Namespace: Topreco

namespace topreco

Functions

ROOT::RDF::RNode LeptonSelection(ROOT::RDF::RNode df, const std::string &str_n_loose_mu, const std::string &str_n_loose_el, const std::string &str_n_tight_mu, const std::string &str_n_tight_el, const std::string &str_tight_muons_mask, const std::string &str_tight_electrons_mask, const std::string &str_n_antitight_mu, const std::string &str_n_antitight_el, const std::string &str_antitight_muons_mask, const std::string &str_antitight_electrons_mask, const std::string &str_mu_pt, const std::string &str_mu_eta, const std::string &str_mu_phi, const std::string &str_mu_mass, const std::string &str_mu_charge, const std::string &str_el_pt, const std::string &str_el_eta, const std::string &str_el_detasc, const std::string &str_el_phi, const std::string &str_el_mass, const std::string &str_el_charge, const std::string &str_n_loose_lep, const std::string &str_n_tight_lep, const std::string &str_n_antitight_lep, const std::string &str_is_mu, const std::string &str_is_el, const std::string &str_is_iso, const std::string &str_lep_p4, const std::string &str_lep_sceta, const std::string &str_lep_charge, const std::string &str_mu_index, const std::string &str_el_index)

Function to create columns for isolated and antiisolated leptons quantities, as used for a semileptonic top selection.

Parameters:

df – [in] The input dataframe.
str_n_loose_mu – [in] Name of the column containing the number of loose muons.
str_n_loose_el – [in] Name of the column containing the number of loose electrons.
str_n_tight_mu – [in] Name of the column containing the number of tight muons.
str_n_tight_el – [in] Name of the column containing the number of tight electrons.
str_tight_muons_mask – [in] Name of the column containing the mask for tight muons.
str_tight_electrons_mask – [in] Name of the column containing the mask for tight electrons.
str_n_antitight_mu – [in] Name of the column containing the number of antitight muons.
str_n_antitight_el – [in] Name of the column containing the number of antitight electrons.
str_antitight_muons_mask – [in] Name of the column containing the mask for antitight muons.
str_antitight_electrons_mask – [in] Name of the column containing the mask for antitight electrons.
str_mu_pt – [in] Name of the column for the muon pT in nanoAOD.
str_mu_eta – [in] Name of the column for the muon eta in nanoAOD.
str_mu_phi – [in] Name of the column for the muon phi in nanoAOD.
str_mu_mass – [in] Name of the column for the muon mass in nanoAOD.
str_mu_charge – [in] Name of the column for the muon charge in nanoAOD.
str_el_pt – [in] Name of the column for the electron pT in nanoAOD.
str_el_eta – [in] Name of the column for the electron eta in nanoAOD.
str_el_detasc – [in] Name of the column for the electron delta eta eta_sc in nanoAOD.
str_el_phi – [in] Name of the column for the electron phi in nanoAOD.
str_el_mass – [in] Name of the column for the electron mass in nanoAOD.
str_el_charge – [in] Name of the column for the electron charge in nanoAOD.
str_n_loose_lep – [out] Name of the output column for the number of loose leptons.
str_n_tight_lep – [out] Name of the output column for the number of tight leptons.
str_n_antitight_lep – [out] Name of the output column for the number of antitight leptons.
str_is_mu – [out] Name of the output column for a muon flag (tight and antitight).
str_is_el – [out] Name of the output column for an electron flag (tight and antitight).
str_is_iso – [out] Name of the output column for an isolation flag (muon and electron).
str_lep_p4 – [out] Name of the output column for the lepton four-momenta.
str_lep_sceta – [out] Name of the output column for the lepton supercluster eta.
str_lep_charge – [out] Name of the output column for the lepton charge.
str_mu_index – [out] Name of the output column for the muon index with respect to the nanoAOD input branches.
str_el_index – [out] Name of the output column for the electron index with respect to the nanoAOD input branches.

