diff --git a/nnpdf_data/nnpdf_data/commondata/LHCB_WPWM_5P02TEV_MUON/data_wm.yaml b/nnpdf_data/nnpdf_data/commondata/LHCB_WPWM_5P02TEV_MUON/data_wm.yaml new file mode 100644 index 0000000000..6c398e2c5d --- /dev/null +++ b/nnpdf_data/nnpdf_data/commondata/LHCB_WPWM_5P02TEV_MUON/data_wm.yaml @@ -0,0 +1,13 @@ +data_central: +- 1.48142832e+01 +- 1.57027943e+01 +- 1.55927744e+01 +- 1.60921492e+01 +- 1.65288913e+01 +- 1.45679952e+01 +- 1.02647556e+01 +- 6.13236386e+00 +- 3.28241975e+00 +- 2.41397688e+00 +- 1.65286727e+00 +- 1.41928513e+00 diff --git a/nnpdf_data/nnpdf_data/commondata/LHCB_WPWM_5P02TEV_MUON/data_wp.yaml b/nnpdf_data/nnpdf_data/commondata/LHCB_WPWM_5P02TEV_MUON/data_wp.yaml new file mode 100644 index 0000000000..286d15cd12 --- /dev/null +++ b/nnpdf_data/nnpdf_data/commondata/LHCB_WPWM_5P02TEV_MUON/data_wp.yaml @@ -0,0 +1,13 @@ +data_central: +- 1.19271379e+01 +- 1.43611974e+01 +- 1.76648107e+01 +- 1.88674985e+01 +- 2.27317878e+01 +- 2.34951098e+01 +- 1.71560690e+01 +- 1.04523628e+01 +- 6.00803730e+00 +- 3.45628674e+00 +- 2.58519013e+00 +- 1.74955042e+00 diff --git a/nnpdf_data/nnpdf_data/commondata/LHCB_WPWM_5P02TEV_MUON/filter.py b/nnpdf_data/nnpdf_data/commondata/LHCB_WPWM_5P02TEV_MUON/filter.py new file mode 100644 index 0000000000..f57930da40 --- /dev/null +++ b/nnpdf_data/nnpdf_data/commondata/LHCB_WPWM_5P02TEV_MUON/filter.py @@ -0,0 +1,405 @@ +import pathlib + +import numpy as np +import pandas as pd +import yaml + +from nnpdf_data.filter_utils.utils import covmat_to_artunc, prettify_float + +yaml.add_representer(float, prettify_float) + +MW_VALUE = 80.398 # GeV +SQRT_S = 5_020.0 # GeV + + +def load_yaml(W_sign: str, version: int = 1) -> dict: + """Load the HEP data table in yaml format. + + Parameters + ---------- + W_sign: sign of cc dy + version: hepdata version + + Returns + ------- + dict: + ditionary containing the table contents + + """ + filename = f"HEPData-ins2972386-v{version}-W^{W_sign}_to_mu^{W_sign}_nu_{{mu}}_dsigma_dp_T" + table = pathlib.Path(f"rawdata/{filename}.yaml") + + return yaml.safe_load(table.read_text()) + +def read_metadata() -> tuple[int, int, list]: + """Read the version, number of datapoints, table identificators + from metadata. + + Returns + ------- + tuple(int, int, list): + data version, number of datapoints (per table), table names + + """ + metadata = pathlib.Path("metadata.yaml") + content = yaml.safe_load(metadata.read_text()) + + version = content["hepdata"]["version"] + nb_datapoints = content["implemented_observables"][0]["ndata"] + tables = [] + for i in range(2): + tables.append(content['implemented_observables'][i]["tables"][0]) + # tables = content["implemented_observables"][0]["tables"] + + return version, nb_datapoints, tables + +def get_kinematics(hepdata: dict, bin_index: list) -> list: + """Read the kinematics (bins) for a chosen charged current sign from hepdata + W_sign determined implicitly through load_yaml + + Parameters + ---------- + hepdata: dict + dictionary containing all data info. We get it from load_yaml + bin_index: list + list of Non-empty bin index. We get its length from read_metadata + + Returns + ------- + list of kinematics bins, i.e. list of dics of form [{pT: {min: , max: , mid: }, m_W2: {...}] + + """ + ptbins = hepdata["independent_variables"][0]["values"] + + kinematics = [] + for bins in bin_index: + ptmin = float(ptbins[bins]["low"]) + ptmax = float(ptbins[bins]["high"]) + kin_value = { + "pT": {"min": ptmin, "mid": 0.5 * (ptmin + ptmax), "max": ptmax}, + "m_W2": {"min": None, "mid": MW_VALUE ** 2, "max": None}, + "sqrts": {"min": None, "mid": SQRT_S, "max": None}, + } + kinematics.append(kin_value) + + return kinematics + +def get_data_values(hepdata: dict, bin_index: list, indx: int = 0) -> list: + """Extract the central values from the HepData yaml file. W_sign determined + implicitly in load_yaml + + Parameters + ---------- + hepdata: dict + dictionary containing all data info + bin_index: list + list of Non-empty bin index + idx: int + index from which to read the central value, default=0 + + Returns + ------- + list: + list of dictionaries whose contents are the central values + + """ + central = hepdata["dependent_variables"][indx]["values"] + + return [central[i]["value"] for i in bin_index] + +def get_errors(hepdata: dict, bin_index: list, indx: int = 0) -> dict: + """Extract the error values from the HepData yaml file. + W_sign determined implicitly via load_yaml + + Parameters + ---------- + hepdata: dict + dictionary containing all data info: get it from load_yaml + bin_index: list + list of Non-empty bin index: for indexing datapoints [0, ..., ndata-1] + indx: int + index from which the errors will be read + + Returns + ------- + list: + list of dictionaries whose contents are the various + source of uncertainties + + """ + errors = hepdata["dependent_variables"][indx]["values"] + + stat, sys = [], [] + for idx in bin_index: + stat.append(errors[idx]["errors"][0]["symerror"]) # 0 for stat + sys.append(errors[idx]["errors"][1]["symerror"]) # 1 for syst + + return {"stat": stat, "sys": sys} + +def read_stat_corrmatrix(ndata: int, bin_index: list, W_sign: str = "+", version: int = 1) -> np.ndarray: + """Reads the statistical correlation matrix for a chosen cc dy sign + no need to symmetrise as it's already symmetric + + Parameters + ---------- + nb_datapoints: int + total number of datapoints + + Returns + ------- + np.ndarray: (nb_datapoints, nb_datapoints) + a symmetrized square matrix + + """ + + filename = f"HEPData-ins2972386-v{version}-Statistical_correlation_matrix_for_W^{W_sign}" + table = pathlib.Path(f"rawdata/{filename}.yaml") + corr_vals = yaml.safe_load(table.read_text())['dependent_variables'][0]['values'] + corrmat = np.array([[float(0)]*ndata]*ndata) + for i in bin_index: + for j in bin_index: + corrmat[i,j] = corr_vals[i*ndata+j]['value'] + + return corrmat + +def read_sys_corrmatrix(ndata: int, bin_index: list, version: int = 1) -> np.ndarray: + """Reads the total systematic correlation matrix + no need to symmetrise as it's already symmetric + + Parameters + ---------- + nb_datapoints: int + total number of datapoints (24, for both + and -) + bin_index: [0, 1, ..., 23] + + Returns + ------- + np.ndarray: (nb_datapoints, nb_datapoints) + a symmetrized square matrix + + """ + filename = f"HEPData-ins2972386-v{version}-Systematic_correlation_matrix_for_W^{{pm}}_(combined)" + table = pathlib.Path(f"rawdata/{filename}.yaml") + corr_vals = yaml.safe_load(table.read_text())['dependent_variables'][0]['values'] + corrmat = np.array([[float(0)]*ndata]*ndata) + for i in bin_index: + for j in bin_index: + corrmat[i,j] = corr_vals[i*ndata+j]['value'] + + return corrmat + +def corr_to_cov(corrmat: np.ndarray, unc: list) -> np.ndarray: + """Multiply the corrmat to get covmat. + + Parameters + ---------- + corrmat: np.ndarray + a squared matrix representing the corrmat + unc: list + a vector containing the correlated stat uncertainties + + Returns + ------- + np.ndarray: + covariance matrix multiplied by the total systematics + + """ + covmat = np.zeros(corrmat.shape) + + for i in range(corrmat.shape[0]): + for j in range(corrmat.shape[-1]): + covmat[i][j] = corrmat[i][j] * unc[i] * unc[j] + + return covmat + +def generate_artificial_unc(**kwargs) -> np.ndarray: + """A wrapper around `covmat_to_artunc` to return an array. + + Returns + ------- + np.ndarray: + a squared matrix with artificial uncertainties + """ + artunc = covmat_to_artunc(**kwargs) + return np.array(artunc) + +def generate_lum_uncertainties(centrals: list, rel_unc: float = 0.02) -> list: + ''' + generates luminosity uncertainty on central value for each bin. As per paper, + the luminosity uncertainty is 2% + + Parameters + ---------- + centrals: list + a list of central values in each bin + rel_unc: float + relative luminosity uncertainty, as above, specified as 0.02 + + Returns + ------- + list: + list of luminosity uncertainties + + ''' + lum_errors = [] + for value in centrals: + lum_errors.append(value*rel_unc) + return lum_errors + +def aggregate_uncertainties(stat_art_unc: dict, sys_art_unc: np.ndarray, lum_unc: dict) -> dict: + ''' + take statistical, systematic artificial uncertainties and luminosity uncertainties and aggregate them into a yaml-able lists + + Parameters + ---------- + stat_art_unc: dict + dictionary with two keys, + and - + each value of the dictionary is a 12x12 array of artificial uncertainties + sys_art_unc: np.ndarray + a 24x24 array of systematic artificial uncertainties + lum_unc: dict + a dictionary with two keys, + and - + each value of the dictionary is a list of luminosity uncertainties for each bin + Returns + ------- + dict: + dictionary with two keys, + and - + each value of a dictionary is a list with each entry corresponding to one bin. + each entry is a dictionary listing all uncertainties for a given bin + ''' + errors = {} + for W_sign in ['+', '-']: + errors[W_sign]=[] + for row in stat_art_unc[W_sign]: + errors[W_sign].append({f"stat_corr_{i + 1}": float(row[i]) for i in range(len(row))}) + + + for i, row in enumerate(sys_art_unc): + if i < 12: + errors["+"][i] = errors["+"][i] | {f"sys_corr_{j+1}": float(row[j]) for j in range(len(row))} + else: + errors["-"][i-12] = errors["-"][i-12] | {f"sys_corr_{j+1}": float(row[j]) for j in range(len(row))} + + for W_sign in lum_unc.keys(): + for i, val in enumerate(lum_unc[W_sign]): + errors[W_sign][i]['luminosity'] = val + + return errors + +def dump_commondata(kinematics: dict, data: dict, errors: dict, nbpoints: int) -> None: + """Function that generates and writes the commondata files. + + Parameters + ---------- + kinematics: dict + dictionary with two keys, + and - + each value is a list of bin kinematics, obtained via get_kinematics + data: dict + dictionary with two keys, + and - + each value is a list of bin central values, obtained via get_data_values + errors: dict + dictionary with two keys, + and - + contains uncertainties for each bin in a form of dictionary, obtained via aggregate_uncertainties + + + """ + error_definition = { + f"stat_corr_{i + 1}": { + "description": "Correlated statistical uncertainties", + "treatment": "ADD", + "type": "CORR", + } + for i in range(nbpoints) + } + + error_definition.update({ + f"sys_corr_{i+1}": { + "description": "Correlated systematic uncertainties", + "treatment": "ADD", + "type": "CORR" + } + for i in range(nbpoints*2) + }) + + error_definition["luminosity"] = { + "description": "Luminosity uncertainty", + "treatment": "MULT", + "type": "LHCBLUMI5P02TEV" + } + + errors_p = {"definitions": error_definition, "bins": errors["+"]} + + errors_m = {"definitions": error_definition, "bins": errors["-"]} + + with open("data_wm.yaml", "w") as file: + yaml.dump({"data_central": data['-']}, file, sort_keys=False) + + with open("data_wp.yaml", "w") as file: + yaml.dump({"data_central": data['+']}, file, sort_keys=False) + + with open("kinematics_wp.yaml", "w") as file: + yaml.dump({"bins": kinematics['+']}, file, sort_keys=False) + + with open("kinematics_wm.yaml", "w") as file: + yaml.dump({"bins": kinematics['-']}, file, sort_keys=False) + + with open("uncertainties_wp.yaml", "w") as file: + yaml.dump(errors_p, file, sort_keys=False) + + with