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SkimmerHHtobbWWDL.py
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SkimmerHHtobbWWDL.py
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import os
import sys
from operator import mul
from functools import reduce
from bamboo.analysismodules import SkimmerModule
from bamboo import treefunctions as op
from bamboo.analysisutils import makePileupWeight
sys.path.append(os.path.join(os.path.dirname(os.path.abspath(__file__)))) # Add scripts in this directory
from BaseHHtobbWW import BaseNanoHHtobbWW
from selectionDef import *
#===============================================================================================#
# SkimmerHHtobbWW #
#===============================================================================================#
class SkimmerNanoHHtobbWWDL(BaseNanoHHtobbWW,SkimmerModule):
""" Plotter module: HH->bbW(->e/µ nu)W(->e/µ nu) histograms from NanoAOD """
def __init__(self, args):
super(SkimmerNanoHHtobbWWDL, self).__init__(args)
def initialize(self):
super(SkimmerNanoHHtobbWWDL, self).initialize(True) # avoids doing the pseudo-data for skimmer
def defineSkimSelection(self, t, noSel, sample=None, sampleCfg=None):
noSel = super(SkimmerNanoHHtobbWWDL,self).prepareObjects(t, noSel, sample, sampleCfg, "DL", forSkimmer=True)
# For the Skimmer, SF must not use defineOnFirstUse -> segmentation fault
era = sampleCfg['era']
# Initialize varsToKeep dict #
varsToKeep = dict()
#---------------------------------------------------------------------------------------#
# Selections #
#---------------------------------------------------------------------------------------#
if not self.inclusive_sel:
#----- Check arguments -----#
jet_level = ["Ak4","Ak8","Resolved0Btag","Resolved1Btag","Resolved2Btag","Boosted0Btag","Boosted1Btag"] # Only one must be in args
if [boolean for (level,boolean) in self.args.__dict__.items() if level in jet_level].count(True) != 1:
raise RuntimeError("Only one of the jet arguments must be used, check --help")
if self.args.Channel not in ["ElEl","MuMu","ElMu"]:
raise RuntimeError("Channel must be either 'ElEl', 'MuMu' or 'ElMu'")
#----- Lepton selection -----#
# Args are passed within the self #
ElElSelObj,MuMuSelObj,ElMuSelObj = makeDoubleLeptonSelection(self,noSel,use_dd=False,fake_selection=self.args.FakeCR)
if self.args.Channel == "ElEl":
selObj = ElElSelObj
dilepton = self.ElElFakeSel[0]
if self.args.Channel == "MuMu":
selObj = MuMuSelObj
dilepton = self.MuMuFakeSel[0]
if self.args.Channel == "ElMu":
selObj = ElMuSelObj
dilepton = self.ElMuFakeSel[0]
#----- HME -----#
if self.args.analysis == 'res':
if self.args.Resolved1Btag or self.args.Resolved2Btag:
HME,HME_eff = self.computeResolvedHMEAfterLeptonSelections(
sel = selObj.sel,
l1 = dilepton[0],
l2 = dilepton[1],
bjets = self.ak4JetsByBtagScore,
met = self.corrMET)
elif self.args.Boosted1Btag:
HME,HME_eff = self.computeBoostedHMEAfterLeptonSelections(
sel = selObj.sel,
l1 = dilepton[0],
l2 = dilepton[1],
fatjets = self.ak8Jets,
met = self.corrMET)
else:
raise RuntimeError("Wrong category for resonant HME computations")
#----- Apply jet corrections -----#
ElElSelObj.sel = self.beforeJetselection(ElElSelObj.sel,'ElEl')
MuMuSelObj.sel = self.beforeJetselection(MuMuSelObj.sel,'MuMu')
ElMuSelObj.sel = self.beforeJetselection(ElMuSelObj.sel,'ElMu')
#----- Jet selection -----#
# Since the selections in one line, we can use the non copy option of the selection to modify the selection object internally
if any([self.args.__dict__[item] for item in ["Ak4","Resolved0Btag","Resolved1Btag","Resolved2Btag"]]):
makeAtLeastTwoAk4JetSelection(self,selObj,use_dd=False)
if any([self.args.__dict__[item] for item in ["Ak8","Boosted0Btag","Boosted1Btag"]]):
makeAtLeastOneAk8JetSelection(self,selObj,use_dd=False)
if self.args.Resolved0Btag:
makeExclusiveResolvedNoBtagSelection(self,selObj,use_dd=False)
if self.args.Resolved1Btag:
makeExclusiveResolvedOneBtagSelection(self,selObj,use_dd=False)
if self.args.Resolved2Btag:
makeExclusiveResolvedTwoBtagsSelection(self,selObj,use_dd=False)
if self.args.Boosted0Btag:
makeInclusiveBoostedNoBtagSelection(self,selObj,use_dd=False)
if self.args.Boosted1Btag:
makeInclusiveBoostedOneBtagSelection(self,selObj,use_dd=False)
else:
noSel = self.beforeJetselection(noSel)
def getVariation(sf, variation):
from bamboo.treeoperations import adaptArg
sf = adaptArg(sf)
toChange = [sf]
clNds = []
sf_v = sf.clone(select=toChange.__contains__,selClones=clNds)
assert clNds
for nd in clNds:
nd.changeVariation(variation)
return sf_v.result
#---------------------------------------------------------------------------------------#
# Synchronization tree #
#---------------------------------------------------------------------------------------#
if self.args.Synchronization:
if self.args.analysis == 'res':
raise RuntimeError("This part of the Skimmer is not planned for resonant")
# Event variables #
varsToKeep["event"] = None # Already in tree
varsToKeep["run"] = None # Already in tree
varsToKeep["ls"] = t.luminosityBlock
varsToKeep["n_presel_mu"] = op.static_cast("UInt_t",op.rng_len(self.muonsPreSel))
varsToKeep["n_fakeablesel_mu"] = op.static_cast("UInt_t",op.rng_len(self.muonsFakeSel))
varsToKeep["n_mvasel_mu"] = op.static_cast("UInt_t",op.rng_len(self.muonsTightSel))
varsToKeep["n_presel_ele"] = op.static_cast("UInt_t",op.rng_len(self.electronsPreSel))
varsToKeep["n_fakeablesel_ele"] = op.static_cast("UInt_t",op.rng_len(self.electronsFakeSel))
varsToKeep["n_mvasel_ele"] = op.static_cast("UInt_t",op.rng_len(self.electronsTightSel))
varsToKeep["n_presel_ak4Jet"] = op.static_cast("UInt_t",op.rng_len(self.ak4Jets))
varsToKeep["n_presel_ak8Jet"] = op.static_cast("UInt_t",op.rng_len(self.ak8Jets))
varsToKeep["n_presel_ak4JetVBF"]= op.static_cast("UInt_t",op.rng_len(self.VBFJetsPreSel))
varsToKeep["n_presel_ak4JetVBF_postLepClean"] = op.static_cast("UInt_t",op.rng_len(self.VBFJets))
if self.args.Resolved0Btag or self.args.Resolved1Btag or self.args.Resolved2Btag:
varsToKeep["n_presel_ak4JetVBF_postJetClean"] = op.static_cast("UInt_t",op.rng_len(self.VBFJetsResolved))
varsToKeep["n_presel_ak4JetVBFpairs"] = op.static_cast("UInt_t",op.rng_len(self.VBFJetPairsResolved)>0)
if self.args.Boosted0Btag or self.args.Boosted1Btag:
varsToKeep["n_presel_ak4JetVBF_postJetClean"] = op.static_cast("UInt_t",op.rng_len(self.VBFJetsBoosted))
varsToKeep["n_presel_ak4JetVBFpairs"] = op.static_cast("UInt_t",op.rng_len(self.VBFJetPairsBoosted)>0)
varsToKeep["n_medium_ak4BJet"] = op.static_cast("UInt_t",op.rng_len(self.ak4BJets))
varsToKeep["n_medium_ak8BJet"] = op.static_cast("UInt_t",op.rng_len(self.ak8BJets))
varsToKeep["is_SR"] = op.static_cast("UInt_t",op.OR(op.rng_len(self.ElElTightSel)>=1,
op.rng_len(self.MuMuTightSel)>=1,
