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config.py
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from __future__ import annotations # needed for type annotations in > python 3.7
from typing import List
from .producers import electrons as electrons
from .producers import event as event
from .producers import genparticles as genparticles
from .producers import jets as jets
from .producers import met as met
from .producers import muons as muons
from .producers import triplequantities as triplequantities
from .producers import tripleselection as tripleselection
from .producers import scalefactors as scalefactors
from .producers import taus as taus
from .producers import triggers as triggers
from .quantities import nanoAOD as nanoAOD
from .quantities import output as q
from .tau_triggersetup import add_diTauTriggerSetup
from .tau_variations import add_tauVariations
from .jet_variations import add_jetVariations
from .btag_variations import add_btagVariations
from .jec_data import add_jetCorrectionData
from code_generation.configuration import Configuration
from code_generation.modifiers import EraModifier, SampleModifier
from code_generation.rules import AppendProducer, RemoveProducer, ReplaceProducer
from code_generation.systematics import SystematicShift, SystematicShiftByQuantity
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,
)
# first add default parameters necessary for all scopes
configuration.add_config_parameters(
"global",
{
# for LHE weights
"muR": 1.0,
"muF": 1.0,
"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_BadPFMuonDzFilter", # only since nanoAODv9 available
"Flag_eeBadScFilter",
],
"2016postVFP": [
"Flag_goodVertices",
"Flag_globalSuperTightHalo2016Filter",
"Flag_HBHENoiseFilter",
"Flag_HBHENoiseIsoFilter",
"Flag_EcalDeadCellTriggerPrimitiveFilter",
"Flag_BadPFMuonFilter",
"Flag_BadPFMuonDzFilter", # only since nanoAODv9 available
"Flag_eeBadScFilter",
],
"2017": [
"Flag_goodVertices",
"Flag_globalSuperTightHalo2016Filter",
"Flag_HBHENoiseFilter",
"Flag_HBHENoiseIsoFilter",
"Flag_EcalDeadCellTriggerPrimitiveFilter",
"Flag_BadPFMuonFilter",
"Flag_BadPFMuonDzFilter", # only since nanoAODv9 available
"Flag_eeBadScFilter",
"Flag_ecalBadCalibFilter",
],
"2018": [
"Flag_goodVertices",
"Flag_globalSuperTightHalo2016Filter",
"Flag_HBHENoiseFilter",
"Flag_HBHENoiseIsoFilter",
"Flag_EcalDeadCellTriggerPrimitiveFilter",
"Flag_BadPFMuonFilter",
"Flag_BadPFMuonDzFilter", # only since nanoAODv9 available
"Flag_eeBadScFilter",
"Flag_ecalBadCalibFilter",
],
}
),
},
)
# Tau base selection:
# configuration.add_config_parameters(
# "global",
# {
# "min_tau_pt": 30.0,
# "max_tau_eta": 2.3,
# "max_tau_dz": 0.2,
# },
# )
configuration.add_config_parameters(
["emt", "met", "mmt", "ett", "mtt"],
{
"tau_dms": "0,1,10,11",
"tau_sf_file": EraModifier(
{
"2016preVFP": "data/jsonpog-integration/POG/TAU/2016preVFP_UL/tau.json.gz",
"2016postVFP": "data/jsonpog-integration/POG/TAU/2016postVFP_UL/tau.json.gz",
"2017": "data/jsonpog-integration/POG/TAU/2017_UL/tau.json.gz",
