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t7phyt7phy
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topaz all impl
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‎nnpdf_data/nnpdf_data/commondata/TOPAZ_SIA-KA_58GEV_EE-KASUM/data.yaml‎

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data_central:
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- 0.41
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- 0.61
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- 0.63
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- 0.75
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- 0.69
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- 0.51
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- 0.39
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- 0.44
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- 0.48
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- 0.29
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- 0.24
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- 0.12

‎nnpdf_data/nnpdf_data/commondata/TOPAZ_SIA-KA_58GEV_EE-KASUM/filter.py‎

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from filter_core import magic
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import yaml
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table = "rawdata/Table2.yaml"
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ndat = 12
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var_name = 'xi'
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data, kin, err = magic(table, ndat, var_name, 1)
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with open('data.yaml', 'w') as f:
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yaml.dump(data, f, sort_keys=False)
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with open('kinematics.yaml', 'w') as f:
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yaml.dump(kin, f, sort_keys=False)
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with open('uncertainties.yaml', 'w') as f:
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yaml.dump(err, f, sort_keys=False)
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‎nnpdf_data/nnpdf_data/commondata/TOPAZ_SIA-KA_58GEV_EE-KASUM/filter_core.py‎

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../TOPAZ_SIA-PI_58GEV_EE-PISUM/filter_core.py

‎nnpdf_data/nnpdf_data/commondata/TOPAZ_SIA-KA_58GEV_EE-KASUM/kinematics.yaml‎

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bins:
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- xi:
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min: null
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mid: 1.32
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max: null
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- xi:
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min: null
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mid: 1.62
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max: null
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- xi:
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min: null
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mid: 1.92
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max: null
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- xi:
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min: null
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mid: 2.62
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max: null
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- xi:
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min: null
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mid: 2.77
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max: null
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- xi:
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min: null
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mid: 3.41
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max: null
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- xi:
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min: null
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mid: 3.51
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max: null
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- xi:
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min: null
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mid: 3.61
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max: null
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- xi:
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min: null
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mid: 3.77
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max: null
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- xi:
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min: null
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mid: 3.96
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max: null
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- xi:
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min: null
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mid: 4.14
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max: null
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- xi:
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min: null
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mid: 4.42
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max: null

‎nnpdf_data/nnpdf_data/commondata/TOPAZ_SIA-KA_58GEV_EE-KASUM/metadata.yaml‎

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setname: 'TOPAZ_SIA-KA_58GEV_EE-KASUM'
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nnpdf_metadata:
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nnpdf31_process: "SIA-KA"
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experiment: "TOPAZ"
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arXiv:
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url: "https://arxiv.org/abs/hep-ex/9412015"
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iNSPIRE:
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url: "https://inspirehep.net/literature/381900"
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hepdata:
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url: "https://www.hepdata.net/record/ins381900"
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version: 1
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version: 1
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version_comment: "Initial implementation"
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implemented_observables:
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- observable: {description: "normalized x-sec differential wrt $\xi$", label: '$\frac{1}{\sigma_{tot}}\frac{d\sigma^h}{d\xi}$', units: ''}
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observable_name: XI
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process_type: SIA_XI
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ndata: 12
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tables: [2]
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kinematics:
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variables:
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xi: {description: "ln(1/x_p)", label: '$\xi$', units: ''}
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file: kinematics.yaml
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data_central: data.yaml
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data_uncertainties:
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- uncertainties.yaml
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kinematic_coverage: [xi]
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plotting:
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dataset_label: 'TOPAZ 58 GEV SIA KA- + KA+ : $\frac{1}{\sigma_{tot}}\frac{d\sigma^h}{d\xi}$'
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x_scale: linear
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plot_x: xi
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y_label: '$\frac{1}{\sigma_{tot}}\frac{d\sigma^h}{d\xi}$'
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# theory:
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# FK_tables:
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# - -
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# operation: 'null'

‎nnpdf_data/nnpdf_data/commondata/TOPAZ_SIA-KA_58GEV_EE-KASUM/uncertainties.yaml‎