open("uncertainties_wm.yaml", "w") as file: + yaml.dump(errors_m, file, sort_keys=False) + +def main_filter() -> None: + """Main driver of the filter that produces commmondata. + + There are three main different sources of uncertainties. + + 1. Correlated Statistical uncertainties: ADD, CORR + constructed by extracting the artificial statistical uncertainties + from the covariance matrix + + 2. Correlated Systematic uncertainties: ADD, CORR: + constructed by extracting the artificial statistical uncertainties + from the covariance matrix + + 3. Luminosity Systematic uncertainties: MULT, LHCBLUMI5P02TEV + as stated in the paper, 2% of each central value + """ + version, nb_data, tables = read_metadata() + + kinematics = {} # bins of pT, m_W2, sqrts, read from data + data_central = {} # cetral values of diff XS, read from data + uncertainties = {} # sys and stat uncertainties for each bin + lum_unc = {} # luminosity uncertainty, calculated as 2% of each central value + stat_art_unc = {} #statistical artificial uncertainties, obtained from correlation matrix + for W_sign in tables: # Loop over tables + bin_index = list(range(nb_data)) + hepdata = load_yaml(W_sign) + + # Extract the kinematics, data, and uncertainties + kinematics[W_sign] = get_kinematics(hepdata, bin_index) + data_central[W_sign] = get_data_values(hepdata, bin_index) + uncertainties[W_sign] = get_errors(hepdata, bin_index) + + # get luminosity uncertainties + lum_unc[W_sign] = generate_lum_uncertainties(data_central[W_sign]) + + # get statistical artificial uncertainties + stat_corrmat = read_stat_corrmatrix(nb_data, bin_index, W_sign) + stat_covmat_list = corr_to_cov(stat_corrmat, uncertainties[W_sign]['stat']).flatten() + stat_art_unc[W_sign] = generate_artificial_unc(ndata = nb_data, covmat_list = stat_covmat_list) + + # get systematic artificial uncertainties + sys_corrmat = read_sys_corrmatrix(ndata = 2*nb_data, bin_index = list(range(2*nb_data))) + sys_uncertainties_all = uncertainties['+']['sys'] + uncertainties['-']['sys'] + sys_covmat_list = corr_to_cov(corrmat = sys_corrmat, unc = sys_uncertainties_all).flatten() + sys_art_unc = generate_artificial_unc(ndata = 2*nb_data, covmat_list = sys_covmat_list) + + # aggregate all uncertainties + errors = aggregate_uncertainties(stat_art_unc, sys_art_unc, lum_unc) + + # create commondata files + dump_commondata(kinematics = kinematics, data = data_central, errors = errors, nbpoints = nb_data) + +if __name__ == "__main__": + main_filter() diff --git a/nnpdf_data/nnpdf_data/commondata/LHCB_WPWM_5P02TEV_MUON/kinematics_wm.yaml b/nnpdf_data/nnpdf_data/commondata/LHCB_WPWM_5P02TEV_MUON/kinematics_wm.yaml new file mode 100644 index 0000000000..391e226f96 --- /dev/null +++ b/nnpdf_data/nnpdf_data/commondata/LHCB_WPWM_5P02TEV_MUON/kinematics_wm.yaml @@ -0,0 +1,145 @@ +bins: +- pT: + min: 28.0 + mid: 29.0 + max: 30.0 + m_W2: + min: null + mid: 6.46383840e+03 + max: null + sqrts: + min: null + mid: 5020.0 + max: null +- pT: + min: 30.0 + mid: 31.0 + max: 32.0 + m_W2: + min: null + mid: 6.46383840e+03 + max: null + sqrts: + min: null + mid: 5020.0 + max: null +- pT: + min: 32.0 + mid: 33.0 + max: 34.0 + m_W2: + min: null + mid: 6.46383840e+03 + max: null + sqrts: + min: null + mid: 5020.0 + max: null +- pT: + min: 34.0 + mid: 35.0 + max: 36.0 + m_W2: + min: null + mid: 6.46383840e+03 + max: null + sqrts: + min: null + mid: 5020.0 + max: null +- pT: + min: 36.0 + mid: 37.0 + max: 38.0 + m_W2: + min: null + mid: 6.46383840e+03 + max: null + sqrts: + min: null + mid: 5020.0 + max: null +- pT: + min: 38.0 + mid: 39.0 + max: 40.0 + m_W2: + min: null + mid: 6.46383840e+03 + max: null + sqrts: + min: null + mid: 5020.0 + max: null +- pT: + min: 40.0 + mid: 41.0 + max: 42.0 + m_W2: + min: null + mid: 6.46383840e+03 + max: null + sqrts: + min: null + mid: 5020.0 + max: null +- pT: + min: 42.0 + mid: 43.0 + max: 44.0 + m_W2: + min: null + mid: 6.46383840e+03 + max: null + sqrts: + min: null + mid: 5020.0 + max: null +- pT: + min: 44.0 + mid: 45.0 + max: 46.0 + m_W2: + min: null + mid: 6.46383840e+03 + max: null + sqrts: + min: null + mid: 5020.0 + max: null +- pT: + min: 46.0 + mid: 47.0 + max: 48.0 + m_W2: + min: null + mid: 6.46383840e+03 + max: null + sqrts: + min: null + mid: 5020.0 + max: null +- pT: + min: 48.0 + mid: 49.0 + max: 50.0 + m_W2: + min: null + mid: 6.46383840e+03 + max: null + sqrts: + min: null + mid: 5020.0 + max: null +- pT: + min: 50.0 + mid: 51.0 + max: 52.0 + m_W2: + min: null + mid: 6.46383840e+03 + max: null + sqrts: + min: null + mid: 5020.0 + max: null diff --git a/nnpdf_data/nnpdf_data/commondata/LHCB_WPWM_5P02TEV_MUON/kinematics_wp.yaml b/nnpdf_data/nnpdf_data/commondata/LHCB_WPWM_5P02TEV_MUON/kinematics_wp.yaml new file mode 100644 index 0000000000..391e226f96 --- /dev/null +++ b/nnpdf_data/nnpdf_data/commondata/LHCB_WPWM_5P02TEV_MUON/kinematics_wp.yaml @@ -0,0 +1,145 @@ +bins: +- pT: + min: 28.0 + mid: 29.0 + max: 30.0 + m_W2: + min: null + mid: 6.46383840e+03 + max: null + sqrts: + min: null + mid: 5020.0 + max: null +- pT: + min: 30.0 + mid: 31.0 + max: 32.0 + m_W2: + min: null + mid: 6.46383840e+03 + max: null + sqrts: + min: null + mid: 5020.0 + max: null +- pT: + min: 32.0 + mid: 33.0 + max: 34.0 + m_W2: + min: null + mid: 6.46383840e+03 + max: null + sqrts: + min: null + mid: 5020.0 + max: null +- pT: + min: 34.0 + mid: 35.0 + max: 36.0 + m_W2: + min: null + mid: 6.46383840e+03 + max: null + sqrts: + min: null + mid: 5020.0 + max: null +- pT: + min: 36.0 + mid: 37.0 + max: 38.0 + m_W2: + min: null + mid: 6.46383840e+03 + max: null + sqrts: + min: null + mid: 5020.0 + max: null +- pT: + min: 38.0 + mid: 