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vhbb.py
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vhbb.py
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#! /usr/bin/env python
fastObjects=True
#Switch to True to produce x1, x2, id1, id2, pdf scale
doPDFVars = False
import ROOT
from DataFormats.FWLite import *
import PhysicsTools.HeppyCore.framework.config as cfg
from VHbbAnalysis.Heppy.vhbbobj import *
from PhysicsTools.HeppyCore.utils.deltar import deltaPhi
from PhysicsTools.Heppy.analyzers.core.AutoFillTreeProducer import *
from VHbbAnalysis.Heppy.btagSF import btagSFhandle, get_event_SF
import logging
logging.basicConfig(level=logging.WARNING)
import os
cfg.Analyzer.nosubdir = True
treeProducer= cfg.Analyzer(
class_object=AutoFillTreeProducer,
defaultFloatType = "F",
verbose=False,
vectorTree = True,
globalVariables = [
NTupleVariable("puWeightUp", lambda ev : getattr(ev,"puWeightPlus",1.), help="Pileup up variation",mcOnly=True),
NTupleVariable("puWeightDown", lambda ev : getattr(ev,"puWeightMinus",1.), help="Pileup down variation",mcOnly=True),
NTupleVariable("json", lambda ev : getattr(ev,"json",True), help="Passing json selection"),
NTupleVariable("json_silver", lambda ev : getattr(ev,"json_silver",True), help="Passing silver json selection"),
NTupleVariable("nPU0", lambda ev : [bx.nPU() for bx in ev.pileUpInfo if bx.getBunchCrossing()==0][0], help="nPU in BX=0",mcOnly=True),
NTupleVariable("nPVs", lambda ev : len(ev.goodVertices), help="total number of good PVs"),
NTupleVariable("Vtype", lambda ev : ev.Vtype, help="Event classification"),
NTupleVariable("VtypeSim", lambda ev : ev.VtypeSim, help="Event classification",mcOnly=True),
NTupleVariable("VMt", lambda ev : ev.V.goodMt, help="Transverse mass of the vector boson"),
NTupleVariable("HVdPhi", lambda ev : deltaPhi(ev.V.phi(),ev.H.phi()), help="Delta phi between Higgs and Z/W"),
NTupleVariable("fakeMET_sumet", lambda ev : ev.fakeMET.sumet, help="Fake SumET from Zmumu events removing muons"),
NTupleVariable("bx", lambda ev: ev.input.eventAuxiliary().bunchCrossing(), int, help="bunch crossing number"),
NTupleVariable("caloMetPt", lambda ev: ev.met.caloMETPt(), float, help="calo met pt "),
NTupleVariable("caloMetPhi", lambda ev: ev.met.caloMETPhi(), float, help="calo met phi"),
NTupleVariable("rho", lambda ev: ev.rho, float, help="kt6PFJets rho"),
NTupleVariable("rhoN", lambda ev: ev.rhoN, float, help="rho with neutrals only"),
NTupleVariable("rhoCHPU", lambda ev: ev.rhoCHPU, float, help="rho with charged pileup particles"),
NTupleVariable("rhoCentral", lambda ev: ev.rho, float, help="rho central"),
NTupleVariable("deltaR_jj", lambda ev: deltaR(ev.hJets[0].eta(),ev.hJets[0].phi(),ev.hJets[1].eta(),ev.hJets[1].phi()) if len(ev.hJets) > 1 else -1, float, help="deltaR higgsJets"),
NTupleVariable("lheNj", lambda ev: ev.lheNj, float,mcOnly=True, help="number of jets at LHE level"),
NTupleVariable("lheNb", lambda ev: ev.lheNb, float,mcOnly=True, help="number of b-jets at LHE level"),
NTupleVariable("lheNc", lambda ev: ev.lheNc, float,mcOnly=True, help="number of c-jets at LHE level"),
NTupleVariable("lheNg", lambda ev: ev.lheNg, float,mcOnly=True, help="number of gluon jets at LHE level"),
NTupleVariable("lheNl", lambda ev: ev.lheNl, float,mcOnly=True, help="number of light(uds) jets at LHE level"),
NTupleVariable("lheV_pt", lambda ev: ev.lheV_pt, float,mcOnly=True, help="Vector pT at LHE level"),
NTupleVariable("lheHT", lambda ev: ev.lheHT, float,mcOnly=True, help="HT at LHE level"),
#NTupleVariable("LHE_originalWeight", lambda ev: ev.LHE_originalWeight, float, mcOnly=True, help="LHE original weight (for normalisation of LHE_weights)"),
NTupleVariable("genTTHtoTauTauDecayMode", lambda ev: ev.genTTHtoTauTauDecayMode, int,mcOnly=True, help="gen level ttH, H -> tautau decay mode"),
#Soft Activity vars
# NTupleVariable("totSoftActivityJets2", lambda ev: len([ x for x in ev.softActivityJets if x.pt()> 2 ] ), int, help="number of jets from soft activity with pt>2Gev"),
# NTupleVariable("totSoftActivityJets5", lambda ev: len([ x for x in ev.softActivityJets if x.pt()> 5 ] ), int, help="number of jets from soft activity with pt>5Gev"),
# NTupleVariable("totSoftActivityJets10", lambda ev: len([ x for x in ev.softActivityJets if x.pt()> 10 ] ), int, help="number of jets from soft activity with pt>10Gev"),
NTupleVariable("ttCls", lambda ev: getattr(ev, "ttbarCls", -1), float,mcOnly=True, help="ttbar classification via GenHFHadronMatcher"),
NTupleVariable("heavyFlavourCategory", lambda ev: getattr(ev, "ttbarCategory", -1), float,mcOnly=True, help="ttbar classification via GenHFHadronMatcher and the official GenTtbarClassifier code"),
NTupleVariable("mhtJet30", lambda ev : ev.mhtJet30, help="mht with jets30"),
NTupleVariable("mhtPhiJet30", lambda ev : ev.mhtPhiJet30, help="mht phi with jets30"),
NTupleVariable("htJet30", lambda ev : ev.htJet30, help="ht with jets30"),
