def __init__(self, fname, **kwargs):
kwargs['channel'] = 'etau'
super(ModuleETau,self).__init__(fname,**kwargs)
self.out = TreeProducerETau(fname,self)
# TRIGGERS
jsonfile = os.path.join(datadir,"trigger/tau_triggers_%d.json"%(self.year))
self.trigger = TrigObjMatcher(jsonfile,trigger='SingleElectron',isdata=self.isdata)
self.eleCutPt = self.trigger.ptmins[0]
self.tauCutPt = 20
self.eleCutEta = 2.3
self.tauCutEta = 2.3
# CORRECTIONS
if self.ismc:
self.eleSFs = ElectronSFs(year=self.year) # electron id/iso/trigger SFs
self.tesTool = TauESTool(tauSFVersion[self.year]) # real tau energy scale corrections
self.fesTool = TauFESTool(tauSFVersion[self.year]) # e -> tau fake energy scale
self.tauSFs = TauIDSFTool(tauSFVersion[self.year],'DeepTau2017v2p1VSjet','Tight')
self.etfSFs = TauIDSFTool(tauSFVersion[self.year],'DeepTau2017v2p1VSe', 'VLoose')
self.mtfSFs = TauIDSFTool(tauSFVersion[self.year],'DeepTau2017v2p1VSmu', 'Tight')
# CUTFLOW
self.out.cutflow.addcut('none', "no cut" )
self.out.cutflow.addcut('trig', "trigger" )
self.out.cutflow.addcut('electron', "electron" )
self.out.cutflow.addcut('tau', "tau" )
self.out.cutflow.addcut('pair', "pair" )
self.out.cutflow.addcut('weight', "no cut, weighted", 15 )
self.out.cutflow.addcut('weight_no0PU', "no cut, weighted, PU>0", 16 ) # use for normalization
def printFESTable(year):
testool = TauFESTool(year)
etas = [0.5,2.0]
dmvals = [0,1,10]
for eta in etas:
print(">>> ")
print(">>> TES for eta = %.1f in '%s'"%(eta,year))
print(">>> ")
print(">>> %10s"%('var \ DM')+''.join("%9d"%dm for dm in dmvals))
print(">>> %10s"%("central") +''.join("%9.5f"%testool.getFES(eta,dm,1) for dm in dmvals))
print(">>> %10s"%("up") +''.join("%9.5f"%testool.getFES(eta,dm,1,'Up') for dm in dmvals))
print(">>> %10s"%("down") +''.join("%9.5f"%testool.getFES(eta,dm,1,'Down') for dm in dmvals))
print(">>> ")
def __init__(self, fname, **kwargs):
kwargs['channel'] = 'mutau'
super(ModuleMuTau, self).__init__(fname, **kwargs)
self.out = TreeProducerMuTau(fname, self)
# TRIGGERS
if self.year == 2016:
self.trigger = lambda e: e.HLT_IsoMu22 or e.HLT_IsoMu22_eta2p1 or e.HLT_IsoTkMu22 or e.HLT_IsoTkMu22_eta2p1 #or e.HLT_IsoMu19_eta2p1_LooseIsoPFTau20_SingleL1
self.muonCutPt = lambda e: 23
self.muonCutEta = lambda e: 2.4 if e.HLT_IsoMu22 or e.HLT_IsoTkMu22 else 2.1
elif self.year == 2017:
self.trigger = lambda e: e.HLT_IsoMu24 or e.HLT_IsoMu27 #or e.HLT_IsoMu20_eta2p1_LooseChargedIsoPFTau27_eta2p1_CrossL1
self.muonCutPt = lambda e: 25 if e.HLT_IsoMu24 else 28
self.muonCutEta = lambda e: 2.4
else:
self.trigger = lambda e: e.HLT_IsoMu24 or e.HLT_IsoMu27 #or e.HLT_IsoMu20_eta2p1_LooseChargedIsoPFTau27_eta2p1_CrossL1
self.muonCutPt = lambda e: 25
self.muonCutEta = lambda e: 2.4
self.tauCutPt = 20
self.tauCutEta = 2.3
# CORRECTIONS
if self.ismc:
self.muSFs = MuonSFs(
era=self.era, verb=self.verbosity) # muon id/iso/trigger SFs
self.tesTool = TauESTool(
tauSFVersion[self.year]) # real tau energy scale corrections
self.fesTool = TauFESTool(
tauSFVersion[self.year]) # for mu -> tau fake negligible
self.tauSFs = TauIDSFTool(tauSFVersion[self.year],
'DeepTau2017v2p1VSjet', 'Tight')
self.etfSFs = TauIDSFTool(tauSFVersion[self.year],
'DeepTau2017v2p1VSe', 'VLoose')
self.mtfSFs = TauIDSFTool(tauSFVersion[self.year],
'DeepTau2017v2p1VSmu', 'Tight')
# CUTFLOW
self.out.cutflow.addcut('none', "no cut")
self.out.cutflow.addcut('trig', "trigger")
self.out.cutflow.addcut('muon', "muon")
self.out.cutflow.addcut('tau', "tau")
self.out.cutflow.addcut('pair', "pair")
self.out.cutflow.addcut('weight', "no cut, weighted", 15)
self.out.cutflow.addcut('weight_no0PU', "no cut, weighted, PU>0",
16) # use for normalization
def __init__(self, fname, **kwargs):
kwargs['channel'] = 'mutau'
super(ModuleTauTau, self).__init__(fname, **kwargs)
self.out = TreeProducerTauTau(fname, self)
# TRIGGERS
jsonfile = os.path.join(datadir,
"trigger/tau_triggers_%d.json" % (self.year))
self.trigger = TrigObjMatcher(jsonfile,
trigger='ditau',
isdata=self.isdata)
self.tauCutPt = 40
self.tauCutEta = 2.1
# CORRECTIONS
if self.ismc:
self.trigTool = TauTriggerSFs('tautau', 'Medium', year=self.year)
self.trigTool_tight = TauTriggerSFs('tautau',
'Tight',
year=self.year)
self.tesTool = TauESTool(
tauSFVersion[self.year]) # real tau energy scale
self.fesTool = TauFESTool(
tauSFVersion[self.year]) # e -> tau fake energy scale
self.tauSFs = TauIDSFTool(tauSFVersion[self.year],
'DeepTau2017v2p1VSjet',
'Medium',
dm=True)
self.tauSFs_tight = TauIDSFTool(tauSFVersion[self.year],
'DeepTau2017v2p1VSjet',
'Tight',
dm=True)
self.etfSFs = TauIDSFTool(tauSFVersion[self.year],
'DeepTau2017v2p1VSe', 'VVLoose')
self.mtfSFs = TauIDSFTool(tauSFVersion[self.year],
'DeepTau2017v2p1VSmu', 'Loose')
# CUTFLOW
self.out.cutflow.addcut('none', "no cut")
