class VVBuilder(Analyzer):
def __init__(self, cfg_ana, cfg_comp, looperName):
super(VVBuilder, self).__init__(cfg_ana, cfg_comp, looperName)
self.vbTool = VectorBosonToolBox()
self.smearing = ROOT.TRandom(10101982)
# btag reweighting
self.btagSF = BTagEventWeights(
'btagsf', os.path.expandvars(self.cfg_ana.btagCSVFile))
puppiJecCorrWeightFile = os.path.expandvars(
self.cfg_ana.puppiJecCorrFile)
self.puppiJecCorr = ROOT.TFile.Open(puppiJecCorrWeightFile)
self.puppisd_corrGEN = self.puppiJecCorr.Get("puppiJECcorr_gen")
self.puppisd_corrRECO_cen = self.puppiJecCorr.Get(
"puppiJECcorr_reco_0eta1v3")
self.puppisd_corrRECO_for = self.puppiJecCorr.Get(
"puppiJECcorr_reco_1v3eta2v5")
def declareHandles(self):
super(VVBuilder, self).declareHandles()
if self.cfg_comp.isMC:
self.handles['packedGen'] = AutoHandle(
'packedGenParticles', 'std::vector<pat::PackedGenParticle>')
def copyLV(self, LV):
out = []
for i in LV:
out.append(
ROOT.math.XYZTLorentzVector(i.px(), i.py(), i.pz(),
i.energy()))
return out
def cleanOverlap(self, collection, toRemove):
after = list(set(collection) - set(toRemove))
return after
def substructure(self, jet):
if hasattr(jet, 'softDropMassCor'):
return
jet.softDropMassCor = self.getPUPPIMassWeight(jet) * jet.userFloat(
'ak8PFJetsPuppiSoftDropMass')
jet.softDropMassBare = jet.userFloat('ak8PFJetsPuppiSoftDropMass')
jet.subJetTags = [-99.0] * 2
jet.subJetCTagL = [-99.0] * 2
jet.subJetCTagB = [-99.0] * 2
jet.subJet_hadronFlavour = [-99.0] * 2
jet.subJet_partonFlavour = [-99.0] * 2
for i, o in enumerate(jet.subjets("SoftDropPuppi")):
bTag = o.bDiscriminator(
self.cfg_ana.fDiscriminatorB) + o.bDiscriminator(
self.cfg_ana.fDiscriminatorBB)
cTag = o.bDiscriminator(self.cfg_ana.fDiscriminatorC)
lTag = o.bDiscriminator(self.cfg_ana.fDiscriminatorL)
jet.subJetTags[i] = bTag
jet.subJetCTagL[i] = cTag / (cTag + lTag)
jet.subJetCTagB[i] = cTag / (cTag + bTag)
jet.subJet_partonFlavour[i] = o.partonFlavour()
jet.subJet_hadronFlavour[i] = o.hadronFlavour()
def softDropGen(self, jet, event):
# if we already filled it exit
if hasattr(jet, 'genSoftDrop') or not self.cfg_comp.isMC:
return
# constituents = []
LVs = ROOT.std.vector("math::XYZTLorentzVector")()
# we take LVs around the jets and recluster
for p in event.genPacked:
if p.status() == 1 and p.pt() > 0.05 and not (abs(p.pdgId())
in [12, 14, 16]):
if deltaR(p.eta(), p.phi(), jet.eta(), jet.phi()) < 1.2:
LVs.push_back(p.p4())
interface = ROOT.cmg.FastJetInterface(LVs, -1.0, 0.8, 1, 0.01, 5.0,
4.4)
# make jets
interface.makeInclusiveJets(50.0)
outputJets = interface.get(True)
if len(outputJets) == 0:
return
jet.genJetP4 = ROOT.Candidate.LorentzVector(outputJets[0].px(),
outputJets[0].py(),
outputJets[0].pz(),
outputJets[0].energy())
# OK!Now save the area
interface.softDrop(True, 0, 0.0, 0.1, 0.8)
jet.genSoftDrop = self.copyLV(interface.get(False))[0]
def topology(self, VV, jets, leptons):
VV.otherLeptons = leptons
VV.satteliteJets = jets
# VBF Tag
if len(jets) > 1:
VV.vbfDEta = abs(jets[0].eta() - jets[1].eta())
VV.vbfMass = (jets[0].p4() + jets[1].p4()).M()
else:
VV.vbfDEta = -999
VV.vbfMass = -999
# Btags
jetsCentral = filter(lambda x: abs(x.eta()) < 2.4, jets)
VV.satteliteCentralJets = jetsCentral
# cuts are taken from
# https://twiki.cern.ch/twiki/bin/view/CMS/BtagRecommendation94X
# (20.06.2016)
VV.nLooseBTags = len(
filter(
lambda x: x.bDiscriminator(self.cfg_ana.fDiscriminatorB) + x.
bDiscriminator(self.cfg_ana.fDiscriminatorBB) > 0.1522,
jetsCentral))
VV.nMediumBTags = len(
filter(
lambda x: x.bDiscriminator(self.cfg_ana.fDiscriminatorB) + x.
bDiscriminator(self.cfg_ana.fDiscriminatorBB) > 0.4941,
jetsCentral))
VV.nTightBTags = len(
filter(
lambda x: x.bDiscriminator(self.cfg_ana.fDiscriminatorB) + x.
