def buildJetList(self, event):
self.quarks = []
self.nq = 0
for ptc in self.mchandles['genParticles'].product():
#print GenParticle(ptc)
# Find four jet events
if abs(ptc.pdgId()) > 6 and ptc.pdgId() != 21: continue
#print 'a quark : ',ptc.pdgId()
if not (ptc.numberOfMothers()): continue
moth = ptc.mother(0)
#print 'Mother : ',moth.pdgId()
if moth.numberOfMothers() and moth.mother(0).pdgId() == 25:
continue
if abs(moth.pdgId()) != 23 and \
abs(moth.pdgId()) != 25 :
continue
self.nq += 1 # counters of quarks with H or Z as a mothers
self.quarks.append(
GenParticle(ptc)
) # list of GenParticle objects for the quarks that have H or Z as a mothers
#if self.nq == 4 : print 'A Four Jet Event !'
self.jets = []
for ptj in self.handles['jets'].product():
self.jets.append(
Jet(ptj)) # list of Jets object for all the jets in input
#print jet, jet.nConstituents(), jet.component(1).number(), Jet(ptj).component(1).fraction()
if len(self.jets) > 4:
self.jets.sort(key=lambda a: a.energy(), reverse=True)
tmpJets = set(self.jets)
#print 'Jets Avant : '
#for jet in tmpJets:
# print jet, jet.nConstituents(), jet.component(1).number(), jet.component(1).fraction(), jet.mass(), jet.btag(7)
while len(tmpJets) != 4:
dijets = self.findPairs(tmpJets)
dijets.sort(key=lambda a: a.M())
#print dijets[0],dijets[0].M()
tmpJets.remove(
dijets[0].leg1
) # it removes from the list of all Jets the components of the diJet object with the lowest mass
tmpJets.remove(dijets[0].leg2) # ""
tmpJets.add(
dijets[0]
) # it add the diJet object with lowest mass to the list of Jets
#print 'Jets apres : '
self.jets = []
for jet in tmpJets:
#print jet,jet.nConstituents(), jet.mass(), jet.btag(7)
#print jet,jet.nConstituents(), jet.component(1).number(), jet.component(1).fraction(), jet.mass(), jet.btag(7)
self.jets.append(jet)
self.jets.sort(key=lambda a: a.btag(7),
reverse=True) # list of Jet objects
def buildLeptonList(self, event):
self.jets = []
for ptj in self.handles['jets'].product():
self.jets.append(Jet(ptj))
self.leptons = []
for pte in self.handles['electrons'].product():
self.leptons.append(Lepton(pte))
for ptm in self.handles['muons'].product():
self.leptons.append(Lepton(ptm))
self.photons = []
for ptg in self.handles['photons'].product():
if ptg.energy() > 1.0: self.photons.append(Photon(ptg))
# Find FSR
tmpLept = set(self.leptons)
for lept in self.leptons:
leptonIso = self.leptonIso(lept)
if leptonIso > 0.2:
tmpLept.remove(lept)
continue
#if (self.eleele or self.mumu or self.tautau ) :
# print self.eleele, self.mumu, self.tautau,lept, leptonIso
for i, ph in enumerate(self.photons):
dr = deltaR(lept.eta(), lept.phi(), ph.eta(), ph.phi())
if (abs(lept.pdgId()) == 11
or abs(lept.pdgId()) == 13) and dr < 0.4:
#print 'found ISR ',ph,lept
leph = lept.p4()
p4ph = ph.p4()
p4 = ph.p4() + lept.p4()
lept.setP4(p4)
#print 'added ISR ',ph,lept
self.leptons = []
for lept in tmpLept:
self.leptons.append(lept)
self.leptonJets = []
for lept in self.leptons:
drmin = 999.
ijet = -1
for i, jet in enumerate(self.jets):
dr = deltaR(lept.eta(), lept.phi(), jet.eta(), jet.phi())
if dr < drmin:
drmin = dr
ijet = i
if ijet >= 0:
if drmin < 0.1:
self.jets[ijet].setP4(lept.p4())
self.jets[ijet].setPdgId(lept.pdgId())
self.leptonJets.append(self.jets[ijet])
def process(self, iEvent, event):
self.readCollections( iEvent )
eventNumber = iEvent.eventAuxiliary().id().event()
# print "========================================================="
# print "event:",eventNumber
myEvent = Event(event.iEv)
setattr(event, self.name, myEvent)
event = myEvent
self.buildMCinfo( event )
self.counters.counter('h_gen').inc('All events')
self.counters.counter('h_rec').inc('All events')
if self.isHZ: self.counters.counter('h_gen').inc('All hz events')
if len(self.tau)==2:
self.counters.counter('h_gen').inc('h->tt')
if self.isHZqq:
self.counters.counter('h_gen').inc('Z->qq and h->tt')
if self.isHZbb:
self.counters.counter('h_gen').inc('Z->bb and h->tt')
event.isHZ = 0
event.isHZqq = 0
event.isHZbb = 0
if self.isHZ:
event.isHZ=1
event.H=self.H
event.Z=self.Z
if self.isHZqq:
event.isHZqq=1
if self.isHZbb:
event.isHZbb=1
event.ishtt = 0
if len(self.tau)==2:
event.ishtt =1
event.tau1=self.tau[0]
event.tau2=self.tau[1]
#save the two leading muons and the two leading electrons
self.muons = []
for muon in self.handles['muons'].product():
self.muons.append(Muon(muon))
self.muons.sort(key=lambda a: a.energy(), reverse = True)
event.leadingMuon_en=-1
if len(self.muons)>=1:
event.leadingMuon_en=self.muons[0].energy()
event.leadingMuons = []
for muon in self.muons:
if len(event.leadingMuons) >= 2: break
event.leadingMuons.append(muon)
# this is needed because the energy of the muon is changed later on if it is a tau candidate
self.electrons = []
for electron in self.handles['electrons'].product():
self.electrons.append(Electron(electron))
self.electrons.sort(key=lambda a: a.energy(), reverse = True)
event.leadingElectron_en=-1
if len(self.electrons)>=1:
event.leadingElectron_en=self.electrons[0].energy()
event.leadingElectrons = []
for electron in self.electrons:
if len(event.leadingElectrons) >= 2: break
event.leadingElectrons.append(electron)
self.hadtaus = []
for tau in self.handles['taus'].product():
self.hadtaus.append(Tau(tau))
self.hadtaus.sort(key=lambda a: a.energy(), reverse = True)
# prepare jets ordered in energy
self.jets=[]
for ptj in self.handles['jets'].product():
self.jets.append(Jet(ptj))
# order them in energy
self.jets.sort(key=lambda a: a.energy(), reverse = True)
event.njets=len(self.jets)
# loop over ele,muo,hadtaus and define "isolation", and jetindex
# iso is the closest jet (excluding itself) distance
# index is the pfjet index of the object (ele,muo,tau)
# dist is the distance of the object to the matched pfjet (it is trivially 1 for pfjets)
self.jetiso,self.jetindex,self.jetdist=self.findiso(self.jets,self.jets)
self.muoiso,self.muoindex,self.muodist=self.findiso(self.jets,self.muons)
self.eleiso,self.eleindex,self.eledist=self.findiso(self.jets,self.electrons)
self.hadtauiso,self.hadtauindex,self.hadtaudist=self.findiso(self.jets,self.hadtaus)
# look now at the tau jets
self.taugenjet=[]
self.taucos=[]
self.tauiso=[]
self.taumatchingjetindex=[]
# self.nontaugenjet = copy.copy(self.jets)
# self.nontaugenjetiso = copy.copy(self.jetiso)
if event.ishtt==1:
# loop over jets and find closest gen tau
if event.njets>=2:
for thistau in self.tau:
cosmax=-2
tauindex=-10
for ind in range(0,len(self.jets)):
thisjet=self.jets[ind]
thiscos=self.cosdelta(thistau,thisjet)
if thiscos>cosmax:
cosmax=thiscos
taucand=thisjet
iso=self.jetiso[ind]
tauindex=ind
if cosmax!=-2:
self.taugenjet.append(taucand)
self.tauiso.append(iso)
#self.nontaugenjet.pop(tauindex)
#self.nontaugenjetiso.pop(tauindex)
self.taumatchingjetindex.append(tauindex)
else:
self.taugenjet.append(thistau) # just to fill it up
self.taucos.append(cosmax)
event.tau1genjet = self.taugenjet[0]
event.tau1cosjet = self.taucos[0]
event.tau1iso = self.tauiso[0]
event.tau2genjet = self.taugenjet[1]
event.tau2cosjet = self.taucos[1]
event.tau2iso = self.tauiso[1]
event.tau1matchingjetindex=self.taumatchingjetindex[0]
event.tau2matchingjetindex=self.taumatchingjetindex[1]
# self.nontaugenjet.sort(key=lambda a: a.energy(), reverse = True)
# event.nontaugenjet = self.nontaugenjet
# event.nontaugenjetiso = self.nontaugenjetiso
# debug
# if event.ishtt==1 and event.isHZqq==1:
# print "tau gen:"
#
# print event.tau1
# print event.tau2
#
# print "jets"
# for jet in self.jets:
# print jet
# print "muons"
# for jet in self.muons:
# print jet
# print "electrons"
# for jet in self.electrons:
# print jet
# print "taus"
# for jet in self.hadtaus:
# print jet
# start here the real selection
event.step=0
event.matchedRecGenDistances = []
event.hz = []
# first look for at least four jets and two of them isolated and low #tracks
if event.njets<4:
return
event.step+=1 # 1
#test for jets above threshold
etest = self.testE()
if etest:
self.counters.counter('h_rec').inc('4 jets above threshold')
else:
return
event.step+=1 #2
# print "njets=",event.njets,len(self.jets)
# requires at least 2 taucandidates as isolated jets (0.5) and with 1 or 3 tracks
event.taucand=[]
event.taucandtype=[]
event.taucandiso=[]
event.taucandindex=[]
event.taucandcharge=[]
event.nontaucand=[]
event.nontaucandiso=[]
event.acoll = -99.
