def buildDiLeptonsSingle(self, leptons, event):
'''
'''
di_objects = []
if hasattr(event, 'calibratedTaus'):
taus = event.calibratedTaus
else:
taus = self.handles['taus'].product()
met = event.pfmet
taus = [Tau(tau) for tau in taus]
if getattr(self.cfg_ana, 'scaleTaus', False):
for tau in taus:
HTTGenAnalyzer.genMatch(event, tau, event.ptSelGentauleps,
event.ptSelGenleps,
event.ptSelGenSummary)
HTTGenAnalyzer.attachGenStatusFlag(tau)
self.scaleP4(tau, self.cfg_ana.tes_scale)
for leg1 in taus:
for leg2 in taus:
if leg1 != leg2:
di_tau = DirectTauTau(leg1, leg2, met)
di_tau.leg2().associatedVertex = event.goodVertices[0]
di_tau.leg1().associatedVertex = event.goodVertices[0]
di_tau.leg1().event = event.input.object()
di_tau.leg2().event = event.input.object()
di_tau.mvaMetSig = None
di_objects.append(di_tau)
return di_objects
def process(self, event):
self.l1 = event.diLepton.leg1()
self.l2 = event.diLepton.leg2()
HTTGenAnalyzer.genMatch(event, self.l1, event.ptSelGentauleps, event.ptSelGenleps, event.ptSelGenSummary)
HTTGenAnalyzer.genMatch(event, self.l2, event.ptSelGentauleps, event.ptSelGenleps, event.ptSelGenSummary)
HTTGenAnalyzer.attachGenStatusFlag(self.l1)
HTTGenAnalyzer.attachGenStatusFlag(self.l2)
if hasattr(event, 'selectedTaus'):
for tau in event.selectedTaus:
HTTGenAnalyzer.genMatch(event, tau, event.ptSelGentauleps, event.ptSelGenleps, event.ptSelGenSummary)
def Scale(self, tau, ptSelGentauleps, ptSelGenleps, event):
# this function should take values of scales from a file
tau.unscaledP4 = copy.deepcopy(tau.p4())
HTTGenAnalyzer.genMatch(event, tau, ptSelGentauleps, ptSelGenleps, [])
HTTGenAnalyzer.attachGenStatusFlag(tau)
if tau.gen_match == 5:
if tau.decayMode() == 0:
tau.scaleEnergy(0.995)
elif tau.decayMode() == 1:
tau.scaleEnergy(1.011)
elif tau.decayMode() == 10:
tau.scaleEnergy(1.006)
elif tau.gen_match == 1:
if tau.decayMode() == 0:
tau.scaleEnergy(1.024)
elif tau.decayMode() == 1:
tau.scaleEnergy(1.076)
def buildDiLeptons(self, cmgDiLeptons, event):
'''Build di-leptons, associate best vertex to both legs.'''
diLeptons = []
for index, dil in enumerate(cmgDiLeptons):
pydil = TauTau(dil, iso=self.cfg_ana.isolation)
pydil.leg1().associatedVertex = event.goodVertices[0]
pydil.leg2().associatedVertex = event.goodVertices[0]
pydil.leg1().event = event.input.object()
pydil.leg2().event = event.input.object()
diLeptons.append(pydil)
pydil.mvaMetSig = pydil.met().getSignificanceMatrix()
if getattr(self.cfg_ana, 'scaleTaus', False):
for leg in [pydil.leg1(), pydil.leg2()]:
HTTGenAnalyzer.genMatch(event, leg, event.ptSelGentauleps,
event.ptSelGenleps,
event.ptSelGenSummary)
HTTGenAnalyzer.attachGenStatusFlag(leg)
self.scaleP4(leg, self.cfg_ana.tes_scale)
return diLeptons
def addInfo(tau, event, cands=None, maxDeltaR=None):
HTTGenAnalyzer.genMatch(event, tau, event.gentauleps, event.genleps, [], dR=0.2, matchAll=True)
HTTGenAnalyzer.attachGenStatusFlag(tau)
TauIsoAnalyzer.tauIsoBreakdown(tau, cands, maxDeltaR=maxDeltaR)
tau.nphotons = sum(1 for cand in TauIsoAnalyzer.tauFilteredPhotons(tau))
def process(self, event):
# needed when doing handle.product(), goes back to
# PhysicsTools.Heppy.analyzers.core.Analyzer
self.readCollections(event.input)
if not eval(self.skimFunction):
return False
ptSelGentauleps = []
ptSelGenleps = []
ptSelGenSummary = []
if self.cfg_comp.isMC:
event.genJets = self.mchandles['genJets'].product()
ptcut = 8.