bDiscriminator(self.cfg_ana.fDiscriminatorBB) > 0.8001,
jetsCentral))
VV.nOtherLeptons = len(leptons)
maxbtag = -100.0
VV.btagWeight = 1.0
for j in jetsCentral:
btag = j.bDiscriminator(
self.cfg_ana.fDiscriminatorB) + j.bDiscriminator(
self.cfg_ana.fDiscriminatorBB)
flavor = j.hadronFlavour()
# btag event weight
if self.cfg_comp.isMC:
VV.btagWeight *= self.btagSF.getSF(j.pt(), j.eta(), flavor,
btag)
# and systematics
if btag > maxbtag:
maxbtag = btag
VV.highestEventBTag = maxbtag
def selectJets(self,
jets,
func,
otherObjects,
DR,
otherObjects2=None,
DR2=0.0):
output = []
for j in jets:
if not func(j):
continue
overlap = False
for o in otherObjects:
dr = deltaR(j.eta(), j.phi(), o.eta(), o.phi())
if dr < DR:
overlap = True
break
if otherObjects2 is not None:
for o in otherObjects2:
dr = deltaR(j.eta(), j.phi(), o.eta(), o.phi())
if dr < DR2:
overlap = True
break
if not overlap:
output.append(j)
return output
def makeWV(self, event):
output = []
# loop on the leptons
looseLeptonsForW = filter(
lambda x: (abs(x.pdgId()) == 11 and x.heepID) or
(abs(x.pdgId()) == 13 and x.highPtIDIso), event.selectedLeptons)
tightLeptonsForW = filter(
lambda x: (abs(x.pdgId()) == 11 and x.heepID and x.pt() > 55) or
(abs(x.pdgId()) == 13 and x.highPtIDIso and x.pt() > 55),
event.selectedLeptons)
if len(tightLeptonsForW) == 0:
return output
# make leptonic W
W = self.vbTool.makeW(tightLeptonsForW, event.met)
if len(W) == 0:
return output
bestW = max(W, key=lambda x: x.leg1.pt())
# now the jets, use lower pT cut since we'll recluster
fatJets = self.selectJets(
event.jetsAK8, lambda x: x.pt() > 200.0 and abs(x.eta()) < 2.4 and
x.jetID('POG_PFID_Tight'), tightLeptonsForW, 1.0)
if len(fatJets) == 0:
return output
bestJet = max(fatJets, key=lambda x: x.pt())
self.substructure(bestJet)
VV = Pair(bestW, bestJet)
if deltaR(bestW.leg1.eta(), bestW.leg1.phi(), bestJet.eta(),
bestJet.phi()) < ROOT.TMath.Pi() / 2.0:
return output
if VV.deltaPhi() < 2.0:
return output
if abs(deltaPhi(bestW.leg2.phi(), bestJet.phi())) < 2.0:
return output
if self.cfg_comp.isMC:
self.softDropGen(bestJet, event)
if not hasattr(bestJet, 'genJetP4'):
VV.genPartialMass = -1
else:
newMET = event.met.p4() + VV.leg2.p4() - VV.leg2.genJetP4
newMET.SetPz(0.0)
newW = Pair(VV.leg1.leg1, Singlet(newMET))
self.vbTool.defaultWKinematicFit(newW)
VV.genPartialMass = (VV.leg1.p4() + VV.leg2.genJetP4).M()
else:
VV.genPartialMass = -1
# topology
satteliteJets = self.selectJets(
event.jets, lambda x: x.pt() > 30.0 and x.jetID('POG_PFID_Tight'),
tightLeptonsForW, 0.4, [bestJet], 0.8)
otherLeptons = self.cleanOverlap(looseLeptonsForW, [bestW.leg1])
self.topology(VV, satteliteJets, otherLeptons)
output.append(VV)
return output
def makeZV(self, event):
output = []
# loop on the leptons
leptonsForZ = filter(
lambda x: (abs(x.pdgId()) == 11 and x.heepIDNoIso) or
(abs(x.pdgId()) == 13 and (x.highPtID or x.highPtTrackID)),
event.selectedLeptons)
if len(leptonsForZ) < 2:
return output
# make leptonic Z
Z = self.vbTool.makeZ(leptonsForZ)
if len(Z) == 0:
return output
bestZ = max(Z, key=lambda x: x.pt())
# other higbn pt isolated letpons in the event
otherGoodLeptons = self.cleanOverlap(leptonsForZ,
[bestZ.leg1, bestZ.leg2])
otherTightLeptons = filter(
lambda x: (abs(x.pdgId()) == 11 and x.heepID) or
(abs(x.pdgId()) == 13 and (x.highPtIDIso)), otherGoodLeptons)
# now the jets
fatJets = self.selectJets(
event.jetsAK8, lambda x: x.pt() > 200.0 and abs(x.eta()) < 2.4 and
x.jetID('POG_PFID_Tight'), [bestZ.leg1, bestZ.leg2], 1.0)
if len(fatJets) == 0:
return output
bestJet = max(fatJets, key=lambda x: x.pt())
self.substructure(bestJet)
VV = Pair(bestZ, bestJet)
if self.cfg_comp.isMC:
self.softDropGen(bestJet, event)
VV.genPartialMass = (VV.leg1.p4() + VV.leg2.genJet().p4()).M()
else:
VV.genPartialMass = -1
satteliteJets = self.selectJets(
event.jets, lambda x: x.pt() > 30.0 and x.jetID('POG_PFID_Tight'),
otherTightLeptons, 0.4, [bestJet], 0.8)
self.topology(VV, satteliteJets, otherTightLeptons)
output.append(VV)
return output
def makeMETV(self, event):
output = []
# loop on the leptons
leptons = filter(
lambda x: (abs(x.pdgId()) == 11 and x.heepID) or
(abs(x.pdgId()) == 13 and x.highPtIDIso), event.selectedLeptons)
fatJets = self.selectJets(
event.jetsAK8, lambda x: x.pt() > 200.0 and abs(x.eta()) < 2.4 and
x.jetID('POG_PFID_Tight'), leptons, 1.0)
if len(fatJets) < 1:
return output
self.substructure(fatJets[0])
VV = Pair(event.met, fatJets[0])
# kinematics
if VV.deltaPhi() < 2.0 or VV.leg1.pt() < 200:
return output
if self.cfg_comp.isMC:
self.softDropGen(fatJets[0], event)
VVGEN = Pair(event.met, Singlet(VV.leg2.genJet().p4()))
VV.genPartialMass = VVGEN.mt()
else:
VV.genPartialMass = -1
# topology
satteliteJets = self.selectJets(
event.jets, lambda x: x.pt() > 30.0 and x.jetID('POG_PFID_Tight'),
leptons, 0.3, [VV.leg2], 0.8)
self.topology(VV, satteliteJets, leptons)
output.append(VV)
return output
def getPUPPIMassWeight(self, puppijet):
# mass correction for PUPPI following
# https://github.com/thaarres/PuppiSoftdropMassCorr
genCorr = 1.
recoCorr = 1.
# corrections only valid up to |eta| < 2.5, use 1. beyond
if (abs(puppijet.eta()) < 2.5):
genCorr = self.puppisd_corrGEN.Eval(puppijet.pt())
if (abs(puppijet.eta()) <= 1.3):
recoCorr = self.puppisd_corrRECO_cen.Eval(puppijet.pt())
else:
recoCorr = self.puppisd_corrRECO_for.Eval(puppijet.pt())
totalWeight = genCorr * recoCorr
return totalWeight
def fillTopPtReweighting(self, event, truth):
"""Top pT reweighting."""
if not self.cfg_comp.isMC:
truth.genTop_weight = 1.
return truth
ttbar = [
p for p in event.genParticles
if abs(p.pdgId()) == 6 and p.statusFlags().isLastCopy()
and p.statusFlags().fromHardProcess()
]
if self.cfg_comp.name.find('TT') != -1 and self.cfg_comp.name.find(
'TTH') == -1 and len(ttbar) == 2:
# store also individual pTs for later correction
truth.genTop_1_pt = ttbar[0].pt()
truth.genTop_2_pt = ttbar[1].pt()
top_1_pt = truth.genTop_1_pt
top_2_pt = truth.genTop_2_pt
# only valid up to 400 GeV, assume constant afterwards
if top_1_pt > 400:
top_1_pt = 400.
if top_2_pt > 400:
top_2_pt = 400.