event.acopl = -99.
removedjet=[]
# first build up tau dandidates from hadtaus, electrons and muons
# print "#jets,muons,elec,hadtaus:",len(self.jets),len(self.muons),len(self.electrons),len(self.hadtaus)
for ind in range(0,len(self.muons)):
if self.testmuoId(ind):
if self.muoindex[ind] not in removedjet: # be sure you get only one copy
event.taucand.append(self.muons[ind])
event.taucandtype.append(0)
event.taucandiso.append(self.muoiso[ind])
event.taucandindex.append(self.muoindex[ind])
removedjet.append(self.muoindex[ind])
# print "added muon ",event.taucandindex[len(event.taucand)-1]
for ind in range(0,len(self.electrons)):
if self.testeleId(ind):
if self.eleindex[ind] not in removedjet: # prefer muons over ele if belonging to same matched jet
event.taucand.append(self.electrons[ind])
event.taucandtype.append(1)
event.taucandiso.append(self.eleiso[ind])
event.taucandindex.append(self.eleindex[ind])
removedjet.append(self.eleindex[ind])
# print "added ele ",event.taucandindex[len(event.taucand)-1]
for ind in range(0,len(self.hadtaus)):
if self.testhadtauId(ind):
if self.hadtauindex[ind] not in removedjet: # prefer electrons,muons over had taus if belonging to same matched jet
event.taucand.append(self.hadtaus[ind])
event.taucandtype.append(2)
event.taucandiso.append(self.hadtauiso[ind])
event.taucandindex.append(self.hadtauindex[ind])
removedjet.append(self.hadtauindex[ind])
# print "added hadtau ",event.taucandindex[len(event.taucand)-1]
# now we can add the jets not associated to candidate taus (ele, muo, hadtau) to the jet list
for ind in range(0,len(self.jets)):
if ind not in removedjet:
event.nontaucand.append(self.jets[ind])
event.nontaucandiso.append(self.jetiso[ind])
# print "added jet ",event.nontaucand[len(event.nontaucand)-1].energy()
# check for 2 tau candidates
if len(event.taucand)<2:
return
self.counters.counter('h_rec').inc('2 tau candidates')
event.step+=1 #3
if len(event.taucand)==2:
#electrons + muons + charged hadrons
ntr1=self.ntrtaucand(event.taucand[0],event.taucandtype[0])
ntr2=self.ntrtaucand(event.taucand[1],event.taucandtype[1])
if (ntr1*ntr2)!=1 and (ntr1*ntr2)!=3:
return
# now iterate on all possible pairs of tau candidates, if more than two, and keep only the ones which give
# opposite mass closer to Z peak
if len(event.taucand)>2:
dm=9999.
taupair=(-1,-1)
# fit version of tau finding optimization
for ind1, ind2 in itertools.combinations(range(len(event.taucand)), 2):
ntr1=self.ntrtaucand(event.taucand[0],event.taucandtype[0])
ntr2=self.ntrtaucand(event.taucand[1],event.taucandtype[1])
# consider only combination 1,1 1,3 3,1
if (ntr1*ntr2)!=1 and (ntr1*ntr2)!=3:
continue
nt=[]
nj=[]
nt.append(event.taucand[ind1])
nt.append(event.taucand[ind2])
nj=copy.copy(event.nontaucand)
for i in range(len(event.taucand)):
if i!=ind1 and i!=ind2:
nj.append(self.jets[event.taucandindex[i]])
# nt and nj are potential tau and nontaucandidates
# now clusterize the nontaucand
tmpJets=list(self.buildClusteredJets(nj))
# poor man kf
chi2,newjets,newtaus = self.beta4(tmpJets, nt, 120.,False)
jet0=newjets[0]
jet1=newjets[1]
mnontau=(jet0[3]+jet1[3])**2-(jet0[2]+jet1[2])**2-(jet0[1]+jet1[1])**2-(jet0[0]+jet1[0])**2
if mnontau>0:
mnontau=sqrt(mnontau)
else:
mnontau=0
# print ind1,ind2,mnontau
if abs(mnontau-91.2)<dm:
taupair=(ind1,ind2)
dm=abs(mnontau-91.2)
# now we have taupair and we can adapt the candidates
(t1,t2)=taupair
# print "chosen",t1,t2
if t1<0 or t2<0:
return
# print "chosen",t1,t2
t1temp=event.taucand[t1]
t1isotemp=event.taucandiso[t1]
t1typetemp=event.taucandtype[t1]
t1indextemp=event.taucandindex[t1]
t2temp=event.taucand[t2]
t2isotemp=event.taucandiso[t2]
t2typetemp=event.taucandtype[t2]
t2indextemp=event.taucandindex[t2]
for tauind in range(0,len(event.taucand)):
if tauind!=t1 and tauind!=t2:
#remove thsi tau candidate and add it to nontaucandidate
# print "removing ",tauind
event.nontaucand.append(self.jets[event.taucandindex[tauind]])
event.nontaucandiso.append(self.jetiso[event.taucandindex[tauind]])
# cleanup the taucand list
event.taucand=[t1temp,t2temp]
event.taucandiso=[t1isotemp,t2isotemp]
event.taucandtype=[t1typetemp,t2typetemp]
event.taucandindex=[t1indextemp,t2indextemp]
self.counters.counter('h_rec').inc('2 tau candidates good pair')
event.step+=1 #4
#fill jet charges for tau candidates
# for tau in event.taucand:
# print tau.numberOfSourceCandidatePtrs()
# constituents = tau.sourcePtr().getPFConstituents()
# charge = 0
# for constituent in constituents:
# charge += constituent.charge()
# event.taucandcharge.append[charge]
#fill acollinearity for tau candidates
tnorm1 = event.taucand[0].p4().P()
tnorm2 = event.taucand[1].p4().P()
ttdot = event.taucand[0].px()*event.taucand[1].px() + event.taucand[0].py()*event.taucand[1].py() + event.taucand[0].pz()*event.taucand[1].pz()
event.acoll = ttdot/(tnorm1*tnorm2)
#MC matching
if event.ishtt==1 and event.isHZqq==1:
#check the closest gen tau
self.matched=[]
self.matcheddistance=[]
for taucand in event.taucand:
cosmax=-2
for gentau in self.tau:
thiscos=self.cosdelta(taucand,gentau)
if thiscos>cosmax:
cosmax=thiscos
event.matchedRecGenDistances.append(cosmax)
#cluster the remaining part of the event
# self.buildClusteredJets_old(event)
tmpJets=self.buildClusteredJets(event.nontaucand)
# rewrites the jets after clustering
event.nontaucand = []
for jet in tmpJets:
event.nontaucand.append(jet)
# debug
# if event.ishtt==1 and event.isHZqq==1:
# print "tau cand"
# for jet in event.taucand:
# print jet
# print "non taucand"
# for jet in event.nontaucand:
# print jet
jnorm1 = event.nontaucand[0].p4().P()
jnorm2 = event.nontaucand[1].p4().P()
jjdot = event.nontaucand[0].px()*event.nontaucand[1].px() + event.nontaucand[0].py()*event.nontaucand[1].py() + event.nontaucand[0].pz()*event.nontaucand[1].pz()
event.jcoll = jjdot/(jnorm1*jnorm2)
event.btag_tt=0
event.btag_jj=0
# for jet in event.taucand:
# event.btag_tt+=jet.btag(7)
for jet in event.nontaucand:
event.btag_jj+=jet.btag(7)
# store variables before rescaling
event.t1_px=event.taucand[0].px()
event.t1_py=event.taucand[0].py()
event.t1_pz=event.taucand[0].pz()
event.t1_en=event.taucand[0].energy()
event.t2_px=event.taucand[1].px()
event.t2_py=event.taucand[1].py()
event.t2_pz=event.taucand[1].pz()
event.t2_en=event.taucand[1].energy()
# store variables before rescaling
event.j1_px=event.nontaucand[0].px()
event.j1_py=event.nontaucand[0].py()
event.j1_pz=event.nontaucand[0].pz()
event.j1_en=event.nontaucand[0].energy()
event.j2_px=event.nontaucand[1].px()
event.j2_py=event.nontaucand[1].py()
event.j2_pz=event.nontaucand[1].pz()
event.j2_en=event.nontaucand[1].energy()
# print "before rescaling:",event.t1_en,event.t2_en,event.j1_en,event.j2_en
# print "before rescaling from jet:",self.jets[event.taucandindex[0]].energy(),self.jets[event.taucandindex[1]].energy()
#check that the clustered jets pass id (this also does the momentum rescaling)
idpass,newjets,newtaus = self.testId(event.nontaucand, event.taucand,True)
# we need also to replace self.jets px,py,pz (will be used for findww,findzz and findhz)
for ind in range(0,len(event.taucand)):
j_ind=event.taucandindex[ind]