op.rng_len(self.ElMuTightSel)>=1))
varsToKeep["is_FR"] = op.c_bool(self.args.FakeCR)
if self.args.Channel == 'ElEl':
varsToKeep["is_ee"] = op.c_bool(True)
varsToKeep["is_mm"] = op.c_bool(False)
varsToKeep["is_em"] = op.c_bool(False)
if self.args.Channel == 'MuMu':
varsToKeep["is_ee"] = op.c_bool(False)
varsToKeep["is_mm"] = op.c_bool(True)
varsToKeep["is_em"] = op.c_bool(False)
if self.args.Channel == 'ElMu':
varsToKeep["is_ee"] = op.c_bool(False)
varsToKeep["is_mm"] = op.c_bool(False)
varsToKeep["is_em"] = op.c_bool(True)
varsToKeep["is_resolved"] = op.static_cast("UInt_t",op.AND(op.rng_len(self.ak4BJets)>=1,op.rng_len(self.ak8BJets)==0))
varsToKeep["is_boosted"] = op.static_cast("UInt_t",op.AND(op.rng_len(self.ak8BJets)>0))
varsToKeep['resolved_tag'] = op.static_cast("UInt_t",op.AND(op.rng_len(self.ak4BJets)>=1,op.rng_len(self.ak8BJets)==0))
varsToKeep['boosted_tag'] = op.static_cast("UInt_t",op.AND(op.rng_len(self.ak8BJets)>0))
# Triggers #
varsToKeep["triggers_SingleElectron"] = op.OR(*self.triggersPerPrimaryDataset['SingleElectron'])
varsToKeep["triggers_SingleMuon"] = op.OR(*self.triggersPerPrimaryDataset['SingleMuon'])
varsToKeep["triggers_DoubleElectron"] = op.OR(*self.triggersPerPrimaryDataset['DoubleEGamma'])
varsToKeep["triggers_DoubleMuon"] = op.OR(*self.triggersPerPrimaryDataset['DoubleMuon'])
varsToKeep["triggers_MuonElectron"] = op.OR(*self.triggersPerPrimaryDataset['MuonEG'])
# Muons #
for i in range(1,3): # 2 leading muons
varsToKeep["mu{}_pt".format(i)] = op.switch(op.rng_len(self.muonsPreSel) >= i, self.muonsPreSel[i-1].pt, op.c_float(-9999., "float"))
varsToKeep["mu{}_eta".format(i)] = op.switch(op.rng_len(self.muonsPreSel) >= i, self.muonsPreSel[i-1].eta, op.c_float(-9999.))
varsToKeep["mu{}_phi".format(i)] = op.switch(op.rng_len(self.muonsPreSel) >= i, self.muonsPreSel[i-1].phi, op.c_float(-9999.))
varsToKeep["mu{}_E".format(i)] = op.switch(op.rng_len(self.muonsPreSel) >= i, self.muonsPreSel[i-1].p4.E(), op.c_float(-9999., "float"))
varsToKeep["mu{}_charge".format(i)] = op.switch(op.rng_len(self.muonsPreSel) >= i, self.muonsPreSel[i-1].charge, op.c_int(-9999.))
varsToKeep["mu{}_conept".format(i)] = op.switch(op.rng_len(self.muonsPreSel) >= i, self.muon_conept[self.muonsPreSel[i-1].idx], op.c_float(-9999.))
varsToKeep["mu{}_miniRelIso".format(i)] = op.switch(op.rng_len(self.muonsPreSel) >= i, self.muonsPreSel[i-1].miniPFRelIso_all, op.c_float(-9999.))
varsToKeep["mu{}_PFRelIso04".format(i)] = op.switch(op.rng_len(self.muonsPreSel) >= i, self.muonsPreSel[i-1].pfRelIso04_all, op.c_float(-9999.))
varsToKeep["mu{}_jetNDauChargedMVASel".format(i)] = op.c_float(-9999.)
varsToKeep["mu{}_jetPtRel".format(i)] = op.switch(op.rng_len(self.muonsPreSel) >= i, self.muonsPreSel[i-1].jetPtRelv2, op.c_float(-9999.))
varsToKeep["mu{}_jetRelIso".format(i)] = op.switch(op.rng_len(self.muonsPreSel) >= i, self.muonsPreSel[i-1].jetRelIso, op.c_float(-9999.))
if self.inclusive_sel:
varsToKeep["mu{}_jetDeepJet".format(i)] = op.switch(op.rng_len(self.muonsPreSel) >= i, self.muonsPreSel[i-1].jet.btagDeepFlavB, op.c_float(-9999.))
else:
varsToKeep["mu{}_jetDeepJet".format(i)] = op.c_float(-9999.)
varsToKeep["mu{}_sip3D".format(i)] = op.switch(op.rng_len(self.muonsPreSel) >= i, self.muonsPreSel[i-1].sip3d, op.c_float(-9999.))
varsToKeep["mu{}_dxy".format(i)] = op.switch(op.rng_len(self.muonsPreSel) >= i, self.muonsPreSel[i-1].dxy, op.c_float(-9999.))
varsToKeep["mu{}_dxyAbs".format(i)] = op.switch(op.rng_len(self.muonsPreSel) >= i, op.abs(self.muonsPreSel[i-1].dxy), op.c_float(-9999.))
varsToKeep["mu{}_dz".format(i)] = op.switch(op.rng_len(self.muonsPreSel) >= i, self.muonsPreSel[i-1].dz, op.c_float(-9999.))
varsToKeep["mu{}_segmentCompatibility".format(i)] = op.switch(op.rng_len(self.muonsPreSel) >= i, self.muonsPreSel[i-1].segmentComp, op.c_float(-9999.))
varsToKeep["mu{}_leptonMVA".format(i)] = op.switch(op.rng_len(self.muonsPreSel) >= i, self.muonsPreSel[i-1].mvaTTH, op.c_float(-9999.))
varsToKeep["mu{}_mediumID".format(i)] = op.switch(op.rng_len(self.muonsPreSel) >= i, self.muonsPreSel[i-1].mediumId, op.c_float(-9999.,"Bool_t"))
varsToKeep["mu{}_dpt_div_pt".format(i)] = op.switch(op.rng_len(self.muonsPreSel) >= i, self.muonsPreSel[i-1].tunepRelPt, op.c_float(-9999.)) # Not sure
varsToKeep["mu{}_isfakeablesel".format(i)] = op.switch(op.rng_len(self.muonsPreSel) >= i, op.switch(self.lambda_muonFakeSel(self.muonsPreSel[i-1]), op.c_int(1), op.c_int(0)), op.c_int(-9999))
varsToKeep["mu{}_ismvasel".format(i)] = op.switch(op.rng_len(self.muonsPreSel) >= i, op.switch(op.AND(self.lambda_muonTightSel(self.muonsPreSel[i-1]), self.lambda_muonFakeSel(self.muonsPreSel[i-1])), op.c_int(1), op.c_int(0)), op.c_int(-9999)) # mvasel encompasses fakeablesel
if self.is_MC:
varsToKeep["mu{}_isGenMatched".format(i)] = op.switch(op.rng_len(self.muonsPreSel) >= i, op.switch(self.lambda_is_matched(self.muonsPreSel[i-1]), op.c_int(1), op.c_int(0)), op.c_int(-9999))
varsToKeep["mu{}_genPartFlav".format(i)] = op.switch(op.rng_len(self.muonsPreSel) >= i, self.muonsPreSel[i-1].genPartFlav, op.c_int(-9999))
varsToKeep["mu{}_looseSF".format(i)] = op.switch(op.rng_len(self.muonsPreSel) >= i, reduce(mul,self.lambda_MuonLooseSF(self.muonsPreSel[i-1])), op.c_int(-9999))
varsToKeep["mu{}_tightSF".format(i)] = op.switch(op.rng_len(self.muonsPreSel) >= i, reduce(mul,self.lambda_MuonTightSF(self.muonsPreSel[i-1])), op.c_int(-9999))
varsToKeep["mu{}_FR".format(i)] = op.switch(op.rng_len(self.muonsPreSel) >= i, self.lambda_FR_mu(self.muonsPreSel[i-1]), op.c_int(-9999))
varsToKeep["mu{}_FRcorr".format(i)] = op.switch(op.rng_len(self.muonsPreSel) >= i, self.lambda_FRcorr_mu(self.muonsPreSel[i-1]), op.c_int(-9999))
varsToKeep["mu{}_FF".format(i)] = op.switch(op.rng_len(self.muonsPreSel) >= i, self.lambda_FF_mu(self.muonsPreSel[i-1]), op.c_int(-9999))
#for syst in self.lambda_FR_mu(self.muonsPreSel[i-1]).op.varMap.keys():
# varsToKeep["mu{}_FR_{}".format(i,syst)] = op.switch(op.rng_len(self.muonsPreSel) >= i, self.lambda_FR_mu(self.muonsPreSel[i-1]).op.varMap[syst].result,op.c_int(-9999))
#for idx,muonFR in enumerate(self.muonFRList):
# varsToKeep["mu{}_FR{}".format(i,idx)] = op.switch(op.rng_len(self.muonsPreSel) >= i, muonFR(self.muonsPreSel[i-1]),op.c_int(-9999))
# varsToKeep["mu{}_FR{}up".format(i,idx)] = op.switch(op.rng_len(self.muonsPreSel) >= i, getVariation(muonFR(self.muonsPreSel[i-1]),muonFR._systName+'up'), op.c_int(-9999))
# varsToKeep["mu{}_FR{}down".format(i,idx)] = op.switch(op.rng_len(self.muonsPreSel) >= i, getVariation(muonFR(self.muonsPreSel[i-1]),muonFR._systName+'down'), op.c_int(-9999))
# Electrons #
for i in range(1,3): # 2 leading electrons
varsToKeep["ele{}_pt".format(i)] = op.switch(op.rng_len(self.electronsPreSel) >= i, self.electronsPreSel[i-1].pt, op.c_float(-9999.))