self.out.cutflow.addcut('trig', "trigger")
self.out.cutflow.addcut('tau', "tau")
self.out.cutflow.addcut('pair', "ditau pair")
self.out.cutflow.addcut('weight', "no cut, weighted", 15)
self.out.cutflow.addcut('weight_no0PU', "no cut, weighted, PU>0",
16) # use for normalization
class ModuleETau(ModuleTauPair):
def __init__(self, fname, **kwargs):
kwargs['channel'] = 'etau'
super(ModuleETau, self).__init__(fname, **kwargs)
self.out = TreeProducerETau(fname, self)
# TRIGGERS
jsonfile = os.path.join(datadir,
"trigger/tau_triggers_%d.json" % (self.year))
self.trigger = TrigObjMatcher(jsonfile,
trigger='SingleElectron',
isdata=self.isdata)
self.eleCutPt = self.trigger.ptmins[0]
self.tauCutPt = 20
self.eleCutEta = 2.3
self.tauCutEta = 2.3
# CORRECTIONS
if self.ismc:
self.eleSFs = ElectronSFs(
era=self.era) # electron id/iso/trigger SFs
self.tesTool = TauESTool(
tauSFVersion[self.year]) # real tau energy scale corrections
self.fesTool = TauFESTool(
tauSFVersion[self.year]) # e -> tau fake energy scale
self.tauSFs = TauIDSFTool(tauSFVersion[self.year],
'DeepTau2017v2p1VSjet', 'Tight')
self.etfSFs = TauIDSFTool(tauSFVersion[self.year],
'DeepTau2017v2p1VSe', 'VLoose')
self.mtfSFs = TauIDSFTool(tauSFVersion[self.year],
'DeepTau2017v2p1VSmu', 'Tight')
# CUTFLOW
self.out.cutflow.addcut('none', "no cut")
self.out.cutflow.addcut('trig', "trigger")
self.out.cutflow.addcut('electron', "electron")
self.out.cutflow.addcut('tau', "tau")
self.out.cutflow.addcut('pair', "pair")
self.out.cutflow.addcut('weight', "no cut, weighted", 15)
self.out.cutflow.addcut('weight_no0PU', "no cut, weighted, PU>0",
16) # use for normalization
def beginJob(self):
"""Before processing any events or files."""
super(ModuleETau, self).beginJob()
print ">>> %-12s = %s" % ('tauwp', self.tauwp)
print ">>> %-12s = %s" % ('eleCutPt', self.eleCutPt)
print ">>> %-12s = %s" % ('eleCutEta', self.eleCutEta)
print ">>> %-12s = %s" % ('tauCutPt', self.tauCutPt)
print ">>> %-12s = %s" % ('tauCutEta', self.tauCutEta)
pass
def analyze(self, event):
"""Process and pre-select events; fill branches and return True if the events passes,
return False otherwise."""
sys.stdout.flush()
##### NO CUT #####################################
self.out.cutflow.fill('none')
if self.isdata:
self.out.cutflow.fill('weight', 1.)
if event.PV_npvs > 0:
self.out.cutflow.fill('weight_no0PU', 1.)
else:
return False
else:
self.out.cutflow.fill('weight', event.genWeight)
self.out.pileup.Fill(event.Pileup_nTrueInt)
if event.Pileup_nTrueInt > 0:
self.out.cutflow.fill('weight_no0PU', event.genWeight)
else:
return False
##### TRIGGER ####################################
if not self.trigger.fired(event):
return False
self.out.cutflow.fill('trig')
##### ELECTRON ###################################
electrons = []
for electron in Collection(event, 'Electron'):
#if self.ismc and self.ees!=1:
# electron.pt *= self.ees
# electron.mass *= self.ees
if electron.pt < self.eleCutPt: continue
if abs(electron.eta) > self.eleCutEta: continue
if abs(electron.dz) > 0.2: continue
if abs(electron.dxy) > 0.045: continue
if not electron.convVeto: continue
if electron.lostHits > 1: continue
if not (electron.mvaFall17V2Iso_WP90
or electron.mvaFall17V2noIso_WP90):
continue
if not self.trigger.match(event, electron): continue
electrons.append(electron)
if len(electrons) == 0:
return False
self.out.cutflow.fill('electron')
##### TAU ########################################
taus = []
for tau in Collection(event, 'Tau'):
if abs(tau.eta) > self.tauCutEta: continue
if abs(tau.dz) > 0.2: continue
if tau.decayMode not in [0, 1, 10, 11]: continue
if abs(tau.charge) != 1: continue
if tau.idDeepTau2017v2p1VSe < 1: continue # VVVLoose
if tau.idDeepTau2017v2p1VSmu < 1: continue # VLoose
if tau.idDeepTau2017v2p1VSjet < self.tauwp: continue
if self.ismc:
tau.es = 1 # store energy scale for propagating to MET
genmatch = tau.genPartFlav
if genmatch == 5: # real tau
if self.tes != None: # user-defined energy scale (for TES studies)
tes = self.tes
else: # recommended energy scale (apply by default)
tes = self.tesTool.getTES(tau.pt,
tau.decayMode,
unc=self.tessys)
if tes != 1:
tau.pt *= tes
tau.mass *= tes
tau.es = tes
elif self.ltf and 0 < genmatch < 5: # lepton -> tau fake
tau.pt *= self.ltf
tau.mass *= self.ltf
tau.es = self.ltf
elif genmatch in [
1, 3
]: # electron -> tau fake (apply by default, override with 'ltf=1.0')
fes = self.fesTool.getFES(tau.eta,
tau.decayMode,
unc=self.fes)
tau.pt *= fes
tau.mass *= fes
tau.es = fes
elif self.jtf != 1.0 and genmatch == 0: # jet -> tau fake
tau.pt *= self.jtf
tau.mass *= self.jtf
tau.es = self.jtf
if tau.pt < self.tauCutPt: continue
taus.append(tau)
if len(taus) == 0:
return False
self.out.cutflow.fill('tau')
##### ETAU PAIR ##################################
ltaus = []
