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jstupak |
1.1 |
from ROOT import *
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gROOT.SetBatch(1)
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from LJMet.Com.Sample import samplesForPlotting as samples
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from tdrStyle import *
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setTDRStyle()
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gStyle.SetOptStat(False)
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DEBUG=False
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inputDir='/uscms_data/d1/jstupak/analysisOutputs/'
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inputDir+='2012_12_16/newEventSelTest'
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bJetRequirements=['0p','0','1','1p','2p']
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channels=['el','mu']
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doCutTable=True
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doFracFit=True
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outputName=inputDir+'/plots.root'
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#- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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elLumi=6732.0
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muLumi=12211.0
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treeName='ljmet'
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sharedSelectionCuts='jet_0_pt_WprimeCalc >= 100 && jet_1_pt_WprimeCalc >= 40'
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elSelectionCuts='elec_1_pt_WprimeCalc > 30 && abs(elec_1_eta_WprimeCalc) < 2.5 && elec_1_RelIso_WprimeCalc < 0.1 && corr_met_WprimeCalc > 20'
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muSelectionCuts='muon_1_pt_WprimeCalc > 26 && abs(muon_1_eta_WprimeCalc) < 2.1 && muon_1_RelIso_WprimeCalc < 0.12 && corr_met_WprimeCalc > 20'
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SFWj = 0.85
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SFWc = 0.92*1.66
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SFWb = 0.92*1.21
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lumiFracUnc = 0.022
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ttbarSigmaFracUnc = 0.15
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wJetsSigmaFracUnc = 0.20
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otherSigmaFracUnc = 0.20
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#---------------------------------------------------------------------------------------------------------------------------------------------
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output=TFile(outputName,"RECREATE")
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bkgdNorms={}
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jstupak |
1.2 |
QCDFrac={}
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QCDFracUnc={}
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fakeRate={}
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fitChi2={}
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fitNDF={}
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jstupak |
1.1 |
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class WPrimePlot:
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def __init__(self,name,distribution,nBins=100,xMin=0,xMax=100,xTitle='',yLog=True,nB="0",otherCuts='',channel='el'):
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self.name=name; self.distribution=distribution; self.nBins=nBins; self.xMin=xMin; self.xMax=xMax; self.xTitle=xTitle; self.yLog=yLog; self.nB=nB; self.otherCuts=otherCuts; self.channel=channel;
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if not bkgdNorms.has_key(self.nB): bkgdNorms[self.nB]={}
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if not QCDFrac.has_key(self.nB):
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QCDFrac[self.nB]={}
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QCDFracUnc[self.nB]={}
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jstupak |
1.2 |
fakeRate[self.nB]={}
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jstupak |
1.1 |
fitChi2[self.nB]={}
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fitNDF[self.nB]={}
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def Prepare(self):
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result={}
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cuts=sharedSelectionCuts
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if self.channel=='el': cuts+='&&'+elSelectionCuts
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elif self.channel=='mu': cuts+='&&'+muSelectionCuts