varsToKeep["ele{}_eta".format(i)] = op.switch(op.rng_len(self.electronsPreSel) >= i, self.electronsPreSel[i-1].eta, op.c_float(-9999.))
varsToKeep["ele{}_phi".format(i)] = op.switch(op.rng_len(self.electronsPreSel) >= i, self.electronsPreSel[i-1].phi, op.c_float(-9999.))
varsToKeep["ele{}_E".format(i)] = op.switch(op.rng_len(self.electronsPreSel) >= i, self.electronsPreSel[i-1].p4.E(), op.c_float(-9999.,))
varsToKeep["ele{}_charge".format(i)] = op.switch(op.rng_len(self.electronsPreSel) >= i, self.electronsPreSel[i-1].charge, op.c_int(-9999.))
varsToKeep["ele{}_conept".format(i)] = op.switch(op.rng_len(self.electronsPreSel) >= i, self.electron_conept[self.electronsPreSel[i-1].idx], op.c_float(-9999.))
varsToKeep["ele{}_miniRelIso".format(i)] = op.switch(op.rng_len(self.electronsPreSel) >= i, self.electronsPreSel[i-1].miniPFRelIso_all, op.c_float(-9999.))
varsToKeep["ele{}_PFRelIso03".format(i)] = op.switch(op.rng_len(self.electronsPreSel) >= i, self.electronsPreSel[i-1].pfRelIso03_all, op.c_float(-9999.)) # Iso03, Iso04 not in NanoAOD
varsToKeep["ele{}_jetNDauChargedMVASel".format(i)] = op.c_float(-9999.)
varsToKeep["ele{}_jetPtRel".format(i)] = op.switch(op.rng_len(self.electronsPreSel) >= i, self.electronsPreSel[i-1].jetPtRelv2, op.c_float(-9999.))
varsToKeep["ele{}_jetRelIso".format(i)] = op.switch(op.rng_len(self.electronsPreSel) >= i, self.electronsPreSel[i-1].jetRelIso, op.c_float(-9999.))
if self.inclusive_sel:
varsToKeep["mu{}_jetDeepJet".format(i)] = op.switch(op.rng_len(self.electronsPreSel) >= i, self.electronsPreSel[i-1].jet.btagDeepFlavB, op.c_float(-9999.))
else:
varsToKeep["mu{}_jetDeepJet".format(i)] = op.c_float(-9999.)
varsToKeep["ele{}_sip3D".format(i)] = op.switch(op.rng_len(self.electronsPreSel) >= i, self.electronsPreSel[i-1].sip3d, op.c_float(-9999.))
varsToKeep["ele{}_dxy".format(i)] = op.switch(op.rng_len(self.electronsPreSel) >= i, self.electronsPreSel[i-1].dxy, op.c_float(-9999.))
varsToKeep["ele{}_dxyAbs".format(i)] = op.switch(op.rng_len(self.electronsPreSel) >= i, op.abs(self.electronsPreSel[i-1].dxy), op.c_float(-9999.))
varsToKeep["ele{}_dz".format(i)] = op.switch(op.rng_len(self.electronsPreSel) >= i, self.electronsPreSel[i-1].dz, op.c_float(-9999.))
varsToKeep["ele{}_ntMVAeleID".format(i)] = op.switch(op.rng_len(self.electronsPreSel) >= i, self.electronsPreSel[i-1].mvaFall17V2noIso, op.c_float(-9999.))
varsToKeep["ele{}_leptonMVA".format(i)] = op.switch(op.rng_len(self.electronsPreSel) >= i, self.electronsPreSel[i-1].mvaTTH, op.c_float(-9999.))
varsToKeep["ele{}_passesConversionVeto".format(i)] = op.switch(op.rng_len(self.electronsPreSel) >= i, self.electronsPreSel[i-1].convVeto, op.c_float(-9999.,"Bool_t"))
varsToKeep["ele{}_nMissingHits".format(i)] = op.switch(op.rng_len(self.electronsPreSel) >= i, self.electronsPreSel[i-1].lostHits, op.c_float(-9999.,"UChar_t"))
varsToKeep["ele{}_sigmaEtaEta".format(i)] = op.switch(op.rng_len(self.electronsPreSel) >= i, self.electronsPreSel[i-1].sieie, op.c_float(-9999.))
varsToKeep["ele{}_HoE".format(i)] = op.switch(op.rng_len(self.electronsPreSel) >= i, self.electronsPreSel[i-1].hoe, op.c_float(-9999.))
varsToKeep["ele{}_OoEminusOoP".format(i)] = op.switch(op.rng_len(self.electronsPreSel) >= i, self.electronsPreSel[i-1].eInvMinusPInv, op.c_float(-9999.))
varsToKeep["ele{}_isfakeablesel".format(i)] = op.switch(op.rng_len(self.electronsPreSel) >= i, op.switch(self.lambda_electronFakeSel(self.electronsPreSel[i-1]), op.c_int(1), op.c_int(0)), op.c_int(-9999))
varsToKeep["ele{}_ismvasel".format(i)] = op.switch(op.rng_len(self.electronsPreSel) >= i, op.switch(op.AND(self.lambda_electronTightSel(self.electronsPreSel[i-1]), self.lambda_electronFakeSel(self.electronsPreSel[i-1])), op.c_int(1), op.c_int(0)), op.c_int(-9999)) # mvasel encompasses fakeablesel
if self.is_MC:
varsToKeep["ele{}_isGenMatched".format(i)] = op.switch(op.rng_len(self.electronsPreSel) >= i, op.switch(self.lambda_is_matched(self.electronsPreSel[i-1]), op.c_int(1), op.c_int(0)), op.c_int(-9999))
varsToKeep["ele{}_genPartFlav".format(i)] = op.switch(op.rng_len(self.electronsPreSel) >= i, self.electronsPreSel[i-1].genPartFlav, op.c_int(-9999))
varsToKeep["ele{}_looseSF".format(i)] = op.switch(op.rng_len(self.electronsPreSel) >= i, reduce(mul,self.lambda_ElectronLooseSF(self.electronsPreSel[i-1])), op.c_int(-9999))
varsToKeep["ele{}_tightSF".format(i)] = op.switch(op.rng_len(self.electronsPreSel) >= i, reduce(mul,self.lambda_ElectronTightSF(self.electronsPreSel[i-1])), op.c_int(-9999))
varsToKeep["ele{}_deltaEtaSC".format(i)] = op.switch(op.rng_len(self.electronsPreSel) >= i, self.electronsPreSel[i-1].deltaEtaSC, op.c_int(-9999))
varsToKeep["ele{}_FR".format(i)] = op.switch(op.rng_len(self.electronsPreSel) >= i, self.lambda_FR_el(self.electronsPreSel[i-1]), op.c_int(-9999))
varsToKeep["ele{}_FRcorr".format(i)] = op.switch(op.rng_len(self.electronsPreSel) >= i, self.lambda_FRcorr_el(self.electronsPreSel[i-1]), op.c_int(-9999))
varsToKeep["ele{}_FF".format(i)] = op.switch(op.rng_len(self.electronsPreSel) >= i, self.lambda_FF_el(self.electronsPreSel[i-1]), op.c_int(-9999))
# for syst in self.lambda_FR_el(self.electronsPreSel[i-1]).op.varMap.keys():
# varsToKeep["ele{}_FR_{}".format(i,syst)] = op.switch(op.rng_len(self.electronsPreSel) >= i, self.lambda_FR_el(self.electronsPreSel[i-1]).op.varMap[syst].result,op.c_int(-9999))
# AK4 Jets #
for i in range(1,5): # 4 leading jets
varsToKeep["ak4Jet{}_pt".format(i)] = op.switch(op.rng_len(self.ak4Jets) >= i, self.ak4Jets[i-1].pt, op.c_float(-9999.))