for electron in electrons:
for tau in taus:
if tau.DeltaR(electron) < 0.5: continue
ltau = LeptonTauPair(electron, electron.pfRelIso03_all, tau,
tau.rawDeepTau2017v2p1VSjet)
ltaus.append(ltau)
if len(ltaus) == 0:
return False
electron, tau = max(ltaus).pair
electron.tlv = electron.p4()
tau.tlv = tau.p4()
self.out.cutflow.fill('pair')
# VETOS
extramuon_veto, extraelec_veto, dilepton_veto = getlepvetoes(
event, [electron], [], [tau], self.channel)
self.out.extramuon_veto[0], self.out.extraelec_veto[
0], self.out.dilepton_veto[0] = getlepvetoes(
event, [electron], [], [], self.channel)
self.out.lepton_vetoes[0] = self.out.extramuon_veto[
0] or self.out.extraelec_veto[0] or self.out.dilepton_veto[0]
self.out.lepton_vetoes_notau[
0] = extramuon_veto or extraelec_veto or dilepton_veto
# TIGHTEN PRE-SELECTION
if self.dotight: # do not save all events to reduce disk space
fail = (self.out.lepton_vetoes[0] and self.out.lepton_vetoes_notau[0]) or\
(tau.idMVAoldDM2017v2<2 and tau.idDeepTau2017v2p1VSjet<1) or\
(tau.idAntiMu<2 and tau.idDeepTau2017v2p1VSmu<1) or\
(tau.idAntiEle<2 and tau.idDeepTau2017v2p1VSe<2)
if (self.tes not in [1, None]
or self.tessys != None) and (fail or tau.genPartFlav != 5):
return False
if (self.ltf != 1 or self.fes != None
) and tau.genPartFlav < 1 and tau.genPartFlav > 4:
return False
###if self.jtf!=1 and tau.genPartFlav!=0:
### return False
# EVENT
self.fillEventBranches(event)
# ELECTRON
self.out.pt_1[0] = electron.pt
self.out.eta_1[0] = electron.eta
self.out.phi_1[0] = electron.phi
self.out.m_1[0] = electron.mass
self.out.y_1[0] = electron.tlv.Rapidity()
self.out.dxy_1[0] = electron.dxy
self.out.dz_1[0] = electron.dz
self.out.q_1[0] = electron.charge
self.out.iso_1[0] = electron.pfRelIso03_all
self.out.cutBased_1[0] = electron.cutBased
self.out.mvaFall17Iso_WP90_1[0] = electron.mvaFall17V2Iso_WP90
self.out.mvaFall17Iso_WP80_1[0] = electron.mvaFall17V2Iso_WP80
self.out.mvaFall17noIso_WP90_1[0] = electron.mvaFall17V2noIso_WP90
self.out.mvaFall17noIso_WP80_1[0] = electron.mvaFall17V2noIso_WP80
# TAU
self.out.pt_2[0] = tau.pt
self.out.eta_2[0] = tau.eta
self.out.phi_2[0] = tau.phi
self.out.m_2[0] = tau.mass
self.out.y_2[0] = tau.tlv.Rapidity()
self.out.dxy_2[0] = tau.dxy
self.out.dz_2[0] = tau.dz
self.out.q_2[0] = tau.charge
self.out.dm_2[0] = tau.decayMode
self.out.iso_2[0] = tau.rawIso
self.out.idiso_2[0] = idIso(tau) # cut-based tau isolation (rawIso)
self.out.rawAntiEle_2[0] = tau.rawAntiEle
self.out.rawMVAoldDM2017v2_2[0] = tau.rawMVAoldDM2017v2
self.out.rawMVAnewDM2017v2_2[0] = tau.rawMVAnewDM2017v2
self.out.rawDeepTau2017v2p1VSe_2[0] = tau.rawDeepTau2017v2p1VSe
self.out.rawDeepTau2017v2p1VSmu_2[0] = tau.rawDeepTau2017v2p1VSmu
self.out.rawDeepTau2017v2p1VSjet_2[0] = tau.rawDeepTau2017v2p1VSjet
self.out.idAntiEle_2[0] = tau.idAntiEle
self.out.idAntiMu_2[0] = tau.idAntiMu
self.out.idDecayMode_2[0] = tau.idDecayMode
self.out.idDecayModeNewDMs_2[0] = tau.idDecayModeNewDMs
self.out.idMVAoldDM2017v2_2[0] = tau.idMVAoldDM2017v2
self.out.idMVAnewDM2017v2_2[0] = tau.idMVAnewDM2017v2
self.out.idDeepTau2017v2p1VSe_2[0] = tau.idDeepTau2017v2p1VSe
self.out.idDeepTau2017v2p1VSmu_2[0] = tau.idDeepTau2017v2p1VSmu
self.out.idDeepTau2017v2p1VSjet_2[0] = tau.idDeepTau2017v2p1VSjet
self.out.chargedIso_2[0] = tau.chargedIso
self.out.neutralIso_2[0] = tau.neutralIso
self.out.leadTkPtOverTauPt_2[0] = tau.leadTkPtOverTauPt
self.out.photonsOutsideSignalCone_2[0] = tau.photonsOutsideSignalCone
self.out.puCorr_2[0] = tau.puCorr
# GENERATOR
if self.ismc:
self.out.genmatch_1[0] = electron.genPartFlav
self.out.genmatch_2[0] = tau.genPartFlav
dRmin = 0.5
taumatch = None
for genvistau in Collection(event, 'GenVisTau'):
dR = genvistau.DeltaR(tau)
if dR < dRmin:
dRmin = dR
taumatch = genvistau
if taumatch:
self.out.genvistaupt_2[0] = taumatch.pt
self.out.genvistaueta_2[0] = taumatch.eta
self.out.genvistauphi_2[0] = taumatch.phi
self.out.gendm_2[0] = taumatch.status
else:
self.out.genvistaupt_2[0] = -1
self.out.genvistaueta_2[0] = -9
self.out.genvistauphi_2[0] = -9
self.out.gendm_2[0] = -1
# JETS
jets, met, njets_vars, met_vars = self.fillJetBranches(
event, electron, tau)
if self.ismc:
self.out.jpt_match_2[0], self.out.jpt_genmatch_2[0] = matchtaujet(
event, tau, self.ismc)
else:
self.out.jpt_match_2[0] = matchtaujet(event, tau, self.ismc)[0]
# WEIGHTS
if self.ismc:
self.fillCommonCorrBraches(event, jets, met, njets_vars, met_vars)
if electron.pfRelIso03_all < 0.50 and tau.idDeepTau2017v2p1VSjet >= 2:
self.btagTool.fillEffMaps(jets, usejec=self.dojec)
# MUON WEIGHTS
self.out.trigweight[0] = self.eleSFs.getTriggerSF(
electron.pt, electron.eta)
self.out.idisoweight_1[0] = self.eleSFs.getIdIsoSF(
electron.pt, electron.eta)
# TAU WEIGHTS
if tau.genPartFlav == 5: # real tau
self.out.idweight_2[0] = self.tauSFs.getSFvsPT(tau.pt)
