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peller |
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#!/usr/bin/env python
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from copytree import copytree
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from printcolor import printc
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from samplesclass import sample
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import pickle
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prefix='ZllH.May5Reg.'
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lumi=4700
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pathIN='/scratch/May05/'
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pathOUT='/scratch/May05/env/'
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weightexpression='((0.46502*PUweight+0.53498*PUweight2011B)*weightTrig)'
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#Montecarlos
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InFiles0 = ['WW_TuneZ2_7TeV_pythia6_tauola', 'WZ_TuneZ2_7TeV_pythia6_tauola','ZZ_TuneZ2_7TeV_pythia6_tauola','TTJets_TuneZ2_7TeV-madgraph-tauola','T_TuneZ2_s-channel_7TeV-powheg-tauola','T_TuneZ2_t-channel_7TeV-powheg-tauola', 'T_TuneZ2_tW-channel-DR_7TeV-powheg-tauola','Tbar_TuneZ2_s-channel_7TeV-powheg-tauola','Tbar_TuneZ2_t-channel_7TeV-powheg-tauola', 'Tbar_TuneZ2_tW-channel-DR_7TeV-powheg-tauola','ZH_ZToLL_HToBB_M-110_7TeV-powheg-herwigpp','ZH_ZToLL_HToBB_M-115_7TeV-powheg-herwigpp','ZH_ZToLL_HToBB_M-120_7TeV-powheg-herwigpp','ZH_ZToLL_HToBB_M-125_7TeV-powheg-herwigpp','ZH_ZToLL_HToBB_M-130_7TeV-powheg-herwigpp']
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samplenames0 =['WW','WZ','ZZ','TT','ST_s','ST_t','ST_tW','STbar_s','STbar_t','STbar_tW','ZH110','ZH115','ZH120','ZH125','ZH130']
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sampletypes0 =['BKG','BKG','BKG','BKG','BKG','BKG','BKG','BKG','BKG','BKG','SIG','SIG','SIG','SIG','SIG']
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samplesgroup0=['VV','VV','VV','TT','ST','ST','ST','ST','ST','ST','ZH','ZH','ZH','ZH','ZH']
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xsecs0 = [42.9, 18.3, 5.9, 165, 3.19, 41.92, 7.87, 1.44, 22.65, 7.87, 0.4721*0.100974*0.745, 0.4107*0.100974*0.704, 0.3598*0.100974*0.648, 0.3158*0.100974*0.577, 0.2778*0.100974*0.493]
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Aprefix0 = ['']
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cut0 = ['(Vtype == 1 || Vtype == 0) && EVENT.json && hbhe']
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#split DY in flavours
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#genZpt < 120
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InFiles1 = ['DYJetsToLL_TuneZ2_M-50_7TeV-madgraph-tauola']*3
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samplenames1 =['Zudsg','Zbb','Zcc']
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sampletypes1 =['BKG']*3
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samplesgroup1=['DYlight','DYb','DYc']
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xsecs1 = [3048]*3
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Aprefix1 = ['udscg_120_', 'b_120_','c_120_']
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cut1 = ['(Vtype == 1 || Vtype == 0) & EVENT.json & hbhe & eventFlav != 5 & eventFlav != 4 & genZpt <= 120.','(Vtype == 1 || Vtype == 0) & EVENT.json & hbhe & eventFlav == 5 & genZpt <= 120.','(Vtype == 1 || Vtype == 0) & EVENT.json & hbhe & eventFlav == 4 & genZpt <= 120.']
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#genZpt > 120
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InFiles2 = ['DYJetsToLL_PtZ-100_TuneZ2_7TeV-madgraph-tauola']*3
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samplenames2 =['Zudsg_pt120','Zbb_pt120','Zcc_pt120']
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sampletypes2 =['BKG']*3
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samplesgroup2=['DYlight','DYb','DYc']
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xsecs2 = [30]*3
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Aprefix2 = ['udscg_120_', 'b_120_','c_120_']
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cut2 = ['(Vtype == 1 || Vtype == 0) & EVENT.json & hbhe & eventFlav != 5 & eventFlav != 4 & genZpt > 120.','(Vtype == 1 || Vtype == 0) & EVENT.json & hbhe & eventFlav == 5 & genZpt > 120.','(Vtype == 1 || Vtype == 0) & EVENT.json & hbhe & eventFlav == 4 & genZpt > 120.']
