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doublemuon_controlregion.py
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from __future__ import annotations # needed for type annotations in > python 3.7
from typing import List
from .producers import event as event
from .producers import genparticles as genparticles
from .producers import muons as muons
from .producers import pairquantities as pairquantities
from .producers import pairselection as pairselection
from .producers import triggers as triggers
from .producers import scalefactors as scalefactors
from .producers import tagandprobe as tagandprobe
from .producers import embedding as embedding
from .producers import electrons as electrons
from .quantities import nanoAOD as nanoAOD
from .quantities import output as q
from .quantities import tagandprobe_output as qt
from code_generation.configuration import Configuration
from code_generation.modifiers import EraModifier
from code_generation.rules import RemoveProducer, AppendProducer, ReplaceProducer
from code_generation.systematics import SystematicShift
from .tau_triggersetup import add_diTauTriggerSetup
from .producers import met as met
from code_generation.modifiers import EraModifier, SampleModifier
from .producers import jets as jets
# from .btag_variations import add_btagVariations
from .tau_embedding_settings import setup_embedding
def build_config(
era: str,
sample: str,
scopes: List[str],
shifts: List[str],
available_sample_types: List[str],
available_eras: List[str],
available_scopes: List[str],
):
configuration = Configuration(
era,
sample,
scopes,
shifts,
available_sample_types,
available_eras,
available_scopes,
)
configuration.add_config_parameters(
"global",
{
"PU_reweighting_file": EraModifier(
{
"2016preVFP": "data/jsonpog-integration/POG/LUM/2016preVFP_UL/puWeights.json.gz",
"2016postVFP": "data/jsonpog-integration/POG/LUM/2016postVFP_UL/puWeights.json.gz",
"2017": "data/jsonpog-integration/POG/LUM/2017_UL/puWeights.json.gz",
"2018": "data/jsonpog-integration/POG/LUM/2018_UL/puWeights.json.gz",
}
),
"PU_reweighting_era": EraModifier(
{
"2016preVFP": "Collisions16_UltraLegacy_goldenJSON",
"2016postVFP": "Collisions16_UltraLegacy_goldenJSON",
"2017": "Collisions17_UltraLegacy_goldenJSON",
"2018": "Collisions18_UltraLegacy_goldenJSON",
}
),
"PU_reweighting_variation": "nominal",
"golden_json_file": EraModifier(
{
"2016preVFP": "data/golden_json/Cert_271036-284044_13TeV_Legacy2016_Collisions16_JSON.txt",
"2016postVFP": "data/golden_json/Cert_271036-284044_13TeV_Legacy2016_Collisions16_JSON.txt",
"2017": "data/golden_json/Cert_294927-306462_13TeV_UL2017_Collisions17_GoldenJSON.txt",
"2018": "data/golden_json/Cert_314472-325175_13TeV_Legacy2018_Collisions18_JSON.txt",
}
),
"met_filters": EraModifier(
{
"2016preVFP": [
"Flag_goodVertices",
"Flag_globalSuperTightHalo2016Filter",
"Flag_HBHENoiseFilter",
"Flag_HBHENoiseIsoFilter",
"Flag_EcalDeadCellTriggerPrimitiveFilter",
"Flag_BadPFMuonFilter",
"Flag_eeBadScFilter",
],
"2016postVFP": [
"Flag_goodVertices",
"Flag_globalSuperTightHalo2016Filter",
"Flag_HBHENoiseFilter",
"Flag_HBHENoiseIsoFilter",
