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)