# see
# https://twiki.cern.ch/twiki/bin/view/CMS/TopSystematics#pt_top_Reweighting
truth.genTop_weight = math.sqrt(
math.exp(0.0615 - 0.0005 * top_1_pt) *
math.exp(0.0615 - 0.0005 * top_2_pt))
else:
truth.genTop_weight = 1.
return truth
@staticmethod
def p4sum(ps):
'''Returns four-vector sum of objects in passed list. Returns None
if empty. Note that python sum doesn't work since p4() + 0/None fails,
but will be possible in future python'''
if not ps:
return None
p4 = ps[0].p4()
for i in xrange(len(ps) - 1):
p4 += ps[i + 1].p4()
return p4
def getParentBoson(self, event):
"""Get generator level boson (last in chain) for correct kinematics."""
# if we already filled it exit
if hasattr(event, 'genBoson') or not self.cfg_comp.isMC:
return
leptons_prompt = [
p for p in event.genParticles
if abs(p.pdgId()) in [11, 12, 13, 14]
and p.fromHardProcessFinalState()
]
taus_prompt = [
p for p in event.genParticles
if p.statusFlags().isDirectHardProcessTauDecayProduct()
]
all = leptons_prompt + taus_prompt
genBoson = VVBuilder.p4sum(all)
return genBoson
def makeTruthType(self, event):
"""create truth collection."""
truth = Truth()
genBoson = self.getParentBoson(event)
truth = self.fillTopPtReweighting(event, truth)
if genBoson:
truth.genBoson = genBoson
return [truth]
def process(self, event):
self.readCollections(event.input)
# if MC create the stable particles for Gen Jet reco and substructure
event.genParticleLVs = ROOT.std.vector("math::XYZTLorentzVector")()
if self.cfg_comp.isMC:
event.genPacked = self.handles['packedGen'].product()
LNuJJ = self.makeWV(event)
LLJJ = [] #self.makeZV(event)
JJNuNu = [] #self.makeMETV(event)
TruthType = self.makeTruthType(event)
setattr(event, 'LNuJJ' + self.cfg_ana.suffix, LNuJJ)
setattr(event, 'LLJJ' + self.cfg_ana.suffix, LLJJ)
setattr(event, 'JJNuNu' + self.cfg_ana.suffix, JJNuNu)
setattr(event, 'TruthType' + self.cfg_ana.suffix, TruthType)
class VVBuilder(Analyzer):
def __init__(self, cfg_ana, cfg_comp, looperName):
super(VVBuilder, self).__init__(cfg_ana, cfg_comp, looperName)
self.vbTool = VectorBosonToolBox()
self.smearing = ROOT.TRandom(10101982)
if hasattr(self.cfg_ana, "doPUPPI") and self.cfg_ana.doPUPPI:
self.doPUPPI = True
puppiJecCorrWeightFile = os.path.expandvars(
self.cfg_ana.puppiJecCorrFile)
self.puppiJecCorr = ROOT.TFile.Open(puppiJecCorrWeightFile)
self.puppisd_corrGEN = self.puppiJecCorr.Get("puppiJECcorr_gen")
self.puppisd_corrRECO_cen = self.puppiJecCorr.Get(
"puppiJECcorr_reco_0eta1v3")
self.puppisd_corrRECO_for = self.puppiJecCorr.Get(
"puppiJECcorr_reco_1v3eta2v5")
else:
self.doPUPPI = False
# btag reweighting
self.btagSF = BTagEventWeights(
'btagsf', os.path.expandvars(self.cfg_ana.btagCSVFile))
def declareHandles(self):
super(VVBuilder, self).declareHandles()
self.handles['packed'] = AutoHandle(
'packedPFCandidates', 'std::vector<pat::PackedCandidate>')
if self.cfg_comp.isMC:
self.handles['packedGen'] = AutoHandle(
'packedGenParticles', 'std::vector<pat::PackedGenParticle>')
def copyLV(self, LV):
out = []
for i in LV:
out.append(ROOT.math.XYZTLorentzVector(
i.px(), i.py(), i.pz(), i.energy()))
return out
def substructure(self, jet, event, nSubjets=2, suffix=""):
# if we already filled it exit
tag = 'substructure' + suffix
if hasattr(jet, tag):
return
# constituents = []
LVs = ROOT.std.vector("math::XYZTLorentzVector")()
# we take LVs around the jets and recluster
for LV in event.LVs:
if deltaR(LV.eta(), LV.phi(), jet.eta(), jet.phi()) < 1.2:
LVs.push_back(LV)
interface = ROOT.cmg.FastJetInterface(
LVs, -1.0, 0.8, 1, 0.01, 5.0, 4.4)
# make jets
interface.makeInclusiveJets(150.0)
outputJets = interface.get(True)
if len(outputJets) == 0:
return
# setattr(jet,tag,Substructure())
# substructure=getattr(jet,tag)
substructure = Substructure()
# For the pruned sub jets +PUPPIcalculate the correction
# without L1
corrNoL1 = jet.corr / jet.CorrFactor_L1
# if PUPPI reset the jet four vector
if self.doPUPPI:
jet.setP4(outputJets[0] * jet.corr)
substructure = Substructure()
# OK!Now save the area
substructure.area = interface.getArea(1, 0)
# Get pruned lorentzVector and subjets
interface.prune(True, 0, 0.1, 0.5)
substructure.prunedJet = self.copyLV(
interface.get(False))[0] * corrNoL1
interface.makeSubJets(False, 0, nSubjets)
substructure.prunedSubjets = self.copyLV(interface.get(False))
# getv the btag of the pruned subjets
jet.subJetTags = [-99.0] * nSubjets
jet.subJetCTagL = [-99.0] * nSubjets
jet.subJetCTagB = [-99.0] * nSubjets
jet.subJet_hadronFlavour = [-99.0] * nSubjets
jet.subJet_partonFlavour = [-99.0] * nSubjets
for i, s in enumerate(substructure.prunedSubjets):
for o in jet.subjets("SoftDrop"):
dr = deltaR(s.eta(), s.phi(), o.eta(), o.phi())
if dr < 0.1:
# found = True
jet.subJetTags[i] = o.bDiscriminator(
self.cfg_ana.bDiscriminator)
jet.subJetCTagL[i] = o.bDiscriminator(
self.cfg_ana.cDiscriminatorL)
jet.subJetCTagB[i] = o.bDiscriminator(
self.cfg_ana.cDiscriminatorB)
jet.subJet_partonFlavour[i] = o.partonFlavour()
jet.subJet_hadronFlavour[i] = o.hadronFlavour()
break
# Get soft Drop lorentzVector and subjets
interface.softDrop(True, 0, 0.0, 0.1, 0.8)
substructure.softDropJet = self.copyLV(
