'TTV' : ['TTWJetsToLNu_TuneCUETP8M1_13TeV-amcatnloFXFX-madspin-pythia8'],
'ZG' : ['ZGTo2LG_TuneCUETP8M1_13TeV-amcatnloFXFX-pythia8'],
'WW' : ['WWTo2L2Nu_13TeV-powheg'],
'Z' : ['DYJetsToLL_M-50_TuneCUETP8M1_13TeV-amcatnloFXFX-pythia8',
'DYJetsToLL_M-10to50_TuneCUETP8M1_13TeV-amcatnloFXFX-pythia8'],
'TT' : ['TTJets_TuneCUETP8M1_13TeV-amcatnloFXFX-pythia8'],
'data': ['DoubleMuon',
'DoubleEG',
'MuonEG',
'SingleMuon',
'SingleElectron'],
'HppHmm500GeV' : ['HPlusPlusHMinusMinusHTo4L_M-500_13TeV-pythia8'],
}
mPlotter.addHistogram('HppHmm500GeV',sigMap['HppHmm500GeV'])
plots = {
'pt_v_dxy': {'xaxis':'p_{T} (GeV)', 'yaxis': '|#Delta_{xy}|'},
'pt_v_dz' : {'xaxis':'p_{T} (GeV)', 'yaxis': '|#Delta_{z}|'},
}
for plot,kwargs in plots.iteritems():
mPlotter.plot2D(plot,'hpp_{0}'.format(plot),logz=0,**kwargs)
mPlotter.clearHistograms()
mPlotter.addHistogram('Z',sigMap['Z'])
for plot,kwargs in plots.iteritems():
mPlotter.plot2D(plot,'dy_{0}'.format(plot),logz=1,**kwargs)
'regionC': 'highmass/regionC_fakeForA/{}'.format(plot),
'regionD': 'highmass/regionD_fakeForA/{}'.format(plot),
}
savename = 'highmass/regions_datadriven/{}_{}'.format(plot, s)
plotter.plot(plotname, savename, **kwargs)
savename = 'highmass/regions_datadriven_normalized/{}_{}'.format(
plot, s)
plotter.plotNormalized(plotname, savename, **kwargs)
################
### 2D plots ###
################
if do2D:
allsamples = samples + signals + ['data']
if doAllSignals:
allsamples = samples + allsignals + ['data']
for sample in allsamples:
plotter.clearHistograms()
plotter.addHistogram(sample, sigMap[sample])
for plot in plots2D:
for sel in sels:
#if sample=='data' and blind and 'regionD' not in sel: continue
kwargs = deepcopy(plots2D[plot])
#if sample not in allsignals:
# kwargs['rebinx'] = 10
# kwargs['rebiny'] = 10
plotname = '{0}/{1}'.format(sel, plot)
savename = '{0}/2D/{1}/{2}'.format(sel, sample, plot)
plotter.plot2D(plotname, savename, **kwargs)
plotter.plotNormalized(plotname,savename,**kwargs)
################
### 2D plots ###
################
if do2D:
allsamples = signals+['data']
if doAllSignals:
allsamples = allsignals+['data']
for sample in allsamples:
plotter.clearHistograms()
plotter.addHistogram(sample,sigMap[sample])
for plot in plots2D:
thesels = signalsels if sample in allsignals else sels
for sel in thesels:
#if sample=='data' and blind and 'regionD' not in sel: continue
kwargs = deepcopy(plots2D[plot])
#if sample not in allsignals:
# kwargs['rebinx'] = 10
# kwargs['rebiny'] = 10
plotname = '{0}/{1}'.format(sel,plot)
savename = '{0}/2D/{1}/{2}'.format(sel,sample,plot)
plotter.plot2D(plotname,savename,**kwargs)