Returns:

A dataframe containing the new columns.

double rad_py(double x, double lep_px)

double min_fplus(double *par)

double min_fminus(double *par)

void fcn_plus(Int_t &npar, Double_t *gin, Double_t &f, Double_t *par, Int_t iflag)

void fcn_minus(Int_t &npar, Double_t *gin, Double_t &f, Double_t *par, Int_t iflag)

ROOT::RDF::RNode ReconstructLeptonicW(ROOT::RDF::RNode df, const std::string &str_lep_p4, const std::string &str_met_p4, const std::string &str_wlep_p4)

Function to reconstruct a leptonic W boson based on mass constraints and a numerical quadratic equation solver.

Parameters:

df – [in] The input dataframe.
str_lep_p4 – [in] Name of the column containing the lepton four-momenta.
str_met_p4 – [in] Name of the column containing the missing transverse momentum four-momenta.
str_wlep_p4 – [out] Name of the output column for reconstructed W boson four-momenta.

Returns:

A dataframe containing the new columns.

ROOT::RDF::RNode JetSelection(ROOT::RDF::RNode df, const int &njets, const int &nbjets, const std::string &str_good_jets_mask, const std::string &str_good_bjets_mask)

Selects events with a given number of jets and b-jets.

Parameters:

df – [in] The input dataframe.
njets – [in] The number of jets to select.
nbjets – [in] The number of b-jets to select.
str_good_jets_mask – [in] The name of the column containing the mask for good jets.
str_good_bjets_mask – [in] The name of the column containing the mask for good b-jets.

Returns:

A new dataframe containing the selected events.

ROOT::RDF::RNode TopReco(ROOT::RDF::RNode df, const std::string &str_wlep_p4, const std::string &str_n_nonbjets, const std::string &str_nonbjet_p4_1, const std::string &str_nonbjet_btag_1, const std::string &str_nonbjet_p4_2, const std::string &str_nonbjet_btag_2, const std::string &str_n_bjets, const std::string &str_bjet_p4_1, const std::string &str_bjet_btag_1, const std::string &str_bjet_p4_2, const std::string &str_bjet_btag_2, const std::string &str_is_reco, const std::string &str_is_jjb, const std::string &str_is_jjbb, const std::string &str_is_jjjb, const std::string &str_is_jjjbb, const std::string &str_reco_p4s, const std::string &str_top_p4, const std::string &str_tb_p4, const std::string &str_sb_p4)

Function to reconstruct a leptonic top quark from a b jet and a W boson based on the number of jets and b jets in the event.

Parameters:

df – [in] The input dataframe.
str_wlep_p4 – [in] Name of the column containing the W boson four-momenta.
str_n_nonbjets – [in] Name of the column containing the number of untagged jets in the event.
str_nonbjet_p4_1 – [in] Name of the column containing the hardest untagged jet four-momenta.
str_nonbjet_btag_1 – [in] Name of the column containing the hardest untagged jet b tagging score.
str_nonbjet_p4_2 – [in] Name of the column containing the second hardest untagged jet four-momenta.
str_nonbjet_btag_2 – [in] Name of the column containing the second hardest untagged jet b tagging score.
str_n_bjets – [in] Name of the column containing the number of b-tagged jets in the event.
str_bjet_p4_1 – [in] Name of the column containing the hardest b-tagged jet four-momenta.
str_bjet_btag_1 – [in] Name of the column containing the hardest b-tagged jet b tagging score.
str_bjet_p4_2 – [in] Name of the column containing the second hardest b-tagged jet four-momenta.
str_bjet_btag_2 – [in] Name of the column containing the second hardest b-tagged jet b tagging score.
str_is_reco – [out] Name of the output column for the flag if the top quark is reconstructable.
str_is_jjb – [out] Name of the output column for the flag if the event falls into the 2j1b category.
str_is_jjbb – [out] Name of the output column for the flag if the event falls into the 2j2b category.
str_is_jjjb – [out] Name of the output column for the flag if the event falls into the 3j1b category.
str_is_jjjbb – [out] Name of the output column for the flag if the event falls into the 3j2b category.
str_reco_p4s – [out] Name of the output column for the vector of reconstructed particles four-momenta.
str_top_p4 – [out] Name of the output column for the reconstructed top quark four-momenta.
str_tb_p4 – [out] Name of the output column for the reconstructed b quark (top quark decay) four-momenta.
str_sb_p4 – [out] Name of the output column for the reconstructed b quark (top quark production) four-momenta.