interface.get(False))[0] * corrNoL1
substructure.softDropJetMassCor = 0
substructure.softDropJetMassBare = 0
substructure.softDropJetMassL2L3 = 0
if self.doPUPPI:
softDropJetUnCorr = self.copyLV(interface.get(False))[0]
substructure.softDropJetMassCor = self.getPUPPIMassWeight(
softDropJetUnCorr)
substructure.softDropJetMassBare = softDropJetUnCorr.mass()
substructure.softDropJetMassL2L3 = substructure.softDropJet.mass()
interface.makeSubJets(False, 0, 2)
substructure.softDropSubjets = self.copyLV(interface.get(False))
# get NTau
substructure.ntau = interface.nSubJettiness(
0, 4, 0, 6, 1.0, 0.8, 999.0, 999.0, 999)
# calculate DDT tau21 (currently without softDropJetMassCor, but the
# L2L3 corrections)
substructure.tau21_DDT = 0
if (substructure.softDropJet.mass() > 0):
substructure.tau21_DDT = substructure.ntau[1] / substructure.ntau[0] + (0.063 * math.log(
(substructure.softDropJet.mass() * substructure.softDropJet.mass()) / substructure.softDropJet.pt()))
setattr(jet, tag, substructure)
def substructureGEN(self, jet, event):
# if we already filled it exit
if hasattr(jet, 'substructureGEN') or not self.cfg_comp.isMC:
return
# constituents = []
LVs = ROOT.std.vector("math::XYZTLorentzVector")()
# we take LVs around the jets and recluster
for p in event.genParticleLVs:
if deltaR(p.eta(), p.phi(), jet.eta(), jet.phi()) < 1.2:
LVs.push_back(p)
interface = ROOT.cmg.FastJetInterface(
LVs, -1.0, 0.8, 1, 0.01, 5.0, 4.4)
# make jets
interface.makeInclusiveJets(50.0)
outputJets = interface.get(True)
if len(outputJets) == 0:
return
jet.substructureGEN = Substructure()
# OK!Now save the area
jet.substructureGEN.area = interface.getArea(1, 0)
# Get pruned lorentzVector and subjets
jet.substructureGEN.jet = self.copyLV(interface.get(True))[0]
interface.prune(True, 0, 0.1, 0.5)
jet.substructureGEN.prunedJet = self.copyLV(interface.get(False))[0]
interface.softDrop(True, 0, 0.0, 0.1, 0.8)
jet.substructureGEN.softDropJet = self.copyLV(interface.get(False))[0]
jet.substructureGEN.ntau = interface.nSubJettiness(
0, 4, 0, 6, 1.0, 0.8, 999.0, 999.0, 999)
def cleanOverlap(self, collection, toRemove):
after = list(set(collection) - set(toRemove))
return after
def topology(self, VV, jets, leptons):
VV.otherLeptons = leptons
VV.satteliteJets = jets
# VBF Tag
if len(jets) > 1:
VV.vbfDEta = abs(jets[0].eta() - jets[1].eta())
VV.vbfMass = (jets[0].p4() + jets[1].p4()).M()
else:
VV.vbfDEta = -999
VV.vbfMass = -999
# Btags
jetsCentral = filter(lambda x: abs(x.eta()) < 2.4, jets)
VV.satteliteCentralJets = jetsCentral
# cuts are taken from
# https://twiki.cern.ch/twiki/bin/view/CMS/BtagRecommendation80X
# (20.06.2016)
VV.nLooseBTags = len(filter(lambda x: x.bDiscriminator(
self.cfg_ana.bDiscriminator) > 0.5426, jetsCentral))
VV.nMediumBTags = len(filter(lambda x: x.bDiscriminator(
self.cfg_ana.bDiscriminator) > 0.8484, jetsCentral))
VV.nTightBTags = len(filter(lambda x: x.bDiscriminator(
self.cfg_ana.bDiscriminator) > 0.9535, jetsCentral))
VV.nOtherLeptons = len(leptons)
maxbtag = -100.0
VV.btagWeight = 1.0
for j in jetsCentral:
btag = j.bDiscriminator(self.cfg_ana.bDiscriminator)
flavor = j.hadronFlavour()
# btag event weight
if self.cfg_comp.isMC:
VV.btagWeight *= self.btagSF.getSF(j.pt(),
j.eta(), flavor, btag)
# and systematics
if btag > maxbtag:
maxbtag = btag
VV.highestEventBTag = maxbtag
def selectJets(self, jets, func, otherObjects, DR, otherObjects2=None, DR2=0.0):
output = []
for j in jets:
if not func(j):
continue
overlap = False
for o in otherObjects:
dr = deltaR(j.eta(), j.phi(), o.eta(), o.phi())
if dr < DR:
overlap = True
break
if otherObjects2 is not None:
for o in otherObjects2:
dr = deltaR(j.eta(), j.phi(), o.eta(), o.phi())
if dr < DR2:
overlap = True
break
if not overlap:
output.append(j)
return output
def makeWV(self, event):
output = []
# loop on the leptons
looseLeptonsForW = filter(lambda x: (abs(x.pdgId()) == 11 and x.heepID) or (
abs(x.pdgId()) == 13 and x.highPtIDIso), event.selectedLeptons)
tightLeptonsForW = filter(lambda x: (abs(x.pdgId()) == 11 and x.heepID and x.pt() > 55) or (
abs(x.pdgId()) == 13 and x.highPtIDIso and x.pt() > 55), event.selectedLeptons)
if len(tightLeptonsForW) == 0:
return output
# make leptonic W
W = self.vbTool.makeW(tightLeptonsForW, event.met)
if len(W) == 0:
return output
bestW = max(W, key=lambda x: x.leg1.pt())
# now the jets, use lower pT cut since we'll recluster
fatJets = self.selectJets(event.jetsAK8, lambda x: x.pt() > 150.0 and abs(
x.eta()) < 2.4 and x.jetID('POG_PFID_Loose'), tightLeptonsForW, 1.0)
if len(fatJets) == 0:
return output
bestJet = max(fatJets, key=lambda x: x.pt())
VV = Pair(bestW, bestJet)
if deltaR(bestW.leg1.eta(), bestW.leg1.phi(), bestJet.eta(), bestJet.phi()) < ROOT.TMath.Pi() / 2.0:
return output
if VV.deltaPhi() < 2.0:
return output
if abs(deltaPhi(bestW.leg2.phi(), bestJet.phi())) < 2.0:
return output
# substructure
self.substructure(VV.leg2, event)
if not hasattr(VV.leg2, 'substructure'):
return output
# substructure function has reclustered jet, so we need to check the pT
# again
if not VV.leg2.pt() > 200.:
return output
# also recalculate the resonance mass four vector
VV = Pair(bestW, bestJet)