varsToKeep["ak4Jet{}_eta".format(i)] = op.switch(op.rng_len(self.ak4Jets) >= i, self.ak4Jets[i-1].eta, op.c_float(-9999.))
varsToKeep["ak4Jet{}_phi".format(i)] = op.switch(op.rng_len(self.ak4Jets) >= i, self.ak4Jets[i-1].phi, op.c_float(-9999.))
varsToKeep["ak4Jet{}_E".format(i)] = op.switch(op.rng_len(self.ak4Jets) >= i, self.ak4Jets[i-1].p4.E(), op.c_float(-9999.))
varsToKeep["ak4Jet{}_CSV".format(i)] = op.switch(op.rng_len(self.ak4Jets) >= i, self.ak4Jets[i-1].btagDeepFlavB, op.c_float(-9999.))
if self.is_MC:
varsToKeep["ak4Jet{}_hadronFlavour".format(i)] = op.switch(op.rng_len(self.ak4Jets) >= i, self.ak4Jets[i-1].hadronFlavour, op.c_float(-9999.))
varsToKeep["ak4Jet{}_btagSF".format(i)] = op.switch(op.rng_len(self.ak4Jets) >= i, self.DeepJetDiscReshapingSF(self.ak4Jets[i-1]), op.c_float(-9999.))
varsToKeep["ak4Jet{}_puid_eff".format(i)] = op.switch(op.rng_len(self.ak4Jets) >= i, self.jetpuid_mc_eff(self.ak4Jets[i-1]), op.c_float(-9999.))
varsToKeep["ak4Jet{}_puid_sfeff".format(i)] = op.switch(op.rng_len(self.ak4Jets) >= i, self.jetpuid_sf_eff(self.ak4Jets[i-1]), op.c_float(-9999.))
varsToKeep["ak4Jet{}_puid_mis".format(i)] = op.switch(op.rng_len(self.ak4Jets) >= i, self.jetpuid_mc_mis(self.ak4Jets[i-1]), op.c_float(-9999.))
varsToKeep["ak4Jet{}_puid_sfmis".format(i)] = op.switch(op.rng_len(self.ak4Jets) >= i, self.jetpuid_sf_mis(self.ak4Jets[i-1]), op.c_float(-9999.))
# VBF Jets #
for i in range(1,6): # 5 leading jets
varsToKeep["ak4JetVBF{}_pt".format(i)] = op.switch(op.rng_len(self.VBFJetsPreSel) >= i, self.VBFJetsPreSel[i-1].pt, op.c_float(-9999.))
varsToKeep["ak4JetVBF{}_eta".format(i)] = op.switch(op.rng_len(self.VBFJetsPreSel) >= i, self.VBFJetsPreSel[i-1].eta, op.c_float(-9999.))
varsToKeep["ak4JetVBF{}_phi".format(i)] = op.switch(op.rng_len(self.VBFJetsPreSel) >= i, self.VBFJetsPreSel[i-1].phi, op.c_float(-9999.))
varsToKeep["ak4JetVBF{}_E".format(i)] = op.switch(op.rng_len(self.VBFJetsPreSel) >= i, self.VBFJetsPreSel[i-1].p4.E(), op.c_float(-9999.))
varsToKeep["ak4JetVBF{}_CSV".format(i)] = op.switch(op.rng_len(self.VBFJetsPreSel) >= i, self.VBFJetsPreSel[i-1].btagDeepFlavB, op.c_float(-9999.))
if self.is_MC:
varsToKeep["ak4JetVBF{}_btagSF".format(i)] = op.switch(op.rng_len(self.VBFJetsPreSel) >= i, self.DeepJetDiscReshapingSF(self.VBFJetsPreSel[i-1]), op.c_float(-9999.))
if self.args.Resolved0Btag or self.args.Resolved1Btag or self.args.Resolved2Btag:
VBFJetPair = self.VBFJetPairsResolved
if self.args.Boosted0Btag or self.args.Boosted1Btag:
VBFJetPair = self.VBFJetPairsBoosted
if self.args.Resolved0Btag or self.args.Resolved1Btag or self.args.Resolved2Btag or self.args.Boosted0Btag or self.args.Boosted1Btag:
varsToKeep["ak4JetVBFPair1_pt"] = op.switch(op.rng_len(VBFJetPair) >= 1, VBFJetPair[0][0].pt, op.c_float(-9999.))
varsToKeep["ak4JetVBFPair1_eta"] = op.switch(op.rng_len(VBFJetPair) >= 1, VBFJetPair[0][0].eta, op.c_float(-9999.))
varsToKeep["ak4JetVBFPair1_phi"] = op.switch(op.rng_len(VBFJetPair) >= 1, VBFJetPair[0][0].phi, op.c_float(-9999.))
varsToKeep["ak4JetVBFPair1_E"] = op.switch(op.rng_len(VBFJetPair) >= 1, VBFJetPair[0][0].p4.E(), op.c_float(-9999.))
varsToKeep["ak4JetVBFPair1_CSV"] = op.switch(op.rng_len(VBFJetPair) >= 1, VBFJetPair[0][0].btagDeepFlavB, op.c_float(-9999.))
if self.is_MC:
varsToKeep["ak4JetVBFPair1_btagSF"] = op.switch(op.rng_len(VBFJetPair) >= 1, self.DeepJetDiscReshapingSF(VBFJetPair[0][0]), op.c_float(-9999.))
varsToKeep["ak4JetVBFPair2_pt"] = op.switch(op.rng_len(VBFJetPair) >= 1, VBFJetPair[0][1].pt, op.c_float(-9999.))
varsToKeep["ak4JetVBFPair2_eta"] = op.switch(op.rng_len(VBFJetPair) >= 1, VBFJetPair[0][1].eta, op.c_float(-9999.))
varsToKeep["ak4JetVBFPair2_phi"] = op.switch(op.rng_len(VBFJetPair) >= 1, VBFJetPair[0][1].phi, op.c_float(-9999.))
varsToKeep["ak4JetVBFPair2_E"] = op.switch(op.rng_len(VBFJetPair) >= 1, VBFJetPair[0][1].p4.E(), op.c_float(-9999.))
varsToKeep["ak4JetVBFPair2_CSV"] = op.switch(op.rng_len(VBFJetPair) >= 1, VBFJetPair[0][1].btagDeepFlavB, op.c_float(-9999.))
if self.is_MC:
varsToKeep["ak4JetVBFPair2_btagSF"] = op.switch(op.rng_len(VBFJetPair) >= 1, self.DeepJetDiscReshapingSF(VBFJetPair[0][1]), op.c_float(-9999.))