"Flag_EcalDeadCellTriggerPrimitiveFilter",
"Flag_BadPFMuonFilter",
"Flag_eeBadScFilter",
],
"2017": [
"Flag_goodVertices",
"Flag_globalSuperTightHalo2016Filter",
"Flag_HBHENoiseFilter",
"Flag_HBHENoiseIsoFilter",
"Flag_EcalDeadCellTriggerPrimitiveFilter",
"Flag_BadPFMuonFilter",
"Flag_eeBadScFilter",
"Flag_ecalBadCalibFilter",
],
"2018": [
"Flag_goodVertices",
"Flag_globalSuperTightHalo2016Filter",
"Flag_HBHENoiseFilter",
"Flag_HBHENoiseIsoFilter",
"Flag_EcalDeadCellTriggerPrimitiveFilter",
"Flag_BadPFMuonFilter",
"Flag_eeBadScFilter",
"Flag_ecalBadCalibFilter",
],
}
),
},
)
configuration.add_config_parameters(
scopes,
{
"propagateLeptons": SampleModifier(
{"data": False},
default=True,
),
"propagateJets": SampleModifier(
{"data": False},
default=True,
),
"recoil_corrections_file": EraModifier(
{
"2016preVFP": "data/recoil_corrections/Type1_PuppiMET_2016.root", # These are likely from Legacy data sets, therefore no difference in pre and postVFP
"2016postVFP": "data/recoil_corrections/Type1_PuppiMET_2016.root", # These are likely from Legacy data sets, therefore no difference in pre and postVFP
"2017": "data/recoil_corrections/Type1_PuppiMET_2017.root",
"2018": "data/recoil_corrections/Type1_PuppiMET_2018.root",
}
),
"recoil_systematics_file": EraModifier(
{
"2016preVFP": "data/recoil_corrections/PuppiMETSys_2016.root", # These are likely from Legacy data sets, therefore no difference in pre and postVFP
"2016postVFP": "data/recoil_corrections/PuppiMETSys_2016.root", # These are likely from Legacy data sets, therefore no difference in pre and postVFP
"2017": "data/recoil_corrections/PuppiMETSys_2017.root",
"2018": "data/recoil_corrections/PuppiMETSys_2018.root",
}
),
"applyRecoilCorrections": SampleModifier(
{
"wjets": False,
"dyjets": False,
"electroweak_boson": False,
"ggh_htautau": False,
"vbf_htautau": False,
"rem_htautau": False,
"ggh_hww": False,
"vbf_hww": False,
"rem_VH": False,
},
default=False,
),
"apply_recoil_resolution_systematic": False,
"apply_recoil_response_systematic": False,
"recoil_systematic_shift_up": False,
"recoil_systematic_shift_down": False,
"min_jetpt_met_propagation": 15,
},
)
# jet base selection:
configuration.add_config_parameters(
"global",
{
"min_jet_pt": 30,
"max_jet_eta": 4.7,
"jet_id": 2, # default: 2==pass tight ID and fail tightLepVeto
"jet_puid": EraModifier(
{
"2016preVFP": 1, # 0==fail, 1==pass(loose), 3==pass(loose,medium), 7==pass(loose,medium,tight)
"2016postVFP": 1, # 0==fail, 1==pass(loose), 3==pass(loose,medium), 7==pass(loose,medium,tight)
"2017": 4, # 0==fail, 4==pass(loose), 6==pass(loose,medium), 7==pass(loose,medium,tight)
"2018": 4, # 0==fail, 4==pass(loose), 6==pass(loose,medium), 7==pass(loose,medium,tight)
}
),
"jet_puid_max_pt": 50, # recommended to apply puID only for jets below 50 GeV
"jet_reapplyJES": False,
"jet_jes_sources": '{""}',
"jet_jes_shift": 0,
"jet_jer_shift": '"nom"', # or '"up"', '"down"'
"jet_jec_file": EraModifier(
{
"2016preVFP": '"data/jsonpog-integration/POG/JME/2016preVFP_UL/jet_jerc.json.gz"',
"2016postVFP": '"data/jsonpog-integration/POG/JME/2016postVFP_UL/jet_jerc.json.gz"',