p4=self.jets[j_ind].p4()
p4.SetPxPyPzE(event.taucand[ind].px(),event.taucand[ind].py(),event.taucand[ind].pz(),event.taucand[ind].energy())
self.jets[j_ind].setP4(p4)
#fill acoplanarity between met and the plane containinf the taus
t1 = numpy.array([event.taucand[0].px(), event.taucand[0].py(), event.taucand[0].pz()])
t2 = numpy.array([event.taucand[1].px(), event.taucand[1].py(), event.taucand[1].pz()])
norm = numpy.cross(t1,t2)
#now extract the angle wrt mmissing energy
me = ([-self.px, -self.py, -self.pz])
pscal = numpy.dot(norm,me)
norm_p = numpy.linalg.norm(norm)
me_p = numpy.linalg.norm(me)
if norm_p>0 and me_p>0:
event.acopl = pscal/(norm_p * me_p)
# store variables after rescaling
event.t1s_px=event.taucand[0].px()
event.t1s_py=event.taucand[0].py()
event.t1s_pz=event.taucand[0].pz()
event.t1s_en=event.taucand[0].energy()
event.t2s_px=event.taucand[1].px()
event.t2s_py=event.taucand[1].py()
event.t2s_pz=event.taucand[1].pz()
event.t2s_en=event.taucand[1].energy()
# store variables after rescaling
event.j1s_px=event.nontaucand[0].px()
event.j1s_py=event.nontaucand[0].py()
event.j1s_pz=event.nontaucand[0].pz()
event.j1s_en=event.nontaucand[0].energy()
event.j2s_px=event.nontaucand[1].px()
event.j2s_py=event.nontaucand[1].py()
event.j2s_pz=event.nontaucand[1].pz()
event.j2s_en=event.nontaucand[1].energy()
# print "after rescaling:",event.t1s_en,event.t2s_en,event.j1s_en,event.j2s_en
# print "after rescaling from jet:",self.jets[event.taucandindex[0]].energy(),self.jets[event.taucandindex[1]].energy()
event.mvis = self.mvis
event.px = self.px
event.py = self.py
event.pz = self.pz
event.evis = self.evis
event.chi2 = self.chi2
event.mmin = self.mmin
event.alljets=[]
# print "alljets",len(self.jets),event.taucandindex[0],event.taucandindex[1]
# this is needed to use findXX (for Diobject, otherwise btag is not defined)
event.taucandjets=[self.jets[event.taucandindex[0]],self.jets[event.taucandindex[1]]]
for jet in event.nontaucand:
event.alljets.append(jet)
for jet in event.taucandjets:
event.alljets.append(jet)
#event.alljets contains all jets now (j1,j2,t1,t2)
event.jetPairs = self.findPairs( event.alljets )
event.ww, event.wwMin = self.findWW ( event.jetPairs )
event.zz, event.zzMin = self.findZZ ( event.jetPairs )
if not idpass:
return
self.counters.counter('h_rec').inc('2 jets with id')
event.step+=1 #5
#finally find the HZ candidates
reshz,self.hz = self.findHZ(event.nontaucand, event.taucandjets)
event.hz = self.hz
# print "dijetmass ",event.hz[1].M()
if not reshz:
return
event.step+=1 #6
self.counters.counter('h_rec').inc('passed')
if event.ishtt==1 and event.isHZqq==1:
self.counters.counter('h_gen').inc('Z->qq and h->tt selected')
if event.ishtt==1 and event.isHZbb==1:
self.counters.counter('h_gen').inc('Z->bb and h->tt selected')
# apply btag here
if event.btag_jj<0.95:
return
event.step+=1 #7
if event.ishtt==1 and event.isHZqq==1:
self.counters.counter('h_gen').inc('Z->qq and h->tt b-selected')
if event.ishtt==1 and event.isHZbb==1:
self.counters.counter('h_gen').inc('Z->bb and h->tt b-selected')
return True
def process(self, iEvent, event):
self.readCollections( iEvent )
cmgJets = self.handles['jets'].product()
allJets = []
event.jets = []
event.bJets = []
event.cleanJets = []
event.cleanBJets = []
leptons = []
if hasattr(event, 'selectedLeptons'):
leptons = event.selectedLeptons
genJets = None
if self.cfg_comp.isMC:
genJets = map( GenJet, self.mchandles['genJets'].product() )
for cmgJet in cmgJets:
jet = Jet( cmgJet )
allJets.append( jet )
if self.cfg_comp.isMC and hasattr( self.cfg_comp, 'jetScale'):
scale = random.gauss( self.cfg_comp.jetScale,
self.cfg_comp.jetSmear )
jet.scaleEnergy( scale )
if genJets:
# Use DeltaR = 0.25 matching like JetMET
pairs = matchObjectCollection( [jet], genJets, 0.25*0.25)
if pairs[jet] is None:
pass
else:
jet.matchedGenJet = pairs[jet]
#Add JER correction for MC jets. Requires gen-jet matching.
if self.cfg_comp.isMC and hasattr(self.cfg_ana, 'jerCorr') and self.cfg_ana.jerCorr:
self.jerCorrection(jet)
#Add JES correction for MC jets.
if self.cfg_comp.isMC and hasattr(self.cfg_ana, 'jesCorr'):
self.jesCorrection(jet, self.cfg_ana.jesCorr)
if self.testJet( jet ):
event.jets.append(jet)
if self.testBJet(jet):
event.bJets.append(jet)
self.counters.counter('jets').inc('all events')
event.cleanJets, dummy = cleanObjectCollection( event.jets,
masks = leptons,
deltaRMin = 0.5 )
event.cleanBJets, dummy = cleanObjectCollection( event.bJets,
masks = leptons,
deltaRMin = 0.5 )
pairs = matchObjectCollection( leptons, allJets, 0.5*0.5)
# associating a jet to each lepton
for lepton in leptons:
jet = pairs[lepton]
if jet is None:
lepton.jet = lepton
else:
lepton.jet = jet
# associating a leg to each clean jet
invpairs = matchObjectCollection( event.cleanJets, leptons, 99999. )
for jet in event.cleanJets:
leg = invpairs[jet]
jet.leg = leg
for jet in event.cleanJets:
jet.matchGenParton=999.0
if self.cfg_comp.isMC and "BB" in self.cfg_comp.name:
genParticles = self.mchandles['genParticles'].product()
event.genParticles = map( GenParticle, genParticles)
for gen in genParticles:
if abs(gen.pdgId())==5 and gen.mother() and abs(gen.mother().pdgId())==21:
for jet in event.cleanJets:
dR=deltaR2(jet.eta(), jet.phi(), gen.eta(), gen.phi() )
if dR<jet.matchGenParton:
jet.matchGenParton=dR
event.jets30 = [jet for jet in event.jets if jet.pt()>30]
event.cleanJets30 = [jet for jet in event.cleanJets if jet.pt()>30]
if len( event.jets30 )>=2:
self.counters.counter('jets').inc('at least 2 good jets')
if len( event.cleanJets30 )>=2:
self.counters.counter('jets').inc('at least 2 clean jets')
if len(event.cleanJets)<2:
return True
return True
def process(self, iEvent, event):
self.readCollections( iEvent )
cmgJets = self.handles['jets'].product()
allJets = []
event.jets = []
event.bJets = []
event.cleanJets = []
event.cleanBJets = []
leg1 = event.diLepton.leg1()
leg2 = event.diLepton.leg2()
genJets = None
if self.cfg_comp.isMC:
genJets = map( GenJet, self.mchandles['genJets'].product() )
for cmgJet in cmgJets:
jet = Jet( cmgJet )
allJets.append( jet )
if self.cfg_comp.isMC and hasattr( self.cfg_comp, 'jetScale'):
scale = random.gauss( self.cfg_comp.jetScale,
self.cfg_comp.jetSmear )
jet.scaleEnergy( scale )
if self.testJet( jet ):
event.jets.append(jet)
if self.testBJet(jet):
event.bJets.append(jet)
if genJets:
# Use DeltaR = 0.25 matching like JetMET
pairs = matchObjectCollection( [jet], genJets, 0.25*0.25)
if pairs[jet] is None:
pass
#jet.genJet = None
else:
jet.genJet = pairs[jet]
#Add JER correction for MC jets. Requires gen-jet matching
if self.cfg_comp.isMC and hasattr(self.cfg_ana, 'jerCorr') and self.cfg_ana.jerCorr:
self.jerCorrection(jet)
self.counters.counter('VBF').inc('all events')
event.cleanJets, dummy = cleanObjectCollection( event.jets,
masks = [leg1,
leg2 ],
deltaRMin = 0.5 )
event.cleanBJets, dummy = cleanObjectCollection( event.bJets,
masks = [leg1,
leg2 ],
deltaRMin = 0.5 )
pairs = matchObjectCollection( [ leg1,
leg2 ], allJets, 0.5*0.5)
# associating a jet to each leg
leg1.jet = pairs[leg1]
leg2.jet = pairs[leg2]
if leg1.jet is None: #COLIN: I don't understand the code below...
