .../CMS_1JET_8TEV/rawdata/npcorr_Ybin2.dat | 47 + .../CMS_1JET_8TEV/rawdata/npcorr_Ybin3.dat | 46 + .../CMS_1JET_8TEV/rawdata/npcorr_Ybin4.dat | 42 + .../CMS_1JET_8TEV/rawdata/npcorr_Ybin5.dat | 36 + .../CMS_1JET_8TEV/rawdata/npcorr_Ybin6.dat | 29 + 19 files changed, 6907 insertions(+) create mode 100644 buildmaster/CMS_1JET_8TEV/metadata.yaml create mode 100644 buildmaster/CMS_1JET_8TEV/rawdata/CMS_8TeV_jets_Ybin1.dat create mode 100644 buildmaster/CMS_1JET_8TEV/rawdata/CMS_8TeV_jets_Ybin1___CMS_8TeV_jets_Ybin1.dat create mode 100644 buildmaster/CMS_1JET_8TEV/rawdata/CMS_8TeV_jets_Ybin2.dat create mode 100644 buildmaster/CMS_1JET_8TEV/rawdata/CMS_8TeV_jets_Ybin2___CMS_8TeV_jets_Ybin2.dat create mode 100644 buildmaster/CMS_1JET_8TEV/rawdata/CMS_8TeV_jets_Ybin3.dat create mode 100644 buildmaster/CMS_1JET_8TEV/rawdata/CMS_8TeV_jets_Ybin3___CMS_8TeV_jets_Ybin3.dat create mode 100644 buildmaster/CMS_1JET_8TEV/rawdata/CMS_8TeV_jets_Ybin4.dat create mode 100644 buildmaster/CMS_1JET_8TEV/rawdata/CMS_8TeV_jets_Ybin4___CMS_8TeV_jets_Ybin4.dat create mode 100644 buildmaster/CMS_1JET_8TEV/rawdata/CMS_8TeV_jets_Ybin5.dat create mode 100644 buildmaster/CMS_1JET_8TEV/rawdata/CMS_8TeV_jets_Ybin5___CMS_8TeV_jets_Ybin5.dat create mode 100644 buildmaster/CMS_1JET_8TEV/rawdata/CMS_8TeV_jets_Ybin6.dat create mode 100644 buildmaster/CMS_1JET_8TEV/rawdata/CMS_8TeV_jets_Ybin6___CMS_8TeV_jets_Ybin6.dat create mode 100644 buildmaster/CMS_1JET_8TEV/rawdata/npcorr_Ybin1.dat create mode 100644 buildmaster/CMS_1JET_8TEV/rawdata/npcorr_Ybin2.dat create mode 100644 buildmaster/CMS_1JET_8TEV/rawdata/npcorr_Ybin3.dat create mode 100644 buildmaster/CMS_1JET_8TEV/rawdata/npcorr_Ybin4.dat create mode 100644 buildmaster/CMS_1JET_8TEV/rawdata/npcorr_Ybin5.dat create mode 100644 buildmaster/CMS_1JET_8TEV/rawdata/npcorr_Ybin6.dat diff --git a/buildmaster/CMS_1JET_8TEV/metadata.yaml b/buildmaster/CMS_1JET_8TEV/metadata.yaml new file mode 100644 index 0000000000..7d8edf059c --- /dev/null +++ b/buildmaster/CMS_1JET_8TEV/metadata.yaml @@ -0,0 +1,52 @@ +# Created on Apr 2023, author: Mark N. Costantini + + setname: "CMS_1JET_8TEV" + ndata: 239 + observable: + description: "Double-differential inclusive jet cross-section as function of jet transverse momentum and the absolute jet rapidity." + label: r"$10^{3*qbin} d^2\sigma/dp_Tdy$" + units: "[pb/GeV]" + + kinematics: + variables: + y: {description: "jet rapidity", label: "$|y|$", units: ""} + kt: {description: "jet transverse momentum", label: "$k_{T}$", units: ""} + sqrt_s: {description: "center of mass energy", label: r"$\sqrt(s)$", units: "GeV"} + file: kinematics.yaml + + version: 0 + version_comment: "Initial implementation" + + # References + arXiv: + url: "https://arxiv.org/pdf/1609.05331.pdf" + iNSPIRE: + url: "https://inspirehep.net/literature/1487277" + hepdata: + url: "https://www.hepdata.net/record/ins1487277" + version: 1 + tables: [1,2,3,4,5,6] + + # Data + data_central: data.yaml + data_uncertainties: + - uncertainties.yaml + + # Plotting + kinematic_coverage: + ydiff: y + m12: kt + dataset_label: "CMS jets 8 TeV" + plot_x: kt + figure_by: + - y + + # Theory + theory: + FK_tables: + - CMS_1JET_8TEV + + + nnpdf_metadata: + nnpdf31_process: "JETS" + experiment: "CMS" \ No newline at end of file diff --git a/buildmaster/CMS_1JET_8TEV/rawdata/CMS_8TeV_jets_Ybin1.dat b/buildmaster/CMS_1JET_8TEV/rawdata/CMS_8TeV_jets_Ybin1.dat new file mode 100644 index 0000000000..a985478f77 --- /dev/null +++ b/buildmaster/CMS_1JET_8TEV/rawdata/CMS_8TeV_jets_Ybin1.dat @@ -0,0 +1,89 @@ +! CMS 8 TeV jets, 19.71 fb-1 +! Data correspond to CMS Paper SMP-12-012 +! +! Separate data and theory files for each Y bin +! Central values and covariance matrices for each +! uncertainty source (including statistical +! correlations) are provided separately. +! +! Provided by Sanmay Ganguly on 30.03.15 +! Asymm uncertainties are given by Sanmay on 22.04.15 +! RelativeStatFSR is given by Sanmay on 02.06.15 +! New NP corrections and uncertainties are given by Salim on 06.06.15 +&Data + Name = 'CMS inclusive jets 8 TeV, 0.0 < |y| < 0.5' + Reaction = 'pp jets fastNLO' + + NDATA = 47 + NColumn = 63 + ColumnType = 'Flag', 'Bin', 'Bin', 'Bin', 'Bin', 'Sigma', 'Dummy', 'Error', 'Error', 'Error', 52*'Error', 'Error' + ColumnName = 'binFlag', 'ylow', 'yhigh', 'ptlow', 'pthigh', 'Sigma', 'NPCorr', 'npcorerr+', 'npcorerr-', 'ignore', 'Unfolding+', 'Unfolding-', 'AbsoluteStat+', 'AbsoluteStat-', 'AbsoluteScale+', 'AbsoluteScale-', 'AbsoluteMPFBias+', 'AbsoluteMPFBias-', 'Fragmentation+', 'Fragmentation-', 'SinglePionECAL+', 'SinglePionECAL-', 'SinglePionHCAL+', 'SinglePionHCAL-', 'FlavorQCD+', 'FlavorQCD-', 'RelativeJEREC1+', 'RelativeJEREC1-', 'RelativeJEREC2+', 'RelativeJEREC2-', 'RelativeJERHF+', 'RelativeJERHF-', 'RelativePtBB+', 'RelativePtBB-', 'RelativePtEC1+', 'RelativePtEC1-', 'RelativePtEC2+', 'RelativePtEC2-', 'RelativePtHF+', 'RelativePtHF-', 'RelativeFSR+', 'RelativeFSR-', 'RelativeStatEC2+', 'RelativeStatEC2-', 'RelativeStatHF+', 'RelativeStatHF-', 'PileUpDataMC+', 'PileUpDataMC-', 'PileUpPtRef+', 'PileUpPtRef-', 'PileUpPtBB+', 'PileUpPtBB-', 'PileUpPtEC1+', 'PileUpPtEC1-', 'PileUpPtEC2+', 'PileUpPtEC2-', 'PileUpPtHF+', 'PileUpPtHF-','RelativeStatFSR+','RelativeStatFSR-', 'Luminosity', 'stat', 'uncor' + NInfo = 4 + DataInfo = 8000., 1., -1., -1. + CInfo = 'sqrt(S)', 'PublicationUnits', 'MurDef', 'MufDef' + + IndexDataset = 202 +! TheoryInfoFile = 'datafiles/lhc/cms/jets/8TeV/fnl3332y0.tab' + TheoryType = 'expression' + TermName = 'F','K' + TermType = 'fastnlo','kfactor' + TheorExpr = 'K*F' + TermSource = 'datafiles/lhc/cms/jets/1609.05331/fnl3332y0.tab','datafiles/lhc/cms/jets/1609.05331/npcorr_Ybin1.dat' + Percent = True, True, False, 52*True, True +&End +&PlotDesc + PlotN = 1 + PlotDefColumn = 'ylow' + PlotDefValue = -0.25, 0.25 + PlotVarColumn = 'ptlow' + PlotOptions(1) = 'Title:CMS 8 TeV inclusive jets@XTitle:p_{T}^{jet} (GeV)@YTitle:d#sigma/dp_{T}^{jet} (pb/GeV)@Xmin:66.6@Xmax:2750@Ymin:6.50618e-07@Ymax:41289.2@YminR:0.5@YmaxR:1.5@Xlog@Ylog' +&End +* Flag ylow yhigh ptlow pthigh cross_sec npcorr npcorr_e+ npcorr_e- stat_abs Unfolding+ Unfoldingm AbsStat+ AbsStat- AbsScale+ AbsScale- AbsMPFB+ AbsMPFB- Fragm+ Fragm- SiPionE+ SiPionE- SiPionH+ SiPionH- FlavorQCD+ FlavorQCD- RelJEREC1+ RelJEREC1- RelJEREC2+ RelJEREC2- RelJERHF+ RelJERHF- RelPtBB+ RelPtBB- RelPtEC1+ RelPtEC1- RelPtEC2+ RelPtEC2- RelPtHF+ RelPtHF- RelFSR+ RelFSR- RelStaEC2+ RelStaEC2- RelStaHF+ RelStaHF- PU_DataMC+ PU_DataMC- PU_PtRef+ PU_PtRef- PU_PtBB+ PU_PtBB- PU_PtEC1+ PU_PtEC1- PU_PtEC2+ PU_PtEC2- PU_PtHF+ PU_PtHF- RelStaFSR+ RelStaFSR- lumi stat uncor +0 0.0 0.5 18 21 37535.6 1.175 0.8044 -0.8044 218.8 3.689 -3.635 -0.008941 0.02903 0.4648 -0.3882 1.21 -1.136 0.2483 -0.2386 -0.03448 0.03901 -0.04313 0.06565 4.253 -4.149 0.0001669 0.0001669 0 0 0.0001669 0.0001669 0.3709 -0.4178 0.0001669 0.0001669 0 0 0.0001669 0.0001669 -0.08679 0.03364 0 0 0.0001669 0.0001669 0.001359 -0.001365 -0.009167 0.0007033 -0.01235 0.0355 0 0 0 0 0 0 999 -999 2.6 0.582923 1 +0 0.0 0.5 21 24 37535.6 1.175 0.8044 -0.8044 218.8 3.689 -3.635 -0.008941 0.02903 0.4648 -0.3882 1.21 -1.136 0.2483 -0.2386 -0.03448 0.03901 -0.04313 0.06565 4.253 -4.149 0.0001669 0.0001669 0 0 0.0001669 0.0001669 0.3709 -0.4178 0.0001669 0.0001669 0 0 0.0001669 0.0001669 -0.08679 0.03364 0 0 0.0001669 0.0001669 0.001359 -0.001365 -0.009167 0.0007033 -0.01235 0.0355 0 0 0 0 0 0 999 -999 2.6 0.582923 1 +0 0.0 0.5 24 28 37535.6 1.175 0.8044 -0.8044 218.8 3.689 -3.635 -0.008941 0.02903 0.4648 -0.3882 1.21 -1.136 0.2483 -0.2386 -0.03448 0.03901 -0.04313 0.06565 4.253 -4.149 0.0001669 0.0001669 0 0 0.0001669 0.0001669 0.3709 -0.4178 0.0001669 0.0001669 0 0 0.0001669 0.0001669 -0.08679 0.03364 0 0 0.0001669 0.0001669 0.001359 -0.001365 -0.009167 0.0007033 -0.01235 0.0355 0 0 0 0 0 0 999 -999 2.6 0.582923 1 +0 0.0 0.5 28 32 37535.6 1.175 0.8044 -0.8044 218.8 3.689 -3.635 -0.008941 0.02903 0.4648 -0.3882 1.21 -1.136 0.2483 -0.2386 -0.03448 0.03901 -0.04313 0.06565 4.253 -4.149 0.0001669 0.0001669 0 0 0.0001669 0.0001669 0.3709 -0.4178 0.0001669 0.0001669 0 0 0.0001669 0.0001669 -0.08679 0.03364 0 0 0.0001669 0.0001669 0.001359 -0.001365 -0.009167 0.0007033 -0.01235 0.0355 0 0 0 0 0 0 999 -999 2.6 0.582923 1 +0 0.0 0.5 32 37 37535.6 1.175 0.8044 -0.8044 218.8 3.689 -3.635 -0.008941 0.02903 0.4648 -0.3882 1.21 -1.136 0.2483 -0.2386 -0.03448 0.03901 -0.04313 0.06565 4.253 -4.149 0.0001669 0.0001669 0 0 0.0001669 0.0001669 0.3709 -0.4178 0.0001669 0.0001669 0 0 0.0001669 0.0001669 -0.08679 0.03364 0 0 0.0001669 0.0001669 0.001359 -0.001365 -0.009167 0.0007033 -0.01235 0.0355 0 0 0 0 0 0 999 -999 2.6 0.582923 1 +0 0.0 0.5 37 43 37535.6 1.175 0.8044 -0.8044 218.8 3.689 -3.635 -0.008941 0.02903 0.4648 -0.3882 1.21 -1.136 0.2483 -0.2386 -0.03448 0.03901 -0.04313 0.06565 4.253 -4.149 0.0001669 0.0001669 0 0 0.0001669 0.0001669 0.3709 -0.4178 0.0001669 0.0001669 0 0 0.0001669 0.0001669 -0.08679 0.03364 0 0 0.0001669 0.0001669 0.001359 -0.001365 -0.009167 0.0007033 -0.01235 0.0355 0 0 0 0 0 0 999 -999 2.6 0.582923 1 +0 0.0 0.5 43 49 37535.6 1.175 0.8044 -0.8044 218.8 3.689 -3.635 -0.008941 0.02903 0.4648 -0.3882 1.21 -1.136 0.2483 -0.2386 -0.03448 0.03901 -0.04313 0.06565 4.253 -4.149 0.0001669 0.0001669 0 0 0.0001669 0.0001669 0.3709 -0.4178 0.0001669 0.0001669 0 0 0.0001669 0.0001669 -0.08679 0.03364 0 0 0.0001669 0.0001669 0.001359 -0.001365 -0.009167 0.0007033 -0.01235 0.0355 0 0 0 0 0 0 999 -999 2.6 0.582923 1 +0 0.0 0.5 49 56 37535.6 1.175 0.8044 -0.8044 218.8 3.689 -3.635 -0.008941 0.02903 0.4648 -0.3882 1.21 -1.136 0.2483 -0.2386 -0.03448 0.03901 -0.04313 0.06565 4.253 -4.149 0.0001669 0.0001669 0 0 0.0001669 0.0001669 0.3709 -0.4178 0.0001669 0.0001669 0 0 0.0001669 0.0001669 -0.08679 0.03364 0 0 0.0001669 0.0001669 0.001359 -0.001365 -0.009167 0.0007033 -0.01235 0.0355 0 0 0 0 0 0 999 -999 2.6 0.582923 1 +0 0.0 0.5 56 64 37535.6 1.175 0.8044 -0.8044 218.8 3.689 -3.635 -0.008941 0.02903 0.4648 -0.3882 1.21 -1.136 0.2483 -0.2386 -0.03448 0.03901 -0.04313 0.06565 4.253 -4.149 0.0001669 0.0001669 0 0 0.0001669 0.0001669 0.3709 -0.4178 0.0001669 0.0001669 0 0 0.0001669 0.0001669 -0.08679 0.03364 0 0 0.0001669 0.0001669 0.001359 -0.001365 -0.009167 0.0007033 -0.01235 0.0355 0 0 0 0 0 0 999 -999 2.6 0.582923 1 +0 0.0 0.5 64 74 37535.6 1.175 0.8044 -0.8044 218.8 3.689 -3.635 -0.008941 0.02903 0.4648 -0.3882 1.21 -1.136 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-0.9361 0.8876 0.8851 -0.94 2.368 -2.51 -1.149 0.867 -0.0002921 -0.0002921 0 0 -0.0002921 -0.0002921 -0.4683 0.604 -0.0002921 -0.0002921 0 0 -0.0002921 -0.0002921 -0.1857 0.3158 0 0 -0.0002921 -0.0002921 0.02147 -0.02163 -0.1482 0.3932 -3.575 2.972 0 0 0 0 0 0 0.1486 -0.2527 2.6 6.23109 1 +1 0.0 0.5 1588 1784 7.20384e-05 1.105 0.4488 -0.4488 4.876e-06 0.5735 -0.589 0.9209 -0.9862 1.012 -1.225 2.561 -2.674 -1.047 0.9929 1.014 -1.079 2.684 -2.858 -1.356 1.038 -0.0003338 -0.0003338 0 0 -0.0003338 -0.0003338 -0.5468 0.6996 -0.0003338 -0.0003338 0 0 -0.0003338 -0.0003338 -0.195 0.3422 0 0 -0.0003338 -0.0003338 0.02333 -0.0235 -0.161 0.4751 -4.236 3.394 0 0 0 0 0 0 0.156 -0.2738 2.6 6.76889 1 +1 0.0 0.5 1784 2116 1.50941e-05 1.126 0.4366 -0.4366 1.71e-06 0.7098 -0.7636 1.066 -1.145 1.097 -1.356 2.773 -2.914 -1.249 1.185 1.261 -1.344 3.286 -3.519 -1.702 1.321 -0.0004113 -0.0004113 0 0 -0.0004113 -0.0004113 -0.6903 0.8744 -0.0004113 -0.0004113 0 0 -0.0004113 -0.0004113 -0.2119 0.3905 0 0 -0.0004113 -0.0004113 0.0267 -0.02689 -0.1845 0.6474 -5.591 4.215 0 0 0 0 0 0 0.1695 -0.3124 2.6 11.3302 1 +1 0.0 0.5 2116 2500 7.22909e-07 1.157 0.4212 -0.4212 3.417e-07 0.9206 -1.052 1.262 -1.358 1.212 -1.532 3.057 -3.237 -1.522 1.444 1.612 -1.721 4.136 -4.456 -2.112 1.653 -0.0005186 -0.0005186 0 0 -0.0005186 -0.0005186 -0.8834 1.109 -0.0005186 -0.0005186 0 0 -0.0005186 -0.0005186 -0.2347 0.4554 0 0 -0.0005186 -0.0005186 0.03123 -0.03146 -0.2161 0.9266 -7.711 5.418 0 0 0 0 0 0 0.1877 -0.3643 2.6 47.2709 1 +0 0.0 0.5 2500 3000 7.22909e-07 1.157 0.4212 -0.4212 3.417e-07 0.9206 -1.052 1.262 -1.358 1.212 -1.532 3.057 -3.237 -1.522 1.444 1.612 -1.721 4.136 -4.456 -2.112 1.653 -0.0005186 -0.0005186 0 0 -0.0005186 -0.0005186 -0.8834 1.109 -0.0005186 -0.0005186 0 0 -0.0005186 -0.0005186 -0.2347 0.4554 0 0 -0.0005186 -0.0005186 0.03123 -0.03146 -0.2161 0.9266 -7.711 5.418 0 0 0 0 0 0 0.1877 -0.3643 2.6 47.2709 1 diff --git a/buildmaster/CMS_1JET_8TEV/rawdata/CMS_8TeV_jets_Ybin1___CMS_8TeV_jets_Ybin1.dat b/buildmaster/CMS_1JET_8TEV/rawdata/CMS_8TeV_jets_Ybin1___CMS_8TeV_jets_Ybin1.dat new file mode 100644 index 0000000000..bb0a6619f2 --- /dev/null +++ b/buildmaster/CMS_1JET_8TEV/rawdata/CMS_8TeV_jets_Ybin1___CMS_8TeV_jets_Ybin1.dat @@ -0,0 +1,1386 @@ +! +! Statistical correlation matrix for rapidity bin 0.0 < |y| < 0.5 +! +&StatCorr + Name1 = 'CMS inclusive jets 8 TeV, 0.0 < |y| < 0.5' + Name2 = 'CMS inclusive jets 8 TeV, 0.0 < |y| < 0.5' + + NIdColumns1 = 2 + NIdColumns2 = 2 + + IdColumns1 = 'ylow', 'ptlow' + IdColumns2 = 'ylow', 'ptlow' + + NCorr = 1296 + + MatrixType = 'Statistical correlations' +&End + 0.0 74 0.0 74 1 + 0.0 74 0.0 84 0.6469 + 0.0 74 0.0 97 -0.05029 + 0.0 74 0.0 114 -0.2403 + 0.0 74 0.0 133 -0.06301 + 0.0 74 0.0 153 0.1191 + 0.0 74 0.0 174 0.02948 + 0.0 74 0.0 196 -0.008309 + 0.0 74 0.0 220 -0.0174 + 0.0 74 0.0 245 -0.003266 + 0.0 74 0.0 272 0.0001295 + 0.0 74 0.0 300 0.0004327 + 0.0 74 0.0 330 0.0001116 + 0.0 74 0.0 362 1.804e-05 + 0.0 74 0.0 395 3.42e-06 + 0.0 74 0.0 430 2.639e-07 + 0.0 74 0.0 468 2.088e-08 + 0.0 74 0.0 507 9.886e-09 + 0.0 74 0.0 548 1.982e-09 + 0.0 74 0.0 592 3.63e-10 + 0.0 74 0.0 638 4.493e-11 + 0.0 74 0.0 686 4.588e-12 + 0.0 74 0.0 737 3.848e-13 + 0.0 74 0.0 790 2.957e-14 + 0.0 74 0.0 846 1.868e-15 + 0.0 74 0.0 905 1.036e-16 + 0.0 74 0.0 967 5.35e-18 + 0.0 74 0.0 1032 2.384e-19 + 0.0 74 0.0 1101 8.638e-21 + 0.0 74 0.0 1172 3.059e-22 + 0.0 74 0.0 1248 8.677e-24 + 0.0 74 0.0 1327 2.498e-25 + 0.0 74 0.0 1410 5.337e-27 + 0.0 74 0.0 1497 8.449e-29 + 0.0 74 0.0 1588 3.378e-31 + 0.0 74 0.0 1784 9.757e-36 +* 0.0 74 0.0 2116 8.002e-41 + 0.0 84 0.0 74 0.6469 + 0.0 84 0.0 84 1 + 0.0 84 0.0 97 0.5506 + 0.0 84 0.0 114 -0.1776 + 0.0 84 0.0 133 -0.4349 + 0.0 84 0.0 153 0.06207 + 0.0 84 0.0 174 0.06611 + 0.0 84 0.0 196 0.008082 + 0.0 84 0.0 220 -0.01397 + 0.0 84 0.0 245 -0.00662 + 0.0 84 0.0 272 -0.001557 + 0.0 84 0.0 300 -0.0002418 + 0.0 84 0.0 330 9.929e-06 + 0.0 84 0.0 362 2.056e-06 + 0.0 84 0.0 395 -1.881e-06 + 0.0 84 0.0 430 -7.847e-07 + 0.0 84 0.0 468 -1.587e-07 + 0.0 84 0.0 507 -6.279e-08 + 0.0 84 0.0 548 -4.833e-09 + 0.0 84 0.0 592 -1.515e-11 + 0.0 84 0.0 638 6.023e-11 + 0.0 84 0.0 686 1.035e-11 + 0.0 84 0.0 737 1.129e-12 + 0.0 84 0.0 790 1.018e-13 + 0.0 84 0.0 846 7.358e-15 + 0.0 84 0.0 905 4.581e-16 + 0.0 84 0.0 967 2.588e-17 + 0.0 84 0.0 1032 1.248e-18 + 0.0 84 0.0 1101 4.891e-20 + 0.0 84 0.0 1172 1.86e-21 + 0.0 84 0.0 1248 5.674e-23 + 0.0 84 0.0 1327 1.732e-24 + 0.0 84 0.0 1410 3.93e-26 + 0.0 84 0.0 1497 6.541e-28 + 0.0 84 0.0 1588 2.739e-30 + 0.0 84 0.0 1784 9.027e-35 +* 0.0 84 0.0 2116 1.005e-39 + 0.0 97 0.0 74 -0.05029 + 0.0 97 0.0 84 0.5506 + 0.0 97 0.0 97 1 + 0.0 97 0.0 114 0.5248 + 0.0 97 0.0 133 -0.373 + 0.0 97 0.0 153 -0.3429 + 0.0 97 0.0 174 0.02167 + 0.0 97 0.0 196 0.05823 + 0.0 97 0.0 220 0.04174 + 0.0 97 0.0 245 -0.006769 + 0.0 97 0.0 272 -0.007564 + 0.0 97 0.0 300 -0.004185 + 0.0 97 0.0 330 -0.0007937 + 0.0 97 0.0 362 -0.0001302 + 0.0 97 0.0 395 -3.564e-05 + 0.0 97 0.0 430 -5.725e-06 + 0.0 97 0.0 468 -8.937e-07 + 0.0 97 0.0 507 -3.56e-07 + 0.0 97 0.0 548 -3.351e-08 + 0.0 97 0.0 592 -1.715e-09 + 0.0 97 0.0 638 1.37e-10 + 0.0 97 0.0 686 4.181e-11 + 0.0 97 0.0 737 5.657e-12 + 0.0 97 0.0 790 5.94e-13 + 0.0 97 0.0 846 4.95e-14 + 0.0 97 0.0 905 3.513e-15 + 0.0 97 0.0 967 2.215e-16 + 0.0 97 0.0 1032 1.186e-17 + 0.0 97 0.0 1101 5.188e-19 + 0.0 97 0.0 1172 2.191e-20 + 0.0 97 0.0 1248 7.431e-22 + 0.0 97 0.0 1327 2.465e-23 + 0.0 97 0.0 1410 6.091e-25 + 0.0 97 0.0 1497 1.096e-26 + 0.0 97 0.0 1588 5.016e-29 + 0.0 97 0.0 1784 2.305e-33 +* 0.0 97 0.0 2116 4.745e-38 + 0.0 114 0.0 74 -0.2403 + 0.0 114 0.0 84 -0.1776 + 0.0 114 0.0 97 0.5248 + 0.0 114 0.0 114 1 + 0.0 114 0.0 133 0.2931 + 0.0 114 0.0 153 -0.6064 + 0.0 114 0.0 174 -0.09805 + 0.0 114 0.0 196 0.07594 + 0.0 114 0.0 220 0.09814 + 0.0 114 0.0 245 0.000609 + 0.0 114 0.0 272 -0.01102 + 0.0 114 0.0 300 -0.007215 + 0.0 114 0.0 330 -0.001345 + 0.0 114 0.0 362 -0.0001741 + 0.0 114 0.0 395 -2.968e-05 + 0.0 114 0.0 430 -3.551e-06 + 0.0 114 0.0 468 -7.03e-07 + 0.0 114 0.0 507 -3.83e-07 + 0.0 114 0.0 548 -4.252e-08 + 0.0 114 0.0 592 -6.944e-10 + 0.0 114 0.0 638 8.739e-10 + 0.0 114 0.0 686 2.14e-10 + 0.0 114 0.0 737 3.238e-11 + 0.0 114 0.0 790 3.935e-12 + 0.0 114 0.0 846 3.804e-13 + 0.0 114 0.0 905 3.095e-14 + 0.0 114 0.0 967 2.195e-15 + 0.0 114 0.0 1032 1.318e-16 + 0.0 114 0.0 1101 6.495e-18 + 0.0 114 0.0 1172 3.056e-19 + 0.0 114 0.0 1248 1.146e-20 + 0.0 114 0.0 1327 4.103e-22 + 0.0 114 0.0 1410 1.098e-23 + 0.0 114 0.0 1497 2.149e-25 + 0.0 114 0.0 1588 1.104e-27 + 0.0 114 0.0 1784 7.717e-32 +* 0.0 114 0.0 2116 2.717e-36 + 0.0 133 0.0 74 -0.06301 + 0.0 133 0.0 84 -0.4349 + 0.0 133 0.0 97 -0.373 + 0.0 133 0.0 114 0.2931 + 0.0 133 0.0 133 1 + 0.0 133 0.0 153 0.1049 + 0.0 133 0.0 174 -0.2576 + 0.0 133 0.0 196 -0.1013 + 0.0 133 0.0 220 0.1012 + 0.0 133 0.0 245 0.06541 + 0.0 133 0.0 272 0.0003745 + 0.0 133 0.0 300 -0.01509 + 0.0 133 0.0 330 -0.004172 + 0.0 133 0.0 362 -0.0001491 + 0.0 133 0.0 395 0.0003914 + 0.0 133 0.0 430 0.0001379 + 0.0 133 0.0 468 2.743e-05 + 0.0 133 0.0 507 1.137e-05 + 0.0 133 0.0 548 1.108e-06 + 0.0 133 0.0 592 1.043e-07 + 0.0 133 0.0 638 1.422e-08 + 0.0 133 0.0 686 2.99e-09 + 0.0 133 0.0 737 5.383e-10 + 0.0 133 0.0 790 7.849e-11 + 0.0 133 0.0 846 8.935e-12 + 0.0 133 0.0 905 8.404e-13 + 0.0 133 0.0 967 6.772e-14 + 0.0 133 0.0 1032 4.606e-15 + 0.0 133 0.0 1101 2.566e-16 + 0.0 133 0.0 1172 1.341e-17 + 0.0 133 0.0 1248 5.525e-19 + 0.0 133 0.0 1327 2.132e-20 + 0.0 133 0.0 1410 6.265e-22 + 0.0 133 0.0 1497 1.388e-23 + 0.0 133 0.0 1588 8.684e-26 + 0.0 133 0.0 1784 1.061e-29 +* 0.0 133 0.0 2116 6.362e-34 + 0.0 153 0.0 74 0.1191 + 0.0 153 0.0 84 0.06207 + 0.0 153 0.0 97 -0.3429 + 0.0 153 0.0 114 -0.6064 + 0.0 153 0.0 133 0.1049 + 0.0 153 0.0 153 1 + 0.0 153 0.0 174 0.334 + 0.0 153 0.0 196 -0.2494 + 0.0 153 0.0 220 -0.3271 + 0.0 153 0.0 245 0.09578 + 0.0 153 0.0 272 0.06119 + 0.0 153 0.0 300 0.001685 + 0.0 153 0.0 330 -0.008832 + 0.0 153 0.0 362 -0.002469 + 0.0 153 0.0 395 -0.0002634 + 0.0 153 0.0 430 0.0001278 + 0.0 153 0.0 468 4.248e-05 + 0.0 153 0.0 507 1.953e-05 + 0.0 153 0.0 548 1.344e-06 + 0.0 153 0.0 592 -3.674e-08 + 0.0 153 0.0 638 -2.155e-09 + 0.0 153 0.0 686 5.758e-09 + 0.0 153 0.0 737 1.832e-09 + 0.0 153 0.0 790 3.474e-10 + 0.0 153 0.0 846 4.791e-11 + 0.0 153 0.0 905 5.3e-12 + 0.0 153 0.0 967 4.91e-13 + 0.0 153 0.0 1032 3.795e-14 + 0.0 153 0.0 1101 2.375e-15 + 0.0 153 0.0 1172 1.363e-16 + 0.0 153 0.0 1248 6.125e-18 + 0.0 153 0.0 1327 2.562e-19 + 0.0 153 0.0 1410 8.466e-21 + 0.0 153 0.0 1497 2.218e-22 + 0.0 153 0.0 1588 1.759e-24 + 0.0 153 0.0 1784 3.34e-28 +* 0.0 153 0.0 2116 2.813e-32 + 0.0 174 0.0 74 0.02948 + 0.0 174 0.0 84 0.06611 + 0.0 174 0.0 97 0.02167 + 0.0 174 0.0 114 -0.09805 + 0.0 174 0.0 133 -0.2576 + 0.0 174 0.0 153 0.334 + 0.0 174 0.0 174 1 + 0.0 174 0.0 196 0.4515 + 0.0 174 0.0 220 -0.4329 + 0.0 174 0.0 245 -0.311 + 0.0 174 0.0 272 0.04376 + 0.0 174 0.0 300 0.108 + 0.0 174 0.0 330 0.01821 + 0.0 174 0.0 362 -0.004951 + 0.0 174 0.0 395 -0.005867 + 0.0 174 0.0 430 -0.001618 + 0.0 174 0.0 468 -0.0003094 + 0.0 174 0.0 507 -0.000144 + 0.0 174 0.0 548 -1.934e-05 + 0.0 174 0.0 592 -2.66e-06 + 0.0 174 0.0 638 -2.555e-07 + 0.0 174 0.0 686 -6.776e-09 + 0.0 174 0.0 737 4.566e-09 + 0.0 174 0.0 790 1.373e-09 + 0.0 174 0.0 846 2.479e-10 + 0.0 174 0.0 905 3.357e-11 + 0.0 174 0.0 967 3.635e-12 + 0.0 174 0.0 1032 3.19e-13 + 0.0 174 0.0 1101 2.223e-14 + 0.0 174 0.0 1172 1.393e-15 + 0.0 174 0.0 1248 6.867e-17 + 0.0 174 0.0 1327 3.183e-18 + 0.0 174 0.0 1410 1.235e-19 + 0.0 174 0.0 1497 3.979e-21 + 0.0 174 0.0 1588 3.994e-23 + 0.0 174 0.0 1784 1.043e-26 +* 0.0 174 0.0 2116 1.128e-30 + 0.0 196 0.0 74 -0.008309 + 0.0 196 0.0 84 0.008082 + 0.0 196 0.0 97 0.05823 + 0.0 196 0.0 114 0.07594 + 0.0 196 0.0 133 -0.1013 + 0.0 196 0.0 153 -0.2494 + 0.0 196 0.0 174 0.4515 + 0.0 196 0.0 196 1 + 0.0 196 0.0 220 0.3354 + 0.0 196 0.0 245 -0.6403 + 0.0 196 0.0 272 -0.1056 + 0.0 196 0.0 300 0.1564 + 0.0 196 0.0 330 0.05607 + 0.0 196 0.0 362 -0.0005645 + 0.0 196 0.0 395 -0.009433 + 0.0 196 0.0 430 -0.003223 + 0.0 196 0.0 468 -0.0006146 + 0.0 196 0.0 507 -0.00022 + 0.0 196 0.0 548 -1.478e-05 + 0.0 196 0.0 592 -1.291e-06 + 0.0 196 0.0 638 -4.28e-07 + 0.0 196 0.0 686 -8.768e-08 + 0.0 196 0.0 737 -3.128e-09 + 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0.0 790 6.106e-12 +* 0.0 2116 0.0 846 -7.649e-10 +* 0.0 2116 0.0 905 -5.81e-09 +* 0.0 2116 0.0 967 -6.553e-08 +* 0.0 2116 0.0 1032 -1.353e-06 +* 0.0 2116 0.0 1101 -2.157e-05 +* 0.0 2116 0.0 1172 -0.0002488 +* 0.0 2116 0.0 1248 -0.001776 +* 0.0 2116 0.0 1327 -0.006038 +* 0.0 2116 0.0 1410 0.02887 +* 0.0 2116 0.0 1497 0.3278 +* 0.0 2116 0.0 1588 0.9353 +* 0.0 2116 0.0 1784 -0.9998 +* 0.0 2116 0.0 2116 1 diff --git a/buildmaster/CMS_1JET_8TEV/rawdata/CMS_8TeV_jets_Ybin2.dat b/buildmaster/CMS_1JET_8TEV/rawdata/CMS_8TeV_jets_Ybin2.dat new file mode 100644 index 0000000000..89a59f0664 --- /dev/null +++ b/buildmaster/CMS_1JET_8TEV/rawdata/CMS_8TeV_jets_Ybin2.dat @@ -0,0 +1,89 @@ +! CMS 8 TeV jets, 19.71 fb-1 +! Data correspond to CMS Paper SMP-12-012 +! +! Separate data and theory files for each Y bin +! Central values and covariance matrices for each +! uncertainty source (including statistical +! correlations) are provided separately. +! +! Provided by Sanmay Ganguly on 30.03.15 +! Asymm uncertainties are given by Sanmay on 22.04.15 +! RelativeStatFSR is given by Sanmay on 02.06.15 +! New NP corrections and uncertainties are given by Salim on 06.06.15 +&Data + Name = 'CMS inclusive jets 8 TeV, 0.5 < |y| < 1.0' + Reaction = 'pp jets fastNLO' + + NDATA = 47 + NColumn = 63 + ColumnType = 'Flag','Bin', 'Bin', 'Bin', 'Bin', 'Sigma', 'Dummy', 'Error', 'Error', 'Error', 52*'Error', 'Error' + ColumnName = 'binFlag', 'ylow', 'yhigh', 'ptlow', 'pthigh', 'Sigma', 'NPCorr', 'npcorerr+', 'npcorerr-', 'ignore', 'Unfolding+', 'Unfolding-', 'AbsoluteStat+', 'AbsoluteStat-', 'AbsoluteScale+', 'AbsoluteScale-', 'AbsoluteMPFBias+', 'AbsoluteMPFBias-', 'Fragmentation+', 'Fragmentation-', 'SinglePionECAL+', 'SinglePionECAL-', 'SinglePionHCAL+', 'SinglePionHCAL-', 'FlavorQCD+', 'FlavorQCD-', 'RelativeJEREC1+', 'RelativeJEREC1-', 'RelativeJEREC2+', 'RelativeJEREC2-', 'RelativeJERHF+', 'RelativeJERHF-', 'RelativePtBB+', 'RelativePtBB-', 'RelativePtEC1+', 'RelativePtEC1-', 'RelativePtEC2+', 'RelativePtEC2-', 'RelativePtHF+', 'RelativePtHF-', 'RelativeFSR+', 'RelativeFSR-', 'RelativeStatEC2+', 'RelativeStatEC2-', 'RelativeStatHF+', 'RelativeStatHF-', 'PileUpDataMC+', 'PileUpDataMC-', 'PileUpPtRef+', 'PileUpPtRef-', 'PileUpPtBB+', 'PileUpPtBB-', 'PileUpPtEC1+', 'PileUpPtEC1-', 'PileUpPtEC2+', 'PileUpPtEC2-', 'PileUpPtHF+', 'PileUpPtHF-','RelativeStatFSR+','RelativeStatFSR-', 'Luminosity', 'stat', 'uncor' + NInfo = 4 + DataInfo = 8000., 1., -1., -1. + CInfo = 'sqrt(S)', 'PublicationUnits', 'MurDef', 'MufDef' + + IndexDataset = 203 +! TheoryInfoFile = 'datafiles/lhc/cms/jets/8TeV/fnl3332y1.tab' + TheoryType = 'expression' + TermName = 'F','K' + TermType = 'fastnlo','kfactor' + TheorExpr = 'K*F' + TermSource = 'datafiles/lhc/cms/jets/1609.05331/fnl3332y1.tab','datafiles/lhc/cms/jets/1609.05331/npcorr_Ybin2.dat' + Percent = True, True, False, 52*True, True +&End +&PlotDesc + PlotN = 1 + PlotDefColumn = 'ylow' + PlotDefValue = 0.25, 0.75 + PlotVarColumn = 'ptlow' + PlotOptions(1) = 'Title:CMS 8 TeV inclusive jets@XTitle:p_{T}^{jet} (GeV)@YTitle:d#sigma/dp_{T}^{jet} (pb/GeV)@Xmin:66.6@Xmax:2750@Ymin:1.05228e-07@Ymax:39537.6@YminR:0.5@YmaxR:1.5@Xlog@Ylog' +&End +* ylow yhigh ptlow pthigh cross_sec npcorr npcorr_e+ npcorr_e- stat_abs Unfolding+ Unfoldingm AbsStat+ AbsStat- AbsScale+ AbsScale- AbsMPFB+ AbsMPFB- Fragm+ Fragm- SiPionE+ SiPionE- SiPionH+ SiPionH- FlavorQCD+ FlavorQCD- RelJEREC1+ RelJEREC1- RelJEREC2+ RelJEREC2- RelJERHF+ RelJERHF- RelPtBB+ RelPtBB- RelPtEC1+ RelPtEC1- RelPtEC2+ RelPtEC2- RelPtHF+ RelPtHF- RelFSR+ RelFSR- RelStaEC2+ RelStaEC2- RelStaHF+ RelStaHF- PU_DataMC+ PU_DataMC- PU_PtRef+ PU_PtRef- PU_PtBB+ PU_PtBB- PU_PtEC1+ PU_PtEC1- PU_PtEC2+ PU_PtEC2- PU_PtHF+ PU_PtHF- RelStaFSR+ RelStaFSR- lumi stat uncor +0 0.5 1.0 18 21 35943.3 1.179 0.6852 -0.6852 235.2 3.78 -3.954 0.04795 0.1678 0.5044 -0.3237 1.257 -1.897 0.373 -0.2001 0.009298 0.124 0.06214 0.4142 3.666 -4.184 0.0001669 0.0001669 0 0 0.0001669 0.0001669 0.4078 -0.6414 0.0001669 0.0001669 0 0 0.0001669 0.0001669 0.09893 -0.08652 0 0 0.0001669 0.0001669 0.005555 -0.005823 -0.009143 0.003111 -0.0003338 0.06989 0 0 0 0 0 0 999 -999 2.6 0.654337 1 +0 0.5 1.0 21 24 35943.3 1.179 0.6852 -0.6852 235.2 3.78 -3.954 0.04795 0.1678 0.5044 -0.3237 1.257 -1.897 0.373 -0.2001 0.009298 0.124 0.06214 0.4142 3.666 -4.184 0.0001669 0.0001669 0 0 0.0001669 0.0001669 0.4078 -0.6414 0.0001669 0.0001669 0 0 0.0001669 0.0001669 0.09893 -0.08652 0 0 0.0001669 0.0001669 0.005555 -0.005823 -0.009143 0.003111 -0.0003338 0.06989 0 0 0 0 0 0 999 -999 2.6 0.654337 1 +0 0.5 1.0 24 28 35943.3 1.179 0.6852 -0.6852 235.2 3.78 -3.954 0.04795 0.1678 0.5044 -0.3237 1.257 -1.897 0.373 -0.2001 0.009298 0.124 0.06214 0.4142 3.666 -4.184 0.0001669 0.0001669 0 0 0.0001669 0.0001669 0.4078 -0.6414 0.0001669 0.0001669 0 0 0.0001669 0.0001669 0.09893 -0.08652 0 0 0.0001669 0.0001669 0.005555 -0.005823 -0.009143 0.003111 -0.0003338 0.06989 0 0 0 0 0 0 999 -999 2.6 0.654337 1 +0 0.5 1.0 28 32 35943.3 1.179 0.6852 -0.6852 235.2 3.78 -3.954 0.04795 0.1678 0.5044 -0.3237 1.257 -1.897 0.373 -0.2001 0.009298 0.124 0.06214 0.4142 3.666 -4.184 0.0001669 0.0001669 0 0 0.0001669 0.0001669 0.4078 -0.6414 0.0001669 0.0001669 0 0 0.0001669 0.0001669 0.09893 -0.08652 0 0 0.0001669 0.0001669 0.005555 -0.005823 -0.009143 0.003111 -0.0003338 0.06989 0 0 0 0 0 0 999 -999 2.6 0.654337 1 +0 0.5 1.0 32 37 35943.3 1.179 0.6852 -0.6852 235.2 3.78 -3.954 0.04795 0.1678 0.5044 -0.3237 1.257 -1.897 0.373 -0.2001 0.009298 0.124 0.06214 0.4142 3.666 -4.184 0.0001669 0.0001669 0 0 0.0001669 0.0001669 0.4078 -0.6414 0.0001669 0.0001669 0 0 0.0001669 0.0001669 0.09893 -0.08652 0 0 0.0001669 0.0001669 0.005555 -0.005823 -0.009143 0.003111 -0.0003338 0.06989 0 0 0 0 0 0 999 -999 2.6 0.654337 1 +0 0.5 1.0 37 43 35943.3 1.179 0.6852 -0.6852 235.2 3.78 -3.954 0.04795 0.1678 0.5044 -0.3237 1.257 -1.897 0.373 -0.2001 0.009298 0.124 0.06214 0.4142 3.666 -4.184 0.0001669 0.0001669 0 0 0.0001669 0.0001669 0.4078 -0.6414 0.0001669 0.0001669 0 0 0.0001669 0.0001669 0.09893 -0.08652 0 0 0.0001669 0.0001669 0.005555 -0.005823 -0.009143 0.003111 -0.0003338 0.06989 0 0 0 0 0 0 999 -999 2.6 0.654337 1 +0 0.5 1.0 43 49 35943.3 1.179 0.6852 -0.6852 235.2 3.78 -3.954 