"2017": '"data/jsonpog-integration/POG/JME/2017_UL/jet_jerc.json.gz"',
"2018": '"data/jsonpog-integration/POG/JME/2018_UL/jet_jerc.json.gz"',
}
),
"jet_jer_tag": EraModifier(
{
"2016preVFP": '"Summer20UL16APV_JRV3_MC"',
"2016postVFP": '"Summer20UL16_JRV3_MC"',
"2017": '"Summer19UL17_JRV2_MC"',
"2018": '"Summer19UL18_JRV2_MC"',
}
),
"jet_jes_tag_data": '""',
"jet_jes_tag": EraModifier(
{
"2016preVFP": '"Summer19UL16APV_V7_MC"',
"2016postVFP": '"Summer19UL16_V7_MC"',
"2017": '"Summer19UL17_V5_MC"',
"2018": '"Summer19UL18_V5_MC"',
}
),
"jet_jec_algo": '"AK4PFchs"',
},
)
configuration.add_config_parameters(
scopes,
{
"ggHNNLOweightsRootfile": "data/htxs/NNLOPS_reweight.root",
"ggH_generator": "powheg",
"zptmass_file": EraModifier(
{
"2016preVFP": "data/zpt/htt_scalefactors_legacy_2016.root", # ToDO: Measured in legacy, therefore the same for pre- and postVFP for now
"2016postVFP": "data/zpt/htt_scalefactors_legacy_2016.root", # ToDO: Measured in legacy, therefore the same for pre- and postVFP for now
"2017": "data/zpt/htt_scalefactors_legacy_2017.root",
"2018": "data/zpt/htt_scalefactors_legacy_2018.root",
}
),
"zptmass_functor": "zptmass_weight_nom",
"zptmass_arguments": "z_gen_mass,z_gen_pt",
},
)
# muon base selection:
configuration.add_config_parameters(
"global",
{
"min_muon_pt": 10.0,
"max_muon_eta": 2.4,
"max_muon_dxy": 0.045,
"max_muon_dz": 0.2,
"muon_id": "Muon_mediumId",
"muon_iso_cut": 0.3,
},
)
# MuMu scope Muon selection
configuration.add_config_parameters(
["mm"],
{
"min_muon_pt": 10.0,
"max_muon_eta": 2.1,
"muon_iso_cut": 0.15,
"second_muon_index_in_pair": 1,
"muon_index_in_pair": 0,
},
)
# add embedding selection scalefactors
configuration.add_config_parameters(
scopes,
{
"embedding_selection_sf_file": EraModifier(
{
"2016preVFP": "data/embedding/embeddingselection_2016preVFPUL.json.gz",
"2016postVFP": "data/embedding/embeddingselection_2016postVFPUL.json.gz",
"2017": "data/embedding/embeddingselection_2017UL.json.gz",
"2018": "data/embedding/embeddingselection_2018UL.json.gz",
}
),
"embedding_selection_trigger_sf": "m_sel_trg_kit_ratio",
"embedding_selection_id_sf": "EmbID_pt_eta_bins",
},
)
# muon trigger SF settings from embedding measurements
configuration.add_config_parameters(
["mm"],
{
"singlemuon_trigger_sf_mc": EraModifier(
{
"2018": [
{
"flagname": "trg_wgt_single_mu24",
"mc_trigger_sf": "Trg_IsoMu24_pt_eta_bins",
"mc_muon_trg_extrapolation": 1.0, # for nominal case
},
{
"flagname": "trg_wgt_single_mu27",
"mc_trigger_sf": "Trg_IsoMu27_pt_eta_bins",
"mc_muon_trg_extrapolation": 1.0, # for nominal case
},
{
"flagname": "trg_wgt_single_mu24ormu27",
"mc_trigger_sf": "Trg_IsoMu27_or_IsoMu24_pt_eta_bins",
"mc_muon_trg_extrapolation": 1.0, # for nominal case
},
],
"2017": [
{
"flagname": "trg_wgt_single_mu24",
"mc_trigger_sf": "Trg_IsoMu24_pt_eta_bins",
"mc_muon_trg_extrapolation": 1.0, # for nominal case
},
{
"flagname": "trg_wgt_single_mu27",
"mc_trigger_sf": "Trg_IsoMu27_pt_eta_bins",
"mc_muon_trg_extrapolation": 1.0, # for nominal case
},
{
"flagname": "trg_wgt_single_mu24ormu27",
"mc_trigger_sf": "Trg_IsoMu27_or_IsoMu24_pt_eta_bins",
"mc_muon_trg_extrapolation": 1.0, # for nominal case
