def declareHandles(self):
super(EmbedWeighter,self).declareHandles()
#import pdb ; pdb.set_trace()
if self.cfg_comp.isEmbed:
isRHEmbedded = self.cfg_ana.isRecHit
if 'PFembedded' in self.cfg_comp.name and isRHEmbedded :
'WARNING: in the cfg you set RecHit, but this appears to be PF embedded'
if 'RHembedded' in self.cfg_comp.name and not isRHEmbedded :
'WARNING: in the cfg you set PF, but this appears to be RecHit embedded'
if cmsswIs52X():
self.embhandles['minVisPtFilter'] = AutoHandle(
('generator', 'minVisPtFilter'),
'GenFilterInfo'
)
self.embhandles['genpart'] = AutoHandle(
'genParticles',
'std::vector<reco::GenParticle>'
)
if isRHEmbedded:
self.embhandles['TauSpinnerReco'] = AutoHandle(
('TauSpinnerReco', 'TauSpinnerWT'),
'double'
)
self.embhandles['ZmumuEvtSelEffCorrWeightProducer'] = AutoHandle(
('ZmumuEvtSelEffCorrWeightProducer', 'weight'),
'double'
)
self.embhandles['muonRadiationCorrWeightProducer'] = AutoHandle(
('muonRadiationCorrWeightProducer', 'weight'),
'double'
)
self.embhandles['genTau2PtVsGenTau1Pt'] = AutoHandle(
('embeddingKineReweightRECembedding', 'genTau2PtVsGenTau1Pt'),
'double'
)
self.embhandles['genTau2EtaVsGenTau1Eta'] = AutoHandle(
('embeddingKineReweightRECembedding', 'genTau2EtaVsGenTau1Eta'),
'double'
)
self.embhandles['genDiTauMassVsGenDiTauPt'] = AutoHandle(
('embeddingKineReweightRECembedding', 'genDiTauMassVsGenDiTauPt'),
'double'
)
else:
self.embhandles['minVisPtFilter'] = AutoHandle(
('generator', 'weight'),
'double'
)
def declareHandles(self):
super(EmbedWeighter, self).declareHandles()
#import pdb ; pdb.set_trace()
if self.cfg_comp.isEmbed:
isRHEmbedded = self.cfg_ana.isRecHit
if 'PFembedded' in self.cfg_comp.name and isRHEmbedded:
'WARNING: in the cfg you set RecHit, but this appears to be PF embedded'
if 'RHembedded' in self.cfg_comp.name and not isRHEmbedded:
'WARNING: in the cfg you set PF, but this appears to be RecHit embedded'
if cmsswIs52X():
self.embhandles['minVisPtFilter'] = AutoHandle(
('generator', 'minVisPtFilter'), 'GenFilterInfo')
self.embhandles['genpart'] = AutoHandle(
'genParticles', 'std::vector<reco::GenParticle>')
if isRHEmbedded:
self.embhandles['TauSpinnerReco'] = AutoHandle(
('TauSpinnerReco', 'TauSpinnerWT'), 'double')
self.embhandles[
'ZmumuEvtSelEffCorrWeightProducer'] = AutoHandle(
('ZmumuEvtSelEffCorrWeightProducer', 'weight'),
'double')
self.embhandles[
'muonRadiationCorrWeightProducer'] = AutoHandle(
('muonRadiationCorrWeightProducer', 'weight'),
'double')
self.embhandles['genTau2PtVsGenTau1Pt'] = AutoHandle(
('embeddingKineReweightRECembedding',
'genTau2PtVsGenTau1Pt'), 'double')
self.embhandles['genTau2EtaVsGenTau1Eta'] = AutoHandle(
('embeddingKineReweightRECembedding',
'genTau2EtaVsGenTau1Eta'), 'double')
self.embhandles['genDiTauMassVsGenDiTauPt'] = AutoHandle(
('embeddingKineReweightRECembedding',
'genDiTauMassVsGenDiTauPt'), 'double')
else:
self.embhandles['minVisPtFilter'] = AutoHandle(
('generator', 'weight'), 'double')
# set up JSON ---------------------------------------------------------------
if runOnMC==False:
from CMGTools.H2TauTau.tools.setupJSON import setupJSON
json = setupJSON(process)
# load the channel paths -------------------------------------------
process.load('CMGTools.H2TauTau.h2TauTau_cff')