0.04795 0.1678 0.5044 -0.3237 1.257 -1.897 0.373 -0.2001 0.009298 0.124 0.06214 0.4142 3.666 -4.184 0.0001669 0.0001669 0 0 0.0001669 0.0001669 0.4078 -0.6414 0.0001669 0.0001669 0 0 0.0001669 0.0001669 0.09893 -0.08652 0 0 0.0001669 0.0001669 0.005555 -0.005823 -0.009143 0.003111 -0.0003338 0.06989 0 0 0 0 0 0 999 -999 2.6 0.654337 1 +0 0.5 1.0 49 56 35943.3 1.179 0.6852 -0.6852 235.2 3.78 -3.954 0.04795 0.1678 0.5044 -0.3237 1.257 -1.897 0.373 -0.2001 0.009298 0.124 0.06214 0.4142 3.666 -4.184 0.0001669 0.0001669 0 0 0.0001669 0.0001669 0.4078 -0.6414 0.0001669 0.0001669 0 0 0.0001669 0.0001669 0.09893 -0.08652 0 0 0.0001669 0.0001669 0.005555 -0.005823 -0.009143 0.003111 -0.0003338 0.06989 0 0 0 0 0 0 999 -999 2.6 0.654337 1 +0 0.5 1.0 56 64 35943.3 1.179 0.6852 -0.6852 235.2 3.78 -3.954 0.04795 0.1678 0.5044 -0.3237 1.257 -1.897 0.373 -0.2001 0.009298 0.124 0.06214 0.4142 3.666 -4.184 0.0001669 0.0001669 0 0 0.0001669 0.0001669 0.4078 -0.6414 0.0001669 0.0001669 0 0 0.0001669 0.0001669 0.09893 -0.08652 0 0 0.0001669 0.0001669 0.005555 -0.005823 -0.009143 0.003111 -0.0003338 0.06989 0 0 0 0 0 0 999 -999 2.6 0.654337 1 +0 0.5 1.0 64 74 35943.3 1.179 0.6852 -0.6852 235.2 3.78 -3.954 0.04795 0.1678 0.5044 -0.3237 1.257 -1.897 0.373 -0.2001 0.009298 0.124 0.06214 0.4142 3.666 -4.184 0.0001669 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1.0 2116 2500 1.1692e-07 1.09 0.4575 -0.4575 1.367e-07 1.13 -1.399 1.087 -1.994 1.056 -1.98 2.601 -12.43 -2.148 1.184 1.208 -2.87 3.169 -9.066 -4.674 1.436 -0.0005186 -0.0005186 0 0 -0.0005186 -0.0005186 -4.882 0.8239 -0.0005186 -0.0005186 0 0 -0.0005186 -0.0005186 0.05616 -0.1136 0 0 -0.0005186 -0.0005186 0.0742 -0.1326 -0.2153 0.1895 -18.67 4.747 0 0 0 0 0 0 0.05616 -0.1136 2.6 116.909 1 +0 0.5 1.0 2500 3000 1.1692e-07 1.09 0.4575 -0.4575 1.367e-07 1.13 -1.399 1.087 -1.994 1.056 -1.98 2.601 -12.43 -2.148 1.184 1.208 -2.87 3.169 -9.066 -4.674 1.436 -0.0005186 -0.0005186 0 0 -0.0005186 -0.0005186 -4.882 0.8239 -0.0005186 -0.0005186 0 0 -0.0005186 -0.0005186 0.05616 -0.1136 0 0 -0.0005186 -0.0005186 0.0742 -0.1326 -0.2153 0.1895 -18.67 4.747 0 0 0 0 0 0 0.05616 -0.1136 2.6 116.909 1 diff --git a/buildmaster/CMS_1JET_8TEV/rawdata/CMS_8TeV_jets_Ybin2___CMS_8TeV_jets_Ybin2.dat b/buildmaster/CMS_1JET_8TEV/rawdata/CMS_8TeV_jets_Ybin2___CMS_8TeV_jets_Ybin2.dat new file mode 100644 index 0000000000..9a54cb60d0 --- /dev/null +++ b/buildmaster/CMS_1JET_8TEV/rawdata/CMS_8TeV_jets_Ybin2___CMS_8TeV_jets_Ybin2.dat @@ -0,0 +1,1386 @@ +! +! Statistical correlation matrix for rapidity bin 0.5 < |y| < 1.0 +! +&StatCorr + Name1 = 'CMS inclusive jets 8 TeV, 0.5 < |y| < 1.0' + Name2 = 'CMS inclusive jets 8 TeV, 0.5 < |y| < 1.0' + + NIdColumns1 = 2 + NIdColumns2 = 2 + + IdColumns1 = 'ylow', 'ptlow' + IdColumns2 = 'ylow', 'ptlow' + + NCorr = 1296 + + MatrixType = 'Statistical correlations' +&End + 0.5 74 0.5 74 1 + 0.5 74 0.5 84 0.651 + 0.5 74 0.5 97 -0.03475 + 0.5 74 0.5 114 -0.2404 + 0.5 74 0.5 133 -0.07682 + 0.5 74 0.5 153 0.1199 + 0.5 74 0.5 174 0.03158 + 0.5 74 0.5 196 -0.008016 + 0.5 74 0.5 220 -0.01778 + 0.5 74 0.5 245 -0.003528 + 0.5 74 0.5 272 5.219e-05 + 0.5 74 0.5 300 0.0004326 + 0.5 74 0.5 330 0.0001206 + 0.5 74 0.5 362 2.073e-05 + 0.5 74 0.5 395 4.225e-06 + 0.5 74 0.5 430 3.348e-07 + 0.5 74 0.5 468 2.452e-08 + 0.5 74 0.5 507 1.015e-08 + 0.5 74 0.5 548 2.279e-09 + 0.5 74 0.5 592 4.764e-10 + 0.5 74 0.5 638 6.71e-11 + 0.5 74 0.5 686 7.818e-12 + 0.5 74 0.5 737 7.525e-13 + 0.5 74 0.5 790 6.294e-14 + 0.5 74 0.5 846 4.684e-15 + 0.5 74 0.5 905 3.007e-16 + 0.5 74 0.5 967 1.83e-17 + 0.5 74 0.5 1032 9.371e-19 + 0.5 74 0.5 1101 4.433e-20 + 0.5 74 0.5 1172 1.971e-21 + 0.5 74 0.5 1248 6.942e-23 + 0.5 74 0.5 1327 2.283e-24 + 0.5 74 0.5 1410 7.099e-26 + 0.5 74 0.5 1497 1.621e-27 + 0.5 74 0.5 1588 1.134e-29 + 0.5 74 0.5 1784 2.381e-34 +* 0.5 74 0.5 2116 5.075e-39 + 0.5 84 0.5 74 0.651 + 0.5 84 0.5 84 1 + 0.5 84 0.5 97 0.5576 + 0.5 84 0.5 114 -0.1709 + 0.5 84 0.5 133 -0.4417 + 0.5 84 0.5 153 0.05845 + 0.5 84 0.5 174 0.0668 + 0.5 84 0.5 196 0.008796 + 0.5 84 0.5 220 -0.01329 + 0.5 84 0.5 245 -0.00677 + 0.5 84 0.5 272 -0.001726 + 0.5 84 0.5 300 -0.0003198 + 0.5 84 0.5 330 1.282e-06 + 0.5 84 0.5 362 1.765e-06 + 0.5 84 0.5 395 -2.024e-06 + 0.5 84 0.5 430 -9.077e-07 + 0.5 84 0.5 468 -2.009e-07 + 0.5 84 0.5 507 -8.629e-08 + 0.5 84 0.5 548 -8.09e-09 + 0.5 84 0.5 592 -2.781e-10 + 0.5 84 0.5 638 6.807e-11 + 0.5 84 0.5 686 1.556e-11 + 0.5 84 0.5 737 2.006e-12 + 0.5 84 0.5 790 2.031e-13 + 0.5 84 0.5 846 1.742e-14 + 0.5 84 0.5 905 1.267e-15 + 0.5 84 0.5 967 8.426e-17 + 0.5 84 0.5 1032 4.766e-18 + 0.5 84 0.5 1101 2.432e-19 + 0.5 84 0.5 1172 1.172e-20 + 0.5 84 0.5 1248 4.46e-22 + 0.5 84 0.5 1327 1.577e-23 + 0.5 84 0.5 1410 5.231e-25 + 0.5 84 0.5 1497 1.266e-26 + 0.5 84 0.5 1588 9.429e-29 + 0.5 84 0.5 1784 2.234e-33 +* 0.5 84 0.5 2116 5.945e-38 + 0.5 97 0.5 74 -0.03475 + 0.5 97 0.5 84 0.5576 + 0.5 97 0.5 97 1 + 0.5 97 0.5 114 0.5361 + 0.5 97 0.5 133 -0.3635 + 0.5 97 0.5 153 -0.3553 + 0.5 97 0.5 174 0.01907 + 0.5 97 0.5 196 0.05996 + 0.5 97 0.5 220 0.04476 + 0.5 97 0.5 245 -0.006456 + 0.5 97 0.5 272 -0.007896 + 0.5 97 0.5 300 -0.004524 + 0.5 97 0.5 330 -0.0008916 + 0.5 97 0.5 362 -0.0001508 + 0.5 97 0.5 395 -4.252e-05 + 0.5 97 0.5 430 -6.91e-06 + 0.5 97 0.5 468 -1.132e-06 + 0.5 97 0.5 507 -4.718e-07 + 0.5 97 0.5 548 -5.07e-08 + 0.5 97 0.5 592 -3.526e-09 + 0.5 97 0.5 638 8.316e-11 + 0.5 97 0.5 686 5.703e-11 + 0.5 97 0.5 737 9.34e-12 + 0.5 97 0.5 790 1.112e-12 + 0.5 97 0.5 846 1.09e-13 + 0.5 97 0.5 905 8.956e-15 + 0.5 97 0.5 967 6.552e-16 + 0.5 97 0.5 1032 4.111e-17 + 0.5 97 0.5 1101 2.288e-18 + 0.5 97 0.5 1172 1.204e-19 + 0.5 97 0.5 1248 4.994e-21 + 0.5 97 0.5 1327 1.91e-22 + 0.5 97 0.5 1410 6.772e-24 + 0.5 97 0.5 1497 1.743e-25 + 0.5 97 0.5 1588 1.393e-27 + 0.5 97 0.5 1784 3.946e-32 +* 0.5 97 0.5 2116 1.488e-36 + 0.5 114 0.5 74 -0.2404 + 0.5 114 0.5 84 -0.1709 + 0.5 114 0.5 97 0.5361 + 0.5 114 0.5 114 1 + 0.5 114 0.5 133 0.2956 + 0.5 114 0.5 153 -0.6147 + 0.5 114 0.5 174 -0.1001 + 0.5 114 0.5 196 0.07716 + 0.5 114 0.5 220 0.1006 + 0.5 114 0.5 245 0.001316 + 0.5 114 0.5 272 -0.0112 + 0.5 114 0.5 300 -0.00763 + 0.5 114 0.5 330 -0.001497 + 0.5 114 0.5 362 -0.0002056 + 0.5 114 0.5 395 -3.737e-05 + 0.5 114 0.5 430 -4.196e-06 + 0.5 114 0.5 468 -7.974e-07 + 0.5 114 0.5 507 -4.516e-07 + 0.5 114 0.5 548 -5.882e-08 + 0.5 114 0.5 592 -2.778e-09 + 0.5 114 0.5 638 9.393e-10 + 0.5 114 0.5 686 2.91e-10 + 0.5 114 0.5 737 5.091e-11 + 0.5 114 0.5 790 6.931e-12 + 0.5 114 0.5 846 7.796e-13 + 0.5 114 0.5 905 7.29e-14 + 0.5 114 0.5 967 5.952e-15 + 0.5 114 0.5 1032 4.2e-16 + 0.5 114 0.5 1101 2.594e-17 + 0.5 114 0.5 1172 1.508e-18 + 0.5 114 0.5 1248 6.878e-20 + 0.5 114 0.5 1327 2.861e-21 + 0.5 114 0.5 1410 1.089e-22 + 0.5 114 0.5 1497 3.012e-24 + 0.5 114 0.5 1588 2.652e-26 + 0.5 114 0.5 1784 1.019e-30 +* 0.5 114 0.5 2116 6.421e-35 + 0.5 133 0.5 74 -0.07682 + 0.5 133 0.5 84 -0.4417 + 0.5 133 0.5 97 -0.3635 + 0.5 133 0.5 114 0.2956 + 0.5 133 0.5 133 1 + 0.5 133 0.5 153 0.1025 + 0.5 133 0.5 174 -0.2584 + 0.5 133 0.5 196 -0.1027 + 0.5 133 0.5 220 0.09937 + 0.5 133 0.5 245 0.06717 + 0.5 133 0.5 272 0.00149 + 0.5 133 0.5 300 -0.01538 + 0.5 133 0.5 330 -0.004578 + 0.5 133 0.5 362 -0.0002484 + 0.5 133 0.5 395 0.0004001 + 0.5 133 0.5 430 0.000156 + 0.5 133 0.5 468 3.374e-05 + 0.5 133 0.5 507 1.489e-05 + 0.5 133 0.5 548 1.629e-06 + 0.5 133 0.5 592 1.619e-07 + 0.5 133 0.5 638 1.976e-08 + 0.5 133 0.5 686 4.083e-09 + 0.5 133 0.5 737 8.071e-10 + 0.5 133 0.5 790 1.305e-10 + 0.5 133 0.5 846 1.711e-11 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174 0.5 846 4.035e-10 + 0.5 174 0.5 905 6.278e-11 + 0.5 174 0.5 967 7.834e-12 + 0.5 174 0.5 1032 8.169e-13 + 0.5 174 0.5 1101 6.979e-14 + 0.5 174 0.5 1172 5.334e-15 + 0.5 174 0.5 1248 3.163e-16 + 0.5 174 0.5 1327 1.715e-17 + 0.5 174 0.5 1410 8.759e-19 + 0.5 174 0.5 1497 3.594e-20 + 0.5 174 0.5 1588 5.721e-22 + 0.5 174 0.5 1784 7.908e-26 +* 0.5 174 0.5 2116 1.62e-29 + 0.5 196 0.5 74 -0.008016 + 0.5 196 0.5 84 0.008796 + 0.5 196 0.5 97 0.05996 + 0.5 196 0.5 114 0.07716 + 0.5 196 0.5 133 -0.1027 + 0.5 196 0.5 153 -0.248 + 0.5 196 0.5 174 0.453 + 0.5 196 0.5 196 1 + 0.5 196 0.5 220 0.3461 + 0.5 196 0.5 245 -0.6433 + 0.5 196 0.5 272 -0.1164 + 0.5 196 0.5 300 0.1552 + 0.5 196 0.5 330 0.06008 + 0.5 196 0.5 362 0.0007109 + 0.5 196 0.5 395 -0.009688 + 0.5 196 0.5 430 -0.0036 + 0.5 196 0.5 468 -0.0007485 + 0.5 196 0.5 507 -0.0002899 + 0.5 196 0.5 548 -2.288e-05 + 0.5 196 0.5 592 -1.819e-06 + 0.5 196 0.5 638 -5.312e-07 + 0.5 196 0.5 686 -1.321e-07 + 0.5 196 0.5 737 -1.167e-08 + 0.5 196 0.5 790 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-1.257e-10 +* 0.5 2116 0.5 846 -1.185e-09 +* 0.5 2116 0.5 905 -7.288e-09 +* 0.5 2116 0.5 967 -9.309e-08 +* 0.5 2116 0.5 1032 -1.648e-06 +* 0.5 2116 0.5 1101 -2.137e-05 +* 0.5 2116 0.5 1172 -0.0001956 +* 0.5 2116 0.5 1248 -0.00105 +* 0.5 2116 0.5 1327 -0.001326 +* 0.5 2116 0.5 1410 0.03983 +* 0.5 2116 0.5 1497 0.2626 +* 0.5 2116 0.5 1588 0.8648 +* 0.5 2116 0.5 1784 -0.9999 +* 0.5 2116 0.5 2116 1 diff --git a/buildmaster/CMS_1JET_8TEV/rawdata/CMS_8TeV_jets_Ybin3.dat b/buildmaster/CMS_1JET_8TEV/rawdata/CMS_8TeV_jets_Ybin3.dat new file mode 100644 index 0000000000..c6da344e7a --- /dev/null +++ b/buildmaster/CMS_1JET_8TEV/rawdata/CMS_8TeV_jets_Ybin3.dat @@ -0,0 +1,88 @@ +! CMS 8 TeV jets, 19.71 fb-1 +! Data correspond to CMS Paper SMP-12-012 +! +! Separate data and theory files for each Y bin +! Central values and covariance matrices for each +! uncertainty source (including statistical +! correlations) are provided separately. +! +! Provided by Sanmay Ganguly on 30.03.15 +! Asymm uncertainties are given by Sanmay on 22.04.15 +! RelativeStatFSR is given by Sanmay on 02.06.15 +! New NP corrections and uncertainties are given by Salim on 06.06.15 +&Data + Name = 'CMS inclusive jets 8 TeV, 1.0 < |y| < 1.5' + Reaction = 'pp jets fastNLO' + + NDATA = 46 + NColumn = 63 + ColumnType = 'Flag', 'Bin', 'Bin', 'Bin', 'Bin', 'Sigma', 'Dummy', 'Error', 'Error', 'Error', 52*'Error', 'Error' + ColumnName = 'binFlag','ylow', 'yhigh', 'ptlow', 'pthigh', 'Sigma', 'NPCorr', 'npcorerr+', 'npcorerr-', 'ignore', 'Unfolding+', 'Unfolding-', 'AbsoluteStat+', 'AbsoluteStat-', 'AbsoluteScale+', 'AbsoluteScale-', 'AbsoluteMPFBias+', 'AbsoluteMPFBias-', 'Fragmentation+', 'Fragmentation-', 'SinglePionECAL+', 'SinglePionECAL-', 'SinglePionHCAL+', 'SinglePionHCAL-', 'FlavorQCD+', 'FlavorQCD-', 'RelativeJEREC1+', 'RelativeJEREC1-', 'RelativeJEREC2+', 'RelativeJEREC2-', 'RelativeJERHF+', 'RelativeJERHF-', 'RelativePtBB+', 'RelativePtBB-', 'RelativePtEC1+', 'RelativePtEC1-', 'RelativePtEC2+', 'RelativePtEC2-', 'RelativePtHF+', 'RelativePtHF-', 'RelativeFSR+', 'RelativeFSR-', 'RelativeStatEC2+', 'RelativeStatEC2-', 'RelativeStatHF+', 'RelativeStatHF-', 'PileUpDataMC+', 'PileUpDataMC-', 'PileUpPtRef+', 'PileUpPtRef-', 'PileUpPtBB+', 'PileUpPtBB-', 'PileUpPtEC1+', 'PileUpPtEC1-', 'PileUpPtEC2+', 'PileUpPtEC2-', 'PileUpPtHF+', 'PileUpPtHF-','RelativeStatFSR+','RelativeStatFSR-', 'Luminosity', 'stat', 'uncor' + NInfo = 4 + DataInfo = 8000., 1., -1., -1. + CInfo = 'sqrt(S)', 'PublicationUnits', 'MurDef', 'MufDef' + + IndexDataset = 204 +! TheoryInfoFile = 'datafiles/lhc/cms/jets/8TeV/fnl3332y2.tab' + TheoryType = 'expression' + TermName = 'F','K' + TermType = 'fastnlo','kfactor' + TheorExpr = 'K*F' + TermSource = 'datafiles/lhc/cms/jets/1609.05331/fnl3332y2.tab','datafiles/lhc/cms/jets/1609.05331/npcorr_Ybin3.dat' + Percent = True, True, False, 52*True, True +&End +&PlotDesc + PlotN = 1 + PlotDefColumn = 'ylow' + PlotDefValue = 0.75, 1.25 + PlotVarColumn = 'ptlow' + PlotOptions(1) = 'Title:CMS 8 TeV inclusive jets@XTitle:p_{T}^{jet} (GeV)@YTitle:d#sigma/dp_{T}^{jet} (pb/GeV)@Xmin:66.6@Xmax:2327.6@Ymin:7.75863e-08@Ymax:36291.5@YminR:0.5@YmaxR:1.5@Xlog@Ylog' +&End +* Flag ylow yhigh ptlow pthigh cross_sec npcorr npcorr_e+ npcorr_e- stat_abs Unfolding+ Unfoldingm AbsStat+ AbsStat- AbsScale+ AbsScale- AbsMPFB+ AbsMPFB- Fragm+ Fragm- SiPionE+ SiPionE- SiPionH+ SiPionH- FlavorQCD+ FlavorQCD- RelJEREC1+ RelJEREC1- RelJEREC2+ RelJEREC2- RelJERHF+ RelJERHF- RelPtBB+ RelPtBB- RelPtEC1+ RelPtEC1- RelPtEC2+ RelPtEC2- RelPtHF+ RelPtHF- RelFSR+ RelFSR- RelStaEC2+ RelStaEC2- RelStaHF+ RelStaHF- PU_DataMC+ PU_DataMC- PU_PtRef+ PU_PtRef- PU_PtBB+ PU_PtBB- PU_PtEC1+ PU_PtEC1- PU_PtEC2+ PU_PtEC2- PU_PtHF+ PU_PtHF- RelStaFSR+ RelStaFSR- lumi stat uncor +0 1.0 1.5 18 21 32992.3 1.172 0.535 -0.535 221.8 4.417 -4.783 0.1556 0.02848 0.6024 -0.4721 2.389 -1.331 0.2337 -0.1566 -0.09065 0.01532 -0.9641 0.2483 4.299 -3.943 0.06021 -0.05822 0 0 0 0 -0.8825 0.8229 -1.43 1.511 0 0 0 0 0.1909 -0.3196 0 0 0 0 0.009596 -0.194 -0.02028 0.004792 -0.01541 0 -0.009388 0.009966 0 0 0 0 999 -999 2.6 0.672353 1 +0 1.0 1.5 21 24 32992.3 1.172 0.535 -0.535 221.8 4.417 -4.783 0.1556 0.02848 0.6024 -0.4721 2.389 -1.331 0.2337 -0.1566 -0.09065 0.01532 -0.9641 0.2483 4.299 -3.943 0.06021 -0.05822 0 0 0 0 -0.8825 0.8229 -1.43 1.511 0 0 0 0 0.1909 -0.3196 0 0 0 0 0.009596 -0.194 -0.02028 0.004792 -0.01541 0 -0.009388 0.009966 0 0 0 0 999 -999 2.6 0.672353 1 +0 1.0 1.5 24 28 32992.3 1.172 0.535 -0.535 221.8 4.417 -4.783 0.1556 0.02848 0.6024 -0.4721 2.389 -1.331 0.2337 -0.1566 -0.09065 0.01532 -0.9641 0.2483 4.299 -3.943 0.06021 -0.05822 0 0 0 0 -0.8825 0.8229 -1.43 1.511 0 0 0 0 0.1909 -0.3196 0 0 0 0 0.009596 -0.194 -0.02028 0.004792 -0.01541 0 -0.009388 0.009966 0 0 0 0 999 -999 2.6 0.672353 1 +0 1.0 1.5 28 32 32992.3 1.172 0.535 -0.535 221.8 4.417 -4.783 0.1556 0.02848 0.6024 -0.4721 2.389 -1.331 0.2337 -0.1566 -0.09065 0.01532 -0.9641 0.2483 4.299 -3.943 0.06021 -0.05822 0 0 0 0 -0.8825 0.8229 -1.43 1.511 0 0 0 0 0.1909 -0.3196 0 0 0 0 0.009596 -0.194 -0.02028 0.004792 -0.01541 0 -0.009388 0.009966 0 0 0 0 999 -999 2.6 0.672353 1 +0 1.0 1.5 32 37 32992.3 1.172 0.535 -0.535 221.8 4.417 -4.783 0.1556 0.02848 0.6024 -0.4721 2.389 -1.331 0.2337 -0.1566 -0.09065 0.01532 -0.9641 0.2483 4.299 -3.943 0.06021 -0.05822 0 0 0 0 -0.8825 0.8229 -1.43 1.511 0 0 0 0 0.1909 -0.3196 0 0 0 0 0.009596 -0.194 -0.02028 0.004792 -0.01541 0 -0.009388 0.009966 0 0 0 0 999 -999 2.6 0.672353 1 +0 1.0 1.5 37 43 32992.3 1.172 0.535 -0.535 221.8 4.417 -4.783 0.1556 0.02848 0.6024 -0.4721 2.389 -1.331 0.2337 -0.1566 -0.09065 0.01532 -0.9641 0.2483 4.299 -3.943 0.06021 -0.05822 0 0 0 0 -0.8825 0.8229 -1.43 1.511 0 0 0 0 0.1909 -0.3196 0 0 0 0 0.009596 -0.194 -0.02028 0.004792 -0.01541 0 -0.009388 0.009966 0 0 0 0 999 -999 2.6 0.672353 1 +0 1.0 1.5 43 49 32992.3 1.172 0.535 -0.535 221.8 4.417 -4.783 0.1556 0.02848 0.6024 -0.4721 2.389 -1.331 0.2337 -0.1566 -0.09065 0.01532 -0.9641 0.2483 4.299 -3.943 0.06021 -0.05822 0 0 0 0 -0.8825 0.8229 -1.43 1.511 0 0 0 0 0.1909 -0.3196 0 0 0 0 0.009596 -0.194 -0.02028 0.004792 -0.01541 0 -0.009388 0.009966 0 0 0 0 999 -999 2.6 0.672353 1 +0 1.0 1.5 49 56 32992.3 1.172 0.535 -0.535 221.8 4.417 -4.783 0.1556 0.02848 0.6024 -0.4721 2.389 -1.331 0.2337 -0.1566 -0.09065 0.01532 -0.9641 0.2483 4.299 -3.943 0.06021 -0.05822 0 0 0 0 -0.8825 0.8229 -1.43 1.511 0 0 0 0 0.1909 -0.3196 0 0 0 0 0.009596 -0.194 -0.02028 0.004792 -0.01541 0 -0.009388 0.009966 0 0 0 0 999 -999 2.6 0.672353 1 +0 1.0 1.5 56 64 32992.3 1.172 0.535 -0.535 221.8 4.417 -4.783 0.1556 0.02848 0.6024 -0.4721 2.389 -1.331 0.2337 -0.1566 -0.09065 0.01532 -0.9641 0.2483 4.299 -3.943 0.06021 -0.05822 0 0 0 0 -0.8825 0.8229 -1.43 1.511 0 0 0 0 0.1909 -0.3196 0 0 0 0 0.009596 -0.194 -0.02028 0.004792 -0.01541 0 -0.009388 0.009966 0 0 0 0 999 -999 2.6 0.672353 1 +0 1.0 1.5 64 74 32992.3 1.172 0.535 -0.535 221.8 4.417 -4.783 0.1556 0.02848 0.6024 -0.4721 2.389 -1.331 0.2337 -0.1566 -0.09065 0.01532 -0.9641 0.2483 4.299 -3.943 0.06021 -0.05822 0 0 0 0 -0.8825 0.8229 -1.43 1.511 0 0 0 0 0.1909 -0.3196 0 0 0 0 0.009596 -0.194 -0.02028 0.004792 -0.01541 0 -0.009388 0.009966 0 0 0 0 999 -999 2.6 0.672353 1 +1 1.0 1.5 74 84 32992.3 1.172 0.535 -0.535 221.8 4.417 -4.783 0.1556 0.02848 0.6024 -0.4721 2.389 -1.331 0.2337 -0.1566 -0.09065 0.01532 -0.9641 0.2483 4.299 -3.943 0.06021 -0.05822 0 0 0 0 -0.8825 0.8229 -1.43 1.511 0 0 0 0 0.1909 -0.3196 0 0 0 0 0.009596 -0.194 -0.02028 0.004792 -0.01541 0 -0.009388 0.009966 0 0 0 0 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2.6 0.678228 1 +1 1.0 1.5 790 846 0.0138252 1.012 0.7644 -0.7644 0.0001243 0.6828 -0.7549 0.5094 -0.5622 0.8071 -0.8737 0.1977 -2.236 -0.4714 0.4908 0.5119 -0.4555 1.788 -1.436 0.2854 -0.01958 0.0524 -0.04869 0 0 0 0 0.6554 -0.4712 0.2831 -0.3457 0 0 0 0 0.608 -0.4855 0 0 0 0 0.06496 -0.09784 -0.1778 0.05791 -1.534 0.6493 -0.08233 0.08737 0 0 0 0 0.1998 -0.1595 2.6 0.899153 1 +1 1.0 1.5 846 905 0.00739449 1.013 0.7682 -0.7682 8.845e-05 0.696 -0.7663 0.6127 -0.6063 0.8992 -0.9037 0.4754 -2.388 -0.5216 0.6024 0.5901 -0.5053 2.256 -1.653 0.1506 0.17 0.05182 -0.04798 0 0 0 0 0.782 -0.5374 0.3392 -0.4098 0 0 0 0 0.6538 -0.4979 0 0 0 0 0.06868 -0.09591 -0.1893 0.06225 -1.754 0.9332 -0.0877 0.09307 0 0 0 0 0.2148 -0.1636 2.6 1.19615 1 +1 1.0 1.5 905 967 0.00374716 1.013 0.7717 -0.7717 6.14e-05 0.7219 -0.7912 0.7318 -0.6525 1.006 -0.9351 0.8817 -2.557 -0.5741 0.7278 0.675 -0.559 2.77 -1.889 0.017 0.3607 0.05121 -0.04723 0 0 0 0 0.9159 -0.6049 0.3947 -0.4735 0 0 0 0 0.7036 -0.5109 0 0 0 0 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0 1.364 -0.8146 0.5582 -0.6621 0 0 0 0 0.8797 -0.5536 0 0 0 0 0.08501 -0.08885 -0.2413 0.08222 -2.931 3.758 -0.1117 0.1186 0 0 0 0 0.289 -0.1819 2.6 4.38556 1 +1 1.0 1.5 1172 1248 0.000217397 1.015 0.7824 -0.7824 1.333e-05 0.9569 -1.03 1.402 -0.8598 1.616 -1.076 4.368 -3.447 -0.8075 1.391 1.09 -0.8147 5.345 -3.043 -0.5055 1.132 0.04847 -0.04388 0 0 0 0 1.53 -0.887 0.6116 -0.7242 0 0 0 0 0.9483 -0.5691 0 0 0 0 0.08949 -0.08723 -0.2557 0.08789 -3.316 5.25 -0.1184 0.1257 0 0 0 0 0.3116 -0.187 2.6 6.13358 1 +1 1.0 1.5 1248 1327 0.00010393 1.015 0.7845 -0.7845 9.015e-06 1.05 -1.126 1.629 -0.9179 1.824 -1.116 5.895 -3.733 -0.8723 1.606 1.215 -0.8903 6.138 -3.391 -0.6341 1.327 0.0477 -0.04295 0 0 0 0 1.705 -0.961 0.6649 -0.7862 0 0 0 0 1.023 -0.5854 0 0 0 0 0.09415 -0.08566 -0.2709 0.09391 -3.747 7.314 -0.1255 0.1331 0 0 0 0 0.3361 -0.1924 2.6 8.67419 1 +1 1.0 1.5 1327 1410 4.55497e-05 1.015 0.7864 -0.7864 5.816e-06 1.157 -1.237 1.883 -0.9785 2.057 -1.157 7.767 -4.046 -0.9397 1.842 1.35 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18.06 -5.413 -1.2 2.883 1.904 -1.298 10.57 -5.304 -1.202 2.218 0.04379 -0.03816 0 0 0 0 2.62 -1.312 0.9002 -1.062 0 0 0 0 1.44 -0.6687 0 0 0 0 0.1174 -0.07915 -0.348 0.1252 -6.371 30.85 -0.1612 0.171 0 0 0 0 0.4731 -0.2197 2.6 67.5623 1 +0 1.0 1.5 1784 2116 8.6207e-08 1.016 0.7977 -0.7977 6.67e-08 2.135 -2.255 4.191 -1.408 4.182 -1.449 30.53 -6.706 -1.412 3.878 2.395 -1.583 13.79 -6.668 -1.516 2.727 0.04121 -0.03502 0 0 0 0 3.234 -1.523 1.03 -1.216 0 0 0 0 1.745 -0.7233 0 0 0 0 0.1322 -0.07585 -0.3984 0.1462 -8.484 67.08 -0.1845 0.1958 0 0 0 0 0.5734 -0.2376 2.6 77.375 1 +0 1.0 1.5 2116 2500 1.1692e-07 1.09 0.4575 -0.4575 1.367e-07 1.13 -1.399 1.087 -1.994 1.056 -1.98 2.601 -12.43 -2.148 1.184 1.208 -2.87 3.169 -9.066 -4.674 1.436 -0.0005186 -0.0005186 0 0 -0.0005186 -0.0005186 -4.882 0.8239 -0.0005186 -0.0005186 0 0 -0.0005186 -0.0005186 0.05616 -0.1136 0 0 -0.0005186 -0.0005186 0.0742 -0.1326 -0.2153 0.1895 -18.67 4.747 0 0 0 0 0 0 0.05616 -0.1136 2.6 116.909 1 diff --git a/buildmaster/CMS_1JET_8TEV/rawdata/CMS_8TeV_jets_Ybin3___CMS_8TeV_jets_Ybin3.dat b/buildmaster/CMS_1JET_8TEV/rawdata/CMS_8TeV_jets_Ybin3___CMS_8TeV_jets_Ybin3.dat new file mode 100644 index 0000000000..20c28a2142 --- /dev/null +++ b/buildmaster/CMS_1JET_8TEV/rawdata/CMS_8TeV_jets_Ybin3___CMS_8TeV_jets_Ybin3.dat @@ -0,0 +1,1313 @@ +! +! Statistical correlation matrix for rapidity bin 1.0 < |y| < 1.5 +! +&StatCorr + Name1 = 'CMS inclusive jets 8 TeV, 1.0 < |y| < 1.5' + Name2 = 'CMS inclusive jets 8 TeV, 1.0 < |y| < 1.5' + + NIdColumns1 = 2 + NIdColumns2 = 2 + + IdColumns1 = 'ylow', 'ptlow' + IdColumns2 = 'ylow', 'ptlow' + + NCorr = 1223 + + MatrixType = 'Statistical correlations' +&End + 1.0 74 1.0 74 1 + 1.0 74 1.0 84 0.6954 + 1.0 74 1.0 97 0.03934 + 1.0 74 1.0 114 -0.2615 + 1.0 74 1.0 133 -0.1964 + 1.0 74 1.0 153 0.1141 + 1.0 74 1.0 174 0.06087 + 1.0 74 1.0 196 0.001034 + 1.0 74 1.0 220 -0.02188 + 1.0 74 1.0 245 -0.009019 + 1.0 74 1.0 272 -0.001868 + 1.0 74 1.0 300 0.0001584 + 1.0 74 1.0 330 0.000234 + 1.0 74 1.0 362 7.368e-05 + 1.0 74 1.0 395 2.233e-05 + 1.0 74 1.0 430 2.566e-06 + 1.0 74 1.0 468 1.311e-07 + 1.0 74 1.0 507 -5.475e-08 + 1.0 74 1.0 548 -1.537e-08 + 1.0 74 1.0 592 -1.469e-09 + 1.0 74 1.0 638 1.343e-10 + 1.0 74 1.0 686 6.827e-11 + 1.0 74 1.0 737 1.364e-11 + 1.0 74 1.0 790 2.033e-12 + 1.0 74 1.0 846 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-4.167e-05 +* 1.0 1784 1.0 1032 -0.0002906 +* 1.0 1784 1.0 1101 -0.001321 +* 1.0 1784 1.0 1172 -0.00334 +* 1.0 1784 1.0 1248 0.008692 +* 1.0 1784 1.0 1327 0.1424 +* 1.0 1784 1.0 1410 0.4649 +* 1.0 1784 1.0 1497 0.05637 +* 1.0 1784 1.0 1588 -0.9997 +* 1.0 1784 1.0 1784 1 diff --git a/buildmaster/CMS_1JET_8TEV/rawdata/CMS_8TeV_jets_Ybin4.dat b/buildmaster/CMS_1JET_8TEV/rawdata/CMS_8TeV_jets_Ybin4.dat new file mode 100644 index 0000000000..fe2db6588f --- /dev/null +++ b/buildmaster/CMS_1JET_8TEV/rawdata/CMS_8TeV_jets_Ybin4.dat @@ -0,0 +1,85 @@ +! CMS 8 TeV jets, 19.71 fb-1 +! Data correspond to CMS Paper SMP-12-012 +! +! Separate data and theory files for each Y bin +! Central values and covariance matrices for each +! uncertainty source (including statistical +! correlations) are provided separately. +! +! Provided by Sanmay Ganguly on 30.03.15 +! Asymm uncertainties are given by Sanmay on 22.04.15 +! RelativeStatFSR is given by Sanmay on 02.06.15 +! New NP corrections and uncertainties are given by Salim on 06.06.15 +&Data + Name = 'CMS inclusive jets 8 TeV, 1.5 < |y| < 2.0' + Reaction = 'pp jets fastNLO' + + NDATA = 40 + NColumn = 63 + ColumnType = 'Flag','Bin', 'Bin', 'Bin', 'Bin', 'Sigma', 'Dummy', 'Error', 'Error', 'Error', 52*'Error', 'Error' + ColumnName = 'binFlag','ylow', 'yhigh', 'ptlow', 'pthigh', 'Sigma', 'NPCorr', 'npcorerr+', 'npcorerr-', 'ignore', 'Unfolding+', 'Unfolding-', 'AbsoluteStat+', 'AbsoluteStat-', 'AbsoluteScale+', 'AbsoluteScale-', 'AbsoluteMPFBias+', 'AbsoluteMPFBias-', 'Fragmentation+', 'Fragmentation-', 'SinglePionECAL+', 'SinglePionECAL-', 'SinglePionHCAL+', 'SinglePionHCAL-', 'FlavorQCD+', 'FlavorQCD-', 'RelativeJEREC1+', 'RelativeJEREC1-', 'RelativeJEREC2+', 'RelativeJEREC2-', 'RelativeJERHF+', 'RelativeJERHF-', 'RelativePtBB+', 'RelativePtBB-', 'RelativePtEC1+', 'RelativePtEC1-', 'RelativePtEC2+', 'RelativePtEC2-', 'RelativePtHF+', 'RelativePtHF-', 'RelativeFSR+', 'RelativeFSR-', 'RelativeStatEC2+', 'RelativeStatEC2-', 'RelativeStatHF+', 'RelativeStatHF-', 'PileUpDataMC+', 'PileUpDataMC-', 'PileUpPtRef+', 'PileUpPtRef-', 'PileUpPtBB+', 'PileUpPtBB-', 'PileUpPtEC1+', 'PileUpPtEC1-', 'PileUpPtEC2+', 'PileUpPtEC2-', 'PileUpPtHF+', 'PileUpPtHF-','RelativeStatFSR+','RelativeStatFSR-', 'Luminosity', 'stat', 'uncor' + NInfo = 4 + DataInfo = 8000., 1., -1., -1. + CInfo = 'sqrt(S)', 'PublicationUnits', 'MurDef', 'MufDef' + + IndexDataset = 205 +! TheoryInfoFile = 'datafiles/lhc/cms/jets/8TeV/fnl3332y3.tab' + TheoryType = 'expression' + TermName = 'F','K' + TermType = 'fastnlo','kfactor' + TheorExpr = 'K*F' + TermSource = 'datafiles/lhc/cms/jets/1609.05331/fnl3332y3.tab','datafiles/lhc/cms/jets/1609.05331/npcorr_Ybin4.dat' + Percent = True, True, False, 52*True, True +&End +&PlotDesc + PlotN = 1 + PlotDefColumn = 'ylow' + PlotDefValue = 1.25, 1.75 + PlotVarColumn = 'ptlow' + PlotOptions(1) = 'Title:CMS 8 TeV inclusive jets@XTitle:p_{T}^{jet} (GeV)@YTitle:d#sigma/dp_{T}^{jet} (pb/GeV)@Xmin:66.6@Xmax:1551@Ymin:1.74573e-07@Ymax:26730.4@YminR:0.5@YmaxR:1.5@Xlog@Ylog' +&End +* Flag ylow yhigh ptlow pthigh cross_sec npcorr npcorr_e+ npcorr_e- stat_abs Unfolding+ Unfoldingm AbsStat+ AbsStat- AbsScale+ AbsScale- AbsMPFB+ AbsMPFB- Fragm+ Fragm- SiPionE+ SiPionE- SiPionH+ SiPionH- FlavorQCD+ FlavorQCD- RelJEREC1+ RelJEREC1- RelJEREC2+ RelJEREC2- RelJERHF+ RelJERHF- RelPtBB+ RelPtBB- RelPtEC1+ RelPtEC1- RelPtEC2+ RelPtEC2- RelPtHF+ RelPtHF- RelFSR+ RelFSR- RelStaEC2+ RelStaEC2- RelStaHF+ RelStaHF- PU_DataMC+ PU_DataMC- PU_PtRef+ PU_PtRef- PU_PtBB+ PU_PtBB- PU_PtEC1+ PU_PtEC1- PU_PtEC2+ PU_PtEC2- PU_PtHF+ PU_PtHF- RelStaFSR+ RelStaFSR- lumi stat uncor +0 1.5 2.0 18 21 24300.4 1.162 0.7649 -0.7649 183.8 4.568 -5.004 -0.2188 -0.006139 0.3384 -0.5089 1.069 -0.4779 0.2564 -0.4809 -0.2049 0.0335 -0.2425 0.09376 4.328 -4.171 0.06531 -0.1042 0 0 -0.0002205 -0.0002205 -0.0002205 -0.0002205 -3.188 2.264 0 0 -0.0002205 -0.0002205 0.3574 -0.5116 0 0 -0.0002205 -0.0002205 0.001621 -0.001657 -0.003207 0.007164 0 0 -0.03057 0.02836 0 0 0 0 999 -999 2.6 0.756304 1 +0 1.5 2.0 21 24 24300.4 1.162 0.7649 -0.7649 183.8 4.568 -5.004 -0.2188 -0.006139 0.3384 -0.5089 1.069 -0.4779 0.2564 -0.4809 -0.2049 0.0335 -0.2425 0.09376 4.328 -4.171 0.06531 -0.1042 0 0 -0.0002205 -0.0002205 -0.0002205 -0.0002205 -3.188 2.264 0 0 -0.0002205 -0.0002205 0.3574 -0.5116 0 0 -0.0002205 -0.0002205 0.001621 -0.001657 -0.003207 0.007164 0 0 -0.03057 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-1.08 4.144 -3.154 -0.3927 0.6356 2.218 -0.7767 0 0 0.0002384 0.0002384 0.0002384 0.0002384 9.753 -22.66 0 0 0.0002384 0.0002384 1.774 -1.163 0 0 0.0002384 0.0002384 0.02023 -0.02074 -0.2649 0.08934 0 0 -3.076 3.993 0 0 0 0 0.5853 -0.3838 2.6 48.7328 1 +1 1.5 2.0 1248 1327 5.14021e-07 0.994 0.511 -0.511 3.925e-07 1.295 -1.373 1.889 -1.059 1.993 -1.377 4.49 -6.441 -1.117 1.953 2.452 -1.185 4.584 -3.458 -0.528 0.7902 2.607 -0.8206 0 0 0.0002623 0.0002623 0.0002623 0.0002623 10.77 -27.94 0 0 0.0002623 0.0002623 1.876 -1.206 0 0 0.0002623 0.0002623 0.02143 -0.02196 -0.2929 0.09462 0 0 -3.417 4.469 0 0 0 0 0.6189 -0.3978 2.6 76.3511 1 +1 1.5 2.0 1327 1410 1.9397e-07 0.992 0.5141 -0.5141 1.429e-07 1.471 -1.564 2.023 -1.126 2.099 -1.432 4.708 -6.822 -1.205 2.109 2.73 -1.296 5.055 -3.782 -0.6621 0.9441 3.058 -0.8664 0 0 0.000298 0.000298 0.000298 0.000298 11.85 -34.21 0 0 0.000298 0.000298 1.982 -1.25 0 0 0.000298 0.000298 0.02267 -0.02324 -0.3233 0.1001 0 0 -3.788 4.992 0 0 0 0 0.6542 -0.4125 2.6 73.688 1 +0 1.5 2.0 1410 1497 1.9397e-07 0.992 0.5141 -0.5141 1.429e-07 1.471 -1.564 2.023 -1.126 2.099 -1.432 4.708 -6.822 -1.205 2.109 2.73 -1.296 5.055 -3.782 -0.6621 0.9441 3.058 -0.8664 0 0 0.000298 0.000298 0.000298 0.000298 11.85 -34.21 0 0 0.000298 0.000298 1.982 -1.25 0 0 0.000298 0.000298 0.02267 -0.02324 -0.3233 0.1001 0 0 -3.788 4.992 0 0 0 0 0.6542 -0.4125 2.6 73.688 1 + diff --git a/buildmaster/CMS_1JET_8TEV/rawdata/CMS_8TeV_jets_Ybin4___CMS_8TeV_jets_Ybin4.dat b/buildmaster/CMS_1JET_8TEV/rawdata/CMS_8TeV_jets_Ybin4___CMS_8TeV_jets_Ybin4.dat new file mode 100644 index 0000000000..266c97bd5a --- /dev/null +++ b/buildmaster/CMS_1JET_8TEV/rawdata/CMS_8TeV_jets_Ybin4___CMS_8TeV_jets_Ybin4.dat @@ -0,0 +1,1041 @@ +! +! Statistical correlation matrix for rapidity bin 1.5 < |y| < 2.0 +! +&StatCorr + Name1 = 'CMS inclusive jets 8 TeV, 1.5 < |y| < 