leg1.jet = leg1
if leg2.jet is None:
leg2.jet = leg2
# associating a leg to each clean jet
invpairs = matchObjectCollection( event.cleanJets, [ leg1,leg2 ], 99999. )
for jet in event.cleanJets:
leg = invpairs[jet]
jet.leg = leg
for jet in event.cleanJets:
jet.matchGenParton=999.0
if self.cfg_comp.isMC and "BB" in self.cfg_comp.name:
genParticles = self.mchandles['genParticles'].product()
event.genParticles = map( GenParticle, genParticles)
for gen in genParticles:
if abs(gen.pdgId())==5 and gen.mother() and abs(gen.mother().pdgId())==21:
for jet in event.cleanJets:
dR=deltaR2(jet.eta(), jet.phi(), gen.eta(), gen.phi() )
if dR<jet.matchGenParton:
jet.matchGenParton=dR
event.jets30 = [jet for jet in event.jets if jet.pt()>30]
event.cleanJets30 = [jet for jet in event.cleanJets if jet.pt()>30]
if len( event.jets30 )>=2:
self.counters.counter('VBF').inc('at least 2 good jets')
if len( event.cleanJets30 )>=2:
self.counters.counter('VBF').inc('at least 2 clean jets')
if len(event.cleanJets)<2:
return True
event.vbf = VBF( event.cleanJets, event.diLepton,
None, self.cfg_ana.cjvPtCut )
if event.vbf.mjj > self.cfg_ana.Mjj:
self.counters.counter('VBF').inc('M_jj > {cut:3.1f}'.format(cut=self.cfg_ana.Mjj) )
else:
return True
if abs(event.vbf.deta) > self.cfg_ana.deltaEta:
self.counters.counter('VBF').inc('delta Eta > {cut:3.1f}'.format(cut=self.cfg_ana.deltaEta) )
else:
return True
if len(event.vbf.centralJets)==0:
self.counters.counter('VBF').inc('no central jets')
else:
return True
return True
def selectionSequence(self,
event,
fillCounter,
leg1IsoCut=None,
leg2IsoCut=None):
if fillCounter: self.counters.counter('DiLepton').inc('all events')
if len(event.diLeptons) == 0:
return False
if fillCounter: self.counters.counter('DiLepton').inc('> 0 di-lepton')
# testing di-lepton itself
selDiLeptons = event.diLeptons
if not self.leptonAccept(event.leptons):
return False
if fillCounter: self.counters.counter('DiLepton').inc('lepton accept')
if not hasattr(event, 'hltPaths'):
event.hltPaths = []
#import pdb ; pdb.set_trace()
matching = {}
for trig in event.hltPaths:
matching.update({trig: [-99, -99,
-99]}) # {trigName:leg1,leg2,jet}
event.diLeptonsTrigMatched = []
for trig in event.hltPaths:
if self.cfg_comp.isEmbed: continue ## no matching for the embed
selDiLeptons = event.diLeptons
if len(self.cfg_comp.triggers) > 0:
# trigger matching leg1
selDiLeptons = [
diL for diL in selDiLeptons
if self.trigMatched(event, diL.leg1(), 'leg1', trig)
]
if len(selDiLeptons) == 0:
matching[trig][0] = 0
else:
if fillCounter:
self.counters.counter('DiLepton').inc(
'leg1 trig matched')
matching[trig][0] = 1
if len(self.cfg_comp.triggers) > 0:
# trigger matching leg2
selDiLeptons = [
diL for diL in selDiLeptons
if self.trigMatched(event, diL.leg2(), 'leg2', trig)
]
if len(selDiLeptons) == 0:
matching[trig][1] = 0
else:
if fillCounter:
self.counters.counter('DiLepton').inc(
'leg2 trig matched')
matching[trig][1] = 1
if len(self.cfg_comp.triggers) > 0 and len(
self.cfg_ana.triggerMap[trig]) > 2:
# trigger matching jet
cmgJets = self.handles['jets'].product()
jets = []
for cmgJet in cmgJets:
jet = Jet(cmgJet)
if self.testJet(jet):
jets.append(jet)
selDiLeptonsNew = []
for diL in selDiLeptons:
cleanJets, dummy = cleanObjectCollection(
jets, masks=[diL.leg1(), diL.leg2()], deltaRMin=0.5)
if len(cleanJets) > 0 and self.trigMatched(
event, cleanJets[0], 'jet', trig):
selDiLeptonsNew += [diL]
selDiLeptons = selDiLeptonsNew
if len(selDiLeptons) == 0:
matching[trig][2] = 0
else:
if fillCounter:
self.counters.counter('DiLepton').inc(
'jet trig matched')
matching[trig][2] = 1
event.diLeptonsTrigMatched += selDiLeptons
event.diLeptonsTrigMatched = set(event.diLeptonsTrigMatched)
### need unix style wild card to macth different trigger versions in data
for trig in matching.keys():
if fnm(trig, 'HLT_DoubleMediumIsoPFTau35_Trk*_eta2p1_v*'):
event.l1TrigMatched_diTau = matching[trig][0]
event.l2TrigMatched_diTau = matching[trig][1]
if fnm(trig, 'HLT_DoubleMediumIsoPFTau*_Trk*_eta2p1_Jet30_v*'):
event.l1TrigMatched_diTauJet = matching[trig][0]
event.l2TrigMatched_diTauJet = matching[trig][1]
event.jetTrigMatched_diTauJet = matching[trig][2]
# testing leg1
selDiLeptons = [
diL for diL in selDiLeptons if self.testLeg(diL.leg1())
]
if len(selDiLeptons) == 0:
return False
else:
if fillCounter:
self.counters.counter('DiLepton').inc(
'leg1 offline cuts passed')
# testing leg2
selDiLeptons = [
diL for diL in selDiLeptons if self.testLeg(diL.leg2())
]
if len(selDiLeptons) == 0:
return False
else:
if fillCounter:
self.counters.counter('DiLepton').inc(
'leg2 offline cuts passed')
# mass cut
selDiLeptons = [diL for diL in selDiLeptons if self.testMass(diL)]
if len(selDiLeptons) == 0:
return False
else:
if fillCounter:
self.counters.counter('DiLepton').inc(
'{min:3.1f} < m < {max:3.1f}'.format(
min=self.cfg_ana.m_min, max=self.cfg_ana.m_max))
