00001
00002
00003
00004
00005
00006 from string import Template
00007
00008 stripDiscName = lambda x: (x.split('/')[-1]).split('Eff')[0]
00009
00010 defaultPlots = [
00011 ['RecoTauV/hpsPFTauProducer%s_hpsPFTauDiscriminationByDecayModeFinding/DecayModeFindingEff%s',
00012 'RecoTauV/hpsPFTauProducer%s_hpsPFTauDiscriminationByLooseChargedIsolation/LooseChargedIsolationEff%s',
00013 'RecoTauV/hpsPFTauProducer%s_hpsPFTauDiscriminationByLooseCombinedIsolationDBSumPtCorr/LooseCombinedIsolationDBSumPtCorrEff%s'],
00014 ['RecoTauV/hpsPFTauProducer%s_hpsPFTauDiscriminationByMediumCombinedIsolationDBSumPtCorr/MediumCombinedIsolationDBSumPtCorrEff%s',
00015 'RecoTauV/hpsPFTauProducer%s_hpsPFTauDiscriminationByTightCombinedIsolationDBSumPtCorr/TightCombinedIsolationDBSumPtCorrEff%s',
00016 'RecoTauV/hpsPFTauProducer%s_hpsPFTauDiscriminationByVLooseCombinedIsolationDBSumPtCorr/VLooseCombinedIsolationDBSumPtCorrEff%s'],
00017 ]
00018
00019 muonrejplots = ['RecoTauV/hpsPFTauProducerRealMuonsData_hpsPFTauDiscriminationByLooseMuonRejection/LooseMuonRejectionEff%s', 'RecoTauV/hpsPFTauProducerRealMuonsData_hpsPFTauDiscriminationByMediumMuonRejection/MediumMuonRejectionEff%s', 'RecoTauV/hpsPFTauProducerRealMuonsData_hpsPFTauDiscriminationByTightMuonRejection/TightMuonRejectionEff%s']
00020
00021 elerejplots = [
00022 ['RecoTauV/hpsPFTauProducerRealElectronsData_hpsPFTauDiscriminationByLooseElectronRejection/LooseElectronRejectionEff%s',
00023 'RecoTauV/hpsPFTauProducerRealElectronsData_hpsPFTauDiscriminationByMVAElectronRejection/MVAElectronRejectionEff%s',],
00024 ['RecoTauV/hpsPFTauProducerRealElectronsData_hpsPFTauDiscriminationByMediumElectronRejection/MediumElectronRejectionEff%s',
00025 'RecoTauV/hpsPFTauProducerRealElectronsData_hpsPFTauDiscriminationByTightElectronRejection/TightElectronRejectionEff%s']
00026 ]
00027
00028 variables = {'a':'pt','b':'pileup','c':'eta','d':'phi'}
00029
00030 datasetNames = {'RealData' : 'QCD Jets', 'RealMuonsData' : 'muons from Z', 'RealElectronsData' : 'electrons from Z'}
00031
00032 outputFileString = 'def shiftpftaulayout(i, p, *rows): i["00 Shift/Tau/" + p] = DQMItem(layout=rows)\n\n%s'
00033 stdFill=Template('shiftpftaulayout(\n\tdqmitems,\n\t"$locpath",\n\t$rows\n\t)')
00034
00035 def defaults(locpath,dataType,var):
00036 rows = [[{ 'path': plot % (dataType,var), 'description': '%s fake rate from %s' % (stripDiscName(plot), datasetNames[dataType]),'draw': {'drawopts': "e"}} for plot in row] for row in defaultPlots]
00037 strow = ',\n\t'.join([row.__repr__() for row in rows])
00038 return stdFill.substitute(locpath=locpath,rows=strow)
00039
00040 def muRej(locpath,var):
00041 rows = [{ 'path': plot % var, 'description': '%s fake rate' % (stripDiscName(plot)),'draw': {'drawopts': "e"}} for plot in muonrejplots]
00042 return stdFill.substitute(locpath=locpath,rows=rows.__repr__())
00043
00044 def eleRej(locpath,var):
00045 rows = [[{ 'path': plot % var, 'description': '%s fake rate' % (stripDiscName(plot)),'draw': {'drawopts': "e"}} for plot in row] for row in elerejplots]
00046 strow = ',\n\t'.join([row.__repr__() for row in rows])
00047 return stdFill.substitute(locpath=locpath,rows=strow)
00048
00049
00050
00051
00052 toAdd = [ defaults('SingleMu/00%s - Fake rate from muons vs %s' % item,'RealMuonsData',item[1]) for item in variables.items() ]
00053 toAdd.extend( [ muRej('SingleMu/01%s - Muon rejection fake rate vs %s' % item,item[1]) for item in variables.items() ] )