NTupleVariable("met_sig", lambda ev : ev.met.significance(), help="met significance from MET::significance() method"),
NTupleVariable("met_covXX", lambda ev : ev.met.getSignificanceMatrix().At(0,0), help="xx element of met covariance matrix"),
NTupleVariable("met_covXY", lambda ev : ev.met.getSignificanceMatrix().At(0,1), help="xy element of met covariance matrix"),
NTupleVariable("met_covYY", lambda ev : ev.met.getSignificanceMatrix().At(1,1), help="yy element of met covariance matrix"),
NTupleVariable("met_rawpt", lambda ev : ev.met.uncorPt(), help="raw met"),
NTupleVariable("metPuppi_pt", lambda ev : ev.metPuppi.pt(), help="met from Puppi"),
NTupleVariable("metPuppi_phi", lambda ev : ev.metPuppi.phi(), help="met phi from Puppi"),
NTupleVariable("metPuppi_rawpt", lambda ev : ev.metPuppi.uncorPt(), help="raw met from Puppi"),
NTupleVariable("metType1p2_pt", lambda ev : ev.met.shiftedPt(12,2), help="type1type2met"),
NTupleVariable("tkMet_pt", lambda ev : ev.quickTkMET.pt(), help="pt of quick tk E_{T}^{miss}"),
NTupleVariable("tkMet_phi", lambda ev : ev.quickTkMET.phi(), help="phi of quick tk E_{T}^{miss}"),
# NTupleVariable("tkMet_pt", lambda ev : ev.tkMet.pt(), help="E_{T}^{miss} from tracks"),
# NTupleVariable("tkMet_phi", lambda ev : ev.tkMet.phi(), help="phi of E_{T}^{miss} from tracks"),
# NTupleVariable("tkMetPVchs_pt", lambda ev : ev.tkMetPVchs.pt(), help="E_{T}^{miss} from tracks"),
# NTupleVariable("tkMetPVchs_phi", lambda ev : ev.tkMetPVchs.phi(), help="phi of E_{T}^{miss} from tracks"),
NTupleVariable("isrJetVH", lambda ev : ev.isrJetVH, help="Index of ISR jet in VH"),
# NTupleVariable("Flag_hbheIsoFilter", lambda ev : ev.hbheFilterIso, help="hbheFilterIso, after rerun"),
# NTupleVariable("Flag_hbheFilterNew", lambda ev : ev.hbheFilterNew, help="hbheFilterIso, after rerun"),
NTupleVariable("simPrimaryVertex_z", lambda ev: ev.genvertex, float,mcOnly=True, help="z coordinate of the simulated primary vertex"),
NTupleVariable("genHiggsDecayMode", lambda ev: ev.genHiggsDecayMode, float, mcOnly=True, help="decay mode of the Higgs boson"),
NTupleVariable("triggerEmulationWeight", lambda ev: ev.triggerEmulationWeight, float, mcOnly=True, help="Emulates SL/DL triggers"),
],
globalObjects = {
"met" : NTupleObject("met", metType, help="PF E_{T}^{miss}, after default type 1 corrections"),
"fakeMET" : NTupleObject("fakeMET", fourVectorType, help="fake MET in Zmumu event obtained removing the muons"),
"H" : NTupleObject("H", fourVectorType, help="higgs"),
"H_reg" : NTupleObject("H_reg", fourVectorType, help="regressed higgs"),
"H_reg_corrJECUp" : NTupleObject("H_reg_corrJECUp", fourVectorType, help="regressed higgs for JECUp"),
"H_reg_corrJECDown" : NTupleObject("H_reg_corrJECDown", fourVectorType, help="regressed higgs for JECDown"),
"H_reg_corrJERUp" : NTupleObject("H_reg_corrJERUp", fourVectorType, help="regressed higgs for JERUp"),
"H_reg_corrJERDown" : NTupleObject("H_reg_corrJERDown", fourVectorType, help="regressed higgs for JERDown"),
"HCSV" : NTupleObject("HCSV", fourVectorType, help="higgs CSV selection"),
"HCSV_reg" : NTupleObject("HCSV_reg", fourVectorType, help="regresses higgs CSV selection"),
"HCSV_reg_corrJECUp" : NTupleObject("HCSV_reg_corrJECUp", fourVectorType, help="reg_corrresses higgs for JECUp CSV selection"),
"HCSV_reg_corrJECDown" : NTupleObject("HCSV_reg_corrJECDown", fourVectorType, help="reg_corrresses higgs for JECDown CSV selection"),
"HCSV_reg_corrJERUp" : NTupleObject("HCSV_reg_corrJERUp", fourVectorType, help="reg_corrresses higgs for JERUp CSV selection"),
"HCSV_reg_corrJERDown" : NTupleObject("HCSV_reg_corrJERDown", fourVectorType, help="regressed higgs for JERDown CSV selection"),
"HCMVAV2" : NTupleObject("HCMVAV2", fourVectorType, help="higgs CMVAV2 selection"),
"HCMVAV2_reg" : NTupleObject("HCMVAV2_reg", fourVectorType, help="regresses higgs CMVAV2 selection"),
"HCMVAV2_reg_corrJECUp" : NTupleObject("HCMVAV2_reg_corrJECUp", fourVectorType, help="reg_corrresses higgs for JECUp CMVAV2 selection"),
"HCMVAV2_reg_corrJECDown" : NTupleObject("HCMVAV2_reg_corrJECDown", fourVectorType, help="reg_corrresses higgs for JECDown CMVAV2 selection"),
"HCMVAV2_reg_corrJERUp" : NTupleObject("HCMVAV2_reg_corrJERUp", fourVectorType, help="reg_corrresses higgs for JERUp CMVAV2 selection"),
"HCMVAV2_reg_corrJERDown" : NTupleObject("HCMVAV2_reg_corrJERDown", fourVectorType, help="regressed higgs for JERDown CMVAV2 selection"),
"HaddJetsdR08" : NTupleObject("HaddJetsdR08", fourVectorType, help="higgs with cen jets added if dR<0.8 from hJetsCSV selection"),
"V" : NTupleObject("V", fourVectorType, help="z or w"),
"softActivityJets" : NTupleObject("softActivity", softActivityType, help="VBF soft activity variables"),
"softActivityVHJets" : NTupleObject("softActivityVH", softActivityType, help="VH soft activity variables"),
"softActivityEWKJets" : NTupleObject("softActivityEWK", softActivityType, help="EWK soft activity variables"),