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if self.nB=="0":
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bTagCut='((jet_0_tag_WprimeCalc + jet_1_tag_WprimeCalc)==0)'
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elif self.nB=="0p":
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bTagCut='1'
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elif self.nB=="1":
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bTagCut='((jet_0_tag_WprimeCalc + jet_1_tag_WprimeCalc)==1)'
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elif self.nB=="1p":
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bTagCut='((jet_0_tag_WprimeCalc + jet_1_tag_WprimeCalc)>=1)'
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elif self.nB=="2":
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bTagCut='((jet_0_tag_WprimeCalc + jet_1_tag_WprimeCalc)==2)'
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elif self.nB=="2p":
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#bTagCut='((jet_0_tag_WprimeCalc + jet_1_tag_WprimeCalc)>=2)'
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bTagCut='((jet_0_tag_WprimeCalc==1 && (jet_1_tag_WprimeCalc + jet_2_tag_WprimeCalc + jet_3_tag_WprimeCalc + jet_4_tag_WprimeCalc + jet_5_tag_WprimeCalc + jet_6_tag_WprimeCalc + jet_7_tag_WprimeCalc + jet_8_tag_WprimeCalc + jet_9_tag_WprimeCalc) >= 1 ) || (jet_1_tag_WprimeCalc==1 && (jet_0_tag_WprimeCalc + jet_2_tag_WprimeCalc + jet_3_tag_WprimeCalc + jet_4_tag_WprimeCalc + jet_5_tag_WprimeCalc + jet_6_tag_WprimeCalc + jet_7_tag_WprimeCalc + jet_8_tag_WprimeCalc + jet_9_tag_WprimeCalc) >= 1))'
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jstupak |
1.2 |
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#make name unique
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jstupak |
1.1 |
self.name+='_nB'+self.nB+'_'+self.channel
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if (self.channel == 'el'): lumi=elLumi
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elif (self.channel == 'mu'): lumi=muLumi
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jstupak |
1.2 |
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#get histograms with proper normalization
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jstupak |
1.1 |
for sample in samples:
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jstupak |
1.2 |
#skip electron (muon) data for muon (electron) channel
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jstupak |
1.1 |
if (self.channel=='el' and 'SingleMu' in sample.name) or (self.channel=='mu' and 'SingleEl' in sample.name): continue
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sample.file=TFile(inputDir+'/'+sample.name+'.root')
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sample.tree=sample.file.Get(treeName)
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hName=self.name+'_'+sample.name
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sample.h=TH1F(hName,";"+self.xTitle,self.nBins,self.xMin,self.xMax)
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if sample.tree.GetLeaf('sampleWeight_WprimeCalc'): weight='sampleWeight_WprimeCalc'
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else: weight='1' #for backwards compatibility
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if sample.isMC:
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jstupak |
1.2 |
SF=1. #not currently being used
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jstupak |
1.1 |
weight+='*weight_PU_ABC_PileUpCalc'
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if (self.channel == 'el'): weight+='*weight_ElectronEff_WprimeCalc'
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elif (self.channel == 'mu'): weight+='*weight_MuonEff_WprimeCalc'
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if sample.name=='WJets':
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sample.tree.Draw(self.distribution+">>"+hName,weight+'*'+str(SFWj)+'*('+cuts+'&&'+bTagCut+'&& n_Bjets_WprimeCalc==0 && n_Cjets_WprimeCalc==0)','goff')
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sample.tree.Draw(self.distribution+">>+"+hName,weight+'*'+str(SFWc)+'*('+cuts+'&&'+bTagCut+'&& n_Bjets_WprimeCalc==0 && n_Cjets_WprimeCalc>0)','goff')
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sample.tree.Draw(self.distribution+">>+"+hName,weight+'*'+str(SFWb)+'*('+cuts+'&&'+bTagCut+'&& n_Bjets_WprimeCalc>0)','goff')
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bTagEff=sample.h.Integral(0,self.nBins+1)
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jstupak |
1.2 |
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#get shape from untagged sample
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jstupak |