Returns:

A dataframe containing the new columns.

ROOT::RDF::RNode DNNQuantities(ROOT::RDF::RNode df, const std::string &str_is_reco, const std::string &str_lep_p4, const std::string &str_met_p4, const std::string &str_wlep_p4, const std::string &str_nonbjet_p4_1, const std::string &str_nonbjet_btag_1, const std::string &str_nonbjet_p4_2, const std::string &str_nonbjet_btag_2, const std::string &str_bjet_p4_1, const std::string &str_bjet_btag_1, const std::string &str_bjet_p4_2, const std::string &str_bjet_btag_2, const std::string &str_top_p4, const std::string &str_tb_p4, const std::string &str_sb_p4, const std::string &str_good_jetslowpt_mask, const std::string &str_jet_pt, const std::string &str_jet_eta, const std::string &str_jet_phi, const std::string &str_jet_mass, const std::string &str_dphi_top_b1, const std::string &str_deta_top_sb, const std::string &str_dphi_b1_b2, const std::string &str_deta_lep_b1, const std::string &str_m_lep_b2, const std::string &str_pt_b1_b2, const std::string &str_costhetastar, const std::string &str_sumht, const std::string &str_wolfram, const std::string &str_deta_topb2_b1)

Function to create additional variables useful in a DNN training

Parameters:

df – [in] The input dataframe.
str_is_reco – [in] The name of the column containing the flag if a top quark was reconstructed.
str_lep_p4 – [in] The name of the column containing the lepton four-momenta.
str_met_p4 – [in] The name of the column containing the missing transverse momentum four-momenta.
str_wlep_p4 – [in] The name of the column containing the W boson four-momenta.
str_nonbjet_p4_1 – [in] The name of the column containing the hardest untagged jet four-momenta.
str_nonbjet_btag_1 – [in] The name of the column containing the hardest untagged jet b tagging score.
str_nonbjet_p4_2 – [in] The name of the column containing the second hardest untagged jet four-momenta.
str_nonbjet_btag_2 – [in] The name of the column containing the second hardest untagged jet b tagging score.
str_bjet_p4_1 – [in] The name of the column containing the hardest b-tagged jet four-momenta.
str_bjet_btag_1 – [in] The name of the column containing the hardest b-tagged jet b tagging score.
str_bjet_p4_2 – [in] The name of the column containing the second hardest b-tagged jet four-momenta.
str_bjet_btag_2 – [in] The name of the column containing the second hardest b-tagged jet b tagging score.
str_top_p4 – [in] The name of the column containing the reconstructed top quark four-momenta.
str_tb_p4 – [in] The name of the column containing the reconstructed b quark (top quark decay) four-momenta.
str_sb_p4 – [in] The name of the column containing the reconstructed b quark (top quark production) four-momenta.
str_good_jetslowpt_mask – [in] The name of the column containing the mask for low pT jets.
str_jet_pt – [in] The name of the column for the jet pT.
str_jet_eta – [in] The name of the column for the jet eta.
str_jet_phi – [in] The name of the column for the jet phi.
str_jet_mass – [in] The name of the column for the jet mass.
str_dphi_top_b1 – [out] The name of the output column for the delta phi between the reconstructed top quark and the hardest b jet.
str_deta_top_sb – [out] The name of the output column for the delta eta between the reconstructed top quark and the jet assigned to b quark of the top quark decay.
str_dphi_b1_b2 – [out] The name of the output column for the delta phi between the two b jets.
str_deta_lep_b1 – [out] The name of the output column for the delta eta between the lepton and the hardest b jet.
str_m_lep_b2 – [out] The name of the output column for the invariant mass of the lepton and the second hardest b jet.
str_pt_b1_b2 – [out] The name of the output column for the transverse momentum of the two combined b jets.
str_costhetastar – [out] The name of the output column for the polarization angle.
str_sumht – [out] The name of the output column for the sum of Ht.
str_wolfram – [out] The name of the output column for the third Fox-Wolfram moment.
str_deta_topb2_b1 – [out] The name of the output column for the delta eta between the top quark reconstructed from the second hardest b jet and the hardest b jet.