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#The Data
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dataFiles = ['DataZee', 'DataZmm']
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datanames =['Zee','Zmm']
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datatypes =['DATA','DATA']
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datagroup=['DATA','DATA']
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AdataPrefix = ['']
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datacuts=['(Vtype==1 && EVENT.json && hbhe) && (triggerFlags[5] | triggerFlags[6])','(Vtype==0 && EVENT.json && hbhe)&&((EVENT.run<173198 && (triggerFlags[0]>0 || triggerFlags[13]>0 || triggerFlags[14]>0 || triggerFlags[20]>0 || triggerFlags[21]>0)) || (EVENT.run>=173198 && EVENT.run<175832 && (triggerFlags[13]>0 ||triggerFlags[14]>0 || triggerFlags[22]>0 || triggerFlags[23]>0))|| (EVENT.run>=175832 && EVENT.run<178390 && (triggerFlags[13]>0 ||triggerFlags[14]>0 ||triggerFlags[15]>0 || triggerFlags[21]>0 || triggerFlags[22]>0 || triggerFlags[23]>0)) || (EVENT.run>=178390 && (triggerFlags[14]>0 ||triggerFlags[15]>0 || triggerFlags[21]>0 || triggerFlags[22]>0 || triggerFlags[23]>0 || triggerFlags[24]>0 || triggerFlags[25]>0 || triggerFlags[26]>0 || triggerFlags[27]>0)))']
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info = []
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#prepare the files:
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# i>1 because no WW sample!!! only temporary fix
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for i in range(1,len(InFiles0)):
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copytree(pathIN,pathOUT,prefix,InFiles0[i],Aprefix0[0],cut0[0])
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info.append(sample(samplenames0[i],sampletypes0[i]))
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info[-1].path=pathOUT
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info[-1].identifier=Aprefix0[0]+InFiles0[i]
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info[-1].weightexpression=weightexpression
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info[-1].group=samplesgroup0[i]
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info[-1].lumi=lumi
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info[-1].prefix=prefix
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info[-1].xsec=xsecs0[i]
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info[-1].addtreecut(cut0[0])
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for i in range(3):
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#copytree(pathIN,pathOUT,prefix,InFiles1[i],Aprefix1[i],cut1[i])
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info.append(sample(samplenames1[i],sampletypes1[i]))
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info[-1].path=pathOUT
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info[-1].identifier=Aprefix1[i]+InFiles1[i]
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info[-1].weightexpression=weightexpression
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info[-1].group=samplesgroup1[i]
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info[-1].lumi=lumi
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info[-1].prefix=prefix
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info[-1].xsec=xsecs1[i]
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info[-1].addtreecut(cut1[i])
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for i in range(3):
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#copytree(pathIN,pathOUT,prefix,InFiles2[i],Aprefix2[i],cut2[i])
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info.append(sample(samplenames2[i],sampletypes2[i]))
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info[-1].path=pathOUT
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info[-1].identifier=Aprefix2[i]+InFiles2[i]
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info[-1].weightexpression=weightexpression
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info[-1].group=samplesgroup2[i]
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info[-1].lumi=lumi
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info[-1].prefix=prefix
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info[-1].xsec=xsecs2[i]
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info[-1].addtreecut(cut2[i])
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for i in range(0,len(dataFiles)):
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#copytree(pathIN,pathOUT,prefix,dataFiles[i],AdataPrefix[0],datacuts[i])
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info.append(sample(datanames[i],datatypes[i]))
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info[-1].path=pathOUT
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info[-1].identifier=AdataPrefix[0]+dataFiles[i]
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info[-1].group=datagroup[i]
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info[-1].lumi=lumi
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info[-1].prefix=prefix
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info[-1].addtreecut(datacuts[i])
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#dump info
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infofile = open(pathOUT+'/samples.info','w')
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pickle.dump(info,infofile)
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infofile.close()
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