},
],
"2016postVFP": [
{
"flagname": "trg_wgt_single_mu22",
"mc_trigger_sf": "Trg_pt_eta_bins",
"mc_muon_trg_extrapolation": 1.0, # for nominal case
},
],
"2016preVFP": [
{
"flagname": "trg_wgt_single_mu22",
"mc_trigger_sf": "Trg_pt_eta_bins",
"mc_muon_trg_extrapolation": 1.0, # for nominal case
},
],
}
)
},
)
# muon trigger SF settings from embedding measurements
configuration.add_config_parameters(
["mm"],
{
"singlemuon_trigger_sf": EraModifier(
{
"2018": [
{
"flagname": "trg_wgt_single_mu24",
"embedding_trigger_sf": "Trg_IsoMu24_pt_eta_bins",
"muon_trg_extrapolation": 1.0, # for nominal case
},
{
"flagname": "trg_wgt_single_mu27",
"embedding_trigger_sf": "Trg_IsoMu27_pt_eta_bins",
"muon_trg_extrapolation": 1.0, # for nominal case
},
{
"flagname": "trg_wgt_single_mu24ormu27",
"embedding_trigger_sf": "Trg_IsoMu27_or_IsoMu24_pt_eta_bins",
"muon_trg_extrapolation": 1.0, # for nominal case
},
],
"2017": [
{
"flagname": "trg_wgt_single_mu24",
"embedding_trigger_sf": "Trg_IsoMu24_pt_eta_bins",
"muon_trg_extrapolation": 1.0, # for nominal case
},
{
"flagname": "trg_wgt_single_mu27",
"embedding_trigger_sf": "Trg_IsoMu27_pt_eta_bins",
"muon_trg_extrapolation": 1.0, # for nominal case
},
{
"flagname": "trg_wgt_single_mu24ormu27",
"embedding_trigger_sf": "Trg_IsoMu27_or_IsoMu24_pt_eta_bins",
"muon_trg_extrapolation": 1.0, # for nominal case
},
],
"2016postVFP": [
{
"flagname": "trg_wgt_single_mu22",
"embedding_trigger_sf": "Trg_pt_eta_bins",
"muon_trg_extrapolation": 1.0, # for nominal case
},
],
"2016preVFP": [
{
"flagname": "trg_wgt_single_mu22",
"embedding_trigger_sf": "Trg_pt_eta_bins",
"muon_trg_extrapolation": 1.0, # for nominal case
},
],
}
)
},
)
# add muon scalefactors from embedding measurements
configuration.add_config_parameters(
["mm"],
{
"mc_muon_sf_file": EraModifier(
{
"2016preVFP": "data/embedding/muon_2016preVFPUL.json.gz",
"2016postVFP": "data/embedding/muon_2016postVFPUL.json.gz",
"2017": "data/embedding/muon_2017UL.json.gz",
"2018": "data/embedding/muon_2018UL.json.gz",
}
),
"mc_muon_id_sf": "ID_pt_eta_bins",
"mc_muon_iso_sf": "Iso_pt_eta_bins",
"mc_muon_id_extrapolation": 1.0, # for nominal case
"mc_muon_iso_extrapolation": 1.0, # for nominal case
},
)
# add muon scalefactors from embedding measurements
configuration.add_config_parameters(
["mt", "mm", "em"],
{
"embedding_muon_sf_file": EraModifier(
{
"2016preVFP": "data/embedding/muon_2016preVFPUL.json.gz",
"2016postVFP": "data/embedding/muon_2016postVFPUL.json.gz",
"2017": "data/embedding/muon_2017UL.json.gz",
"2018": "data/embedding/muon_2018UL.json.gz",
}
),
"embedding_muon_id_sf": "ID_pt_eta_bins",
"embedding_muon_iso_sf": "Iso_pt_eta_bins",
},
)
configuration.add_config_parameters(
["mm"],
{
"doublemuon_trigger": EraModifier(
{
"2018": [
{
"flagname": "trg_double_mu17_mu8",
"hlt_path": "HLT_Mu17_TrkIsoVVL_Mu8_TrkIsoVVL_DZ",
"p1_ptcut": 17,
"p2_ptcut": 8,
"p1_etacut": 2.5,
"p2_etacut": 2.5,
"p1_filterbit": 4,
"p1_trigger_particle_id": 13,
"p2_filterbit": 4,
"p2_trigger_particle_id": 13,
"max_deltaR_triggermatch": 0.4,
},
{
"flagname": "trg_double_mu17_mu8_mass8",
"hlt_path": "HLT_Mu17_TrkIsoVVL_Mu8_TrkIsoVVL_DZ_Mass8",