Returns:

A dataframe containing the new columns.

void sf_from_root_file(TH2D *h, int nbinsx, int nbinsy, float pt, float eta, int var, double *sf)

ROOT::RDF::RNode LeptonScaleFactors(ROOT::RDF::RNode df, const std::string &str_lep_pt, const std::string &str_lep_eta, const std::string &str_lep_sceta, const std::string &str_lep_is_mu, const std::string &str_lep_is_el, const std::string &str_lep_is_iso, const std::string &str_lep_sf_mu_trigger_nom, const std::string &str_lep_sf_mu_trigger_up, const std::string &str_lep_sf_mu_trigger_down, const std::string &str_lep_sf_mu_iso_nom, const std::string &str_lep_sf_mu_iso_up, const std::string &str_lep_sf_mu_iso_down, const std::string &str_lep_sf_mu_id_nom, const std::string &str_lep_sf_mu_id_up, const std::string &str_lep_sf_mu_id_down, const std::string &str_lep_sf_el_trigger_nom, const std::string &str_lep_sf_el_trigger_up, const std::string &str_lep_sf_el_trigger_down, const std::string &str_lep_sf_el_id_nom, const std::string &str_lep_sf_el_id_up, const std::string &str_lep_sf_el_id_down, const std::string &str_lep_sf_el_reco_nom, const std::string &str_lep_sf_el_reco_up, const std::string &str_lep_sf_el_reco_down, const std::string &mu_sf_era, const std::string &mu_trigger_sf_file, const std::string &mu_trigger_sf_file_syst, const std::string &mu_trigger_sf_name, const std::string &mu_trigger_sf_name_syst, const std::string &mu_iso_sf_file, const std::string &mu_iso_sf_file_syst, const std::string &mu_iso_sf_name, const std::string &mu_iso_sf_name_syst, const std::string &mu_sf_file, const std::string &mu_id_sf_name, const std::string &el_sf_era, const std::string &el_trigger_sf_file, const std::string &el_trigger_sf_file_syst, const std::string &el_trigger_sf_name, const std::string &el_trigger_sf_name_syst, const std::string &el_sf_file, const std::string &el_id_sf_name)

Function to add columns for various different lepton scale factors

Parameters:

df – [in] the input dataframe
str_lep_pt – [in] name of the column containing the lepton pT
str_lep_eta – [in] name of the column containing the lepton eta
str_lep_sceta – [in] name of the column containing the lepton supercluster (electrons only)
str_lep_is_mu – [in] name of the column containing the flag if the event contains a muon
str_lep_is_el – [in] name of the column containing the flag if the event contains an electron
str_lep_is_iso – [in] name of the column containing the flag if the event is (anti-)isolated
str_lep_sf_mu_trigger_nom – [out] name of the output column for the nominal muon trigger scale factor
str_lep_sf_mu_trigger_up – [out] name of the output column for the up-shifted muon trigger scale factor
str_lep_sf_mu_trigger_down – [out] name of the output column for the down-shifted muon trigger scale factor
str_lep_sf_mu_iso_nom – [out] name of the output column for the nominal muon isolation scale factor
str_lep_sf_mu_iso_up – [out] name of the output column for the up-shifted muon isolation scale factor
str_lep_sf_mu_iso_down – [out] name of the output column for the down-shifted muon isolation scale factor
str_lep_sf_mu_id_nom – [out] name of the output column for the nominal muon ID scale factor
str_lep_sf_mu_id_up – [out] name of the output column for the up-shifted muon ID scale factor
str_lep_sf_mu_id_down – [out] name of the output column for the down-shifted muon ID scale factor
str_lep_sf_el_trigger_nom – [out] name of the output column for the nominal electron trigger scale factor
str_lep_sf_el_trigger_up – [out] name of the output column for the up-shifted electron trigger scale factor
str_lep_sf_el_trigger_down – [out] name of the output column for the down-shifted electron trigger scale factor
str_lep_sf_el_id_nom – [out] name of the output column for the nominal electron ID scale factor
str_lep_sf_el_id_up – [out] name of the output column for the up-shifted electron ID scale factor
str_lep_sf_el_id_down – [out] name of the output column for the down-shifted electron ID scale factor
str_lep_sf_el_reco_nom – [out] name of the output column for the nominal electron reconstruction scale factor
str_lep_sf_el_reco_up – [out] name of the output column for the up-shifted electron reconstruction scale factor
str_lep_sf_el_reco_down – [out] name of the output column for the down-shifted electron reconstruction scale factor
mu_sf_era – [in] name tag for the muon scale factors
mu_trigger_sf_file – [in] file name for the nominal muon trigger scale factor file
mu_trigger_sf_file_syst – [in] file name for the shifted muon trigger scale factor file
mu_trigger_sf_name – [in] name of the nominal muon trigger scale factor in the JSON file
mu_trigger_sf_name_syst – [in] name of the shifted muon trigger scale factor in the JSON file
mu_iso_sf_file – [in] file name for the nominal muon isolation scale factor file
mu_iso_sf_file_syst – [in] file name for the shifted muon isolation scale factor file
mu_iso_sf_name – [in] name of the nominal muon isolation scale factor in the JSON file
mu_iso_sf_name_syst – [in] name of the shifted muon isolation scale factor in the JSON file
mu_sf_file – [in] file name for the MUO POG correction lib file
mu_id_sf_name – [in] name of the muon ID scale factors
el_sf_era – [in] name tag for the electron scale factors
el_trigger_sf_file – [in] file name for the nominal electron trigger scale factor file
el_trigger_sf_file_syst – [in] file name for the shifted electron trigger scale factor file
el_trigger_sf_name – [in] name of the nominal electron trigger scale factor in the JSON file
el_trigger_sf_name_syst – [in] name of the shifted electron trigger scale factor in the JSON file
el_sf_file – [in] file name for the EGM POG correction lib file
el_id_sf_name – [in] name of the electron ID scale factors

Returns:

a dataframe containing the new columns

ROOT::RDF::RNode BTagScaleFactors(ROOT::RDF::RNode df, const std::string &str_is_iso, const std::string &str_is_reco, const std::string &str_is_jjb, const std::string &str_is_jjbb, const std::string &str_is_jjjb, const std::string &str_is_jjjbb, const std::string &str_nonbjet_pt_1, const std::string &str_nonbjet_eta_1, const std::string &str_nonbjet_btag_1, const std::string &str_nonbjet_flavor_1, const std::string &str_nonbjet_pt_2, const std::string &str_nonbjet_eta_2, const std::string &str_nonbjet_btag_2, const std::string &str_nonbjet_flavor_2, const std::string &str_bjet_pt_1, const std::string &str_bjet_eta_1, const std::string &str_bjet_btag_1, const std::string &str_bjet_flavor_1, const std::string &str_bjet_pt_2, const std::string &str_bjet_eta_2, const std::string &str_bjet_btag_2, const std::string &str_bjet_flavor_2, const std::string &str_btag_sf_vec, const std::string &str_btagw_nom, const std::string &str_btagw_HFup_corr, const std::string &str_btagw_HFup_uncorr, const std::string &str_btagw_HFdown_corr, const std::string &str_btagw_HFdown_uncorr, const std::string &str_btagw_LFup_corr, const std::string &str_btagw_LFup_uncorr, const std::string &str_btagw_LFdown_corr, const std::string &str_btagw_LFdown_uncorr, const std::string &btag_sf_file, const std::string &btag_corr_algo_HF, const std::string &btag_corr_algo_LF, const std::string &btag_eff_file, const std::string &btag_eff_type, const std::string &btag_wp, const float &max_bjet_eta_sf)