if not self.dotight:
self.out.idweightUp_2[0] = self.tauSFs.getSFvsPT(tau.pt,
unc='Up')
self.out.idweightDown_2[0] = self.tauSFs.getSFvsPT(
tau.pt, unc='Down')
elif tau.genPartFlav in [1, 3]: # muon -> tau fake
self.out.ltfweight_2[0] = self.etfSFs.getSFvsEta(
tau.eta, tau.genPartFlav)
if not self.dotight:
self.out.ltfweightUp_2[0] = self.etfSFs.getSFvsEta(
tau.eta, tau.genPartFlav, unc='Up')
self.out.ltfweightDown_2[0] = self.etfSFs.getSFvsEta(
tau.eta, tau.genPartFlav, unc='Down')
elif tau.genPartFlav in [2, 4]: # electron -> tau fake
self.out.ltfweight_2[0] = self.mtfSFs.getSFvsEta(
tau.eta, tau.genPartFlav)
if not self.dotight:
self.out.ltfweightUp_2[0] = self.mtfSFs.getSFvsEta(
tau.eta, tau.genPartFlav, unc='Up')
self.out.ltfweightDown_2[0] = self.mtfSFs.getSFvsEta(
tau.eta, tau.genPartFlav, unc='Down')
self.out.weight[0] = self.out.genweight[0] * self.out.puweight[
0] * self.out.trigweight[0] * self.out.idisoweight_1[
0] #*self.out.idisoweight_2[0]
elif self.isembed:
###self.applyCommonEmbdedCorrections(event,jets,jetIds50,met,njets_vars,met_vars)
self.out.genweight[0] = event.genWeight
self.out.trackweight[
0] = 0.975 if tau.decayMode == 0 else 1.0247 if tau.decayMode == 1 else 0.927 if tau.decayMode == 10 else 0.974 if tau.decayMode == 11 else 1.0
# MET & DILEPTON VARIABLES
self.fillMETAndDiLeptonBranches(event, electron, tau, met, met_vars)
self.out.fill()
return True
import ROOT
import math
ROOT.PyConfig.IgnoreCommandLineOptions = True
from PhysicsTools.NanoAODTools.postprocessing.framework.datamodel import Collection
from PhysicsTools.NanoAODTools.postprocessing.framework.eventloop import Module
from TauPOG.TauIDSFs.TauIDSFTool import TauIDSFTool
tauSFTool_jet = TauIDSFTool('2018ReReco', 'DeepTau2017v2p1VSjet', 'VVTight')
tauSFTool_ele = TauIDSFTool('2018ReReco', 'DeepTau2017v2p1VSe', 'VVTight')
tauSFTool_muo = TauIDSFTool('2018ReReco', 'DeepTau2017v2p1VSmu', 'Tight')
from TauPOG.TauIDSFs.TauIDSFTool import TauESTool
testool_jet = TauESTool('2018ReReco', 'DeepTau2017v2p1VSjet')
from TauPOG.TauIDSFs.TauIDSFTool import TauFESTool
testool_ele = TauFESTool('2018ReReco', 'DeepTau2017v2p1VSe')
from MuonPOG.MuonSFs.MuonSFTool import MuonSFTool
muonSFTool = MuonSFTool()
from PhysicsTools.NanoAODTools.postprocessing.tools import deltaR
class ZMuTauProducer(Module):
def __init__(self, isMC_):
self.isMC__ = isMC_
pass
def beginJob(self):
pass
def endJob(self):
class ModuleMuTau(ModuleTauPair):
def __init__(self, fname, **kwargs):
kwargs['channel'] = 'mutau'
super(ModuleMuTau, self).__init__(fname, **kwargs)
self.out = TreeProducerMuTau(fname, self)
# TRIGGERS
if self.year == 2016:
self.trigger = lambda e: e.HLT_IsoMu22 or e.HLT_IsoMu22_eta2p1 or e.HLT_IsoTkMu22 or e.HLT_IsoTkMu22_eta2p1 #or e.HLT_IsoMu19_eta2p1_LooseIsoPFTau20_SingleL1
self.muonCutPt = lambda e: 23
self.muonCutEta = lambda e: 2.4 if e.HLT_IsoMu22 or e.HLT_IsoTkMu22 else 2.1
elif self.year == 2017:
self.trigger = lambda e: e.HLT_IsoMu24 or e.HLT_IsoMu27 #or e.HLT_IsoMu20_eta2p1_LooseChargedIsoPFTau27_eta2p1_CrossL1
self.muonCutPt = lambda e: 25 if e.HLT_IsoMu24 else 28
self.muonCutEta = lambda e: 2.4
else:
self.trigger = lambda e: e.HLT_IsoMu24 or e.HLT_IsoMu27 #or e.HLT_IsoMu20_eta2p1_LooseChargedIsoPFTau27_eta2p1_CrossL1
self.muonCutPt = lambda e: 25
self.muonCutEta = lambda e: 2.4
self.tauCutPt = 20
self.tauCutEta = 2.3
# CORRECTIONS
if self.ismc:
self.muSFs = MuonSFs(
era=self.era, verb=self.verbosity) # muon id/iso/trigger SFs
self.tesTool = TauESTool(
tauSFVersion[self.year]) # real tau energy scale corrections
self.fesTool = TauFESTool(
tauSFVersion[self.year]) # for mu -> tau fake negligible
self.tauSFs = TauIDSFTool(tauSFVersion[self.year],
'DeepTau2017v2p1VSjet', 'Tight')
self.etfSFs = TauIDSFTool(tauSFVersion[self.year],
'DeepTau2017v2p1VSe', 'VLoose')
self.mtfSFs = TauIDSFTool(tauSFVersion[self.year],
'DeepTau2017v2p1VSmu', 'Tight')
# CUTFLOW
self.out.cutflow.addcut('none', "no cut")
self.out.cutflow.addcut('trig', "trigger")
self.out.cutflow.addcut('muon', "muon")
self.out.cutflow.addcut('tau', "tau")
self.out.cutflow.addcut('pair', "pair")
self.out.cutflow.addcut('weight', "no cut, weighted", 15)
self.out.cutflow.addcut('weight_no0PU', "no cut, weighted, PU>0",
16) # use for normalization
def beginJob(self):
"""Before processing any events or files."""
super(ModuleMuTau, self).beginJob()
print ">>> %-12s = %s" % ('tauwp', self.tauwp)
print ">>> %-12s = %s" % ('muonCutPt', self.muonCutPt)
print ">>> %-12s = %s" % ('muonCutEta', self.muonCutEta)
print ">>> %-12s = %s" % ('tauCutPt', self.tauCutPt)
print ">>> %-12s = %s" % ('tauCutEta', self.tauCutEta)
pass
def analyze(self, event):
"""Process and pre-select events; fill branches and return True if the events passes,
return False otherwise."""
