hpp4lPlotter.addHistogram('BG',allSamplesDict['BG'])
sigOrder = []
bgOrder = []
for mass in masses:
name = 'HppHmm{0}GeV'.format(mass)
sigOrder += [name]
bgOrder += ['BG']
hpp4lPlotter.addHistogram(name,sigMap[name],signal=True,style={'linecolor': sigColors[mass]})
for plot in sOverB_cust:
plotname = 'default/{0}'.format(plot)
savename = 'sOverB/{0}'.format(plot)
kwargs = deepcopy(plots[plot])
if plot in sOverB_cust: kwargs.update(sOverB_cust[plot])
hpp4lPlotter.plotSOverB(plotname,sigOrder,bgOrder,savename,**kwargs)
for cat in cats:
plotnames = []
for subcat in subCatChannels[cat]:
plotnames += ['default/{0}/{1}'.format(chan,plot) for chan in subCatChannels[cat][subcat]]
savename = 'sOverB/{0}/{1}'.format(cat,plot)
if doCat: hpp4lPlotter.plotSOverB(plotnames,sigOrder,bgOrder,savename,**kwargs)
if plotSignificance:
hpp4lPlotter.clearHistograms()
hpp4lPlotter.addHistogram('BG',allSamplesDict['BG'])
sigOrder = []
bgOrder = []
for mass in masses:
name = 'HppHmm{0}GeV'.format(mass)
hpp3lPlotter.addHistogram('BG',allSamplesDict['BG'])
sigOrder = []
bgOrder = []
for mass in masses:
name = 'HppHm{0}GeV'.format(mass)
sigOrder += [name]
bgOrder += ['BG']
hpp3lPlotter.addHistogram(name,sigMap[name],signal=True,style={'linecolor': sigColors[mass]})
for plot in sOverB_cust:
plotname = 'default/{0}'.format(plot)
savename = 'sOverB/{0}'.format(plot)
kwargs = deepcopy(plots[plot])
if plot in sOverB_cust: kwargs.update(sOverB_cust[plot])
hpp3lPlotter.plotSOverB(plotname,sigOrder,bgOrder,savename,**kwargs)
for cat in cats:
plotnames = []
for subcat in subCatChannels[cat]:
plotnames += ['default/{0}/{1}'.format(chan,plot) for chan in subCatChannels[cat][subcat]]
savename = 'sOverB/{0}/{1}'.format(cat,plot)
if doCat: hpp3lPlotter.plotSOverB(plotnames,sigOrder,bgOrder,savename,**kwargs)
##########################
### Significance plots ###
##########################
if plotSignificance:
hpp3lPlotter.clearHistograms()
hpp3lPlotter.addHistogram('BG',allSamplesDict['BG'])
sigOrder = []
bgOrder = []
for mass in masses:
name = 'HppHmm{0}GeV'.format(mass)
sigOrder += [name]
bgOrder += ['BG']
hpp4lPlotter.addHistogram(name,
sigMap[name],
signal=True,
style={'linecolor': sigColors[mass]})
for plot in sOverB_cust:
plotname = 'default/{0}'.format(plot)
savename = 'sOverB/{0}'.format(plot)
kwargs = deepcopy(plots[plot])
if plot in sOverB_cust: kwargs.update(sOverB_cust[plot])
hpp4lPlotter.plotSOverB(plotname, sigOrder, bgOrder, savename,
**kwargs)
for cat in cats:
plotnames = []
for subcat in subCatChannels[cat]:
plotnames += [
'default/{0}/{1}'.format(chan, plot)
for chan in subCatChannels[cat][subcat]
]
savename = 'sOverB/{0}/{1}'.format(cat, plot)
if doCat:
hpp4lPlotter.plotSOverB(plotnames, sigOrder, bgOrder, savename,
**kwargs)
if plotSignificance:
hpp4lPlotter.clearHistograms()
