Exemplo n.º 1
0
            sample_dic["data"].df = sample_df["data"][(sample_df["data"].bkg<cut)]
            datah = createHisto(sample_dic["data"], var,norm = sample_dic["data"].norm , over = overflow_underflow)[0]
      
            
            '''
            #factor obsolete
            if (over == True and fac == True):
                factor = (histos[0].Integral()+histos[0].GetBinContent(0)+histos[0].GetBinContent(var.nbins+1))/(histos[1].Integral()+histos[1].GetBinContent(0)+histos[1].GetBinContent(var.nbins+1))
            elif (over == False and fac == True):
                factor = histos[0].Integral() / histos[1].Integral()

            else:
                factor = 1
            '''
            makeStack(datah, histos, var, addFileName = "Pass_cut"+cutStr, rootFile = True, ratioPad = False,  path = pathDir)
            

            addShapeUncHisto(sample_dic["mu"], var, sample_dic["mu"].df["ctau_weight_up"], sample_dic["mu"].df["ctau_weight_down"], addFileName = "Pass_cut"+cutStr)
            addShapeUncHisto(sample_dic["tau"], var, sample_dic["tau"].df["ctau_weight_up"], sample_dic["tau"].df["ctau_weight_down"], addFileName = "Pass_cut"+cutStr)

            create_datacard_signal(datah.Integral(),histos, dat_name = var.name+"_Pass")
            
            makeStack(datah0, histos0, var, addFileName = "Fail_cut"+cutStr, rootFile = True, ratioPad = False,  path = pathDir)

            addShapeUncHisto(sample_dic["mu"], var, sample_dic["mu"].df["ctau_weight_up"], sample_dic["mu"].df["ctau_weight_down"], addFileName = "Fail_cut"+cutStr)
            addShapeUncHisto(sample_dic["tau"], var, sample_dic["tau"].df["ctau_weight_up"], sample_dic["tau"].df["ctau_weight_down"], addFileName = "Fail_cut"+cutStr)
            
            create_datacard_control(datah0.Integral(),histos0,dat_name = var.name+"_Fail")

            with open(pathDir+"/info.txt","w") as info:
Exemplo n.º 2
0
    print("data",histo_d.Integral())
    makeSinglePlot(histo_d, var, sample_coll[-1])


    his_c=f.Get("shapes_fit_s/control/mc_comb")
    histo_c= ROOT.TH1F("mc_comb","mc_comb", var.nbins, var.xmin, var.xmax)
    for i in range(1,his_c.GetNbinsX()+1):
        histo_c.SetBinContent(i,his_c.GetBinContent(i))
        histo_c.SetBinError(i,his_c.GetBinError(i))

    makeSinglePlot(histo_c, var, sample_coll[3])


    print("comb",histo_c.Integral())
    makeStack(histo_d,[histo_m, histo_t, histo_x, histo_c], var, path = 'fitPlt',fit=False)



    if(asimov):
        fw=ROOT.TFile.Open("root_files/asimov_file_"+var.name+".root","RECREATE")
        histo_m.SetName("mc_mu")
        histo_t.SetName("mc_tau")
        histo_x.SetName("mis_id")
        histo_c.SetName("mc_comb")
        histo_data = ROOT.TH1F("data_obs","data_obs", var.nbins, var.xmin, var.xmax)
        for i in range(1,histo_data.GetNbinsX()+1):
            histo_data.SetBinContent(i,histo_m.GetBinContent(i) + histo_t.GetBinContent(i) + histo_x.GetBinContent(i) + histo_c.GetBinContent(i))
            histo_data.SetBinError(i,math.sqrt(histo_data.GetBinContent(i)))

        fw.cd()
Exemplo n.º 3
0
                            norm=sample_dic["data"].norm,
                            over=overflow_underflow)[0]
        '''
            #factor obsolete
            if (over == True and fac == True):
                factor = (histos[0].Integral()+histos[0].GetBinContent(0)+histos[0].GetBinContent(var.nbins+1))/(histos[1].Integral()+histos[1].GetBinContent(0)+histos[1].GetBinContent(var.nbins+1))
            elif (over == False and fac == True):
                factor = histos[0].Integral() / histos[1].Integral()

            else:
                factor = 1
            '''
        makeStack(datah,
                  histos,
                  var,
                  addFileName="Pass_cut" + cutStr,
                  rootFile=True,
                  ratioPad=False,
                  path=pathPassFail,
                  rootPath="rootFiles/" + flag + "_cut" + cutStr)

        addShapeUncHisto(sample_dic["mu"],
                         var,
                         sample_dic["mu"].df["ctau_weight_up"],
                         sample_dic["mu"].df["ctau_weight_down"],
                         addFileName="Pass_cut" + cutStr)
        addShapeUncHisto(sample_dic["tau"],
                         var,
                         sample_dic["tau"].df["ctau_weight_up"],
                         sample_dic["tau"].df["ctau_weight_down"],
                         addFileName="Pass_cut" + cutStr)
Exemplo n.º 4
0
        for i in range(1, histo.GetNbinsX() + 1):
            histo_new.SetBinContent(i, histo.GetBinContent(i))
            histo_new.SetBinError(i, histo.GetBinError(i))
        #histo_new.Scale(scale)
        print("INTEGRAL" + sname, histo_new.Integral())
        histos.append(histo_new)

    #DATA
    his_d = f.Get("shapes_fit_s/" + directoryName + "/data")
    histo_d = ROOT.TH1F("data", "data", var.nbins, var.xmin, var.xmax)
    for i in range(0, his_d.GetN()):
        histo_d.SetBinContent(i + 1, his_d.GetPointY(i))
        #    histo_d.Scale(scale)
    print("data", histo_d.Integral())

    makeStack(histo_d,
              histos,
              var,
              path=pathDir,
              fit=True,
              addFileName='post_fit_' + directoryName)

f.Close()

if (saveonwww):
    print("Sinc with the website...")
    os.system(
        "rsync -aP www/" + flag +
        "/postFit/ [email protected]:/afs/cern.ch/user/f/friti/eos/www/" +
        flag + "/postFit/.")