# substructure truth
if self.cfg_comp.isMC:
self.substructureGEN(VV.leg2, event)
if hasattr(VV.leg2, 'substructureGEN'):
newMET = event.met.p4() + VV.leg2.p4() - VV.leg2.substructureGEN.jet
newMET.SetPz(0.0)
newW = Pair(VV.leg1.leg1, Singlet(newMET))
self.vbTool.defaultWKinematicFit(newW)
VV.genPartialMass = (
VV.leg1.p4() + VV.leg2.substructureGEN.jet).M()
# topology
satteliteJets = self.selectJets(event.jets, lambda x: x.pt() > 30.0 and x.jetID(
'POG_PFID_Loose'), tightLeptonsForW, 0.4, [bestJet], 0.8)
otherLeptons = self.cleanOverlap(looseLeptonsForW, [bestW.leg1])
self.topology(VV, satteliteJets, otherLeptons)
output.append(VV)
return output
def makeZV(self, event):
output = []
# loop on the leptons
leptonsForZ = filter(lambda x: (abs(x.pdgId()) == 11 and x.heepIDNoIso) or (
abs(x.pdgId()) == 13 and (x.highPtID or x.highPtTrackID)), event.selectedLeptons)
if len(leptonsForZ) < 2:
return output
# make leptonic Z
Z = self.vbTool.makeZ(leptonsForZ)
if len(Z) == 0:
return output
bestZ = max(Z, key=lambda x: x.pt())
# other higbn pt isolated letpons in the event
otherGoodLeptons = self.cleanOverlap(
leptonsForZ, [bestZ.leg1, bestZ.leg2])
otherTightLeptons = filter(lambda x: (abs(x.pdgId()) == 11 and x.heepID) or (
abs(x.pdgId()) == 13 and (x.highPtIDIso)), otherGoodLeptons)
# now the jets
fatJets = self.selectJets(event.jetsAK8, lambda x: x.pt() > 200.0 and abs(
x.eta()) < 2.4 and x.jetID('POG_PFID_Loose'), [bestZ.leg1, bestZ.leg2], 1.0)
if len(fatJets) == 0:
return output
bestJet = max(fatJets, key=lambda x: x.pt())
VV = Pair(bestZ, bestJet)
# substructure
self.substructure(VV.leg2, event)
# substructure changes jet, so we need to recalculate the resonance
# mass
VV = Pair(bestZ, bestJet)
if not hasattr(VV.leg2, "substructure"):
return output
if self.cfg_comp.isMC:
self.substructureGEN(VV.leg2, event)
if hasattr(VV.leg2, 'substructureGEN'):
VV.genPartialMass = (VV.leg1.p4() + VV.leg2.substructureGEN.jet).M()
# check if there are subjets
# if len(VV.leg2.substructure.prunedSubjets)<2:
# print 'No substructure',len(VV.leg2.substructure.prunedSubjets)
# return output
# topology
satteliteJets = self.selectJets(event.jets, lambda x: x.pt() > 30.0 and x.jetID(
'POG_PFID_Loose'), otherTightLeptons, 0.4, [bestJet], 0.8)
self.topology(VV, satteliteJets, otherTightLeptons)
output.append(VV)
return output
def makeJJ(self, event):
output = []
# loop on the leptons
leptons = filter(lambda x: (abs(x.pdgId()) == 11 and x.heepID) or (
abs(x.pdgId()) == 13 and x.highPtIDIso), event.selectedLeptons)
fatJets = self.selectJets(event.jetsAK8, lambda x: x.pt() > 200.0 and abs(
x.eta()) < 2.4 and x.jetID('POG_PFID_Tight'), leptons, 1.0)
if len(fatJets) < 2:
return output
VV = Pair(fatJets[0], fatJets[1])
# kinematics
if abs(VV.leg1.eta() - VV.leg2.eta()) > 1.3 or VV.mass() < 1000:
return output
self.substructure(VV.leg1, event)
self.substructure(VV.leg2, event)
# substructure changes jet, so we need to recalculate the resonance
# mass
VV = Pair(fatJets[0], fatJets[1])
# substructure truth
if self.cfg_comp.isMC:
self.substructureGEN(VV.leg2, event)
self.substructureGEN(VV.leg1, event)
if hasattr(VV.leg2, 'substructureGEN') and hasattr(VV.leg1,'substructureGEN'):
VV.genPartialMass = (VV.leg1.substructureGEN.jet + VV.leg2.substructureGEN.jet).M()
if not hasattr(VV.leg1, "substructure"):
return output
if not hasattr(VV.leg2, "substructure"):
return output
# check if there are subjets
# if len(VV.leg2.substructure.prunedSubjets)<2 or len(VV.leg1.substructure.prunedSubjets)<2:
# print 'No substructure'
# return output
# topology
satteliteJets = self.selectJets(event.jets, lambda x: x.pt() > 30.0 and x.jetID(
'POG_PFID_Loose'), leptons, 0.3, [VV.leg1, VV.leg2], 0.8)
self.topology(VV, satteliteJets, leptons)
output.append(VV)
return output
def makeMETV(self, event):
output = []
# loop on the leptons
leptons = filter(lambda x: (abs(x.pdgId()) == 11 and x.heepID) or (
abs(x.pdgId()) == 13 and x.highPtIDIso), event.selectedLeptons)
fatJets = self.selectJets(event.jetsAK8, lambda x: x.pt() > 200.0 and abs(
x.eta()) < 2.4 and x.jetID('POG_PFID_Loose'), leptons, 1.0)
if len(fatJets) < 1:
return output
VV = Pair(event.met, fatJets[0])
# kinematics
if VV.deltaPhi() < 2.0 or VV.leg1.pt() < 200:
return output
self.substructure(VV.leg2, event)
if not hasattr(VV.leg2, "substructure"):
return output
# substructure changes jet, so we need to recalculate the resonance
# mass
VV = Pair(event.met, fatJets[0])
# check if there are subjets
# if len(VV.leg2.substructure.prunedSubjets)<2:
# print 'No substructure'
# return output
if self.cfg_comp.isMC:
self.substructureGEN(VV.leg2, event)
if hasattr(VV.leg2, 'substructureGEN'):
VVGEN = Pair(event.met,Singlet(VV.leg2.substructureGEN.jet))
VV.genPartialMass = VVGEN.mt()
# topology
satteliteJets = self.selectJets(event.jets, lambda x: x.pt() > 30.0 and x.jetID(
'POG_PFID_Loose'), leptons, 0.3, [VV.leg2], 0.8)
self.topology(VV, satteliteJets, leptons)
output.append(VV)
return output
def getPUPPIMassWeight(self, puppijet):
# mass correction for PUPPI following
# https://github.com/thaarres/PuppiSoftdropMassCorr
genCorr = 1.
recoCorr = 1.