39.0 + max: 40.0 + m_W2: + min: null + mid: 6.46383840e+03 + max: null + sqrts: + min: null + mid: 5020.0 + max: null +- pT: + min: 40.0 + mid: 41.0 + max: 42.0 + m_W2: + min: null + mid: 6.46383840e+03 + max: null + sqrts: + min: null + mid: 5020.0 + max: null +- pT: + min: 42.0 + mid: 43.0 + max: 44.0 + m_W2: + min: null + mid: 6.46383840e+03 + max: null + sqrts: + min: null + mid: 5020.0 + max: null +- pT: + min: 44.0 + mid: 45.0 + max: 46.0 + m_W2: + min: null + mid: 6.46383840e+03 + max: null + sqrts: + min: null + mid: 5020.0 + max: null +- pT: + min: 46.0 + mid: 47.0 + max: 48.0 + m_W2: + min: null + mid: 6.46383840e+03 + max: null + sqrts: + min: null + mid: 5020.0 + max: null +- pT: + min: 48.0 + mid: 49.0 + max: 50.0 + m_W2: + min: null + mid: 6.46383840e+03 + max: null + sqrts: + min: null + mid: 5020.0 + max: null +- pT: + min: 50.0 + mid: 51.0 + max: 52.0 + m_W2: + min: null + mid: 6.46383840e+03 + max: null + sqrts: + min: null + mid: 5020.0 + max: null diff --git a/nnpdf_data/nnpdf_data/commondata/LHCB_WPWM_5P02TEV_MUON/metadata.yaml b/nnpdf_data/nnpdf_data/commondata/LHCB_WPWM_5P02TEV_MUON/metadata.yaml new file mode 100644 index 0000000000..7f35757be5 --- /dev/null +++ b/nnpdf_data/nnpdf_data/commondata/LHCB_WPWM_5P02TEV_MUON/metadata.yaml @@ -0,0 +1,76 @@ +setname: "LHCB_WPWM_5P02TEV_MUON" + +version: 1 +version_comment: "First implementation" + +# References +arXiv: + url: "https://arxiv.org/abs/2509.18817" +iNSPIRE: + url: "https://inspirehep.net/literature/2972386" +hepdata: + url: "https://www.hepdata.net/record/ins2972386" + version: 1 + +nnpdf_metadata: + nnpdf31_process: "DY CC" + experiment: "LHCb" + +implemented_observables: +- observable_name: "DIF_WP" + process_type: "DY_CC_PT" + tables: ["+"] + ndata: 12 + observable: + description: r"differential cross section $d\sigma/dp_T$ for $W^+$" + label: r"$d\sigma / dp_T$" + units: "[pb/GeV]" + kinematics: + file: kinematics_wp.yaml + variables: + pT: {description: "Muon transverse momentum", label: "$p_T$", units: "GeV"} + m_W2: {description: "W boson Mass", label: "$M^2$", units: "$GeV^2$"} + sqrts: {description: "Center of Mass Energy", label: '$\sqrt{s}$', units: "$GeV$"} + kinematic_coverage: [pT, m_W2, sqrts] + data_central: data_wp.yaml + data_uncertainties: + - uncertainties_wp.yaml + + theory: + FK_tables: + - - LHCB_WPWM_5P02TEV_WP # placeholder names + - LHCB_WPWM_5P02TEV_WM + + plotting: + dataset_label: r"LHCb $W^+ \to \mu^+\nu$ 5.02 TeV" + plot_x: pT + y_label: r'$d\sigma/dp_T$ (pb/GeV)' + +- observable_name: "DIF_WM" + process_type: "DY_CC_PT" + tables: ["-"] + ndata: 12 + observable: + description: r"differential cross section $d\sigma/dp_T$ for $W^-$" + label: r"$d\sigma / dp_T$" + units: "[pb/GeV]" + kinematics: + file: kinematics_wm.yaml + variables: + pT: {description: "Muon transverse momentum", label: "$p_T$", units: "GeV"} + m_W2: {description: "W boson Mass", label: "$M^2$", units: "$GeV^2$"} + sqrts: {description: "Center of Mass Energy", label: '$\sqrt{s}$', units: "$GeV$"} + kinematic_coverage: [pT, m_W2, sqrts] + data_central: data_wm.yaml + data_uncertainties: + - uncertainties_wm.yaml + + theory: + FK_tables: + - - LHCB_WPWM_5P02TEV_WP # placeholder names + - LHCB_WPWM_5P02TEV_WM + + plotting: + dataset_label: r"LHCb $W^- \to \mu^-\nu$ 5.02 TeV" + plot_x: pT + y_label: r'$d\sigma/dp_T$ (pb/GeV)' diff --git a/nnpdf_data/nnpdf_data/commondata/LHCB_WPWM_5P02TEV_MUON/rawdata/HEPData-ins2972386-v1-Statistical_correlation_matrix_for_W^+.yaml b/nnpdf_data/nnpdf_data/commondata/LHCB_WPWM_5P02TEV_MUON/rawdata/HEPData-ins2972386-v1-Statistical_correlation_matrix_for_W^+.yaml new file mode 100644 index 0000000000..f6ee6df2df --- /dev/null +++ b/nnpdf_data/nnpdf_data/commondata/LHCB_WPWM_5P02TEV_MUON/rawdata/HEPData-ins2972386-v1-Statistical_correlation_matrix_for_W^+.yaml @@ -0,0 +1,733 @@ +independent_variables: +- header: + name: $p_T$ col + units: GeV + values: + - low: 28.0 + high: 30.0 + - low: 30.0 + high: 32.0 + - low: 32.0 + high: 34.0 + - low: 34.0 + high: 36.0 + - low: 36.0 + high: 38.0 + - low: 38.0 + high: 40.0 + - low: 40.0 + high: 42.0 + - low: 42.0 + high: 44.0 + - low: 44.0 + high: 46.0 + - low: 46.0 + high: 48.0 + - low: 48.0 + high: 50.0 + - low: 50.0 + high: 52.0 + - low: 28.0 + high: 30.0 + - low: 30.0 + high: 32.0 + - low: 32.0 + high: 34.0 + - low: 34.0 + high: 36.0 + - low: 36.0 + high: 38.0 + - low: 38.0 + high: 40.0 + - low: 40.0 + high: 42.0 + - low: 42.0 + high: 44.0 + - low: 44.0 + high: 46.0 + - low: 46.0 + high: 48.0 + - low: 48.0 + high: 50.0 + - low: 50.0 + high: 52.0 + - low: 28.0 + high: 30.0 + - low: 30.0 + high: 32.0 + - low: 32.0 + high: 34.0 + - low: 34.0 + high: 36.0 + - low: 36.0 + high: 38.0 + - low: 38.0 + high: 40.0 + - low: 40.0 + high: 42.0 + - low: 42.0 + high: 44.0 + - low: 44.0 + high: 46.0 + - low: 46.0 + high: 48.0 + - 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header: + name: $d\sigma/dp_T$ + units: pb/GeV + values: + - value: 11.927137859263889 + errors: + - label: (Stat.) + symerror: 0.4394379490825129 + - label: (Syst.) + symerror: 0.3551085433189915 + - value: 14.36119742050456 + errors: + - label: (Stat.) + symerror: 0.456210635300955 + - label: (Syst.) + symerror: 0.2886613498976826 + - value: 17.66481067531384 + errors: + - label: (Stat.) + symerror: 0.48399673009093697 + - label: (Syst.) + symerror: 0.30715388635540913 + - value: 18.8674985376766 + errors: + - label: (Stat.) + symerror: 0.5061251766815191 + - label: (Syst.) + symerror: 0.3088299065501175 + - value: 22.731787843969546 + errors: + - label: (Stat.) + symerror: 0.5608823674172305 + - label: (Syst.) + symerror: 