"l1MET" : NTupleObject("l1MET", twoVectorType , help="Stage-2 L1 trigger MET", mcOnly=False),
# "l1MET2" : NTupleObject("l1MET2", twoVectorType , help="Stage-2 L1 trigger MET", mcOnly=False), #l1MET2 is defined in "l1t::EtSum" but it is empty
"l1MHT" : NTupleObject("l1MHT", twoVectorType , help="Stage-2 L1 trigger MHT", mcOnly=False),
"l1ET" : NTupleObject("l1ET", twoVectorType , help="Stage-2 L1 trigger ET", mcOnly=False),
"l1HT" : NTupleObject("l1HT", twoVectorType , help="Stage-2 L1 trigger HT", mcOnly=False),
},
collections = {
#standard dumping of objects
"selectedLeptons" : NTupleCollection("selLeptons", leptonTypeVHbb, 8, help="Leptons after the preselection"),
# "inclusiveLeptons" : NTupleCollection("incLeptons", leptonTypeVHbb, 8, help="Leptons after the preselection"),
#old style stuff, can be removed at some point
"vLeptons" : NTupleCollection("vLeptons", leptonTypeVHbb, 8, help="Leptons after the preselection"),
"aLeptons" : NTupleCollection("aLeptons", leptonTypeVHbb, 8, help="Additional leptons, not passing the preselection"),
# now store only indices, this lines are left commented for possible debugging
# "hJets" : NTupleCollection("hJets", jetTypeVHbb, 8, sortDescendingBy = lambda jet : jet.btag('combinedSecondaryVertexBJetTags'),help="Higgs jets"),
# "aJets" : NTupleCollection("aJets", jetTypeVHbb, 8, sortDescendingBy = lambda jet : jet.btag('combinedSecondaryVertexBJetTags'),help="Additional jets"),
"hjidx" : NTupleCollection("hJidx", objectInt, 2,help="Higgs jet indices"),
"hjidxDiJetPtByCSV" : NTupleCollection("hJidx_sortcsv", objectInt, 2,help="Higgs jet indices within hJets with CSV sorting "),
"ajidx" : NTupleCollection("aJidx", objectInt, 8,help="additional jet indices"),
"hjidxCSV" : NTupleCollection("hJCidx", objectInt, 2,help="Higgs jet indices CSV"),
"ajidxCSV" : NTupleCollection("aJCidx", objectInt, 8,help="additional jet indices CSV"),
"hjidxCMVAV2" : NTupleCollection("hJCMVAV2idx", objectInt, 2,help="Higgs jet indices CMVAV2"),
"ajidxCMVAV2" : NTupleCollection("aJCMVAV2idx", objectInt, 8,help="additional jet indices CMVAV2"),
"cleanJetsAll" : NTupleCollection("Jet", jetTypeVHbb, 25, help="Cental+fwd jets after full selection and cleaning, sorted by b-tag"),
"hjidxaddJetsdR08" : NTupleCollection("hjidxaddJetsdR08", objectInt, 5,help="Higgs jet indices with Higgs formed adding cen jets if dR<0.8 from hJetsCSV"),
"ajidxaddJetsdR08" : NTupleCollection("ajidxaddJetsdR08", objectInt, 8,help="additional jet indices with Higgs formed adding cen jets if dR<0.8 from hJetsCSV"),
"dRaddJetsdR08" : NTupleCollection("dRaddJetsdR08", objectFloat, 5,help="dR of add jet with Higgs formed adding cen jets if dR<0.8 from hJetsCSV"),
# "discardedJets" : NTupleCollection("DiscardedJet", jetTypeVHbb, 15, help="jets that were discarded"),
"inclusiveTaus" : NTupleCollection("TauGood", tauTypeVHbb, 25, help="Taus after the preselection"),
"softActivityJets" : NTupleCollection("softActivityJets", fourVectorType, 5, help="jets made for soft activity"),
"softActivityVHJets" : NTupleCollection("softActivityVHJets", fourVectorType, 5, help="jets made for soft activity VH version"),
"softActivityEWKJets" : NTupleCollection("softActivityEWKJets", fourVectorType, 5, help="jets made for soft activity EWK version"),
"goodVertices" : NTupleCollection("primaryVertices", primaryVertexType, 4, help="first four PVs"),
#dump of gen objects
#"generatorSummary" : NTupleCollection("GenSummary", genParticleWithLinksType, 30, help="Generator summary, see description in Heppy GeneratorAnalyzer",mcOnly=True),
"genJets" : NTupleCollection("GenJet", genJetType, 15, help="Generated jets with hadron matching, sorted by pt descending",filter=lambda x: x.pt() > 20,mcOnly=True),
"vh_genHiggsSisters" : NTupleCollection("GenHiggsSisters", genParticleType, 4, help="Sisters of the Higgs bosons",mcOnly=True),
"vh_gentopquarks" : NTupleCollection("GenTop", genTopType, 4, help="Generated top quarks from hard scattering",mcOnly=True),
"vh_genallstatus2bhadrons" : NTupleCollection("GenStatus2bHad", genParticleType, 15, help="Generated Status 2 b Hadrons",mcOnly=True),
"gennusFromTop" : NTupleCollection("GenNuFromTop", genParticleType, 4, help="Generated neutrino from t->W decay",mcOnly=True),
"vh_genbquarksFromH" : NTupleCollection("GenBQuarkFromH", genParticleType, 4, help="Generated bottom quarks from Higgs decays",mcOnly=True),
"vh_genbquarksFromTop" : NTupleCollection("GenBQuarkFromTop", genParticleType, 4, help="Generated bottom quarks from top decays",mcOnly=True),
"vh_genbquarksFromHafterISR" : NTupleCollection("GenBQuarkFromHafterISR", genParticleType, 4, help="Generated bottom quarks from Higgs decays",mcOnly=True),
"vh_gengluonfromb" : NTupleCollection("GenGluonFromB", genParticleType, 4, help="Generated gluons from b-quarks",mcOnly=True),
"vh_gengluonfromt" : NTupleCollection("GenGluonFromTop", genParticleType, 4, help="Generated gluons from top quarks",mcOnly=True),