2.0' + Name2 = 'CMS inclusive jets 8 TeV, 1.5 < |y| < 2.0' + + NIdColumns1 = 2 + NIdColumns2 = 2 + + IdColumns1 = 'ylow', 'ptlow' + IdColumns2 = 'ylow', 'ptlow' + + NCorr = 841 + + MatrixType = 'Statistical correlations' +&End + 1.5 74 1.5 74 1 + 1.5 74 1.5 84 0.6626 + 1.5 74 1.5 97 -0.03331 + 1.5 74 1.5 114 -0.2366 + 1.5 74 1.5 133 -0.05761 + 1.5 74 1.5 153 0.1149 + 1.5 74 1.5 174 0.02147 + 1.5 74 1.5 196 -0.008486 + 1.5 74 1.5 220 -0.01327 + 1.5 74 1.5 245 -0.001375 + 1.5 74 1.5 272 0.0002958 + 1.5 74 1.5 300 0.0002368 + 1.5 74 1.5 330 3.568e-05 + 1.5 74 1.5 362 3.281e-06 + 1.5 74 1.5 395 3.997e-07 + 1.5 74 1.5 430 2.915e-08 + 1.5 74 1.5 468 3.715e-09 + 1.5 74 1.5 507 1.754e-09 + 1.5 74 1.5 548 1.601e-10 + 1.5 74 1.5 592 1.204e-11 + 1.5 74 1.5 638 6.389e-13 + 1.5 74 1.5 686 2.672e-14 + 1.5 74 1.5 737 8.614e-16 + 1.5 74 1.5 790 2.303e-17 + 1.5 74 1.5 846 4.846e-19 + 1.5 74 1.5 905 8.184e-21 + 1.5 74 1.5 967 2.871e-23 + 1.5 74 1.5 1032 1.917e-25 + 1.5 74 1.5 1101 7.645e-29 +* 1.5 74 1.5 1172 1.137e-31 +* 1.5 74 1.5 1248 9.37e-35 +* 1.5 74 1.5 1327 5.552e-36 + 1.5 84 1.5 74 0.6626 + 1.5 84 1.5 84 1 + 1.5 84 1.5 97 0.5547 + 1.5 84 1.5 114 -0.1761 + 1.5 84 1.5 133 -0.4179 + 1.5 84 1.5 153 0.06986 + 1.5 84 1.5 174 0.05628 + 1.5 84 1.5 196 0.003168 + 1.5 84 1.5 220 -0.01347 + 1.5 84 1.5 245 -0.004149 + 1.5 84 1.5 272 -0.0006042 + 1.5 84 1.5 300 -2.469e-05 + 1.5 84 1.5 330 6.604e-06 + 1.5 84 1.5 362 -9.142e-07 + 1.5 84 1.5 395 -9.52e-07 + 1.5 84 1.5 430 -1.507e-07 + 1.5 84 1.5 468 -1.232e-08 + 1.5 84 1.5 507 -1.427e-09 + 1.5 84 1.5 548 1.488e-10 + 1.5 84 1.5 592 2.58e-11 + 1.5 84 1.5 638 1.911e-12 + 1.5 84 1.5 686 9.808e-14 + 1.5 84 1.5 737 3.731e-15 + 1.5 84 1.5 790 1.155e-16 + 1.5 84 1.5 846 2.762e-18 + 1.5 84 1.5 905 5.2e-20 + 1.5 84 1.5 967 2.041e-22 + 1.5 84 1.5 1032 1.547e-24 + 1.5 84 1.5 1101 7.015e-28 +* 1.5 84 1.5 1172 1.156e-30 +* 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CMS 8 TeV jets, 19.71 fb-1 +! Data correspond to CMS Paper SMP-12-012 +! +! Separate data and theory files for each Y bin +! Central values and covariance matrices for each +! uncertainty source (including statistical +! correlations) are provided separately. +! +! Provided by Sanmay Ganguly on 30.03.15 +! Asymm uncertainties are given by Sanmay on 22.04.15 +! RelativeStatFSR is given by Sanmay on 02.06.15 +! New NP corrections and uncertainties are given by Salim on 06.06.15 +&Data + Name = 'CMS inclusive jets 8 TeV, 2.0 < |y| < 2.5' + Reaction = 'pp jets fastNLO' + + NDATA = 35 + NColumn = 63 + ColumnType = 'Flag','Bin', 'Bin', 'Bin', 'Bin', 'Sigma', 'Dummy', 'Error', 'Error', 'Error', 52*'Error', 'Error' + ColumnName = 'binFlag','ylow', 'yhigh', 'ptlow', 'pthigh', 'Sigma', 'NPCorr', 'npcorerr+', 'npcorerr-', 'ignore', 'Unfolding+', 'Unfolding-', 'AbsoluteStat+', 'AbsoluteStat-', 'AbsoluteScale+', 'AbsoluteScale-', 'AbsoluteMPFBias+', 'AbsoluteMPFBias-', 'Fragmentation+', 'Fragmentation-', 'SinglePionECAL+', 'SinglePionECAL-', 'SinglePionHCAL+', 'SinglePionHCAL-', 'FlavorQCD+', 'FlavorQCD-', 'RelativeJEREC1+', 'RelativeJEREC1-', 'RelativeJEREC2+', 'RelativeJEREC2-', 'RelativeJERHF+', 'RelativeJERHF-', 'RelativePtBB+', 'RelativePtBB-', 'RelativePtEC1+', 'RelativePtEC1-', 'RelativePtEC2+', 'RelativePtEC2-', 'RelativePtHF+', 'RelativePtHF-', 'RelativeFSR+', 'RelativeFSR-', 'RelativeStatEC2+', 'RelativeStatEC2-', 'RelativeStatHF+', 'RelativeStatHF-', 'PileUpDataMC+', 'PileUpDataMC-', 'PileUpPtRef+', 'PileUpPtRef-', 'PileUpPtBB+', 'PileUpPtBB-', 'PileUpPtEC1+', 'PileUpPtEC1-', 'PileUpPtEC2+', 'PileUpPtEC2-', 'PileUpPtHF+', 'PileUpPtHF-','RelativeStatFSR+','RelativeStatFSR-', 'Luminosity', 'stat', 'uncor' + NInfo = 4 + DataInfo = 8000., 1., -1., -1. + CInfo = 'sqrt(S)', 'PublicationUnits', 'MurDef', 'MufDef' + + IndexDataset = 206 +! TheoryInfoFile = 'datafiles/lhc/cms/jets/8TeV/fnl3332y4.tab' + TheoryType = 'expression' + TermName = 'F','K' + TermType = 'fastnlo','kfactor' + TheorExpr = 'K*F' + TermSource = 'datafiles/lhc/cms/jets/1609.05331/fnl3332y4.tab','datafiles/lhc/cms/jets/1609.05331/npcorr_Ybin5.dat' + Percent = True, True, False, 52*True, True +&End +&PlotDesc + PlotN = 1 + PlotDefColumn = 'ylow' + PlotDefValue = 1.75, 2.25 + PlotVarColumn = 'ptlow' + PlotOptions(1) = 'Title:CMS 8 TeV inclusive jets@XTitle:p_{T}^{jet} (GeV)@YTitle:d#sigma/dp_{T}^{jet} (pb/GeV)@Xmin:66.6@Xmax:995.5@Ymin:6.87075e-07@Ymax:20450.7@YminR:0.5@YmaxR:1.5@Xlog@Ylog' +&End +* Flag ylow yhigh ptlow pthigh cross_sec npcorr npcorr_e+ npcorr_e- stat_abs Unfolding+ Unfoldingm AbsStat+ AbsStat- AbsScale+ AbsScale- AbsMPFB+ AbsMPFB- Fragm+ Fragm- SiPionE+ SiPionE- SiPionH+ SiPionH- FlavorQCD+ FlavorQCD- RelJEREC1+ RelJEREC1- RelJEREC2+ RelJEREC2- RelJERHF+ RelJERHF- RelPtBB+ RelPtBB- RelPtEC1+ RelPtEC1- RelPtEC2+ RelPtEC2- RelPtHF+ RelPtHF- RelFSR+ RelFSR- RelStaEC2+ RelStaEC2- RelStaHF+ RelStaHF- PU_DataMC+ PU_DataMC- PU_PtRef+ PU_PtRef- PU_PtBB+ PU_PtBB- PU_PtEC1+ PU_PtEC1- PU_PtEC2+ PU_PtEC2- PU_PtHF+ PU_PtHF- RelStaFSR+ RelStaFSR- lumi stat uncor +0 2.0 2.5 18 21 18591.6 1.147 0.4183 -0.4183 164.9 4.374 -4.697 -0.03667 0.06801 0.472 -0.3682 0.179 -1.077 0.3805 -0.3482 -0.1408 0.1711 -0.3231 0.3532 4.269 -4.094 0.09986 -0.09772 0.2862 -0.2758 -6.557e-05 -6.557e-05 -6.557e-05 -6.557e-05 -1.369 2.08 -1.465 1.517 -6.557e-05 -6.557e-05 0.621 -0.5188 0.5079 -0.4803 -6.557e-05 -6.557e-05 0.2252 -0.0148 0.009227 0.0049 0 0 1.138 -0.007707 0.0126 -0.01072 0 0 999 -999 2.6 0.886888 1 +0 2.0 2.5 21 24 18591.6 1.147 0.4183 -0.4183 164.9 4.374 -4.697 -0.03667 0.06801 0.472 -0.3682 0.179 -1.077 0.3805 -0.3482 -0.1408 0.1711 -0.3231 0.3532 4.269 -4.094 0.09986 -0.09772 0.2862 -0.2758 -6.557e-05 -6.557e-05 -6.557e-05 -6.557e-05 -1.369 2.08 -1.465 1.517 -6.557e-05 -6.557e-05 0.621 -0.5188 0.5079 -0.4803 -6.557e-05 -6.557e-05 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-0.6551 2.6 2.3717 1 +1 2.0 2.5 507 548 0.0203303 1.015 0.416 -0.416 0.0001707 0.7271 -0.8149 0.5456 -0.5798 1.211 -1.334 4.741 -3.043 -0.4795 0.4393 0.3802 -0.4191 1.236 -1.237 1.751 -1.739 0.8946 -0.9167 0.05622 -0.05194 1.192e-05 1.192e-05 1.192e-05 1.192e-05 1.929 -1.793 0.2329 -0.2277 1.192e-05 1.192e-05 1.399 -1.544 0.1572 -0.1394 1.192e-05 1.192e-05 0.1211 -0.0851 0.03136 0.02815 0 0 0.1328 -0.04432 0.05199 -0.06166 0 0 0.6297 -0.6947 2.6 0.83967 1 +1 2.0 2.5 548 592 0.00714364 1.013 0.4298 -0.4298 9.759e-05 0.7934 -0.888 0.5985 -0.6386 1.279 -1.422 5.156 -3.222 -0.5577 0.5108 0.4656 -0.5176 1.477 -1.486 1.596 -1.62 0.9667 -1.02 0.04683 -0.0428 2.384e-05 2.384e-05 2.384e-05 2.384e-05 2.912 -2.145 0.3022 -0.2989 2.384e-05 2.384e-05 1.47 -1.637 0.1429 -0.1255 2.384e-05 2.384e-05 0.1181 -0.0914 0.03296 0.03023 0 0 0.1216 -0.04761 0.05507 -0.06623 0 0 0.6615 -0.7366 2.6 1.36617 1 +1 2.0 2.5 592 638 0.00232984 1.011 0.4424 -0.4424 5.448e-05 0.8871 -0.9906 0.6543 -0.7006 1.349 -1.514 5.593 -3.41 -0.64 0.5863 0.56 -0.6267 1.741 -1.761 1.439 -1.501 1.043 -1.134 0.03762 -0.03384 2.384e-05 2.384e-05 2.384e-05 2.384e-05 4.161 -2.516 0.3702 -0.3688 2.384e-05 2.384e-05 1.545 -1.735 0.1289 -0.1118 2.384e-05 2.384e-05 0.1152 -0.09803 0.03462 0.03241 0 0 0.1116 -0.05106 0.05829 -0.07102 0 0 0.695 -0.7807 2.6 2.33831 1 +1 2.0 2.5 638 686 0.000693809 1.009 0.4537 -0.4537 2.905e-05 1.007 -1.121 0.7123 -0.7652 1.423 -1.61 6.047 -3.606 -0.7257 0.6647 0.6626 -0.7454 2.028 -2.058 1.284 -1.384 1.122 -1.257 0.02871 -0.02516 3.576e-05 3.576e-05 3.576e-05 3.576e-05 5.717 -2.901 0.436 -0.4364 3.576e-05 3.576e-05 1.622 -1.837 0.1153 -0.0986 3.576e-05 3.576e-05 0.1125 -0.1049 0.0363 0.03469 0 0 0.1027 -0.05464 0.06158 -0.07601 0 0 0.7299 -0.8266 2.6 4.18763 1 +1 2.0 2.5 686 737 0.000181803 1.008 0.4641 -0.4641 1.44e-05 1.154 -1.281 0.7731 -0.8328 1.5 -1.711 6.523 -3.812 -0.8155 0.7469 0.7749 -0.8753 2.341 -2.383 1.128 -1.268 1.205 -1.391 0.01997 -0.01666 4.768e-05 4.768e-05 4.768e-05 4.768e-05 7.664 -3.305 0.5005 -0.5027 4.768e-05 4.768e-05 1.703 -1.944 0.1019 -0.08565 4.768e-05 4.768e-05 0.1098 -0.1121 0.03803 0.03707 0 0 0.09464 -0.05839 0.06499 -0.08124 0 0 0.7664 -0.8748 2.6 7.91797 1 +1 2.0 2.5 737 790 4.30022e-05 1.005 0.4736 -0.4736 6.828e-06 1.329 -1.471 0.8367 -0.9036 1.581 -1.817 7.021 -4.027 -0.9094 0.833 0.8971 -1.017 2.681 -2.736 0.9728 -1.153 1.292 -1.535 0.01142 -0.008345 4.768e-05 4.768e-05 4.768e-05 4.768e-05 10.08 -3.728 0.5636 -0.5675 4.768e-05 4.768e-05 1.788 -2.056 0.08889 -0.07299 4.768e-05 4.768e-05 0.1073 -0.1196 0.03979 0.03957 0 0 0.08738 -0.06231 0.0685 -0.08669 0 0 0.8047 -0.9251 2.6 15.8771 1 +1 2.0 2.5 790 846 5.83016e-06 1.003 0.4825 -0.4825 2.424e-06 1.53 -1.689 0.9031 -0.9774 1.665 -1.927 7.542 -4.251 -1.007 0.9228 1.029 -1.17 3.048 -3.117 0.8174 -1.04 1.382 -1.692 0.003064 -0.0002146 5.96e-05 5.96e-05 5.96e-05 5.96e-05 13.07 -4.169 0.6253 -0.6309 5.96e-05 5.96e-05 1.877 -2.173 0.07616 -0.06061 5.96e-05 5.96e-05 0.1049 -0.1275 0.0416 0.04216 0 0 0.08082 -0.0664 0.07212 -0.09237 0 0 0.8446 -0.9777 2.6 41.5761 1 +1 2.0 2.5 846 905 7.63417e-07 1.002 0.4899 -0.4899 8.398e-07 1.761 -1.939 0.9728 -1.055 1.754 -2.042 8.088 -4.486 -1.111 1.017 1.174 -1.337 3.447 -3.532 0.6611 -0.9259 1.477 -1.862 -0.005162 0.007796 7.153e-05 7.153e-05 7.153e-05 7.153e-05 16.78 -4.633 0.6861 -0.6933 7.153e-05 7.153e-05 1.97 -2.295 0.06361 -0.04841 7.153e-05 7.153e-05 0.1026 -0.1357 0.04346 0.04488 0 0 0.07484 -0.07069 0.07586 -0.09834 0 0 0.8865 -1.033 2.6 110 1 +0 2.0 2.5 905 967 7.63417e-07 1.002 0.4899 -0.4899 8.398e-07 1.761 -1.939 0.9728 -1.055 1.754 -2.042 8.088 -4.486 -1.111 1.017 1.174 -1.337 3.447 -3.532 0.6611 -0.9259 1.477 -1.862 -0.005162 0.007796 7.153e-05 7.153e-05 7.153e-05 7.153e-05 16.78 -4.633 0.6861 -0.6933 7.153e-05 7.153e-05 1.97 -2.295 0.06361 -0.04841 7.153e-05 7.153e-05 0.1026 -0.1357 0.04346 0.04488 0 0 0.07484 -0.07069 0.07586 -0.09834 0 0 0.8865 -1.033 2.6 110 1 diff --git a/buildmaster/CMS_1JET_8TEV/rawdata/CMS_8TeV_jets_Ybin5___CMS_8TeV_jets_Ybin5.dat b/buildmaster/CMS_1JET_8TEV/rawdata/CMS_8TeV_jets_Ybin5___CMS_8TeV_jets_Ybin5.dat new file mode 100644 index 0000000000..6d3419e395 --- /dev/null +++ b/buildmaster/CMS_1JET_8TEV/rawdata/CMS_8TeV_jets_Ybin5___CMS_8TeV_jets_Ybin5.dat @@ -0,0 +1,642 @@ +! +! Statistical correlation matrix for rapidity bin 2.0 < |y| < 2.5 +! +&StatCorr + Name1 = 'CMS inclusive jets 8 TeV, 2.0 < |y| < 2.5' + Name2 = 'CMS inclusive jets 8 TeV, 2.0 < |y| < 2.5' + + NIdColumns1 = 2 + NIdColumns2 = 2 + + IdColumns1 = 'ylow', 'ptlow' + IdColumns2 = 'ylow', 'ptlow' + + NCorr = 576 + + MatrixType = 'Statistical correlations' +&End + 2.0 74 2.0 74 1 + 2.0 74 2.0 84 0.6679 + 2.0 74 2.0 97 -0.02789 + 2.0 74 2.0 114 -0.2374 + 2.0 74 2.0 133 -0.05922 + 2.0 74 2.0 153 0.1139 + 2.0 74 2.0 174 0.0198 + 2.0 74 2.0 196 -0.008223 + 2.0 74 2.0 220 -0.01231 + 2.0 74 2.0 245 -0.00115 + 2.0 74 2.0 272 0.0002787 + 2.0 74 2.0 300 0.0001963 + 2.0 74 2.0 330 2.659e-05 + 2.0 74 2.0 362 2.163e-06 + 2.0 74 2.0 395 2.343e-07 + 2.0 74 2.0 430 1.743e-08 + 2.0 74 2.0 468 2.297e-09 + 2.0 74 2.0 507 9.887e-10 + 2.0 74 2.0 548 8.132e-11 + 2.0 74 2.0 592 5.113e-12 + 2.0 74 2.0 638 2.254e-13 + 2.0 74 2.0 686 3.591e-15 + 2.0 74 2.0 737 3.209e-17 + 2.0 74 2.0 790 4.83e-20 +* 2.0 74 2.0 846 1.172e-22 + 2.0 84 2.0 74 0.6679 + 2.0 84 2.0 84 1 + 2.0 84 2.0 97 0.5555 + 2.0 84 2.0 114 -0.1684 + 2.0 84 2.0 133 -0.4141 + 2.0 84 2.0 153 0.06681 + 2.0 84 2.0 174 0.05352 + 2.0 84 2.0 196 0.003038 + 2.0 84 2.0 220 -0.01261 + 2.0 84 2.0 245 -0.003745 + 2.0 84 2.0 272 -0.0005139 + 2.0 84 2.0 300 -2.674e-05 + 2.0 84 2.0 330 2.599e-06 + 2.0 84 2.0 362 -1.169e-06 + 2.0 84 2.0 395 -7.466e-07 + 2.0 84 2.0 430 -9.932e-08 + 2.0 84 2.0 468 -6.985e-09 + 2.0 84 2.0 507 -5.295e-10 + 2.0 84 2.0 548 9.271e-11 + 2.0 84 2.0 592 1.182e-11 + 2.0 84 2.0 638 7.062e-13 + 2.0 84 2.0 686 1.356e-14 + 2.0 84 2.0 737 1.417e-16 + 2.0 84 2.0 790 2.454e-19 +* 2.0 84 2.0 846 6.711e-22 + 2.0 97 2.0 74 -0.02789 + 2.0 97 2.0 84 0.5555 + 2.0 97 2.0 97 1 + 2.0 97 2.0 114 0.5308 + 2.0 97 2.0 133 -0.4019 + 2.0 97 2.0 153 -0.3223 + 2.0 97 2.0 174 0.04185 + 2.0 97 2.0 196 0.04695 + 2.0 97 2.0 220 0.02022 + 2.0 97 2.0 245 -0.008502 + 2.0 97 2.0 272 -0.004182 + 2.0 97 2.0 300 -0.001536 + 2.0 97 2.0 330 -0.0001852 + 2.0 97 2.0 362 -2.179e-05 + 2.0 97 2.0 395 -5.357e-06 + 2.0 97 2.0 430 -6.155e-07 + 2.0 97 2.0 468 -5.056e-08 + 2.0 97 2.0 507 -8.519e-09 + 2.0 97 2.0 548 1.093e-10 + 2.0 97 2.0 592 4.879e-11 + 2.0 97 2.0 638 3.806e-12 + 2.0 97 2.0 686 8.88e-14 + 2.0 97 2.0 737 1.12e-15 + 2.0 97 2.0 790 2.301e-18 +* 2.0 97 2.0 846 7.293e-21 + 2.0 114 2.0 74 -0.2374 + 2.0 114 2.0 84 -0.1684 + 2.0 114 2.0 97 0.5308 + 2.0 114 2.0 114 1 + 2.0 114 2.0 133 0.2112 + 2.0 114 2.0 153 -0.5927 + 2.0 114 2.0 174 -0.04367 + 2.0 114 2.0 196 0.06976 + 2.0 114 2.0 220 0.06054 + 2.0 114 2.0 245 -0.008411 + 2.0 114 2.0 272 -0.006846 + 2.0 114 2.0 300 -0.002636 + 2.0 114 2.0 330 -0.0002562 + 2.0 114 2.0 362 -1.859e-05 + 2.0 114 2.0 395 -4.861e-06 + 2.0 114 2.0 430 -8.634e-07 + 2.0 114 2.0 468 -9.505e-08 + 2.0 114 2.0 507 -1.728e-08 + 2.0 114 2.0 548 8.75e-10 + 2.0 114 2.0 592 2.42e-10 + 2.0 114 2.0 638 2.231e-11 + 2.0 114 2.0 686 6.391e-13 + 2.0 114 2.0 737 9.831e-15 + 2.0 114 2.0 790 2.387e-17 +* 2.0 114 2.0 846 8.759e-20 + 2.0 133 2.0 74 -0.05922 + 2.0 133 2.0 84 -0.4141 + 2.0 133 2.0 97 -0.4019 + 2.0 133 2.0 114 0.2112 + 2.0 133 2.0 133 1 + 2.0 133 2.0 153 0.128 + 2.0 133 2.0 174 -0.2538 + 2.0 133 2.0 196 -0.07107 + 2.0 133 2.0 220 0.1193 + 2.0 133 2.0 245 0.03757 + 2.0 133 2.0 272 -0.007237 + 2.0 133 2.0 300 -0.00851 + 2.0 133 2.0 330 -0.0007481 + 2.0 133 2.0 362 0.0002222 + 2.0 133 2.0 395 0.0001382 + 2.0 133 2.0 430 1.91e-05 + 2.0 133 2.0 468 1.557e-06 + 2.0 133 2.0 507 3.195e-07 + 2.0 133 2.0 548 2.183e-08 + 2.0 133 2.0 592 3.404e-09 + 2.0 133 2.0 638 4.148e-10 + 2.0 133 2.0 686 1.556e-11 + 2.0 133 2.0 737 2.966e-13 + 2.0 133 2.0 790 8.556e-16 +* 2.0 133 2.0 846 3.715e-18 + 2.0 153 2.0 74 0.1139 + 2.0 153 2.0 84 0.06681 + 2.0 153 2.0 97 -0.3223 + 2.0 153 2.0 114 -0.5927 + 2.0 153 2.0 133 0.128 + 2.0 153 2.0 153 1 + 2.0 153 2.0 174 0.276 + 2.0 153 2.0 196 -0.2558 + 2.0 153 2.0 220 -0.2296 + 2.0 153 2.0 245 0.1151 + 2.0 153 2.0 272 0.02953 + 2.0 153 2.0 300 -0.01186 + 2.0 153 2.0 330 -0.004906 + 2.0 153 2.0 362 -0.0003143 + 2.0 153 2.0 395 0.0002027 + 2.0 153 2.0 430 4.903e-05 + 2.0 153 2.0 468 4.508e-06 + 2.0 153 2.0 507 4.083e-07 + 2.0 153 2.0 548 -3.492e-08 + 2.0 153 2.0 592 4.175e-09 + 2.0 153 2.0 638 1.581e-09 + 2.0 153 2.0 686 8.416e-11 + 2.0 153 2.0 737 2.003e-12 + 2.0 153 2.0 790 6.97e-15 +* 2.0 153 2.0 846 3.688e-17 + 2.0 174 2.0 74 0.0198 + 2.0 174 2.0 84 0.05352 + 2.0 174 2.0 97 0.04185 + 2.0 174 2.0 114 -0.04367 + 2.0 174 2.0 133 -0.2538 + 2.0 174 2.0 153 0.276 + 2.0 174 2.0 174 1 + 2.0 174 2.0 196 0.3784 + 2.0 174 2.0 220 -0.5117 + 2.0 174 2.0 245 -0.2071 + 2.0 174 2.0 272 0.06805 + 2.0 174 2.0 300 0.06159 + 2.0 174 2.0 330 -0.0001087 + 2.0 174 2.0 362 -0.003827 + 2.0 174 2.0 395 -0.001826 + 2.0 174 2.0 430 -0.0002488 + 2.0 174 2.0 468 -2.572e-05 + 2.0 174 2.0 507 -9.536e-06 + 2.0 174 2.0 548 -7.964e-07 + 2.0 174 2.0 592 -2.609e-08 + 2.0 174 2.0 638 4.941e-09 + 2.0 174 2.0 686 4.122e-10 + 2.0 174 2.0 737 1.294e-11 + 2.0 174 2.0 790 5.754e-14 +* 2.0 174 2.0 846 3.853e-16 + 2.0 196 2.0 74 -0.008223 + 2.0 196 2.0 84 0.003038 + 2.0 196 2.0 97 0.04695 + 2.0 196 2.0 114 0.06976 + 2.0 196 2.0 133 -0.07107 + 2.0 196 2.0 153 -0.2558 + 2.0 196 2.0 174 0.3784 + 2.0 196 2.0 196 1 + 2.0 196 2.0 220 0.1651 + 2.0 196 2.0 245 -0.5984 + 2.0 196 2.0 272 -0.001385 + 2.0 196 2.0 300 0.1319 + 2.0 196 2.0 330 0.01735 + 2.0 196 2.0 362 -0.005504 + 2.0 196 2.0 395 -0.00403 + 2.0 196 2.0 430 -0.0005782 + 2.0 196 2.0 468 -4.075e-05 + 2.0 196 2.0 507 -5.098e-06 + 2.0 196 2.0 548 -4.986e-07 + 2.0 196 2.0 592 -1.015e-07 + 2.0 196 2.0 638 -1.103e-09 + 2.0 196 2.0 686 9.249e-10 + 2.0 196 2.0 737 5.535e-11 + 2.0 196 2.0 790 3.574e-13 +* 2.0 196 2.0 846 3.111e-15 + 2.0 220 2.0 74 -0.01231 + 2.0 220 2.0 84 -0.01261 + 2.0 220 2.0 97 0.02022 + 2.0 220 2.0 114 0.06054 + 2.0 220 2.0 133 0.1193 + 2.0 220 2.0 153 -0.2296 + 2.0 220 2.0 174 -0.5117 + 2.0 220 2.0 196 0.1651 + 2.0 220 2.0 220 1 + 2.0 220 2.0 245 0.09597 + 2.0 220 2.0 272 -0.2537 + 2.0 220 2.0 300 -0.06263 + 2.0 220 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2.0 196 -1.103e-09 + 2.0 638 2.0 220 -4.945e-07 + 2.0 638 2.0 245 -2.417e-06 + 2.0 638 2.0 272 1.967e-06 + 2.0 638 2.0 300 7.331e-05 + 2.0 638 2.0 330 -3.779e-05 + 2.0 638 2.0 362 -0.0007865 + 2.0 638 2.0 395 -0.0047 + 2.0 638 2.0 430 0.006408 + 2.0 638 2.0 468 0.03015 + 2.0 638 2.0 507 -0.006188 + 2.0 638 2.0 548 -0.2055 + 2.0 638 2.0 592 0.168 + 2.0 638 2.0 638 1 + 2.0 638 2.0 686 0.2996 + 2.0 638 2.0 737 -0.2744 + 2.0 638 2.0 790 -0.2475 +* 2.0 638 2.0 846 0.2475 + 2.0 686 2.0 74 3.591e-15 + 2.0 686 2.0 84 1.356e-14 + 2.0 686 2.0 97 8.88e-14 + 2.0 686 2.0 114 6.391e-13 + 2.0 686 2.0 133 1.556e-11 + 2.0 686 2.0 153 8.416e-11 + 2.0 686 2.0 174 4.122e-10 + 2.0 686 2.0 196 9.249e-10 + 2.0 686 2.0 220 -9.965e-09 + 2.0 686 2.0 245 -9.475e-08 + 2.0 686 2.0 272 -1.192e-07 + 2.0 686 2.0 300 1.548e-06 + 2.0 686 2.0 330 -5.429e-07 + 2.0 686 2.0 362 -4.904e-06 + 2.0 686 2.0 395 -0.0002045 + 2.0 686 2.0 430 -0.0005788 + 2.0 686 2.0 468 -4.577e-05 + 2.0 686 2.0 507 0.008677 + 2.0 686 2.0 548 -0.006692 + 2.0 686 2.0 592 -0.1023 + 2.0 686 2.0 638 0.2996 + 2.0 686 2.0 686 1 + 2.0 686 2.0 737 -0.8869 + 2.0 686 2.0 790 -0.907 +* 2.0 686 2.0 846 0.9062 + 2.0 737 2.0 74 3.209e-17 + 2.0 737 2.0 84 1.417e-16 + 2.0 737 2.0 97 1.12e-15 + 2.0 737 2.0 114 9.831e-15 + 2.0 737 2.0 133 2.966e-13 + 2.0 737 2.0 153 2.003e-12 + 2.0 737 2.0 174 1.294e-11 + 2.0 737 2.0 196 5.535e-11 + 2.0 737 2.0 220 5.521e-10 + 2.0 737 2.0 245 4.743e-10 + 2.0 737 2.0 272 -4.576e-09 + 2.0 737 2.0 300 -1.004e-07 + 2.0 737 2.0 330 -4.095e-07 + 2.0 737 2.0 362 1.314e-06 + 2.0 737 2.0 395 9.881e-06 + 2.0 737 2.0 430 -5.952e-05 + 2.0 737 2.0 468 -0.0001652 + 2.0 737 2.0 507 0.0005729 + 2.0 737 2.0 548 0.008366 + 2.0 737 2.0 592 0.01443 + 2.0 737 2.0 638 -0.2744 + 2.0 737 2.0 686 -0.8869 + 2.0 737 2.0 737 1 + 2.0 737 2.0 790 0.9898 +* 2.0 737 2.0 846 -0.9895 + 2.0 790 2.0 74 4.83e-20 + 2.0 790 2.0 84 2.454e-19 + 2.0 790 2.0 97 2.301e-18 + 2.0 790 2.0 114 2.387e-17 + 2.0 790 2.0 133 8.556e-16 + 2.0 790 2.0 153 6.97e-15 + 2.0 790 2.0 174 5.754e-14 + 2.0 790 2.0 196 3.574e-13 + 2.0 790 2.0 220 6.621e-12 + 2.0 790 2.0 245 2.272e-11 + 2.0 790 2.0 272 1.017e-11 + 2.0 790 2.0 300 -1.163e-09 + 2.0 790 2.0 330 -5.378e-09 + 2.0 790 2.0 362 9.743e-09 + 2.0 790 2.0 395 1.777e-07 + 2.0 790 2.0 430 1.365e-07 + 2.0 790 2.0 468 1.005e-05 + 2.0 790 2.0 507 0.0006019 + 2.0 790 2.0 548 0.005461 + 2.0 790 2.0 592 0.01481 + 2.0 790 2.0 638 -0.2475 + 2.0 790 2.0 686 -0.907 + 2.0 790 2.0 737 0.9898 + 2.0 790 2.0 790 1 +* 2.0 790 2.0 846 -0.9999 +* 2.0 846 2.0 74 1.172e-22 +* 2.0 846 2.0 84 6.711e-22 +* 2.0 846 2.0 97 7.293e-21 +* 2.0 846 2.0 114 8.759e-20 +* 2.0 846 2.0 133 3.715e-18 +* 2.0 846 2.0 153 3.688e-17 +* 2.0 846 2.0 174 3.853e-16 +* 2.0 846 2.0 196 3.111e-15 +* 2.0 846 2.0 220 7.492e-14 +* 2.0 846 2.0 245 3.363e-13 +* 2.0 846 2.0 272 6.348e-13 +* 2.0 846 2.0 300 -1.121e-11 +* 2.0 846 2.0 330 -7.353e-11 +* 2.0 846 2.0 362 -2.438e-10 +* 2.0 846 2.0 395 -1.718e-08 +* 2.0 846 2.0 430 -5.504e-07 +* 2.0 846 2.0 468 -1.164e-05 +* 2.0 846 2.0 507 -0.0006122 +* 2.0 846 2.0 548 -0.005462 +* 2.0 846 2.0 592 -0.01462 +* 2.0 846 2.0 638 0.2475 +* 2.0 846 2.0 686 0.9062 +* 2.0 846 2.0 737 -0.9895 +* 2.0 846 2.0 790 -0.9999 +* 2.0 846 2.0 846 1 diff --git a/buildmaster/CMS_1JET_8TEV/rawdata/CMS_8TeV_jets_Ybin6.dat b/buildmaster/CMS_1JET_8TEV/rawdata/CMS_8TeV_jets_Ybin6.dat new file mode 100644 index 0000000000..8ff376e1c4 --- /dev/null +++ b/buildmaster/CMS_1JET_8TEV/rawdata/CMS_8TeV_jets_Ybin6.dat @@ -0,0 +1,71 @@ +! CMS 8 TeV jets, 19.71 fb-1 +! Data correspond to CMS Paper SMP-12-012 +! +! Separate data and theory files for each Y bin +! Central values and covariance matrices for each +! uncertainty source (including statistical +! correlations) are provided separately. +! +! Provided by Sanmay Ganguly on 30.03.15 +! Asymm uncertainties are given by Sanmay on 22.04.15 +! RelativeStatFSR is given by Sanmay on 02.06.15 +! New NP corrections and uncertainties are given by Salim on 06.06.15 +&Data + Name = 'CMS inclusive jets 8 TeV, 2.5 < |y| < 3.0' + Reaction = 'pp jets fastNLO' + + NDATA = 29 + NColumn = 63 + ColumnType = 'Flag','Bin', 'Bin', 'Bin', 'Bin', 'Sigma', 'Dummy', 'Error', 'Error', 'Error', 52*'Error', 'Error' + ColumnName = 'binFlag','ylow', 'yhigh', 'ptlow', 'pthigh', 'Sigma', 'NPCorr', 'npcorerr+', 'npcorerr-', 'ignore', 'Unfolding+', 'Unfolding-', 'AbsoluteStat+', 'AbsoluteStat-', 'AbsoluteScale+', 'AbsoluteScale-', 'AbsoluteMPFBias+', 'AbsoluteMPFBias-', 'Fragmentation+', 'Fragmentation-', 'SinglePionECAL+', 'SinglePionECAL-', 'SinglePionHCAL+', 'SinglePionHCAL-', 'FlavorQCD+', 'FlavorQCD-', 'RelativeJEREC1+', 'RelativeJEREC1-', 'RelativeJEREC2+', 'RelativeJEREC2-', 'RelativeJERHF+', 'RelativeJERHF-', 'RelativePtBB+', 'RelativePtBB-', 'RelativePtEC1+', 'RelativePtEC1-', 'RelativePtEC2+', 'RelativePtEC2-', 'RelativePtHF+', 'RelativePtHF-', 'RelativeFSR+', 'RelativeFSR-', 'RelativeStatEC2+', 'RelativeStatEC2-', 'RelativeStatHF+', 'RelativeStatHF-', 'PileUpDataMC+', 'PileUpDataMC-', 'PileUpPtRef+', 'PileUpPtRef-', 'PileUpPtBB+', 'PileUpPtBB-', 'PileUpPtEC1+', 'PileUpPtEC1-', 'PileUpPtEC2+', 'PileUpPtEC2-', 'PileUpPtHF+', 'PileUpPtHF-','RelativeStatFSR+','RelativeStatFSR-', 'Luminosity', 'stat', 'uncor' + NInfo = 4 + DataInfo = 8000., 1., -1., -1. + CInfo = 'sqrt(S)', 'PublicationUnits', 'MurDef', 'MufDef' + + IndexDataset = 207 +! TheoryInfoFile = 'datafiles/lhc/cms/jets/8TeV/fnl3332y5.tab' + TheoryType = 'expression' + TermName = 'F','K' + TermType = 'fastnlo','kfactor' + TheorExpr = 'K*F' + TermSource = 'datafiles/lhc/cms/jets/1609.05331/fnl3332y5.tab','datafiles/lhc/cms/jets/1609.05331/npcorr_Ybin6.dat' + Percent = True, True, False, 52*True, True +&End +&PlotDesc + PlotN = 1 + PlotDefColumn = 'ylow' + PlotDefValue = 2.25, 2.75 + PlotVarColumn = 'ptlow' + PlotOptions(1) = 'Title:CMS 8 TeV inclusive jets@XTitle:p_{T}^{jet} (GeV)@YTitle:d#sigma/dp_{T}^{jet} (pb/GeV)@Xmin:66.6@Xmax:602.8@Ymin:3.47798e-05@Ymax:13741.9@YminR:0.5@YmaxR:1.5@Xlog@Ylog' +&End +* Flag ylow yhigh ptlow pthigh cross_sec npcorr npcorr_e+ npcorr_e- stat_abs Unfolding+ Unfoldingm AbsStat+ AbsStat- AbsScale+ AbsScale- AbsMPFB+ AbsMPFB- Fragm+ Fragm- SiPionE+ SiPionE- SiPionH+ SiPionH- FlavorQCD+ FlavorQCD- RelJEREC1+ RelJEREC1- RelJEREC2+ RelJEREC2- RelJERHF+ RelJERHF- RelPtBB+ RelPtBB- RelPtEC1+ RelPtEC1- RelPtEC2+ RelPtEC2- RelPtHF+ RelPtHF- RelFSR+ RelFSR- RelStaEC2+ RelStaEC2- RelStaHF+ RelStaHF- PU_DataMC+ PU_DataMC- PU_PtRef+ PU_PtRef- PU_PtBB+ PU_PtBB- PU_PtEC1+ PU_PtEC1- PU_PtEC2+ PU_PtEC2- PU_PtHF+ PU_PtHF- RelStaFSR+ RelStaFSR- lumi stat uncor +0 2.5 3.0 18 21 12492.6 1.121 0.9858 -0.9858 147.2 6.21 -6.9 -0.009745 0.132 0.2721 -0.4146 1.593 -1.724 0.4726 -0.4122 -0.2946 0.3322 -0.8311 0.6144 4.744 -4.72 -0.0002623 -0.0002623 0.1908 -0.3352 0.4263 -0.3824 -0.0002623 -0.0002623 -0.0002623 -0.0002623 -5.894 6.539 0.06444 -0.03936 0.4891 -0.6122 2.232 -2.071 0.3096 -0.2781 0.4844 -0.1324 1.624 -1.527 0 0 0 0 0.9667 -0.8836 0.001395 -0.002158 999 -999 2.6 1.17827 1 +0 2.5 3.0 21 24 12492.6 1.121 0.9858 -0.9858 147.2 6.21 -6.9 -0.009745 0.132 0.2721 -0.4146 1.593 -1.724 0.4726 -0.4122 -0.2946 0.3322 -0.8311 0.6144 4.744 -4.72 -0.0002623 -0.0002623 0.1908 -0.3352 0.4263 -0.3824 -0.0002623 -0.0002623 -0.0002623 -0.0002623 -5.894 6.539 0.06444 -0.03936 0.4891 -0.6122 2.232 -2.071 0.3096 -0.2781 0.4844 -0.1324 1.624 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0.000282 3.207 -3.337 0.395 -0.8303 2.038 -1.781 7.102 -6.929 -0.6176 0.3715 0.3723 -0.6971 2.074 -1.765 4.78 -4.946 0.0001788 0.0001788 3.27 -2.794 -0.09001 0.07083 0.0001788 0.0001788 0.0001788 0.0001788 7.139 -6.826 -0.001764 0.02072 3.226 -3.152 7.572 -6.858 -0.06226 0.05685 0.24 -0.6486 0.07706 -0.1324 0 0 0 0 0.7119 -1.025 0.006819 -0.01057 2.109 -2.06 2.6 14.1998 1 +1 2.5 3.0 468 507 0.000391317 1.013 0.6661 -0.6661 0.0001234 3.633 -3.743 0.4353 -0.9262 2.214 -1.917 8.516 -8.579 -0.7262 0.4496 0.5031 -0.8819 2.58 -2.171 4.967 -5.231 0.0002146 0.0002146 3.416 -2.91 -0.1414 0.1159 0.0002146 0.0002146 0.0002146 0.0002146 7.756 -7.459 -0.008351 0.0267 3.65 -3.651 7.825 -7.084 -0.09927 0.09017 0.2322 -0.6993 0.06671 -0.118 0 0 0 0 0.7017 -1.032 0.007355 -0.0114 2.386 -2.386 2.6 31.5353 1 +1 2.5 3.0 507 548 3.86442e-05 1.011 0.6504 -0.6504 8.907e-06 4.122 -4.208 0.4769 -1.025 2.396 -2.058 10.14 -10.5 -0.8385 0.5303 0.6465 -1.083 3.131 -2.611 5.163 -5.527 0.0002623 0.0002623 3.555 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+! Statistical correlation matrix for rapidity bin 2.5 < |y| < 3.0 +! +&StatCorr + Name1 = 'CMS inclusive jets 8 TeV, 2.5 < |y| < 3.0' + Name2 = 'CMS inclusive jets 8 TeV, 2.5 < |y| < 3.0' + + NIdColumns1 = 2 + NIdColumns2 = 2 + + IdColumns1 = 'ylow', 'ptlow' + IdColumns2 = 'ylow', 'ptlow' + + NCorr = 324 + + MatrixType = 'Statistical correlations' +&End + 2.5 74 2.5 74 1 + 2.5 74 2.5 84 0.6667 + 2.5 74 2.5 97 -0.02824 + 2.5 74 2.5 114 -0.2407 + 2.5 74 2.5 133 -0.07916 + 2.5 74 2.5 153 0.1111 + 2.5 74 2.5 174 0.02832 + 2.5 74 2.5 196 -0.006699 + 2.5 74 2.5 220 -0.01478 + 2.5 74 2.5 245 -0.002388 + 2.5 74 2.5 272 0.0001061 + 2.5 74 2.5 300 0.0002536 + 2.5 74 2.5 330 5.107e-05 + 2.5 74 2.5 362 6.308e-06 + 2.5 74 2.5 395 7.529e-07 + 2.5 74 2.5 430 6.091e-09 + 2.5 74 2.5 468 5.341e-10 + 2.5 74 2.5 507 1.152e-12 + 2.5 84 2.5 74 0.6667 + 2.5 84 2.5 84 1 + 2.5 84 2.5 97 0.5517 + 2.5 84 2.5 114 -0.1628 + 2.5 84 2.5 133 -0.4254 + 2.5 84 2.5 153 0.04539 + 2.5 84 2.5 174 0.05771 + 2.5 84 2.5 196 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b/buildmaster/CMS_1JET_8TEV/rawdata/npcorr_Ybin1.dat new file mode 100644 index 0000000000..d9582596ce --- /dev/null +++ b/buildmaster/CMS_1JET_8TEV/rawdata/npcorr_Ybin1.dat @@ -0,0 +1,47 @@ + 0.0 0.5 18 21 1.175 + 0.0 0.5 21 24 1.175 + 0.0 0.5 24 28 1.175 + 0.0 0.5 28 32 1.175 + 0.0 0.5 32 37 1.175 + 0.0 0.5 37 43 1.175 + 0.0 0.5 43 49 1.175 + 0.0 0.5 49 56 1.175 + 0.0 0.5 56 64 1.175 + 0.0 0.5 64 74 1.175 + 0.0 0.5 74 84 1.175 + 0.0 0.5 84 97 1.144 + 0.0 0.5 97 114 1.116 + 0.0 0.5 114 133 1.092 + 0.0 0.5 133 153 1.075 + 0.0 0.5 153 174 1.062 + 0.0 0.5 174 196 1.053 + 0.0 0.5 196 220 1.045 + 0.0 0.5 220 245 1.038 + 0.0 0.5 245 272 1.033 + 0.0 0.5 272 300 1.029 + 0.0 0.5 300 330 1.026 + 0.0 0.5 330 362 1.024 + 0.0 0.5 362 395 1.022 + 0.0 0.5 395 430 1.02 + 0.0 0.5 430 468 1.019 + 0.0 0.5 468 507 1.019 + 0.0 0.5 507 548 1.019 + 0.0 0.5 548 592 1.02 + 0.0 0.5 592 638 1.021 + 0.0 0.5 638 686 1.023 + 0.0 0.5 686 737 1.025 + 0.0 0.5 737 790 1.028 + 0.0 0.5 790 846 1.032 + 0.0 0.5 846 905 1.035 + 0.0 0.5 905 967 1.04 + 0.0 0.5 967 1032 1.045 + 0.0 0.5 1032 1101 1.051 + 0.0 0.5 1101 1172 1.057 + 0.0 0.5 1172 1248 1.063 + 0.0 0.5 1248 1327 1.07 + 0.0 0.5 1327 1410 1.078 + 0.0 0.5 1410 1497 1.086 + 0.0 0.5 1497 1588 1.094 + 0.0 0.5 1588 1784 1.105 + 0.0 0.5 1784 2116 1.126 + 0.0 0.5 2116 2500 1.157 diff --git a/buildmaster/CMS_1JET_8TEV/rawdata/npcorr_Ybin2.dat b/buildmaster/CMS_1JET_8TEV/rawdata/npcorr_Ybin2.dat new file mode 100644 index 0000000000..c4cf4e5401 --- /dev/null +++ b/buildmaster/CMS_1JET_8TEV/rawdata/npcorr_Ybin2.dat @@ -0,0 +1,47 @@ + 0.5 1.0 18 21 1.179 + 0.5 1.0 21 24 1.179 + 0.5 1.0 24 28 1.179 + 0.5 1.0 28 32 1.179 + 0.5 1.0 32 37 1.179 + 0.5 1.0 37 43 1.179 + 0.5 1.0 43 49 1.179 + 0.5 1.0 49 56 1.179 + 0.5 1.0 56 64 1.179 + 0.5 1.0 64 74 1.179 + 0.5 1.0 74 84 1.179 + 0.5 1.0 84 97 1.149 + 0.5 1.0 97 114 1.12 + 0.5 1.0 114 133 1.097 + 0.5 1.0 133 153 1.08 + 0.5 1.0 153 174 1.066 + 0.5 1.0 174 196 1.056 + 0.5 1.0 196 220 1.048 + 0.5 1.0 220 245 1.041 + 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1497 1588 1.016 + 1.0 1.5 1588 1784 1.017 + 1.0 1.5 1784 2116 1.016 \ No newline at end of file diff --git a/buildmaster/CMS_1JET_8TEV/rawdata/npcorr_Ybin4.dat b/buildmaster/CMS_1JET_8TEV/rawdata/npcorr_Ybin4.dat new file mode 100644 index 0000000000..69a3fdb863 --- /dev/null +++ b/buildmaster/CMS_1JET_8TEV/rawdata/npcorr_Ybin4.dat @@ -0,0 +1,42 @@ + 1.5 2.0 18 21 1.162 + 1.5 2.0 21 24 1.162 + 1.5 2.0 24 28 1.162 + 1.5 2.0 28 32 1.162 + 1.5 2.0 32 37 1.162 + 1.5 2.0 37 43 1.162 + 1.5 2.0 43 49 1.162 + 1.5 2.0 49 56 1.162 + 1.5 2.0 56 64 1.162 + 1.5 2.0 64 74 1.162 + 1.5 2.0 74 84 1.162 + 1.5 2.0 84 97 1.134 + 1.5 2.0 97 114 1.109 + 1.5 2.0 114 133 1.088 + 1.5 2.0 133 153 1.073 + 1.5 2.0 153 174 1.062 + 1.5 2.0 174 196 1.053 + 1.5 2.0 196 220 1.046 + 1.5 2.0 220 245 1.04 + 1.5 2.0 245 272 1.035 + 1.5 2.0 272 300 1.031 + 1.5 2.0 300 330 1.027 + 1.5 2.0 330 362 1.024 + 1.5 2.0 362 395 1.022 + 1.5 2.0 395 430 1.019 + 1.5 2.0 430 468 1.017 + 1.5 2.0 468 507 1.015 + 1.5 2.0 507 548 1.013 + 1.5 2.0 548 592 1.012 + 1.5 2.0 592 638 1.01 + 1.5 2.0 638 686 1.009 + 1.5 2.0 686 737 1.008 + 1.5 2.0 737 790 1.006 + 1.5 2.0 790 846 1.005 + 1.5 2.0 846 905 1.004 + 1.5 2.0 905 967 1.003 + 1.5 2.0 967 1032 1.001 + 1.5 2.0 1032 1101 0.9996 + 1.5 2.0 1101 1172 0.9983 + 1.5 2.0 1172 1248 0.9973 + 1.5 2.0 1248 1327 0.994 + 1.5 2.0 1327 1410 0.992 \ No newline at end of file diff --git a/buildmaster/CMS_1JET_8TEV/rawdata/npcorr_Ybin5.dat b/buildmaster/CMS_1JET_8TEV/rawdata/npcorr_Ybin5.dat new file mode 100644 index 0000000000..b88e73a606 --- /dev/null +++ b/buildmaster/CMS_1JET_8TEV/rawdata/npcorr_Ybin5.dat @@ -0,0 +1,36 @@ + 2.0 2.5 18 21 1.147 + 2.0 2.5 21 24 1.147 + 2.0 2.5 24 28 1.147 + 2.0 2.5 28 32 1.147 + 2.0 2.5 32 37 1.147 + 2.0 2.5 37 43 1.147 + 2.0 2.5 43 49 1.147 + 2.0 2.5 49 56 1.147 + 2.0 2.5 56 64 1.147 + 2.0 2.5 64 74 1.147 + 2.0 2.5 74 84 1.147 + 2.0 2.5 84 97 1.123 + 2.0 2.5 97 114 1.101 + 2.0 2.5 114 133 1.083 + 2.0 2.5 133 153 1.07 + 2.0 2.5 153 174 1.061 + 2.0 2.5 174 196 1.053 + 2.0 2.5 196 220 1.047 + 2.0 2.5 220 245 1.041 + 2.0 2.5 245 272 1.037 + 2.0 2.5 272 300 1.033 + 2.0 2.5 300 330 1.03 + 2.0 2.5 330 362 1.027 + 2.0 2.5 362 395 1.024 + 2.0 2.5 395 430 1.022 + 2.0 2.5 430 468 1.02 + 2.0 2.5 468 507 1.017 + 2.0 2.5 507 548 1.015 + 2.0 2.5 548 592 1.013 + 2.0 2.5 592 638 1.011 + 2.0 2.5 638 686 1.009 + 2.0 2.5 686 737 1.008 + 2.0 2.5 737 790 1.005 + 2.0 2.5 790 846 1.003 + 2.0 2.5 846 905 1.002 + 2.0 2.5 905 967 1.002 diff --git a/buildmaster/CMS_1JET_8TEV/rawdata/npcorr_Ybin6.dat b/buildmaster/CMS_1JET_8TEV/rawdata/npcorr_Ybin6.dat new file mode 100644 index 0000000000..2e825a430f --- /dev/null +++ b/buildmaster/CMS_1JET_8TEV/rawdata/npcorr_Ybin6.dat @@ -0,0 +1,29 @@ + 2.5 3.0 18 21 1.121 + 2.5 3.0 21 24 1.121 + 2.5 3.0 24 28 1.121 + 2.5 3.0 28 32 1.121 + 2.5 3.0 32 37 1.121 + 2.5 3.0 37 43 1.121 + 2.5 3.0 43 49 1.121 + 2.5 3.0 49 56 1.121 + 2.5 3.0 56 64 1.121 + 2.5 3.0 64 74 1.121 + 2.5 3.0 74 84 1.121 + 2.5 3.0 84 97 1.101 + 2.5 3.0 97 114 1.083 + 2.5 3.0 114 133 1.069 + 2.5 3.0 133 153 1.058 + 2.5 3.0 153 174 1.05 + 2.5 3.0 174 196 1.044 + 2.5 3.0 196 220 1.039 + 2.5 3.0 220 245 1.034 + 2.5 3.0 245 272 1.031 + 2.5 3.0 272 300 1.028 + 2.5 3.0 300 330 1.025 + 2.5 3.0 330 362 1.022 + 2.5 3.0 362 395 1.02 + 2.5 3.0 395 430 1.018 + 2.5 3.0 430 468 1.015 + 2.5 3.0 468 507 1.013 + 2.5 3.0 507 548 1.011 + 2.5 3.0 548 592 1.011 From fecf9f0fcc922e0f7d37bdc4ec4920787bdf00e8 Mon Sep 17 00:00:00 2001 From: Mark Nestor Costantini Date: Thu, 13 Apr 2023 17:01:37 +0100 Subject: [PATCH 31/40] data central values --- buildmaster/CMS_1JET_8TEV/data.yaml | 240 ++++++++++++++++++++++++++++ 1 file changed, 240 insertions(+) create mode 100644 buildmaster/CMS_1JET_8TEV/data.yaml diff --git a/buildmaster/CMS_1JET_8TEV/data.yaml b/buildmaster/CMS_1JET_8TEV/data.yaml new file mode 100644 index 0000000000..ed9484c6e8 --- /dev/null +++ b/buildmaster/CMS_1JET_8TEV/data.yaml @@ -0,0 +1,240 @@ +data_central: +- 21840000.0 +- 10830000.0 +- 5235000.0 +- 2625000.0 +- 1214000.0 +- 548100.0 +- 311800.0 +- 166200.0 +- 82440.0 +- 37535.6 +- 18977.0 +- 8640.29 +- 3818.06 +- 1698.03 +- 822.768 +- 404.238 +- 207.541 +- 110.072 +- 61.9861 +- 34.0481 +- 19.1899 +- 11.0319 +- 6.45558 +- 3.76322 +- 2.23922 +- 1.32528 +- 0.794974 +- 0.488379 +- 0.295068 +- 0.17845 +- 0.108961 +- 0.0659701 +- 0.0398936 +- 0.0242738 +- 0.0146116 +- 0.00873753 +- 0.00511314 +- 0.00299693 +- 0.00175562 +- 0.00100885 +- 0.000610607 +- 0.000315407 +- 0.000183499 +- 7.20384e-05 +- 1.50941e-05 +- 7.229e-07 +- 21180000.0 +- 10620000.0 +- 5149000.0 +- 2538000.0 +- 1216000.0 +- 578800.0 +- 330000.0 +- 166800.0 +- 83970.0 +- 35943.3 +- 17772.2 +- 8101.54 +- 3589.34 +- 1568.04 +- 743.046 +- 382.184 +- 196.959 +- 101.552 +- 56.8289 +- 31.2766 +- 17.4299 +- 10.0154 +- 5.80261 +- 3.34189 +- 1.94795 +- 1.14367 +- 0.695364 +- 0.413665 +- 0.244963 +- 0.146384 +- 0.0874216 +- 0.0508882 +- 0.0303471 +- 0.0176874 +- 0.0102445 +- 0.00594397 +- 0.00338308 +- 0.00190764 +- 0.0010881 +- 0.000595922 +- 0.000306353 +- 0.000163541 +- 7.80437e-05 +- 2.37958e-05 +- 3.1624e-06 +- 1.169e-07 +- 18260000.0 +- 8942000.0 +- 4199000.0 +- 2035000.0 +- 967500.0 +- 439900.0 +- 234700.0 +- 119500.0 +- 62640.0 +- 32992.3 +- 16532.0 +- 7371.51 +- 3124.16 +- 1392.55 +- 658.827 +- 328.217 +- 165.071 +- 86.1106 +- 46.3453 +- 25.3669 +- 13.8534 +- 7.74978 +- 4.3665 +- 2.47015 +- 1.40211 +- 0.810461 +- 0.456356 +- 0.26026 +- 0.147183 +- 0.0826758 +- 0.0461163 +- 0.0256041 +- 0.0138252 +- 0.00739449 +- 0.00374716 +- 0.00199496 +- 0.00095181 +- 0.00045465 +- 0.000217397 +- 0.00010393 +- 4.55497e-05 +- 1.75488e-05 +- 5.8579e-06 +- 6.692e-07 +- 8.62e-08 +- 15970000.0 +- 7800000.0 +- 3690000.0 +- 1836000.0 +- 860300.0 +- 380100.0 +- 200800.0 +- 93110.0 +- 46110.0 +- 24300.4 +- 12464.5 +- 5424.6 +- 2346.84 +- 1028.46 +- 473.651 +- 232.865 +- 116.89 +- 59.3041 +- 30.932 +- 16.4024 +- 8.68794 +- 4.56543 +- 2.46626 +- 1.32288 +- 0.695727 +- 0.359265 +- 0.186647 +- 0.0939425 +- 0.0462971 +- 0.0223788 +- 0.0103459 +- 0.00468607 +- 0.00200615 +- 0.000803936 +- 0.00033261 +- 0.000100744 +- 3.76967e-05 +- 1.44612e-05 +- 3.5e-06 +- 5.14e-07 +- 1.94e-07 +- 12830000.0 +- 6459000.0 +- 3116000.0 +- 1481000.0 +- 681500.0 +- 306300.0 +- 138100.0 +- 65670.0 +- 42980.0 +- 18591.6 +- 9301.1 +- 4001.31 +- 1599.39 +- 699.955 +- 311.294 +- 144.63 +- 67.639 +- 32.5101 +- 15.4866 +- 7.42885 +- 3.46719 +- 1.60176 +- 0.73347 +- 0.315326 +- 0.133752 +- 0.0520284 +- 0.0203303 +- 0.00714364 +- 0.00232984 +- 0.000693809 +- 0.000181803 +- 4.30022e-05 +- 5.8302e-06 +- 7.634e-07 +- 9178000.0 +- 4412000.0 +- 2014000.0 +- 978300.0 +- 486400.0 +- 225100.0 +- 119600.0 +- 63170.0 +- 29320.0 +- 12492.6 +- 5885.76 +- 2481.03 +- 957.669 +- 370.346 +- 150.926 +- 61.5716 +- 24.5217 +- 9.31754 +- 3.57007 +- 1.26343 +- 0.424595 +- 0.137002 +- 0.038388 +- 0.00949764 +- 0.00198574 +- 0.000391317 +- 3.86442e-05 From 2ee1ae1ef03f17fdb0751a2d04b532d2988a613c Mon Sep 17 00:00:00 2001 From: Mark Nestor Costantini Date: Thu, 13 Apr 2023 17:02:13 +0100 Subject: [PATCH 32/40] added filter functions --- buildmaster/CMS_1JET_8TEV/filter.py | 49 + buildmaster/CMS_1JET_8TEV/filter_utils.py | 105 + buildmaster/CMS_1JET_8TEV/kinematics.yaml | 2869 +++++++++++++++++++++ 3 files changed, 3023 insertions(+) create mode 100644 buildmaster/CMS_1JET_8TEV/filter.py create mode 100644 buildmaster/CMS_1JET_8TEV/filter_utils.py create mode 100644 buildmaster/CMS_1JET_8TEV/kinematics.yaml diff --git a/buildmaster/CMS_1JET_8TEV/filter.py b/buildmaster/CMS_1JET_8TEV/filter.py new file mode 100644 index 0000000000..dfb08d26cf --- /dev/null +++ b/buildmaster/CMS_1JET_8TEV/filter.py @@ -0,0 +1,49 @@ +""" +Filter for CMS_1JET_8TEV + +Created on Apr 2023 + +@author: Mark N. Costantini +""" + +import yaml +from filter_utils import ( + get_data_values, get_kinematics + ) + + +def filter_CMS_1JET_8TEV_data_kinetic(): + """ + writes kinetic and data central values + to kinematics.yaml and data.yaml files + respectively + """ + + with open('metadata.yaml', 'r') as file: + metadata = yaml.safe_load(file) + + version = metadata['hepdata']['version'] + tables = metadata['hepdata']['tables'] + + # get kinematics from hepdata tables + kin = get_kinematics(tables,version) + + # get central values from hepdata tables + data_central = get_data_values(tables,version) + + data_central_yaml = { 'data_central' : data_central } + kinematics_yaml = { 'bins' : kin } + + # write central values and kinematics to yaml file + 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) + + + +if __name__ == "__main__": + + # write data central values and kinematics to file + filter_CMS_1JET_8TEV_data_kinetic() \ No newline at end of file diff --git a/buildmaster/CMS_1JET_8TEV/filter_utils.py b/buildmaster/CMS_1JET_8TEV/filter_utils.py new file mode 100644 index 0000000000..460d3107a5 --- /dev/null +++ b/buildmaster/CMS_1JET_8TEV/filter_utils.py @@ -0,0 +1,105 @@ +""" +Utils to be used in CMS_1JET_8TEV/filter.py +""" + +import yaml +import logging + +log = logging.getLogger(__name__) + +table_to_rapidity = {1: [0.,0.5], 2: [0.5,1.], 3:[1.,1.5], 4:[1.5,2], 5:[2.,2.5], 6:[2.5,3.0]} + +def get_data_values(tables,version): + """ + returns the central data + + Parameters + ---------- + tables : list + list that enumerates the table number + + version : int + integer read from metadata.yaml that + indicated the version of the hepdata + tables + + Returns + ------- + list + list containing the central values for all + hepdata tables + + """ + + data_central = [] + for table in tables: + hepdata_table = f"rawdata/HEPData-ins1487277-v{version}-Table_{table}.yaml" + + with open(hepdata_table, 'r') as file: + input = yaml.safe_load(file) + + values = input['dependent_variables'][0]['values'] + + for value in values: + data_central.append(value['value']) + + return data_central + + +def get_kinematics(tables,version): + """ + returns the relevant kinematics values + + Parameters + ---------- + tables : list + list that enumerates the table number + + version : int + integer read from metadata.yaml that + indicated the version of the hepdata + tables + + Returns + ------- + list + list containing the kinematic values for all + hepdata tables + """ + kin = [] + + for table in tables: + + hepdata_table = f"rawdata/HEPData-ins1487277-v{version}-Table_{table}.yaml" + + with open(hepdata_table, 'r') as file: + input = yaml.safe_load(file) + + # rapidity + rapidity_interval = table_to_rapidity[table] + rap = {} + rap['min'], rap['max'] = rapidity_interval[0], rapidity_interval[1] + rap['mid'] = 0.5 * (rap['min'] + rap['max']) + + # center of mass energy + sqrts = float(input['dependent_variables'][0]['qualifiers'][2]['value']) + + # transverse momentum + jet_kt_bins = input['independent_variables'][0]['values'] + KT = {} + for kt in jet_kt_bins: + + KT['min'], KT['max'] = kt['low'], kt['high'] + KT['mid'] = float(f"{0.5 * (kt['low'] + kt['high']):.3f}") + + + kin_value = {'y' : {'min': rap['min'], 'mid': rap['mid'] , 'max': rap['max']}, + 'kt' : {'min': KT['min'], 'mid': KT['mid'] , 'max': KT['max']} , + 'sqrt_s' : {'min': None, 'mid': sqrts , 'max': None}} + + kin.append(kin_value) + + return kin + +if __name__ == "__main__": + print(get_kinematics(tables=[1],version=1)) \ No newline at end of file diff --git a/buildmaster/CMS_1JET_8TEV/kinematics.yaml b/buildmaster/CMS_1JET_8TEV/kinematics.yaml new file mode 100644 index 0000000000..d754449772 --- /dev/null +++ b/buildmaster/CMS_1JET_8TEV/kinematics.yaml @@ -0,0 +1,2869 @@ +bins: +- y: + min: 0.0 + mid: 0.25 + max: 0.5 + kt: + min: 21.0 + mid: 22.5 + max: 24.0 + sqrt_s: + min: null + mid: 8000.0 + max: null +- y: + min: 0.0 + mid: 0.25 + max: 0.5 + kt: + min: 24.0 + mid: 26.0 + max: 28.0 + sqrt_s: + min: null + mid: 8000.0 + max: null +- y: + min: 0.0 + mid: 0.25 + max: 0.5 + kt: + min: 28.0 + mid: 30.0 + max: 32.0 + sqrt_s: + min: null + mid: 8000.0 + max: null +- y: + min: 0.0 + mid: 0.25 + max: 0.5 + kt: + min: 32.0 + mid: 34.5 + max: 37.0 + sqrt_s: + min: null + mid: 8000.0 + max: null +- y: + min: 0.0 + mid: 0.25 + max: 0.5 + kt: + min: 37.0 + mid: 40.0 + max: 43.0 + sqrt_s: + min: null + mid: 8000.0 + max: null +- y: + min: 0.0 + mid: 0.25 + max: 0.5 + kt: + min: 43.0 + mid: 46.0 + max: 49.0 + sqrt_s: + min: null + mid: 8000.0 + max: null +- y: + min: 0.0 + mid: 0.25 + max: 0.5 + kt: + min: 49.0 + mid: 52.5 + max: 56.0 + sqrt_s: + min: null + mid: 8000.0 + max: null +- y: + min: 0.0 + mid: 0.25 + max: 0.5 + kt: + min: 56.0 + mid: 60.0 + max: 64.0 + sqrt_s: + min: null + mid: 8000.0 + max: null +- y: + min: 0.0 + mid: 0.25 + max: 0.5 + kt: + min: 64.0 + mid: 69.0 + max: 74.0 + sqrt_s: + min: null + mid: 8000.0 + max: null +- y: + min: 0.0 + mid: 0.25 + max: 0.5 + kt: + min: 74.0 + mid: 79.0 + max: 84.0 + sqrt_s: + min: null + mid: 8000.0 + max: null +- y: + min: 0.0 + mid: 0.25 + max: 0.5 + kt: + min: 84.0 + mid: 90.5 + max: 97.0 + sqrt_s: + min: null + mid: 8000.0 + max: null +- y: + min: 0.0 + mid: 0.25 + max: 0.5 + kt: + min: 97.0 + mid: 105.5 + max: 114.0 + sqrt_s: + min: null + mid: 8000.0 + max: null +- y: + min: 0.0 + mid: 0.25 + max: 0.5 + kt: + min: 114.0 + mid: 123.5 + max: 133.0 + sqrt_s: + min: null + mid: 8000.0 + max: null +- y: + min: 0.0 + mid: 0.25 + max: 0.5 + kt: + min: 133.0 + mid: 143.0 + max: 153.0 + sqrt_s: + min: null + mid: 8000.0 + max: null +- y: + min: 0.0 + mid: 0.25 + max: 0.5 + kt: + min: 153.0 + mid: 163.5 + max: 174.0 + sqrt_s: + min: null + mid: 8000.0 + max: null +- y: + min: 0.0 + mid: 0.25 + max: 0.5 + kt: + min: 174.0 + mid: 185.0 + max: 196.0 + sqrt_s: + min: null + mid: 8000.0 + max: null +- y: + min: 0.0 + mid: 0.25 + max: 0.5 + kt: + min: 196.0 + mid: 208.0 + max: 220.0 + sqrt_s: + min: null + mid: 8000.0 + max: null +- y: + min: 0.0 + mid: 0.25 + max: 0.5 + kt: + min: 220.0 + mid: 232.5 + max: 245.0 + sqrt_s: + min: null + mid: 8000.0 + max: null +- y: + min: 0.0 + mid: 0.25 + max: 0.5 + kt: + min: 245.0 + mid: 258.5 + max: 272.0 + sqrt_s: + min: null + mid: 8000.0 + max: null +- y: + min: 0.0 + mid: 0.25 + max: 0.5 + kt: + min: 272.0 + mid: 286.0 + max: 300.0 + sqrt_s: + min: null + mid: 8000.0 + max: null +- y: + min: 0.0 + mid: 0.25 + max: 0.5 + kt: + min: 300.0 + mid: 315.0 + max: 330.0 + sqrt_s: + min: null + mid: 8000.0 + max: null +- y: + min: 0.0 + mid: 0.25 + max: 0.5 + kt: + min: 330.0 + mid: 346.0 + max: 362.0 + sqrt_s: + min: null + mid: 8000.0 + max: null +- y: + min: 0.0 + mid: 0.25 + max: 0.5 + kt: + min: 362.0 + mid: 378.5 + max: 395.0 + sqrt_s: + min: null + mid: 8000.0 + max: null +- y: + min: 0.0 + mid: 0.25 + max: 0.5 + kt: + min: 395.0 + mid: 412.5 + max: 430.0 + sqrt_s: + min: null + mid: 8000.0 + max: null +- y: + min: 0.0 + mid: 0.25 + max: 0.5 + kt: + min: 430.0 + mid: 449.0 + max: 468.0 + sqrt_s: + min: null + mid: 8000.0 + max: null +- y: + min: 0.0 + mid: 0.25 + max: 0.5 + kt: + min: 468.0 + mid: 487.5 + max: 507.0 + sqrt_s: + min: null + mid: 8000.0 + max: null +- y: + min: 0.0 + mid: 0.25 + max: 0.5 + kt: + min: 507.0 + mid: 527.5 + max: 548.0 + sqrt_s: + min: null + mid: 8000.0 + max: null +- y: + min: 0.0 + mid: 0.25 + max: 0.5 + kt: + min: 548.0 + mid: 570.0 + max: 592.0 + sqrt_s: + min: null + mid: 8000.0 + max: null +- y: + min: 0.0 + mid: 0.25 + max: 0.5 + kt: + min: 592.0 + mid: 615.0 + max: 638.0 + sqrt_s: + min: null + mid: 8000.0 + max: null +- y: + min: 0.0 + mid: 0.25 + max: 0.5 + kt: + min: 638.0 + mid: 662.0 + max: 686.0 + sqrt_s: + min: null + mid: 8000.0 + max: null +- y: + min: 0.0 + mid: 0.25 + max: 0.5 + kt: + min: 686.0 + mid: 711.5 + max: 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8000.0 + max: null +- y: + min: 2.5 + mid: 2.75 + max: 3.0 + kt: + min: 174.0 + mid: 185.0 + max: 196.0 + sqrt_s: + min: null + mid: 8000.0 + max: null +- y: + min: 2.5 + mid: 2.75 + max: 3.0 + kt: + min: 196.0 + mid: 208.0 + max: 220.0 + sqrt_s: + min: null + mid: 8000.0 + max: null +- y: + min: 2.5 + mid: 2.75 + max: 3.0 + kt: + min: 220.0 + mid: 232.5 + max: 245.0 + sqrt_s: + min: null + mid: 8000.0 + max: null +- y: + min: 2.5 + mid: 2.75 + max: 3.0 + kt: + min: 245.0 + mid: 258.5 + max: 272.0 + sqrt_s: + min: null + mid: 8000.0 + max: null +- y: + min: 2.5 + mid: 2.75 + max: 3.0 + kt: + min: 272.0 + mid: 286.0 + max: 300.0 + sqrt_s: + min: null + mid: 8000.0 + max: null +- y: + min: 2.5 + mid: 2.75 + max: 3.0 + kt: + min: 300.0 + mid: 315.0 + max: 330.0 + sqrt_s: + min: null + mid: 8000.0 + max: null +- y: + min: 2.5 + mid: 2.75 + max: 3.0 + kt: + min: 330.0 + mid: 346.0 + max: 362.0 + sqrt_s: + min: null + mid: 8000.0 + max: null +- y: + min: 2.5 + mid: 2.75 + max: 3.0 + kt: + min: 362.0 + mid: 378.5 + max: 395.0 + sqrt_s: + min: null + mid: 8000.0 + max: null +- y: + min: 2.5 + mid: 2.75 + max: 3.0 + kt: + min: 395.0 + mid: 412.5 + max: 430.0 + sqrt_s: + min: null + mid: 8000.0 + max: null +- y: + min: 2.5 + mid: 2.75 + max: 3.0 + kt: + min: 430.0 + mid: 449.0 + max: 468.0 + sqrt_s: + min: null + mid: 8000.0 + max: null +- y: + min: 2.5 + mid: 2.75 + max: 3.0 + kt: + min: 468.0 + mid: 487.5 + max: 507.0 + sqrt_s: + min: null + mid: 8000.0 + max: null +- y: + min: 2.5 + mid: 2.75 + max: 3.0 + kt: + min: 507.0 + mid: 527.5 + max: 548.0 + sqrt_s: + min: null + mid: 8000.0 + max: null From aa95a5c328ee3dabba587be5aeff5475e5f76bee Mon Sep 17 00:00:00 2001 From: Mark Nestor Costantini Date: Thu, 13 Apr 2023 17:02:45 +0100 Subject: [PATCH 33/40] removed non needed import --- buildmaster/CMS_2JET_7TEV/filter.py | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/buildmaster/CMS_2JET_7TEV/filter.py b/buildmaster/CMS_2JET_7TEV/filter.py index eabb86879b..a93411a6f7 100644 --- a/buildmaster/CMS_2JET_7TEV/filter.py +++ b/buildmaster/CMS_2JET_7TEV/filter.py @@ -11,8 +11,7 @@ from scipy.linalg import block_diag import pandas as pd -from filter_utils import (correlation_to_covariance, - range_str_to_floats, +from filter_utils import (correlation_to_covariance, get_corr_dat_file, get_stat_uncertainties, dat_file_to_df, From 32831a6fcf30f017e7e69f4f65a63dcd77558683 Mon Sep 17 00:00:00 2001 From: Mark Nestor Costantini Date: Thu, 13 Apr 2023 17:03:16 +0100 Subject: [PATCH 34/40] added HEPData tables --- .../HEPData-ins1487277-v1-Table_1.yaml | 286 ++++++++++++++++++ .../HEPData-ins1487277-v1-Table_2.yaml | 286 ++++++++++++++++++ .../HEPData-ins1487277-v1-Table_3.yaml | 280 +++++++++++++++++ .../HEPData-ins1487277-v1-Table_4.yaml | 256 ++++++++++++++++ .../HEPData-ins1487277-v1-Table_5.yaml | 214 +++++++++++++ .../HEPData-ins1487277-v1-Table_6.yaml | 172 +++++++++++ 6 files changed, 1494 insertions(+) create mode 100644 buildmaster/CMS_1JET_8TEV/rawdata/HEPData-ins1487277-v1-Table_1.yaml create mode 100644 buildmaster/CMS_1JET_8TEV/rawdata/HEPData-ins1487277-v1-Table_2.yaml create mode 100644 buildmaster/CMS_1JET_8TEV/rawdata/HEPData-ins1487277-v1-Table_3.yaml create mode 100644 buildmaster/CMS_1JET_8TEV/rawdata/HEPData-ins1487277-v1-Table_4.yaml create mode 100644 buildmaster/CMS_1JET_8TEV/rawdata/HEPData-ins1487277-v1-Table_5.yaml create mode 100644 buildmaster/CMS_1JET_8TEV/rawdata/HEPData-ins1487277-v1-Table_6.yaml diff --git a/buildmaster/CMS_1JET_8TEV/rawdata/HEPData-ins1487277-v1-Table_1.yaml b/buildmaster/CMS_1JET_8TEV/rawdata/HEPData-ins1487277-v1-Table_1.yaml new file mode 100644 index 0000000000..9e121dd717 --- /dev/null +++ b/buildmaster/CMS_1JET_8TEV/rawdata/HEPData-ins1487277-v1-Table_1.yaml @@ -0,0 +1,286 @@ +dependent_variables: +- header: {name: D2(SIG)/DPT/DABS(YRAP), units: PB/GEV} + qualifiers: + - {name: ABS(YRAP), value: 0.0 TO 0.5} + - {name: RE, value: P P --> JET X} + - {name: SQRT(S), units: GEV, value: '8000.0'} + values: + - errors: + - {label: stat, symerror: 198875.0} + - asymerror: {minus: -2856910.0, plus: 3147780.0} + label: sys + value: 21840000.0 + - errors: + - {label: stat, symerror: 131368.0} + - asymerror: {minus: -1319460.0, plus: 1310210.0} + label: sys + value: 10830000.0 + - errors: + - {label: stat, symerror: 83917.0} + - asymerror: {minus: -605025.0, plus: 597204.0} + label: sys + value: 5235000.0 + - errors: + - {label: stat, symerror: 73290.0} + - asymerror: {minus: -293113.0, plus: 292884.0} + label: sys + value: 2625000.0 + - errors: + - {label: stat, symerror: 46180.6} + - asymerror: {minus: -135547.0, plus: 133485.0} + label: sys + value: 1214000.0 + - errors: + - {label: stat, symerror: 25223.6} + - asymerror: {minus: -56205.5, plus: 56352.4} + label: sys + value: 548100.0 + - errors: + - {label: stat, symerror: 19715.1} + - asymerror: {minus: -30026.1, plus: 30113.1} + label: sys + value: 311800.0 + - errors: + - {label: stat, symerror: 13005.1} + - asymerror: {minus: -14520.4, plus: 15658.5} + label: sys + value: 166200.0 + - errors: + - {label: stat, symerror: 6324.8} + - asymerror: {minus: -6715.98, plus: 7248.31} + label: sys + value: 82440.0 + - errors: + - {label: stat, symerror: 218.8} + - asymerror: {minus: -2370.1, plus: 2413.74} + label: sys + value: 37535.6 + - errors: + - {label: stat, symerror: 138.7} + - asymerror: {minus: -1147.75, plus: 1167.52} + label: sys + value: 18977.0 + - errors: + - {label: stat, symerror: 83.71} + - asymerror: {minus: -497.15, plus: 505.002} + label: sys + value: 8640.29 + - errors: + - {label: stat, symerror: 53.23} + - asymerror: {minus: -208.414, plus: 211.521} + label: sys + value: 3818.06 + - errors: + - {label: stat, symerror: 6.607} + - asymerror: {minus: -88.1899, plus: 89.4106} + label: sys + value: 1698.03 + - errors: + - {label: stat, symerror: 4.527} + - asymerror: {minus: -40.8087, plus: 41.341} + label: sys + value: 822.768 + - errors: + - {label: stat, symerror: 3.184} + - asymerror: {minus: -19.215, plus: 19.4548} + label: sys + value: 404.238 + - errors: + - {label: stat, symerror: 2.188} + - asymerror: {minus: -9.47811, plus: 9.58951} + label: sys + value: 207.541 + - errors: + - {label: stat, symerror: 0.2963} + - asymerror: {minus: -4.84197, plus: 4.89485} + label: sys + value: 110.072 + - errors: + - {label: stat, symerror: 0.2115} + - asymerror: {minus: -2.63376, plus: 2.66028} + label: sys + value: 61.9861 + - errors: + - {label: stat, symerror: 0.1556} + - asymerror: {minus: -1.40152, plus: 1.41426} + label: sys + value: 34.0481 + - errors: + - {label: stat, symerror: 0.05122} + - asymerror: {minus: -0.76769, plus: 0.77361} + label: sys + value: 19.1899 + - errors: + - {label: stat, symerror: 0.03763} + - asymerror: {minus: -0.430207, plus: 0.432958} + label: sys + value: 11.0319 + - errors: + - {label: stat, symerror: 0.02842} + - asymerror: {minus: -0.24628, plus: 0.247389} + label: sys + value: 6.45558 + - errors: + - {label: stat, symerror: 0.01047} + - asymerror: {minus: -0.140992, plus: 0.141333} + label: sys + value: 3.76322 + - errors: + - {label: stat, symerror: 0.007778} + - asymerror: {minus: -0.0826823, plus: 0.0826984} + label: sys + value: 2.23922 + - errors: + - {label: stat, symerror: 0.005916} + - asymerror: {minus: -0.0484227, plus: 0.0483165} + label: sys + value: 1.32528 + - errors: + - {label: stat, symerror: 0.001014} + - asymerror: {minus: -0.028874, plus: 0.0287354} + label: sys + value: 0.794974 + - errors: + - {label: stat, symerror: 0.0007645} + - asymerror: {minus: -0.0177084, plus: 0.0175778} + label: sys + value: 0.488379 + - errors: + - {label: stat, symerror: 0.0005812} + - asymerror: {minus: -0.0107321, plus: 0.010626} + label: sys + value: 0.295068 + - errors: + - {label: stat, symerror: 0.0004424} + - asymerror: {minus: -0.00654034, plus: 0.0064601} + label: sys + value: 0.17845 + - errors: + - {label: stat, symerror: 0.0003353} + - asymerror: {minus: -0.00404315, plus: 0.00398609} + label: sys + value: 0.108961 + - errors: + - {label: stat, symerror: 0.0002567} + - asymerror: {minus: -0.00249017, plus: 0.00245152} + label: sys + value: 0.0659701 + - errors: + - {label: stat, symerror: 0.0001939} + - asymerror: {minus: -0.00153886, plus: 0.00151361} + label: sys + value: 0.0398936 + - errors: + - {label: stat, symerror: 0.0001479} + - asymerror: {minus: -0.000961131, plus: 0.000945511} + label: sys + value: 0.0242738 + - errors: + - {label: stat, symerror: 0.0001117} + - asymerror: {minus: -0.000596586, plus: 0.000587388} + label: sys + value: 0.0146116 + - errors: + - {label: stat, symerror: 8.454e-05} + - asymerror: {minus: -0.00036929, plus: 0.000364401} + label: sys + value: 0.00873753 + - errors: + - {label: stat, symerror: 6.935e-05} + - asymerror: {minus: -0.000224638, plus: 0.000222369} + label: sys + value: 0.00511314 + - errors: + - {label: stat, symerror: 5.235e-05} + - asymerror: {minus: -0.000137332, plus: 0.000136534} + label: sys + value: 0.00299693 + - errors: + - {label: stat, symerror: 3.872e-05} + - asymerror: {minus: -8.41711e-05, plus: 8.41537e-05} + label: sys + value: 0.00175562 + - errors: + - {label: stat, symerror: 2.882e-05} + - asymerror: {minus: -5.07723e-05, plus: 5.11087e-05} + label: sys + value: 0.00100885 + - errors: + - {label: stat, symerror: 2.187e-05} + - asymerror: {minus: -3.23383e-05, plus: 3.28136e-05} + label: sys + value: 0.000610607 + - errors: + - {label: stat, symerror: 1.535e-05} + - asymerror: {minus: -1.76199e-05, plus: 1.80412e-05} + label: sys + value: 0.000315407 + - errors: + - {label: stat, symerror: 1.143e-05} + - asymerror: {minus: -1.08344e-05, plus: 1.12081e-05} + label: sys + value: 0.000183499 + - errors: + - {label: stat, symerror: 4.876e-06} + - asymerror: {minus: -4.6437e-06, plus: 4.8869e-06} + label: sys + value: 7.20384e-05 + - errors: + - {label: stat, symerror: 1.71e-06} + - asymerror: {minus: -1.1348e-06, plus: 1.2353e-06} + label: sys + value: 1.50941e-05 + - errors: + - {label: stat, symerror: 3.417e-07} + - asymerror: {minus: -6.58e-08, plus: 7.51e-08} + label: sys + value: 7.229e-07 +independent_variables: +- header: {name: PT, units: GEV} + values: + - {high: 24.0, low: 21.0} + - {high: 28.0, low: 24.0} + - {high: 32.0, low: 28.0} + - {high: 37.0, low: 32.0} + - {high: 43.0, low: 37.0} + - {high: 49.0, low: 43.0} + - {high: 56.0, low: 49.0} + - {high: 64.0, low: 56.0} + - {high: 74.0, low: 64.0} + - {high: 84.0, low: 74.0} + - {high: 97.0, low: 84.0} + - {high: 114.0, low: 97.0} + - {high: 133.0, low: 114.0} + - {high: 153.0, low: 133.0} + - {high: 174.0, low: 153.0} + - {high: 196.0, low: 174.0} + - {high: 220.0, low: 