# setting up the recoil correction according to the input file ---------------
print sep_line
from CMGTools.H2TauTau.tools.setupRecoilCorrection import setupRecoilCorrection
# WARNING DISABLING RECOIL CORRECTIONS FOR 2012!!!
setupRecoilCorrection( process, runOnMC, True, cmsswIs52X(), 'WJetsToLNu')
# OUTPUT definition ----------------------------------------------------------
process.outpath = cms.EndPath()
# generator ----------------------------------------------
if not runOnMC:
process.tauMuPath.remove( process.genSequence )
process.tauElePath.remove( process.genSequence )
process.diTauPath.remove( process.genSequence )
# muon removal sequence
# ----
# need to clean that up a bit...
process.EcalDeadCellTriggerPrimitiveFilterPath,
process.greedyMuonPFCandidateFilterPath,
############# <-
process.hcalLaserEventFilterPath,
process.inconsistentMuonPFCandidateFilterPath,
process.trackingFailureFilterPath,
############# ->
process.CSCTightHaloFilterPath,
############# <-
process.HBHENoiseFilterPath,
process.primaryVertexFilterPath,
process.noscrapingFilterPath
)
from CMGTools.Common.Tools.cmsswRelease import cmsswIs52X
if cmsswIs52X():
process.fullPath.append(process.hcalLaserFilterFromAODPath)
else:
print 'NO hcalLaserFilterFromAOD available for releases < 5.2'
#this is needed only for Madgraph MC:
if runOnMC:
process.fullPath.append(process.totalKinematicsFilterPath)
else:
del process.totalKinematicsFilterPath
### OUTPUT DEFINITION #############################################
# PFBRECO+PAT ---
# Add PFBRECO output to the created file
def process(self, iEvent, event):
self.readCollections( iEvent )
self.weight = 1
isRHEmbedded = self.cfg_ana.isRecHit
if 'PFembedded' in self.cfg_comp.name and isRHEmbedded :
'WARNING: in the cfg you set RecHit, but this appears to be PF embedded'
if 'RHembedded' in self.cfg_comp.name and not isRHEmbedded :
'WARNING: in the cfg you set PF, but this appears to be RecHit embedded'
event.genfilter = 1.
event.tauspin = 1.
event.zmumusel = 1.
event.muradcorr = 1.
event.genTau2PtVsGenTau1Pt = 1.
event.genTau2EtaVsGenTau1Eta = 1.
event.genDiTauMassVsGenDiTauPt = 1.
if self.cfg_comp.isEmbed or self.cfg_comp.name == 'TTJets_emb' :
try:
genfilter = self.embhandles['minVisPtFilter'].product()
if isRHEmbedded:
tauspin = self.embhandles['TauSpinnerReco'].product()
zmumusel = self.embhandles['ZmumuEvtSelEffCorrWeightProducer'].product()
muradcorr = self.embhandles['muonRadiationCorrWeightProducer'].product()
genTau2PtVsGenTau1Pt = self.embhandles['genTau2PtVsGenTau1Pt'].product()
genTau2EtaVsGenTau1Eta = self.embhandles['genTau2EtaVsGenTau1Eta'].product()
genDiTauMassVsGenDiTauPt = self.embhandles['genDiTauMassVsGenDiTauPt'].product()
except RuntimeError:
print 'WARNING EmbedWeighter, cannot find the weight in the event'
return False
if cmsswIs52X():
self.weight = genfilter.filterEfficiency()
if isRHEmbedded:
self.weight *= tauspin[0]
self.weight *= zmumusel[0]
self.weight *= muradcorr[0]
self.weight *= genTau2PtVsGenTau1Pt[0]
self.weight *= genTau2EtaVsGenTau1Eta[0]
self.weight *= genDiTauMassVsGenDiTauPt[0]