"vh_genwzquarks" : NTupleCollection("GenWZQuark", genParticleType, 6, help="Generated quarks from W/Z decays",mcOnly=True),
"vh_genleps" : NTupleCollection("GenLep", genParticleWithAncestryType, 6, help="Generated leptons from W/Z/Higgs decays",mcOnly=True),
"gennus" : NTupleCollection("GenNu", genParticleWithAncestryType, 6, help="Generated neutrino from W/Z decays",mcOnly=True),
"gentaus" : NTupleCollection("GenTaus", genParticleWithAncestryType, 6, help="Generated taus",mcOnly=True),
"gennusFromTau" : NTupleCollection("GenNuFromTau", genParticleType, 8, help="Generated neutrino from tau decay",mcOnly=True),
"vh_genlepsRecovered" : NTupleCollection("GenLepRecovered", genParticleType, 4, help="Generated leptons from recovered W/Z decays",mcOnly=True),
"genlepsFromTop" : NTupleCollection("GenLepFromTop", genParticleType, 4, help="Generated leptons from t->W decays",mcOnly=True),
"gentauleps" : NTupleCollection("GenLepFromTau", genParticleType, 6, help="Generated leptons from decays of taus from W/Z/Higgs decays",mcOnly=True),
"vh_genHiggsBosons" : NTupleCollection("GenHiggsBoson", genParticleType, 4, help="Generated Higgs boson ",mcOnly=True),
#"genZbosonsToLL" : NTupleCollection("GenZbosonsToLL", genParticleType, 6, help="Generated W or Z bosons decaying to LL"),
#"genWbosonsToLL" : NTupleCollection("GenWbosonsToLL", genParticleType, 6, help="Generated W or Z bosons decaying to LL"),
"vh_genvbosons" : NTupleCollection("GenVbosons", genParticleType, 6, help="Generated W or Z bosons, mass > 30",mcOnly=True),
"vh_genvbosonsRecovered" : NTupleCollection("GenVbosonsRecovered", genParticleType, 6, help="Generated W or Z bosons recovered from daughters, mass > 30",mcOnly=True),
"pileUpVertex_z" : NTupleCollection("pileUpVertex_z", objectFloat, 5,help="z position of hardest pile-up collisions",mcOnly=True),
"pileUpVertex_ptHat" : NTupleCollection("pileUpVertex_ptHat", objectFloat, 5,help="z position of hardest pile-up collisions",mcOnly=True),
"LHE_weights_scale" : NTupleCollection("LHE_weights_scale", weightsInfoType , 6 ,help="LHE weights for scale variation", mcOnly=True),
"LHE_weights_pdf" : NTupleCollection("LHE_weights_pdf", weightsInfoType , 103 ,help="LHE weights for pdf variation (NNPDF)", mcOnly=True),
"HTXSRivetProducer_cat0" : NTupleCollection("HTXSRivetProducer_cat0", objectInt , 1 ,help="HTXSRivetProducer event category step 0", mcOnly=True),
"HTXSRivetProducer_cat1" : NTupleCollection("HTXSRivetProducer_cat1", objectInt , 1 ,help="HTXSRivetProducer event category step 1", mcOnly=True),
"l1Jets" : NTupleCollection("l1Jets", l1CandidateType , 20 ,help="Stage-2 L1 trigger jets", mcOnly=False),
"l1Taus" : NTupleCollection("l1Taus", l1CandidateType , 20 ,help="Stage-2 L1 trigger taus", mcOnly=False),
"l1Muons" : NTupleCollection("l1Muons", l1CandidateType , 20 ,help="Stage-2 L1 trigger muons", mcOnly=False),
"l1EGammas" : NTupleCollection("l1EGammas", l1CandidateType , 20 ,help="Stage-2 L1 trigger EGammas", mcOnly=False),
}
)
#Create shifted MET Ntuples
metNames={y.__get__(ROOT.pat.MET):x for x,y in ROOT.pat.MET.__dict__.items() if (x[-2:]=="Up" or x[-4:]=="Down")}
print "met Names", metNames
shifted_met_keys = ["met_shifted_{0}".format(n) for n in range(12)] #we do not need noShift I gueess
shifted_met_names = ["met_shifted_%s"%metNames[n] for n in range(12)] #we do not need noShift I gueess
shifted_mets = {mk: NTupleObject(nm, shiftedMetType, help="PF E_{T}^{miss}, after default type 1 corrections, shifted with %s" %mk) for mk,nm in zip(shifted_met_keys,shifted_met_names)}
treeProducer.globalObjects.update(shifted_mets)
btag_weights = {}
for algo in ["CSV", "CMVAV2"]:
for syst in ["central", "up_jes", "down_jes", "up_lf", "down_lf", "up_hf", "down_hf", "up_hfstats1", "down_hfstats1", "up_hfstats2", "down_hfstats2", "up_lfstats1", "down_lfstats1", "up_lfstats2", "down_lfstats2", "up_cferr1", "down_cferr1", "up_cferr2", "down_cferr2"]:
syst_name = "" if syst=="central" else ("_"+syst)
btag_weights["btagWeight"+algo+syst_name] = NTupleVariable("btagWeight"+algo+syst_name,
lambda ev, get_event_SF=get_event_SF, syst=syst, algo=algo, btagSFhandle=btagSFhandle : get_event_SF(ev.cleanJetsAll, syst, algo, btagSFhandle)
, float, mcOnly=True, help="b-tag "+algo+"continuous weight, variating "+syst
)
treeProducer.globalVariables += list(btag_weights.values())
ZllKinFitResults = {}
for analysis in ["","corrJECUp", "corrJECDown", "corrJERUp", "corrJERDown"]:
name = "ZllKinFit"+("" if analysis=="" else "_")+analysis
ZllKinFitResults[name+"_mass"] = NTupleVariable(name+"_mass", lambda ev, name=name : getattr(ev, name+"_mass", -99.), float, mcOnly=False, help="Zll kin fit mass (=mass of the HCSV jets after kinematic fit) for analysis "+analysis)
ZllKinFitResults[name+"_njet"] = NTupleVariable(name+"_njet", lambda ev, name=name : getattr(ev, name+"_njet", -99), int, mcOnly=False, help="Zll kin fit njet (=number of jets used for kinematic fit) for analysis "+analysis)
