def __init__(self, fname, **kwargs):
kwargs['channel'] = 'etau'
super(ModuleETau,self).__init__(fname,**kwargs)
self.out = TreeProducerETau(fname,self)
# TRIGGERS
jsonfile = os.path.join(datadir,"trigger/tau_triggers_%d.json"%(self.year))
self.trigger = TrigObjMatcher(jsonfile,trigger='SingleElectron',isdata=self.isdata)
self.eleCutPt = self.trigger.ptmins[0]
self.tauCutPt = 20
self.eleCutEta = 2.3
self.tauCutEta = 2.3
# CORRECTIONS
if self.ismc:
self.eleSFs = ElectronSFs(year=self.year) # electron id/iso/trigger SFs
self.tesTool = TauESTool(tauSFVersion[self.year]) # real tau energy scale corrections
self.fesTool = TauFESTool(tauSFVersion[self.year]) # e -> tau fake energy scale
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('electron', "electron" )
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
def __init__(self, fname, **kwargs):
kwargs['channel'] = 'mutau'
super(ModuleTauTau, self).__init__(fname, **kwargs)
self.out = TreeProducerTauTau(fname, self)
# TRIGGERS
jsonfile = os.path.join(datadir,
"trigger/tau_triggers_%d.json" % (self.year))
self.trigger = TrigObjMatcher(jsonfile,
trigger='ditau',
isdata=self.isdata)
self.tauCutPt = 40
self.tauCutEta = 2.1
# CORRECTIONS
if self.ismc:
self.trigTool = TauTriggerSFs('tautau', 'Medium', year=self.year)
self.trigTool_tight = TauTriggerSFs('tautau',
'Tight',
year=self.year)
self.tesTool = TauESTool(
tauSFVersion[self.year]) # real tau energy scale
self.fesTool = TauFESTool(
tauSFVersion[self.year]) # e -> tau fake energy scale
self.tauSFs = TauIDSFTool(tauSFVersion[self.year],
'DeepTau2017v2p1VSjet',
'Medium',
dm=True)
self.tauSFs_tight = TauIDSFTool(tauSFVersion[self.year],
'DeepTau2017v2p1VSjet',
'Tight',
dm=True)
self.etfSFs = TauIDSFTool(tauSFVersion[self.year],
'DeepTau2017v2p1VSe', 'VVLoose')
self.mtfSFs = TauIDSFTool(tauSFVersion[self.year],
'DeepTau2017v2p1VSmu', 'Loose')
# CUTFLOW
self.out.cutflow.addcut('none', "no cut")
self.out.cutflow.addcut('trig', "trigger")
self.out.cutflow.addcut('tau', "tau")
self.out.cutflow.addcut('pair', "ditau 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