ptSelGentauleps = [
lep for lep in event.gentauleps if lep.pt() > ptcut
]
ptSelGenleps = [lep for lep in event.genleps if lep.pt() > ptcut]
ptSelGenSummary = [
p for p in event.generatorSummary if p.pt() > ptcut
and abs(p.pdgId()) not in [6, 23, 24, 25, 35, 36, 37]
]
for i_dil, dil in enumerate(event.selDiLeptons):
muon = dil.leg1()
jet = dil.leg2()
found = False
for corr_jet in event.jets:
if deltaR2(jet.eta(), jet.phi(), corr_jet.eta(),
corr_jet.phi()) < 0.01:
pt = max(
corr_jet.pt(),
corr_jet.pt() * corr_jet.corrJECUp / corr_jet.corr,
corr_jet.pt() * corr_jet.corrJECDown / corr_jet.corr)
if pt < 20.:
continue
found = True
if not found:
continue
tau = jet.tau if hasattr(jet, 'tau') else None
if self.cfg_comp.isMC:
if tau:
HTTGenAnalyzer.genMatch(event, tau, ptSelGentauleps,
ptSelGenleps, ptSelGenSummary)
HTTGenAnalyzer.attachGenStatusFlag(tau)
HTTGenAnalyzer.genMatch(event, muon, ptSelGentauleps,
ptSelGenleps, ptSelGenSummary)
HTTGenAnalyzer.attachGenStatusFlag(muon)
self.tree.reset()
self.fillEvent(self.tree, event)
self.fillDiLepton(self.tree, event.diLepton, fill_svfit=False)
self.fillExtraMetInfo(self.tree, event)
self.fillGenInfo(self.tree, event)
self.fillJetMETVars(event)
self.fillMuon(self.tree, 'muon', muon)
jet = Jet(jet)
jet.btagMVA = jet.btag(
'pfCombinedInclusiveSecondaryVertexV2BJetTags')
jet.btagFlag = jet.btagMVA > 0.8
self.fillJet(self.tree, 'oriJet', jet)
self.fill(self.tree, 'jet_nth', i_dil)
for corr_jet in event.jets:
if deltaR2(jet.eta(), jet.phi(), corr_jet.eta(),
corr_jet.phi()) < 0.01:
self.fillJet(self.tree, 'jet', corr_jet)
self.fill(self.tree, 'jet_nooverlap',
True if corr_jet in event.cleanJets else False)
self.fill(self.tree, 'jet_corrJECUp',
corr_jet.corrJECUp / corr_jet.corr)
self.fill(self.tree, 'jet_corrJECDown',
corr_jet.corrJECDown / corr_jet.corr)
self.fill(self.tree, 'jet_corr', corr_jet.corr)
if tau:
self.fillTau(self.tree, 'tau', tau)
if hasattr(tau, 'genp') and tau.genp:
self.fillGenParticle(self.tree, 'tau_gen', tau.genp)
if tau.genJet():
self.fillGenParticle(self.tree, 'tau_gen_vis',
tau.genJet())
self.fill(self.tree, 'tau_gen_decayMode',
tauDecayModes.genDecayModeInt(tau.genJet()))
self.fillTree(event)