00054 toAdd.extend( [ defaults('SingleMu/02%s - Fake rate from jets vs %s' % item,'RealData',item[1]) for item in variables.items() ] )
00055
00056
00057
00058
00059 toAdd.extend([ defaults('Jet/00%s - Fake rate from jets vs %s' % item,'RealData',item[1]) for item in variables.items() ] )
00060
00061
00062
00063
00064 toAdd.extend([ defaults('DoubleElectron_OR_TauPlusX/00%s - Fake rate from electrons vs %s' % item,'RealElectronsData',item[1]) for item in variables.items() ] )
00065 toAdd.extend( [ eleRej('DoubleElectron_OR_TauPlusX/01%s - Electron rejection fake rate vs %s' % item,item[1]) for item in variables.items() ] )
00066
00067 layout = open('shift_pftau_T0_layout.py','w')
00068 layout.write(outputFileString % '\n'.join(toAdd) )
00069 layout.close()
00070
00071
00072
00073
00074 layoutString = 'def pftaulayout(i, p, *rows): i["RecoTauV/Layouts/" + p] = DQMItem(layout=rows)\n\n%s'
00075 stdFill=Template('pftaulayout(\n\tdqmitems,\n\t"$locpath",\n\t$rows\n\t)')
00076
00077 layoutDefaultPlots = [
00078 [
00079 ['RecoTauV/hpsPFTauProducer%s_Matched/PFJetMatchingEff%s',
00080 'RecoTauV/hpsPFTauProducer%s_hpsPFTauDiscriminationByDecayModeFinding/DecayModeFindingEff%s'],
00081 ['RecoTauV/hpsPFTauProducer%s_hpsPFTauDiscriminationByLooseChargedIsolation/LooseChargedIsolationEff%s',
00082 'RecoTauV/hpsPFTauProducer%s_hpsPFTauDiscriminationByLooseCombinedIsolationDBSumPtCorr/LooseCombinedIsolationDBSumPtCorrEff%s'],
00083 ],
00084 [
00085 ['RecoTauV/hpsPFTauProducer%s_hpsPFTauDiscriminationByLooseIsolation/LooseIsolationEff%s',
00086 'RecoTauV/hpsPFTauProducer%s_hpsPFTauDiscriminationByMediumCombinedIsolationDBSumPtCorr/MediumCombinedIsolationDBSumPtCorrEff%s'],
00087 ['RecoTauV/hpsPFTauProducer%s_hpsPFTauDiscriminationByTightCombinedIsolationDBSumPtCorr/TightCombinedIsolationDBSumPtCorrEff%s',
00088 'RecoTauV/hpsPFTauProducer%s_hpsPFTauDiscriminationByVLooseCombinedIsolationDBSumPtCorr/VLooseCombinedIsolationDBSumPtCorrEff%s'],
00089 ]
00090 ]
00091
00092 layoutscone = [
00093 ['RecoTauV/shrinkingConePFTauProducerLeadingPion%s_shrinkingConePFTauDiscriminationByECALIsolationUsingLeadingPion/ECALIsolationUsingLeadingPionEff%s',
00094 'RecoTauV/shrinkingConePFTauProducerLeadingPion%s_shrinkingConePFTauDiscriminationByLeadingPionPtCut/LeadingPionPtCutEff%s'],
00095 ['RecoTauV/shrinkingConePFTauProducerLeadingPion%s_shrinkingConePFTauDiscriminationByLeadingTrackFinding/LeadingTrackFindingEff%s',
00096 'RecoTauV/shrinkingConePFTauProducerLeadingPion%s_shrinkingConePFTauDiscriminationByTrackIsolationUsingLeadingPion/TrackIsolationUsingLeadingPionEff%s']
00097 ]
00098
00099 layoutSizeSumpt = [
00100 ['RecoTauV/hpsPFTauProducer%s_hpsPFTauDiscriminationByDecayModeFinding/hpsPFTauDiscriminationByDecayModeFinding_Size_%s',
00101 'RecoTauV/hpsPFTauProducer%s_hpsPFTauDiscriminationByLooseChargedIsolation/hpsPFTauDiscriminationByLooseChargedIsolation_Size_%s',
00102 'RecoTauV/hpsPFTauProducer%s_hpsPFTauDiscriminationByLooseCombinedIsolationDBSumPtCorr/hpsPFTauDiscriminationByLooseCombinedIsolationDBSumPtCorr_Size_%s'],
00103 ['RecoTauV/hpsPFTauProducer%s_hpsPFTauDiscriminationByDecayModeFinding/hpsPFTauDiscriminationByDecayModeFinding_SumPt_%s',
00104 'RecoTauV/hpsPFTauProducer%s_hpsPFTauDiscriminationByLooseChargedIsolation/hpsPFTauDiscriminationByLooseChargedIsolation_SumPt_%s',
00105 'RecoTauV/hpsPFTauProducer%s_hpsPFTauDiscriminationByLooseCombinedIsolationDBSumPtCorr/hpsPFTauDiscriminationByLooseCombinedIsolationDBSumPtCorr_SumPt_%s'],
00106 ]
00107
00108 import string
00109
00110 def layDefaults(locpath,dataType,var):