sys.stdout.flush()
##### NO CUT #####################################
self.out.cutflow.fill('none')
if self.isdata:
self.out.cutflow.fill('weight', 1.)
if event.PV_npvs > 0:
self.out.cutflow.fill('weight_no0PU', 1.)
else:
return False
else:
self.out.cutflow.fill('weight', event.genWeight)
self.out.pileup.Fill(event.Pileup_nTrueInt)
if event.Pileup_nTrueInt > 0:
self.out.cutflow.fill('weight_no0PU', event.genWeight)
else:
return False
##### TRIGGER ####################################
if not self.trigger(event):
return False
self.out.cutflow.fill('trig')
##### MUON #######################################
muons = []
for muon in Collection(event, 'Muon'):
if muon.pt < self.muonCutPt(event): continue
if abs(muon.eta) > self.muonCutEta(event): continue
if abs(muon.dz) > 0.2: continue
if abs(muon.dxy) > 0.045: continue
if not muon.mediumId: continue
if muon.pfRelIso04_all > 0.50: continue
muons.append(muon)
if len(muons) == 0:
return False
self.out.cutflow.fill('muon')
##### TAU ########################################
taus = []
for tau in Collection(event, 'Tau'):
if abs(tau.eta) > self.tauCutEta: continue
if abs(tau.dz) > 0.2: continue
if tau.decayMode not in [0, 1, 10, 11]: continue
if abs(tau.charge) != 1: continue
# removing this #if tau.idDeepTau2017v2p1VSe<1: continue # VVVLoose
# removing this because of FAIL region is needed #if tau.idDeepTau2017v2p1VSmu<1: continue # VLoose
if tau.idDeepTau2017v2p1VSjet < self.tauwp: continue
if self.ismc:
tau.es = 1 # store energy scale for propagating to MET
genmatch = tau.genPartFlav
if genmatch == 5: # real tau
if self.tes != None: # user-defined energy scale (for TES studies)
tes = self.tes
else: # (apply by default)
tes = self.tesTool.getTES(tau.pt,
tau.decayMode,
unc=self.tessys)
if tes != 1:
tau.pt *= tes
tau.mass *= tes
tau.es = tes
elif self.ltf and 0 < genmatch < 5: # lepton -> tau fake
tau.pt *= self.ltf
tau.mass *= self.ltf
tau.es = self.ltf
#elif genmatch in [1,3]: # electron -> tau fake (apply by default, override with 'ltf=1.0')
# fes = self.fesTool.getFES(tau.eta,tau.decayMode,unc=self.fes)
# tau.pt *= fes
# tau.mass *= fes
# tau.es = fes
elif genmatch in [
2, 4
]: # muon -> tau fake (apply by default, override with 'ltf=1.0')
if self.fes != None: # user-defined energy scale (for LES studies)
fes = self.fes
else:
fes = self.fesTool.getFES(tau.eta,
tau.decayMode,
unc=self.fes)
if fes != 1:
tau.pt *= fes
tau.mass *= fes
tau.es = fes
elif self.jtf != 1.0 and genmatch == 0: # jet -> tau fake
tau.pt *= self.jtf
tau.mass *= self.jtf
tau.es = self.jtf
if tau.pt < self.tauCutPt: continue
taus.append(tau)
if len(taus) == 0:
return False
self.out.cutflow.fill('tau')
##### MUTAU PAIR #################################
ltaus = []
for muon in muons:
for tau in taus:
if tau.DeltaR(muon) < 0.5: continue
ltau = LeptonTauPair(muon, muon.pfRelIso04_all, tau,
tau.rawDeepTau2017v2p1VSjet)
ltaus.append(ltau)
if len(ltaus) == 0:
return False
muon, tau = max(ltaus).pair
muon.tlv = muon.p4()
tau.tlv = tau.p4()
self.out.cutflow.fill('pair')
# VETOS
extramuon_veto, extraelec_veto, dilepton_veto = getlepvetoes(
event, [], [muon], [tau], self.channel)
self.out.extramuon_veto[0], self.out.extraelec_veto[
0], self.out.dilepton_veto[0] = getlepvetoes(
event, [], [muon], [], self.channel)
self.out.lepton_vetoes[0] = self.out.extramuon_veto[
0] or self.out.extraelec_veto[0] or self.out.dilepton_veto[0]
self.out.lepton_vetoes_notau[
0] = extramuon_veto or extraelec_veto or dilepton_veto
# EVENT
self.fillEventBranches(event)
# MUON
self.out.pt_1[0] = muon.pt
self.out.eta_1[0] = muon.eta
self.out.phi_1[0] = muon.phi
self.out.m_1[0] = muon.mass
self.out.y_1[0] = muon.tlv.Rapidity()
self.out.dxy_1[0] = muon.dxy
self.out.dz_1[0] = muon.dz
self.out.q_1[0] = muon.charge
self.out.iso_1[0] = muon.pfRelIso04_all
# TAU
self.out.pt_2[0] = tau.pt
self.out.eta_2[0] = tau.eta
self.out.phi_2[0] = tau.phi
self.out.m_2[0] = tau.mass
self.out.y_2[0] = tau.tlv.Rapidity()
self.out.dxy_2[0] = tau.dxy
self.out.dz_2[0] = tau.dz
self.out.q_2[0] = tau.charge
self.out.dm_2[0] = tau.decayMode
self.out.iso_2[0] = tau.rawIso
self.out.idiso_2[0] = idIso(tau) # cut-based tau isolation (rawIso)
self.out.rawAntiEle_2[0] = tau.rawAntiEle
self.out.rawMVAoldDM2017v2_2[0] = tau.rawMVAoldDM2017v2
self.out.rawMVAnewDM2017v2_2[0] = tau.rawMVAnewDM2017v2
self.out.rawDeepTau2017v2p1VSe_2[0] = tau.rawDeepTau2017v2p1VSe
self.out.rawDeepTau2017v2p1VSmu_2[0] = tau.rawDeepTau2017v2p1VSmu
self.out.rawDeepTau2017v2p1VSjet_2[0] = tau.rawDeepTau2017v2p1VSjet
self.out.idAntiEle_2[0] = tau.idAntiEle
self.out.idAntiMu_2[0] = tau.idAntiMu
self.out.idDecayMode_2[0] = tau.idDecayMode
self.out.idDecayModeNewDMs_2[0] = tau.idDecayModeNewDMs
self.out.idMVAoldDM2017v2_2[0] = tau.idMVAoldDM2017v2
self.out.idMVAnewDM2017v2_2[0] = tau.idMVAnewDM2017v2
self.out.idDeepTau2017v2p1VSe_2[0] = tau.idDeepTau2017v2p1VSe
self.out.idDeepTau2017v2p1VSmu_2[0] = tau.idDeepTau2017v2p1VSmu
self.out.idDeepTau2017v2p1VSjet_2[0] = tau.idDeepTau2017v2p1VSjet
self.out.chargedIso_2[0] = tau.chargedIso
self.out.neutralIso_2[0] = tau.neutralIso
self.out.leadTkPtOverTauPt_2[0] = tau.leadTkPtOverTauPt
self.out.photonsOutsideSignalCone_2[0] = tau.photonsOutsideSignalCone
self.out.puCorr_2[0] = tau.puCorr
# GENERATOR
if self.ismc:
self.out.genmatch_1[0] = muon.genPartFlav
self.out.genmatch_2[0] = tau.genPartFlav
pt, phi, eta, status = matchgenvistau(event, tau)
self.out.genvistaupt_2[0] = pt
self.out.genvistaueta_2[0] = eta
self.out.genvistauphi_2[0] = phi
self.out.gendm_2[0] = status
# JETS
jets, met, njets_vars, met_vars = self.fillJetBranches(
event, muon, tau)
if self.ismc:
self.out.jpt_match_2[0], self.out.jpt_genmatch_2[0] = matchtaujet(
event, tau, self.ismc)
else:
self.out.jpt_match_2[0] = matchtaujet(event, tau, self.ismc)[0]
# WEIGHTS
if self.ismc:
self.fillCommonCorrBraches(event, jets, met, njets_vars, met_vars)
if muon.pfRelIso04_all < 0.50 and tau.idDeepTau2017v2p1VSjet >= 2:
self.btagTool.fillEffMaps(jets, usejec=self.dojec)
# MUON WEIGHTS
self.out.trigweight[0] = self.muSFs.getTriggerSF(muon.pt, muon.eta)
self.out.idisoweight_1[0] = self.muSFs.getIdIsoSF(
muon.pt, muon.eta)
# DEFAULTS
self.out.idweight_2[0] = 1.