0.35805732999565915 + - value: 23.49510977873119 + errors: + - label: (Stat.) + symerror: 0.5831118208108432 + - label: (Syst.) + symerror: 0.3138550290908145 + - value: 17.15606898734261 + errors: + - label: (Stat.) + symerror: 0.5270528355555728 + - label: 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b/nnpdf_data/nnpdf_data/commondata/LHCB_WPWM_5P02TEV_MUON/rawdata/HEPData-ins2972386-v1-W^-_to_mu^-_nu_{mu}_dsigma_dp_T.yaml new file mode 100644 index 0000000000..57e25119c6 --- /dev/null +++ b/nnpdf_data/nnpdf_data/commondata/LHCB_WPWM_5P02TEV_MUON/rawdata/HEPData-ins2972386-v1-W^-_to_mu^-_nu_{mu}_dsigma_dp_T.yaml @@ -0,0 +1,106 @@ +independent_variables: +- header: + name: $p_T$ + units: GeV + values: + - low: 28.0 + high: 30.0 + - low: 30.0 + high: 32.0 + - low: 32.0 + high: 34.0 + - low: 34.0 + high: 36.0 + - low: 36.0 + high: 38.0 + - low: 38.0 + high: 40.0 + - low: 40.0 + high: 42.0 + - low: 42.0 + high: 44.0 + - low: 44.0 + high: 46.0 + - low: 46.0 + high: 48.0 + - low: 48.0 + high: 50.0 + - low: 50.0 + high: 52.0 +dependent_variables: +- header: + name: $d\sigma/dp_T$ + units: pb/GeV + values: + - value: 14.81428319359769 + errors: + - label: (Stat.) + symerror: 0.4741518990858836 + - label: (Syst.) + symerror: 0.34667196019299756 + - value: 15.702794267882647 + errors: + - 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+ symerror: 0.28090416185151246 + - label: (Syst.) + symerror: 0.22637619771922976 + - value: 2.4139768844054776 + errors: + - label: (Stat.) + symerror: 0.2438744592473608 + - label: (Syst.) + symerror: 0.13984733045381606 + - value: 1.6528672725952744 + errors: + - label: (Stat.) + symerror: 0.21566350372651288 + - label: (Syst.) + symerror: 0.15388825099188808 + - value: 1.419285128919418 + errors: + - label: (Stat.) + symerror: 0.1804347385927982 + - label: (Syst.) + symerror: 0.11187498280383434 diff --git a/nnpdf_data/nnpdf_data/commondata/LHCB_WPWM_5P02TEV_MUON/uncertainties_wm.yaml b/nnpdf_data/nnpdf_data/commondata/LHCB_WPWM_5P02TEV_MUON/uncertainties_wm.yaml new file mode 100644 index 0000000000..9843adeb15 --- /dev/null +++ b/nnpdf_data/nnpdf_data/commondata/LHCB_WPWM_5P02TEV_MUON/uncertainties_wm.yaml @@ -0,0 +1,594 @@ +definitions: + stat_corr_1: + description: Correlated statistical uncertainties + treatment: ADD + type: CORR + stat_corr_2: + description: Correlated statistical uncertainties + treatment: ADD + type: CORR + stat_corr_3: + description: Correlated statistical uncertainties + treatment: ADD + type: CORR + stat_corr_4: + description: Correlated statistical uncertainties + treatment: ADD + type: CORR + stat_corr_5: + description: Correlated statistical uncertainties + treatment: ADD + type: CORR + stat_corr_6: + description: Correlated statistical uncertainties + treatment: ADD + type: CORR + stat_corr_7: + description: Correlated statistical uncertainties + treatment: ADD + type: CORR + stat_corr_8: + description: Correlated statistical uncertainties + treatment: ADD + type: CORR + stat_corr_9: + description: Correlated statistical uncertainties + treatment: ADD + type: CORR + stat_corr_10: + description: Correlated statistical uncertainties + treatment: ADD + type: CORR + stat_corr_11: + description: Correlated statistical uncertainties + treatment: ADD + type: CORR + stat_corr_12: + description: Correlated statistical uncertainties + treatment: ADD + type: CORR + sys_corr_1: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_2: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_3: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_4: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_5: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_6: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_7: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_8: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_9: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_10: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_11: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_12: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_13: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_14: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_15: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_16: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_17: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_18: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_19: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_20: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_21: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_22: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_23: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_24: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + luminosity: + description: Luminosity uncertainty + treatment: MULT + type: LHCBLUMI5P02TEV +bins: +- stat_corr_1: 4.63486378e-02 + stat_corr_2: -1.79168966e-01 + stat_corr_3: 2.49800733e-01 + stat_corr_4: -2.92332793e-01 + stat_corr_5: 2.01120513e-01 + stat_corr_6: -4.20202099e-02 + stat_corr_7: 2.05644937e-02 + stat_corr_8: -8.04028203e-03 + stat_corr_9: 4.05560921e-04 + stat_corr_10: -2.48615031e-03 + stat_corr_11: 6.97478423e-04 + stat_corr_12: -1.38023806e-03 + sys_corr_1: 1.35104412e-01 + sys_corr_2: 4.79248194e-02 + sys_corr_3: 2.22895849e-01 + sys_corr_4: 1.17277959e-01 + sys_corr_5: -7.85769684e-02 + sys_corr_6: -1.48635850e-01 + sys_corr_7: 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sys_corr_3: 1.69622052e-01 + sys_corr_4: 6.58741299e-02 + sys_corr_5: -2.40119419e-02 + sys_corr_6: 1.69394280e-02 + sys_corr_7: 3.38993204e-02 + sys_corr_8: 