# exactly one?
if len(selDiLeptons) == 0:
return False
elif len(selDiLeptons) == 1:
if fillCounter:
self.counters.counter('DiLepton').inc('exactly 1 di-lepton')
event.diLepton = self.bestDiLepton(selDiLeptons)
event.leg1 = event.diLepton.leg1()
event.leg2 = event.diLepton.leg2()
# match with L1 particles, whether Central Jets or Taus
L1Taus = self.handles['L1JetsTau'].product()
L1Jets = self.handles['L1JetsCentral'].product()
L1dR1T, L1dR2T, index1T, index2T = self.match(event.diLepton, L1Taus)
L1dR1J, L1dR2J, index1J, index2J = self.match(event.diLepton, L1Jets)
if L1dR1T < L1dR1J and L1dR1T <= 0.5:
if L1Taus[index1T].pt() > 44. and abs(L1Taus[index1T].eta()) < 2.1:
event.leg1.L1particle = L1Taus[index1T]
if L1dR1J < L1dR1T and L1dR1J <= 0.5:
if L1Jets[index1J].pt() > 64.:
event.leg1.L1particle = L1Jets[index1J]
if L1dR2T < L1dR2J and L1dR2T <= 0.5:
if L1Taus[index2T].pt() > 44. and abs(L1Taus[index2T].eta()) < 2.1:
event.leg2.L1particle = L1Taus[index2T]
if L1dR2J < L1dR2T and L1dR2J <= 0.5:
if L1Jets[index2J].pt() > 64.:
event.leg2.L1particle = L1Jets[index2J]
### require trigger bit in Embedded RecHit
if self.cfg_comp.isEmbed:
#if len(event.hltPath)==0 : return False
if not event.hltPath: return False
#import pdb ; pdb.set_trace()
return True
def process(self, iEvent, event):
self.readCollections(iEvent)
eventNumber = iEvent.eventAuxiliary().id().event()
myEvent = Event(event.iEv)
setattr(event, self.name, myEvent)
event = myEvent
self.buildMCinfo(event)
self.counters.counter('h_gen').inc('All events')
self.counters.counter('h_rec').inc('All events')
if self.isHZ: self.counters.counter('h_gen').inc('All hz events')
if len(self.tau) == 2:
self.counters.counter('h_gen').inc('h->tt')
if self.isHZqq:
self.counters.counter('h_gen').inc('Z->qq and h->tt')
if self.isHZbb:
self.counters.counter('h_gen').inc('Z->bb and h->tt')
event.isHZ = 0
event.isHZqq = 0
event.isHZbb = 0
if self.isHZ:
event.isHZ = 1
event.H = self.H
event.Z = self.Z
if self.isHZqq:
event.isHZqq = 1
if self.isHZbb:
event.isHZbb = 1
event.ishtt = 0
if len(self.tau) == 2:
event.ishtt = 1
event.tau1 = self.tau[0]
event.tau2 = self.tau[1]
#save the two leading muons and the two leading electrons
self.muons = []
for muon in self.handles['muons'].product():
self.muons.append(Muon(muon))
self.muons.sort(key=lambda a: a.energy(), reverse=True)
event.leadingMuons = []
for muon in self.muons:
if len(event.leadingMuons) >= 2: break
event.leadingMuons.append(muon)
self.electrons = []
for electron in self.handles['electrons'].product():
self.electrons.append(Electron(electron))
self.electrons.sort(key=lambda a: a.energy(), reverse=True)
event.leadingElectrons = []
for electron in self.electrons:
if len(event.leadingElectrons) >= 2: break
event.leadingElectrons.append(electron)
# prepare jets ordered in energy
self.jets = []
for ptj in self.handles['jets'].product():
self.jets.append(Jet(ptj))
# order them in energy
self.jets.sort(key=lambda a: a.energy(), reverse=True)
event.njets = len(self.jets)
# loop over jets and define "isolation"
self.jetiso = []
for ind1 in range(0, len(self.jets)):
cosmax = -2
for ind2 in range(ind1 + 1, len(self.jets)):
cos = self.cosdelta(self.jets[ind1], self.jets[ind2])
if cos > cosmax:
cosmax = cos
self.jetiso.append(cosmax)
# # prepare electrons ordered in energy
# self.electrons=[]
# for ptj in self.handles['electrons'].product():
# self.electrons.append(Electron(ptj))
#
# # order them in energy
# self.electrons.sort(key=lambda a: a.energy(), reverse = True)
#
# # loop over electron and define "isolation"
# self.eleiso=[]
# for ind1 in range(0,len(self.electrons)):
# cosmax=-2
# for ind2 in range(ind1+1,len(self.jets)):
# cos=self.cosdelta(self.electrons[ind1],self.jets[ind2])
# if cos> cosmax:
# cosmax=cos
# self.eleiso.append(cosmax)
#
# # prepare muons ordered in energy
# self.muons=[]
# for ptj in self.handles['muons'].product():
# self.muons.append(Electron(ptj))
#
# # order them in energy
# self.muons.sort(key=lambda a: a.energy(), reverse = True)
#
# # loop over jets and define "isolation"
# self.muoiso=[]
# for ind1 in range(0,len(self.muons)):
# cosmax=-2
# for ind2 in range(ind1+1,len(self.jets)):
# cos=self.cosdelta(self.muons[ind1],self.jets[ind2])
# if cos> cosmax:
# cosmax=cos
# self.muoiso.append(cosmax)
# look now at the tau jets
self.taugenjet = []
self.taucos = []
self.tauiso = []
self.taumatchingjetindex = []
# self.nontaugenjet = copy.copy(self.jets)
# self.nontaugenjetiso = copy.copy(self.jetiso)
if event.ishtt == 1:
# loop over jets and find closest gen tau
if event.njets >= 2:
for thistau in self.tau:
cosmax = -2
tauindex = -10
for ind in range(0, len(self.jets)):
thisjet = self.jets[ind]
thiscos = self.cosdelta(thistau, thisjet)
if thiscos > cosmax:
cosmax = thiscos
taucand = thisjet
iso = self.jetiso[ind]
tauindex = ind
if cosmax != -2:
self.taugenjet.append(taucand)
self.tauiso.append(iso)
#self.nontaugenjet.pop(tauindex)
#self.nontaugenjetiso.pop(tauindex)
self.taumatchingjetindex.append(tauindex)
else:
self.taugenjet.append(thistau) # just to fill it up
self.taucos.append(cosmax)
event.tau1genjet = self.taugenjet[0]
event.tau1cosjet = self.taucos[0]
event.tau1iso = self.tauiso[0]
event.tau2genjet = self.taugenjet[1]
event.tau2cosjet = self.taucos[1]
event.tau2iso = self.tauiso[1]
event.tau1matchingjetindex = self.taumatchingjetindex[0]
event.tau2matchingjetindex = self.taumatchingjetindex[1]
# self.nontaugenjet.sort(key=lambda a: a.energy(), reverse = True)
# event.nontaugenjet = self.nontaugenjet
# event.nontaugenjetiso = self.nontaugenjetiso
# start here the real selection
event.step = 0
event.matchedRecGenDistances = []
event.hz = []
# first look for at least four jets and two of them isolated and low #tracks
if event.njets < 4:
return
event.step += 1 # 1
#test for jets above threshold
etest = self.testE()
if etest:
self.counters.counter('h_rec').inc('4 jets above threshold')
else:
return
event.step += 1 #2
# print "njets=",event.njets,len(self.jets)
# requires at least 2 taucandidates as isolated jets (0.5) and with 1,2 or 3 tracks
event.taucand = []
event.taucandiso = []
event.taucandcharge = []
event.nontaucand = []
event.nontaucandiso = []
event.acoll = -99.
event.acopl = -99.
for ind in range(0, len(self.jets)):
# print "evaluating ",ind
# ntrk=self.jets[ind].component(1).number()
# the two most energetic jets are not considered among taus
# if ind>=2 and ntrk>0 and ntrk<=3 and self.jetiso[ind]<0.5 and len(event.taucand)<2:
# if ntrk>=1 and ntrk<=3 and self.jetiso[ind]<0.8 and len(event.taucand)<2:
# if ntrk>=0 and ntrk<=3 and self.jetiso[ind]<0.5 and len(event.taucand)<2:
# if ntrk>=1 and ntrk<=3 and self.jetiso[ind]<0.9:
# if ntrk>=1 and ntrk<=3:
# if ntrk==1 or ntrk==3:
if self.testTauId(self.jets[ind]):
event.taucand.append(self.jets[ind])
event.taucandiso.append(self.jetiso[ind])
# print "adding to tau"
else:
event.nontaucand.append(self.jets[ind])
event.nontaucandiso.append(self.jetiso[ind])
# print "adding to non tau"
# check for 2 tau candidates
if len(event.taucand) < 2:
return
self.counters.counter('h_rec').inc('2 tau candidates')
event.step += 1 #3
if len(event.taucand) == 2:
#electrons + muons + charged hadrons
ntr1 = event.taucand[0].component(
1).number() + event.taucand[0].component(
2).number() + event.taucand[0].component(3).number()
ntr2 = event.taucand[1].component(
1).number() + event.taucand[1].component(
2).number() + event.taucand[1].component(3).number()
if (ntr1 * ntr2) != 1 and (ntr1 * ntr2) != 3:
return
# now iterate on all possible pairs of tau candidates, if more than two, and keep only the ones which give
# opposite mass closer to Z peak
if len(event.taucand) > 2:
dm = 9999.