# corrections only valid up to |eta| < 2.5, use 1. beyond
if (abs(puppijet.eta()) < 2.5):
genCorr = self.puppisd_corrGEN.Eval(puppijet.pt())
if (abs(puppijet.eta()) <= 1.3):
recoCorr = self.puppisd_corrRECO_cen.Eval(puppijet.pt())
else:
recoCorr = self.puppisd_corrRECO_for.Eval(puppijet.pt())
totalWeight = genCorr * recoCorr
return totalWeight
def fillTopPtReweighting(self, event, truth):
"""Top pT reweighting."""
if not self.cfg_comp.isMC:
truth.genTop_weight = 1.
return truth
ttbar = [p for p in event.genParticles if abs(p.pdgId()) == 6 and p.statusFlags(
).isLastCopy() and p.statusFlags().fromHardProcess()]
if self.cfg_comp.name.find('TT') != -1 and self.cfg_comp.name.find('TTH') == -1 and len(ttbar) == 2:
# store also individual pTs for later correction
truth.genTop_1_pt = ttbar[0].pt()
truth.genTop_2_pt = ttbar[1].pt()
top_1_pt = truth.genTop_1_pt
top_2_pt = truth.genTop_2_pt
# only valid up to 400 GeV, assume constant afterwards
if top_1_pt > 400:
top_1_pt = 400.
if top_2_pt > 400:
top_2_pt = 400.
# see
# https://twiki.cern.ch/twiki/bin/view/CMS/TopSystematics#pt_top_Reweighting
truth.genTop_weight = math.sqrt(
math.exp(0.0615 - 0.0005 * top_1_pt) * math.exp(0.0615 - 0.0005 * top_2_pt))
else:
truth.genTop_weight = 1.
return truth
@staticmethod
def p4sum(ps):
'''Returns four-vector sum of objects in passed list. Returns None
if empty. Note that python sum doesn't work since p4() + 0/None fails,
but will be possible in future python'''
if not ps:
return None
p4 = ps[0].p4()
for i in xrange(len(ps) - 1):
p4 += ps[i + 1].p4()
return p4
def getParentBoson(self, event):
"""Get generator level boson (last in chain) for correct kinematics."""
# if we already filled it exit
if hasattr(event, 'genBoson') or not self.cfg_comp.isMC:
return
leptons_prompt = [p for p in event.genParticles if abs(
p.pdgId()) in [11, 12, 13, 14] and p.fromHardProcessFinalState()]
taus_prompt = [p for p in event.genParticles if p.statusFlags(
).isDirectHardProcessTauDecayProduct()]
all = leptons_prompt + taus_prompt
genBoson = VVBuilder.p4sum(all)
return genBoson
def makeTruthType(self, event):
"""create truth collection."""
truth = Truth()
genBoson = self.getParentBoson(event)
truth = self.fillTopPtReweighting(event, truth)
if genBoson:
truth.genBoson = genBoson
return [truth]
def process(self, event):
self.readCollections(event.input)
# first create a set of four vectors to recluster jets later
event.LVs = ROOT.std.vector("math::XYZTLorentzVector")()
# load packed candidatyes
cands = self.handles['packed'].product()
# if use PUPPI weigh them or lese just pass through
if self.doPUPPI:
for c in cands:
if c.pt() > 13000 or c.pt() == float('Inf'):
continue
if c.puppiWeight() > 0:
event.LVs.push_back(c.p4() * c.puppiWeight())
else:
for c in cands:
if c.pt() > 13000 or c.pt() == float('Inf'):
continue
event.LVs.push_back(c.p4())
# if MC create the stable particles for Gen Jet reco and substructure
event.genParticleLVs = ROOT.std.vector("math::XYZTLorentzVector")()
if self.cfg_comp.isMC:
event.genPacked = self.handles['packedGen'].product()
for p in event.genPacked:
if p.status() == 1 and p.pt() > 0.05 and not (abs(p.pdgId()) in [12, 14, 16]):
event.genParticleLVs.push_back(p.p4())
LNuJJ = self.makeWV(event)
LLJJ = self.makeZV(event)
JJ = self.makeJJ(event)
JJNuNu = self.makeMETV(event)
TruthType = self.makeTruthType(event)
setattr(event, 'LNuJJ' + self.cfg_ana.suffix, LNuJJ)
setattr(event, 'JJ' + self.cfg_ana.suffix, JJ)
setattr(event, 'LLJJ' + self.cfg_ana.suffix, LLJJ)
setattr(event, 'JJNuNu' + self.cfg_ana.suffix, JJNuNu)
setattr(event, 'TruthType' + self.cfg_ana.suffix, TruthType)
class VVBuilder(Analyzer):
def __init__(self, cfg_ana, cfg_comp, looperName):
super(VVBuilder, self).__init__(cfg_ana, cfg_comp, looperName)
self.vbTool = VectorBosonToolBox()
self.smearing = ROOT.TRandom(10101982)
if hasattr(self.cfg_ana, "doPUPPI") and self.cfg_ana.doPUPPI:
self.doPUPPI = True
else:
self.doPUPPI = False
def declareHandles(self):
super(VVBuilder, self).declareHandles()
self.handles['packed'] = AutoHandle(
'packedPFCandidates', 'std::vector<pat::PackedCandidate>')
def copyLV(self, LV):
out = []
for i in LV:
out.append(
ROOT.math.XYZTLorentzVector(i.px(), i.py(), i.pz(),
i.energy()))
return out
def substructure(self, jet, event):
#if we already filled it exit
if hasattr(jet, 'substructure'):
return
constituents = []
LVs = ROOT.std.vector("math::XYZTLorentzVector")()
#we take LVs around the jets and recluster
for LV in event.LVs:
if deltaR(LV.eta(), LV.phi(), jet.eta(), jet.phi()) < 1.2:
LVs.push_back(LV)
interface = ROOT.cmg.FastJetInterface(LVs, -1.0, 0.8, 1, 0.01, 5.0,
4.4)
#make jets
interface.makeInclusiveJets(150.0)
outputJets = interface.get(True)
if len(outputJets) == 0:
return
#For the pruned sub jets +PUPPIcalculate the correction
#without L1
corrNoL1 = jet.corr / jet.CorrFactor_L1
#if PUPPI reset the jet four vector
if self.doPUPPI:
jet.setP4(outputJets[0] * jet.corr)
jet.substructure = Substructure()
#OK!Now save the area
jet.substructure.area = interface.getArea(1, 0)
#Get pruned lorentzVector and subjets
interface.prune(True, 0, 0.1, 0.5)
jet.substructure.prunedJet = self.copyLV(
interface.get(False))[0] * corrNoL1
jet.substructure.prunedJetUp = 1.05 * jet.substructure.prunedJet.mass()
jet.substructure.prunedJetDown = 0.95 * jet.substructure.prunedJet.mass(