ZllKinFitResults[name+"_status"] = NTupleVariable(name+"_status", lambda ev, name=name : getattr(ev, name+"_status", -99), int, mcOnly=False, help="Zll kin fit status (=0 if success, =1 otherwise) for analysis "+analysis)
treeProducer.globalVariables += list(ZllKinFitResults.values())
'''
for syst in ["JES", "LF", "HF", "HFStats1", "HFStats2", "LFStats1", "LFStats2", "cErr1", "cErr2"]:
for sdir in ["Up", "Down"]:
name = "bTagWeight"+syst+sdir
btag_weights[name] = NTupleVariable("bTagWeight_" + syst + sdir,
lambda ev, sname=syst+sdir: bweightcalc.calcEventWeight(
ev.cleanJetsAll, kind="final", systematic=sname
), float, mcOnly=True, help="b-tag CSV weight, variating "+syst+" "+sdir
)
btag_weights["bTagWeight"] = NTupleVariable("bTagWeight",
lambda ev: bweightcalc.calcEventWeight(
ev.cleanJetsAll, kind="final", systematic="nominal"
), float ,mcOnly=True, help="b-tag CSV weight, nominal"
)
#print list(btag_weights.values())
treeProducer.globalVariables += list(btag_weights.values())
'''
# Lepton Analyzer, take its default config and fix loose iso consistent with tight definition
from PhysicsTools.Heppy.analyzers.objects.LeptonAnalyzer import LeptonAnalyzer
LepAna = LeptonAnalyzer.defaultConfig
#LepAna.doElectronScaleCorrections = {
# 'data' : 'EgammaAnalysis/ElectronTools/data/76X_16DecRereco_2015',
# 'GBRForest' : [os.environ['CMSSW_BASE']+'/src/VHbbAnalysis/Heppy/data/egamma/egamma_epComb_GBRForest_76X.root','gedelectron_p4combination_25ns'],
# 'isSync' : False
# }
LepAna.mu_isoCorr = "deltaBeta"
#LepAna.loose_muon_isoCut = lambda muon : muon.relIso04 < 0.25
LepAna.loose_muon_isoCut = lambda muon : (muon.relIso04 < 0.4 or muon.miniRelIso < 0.4)
LepAna.loose_muon_pt = 4.5
LepAna.ele_isoCorr = "rhoArea"
LepAna.loose_electron_isoCut = lambda electron : (electron.relIso03 < 0.4 or electron.miniRelIso < 0.4)
#LepAna.loose_electron_isoCut = lambda electron : ele_mvaEleID_Trig_preselection(electron)
LepAna.loose_electron_pt = 6.5
LepAna.loose_electron_eta = 2.5
#LepAna.loose_electron_id = "mvaEleID-Spring15-25ns-Trig-V1-wp90"
LepAna.doMiniIsolation = True
from PhysicsTools.Heppy.analyzers.objects.VertexAnalyzer import VertexAnalyzer
VertexAna = VertexAnalyzer.defaultConfig
VertexAna.keepFailingEvents = True
VertexAna.scores = 'offlineSlimmedPrimaryVertices'
from PhysicsTools.Heppy.analyzers.objects.PhotonAnalyzer import PhotonAnalyzer
PhoAna = PhotonAnalyzer.defaultConfig
from PhysicsTools.Heppy.analyzers.objects.TauAnalyzer import TauAnalyzer
TauAna = TauAnalyzer.defaultConfig
TauAna.inclusive_ptMin = 18.
TauAna.inclusive_etaMax = 2.5
TauAna.inclusive_dxyMax = 1000.
TauAna.inclusive_dzMax = 0.4
TauAna.inclusive_vetoLeptons = False
TauAna.inclusive_leptonVetoDR = 0.4
TauAna.inclusive_decayModeID = "decayModeFindingNewDMs"
TauAna.inclusive_tauID = "decayModeFindingNewDMs"
TauAna.inclusive_vetoLeptonsPOG = False
TauAna.inclusive_tauAntiMuonID = ""
TauAna.inclusive_tauAntiElectronID = ""
TauAna.inclusive_tauLooseID = "decayModeFindingNewDMs"
from PhysicsTools.Heppy.analyzers.objects.JetAnalyzer import JetAnalyzer
JetAna = JetAnalyzer.defaultConfig
JetAna.calculateSeparateCorrections = True # CV: needed for ttH prompt lepton MVA
JetAna.lepSelCut = lambda lep : (abs(lep.pdgId()) == 11 and lep.relIso03 < 0.4) or (abs(lep.pdgId()) == 13 and lep.relIso04 < 0.4)
from PhysicsTools.Heppy.analyzers.gen.LHEAnalyzer import LHEAnalyzer
LHEAna = LHEAnalyzer.defaultConfig
from PhysicsTools.Heppy.analyzers.gen.LHEWeightAnalyzer import LHEWeightAnalyzer
LHEWeightAna = LHEWeightAnalyzer.defaultConfig
from PhysicsTools.Heppy.analyzers.gen.GeneratorAnalyzer import GeneratorAnalyzer
GenAna = GeneratorAnalyzer.defaultConfig
GenAna.allGenTaus = True
from VHbbAnalysis.Heppy.VHGeneratorAnalyzer import GeneratorAnalyzer as VHGeneratorAnalyzer
VHGenAna = VHGeneratorAnalyzer.defaultConfig
from PhysicsTools.Heppy.analyzers.objects.METAnalyzer import METAnalyzer
METAna = METAnalyzer.defaultConfig
##METAna.metCollection = "slimmedMETs::EX"
METAna.metCollection = "slimmedMETs"
METAna.recalibrate = False
METAna.applyJetSmearing = False
METAna.doTkMet = False
METAna.doMetNoPU = False
METAna.doTkGenMet = False
METAna.includeTkMetPVLoose = False
METAna.includeTkMetPVTight = False
METPuppiAna = copy.copy(METAna)
METPuppiAna.metCollection = "slimmedMETsPuppi"
METPuppiAna.doMetNoPU = False
METPuppiAna.recalibrate = False
METPuppiAna.collectionPostFix = "Puppi"
METPuppiAna.copyMETsByValue = True
METPuppiAna.doTkMet = False
METPuppiAna.doMetNoPU = False
from PhysicsTools.Heppy.analyzers.core.PileUpAnalyzer import PileUpAnalyzer
PUAna = PileUpAnalyzer.defaultConfig
from VHbbAnalysis.Heppy.VHbbAnalyzer import VHbbAnalyzer
JetAna.jetPt = 15
JetAna.jetEta = 4.7
JetAna.doQG=True
JetAna.QGpath=os.environ['CMSSW_BASE']+"/src/PhysicsTools/Heppy/data/pdfQG_AK4chs_13TeV_cmssw8020_v2.root"
JetAna.recalibrateJets=True