"2018": "data/jsonpog-integration/POG/TAU/2018_UL/tau.json.gz",
}
),
"tau_ES_json_name": "tau_energy_scale",
"tau_id_algorithm": "DeepTau2017v2p1",
"tau_ES_shift_DM0": "nom",
"tau_ES_shift_DM1": "nom",
"tau_ES_shift_DM10": "nom",
"tau_ES_shift_DM11": "nom",
"tau_elefake_es_DM0_barrel": "nom",
"tau_elefake_es_DM0_endcap": "nom",
"tau_elefake_es_DM1_barrel": "nom",
"tau_elefake_es_DM1_endcap": "nom",
"tau_mufake_es": "nom",
},
)
# 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"',
},
)
# bjet base selection:
configuration.add_config_parameters(
"global",
{
"min_bjet_pt": 20,
"max_bjet_eta": EraModifier(
{
"2016preVFP": 2.5,
"2016postVFP": 2.5,
"2017": 2.5,
"2018": 2.5,
}
),
"btag_cut": EraModifier( # medium
{
"2016preVFP": 0.2598, # taken from https://twiki.cern.ch/twiki/bin/view/CMS/BtagRecommendation106XUL16preVFP
"2016postVFP": 0.2489, # taken from https://twiki.cern.ch/twiki/bin/view/CMS/BtagRecommendation106XUL16postVFP
"2017": 0.3040,
"2018": 0.2783,
}
),
},
)
# bjet scale factors
configuration.add_config_parameters(
scopes,
{
"btag_sf_file": EraModifier(
{
"2016preVFP": "data/jsonpog-integration/POG/BTV/2016preVFP_UL/btagging.json.gz",
"2016postVFP": "data/jsonpog-integration/POG/BTV/2016postVFP_UL/btagging.json.gz",
"2017": "data/jsonpog-integration/POG/BTV/2017_UL/btagging.json.gz",
"2018": "data/jsonpog-integration/POG/BTV/2018_UL/btagging.json.gz",
}
),
"btag_sf_variation": "central",
"btag_corr_algo": "deepJet_shape",
},
)
# leptonveto base selection:
configuration.add_config_parameters(
"global",
{
"min_dielectronveto_pt": 15.0,
"dielectronveto_id": "Electron_cutBased",
"dielectronveto_id_wp": 1,
"min_dimuonveto_pt": 15.0,
"dimuonveto_id": "Muon_looseId",
"dileptonveto_dR": 0.15,
},
)
# di tau id weights
configuration.add_config_parameters(
["emt", "met", "mmt", "ett", "mtt"],
{
"vsjet_tau_id": [
{
"tau_id_discriminator": "DeepTau2017v2p1VSjet",
"tau_3_vsjet_sf_outputname": "id_wgt_tau_vsJet_{wp}_3".format(
wp=wp
),
"tau_2_vsjet_sf_outputname": "id_wgt_tau_vsJet_{wp}_2".format(
wp=wp
),
"vsjet_tau_id_WP": "{wp}".format(wp=wp),
"tau_3_vsjet_id_outputname": "id_tau_vsJet_{wp}_3".format(wp=wp),
"tau_2_vsjet_id_outputname": "id_tau_vsJet_{wp}_2".format(wp=wp),
"vsjet_tau_id_WPbit": bit,
}
for wp, bit in {
"VVVLoose": 1,
"VVLoose": 2,
"VLoose": 3,
"Loose": 4,
"Medium": 5,
"Tight": 6,
"VTight": 7,
"VVTight": 8,
}.items()
],
"vsele_tau_id": [
{
"tau_id_discriminator": "DeepTau2017v2p1VSe",
"tau_3_vsele_sf_outputname": "id_wgt_tau_vsEle_{wp}_3".format(
wp=wp
),
"tau_2_vsele_sf_outputname": "id_wgt_tau_vsEle_{wp}_2".format(
wp=wp
),
"vsele_tau_id_WP": "{wp}".format(wp=wp),
"tau_3_vsele_id_outputname": "id_tau_vsEle_{wp}_3".format(wp=wp),
"tau_2_vsele_id_outputname": "id_tau_vsEle_{wp}_2".format(wp=wp),
"vsele_tau_id_WPbit": bit,
}
for wp, bit in {
"VVLoose": 2,
"VLoose": 3,
"Loose": 4,
"Medium": 5,
"Tight": 6,
"VTight": 7,
"VVTight": 8,
}.items()
],
"vsmu_tau_id": [
{
"tau_id_discriminator": "DeepTau2017v2p1VSmu",
