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 significance_cust:
plotname = 'default/{0}'.format(plot)
savename = 'significance/{0}'.format(plot)
kwargs = deepcopy(plots[plot])
if plot in significance_cust: kwargs.update(significance_cust[plot])
hpp3lPlotter.plotSignificance(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 = 'significance/{0}/{1}'.format(cat,plot)
if doCat: hpp3lPlotter.plotSignificance(plotnames,sigOrder,bgOrder,savename,**kwargs)
##############################
### all signal on one plot ###
##############################
if plotAllMasses:
hpp3lPlotter.clearHistograms()
xvals = {}
for mass in allmasses:
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 significance_cust:
plotname = 'default/{0}'.format(plot)
savename = 'significance/{0}'.format(plot)
kwargs = deepcopy(plots[plot])
if plot in significance_cust: kwargs.update(significance_cust[plot])
hpp4lPlotter.plotSignificance(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 = 'significance/{0}/{1}'.format(cat, plot)
if doCat:
hpp4lPlotter.plotSignificance(plotnames, sigOrder, bgOrder,
savename, **kwargs)
##############################
### all signal on one plot ###
##############################
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 significance_cust:
plotname = 'default/{0}'.format(plot)
savename = 'significance/{0}'.format(plot)
kwargs = deepcopy(plots[plot])
if plot in significance_cust: kwargs.update(significance_cust[plot])
hpp4lPlotter.plotSignificance(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 = 'significance/{0}/{1}'.format(cat,plot)
if doCat: hpp4lPlotter.plotSignificance(plotnames,sigOrder,bgOrder,savename,**kwargs)
##############################
### all signal on one plot ###
##############################
if plotAllMasses:
hpp4lPlotter.clearHistograms()
xvals = {}
sigOrder = []
bgOrder = []
for a in amasses:
name = signame.format(h=h,a=a)
sigOrder += [name]
bgOrder += ['datadriven']
plotter.addHistogram(name,sigMap[name],signal=True,style={'linecolor': aColors[a]})
for plot in ['kinFitChi2']:
kwargs = deepcopy(plots[plot])
kwargs['yaxis'] = 'Significance'
kwargs['rebin'] = [x*0.2 for x in range(50)]
plotname = '{}'.format(plot)
savename = '{}region{}/datadriven_from{}/{}_significance_h{}'.format(tag+'/' if tag else '',region,source,plot,h)
if looseMVA: savename = '{}region{}/datadriven_from{}{:.1f}/{}_significiance_h{}'.format(tag+'/' if tag else '',region,source,looseMVA,plot,h)
plotter.plotSignificance(getDatadrivenPlot(plotname,region=region,source=source,looseMVA=looseMVA,tag=tag),sigOrder,bgOrder,savename,**kwargs)
def getMatrixDatadrivenPlot(*plots,**kwargs):
region = kwargs.pop('region','A')
sources = kwargs.pop('sources',['A','C'])
fakeRegion = kwargs.pop('region','B')
fakeSources = kwargs.pop('sources',['B','D'])
tag = kwargs.pop('tag',None)
doPrompt = kwargs.pop('doPrompt',True)
doFake = kwargs.pop('doFake',False)
histMap = {}
for s in samples+signals+['data','matP','matF']: histMap[s] = []
for plot in plots:
#aplot = '{}region{}/{}'.format(tag+'/' if tag else '',region,plot)