196.0} + - {high: 245.0, low: 220.0} + - {high: 272.0, low: 245.0} + - {high: 300.0, low: 272.0} + - {high: 330.0, low: 300.0} + - {high: 362.0, low: 330.0} + - {high: 395.0, low: 362.0} + - {high: 430.0, low: 395.0} + - {high: 468.0, low: 430.0} + - {high: 507.0, low: 468.0} + - {high: 548.0, low: 507.0} + - {high: 592.0, low: 548.0} + - {high: 638.0, low: 592.0} + - {high: 686.0, low: 638.0} + - {high: 737.0, low: 686.0} + - {high: 790.0, low: 737.0} + - {high: 846.0, low: 790.0} + - {high: 905.0, low: 846.0} + - {high: 967.0, low: 905.0} + - {high: 1032.0, low: 967.0} + - {high: 1101.0, low: 1032.0} + - {high: 1172.0, low: 1101.0} + - {high: 1248.0, low: 1172.0} + - {high: 1327.0, low: 1248.0} + - {high: 1410.0, low: 1327.0} + - {high: 1497.0, low: 1410.0} + - {high: 1588.0, low: 1497.0} + - {high: 1784.0, low: 1588.0} + - {high: 2116.0, low: 1784.0} + - {high: 2500.0, low: 2116.0} diff --git a/buildmaster/CMS_1JET_8TEV/rawdata/HEPData-ins1487277-v1-Table_2.yaml b/buildmaster/CMS_1JET_8TEV/rawdata/HEPData-ins1487277-v1-Table_2.yaml new file mode 100644 index 0000000000..f983b22c30 --- /dev/null +++ b/buildmaster/CMS_1JET_8TEV/rawdata/HEPData-ins1487277-v1-Table_2.yaml @@ -0,0 +1,286 @@ +dependent_variables: +- header: {name: D2(SIG)/DPT/DABS(YRAP), units: PB/GEV} + qualifiers: + - {name: ABS(YRAP), value: 0.5 TO 1.0} + - {name: RE, value: P P --> JET X} + - {name: SQRT(S), units: GEV, value: '8000.0'} + values: + - errors: + - {label: stat, symerror: 193988.0} + - asymerror: {minus: -2589930.0, plus: 2915320.0} + label: sys + value: 21180000.0 + - errors: + - {label: stat, symerror: 126909.0} + - asymerror: {minus: -1311870.0, plus: 1338360.0} + label: sys + value: 10620000.0 + - errors: + - {label: stat, symerror: 83619.8} + - asymerror: {minus: -601465.0, plus: 607294.0} + label: sys + value: 5149000.0 + - errors: + - {label: stat, symerror: 71038.6} + - asymerror: {minus: -283875.0, plus: 284977.0} + label: sys + value: 2538000.0 + - errors: + - {label: stat, symerror: 44967.7} + - asymerror: {minus: -130487.0, plus: 132070.0} + label: sys + value: 1216000.0 + - errors: + - {label: stat, symerror: 25611.9} + - asymerror: {minus: -58361.6, plus: 59858.3} + label: sys + value: 578800.0 + - errors: + - {label: stat, symerror: 20130.0} + - asymerror: {minus: -30406.7, plus: 31382.4} + label: sys + value: 330000.0 + - errors: + - {label: stat, symerror: 12700.2} + - asymerror: {minus: -13310.5, plus: 13932.4} + label: sys + value: 166800.0 + - errors: + - {label: stat, symerror: 6287.67} + - asymerror: {minus: -5705.32, plus: 6063.47} + label: sys + value: 83970.0 + - errors: + - {label: stat, symerror: 235.2} + - asymerror: {minus: -2418.9, plus: 2205.58} + label: sys + value: 35943.3 + - errors: + - {label: stat, symerror: 147.2} + - asymerror: {minus: -1141.3, plus: 1063.95} + label: sys + value: 17772.2 + - errors: + - {label: stat, symerror: 89.58} + - asymerror: {minus: -492.628, plus: 470.998} + label: sys + value: 8101.54 + - errors: + - {label: stat, symerror: 57.09} + - asymerror: {minus: -205.949, plus: 201.991} + label: sys + value: 3589.34 + - errors: + - {label: stat, symerror: 7.037} + - asymerror: {minus: -85.0958, plus: 85.4221} + label: sys + value: 1568.04 + - errors: + - {label: stat, symerror: 4.801} + - asymerror: {minus: -38.2733, plus: 39.1965} + label: sys + value: 743.046 + - errors: + - {label: stat, symerror: 3.357} + - asymerror: {minus: -18.7406, plus: 19.5316} + label: sys + value: 382.184 + - errors: + - {label: stat, symerror: 2.33} + - asymerror: {minus: -9.21187, plus: 9.74795} + label: sys + value: 196.959 + - errors: + - {label: stat, symerror: 0.3092} + - asymerror: {minus: -4.53984, plus: 4.86569} + label: sys + value: 101.552 + - errors: + - {label: stat, symerror: 0.2208} + - asymerror: {minus: -2.43335, plus: 2.63671} + label: sys + value: 56.8289 + - errors: + - {label: stat, symerror: 0.1629} + - asymerror: {minus: -1.286, plus: 1.40532} + label: sys + value: 31.2766 + - errors: + - {label: stat, symerror: 0.05307} + - asymerror: {minus: -0.690093, plus: 0.758835} + label: sys + value: 17.4299 + - errors: + - {label: stat, symerror: 0.03906} + - asymerror: {minus: -0.382809, plus: 0.422691} + label: sys + value: 10.0154 + - errors: + - {label: stat, symerror: 0.02933} + - asymerror: {minus: -0.214862, plus: 0.237725} + label: sys + value: 5.80261 + - errors: + - {label: stat, symerror: 0.01077} + - asymerror: {minus: -0.120375, plus: 0.133122} + label: sys + value: 3.34189 + - errors: + - {label: stat, symerror: 0.007893} + - asymerror: {minus: -0.0685191, plus: 0.0755902} + label: sys + value: 1.94795 + - errors: + - {label: stat, symerror: 0.005998} + - asymerror: {minus: -0.0394908, plus: 0.0433477} + label: sys + value: 1.14367 + - errors: + - {label: stat, symerror: 0.001025} + - asymerror: {minus: -0.0237159, plus: 0.0258414} + label: sys + value: 0.695364 + - errors: + - {label: stat, symerror: 0.0007652} + - asymerror: {minus: -0.0140258, plus: 0.0151331} + label: sys + value: 0.413665 + - errors: + - {label: stat, symerror: 0.0005766} + - asymerror: {minus: -0.00832017, plus: 0.00886773} + label: sys + value: 0.244963 + - errors: + - {label: stat, symerror: 0.0004365} + - asymerror: {minus: -0.005022, plus: 0.00527391} + label: sys + value: 0.146384 + - errors: + - {label: stat, symerror: 0.0003271} + - asymerror: {minus: -0.00305705, plus: 0.00315594} + label: sys + value: 0.0874216 + - errors: + - {label: stat, symerror: 0.0002462} + - asymerror: {minus: -0.00183059, plus: 0.00185441} + label: sys + value: 0.0508882 + - errors: + - {label: stat, symerror: 0.0001851} + - asymerror: {minus: -0.00113382, plus: 0.00112522} + label: sys + value: 0.0303471 + - errors: + - {label: stat, symerror: 0.0001376} + - asymerror: {minus: -0.000692948, plus: 0.000673066} + label: sys + value: 0.0176874 + - errors: + - {label: stat, symerror: 0.0001023} + - asymerror: {minus: -0.000424787, plus: 0.000403736} + label: sys + value: 0.0102445 + - errors: + - {label: stat, symerror: 7.614e-05} + - asymerror: {minus: -0.000263073, plus: 0.000244937} + label: sys + value: 0.00594397 + - errors: + - {label: stat, symerror: 5.57e-05} + - asymerror: {minus: -0.000161087, plus: 0.000147207} + label: sys + value: 0.00338308 + - errors: + - {label: stat, symerror: 4.125e-05} + - asymerror: {minus: -9.83491e-05, plus: 8.85252e-05} + label: sys + value: 0.00190764 + - errors: + - {label: stat, symerror: 3.01e-05} + - asymerror: {minus: -6.10869e-05, plus: 5.44038e-05} + label: sys + value: 0.0010881 + - errors: + - {label: stat, symerror: 2.184e-05} + - asymerror: {minus: -3.66228e-05, plus: 3.24567e-05} + label: sys + value: 0.000595922 + - errors: + - {label: stat, symerror: 1.529e-05} + - asymerror: {minus: -2.06787e-05, plus: 1.83574e-05} + label: sys + value: 0.000306353 + - errors: + - {label: stat, symerror: 1.089e-05} + - asymerror: {minus: -1.21626e-05, plus: 1.08942e-05} + label: sys + value: 0.000163541 + - errors: + - {label: stat, symerror: 7.352e-06} + - asymerror: {minus: -6.4095e-06, plus: 5.834e-06} + label: sys + value: 7.80437e-05 + - errors: + - {label: stat, symerror: 2.768e-06} + - asymerror: {minus: -2.2789e-06, plus: 2.1552e-06} + label: sys + value: 2.37958e-05 + - errors: + - {label: stat, symerror: 7.709e-07} + - asymerror: {minus: -3.934e-07, plus: 4.099e-07} + label: sys + value: 3.1624e-06 + - errors: + - {label: stat, symerror: 1.367e-07} + - asymerror: {minus: -1.99e-08, plus: 2.42e-08} + label: sys + value: 1.169e-07 +independent_variables: +- header: {name: PT, units: GEV} + values: + - {high: 24.0, low: 21.0} + - {high: 28.0, low: 24.0} + - {high: 32.0, low: 28.0} + - {high: 37.0, low: 32.0} + - {high: 43.0, low: 37.0} + - {high: 49.0, low: 43.0} + - {high: 56.0, low: 49.0} + - {high: 64.0, low: 56.0} + - {high: 74.0, low: 64.0} + - {high: 84.0, low: 74.0} + - {high: 97.0, low: 84.0} + - {high: 114.0, low: 97.0} + - {high: 133.0, low: 114.0} + - {high: 153.0, low: 133.0} + - {high: 174.0, low: 153.0} + - {high: 196.0, low: 174.0} + - {high: 220.0, low: 196.0} + - {high: 245.0, low: 220.0} + - {high: 272.0, low: 245.0} + - {high: 300.0, low: 272.0} + - {high: 330.0, low: 300.0} + - {high: 362.0, low: 330.0} + - {high: 395.0, low: 362.0} + - {high: 430.0, low: 395.0} + - {high: 468.0, low: 430.0} + - {high: 507.0, low: 468.0} + - {high: 548.0, low: 507.0} + - {high: 592.0, low: 548.0} + - {high: 638.0, low: 592.0} + - {high: 686.0, low: 638.0} + - {high: 737.0, low: 686.0} + - {high: 790.0, low: 737.0} + - {high: 846.0, low: 790.0} + - {high: 905.0, low: 846.0} + - {high: 967.0, low: 905.0} + - {high: 1032.0, low: 967.0} + - {high: 1101.0, low: 1032.0} + - {high: 1172.0, low: 1101.0} + - {high: 1248.0, low: 1172.0} + - {high: 1327.0, low: 1248.0} + - {high: 1410.0, low: 1327.0} + - {high: 1497.0, low: 1410.0} + - {high: 1588.0, low: 1497.0} + - {high: 1784.0, low: 1588.0} + - {high: 2116.0, low: 1784.0} + - {high: 2500.0, low: 2116.0} diff --git a/buildmaster/CMS_1JET_8TEV/rawdata/HEPData-ins1487277-v1-Table_3.yaml b/buildmaster/CMS_1JET_8TEV/rawdata/HEPData-ins1487277-v1-Table_3.yaml new file mode 100644 index 0000000000..3f4ddf71b3 --- /dev/null +++ b/buildmaster/CMS_1JET_8TEV/rawdata/HEPData-ins1487277-v1-Table_3.yaml @@ -0,0 +1,280 @@ +dependent_variables: +- header: {name: D2(SIG)/DPT/DABS(YRAP), units: PB/GEV} + qualifiers: + - {name: ABS(YRAP), value: 1.0 TO 1.5} + - {name: RE, value: P P --> JET X} + - {name: SQRT(S), units: GEV, value: '8000.0'} + values: + - errors: + - {label: stat, symerror: 172685.0} + - asymerror: {minus: -2816090.0, plus: 2958740.0} + label: sys + value: 18260000.0 + - errors: + - {label: stat, symerror: 107304.0} + - asymerror: {minus: -1297830.0, plus: 1340160.0} + label: sys + value: 8942000.0 + - errors: + - {label: stat, symerror: 74952.1} + - asymerror: {minus: -565807.0, plus: 601036.0} + label: sys + value: 4199000.0 + - errors: + - {label: stat, symerror: 60602.3} + - asymerror: {minus: -272900.0, plus: 289283.0} + label: sys + value: 2035000.0 + - errors: + - {label: stat, symerror: 37626.1} + - asymerror: {minus: -120759.0, plus: 131644.0} + label: sys + value: 967500.0 + - errors: + - {label: stat, symerror: 21616.7} + - asymerror: {minus: -50671.6, plus: 55981.7} + label: sys + value: 439900.0 + - errors: + - {label: stat, symerror: 16203.7} + - asymerror: {minus: -27147.0, plus: 25756.9} + label: sys + value: 234700.0 + - errors: + - {label: stat, symerror: 10079.8} + - asymerror: {minus: -12637.0, plus: 12950.2} + label: sys + value: 119500.0 + - errors: + - {label: stat, symerror: 5460.96} + - asymerror: {minus: -6604.45, plus: 6890.21} + label: sys + value: 62640.0 + - errors: + - {label: stat, symerror: 221.8} + - asymerror: {minus: -2364.9, plus: 2462.44} + label: sys + value: 32992.3 + - errors: + - {label: stat, symerror: 140.5} + - asymerror: {minus: -1134.74, plus: 1178.93} + label: sys + value: 16532.0 + - errors: + - {label: stat, symerror: 84.36} + - asymerror: {minus: -480.751, plus: 498.279} + label: sys + value: 7371.51 + - errors: + - {label: stat, symerror: 53.6} + - asymerror: {minus: -192.851, plus: 199.404} + label: sys + value: 3124.16 + - errors: + - {label: stat, symerror: 6.539} + - asymerror: {minus: -81.488, plus: 84.0493} + label: sys + value: 1392.55 + - errors: + - {label: stat, symerror: 4.441} + - asymerror: {minus: -36.6486, plus: 37.6889} + label: sys + value: 658.827 + - errors: + - {label: stat, symerror: 3.083} + - asymerror: {minus: -17.399, plus: 17.8248} + label: sys + value: 328.217 + - errors: + - {label: stat, symerror: 2.102} + - asymerror: {minus: -8.34931, plus: 8.51284} + label: sys + value: 165.071 + - errors: + - {label: stat, symerror: 0.2798} + - asymerror: {minus: -4.16282, plus: 4.21653} + label: sys + value: 86.1106 + - errors: + - {label: stat, symerror: 0.1983} + - asymerror: {minus: -2.14572, plus: 2.15488} + label: sys + value: 46.3453 + - errors: + - {label: stat, symerror: 0.1447} + - asymerror: {minus: -1.12724, plus: 1.12004} + label: sys + value: 25.3669 + - errors: + - {label: stat, symerror: 0.04696} + - asymerror: {minus: -0.592488, plus: 0.581164} + label: sys + value: 13.8534 + - errors: + - {label: stat, symerror: 0.03408} + - asymerror: {minus: -0.319843, plus: 0.308886} + label: sys + value: 7.74978 + - errors: + - {label: stat, symerror: 0.02524} + - asymerror: {minus: -0.174585, plus: 0.16574} + label: sys + value: 4.3665 + - errors: + - {label: stat, symerror: 0.009174} + - asymerror: {minus: -0.0961121, plus: 0.0895958} + label: sys + value: 2.47015 + - errors: + - {label: stat, symerror: 0.006641} + - asymerror: {minus: -0.0533515, plus: 0.048801} + label: sys + value: 1.40211 + - errors: + - {label: stat, symerror: 0.004998} + - asymerror: {minus: -0.0303403, plus: 0.0272753} + label: sys + value: 0.810461 + - errors: + - {label: stat, symerror: 0.0008312} + - asymerror: {minus: -0.0169302, plus: 0.0150089} + label: sys + value: 0.456356 + - errors: + - {label: stat, symerror: 0.0006067} + - asymerror: {minus: -0.00964276, plus: 0.00847531} + label: sys + value: 0.26026 + - errors: + - {label: stat, symerror: 0.0004467} + - asymerror: {minus: -0.00549362, plus: 0.00482258} + label: sys + value: 0.147183 + - errors: + - {label: stat, symerror: 0.0003281} + - asymerror: {minus: -0.00313763, plus: 0.00277478} + label: sys + value: 0.0826758 + - errors: + - {label: stat, symerror: 0.0002375} + - asymerror: {minus: -0.00179702, plus: 0.00161542} + label: sys + value: 0.0461163 + - errors: + - {label: stat, symerror: 0.0001737} + - asymerror: {minus: -0.00103509, plus: 0.000953817} + label: sys + value: 0.0256041 + - errors: + - {label: stat, symerror: 0.0001243} + - asymerror: {minus: -0.000586017, plus: 0.000557425} + label: sys + value: 0.0138252 + - errors: + - {label: stat, symerror: 8.845e-05} + - asymerror: {minus: -0.000332668, plus: 0.000328323} + label: sys + value: 0.00739449 + - errors: + - {label: stat, symerror: 6.14e-05} + - asymerror: {minus: -0.000181444, plus: 0.000186113} + label: sys + value: 0.00374716 + - errors: + - {label: stat, symerror: 4.377e-05} + - asymerror: {minus: -0.000105774, plus: 0.000112418} + label: sys + value: 0.00199496 + - errors: + - {label: stat, symerror: 2.932e-05} + - asymerror: {minus: -5.64797e-05, plus: 6.167e-05} + label: sys + value: 0.00095181 + - errors: + - {label: stat, symerror: 1.994e-05} + - asymerror: {minus: -3.0979e-05, plus: 3.42123e-05} + label: sys + value: 0.00045465 + - errors: + - {label: stat, symerror: 1.333e-05} + - asymerror: {minus: -1.75278e-05, plus: 1.91746e-05} + label: sys + value: 0.000217397 + - errors: + - {label: stat, symerror: 9.015e-06} + - asymerror: {minus: -1.0243e-05, plus: 1.08286e-05} + label: sys + value: 0.00010393 + - errors: + - {label: stat, symerror: 5.816e-06} + - asymerror: {minus: -5.6457e-06, plus: 5.63e-06} + label: sys + value: 4.55497e-05 + - errors: + - {label: stat, symerror: 3.522e-06} + - asymerror: {minus: -2.8021e-06, plus: 2.5818e-06} + label: sys + value: 1.75488e-05 + - errors: + - {label: stat, symerror: 1.979e-06} + - asymerror: {minus: -1.2266e-06, plus: 1.027e-06} + label: sys + value: 5.8579e-06 + - errors: + - {label: stat, symerror: 4.522e-07} + - asymerror: {minus: -2.16e-07, plus: 1.533e-07} + label: sys + value: 6.692e-07 + - errors: + - {label: stat, symerror: 6.67e-08} + - asymerror: {minus: -5.87e-08, plus: 3.07e-08} + label: sys + value: 8.62e-08 +independent_variables: +- header: {name: PT, units: GEV} + values: + - {high: 24.0, low: 21.0} + - {high: 28.0, low: 24.0} + - {high: 32.0, low: 28.0} + - {high: 37.0, low: 32.0} + - {high: 43.0, low: 37.0} + - {high: 49.0, low: 43.0} + - {high: 56.0, low: 49.0} + - {high: 64.0, low: 56.0} + - {high: 74.0, low: 64.0} + - {high: 84.0, low: 74.0} + - {high: 97.0, low: 84.0} + - {high: 114.0, low: 97.0} + - {high: 133.0, low: 114.0} + - {high: 153.0, low: 133.0} + - {high: 174.0, low: 153.0} + - {high: 196.0, low: 174.0} + - {high: 220.0, low: 196.0} + - {high: 245.0, low: 220.0} + - {high: 272.0, low: 245.0} + - {high: 300.0, low: 272.0} + - {high: 330.0, low: 300.0} + - {high: 362.0, low: 330.0} + - {high: 395.0, low: 362.0} + - {high: 430.0, low: 395.0} + - {high: 468.0, low: 430.0} + - {high: 507.0, low: 468.0} + - {high: 548.0, low: 507.0} + - {high: 592.0, low: 548.0} + - {high: 638.0, low: 592.0} + - {high: 686.0, low: 638.0} + - {high: 737.0, low: 686.0} + - {high: 790.0, low: 737.0} + - {high: 846.0, low: 790.0} + - {high: 905.0, low: 846.0} + - {high: 967.0, low: 905.0} + - {high: 1032.0, low: 967.0} + - {high: 1101.0, low: 1032.0} + - {high: 1172.0, low: 1101.0} + - {high: 1248.0, low: 1172.0} + - {high: 1327.0, low: 1248.0} + - {high: 1410.0, low: 1327.0} + - {high: 1497.0, low: 1410.0} + - {high: 1588.0, low: 1497.0} + - {high: 1784.0, low: 1588.0} + - {high: 2116.0, low: 1784.0} diff --git a/buildmaster/CMS_1JET_8TEV/rawdata/HEPData-ins1487277-v1-Table_4.yaml b/buildmaster/CMS_1JET_8TEV/rawdata/HEPData-ins1487277-v1-Table_4.yaml new file mode 100644 index 0000000000..37dae42ea9 --- /dev/null +++ b/buildmaster/CMS_1JET_8TEV/rawdata/HEPData-ins1487277-v1-Table_4.yaml @@ -0,0 +1,256 @@ +dependent_variables: +- header: {name: D2(SIG)/DPT/DABS(YRAP), units: PB/GEV} + qualifiers: + - {name: ABS(YRAP), value: 1.5 TO 2.0} + - {name: RE, value: P P --> JET X} + - {name: SQRT(S), units: GEV, value: '8000.0'} + values: + - errors: + - {label: stat, symerror: 162096.0} + - asymerror: {minus: -2993560.0, plus: 2852830.0} + label: sys + value: 15970000.0 + - errors: + - {label: stat, symerror: 100854.0} + - asymerror: {minus: -1309800.0, plus: 1329680.0} + label: sys + value: 7800000.0 + - errors: + - {label: stat, symerror: 69925.5} + - asymerror: {minus: -583459.0, plus: 601341.0} + label: sys + value: 3690000.0 + - errors: + - {label: stat, symerror: 59082.5} + - asymerror: {minus: -278516.0, plus: 281791.0} + label: sys + value: 1836000.0 + - errors: + - {label: stat, symerror: 36605.8} + - asymerror: {minus: -122758.0, plus: 127740.0} + label: sys + value: 860300.0 + - errors: + - {label: stat, symerror: 20510.2} + - asymerror: {minus: -49695.4, plus: 52641.2} + label: sys + value: 380100.0 + - errors: + - {label: stat, symerror: 15576.1} + - asymerror: {minus: -25365.5, plus: 25608.8} + label: sys + value: 200800.0 + - errors: + - {label: stat, symerror: 9235.58} + - asymerror: {minus: -10494.9, plus: 10806.6} + label: sys + value: 93110.0 + - errors: + - {label: stat, symerror: 4721.66} + - asymerror: {minus: -4640.23, plus: 4782.62} + label: sys + value: 46110.0 + - errors: + - {label: stat, symerror: 183.8} + - asymerror: {minus: -1824.2, plus: 1868.76} + label: sys + value: 24300.4 + - errors: + - {label: stat, symerror: 119.8} + - asymerror: {minus: -891.446, plus: 913.927} + label: sys + value: 12464.5 + - errors: + - {label: stat, symerror: 70.47} + - asymerror: {minus: -367.002, plus: 376.074} + label: sys + value: 5424.6 + - errors: + - {label: stat, symerror: 45.0} + - asymerror: {minus: -149.89, plus: 153.203} + label: sys + value: 2346.84 + - errors: + - {label: stat, symerror: 5.553} + - asymerror: {minus: -62.274, plus: 63.3365} + label: sys + value: 1028.46 + - errors: + - {label: stat, symerror: 3.717} + - asymerror: {minus: -27.3329, plus: 27.5904} + label: sys + value: 473.651 + - errors: + - {label: stat, symerror: 2.572} + - asymerror: {minus: -12.8708, plus: 12.8639} + label: sys + value: 232.865 + - errors: + - {label: stat, symerror: 1.755} + - asymerror: {minus: -6.2109, plus: 6.13399} + label: sys + value: 116.89 + - errors: + - {label: stat, symerror: 0.2297} + - asymerror: {minus: -3.04101, plus: 2.96234} + label: sys + value: 59.3041 + - errors: + - {label: stat, symerror: 0.1604} + - asymerror: {minus: -1.53672, plus: 1.47542} + label: sys + value: 30.932 + - errors: + - {label: stat, symerror: 0.1151} + - asymerror: {minus: -0.792674, plus: 0.75041} + label: sys + value: 16.4024 + - errors: + - {label: stat, symerror: 0.03685} + - asymerror: {minus: -0.409983, plus: 0.383626} + label: sys + value: 8.68794 + - errors: + - {label: stat, symerror: 0.02588} + - asymerror: {minus: -0.211183, plus: 0.196145} + label: sys + value: 4.56543 + - errors: + - {label: stat, symerror: 0.01878} + - asymerror: {minus: -0.112328, plus: 0.104244} + label: sys + value: 2.46626 + - errors: + - {label: stat, symerror: 0.006652} + - asymerror: {minus: -0.059625, plus: 0.0557405} + label: sys + value: 1.32288 + - errors: + - {label: stat, symerror: 0.004635} + - asymerror: {minus: -0.0312282, plus: 0.0296768} + label: sys + value: 0.695727 + - errors: + - {label: stat, symerror: 0.003288} + - asymerror: {minus: -0.0161993, plus: 0.0157729} + label: sys + value: 0.359265 + - errors: + - {label: stat, symerror: 0.0005268} + - asymerror: {minus: -0.00855192, plus: 0.00856559} + label: sys + value: 0.186647 + - errors: + - {label: stat, symerror: 0.0003609} + - asymerror: {minus: -0.00444607, plus: 0.0045731} + label: sys + value: 0.0939425 + - errors: + - {label: stat, symerror: 0.000248} + - asymerror: {minus: -0.00231219, plus: 0.00242062} + label: sys + value: 0.0462971 + - errors: + - {label: stat, symerror: 0.0001689} + - asymerror: {minus: -0.00120869, plus: 0.0012678} + label: sys + value: 0.0223788 + - errors: + - {label: stat, symerror: 0.0001114} + - asymerror: {minus: -0.000620886, plus: 0.000639306} + label: sys + value: 0.0103459 + - errors: + - {label: stat, symerror: 7.357e-05} + - asymerror: {minus: -0.00032069, plus: 0.000317157} + label: sys + value: 0.00468607 + - errors: + - {label: stat, symerror: 4.682e-05} + - asymerror: {minus: -0.000159955, plus: 0.000149053} + label: sys + value: 0.00200615 + - errors: + - {label: stat, symerror: 2.886e-05} + - asymerror: {minus: -7.59712e-05, plus: 6.56709e-05} + label: sys + value: 0.000803936 + - errors: + - {label: stat, symerror: 1.808e-05} + - asymerror: {minus: -3.76917e-05, plus: 2.98829e-05} + label: sys + value: 0.00033261 + - errors: + - {label: stat, symerror: 9.725e-06} + - asymerror: {minus: -1.37848e-05, plus: 9.9498e-06} + label: sys + value: 0.000100744 + - errors: + - {label: stat, symerror: 5.909e-06} + - asymerror: {minus: -6.255e-06, plus: 4.0915e-06} + label: sys + value: 3.76967e-05 + - errors: + - {label: stat, symerror: 3.599e-06} + - asymerror: {minus: -2.9095e-06, plus: 1.7219e-06} + label: sys + value: 1.44612e-05 + - errors: + - {label: stat, symerror: 1.706e-06} + - asymerror: {minus: -8.539e-07, plus: 4.568e-07} + label: sys + value: 3.5e-06 + - errors: + - {label: stat, symerror: 3.925e-07} + - asymerror: {minus: -1.52e-07, plus: 7.34e-08} + label: sys + value: 5.14e-07 + - errors: + - {label: stat, symerror: 1.429e-07} + - asymerror: {minus: -6.94e-08, plus: 3.03e-08} + label: sys + value: 1.94e-07 +independent_variables: +- header: {name: PT, units: GEV} + values: + - {high: 24.0, low: 21.0} + - {high: 28.0, low: 24.0} + - {high: 32.0, low: 28.0} + - {high: 37.0, low: 32.0} + - {high: 43.0, low: 37.0} + - {high: 49.0, low: 43.0} + - {high: 56.0, low: 49.0} + - {high: 64.0, low: 56.0} + - {high: 74.0, low: 64.0} + - {high: 84.0, low: 74.0} + - {high: 97.0, low: 84.0} + - {high: 114.0, low: 97.0} + - {high: 133.0, low: 114.0} + - {high: 153.0, low: 133.0} + - {high: 174.0, low: 153.0} + - {high: 196.0, low: 174.0} + - {high: 220.0, low: 196.0} + - {high: 245.0, low: 220.0} + - {high: 272.0, low: 245.0} + - {high: 300.0, low: 272.0} + - {high: 330.0, low: 300.0} + - {high: 362.0, low: 330.0} + - {high: 395.0, low: 362.0} + - {high: 430.0, low: 395.0} + - {high: 468.0, low: 430.0} + - {high: 507.0, low: 468.0} + - {high: 548.0, low: 507.0} + - {high: 592.0, low: 548.0} + - {high: 638.0, low: 592.0} + - {high: 686.0, low: 638.0} + - {high: 737.0, low: 686.0} + - {high: 790.0, low: 737.0} + - {high: 846.0, low: 790.0} + - {high: 905.0, low: 846.0} + - {high: 967.0, low: 905.0} + - {high: 1032.0, low: 967.0} + - {high: 1101.0, low: 1032.0} + - {high: 1172.0, low: 1101.0} + - {high: 1248.0, low: 1172.0} + - {high: 1327.0, low: 1248.0} + - {high: 1410.0, low: 1327.0} diff --git a/buildmaster/CMS_1JET_8TEV/rawdata/HEPData-ins1487277-v1-Table_5.yaml b/buildmaster/CMS_1JET_8TEV/rawdata/HEPData-ins1487277-v1-Table_5.yaml new file mode 100644 index 0000000000..feeeb95925 --- /dev/null +++ b/buildmaster/CMS_1JET_8TEV/rawdata/HEPData-ins1487277-v1-Table_5.yaml @@ -0,0 +1,214 @@ +dependent_variables: +- header: {name: D2(SIG)/DPT/DABS(YRAP), units: PB/GEV} + qualifiers: + - {name: ABS(YRAP), value: 2.0 TO 2.5} + - {name: RE, value: P P --> JET X} + - {name: SQRT(S), units: GEV, value: '8000.0'} + values: + - errors: + - {label: stat, symerror: 159605.0} + - asymerror: {minus: -2589880.0, plus: 2883180.0} + label: sys + value: 12830000.0 + - errors: + - {label: stat, symerror: 107478.0} + - asymerror: {minus: -1190280.0, plus: 1178940.0} + label: sys + value: 6459000.0 + - errors: + - {label: stat, symerror: 67897.6} + - asymerror: {minus: -510314.0, plus: 484488.0} + label: sys + value: 3116000.0 + - errors: + - {label: stat, symerror: 57018.5} + - asymerror: {minus: -222233.0, plus: 219422.0} + label: sys + value: 1481000.0 + - errors: + - {label: stat, symerror: 37244.0} + - asymerror: {minus: -96781.9, plus: 95903.4} + label: sys + value: 681500.0 + - errors: + - {label: stat, symerror: 20519.0} + - asymerror: {minus: -41042.7, plus: 42130.6} + label: sys + value: 306300.0 + - errors: + - {label: stat, symerror: 14403.8} + - asymerror: {minus: -17756.3, plus: 18448.4} + label: sys + value: 138100.0 + - errors: + - {label: stat, symerror: 8773.51} + - asymerror: {minus: -7931.1, plus: 8614.85} + label: sys + value: 65670.0 + - errors: + - {label: stat, symerror: 5217.77} + - asymerror: {minus: -5022.21, plus: 5753.95} + label: sys + value: 42980.0 + - errors: + - {label: stat, symerror: 164.9} + - asymerror: {minus: -1384.12, plus: 1338.36} + label: sys + value: 18591.6 + - errors: + - {label: stat, symerror: 105.2} + - asymerror: {minus: -653.762, plus: 635.102} + label: sys + value: 9301.1 + - errors: + - {label: stat, symerror: 60.98} + - asymerror: {minus: -263.467, plus: 257.724} + label: sys + value: 4001.31 + - errors: + - {label: stat, symerror: 37.64} + - asymerror: {minus: -98.5028, plus: 97.2461} + label: sys + value: 1599.39 + - errors: + - {label: stat, symerror: 4.577} + - asymerror: {minus: -40.5697, plus: 40.476} + label: sys + value: 699.955 + - errors: + - {label: stat, symerror: 3.0} + - asymerror: {minus: -17.1083, plus: 17.2658} + label: sys + value: 311.294 + - errors: + - {label: stat, symerror: 2.008} + - asymerror: {minus: -7.59452, plus: 7.75698} + label: sys + value: 144.63 + - errors: + - {label: stat, symerror: 1.323} + - asymerror: {minus: -3.4168, plus: 3.53425} + label: sys + value: 67.639 + - errors: + - {label: stat, symerror: 0.1688} + - asymerror: {minus: -1.59207, plus: 1.66794} + label: sys + value: 32.5101 + - errors: + - {label: stat, symerror: 0.1122} + - asymerror: {minus: -0.7412, plus: 