# AK8 Jets #
for i in range(1,3): # 2 leading fatjets
varsToKeep["ak8Jet{}_pt".format(i)] = op.switch(op.rng_len(self.ak8Jets) >= i, self.ak8Jets[i-1].pt, op.c_float(-9999.))
varsToKeep["ak8Jet{}_eta".format(i)] = op.switch(op.rng_len(self.ak8Jets) >= i, self.ak8Jets[i-1].eta, op.c_float(-9999.))
varsToKeep["ak8Jet{}_phi".format(i)] = op.switch(op.rng_len(self.ak8Jets) >= i, self.ak8Jets[i-1].phi, op.c_float(-9999.))
varsToKeep["ak8Jet{}_E".format(i)] = op.switch(op.rng_len(self.ak8Jets) >= i, self.ak8Jets[i-1].p4.E(), op.c_float(-9999.))
varsToKeep["ak8Jet{}_msoftdrop".format(i)] = op.switch(op.rng_len(self.ak8Jets) >= i, self.ak8Jets[i-1].msoftdrop, op.c_float(-9999.))
varsToKeep["ak8Jet{}_tau1".format(i)] = op.switch(op.rng_len(self.ak8Jets) >= i, self.ak8Jets[i-1].tau1, op.c_float(-9999.))
varsToKeep["ak8Jet{}_tau2".format(i)] = op.switch(op.rng_len(self.ak8Jets) >= i, self.ak8Jets[i-1].tau2, op.c_float(-9999.))
varsToKeep["ak8Jet{}_subjet0_pt".format(i)] = op.switch(op.rng_len(self.ak8Jets) >= i, self.ak8Jets[i-1].subJet1.pt, op.c_float(-9999.))
varsToKeep["ak8Jet{}_subjet0_eta".format(i)] = op.switch(op.rng_len(self.ak8Jets) >= i, self.ak8Jets[i-1].subJet1.eta, op.c_float(-9999.))
varsToKeep["ak8Jet{}_subjet0_phi".format(i)] = op.switch(op.rng_len(self.ak8Jets) >= i, self.ak8Jets[i-1].subJet1.phi, op.c_float(-9999.))
varsToKeep["ak8Jet{}_subjet0_CSV".format(i)] = op.switch(op.rng_len(self.ak8Jets) >= i, self.ak8Jets[i-1].subJet1.btagDeepB, op.c_float(-9999.))
varsToKeep["ak8Jet{}_subjet1_pt".format(i)] = op.switch(op.rng_len(self.ak8Jets) >= i, self.ak8Jets[i-1].subJet2.pt, op.c_float(-9999.))
varsToKeep["ak8Jet{}_subjet1_eta".format(i)] = op.switch(op.rng_len(self.ak8Jets) >= i, self.ak8Jets[i-1].subJet2.eta, op.c_float(-9999.))
varsToKeep["ak8Jet{}_subjet1_phi".format(i)] = op.switch(op.rng_len(self.ak8Jets) >= i, self.ak8Jets[i-1].subJet2.phi, op.c_float(-9999.))
varsToKeep["ak8Jet{}_subjet1_CSV".format(i)] = op.switch(op.rng_len(self.ak8Jets) >= i, self.ak8Jets[i-1].subJet2.btagDeepB, op.c_float(-9999.))
# MET #
varsToKeep["PFMET"] = self.corrMET.pt
varsToKeep["PFMETphi"] = self.corrMET.phi
varsToKeep["met1_E"] = self.corrMET.p4.E()
varsToKeep["met1_pt"] = self.corrMET.pt
varsToKeep["met1_eta"] = self.corrMET.eta
varsToKeep["met1_phi"] = self.corrMET.phi
# VBF pair #
if self.inclusive_sel:
varsToKeep["vbf_m_jj"] = op.c_float(-9999.)
varsToKeep["vbf_dEta_jj"] = op.c_float(-9999.)
else:
if self.args.Resolved0Btag or self.args.Resolved1Btag or self.args.Resolved2Btag:
varsToKeep["vbf_m_jj"] = op.switch(op.rng_len(self.VBFJetPairsResolved) >= 1, op.invariant_mass(self.VBFJetPairsResolved[0][0].p4,self.VBFJetPairsResolved[0][1].p4) , op.c_float(-9999.))
varsToKeep["vbf_pair_mass"] = op.switch(op.rng_len(self.VBFJetPairsResolved) >= 1, op.invariant_mass(self.VBFJetPairsResolved[0][0].p4,self.VBFJetPairsResolved[0][1].p4) , op.c_float(-9999.))
varsToKeep["vbf_dEta_jj"] = op.switch(op.rng_len(self.VBFJetPairsResolved) >= 1, op.abs(self.VBFJetPairsResolved[0][0].eta-self.VBFJetPairsResolved[0][1].eta), op.c_float(-9999.))
varsToKeep["vbf_pairs_absdeltaeta"] = op.switch(op.rng_len(self.VBFJetPairsResolved) >= 1, op.abs(self.VBFJetPairsResolved[0][0].eta-self.VBFJetPairsResolved[0][1].eta), op.c_float(-9999.))
if self.args.Boosted0Btag or self.args.Boosted1Btag:
varsToKeep["vbf_m_jj"] = op.switch(op.rng_len(self.VBFJetPairsBoosted) >= 1, op.invariant_mass(self.VBFJetPairsBoosted[0][0].p4,self.VBFJetPairsBoosted[0][1].p4) , op.c_float(-9999.))
varsToKeep["vbf_pair_mass"] = op.switch(op.rng_len(self.VBFJetPairsBoosted) >= 1, op.invariant_mass(self.VBFJetPairsBoosted[0][0].p4,self.VBFJetPairsBoosted[0][1].p4) , op.c_float(-9999.))
varsToKeep["vbf_dEta_jj"] = op.switch(op.rng_len(self.VBFJetPairsBoosted) >= 1, op.abs(self.VBFJetPairsBoosted[0][0].eta-self.VBFJetPairsBoosted[0][1].eta), op.c_float(-9999.))
varsToKeep["vbf_pairs_absdeltaeta"] = op.switch(op.rng_len(self.VBFJetPairsBoosted) >= 1, op.abs(self.VBFJetPairsBoosted[0][0].eta-self.VBFJetPairsBoosted[0][1].eta), op.c_float(-9999.))
# SF #
if self.is_MC:
electronMuon_cont = op.combine((self.electronsFakeSel, self.muonsFakeSel))
varsToKeep["trigger_SF"] = op.multiSwitch(
(op.AND(op.rng_len(self.electronsTightSel)==1,op.rng_len(self.muonsTightSel)==0) , self.ttH_singleElectron_trigSF(self.electronsTightSel[0])),
(op.AND(op.rng_len(self.electronsTightSel)==0,op.rng_len(self.muonsTightSel)==1) , self.ttH_singleMuon_trigSF(self.muonsTightSel[0])),
(op.AND(op.rng_len(self.electronsTightSel)>=2,op.rng_len(self.muonsTightSel)==0) , self.lambda_ttH_doubleElectron_trigSF(self.electronsTightSel)),
(op.AND(op.rng_len(self.electronsTightSel)==0,op.rng_len(self.muonsTightSel)>=2) , self.lambda_ttH_doubleMuon_trigSF(self.muonsTightSel)),
(op.AND(op.rng_len(self.electronsTightSel)>=1,op.rng_len(self.muonsTightSel)>=1) , self.lambda_ttH_electronMuon_trigSF(electronMuon_cont[0])),
op.c_float(1.))
varsToKeep["weight_trigger_ee_sf"] = op.switch(op.rng_len(self.ElElTightSel)>0,self.lambda_ttH_doubleElectron_trigSF(self.ElElTightSel[0]),op.c_float(1.))
varsToKeep["weight_trigger_mumu_sf"] = op.switch(op.rng_len(self.MuMuTightSel)>0,self.lambda_ttH_doubleMuon_trigSF(self.MuMuTightSel[0]),op.c_float(1.))
varsToKeep["weight_trigger_emu_sf"] = op.switch(op.rng_len(self.ElMuTightSel)>0,self.lambda_ttH_electronMuon_trigSF(self.ElMuTightSel[0]),op.c_float(1.))
