Exemple #1
0
            'DY': 'Misid. rate prediction'
        })
        legendbox = [0.5, 0.5, 0.92, 0.9]
        extracmstext = 'Preliminary'
        extrainfos = []
        if process == 'DY': extrainfos = ['Drell-Yan simulation']
        if process == 'TT': extrainfos = ['t#bar{t} simulation']

        hp.plotdatavsmc(os.path.join(outdir, var + '_' + instancename),
                        observedhist,
                        predictedhists,
                        mcsysthist=predictedsyst,
                        datalabel='MC Obs.',
                        p2yaxtitle='#frac{MC Obs.}{Pred.}',
                        colormap=colormap,
                        labelmap=labelmap,
                        xaxtitle=xaxtitle,
                        yaxtitle=yaxtitle,
                        lumi=lumi,
                        p1legendncols=1,
                        p1legendbox=legendbox,
                        extracmstext=extracmstext,
                        extrainfos=extrainfos)
        hp.plotdatavsmc(os.path.join(outdir,
                                     var + '_' + instancename + '_log'),
                        observedhist,
                        predictedhists,
                        mcsysthist=predictedsyst,
                        datalabel='MC Obs.',
                        p2yaxtitle='#frac{MC Obs.}{Pred.}',
                        colormap=colormap,
                extracmstext = 'Preliminary'
                extrainfos = []
                extrainfos.append('{} {}'.format(year, flavour))
                extrainfos.append('pT: {}, eta: {}, {}'.format(
                    ptbin, etabin, ftype))
                extrainfos.append('prefit')
                colormap = {}
                colormap['Prompt'] = ROOT.kAzure + 1
                colormap['Nonprompt'] = ROOT.kRed - 7
                figname = os.path.join(thisbin + '_prefit')
                hp.plotdatavsmc(figname,
                                datahist, [prompthist, nonprompthist],
                                datalabel='Data',
                                p2yaxtitle='#frac{Data}{Pred.}',
                                colormap=colormap,
                                xaxtitle=xaxtitle,
                                yaxtitle=yaxtitle,
                                lumi=lumi,
                                extracmstext=extracmstext,
                                extrainfos=extrainfos,
                                infosize=15)
                # write the histograms to a temporary file
                tempfilename = thisbin + '_histograms.root'
                f = ROOT.TFile.Open(tempfilename, 'recreate')
                prompthist.Write()
                nonprompthist.Write()
                datahist.Write()
                f.Close()
                prefitnp = nonprompthist.Integral()

                ### run combine fit
Exemple #3
0
        yaxtitle = datahist.GetYaxis().GetTitle()
        lumimap = {'all': 137600, '2016': 36300, '2017': 41500, '2018': 59700}
        lumi = lumimap[year]
        extracmstext = 'Preliminary'
        extrainfos = [trigger]
        colormap = {}
        colormap['WJets'] = ROOT.kAzure + 1
        colormap['TT'] = ROOT.kCyan + 1
        colormap['DY'] = ROOT.kBlue + 1
        colormap['VV'] = ROOT.kCyan - 7
        legendbox = [0.7, 0.5, 0.9, 0.9]

        # make the plot
        hp.plotdatavsmc(
            os.path.join(outputdir, trigger),
            datahist,
            prompthists,
            mcsysthist=systunchist,
            datalabel='Data',
            p2yaxtitle='#frac{Data}{Pred.}',
            colormap=colormap,
            #labelmap=labelmap,
            xaxtitle=xaxtitle,
            yaxtitle=yaxtitle,
            lumi=lumi,
            p1legendncols=1,
            p1legendbox=legendbox,
            extracmstext=extracmstext,
            extrainfos=extrainfos,
            infosize=15)