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definitions:
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error:
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definition: all uncertainties added in quadrature
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treatment: ADD
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type: UNCORR
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bins:
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- error: 0.08
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- error: 0.1
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- error: 0.1
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- error: 0.19
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- error: 0.16
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- error: 0.08
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- error: 0.06
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- error: 0.06
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- error: 0.06
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- error: 0.04
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- error: 0.03
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- error: 0.02

‎nnpdf_data/nnpdf_data/commondata/TOPAZ_SIA-PI_58GEV_EE-PISUM/data.yaml‎

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data_central:
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- 1.07
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- 1.5
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- 2.24
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- 2.75
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- 3.25
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- 3.75
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- 3.95
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- 3.84
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- 4.75
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- 4.86
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- 4.79
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- 4.53
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- 4.18
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- 3.82
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- 3.27
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- 2.27
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- 1.94

‎nnpdf_data/nnpdf_data/commondata/TOPAZ_SIA-PI_58GEV_EE-PISUM/filter.py‎

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from filter_core import magic
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import yaml
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table = "rawdata/Table2.yaml"
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ndat = 17
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var_name = 'xi'
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data, kin, err = magic(table, ndat, var_name, 0)
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with open('data.yaml', 'w') as f:
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yaml.dump(data, f, sort_keys=False)
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with open('kinematics.yaml', 'w') as f:
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yaml.dump(kin, f, sort_keys=False)
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with open('uncertainties.yaml', 'w') as f:
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yaml.dump(err, f, sort_keys=False)
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‎nnpdf_data/nnpdf_data/commondata/TOPAZ_SIA-PI_58GEV_EE-PISUM/filter_core.py‎

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import yaml
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from nnpdf_data.filter_utils.utils import percentage_to_absolute as pta
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from nnpdf_data.filter_utils.utils import symmetrize_errors as se
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from nnpdf_data.filter_utils.utils import prettify_float
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yaml.add_representer(float, prettify_float)
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def magic(table, ndat, var_name, index):
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with open(table, 'r') as f:
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input = yaml.safe_load(f)
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data_central = []
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kin = []
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error = []
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values = input['dependent_variables'][index]['values']
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total_bins = len(values)
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for i in range(total_bins):
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if values[i]['value'] == '-':
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continue
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else:
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kin_mid = input['independent_variables'][0]['values'][i]['value']
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kin_value = {var_name: {'min': None, 'mid': kin_mid, 'max': None}}
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data_central_value = values[i]['value']
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error_value = {}
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error_value['error'] = values[i]['errors'][0]['symerror']
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kin.append(kin_value)
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data_central.append(data_central_value)
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error.append(error_value)
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if len(data_central) != ndat:
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raise ValueError(f"Number of data points {len(data_central)} does not match expected {ndat}")
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error_definition = {}
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error_definition['error'] = {
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'definition': 'all uncertainties added in quadrature',
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'treatment': 'ADD',
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'type': 'UNCORR',
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}
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data_central_yaml = {'data_central': data_central}
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kin_yaml = {'bins': kin}
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uncertainties_yaml = {'definitions': error_definition, 'bins': error}
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return data_central_yaml, kin_yaml, uncertainties_yaml

‎nnpdf_data/nnpdf_data/commondata/TOPAZ_SIA-PI_58GEV_EE-PISUM/kinematics.yaml‎

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bins:
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- xi:
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min: null
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mid: 1.32
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max: null
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- xi:
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min: null
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mid: 1.62
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max: null
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- xi:
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min: null
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mid: 1.92
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max: null
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- xi:
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min: null
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mid: 2.22
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max: null
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- xi:
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min: null
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mid: 2.47
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max: null
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- xi:
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min: null
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mid: 2.62
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max: null
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- xi:
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min: null
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mid: 2.77
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max: null
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- xi:
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min: null
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mid: 2.98
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max: null
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- xi:
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min: null
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mid: 3.41
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max: null
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- xi:
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min: null
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mid: 3.51
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max: null
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- xi:
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min: null
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mid: 3.61
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max: null
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- xi:
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min: null
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mid: 3.77
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max: null
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- xi:
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min: null
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mid: 3.96
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max: null
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- xi:
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min: null
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mid: 4.14
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max: null
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- xi:
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min: null
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mid: 4.42
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max: null
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- xi:
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min: null
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mid: 4.71
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max: null
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- xi:
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min: null
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mid: 4.83
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max: null

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