taupair = (-1, -1)
# fit version of tau finding optimization
for ind1, ind2 in itertools.combinations(range(len(event.taucand)),
2):
ntr1 = event.taucand[ind1].component(
1).number() + event.taucand[ind1].component(2).number(
) + event.taucand[ind1].component(3).number()
ntr2 = event.taucand[ind2].component(
1).number() + event.taucand[ind2].component(2).number(
) + event.taucand[ind2].component(3).number()
# consider only combination 1,1 1,3 3,1
if (ntr1 * ntr2) != 1 and (ntr1 * ntr2) != 3:
continue
nt = []
nj = []
nt.append(event.taucand[ind1])
nt.append(event.taucand[ind2])
nj = copy.copy(event.nontaucand)
for i in range(len(event.taucand)):
if i != ind1 and i != ind2:
nj.append(event.taucand[i])
# nt and nj are potential tau and nontaucandidates
# now clusterize the nontaucand
tmpJets = list(self.buildClusteredJets(nj))
# poor man kf
chi2, newjets, newtaus = self.beta4(tmpJets, nt, 120., False)
jet0 = newjets[0]
jet1 = newjets[1]
mnontau = (jet0[3] + jet1[3])**2 - (jet0[2] + jet1[2])**2 - (
jet0[1] + jet1[1])**2 - (jet0[0] + jet1[0])**2
if mnontau > 0:
mnontau = sqrt(mnontau)
else:
mnontau = 0
# print ind1,ind2,mnontau
if abs(mnontau - 91.2) < dm:
taupair = (ind1, ind2)
dm = abs(mnontau - 91.2)
# poor man optimization of tau candidates
# first sum-up nontaucand momentum
# pnontau=[0,0,0,0]
# for jet in event.nontaucand:
# pnontau[0]+=jet.px()
# pnontau[1]+=jet.py()
# pnontau[2]+=jet.pz()
# pnontau[3]+=jet.energy()
# for ind1, ind2 in itertools.combinations(range(len(event.taucand)), 2):
# ntr1=event.taucand[ind1].component(1).number()
# ntr2=event.taucand[ind2].component(1).number()
# if (ntr1*ntr2)!=1 and (ntr1*ntr2)!=3:
# continue
# ptau=[0,0,0,0]
# for tauind in range(0,len(event.taucand)):
# if tauind!=ind1 and tauind!=ind2:
# ptau[0]+=event.taucand[tauind].px()
# ptau[1]+=event.taucand[tauind].py()
# ptau[2]+=event.taucand[tauind].pz()
# ptau[3]+=event.taucand[tauind].energy()
# pall=[0,0,0,0]
# for comp in range(0,4): pall[comp]=pnontau[comp]+ptau[comp]
# mnontau=pall[3]**2-pall[0]**2-pall[1]**2-pall[2]**2
# if mnontau<0: mnontau=0
# mnontau=sqrt(mnontau)
# # print ind1,ind2,mnontau
# if abs(mnontau-91.2)<dm:
# taupair=(ind1,ind2)
# dm=abs(mnontau-91.2)
# now we have taupair and we can adapt the candidates
(t1, t2) = taupair
# print "chosen",t1,t2
if t1 < 0 or t2 < 0:
return
# print "chosen",t1,t2
t1temp = event.taucand[t1]
t1isotemp = event.taucandiso[t1]
t2temp = event.taucand[t2]
t2isotemp = event.taucandiso[t2]
for tauind in range(0, len(event.taucand)):
if tauind != t1 and tauind != t2:
#remove thsi tau candidate and add it to nontaucandidate
# print "removing ",tauind
event.nontaucand.append(event.taucand[tauind])
event.nontaucandiso.append(event.taucandiso[tauind])
# cleanup the taucand list
event.taucand = [t1temp, t2temp]
event.taucandiso = [t1isotemp, t2isotemp]
self.counters.counter('h_rec').inc('2 tau candidates good pair')
event.step += 1 #4
#fill jet charges for tau candidates
# for tau in event.taucand:
# print tau.numberOfSourceCandidatePtrs()
# constituents = tau.sourcePtr().getPFConstituents()
# charge = 0
# for constituent in constituents:
# charge += constituent.charge()
# event.taucandcharge.append[charge]
#fill acollinearity for tau candidates
tnorm1 = event.taucand[0].p4().P()
tnorm2 = event.taucand[1].p4().P()
ttdot = event.taucand[0].px() * event.taucand[1].px(
) + event.taucand[0].py() * event.taucand[1].py(
) + event.taucand[0].pz() * event.taucand[1].pz()
event.acoll = ttdot / (tnorm1 * tnorm2)
#MC matching
if event.ishtt == 1 and event.isHZqq == 1:
#check the closest gen tau
self.matched = []
self.matcheddistance = []
for taucand in event.taucand:
cosmax = -2
for gentau in self.tau:
thiscos = self.cosdelta(taucand, gentau)
if thiscos > cosmax:
cosmax = thiscos
event.matchedRecGenDistances.append(cosmax)
#cluster the remaining part of the event
# self.buildClusteredJets_old(event)
tmpJets = self.buildClusteredJets(event.nontaucand)
# rewrites the jets after clustering
event.nontaucand = []
for jet in tmpJets:
event.nontaucand.append(jet)
jnorm1 = event.nontaucand[0].p4().P()
jnorm2 = event.nontaucand[1].p4().P()
jjdot = event.nontaucand[0].px() * event.nontaucand[1].px(
) + event.nontaucand[0].py() * event.nontaucand[1].py(
) + event.nontaucand[0].pz() * event.nontaucand[1].pz()
event.jcoll = jjdot / (jnorm1 * jnorm2)
event.btag_tt = 0
event.btag_jj = 0
for jet in event.taucand:
event.btag_tt += jet.btag(7)
for jet in event.nontaucand:
event.btag_jj += jet.btag(7)
# store variables before rescaling
event.t1_px = event.taucand[0].px()
event.t1_py = event.taucand[0].py()
event.t1_pz = event.taucand[0].pz()
event.t1_en = event.taucand[0].energy()
event.t2_px = event.taucand[1].px()
event.t2_py = event.taucand[1].py()
event.t2_pz = event.taucand[1].pz()
event.t2_en = event.taucand[1].energy()
# store variables before rescaling
event.j1_px = event.nontaucand[0].px()
event.j1_py = event.nontaucand[0].py()
event.j1_pz = event.nontaucand[0].pz()
event.j1_en = event.nontaucand[0].energy()
event.j2_px = event.nontaucand[1].px()
event.j2_py = event.nontaucand[1].py()
event.j2_pz = event.nontaucand[1].pz()
event.j2_en = event.nontaucand[1].energy()
#check that the clustered jets pass id (this also does the momentum rescaling)
idpass, newjets, newtaus = self.testId(event.nontaucand, event.taucand,
True)
#fill acoplanarity between met and the plane containinf the taus
t1 = numpy.array([
event.taucand[0].px(), event.taucand[0].py(),
event.taucand[0].pz()
])
t2 = numpy.array([
event.taucand[1].px(), event.taucand[1].py(),
event.taucand[1].pz()
])
norm = numpy.cross(t1, t2)
#now extract the angle wrt mmissing energy
me = ([-self.px, -self.py, -self.pz])
pscal = numpy.dot(norm, me)
norm_p = numpy.linalg.norm(norm)
me_p = numpy.linalg.norm(me)
if norm_p > 0 and me_p > 0:
event.acopl = pscal / (norm_p * me_p)
# store variables after rescaling
event.t1s_px = event.taucand[0].px()
event.t1s_py = event.taucand[0].py()
event.t1s_pz = event.taucand[0].pz()
event.t1s_en = event.taucand[0].energy()
event.t2s_px = event.taucand[1].px()
event.t2s_py = event.taucand[1].py()
event.t2s_pz = event.taucand[1].pz()
event.t2s_en = event.taucand[1].energy()
# store variables after rescaling
event.j1s_px = event.nontaucand[0].px()
event.j1s_py = event.nontaucand[0].py()
event.j1s_pz = event.nontaucand[0].pz()
event.j1s_en = event.nontaucand[0].energy()
event.j2s_px = event.nontaucand[1].px()
event.j2s_py = event.nontaucand[1].py()
event.j2s_pz = event.nontaucand[1].pz()
event.j2s_en = event.nontaucand[1].energy()
event.mvis = self.mvis
event.px = self.px
event.py = self.py
event.pz = self.pz
event.evis = self.evis
event.chi2 = self.chi2
event.mmin = self.mmin
event.alljets = []
for jet in event.nontaucand:
event.alljets.append(jet)
for jet in event.taucand:
event.alljets.append(jet)
#event.alljets contains all jets now (j1,j2,t1,t2)
event.jetPairs = self.findPairs(event.alljets)
event.ww, event.wwMin = self.findWW(event.jetPairs)
event.zz, event.zzMin = self.findZZ(event.jetPairs)
if not idpass:
return
self.counters.counter('h_rec').inc('2 jets with id')
event.step += 1 #5
#finally find the HZ candidates
reshz, self.hz = self.findHZ(event.nontaucand, event.taucand)
event.hz = self.hz
# print "dijetmass ",event.hz[1].M()
if not reshz:
return
event.step += 1 #6
self.counters.counter('h_rec').inc('passed')
if event.ishtt == 1 and event.isHZqq == 1:
self.counters.counter('h_gen').inc('Z->qq and h->tt selected')
if event.ishtt == 1 and event.isHZbb == 1:
self.counters.counter('h_gen').inc('Z->bb and h->tt selected')
# apply btag here
if event.btag_jj < 0.95:
return
event.step += 1 #7
if event.ishtt == 1 and event.isHZqq == 1:
self.counters.counter('h_gen').inc('Z->qq and h->tt b-selected')
if event.ishtt == 1 and event.isHZbb == 1:
self.counters.counter('h_gen').inc('Z->bb and h->tt b-selected')
return True
def buildLeptonList(self, event):
self.eleele = False
self.mumu = False
self.tautau = False
self.electrons = []
self.muons = []
self.taus = []
for ptc in self.mchandles['genParticles'].product():
isElectron = abs(ptc.pdgId()) == 11
isMuon = abs(ptc.pdgId()) == 13
isTau = abs(ptc.pdgId()) == 15
if isElectron:
if ptc.numberOfMothers() and ptc.mother(0).pdgId() != 23:
continue
self.electrons.append(GenParticle(ptc))
if isMuon:
if ptc.numberOfMothers() and ptc.mother(0).pdgId() != 23:
continue
self.muons.append(GenParticle(ptc))
if isTau:
if ptc.numberOfMothers() and ptc.mother(0).pdgId() != 23:
continue
self.taus.append(GenParticle(ptc))
if len(self.electrons) == 2:
self.eleele = True
if len(self.muons) == 2:
self.mumu = True
if len(self.taus) == 2:
self.tautau = True
event.eleele = self.eleele
event.mumu = self.mumu
event.tautau = self.tautau
self.jets = []
for ptj in self.handles['jets'].product():
self.jets.append(Jet(ptj))
self.leptons = []
for pte in self.handles['electrons'].product():
self.leptons.append(Lepton(pte))
for ptm in self.handles['muons'].product():
self.leptons.append(Lepton(ptm))
self.photons = []
for ptg in self.handles['photons'].product():
if ptg.energy() > 1.0: self.photons.append(Photon(ptg))
# Find FSR
tmpLept = set(self.leptons)
for lept in self.leptons:
leptonIso = self.leptonIso(lept)
if leptonIso > 0.05:
tmpLept.remove(lept)
continue
#if (self.eleele or self.mumu or self.tautau ) :
# print self.eleele, self.mumu, self.tautau,lept, leptonIso
for i, ph in enumerate(self.photons):
dr = deltaR(lept.eta(), lept.phi(), ph.eta(), ph.phi())
if abs(lept.pdgId()) == 13 and dr < 0.4:
#print 'found ISR ',ph,lept
leph = lept.p4()
p4ph = ph.p4()
p4 = ph.p4() + lept.p4()
lept.setP4(p4)
#print 'added ISR ',ph,lept
self.leptons = []
for lept in tmpLept:
self.leptons.append(lept)
for lept in self.leptons:
drmin = 999.