event.genfilter = genfilter.filterEfficiency()
if isRHEmbedded:
event.tauspin = tauspin[0]
event.zmumusel = zmumusel[0]
event.muradcorr = muradcorr[0]
event.genTau2PtVsGenTau1Pt = genTau2PtVsGenTau1Pt[0]
event.genTau2EtaVsGenTau1Eta = genTau2EtaVsGenTau1Eta[0]
event.genDiTauMassVsGenDiTauPt = genDiTauMassVsGenDiTauPt[0]
self.counters.counter('EmbedWeighter').inc('all events')
event.genParticles = map( GenParticle, self.embhandles['genpart'].product() )
genTaus = [p for p in event.genParticles if abs(p.pdgId()) == 15]
if len(genTaus) != 2:
print 'WARNING EmbedWeighter, not 2 gen taus in the event'
genZMass = (genTaus[0].p4() + genTaus[1].p4()).mass()
if genZMass < 50.:
return False
self.counters.counter('EmbedWeighter').inc('gen Z mass > 50')
else:
self.weight = genfilter[0]
if self.cfg_ana.verbose:
print self.name, 'efficiency =', self.weight
event.eventWeight *= self.weight
event.embedWeight = self.weight
self.averages['weight'].add( self.weight )
return True
json = setupJSON(process)
# load the channel paths -------------------------------------------
process.load('CMGTools.H2TauTau.h2TauTau_cff')
# REMOVING SKIMMING CUTS
process.diTauCuts.baseline.mass = ''
process.cmgDiTauPreSel.cut = ''
process.diTauFullSelCount.minNumber = 0
# setting up the recoil correction according to the input file ---------------
print sep_line
from CMGTools.H2TauTau.tools.setupRecoilCorrection import setupRecoilCorrection
# WARNING DISABLING RECOIL CORRECTIONS FOR 2012!!!
setupRecoilCorrection(process, runOnMC, True, cmsswIs52X())
# OUTPUT definition ----------------------------------------------------------
process.outpath = cms.EndPath()
# generator ----------------------------------------------
if not runOnMC:
process.tauMuPath.remove(process.genSequence)
process.tauElePath.remove(process.genSequence)
process.diTauPath.remove(process.genSequence)
#Jose: process.schedule doesn't have a += operator?
if channel == 'all':
process.schedule = cms.Schedule(
process.tauMuPath,
process.tauElePath,
def process(self, iEvent, event):
self.readCollections(iEvent)
self.weight = 1
isRHEmbedded = False
event.genfilter = 1.
event.tauspin = 1.
event.zmumusel = 1.
event.muradcorr = 1.
event.genTau2PtVsGenTau1Pt = 1.
event.genTau2EtaVsGenTau1Eta = 1.
event.genDiTauMassVsGenDiTauPt = 1.
if self.cfg_comp.isEmbed:
try:
genfilter = self.embhandles['minVisPtFilter'].product()
if isRHEmbedded:
tauspin = self.embhandles['TauSpinnerReco'].product()
zmumusel = self.embhandles[
'ZmumuEvtSelEffCorrWeightProducer'].product()
muradcorr = self.embhandles[
'muonRadiationCorrWeightProducer'].product()
genTau2PtVsGenTau1Pt = self.embhandles[
'genTau2PtVsGenTau1Pt'].product()
genTau2EtaVsGenTau1Eta = self.embhandles[
'genTau2EtaVsGenTau1Eta'].product()
genDiTauMassVsGenDiTauPt = self.embhandles[
'genDiTauMassVsGenDiTauPt'].product()
except RuntimeError:
print 'WARNING EmbedWeighter, cannot find the weight in the event'
return False
if cmsswIs52X():
self.weight = genfilter.filterEfficiency()
if isRHEmbedded:
self.weight *= tauspin[0]
self.weight *= zmumusel[0]
self.weight *= muradcorr[0]
self.weight *= genTau2PtVsGenTau1Pt[0]