"tau_3_vsmu_sf_outputname": "id_wgt_tau_vsMu_{wp}_3".format(wp=wp),
"tau_2_vsmu_sf_outputname": "id_wgt_tau_vsMu_{wp}_2".format(wp=wp),
"vsmu_tau_id_WP": "{wp}".format(wp=wp),
"tau_3_vsmu_id_outputname": "id_tau_vsMu_{wp}_3".format(wp=wp),
"tau_2_vsmu_id_outputname": "id_tau_vsMu_{wp}_2".format(wp=wp),
"vsmu_tau_id_WPbit": bit,
}
for wp, bit in {
"VLoose": 1,
"Loose": 2,
"Medium": 3,
"Tight": 4,
}.items()
],
"tau_sf_vsele_barrel": "nom", # or "up"/"down" for up/down variation
"tau_sf_vsele_endcap": "nom", # or "up"/"down" for up/down variation
"tau_sf_vsmu_wheel1": "nom",
"tau_sf_vsmu_wheel2": "nom",
"tau_sf_vsmu_wheel3": "nom",
"tau_sf_vsmu_wheel4": "nom",
"tau_sf_vsmu_wheel5": "nom",
},
)
# ETT/MTT tau id sf variations
configuration.add_config_parameters(
["ett", "mtt"],
{
"tau_sf_vsjet_tauDM0": "nom",
"tau_sf_vsjet_tauDM1": "nom",
"tau_sf_vsjet_tauDM10": "nom",
"tau_sf_vsjet_tauDM11": "nom",
"tau_vsjet_sf_dependence": "dm", # or "dm", "eta"
"tau_vsjet_vseleWP": "VVLoose",
},
)
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",
"2016postVFP": "data/zpt/htt_scalefactors_legacy_2016.root",
"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",
},
)
# add muon scalefactors from embedding measurements
configuration.add_config_parameters(
["emt", "met", "mmt", "mtt", "mme", "eem"],
{
"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 electron scalefactors from embedding measurements
configuration.add_config_parameters(
["emt", "met", "ett", "mme", "eem"],
{
"mc_electron_sf_file": EraModifier(
{
"2016preVFP": "data/embedding/electron_2016preVFPUL.json.gz",
"2016postVFP": "data/embedding/electron_2016postVFPUL.json.gz",
"2017": "data/embedding/electron_2017UL.json.gz",
"2018": "data/embedding/electron_2018UL.json.gz",
}
),
"mc_electron_id_sf": "ID90_pt_eta_bins",
"mc_electron_iso_sf": "Iso_pt_eta_bins",
"mc_electron_id_extrapolation": 1.0, # for nominal case
"mc_electron_iso_extrapolation": 1.0, # for nominal case
},
)
# muon trigger SF settings from embedding measurements
configuration.add_config_parameters(
["emt", "met", "mmt", "mtt", "mme", "eem"],
{
"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
},
],
}
)
},
)
# electron trigger SF settings from embedding measurements
configuration.add_config_parameters(
["emt", "met", "ett", "mme", "eem"],
{
"singlelectron_trigger_sf_mc": EraModifier(
{
"2018": [
{
"flagname": "trg_wgt_single_ele32",
"mc_trigger_sf": "Trg32_Iso_pt_eta_bins",
"mc_electron_trg_extrapolation": 1.0, # for nominal case
},
{
"flagname": "trg_wgt_single_ele35",
"mc_trigger_sf": "Trg35_Iso_pt_eta_bins",
"mc_electron_trg_extrapolation": 1.0, # for nominal case
},
{
"flagname": "trg_wgt_single_ele32orele35",
"mc_trigger_sf": "Trg32_or_Trg35_Iso_pt_eta_bins",
"mc_electron_trg_extrapolation": 1.0, # for nominal case
},
{
"flagname": "trg_wgt_single_ele27orele32orele35",
"mc_trigger_sf": "Trg_Iso_pt_eta_bins",
"mc_electron_trg_extrapolation": 1.0, # for nominal case
},
],
"2017": [
{
"flagname": "trg_wgt_single_ele32",