1.1 |
sample.tree.Draw(self.distribution+">>"+hName,weight+'*'+str(SFWj)+'*('+cuts+'&& n_Bjets_WprimeCalc==0 && n_Cjets_WprimeCalc==0)','goff')
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result['W+light']=sample.h.Integral(0,self.nBins+1)
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sample.tree.Draw(self.distribution+">>+"+hName,weight+'*'+str(SFWc)+'*('+cuts+'&& n_Bjets_WprimeCalc==0 && n_Cjets_WprimeCalc>0)','goff')
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result['W+c']=sample.h.Integral(0,self.nBins+1)-result['W+light']
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sample.tree.Draw(self.distribution+">>+"+hName,weight+'*'+str(SFWb)+'*('+cuts+'&& n_Bjets_WprimeCalc>0)','goff')
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result['W+b']=sample.h.Integral(0,self.nBins+1)-result['W+light']-result['W+c']
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bTagEff/=sample.h.Integral(0,self.nBins+1)
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jstupak |
1.2 |
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sample.h.Scale(bTagEff) #get proper normalization
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jstupak |
1.1 |
result['W+b']*=bTagEff*SF*lumi*sample.crossSection/sample.nEvents
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result['W+c']*=bTagEff*SF*lumi*sample.crossSection/sample.nEvents
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result['W+b']*=bTagEff*SF*lumi*sample.crossSection/sample.nEvents
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else:
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nSelectedRaw=sample.tree.Draw(self.distribution+">>"+hName,weight+'*('+cuts+'&&'+bTagCut+')','goff')
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if sample.isMC and sample.h.Integral(0,self.nBins+1)!=0: sample.h.Scale(SF*lumi*sample.crossSection/sample.nEvents)
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jstupak |
1.2 |
if DEBUG: #for event comparison
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jstupak |
1.1 |
if 'TTbar_Powheg' in sample.name and self.channel=='el':
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sample.tree.SetScanField(0)
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jstupak |
1.2 |
print '\n',sample.name,' ',self.channel
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sample.tree.Scan('run_CommonCalc:lumi_CommonCalc:event_CommonCalc:corr_met_WprimeCalc:jet_0_pt_WprimeCalc:jet_1_pt_WprimeCalc:elec_1_pt_WprimeCalc:elec_1_eta_WprimeCalc:elec_1_RelIso_WprimeCalc:muon_1_pt_WprimeCalc:muon_1_eta_WprimeCalc:muon_1_RelIso_WprimeCalc','('+cuts+'&&'+bTagCut+')')
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jstupak |
1.1 |
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jstupak |
1.2 |
result[sample.name]=sample.h.Integral(0,self.nBins+1) #for cutflow table
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jstupak |
1.1 |
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jstupak |
1.2 |
#format histograms and draw plots
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jstupak |
1.1 |
output.cd()
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self.signals=[]
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self.backgroundStack=THStack()
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self.ewk=TH1F(self.name+'_ewk',';'+self.xTitle,self.nBins,self.xMin,self.xMax)
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self.top=TH1F(self.name+'_top',';'+self.xTitle,self.nBins,self.xMin,self.xMax)
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self.qcd=TH1F(self.name+'_qcd',';'+self.xTitle,self.nBins,self.xMin,self.xMax)
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self.data=TH1F(self.name+'_data',';'+self.xTitle,self.nBins,self.xMin,self.xMax)
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self.data.SetMarkerStyle(20)
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for sample in samples:
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if (self.channel=='el' and 'SingleMu' in sample.name) or (self.channel=='mu' and 'SingleEl' in sample.name): continue
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elif sample.doQCD:
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self.qcd.Add(sample.h)
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elif sample.isSignal:
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sample.h.Scale(20)
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sample.h.SetLineColor(1)
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sample.h.SetLineStyle(6+len(self.signals))
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self.signals+=[sample.h]
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elif sample.isBackground:
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if sample.name[0]=='T': self.top.Add(sample.h)
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else: self.ewk.Add(sample.h)
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elif sample.isData: self.data.Add(sample.h)
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sample.h.SetLineWidth(2)
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self.qcd.SetFillColor(ROOT.kBlue)
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self.qcd.SetLineColor(ROOT.kBlue+2)
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self.ewk.SetFillColor(ROOT.kGreen-3)
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self.ewk.SetLineColor(ROOT.kGreen-2)
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self.top.SetFillColor(ROOT.kRed-7)
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self.top.SetLineColor(ROOT.kRed-4)
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jstupak |
1.2 |
#get QCD normalization
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jstupak |
1.1 |
if doFracFit:
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| 176 |
jstupak |
1.2 |
#zero out any negetive bins if present
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jstupak |
1.1 |
for binNo in range(0,self.nBins+1):
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if self.qcd.GetBinContent(binNo)<0:
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self.qcd.SetBinContent(binNo,0)
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self.qcd.SetBinError(binNo,0)
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jstupak |
1.2 |
if not bkgdNorms[self.nB].has_key(self.channel): #if fit hasn't been performed yet for this channel/multiplicity
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bkgdNorms[self.nB][self.channel]=self.getNorms() #do the fit
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if bkgdNorms[self.nB][self.channel]: #if fit was succesful
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jstupak |
1.1 |
value=Double()
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error=Double()
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self.fitter.GetResult(0,value,error)
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QCDFrac[self.nB][self.channel]=value
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QCDFracUnc[self.nB][self.channel]=error
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fitChi2[self.nB][self.channel]=self.fitter.GetChisquare()
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fitNDF[self.nB][self.channel]=self.fitter.GetNDF()
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| 191 |
jstupak |
1.2 |
fakeRate[self.nB][self.channel]=bkgdNorms[self.nB][self.channel]['qcd']/self.qcd.Integral(0,self.nBins+1)
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| 192 |
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self.ewk.Scale(bkgdNorms[self.nB][self.channel]['ewk']/self.ewk.Integral(0,self.nBins+1)) #this is only done to show results of fit
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self.top.Scale(bkgdNorms[self.nB][self.channel]['top']/self.top.Integral(0,self.nBins+1)) #this is only done to show results of fit
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self.qcd.Scale(fakeRate[self.nB][self.channel])
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#Scheme Choice
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#Scheme B
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#if self.nB=='2p': self.qcd.Scale(fakeRate['1p'][self.channel])
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#else: self.qcd.Scale(fakeRate[self.nB][self.channel])
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#Scheme C
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self.qcd.Scale(fakeRate['0p'][self.channel])
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| 203 |
jstupak |
1.1 |
self.backgroundStack.Add(self.qcd)
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self.backgroundStack.Add(self.ewk)
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self.backgroundStack.Add(self.top)
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| 206 |
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| 207 |
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self.background=self.backgroundStack.GetStack().Last().Clone(self.name+'_background')
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| 208 |
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result['Total Background']=self.background.Integral(0,self.nBins+1)
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| 209 |
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result['Data']=self.data.Integral(0,self.nBins+1)