4.63274812e-02 + sys_corr_9: 1.27010265e-02 + sys_corr_10: -1.29998614e-02 + sys_corr_11: 5.17783335e-02 + sys_corr_12: -3.62503996e-02 + sys_corr_13: -1.90306198e-02 + sys_corr_14: 3.79927042e-02 + sys_corr_15: -2.62368827e-02 + sys_corr_16: -6.51011238e-03 + sys_corr_17: 1.36288177e-02 + sys_corr_18: 1.00978012e-02 + sys_corr_19: -6.20166520e-03 + sys_corr_20: -7.49661132e-03 + sys_corr_21: -1.08336434e-04 + sys_corr_22: -5.37207649e-04 + sys_corr_23: -1.20901174e-03 + sys_corr_24: -3.22579502e-03 + luminosity: 3.14055885e-01 +- stat_corr_1: 1.96416498e-01 + stat_corr_2: -2.79349257e-01 + stat_corr_3: -4.36279885e-02 + stat_corr_4: 1.99540712e-01 + stat_corr_5: 7.22703336e-02 + stat_corr_6: -2.35775563e-01 + stat_corr_7: -9.44314096e-02 + stat_corr_8: 9.32680517e-04 + stat_corr_9: 2.33533225e-04 + stat_corr_10: -1.29951884e-03 + stat_corr_11: 4.14591229e-04 + stat_corr_12: -8.50677262e-04 + sys_corr_1: 1.48371988e-01 + sys_corr_2: -8.16248160e-02 + sys_corr_3: 3.03165558e-02 + sys_corr_4: -1.01308933e-01 + sys_corr_5: -8.30110080e-02 + sys_corr_6: -1.00503547e-02 + sys_corr_7: 7.33381064e-02 + sys_corr_8: -3.96938840e-02 + sys_corr_9: -2.34763960e-02 + sys_corr_10: -5.95997241e-03 + sys_corr_11: 2.46949797e-02 + sys_corr_12: 2.21234573e-02 + sys_corr_13: -3.84628798e-02 + sys_corr_14: -1.45875653e-02 + sys_corr_15: 2.92875552e-02 + sys_corr_16: 9.49278223e-03 + sys_corr_17: -7.34402368e-03 + sys_corr_18: 1.07153049e-02 + sys_corr_19: 8.46312461e-03 + sys_corr_20: -1.36949637e-02 + sys_corr_21: -1.17564495e-03 + sys_corr_22: -1.93599051e-04 + sys_corr_23: -2.17050130e-03 + sys_corr_24: 3.76084256e-03 + luminosity: 3.11855488e-01 +- stat_corr_1: -2.93052877e-01 + stat_corr_2: 1.08680188e-01 + stat_corr_3: 2.42969109e-01 + stat_corr_4: 6.24639483e-05 + stat_corr_5: -1.40720118e-01 + stat_corr_6: -1.65765947e-01 + stat_corr_7: -1.70661754e-01 + stat_corr_8: 1.75758561e-02 + stat_corr_9: 1.64636950e-04 + stat_corr_10: 8.61361603e-04 + stat_corr_11: 2.85342415e-04 + stat_corr_12: -4.64434738e-04 + sys_corr_1: 1.43152837e-01 + sys_corr_2: 1.85048848e-01 + sys_corr_3: 7.07638572e-02 + sys_corr_4: -1.66789074e-02 + sys_corr_5: 1.07263873e-01 + sys_corr_6: -2.02482357e-02 + sys_corr_7: 2.97082321e-02 + sys_corr_8: 2.88651587e-02 + sys_corr_9: -3.70570278e-03 + sys_corr_10: 7.75143177e-02 + sys_corr_11: 4.27125742e-02 + sys_corr_12: 3.34406205e-02 + sys_corr_13: 3.43351696e-03 + sys_corr_14: -1.77493611e-02 + sys_corr_15: 1.74705204e-04 + sys_corr_16: -1.60061137e-02 + sys_corr_17: 3.66232444e-03 + sys_corr_18: 2.23518398e-03 + sys_corr_19: 9.79469333e-04 + sys_corr_20: -4.67870352e-04 + sys_corr_21: -9.73566564e-04 + sys_corr_22: 2.53433370e-03 + sys_corr_23: 2.53823806e-03 + sys_corr_24: -2.44522198e-03 + luminosity: 3.21842983e-01 +- stat_corr_1: 3.45926241e-01 + stat_corr_2: 1.12188572e-01 + stat_corr_3: -1.02025793e-01 + stat_corr_4: -2.02916637e-01 + stat_corr_5: -1.11399910e-01 + stat_corr_6: 2.65662918e-03 + stat_corr_7: -2.04958423e-01 + stat_corr_8: 5.17794779e-02 + stat_corr_9: 1.12037901e-04 + stat_corr_10: 7.80474562e-03 + stat_corr_11: 1.16830752e-04 + stat_corr_12: 5.43231844e-04 + sys_corr_1: 1.69638085e-01 + sys_corr_2: 8.26548951e-02 + sys_corr_3: -2.15057788e-02 + sys_corr_4: -8.25247746e-02 + sys_corr_5: -5.66729613e-02 + sys_corr_6: 5.76762081e-02 + sys_corr_7: 2.94895342e-02 + sys_corr_8: 4.70602082e-02 + sys_corr_9: 2.66247223e-02 + sys_corr_10: -5.40273522e-02 + sys_corr_11: 8.41046260e-03 + sys_corr_12: 2.21656092e-02 + sys_corr_13: -7.74325267e-03 + sys_corr_14: -2.20953831e-02 + sys_corr_15: -8.92779542e-03 + sys_corr_16: 5.26904448e-03 + sys_corr_17: 2.27126158e-02 + sys_corr_18: -2.30328337e-02 + sys_corr_19: 6.19488553e-03 + sys_corr_20: 1.19591798e-02 + sys_corr_21: 1.34478579e-03 + sys_corr_22: 1.43147349e-03 + sys_corr_23: 3.28372137e-03 + sys_corr_24: -1.83934885e-03 + luminosity: 3.30577826e-01 +- stat_corr_1: -2.77723452e-01 + stat_corr_2: -2.24888374e-01 + stat_corr_3: -1.64963858e-01 + stat_corr_4: -3.00976761e-02 + stat_corr_5: 8.57713305e-02 + stat_corr_6: 1.38968177e-01 + stat_corr_7: -1.69353608e-01 + stat_corr_8: 1.19105256e-01 + stat_corr_9: 7.60514868e-05 + stat_corr_10: 3.24716893e-02 + stat_corr_11: -4.79110354e-04 + stat_corr_12: 5.38027315e-03 + sys_corr_1: 1.23086254e-01 + sys_corr_2: -2.47977493e-01 + sys_corr_3: 7.01621316e-02 + sys_corr_4: 3.32955917e-02 + sys_corr_5: 8.00261971e-02 + sys_corr_6: 6.40133622e-02 + sys_corr_7: -2.79384977e-03 + sys_corr_8: 3.30241037e-02 + sys_corr_9: -6.31402944e-02 + sys_corr_10: -3.28210704e-03 + sys_corr_11: 9.73139334e-03 + sys_corr_12: 1.61704107e-02 + sys_corr_13: -1.50198534e-02 + sys_corr_14: 6.11226909e-03 + sys_corr_15: 7.24237425e-03 + sys_corr_16: 1.17312630e-03 + sys_corr_17: -1.96609521e-02 + sys_corr_18: -4.22176404e-03 + sys_corr_19: -5.22908177e-03 + sys_corr_20: 2.08246127e-02 + sys_corr_21: 1.16706527e-03 + sys_corr_22: -9.26995092e-04 + sys_corr_23: 1.67137456e-04 + sys_corr_24: 5.30083598e-03 + luminosity: 2.91359904e-01 +- stat_corr_1: 1.45439407e-01 + stat_corr_2: 1.58383693e-01 + stat_corr_3: 1.99635559e-01 + stat_corr_4: 1.62394765e-01 + stat_corr_5: 1.27969291e-01 + stat_corr_6: 7.46033370e-02 + stat_corr_7: -1.22302506e-02 + stat_corr_8: 1.85535170e-01 + stat_corr_9: -1.45011873e-04 + stat_corr_10: 9.82441704e-02 + stat_corr_11: -4.46621295e-03 + stat_corr_12: 2.72897795e-02 + sys_corr_1: 1.27056694e-01 + sys_corr_2: 1.13048901e-01 + sys_corr_3: -1.37432956e-01 + sys_corr_4: 2.35160582e-02 + sys_corr_5: 3.85409925e-02 + sys_corr_6: 4.23187124e-02 + sys_corr_7: -5.49111637e-02 + sys_corr_8: 3.25725983e-03 + sys_corr_9: 