)
jet.substructure.prunedJetSmear = jet.substructure.prunedJet.mass(
) * self.smearing.Gaus(1.0, 1.1)
interface.makeSubJets(False, 0, 2)
jet.substructure.prunedSubjets = self.copyLV(interface.get(False))
#getv the btag of the pruned subjets
jet.subJetTags = [-1.0, -1.0]
jet.subJetCTagL = [-1.0, -1.0]
jet.subJetCTagB = [-1.0, -1.0]
for i, s in enumerate(jet.substructure.prunedSubjets):
for o in jet.subjets("SoftDrop"):
dr = deltaR(s.eta(), s.phi(), o.eta(), o.phi())
if dr < 0.1:
found = True
jet.subJetTags[i] = o.bDiscriminator(
self.cfg_ana.bDiscriminator)
jet.subJetCTagL[i] = o.bDiscriminator(
self.cfg_ana.cDiscriminatorL)
jet.subJetCTagB[i] = o.bDiscriminator(
self.cfg_ana.cDiscriminatorB)
break
#Get soft Drop lorentzVector and subjets
interface.softDrop(True, 0, 0.0, 0.1, 0.8)
jet.substructure.softDropJet = self.copyLV(
interface.get(False))[0] * corrNoL1
jet.substructure.softDropJetUp = 1.05 * jet.substructure.softDropJet.mass(
)
jet.substructure.softDropJetDown = 0.95 * jet.substructure.softDropJet.mass(
)
jet.substructure.softDropJetSmear = jet.substructure.softDropJet.mass(
) * self.smearing.Gaus(1.0, 0.1)
interface.makeSubJets(False, 0, 2)
jet.substructure.softDropSubjets = self.copyLV(interface.get(False))
#get NTau
jet.substructure.ntau = interface.nSubJettiness(
0, 4, 0, 6, 1.0, 0.8, 999.0, 999.0, 999)
#recluster with CA and do massdrop
interface = ROOT.cmg.FastJetInterface(LVs, 0.0, 1.5, 1, 0.01, 5.0, 4.4)
interface.makeInclusiveJets(150.0)
mu = ROOT.Double(0.667)
y = ROOT.Double(0.08)
jet.substructure.massDropTag = interface.massDropTag(0, mu, y)
jet.substructure.massDrop = (mu, y)
def cleanOverlap(self, collection, toRemove):
after = list(set(collection) - set(toRemove))
return after
def topology(self, VV, jets, leptons):
VV.otherLeptons = leptons
VV.satteliteJets = jets
#VBF Tag
if len(jets) > 1:
VV.vbfDEta = abs(jets[0].eta() - jets[1].eta())
VV.vbfMass = (jets[0].p4() + jets[1].p4()).M()
else:
VV.vbfDEta = -999
VV.vbfMass = -999
# Btags
# cuts are taken from https://twiki.cern.ch/twiki/bin/view/CMS/BtagRecommendation76X
jetsCentral = filter(lambda x: abs(x.eta()) < 2.4, jets)
VV.satteliteCentralJets = jetsCentral
VV.nLooseBTags = len(
filter(
lambda x: x.bDiscriminator(self.cfg_ana.bDiscriminator) >
0.460, jetsCentral))
VV.nMediumBTags = len(
filter(
lambda x: x.bDiscriminator(self.cfg_ana.bDiscriminator) >
0.800, jetsCentral))
VV.nTightBTags = len(
filter(
lambda x: x.bDiscriminator(self.cfg_ana.bDiscriminator) >
0.935, jetsCentral))
VV.nOtherLeptons = len(leptons)
def selectJets(self,
jets,
func,
otherObjects,
DR,
otherObjects2=None,
DR2=0.0):
output = []
for j in jets:
if not func(j):
continue
overlap = False
for o in otherObjects:
dr = deltaR(j.eta(), j.phi(), o.eta(), o.phi())
if dr < DR:
overlap = True
break
if otherObjects2 != None:
for o in otherObjects2:
dr = deltaR(j.eta(), j.phi(), o.eta(), o.phi())
if dr < DR2:
overlap = True
break
if not overlap:
output.append(j)
return output
def makeWV(self, event):
output = []
#loop on the leptons
looseLeptonsForW = filter(
lambda x: (abs(x.pdgId()) == 11 and x.heepID) or
(abs(x.pdgId()) == 13 and x.highPtIDIso), event.selectedLeptons)
tightLeptonsForW = filter(
lambda x: (abs(x.pdgId()) == 11 and x.heepID and x.pt() > 120) or
(abs(x.pdgId()) == 13 and x.highPtIDIso and x.pt() > 53 and abs(
x.eta()) < 2.1), event.selectedLeptons)
if len(tightLeptonsForW) == 0:
return output
#make leptonic W
W = self.vbTool.makeW(tightLeptonsForW, event.met)
if len(W) == 0:
return output
bestW = max(W, key=lambda x: x.leg1.pt())
#now the jets
fatJets = self.selectJets(
event.jetsAK8, lambda x: x.pt() > 200.0 and abs(x.eta()) < 2.4 and
x.jetID('POG_PFID_Loose'), tightLeptonsForW, 1.0)
if len(fatJets) == 0:
return output
bestJet = max(fatJets, key=lambda x: x.pt())
VV = Pair(bestW, bestJet)
if deltaR(bestW.leg1.eta(), bestW.leg1.phi(), bestJet.eta(),
bestJet.phi()) < ROOT.TMath.Pi() / 2.0:
return output
if VV.deltaPhi() < 2.0:
return output
if abs(deltaPhi(bestW.leg2.phi(), bestJet.phi())) < 2.0:
return output
#substructure
self.substructure(VV.leg2, event)
if not hasattr(VV.leg2, 'substructure'):
return output
#check if there are subjets
# if len(VV.leg2.substructure.prunedSubjets)<2:
# print 'No substructure',len(VV.leg2.substructure.prunedSubjets)
# return output
#topology
satteliteJets = self.selectJets(
event.jets, lambda x: x.pt() > 30.0 and x.jetID('POG_PFID_Loose'),
tightLeptonsForW, 0.3, [bestJet], 0.8)
otherLeptons = self.cleanOverlap(looseLeptonsForW, [bestW.leg1])
self.topology(VV, satteliteJets, otherLeptons)
output.append(VV)
return output
def makeTOPCR(self, event):
output = []
#loop on the leptons
looseLeptonsForW = filter(
lambda x: (abs(x.pdgId()) == 11 and x.heepID) or
(abs(x.pdgId()) == 13 and x.highPtIDIso), event.selectedLeptons)
tightLeptonsForW = filter(
lambda x: (abs(x.pdgId()) == 11 and x.heepID and x.pt() > 120) or
(abs(x.pdgId()) == 13 and x.highPtIDIso and x.pt() > 53 and abs(
x.eta()) < 2.1), event.selectedLeptons)
if len(tightLeptonsForW) == 0:
return output
#make leptonic W
W = self.vbTool.makeW(tightLeptonsForW, event.met)
if len(W) == 0:
return output
bestW = max(W, key=lambda x: x.leg1.pt())
#now the jets
fatJets = self.selectJets(
event.jetsAK8, lambda x: x.pt() > 200.0 and abs(x.eta()) < 2.4 and