self.weight *= genTau2EtaVsGenTau1Eta[0]
self.weight *= genDiTauMassVsGenDiTauPt[0]
event.genfilter = genfilter.filterEfficiency()
if isRHEmbedded:
event.tauspin = tauspin[0]
event.zmumusel = zmumusel[0]
event.muradcorr = muradcorr[0]
event.genTau2PtVsGenTau1Pt = genTau2PtVsGenTau1Pt[0]
event.genTau2EtaVsGenTau1Eta = genTau2EtaVsGenTau1Eta[0]
event.genDiTauMassVsGenDiTauPt = genDiTauMassVsGenDiTauPt[
0]
self.counters.counter('EmbedWeighter').inc('all events')
event.genParticles = map(GenParticle,
self.embhandles['genpart'].product())
genTaus = [
p for p in event.genParticles if abs(p.pdgId()) == 15
]
if len(genTaus) != 2:
print 'WARNING EmbedWeighter, not 2 gen taus in the event'
genZMass = (genTaus[0].p4() + genTaus[1].p4()).mass()
# import pdb; pdb.set_trace()
if genZMass < 50.:
return False
self.counters.counter('EmbedWeighter').inc('gen Z mass > 50')
else:
self.weight = genfilter[0]
if self.cfg_ana.verbose:
print self.name, 'efficiency =', self.weight
event.eventWeight *= self.weight
event.embedWeight = self.weight
self.averages['weight'].add(self.weight)
return True
import copy
from CMGTools.H2TauTau.proto.plotter.categories_common import *
from CMGTools.H2TauTau.proto.plotter.cut import *
from CMGTools.Common.Tools.cmsswRelease import cmsswIs44X, cmsswIs52X
pt1 = 20
pt2 = 17 # 2011
if cmsswIs52X():
pt2 = 20 # 2012, check that
#inc_sig_tau = Cut('l1_looseMvaIso>0.5 && (l1_EOverp>0.2 || l1_decayMode!=0) && l1_againstMuonTight>0.5 && l1_againstElectronLoose>0.5 && l1_dxy<0.045 && l1_dz<0.2 && l1_pt>{pt1}'.format(pt1=pt1))
#inc_sig_tau = Cut('l1_looseMvaIso>0.5 && l1_againstMuonTight>0.5 && l1_againstElectronLoose>0.5 && l1_dxy<0.045 && l1_dz<0.2 && l1_pt>{pt1}'.format(pt1=pt1))
# NEW one - to be implemented as soon as trees are there
inc_sig_tau = Cut(
'leptonAccept && thirdLeptonVeto && l1_threeHitIso<1.5 && l1_againstMuonTight>0.5 && l1_againstElectronLoose>0.5 && l1_dxy<0.045 && l1_dz<0.2 && l1_pt>{pt1}'
.format(pt1=pt1))
inc_sig_mu = Cut(
'l2_relIso05<0.1 && l2_tightId>0.5 && l2_dxy<0.045 && l2_dz<0.2 && l2_pt>{pt2}'
.format(pt2=pt2))
inc_sig = inc_sig_mu & inc_sig_tau
inc_sig_mu_elelike = Cut(
'l2_relIso05<0.1 && l2_tightId>0.5 && l2_dxy<0.045 && l2_dz<0.2 && l2_pt>{pt2}'
.format(pt2=24.))
inc_sig_elelike = inc_sig_mu_elelike & inc_sig_tau
# set up JSON ---------------------------------------------------------------
if runOnMC == False:
from CMGTools.Common.Tools.applyJSON_cff import applyJSON
json = "/afs/cern.ch/cms/CAF/CMSCOMM/COMM_DQM/certification/Collisions12/8TeV/Prompt/Cert_190456-208686_8TeV_PromptReco_Collisions12_JSON.txt"
#json="/afs/cern.ch/cms/CAF/CMSCOMM/COMM_DQM/certification/Collisions12/8TeV/Reprocessing/Cert_190456-196531_8TeV_13Jul2012ReReco_Collisions12_JSON_v2.txt"
applyJSON(process, json)
# load the channel paths -------------------------------------------
process.load('CMGTools.H2TauTau.h2TauTau_cff')
# setting up the recoil correction according to the input file ---------------
print sep_line
from CMGTools.H2TauTau.tools.setupRecoilCorrection import setupRecoilCorrection, lookup, rootfile_dir
