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added data and kinematics and code to generate it
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data_central: | ||
- 3.50000000e+06 | ||
- 4.53000000e+06 |
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nnpdf_data/nnpdf_data/commondata/ATLAS_WPWM_13TEV/filter.py
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""" | ||
filter.py module for ATLAS_WPWM_13TEV dataset | ||
When running `python filter.py` the relevant uncertainties , data and kinematics yaml | ||
file will be created in the `nnpdf_data/commondata/ATLAS_WPWM_13TEV` directory. | ||
""" | ||
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import yaml | ||
from filter_utils import get_kinematics, get_data_values, get_systematics | ||
from nnpdf_data.filter_utils.utils import prettify_float | ||
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yaml.add_representer(float, prettify_float) | ||
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def filter_ATLAS_WPWM_13TEV_TOT_data_kinetic(): | ||
""" | ||
This function writes the central values and kinematics to yaml files. | ||
""" | ||
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kin = get_kinematics() | ||
central_values = list(get_data_values()) | ||
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data_central_yaml = {"data_central": central_values} | ||
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kinematics_yaml = {"bins": kin} | ||
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# write central values and kinematics to yaml file | ||
with open("data.yaml", "w") as file: | ||
yaml.dump(data_central_yaml, file, sort_keys=False) | ||
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with open("kinematics.yaml", "w") as file: | ||
yaml.dump(kinematics_yaml, file, sort_keys=False) | ||
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def filter_ATLAS_Z0_8TEV_LOWMASS_systematics(version=3): | ||
""" | ||
This function writes the systematics to a yaml file. | ||
""" | ||
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with open("metadata.yaml", "r") as file: | ||
metadata = yaml.safe_load(file) | ||
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systematics = get_systematics(version=version) | ||
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# error definition | ||
error_definitions = {} | ||
errors = [] | ||
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for sys in systematics: | ||
if (sys[0]['name'] == 'stat') or (sys[0]['name'] == 'sys,uncor'): | ||
error_definitions[sys[0]['name']] = { | ||
"description": f"{sys[0]['name']}", | ||
"treatment": "ADD", | ||
"type": "UNCORR", | ||
} | ||
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elif (sys[0]['name'] == 'ATLAS_LUMI') or (sys[0]['name'] == 'Lumi:M'): | ||
error_definitions[sys[0]['name']] = { | ||
"description": f"{sys[0]['name']}", | ||
"treatment": "MULT", | ||
"type": "CORR", | ||
} | ||
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else: | ||
error_definitions[sys[0]['name']] = { | ||
"description": f"{sys[0]['name']}", | ||
"treatment": "ADD", | ||
"type": "CORR", | ||
} | ||
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# | ||
for i in range(metadata['implemented_observables'][0]['ndata']): | ||
error_value = {} | ||
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for sys in systematics: | ||
error_value[sys[0]['name']] = float(sys[0]['values'][i]) | ||
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errors.append(error_value) | ||
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uncertainties_yaml = {"definitions": error_definitions, "bins": errors} | ||
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# write uncertainties | ||
if version == 1: | ||
with open(f"uncertainties_v1.yaml", 'w') as file: | ||
yaml.dump(uncertainties_yaml, file, sort_keys=False) | ||
else: | ||
with open(f"uncertainties.yaml", 'w') as file: | ||
yaml.dump(uncertainties_yaml, file, sort_keys=False) | ||
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if __name__ == "__main__": | ||
filter_ATLAS_WPWM_13TEV_TOT_data_kinetic() | ||
# filter_ATLAS_Z0_8TEV_LOWMASS_systematics() |
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87
nnpdf_data/nnpdf_data/commondata/ATLAS_WPWM_13TEV/filter_utils.py
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""" | ||
This module contains helper functions that are used to extract the uncertainties, kinematics and data values | ||
from the rawdata files. | ||
""" | ||
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import yaml | ||
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def get_kinematics(): | ||
""" | ||
returns the kinematics in the form of a list of dictionaries. | ||
""" | ||
kin = [] | ||
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mw2 = 80.385**2 | ||
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for i in range(2): | ||
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kin_value = { | ||
'k1': {'min': None, 'mid': 0.0, 'max': None}, | ||
'M2': {'min': None, 'mid': mw2, 'max': None}, | ||
'sqrts': {'min': None, 'mid': 13000.0, 'max': None}, | ||
} | ||
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kin.append(kin_value) | ||