0.786346} + label: sys + value: 15.4866 + - errors: + - {label: stat, symerror: 0.07672} + - asymerror: {minus: -0.350742, plus: 0.376388} + label: sys + value: 7.42885 + - errors: + - {label: stat, symerror: 0.02296} + - asymerror: {minus: -0.163023, plus: 0.176758} + label: sys + value: 3.46719 + - errors: + - {label: stat, symerror: 0.01514} + - asymerror: {minus: -0.0757705, plus: 0.0829173} + label: sys + value: 1.60176 + - errors: + - {label: stat, symerror: 0.01012} + - asymerror: {minus: -0.0352618, plus: 0.0389273} + label: sys + value: 0.73347 + - errors: + - {label: stat, symerror: 0.003203} + - asymerror: {minus: -0.0155556, plus: 0.0173395} + label: sys + value: 0.315326 + - errors: + - {label: stat, symerror: 0.002003} + - asymerror: {minus: -0.00684043, plus: 0.00772359} + label: sys + value: 0.133752 + - errors: + - {label: stat, symerror: 0.001234} + - asymerror: {minus: -0.00278274, plus: 0.00320289} + label: sys + value: 0.0520284 + - errors: + - {label: stat, symerror: 0.0001707} + - asymerror: {minus: -0.00114523, plus: 0.00135607} + label: sys + value: 0.0203303 + - errors: + - {label: stat, symerror: 9.759e-05} + - asymerror: {minus: -0.000426875, plus: 0.000526811} + label: sys + value: 0.00714364 + - errors: + - {label: stat, symerror: 5.448e-05} + - asymerror: {minus: -0.000148539, plus: 0.000194034} + label: sys + value: 0.00232984 + - errors: + - {label: stat, symerror: 2.905e-05} + - asymerror: {minus: -4.73731e-05, plus: 6.65257e-05} + label: sys + value: 0.000693809 + - errors: + - {label: stat, symerror: 1.44e-05} + - asymerror: {minus: -1.33412e-05, plus: 2.04456e-05} + label: sys + value: 0.000181803 + - errors: + - {label: stat, symerror: 6.828e-06} + - asymerror: {minus: -3.3995e-06, plus: 5.7574e-06} + label: sys + value: 4.30022e-05 + - errors: + - {label: stat, symerror: 2.424e-06} + - asymerror: {minus: -4.972e-07, plus: 9.401e-07} + label: sys + value: 5.8302e-06 + - errors: + - {label: stat, symerror: 8.398e-07} + - asymerror: {minus: -7.03e-08, plus: 1.496e-07} + label: sys + value: 7.634e-07 +independent_variables: +- header: {name: PT, units: GEV} + values: + - {high: 24.0, low: 21.0} + - {high: 28.0, low: 24.0} + - {high: 32.0, low: 28.0} + - {high: 37.0, low: 32.0} + - {high: 43.0, low: 37.0} + - {high: 49.0, low: 43.0} + - {high: 56.0, low: 49.0} + - {high: 64.0, low: 56.0} + - {high: 74.0, low: 64.0} + - {high: 84.0, low: 74.0} + - {high: 97.0, low: 84.0} + - {high: 114.0, low: 97.0} + - {high: 133.0, low: 114.0} + - {high: 153.0, low: 133.0} + - {high: 174.0, low: 153.0} + - {high: 196.0, low: 174.0} + - {high: 220.0, low: 196.0} + - {high: 245.0, low: 220.0} + - {high: 272.0, low: 245.0} + - {high: 300.0, low: 272.0} + - {high: 330.0, low: 300.0} + - {high: 362.0, low: 330.0} + - {high: 395.0, low: 362.0} + - {high: 430.0, low: 395.0} + - {high: 468.0, low: 430.0} + - {high: 507.0, low: 468.0} + - {high: 548.0, low: 507.0} + - {high: 592.0, low: 548.0} + - {high: 638.0, low: 592.0} + - {high: 686.0, low: 638.0} + - {high: 737.0, low: 686.0} + - {high: 790.0, low: 737.0} + - {high: 846.0, low: 790.0} + - {high: 905.0, low: 846.0} diff --git a/buildmaster/CMS_1JET_8TEV/rawdata/HEPData-ins1487277-v1-Table_6.yaml b/buildmaster/CMS_1JET_8TEV/rawdata/HEPData-ins1487277-v1-Table_6.yaml new file mode 100644 index 0000000000..c38ba5faa9 --- /dev/null +++ b/buildmaster/CMS_1JET_8TEV/rawdata/HEPData-ins1487277-v1-Table_6.yaml @@ -0,0 +1,172 @@ +dependent_variables: +- header: {name: D2(SIG)/DPT/DABS(YRAP), units: PB/GEV} + qualifiers: + - {name: ABS(YRAP), value: 2.5 TO 3.0} + - {name: RE, value: P P --> JET X} + - {name: SQRT(S), units: GEV, value: '8000.0'} + values: + - errors: + - {label: stat, symerror: 120048.0} + - asymerror: {minus: -4134920.0, plus: 3482420.0} + label: sys + value: 9178000.0 + - errors: + - {label: stat, symerror: 74739.3} + - asymerror: {minus: -1385830.0, plus: 1302440.0} + label: sys + value: 4412000.0 + - errors: + - {label: stat, symerror: 52464.7} + - asymerror: {minus: -485545.0, plus: 457945.0} + label: sys + value: 2014000.0 + - errors: + - {label: stat, symerror: 43514.8} + - asymerror: {minus: -197210.0, plus: 191785.0} + label: sys + value: 978300.0 + - errors: + - {label: stat, symerror: 27763.7} + - asymerror: {minus: -88145.9, plus: 85894.8} + label: sys + value: 486400.0 + - errors: + - {label: stat, symerror: 16319.7} + - asymerror: {minus: -37094.9, plus: 35621.8} + label: sys + value: 225100.0 + - errors: + - {label: stat, symerror: 12115.5} + - asymerror: {minus: -17608.2, plus: 18012.4} + label: sys + value: 119600.0 + - errors: + - {label: stat, symerror: 7852.03} + - asymerror: {minus: -8979.17, plus: 9022.44} + label: sys + value: 63170.0 + - errors: + - {label: stat, symerror: 3858.51} + - asymerror: {minus: -4109.64, plus: 4226.48} + label: sys + value: 29320.0 + - errors: + - {label: stat, symerror: 147.2} + - asymerror: {minus: -1438.1, plus: 1349.15} + label: sys + value: 12492.6 + - errors: + - {label: stat, symerror: 92.08} + - asymerror: {minus: -607.575, plus: 575.724} + label: sys + value: 5885.76 + - errors: + - {label: stat, symerror: 52.55} + - asymerror: {minus: -227.406, plus: 219.187} + label: sys + value: 2481.03 + - errors: + - {label: stat, symerror: 31.58} + - asymerror: {minus: -78.8372, plus: 77.8742} + label: sys + value: 957.669 + - errors: + - {label: stat, symerror: 4.494} + - asymerror: {minus: -28.3238, plus: 28.7661} + label: sys + value: 370.346 + - errors: + - {label: stat, symerror: 2.732} + - asymerror: {minus: -11.1577, plus: 11.6263} + label: sys + value: 150.926 + - errors: + - {label: stat, symerror: 1.389} + - asymerror: {minus: -4.56203, plus: 4.84881} + label: sys + value: 61.5716 + - errors: + - {label: stat, symerror: 0.7239} + - asymerror: {minus: -1.87522, plus: 2.01894} + label: sys + value: 24.5217 + - errors: + - {label: stat, symerror: 0.121} + - asymerror: {minus: -0.751228, plus: 0.814288} + label: sys + value: 9.31754 + - errors: + - {label: stat, symerror: 0.06876} + - asymerror: {minus: -0.307739, plus: 0.334191} + label: sys + value: 3.57007 + - errors: + - {label: stat, symerror: 0.02864} + - asymerror: {minus: -0.117479, plus: 0.1274} + label: sys + value: 1.26343 + - errors: + - {label: stat, symerror: 0.008469} + - asymerror: {minus: -0.0428374, plus: 0.0462753} + label: sys + value: 0.424595 + - errors: + - {label: stat, symerror: 0.004428} + - asymerror: {minus: -0.015086, plus: 0.0161982} + label: sys + value: 0.137002 + - errors: + - {label: stat, symerror: 0.002461} + - asymerror: {minus: -0.00463178, plus: 0.00493432} + label: sys + value: 0.038388 + - errors: + - {label: stat, symerror: 0.0005875} + - asymerror: {minus: -0.00126055, plus: 0.00132996} + label: sys + value: 0.00949764 + - errors: + - {label: stat, symerror: 0.000282} + - asymerror: {minus: -0.000291898, plus: 0.000304338} + label: sys + value: 0.00198574 + - errors: + - {label: stat, symerror: 0.0001234} + - asymerror: {minus: -6.40445e-05, plus: 6.58684e-05} + label: sys + value: 0.000391317 + - errors: + - {label: stat, symerror: 8.907e-06} + - asymerror: {minus: -7.0671e-06, plus: 7.1597e-06} + label: sys + value: 3.86442e-05 +independent_variables: +- header: {name: PT, units: GEV} + values: + - {high: 24.0, low: 21.0} + - {high: 28.0, low: 24.0} + - {high: 32.0, low: 28.0} + - {high: 37.0, low: 32.0} + - {high: 43.0, low: 37.0} + - {high: 49.0, low: 43.0} + - {high: 56.0, low: 49.0} + - {high: 64.0, low: 56.0} + - {high: 74.0, low: 64.0} + - {high: 84.0, low: 74.0} + - {high: 97.0, low: 84.0} + - {high: 114.0, low: 97.0} + - {high: 133.0, low: 114.0} + - {high: 153.0, low: 133.0} + - {high: 174.0, low: 153.0} + - {high: 196.0, low: 174.0} + - {high: 220.0, low: 196.0} + - {high: 245.0, low: 220.0} + - {high: 272.0, low: 245.0} + - {high: 300.0, low: 272.0} + - {high: 330.0, low: 300.0} + - {high: 362.0, low: 330.0} + - {high: 395.0, low: 362.0} + - {high: 430.0, low: 395.0} + - {high: 468.0, low: 430.0} + - {high: 507.0, low: 468.0} + - {high: 548.0, low: 507.0} From fcfb27c083173738f80c3c66f9e54c38080baa32 Mon Sep 17 00:00:00 2001 From: Mark Nestor Costantini Date: Thu, 13 Apr 2023 18:08:01 +0100 Subject: [PATCH 35/40] added func to read stat corr dat --- buildmaster/CMS_1JET_8TEV/filter.py | 7 +++ buildmaster/CMS_1JET_8TEV/filter_utils.py | 59 ++++++++++++++++++++++- 2 files changed, 65 insertions(+), 1 deletion(-) diff --git a/buildmaster/CMS_1JET_8TEV/filter.py b/buildmaster/CMS_1JET_8TEV/filter.py index dfb08d26cf..43cd30b5a0 100644 --- a/buildmaster/CMS_1JET_8TEV/filter.py +++ b/buildmaster/CMS_1JET_8TEV/filter.py @@ -42,6 +42,13 @@ def filter_CMS_1JET_8TEV_data_kinetic(): yaml.dump(kinematics_yaml, file, sort_keys=False) +def filter_CMS_1JET_8TEV_uncertainties(): + """ + + """ + + + if __name__ == "__main__": diff --git a/buildmaster/CMS_1JET_8TEV/filter_utils.py b/buildmaster/CMS_1JET_8TEV/filter_utils.py index 460d3107a5..585608864e 100644 --- a/buildmaster/CMS_1JET_8TEV/filter_utils.py +++ b/buildmaster/CMS_1JET_8TEV/filter_utils.py @@ -3,8 +3,10 @@ """ import yaml +import numpy as np import logging + log = logging.getLogger(__name__) table_to_rapidity = {1: [0.,0.5], 2: [0.5,1.], 3:[1.,1.5], 4:[1.5,2], 5:[2.,2.5], 6:[2.5,3.0]} @@ -101,5 +103,60 @@ def get_kinematics(tables,version): return kin +def get_shape(correlation_file): + """ + returns the shape of the statistical correlation + matrix. + + Parameters + ---------- + correlation_file : list + list whose entries are the rows of the + correlation file + + Returns + ------- + int + integer giving the shape of the corr matrix + + """ + shape_list = [] + for i, line in enumerate(correlation_file): + # 74 is the lowest pt and is common to all .dat files + if len(line.split()) >= 5 and line.split()[-2] == '74': + shape_list.append(i) + if len(shape_list) == 2: + return shape_list[1]-shape_list[0] + + +def get_stat_correlations(): + """ + + Returns + ------- + np.array + + """ + with open('rawdata/CMS_8TeV_jets_Ybin6___CMS_8TeV_jets_Ybin6.dat','r') as file: + card = file.readlines() + + # get shape of matrix + shape_mat = get_shape(card) + print(shape_mat) + + stat_corr = np.zeros((shape_mat,shape_mat)) + + # correlation rows always start at row 18 + for j in range(shape_mat): + # fill rows of correlation matrix + stat_corr[j,:] = np.array([card[(17 + shape_mat * j)+ k].split()[-1] for k in range(shape_mat)]) + + + return stat_corr + + + if __name__ == "__main__": - print(get_kinematics(tables=[1],version=1)) \ No newline at end of file + # print(get_kinematics(tables=[1],version=1)) + + print(get_stat_correlations()) \ No newline at end of file From 573c098c0ba564a9a06326b1f51ab91ad99c28ae Mon Sep 17 00:00:00 2001 From: Mark Nestor Costantini Date: Mon, 17 Apr 2023 12:10:38 +0100 Subject: [PATCH 36/40] added space for readability by pd.read_csv --- buildmaster/CMS_1JET_8TEV/rawdata/CMS_8TeV_jets_Ybin3.dat | 2 +- buildmaster/CMS_1JET_8TEV/rawdata/CMS_8TeV_jets_Ybin4.dat | 2 +- buildmaster/CMS_1JET_8TEV/rawdata/CMS_8TeV_jets_Ybin5.dat | 2 +- buildmaster/CMS_1JET_8TEV/rawdata/CMS_8TeV_jets_Ybin6.dat | 2 +- 4 files changed, 4 insertions(+), 4 deletions(-) diff --git a/buildmaster/CMS_1JET_8TEV/rawdata/CMS_8TeV_jets_Ybin3.dat b/buildmaster/CMS_1JET_8TEV/rawdata/CMS_8TeV_jets_Ybin3.dat index c6da344e7a..0b39d83c3a 100644 --- a/buildmaster/CMS_1JET_8TEV/rawdata/CMS_8TeV_jets_Ybin3.dat +++ b/buildmaster/CMS_1JET_8TEV/rawdata/CMS_8TeV_jets_Ybin3.dat @@ -17,7 +17,7 @@ NDATA = 46 NColumn = 63 ColumnType = 'Flag', 'Bin', 'Bin', 'Bin', 'Bin', 'Sigma', 'Dummy', 'Error', 'Error', 'Error', 52*'Error', 'Error' - ColumnName = 'binFlag','ylow', 'yhigh', 'ptlow', 'pthigh', 'Sigma', 'NPCorr', 'npcorerr+', 'npcorerr-', 'ignore', 'Unfolding+', 'Unfolding-', 'AbsoluteStat+', 'AbsoluteStat-', 'AbsoluteScale+', 'AbsoluteScale-', 'AbsoluteMPFBias+', 'AbsoluteMPFBias-', 'Fragmentation+', 'Fragmentation-', 'SinglePionECAL+', 'SinglePionECAL-', 'SinglePionHCAL+', 'SinglePionHCAL-', 'FlavorQCD+', 'FlavorQCD-', 'RelativeJEREC1+', 'RelativeJEREC1-', 'RelativeJEREC2+', 'RelativeJEREC2-', 'RelativeJERHF+', 'RelativeJERHF-', 'RelativePtBB+', 'RelativePtBB-', 'RelativePtEC1+', 'RelativePtEC1-', 'RelativePtEC2+', 'RelativePtEC2-', 'RelativePtHF+', 'RelativePtHF-', 'RelativeFSR+', 'RelativeFSR-', 'RelativeStatEC2+', 'RelativeStatEC2-', 'RelativeStatHF+', 'RelativeStatHF-', 'PileUpDataMC+', 'PileUpDataMC-', 'PileUpPtRef+', 'PileUpPtRef-', 'PileUpPtBB+', 'PileUpPtBB-', 'PileUpPtEC1+', 'PileUpPtEC1-', 'PileUpPtEC2+', 'PileUpPtEC2-', 'PileUpPtHF+', 'PileUpPtHF-','RelativeStatFSR+','RelativeStatFSR-', 'Luminosity', 'stat', 'uncor' + ColumnName = 'binFlag', 'ylow', 'yhigh', 'ptlow', 'pthigh', 'Sigma', 'NPCorr', 'npcorerr+', 'npcorerr-', 'ignore', 'Unfolding+', 'Unfolding-', 'AbsoluteStat+', 'AbsoluteStat-', 'AbsoluteScale+', 'AbsoluteScale-', 'AbsoluteMPFBias+', 'AbsoluteMPFBias-', 'Fragmentation+', 'Fragmentation-', 'SinglePionECAL+', 'SinglePionECAL-', 'SinglePionHCAL+', 'SinglePionHCAL-', 'FlavorQCD+', 'FlavorQCD-', 'RelativeJEREC1+', 'RelativeJEREC1-', 'RelativeJEREC2+', 'RelativeJEREC2-', 'RelativeJERHF+', 'RelativeJERHF-', 'RelativePtBB+', 'RelativePtBB-', 'RelativePtEC1+', 'RelativePtEC1-', 'RelativePtEC2+', 'RelativePtEC2-', 'RelativePtHF+', 'RelativePtHF-', 'RelativeFSR+', 'RelativeFSR-', 'RelativeStatEC2+', 'RelativeStatEC2-', 'RelativeStatHF+', 'RelativeStatHF-', 'PileUpDataMC+', 'PileUpDataMC-', 'PileUpPtRef+', 'PileUpPtRef-', 'PileUpPtBB+', 'PileUpPtBB-', 'PileUpPtEC1+', 'PileUpPtEC1-', 'PileUpPtEC2+', 'PileUpPtEC2-', 'PileUpPtHF+', 'PileUpPtHF-','RelativeStatFSR+','RelativeStatFSR-', 'Luminosity', 'stat', 'uncor' NInfo = 4 DataInfo = 8000., 1., -1., -1. CInfo = 'sqrt(S)', 'PublicationUnits', 'MurDef', 'MufDef' diff --git a/buildmaster/CMS_1JET_8TEV/rawdata/CMS_8TeV_jets_Ybin4.dat b/buildmaster/CMS_1JET_8TEV/rawdata/CMS_8TeV_jets_Ybin4.dat index fe2db6588f..5cccd8e6b6 100644 --- a/buildmaster/CMS_1JET_8TEV/rawdata/CMS_8TeV_jets_Ybin4.dat +++ b/buildmaster/CMS_1JET_8TEV/rawdata/CMS_8TeV_jets_Ybin4.dat @@ -17,7 +17,7 @@ NDATA = 40 NColumn = 63 ColumnType = 'Flag','Bin', 'Bin', 'Bin', 'Bin', 'Sigma', 'Dummy', 'Error', 'Error', 'Error', 52*'Error', 'Error' - ColumnName = 'binFlag','ylow', 'yhigh', 'ptlow', 'pthigh', 'Sigma', 'NPCorr', 'npcorerr+', 'npcorerr-', 'ignore', 'Unfolding+', 'Unfolding-', 'AbsoluteStat+', 'AbsoluteStat-', 'AbsoluteScale+', 'AbsoluteScale-', 'AbsoluteMPFBias+', 'AbsoluteMPFBias-', 'Fragmentation+', 'Fragmentation-', 'SinglePionECAL+', 'SinglePionECAL-', 'SinglePionHCAL+', 'SinglePionHCAL-', 'FlavorQCD+', 'FlavorQCD-', 'RelativeJEREC1+', 'RelativeJEREC1-', 'RelativeJEREC2+', 'RelativeJEREC2-', 'RelativeJERHF+', 'RelativeJERHF-', 'RelativePtBB+', 'RelativePtBB-', 'RelativePtEC1+', 'RelativePtEC1-', 'RelativePtEC2+', 'RelativePtEC2-', 'RelativePtHF+', 'RelativePtHF-', 'RelativeFSR+', 'RelativeFSR-', 'RelativeStatEC2+', 'RelativeStatEC2-', 'RelativeStatHF+', 'RelativeStatHF-', 'PileUpDataMC+', 'PileUpDataMC-', 'PileUpPtRef+', 'PileUpPtRef-', 'PileUpPtBB+', 'PileUpPtBB-', 'PileUpPtEC1+', 'PileUpPtEC1-', 'PileUpPtEC2+', 'PileUpPtEC2-', 'PileUpPtHF+', 'PileUpPtHF-','RelativeStatFSR+','RelativeStatFSR-', 'Luminosity', 'stat', 'uncor' + ColumnName = 'binFlag', 'ylow', 'yhigh', 'ptlow', 'pthigh', 'Sigma', 'NPCorr', 'npcorerr+', 'npcorerr-', 'ignore', 'Unfolding+', 'Unfolding-', 'AbsoluteStat+', 'AbsoluteStat-', 'AbsoluteScale+', 'AbsoluteScale-', 'AbsoluteMPFBias+', 'AbsoluteMPFBias-', 'Fragmentation+', 'Fragmentation-', 'SinglePionECAL+', 'SinglePionECAL-', 'SinglePionHCAL+', 'SinglePionHCAL-', 'FlavorQCD+', 'FlavorQCD-', 'RelativeJEREC1+', 'RelativeJEREC1-', 'RelativeJEREC2+', 'RelativeJEREC2-', 'RelativeJERHF+', 'RelativeJERHF-', 'RelativePtBB+', 'RelativePtBB-', 'RelativePtEC1+', 'RelativePtEC1-', 'RelativePtEC2+', 'RelativePtEC2-', 'RelativePtHF+', 'RelativePtHF-', 'RelativeFSR+', 'RelativeFSR-', 'RelativeStatEC2+', 'RelativeStatEC2-', 'RelativeStatHF+', 'RelativeStatHF-', 'PileUpDataMC+', 'PileUpDataMC-', 'PileUpPtRef+', 'PileUpPtRef-', 'PileUpPtBB+', 'PileUpPtBB-', 'PileUpPtEC1+', 'PileUpPtEC1-', 'PileUpPtEC2+', 'PileUpPtEC2-', 'PileUpPtHF+', 'PileUpPtHF-','RelativeStatFSR+','RelativeStatFSR-', 'Luminosity', 'stat', 'uncor' NInfo = 4 DataInfo = 8000., 1., -1., -1. CInfo = 'sqrt(S)', 'PublicationUnits', 'MurDef', 'MufDef' diff --git a/buildmaster/CMS_1JET_8TEV/rawdata/CMS_8TeV_jets_Ybin5.dat b/buildmaster/CMS_1JET_8TEV/rawdata/CMS_8TeV_jets_Ybin5.dat index 67f1bb17ec..cc37f94a3d 100644 --- a/buildmaster/CMS_1JET_8TEV/rawdata/CMS_8TeV_jets_Ybin5.dat +++ b/buildmaster/CMS_1JET_8TEV/rawdata/CMS_8TeV_jets_Ybin5.dat @@ -17,7 +17,7 @@ NDATA = 35 NColumn = 63 ColumnType = 'Flag','Bin', 'Bin', 'Bin', 'Bin', 'Sigma', 'Dummy', 'Error', 'Error', 'Error', 52*'Error', 'Error' - ColumnName = 'binFlag','ylow', 'yhigh', 'ptlow', 'pthigh', 'Sigma', 'NPCorr', 'npcorerr+', 'npcorerr-', 'ignore', 'Unfolding+', 'Unfolding-', 'AbsoluteStat+', 'AbsoluteStat-', 'AbsoluteScale+', 'AbsoluteScale-', 'AbsoluteMPFBias+', 'AbsoluteMPFBias-', 'Fragmentation+', 'Fragmentation-', 'SinglePionECAL+', 'SinglePionECAL-', 'SinglePionHCAL+', 'SinglePionHCAL-', 'FlavorQCD+', 'FlavorQCD-', 'RelativeJEREC1+', 'RelativeJEREC1-', 'RelativeJEREC2+', 'RelativeJEREC2-', 'RelativeJERHF+', 'RelativeJERHF-', 'RelativePtBB+', 'RelativePtBB-', 'RelativePtEC1+', 'RelativePtEC1-', 'RelativePtEC2+', 'RelativePtEC2-', 'RelativePtHF+', 'RelativePtHF-', 'RelativeFSR+', 'RelativeFSR-', 'RelativeStatEC2+', 'RelativeStatEC2-', 'RelativeStatHF+', 'RelativeStatHF-', 'PileUpDataMC+', 'PileUpDataMC-', 'PileUpPtRef+', 'PileUpPtRef-', 'PileUpPtBB+', 'PileUpPtBB-', 'PileUpPtEC1+', 'PileUpPtEC1-', 'PileUpPtEC2+', 'PileUpPtEC2-', 'PileUpPtHF+', 'PileUpPtHF-','RelativeStatFSR+','RelativeStatFSR-', 'Luminosity', 'stat', 'uncor' + ColumnName = 'binFlag', 'ylow', 'yhigh', 'ptlow', 'pthigh', 'Sigma', 'NPCorr', 'npcorerr+', 'npcorerr-', 'ignore', 'Unfolding+', 'Unfolding-', 'AbsoluteStat+', 'AbsoluteStat-', 'AbsoluteScale+', 'AbsoluteScale-', 'AbsoluteMPFBias+', 'AbsoluteMPFBias-', 'Fragmentation+', 'Fragmentation-', 'SinglePionECAL+', 'SinglePionECAL-', 'SinglePionHCAL+', 'SinglePionHCAL-', 'FlavorQCD+', 'FlavorQCD-', 'RelativeJEREC1+', 'RelativeJEREC1-', 'RelativeJEREC2+', 'RelativeJEREC2-', 'RelativeJERHF+', 'RelativeJERHF-', 'RelativePtBB+', 'RelativePtBB-', 'RelativePtEC1+', 'RelativePtEC1-', 'RelativePtEC2+', 'RelativePtEC2-', 'RelativePtHF+', 'RelativePtHF-', 'RelativeFSR+', 'RelativeFSR-', 'RelativeStatEC2+', 'RelativeStatEC2-', 'RelativeStatHF+', 'RelativeStatHF-', 'PileUpDataMC+', 'PileUpDataMC-', 'PileUpPtRef+', 'PileUpPtRef-', 'PileUpPtBB+', 'PileUpPtBB-', 'PileUpPtEC1+', 'PileUpPtEC1-', 'PileUpPtEC2+', 'PileUpPtEC2-', 'PileUpPtHF+', 'PileUpPtHF-','RelativeStatFSR+','RelativeStatFSR-', 'Luminosity', 'stat', 'uncor' NInfo = 4 DataInfo = 8000., 1., -1., -1. CInfo = 'sqrt(S)', 'PublicationUnits', 'MurDef', 'MufDef' diff --git a/buildmaster/CMS_1JET_8TEV/rawdata/CMS_8TeV_jets_Ybin6.dat b/buildmaster/CMS_1JET_8TEV/rawdata/CMS_8TeV_jets_Ybin6.dat index 8ff376e1c4..48a78073f9 100644 --- a/buildmaster/CMS_1JET_8TEV/rawdata/CMS_8TeV_jets_Ybin6.dat +++ b/buildmaster/CMS_1JET_8TEV/rawdata/CMS_8TeV_jets_Ybin6.dat @@ -17,7 +17,7 @@ NDATA = 29 NColumn = 63 ColumnType = 'Flag','Bin', 'Bin', 'Bin', 'Bin', 'Sigma', 'Dummy', 'Error', 'Error', 'Error', 52*'Error', 'Error' - ColumnName = 'binFlag','ylow', 'yhigh', 'ptlow', 'pthigh', 'Sigma', 'NPCorr', 'npcorerr+', 'npcorerr-', 'ignore', 'Unfolding+', 'Unfolding-', 'AbsoluteStat+', 'AbsoluteStat-', 'AbsoluteScale+', 'AbsoluteScale-', 'AbsoluteMPFBias+', 'AbsoluteMPFBias-', 'Fragmentation+', 'Fragmentation-', 'SinglePionECAL+', 'SinglePionECAL-', 'SinglePionHCAL+', 'SinglePionHCAL-', 'FlavorQCD+', 'FlavorQCD-', 'RelativeJEREC1+', 'RelativeJEREC1-', 'RelativeJEREC2+', 'RelativeJEREC2-', 'RelativeJERHF+', 'RelativeJERHF-', 'RelativePtBB+', 'RelativePtBB-', 'RelativePtEC1+', 'RelativePtEC1-', 'RelativePtEC2+', 'RelativePtEC2-', 'RelativePtHF+', 'RelativePtHF-', 'RelativeFSR+', 'RelativeFSR-', 'RelativeStatEC2+', 'RelativeStatEC2-', 'RelativeStatHF+', 'RelativeStatHF-', 'PileUpDataMC+', 'PileUpDataMC-', 'PileUpPtRef+', 'PileUpPtRef-', 'PileUpPtBB+', 'PileUpPtBB-', 'PileUpPtEC1+', 'PileUpPtEC1-', 'PileUpPtEC2+', 'PileUpPtEC2-', 'PileUpPtHF+', 'PileUpPtHF-','RelativeStatFSR+','RelativeStatFSR-', 'Luminosity', 'stat', 'uncor' + ColumnName = 'binFlag', 'ylow', 'yhigh', 'ptlow', 'pthigh', 'Sigma', 'NPCorr', 'npcorerr+', 'npcorerr-', 'ignore', 'Unfolding+', 'Unfolding-', 'AbsoluteStat+', 'AbsoluteStat-', 'AbsoluteScale+', 'AbsoluteScale-', 'AbsoluteMPFBias+', 'AbsoluteMPFBias-', 'Fragmentation+', 'Fragmentation-', 'SinglePionECAL+', 'SinglePionECAL-', 'SinglePionHCAL+', 'SinglePionHCAL-', 'FlavorQCD+', 'FlavorQCD-', 'RelativeJEREC1+', 'RelativeJEREC1-', 'RelativeJEREC2+', 'RelativeJEREC2-', 'RelativeJERHF+', 'RelativeJERHF-', 'RelativePtBB+', 'RelativePtBB-', 'RelativePtEC1+', 'RelativePtEC1-', 'RelativePtEC2+', 'RelativePtEC2-', 'RelativePtHF+', 'RelativePtHF-', 'RelativeFSR+', 'RelativeFSR-', 'RelativeStatEC2+', 'RelativeStatEC2-', 'RelativeStatHF+', 'RelativeStatHF-', 'PileUpDataMC+', 'PileUpDataMC-', 'PileUpPtRef+', 'PileUpPtRef-', 'PileUpPtBB+', 'PileUpPtBB-', 'PileUpPtEC1+', 'PileUpPtEC1-', 'PileUpPtEC2+', 'PileUpPtEC2-', 'PileUpPtHF+', 'PileUpPtHF-','RelativeStatFSR+','RelativeStatFSR-', 'Luminosity', 'stat', 'uncor' NInfo = 4 DataInfo = 8000., 1., -1., -1. CInfo = 'sqrt(S)', 'PublicationUnits', 'MurDef', 'MufDef' From 9e037efdc9b04e1d22b48b43462adbadf58e6789 Mon Sep 17 00:00:00 2001 From: Mark Nestor Costantini Date: Mon, 17 Apr 2023 12:11:03 +0100 Subject: [PATCH 37/40] . --- buildmaster/CMS_1JET_8TEV/filter.py | 60 ++++++++- buildmaster/CMS_1JET_8TEV/filter_utils.py | 154 ++++++++++++++++++++-- 2 files changed, 204 insertions(+), 10 deletions(-) diff --git a/buildmaster/CMS_1JET_8TEV/filter.py b/buildmaster/CMS_1JET_8TEV/filter.py index 43cd30b5a0..ec3b189873 100644 --- a/buildmaster/CMS_1JET_8TEV/filter.py +++ b/buildmaster/CMS_1JET_8TEV/filter.py @@ -8,7 +8,9 @@ import yaml from filter_utils import ( - get_data_values, get_kinematics + get_data_values, get_kinematics, + get_stat_uncertainties, block_diagonal_corr, + correlation_to_covariance, uncertainties_df ) @@ -47,10 +49,64 @@ def filter_CMS_1JET_8TEV_uncertainties(): """ + with open('metadata.yaml', 'r') as file: + metadata = yaml.safe_load(file) + + version = metadata['hepdata']['version'] + tables = metadata['hepdata']['tables'] + + # get dataframe of uncertainties + df_unc = uncertainties_df(tables) + + # construct block diagonal statistical covariance matrix + bd_stat_cov = correlation_to_covariance(block_diagonal_corr(tables), get_stat_uncertainties()) + # luminosity + lum_unc = df_unc['Luminosity'] + print(lum_unc) + + + covmat = bd_stat_cov + + return covmat if __name__ == "__main__": # write data central values and kinematics to file - filter_CMS_1JET_8TEV_data_kinetic() \ No newline at end of file + # filter_CMS_1JET_8TEV_data_kinetic() + covmat = filter_CMS_1JET_8TEV_uncertainties() + + from validphys.api import API + from validphys.commondataparser import parse_commondata + from validphys.loader import Loader + from validphys.covmats import dataset_inputs_covmat_from_systematics + + l = Loader() + dat_file = "/Users/markcostantini/codes/nnpdfgit/nnpdf/nnpdfcpp/data/commondata/DATA_CMS_1JET_8TEV.dat" + systype_file = "/Users/markcostantini/codes/nnpdfgit/nnpdf/nnpdfcpp/data/commondata/systypes/SYSTYPE_CMS_1JET_8TEV_DEFAULT.dat" + setname = "CMS_1JET_8TEV" + + cd = parse_commondata(dat_file,systype_file,setname) + dataset_input = l.check_dataset(setname,theoryid=200) + + cmat = dataset_inputs_covmat_from_systematics( + dataset_inputs_loaded_cd_with_cuts=[cd], + data_input = [dataset_input], + use_weights_in_covmat=False, + norm_threshold=None, + _list_of_central_values=None, + _only_additive=False, + ) + + print(covmat / cmat) + + + # why does the API give a 185 x 185 shaped covmat + # i.e. why is it ignoring the low pt stuff + + # inps = [{'dataset': "CMS_1JET_8TEV"}] + # inp = dict(dataset_inputs=inps, theoryid=200, use_cuts="internal") + # cmat = API.dataset_inputs_covmat_from_systematics(**inp) + + \ No newline at end of file diff --git a/buildmaster/CMS_1JET_8TEV/filter_utils.py b/buildmaster/CMS_1JET_8TEV/filter_utils.py index 585608864e..b7e5c9b7c4 100644 --- a/buildmaster/CMS_1JET_8TEV/filter_utils.py +++ b/buildmaster/CMS_1JET_8TEV/filter_utils.py @@ -5,6 +5,8 @@ import yaml import numpy as np import logging +from scipy.linalg import block_diag +import pandas as pd log = logging.getLogger(__name__) @@ -129,20 +131,28 @@ def get_shape(correlation_file): return shape_list[1]-shape_list[0] -def get_stat_correlations(): +def get_stat_correlations(table): """ - + Read a CMS_8TeV_jets_Ybin#___CMS_8TeV_jets_Ybin#.dat + file and output the statistical correlation matrix. + + + Parameters + ---------- + table : int + number of the table + Returns ------- np.array - + 2-D array + """ - with open('rawdata/CMS_8TeV_jets_Ybin6___CMS_8TeV_jets_Ybin6.dat','r') as file: + with open(f'rawdata/CMS_8TeV_jets_Ybin{table}___CMS_8TeV_jets_Ybin{table}.dat','r') as file: card = file.readlines() - # get shape of matrix + # get shape of matrix shape_mat = get_shape(card) - print(shape_mat) stat_corr = np.zeros((shape_mat,shape_mat)) @@ -151,12 +161,140 @@ def get_stat_correlations(): # fill rows of correlation matrix stat_corr[j,:] = np.array([card[(17 + shape_mat * j)+ k].split()[-1] for k in range(shape_mat)]) - return stat_corr +def block_diagonal_corr(tables): + """ + forms block diagonal correlation matrix + for stat uncertainties. Each block corresponds + to a rapidity bin. + Null correlations are associated to the points + below the nominal pT cut (pT<74 GeV) for which the + information on correlations is not available. + + Parameters + ---------- + tables : list + list of integers numbering the tables + + Returns + ------- + np.array + block diagonal matrix of dim ndata x ndata + """ + + # null correlations for points below nominal pT cut + null_correlations = np.zeros((9,9)) + + bd_corr = block_diag(null_correlations,get_stat_correlations(tables[0])) + + for table in tables[1:]: + tmp_corr = block_diag(null_correlations,get_stat_correlations(table)) + bd_corr = block_diag(bd_corr,tmp_corr) + + return bd_corr + +def correlation_to_covariance(correlation, uncertainties): + """ + Converts a correlation matrix into a covariance matrix + using a list of uncertainties. + + Parameters: + ----------- + correlation : np.ndarray + A square matrix of correlations. + uncertainties : np.ndarray + A 1D array of uncertainties. + + Returns: + -------- + np.ndarray + The corresponding covariance matrix. + """ + covariance = np.outer(uncertainties, uncertainties) * correlation + return covariance + +def get_stat_uncertainties(): + """ + function used to get the statistical + uncertainty from the HEPdata tables. + + Returns + ------- + np.array + array with ordered stat errors for all tables + + """ + + with open('metadata.yaml', 'r') as file: + metadata = yaml.safe_load(file) + + version = metadata['hepdata']['version'] + tables = metadata['hepdata']['tables'] + + stat_err = [] + + for table in tables: + + hepdata_tables = f"rawdata/HEPData-ins1487277-v{version}-Table_{table}.yaml" + with open(hepdata_tables, 'r') as file: + input = yaml.safe_load(file) + + for err in input['dependent_variables'][0]['values']: + stat_err.append(err['errors'][0]['symerror']) + + return np.array(stat_err) + +def get_uncertainties_df(table): + """ + + """ + + with open(f"rawdata/CMS_8TeV_jets_Ybin{table}.dat",'r') as file: + card = file.readlines() + + for line in card: + if "ColumnName" in line: + columns = line.split() + columns = [col.strip(", '") for col in columns[2:]] + + + + + # ignore ColumnName, =, and binFlag + + # columns = columns[3:] + + # read dat file into dataframe by skipping the first 41 metadata rows + df = pd.read_csv(f"rawdata/CMS_8TeV_jets_Ybin{table}.dat", sep="\s+", skiprows = 41, names = columns) + + # reindex + df = df.reset_index(drop=True) + + return df + +def uncertainties_df(tables): + """ + """ + dfs = [] + + for table in tables: + dfs.append(get_uncertainties_df(table)) + df = pd.concat(dfs,axis = 0) + return df + + if __name__ == "__main__": # print(get_kinematics(tables=[1],version=1)) - print(get_stat_correlations()) \ No newline at end of file + # print(get_stat_correlations()) + # bd = block_diagonal_corr(tables=[1,2,3,4,5,6]) + # stat = get_stat_uncertainties() + # print(stat) + df = uncertainties_df([1,2,3,4,5,6]) + print(df) + print(df.columns) + print(df.Sigma) + From 3e640c4a314c90fa4b1e275715a62612201177f8 Mon Sep 17 00:00:00 2001 From: Mark Nestor Costantini Date: Mon, 31 Jul 2023 16:31:20 +0100 Subject: [PATCH 38/40] small modifications to ATLAS_1JET_8TEV_R06 --- buildmaster/ATLAS_1JET_8TEV_R06/filter.py | 162 +- .../ATLAS_1JET_8TEV_R06/uncertainties.yaml | 58438 ++++++++-------- 2 files changed, 29289 insertions(+), 29311 deletions(-) diff --git a/buildmaster/ATLAS_1JET_8TEV_R06/filter.py b/buildmaster/ATLAS_1JET_8TEV_R06/filter.py index 3c6884dfc2..63305e1508 100644 --- a/buildmaster/ATLAS_1JET_8TEV_R06/filter.py +++ b/buildmaster/ATLAS_1JET_8TEV_R06/filter.py @@ -1,14 +1,12 @@ import yaml import numpy as np import pandas as pd -from filter_utils import ( - get_data_values, get_kinematics, - fill_df, decompose_covmat - ) +from filter_utils import get_data_values, get_kinematics, fill_df, decompose_covmat -# ignore pandas warning +# ignore pandas warning import warnings -warnings.filterwarnings('ignore') + +warnings.filterwarnings("ignore") def filter_ATLAS_1JET_8TEV_data_kinetic(): @@ -18,26 +16,26 @@ def filter_ATLAS_1JET_8TEV_data_kinetic(): respectively. """ - with open('metadata.yaml', 'r') as file: + with open("metadata.yaml", "r") as file: metadata = yaml.safe_load(file) - version = metadata['hepdata']['version'] - tables = metadata['hepdata']['tables'] + version = metadata["hepdata"]["version"] + tables = metadata["hepdata"]["tables"] # get kinematics from hepdata tables - kin = get_kinematics(tables,version) + kin = get_kinematics(tables, version) # get central values from hepdata tables - data_central = get_data_values(tables,version) - - data_central_yaml = { 'data_central' : data_central } - kinematics_yaml = { 'bins' : kin } + data_central = get_data_values(tables, version) + + data_central_yaml = {"data_central": data_central} + kinematics_yaml = {"bins": kin} # write central values and kinematics to yaml file - with open('data.yaml', 'w') as file: + with open("data.yaml", "w") as file: yaml.dump(data_central_yaml, file, sort_keys=False) - with open('kinematics.yaml', 'w') as file: + with open("kinematics.yaml", "w") as file: yaml.dump(kinematics_yaml, file, sort_keys=False) @@ -53,10 +51,10 @@ def filter_ATLAS_1JET_8TEV_uncertainties(): 2. Artificial Uncertainties: CORR, these are obtained by following the steps: - - Construct an Error matrix in which + - Construct an Error matrix in which each part of an asymmetric error is considered as as separate error (hence dividing by sqrt(2)) - see also filter_utils/process_error and + see also filter_utils/process_error and filter_utils/HEP_table_to_df - Construct covariance matrix from the Error matrix @@ -64,129 +62,109 @@ def filter_ATLAS_1JET_8TEV_uncertainties(): - Decompose covariance matrix so as to get ndat art unc 3. Luminosity Uncertainty: ATLASLUMI12 - this uncertainty is correlated with all + this uncertainty is correlated with all the other ATLASLUMI12 datasets """ - with open('metadata.yaml', 'r') as file: + with open("metadata.yaml", "r") as file: metadata = yaml.safe_load(file) - version = metadata['hepdata']['version'] - tables = metadata['hepdata']['tables'] - + version = metadata["hepdata"]["version"] + tables = metadata["hepdata"]["tables"] + # get df of uncertainties dfs = [] for table in tables: # uncertainties dataframe - df = fill_df(table,version) + df = fill_df(table, version) dfs.append(df) - df_unc = pd.concat([df for df in dfs], axis = 0) - + df_unc = pd.concat([df for df in dfs], axis=0) + # statistical errors fully uncorrelated - stat_errors = df_unc['stat'].to_numpy() + stat_errors = df_unc["stat"].to_numpy() # luminosity errors lum_errors = df_unc["syst_lumi"].to_numpy() - + # note: in the old implementation some sys are decorrelated. # however the systype file used for the covmat construction is # fully correlated (see difference between systype file in buildmaster and nnpdfcpp). - # col_to_drop = ("syst_JES_EtaIntercalibration_Stat98", "syst_JES_MJB_Alpha", - # "syst_JES_Pileup_MuOffset") - # df_unc = df_unc.loc[:, ~df.columns.str.startswith(col_to_drop)] - - A_corr = df_unc.drop(["stat","syst_lumi"],axis =1).to_numpy() / np.sqrt(2.) - cov_corr = np.einsum("ij,kj->ik",A_corr,A_corr) + A_corr = df_unc.drop(["stat", "syst_lumi"], axis=1).to_numpy() / np.sqrt(2.0) + cov_corr = np.einsum("ij,kj->ik", A_corr, A_corr) A_art_corr = decompose_covmat(covmat=cov_corr) - cov_corr1 = np.einsum("ij,kj->ik",A_art_corr,A_art_corr) - print(f"same cov_corr mat? :{np.allclose(cov_corr,cov_corr1)}") # error definition - error_definition = {f"art_sys_corr_{i}" : {"description": f"artificial systematic {i}", - "treatment": "ADD", "type": "CORR"} - for i in range(1,A_art_corr.shape[0]+1)} + error_definition = { + f"art_sys_corr_{i}": { + "description": f"artificial systematic {i}", + "treatment": "ADD", + "type": "CORR", + } + for i in range(1, A_art_corr.shape[0] + 1) + } + + error_definition["luminosity_uncertainty"] = { + "description": "luminosity uncertainty", + "treatment": "ADD", + "type": "ATLASLUMI12", + } + + error_definition["statistical_uncertainty"] = { + "description": "statistical uncertainty", + "treatment": "ADD", + "type": "UNCORR", + } - error_definition["luminosity_uncertainty"] = {"description": "luminosity uncertainty", - "treatment": "ADD", "type": "ATLASLUMI12"} - - error_definition["statistical_uncertainty"] = {"description": "statistical uncertainty", - "treatment": "ADD", "type": "CORR"} - # store error in dict error = [] for n in range(A_art_corr.shape[0]): - error_value={} + error_value = {} for m in range(A_art_corr.shape[1]): - error_value[f"art_sys_corr_{m+1}"] = float(A_art_corr[n,m]) - + error_value[f"art_sys_corr_{m+1}"] = float(A_art_corr[n, m]) + error_value["luminosity_uncertainty"] = float(lum_errors[n]) error_value["statistical_uncertainty"] = float(stat_errors[n]) error.append(error_value) uncertainties_yaml = {"definition": error_definition, "bins": error} - + # write uncertainties to file - with open(f"uncertainties.yaml",'w') as file: - yaml.dump(uncertainties_yaml,file, sort_keys=False) - - # code below is only needed for testing and can be removed at some point - cov_lum = np.einsum("i,j->ij",lum_errors,lum_errors) + with open(f"uncertainties.yaml", "w") as file: + yaml.dump(uncertainties_yaml, file, sort_keys=False) + + # @@@@@@@@@@@ code below for testing only, should be removed at some point @@@@@@@@@@@@# + cov_lum = np.einsum("i,j->ij", lum_errors, lum_errors) cov_stat = np.diag(stat_errors**2) + + covmat = cov_corr + cov_stat + cov_lum - covmat = cov_corr + cov_stat + cov_lum - covmat1 = cov_corr1 + cov_stat + cov_lum - print(f"same covmat ?: {np.allclose(covmat,covmat1)}") return np.real(covmat) - -if __name__ == "__main__" : - - # write kinematics and central data values +if __name__ == "__main__": + # # write kinematics and central data values # filter_ATLAS_1JET_8TEV_data_kinetic() + # # write uncertainties file + # filter_ATLAS_1JET_8TEV_uncertainties() + + # code below for testing only. Should be removed at some point covmat = filter_ATLAS_1JET_8TEV_uncertainties() - - from validphys.loader import Loader - from validphys.covmats import dataset_inputs_covmat_from_systematics from validphys.api import API - from validphys.commondataparser import parse_commondata + setname = "ATLAS_1JET_8TEV_R06" dsinps = [ - {'dataset': setname}, - ] + {"dataset": setname}, + ] inp = dict(dataset_inputs=dsinps, theoryid=200, use_cuts="internal") cov = API.dataset_inputs_covmat_from_systematics(**inp) - l = Loader() - cd = l.check_commondata(setname = setname).load_commondata_instance() - dataset_input = l.check_dataset(setname,theoryid=200) - - dat_file = '/Users/markcostantini/codes/nnpdfgit/nnpdf/buildmaster/results/DATA_ATLAS_1JET_8TEV_R06.dat' - # dat_file = '/Users/markcostantini/codes/nnpdfgit/nnpdf/nnpdfcpp/data/commondata/DATA_ATLAS_1JET_8TEV_R06.dat' - - sys_file = '/Users/markcostantini/codes/nnpdfgit/nnpdf/buildmaster/results/systypes/SYSTYPE_ATLAS_1JET_8TEV_R06_DEFAULT.dat' - sys_file = '/Users/markcostantini/codes/nnpdfgit/nnpdf/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLAS_1JET_8TEV_R06_DEFAULT.dat' - - cd = parse_commondata(dat_file,sys_file,setname) - - cmat = dataset_inputs_covmat_from_systematics( - dataset_inputs_loaded_cd_with_cuts=[cd], - data_input = [dataset_input], - use_weights_in_covmat=False, - norm_threshold=None, - _list_of_central_values=None, - _only_additive=False, - ) - - # print(cov / cmat) - # print(np.allclose(cov / cmat, np.ones(cmat.shape))) - + ones = cov / covmat print(ones) print(np.max(ones), np.min(ones)) - print(np.allclose(ones, np.ones(cov.shape), rtol = 1e-5)) \ No newline at end of file + print(np.allclose(ones, np.ones(cov.shape), rtol=1e-5)) diff --git a/buildmaster/ATLAS_1JET_8TEV_R06/uncertainties.yaml b/buildmaster/ATLAS_1JET_8TEV_R06/uncertainties.yaml index 0f4592f3b9..ebcac0c47f 100644 --- a/buildmaster/ATLAS_1JET_8TEV_R06/uncertainties.yaml +++ b/buildmaster/ATLAS_1JET_8TEV_R06/uncertainties.yaml @@ -690,29588 +690,29588 @@ definition: statistical_uncertainty: description: statistical uncertainty treatment: ADD - type: CORR + type: UNCORR bins: -- art_sys_corr_1: -3394.463154397592 - art_sys_corr_2: 524.1214325604792 - art_sys_corr_3: 248.69320675632386 - art_sys_corr_4: 44.568911810380655 - art_sys_corr_5: 72.00574684792991 - art_sys_corr_6: 84.6829000621657 - art_sys_corr_7: 17.241680144918707 - art_sys_corr_8: 3.569728946340419 - art_sys_corr_9: 1.482147060555943 - art_sys_corr_10: -9.36801922113799 - art_sys_corr_11: -1.4707452350735062 - art_sys_corr_12: -2.0163452521011425 - art_sys_corr_13: 1.5490524151980916 - art_sys_corr_14: 0.2548321984532006 - art_sys_corr_15: -0.6160035897526472 - art_sys_corr_16: 0.3951625657654943 - art_sys_corr_17: -0.06521864435705775 - art_sys_corr_18: 0.00040652435863709616 - art_sys_corr_19: 0.01022316324521055 - art_sys_corr_20: 0.12256151466564832 - art_sys_corr_21: -0.06434584459801033 - art_sys_corr_22: 0.009912731783590438 - art_sys_corr_23: -0.008430978048279292 - art_sys_corr_24: 0.004912469099934156 - art_sys_corr_25: 0.020013518407721767 - art_sys_corr_26: 0.0054576416845595385 - art_sys_corr_27: -0.004927520059918337 - art_sys_corr_28: 0.0013973425518073312 - art_sys_corr_29: 0.0016949439964147937 - art_sys_corr_30: -0.0019581158249122725 - art_sys_corr_31: 0.0022275986844250933 - art_sys_corr_32: -0.0005577400494973363 - art_sys_corr_33: 0.0006253521454554173 - art_sys_corr_34: -0.00014854494946494096 - art_sys_corr_35: 2.832278628313656e-05 - art_sys_corr_36: -8.682246222145075e-05 - art_sys_corr_37: -6.604728853817968e-05 - art_sys_corr_38: -4.506361431415412e-05 - art_sys_corr_39: -0.00015953010577604844 - art_sys_corr_40: 5.4558151146588126e-05 - art_sys_corr_41: 5.332071421812947e-05 - art_sys_corr_42: 5.194859030699224e-05 - art_sys_corr_43: -7.732225610353766e-05 - art_sys_corr_44: -5.641485235772821e-05 - art_sys_corr_45: -1.5228505948270991e-05 - art_sys_corr_46: 1.292191406803066e-05 - art_sys_corr_47: -3.0248498675218053e-06 - art_sys_corr_48: 1.3513866651083553e-06 - art_sys_corr_49: 1.414189715489466e-06 - art_sys_corr_50: -2.9081182954333058e-06 - art_sys_corr_51: 2.586812801399519e-06 - art_sys_corr_52: -5.229824751020702e-07 - art_sys_corr_53: -3.488820344884998e-07 - art_sys_corr_54: 1.4569908239932531e-06 - art_sys_corr_55: 8.91847802638396e-07 - art_sys_corr_56: -2.377271248020142e-07 - art_sys_corr_57: -4.712534676020787e-07 - art_sys_corr_58: -1.9861016352214408e-07 - art_sys_corr_59: -3.359396216447606e-07 - art_sys_corr_60: -9.395872368480633e-08 - art_sys_corr_61: 2.8126164259771483e-07 - art_sys_corr_62: 8.314952418252434e-08 - art_sys_corr_63: -4.7973284424368084e-09 - art_sys_corr_64: 1.6997101805844262e-07 - art_sys_corr_65: 9.644133191276697e-08 - art_sys_corr_66: -8.577051973467369e-08 - art_sys_corr_67: -1.0132955114501918e-08 - art_sys_corr_68: -4.311530064678465e-08 - art_sys_corr_69: 4.089495986901712e-08 - art_sys_corr_70: -4.2215667860472594e-11 - art_sys_corr_71: -2.5331462364892958e-08 - art_sys_corr_72: -2.420847957913364e-08 - art_sys_corr_73: 9.889878764512162e-09 - art_sys_corr_74: 3.08646732891711e-10 - art_sys_corr_75: -6.680838653926329e-09 - art_sys_corr_76: 4.3923528322809795e-09 - art_sys_corr_77: 1.1777167419533203e-09 - art_sys_corr_78: -5.971802923123877e-10 - art_sys_corr_79: 4.841157395337833e-09 - art_sys_corr_80: 2.1630781992127947e-09 - art_sys_corr_81: 4.035873136548862e-09 - art_sys_corr_82: -2.1145184236657574e-09 - art_sys_corr_83: -1.2099251222332745e-09 - art_sys_corr_84: 5.646067974461455e-10 - art_sys_corr_85: 3.0647567523033695e-10 - art_sys_corr_86: 1.439553866424172e-10 - art_sys_corr_87: 8.056621201862639e-10 - art_sys_corr_88: -7.734127347114853e-10 - art_sys_corr_89: 2.3319169564380915e-10 - art_sys_corr_90: -7.007591006194883e-11 - art_sys_corr_91: -5.45179986910177e-11 - art_sys_corr_92: 3.994433564021967e-11 - art_sys_corr_93: -6.113025054524718e-12 - art_sys_corr_94: -7.265563237013508e-11 - art_sys_corr_95: 8.820748929248473e-11 - art_sys_corr_96: 8.444964715953551e-13 - art_sys_corr_97: -7.626191698509408e-11 - art_sys_corr_98: -2.078403761576511e-11 - art_sys_corr_99: -3.096101318627759e-11 - art_sys_corr_100: 2.4144509844054165e-11 - art_sys_corr_101: 1.4267776326964355e-12 - art_sys_corr_102: 3.849224015611895e-13 - art_sys_corr_103: -4.66236145004881e-12 - art_sys_corr_104: 4.130166753473241e-12 - art_sys_corr_105: 1.6090843026977976e-12 - art_sys_corr_106: 4.327614066172823e-12 - art_sys_corr_107: 1.484978471369818e-12 - art_sys_corr_108: -3.3345422999878243e-12 - art_sys_corr_109: 3.0256792914628e-12 - art_sys_corr_110: 2.619694374164164e-12 - art_sys_corr_111: -1.0124424055914084e-12 - art_sys_corr_112: 6.844429514570166e-13 - art_sys_corr_113: -9.402703741687487e-13 - art_sys_corr_114: -1.5147551351616288e-12 - art_sys_corr_115: 1.9739789447481728e-13 - art_sys_corr_116: 3.1954344910423533e-13 - art_sys_corr_117: 1.706555687226991e-14 - art_sys_corr_118: -1.2340314941726248e-13 - art_sys_corr_119: 8.624124941579229e-13 - art_sys_corr_120: 3.4291602490827933e-13 - art_sys_corr_121: -2.0710057354405883e-13 - art_sys_corr_122: 3.781550823285363e-13 - art_sys_corr_123: -1.5561149664147785e-13 - art_sys_corr_124: -3.140363065796671e-13 - art_sys_corr_125: 2.7251799988495384e-14 - art_sys_corr_126: 6.451389363049526e-14 - art_sys_corr_127: -1.5200594954643112e-14 - art_sys_corr_128: 7.354717921033867e-14 - art_sys_corr_129: -3.4839935865707007e-14 - art_sys_corr_130: -9.346534425792634e-14 - art_sys_corr_131: 9.041290206006931e-15 - art_sys_corr_132: -2.3344027324986165e-15 - art_sys_corr_133: 5.4259450882021196e-15 - art_sys_corr_134: -2.888378183242848e-15 - art_sys_corr_135: 9.361880431274616e-15 - art_sys_corr_136: 5.258944794853752e-15 - art_sys_corr_137: 1.3890342688801686e-15 - art_sys_corr_138: 2.575394217899027e-15 - art_sys_corr_139: -1.3134467834345423e-15 - art_sys_corr_140: 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-1.0418430265545958e-18 - art_sys_corr_164: 1.428105659368705e-18 - art_sys_corr_165: -1.6959311168705318e-19 - art_sys_corr_166: 2.0753146081582898e-19 - art_sys_corr_167: 6.619890389980216e-20 - art_sys_corr_168: -3.4641875527406973e-19 - art_sys_corr_169: 2.4644435602598977e-20 - art_sys_corr_170: -1.2092460997872847e-19 - art_sys_corr_171: -4.174488220028775e-20 +- art_sys_corr_1: -3394.463154397591 + art_sys_corr_2: -524.1214325604801 + art_sys_corr_3: -248.6932067563343 + art_sys_corr_4: 44.56891181040258 + art_sys_corr_5: 72.00574684789584 + art_sys_corr_6: 84.68290006218454 + art_sys_corr_7: 17.241680144912202 + art_sys_corr_8: 3.5697289464186848 + art_sys_corr_9: 1.4821470605791618 + art_sys_corr_10: -9.368019221171094 + art_sys_corr_11: 1.4707452350970849 + art_sys_corr_12: 2.0163452520308027 + art_sys_corr_13: -1.549052415166646 + art_sys_corr_14: 0.25483219845555255 + art_sys_corr_15: 0.6160035897427599 + art_sys_corr_16: -0.39516256575700454 + art_sys_corr_17: -0.06521864434811049 + art_sys_corr_18: -0.00040652436247185094 + art_sys_corr_19: 0.010223163246132273 + art_sys_corr_20: -0.12256151464941605 + art_sys_corr_21: 0.06434584459394865 + art_sys_corr_22: -0.009912731784030163 + art_sys_corr_23: 0.008430978050273754 + art_sys_corr_24: -0.004912469099801739 + art_sys_corr_25: 0.020013518409110035 + art_sys_corr_26: 0.005457641682514659 + art_sys_corr_27: -0.00492752005513784 + art_sys_corr_28: 0.001397342552870269 + art_sys_corr_29: -0.0016949439946140788 + art_sys_corr_30: 0.001958115824769473 + art_sys_corr_31: -0.002227598684267283 + art_sys_corr_32: -0.0005577400500703364 + art_sys_corr_33: -0.0006253521458929958 + art_sys_corr_34: -0.0001485449530032768 + art_sys_corr_35: 2.8322786925696065e-05 + art_sys_corr_36: -8.682246245437266e-05 + art_sys_corr_37: 6.604728854548384e-05 + art_sys_corr_38: -4.506361434860609e-05 + art_sys_corr_39: 0.00015953010696642564 + art_sys_corr_40: -5.4558151034667766e-05 + art_sys_corr_41: 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-2.187236407756901e-09 + art_sys_corr_145: -9.789272170516262e-09 + art_sys_corr_146: 1.7583211427094906e-09 + art_sys_corr_147: -2.91128944471519e-09 + art_sys_corr_148: 3.729838473873308e-08 + art_sys_corr_149: 1.0662338019624001e-07 + art_sys_corr_150: -1.110697519278174e-07 + art_sys_corr_151: -1.8261701103009006e-08 + art_sys_corr_152: 2.5451985864221218e-08 + art_sys_corr_153: 6.085457597525387e-09 + art_sys_corr_154: -3.1230311704008945e-09 + art_sys_corr_155: 8.157704050652116e-09 + art_sys_corr_156: 5.121153695024376e-09 + art_sys_corr_157: 7.383628387303904e-10 + art_sys_corr_158: -2.8882206811765033e-10 + art_sys_corr_159: 1.505217754043609e-09 + art_sys_corr_160: -3.143845069691899e-10 + art_sys_corr_161: -2.665651413221871e-10 + art_sys_corr_162: -1.994813570038401e-10 + art_sys_corr_163: 2.321000943335471e-11 + art_sys_corr_164: -2.035808593465567e-11 + art_sys_corr_165: 1.8791113803740156e-10 + art_sys_corr_166: 8.757994271354325e-11 + art_sys_corr_167: 8.946557608634465e-12 + art_sys_corr_168: -2.130979607637647e-11 + art_sys_corr_169: 1.9252372890658043e-11 + art_sys_corr_170: 2.5222563034466032e-11 + art_sys_corr_171: 5.439198044774753e-11 luminosity_uncertainty: 8.738e-07 statistical_uncertainty: 9.478e-06 From b0ce84288b1eaf225389a5e3bbf4015aabe8aa41 Mon Sep 17 00:00:00 2001 From: Mark Nestor Costantini Date: Mon, 31 Jul 2023 16:32:29 +0100 Subject: [PATCH 39/40] added dataset ATLAS_1JET_8TEV_R06_DEC --- buildmaster/ATLAS_1JET_8TEV_R06_DEC/data.yaml | 172 + buildmaster/ATLAS_1JET_8TEV_R06_DEC/filter.py | 167 + .../ATLAS_1JET_8TEV_R06_DEC/filter_utils.py | 227 + .../ATLAS_1JET_8TEV_R06_DEC/kinematics.yaml | 2053 ++ .../ATLAS_1JET_8TEV_R06_DEC/metadata.yaml | 66 + ...s_inclusive_jet2012_r06_altcorr1_eta1.yaml | 11569 ++++++ ...s_inclusive_jet2012_r06_altcorr1_eta2.yaml | 11229 ++++++ ...s_inclusive_jet2012_r06_altcorr1_eta3.yaml | 10889 ++++++ ...s_inclusive_jet2012_r06_altcorr1_eta4.yaml | 10209 ++++++ ...s_inclusive_jet2012_r06_altcorr1_eta5.yaml | 8169 +++++ ...s_inclusive_jet2012_r06_altcorr1_eta6.yaml | 6129 ++++ .../uncertainties.yaml | 30277 ++++++++++++++++ 12 files changed, 91156 insertions(+) create mode 100644 buildmaster/ATLAS_1JET_8TEV_R06_DEC/data.yaml create mode 100644 buildmaster/ATLAS_1JET_8TEV_R06_DEC/filter.py create mode 100644 buildmaster/ATLAS_1JET_8TEV_R06_DEC/filter_utils.py create mode 100644 buildmaster/ATLAS_1JET_8TEV_R06_DEC/kinematics.yaml create mode 100644 buildmaster/ATLAS_1JET_8TEV_R06_DEC/metadata.yaml create mode 100644 buildmaster/ATLAS_1JET_8TEV_R06_DEC/rawdata/atlas_inclusive_jet2012_r06_altcorr1_eta1.yaml create mode 100644 buildmaster/ATLAS_1JET_8TEV_R06_DEC/rawdata/atlas_inclusive_jet2012_r06_altcorr1_eta2.yaml create mode 100644 buildmaster/ATLAS_1JET_8TEV_R06_DEC/rawdata/atlas_inclusive_jet2012_r06_altcorr1_eta3.yaml create mode 100644 buildmaster/ATLAS_1JET_8TEV_R06_DEC/rawdata/atlas_inclusive_jet2012_r06_altcorr1_eta4.yaml create mode 100644 buildmaster/ATLAS_1JET_8TEV_R06_DEC/rawdata/atlas_inclusive_jet2012_r06_altcorr1_eta5.yaml create mode 100644 buildmaster/ATLAS_1JET_8TEV_R06_DEC/rawdata/atlas_inclusive_jet2012_r06_altcorr1_eta6.yaml create mode 100644 buildmaster/ATLAS_1JET_8TEV_R06_DEC/uncertainties.yaml diff --git a/buildmaster/ATLAS_1JET_8TEV_R06_DEC/data.yaml b/buildmaster/ATLAS_1JET_8TEV_R06_DEC/data.yaml new file mode 100644 index 0000000000..13a621e555 --- /dev/null +++ b/buildmaster/ATLAS_1JET_8TEV_R06_DEC/data.yaml @@ -0,0 +1,172 @@ +data_central: +- 36994.0 +- 15405.6 +- 7009.4 +- 3319.54 +- 1627.69 +- 822.52 +- 421.667 +- 223.264 +- 123.88 +- 69.53 +- 40.254 +- 23.062 +- 13.626 +- 8.337 +- 5.1569 +- 3.1134 +- 1.8922 +- 1.1635 +- 0.7111 +- 0.44279 +- 0.27428 +- 0.17043 +- 0.10614 +- 0.06661 +- 0.041322 +- 0.025443 +- 0.015691 +- 0.009639 +- 0.005995 +- 0.003448 +- 0.0014775 +- 0.0003872 +- 5.009e-05 +- 1.42e-06 +- 35232.5 +- 14221.5 +- 6519.5 +- 3066.07 +- 1499.1 +- 757.76 +- 392.639 +- 206.944 +- 114.55 +- 63.287 +- 36.287 +- 20.861 +- 12.404 +- 7.5669 +- 4.5112 +- 2.7158 +- 1.6382 +- 0.9953 +- 0.6045 +- 0.37186 +- 0.22762 +- 0.13906 +- 0.085314 +- 0.051916 +- 0.031895 +- 0.018985 +- 0.011346 +- 0.006725 +- 0.003879 +- 0.0020569 +- 0.0008497 +- 0.0001838 +- 6.58e-06 +- 30557.3 +- 12452.7 +- 5745.3 +- 2630.59 +- 1263.8 +- 638.88 +- 319.543 +- 165.698 +- 90.26 +- 49.844 +- 28.205 +- 15.919 +- 9.281 +- 5.5009 +- 3.2102 +- 1.8731 +- 1.1101 +- 0.6558 +- 0.38074 +- 0.22072 +- 0.12796 +- 0.07427 +- 0.042121 +- 0.023943 +- 0.013329 +- 0.007287 +- 0.003872 +- 0.0019997 +- 0.0010205 +- 0.0004429 +- 0.0001189 +- 5.37e-06 +- 24622.2 +- 9795.9 +- 4208.2 +- 1970.38 +- 949.4 +- 466.875 +- 229.994 +- 116.89 +- 62.17 +- 33.357 +- 18.199 +- 9.772 +- 5.426 +- 3.0905 +- 1.7167 +- 0.90963 +- 0.5003 +- 0.26684 +- 0.13761 +- 0.07125 +- 0.03547 +- 0.017315 +- 0.0082752 +- 0.003744 +- 0.0016581 +- 0.0006909 +- 0.0002583 +- 0.00011 +- 3.58e-05 +- 3.04e-06 +- 20104.9 +- 7668.9 +- 3167.6 +- 1414.54 +- 653.61 +- 311.066 +- 145.509 +- 69.5 +- 34.69 +- 16.754 +- 8.301 +- 4.009 +- 1.952 +- 0.9391 +- 0.4353 +- 0.1905 +- 0.08173 +- 0.032263 +- 0.012586 +- 0.004426 +- 0.001531 +- 0.0004622 +- 0.0001046 +- 1.348e-05 +- 13644.5 +- 5071.1 +- 2024.3 +- 824.82 +- 353.16 +- 143.567 +- 57.724 +- 22.944 +- 9.31 +- 3.705 +- 1.415 +- 0.5147 +- 0.1678 +- 0.04826 +- 0.01333 +- 0.002652 +- 0.000539 +- 4.6e-05 diff --git a/buildmaster/ATLAS_1JET_8TEV_R06_DEC/filter.py b/buildmaster/ATLAS_1JET_8TEV_R06_DEC/filter.py new file mode 100644 index 0000000000..06da9cb64d --- /dev/null +++ b/buildmaster/ATLAS_1JET_8TEV_R06_DEC/filter.py @@ -0,0 +1,167 @@ +import yaml +import numpy as np +import pandas as pd + +import sys + +sys.path.insert(0, ".") +from filter_utils import get_data_values, get_kinematics, fill_df, decompose_covmat + +# ignore pandas warning +import warnings + +warnings.filterwarnings("ignore") + + +def filter_ATLAS_1JET_8TEV_R06_DEC_data_kinetic(): + """ + write kinematics and central data values + in kinematics.yaml and data.yaml files + respectively. + """ + + with open("metadata.yaml", "r") as file: + metadata = yaml.safe_load(file) + + tables = metadata["hepdata"]["tables"] + + # get kinematics from hepdata tables + kin = get_kinematics(tables) + + # get central values from hepdata tables + data_central = get_data_values(tables) + + data_central_yaml = {"data_central": data_central} + kinematics_yaml = {"bins": kin} + + # write central values and kinematics to yaml file + 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) + + +def filter_ATLAS_1JET_8TEV_R06_DEC_uncertainties(): + """ + write uncertainties to uncertainties.yaml + file. + There are three types of uncertainties: + + 1. Statistical Uncertainties: CORR + -> correlated over the full dataset + + 2. Artificial Uncertainties: CORR, these + are obtained by following the steps: + + - Construct an Error matrix in which + each part of an asymmetric error is considered + as as separate error (hence dividing by sqrt(2)) + see also filter_utils/process_error and + filter_utils/HEP_table_to_df + + - Construct covariance matrix from the Error matrix + + - Decompose covariance matrix so as to get ndat art unc + + 3. Luminosity Uncertainty: ATLASLUMI12 + this uncertainty is correlated with all + the other ATLASLUMI12 datasets + """ + + with open("metadata.yaml", "r") as file: + metadata = yaml.safe_load(file) + + tables = metadata["hepdata"]["tables"] + + # get df of uncertainties + dfs = [] + for table in tables: + # uncertainties dataframe + df = fill_df(table) + dfs.append(df) + + df_unc = pd.concat([df for df in dfs], axis=0) + + # statistical errors fully uncorrelated + stat_errors = df_unc["stat"].to_numpy() + + # luminosity errors + lum_errors = df_unc["syst_lumi"].to_numpy() + + A_corr = df_unc.drop(["stat", "syst_lumi"], axis=1).to_numpy() / np.sqrt(2.0) + cov_corr = np.einsum("ij,kj->ik", A_corr, A_corr) + A_art_corr = decompose_covmat(covmat=cov_corr) + + # error definition + error_definition = { + f"art_sys_corr_{i}": { + "description": f"artificial systematic {i}", + "treatment": "ADD", + "type": "CORR", + } + for i in range(1, A_art_corr.shape[0] + 1) + } + + error_definition["luminosity_uncertainty"] = { + "description": "luminosity uncertainty", + "treatment": "ADD", + "type": "ATLASLUMI12", + } + + error_definition["statistical_uncertainty"] = { + "description": "statistical