"mc_trigger_sf": "Trg32_Iso_pt_eta_bins",
"mc_electron_trg_extrapolation": 1.0, # for nominal case
},
{
"flagname": "trg_wgt_single_ele35",
"mc_trigger_sf": "Trg35_Iso_pt_eta_bins",
"mc_electron_trg_extrapolation": 1.0, # for nominal case
},
{
"flagname": "trg_wgt_single_ele32orele35",
"mc_trigger_sf": "Trg32_or_Trg35_Iso_pt_eta_bins",
"mc_electron_trg_extrapolation": 1.0, # for nominal case
},
{
"flagname": "trg_wgt_single_ele27orele32orele35",
"mc_trigger_sf": "Trg_Iso_pt_eta_bins",
"mc_electron_trg_extrapolation": 1.0, # for nominal case
},
],
"2016postVFP": [
{
"flagname": "trg_wgt_single_ele25",
"mc_trigger_sf": "Trg25_Iso_pt_eta_bins",
"mc_electron_trg_extrapolation": 1.0, # for nominal case
}
],
"2016preVFP": [
{
"flagname": "trg_wgt_single_ele25",
"mc_trigger_sf": "Trg25_Iso_pt_eta_bins",
"mc_electron_trg_extrapolation": 1.0, # for nominal case
}
],
}
)
},
)
# MT / ET tau id sf variations
configuration.add_config_parameters(
["emt", "met", "mmt", "ett", "mtt"],
{
"tau_sf_vsjet_tau30to35": "nom",
"tau_sf_vsjet_tau35to40": "nom",
"tau_sf_vsjet_tau40to500": "nom",
"tau_sf_vsjet_tau500to1000": "nom",
"tau_sf_vsjet_tau1000toinf": "nom",
"tau_vsjet_sf_dependence": "pt", # or "dm", "eta"
},
)
configuration.add_config_parameters(
["emt", "met", "ett"],
{
"tau_vsjet_vseleWP": "Tight",
},
)
configuration.add_config_parameters(
["mmt", "mtt"],
{
"tau_vsjet_vseleWP": "VVLoose",
},
)
# # Muon scale factors configuration
configuration.add_config_parameters(
["emt", "met", "mmt", "mtt", "mme", "eem"],
{
"muon_sf_file": EraModifier(
{
"2016preVFP": "data/jsonpog-integration/POG/MUO/2016preVFP_UL/muon_Z.json.gz",
"2016postVFP": "data/jsonpog-integration/POG/MUO/2016postVFP_UL/muon_Z.json.gz",
"2017": "data/jsonpog-integration/POG/MUO/2017_UL/muon_Z.json.gz",
"2018": "data/jsonpog-integration/POG/MUO/2018_UL/muon_Z.json.gz",
}
),
"muon_id_sf_name": "NUM_MediumID_DEN_TrackerMuons",
"muon_iso_sf_name": "NUM_TightRelIso_DEN_MediumID",
"muon_sf_year_id": EraModifier(
{
"2016preVFP": "2016preVFP_UL",
"2016postVFP": "2016postVFP_UL",
"2017": "2017_UL",
"2018": "2018_UL",
}
),
"muon_sf_varation": "sf", # "sf" is nominal, "systup"/"systdown" are up/down variations
},
)
# electron scale factors configuration
configuration.add_config_parameters(
["emt", "met", "ett", "mme", "eem"],
{
"ele_sf_file": EraModifier(
{
"2016preVFP": "data/jsonpog-integration/POG/EGM/2016preVFP_UL/electron.json.gz",
"2016postVFP": "data/jsonpog-integration/POG/EGM/2016postVFP_UL/electron.json.gz",
"2017": "data/jsonpog-integration/POG/EGM/2017_UL/electron.json.gz",
"2018": "data/jsonpog-integration/POG/EGM/2018_UL/electron.json.gz",
}
),
"ele_id_sf_name": "UL-Electron-ID-SF",
"ele_sf_year_id": EraModifier(
{
"2016preVFP": "2016preVFP",
"2016postVFP": "2016postVFP",
"2017": "2017",
"2018": "2018",
}
),
"ele_sf_varation": "sf", # "sf" is nominal, "sfup"/"sfdown" are up/down variations
},
)
# muon base selection:
configuration.add_config_parameters(
"global",
{
"min_muon_pt": 15.0,
"max_muon_eta": 2.4,
"max_muon_dxy": 0.045,