self.out.ltfweight_2[0] = 1.
if not self.dotight:
self.out.idweightUp_2[0] = 1.
self.out.idweightDown_2[0] = 1.
self.out.ltfweightUp_2[0] = 1.
self.out.ltfweightDown_2[0] = 1.
# TAU WEIGHTS
if tau.genPartFlav == 5: # real tau
self.out.idweight_2[0] = self.tauSFs.getSFvsPT(tau.pt)
if not self.dotight:
self.out.idweightUp_2[0] = self.tauSFs.getSFvsPT(tau.pt,
unc='Up')
self.out.idweightDown_2[0] = self.tauSFs.getSFvsPT(
tau.pt, unc='Down')
elif tau.genPartFlav in [1, 3]: # muon -> tau fake
self.out.ltfweight_2[0] = self.etfSFs.getSFvsEta(
tau.eta, tau.genPartFlav)
if not self.dotight:
self.out.ltfweightUp_2[0] = self.etfSFs.getSFvsEta(
tau.eta, tau.genPartFlav, unc='Up')
self.out.ltfweightDown_2[0] = self.etfSFs.getSFvsEta(
tau.eta, tau.genPartFlav, unc='Down')
elif tau.genPartFlav in [2, 4]: # electron -> tau fake
self.out.ltfweight_2[0] = self.mtfSFs.getSFvsEta(
tau.eta, tau.genPartFlav)
if not self.dotight:
self.out.ltfweightUp_2[0] = self.mtfSFs.getSFvsEta(
tau.eta, tau.genPartFlav, unc='Up')
self.out.ltfweightDown_2[0] = self.mtfSFs.getSFvsEta(
tau.eta, tau.genPartFlav, unc='Down')
self.out.weight[0] = self.out.genweight[0] * self.out.puweight[
0] * self.out.trigweight[0] * self.out.idisoweight_1[
0] #*self.out.idisoweight_2[0]
elif self.isembed:
###self.applyCommonEmbdedCorrections(event,jets,jetIds50,met,njets_vars,met_vars)
self.out.genweight[0] = event.genWeight
self.out.trackweight[
0] = 0.975 if tau.decayMode == 0 else 1.0247 if tau.decayMode == 1 else 0.927 if tau.decayMode == 10 else 0.974 if tau.decayMode == 11 else 1.0
# MET & DILEPTON VARIABLES
self.fillMETAndDiLeptonBranches(event, muon, tau, met, met_vars)
self.out.fill()
return True
class ModuleTauTau(ModuleTauPair):
def __init__(self, fname, **kwargs):
kwargs['channel'] = 'mutau'
super(ModuleTauTau, self).__init__(fname, **kwargs)
self.out = TreeProducerTauTau(fname, self)
# TRIGGERS
jsonfile = os.path.join(datadir,
"trigger/tau_triggers_%d.json" % (self.year))
self.trigger = TrigObjMatcher(jsonfile,
trigger='ditau',
isdata=self.isdata)
self.tauCutPt = 40
self.tauCutEta = 2.1
# CORRECTIONS
if self.ismc:
self.trigTool = TauTriggerSFs('tautau', 'Medium', year=self.year)
self.trigTool_tight = TauTriggerSFs('tautau',
'Tight',
year=self.year)
self.tesTool = TauESTool(
tauSFVersion[self.year]) # real tau energy scale
self.fesTool = TauFESTool(
tauSFVersion[self.year]) # e -> tau fake energy scale
self.tauSFs = TauIDSFTool(tauSFVersion[self.year],
'DeepTau2017v2p1VSjet',
'Medium',
dm=True)
self.tauSFs_tight = TauIDSFTool(tauSFVersion[self.year],
'DeepTau2017v2p1VSjet',
'Tight',
dm=True)
self.etfSFs = TauIDSFTool(tauSFVersion[self.year],
'DeepTau2017v2p1VSe', 'VVLoose')
self.mtfSFs = TauIDSFTool(tauSFVersion[self.year],
'DeepTau2017v2p1VSmu', 'Loose')
# CUTFLOW
self.out.cutflow.addcut('none', "no cut")
self.out.cutflow.addcut('trig', "trigger")
self.out.cutflow.addcut('tau', "tau")
self.out.cutflow.addcut('pair', "ditau pair")
self.out.cutflow.addcut('weight', "no cut, weighted", 15)
self.out.cutflow.addcut('weight_no0PU', "no cut, weighted, PU>0",
16) # use for normalization
def beginJob(self):
"""Before processing any events or files."""