# WARNING DISABLING RECOIL CORRECTIONS FOR 2012!!!
setupRecoilCorrection(process, runOnMC, True, cmsswIs52X(), None, channel)
# OUTPUT definition ----------------------------------------------------------
process.outpath = cms.EndPath()
# generator ----------------------------------------------
if not runOnMC:
process.tauMuPath.remove(process.genSequence)
process.tauElePath.remove(process.genSequence)
process.diTauPath.remove(process.genSequence)
if channel == 'all':
process.schedule = cms.Schedule(
process.tauMuPath,
process.tauElePath,
# process.muElePath,
# load the channel paths -------------------------------------------
process.load('CMGTools.H2TauTau.h2TauTau_cff')
# REMOVING SKIMMING CUTS
process.diTauCuts.baseline.mass=''
process.cmgDiTauPreSel.cut=''
process.diTauFullSelCount.minNumber=0
# setting up the recoil correction according to the input file ---------------
print sep_line
from CMGTools.H2TauTau.tools.setupRecoilCorrection import setupRecoilCorrection
# WARNING DISABLING RECOIL CORRECTIONS FOR 2012!!!
setupRecoilCorrection( process, runOnMC, True, cmsswIs52X())
# OUTPUT definition ----------------------------------------------------------
process.outpath = cms.EndPath()
# generator ----------------------------------------------
if not runOnMC:
process.tauMuPath.remove( process.genSequence )
process.tauElePath.remove( process.genSequence )
process.diTauPath.remove( process.genSequence )
#Jose: process.schedule doesn't have a += operator?
if channel=='all':
process.schedule = cms.Schedule(
process.tauMuPath,
from CMGTools.Common.Tools.applyJSON_cff import applyJSON
json="/afs/cern.ch/cms/CAF/CMSCOMM/COMM_DQM/certification/Collisions12/8TeV/Prompt/Cert_190456-208686_8TeV_PromptReco_Collisions12_JSON.txt"
#json="/afs/cern.ch/cms/CAF/CMSCOMM/COMM_DQM/certification/Collisions12/8TeV/Reprocessing/Cert_190456-196531_8TeV_13Jul2012ReReco_Collisions12_JSON_v2.txt"
applyJSON(process, json )
# load the channel paths -------------------------------------------
process.load('CMGTools.H2TauTau.h2TauTau_cff')
# setting up the recoil correction according to the input file ---------------
print sep_line
from CMGTools.H2TauTau.tools.setupRecoilCorrection import setupRecoilCorrection,lookup,rootfile_dir
# WARNING DISABLING RECOIL CORRECTIONS FOR 2012!!!
setupRecoilCorrection( process, runOnMC, True, cmsswIs52X(), None, channel)
# OUTPUT definition ----------------------------------------------------------
process.outpath = cms.EndPath()
# generator ----------------------------------------------
if not runOnMC:
process.tauMuPath.remove( process.genSequence )
process.tauElePath.remove( process.genSequence )
process.diTauPath.remove( process.genSequence )
if channel=='all':
process.schedule = cms.Schedule(
process.tauMuPath,
process.tauElePath,
# Sequence & path definition -------------------------------------------------
# set up JSON ---------------------------------------------------------------
if runOnMC == False:
from CMGTools.H2TauTau.tools.setupJSON import setupJSON
json = setupJSON(process)
# load the channel paths -------------------------------------------
process.load('CMGTools.H2TauTau.h2TauTau_cff')
# setting up the recoil correction according to the input file ---------------
print sep_line
from CMGTools.H2TauTau.tools.setupRecoilCorrection import setupRecoilCorrection
# WARNING DISABLING RECOIL CORRECTIONS FOR 2012!!!
setupRecoilCorrection(process, runOnMC, True, cmsswIs52X(), 'WJetsToLNu')
# OUTPUT definition ----------------------------------------------------------
process.outpath = cms.EndPath()
# generator ----------------------------------------------
if not runOnMC:
process.tauMuPath.remove(process.genSequence)
process.tauElePath.remove(process.genSequence)
process.diTauPath.remove(process.genSequence)
# muon removal sequence
# ----
# need to clean that up a bit...
# mu faking tau small, but we could think of removing tau candidates corresponding to the removed mu