"max_muon_dz": 0.2,
"muon_id": "Muon_looseId",
},
)
# 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,
"ele_id": "Electron_mvaFall17V2noIso_WPL",
},
)
# in the channels for the signal extraction, the base selection is also taken into account for the base masks to estimate the jet to lepton fake contribution. so execpt of the tau id working point, one can choose the good particles properties here
# EMT scope electron and selection
configuration.add_config_parameters(
["emt"],
{
"min_tau_pt": 20.0,
"max_tau_eta": 2.3,
"max_tau_dz": 0.2,
"vsjet_tau_id_bit": 1, # vloose, 7 (vtight in paper)
"vsele_tau_id_bit": 1, # vloose, 6 (tight) in paper
"vsmu_tau_id_bit": 1, # vloose, 4 (tight) in paper
"electron_index_in_triple": 0,
"min_electron_pt": 15.0, # 15 in paper
"max_electron_eta": 2.5, # in paper 2.1
"electron_iso_cut": 0.15, # 0.15 in paper
"max_ele_iso": 0.15,
"good_ele_id": "Electron_mvaFall17V2noIso_WP90",
"muon_index_in_triple": 1,
"good_muon_id": "Muon_mediumId",
"min_muon_pt": 10.0,
"max_muon_eta": 2.4,
"muon_iso_cut": 0.15,
"deltaR_jet_veto": 0.15,
"tripleselection_min_dR_leptau": 0.0,
"tripleselection_min_dR_leplep": 0.0,
"p4_23_miss_sf": 0.69,
},
)
# MET scope electron and selection
configuration.add_config_parameters(
["met"],
{
"min_tau_pt": 20.0,
"max_tau_eta": 2.3,
"max_tau_dz": 0.2,
"vsjet_tau_id_bit": 1, # vloose, 7 (vtight in paper)
"vsele_tau_id_bit": 1, # vloose, 6 (tight) in paper
"vsmu_tau_id_bit": 1, # vloose, 4 (tight) in paper
"electron_index_in_triple": 1,
"min_electron_pt": 15.0, # 15 in paper
"max_electron_eta": 2.5, # in paper 2.1
"electron_iso_cut": 0.5, # 0.15 in paper
"max_ele_iso": 0.15,
"good_ele_id": "Electron_mvaFall17V2noIso_WP90",
"muon_index_in_triple": 0,
"good_muon_id": "Muon_mediumId",
"min_muon_pt": 10.0,
"max_muon_eta": 2.4,
"muon_iso_cut": 0.15,
"deltaR_jet_veto": 0.5,
"tripleselection_min_dR_leptau": 0.0,
"tripleselection_min_dR_leplep": 0.0,
"p4_23_miss_sf": 0.69,
},
)
# MMT scope electron and selection, also for fake rate measurements
configuration.add_config_parameters(
["mmt"],
{
"ss_or_os": "ss",
"min_tau_pt": 20.0,
"max_tau_eta": 2.3,
"max_tau_dz": 0.2,
"vsjet_tau_id_bit": 1, # vvvloose, 7 (vtight in paper)
"vsele_tau_id_bit": 1, # vvloose, 6 (tight) in paper
"vsmu_tau_id_bit": 1, # vloose, 4 (tight) in paper
"good_muon_id": "Muon_mediumId",
"muon_index_in_triple": 0,
"second_muon_index_in_triple": 1,
"min_muon_pt": 10.0,
"max_muon_eta": 2.4,
"muon_iso_cut": 0.15,
"deltaR_jet_veto": 0.5,
"tripleselection_min_dR_leptau": 0.0,
"tripleselection_min_dR_leplep": 0.0,
"min_electron_pt": 15.0, # 15 in paper
"max_electron_eta": 2.5, # in paper 2.1
"electron_iso_cut": 0.15, # 0.15 in paper
"max_ele_iso": 0.15,
"good_ele_id": "Electron_mvaFall17V2noIso_WP90",
"p4_23_miss_sf": 0.69,
},
)
# ETT scope electron and selection, also for fake rate measurements
configuration.add_config_parameters(
["ett"],
{
"min_tau_pt": 20.0,
"max_tau_eta": 2.3,
"max_tau_dz": 0.2,
"vsjet_tau_id_bit": 1, # vloose, 7 (vtight in paper)