3.42691208e-02 + sys_corr_10: -2.03917644e-02 + sys_corr_11: 3.30473178e-02 + sys_corr_12: 2.43967830e-02 + sys_corr_13: -6.26265386e-03 + sys_corr_14: 3.02198378e-03 + sys_corr_15: -2.79738831e-02 + sys_corr_16: 1.19429709e-02 + sys_corr_17: -1.81366042e-02 + sys_corr_18: -3.00615338e-03 + sys_corr_19: 3.73454982e-04 + sys_corr_20: -9.16803290e-03 + sys_corr_21: -3.12187505e-03 + sys_corr_22: -2.41450170e-03 + sys_corr_23: -6.30383640e-03 + sys_corr_24: 1.08924878e-02 + luminosity: 2.05295112e-01 +- stat_corr_1: -5.28957630e-02 + stat_corr_2: -6.71327281e-02 + stat_corr_3: -1.00629398e-01 + stat_corr_4: -1.11658471e-01 + stat_corr_5: -1.15995203e-01 + stat_corr_6: -1.30818724e-01 + stat_corr_7: 1.31392242e-01 + stat_corr_8: 6.89049566e-02 + stat_corr_9: -1.85611161e-03 + stat_corr_10: 1.66345184e-01 + stat_corr_11: -2.48841470e-02 + stat_corr_12: 9.13186058e-02 + sys_corr_1: 7.21515437e-02 + sys_corr_2: -5.02220216e-02 + sys_corr_3: -5.59434908e-02 + sys_corr_4: 7.10535519e-02 + sys_corr_5: 8.33628928e-02 + sys_corr_6: 3.17235498e-02 + sys_corr_7: -6.08893985e-02 + sys_corr_8: -3.30160596e-03 + sys_corr_9: 2.62631998e-02 + sys_corr_10: -5.65186668e-02 + sys_corr_11: 1.69881714e-02 + sys_corr_12: -1.07891865e-02 + sys_corr_13: -1.17823049e-02 + sys_corr_14: -1.42817359e-02 + sys_corr_15: 2.75421940e-02 + sys_corr_16: -6.46102118e-03 + sys_corr_17: 6.26798068e-04 + sys_corr_18: 1.67885328e-02 + sys_corr_19: 1.02474890e-03 + sys_corr_20: -4.02401458e-03 + sys_corr_21: -1.85820185e-03 + sys_corr_22: 6.71972925e-03 + sys_corr_23: 4.04428176e-03 + sys_corr_24: -7.36130626e-03 + luminosity: 1.22647277e-01 +- stat_corr_1: 1.63714910e-02 + stat_corr_2: 2.24560688e-02 + stat_corr_3: 3.85984571e-02 + stat_corr_4: 4.71489640e-02 + stat_corr_5: 6.11432133e-02 + stat_corr_6: 7.69491260e-02 + stat_corr_7: -1.02077650e-01 + stat_corr_8: -1.65892588e-01 + stat_corr_9: -1.10704162e-02 + stat_corr_10: 1.69486381e-02 + stat_corr_11: -8.18052700e-02 + stat_corr_12: 1.40428670e-01 + sys_corr_1: 1.80111431e-02 + sys_corr_2: -2.07688445e-01 + sys_corr_3: -1.52767072e-02 + sys_corr_4: 1.88914427e-02 + sys_corr_5: -3.47105744e-02 + sys_corr_6: 2.70392421e-02 + sys_corr_7: 1.01466743e-02 + sys_corr_8: 3.53526825e-02 + sys_corr_9: 2.97453463e-02 + sys_corr_10: 1.21525626e-02 + sys_corr_11: -4.61868639e-03 + sys_corr_12: 2.30440469e-02 + sys_corr_13: 2.28824185e-02 + sys_corr_14: -2.15708794e-02 + sys_corr_15: -2.31269272e-02 + sys_corr_16: 8.06840838e-03 + sys_corr_17: -1.86018160e-02 + sys_corr_18: 8.75152948e-03 + sys_corr_19: 5.66044574e-03 + sys_corr_20: -7.12869770e-03 + sys_corr_21: -1.36035649e-03 + sys_corr_22: -4.78378872e-03 + sys_corr_23: 6.45650600e-03 + sys_corr_24: -1.27563821e-02 + luminosity: 6.56483950e-02 +- stat_corr_1: -5.09190191e-03 + stat_corr_2: -7.73385389e-03 + stat_corr_3: -1.33959887e-02 + stat_corr_4: -1.99877749e-02 + stat_corr_5: -2.52740727e-02 + stat_corr_6: -3.96347937e-02 + stat_corr_7: 5.62247340e-02 + stat_corr_8: 1.36445017e-01 + stat_corr_9: -3.96729358e-02 + stat_corr_10: -1.34677965e-01 + stat_corr_11: -1.22453708e-01 + stat_corr_12: -1.07183218e-02 + sys_corr_1: 3.79508645e-02 + sys_corr_2: 9.53373934e-02 + sys_corr_3: -3.04496484e-02 + sys_corr_4: 2.95344311e-02 + sys_corr_5: 3.58257546e-02 + sys_corr_6: 3.74498599e-02 + sys_corr_7: -4.18690096e-02 + sys_corr_8: -1.32069288e-02 + sys_corr_9: -1.38914429e-02 + sys_corr_10: -1.64789275e-03 + sys_corr_11: 1.29184029e-03 + sys_corr_12: 3.37563448e-03 + sys_corr_13: -3.21023895e-02 + sys_corr_14: 7.09376535e-03 + sys_corr_15: 2.22446865e-02 + sys_corr_16: -1.87091192e-02 + sys_corr_17: 2.39632614e-03 + sys_corr_18: -1.40481941e-02 + sys_corr_19: 2.68885179e-03 + sys_corr_20: -8.74350785e-03 + sys_corr_21: 3.09834094e-03 + sys_corr_22: -9.39078266e-03 + sys_corr_23: -3.86690681e-04 + sys_corr_24: -9.78310438e-03 + luminosity: 4.82795377e-02 +- stat_corr_1: 1.56541266e-03 + stat_corr_2: 2.41195123e-03 + stat_corr_3: 4.89079900e-03 + stat_corr_4: 6.98142456e-03 + stat_corr_5: 1.10360064e-02 + stat_corr_6: 1.65879315e-02 + stat_corr_7: -2.71290931e-02 + stat_corr_8: -7.99939228e-02 + stat_corr_9: -8.65333935e-02 + stat_corr_10: 1.29642741e-01 + stat_corr_11: -3.09527102e-02 + stat_corr_12: -1.16809724e-01 + sys_corr_1: 2.71043970e-02 + sys_corr_2: 1.22888701e-01 + sys_corr_3: -2.66659746e-02 + sys_corr_4: -8.80617683e-03 + sys_corr_5: 3.69043548e-02 + sys_corr_6: -2.82327741e-02 + sys_corr_7: 3.16732916e-02 + sys_corr_8: -1.34075267e-02 + sys_corr_9: 3.99708741e-02 + sys_corr_10: -1.35867082e-02 + sys_corr_11: -6.03660954e-03 + sys_corr_12: 1.12400707e-02 + sys_corr_13: -1.49975243e-02 + sys_corr_14: 4.82235501e-03 + sys_corr_15: -1.58549226e-03 + sys_corr_16: 2.29607089e-02 + sys_corr_17: -9.78087090e-03 + sys_corr_18: 1.54328650e-02 + sys_corr_19: -2.30100184e-02 + sys_corr_20: 1.13831273e-03 + sys_corr_21: 5.92786504e-03 + sys_corr_22: -1.37980970e-03 + sys_corr_23: 9.15346634e-03 + sys_corr_24: 2.51926344e-03 + luminosity: 3.30573455e-02 +- stat_corr_1: -4.46216505e-04 + stat_corr_2: -8.37739191e-04 + stat_corr_3: -1.31336568e-03 + stat_corr_4: -2.88237166e-03 + stat_corr_5: -3.07253334e-03 + stat_corr_6: -6.83259850e-03 + stat_corr_7: 1.00818524e-02 + stat_corr_8: 3.50691221e-02 + stat_corr_9: -9.13420793e-02 + stat_corr_10: -6.98971725e-02 + stat_corr_11: 9.29427786e-02 + stat_corr_12: 9.63887897e-02 + sys_corr_1: 1.25969860e-02 + sys_corr_2: -7.44453505e-02 + sys_corr_3: -1.23519727e-02 + sys_corr_4: 3.05594798e-02 + sys_corr_5: 4.23288501e-03 + sys_corr_6: 5.53584177e-02 + sys_corr_7: -1.78237637e-02 + sys_corr_8: 2.14954723e-03 + sys_corr_9: -2.36944947e-03 + sys_corr_10: 9.06793774e-03 + sys_corr_11: -2.34776386e-03 + sys_corr_12: -1.32577282e-02 + sys_corr_13: 7.38872501e-03 + sys_corr_14: -2.02143854e-02 + sys_corr_15: -1.47106213e-02 + sys_corr_16: -2.06075902e-02 + sys_corr_17: 8.53700441e-03 + sys_corr_18: 1.28114246e-02 + sys_corr_19: 2.05091531e-02 + sys_corr_20: -9.42631683e-03 + sys_corr_21: 6.42005656e-03 + sys_corr_22: 2.23141197e-04 + sys_corr_23: 3.21311857e-03 + sys_corr_24: 1.23486766e-02 + luminosity: 2.83857026e-02 diff --git a/nnpdf_data/nnpdf_data/commondata/LHCB_WPWM_5P02TEV_MUON/uncertainties_wp.yaml b/nnpdf_data/nnpdf_data/commondata/LHCB_WPWM_5P02TEV_MUON/uncertainties_wp.yaml new file mode 100644 index 0000000000..17b51081f7 --- /dev/null +++ b/nnpdf_data/nnpdf_data/commondata/LHCB_WPWM_5P02TEV_MUON/uncertainties_wp.yaml @@ -0,0 +1,594 @@ +definitions: + stat_corr_1: + description: Correlated statistical uncertainties + treatment: ADD + type: CORR + stat_corr_2: + description: Correlated statistical uncertainties + treatment: ADD + type: CORR + stat_corr_3: + description: Correlated statistical uncertainties + treatment: ADD + type: CORR + stat_corr_4: + description: Correlated statistical uncertainties + treatment: ADD + type: CORR + stat_corr_5: + description: Correlated statistical uncertainties + treatment: ADD + type: CORR + stat_corr_6: + description: Correlated statistical uncertainties + treatment: ADD + type: CORR + stat_corr_7: + description: Correlated statistical uncertainties + treatment: ADD + type: CORR + stat_corr_8: + description: Correlated statistical uncertainties + treatment: ADD + type: CORR + stat_corr_9: + description: Correlated statistical uncertainties + treatment: ADD + type: CORR + stat_corr_10: + description: Correlated statistical uncertainties + treatment: ADD + type: CORR + stat_corr_11: + description: Correlated statistical uncertainties + treatment: ADD + type: CORR + stat_corr_12: + description: Correlated statistical uncertainties + treatment: ADD + type: CORR + sys_corr_1: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_2: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_3: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_4: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_5: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_6: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_7: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_8: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_9: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_10: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_11: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_12: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_13: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_14: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_15: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_16: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_17: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_18: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_19: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_20: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_21: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_22: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_23: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + sys_corr_24: + description: Correlated systematic uncertainties + treatment: ADD + type: CORR + luminosity: + description: Luminosity uncertainty + treatment: MULT + type: LHCBLUMI5P02TEV +bins: +- stat_corr_1: 1.89594352e-03 + stat_corr_2: -2.21148638e-02 + stat_corr_3: 7.83554006e-02 + stat_corr_4: -8.69317421e-04 + stat_corr_5: -1.43430781e-03 + stat_corr_6: -3.83052219e-03 + stat_corr_7: 1.35871785e-01 + stat_corr_8: -9.44913423e-03 + stat_corr_9: 2.64005873e-01 + stat_corr_10: -1.38272854e-01 + stat_corr_11: 2.81187518e-01 + stat_corr_12: 4.54566056e-03 + sys_corr_1: 1.89539672e-01 + sys_corr_2: -3.29187043e-03 + sys_corr_3: 1.12898647e-01 + sys_corr_4: 2.42535969e-01 + sys_corr_5: -4.98378280e-03 + sys_corr_6: 6.47293543e-02 + sys_corr_7: 4.32858164e-02 + sys_corr_8: -8.73116125e-02 + sys_corr_9: 5.92630118e-02 + sys_corr_10: 1.60765755e-02 + sys_corr_11: -3.06932206e-02 + sys_corr_12: 9.58265639e-04 + sys_corr_13: 1.00012704e-03 + sys_corr_14: -7.46406072e-03 + sys_corr_15: -1.48098904e-03 + sys_corr_16: -3.58806722e-03 + sys_corr_17: -2.22292678e-03 + sys_corr_18: -7.18249915e-03 + sys_corr_19: -6.92008958e-04 + sys_corr_20: 5.54796242e-03 + sys_corr_21: -3.55121425e-04 + sys_corr_22: 7.48530877e-04 + sys_corr_23: -3.22834262e-03 + sys_corr_24: -4.64899091e-04 + luminosity: 2.38542757e-01 +- stat_corr_1: -1.26691639e-02 + stat_corr_2: 7.23220888e-02 + stat_corr_3: -1.98434842e-01 + stat_corr_4: -6.90533688e-04 + stat_corr_5: -1.15911761e-03 + stat_corr_6: -3.21036741e-03 + stat_corr_7: -2.24014785e-01 + stat_corr_8: -8.22749127e-03 + stat_corr_9: -1.42710273e-01 + stat_corr_10: -8.11841502e-02 + stat_corr_11: 1.88361785e-01 + stat_corr_12: 2.25080146e-01 + sys_corr_1: 1.86357737e-01 + sys_corr_2: -6.25256579e-02 + sys_corr_3: -1.53934847e-01 + sys_corr_4: -8.69974925e-02 + sys_corr_5: -4.77475544e-02 + sys_corr_6: -5.34429852e-02 + sys_corr_7: 3.28785482e-03 + sys_corr_8: 4.12780447e-02 + sys_corr_9: 5.32841682e-02 + sys_corr_10: 1.75888075e-02 + sys_corr_11: -2.38698324e-02 + sys_corr_12: -2.52939566e-02 + sys_corr_13: -1.81300296e-02 + sys_corr_14: -1.33336575e-02 + sys_corr_15: 2.23682006e-03 + sys_corr_16: -3.53989615e-02 + sys_corr_17: -1.37339231e-02 + sys_corr_18: 3.40960904e-03 + sys_corr_19: -1.31141777e-02 + 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