JetAna.jecPath=os.environ['CMSSW_BASE']+"/src/VHbbAnalysis/Heppy/data/jec"
#JetAna.mcGT="Fall15_25nsV2_MC"
#JetAna.dataGT = "Fall15_25nsV2_DATA"
JetAna.mcGT="Summer16_23Sep2016V3_MC"
JetAna.dataGT="Summer16_23Sep2016GV3_DATA"
JetAna.addJECShifts=True
JetAna.addJERShifts=True
factorizedJetCorrections = [
"AbsoluteStat",
"AbsoluteScale",
"AbsoluteFlavMap",
"AbsoluteMPFBias",
"Fragmentation",
"SinglePionECAL",
"SinglePionHCAL",
"FlavorQCD",
"TimePtEta",
"RelativeJEREC1",
"RelativeJEREC2",
"RelativeJERHF",
"RelativePtBB",
"RelativePtEC1",
"RelativePtEC2",
"RelativePtHF",
"RelativeBal",
"RelativeFSR",
"RelativeStatFSR",
"RelativeStatEC",
"RelativeStatHF",
"PileUpDataMC",
"PileUpPtRef",
"PileUpPtBB",
"PileUpPtEC1",
"PileUpPtEC2",
"PileUpPtHF",
"PileUpMuZero",
"PileUpEnvelope",
"SubTotalPileUp",
"SubTotalRelative",
"SubTotalPt",
"SubTotalScale",
"SubTotalAbsolute",
"SubTotalMC",
"Total",
"TotalNoFlavor",
"TotalNoTime",
"TotalNoFlavorNoTime",
"FlavorZJet",
"FlavorPhotonJet",
"FlavorPureGluon",
"FlavorPureQuark",
"FlavorPureCharm",
"FlavorPureBottom",
"TimeRunBCD",
"TimeRunEF",
"TimeRunG",
"TimeRunH",
"CorrelationGroupMPFInSitu",
"CorrelationGroupIntercalibration",
"CorrelationGroupbJES",
"CorrelationGroupFlavor",
"CorrelationGroupUncorrelated",
]
JetAna.factorizedJetCorrections = factorizedJetCorrections
for jet_type in [jetTypeVHbb, patSubjetType, subjetcorrType]:
for jet_corr in factorizedJetCorrections:
for sdir in ["Up", "Down"]:
name = jet_corr + sdir
jet_type.variables += [
NTupleVariable(
"corr_{0}".format(name),
lambda x, name = name: getattr(x, 'corr{0}'.format(name), -99),
float,
mcOnly=True,
help=""
)
]
# HTT Subjets
for subjet in ["sjW1", "sjW2", "sjNonW"]:
for jet_corr in factorizedJetCorrections:
for sdir in ["Up", "Down"]:
name = jet_corr + sdir
httType.variables += [
NTupleVariable(
"{0}_corr_{1}".format(subjet, name),
lambda x, name=name, subjet=subjet : getattr( getattr(x,subjet), 'corr{0}'.format(name), -99),
float,
mcOnly=True,
help=""
)
]
# delta-beta corrected isolation for muons:
# https://twiki.cern.ch/twiki/bin/view/CMS/SWGuideMuonIdRun2#Muon_Isolation
def mu_pfRelIso04(mu):
return (mu.pfIsolationR04().sumChargedHadronPt + max( mu.pfIsolationR04().sumNeutralHadronEt + mu.pfIsolationR04().sumPhotonEt - 0.5 * mu.pfIsolationR04().sumPUPt,0.0)) / mu.pt()
# the MVA-triggering preseletion according to:
# https://twiki.cern.ch/twiki/bin/viewauth/CMS/MultivariateElectronIdentificationRun2#Recommended_MVA_recipes_for_2015
def ele_mvaEleID_Trig_preselection(ele) :
return (ele.pt()>15 and
( ( abs(ele.superCluster().eta()) < 1.4442 and ele.full5x5_sigmaIetaIeta() < 0.012 and ele.hcalOverEcal() < 0.09 and (ele.ecalPFClusterIso() / ele.pt()) < 0.37 and (ele.hcalPFClusterIso() / ele.pt()) < 0.25 and (ele.dr03TkSumPt() / ele.pt()) < 0.18 and abs(ele.deltaEtaSuperClusterTrackAtVtx()) < 0.0095 and abs(ele.deltaPhiSuperClusterTrackAtVtx()) < 0.065 ) or
( abs(ele.superCluster().eta()) > 1.5660 and ele.full5x5_sigmaIetaIeta() < 0.033 and ele.hcalOverEcal() <0.09 and (ele.ecalPFClusterIso() / ele.pt()) < 0.45 and (ele.hcalPFClusterIso() / ele.pt()) < 0.28 and (ele.dr03TkSumPt() / ele.pt()) < 0.18 ) ) )
from VHbbAnalysis.Heppy.ttHLeptonMVAAnalyzer import ttHLeptonMVAAnalyzer
ttHLeptonMVA = cfg.Analyzer(
verbose = False,
class_object = ttHLeptonMVAAnalyzer,
)
from VHbbAnalysis.Heppy.TriggerEmulation import TriggerEmulationAnalyzer
trigemu = cfg.Analyzer(
verbose = False,
class_object = TriggerEmulationAnalyzer,
calibrationFile="triggerEmulation.root",
slEleSelection = lambda x : x.pt() > 25 and getattr(x,"mvaIdSpring16GeneralPurposePOG90",False) and ele_mvaEleID_Trig_preselection(x),
slMuSelection = lambda x : x.pt() > 25 and x.muonID("POG_ID_Tight") and mu_pfRelIso04(x) < 0.15,
dlEleSelection = lambda x : x.pt() > 15 and getattr(x,"mvaIdSpring16GeneralPurposePOG80",False) and ele_mvaEleID_Trig_preselection(x),
dlMuSelection = lambda x : x.pt() > 15 and x.muonID("POG_ID_Loose") and mu_pfRelIso04(x) < 0.25,
)
VHbb = cfg.Analyzer(
verbose=False,
class_object=VHbbAnalyzer,
wEleSelection = lambda x : x.pt() > 25 and getattr(x,"mvaIdSpring16GeneralPurposePOG90",False) and ele_mvaEleID_Trig_preselection(x),
wMuSelection = lambda x : x.pt() > 25 and x.muonID("POG_ID_Tight") and mu_pfRelIso04(x) < 0.15,
zEleSelection = lambda x : x.pt() > 15 and getattr(x,"mvaIdSpring16GeneralPurposePOG80",False) and ele_mvaEleID_Trig_preselection(x),
zMuSelection = lambda x : x.pt() > 15 and x.muonID("POG_ID_Loose") and mu_pfRelIso04(x) < 0.25,
zLeadingElePt = 20,
zLeadingMuPt = 20,
singleJetThreshold = 200,
sumPtThreshold = 160.,
higgsJetsPreSelection = lambda x: (( x.puJetId() > 0 and x.jetID('POG_PFID_Loose')) or abs(x.eta())>3.0 ) and x.pt() > 20 ,
higgsJetsPreSelectionVBF = lambda x: x.pt() > 20 ,
# higgsJetsPreSelectionVBF = lambda x: (( x.puJetId() > 0 and x.jetID('POG_PFID_Loose')) or abs(x.eta())>3.0 ) and x.pt() > 20,
passall=False,
doSoftActivityVH=True,