varsToKeep["lepton_IDSF"] = op.rng_product(self.electronsFakeSel, lambda el : reduce(mul,self.lambda_ElectronLooseSF(el)+self.lambda_ElectronTightSF(el))) * \
op.rng_product(self.muonsFakeSel, lambda mu : reduce(mul,self.lambda_MuonLooseSF(mu)+self.lambda_MuonTightSF(mu)))
varsToKeep["lepton_IDSF_recoToLoose"] = op.rng_product(self.electronsFakeSel, lambda el : reduce(mul,self.lambda_ElectronLooseSF(el))) * \
op.rng_product(self.muonsFakeSel, lambda mu : reduce(mul,self.lambda_MuonLooseSF(mu)))
varsToKeep["lepton_IDSF_looseToTight"] = op.rng_product(self.electronsFakeSel, lambda el : reduce(mul,self.lambda_ElectronTightSF(el))) * \
op.rng_product(self.muonsFakeSel, lambda mu : reduce(mul,self.lambda_MuonTightSF(mu)))
if not self.inclusive_sel:
if self.args.Channel == "ElEl":
if era == "2016" or era == "2017":
varsToKeep["weight_electron_reco_low"] = op.multiSwitch((op.AND(self.lambda_is_matched(dilepton[0]),dilepton[0].pt<=20.,self.lambda_is_matched(dilepton[1]),dilepton[1].pt<=20.),
self.elLooseRecoPtLt20(dilepton[0])*self.elLooseRecoPtLt20(dilepton[1])),
(op.AND(self.lambda_is_matched(dilepton[0]),dilepton[0].pt<=20.),self.elLooseRecoPtLt20(dilepton[0])),
(op.AND(self.lambda_is_matched(dilepton[1]),dilepton[1].pt<=20.),self.elLooseRecoPtLt20(dilepton[1])),
op.c_float(1.))
varsToKeep["weight_electron_reco_high"] = op.multiSwitch((op.AND(self.lambda_is_matched(dilepton[0]),dilepton[0].pt>20.,self.lambda_is_matched(dilepton[1]),dilepton[1].pt>20.),
self.elLooseRecoPtGt20(dilepton[0])*self.elLooseRecoPtGt20(dilepton[1])),
(op.AND(self.lambda_is_matched(dilepton[0]),dilepton[0].pt>20.),self.elLooseRecoPtGt20(dilepton[0])),
(op.AND(self.lambda_is_matched(dilepton[1]),dilepton[1].pt>20.),self.elLooseRecoPtGt20(dilepton[1])),
op.c_float(1.))
else:
varsToKeep["weight_electron_reco_low"] = op.multiSwitch((op.AND(self.lambda_is_matched(dilepton[0]),self.lambda_is_matched(dilepton[1])),
self.elLooseReco(dilepton[0])*self.elLooseReco(dilepton[1])),
(self.lambda_is_matched(dilepton[0]),self.elLooseReco(dilepton[0])),
(self.lambda_is_matched(dilepton[1]),self.elLooseReco(dilepton[1])),
op.c_float(1.))
varsToKeep["weight_electron_reco_high"] = op.c_float(1.)
varsToKeep["weight_muon_idiso_loose"] = op.c_float(1.)
varsToKeep["weight_electron_id_loose_01"] = op.multiSwitch((op.AND(self.lambda_is_matched(dilepton[0]),self.lambda_is_matched(dilepton[1])),
self.elLooseEff(dilepton[0])*self.elLooseEff(dilepton[1])),
(self.lambda_is_matched(dilepton[0]),self.elLooseEff(dilepton[0])),
(self.lambda_is_matched(dilepton[1]),self.elLooseEff(dilepton[1])),
op.c_float(1.))
varsToKeep["weight_electron_id_loose_02"] = op.multiSwitch((op.AND(self.lambda_is_matched(dilepton[0]),self.lambda_is_matched(dilepton[1])),
self.elLooseId(dilepton[0])*self.elLooseId(dilepton[1])),
(self.lambda_is_matched(dilepton[0]),self.elLooseId(dilepton[0])),
(self.lambda_is_matched(dilepton[1]),self.elLooseId(dilepton[1])),
op.c_float(1.))
varsToKeep["weight_electron_tth_loose"] = self.lambda_ElectronTightSF(dilepton[0])[0] * self.lambda_ElectronTightSF(dilepton[1])[0]
varsToKeep["weight_muon_tth_loose"] = op.c_float(1.)
if self.args.Channel == "MuMu":
varsToKeep["weight_muon_idiso_loose"] = op.multiSwitch((op.AND(self.lambda_is_matched(dilepton[0]),self.lambda_is_matched(dilepton[1])),
self.muLooseId(dilepton[0])*self.muLooseId(dilepton[1])),
(self.lambda_is_matched(dilepton[0]),self.muLooseId(dilepton[0])),
(self.lambda_is_matched(dilepton[1]),self.muLooseId(dilepton[1])),
op.c_float(1.))
if era == "2016" or era == "2017":
varsToKeep["weight_electron_reco_low"] = op.c_float(1.)
varsToKeep["weight_electron_reco_high"] = op.c_float(1.)
else:
varsToKeep["weight_electron_reco_low"] = op.c_float(1.)
varsToKeep["weight_electron_reco_high"] = op.c_float(1.)
varsToKeep["weight_electron_id_loose_01"] = op.c_float(1.)
varsToKeep["weight_electron_id_loose_02"] = op.c_float(1.)
varsToKeep["weight_electron_tth_loose"] = op.c_float(1.)
varsToKeep["weight_muon_tth_loose"] = self.lambda_MuonTightSF(dilepton[0])[0] * self.lambda_MuonTightSF(dilepton[1])[0]
if self.args.Channel == "ElMu":
if era == "2016" or era == "2017":
varsToKeep["weight_electron_reco_low"] = op.switch(op.AND(self.lambda_is_matched(dilepton[0]),dilepton[0].pt<=20.),
self.elLooseRecoPtLt20(dilepton[0]),
op.c_float(1.))
varsToKeep["weight_electron_reco_high"] = op.switch(op.AND(self.lambda_is_matched(dilepton[0]),dilepton[0].pt>20.),
self.elLooseRecoPtGt20(dilepton[0]),
op.c_float(1.))
else:
varsToKeep["weight_electron_reco_low"] = op.c_float(1.)
varsToKeep["weight_electron_reco_high"] = op.switch(self.lambda_is_matched(dilepton[0]),
self.elLooseReco(dilepton[0]),
op.c_float(1.))
varsToKeep["weight_muon_idiso_loose"] = op.switch(self.lambda_is_matched(dilepton[1]),
self.muLooseId(dilepton[1]),
op.c_float(1.))
varsToKeep["weight_electron_id_loose_01"] = op.switch(self.lambda_is_matched(dilepton[0]),
self.elLooseEff(dilepton[0]),
op.c_float(1.))
varsToKeep["weight_electron_id_loose_02"] = op.switch(self.lambda_is_matched(dilepton[0]),
self.elLooseId(dilepton[0]),
op.c_float(1.))
varsToKeep["weight_electron_tth_loose"] = self.lambda_ElectronTightSF(dilepton[0])[0]
varsToKeep["weight_muon_tth_loose"] = self.lambda_MuonTightSF(dilepton[1])[0]
# L1 Prefire #
if era in ["2016","2017"]:
varsToKeep["L1prefire"] = self.L1Prefiring
varsToKeep["weight_l1_ecal_prefiring"] = self.L1Prefiring
else:
varsToKeep["L1prefire"] = op.c_float(-9999.)
varsToKeep["weight_l1_ecal_prefiring"] = op.c_float(-9999.)