ijet = -1
for i, jet in enumerate(self.jets):
dr = deltaR(lept.eta(), lept.phi(), jet.eta(), jet.phi())
if dr < drmin:
drmin = dr
ijet = i
if ijet >= 0:
if drmin < 0.1:
self.jets[ijet].setP4(lept.p4())
self.jets[ijet].setPdgId(lept.pdgId())
def process(self, iEvent, event):
self.readCollections( iEvent )
cmgJets = self.handles['jets'].product()
print 'cmgJets = ', len(cmgJets)
allJets = []
event.jets = []
event.bJets = []
event.cleanJets = []
event.cleanBJets = []
# import pdb; pdb.set_trace();
leptons = []
if hasattr(event, 'selectedLeptons'):
leptons = event.selectedLeptons
# elif hasattr(event, 'muoncand'):
## leptons = event.muoncand + event.electroncand + event.taucand
# leptons = event.muon + event.electron + event.tau
# print '# of leptons = ', len(leptons)
genJets = None
if self.cfg_comp.isMC:
genJets = map( GenJet, self.mchandles['genJets'].product() )
for cmgJet in cmgJets:
jet = Jet( cmgJet )
allJets.append( jet )
if self.cfg_comp.isMC and hasattr( self.cfg_comp, 'jetScale'):
scale = random.gauss( self.cfg_comp.jetScale,
self.cfg_comp.jetSmear )
jet.scaleEnergy( scale )
if genJets:
# Use DeltaR = 0.25 matching like JetMET
pairs = matchObjectCollection( [jet], genJets, 0.25*0.25)
if pairs[jet] is None:
pass
#jet.genJet = None
else:
jet.genJet = pairs[jet]
# print jet, jet.genJet
#Add JER correction for MC jets. Requires gen-jet matching.
if self.cfg_comp.isMC and hasattr(self.cfg_ana, 'jerCorr') and self.cfg_ana.jerCorr:
self.jerCorrection(jet)
#Add JES correction for MC jets.
if self.cfg_comp.isMC and hasattr(self.cfg_ana, 'jesCorr'):
self.jesCorrection(jet, self.cfg_ana.jesCorr)
if self.testJet( jet ):
event.jets.append(jet)
if self.testBJet(jet):
event.bJets.append(jet)
self.counters.counter('jets').inc('all events')
# print 'check =', len(event.muon), len(event,electron), len(event.tau)
# if isinstance(event.muoncand, list):
# event.cleanBJets, dummy = cleanObjectCollection( event.bJets,
# masks = event.muoncand,
# deltaRMin = 0.4 )
#
# event.cleanJets, dummy = cleanObjectCollection( event.jets,
# masks = event.muoncand,
# deltaRMin = 0.4 )
#
# else:
# event.cleanBJets, dummy = cleanObjectCollection( event.bJets,
# masks = [event.muoncand],
# deltaRMin = 0.4 )
#
# event.cleanJets, dummy = cleanObjectCollection( event.jets,
# masks = [event.muoncand],
# deltaRMin = 0.4 )
#
# if isinstance(event.electroncand, list):
# event.cleanBJets, dummy = cleanObjectCollection( event.cleanBJets,
# masks = event.electroncand,
# deltaRMin = 0.4 )
#
# event.cleanJets, dummy = cleanObjectCollection( event.cleanJets,
# masks = event.electroncand,
# deltaRMin = 0.4 )
#
# else:
# event.cleanBJets, dummy = cleanObjectCollection( event.cleanBJets,
# masks = [event.electroncand],
# deltaRMin = 0.4 )
#
#
# event.cleanJets, dummy = cleanObjectCollection( event.cleanJets,
# masks = [event.electroncand],
# deltaRMin = 0.4 )
#
#
# if isinstance(event.taucand, list):
# event.cleanBJets, dummy = cleanObjectCollection( event.cleanBJets,
# masks = event.taucand,
# deltaRMin = 0.4 )
#
# event.cleanJets, dummy = cleanObjectCollection( event.cleanJets,
# masks = event.taucand,
# deltaRMin = 0.4 )
#
# else:
# event.cleanBJets, dummy = cleanObjectCollection( event.cleanBJets,
# masks = [event.taucand],
# deltaRMin = 0.4 )
#
#
# event.cleanJets, dummy = cleanObjectCollection( event.cleanJets,
# masks = [event.taucand],
# deltaRMin = 0.4 )
pairs = matchObjectCollection( leptons, allJets, 0.5*0.5)
# associating a jet to each lepton
for lepton in leptons:
jet = pairs[lepton]
if jet is None:
lepton.jet = lepton
else:
lepton.jet = jet
# associating a leg to each clean jet
invpairs = matchObjectCollection( event.cleanJets, leptons, 99999. )
for jet in event.cleanJets:
leg = invpairs[jet]
jet.leg = leg
for jet in event.cleanJets:
jet.matchGenParton=999.0
if self.cfg_comp.isMC and "BB" in self.cfg_comp.name:
genParticles = self.mchandles['genParticles'].product()
event.genParticles = map( GenParticle, genParticles)
for gen in genParticles:
if abs(gen.pdgId())==5 and gen.mother() and abs(gen.mother().pdgId())==21:
for jet in event.cleanJets:
dR=deltaR2(jet.eta(), jet.phi(), gen.eta(), gen.phi() )
if dR<jet.matchGenParton:
jet.matchGenParton=dR
event.jets30 = [jet for jet in event.jets if jet.pt()>30]
event.cleanJets30 = [jet for jet in event.cleanJets if jet.pt()>30]
# if len( event.jets30 )>=2:
# self.counters.counter('jets').inc('at least 2 good jets')
# if len( event.cleanJets30 )>=2:
# self.counters.counter('jets').inc('at least 2 clean jets')
event.cleanJets = event.jets
event.cleanBJets = event.bJets
# print 'cleanJets = ', len(event.jets)
# print 'clean_bJets = ', len(event.bJets)
# if len(event.bJets)>0:
# if len(event.cleanBJets)>0:
# import pdb; pdb.set_trace()
# return False
self.counters.counter('jets').inc('No b jets')
return True
def selectionSequence(self,
event,
fillCounter,
leg1IsoCut=None,
leg2IsoCut=None):
if fillCounter: self.counters.counter('DiLepton').inc('all events')
if len(event.diLeptons) == 0:
return False
if fillCounter: self.counters.counter('DiLepton').inc('> 0 di-lepton')
# testing di-lepton itself
selDiLeptons = event.diLeptons
if not self.leptonAccept(event.leptons):
return False
if fillCounter: self.counters.counter('DiLepton').inc('lepton accept')
## for embedded no hltPaths (for now)
if not hasattr(event, 'hltPaths'):
event.hltPaths = []
matching = {}
for trig in event.hltPaths:
matching.update({trig: [-99, -99,
-99]}) # {trigName:leg1,leg2,jet}
event.diLeptonsTrigMatched = []
for trig in event.hltPaths:
if self.cfg_comp.isEmbed: continue ## no matching for the embed
selDiLeptons = event.diLeptons
if len(self.cfg_comp.triggers) > 0:
# trigger matching leg1
selDiLeptons = [
diL for diL in selDiLeptons
if self.trigMatched(event, diL.leg1(), 'leg1', trig)
]
if len(selDiLeptons) == 0:
matching[trig][0] = 0
else:
if fillCounter:
self.counters.counter('DiLepton').inc(
'leg1 trig matched')
matching[trig][0] = 1
if len(self.cfg_comp.triggers) > 0:
# trigger matching leg2
selDiLeptons = [
diL for diL in selDiLeptons
if self.trigMatched(event, diL.leg2(), 'leg2', trig)
]
if len(selDiLeptons) == 0:
matching[trig][1] = 0
else:
if fillCounter:
self.counters.counter('DiLepton').inc(
'leg2 trig matched')
matching[trig][1] = 1
if len(self.cfg_comp.triggers) > 0 and len(
self.cfg_ana.triggerMap[trig]) > 2:
# trigger matching jet
cmgJets = self.handles['jets'].product()
jets = []
for cmgJet in cmgJets:
jet = Jet(cmgJet)
if self.testJet(jet):
jets.append(jet)
selDiLeptonsNew = []
for diL in selDiLeptons:
cleanJets, dummy = cleanObjectCollection(
jets, masks=[diL.leg1(), diL.leg2()], deltaRMin=0.5)
if len(cleanJets) > 0 and self.trigMatched(
event, cleanJets[0], 'jet', trig):
selDiLeptonsNew += [diL]
selDiLeptons = selDiLeptonsNew
if len(selDiLeptons) == 0:
matching[trig][2] = 0
else:
if fillCounter:
self.counters.counter('DiLepton').inc(
'jet trig matched')
matching[trig][2] = 1
event.diLeptonsTrigMatched += selDiLeptons
event.diLeptonsTrigMatched = set(event.diLeptonsTrigMatched)
### need unix style wild card to macth different trigger versions in data
for trig in matching.keys():
if fnm(trig, 'HLT_DoubleMediumIsoPFTau35_Trk*_eta2p1_v*'):
event.l1TrigMatched_diTau = matching[trig][0]
event.l2TrigMatched_diTau = matching[trig][1]
if fnm(trig, 'HLT_DoubleMediumIsoPFTau*_Trk*_eta2p1_Jet30_v*'):
event.l1TrigMatched_diTauJet = matching[trig][0]
event.l2TrigMatched_diTauJet = matching[trig][1]
event.jetTrigMatched_diTauJet = matching[trig][2]
# testing leg1
selDiLeptons = [
diL for diL in selDiLeptons if self.testLeg(diL.leg1())
]
if len(selDiLeptons) == 0:
return False
else:
if fillCounter:
self.counters.counter('DiLepton').inc(
'leg1 offline cuts passed')
# testing leg2
selDiLeptons = [
diL for diL in selDiLeptons if self.testLeg(diL.leg2())
]
if len(selDiLeptons) == 0:
return False
else:
if fillCounter:
self.counters.counter('DiLepton').inc(
'leg2 offline cuts passed')
# mass cut
selDiLeptons = [diL for diL in selDiLeptons if self.testMass(diL)]
if len(selDiLeptons) == 0:
return False
else:
if fillCounter:
self.counters.counter('DiLepton').inc(
'{min:3.1f} < m < {max:3.1f}'.format(
min=self.cfg_ana.m_min, max=self.cfg_ana.m_max))