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| 210 |
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result['QCD']=self.qcd.Integral(0,self.nBins+1)
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| 211 |
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| 212 |
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return result
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| 214 |
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| 215 |
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def Draw(self):
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| 216 |
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| 217 |
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self.canvas=TCanvas(self.name,"",1000,800)
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| 218 |
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| 219 |
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yDiv=0.35
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| 220 |
jstupak |
1.2 |
self.uPad=TPad("uPad","",0,yDiv,1,1) #for actual plots
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| 221 |
jstupak |
1.1 |
self.uPad.SetBottomMargin(0)
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| 222 |
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self.uPad.SetRightMargin(.05)
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| 223 |
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self.uPad.SetLeftMargin(.18)
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| 224 |
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self.uPad.Draw()
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| 225 |
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| 226 |
jstupak |
1.2 |
self.lPad=TPad("lPad","",0,0,1,yDiv) #for sigma runner
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| 227 |
jstupak |
1.1 |
self.lPad.SetTopMargin(0)
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| 228 |
jstupak |
1.2 |
self.lPad.SetBottomMargin(.4)
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| 229 |
jstupak |
1.1 |
self.lPad.SetRightMargin(.05)
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| 230 |
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self.lPad.SetLeftMargin(.18)
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| 231 |
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self.lPad.SetGridy()
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| 232 |
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self.lPad.Draw()
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| 233 |
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| 234 |
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self.data.SetMaximum(2*self.data.GetMaximum())
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| 235 |
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self.data.SetMinimum(0.025)
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| 236 |
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self.data.GetYaxis().CenterTitle()
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| 237 |
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self.data.GetXaxis().SetLabelSize(0)
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| 238 |
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self.data.GetYaxis().SetLabelSize(0.08)
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| 239 |
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self.data.GetYaxis().SetTitleSize(0.12)
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| 240 |
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self.data.GetYaxis().SetTitleOffset(.75)
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| 241 |
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| 242 |
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if self.yLog:
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| 243 |
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self.uPad.SetLogy()
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| 244 |
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self.data.SetMaximum(500*self.data.GetMaximum())
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| 245 |
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| 246 |
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binWidth=round(self.data.GetBinWidth(1),5)
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| 247 |
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if binWidth-round(binWidth)<.001*binWidth: binWidth=int(round(binWidth))
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| 248 |
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yTitle="Events / "+str(binWidth)
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| 249 |
jstupak |
1.2 |