# Fake rate #
if self.args.Channel == "ElEl":
varsToKeep["fakeRate"] = self.ElElFakeFactor(self.ElElFakeSel[0])
varsToKeep["weight_fake_electrons"] = op.abs(self.ElElFakeFactor(self.ElElFakeSel[0]))
varsToKeep["weight_fake_muons"] = op.c_float(1.)
varsToKeep["weight_fake_two_non_tight"] = op.static_cast("Float_t",op.sign(self.ElElFakeFactor(self.ElElFakeSel[0])))
if self.args.Channel == "MuMu":
varsToKeep["fakeRate"] = self.MuMuFakeFactor(self.MuMuFakeSel[0])
varsToKeep["weight_fake_electrons"] = op.c_float(1.)
varsToKeep["weight_fake_muons"] = op.abs(self.MuMuFakeFactor(self.MuMuFakeSel[0]))
varsToKeep["weight_fake_two_non_tight"] = op.static_cast("Float_t",op.sign(self.MuMuFakeFactor(self.MuMuFakeSel[0])))
if self.args.Channel == "ElMu":
varsToKeep["fakeRate"] = self.ElMuFakeFactor(self.ElMuFakeSel[0])
varsToKeep["weight_fake_electrons"] = op.switch(self.lambda_electronTightSel(self.ElMuFakeSel[0][0]),
op.c_float(1.),
self.lambda_FF_el(self.ElMuFakeSel[0][0]))
varsToKeep["weight_fake_muons"] = op.switch(self.lambda_muonTightSel(self.ElMuFakeSel[0][1]),
op.c_float(1.),
self.lambda_FF_mu(self.ElMuFakeSel[0][1]))
varsToKeep["weight_fake_two_non_tight"] = op.static_cast("Float_t",op.sign(self.ElMuFakeFactor(self.ElMuFakeSel[0])))
if self.is_MC:
varsToKeep["weight_fake_is_mc"] = op.c_float(-1.)
else:
varsToKeep["weight_fake_is_mc"] = op.c_float(1.)
# PU ID SF #
if self.is_MC:
varsToKeep["PU_jetID_SF"] = self.puid_reweighting
varsToKeep["weight_jet_PUid_efficiency"] = self.puid_reweighting_efficiency
varsToKeep["weight_jet_PUid_mistag"] = self.puid_reweighting_mistag
# Btagging SF #
if self.is_MC:
varsToKeep["btag_SF"] = self.btagAk4SF
varsToKeep["weight_btagWeight"] = self.btagAk4SF
if "BtagRatioWeight" in self.__dict__.keys():
varsToKeep["btag_ratio_SF"] = self.BtagRatioWeight
varsToKeep["weight_btagNorm"] = self.BtagRatioWeight
# PS weights #
if self.is_MC:
varsToKeep["weight_PSWeight_ISR"] = self.psISRSyst
varsToKeep["weight_PSWeight_FSR"] = self.psFSRSyst
# PDF weights #
if self.is_MC:
varsToKeep["weight_scaleWeight"] = self.scaleWeight
varsToKeep["weight_LHEScaleWeight_len"] = op.static_cast("UInt_t",op.rng_len(t.LHEScaleWeight)) if hasattr(t,'LHEScaleWeight') else op.c_float(-9999)
for i in range(0,10):
varsToKeep["weight_LHEScaleWeight_{}".format(i)] = op.switch(op.rng_len(t.LHEScaleWeight)>i, t.LHEScaleWeight[i], op.c_float(-9999)) if hasattr(t,'LHEScaleWeight') else op.c_float(-9999)
# ttbar PT reweighting #
if self.is_MC:
if "group" in sampleCfg and sampleCfg["group"] == 'ttbar':
varsToKeep["topPt_wgt"] = self.ttbar_weight(self.genTop[0],self.genAntitop[0])
# GenVar #
#if 'type' in sampleCfg.keys() and sampleCfg["type"] == "signal":
if 'genh' in self.__dict__.keys():
varsToKeep["nh"] = op.static_cast("UInt_t",op.rng_len(self.genh))
varsToKeep["mHH"] = op.switch(op.rng_len(self.genh)==2, self.mHH, op.c_float(-9999))
varsToKeep["cosHH"] = op.switch(op.rng_len(self.genh)==2, self.cosHH, op.c_float(-9999))
varsToKeep["reweightLO"] = op.switch(op.rng_len(self.genh)==2, self.reweightLO(op.c_float(1.)), op.c_float(-9999))
# Event Weight #
if self.is_MC:
varsToKeep["MC_weight"] = t.genWeight
varsToKeep["PU_weight"] = self.PUWeight
varsToKeep["eventWeight"] = noSel.weight if self.inclusive_sel else selObj.sel.weight
if not self.inclusive_sel:
import mvaEvaluatorDL_nonres
inputsLeps = mvaEvaluatorDL_nonres.returnLeptonsMVAInputs(
self = self,
l1 = dilepton[0],
l2 = dilepton[1],
channel = self.args.Channel)
inputsJets = mvaEvaluatorDL_nonres.returnJetsMVAInputs(
self = self,
jets = self.ak4Jets)
inputsMET = mvaEvaluatorDL_nonres.returnMETMVAInputs(
self = self,
met = self.corrMET)
inputsFatjet = mvaEvaluatorDL_nonres.returnFatjetMVAInputs(
self = self,
fatjets = self.ak8BJets)
inputsHL = mvaEvaluatorDL_nonres.returnHighLevelMVAInputs(
self = self,
l1 = dilepton[0],
l2 = dilepton[1],
met = self.corrMET,
jets = self.ak4Jets,
bjets = self.ak4JetsByBtagScore[:op.min(op.rng_len(self.ak4JetsByBtagScore),op.static_cast("std::size_t",op.c_int(2)))],
electrons = self.electronsFakeSel,
muons = self.muonsFakeSel,
channel = self.args.Channel)
inputsParam = mvaEvaluatorDL_nonres.returnParamMVAInputs(self)
inputsEventNr = mvaEvaluatorDL_nonres.returnEventNrMVAInputs(self,t)
inputsDict = {**inputsLeps,**inputsJets,**inputsMET,**inputsFatjet,**inputsHL,**inputsParam,**inputsEventNr}
for (varname,_,_),var in inputsDict.items():
varsToKeep[varname] = var
path_model = os.path.join(os.path.abspath(os.path.dirname(__file__)),'MachineLearning','ml-models','models','multi-classification','dnn','DL','12','model','model.pb')
nodes = ['GGF','VBF','H', 'DY', 'ST', 'TT', 'TTVX', 'VVV', 'Rare']
input_names = ["lep","jet","fat","met","hl","param","eventnr"]
output_name = "Identity"
if not os.path.exists(path_model):
raise RuntimeError('Could not find model file %s'%path_model)
try:
DNN = op.mvaEvaluator(path_model,mvaType='Tensorflow',otherArgs=(input_names, output_name))
except:
raise RuntimeError('Could not load model %s'%path_model)
inputs = [op.array("double",*mvaEvaluatorDL_nonres.inputStaticCast(inputsLeps,"float")),
op.array("double",*mvaEvaluatorDL_nonres.inputStaticCast(inputsJets,"float")),
op.array("double",*mvaEvaluatorDL_nonres.inputStaticCast(inputsFatjet,"float")),
op.array("double",*mvaEvaluatorDL_nonres.inputStaticCast(inputsMET,"float")),
op.array("double",*mvaEvaluatorDL_nonres.inputStaticCast(inputsHL,"float")),
op.array("double",*mvaEvaluatorDL_nonres.inputStaticCast(inputsParam,"float")),
op.array("long",*mvaEvaluatorDL_nonres.inputStaticCast(inputsEventNr,"long"))]
outputs = DNN(*inputs)
for node, output in zip(nodes,outputs):
varsToKeep[node] = output
# Return #
if self.inclusive_sel:
return noSel, varsToKeep
else:
return selObj.sel, varsToKeep
#---------------------------------------------------------------------------------------#
# Selection tree #
#---------------------------------------------------------------------------------------#
if not self.args.analysis == 'res':
raise RuntimeError("This part of the Skimmer is only for resonant")
import mvaEvaluatorDL_res
if self.args.Channel is None:
raise RuntimeError("You need to specify --Channel")
if self.args.Channel == "ElEl": dilepton = self.ElElTightSel[0]