Function to add columns for fixedWP b tagging scale factors based on the event category

Parameters:

df – [in] The input dataframe
str_is_iso – [in] Name of the column containing the lepton isolation category
str_is_reco – [in] Name of the column containing the flag if the event is reconstructable
str_is_jjb – [in] Name of the column containing the flag if the event falls into the 2j1b category
str_is_jjbb – [in] Name of the column containing the flag if the event falls into the 2j2b category
str_is_jjjb – [in] Name of the column containing the flag if the event falls into the 3j1b category
str_is_jjjbb – [in] Name of the column containing the flag if the event falls into the 3j2b category
str_nonbjet_pt_1 – [in] Name of the column containing the hardest untagged jet pT
str_nonbjet_eta_1 – [in] Name of the column containing the hardest untagged jet eta
str_nonbjet_btag_1 – [in] Name of the column containing the hardest untagged jet b tagging value
str_nonbjet_flavor_1 – [in] Name of the column containing the hardest untagged jet hadron falvor
str_nonbjet_pt_2 – [in] Name of the column containing the second hardest untagged jet pT
str_nonbjet_eta_2 – [in] Name of the column containing the second hardest untagged jet eta
str_nonbjet_btag_2 – [in] Name of the column containing the second hardest untagged jet b tagging value
str_nonbjet_flavor_2 – [in] Name of the column containing the second hardest untagged jet hadron falvor
str_bjet_pt_1 – [in] Name of the column containing the hardest b-tagged jet pT
str_bjet_eta_1 – [in] Name of the column containing the hardest b-tagged jet eta
str_bjet_btag_1 – [in] Name of the column containing the hardest b-tagged jet b tagging value
str_bjet_flavor_1 – [in] Name of the column containing the hardest b-tagged jet hadron falvor
str_bjet_pt_2 – [in] Name of the column containing the second hardest b-tagged jet pT
str_bjet_eta_2 – [in] Name of the column containing the second hardest b-tagged jet eta
str_bjet_btag_2 – [in] Name of the column containing the second hardest b-tagged jet b tagging value
str_bjet_flavor_2 – [in] Name of the column containing the second hardest b-tagged jet hadron falvor
str_btag_sf_vec – [out] Name of the output column for the vector containing all scale factor variations
str_btagw_nom – [out] Name of the output column for the nominal scale factor
str_btagw_HFup_corr – [out] Name of the output column for the HF up-shifted scale factor, correlated fraction among the years
str_btagw_HFup_uncorr – [out] Name of the output column for the HF up-shifted scale factor, uncorrelated fraction among the years
str_btagw_HFdown_corr – [out] Name of the output column for the HF down-shifted scale factor, correlated fraction among the years
str_btagw_HFdown_uncorr – [out] Name of the output column for the HF down-shifted scale factor, uncorrelated fraction among the years
str_btagw_LFup_corr – [out] Name of the output column for the LF up-shifted scale factor, correlated fraction among the years
str_btagw_LFup_uncorr – [out] Name of the output column for the LF up-shifted scale factor, uncorrelated fraction among the years
str_btagw_LFdown_corr – [out] Name of the output column for the LF down-shifted scale factor, correlated fraction among the years
str_btagw_LFdown_uncorr – [out] Name of the output column for the LF down-shifted scale factor, uncorrelated fraction among the years
btag_sf_file – [in] File name for the BTV POG correction lib file
btag_corr_algo_HF – [in] Name of the scale factor method for HF jets
btag_corr_algo_LF – [in] Name of the scale factor method for LF jets
btag_eff_file – [in] File name for the b tagging efficiency maps
btag_eff_type – [in] Type of process for the efficiency map
btag_wp – [in] B tagging working point
max_bjet_eta_sf – [in] Maximum abs eta for b jets