"vsele_tau_id_bit": 1, # vloose, 6 (tight) in paper
"vsmu_tau_id_bit": 1, # vloose, 4 (tight) in paper
"electron_index_in_triple": 0,
"min_electron_pt": 26.0,
"max_electron_eta": 2.1,
"electron_iso_cut": 0.15, # 0.15 in paper
"good_ele_id": "Electron_mvaFall17V2noIso_WP90",
"deltaR_jet_veto": 0.5,
"tripleselection_min_dR_leptau": 0.0,
"tripleselection_min_dR_tautau": 0.5,
"good_muon_id": "Muon_mediumId",
"min_muon_pt": 10.0,
"max_muon_eta": 2.4,
"muon_iso_cut": 0.15,
"p4_23_miss_sf": 0.47,
},
)
# MTT scope electron and selection, also for fake rate measurements
configuration.add_config_parameters(
["mtt"],
{
"min_tau_pt": 20.0,
"max_tau_eta": 2.3,
"max_tau_dz": 0.2,
"vsjet_tau_id_bit": 1, # vloose, 7 (vtight in paper)
"vsele_tau_id_bit": 1, # vloose, 6 (tight) in paper
"vsmu_tau_id_bit": 1, # vloose, 4 (tight) in paper
"muon_index_in_triple": 0,
"min_muon_pt": 10.0,
"max_muon_eta": 2.4,
"muon_iso_cut": 0.5,
"good_muon_id": "Muon_mediumId",
"deltaR_jet_veto": 0.5,
"tripleselection_min_dR_leptau": 0.0,
"tripleselection_min_dR_tautau": 0.5,
"min_electron_pt": 15.0,
"max_electron_eta": 2.5,
"electron_iso_cut": 0.15, # 0.15 in paper
"good_ele_id": "Electron_mvaFall17V2noIso_WP90",
"p4_23_miss_sf": 0.47,
},
)
# MME scope electron and selection, also for fake rate measurements
configuration.add_config_parameters(
["mme"],
{
"muon_index_in_triple": 0,
"second_muon_index_in_triple": 1,
"electron_index_in_triple": 2,
"min_muon_pt": 15.0,
"max_muon_eta": 2.4,
"muon_iso_cut": 0.15,
"good_muon_id": "Muon_mediumId",
"good_ele_id": "Electron_mvaFall17V2noIso_WP90",
"deltaR_jet_veto": 0.5,
"tripleselection_min_dR_lep1lep1": 0.3,
"tripleselection_min_dR_lep1lep2": 0.3,
"min_electron_pt": 10.0,
"max_electron_eta": 2.5,
"electron_iso_cut": 0.15, # 0.15 in paper
"p4_23_miss_sf": 0.69,
},
)
# EEM scope electron and selection, also for fake rate measurements
configuration.add_config_parameters(
["eem"],
{
"electron_index_in_triple": 0,
"second_electron_index_in_triple": 1,
"muon_index_in_triple": 2,
"min_muon_pt": 10.0,
"max_muon_eta": 2.4,
"min_electron_pt": 10.0,
"max_electron_eta": 2.5,
"electron_iso_cut": 0.15,
"good_ele_id": "Electron_mvaFall17V2noIso_WP90",
"deltaR_jet_veto": 0.5,
"tripleselection_min_dR_lep1lep1": 0.3,
"tripleselection_min_dR_lep1lep2": 0.3,
"muon_iso_cut": 0.15,
"good_muon_id": "Muon_mediumId",
"p4_23_miss_sf": 0.69,
},
)
# # EMT TrueGenTriple
# configuration.add_config_parameters(
# ["emt"],
# {
# "truegen_mother_pdgid_23": SampleModifier(
# {"rem_htautau": 25, "tt": 6, "vv": 24}, default=None
# ),
# "truegen_mother_pdgid_1": SampleModifier(
# {"rem_htautau": 24, "tt": 6, "vv": 24}, default=None
# ),
# "truegen_daughter_1_pdgid": 11,
# "truegen_daugher_2_pdgid": 15,
# "truegen_daugher_3_pdgid": 15,
# },
# )
## all scopes misc settings
configuration.add_config_parameters(
scopes,
{
"deltaR_jet_veto": 0.5,
"tripleselection_min_dR": 0.5,
},
)
## all scopes MET selection
configuration.add_config_parameters(
scopes,
{
"propagateLeptons": SampleModifier(