if '[' in self.xTitle and ']' in self.xTitle: #get units from x axis title
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| 250 |
jstupak |
1.1 |
begin=self.xTitle.find('[')+1
|
| 251 |
|
|
end=self.xTitle.find(']')
|
| 252 |
|
|
yTitle+=' '+self.xTitle[begin:end]
|
| 253 |
|
|
self.data.GetYaxis().SetTitle(yTitle)
|
| 254 |
|
|
|
| 255 |
|
|
self.uPad.cd()
|
| 256 |
jstupak |
1.2 |
self.data.Draw("E1") #draw data first because its easier to format a TH1 than a THStack
|
| 257 |
jstupak |
1.1 |
self.backgroundStack.Draw("SAME HIST")
|
| 258 |
|
|
for signal in self.signals: signal.Draw("SAME HIST")
|
| 259 |
jstupak |
1.2 |
self.data.Draw("SAME E1") #redraw data so its not hidden
|
| 260 |
jstupak |
1.1 |
self.uPad.RedrawAxis()
|
| 261 |
|
|
|
| 262 |
jstupak |
1.2 |
#calculate stat+sys uncertainty
|
| 263 |
jstupak |
1.1 |
self.uncBand=self.background.Clone("unc")
|
| 264 |
|
|
for binNo in range(0,self.nBins+1):
|
| 265 |
|
|
lumiUnc=0
|
| 266 |
|
|
sigmaUnc=0
|
| 267 |
|
|
statUnc=0
|
| 268 |
|
|
for sample in samples:
|
| 269 |
|
|
if sample.isBackground:
|
| 270 |
|
|
lumiUnc+=(sample.h.GetBinContent(binNo)*lumiFracUnc)**2
|
| 271 |
|
|
if sample.name=='WJets': sigmaFracUnc=wJetsSigmaFracUnc
|
| 272 |
|
|
elif sample.name[0]=='T': sigmaFracUnc=ttbarSigmaFracUnc
|
| 273 |
jstupak |
1.2 |
else: sigmaFracUnc=otherSigmaFracUnc #WW, Z+Jets
|
| 274 |
jstupak |
1.1 |
sigmaUnc+=(sample.h.GetBinContent(binNo)*sigmaFracUnc)**2
|
| 275 |
|
|
statUnc+=sample.h.GetBinError(binNo)**2
|
| 276 |
|
|
totalUnc=sqrt(lumiUnc+sigmaUnc+statUnc)
|
| 277 |
|
|
self.uncBand.SetBinError(binNo,totalUnc)
|
| 278 |
|
|
self.background.SetBinError(binNo,totalUnc)
|
| 279 |
|
|
self.uncBand.SetFillStyle(3344)
|
| 280 |
|
|
self.uncBand.SetFillColor(1)
|
| 281 |
|
|
self.uncBand.SetLineColor(1)
|
| 282 |
|
|
gStyle.SetHatchesLineWidth(1)
|
| 283 |
|
|
self.uncBand.Draw("SAME E2")
|
| 284 |
|
|
|
| 285 |
|
|
legend=TLegend(0.60,0.60,0.90,0.90)
|
| 286 |
|
|
legend.SetShadowColor(0);
|
| 287 |
|
|
legend.SetFillColor(0);
|
| 288 |
|
|
legend.SetLineColor(0);
|
| 289 |
|
|
legend.AddEntry(self.data,"Data")
|
| 290 |
|
|
legend.AddEntry(self.top,"t#bar{t} + Single-Top", "f")
|
| 291 |
|
|
legend.AddEntry(self.ewk,"W#rightarrowl#nu + Z/#gamma*#rightarrowl^{+}l^{-} + VV" , "f")
|
| 292 |
|
|
legend.AddEntry(self.qcd,"QCD","f")
|
| 293 |
|
|
for signal in self.signals:
|
| 294 |
|
|
name=signal.GetName()
|
| 295 |
|
|
begin=name.find("Wprime")+6
|
| 296 |
|
|
end=name.find("Right")-2
|
| 297 |
|
|
dot=end-1
|
| 298 |
|
|
mass=name[begin:dot]+'.'+name[dot:end]
|
| 299 |
|
|
legend.AddEntry(signal, "W'_{R} x 20, m="+mass+" TeV", "l")
|
| 300 |
|
|
legend.AddEntry(self.uncBand , "Uncertainty" , "f")
|
| 301 |
|
|
legend.Draw("SAME")
|
| 302 |
|
|
|
| 303 |
|
|
prelimTex=TLatex()
|
| 304 |
|
|
prelimTex.SetNDC()
|
| 305 |
|
|
prelimTex.SetTextSize(0.04)
|
| 306 |
|
|
prelimTex.SetTextAlign(31) # align right
|
| 307 |
|
|
if self.channel=='el': lumi=elLumi
|
| 308 |
|
|
elif self.channel=='mu': lumi=muLumi
|
| 309 |
|
|
lumi/=1000.
|
| 310 |
|
|
lumi=round(lumi,2)
|
| 311 |
|
|
prelimTex.DrawLatex(0.87, 0.95, "CMS Preliminary, "+str(lumi)+" fb^{-1} at #sqrt{s} = 8 TeV");
|
| 312 |
|
|
|
| 313 |
|
|
if self.nB=="0":
|
| 314 |
|
|
bTagLabel="N_{b tags} = 0"
|
| 315 |
|
|
elif self.nB=="0p":
|
| 316 |
|
|
bTagLabel="N_{b tags} #geq 0"
|
| 317 |
|
|
elif self.nB=="1":
|
| 318 |
|
|
bTagLabel="N_{b tags} = 1"
|
| 319 |
|
|
elif self.nB=="1p":
|
| 320 |
|
|
bTagLabel="N_{b tags} #geq 1"
|
| 321 |
|
|
elif self.nB=="2":
|
| 322 |
|
|
bTagLabel="N_{b tags} = 2"
|
| 323 |
|
|
elif self.nB=="2p":
|
| 324 |
|
|
bTagLabel="N_{b tags} #geq 2"
|
| 325 |
|
|
channelTex = TLatex()
|
| 326 |
|
|
channelTex.SetNDC()
|
| 327 |
|
|
channelTex.SetTextSize(0.08)
|
| 328 |
|
|
channelTex.SetTextAlign(31) # align right
|
| 329 |
|
|
if self.channel=='el': text='e'
|
| 330 |
|
|
elif self.channel=='mu': text='#mu'
|
| 331 |
|
|
text+="+jets "+bTagLabel
|
| 332 |
|
|
channelTex.DrawLatex(0.5, 0.83, text);
|
| 333 |
|
|
|
| 334 |
|
|
self.lPad.cd()
|
| 335 |
|
|
self.pull=self.data.Clone("pull")
|
| 336 |
|
|
for binNo in range(0,self.nBins+1):
|
| 337 |
|
|
if self.background.GetBinError(binNo)!=0:
|
| 338 |
|
|
self.pull.SetBinContent(binNo,(self.data.GetBinContent(binNo)-self.background.GetBinContent(binNo))/self.background.GetBinError(binNo))
|
| 339 |
|
|
self.pull.SetMaximum(3)
|
| 340 |
|
|
self.pull.SetMinimum(-3)
|
| 341 |
|
|
self.pull.SetFillColor(2)
|
| 342 |
|
|
self.pull.SetLineColor(2)
|
| 343 |
|
|
self.pull.GetXaxis().SetLabelSize(.15)
|
| 344 |
|
|
self.pull.GetXaxis().SetTitleSize(0.18)
|
| 345 |
|
|
self.pull.GetXaxis().SetTitle(self.xTitle)
|
| 346 |
|
|
self.pull.GetXaxis().SetTitleOffset(.95) #1.15