00111 framerows = [[[{ 'path': plot % (dataType,var), 'description': '%s fake rate from %s' % (stripDiscName(plot), datasetNames[dataType]),'draw': {'drawopts': "e"}} for plot in row] for row in frame] for frame in layoutDefaultPlots]
00112 strows = [',\n\t'.join([row.__repr__() for row in rows]) for rows in framerows]
00113 ret = [stdFill.substitute(locpath=locpath % postfix, rows=strow) for postfix,strow in zip(string.letters,strows)]
00114 return '\n'.join(ret)
00115
00116 def sCone(locpath,dataType,var):
00117 rows = [[{ 'path': plot % (dataType,var), 'description': '%s fake rate from %s' % (stripDiscName(plot), datasetNames[dataType]),'draw': {'drawopts': "e"}} for plot in row] for row in layoutscone]
00118 strow = ',\n\t'.join([row.__repr__() for row in rows])
00119 return stdFill.substitute(locpath=locpath,rows=strow)
00120
00121 def sizeSumpt(locpath,dataType,var):
00122 typ = lambda x: x.split('_')[-2]
00123 if typ == 'SumPt':
00124 typ += ' distribution'
00125 rows = [[{ 'path': plot % (dataType,var), 'description': '%s faking taus %s of %s' % (datasetNames[dataType],typ(plot), var),'draw': {'drawopts': "e"}} for plot in row] for row in layoutSizeSumpt]
00126 strow = ',\n\t'.join([row.__repr__() for row in rows])
00127 return stdFill.substitute(locpath=locpath,rows=strow)
00128
00129 variables = {'a%s':'pt','b%s':'pileup','c%s':'eta','d%s':'phi'}
00130 sumVar = dict( zip(string.letters,[elem for elem in ['signalPFCands','isolationPFChargedHadrCands','isolationPFGammaCands','isolationPFNeutrHadrCands'] ]) )
00131
00132
00133
00134
00135
00136 toAdd = [ layDefaults('SingleMu/00%s - Fake rate from muons vs %s' % item,'RealMuonsData',item[1]) for item in variables.items() ]
00137 toAdd.extend( [ muRej('SingleMu/01%s - Muon rejection fake rate vs %s' % (item[0]%'',item[1]),item[1]) for item in variables.items() ] )
00138 toAdd.extend( [ layDefaults('SingleMu/02%s - Fake rate from jets vs %s' % item,'RealData',item[1]) for item in variables.items() ] )
00139 toAdd.extend( [ sizeSumpt('SingleMu/03%s - Distributions of size and sumPt for %s, %s faking taus' % (item[0], item[1],datasetNames['RealMuonsData']),'RealMuonsData',item[1]) for item in sumVar.items() ] )
00140 toAdd.extend( [ sizeSumpt('SingleMu/04%s - Distributions of size and sumPt for %s, %s faking taus' % (item[0], item[1],datasetNames['RealData']),'RealData',item[1]) for item in sumVar.items() ] )
00141
00142
00143
00144
00145 toAdd.extend([ layDefaults('Jet/00%s - Fake rate from jets vs %s' % item,'RealData',item[1]) for item in variables.items() ] )
00146 toAdd.extend( [ sizeSumpt('Jet/01%s - Distributions of size and sumPt for %s, %s faking taus' % (item[0], item[1],datasetNames['RealData']),'RealData',item[1]) for item in sumVar.items() ] )
00147
00148
00149
00150
00151 toAdd.extend([ layDefaults('DoubleElectron_OR_TauPlusX/00%s - Fake rate from electrons vs %s' % item,'RealElectronsData',item[1]) for item in variables.items() ] )
00152 toAdd.extend( [ eleRej('DoubleElectron_OR_TauPlusX/01%s - Electron rejection fake rate vs %s' % (item[0].replace('%s',''),item[1]),item[1]) for item in variables.items() ] )
00153 toAdd.extend( [ sizeSumpt('DoubleElectron_OR_TauPlusX/04%s - Distributions of size and sumPt for %s, %s faking taus' % (item[0], item[1],datasetNames['RealElectronsData']),'RealElectronsData',item[1]) for item in sumVar.items() ] )
00154
00155 layout = open('pftatau_T0_layouts.py','w')
00156 layout.write(layoutString % '\n'.join(toAdd) )
00157 layout.close()