Returns:

A dataframe containing the new columns

ROOT::RDF::RNode BTagScaleFactorsGeneric(ROOT::RDF::RNode df, const std::string &str_jet_pt, const std::string &str_jet_eta, const std::string &str_jet_btag, const std::string &str_jet_flavor, const std::string &str_jet_collection, const std::string &str_btag_sf_vec, const std::string &str_btagw_nom, const std::string &str_btagw_HFup_corr, const std::string &str_btagw_HFup_uncorr, const std::string &str_btagw_HFdown_corr, const std::string &str_btagw_HFdown_uncorr, const std::string &str_btagw_LFup_corr, const std::string &str_btagw_LFup_uncorr, const std::string &str_btagw_LFdown_corr, const std::string &str_btagw_LFdown_uncorr, const std::string &btag_sf_file, const std::string &btag_corr_algo_HF, const std::string &btag_corr_algo_LF, const std::string &btag_eff_file, const std::string &btag_eff_type, const std::string &btag_wp, const float &btag_cut, const float &max_bjet_eta_sf)

Function to add columns for fixedWP b tagging scale factors based on a variable number of jets and b-tagged jets.

Parameters:

df – [in] The input dataframe.
str_jet_pt – [in] Name of the column containing the vector of jet pT.
str_jet_eta – [in] Name of the column containing the vector of jet eta.
str_jet_btag – [in] Name of the column containing the vector of jet b tagging value.
str_jet_flavor – [in] Name of the column containing the vector of jet hadron flavor.
str_jet_collection – [in] Name of the column containing the jet collection.
str_btag_sf_vec – [out] Name of the output column for the vector containing all scale factor variations.
str_btagw_nom – [out] Name of the output column for the nominal scale factor.
str_btagw_HFup_corr – [out] Name of the output column for the HF up-shifted scale factor, correlated fraction among the years.
str_btagw_HFup_uncorr – [out] Name of the output column for the HF up-shifted scale factor, uncorrelated fraction among the years.
str_btagw_HFdown_corr – [out] Name of the output column for the HF down-shifted scale factor, correlated fraction among the years.
str_btagw_HFdown_uncorr – [out] Name of the output column for the HF down-shifted scale factor, uncorrelated fraction among the years.
str_btagw_LFup_corr – [out] Name of the output column for the LF up-shifted scale factor, correlated fraction among the years.
str_btagw_LFup_uncorr – [out] Name of the output column for the LF up-shifted scale factor, uncorrelated fraction among the years.
str_btagw_LFdown_corr – [out] Name of the output column for the LF down-shifted scale factor, correlated fraction among the years.
str_btagw_LFdown_uncorr – [out] Name of the output column for the LF down-shifted scale factor, uncorrelated fraction among the years.
btag_sf_file – [in] File name for the BTV POG correction lib file.
btag_corr_algo_HF – [in] Name of the scale factor method for HF jets.
btag_corr_algo_LF – [in] Name of the scale factor method for LF jets.
btag_eff_file – [in] File name for the b tagging efficiency maps.
btag_eff_type – [in] Type of process for the efficiency map.
btag_wp – [in] B tagging working point name.
btag_cut – [in] B tagging cut value.
max_bjet_eta_sf – [in] Maximum abs eta for b jets.

Returns:

A dataframe containing the new columns.