"p1_ptcut": 17,
"p2_ptcut": 8,
"p1_etacut": 2.5,
"p2_etacut": 2.5,
"p1_filterbit": 4,
"p1_trigger_particle_id": 13,
"p2_filterbit": 4,
"p2_trigger_particle_id": 13,
"max_deltaR_triggermatch": 0.4,
},
],
"2017": [
{
"flagname": "trg_double_mu17_mu8",
"hlt_path": "HLT_Mu17_TrkIsoVVL_Mu8_TrkIsoVVL_DZ",
"p1_ptcut": 17,
"p2_ptcut": 8,
"p1_etacut": 2.5,
"p2_etacut": 2.5,
"p1_filterbit": 4,
"p1_trigger_particle_id": 13,
"p2_filterbit": 4,
"p2_trigger_particle_id": 13,
"max_deltaR_triggermatch": 0.4,
},
{
"flagname": "trg_double_mu17_mu8_mass8",
"hlt_path": "HLT_Mu17_TrkIsoVVL_Mu8_TrkIsoVVL_DZ_Mass8",
"p1_ptcut": 17,
"p2_ptcut": 8,
"p1_etacut": 2.5,
"p2_etacut": 2.5,
"p1_filterbit": 4,
"p1_trigger_particle_id": 13,
"p2_filterbit": 4,
"p2_trigger_particle_id": 13,
"max_deltaR_triggermatch": 0.4,
},
],
"2016postVFP": [
{
"flagname": "trg_double_mu17_mu8",
"hlt_path": "HLT_Mu17_TrkIsoVVL_Mu8_TrkIsoVVL_DZ",
"p1_ptcut": 17,
"p2_ptcut": 8,
"p1_etacut": 2.5,
"p2_etacut": 2.5,
"p1_filterbit": 4,
"p1_trigger_particle_id": 13,
"p2_filterbit": 4,
"p2_trigger_particle_id": 13,
"max_deltaR_triggermatch": 0.4,
},
],
"2016preVFP": [
{
"flagname": "trg_double_mu17_mu8",
"hlt_path": "HLT_Mu17_TrkIsoVVL_Mu8_TrkIsoVVL_DZ",
"p1_ptcut": 17,
"p2_ptcut": 8,
"p1_etacut": 2.5,
"p2_etacut": 2.5,
"p1_filterbit": 4,
"p1_trigger_particle_id": 13,
"p2_filterbit": 4,
"p2_trigger_particle_id": 13,
"max_deltaR_triggermatch": 0.4,
},
],
}
),
},
)
# electron base selection:
configuration.add_config_parameters(
"global",
{
"min_ele_pt": 10.0,
"max_ele_eta": 2.5,
"max_ele_dxy": 0.045,
"max_ele_dz": 0.2,
"max_ele_iso": 0.3,
"ele_id": "Electron_mvaFall17V2noIso_WP90",
},
)
## all scopes misc settings
configuration.add_config_parameters(
scopes,
{
"deltaR_jet_veto": 0.5,
"pairselection_min_dR": 0.5,
},
)
configuration.add_config_parameters(
"global",
{
"ele_energyscale_barrel": 1.0,
"ele_energyscale_endcap": 1.0,
},
)
configuration.add_producers(
"global",
[
event.SampleFlags,
event.PUweights,
event.Lumi,
event.npartons,
event.MetFilter,
muons.BaseMuons,
met.MetBasics,
jets.GoodJets,
jets.JetEnergyCorrection,
event.PrefireWeight,
electrons.ElectronPtCorrectionEmbedding,
electrons.BaseElectrons,
],
)
configuration.add_producers(
"mm",
[
muons.GoodMuons,
muons.NumberOfGoodMuons,
pairselection.MuMuPairSelection,
pairselection.GoodMuMuPairFilter,
pairselection.LVMu1,
pairselection.LVMu2,
pairquantities.MuMuPairQuantities,
tagandprobe.MuonID_Medium_1,
tagandprobe.MuonID_Medium_2,
genparticles.GenMatching,
genparticles.MuMuGenPairQuantities,
triggers.MuMuGenerateSingleMuonTriggerFlags,
jets.JetCollection,
jets.BasicJetQuantities,
pairselection.LVMu1Uncorrected,
pairselection.LVMu2Uncorrected,
met.ApplyRecoilCorrectionsPFMet,
met.PropagateJetsToPFMet,
met.PropagateLeptonsToPFMet,
met.ApplyRecoilCorrections,
met.PropagateJetsToMet,
met.PropagateLeptonsToMet,
pairquantities.DiTauPairMETQuantities,
muons.VetoMuons,
muons.VetoSecondMuon,
muons.ExtraMuonsVeto,
electrons.ExtraElectronsVeto,
],
)
configuration.add_outputs(
"mm",
[
q.is_data,
q.is_embedding,
q.is_ttbar,
q.is_dyjets,
q.is_wjets,
q.is_diboson,
nanoAOD.run,