super(ModuleTauTau, self).beginJob()
print ">>> %-12s = %s" % ('tauwp', self.tauwp)
print ">>> %-12s = %s" % ('tauCutPt', self.tauCutPt)
print ">>> %-12s = %s" % ('tauCutEta', self.tauCutEta)
print ">>> %-12s = '%s'" % ('triggers',
self.trigger.path.replace(
"||", "\n>>> %s||" % (' ' * 16)))
def analyze(self, event):
"""Process and pre-select events; fill branches and return True if the events passes,
return False otherwise."""
sys.stdout.flush()
##### NO CUT #####################################
self.out.cutflow.fill('none')
if self.isdata:
self.out.cutflow.fill('weight', 1.)
if event.PV_npvs > 0:
self.out.cutflow.fill('weight_no0PU', 1.)
else:
return False
else:
self.out.cutflow.fill('weight', event.genWeight)
self.out.pileup.Fill(event.Pileup_nTrueInt)
if event.Pileup_nTrueInt > 0:
self.out.cutflow.fill('weight_no0PU', event.genWeight)
else:
return False
##### TRIGGER ####################################
if not self.trigger.fired(event):
return False
self.out.cutflow.fill('trig')
##### TAU ########################################
taus = []
for tau in Collection(event, 'Tau'):
if abs(tau.eta) > self.tauCutEta: continue
if abs(tau.dz) > 0.2: continue
if tau.decayMode not in [0, 1, 10, 11]: continue
if abs(tau.charge) != 1: continue
if tau.idDeepTau2017v2p1VSe < 1: continue # VVVLoose
if tau.idDeepTau2017v2p1VSmu < 1: continue # VLoose
if tau.idDeepTau2017v2p1VSjet < self.tauwp: continue
if self.ismc:
tau.es = 1 # store energy scale for propagating to MET
genmatch = tau.genPartFlav
if genmatch == 5: # real tau
if self.tes != None: # user-defined energy scale (for TES studies)
tes = self.tes
else: # (apply by default)
tes = self.tesTool.getTES(tau.pt,
tau.decayMode,
unc=self.tessys)
if tes != 1:
tau.pt *= tes
tau.mass *= tes
tau.es = tes
elif self.ltf and 0 < genmatch < 5: # lepton -> tau fake
tau.pt *= self.ltf
tau.mass *= self.ltf
tau.es = self.ltf
elif genmatch in [
1, 3
]: # electron -> tau fake (apply by default, override with 'ltf=1.0')
fes = self.fesTool.getFES(tau.eta,
tau.decayMode,
unc=self.fes)
tau.pt *= fes
tau.mass *= fes
tau.es = fes
elif self.jtf != 1.0 and genmatch == 0: # jet -> tau fake
tau.pt *= self.jtf
tau.mass *= self.jtf
tau.es = self.jtf
if tau.pt < self.tauCutPt: continue
taus.append(tau)
if len(taus) == 0:
return False
self.out.cutflow.fill('tau')
##### DITAU PAIR #################################
ditaus = []
for i, tau1 in enumerate(taus, 1):
for tau2 in taus[i:]:
if tau1.DeltaR(tau2) < 0.5: continue
ditau = DiTauPair(tau1, tau1.rawDeepTau2017v2p1VSjet, tau2,
tau2.rawDeepTau2017v2p1VSjet)
ditaus.append(ditau)
if len(ditaus) == 0:
return False
tau1, tau2 = max(ditaus).pair
tau1.tlv = tau1.p4()
tau2.tlv = tau2.p4()
self.out.cutflow.fill('pair')
# VETOS
extramuon_veto, extraelec_veto, dilepton_veto = getlepvetoes(
event, [], [], [tau1, tau2], self.channel)
self.out.extramuon_veto[0], self.out.extraelec_veto[
0], self.out.dilepton_veto[0] = getlepvetoes(
event, [], [], [], self.channel)
self.out.lepton_vetoes[0] = self.out.extramuon_veto[
0] or self.out.extraelec_veto[0] #or self.out.dilepton_veto[0]
self.out.lepton_vetoes_notau[
0] = extramuon_veto or extraelec_veto #or dilepton_veto
# EVENT
self.fillEventBranches(event)
# TAU 1
self.out.pt_1[0] = tau1.pt
self.out.eta_1[0] = tau1.eta
self.out.phi_1[0] = tau1.phi
self.out.m_1[0] = tau1.mass
self.out.y_1[0] = tau1.tlv.Rapidity()
self.out.dxy_1[0] = tau1.dxy
self.out.dz_1[0] = tau1.dz
self.out.q_1[0] = tau1.charge
self.out.dm_1[0] = tau1.decayMode
self.out.iso_1[0] = tau1.rawIso
self.out.idiso_1[0] = idIso(tau1) # cut-based tau isolation (rawIso)
self.out.rawDeepTau2017v2p1VSe_1[0] = tau1.rawDeepTau2017v2p1VSe
self.out.rawDeepTau2017v2p1VSmu_1[0] = tau1.rawDeepTau2017v2p1VSmu
self.out.rawDeepTau2017v2p1VSjet_1[0] = tau1.rawDeepTau2017v2p1VSjet
self.out.idAntiEle_1[0] = tau1.idAntiEle
self.out.idAntiMu_1[0] = tau1.idAntiMu
self.out.idDecayMode_1[0] = tau1.idDecayMode
self.out.idDecayModeNewDMs_1[0] = tau1.idDecayModeNewDMs
self.out.idMVAoldDM2017v2_1[0] = tau1.idMVAoldDM2017v2
self.out.idMVAnewDM2017v2_1[0] = tau1.idMVAnewDM2017v2
self.out.idDeepTau2017v2p1VSe_1[0] = tau1.idDeepTau2017v2p1VSe
self.out.idDeepTau2017v2p1VSmu_1[0] = tau1.idDeepTau2017v2p1VSmu
self.out.idDeepTau2017v2p1VSjet_1[0] = tau1.idDeepTau2017v2p1VSjet
self.out.chargedIso_1[0] = tau1.chargedIso
self.out.neutralIso_1[0] = tau1.neutralIso
self.out.leadTkPtOverTauPt_1[0] = tau1.leadTkPtOverTauPt
self.out.photonsOutsideSignalCone_1[0] = tau1.photonsOutsideSignalCone
self.out.puCorr_1[0] = tau1.puCorr
# TAU 2
self.out.pt_2[0] = tau2.pt
self.out.eta_2[0] = tau2.eta
self.out.phi_2[0] = tau2.phi