doZllKinematicFit=True,
doSoftActivityEWK=True,
doVBF=True,
regressions = [
{"weight":"ttbar-G25-500k-13d-300t.weights.xml", "name":"jet0Regression", "vtypes":[0,1,2,3,4,5,-1]},
],
regressionVBF = [
{"weight":"ttbar-G25-500k-13d-300t.weights.xml", "name":"jet0Regression_vbf", "vtypes":[0,1,2,3,4,5,-1]}
],
VBFblikelihood = {"weight":"TMVA_blikelihood_vbf_cmssw76_h21trained.weights.xml", "name":"BDGT"}
)
from VHbbAnalysis.Heppy.TTHtoTauTauAnalyzer import TTHtoTauTauAnalyzer
TTHtoTauTau = cfg.Analyzer(
verbose = False,
class_object = TTHtoTauTauAnalyzer,
)
from VHbbAnalysis.Heppy.TTHtoTauTauGeneratorAnalyzer import TTHtoTauTauGeneratorAnalyzer
TTHtoTauTauGen = cfg.Analyzer(
verbose = False,
class_object = TTHtoTauTauGeneratorAnalyzer,
)
#from VHbbAnalysis.Heppy.HeppyShell import HeppyShell
#sh = cfg.Analyzer( class_object=HeppyShell)
from PhysicsTools.Heppy.analyzers.core.TriggerBitAnalyzer import TriggerBitAnalyzer
from VHbbAnalysis.Heppy.TriggerTable import triggerTable
from VHbbAnalysis.Heppy.TriggerTableData import triggerTable as triggerTableData
TrigAna = cfg.Analyzer(
verbose = False,
class_object = TriggerBitAnalyzer,
triggerBits = triggerTable, #default is MC, use the triggerTableData in -data.py files
processName = 'HLT',
fallbackProcessName = 'HLT2',
# outprefix = 'HLT'
)
from PhysicsTools.HeppyCore.framework.services.tfile import TFileService
output_service = cfg.Service(
TFileService,
'outputfile',
name="outputfile",
fname='tree.root',
option='recreate'
)
from PhysicsTools.Heppy.analyzers.core.TriggerBitAnalyzer import TriggerBitAnalyzer
FlagsAna = TriggerBitAnalyzer.defaultEventFlagsConfig
FlagsAna.triggerBits.update( { "chargedHadronTrackResolutionFilter" : ["Flag_chargedHadronTrackResolutionFilter"], "muonBadTrackFilter" : ["Flag_muonBadTrackFilter"] , "GlobalTightHalo2016Filter" : ["Flag_globalTightHalo2016Filter"] } )
#from VHbbAnalysis.Heppy.hbheAnalyzer import *
#hbheAna = hbheAnalyzer.defaultConfig
### add trigger objects ####
from PhysicsTools.Heppy.analyzers.core.TriggerObjectsAnalyzer import TriggerObjectsAnalyzer
from VHbbAnalysis.Heppy.TriggerObjectsList import *
TriggerObjectsAna = TriggerObjectsAnalyzer.defaultConfig
TriggerObjectsAna.triggerObjectsCfgs = triggerObjectCollections
for collectionName in triggerObjectCollectionsFull.keys():
treeProducer.collections["trgObjects_"+collectionName] = NTupleCollection("trgObjects_"+collectionName, triggerObjectsType, 5, help="")
for collectionName in triggerObjectCollectionsOnlyPt.keys():
treeProducer.collections["trgObjects_"+collectionName] = NTupleCollection("trgObjects_"+collectionName, triggerObjectsOnlyPtType, 5, help="")
for collectionName in triggerObjectCollectionsOnlySize.keys():
treeProducer.collections["trgObjects_"+collectionName] = NTupleCollection("trgObjects_"+collectionName, triggerObjectsNothingType , 5, help="")
# treeProducer.globalVariables.append(NTupleVariable("trgObjects_"+collectionName+"_size", lambda ev : len(getattr(ev,"trgObjects_"+collectionName,[])), int, help="trigger objects size"))
### add L1 trigger objects ####
from PhysicsTools.Heppy.analyzers.core.L1TriggerAnalyzer import L1TriggerAnalyzer
L1TriggerAna = cfg.Analyzer(
class_object = L1TriggerAnalyzer,
processName = 'HLT',
)
###
from PhysicsTools.Heppy.analyzers.gen.PDFWeightsAnalyzer import PDFWeightsAnalyzer
PdfAna = cfg.Analyzer(PDFWeightsAnalyzer,
PDFWeights = [],
doPDFVars = doPDFVars
)
if doPDFVars:
treeProducer.globalVariables += [
NTupleVariable("pdf_x1", lambda ev: ev.pdf_x1, float,mcOnly=True, help="PDF energy fraction of first parton"),
NTupleVariable("pdf_x2", lambda ev: ev.pdf_x2, float,mcOnly=True, help="PDF energy fraction of second parton"),
NTupleVariable("pdf_id1", lambda ev: ev.pdf_id1, int,mcOnly=True, help="PDF id of first parton"),
NTupleVariable("pdf_id2", lambda ev: ev.pdf_id2, int,mcOnly=True, help="PDF id of second parton"),
NTupleVariable("pdf_scale", lambda ev: ev.pdf_scale, float,mcOnly=True, help="PDF scale"),
]
TrigAna.unrollbits=True
from PhysicsTools.Heppy.analyzers.core.JSONAnalyzer import JSONAnalyzer
jsonAna = cfg.Analyzer(JSONAnalyzer,
passAll=True
)
silverJsonAna = cfg.Analyzer(JSONAnalyzer,
passAll=True,
json="silver.txt",
suffix="_silver"
)
sequence = [
jsonAna,LHEAna,LHEWeightAna,FlagsAna,
#hbheAna,
GenAna,VHGenAna,PUAna,TrigAna,
VertexAna,LepAna,PhoAna,TauAna,JetAna,
ttHLeptonMVA,METAna, METPuppiAna,
PdfAna,
VHbb,TTHtoTauTau,TTHtoTauTauGen,TriggerObjectsAna,L1TriggerAna,trigemu,treeProducer
]
from PhysicsTools.Heppy.utils.miniAodFiles import miniAodFiles
sample = cfg.MCComponent(
files = [
#"root://xrootd.ba.infn.it//store/mc/RunIIFall15MiniAODv1/TT_TuneCUETP8M1_13TeV-powheg-scaledown-pythia8/MINIAODSIM/PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/30000/045996FE-A19D-E511-B76D-D4AE526A0B47.root" ##ttbar
#"root://xrootd.ba.infn.it//store/mc/RunIISpring16MiniAODv1/TTJets_DiLept_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/MINIAODSIM/PUSpring16_80X_mcRun2_asymptotic_2016_v3-v1/00000/0899BDA9-AE01-E611-A239-008CFA05EA2C.root"
