def __init__(self, fname, **kwargs):
kwargs['channel'] = 'mumu'
super(ModuleMuMu, self).__init__(fname, **kwargs)
self.out = TreeProducerMuMu(fname, self)
self.zwindow = kwargs.get('ZWindow', True)
# TRIGGERS
if self.year == 2016:
self.trigger = lambda e: e.HLT_IsoMu22 or e.HLT_IsoMu22_eta2p1 or e.HLT_IsoTkMu22 or e.HLT_IsoTkMu22_eta2p1 #or e.HLT_IsoMu19_eta2p1_LooseIsoPFTau20_SingleL1
self.muon1CutPt = lambda e: 23
self.muonCutEta = lambda e: 2.4 if e.HLT_IsoMu22 or e.HLT_IsoTkMu22 else 2.1
elif self.year == 2017:
self.trigger = lambda e: e.HLT_IsoMu24 or e.HLT_IsoMu27 #or e.HLT_IsoMu20_eta2p1_LooseChargedIsoPFTau27_eta2p1_CrossL1
self.muon1CutPt = lambda e: 25 if e.HLT_IsoMu24 else 28
self.muonCutEta = lambda e: 2.4
else:
self.trigger = lambda e: e.HLT_IsoMu24 or e.HLT_IsoMu27 #or e.HLT_IsoMu20_eta2p1_LooseChargedIsoPFTau27_eta2p1_CrossL1
self.muon1CutPt = lambda e: 25
self.muonCutEta = lambda e: 2.4
self.muon2CutPt = 15
self.tauCutPt = 20
self.tauCutEta = 2.3
# CORRECTIONS
if self.ismc:
self.muSFs = MuonSFs(era=self.era)
# CUTFLOW
self.out.cutflow.addcut('none', "no cut")
self.out.cutflow.addcut('trig', "trigger")
self.out.cutflow.addcut('muon', "muon")
self.out.cutflow.addcut('pair', "pair")
self.out.cutflow.addcut('weight', "no cut, weighted", 15)
self.out.cutflow.addcut('weight_no0PU', "no cut, weighted, PU>0",
16) # use for normalization
def muonSFs():
LOG.header("muonSFs")
# MUON SFs
start1 = time.time()
print ">>> initializing MuonSF object..."
muSFs = MuonSFs()
print ">>> initialized in %.1f seconds" % (time.time() - start1)
# GET SFs
printtable('trigger', muSFs.getTriggerSF)
printtable('idiso', muSFs.getIdIsoSF)
print ">>> "
# MUON 2018 SFs
start1 = time.time()
print ">>> initializing MuonSF(2018) object..."
muSFs = MuonSFs(year=2018)
print ">>> initialized in %.1f seconds" % (time.time() - start1)
# GET SFs
printtable('trigger', muSFs.getTriggerSF)
printtable('idiso', muSFs.getIdIsoSF)
print ">>> "
def __init__(self, fname, **kwargs):
kwargs['channel'] = 'mutau'
super(ModuleMuTau, self).__init__(fname, **kwargs)
self.out = TreeProducerMuTau(fname, self)
# TRIGGERS
if self.year == 2016:
self.trigger = lambda e: e.HLT_IsoMu22 or e.HLT_IsoMu22_eta2p1 or e.HLT_IsoTkMu22 or e.HLT_IsoTkMu22_eta2p1 #or e.HLT_IsoMu19_eta2p1_LooseIsoPFTau20_SingleL1
self.muonCutPt = lambda e: 23
self.muonCutEta = lambda e: 2.4 if e.HLT_IsoMu22 or e.HLT_IsoTkMu22 else 2.1
elif self.year == 2017:
self.trigger = lambda e: e.HLT_IsoMu24 or e.HLT_IsoMu27 #or e.HLT_IsoMu20_eta2p1_LooseChargedIsoPFTau27_eta2p1_CrossL1
self.muonCutPt = lambda e: 25 if e.HLT_IsoMu24 else 28
self.muonCutEta = lambda e: 2.4
else:
self.trigger = lambda e: e.HLT_IsoMu24 or e.HLT_IsoMu27 #or e.HLT_IsoMu20_eta2p1_LooseChargedIsoPFTau27_eta2p1_CrossL1
self.muonCutPt = lambda e: 25
self.muonCutEta = lambda e: 2.4
self.tauCutPt = 20
self.tauCutEta = 2.3
# CORRECTIONS
if self.ismc:
self.muSFs = MuonSFs(
era=self.era, verb=self.verbosity) # muon id/iso/trigger SFs
self.tesTool = TauESTool(
tauSFVersion[self.year]) # real tau energy scale corrections
self.fesTool = TauFESTool(
tauSFVersion[self.year]) # for mu -> tau fake negligible
self.tauSFs = TauIDSFTool(tauSFVersion[self.year],
'DeepTau2017v2p1VSjet', 'Tight')
self.etfSFs = TauIDSFTool(tauSFVersion[self.year],
'DeepTau2017v2p1VSe', 'VLoose')
self.mtfSFs = TauIDSFTool(tauSFVersion[self.year],
'DeepTau2017v2p1VSmu', 'Tight')
# CUTFLOW
self.out.cutflow.addcut('none', "no cut")
self.out.cutflow.addcut('trig', "trigger")
self.out.cutflow.addcut('muon', "muon")
self.out.cutflow.addcut('tau', "tau")
self.out.cutflow.addcut('pair', "pair")
self.out.cutflow.addcut('weight', "no cut, weighted", 15)
self.out.cutflow.addcut('weight_no0PU', "no cut, weighted, PU>0",
16) # use for normalization