self.out.m_2[0] = tau2.mass
self.out.y_2[0] = tau2.tlv.Rapidity()
self.out.dxy_2[0] = tau2.dxy
self.out.dz_2[0] = tau2.dz
self.out.q_2[0] = tau2.charge
self.out.dm_2[0] = tau2.decayMode
self.out.iso_2[0] = tau2.rawIso
self.out.idiso_2[0] = idIso(tau2) # cut-based tau isolation (rawIso)
self.out.rawDeepTau2017v2p1VSe_2[0] = tau2.rawDeepTau2017v2p1VSe
self.out.rawDeepTau2017v2p1VSmu_2[0] = tau2.rawDeepTau2017v2p1VSmu
self.out.rawDeepTau2017v2p1VSjet_2[0] = tau2.rawDeepTau2017v2p1VSjet
self.out.idAntiEle_2[0] = tau2.idAntiEle
self.out.idAntiMu_2[0] = tau2.idAntiMu
self.out.idDecayMode_2[0] = tau2.idDecayMode
self.out.idDecayModeNewDMs_2[0] = tau2.idDecayModeNewDMs
self.out.idMVAoldDM2017v2_2[0] = tau2.idMVAoldDM2017v2
self.out.idMVAnewDM2017v2_2[0] = tau2.idMVAnewDM2017v2
self.out.idDeepTau2017v2p1VSe_2[0] = tau2.idDeepTau2017v2p1VSe
self.out.idDeepTau2017v2p1VSmu_2[0] = tau2.idDeepTau2017v2p1VSmu
self.out.idDeepTau2017v2p1VSjet_2[0] = tau2.idDeepTau2017v2p1VSjet
self.out.chargedIso_2[0] = tau2.chargedIso
self.out.neutralIso_2[0] = tau2.neutralIso
self.out.leadTkPtOverTauPt_2[0] = tau2.leadTkPtOverTauPt
self.out.photonsOutsideSignalCone_2[0] = tau2.photonsOutsideSignalCone
self.out.puCorr_2[0] = tau2.puCorr
# GENERATOR
if self.ismc:
self.out.genmatch_1[0] = tau1.genPartFlav
self.out.genmatch_2[0] = tau2.genPartFlav
pt1, phi1, eta1, status1 = matchgenvistau(event, tau1)
pt2, phi2, eta2, status2 = matchgenvistau(event, tau2)
self.out.genvistaupt_1[0] = pt1
self.out.genvistaueta_1[0] = eta1
self.out.genvistauphi_1[0] = phi1
self.out.gendm_1[0] = status1
self.out.genvistaupt_2[0] = pt2
self.out.genvistaueta_2[0] = eta2
self.out.genvistauphi_2[0] = phi2
self.out.gendm_2[0] = status2
# JETS
jets, met, njets_vars, met_vars = self.fillJetBranches(
event, tau1, tau2)
self.out.jpt_match_1[0], self.out.jpt_genmatch_1[0] = matchtaujet(
event, tau1, self.ismc)
self.out.jpt_match_2[0], self.out.jpt_genmatch_2[0] = matchtaujet(
event, tau2, self.ismc)
# WEIGHTS
if self.ismc:
self.fillCommonCorrBraches(event, jets, met, njets_vars, met_vars)
if tau1.idDeepTau2017v2p1VSjet >= 2 and tau2.idDeepTau2017v2p1VSjet >= 2:
self.btagTool.fillEffMaps(jets, usejec=self.dojec)
self.out.trigweight[0] = self.trigTool.getSFPair(tau1, tau2)
self.out.trigweight_tight[0] = self.trigTool_tight.getSFPair(
tau1, tau2)
if not self.dotight:
self.out.trigweightUp[0] = self.trigTool.getSFPair(tau1,
tau2,
unc='Up')
self.out.trigweightDown[0] = self.trigTool.getSFPair(
tau1, tau2, unc='Down')
# DEFAULTS
self.out.idweight_1[0] = 1.
self.out.idweight_2[0] = 1.
self.out.idweight_tight_1[0] = 1.
self.out.idweight_tight_2[0] = 1.
self.out.ltfweight_2[0] = 1.
self.out.ltfweight_2[0] = 1.
if not self.dotight:
self.out.idweightUp_1[0] = 1.
self.out.idweightUp_2[0] = 1.
self.out.idweightDown_1[0] = 1.
self.out.idweightDown_2[0] = 1.
self.out.ltfweightUp_1[0] = 1.
self.out.ltfweightUp_2[0] = 1.
self.out.ltfweightDown_1[0] = 1.
self.out.ltfweightDown_2[0] = 1.
# TAU 1 WEIGHTS
if tau1.genPartFlav == 5:
self.out.idweight_1[0] = self.tauSFs.getSFvsDM(
tau1.pt, tau1.decayMode)
self.out.idweight_tight_1[0] = self.tauSFs_tight.getSFvsDM(
tau1.pt, tau1.decayMode)
if not self.dotight:
self.out.idweightUp_1[0] = self.tauSFs.getSFvsDM(
tau1.pt, tau1.decayMode, unc='Up')
self.out.idweightDown_1[0] = self.tauSFs.getSFvsDM(
tau1.pt, tau1.decayMode, unc='Down')
elif tau1.genPartFlav > 0:
ltfTool = self.etfSFs if tau1.genPartFlav in [
1, 3
] else self.mtfSFs
self.out.ltfweight_1[0] = ltfTool.getSFvsEta(
tau1.eta, tau1.genPartFlav)
if not self.dotight:
self.out.ltfweightUp_1[0] = ltfTool.getSFvsEta(
tau1.eta, tau1.genPartFlav, unc='Up')
self.out.ltfweightDown_1[0] = ltfTool.getSFvsEta(
tau1.eta, tau1.genPartFlav, unc='Down')
# TAU 2 WEIGHTS
if tau1.genPartFlav == 5:
self.out.idweight_2[0] = self.tauSFs.getSFvsDM(
tau1.pt, tau1.decayMode)
self.out.idweight_tight_2[0] = self.tauSFs_tight.getSFvsDM(
tau1.pt, tau1.decayMode)
if not self.dotight:
self.out.idweightUp_2[0] = self.tauSFs.getSFvsDM(
tau1.pt, tau1.decayMode, unc='Up')
self.out.idweightDown_2[0] = self.tauSFs.getSFvsDM(
tau1.pt, tau1.decayMode, unc='Down')
elif tau1.genPartFlav > 0:
ltfTool = self.etfSFs if tau1.genPartFlav in [
1, 3
] else self.mtfSFs
self.out.ltfweight_2[0] = ltfTool.getSFvsEta(
tau1.eta, tau1.genPartFlav)
if not self.dotight:
self.out.ltfweightUp_2[0] = ltfTool.getSFvsEta(
tau1.eta, tau1.genPartFlav, unc='Up')
self.out.ltfweightDown_2[0] = ltfTool.getSFvsEta(
tau1.eta, tau1.genPartFlav, unc='Down')
# MET & DILEPTON VARIABLES
self.fillMETAndDiLeptonBranches(event, tau1, tau2, met, met_vars)
self.out.fill()
return True