def endJob(self):
#Normalise histograms at the end to xsec/sumw
if self.doNorm:
for obj in self.objs:
if isinstance(obj, ROOT.TH1) and obj!=self.h_count:
scale = 1./self.genEventSumw
if self.xsec > 0:
scale *= self.xsec
obj.Scale(scale)
#store x-sec and sum-of-gen-weights in count histogram
self.h_count.SetBinContent(0,self.genEventSumw) #underflow
self.h_count.SetBinContent(self.h_count.GetNbinsX()+1,self.xsec) #overflow
# event count -> efficiency
nbins = self.h_count.GetNbinsX()
n_init = self.h_count.GetBinContent(1)
e2_init = pow(self.h_count.GetBinError(1),2)
for ibin in range(1,nbins+1):
n_ibin = self.h_count.GetBinContent(ibin)
self.h_eff.SetBinContent(ibin,n_ibin/n_init)
#binomial error
err = 0
if ibin!=1 and n_ibin!=0:
e2_ibin = pow(self.h_count.GetBinError(ibin),2)
err = math.sqrt(abs(((1.-2.*n_init/n_ibin)*e2_init+pow(n_init,2)*e2_ibin/pow(n_ibin,2))/pow(n_ibin,2)))
self.h_eff.SetBinError(ibin,err)
Module.endJob(self)
def endJob(self):
print "\nendJob()"
if self.h_Stat1:
print "nendJob():: printCutFlowTable::"
printCutFlowTable(self.h_Stat1)
Module.endJob(self)
def endJob(self):
Module.endJob(self)
print 'Events passing:', self.count
if nSelect == 2.5 or nSelect == 5:
self.diphoton_file.Write()
self.diphoton_file.Close()
def endJob(self):
"""Calculate the correlated and uncorrelated errors.
"""
if not self.writePredDist:
for cat in self.anacatvals :
for hist in [self.predJetP[cat], self.predJetMTTBAR[cat],self.predJetMTTBARMod[cat] ] :
hist.SetCalculatedErrors()
Module.endJob(self)
pass
def endJob(self):
Module.endJob(self)
pass
def endJob(self):
Module.endJob(self)
print 'Signal Efficiency:', str(
float(100) * float(self.passing_wp90) / float(self.total)) + r'%'
'''
def endJob(self):
"""end Job"""
Module.endJob(self)
def endJob(self):
"""end Job"""
#self.evelurun.close()
Module.endJob(self)
def endJob(self):
Module.endJob(self)
print "+ Module ended successfully," #, self.h_events.GetEntries(), "events analyzed"
pass
def endJob(self):
# print("nEvents: {0}\t nPositivEvents: {1}\t nNegativeEvents: {2}\t nZeroEvents: {3}".format(
# self.nEvents, self.nPositiveEvents, self.nNegativeEvents, self.nZeroEvents)
# )
Module.endJob(self)
def endJob(self):
Module.endJob(self)
print "Module ended successfully,", self.nEvent, "events analyzed"
pass
def endJob(self):
self.MakeRatio("gen_ele_efficiency", self.h_gen_ele_pt_match,
self.h_gen_ele_pt)
Module.endJob(self)
def endJob(self): Module.endJob(self) print "SkimmerDiMuon module ended successfully" pass