uncertainty", + "treatment": "ADD", + "type": "UNCORR", + } + + # store error in dict + error = [] + for n in range(A_art_corr.shape[0]): + error_value = {} + for m in range(A_art_corr.shape[1]): + error_value[f"art_sys_corr_{m+1}"] = float(A_art_corr[n, m]) + + error_value["luminosity_uncertainty"] = float(lum_errors[n]) + error_value["statistical_uncertainty"] = float(stat_errors[n]) + error.append(error_value) + + uncertainties_yaml = {"definition": error_definition, "bins": error} + + # write uncertainties to file + with open(f"uncertainties.yaml", "w") as file: + yaml.dump(uncertainties_yaml, file, sort_keys=False) + + # @@@@@@@@@@@@@@@ code below is only needed for testing and can be removed at some point @@@@@@@@@@@@ # + cov_lum = np.einsum("i,j->ij", lum_errors, lum_errors) + cov_stat = np.diag(stat_errors**2) + + covmat = cov_corr + cov_stat + cov_lum + # @@@@@@@@@@@@@@@ code above is only needed for testing and can be removed at some point @@@@@@@@@@@@ # + return np.real(covmat) + + +if __name__ == "__main__": + # write kinematics and central data values + # filter_ATLAS_1JET_8TEV_R06_DEC_data_kinetic() + + # # write uncertainties + # filter_ATLAS_1JET_8TEV_R06_DEC_uncertainties() + + # # @@@@@@@@@@@@@@@ CODE BELOW ONLY NEEDED TO TEST AND SHOULD BE REMOVED + covmat = filter_ATLAS_1JET_8TEV_R06_DEC_uncertainties() + + from validphys.api import API + + setname = "ATLAS_1JET_8TEV_R06_DEC" + dsinps = [ + {'dataset': setname}, + ] + inp = dict(dataset_inputs=dsinps, theoryid=200, use_cuts="internal") + cov = API.dataset_inputs_covmat_from_systematics(**inp) + + + ones = cov / covmat + print(ones) + print(np.max(ones), np.min(ones)) + print(np.allclose(ones, np.ones(cov.shape), rtol=1e-5)) diff --git a/buildmaster/ATLAS_1JET_8TEV_R06_DEC/filter_utils.py b/buildmaster/ATLAS_1JET_8TEV_R06_DEC/filter_utils.py new file mode 100644 index 0000000000..acac1259b7 --- /dev/null +++ b/buildmaster/ATLAS_1JET_8TEV_R06_DEC/filter_utils.py @@ -0,0 +1,227 @@ +import yaml +import numpy as np +import pandas as pd + +TABLE_TO_RAPIDITY = { + 1: [0.0, 0.5], + 2: [0.5, 1.0], + 3: [1.0, 1.5], + 4: [1.5, 2], + 5: [2.0, 2.5], + 6: [2.5, 3.0], +} + + +def get_data_values(tables): + """ + returns the central data + + Parameters + ---------- + tables : list + list that enumerates the table number + + Returns + ------- + list + list containing the central values for all + hepdata tables + + """ + + data_central = [] + for table in tables: + hepdata_table = f"rawdata/atlas_inclusive_jet2012_r06_altcorr1_eta{table}.yaml" + + with open(hepdata_table, "r") as file: + input = yaml.safe_load(file) + + values = input["dependent_variables"][0]["values"] + + for value in values: + data_central.append(value["value"]) + + return data_central + + +def get_kinematics(tables): + """ + returns the relevant kinematics values + + Parameters + ---------- + tables : list + list that enumerates the table number + + Returns + ------- + list + list containing the kinematic values for all + hepdata tables + """ + kin = [] + + for table in tables: + hepdata_table = f"rawdata/atlas_inclusive_jet2012_r06_altcorr1_eta{table}.yaml" + + with open(hepdata_table, "r") as file: + input = yaml.safe_load(file) + + # rapidity + rapidity_interval = TABLE_TO_RAPIDITY[table] + rap = {} + rap["min"], rap["max"] = rapidity_interval[0], rapidity_interval[1] + rap["mid"] = 0.5 * (rap["min"] + rap["max"]) + + # center of mass energy + sqrts = float(input["dependent_variables"][0]["qualifiers"][1]["value"]) + + # transverse momentum + jet_kt_bins = input["independent_variables"][0]["values"] + KT = {} + for kt in jet_kt_bins: + KT["min"], KT["max"] = kt["low"], kt["high"] + KT["mid"] = float(f"{0.5 * (kt['low'] + kt['high']):.3f}") + + kin_value = { + "y": {"min": rap["min"], "mid": rap["mid"], "max": rap["max"]}, + "kt": {"min": KT["min"], "mid": KT["mid"], "max": KT["max"]}, + "sqrt_s": {"min": None, "mid": sqrts, "max": None}, + } + + kin.append(kin_value) + + return kin + + + +def decompose_covmat(covmat): + """Given a covmat it return an array sys with shape (ndat,ndat) + giving ndat correlated systematics for each of the ndat point. + The original covmat is obtained by doing sys@sys.T""" + + lamb, mat = np.linalg.eig(covmat) + sys = np.multiply(np.sqrt(lamb), mat) + return sys + + +def HEP_table_to_df(table): + """ + Given hep data table return a pandas + DataFrame with index given by Ndata, + columns by the uncertainties and + np.nan entries + + Parameters + ---------- + table : int + number of table + + """ + hepdata_table = f"rawdata/atlas_inclusive_jet2012_r06_altcorr1_eta{table}.yaml" + with open(hepdata_table, "r") as file: + card = yaml.safe_load(file) + + # list of len ndata. Each entry is dict with + # keys errors and value + card = card["dependent_variables"][0]["values"] + df_nan = pd.DataFrame(index=range(1, len(card) + 1)) + + errors = card[0]["errors"] + for err in errors: + # luminosity and stat uncertainty, always symmetric + if err["label"] == "syst_lumi": + df_nan[err["label"]] = np.nan + elif err["label"] == "stat": + df_nan[err["label"]] = np.nan + else: + df_nan[f"{err['label']}_plus"] = np.nan + df_nan[f"{err['label']}_minus"] = np.nan + + return df_nan + + +def fill_df(table): + """ + Fill a data frame with index + corresponding to measured datapoints + and columns to different uncertainties + Each df is for a fixed rapidity bin. + + Parameters + ---------- + table : int + number of table + + """ + hepdata_table = f"rawdata/atlas_inclusive_jet2012_r06_altcorr1_eta{table}.yaml" + with open(hepdata_table, "r") as file: + card = yaml.safe_load(file) + + # list of len ndata. Each entry is dict with + # keys errors and value + card = card["dependent_variables"][0]["values"] + df = HEP_table_to_df(table) + + for i, dat in enumerate(card): + # cv = dat['value'] + + for j, err in enumerate(dat["errors"]): + # lum and stat uncertainties are always symmetric + if err["label"] == "stat": + df.loc[df.index == i + 1, err["label"]] = err["asymerror"]["plus"] + elif err["label"] == "syst_lumi": + df.loc[df.index == i + 1, err["label"]] = err["asymerror"]["plus"] + else: + dp, dm = process_err(err) + df.loc[ + df.index == i + 1, f"{err['label']}_plus" + ] = dp # err['asymerror']['plus'] + df.loc[ + df.index == i + 1, f"{err['label']}_minus" + ] = dm # err['asymerror']['minus'] + + return df + + +def process_err(error): + """ + Note: the d'Agostini prescription for the + symmetrization of the error does not hold here. + We follow here the experimental prescription + + Parameters + ---------- + + error : dictionary + e.g. {'label': 'sys', 'symerror': 0.1%} + + Returns + ------- + tuple + tuple containing two floats + + """ + d_p = float(error["asymerror"]["plus"]) + d_m = float(error["asymerror"]["minus"]) + + tmp1 = d_p + tmp2 = d_m + # case 1: d_p and d_m are both negative + if tmp1 < 0.0 and tmp2 < 0.0: + if tmp2 < tmp1: + d_p = 0.0 + d_m = tmp2 + else: + d_p = 0.0 + d_m = tmp1 + + # case 2: d_p and d_m are both positive + if tmp1 > 0.0 and tmp2 > 0.0: + if tmp1 > tmp2: + d_p = tmp1 + d_m = 0.0 + else: + d_p = tmp2 + d_m = 0.0 + return d_p, d_m \ No newline at end of file diff --git a/buildmaster/ATLAS_1JET_8TEV_R06_DEC/kinematics.yaml b/buildmaster/ATLAS_1JET_8TEV_R06_DEC/kinematics.yaml new file mode 100644 index 0000000000..cc65031689 --- /dev/null +++ b/buildmaster/ATLAS_1JET_8TEV_R06_DEC/kinematics.yaml @@ -0,0 +1,2053 @@ +bins: +- y: + min: 0.0 + mid: 0.25 + max: 0.5 + kt: + min: 70 + mid: 77.5 + max: 85 + sqrt_s: + min: null + mid: 8000.0 + max: null +- y: + min: 0.0 + mid: 0.25 + max: 0.5 + kt: + min: 85 + mid: 92.5 + max: 100 + sqrt_s: + min: null + mid: 8000.0 + max: null +- y: + min: 0.0 + mid: 0.25 + max: 0.5 + kt: + min: 100 + mid: 108.0 + max: 116 + sqrt_s: + min: null + mid: 8000.0 + max: null +- y: + min: 0.0 + mid: 0.25 + max: 0.5 + kt: + min: 116 + mid: 125.0 + max: 134 + sqrt_s: + min: null + mid: 8000.0 + max: null +- y: + min: 0.0 + mid: 0.25 + max: 0.5 + kt: + min: 134 + mid: 143.0 + max: 152 + sqrt_s: + min: null + mid: 8000.0 + max: null +- y: + min: 0.0 + mid: 0.25 + max: 0.5 + kt: + min: 152 + mid: 162.0 + max: 172 + sqrt_s: + min: null + mid: 8000.0 + max: null +- y: + min: 0.0 + mid: 0.25 + max: 0.5 + kt: + min: 172 + mid: 183.0 + max: 194 + sqrt_s: + min: null + mid: 8000.0 + max: null +- y: + min: 0.0 + mid: 0.25 + max: 0.5 + kt: + min: 194 + mid: 205.0 + max: 216 + sqrt_s: + min: null + mid: 8000.0 + max: null +- y: + min: 0.0 + mid: 0.25 + max: 0.5 + kt: + min: 216 + mid: 228.0 + max: 240 + sqrt_s: + min: null + mid: 8000.0 + max: null +- y: + min: 0.0 + mid: 0.25 + max: 0.5 + kt: + min: 240 + mid: 252.0 + max: 264 + sqrt_s: + min: null + mid: 8000.0 + max: null +- y: + min: 0.0 + mid: 0.25 + max: 0.5 + kt: + min: 264 + mid: 277.0 + max: 290 + sqrt_s: + min: null + mid: 8000.0 + max: null +- y: + min: 0.0 + mid: 0.25 + max: 0.5 + kt: + min: 290 + mid: 304.0 + max: 318 + sqrt_s: + min: null + mid: 8000.0 + max: null +- y: + min: 0.0 + mid: 0.25 + max: 0.5 + kt: + min: 318 + mid: 332.0 + max: 346 + sqrt_s: + min: null + mid: 8000.0 + max: null +- y: + min: 0.0 + mid: 0.25 + max: 0.5 + kt: + min: 346 + mid: 361.0 + max: 376 + sqrt_s: + min: null + mid: 8000.0 + max: null +- y: + min: 0.0 + mid: 0.25 + max: 0.5 + kt: + min: 376 + mid: 392.0 + max: 408 + sqrt_s: + min: null + mid: 8000.0 + max: null +- y: + min: 0.0 + mid: 0.25 + max: 0.5 + kt: + min: 408 + mid: 425.0 + max: 442 + sqrt_s: + min: null + mid: 8000.0 + max: null +- y: + min: 0.0 + mid: 0.25 + max: 0.5 + kt: + min: 442 + mid: 460.0 + max: 478 + sqrt_s: + min: null + mid: 8000.0 + max: null +- y: + min: 0.0 + mid: 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mid: 304.0 + max: 318 + sqrt_s: + min: null + mid: 8000.0 + max: null +- y: + min: 2.5 + mid: 2.75 + max: 3.0 + kt: + min: 318 + mid: 332.0 + max: 346 + sqrt_s: + min: null + mid: 8000.0 + max: null +- y: + min: 2.5 + mid: 2.75 + max: 3.0 + kt: + min: 346 + mid: 361.0 + max: 376 + sqrt_s: + min: null + mid: 8000.0 + max: null +- y: + min: 2.5 + mid: 2.75 + max: 3.0 + kt: + min: 376 + mid: 392.0 + max: 408 + sqrt_s: + min: null + mid: 8000.0 + max: null +- y: + min: 2.5 + mid: 2.75 + max: 3.0 + kt: + min: 408 + mid: 425.0 + max: 442 + sqrt_s: + min: null + mid: 8000.0 + max: null +- y: + min: 2.5 + mid: 2.75 + max: 3.0 + kt: + min: 442 + mid: 460.0 + max: 478 + sqrt_s: + min: null + mid: 8000.0 + max: null +- y: + min: 2.5 + mid: 2.75 + max: 3.0 + kt: + min: 478 + mid: 517.0 + max: 556 + sqrt_s: + min: null + mid: 8000.0 + max: null diff --git a/buildmaster/ATLAS_1JET_8TEV_R06_DEC/metadata.yaml b/buildmaster/ATLAS_1JET_8TEV_R06_DEC/metadata.yaml new file mode 100644 index 0000000000..91922c9429 --- /dev/null +++ b/buildmaster/ATLAS_1JET_8TEV_R06_DEC/metadata.yaml @@ -0,0 +1,66 @@ +# Created on July 2023, author: Mark N. Costantini + +# Generalia +setname: "ATLAS_1JET_8TEV_R06_DEC" +ndata: 171 +observable: + description: "Double-differential inclusive jet cross-section as functions of jet transverse momentum and the absolute jet rapidity." + label: r"$10^{3*qbin} d^2\sigma/dp_Td|y|$" + units: "[pb/GeV]" + +kinematics: + variables: + y: {description: "jet rapidity", label: "$|y|$", units: ""} + kt: {description: "jet transverse momentum", label: "$k_{T}$", units: ""} + sqrt_s: {description: "center of mass energy", label: r"$\sqrt(s)$", units: "GeV"} + file: kinematics.yaml + +version: 0 +version_comment: "Initial implementation" + +# References +arXiv: + url: "https://arxiv.org/abs/1706.03192" +iNSPIRE: + url: "https://inspirehep.net/literature/1604271" +hepdata: + url: "https://www.hepdata.net/record/ins1604271" + version: 1 + tables: [1,2,3,4,5,6] + + +# Data +data_central: data.yaml +data_uncertainties: + nominal: + - uncertainties.yaml + +# Data (variants) +# variants: +# stronger: +# data_uncertainties: +# - uncertainties.yaml +# - uncertainties_stronger.yaml +# weaker: +# data_uncertainties: +# - uncertainties.yaml +# - uncertainties_weaker.yaml + +# Plotting +kinematic_coverage: + ystar: y + m12: kt +dataset_label: "ATLAS jets 8 TeV, R=0.6" +plot_x: kt +figure_by: + - y + +# Theory +theory: + FK_tables: + - ATLAS_1JET_8TEV_R06 + + +nnpdf_metadata: + nnpdf31_process: "JETS" + experiment: "ATLAS" \ No newline at end of file diff --git a/buildmaster/ATLAS_1JET_8TEV_R06_DEC/rawdata/atlas_inclusive_jet2012_r06_altcorr1_eta1.yaml b/buildmaster/ATLAS_1JET_8TEV_R06_DEC/rawdata/atlas_inclusive_jet2012_r06_altcorr1_eta1.yaml new file mode 100644 index 0000000000..eb1bd22f02 --- /dev/null +++ b/buildmaster/ATLAS_1JET_8TEV_R06_DEC/rawdata/atlas_inclusive_jet2012_r06_altcorr1_eta1.yaml @@ -0,0 +1,11569 @@ +independent_variables: +- header: {name: '$p_{Tjet} $', units: GeV} + values: + - {low: 70, high: 85} + - {low: 85, high: 100} + - {low: 100, high: 116} + - {low: 116, high: 134} + - {low: 134, high: 152} + - {low: 152, high: 172} + - {low: 172, high: 194} + - {low: 194, high: 216} + - {low: 216, high: 240} + - {low: 240, high: 264} + - {low: 264, high: 290} + - {low: 290, high: 318} + - {low: 318, high: 346} + - {low: 346, high: 376} + - {low: 376, high: 408} + - {low: 408, high: 442} + - {low: 442, high: 478} + - {low: 478, high: 516} + - {low: 516, high: 556} + - {low: 556, high: 598} + - {low: 598, high: 642} + - {low: 642, high: 688} + - {low: 688, high: 736} + - {low: 736, high: 786} + - {low: 786, high: 838} + - {low: 838, high: 894} + - {low: 894, high: 952} + - {low: 952, high: 1012} + - {low: 1012, high: 1076} + - {low: 1076, high: 1162} + - {low: 1162, high: 1310} + - {low: 1310, high: 1530} + - {low: 1530, high: 1992} + - {low: 1992, high: 2500} +dependent_variables: +- header: {name: '$d#sigma/dp_{Tjet} d|Y|$ $'} + qualifiers: + - {name: RE, value: p p -> jet jet} + - {name: SQRTS(S), units: GeV, value: 8000} + values: + - value: 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b/buildmaster/ATLAS_1JET_8TEV_R06_DEC/rawdata/atlas_inclusive_jet2012_r06_altcorr1_eta2.yaml new file mode 100644 index 0000000000..66f1d3ca86 --- /dev/null +++ b/buildmaster/ATLAS_1JET_8TEV_R06_DEC/rawdata/atlas_inclusive_jet2012_r06_altcorr1_eta2.yaml @@ -0,0 +1,11229 @@ +independent_variables: +- header: {name: '$p_{Tjet} $', units: GeV} + values: + - {low: 70, high: 85} + - {low: 85, high: 100} + - {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} 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7.78638845980671e-09 + art_sys_corr_153: 4.40312986582275e-09 + art_sys_corr_154: -5.806848569097517e-10 + art_sys_corr_155: 4.139633744667297e-09 + art_sys_corr_156: -1.4089807441241832e-09 + art_sys_corr_157: -1.1784140709929271e-10 + art_sys_corr_158: 6.879042647577286e-10 + art_sys_corr_159: -1.3715147481687862e-10 + art_sys_corr_160: 4.5909249003109697e-10 + art_sys_corr_161: -8.29536695368467e-11 + art_sys_corr_162: 1.7297921343378195e-10 + art_sys_corr_163: 2.6024071790578706e-11 + art_sys_corr_164: -1.8163858997004068e-11 + art_sys_corr_165: -3.0850047202222476e-11 + art_sys_corr_166: -2.0069128319754404e-12 + art_sys_corr_167: 3.816058025492699e-12 + art_sys_corr_168: -8.118325886200403e-12 + art_sys_corr_169: -2.1147961720433647e-13 + art_sys_corr_170: 4.3438469637696635e-12 + art_sys_corr_171: 1.4802450017848308e-12 + luminosity_uncertainty: 8.738e-07 + statistical_uncertainty: 9.478e-06 From acd64a949704fef696d369cbaadefe5a7be6eb6a Mon Sep 17 00:00:00 2001 From: Mark Nestor Costantini Date: Mon, 31 Jul 2023 17:17:50 +0100 Subject: [PATCH 40/40] black on filter --- buildmaster/CMS_1JET_8TEV/filter.py | 52 ++++---- buildmaster/CMS_1JET_8TEV/filter_utils.py | 143 ++++++++++++---------- 2 files changed, 100 insertions(+), 95 deletions(-) diff --git a/buildmaster/CMS_1JET_8TEV/filter.py b/buildmaster/CMS_1JET_8TEV/filter.py index ec3b189873..f5ec9ba14a 100644 --- a/buildmaster/CMS_1JET_8TEV/filter.py +++ b/buildmaster/CMS_1JET_8TEV/filter.py @@ -8,10 +8,13 @@ import yaml from filter_utils import ( - get_data_values, get_kinematics, - get_stat_uncertainties, block_diagonal_corr, - correlation_to_covariance, uncertainties_df - ) + get_data_values, + get_kinematics, + get_stat_uncertainties, + block_diagonal_corr, + correlation_to_covariance, + uncertainties_df, +) def filter_CMS_1JET_8TEV_data_kinetic(): @@ -25,16 +28,16 @@ def filter_CMS_1JET_8TEV_data_kinetic(): metadata = yaml.safe_load(file) version = metadata['hepdata']['version'] - tables = metadata['hepdata']['tables'] + tables = metadata['hepdata']['tables'] # get kinematics from hepdata tables - kin = get_kinematics(tables,version) + kin = get_kinematics(tables, version) # get central values from hepdata tables - data_central = get_data_values(tables,version) - - data_central_yaml = { 'data_central' : data_central } - kinematics_yaml = { 'bins' : kin } + data_central = get_data_values(tables, version) + + data_central_yaml = {'data_central': data_central} + kinematics_yaml = {'bins': kin} # write central values and kinematics to yaml file with open('data.yaml', 'w') as file: @@ -45,34 +48,30 @@ def filter_CMS_1JET_8TEV_data_kinetic(): def filter_CMS_1JET_8TEV_uncertainties(): - """ - - """ + """ """ with open('metadata.yaml', 'r') as file: metadata = yaml.safe_load(file) version = metadata['hepdata']['version'] - tables = metadata['hepdata']['tables'] + tables = metadata['hepdata']['tables'] # get dataframe of uncertainties df_unc = uncertainties_df(tables) # construct block diagonal statistical covariance matrix bd_stat_cov = correlation_to_covariance(block_diagonal_corr(tables), get_stat_uncertainties()) - + # luminosity lum_unc = df_unc['Luminosity'] print(lum_unc) - covmat = bd_stat_cov return covmat if __name__ == "__main__": - # write data central values and kinematics to file # filter_CMS_1JET_8TEV_data_kinetic() covmat = filter_CMS_1JET_8TEV_uncertainties() @@ -81,32 +80,31 @@ def filter_CMS_1JET_8TEV_uncertainties(): from validphys.commondataparser import parse_commondata from validphys.loader import Loader from validphys.covmats import dataset_inputs_covmat_from_systematics - + l = Loader() - dat_file = "/Users/markcostantini/codes/nnpdfgit/nnpdf/nnpdfcpp/data/commondata/DATA_CMS_1JET_8TEV.dat" + dat_file = ( + "/Users/markcostantini/codes/nnpdfgit/nnpdf/nnpdfcpp/data/commondata/DATA_CMS_1JET_8TEV.dat" + ) systype_file = "/Users/markcostantini/codes/nnpdfgit/nnpdf/nnpdfcpp/data/commondata/systypes/SYSTYPE_CMS_1JET_8TEV_DEFAULT.dat" setname = "CMS_1JET_8TEV" - - cd = parse_commondata(dat_file,systype_file,setname) - dataset_input = l.check_dataset(setname,theoryid=200) + + cd = parse_commondata(dat_file, systype_file, setname) + dataset_input = l.check_dataset(setname, theoryid=200) cmat = dataset_inputs_covmat_from_systematics( dataset_inputs_loaded_cd_with_cuts=[cd], - data_input = [dataset_input], + data_input=[dataset_input], use_weights_in_covmat=False, norm_threshold=None, _list_of_central_values=None, _only_additive=False, - ) + ) print(covmat / cmat) - # why does the API give a 185 x 185 shaped covmat # i.e. why is it ignoring the low pt stuff # inps = [{'dataset': "CMS_1JET_8TEV"}] # inp = dict(dataset_inputs=inps, theoryid=200, use_cuts="internal") # cmat = API.dataset_inputs_covmat_from_systematics(**inp) - - \ No newline at end of file diff --git a/buildmaster/CMS_1JET_8TEV/filter_utils.py b/buildmaster/CMS_1JET_8TEV/filter_utils.py index b7e5c9b7c4..0cab3461ba 100644 --- a/buildmaster/CMS_1JET_8TEV/filter_utils.py +++ b/buildmaster/CMS_1JET_8TEV/filter_utils.py @@ -11,17 +11,25 @@ log = logging.getLogger(__name__) -table_to_rapidity = {1: [0.,0.5], 2: [0.5,1.], 3:[1.,1.5], 4:[1.5,2], 5:[2.,2.5], 6:[2.5,3.0]} +TABLE_TO_RAPIDITY = { + 1: [0.0, 0.5], + 2: [0.5, 1.0], + 3: [1.0, 1.5], + 4: [1.5, 2], + 5: [2.0, 2.5], + 6: [2.5, 3.0], +} -def get_data_values(tables,version): + +def get_data_values(tables, version): """ - returns the central data - + returns the central data + Parameters ---------- tables : list list that enumerates the table number - + version : int integer read from metadata.yaml that indicated the version of the hepdata @@ -32,16 +40,16 @@ def get_data_values(tables,version): list list containing the central values for all hepdata tables - + """ - + data_central = [] for table in tables: hepdata_table = f"rawdata/HEPData-ins1487277-v{version}-Table_{table}.yaml" - + with open(hepdata_table, 'r') as file: input = yaml.safe_load(file) - + values = input['dependent_variables'][0]['values'] for value in values: @@ -50,15 +58,15 @@ def get_data_values(tables,version): return data_central -def get_kinematics(tables,version): +def get_kinematics(tables, version): """ - returns the relevant kinematics values - + returns the relevant kinematics values + Parameters ---------- tables : list list that enumerates the table number - + version : int integer read from metadata.yaml that indicated the version of the hepdata @@ -73,18 +81,17 @@ def get_kinematics(tables,version): kin = [] for table in tables: - hepdata_table = f"rawdata/HEPData-ins1487277-v{version}-Table_{table}.yaml" - + with open(hepdata_table, 'r') as file: input = yaml.safe_load(file) - + # rapidity - rapidity_interval = table_to_rapidity[table] + rapidity_interval = TABLE_TO_RAPIDITY[table] rap = {} rap['min'], rap['max'] = rapidity_interval[0], rapidity_interval[1] rap['mid'] = 0.5 * (rap['min'] + rap['max']) - + # center of mass energy sqrts = float(input['dependent_variables'][0]['qualifiers'][2]['value']) @@ -92,19 +99,20 @@ def get_kinematics(tables,version): jet_kt_bins = input['independent_variables'][0]['values'] KT = {} for kt in jet_kt_bins: - KT['min'], KT['max'] = kt['low'], kt['high'] KT['mid'] = float(f"{0.5 * (kt['low'] + kt['high']):.3f}") - - kin_value = {'y' : {'min': rap['min'], 'mid': rap['mid'] , 'max': rap['max']}, - 'kt' : {'min': KT['min'], 'mid': KT['mid'] , 'max': KT['max']} , - 'sqrt_s' : {'min': None, 'mid': sqrts , 'max': None}} + kin_value = { + 'y': {'min': rap['min'], 'mid': rap['mid'], 'max': rap['max']}, + 'kt': {'min': KT['min'], 'mid': KT['mid'], 'max': KT['max']}, + 'sqrt_s': {'min': None, 'mid': sqrts, 'max': None}, + } kin.append(kin_value) - + return kin + def get_shape(correlation_file): """ returns the shape of the statistical correlation @@ -115,12 +123,12 @@ def get_shape(correlation_file): correlation_file : list list whose entries are the rows of the correlation file - + Returns ------- int integer giving the shape of the corr matrix - + """ shape_list = [] for i, line in enumerate(correlation_file): @@ -128,8 +136,8 @@ def get_shape(correlation_file): if len(line.split()) >= 5 and line.split()[-2] == '74': shape_list.append(i) if len(shape_list) == 2: - return shape_list[1]-shape_list[0] - + return shape_list[1] - shape_list[0] + def get_stat_correlations(table): """ @@ -148,64 +156,68 @@ def get_stat_correlations(table): 2-D array """ - with open(f'rawdata/CMS_8TeV_jets_Ybin{table}___CMS_8TeV_jets_Ybin{table}.dat','r') as file: + with open(f'rawdata/CMS_8TeV_jets_Ybin{table}___CMS_8TeV_jets_Ybin{table}.dat', 'r') as file: card = file.readlines() - - # get shape of matrix + + # get shape of matrix shape_mat = get_shape(card) - stat_corr = np.zeros((shape_mat,shape_mat)) + stat_corr = np.zeros((shape_mat, shape_mat)) # correlation rows always start at row 18 for j in range(shape_mat): # fill rows of correlation matrix - stat_corr[j,:] = np.array([card[(17 + shape_mat * j)+ k].split()[-1] for k in range(shape_mat)]) + stat_corr[j, :] = np.array( + [card[(17 + shape_mat * j) + k].split()[-1] for k in range(shape_mat)] + ) return stat_corr + def block_diagonal_corr(tables): """ forms block diagonal correlation matrix for stat uncertainties. Each block corresponds to a rapidity bin. - Null correlations are associated to the points + Null correlations are associated to the points below the nominal pT cut (pT<74 GeV) for which the information on correlations is not available. - + Parameters ---------- tables : list list of integers numbering the tables - + Returns ------- np.array block diagonal matrix of dim ndata x ndata """ - # null correlations for points below nominal pT cut - null_correlations = np.zeros((9,9)) + # null correlations for points below nominal pT cut + null_correlations = np.zeros((9, 9)) + + bd_corr = block_diag(null_correlations, get_stat_correlations(tables[0])) - bd_corr = block_diag(null_correlations,get_stat_correlations(tables[0])) - for table in tables[1:]: - tmp_corr = block_diag(null_correlations,get_stat_correlations(table)) - bd_corr = block_diag(bd_corr,tmp_corr) + tmp_corr = block_diag(null_correlations, get_stat_correlations(table)) + bd_corr = block_diag(bd_corr, tmp_corr) return bd_corr + def correlation_to_covariance(correlation, uncertainties): """ Converts a correlation matrix into a covariance matrix using a list of uncertainties. - + Parameters: ----------- correlation : np.ndarray A square matrix of correlations. uncertainties : np.ndarray A 1D array of uncertainties. - + Returns: -------- np.ndarray @@ -214,6 +226,7 @@ def correlation_to_covariance(correlation, uncertainties): covariance = np.outer(uncertainties, uncertainties) * correlation return covariance + def get_stat_uncertainties(): """ function used to get the statistical @@ -223,66 +236,61 @@ def get_stat_uncertainties(): ------- np.array array with ordered stat errors for all tables - + """ - + with open('metadata.yaml', 'r') as file: metadata = yaml.safe_load(file) version = metadata['hepdata']['version'] - tables = metadata['hepdata']['tables'] - + tables = metadata['hepdata']['tables'] + stat_err = [] for table in tables: - hepdata_tables = f"rawdata/HEPData-ins1487277-v{version}-Table_{table}.yaml" with open(hepdata_tables, 'r') as file: input = yaml.safe_load(file) for err in input['dependent_variables'][0]['values']: stat_err.append(err['errors'][0]['symerror']) - + return np.array(stat_err) + def get_uncertainties_df(table): - """ - - """ + """ """ - with open(f"rawdata/CMS_8TeV_jets_Ybin{table}.dat",'r') as file: + with open(f"rawdata/CMS_8TeV_jets_Ybin{table}.dat", 'r') as file: card = file.readlines() for line in card: if "ColumnName" in line: columns = line.split() columns = [col.strip(", '") for col in columns[2:]] - - - - - # ignore ColumnName, =, and binFlag - + # columns = columns[3:] - + # read dat file into dataframe by skipping the first 41 metadata rows - df = pd.read_csv(f"rawdata/CMS_8TeV_jets_Ybin{table}.dat", sep="\s+", skiprows = 41, names = columns) + df = pd.read_csv( + f"rawdata/CMS_8TeV_jets_Ybin{table}.dat", sep="\s+", skiprows=41, names=columns + ) # reindex df = df.reset_index(drop=True) return df + def uncertainties_df(tables): - """ - """ + """ """ dfs = [] - + for table in tables: dfs.append(get_uncertainties_df(table)) - df = pd.concat(dfs,axis = 0) + df = pd.concat(dfs, axis=0) return df @@ -293,8 +301,7 @@ def uncertainties_df(tables): # bd = block_diagonal_corr(tables=[1,2,3,4,5,6]) # stat = get_stat_uncertainties() # print(stat) - df = uncertainties_df([1,2,3,4,5,6]) + df = uncertainties_df([1, 2, 3, 4, 5, 6]) print(df) print(df.columns) print(df.Sigma) -