# "root://eoscms.cern.ch//eos/cms/store/relval/CMSSW_8_1_0_pre9/RelValTTbar_13/MINIAODSIM/PU25ns_81X_mcRun2_asymptotic_v2_hip0p8_mtoff-v1/10000/2A7336F1-D851-E611-AA11-003048D15D48.root"
#/store/mc/RunIISpring16MiniAODv2/GluGluToBulkGravitonToHHTo4B_M-550_narrow_13TeV-madgraph/MINIAODSIM/PUSpring16RAWAODSIM_reHLT_80X_mcRun2_asymptotic_v14-v2/90000/4E40D2E2-9E3A-E611-8C5B-00259081FB18.root"
#root://stormgf1.pi.infn.it:1094//store/mc/RunIISpring16MiniAODv2/TT_TuneCUETP8M1_13TeV-powheg-pythia8/MINIAODSIM/PUSpring16_80X_mcRun2_asymptotic_2016_miniAODv2_v0_ext4-v1/00000/E8090432-8628-E611-8713-001EC9ADFDC9.root",
#"root://t3dcachedb.psi.ch:1094///pnfs/psi.ch/cms/trivcat/store/mc/RunIISpring16MiniAODv2/WW_TuneCUETP8M1_13TeV-pythia8/MINIAODSIM/PUSpring16_80X_mcRun2_asymptotic_2016_miniAODv2_v0-v1/50000/0AF21AF1-121B-E611-B652-549F35AE4F88.root"
# "root://stormgf1.pi.infn.it:1094//store/mc/RunIISpring16MiniAODv2/TT_TuneCUETP8M1_13TeV-powheg-pythia8/MINIAODSIM/PUSpring16_80X_mcRun2_asymptotic_2016_miniAODv2_v0_ext4-v1/00000/E8090432-8628-E611-8713-001EC9ADFDC9.root",
# "root://cmsxrootd.fnal.gov///store/mc/RunIISummer16MiniAODv2/GluGluHToBB_M125_13TeV_powheg_pythia8/MINIAODSIM/PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/120000/184FBB8C-45C8-E611-B5C5-001EC9ADC726.root",
# "root://cmsxrootd.fnal.gov///store/mc/RunIISummer16MiniAODv2/DYJetsToLL_M-50_HT-100to200_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/MINIAODSIM/PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/120000/601C84AE-60D0-E611-8A73-0025905A48D6.root",
# "root://cmsxrootd.fnal.gov///store/mc/RunIISummer16MiniAODv2/DYJetsToLL_Pt-100To250_TuneCUETP8M1_13TeV-amcatnloFXFX-pythia8/MINIAODSIM/PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6_ext1-v1/120000/2029BD2C-7DCB-E611-8E08-0025904A87E2.root",
# "root://cmsxrootd.fnal.gov///store/mc/RunIISummer16MiniAODv2/GluGluHToBB_M125_13TeV_amcatnloFXFX_pythia8/MINIAODSIM/PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/120000/06ADFE29-08CA-E611-943C-0025905B860C.root",
# "root://cmsxrootd.fnal.gov///store/mc/RunIISummer16MiniAODv2/GluGluHToBB_M125_13TeV_powheg_herwigpp/MINIAODSIM/PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/120000/BA7BFE5F-93CC-E611-94E7-0CC47A57D164.root",
# "root://cmsxrootd.fnal.gov///store/mc/RunIISummer16MiniAODv2/ST_t-channel_top_4f_inclusiveDecays_13TeV-powhegV2-madspin-pythia8_TuneCUETP8M1/MINIAODSIM/PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/60000/02D08DD9-79B9-E611-B828-00266CFFBE14.root",
# "root://cmsxrootd.fnal.gov///store/mc/RunIISummer16MiniAODv2/TTJets_DiLept_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/MINIAODSIM/PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/120000/3E7EED14-C5B6-E611-BC04-484D7E8DF0C6.root",
# "root://cmsxrootd.fnal.gov///store/mc/RunIISummer16MiniAODv2/TTTo2L2Nu_TuneCUETP8M2_ttHtranche3_13TeV-powheg-pythia8/MINIAODSIM/PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/120000/04643CD6-CFC2-E611-9FD8-0CC47AD98F6E.root",
# "root://cmsxrootd.fnal.gov///store/mc/RunIISummer16MiniAODv2/TT_TuneEE5C_13TeV-powheg-herwigpp/MINIAODSIM/PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/60000/02656FC1-B0B5-E611-B2F9-44A842CFCA27.root",
"root://cmsxrootd.fnal.gov///store/mc/RunIISummer16MiniAODv2/WH_HToBB_WToLNu_M125_13TeV_amcatnloFXFX_madspin_pythia8/MINIAODSIM/PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/120000/7C89D7C0-B7D0-E611-AB35-0CC47A4C8EE8.root",
# "root://cmsxrootd.fnal.gov///store/mc/RunIISummer16MiniAODv2/ggZH_HToBB_ZToLL_M125_13TeV_powheg_pythia8_CUETP8M1Up/MINIAODSIM/PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/80000/D466A5FE-11CC-E611-AA18-842B2B17E3BA.root",
# "root://cmsxrootd.fnal.gov///store/mc/RunIISummer16MiniAODv2/ZH_HToBB_ZToLL_M125_13TeV_powheg_pythia8/MINIAODSIM/PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6_ext1-v1/60000/28CA6CC9-FEC2-E611-BF37-008CFA5D2758.root",
],
# files = ["cmsswPreProcessing.root"],
name="ZHLL125", isEmbed=False,
puFileMC="puMC.root",
puFileData="puData.root",
puFileDataPlus="puDataPlus.root",
puFileDataMinus="puDataMinus.root",
splitFactor = 5
)
sample.isMC=True
# the following is declared in case this cfg is used in input to the heppy.py script
selectedComponents = [sample]
from PhysicsTools.HeppyCore.framework.eventsfwlite import Events
config = cfg.Config( components = selectedComponents,
sequence = sequence,
services = [output_service],
events_class = Events)
class TestFilter(logging.Filter):
def filter(self, record):
print record
# and the following runs the process directly
if __name__ == '__main__':
from PhysicsTools.HeppyCore.framework.looper import Looper
looper = Looper( 'Loop', config, nPrint = 0, nEvents = 10)
import time
import cProfile
p = cProfile.Profile(time.clock)
p.runcall(looper.loop)
p.print_stats()
looper.write()