|
| 347 |
|
|
self.pull.GetYaxis().SetLabelSize(0.125)
|
| 348 |
|
|
self.pull.GetYaxis().SetTitleSize(0.1)
|
| 349 |
|
|
self.pull.GetYaxis().SetTitle('#sigma(Data-MC)')
|
| 350 |
|
|
self.pull.GetYaxis().SetTitleOffset(.35)
|
| 351 |
|
|
self.pull.GetYaxis().SetNdivisions(5);
|
| 352 |
|
|
self.pull.Draw("HIST")
|
| 353 |
|
|
|
| 354 |
|
|
output.cd()
|
| 355 |
jstupak |
1.2 |
self.canvas.Write()
|
| 356 |
jstupak |
1.1 |
self.data.Write()
|
| 357 |
|
|
self.qcd.Write()
|
| 358 |
|
|
self.ewk.Write()
|
| 359 |
|
|
self.top.Write()
|
| 360 |
|
|
self.canvas.SaveAs(inputDir+'/'+self.name+'.pdf')
|
| 361 |
jstupak |
1.2 |
#self.canvas.SaveAs(inputDir+'/'+self.name+'.eps')
|
| 362 |
|
|
#self.canvas.SaveAs(inputDir+'/'+self.name+'.C')
|
| 363 |
jstupak |
1.1 |
|
| 364 |
jstupak |
1.2 |
#- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
|
| 365 |
jstupak |
1.1 |
|
| 366 |
jstupak |
1.2 |
#does the QCD fit
|
| 367 |
jstupak |
1.1 |
def getNorms(self):
|
| 368 |
|
|
data=self.data.Clone("data")
|
| 369 |
|
|
backgrounds=TObjArray(3)
|
| 370 |
|
|
backgrounds.Add(self.qcd.Clone(self.name+'_qcd_fitRes'))
|
| 371 |
|
|
backgrounds.Add(self.ewk.Clone(self.name+'_ewk_fitRes'))
|
| 372 |
|
|
backgrounds.Add(self.top.Clone(self.name+'_top_fitRes'))
|
| 373 |
|
|
|
| 374 |
|
|
self.fitter=TFractionFitter(data,backgrounds)
|
| 375 |
|
|
for binNo in range(self.nBins+2):
|
| 376 |
|
|
for hist in [data,backgrounds[0],backgrounds[1],backgrounds[2]]:
|
| 377 |
jstupak |
1.2 |
if hist.GetBinContent(binNo)<5: self.fitter.ExcludeBin(binNo) #can't have bins with very small content included in fit
|
| 378 |
jstupak |
1.1 |
|
| 379 |
|
|
status=self.fitter.Fit()
|
| 380 |
|
|
|
| 381 |
|
|
result={}
|
| 382 |
|
|
if status==0:
|
| 383 |
|
|
value=Double()
|
| 384 |
|
|
error=Double()
|
| 385 |
|
|
|
| 386 |
|
|
fitChi2[self.nB][self.channel]=self.fitter.GetChisquare()
|
| 387 |
|
|
fitNDF[self.nB][self.channel]=self.fitter.GetNDF()
|
| 388 |
|
|
|
| 389 |
|
|
self.fitter.GetResult(0,value,error)
|
| 390 |
|
|
result['qcd']=value*data.Integral(0,self.nBins+1)
|
| 391 |
|
|
QCDFrac[self.nB][self.channel]=value
|
| 392 |
|
|
QCDFracUnc[self.nB][self.channel]=error
|
| 393 |
|
|
|
| 394 |
|
|
self.fitter.GetResult(1,value,error)
|
| 395 |
|
|
result['ewk']=value*data.Integral(0,self.nBins+1)
|
| 396 |
|
|
self.fitter.GetResult(2,value,error)
|
| 397 |
|
|
result['top']=value*data.Integral(0,self.nBins+1)
|
| 398 |
|
|
|
| 399 |
|
|
return result
|
| 400 |
|
|
|
| 401 |
|
|
|
| 402 |
|
|
##################################################################################################################################################################
|
| 403 |
|
|
|
| 404 |
|
|
if __name__=='__main__':
|
| 405 |
|
|
|
| 406 |
|
|
yields={}
|
| 407 |
|
|
plots=[]
|
| 408 |
|
|
for n in bJetRequirements:
|
| 409 |
|
|
yields[n]={}
|
| 410 |
jstupak |
1.2 |
|
| 411 |
jstupak |
1.1 |
if doFracFit:
|
| 412 |
|
|
plots+=[#WPrimePlot(name='corr_met_fitRes',distribution='corr_met_WprimeCalc',nBins=250,xMin=0,xMax=1000,xTitle='E_{T}^{miss} [GeV]',yLog=True,nB=n,channel='el'),
|
| 413 |
|
|
WPrimePlot(name='electron0_RelIso_fitRes',distribution='elec_1_RelIso_WprimeCalc',nBins=90,xMin=0,xMax=0.15,xTitle='electron Rel. Isolation',yLog=True,nB=n,channel='el'),
|
| 414 |
|
|
#WPrimePlot(name='corr_met_fitRes',distribution='corr_met_WprimeCalc',nBins=250,xMin=0,xMax=1000,xTitle='E_{T}^{miss} [GeV]',yLog=True,nB=n,channel='mu'),
|
| 415 |
|
|
#WPrimePlot(name='muon0_RelIso_fitRes',distribution='muon_1_RelIso_WprimeCalc',nBins=250,xMin=0,xMax=0.15,xTitle='muon Rel. Isolation',yLog=True,nB=n,channel='mu')
|
| 416 |
|
|
]
|
| 417 |
|
|
|
| 418 |
|
|
if doCutTable:
|
| 419 |
|
|
plots+=[WPrimePlot(name='electron0_pt',distribution='elec_1_pt_WprimeCalc',nBins=100,xMin=0,xMax=7000,xTitle='electron p_{T} [GeV]',yLog=True,nB=n,channel='el'),
|
| 420 |
|
|
WPrimePlot(name='muon0_pt',distribution='muon_1_pt_WprimeCalc',nBins=100,xMin=0,xMax=7000,xTitle='muon p_{T} [GeV]',yLog=True,nB=n,channel='mu')
|
| 421 |
|
|
]
|
| 422 |
|
|
|
| 423 |
|
|
else:
|
| 424 |
|
|
plots+=[WPrimePlot(name='electron0_pt',distribution='elec_1_pt_WprimeCalc',nBins=100,xMin=0,xMax=1000,xTitle='electron p_{T} [GeV]',yLog=True,nB=n,channel='el'),
|
| 425 |
|
|
WPrimePlot(name='electron0_eta',distribution='elec_1_eta_WprimeCalc',nBins=50,xMin=-2.5,xMax=2.5,xTitle='electron #eta',yLog=False,nB=n,channel='el'),
|
| 426 |
|
|
WPrimePlot(name='electron0_RelIso',distribution='elec_1_RelIso_WprimeCalc',nBins=30,xMin=0,xMax=0.15,xTitle='electron Rel. Isolation',yLog=True,nB=n,channel='el'),
|
| 427 |
|
|
|
| 428 |
|
|
#WPrimePlot(name='muon0_pt',distribution='muon_1_pt_WprimeCalc',nBins=100,xMin=0,xMax=1000,xTitle='muon p_{T} [GeV]',yLog=True,nB=n,channel='mu'),