x.jetID('POG_PFID_Loose'), tightLeptonsForW, 1.0)
fatJets = filter(
lambda x: abs(deltaPhi(bestW.leg1.phi(), x.phi())) > ROOT.TMath.Pi(
) / 2.0, fatJets)
if len(fatJets) == 0:
return output
bestJet = max(fatJets, key=lambda x: x.mass())
VV = Pair(bestW, bestJet)
if deltaR(bestW.leg1.eta(), bestW.leg1.phi(), bestJet.eta(),
bestJet.phi()) < ROOT.TMath.Pi() / 2.0:
return output
if VV.deltaPhi() < 2.0:
return output
if abs(deltaPhi(bestW.leg2.phi(), bestJet.phi())) < 2.0:
return output
#substructure
self.substructure(VV.leg2, event)
if not hasattr(VV.leg2, "substructure"):
return output
#check if there are subjets
# if len(VV.leg2.substructure.prunedSubjets)<2:
# print 'No substructure',len(VV.leg2.substructure.prunedSubjets)
# return output
#topology
satteliteJets = self.selectJets(
event.jets, lambda x: x.pt() > 30.0 and x.jetID('POG_PFID_Loose'),
tightLeptonsForW, 0.3, [bestJet], 0.8)
otherLeptons = self.cleanOverlap(looseLeptonsForW, [bestW.leg1])
self.topology(VV, satteliteJets, otherLeptons)
output.append(VV)
return output
def makeZV(self, event):
output = []
#loop on the leptons
leptonsForZ = filter(
lambda x: (abs(x.pdgId()) == 11 and x.heepIDNoIso) or
(abs(x.pdgId()) == 13 and (x.highPtID or x.highPtTrackID)),
event.selectedLeptons)
if len(leptonsForZ) < 2:
return output
#make leptonic Z
Z = self.vbTool.makeZ(leptonsForZ)
if len(Z) == 0:
return output
bestZ = max(Z, key=lambda x: x.pt())
#other higbn pt isolated letpons in the event
otherGoodLeptons = self.cleanOverlap(leptonsForZ,
[bestZ.leg1, bestZ.leg2])
otherTightLeptons = filter(
lambda x: (abs(x.pdgId()) == 11 and x.heepID) or
(abs(x.pdgId()) == 13 and (x.highPtIDIso)), otherGoodLeptons)
#now the jets
fatJets = self.selectJets(
event.jetsAK8, lambda x: x.pt() > 200.0 and abs(x.eta()) < 2.4 and
x.jetID('POG_PFID_Loose'), [bestZ.leg1, bestZ.leg2], 1.0)
if len(fatJets) == 0:
return output
bestJet = max(fatJets, key=lambda x: x.pt())
VV = Pair(bestZ, bestJet)
#substructure
self.substructure(VV.leg2, event)
if not hasattr(VV.leg2, "substructure"):
return output
#check if there are subjets
# if len(VV.leg2.substructure.prunedSubjets)<2:
# print 'No substructure',len(VV.leg2.substructure.prunedSubjets)
# return output
#topology
satteliteJets = self.selectJets(
event.jets, lambda x: x.pt() > 30.0 and x.jetID('POG_PFID_Loose'),
otherTightLeptons, 0.3, [bestJet], 0.8)
self.topology(VV, satteliteJets, otherTightLeptons)
output.append(VV)
return output
def makeJJ(self, event):
output = []
#loop on the leptons
leptons = filter(
lambda x: (abs(x.pdgId()) == 11 and x.heepID) or
(abs(x.pdgId()) == 13 and x.highPtIDIso), event.selectedLeptons)
fatJets = self.selectJets(
event.jetsAK8, lambda x: x.pt() > 200.0 and abs(x.eta()) < 2.4 and
x.jetID('POG_PFID_Tight'), leptons, 1.0)
if len(fatJets) < 2:
return output
VV = Pair(fatJets[0], fatJets[1])
#kinematics
if abs(VV.leg1.eta() - VV.leg2.eta()) > 1.3 or VV.mass() < 1000:
return output
self.substructure(VV.leg1, event)
self.substructure(VV.leg2, event)
if not hasattr(VV.leg1, "substructure"):
return output
if not hasattr(VV.leg2, "substructure"):
return output
#check if there are subjets
# if len(VV.leg2.substructure.prunedSubjets)<2 or len(VV.leg1.substructure.prunedSubjets)<2:
# print 'No substructure'
# return output
#topology
satteliteJets = self.selectJets(
event.jets, lambda x: x.pt() > 30.0 and x.jetID('POG_PFID_Loose'),
leptons, 0.3, [VV.leg1, VV.leg2], 0.8)
self.topology(VV, satteliteJets, leptons)
output.append(VV)
return output
def makeMETV(self, event):
output = []
#loop on the leptons
leptons = filter(
lambda x: (abs(x.pdgId()) == 11 and x.heepID) or
(abs(x.pdgId()) == 13 and x.highPtIDIso), event.selectedLeptons)
fatJets = self.selectJets(
event.jetsAK8, lambda x: x.pt() > 200.0 and abs(x.eta()) < 2.4 and
x.jetID('POG_PFID_Loose'), leptons, 1.0)
if len(fatJets) < 1:
return output
VV = Pair(event.met, fatJets[0])
#kinematics
if VV.deltaPhi() < 2.0 or VV.leg1.pt() < 200:
return output
self.substructure(VV.leg2, event)
if not hasattr(VV.leg2, "substructure"):
return output
#check if there are subjets
# if len(VV.leg2.substructure.prunedSubjets)<2:
# print 'No substructure'
# return output
#topology
satteliteJets = self.selectJets(
event.jets, lambda x: x.pt() > 30.0 and x.jetID('POG_PFID_Loose'),
leptons, 0.3, [VV.leg2], 0.8)
self.topology(VV, satteliteJets, leptons)
output.append(VV)
return output
def process(self, event):
self.readCollections(event.input)
#first create a set of four vectors to recluster jets later
event.LVs = ROOT.std.vector("math::XYZTLorentzVector")()
#load packed candidatyes
cands = self.handles['packed'].product()
#if use PUPPI weigh them or lese just pass through
if self.doPUPPI:
for c in cands:
if c.pt() > 13000 or c.pt() == float('Inf'):
continue
if c.puppiWeight() > 0:
event.LVs.push_back(c.p4() * c.puppiWeight())
else:
for c in cands:
if c.pt() > 13000 or c.pt() == float('Inf'):
continue
event.LVs.push_back(c.p4())
LNuJJ = self.makeWV(event)
LLJJ = self.makeZV(event)
JJ = self.makeJJ(event)
JJNuNu = self.makeMETV(event)
TopCR = self.makeTOPCR(event)
setattr(event, 'LNuJJ' + self.cfg_ana.suffix, LNuJJ)
setattr(event, 'JJ' + self.cfg_ana.suffix, JJ)
setattr(event, 'LLJJ' + self.cfg_ana.suffix, LLJJ)
setattr(event, 'JJNuNu' + self.cfg_ana.suffix, JJNuNu)
setattr(event, 'TopCR' + self.cfg_ana.suffix, TopCR)