q.lumi,
nanoAOD.event,
q.puweight,
q.pt_1,
q.pt_2,
q.eta_1,
q.eta_2,
q.phi_1,
q.phi_2,
q.q_1,
q.q_2,
q.dxy_1,
q.dxy_2,
q.dz_1,
q.dz_2,
q.iso_1,
q.iso_2,
q.m_vis,
q.gen_pt_1,
q.gen_eta_1,
q.gen_phi_1,
q.gen_mass_1,
q.gen_pdgid_1,
q.gen_pt_2,
q.gen_eta_2,
q.gen_phi_2,
q.gen_mass_2,
q.gen_pdgid_2,
q.gen_m_vis,
q.is_global_1,
q.is_global_2,
q.gen_match_1,
q.gen_match_2,
qt.id_medium_1,
qt.id_medium_2,
q.nmuons,
q.npartons,
q.genbosonmass,
triggers.MuMuGenerateSingleMuonTriggerFlags.output_group,
q.mt_1,
q.mt_2,
q.pzetamissvis,
q.deltaR_ditaupair,
q.pt_vis,
q.muon_veto_flag,
q.prefireweight,
q.electron_veto_flag,
],
)
# add genWeight for everything but data
if sample != "data":
configuration.add_outputs(
scopes,
nanoAOD.genWeight,
)
configuration.add_modification_rule(
"global",
RemoveProducer(
producers=[event.PUweights],
samples=["data", "embedding"],
),
)
configuration.add_modification_rule(
"global",
AppendProducer(
producers=[event.JSONFilter],
samples=["data", "embedding"],
),
)
configuration.add_modification_rule(
"global",
RemoveProducer(
producers=[event.npartons],
exclude_samples=["dyjets", "wjets", "electroweak_boson"],
),
)
configuration.add_modification_rule(
"mm",
RemoveProducer(
producers=[
genparticles.MuMuGenPairQuantities,
],
samples=["data"],
),
)
configuration.add_modification_rule(
"mm",
RemoveProducer(
producers=[
genparticles.GenMatching,
],
samples=["data"],
),
)
configuration.add_modification_rule(
scopes,
AppendProducer(
producers=embedding.TauEmbeddingSelectionSF, samples=["embedding"]
),
)
configuration.add_modification_rule(
"global",
ReplaceProducer(
producers=[jets.JetEnergyCorrection, jets.JetEnergyCorrection_data],
samples="data",
),
)
configuration.add_modification_rule(
"global",
ReplaceProducer(
producers=[jets.JetEnergyCorrection, jets.RenameJetsData],
samples=["embedding", "embedding_mc"],
),
)
configuration.add_modification_rule(
["mm"],
AppendProducer(
producers=[
embedding.EmbeddingGenWeight,
],
samples=["embedding"],
),
)
configuration.add_modification_rule(
["mm"],
AppendProducer(
producers=[
scalefactors.TauEmbeddingMuonIDSF_1_MC,
scalefactors.TauEmbeddingMuonIsoSF_1_MC,
scalefactors.TauEmbeddingMuonIDSF_2_MC,
scalefactors.TauEmbeddingMuonIsoSF_2_MC,
scalefactors.MTGenerateSingleMuonTriggerSF_MC,
],
exclude_samples=["data", "embedding", "embedding_mc"],
),
)
configuration.add_modification_rule(
["mm"],
AppendProducer(
producers=[
embedding.TauEmbeddingMuonIDSF_1,
embedding.TauEmbeddingMuonIsoSF_1,
embedding.TauEmbeddingMuonIDSF_2,
embedding.TauEmbeddingMuonIsoSF_2,
embedding.MTGenerateSingleMuonTriggerSF,
],
samples=["embedding"],
),
)
configuration.add_modification_rule(
scopes,
AppendProducer(producers=event.TopPtReweighting, samples="ttbar"),
)
configuration.add_modification_rule(
scopes,
AppendProducer(
producers=event.ZPtMassReweighting, samples=["dyjets", "electroweak_boson"]
),
)
add_diTauTriggerSetup(configuration)
#########################
# Finalize and validate the configuration
#########################
configuration.optimize()
configuration.validate()
configuration.report()
return configuration.expanded_configuration()