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return kin | ||
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def get_data_values(): | ||
""" | ||
returns the central data values in the form of a list. | ||
""" | ||
hepdata_table_wp, hepdata_table_wm = ( | ||
"rawdata/HEPData-ins1436497-v1-Table_8.yaml", | ||
"rawdata/HEPData-ins1436497-v1-Table_9.yaml", | ||
) | ||
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with open(hepdata_table_wp, 'r') as file: | ||
input_wp = yaml.safe_load(file) | ||
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with open(hepdata_table_wm, 'r') as file: | ||
input_wm = yaml.safe_load(file) | ||
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values_wm = input_wm['dependent_variables'][0]['values'] | ||
values_wp = input_wp['dependent_variables'][0]['values'] | ||
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data_central = [values_wm[0]['value'] * 1000000, values_wp[0]['value'] * 1000000] | ||
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return data_central | ||
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def get_systematics(version=3): | ||
""" """ | ||
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uncertainties = [] | ||
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hepdata_table = f"rawdata/HEPData-ins1630886-v{version}-Table_5.yaml" | ||
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with open(hepdata_table, 'r') as file: | ||
input = yaml.safe_load(file) | ||
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# loop over systematics | ||
for unc_labels in input['dependent_variables'][0]['values'][0]['errors']: | ||
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name = f"{unc_labels['label']}" | ||
values = [] | ||
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# loop over data points | ||
for unc in input['dependent_variables'][0]['values']: | ||
err = unc['errors'] | ||
# convert unc from TeV to GeV | ||
for e in err: | ||
if e['label'] == name: | ||
if name == 'Lumi:M': | ||
values.append(e['symerror'] * unc['value'] * 1000) | ||
else: | ||
values.append(e['symerror'] * 1000) | ||
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uncertainties.append([{"name": name, "values": values}]) | ||
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# # Luminosity uncertainty is 1.8 % of the central value (see https://inspirehep.net/literature/1630886) | ||
if version == 3: # in version 1 Lumi is included in the hepdata file already | ||
name = "ATLAS_LUMI" | ||
values = [ATLAS_LUMI_UNC * val for val in get_data_values()] | ||
uncertainties.append([{"name": name, "values": values}]) | ||
return uncertainties |
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nnpdf_data/nnpdf_data/commondata/ATLAS_WPWM_13TEV/kinematics.yaml
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bins: | ||
- k1: | ||
min: null | ||
mid: 0.0 | ||
max: null | ||
M2: | ||
min: null | ||
mid: 6.46174823e+03 | ||
max: null | ||
sqrts: | ||
min: null | ||
mid: 13000.0 | ||
max: null | ||
- k1: | ||
min: null | ||
mid: 0.0 | ||
max: null | ||
M2: | ||
min: null | ||
mid: 6.46174823e+03 | ||
max: null | ||
sqrts: | ||
min: null | ||
mid: 13000.0 | ||
max: null |
9 changes: 5 additions & 4 deletions
9
nnpdf_data/nnpdf_data/commondata/ATLAS_WPWM_13TEV/metadata.yaml
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nnpdf_data/nnpdf_data/commondata/ATLAS_WPWM_13TEV/rawdata/HEPData-ins1436497-v1-Table_8.yaml
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dependent_variables: | ||
- header: {name: SIG, units: NB} | ||
qualifiers: | ||
- {name: ABS(ETARAP(C=ELECTRON)), value: < 2.5} | ||
- {name: ABS(ETARAP(C=MUON)), value: < 2.5} | ||
- {name: MT, units: GEV, value: '> 50'} | ||
- {name: PT(C=ELECTRON), units: GEV, value: '> 25'} | ||
- {name: PT(C=MUON), units: GEV, value: '> 25'} | ||
- {name: PT(C=NU), units: GEV, value: '> 25'} | ||
- {name: RE, value: P P --> W+ < E+ NUE + MU+ NUMU > X} | ||
values: | ||
- errors: | ||
- {label: stat, symerror: 0.01} | ||
- {label: sys, symerror: 0.09} | ||
- {label: sys, symerror: 0.1} | ||
value: 4.53 | ||
independent_variables: | ||
- header: {name: SQRT(S), units: GEV} | ||
values: | ||
- {value: 13000.0} |
20 changes: 20 additions & 0 deletions
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nnpdf_data/nnpdf_data/commondata/ATLAS_WPWM_13TEV/rawdata/HEPData-ins1436497-v1-Table_9.yaml
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@@ -0,0 +1,20 @@ | ||
dependent_variables: | ||
- header: {name: SIG, units: NB} | ||
qualifiers: | ||
- {name: 'ABS(ETARAP(C=ELECTRON)}', value: < 2.5} | ||
- {name: ABS(ETARAP(C=MUON)), value: < 2.5} | ||
- {name: MT, units: GEV, value: '> 50'} | ||
- {name: PT(C=ELECTRON), units: GEV, value: '> 25'} | ||
- {name: PT(C=MUON), units: GEV, value: '> 25'} | ||
- {name: PT(C=NU), units: GEV, value: '> 25'} | ||
- {name: RE, value: P P --> W- < E- NUEBAR + MU- NUMUBAR > X} | ||
values: | ||
- errors: | ||
- {label: stat, symerror: 0.01} | ||
- {label: sys, symerror: 0.07} | ||
- {label: sys, symerror: 0.07} | ||
value: 3.5 | ||
independent_variables: | ||
- header: {name: SQRT(S), units: GEV} | ||
values: | ||
- {value: 13000.0} |