{"data": False, "embedding": False},
default=True,
),
"propagateJets": SampleModifier(
{"data": False, "embedding": 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": True,
"dyjets": True,
"electroweak_boson": True,
"ggh_htautau": True,
"vbf_htautau": True,
"rem_htautau": True,
"ggh_hww": True,
"vbf_hww": True,
"rem_VH": True,
},
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,
},
)
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",
},
)
configuration.add_producers(
"global",
[
# event.RunLumiEventFilter,
event.SampleFlags,
event.Lumi,
event.npartons,
event.MetFilter,
event.PUweights,
event.LHE_Scale_weight,
muons.BaseMuons,
electrons.BaseElectrons,
jets.JetEnergyCorrection,
jets.GoodJets,
jets.GoodBJets,
event.DiLeptonVeto,
met.MetBasics,
],
)
## add prefiring
if era != "2018":
configuration.add_producers(
"global",
[
event.PrefireWeight,
],
)
configuration.add_producers(
["emt", "met"],
[
jets.JetCollection,
jets.BasicJetQuantities,
jets.BJetCollection,
jets.BasicBJetQuantities,
met.MetCorrections,
met.PFMetCorrections,
genparticles.GenMatching,
# muons taus
muons.GoodMuons,
muons.NumberOfGoodMuons,
muons.VetoMuons,
muons.ExtraMuonsVeto,
taus.TauEnergyCorrection,
# taus.BaseTaus,
taus.GoodTaus,
taus.NumberOfGoodTaus,
tripleselection.LVTau3Uncorrected,
tripleselection.LVTau3,
# scalefactors
scalefactors.Tau_3_VsJetTauID_lt_SF,
scalefactors.Tau_3_VsEleTauID_SF,
scalefactors.Tau_3_VsMuTauID_SF,
scalefactors.btagging_SF,
# electrons
electrons.GoodElectrons,
electrons.NumberOfGoodElectrons,
electrons.VetoElectrons,
electrons.ExtraElectronsVeto,
triplequantities.mt,
tripleselection.GoodTripleFilter,
],
)
configuration.add_producers(
"emt",
[
tripleselection.EMTTripleSelection,
# tripleselection.EMTTripleSelectionWOEle,
tripleselection.LVEl1,
tripleselection.LVMu2,
tripleselection.LVEl1Uncorrected,
tripleselection.LVMu2Uncorrected,
triplequantities.EMTTripleQuantities,
genparticles.EMTGenTripleQuantities,
# scalefactors.Muon_2_ID_SF,
# scalefactors.EleID_SF,
# scalefactors.Muon_2_Iso_SF,
scalefactors.TauEmbeddingElectronIDSF_1_MC,
scalefactors.TauEmbeddingElectronIsoSF_1_MC,
scalefactors.TauEmbeddingMuonIDSF_2_MC,
scalefactors.TauEmbeddingMuonIsoSF_2_MC,
scalefactors.EMTGenerateSingleMuonTriggerSF_MC,
scalefactors.EMTGenerateSingleElectronTriggerSF_MC,
triggers.EMTGenerateSingleElectronTriggerFlags,
triggers.EMTGenerateSingleMuonTriggerFlags,
# genparticles.EMTTrueGenTriple,
],
)
configuration.add_producers(
"met",
[
tripleselection.METTripleSelection,
tripleselection.LVEl2,
tripleselection.LVMu1,
tripleselection.LVEl2Uncorrected,
tripleselection.LVMu1Uncorrected,
triplequantities.METTripleQuantities,
genparticles.METGenTripleQuantities,
# scalefactors
# scalefactors.Muon_1_ID_SF,
# scalefactors.EleID_SF,
# scalefactors.Muon_1_Iso_SF,
scalefactors.TauEmbeddingElectronIDSF_2_MC,
scalefactors.TauEmbeddingElectronIsoSF_2_MC,
scalefactors.TauEmbeddingMuonIDSF_1_MC,
scalefactors.TauEmbeddingMuonIsoSF_1_MC,
triggers.METGenerateSingleElectronTriggerFlags,