|
| 429 |
|
|
#WPrimePlot(name='muon0_eta',distribution='muon_1_eta_WprimeCalc',nBins=50,xMin=-2.5,xMax=2.5,xTitle='muon #eta',yLog=False,nB=n,channel='mu'),
|
| 430 |
|
|
#WPrimePlot(name='muon0_RelIso',distribution='muon_1_RelIso_WprimeCalc',nBins=30,xMin=0,xMax=0.15,xTitle='muon Rel. Isolation',yLog=True,nB=n,channel='mu')
|
| 431 |
|
|
]
|
| 432 |
|
|
for c in channels:
|
| 433 |
|
|
plots+=[WPrimePlot(name='BestJetJet2W_M',distribution='BestJetJet2W_M_LjetsTopoCalcNew',nBins=68,xMin=100,xMax=3500,xTitle='M(tb) [GeV]',yLog=True,nB=n,channel=c),
|
| 434 |
|
|
#WPrimePlot(name='Jet1Jet2W_M',distribution='Jet1Jet2W_M_LjetsTopoCalcNew',nBins=68,xMin=100,xMax=3500,xTitle='M(tb) [GeV]',yLog=True,nB=n,channel=c),
|
| 435 |
|
|
WPrimePlot(name='corr_met',distribution='corr_met_WprimeCalc',nBins=100,xMin=0,xMax=1000,xTitle='E_{T}^{miss} [GeV]',yLog=True,nB=n,channel=c),
|
| 436 |
|
|
#WPrimePlot(name='PFjet0_pt',distribution='jet_0_pt_WprimeCalc',nBins=130,xMin=0,xMax=1300,xTitle='p_{T} (jet1) [GeV]',yLog=True,nB=n,channel=c),
|
| 437 |
|
|
#WPrimePlot(name='PFjet0_eta',distribution='jet_0_eta_WprimeCalc',nBins=50,xMin=-2.5,xMax=2.5,xTitle='#eta (jet1)',yLog=False,nB=n,channel=c),
|
| 438 |
|
|
#WPrimePlot(name='PFjet1_pt',distribution='jet_1_pt_WprimeCalc',nBins=120,xMin=0,xMax=1200,xTitle='p_{T} (jet2) [GeV]',yLog=True,nB=n,channel=c),
|
| 439 |
|
|
#WPrimePlot(name='PFjet1_eta',distribution='jet_1_eta_WprimeCalc',nBins=50,xMin=-2.5,xMax=2.5,xTitle='#eta (jet2)',yLog=False,nB=n,channel=c),
|
| 440 |
|
|
#WPrimePlot(name='PFjet2_pt',distribution='jet_2_pt_WprimeCalc',nBins=80,xMin=0,xMax=800,xTitle='p_{T} (jet3) [GeV]',yLog=True,nB=n,channel=c),
|
| 441 |
|
|
#WPrimePlot(name='PFjet2_eta',distribution='jet_2_eta_WprimeCalc',nBins=50,xMin=-2.5,xMax=2.5,xTitle='#eta (jet3)',yLog=False,nB=n,channel=c),
|
| 442 |
|
|
WPrimePlot(name='TopMass_Best',distribution='BestTop_LjetsTopoCalcNew',nBins=100,xMin=0,xMax=1000,xTitle='M(best jet,W) [GeV]',yLog=True,nB=n,channel=c),
|
| 443 |
|
|
#WPrimePlot(name='TopPt_Best',distribution='BestTop_Pt_LjetsTopoCalcNew',nBins=150,xMin=0,xMax=1500,xTitle='p_{T}(best jet,W) [GeV]',yLog=True,nB=n,channel=c),
|
| 444 |
|
|
#WPrimePlot(name='Pt_Jet1Jet2',distribution='Jet1Jet2_Pt_LjetsTopoCalcNew',nBins=150,xMin=0,xMax=1500,xTitle='p_{T}(jet1,jet2) [GeV]',yLog=True,nB=n,channel=c),
|
| 445 |
|
|
#WPrimePlot(name='HT',distribution='Ht_LjetsTopoCalcNew',nBins=125,xMin=0,xMax=2500,xTitle='H_{T} [GeV]',yLog=True,nB=n,channel=c),
|
| 446 |
|
|
WPrimePlot(name='nPV',distribution='nPV_WprimeCalc',nBins=50,xMin=0,xMax=50,xTitle='# Vertices',yLog=True,nB=n,channel=c)
|
| 447 |
|
|
]
|
| 448 |
|
|
|
| 449 |
|
|
for plot in plots:
|
| 450 |
|
|
yields[plot.nB][plot.channel]=plot.Prepare()
|
| 451 |
|
|
plot.Draw()
|
| 452 |
|
|
|
| 453 |
|
|
cWidth=15; nameWidth=35
|
| 454 |
|
|
for c in channels:
|
| 455 |
jstupak |
1.2 |
print ("CHANNEL:"+c).ljust(nameWidth+(2*cWidth+1)),"N_b"
|
| 456 |
jstupak |
1.1 |
print "".ljust(nameWidth),
|
| 457 |
|
|
for n in bJetRequirements: print n.ljust(cWidth),
|
| 458 |
|
|
print
|
| 459 |
|
|
for sample in ['Data','QCD']: #,'W+light','W+c','W+b']:
|
| 460 |
|
|
print sample.ljust(nameWidth),
|
| 461 |
|
|
for n in bJetRequirements:
|
| 462 |
|
|
try: print str(int(round(yields[n][c][sample]))).ljust(cWidth),
|
| 463 |
|
|
except: pass
|
| 464 |
|
|
print
|
| 465 |
|
|
for sample in samples:
|
| 466 |
|
|
if (c=='el' and 'SingleMu' in sample.name) or (c=='mu' and 'SingleEl' in sample.name) or 'QCD_' in sample.name: continue
|
| 467 |
|
|
if sample.isData: continue
|
| 468 |
|
|
print sample.name.ljust(nameWidth),
|
| 469 |
|
|
for n in bJetRequirements:
|
| 470 |
|
|
print str(int(round(yields[n][c][sample.name]))).ljust(cWidth),
|
| 471 |
|
|
print
|
| 472 |
|
|
for sample in ['Total Background']:
|
| 473 |
|
|
print sample.ljust(nameWidth),
|
| 474 |
|
|
for n in bJetRequirements:
|
| 475 |
|
|
print str(int(round(yields[n][c][sample]))).ljust(cWidth),
|
| 476 |
|
|
print
|
| 477 |
|
|
print 'Background/Data'.ljust(nameWidth),
|
| 478 |
|
|
for n in bJetRequirements:
|
| 479 |
|
|
print str(round(yields[n][c]['Total Background']/yields[n][c]['Data'],3)).ljust(cWidth),
|
| 480 |
|
|
print 3*'\n'
|
| 481 |
|
|
|
| 482 |
jstupak |
1.2 |
if doFracFit:
|
| 483 |
|
|
for c in channels:
|
| 484 |
|
|
print 'CHANNEL:',c
|
| 485 |
|
|
for n in bJetRequirements:
|
| 486 |
|
|
print 'nB:',n
|
| 487 |
|
|
print 'QCDFrac =',QCDFrac[n][c]
|
| 488 |
|
|
print 'QCDFracUnc =',QCDFracUnc[n][c]
|
| 489 |
|
|
print "fake rate:",fakeRate[n][c]
|
| 490 |
|
|
print '100*QCDFracUnc/QCDFrac =',100*QCDFracUnc[n][c]/QCDFrac[n][c]
|
| 491 |
|
|
print 'chi2/nDF =',fitChi2[n][c]/fitNDF[n][c]
|
| 492 |
|
|
print
|