if self.args.Channel == "MuMu": dilepton = self.MuMuTightSel[0]
if self.args.Channel == "ElMu": dilepton = self.ElMuTightSel[0]
varsToKeep["is_SR"] = op.static_cast("UInt_t",op.OR(op.rng_len(self.ElElTightSel)>0,
op.rng_len(self.MuMuTightSel)>0,
op.rng_len(self.ElMuTightSel)>0))
varsToKeep['is_ee'] = op.static_cast("UInt_t",op.rng_len(self.ElElTightSel)>0)
varsToKeep['is_mm'] = op.static_cast("UInt_t",op.rng_len(self.MuMuTightSel)>0)
varsToKeep['is_em'] = op.static_cast("UInt_t",op.rng_len(self.ElMuTightSel)>0)
l1 = dilepton[0]
l2 = dilepton[1]
# DNN inputs #
inputsAll = mvaEvaluatorDL_res.returnResonantMVAInputs(
self = self,
l1 = dilepton[0],
l2 = dilepton[1],
channel = self.args.Channel,
jets = self.ak4Jets,
fatjets = self.ak8Jets,
bjets = self.ak4JetsByBtagScore[:op.min(op.rng_len(self.ak4JetsByBtagScore),op.static_cast("std::size_t",op.c_int(2)))],
met = self.corrMET,
electrons = self.electronsTightSel,
muons = self.muonsTightSel)
for (varName,_,_), var in inputsAll.items():
if not isinstance(var,list):
varsToKeep[varName] = var
# DNN outputs #
dnn_dir = os.path.join(os.path.abspath(os.path.dirname(__file__)),'MachineLearning','ResonantModels')
path_model_HighMass = os.path.join(dnn_dir,'Resonant_HighMass_Final_512x4_w0p1.pb')
path_model_LowMass = os.path.join(dnn_dir,'Resonant_LowMass_Final_512x4_w1.pb')
input_names_HighMass = []
input_names_LowMass = []
with open(os.path.join(dnn_dir,'Resonant_HighMass_Final_512x4_w0p1_inputs.txt'),'r') as handle:
for line in handle:
input_names_HighMass.append(line.split()[0])
with open(os.path.join(dnn_dir,'Resonant_LowMass_Final_512x4_w1_inputs.txt'),'r') as handle:
for line in handle:
input_names_LowMass.append(line.split()[0])
output_name = "Identity"
print ("DNN model : %s"%path_model_HighMass)
print ("DNN model : %s"%path_model_LowMass)
if not os.path.exists(path_model_HighMass):
raise RuntimeError('Could not find model file %s'%path_model_HighMass)
if not os.path.exists(path_model_LowMass):
raise RuntimeError('Could not find model file %s'%path_model_LowMass)
try:
DNN_HighMass = op.mvaEvaluator(path_model_HighMass,mvaType='Tensorflow',otherArgs=(input_names_HighMass, output_name))
except:
raise RuntimeError('Could not load model %s'%path_model_HighMass)
try:
DNN_LowMass = op.mvaEvaluator(path_model_LowMass,mvaType='Tensorflow',otherArgs=(input_names_LowMass, output_name))
except:
raise RuntimeError('Could not load model %s'%path_model_LowMass)
if self.args.mass is None:
raise RuntimeError('--mass needs to be used')
self.args.mass = self.args.mass[0]
if self.args.mass <= 500:
DNN = DNN_LowMass
input_names = input_names_LowMass
else:
DNN = DNN_HighMass
input_names = input_names_LowMass
inputs = {inpName:val for (inpName,_,_),val in inputsAll.items()}
inputs['param'] = op.c_float(float(self.args.mass))
inputsArr = []
for inpName in input_names:
if inpName not in inputs.keys():
for key in inputs.keys():
if inpName == key.replace('$','').replace(' ','').replace('_',''):
inpName = key
if inpName not in inputs.keys():
raise RuntimeError(f"Input node {inpName} not found in the inputs in bamboo")
inpVal = inputs[inpName]
if inpName == "eventnr":
inpType = "long"
else:
inpType = "float"
if isinstance(inpVal,list):
inpVal = [op.static_cast(inpType,inp) for inp in inpVal]
inputsArr.append(op.array(inpType,*inpVal))
else:
inpVal = op.static_cast(inpType,inpVal)
inputsArr.append(op.array(inpType,inpVal))
nodes = ['DY','GGF','H','Rare','ST','TT','TTVX','VVV']
outputs = DNN(*inputsArr)
for node, output in zip(nodes,outputs):
varsToKeep[node] = output
#----- Additional -----#
#if self.args.Resolved1Btag or self.args.Resolved2Btag:
# varsToKeep["b1_E"] = self.ak4JetsByBtagScore[0].p4.E()
# varsToKeep["b1_Px"] = self.ak4JetsByBtagScore[0].p4.Px()
# varsToKeep["b1_Py"] = self.ak4JetsByBtagScore[0].p4.Py()
# varsToKeep["b1_Pz"] = self.ak4JetsByBtagScore[0].p4.Pz()
# varsToKeep["b2_E"] = self.ak4JetsByBtagScore[1].p4.E()
# varsToKeep["b2_Px"] = self.ak4JetsByBtagScore[1].p4.Px()
# varsToKeep["b2_Py"] = self.ak4JetsByBtagScore[1].p4.Py()
# varsToKeep["b2_Pz"] = self.ak4JetsByBtagScore[1].p4.Pz()
#if self.args.Boosted1Btag:
# varsToKeep["fatbjet_E"] = self.ak8BJets[0].p4.E()
# varsToKeep["fatbjet_Px"] = self.ak8BJets[0].p4.Px()
# varsToKeep["fatbjet_Py"] = self.ak8BJets[0].p4.Py()
# varsToKeep["fatbjet_Pz"] = self.ak8BJets[0].p4.Pz()
# varsToKeep["fatbjet_subjet1_E"] = self.ak8BJets[0].subJet1.p4.E()
# varsToKeep["fatbjet_subjet1_Px"] = self.ak8BJets[0].subJet1.p4.Px()
# varsToKeep["fatbjet_subjet1_Py"] = self.ak8BJets[0].subJet1.p4.Py()
# varsToKeep["fatbjet_subjet1_Pz"] = self.ak8BJets[0].subJet1.p4.Pz()
# varsToKeep["fatbjet_subjet2_E"] = self.ak8BJets[0].subJet2.p4.E()
# varsToKeep["fatbjet_subjet2_Px"] = self.ak8BJets[0].subJet2.p4.Px()
# varsToKeep["fatbjet_subjet2_Py"] = self.ak8BJets[0].subJet2.p4.Py()
# varsToKeep["fatbjet_subjet2_Pz"] = self.ak8BJets[0].subJet2.p4.Pz()
# gen = op.select(t.GenPart,lambda g : op.AND(op.OR(op.abs(g.pdgId) == 1,
# op.abs(g.pdgId) == 2,
# op.abs(g.pdgId) == 3,
# op.abs(g.pdgId) == 4,
# op.abs(g.pdgId) == 5),
# g.statusFlags & ( 0x1 << 13),
# g.pt>=20,
# op.abs(g.eta)<2.4))
#
# ak8_sub1 = self.ak8BJets[0].subJet1
# ak8_sub2 = self.ak8BJets[0].subJet2
# gen_sub1 = op.sort(gen, lambda g : -op.deltaR(g.p4,ak8_sub1.p4))[0]
# gen_sub2 = op.sort(gen, lambda g : -op.deltaR(g.p4,ak8_sub2.p4))[0]
#
# varsToKeep["fatbjet_subjet1_Pt"] = self.ak8BJets[0].subJet1.pt
# varsToKeep["fatbjet_subjet2_Pt"] = self.ak8BJets[0].subJet2.pt
# varsToKeep["gen_subjet1_Pt"] = gen_sub1.pt
# varsToKeep["gen_subjet2_Pt"] = gen_sub2.pt
# varsToKeep["gen_subjet1_pdgId"] = gen_sub1.pdgId
# varsToKeep["gen_subjet2_pdgId"] = gen_sub2.pdgId
#----- HME ----#
varsToKeep["HME"] = HME
varsToKeep["HME_eff"] = HME_eff
#----- Additional variables -----#
if self.is_MC:
varsToKeep["MC_weight"] = t.genWeight
varsToKeep['total_weight'] = selObj.sel.weight
varsToKeep['era'] = op.c_int(int(self.era))
varsToKeep["event"] = None # Already in tree
varsToKeep["run"] = None # Already in tree
varsToKeep["ls"] = t.luminosityBlock
return selObj.sel, varsToKeep
### PostProcess ###
def postProcess(self, taskList, config=None, workdir=None, resultsdir=None):
super(SkimmerNanoHHtobbWWDL, self).postProcess(taskList, config, workdir, resultsdir, forSkimmer=True)