# exactly one?
if len(selDiLeptons) == 0:
return False
elif len(selDiLeptons) == 1:
if fillCounter:
self.counters.counter('DiLepton').inc('exactly 1 di-lepton')
event.diLepton = self.bestDiLepton(selDiLeptons)
event.leg1 = event.diLepton.leg1()
event.leg2 = event.diLepton.leg2()
### require trigger bit in Embedded RecHit
if self.cfg_comp.isEmbed:
if not event.hltPath: return False
if "DY" in self.cfg_comp.name or "Higgs" in self.cfg_comp.name or self.cfg_comp.isEmbed:
if event.leg1.decayMode() == 0:
event.leg1.prongWeight = 0.88
else:
event.leg1.prongWeight = 1.
if event.leg2.decayMode() == 0:
event.leg2.prongWeight = 0.88
else:
event.leg2.prongWeight = 1.
#import pdb ; pdb.set_trace()
return True
def buildLeptonList(self, event):
self.hadtaus = []
for ptj in self.handles['taus'].product():
thistau = Tau(ptj)
# add only "good" pftaus
if thistau.tauID("decayModeFinding") != 1.0:
continue
if thistau.tauID("byVLooseCombinedIsolationDeltaBetaCorr") <= 0.:
continue
self.hadtaus.append(Tau(ptj))
self.jets = []
for ptj in self.handles['jets'].product():
# check if they are close to jets and then remove them from the jet list
thisjet = Jet(ptj)
matched = False
# use the following if you want to remove hadtaus from jets
# for tau in self.hadtaus:
# if deltaR(tau.eta(),tau.phi(),thisjet.eta(),thisjet.phi()) < 0.2:
# matched=True
# break
if not matched:
self.jets.append(Jet(ptj))
self.leptons = []
for pte in self.handles['electrons'].product():
self.leptons.append(Lepton(pte))
for ptm in self.handles['muons'].product():
self.leptons.append(Lepton(ptm))
self.photons = []
for ptg in self.handles['photons'].product():
if ptg.energy() > 1.0: self.photons.append(Photon(ptg))
# Find FSR
tmpLept = set(self.leptons)
for lept in self.leptons:
leptonIso = self.leptonIso(lept)
if leptonIso > 0.05:
tmpLept.remove(lept)
continue
#if (self.eleele or self.mumu or self.tautau ) :
# print self.eleele, self.mumu, self.tautau,lept, leptonIso
for i, ph in enumerate(self.photons):
dr = deltaR(lept.eta(), lept.phi(), ph.eta(), ph.phi())
if abs(lept.pdgId()) == 13 and dr < 0.4:
#print 'found ISR ',ph,lept
leph = lept.p4()
p4ph = ph.p4()
p4 = ph.p4() + lept.p4()
lept.setP4(p4)
#print 'added ISR ',ph,lept
self.leptons = []
for lept in tmpLept:
self.leptons.append(lept)
self.leptonJets = []
for lept in self.leptons:
drmin = 999.
ijet = -1
for i, jet in enumerate(self.jets):
dr = deltaR(lept.eta(), lept.phi(), jet.eta(), jet.phi())
if dr < drmin:
drmin = dr
ijet = i
if ijet >= 0:
if drmin < 0.1:
self.jets[ijet].setP4(lept.p4())
self.jets[ijet].setPdgId(lept.pdgId())
self.leptonJets.append(self.jets[ijet])
def process(self, iEvent, event):
self.readCollections( iEvent )
cmgJets = self.handles['jets'].product()
allJets = []
event.jets = []
event.bJets = []
event.cleanJets = []
event.cleanBJets = []
leptons = event.selectedLeptons
genJets = None
if self.cfg_comp.isMC:
genJets = map( GenJet, self.mchandles['genJets'].product() )
for cmgJet in cmgJets:
jet = Jet( cmgJet )
allJets.append( jet )
if self.cfg_comp.isMC and hasattr( self.cfg_comp, 'jetScale'):
scale = random.gauss( self.cfg_comp.jetScale,
self.cfg_comp.jetSmear )
jet.scaleEnergy( scale )
if genJets:
# Use DeltaR = 0.25 matching like JetMET
pairs = matchObjectCollection( [jet], genJets, 0.25*0.25)
if pairs[jet] is None:
pass
#jet.genJet = None
else:
jet.genJet = pairs[jet]
# print jet, jet.genJet
#Add JER correction for MC jets. Requires gen-jet matching.
if self.cfg_comp.isMC and hasattr(self.cfg_ana, 'jerCorr') and self.cfg_ana.jerCorr:
self.jerCorrection(jet)
#Add JES correction for MC jets.
if self.cfg_comp.isMC and hasattr(self.cfg_ana, 'jesCorr'):
self.jesCorrection(jet, self.cfg_ana.jesCorr)
if self.testJet( jet ):
event.jets.append(jet)
if self.testBJet(jet):
event.bJets.append(jet)
self.counters.counter('jets').inc('all events')
event.cleanJets, dummy = cleanObjectCollection( event.jets,
masks = leptons,
deltaRMin = 0.5 )
event.cleanBJets, dummy = cleanObjectCollection( event.bJets,
masks = leptons,
deltaRMin = 0.5 )
pairs = matchObjectCollection( leptons, allJets, 0.5*0.5)
# associating a jet to each lepton
for lepton in leptons:
jet = pairs[lepton]
if jet is None:
lepton.jet = lepton
else:
lepton.jet = jet
# associating a leg to each clean jet
invpairs = matchObjectCollection( event.cleanJets, leptons, 99999. )
for jet in event.cleanJets:
leg = invpairs[jet]
jet.leg = leg
for jet in event.cleanJets:
jet.matchGenParton=999.0
if self.cfg_comp.isMC and "BB" in self.cfg_comp.name:
genParticles = self.mchandles['genParticles'].product()
event.genParticles = map( GenParticle, genParticles)
for gen in genParticles:
if abs(gen.pdgId())==5 and gen.mother() and abs(gen.mother().pdgId())==21:
for jet in event.cleanJets:
dR=deltaR2(jet.eta(), jet.phi(), gen.eta(), gen.phi() )
if dR<jet.matchGenParton:
jet.matchGenParton=dR
event.jets30 = [jet for jet in event.jets if jet.pt()>30]
event.cleanJets30 = [jet for jet in event.cleanJets if jet.pt()>30]
if len( event.jets30 )>=2:
self.counters.counter('jets').inc('at least 2 good jets')
if len( event.cleanJets30 )>=2:
self.counters.counter('jets').inc('at least 2 clean jets')
if len(event.cleanJets)<2:
return True
return True
