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t7phyt7phy
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babr pro impl
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Lines changed: 844 additions & 1 deletion

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‎nnpdf_data/nnpdf_data/commondata/BABAR_SIA-PRO_10P54GEV_EE-PROSUM/data_conventional.yaml‎

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data_central:
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- 0.068
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- 0.094
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- 0.122
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- 0.145
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- 0.161
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- 0.171
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- 0.18
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- 0.188
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- 0.192
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- 0.193
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- 0.191
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- 0.187
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- 0.183
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- 0.179
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- 0.173
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- 0.165
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- 0.153
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- 0.139
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- 0.126
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- 0.113
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- 0.1006
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- 0.09
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- 0.0799
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- 0.0704
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- 0.062
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- 0.0548
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- 0.048
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- 0.0419
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- 0.0364
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- 0.0315
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- 0.0275
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- 0.0237
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- 0.0206
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- 0.0176
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- 0.015
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- 0.0128
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- 0.00926
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- 0.00564
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- 0.00324
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- 0.00173
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- 0.00087
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- 0.0004
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- 0.00017
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- 7.0e-05
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- 1.0e-05

‎nnpdf_data/nnpdf_data/commondata/BABAR_SIA-PRO_10P54GEV_EE-PROSUM/data_prompt.yaml‎

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data_central:
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- 0.0479
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- 0.0672
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- 0.0879
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- 0.1046
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- 0.1167
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- 0.1237
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- 0.1296
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- 0.1356
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- 0.138
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- 0.1384
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- 0.1363
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- 0.1331
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- 0.1292
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- 0.1256
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- 0.12
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- 0.1135
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- 0.1033
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- 0.0919
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- 0.0823
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- 0.0734
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- 0.0655
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- 0.0588
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- 0.0526
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- 0.0466
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- 0.0416
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- 0.0374
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- 0.0331
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- 0.0293
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- 0.0259
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- 0.0227
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- 0.0201
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- 0.0176
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- 0.0154
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- 0.0133
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- 0.01146
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- 0.00979
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- 0.00733
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- 0.00448
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- 0.0026
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- 0.00143
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- 0.00073
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- 0.00036
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- 0.00017
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- 7.0e-05
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- 1.0e-05

‎nnpdf_data/nnpdf_data/commondata/BABAR_SIA-PRO_10P54GEV_EE-PROSUM/filter.py‎

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from filter_core import magic
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import yaml
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table_1 = "rawdata/Table1.yaml"
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table_2 = "rawdata/Table2.yaml"
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ndat = 45
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var_name = 'ph'
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data_prompt, kin_prompt, err_prompt = magic(table_1, ndat, var_name, 2)
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with open('data_prompt.yaml', 'w') as f:
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yaml.dump(data_prompt, f, sort_keys=False)
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with open('kinematics_prompt.yaml', 'w') as f:
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yaml.dump(kin_prompt, f, sort_keys=False)
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with open('uncertainties_prompt.yaml', 'w') as f:
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yaml.dump(err_prompt, f, sort_keys=False)
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data_conventional, kin_conventional, err_conventional = magic(table_2, ndat, var_name, 2)
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with open('data_conventional.yaml', 'w') as f:
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yaml.dump(data_conventional, f, sort_keys=False)
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with open('kinematics_conventional.yaml', 'w') as f:
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yaml.dump(kin_conventional, f, sort_keys=False)
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with open('uncertainties_conventional.yaml', 'w') as f:
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yaml.dump(err_conventional, f, sort_keys=False)
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‎nnpdf_data/nnpdf_data/commondata/BABAR_SIA-PRO_10P54GEV_EE-PROSUM/filter_core.py‎

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../BABAR_SIA-PI_10P54GEV_EE-PISUM/filter_core.py

‎nnpdf_data/nnpdf_data/commondata/BABAR_SIA-PRO_10P54GEV_EE-PROSUM/kinematics_conventional.yaml‎

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bins:
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- ph:
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min: 0.2
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mid: null
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max: 0.25
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- ph:
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min: 0.25
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mid: null
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max: 0.3
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- ph:
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min: 0.3
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mid: null
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max: 0.35
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- ph:
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min: 0.35
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mid: null
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max: 0.4
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- ph:
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min: 0.4
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mid: null
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max: 0.45
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- ph:
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min: 0.45
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mid: null
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max: 0.5
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- ph:
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min: 0.5
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mid: null
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max: 0.55
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- ph:
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min: 0.55
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mid: null
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max: 0.6
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- ph:
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min: 0.6
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mid: null
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max: 0.65
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- ph:
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min: 0.65
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mid: null
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max: 0.7
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- ph:
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min: 0.7
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mid: null
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max: 0.75
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- ph:
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min: 0.75
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mid: null
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max: 0.8
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- ph:
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min: 0.8
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mid: null
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max: 0.85
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- ph:
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min: 0.85
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mid: null
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max: 0.9
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- ph:
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min: 0.9
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mid: null
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max: 0.95
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- ph:
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min: 0.95
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mid: null
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max: 1.0
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- ph:
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min: 1.0
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mid: null
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max: 1.1
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- ph:
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min: 1.1
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mid: null
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max: 1.2
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- ph:
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mid: null
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max: 1.3
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- ph:
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min: 1.3
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mid: null
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max: 1.4
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- ph:
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mid: null
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max: 1.5
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- ph:
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min: 1.5
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mid: null
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max: 1.6
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- ph:
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mid: null
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max: 1.7
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- ph:
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mid: null
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max: 1.8
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- ph:
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min: 1.8
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mid: null
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max: 1.9
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- ph:
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min: 1.9
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mid: null
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max: 2.0
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- ph:
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min: 2.0
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mid: null
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max: 2.1
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- ph:
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min: 2.1
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mid: null
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max: 2.2
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- ph:
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min: 2.2
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mid: null
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max: 2.3
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- ph:
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min: 2.3
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mid: null
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max: 2.4
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- ph:
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min: 2.4
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mid: null
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max: 2.5
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- ph:
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min: 2.5
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mid: null
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max: 2.6
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- ph:
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min: 2.6
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mid: null
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max: 2.7
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- ph:
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min: 2.7
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mid: null
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max: 2.8
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- ph:
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mid: null
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max: 2.9
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- ph:
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min: 2.9
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mid: null
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max: 3.0
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- ph:
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min: 3.0
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mid: null
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max: 3.25
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- ph:
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mid: null
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max: 3.5
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- ph:
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min: 3.5
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mid: null
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max: 3.75
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- ph:
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min: 3.75
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mid: null
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max: 4.0
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- ph:
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min: 4.0
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mid: null
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max: 4.25
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- ph:
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min: 4.25
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mid: null
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max: 4.5
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- ph:
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mid: null
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max: 4.75
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- ph:
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min: 4.75
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mid: null
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max: 5.0
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- ph:
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min: 5.0
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mid: null
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max: 5.27

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