Пример #1
0
def plotPulls(optunf="Bayes",
              ntest=10,
              leff=True,
              loufl=False,
              optfun="exp",
              opttfun="",
              gmean=-1.0,
              nrebin=4):

    if opttfun == "":
        opttfun = optfun

    if optfun == "blobel":
        gmean = 0.0

    funttxt, funtxt = funtxts(opttfun, optfun, leff, loufl)

    global histos, canv, canv2
    histos = []

    canv = TCanvas("canv", "thruth vs reco pulls", 600, 800)
    canv.Divide(1, 3)
    canv2 = TCanvas("canv2", "P(chi^2)", 600, 800)
    canv2.Divide(2, 3)

    if optunf == "BasisSplines":
        bininfo = BinInfo(nrebin)
        unfoldtester = UnfoldTester(optunf, nrebin)
    else:
        bininfo = BinInfo()
        unfoldtester = UnfoldTester(optunf)
    trainer = Trainer(bininfo, opttfun, optfun)
    tester = Tester(bininfo, optfun)
    hbininfo = bininfo.create(optfun)
    dx = hbininfo["mhi"]
    for sigma, ipad in [[0.01 * dx, 1], [0.03 * dx, 2], [0.1 * dx, 3]]:
        txt = optunf + ", smear mu, s.d.= " + str(gmean) + ", " + str(
            sigma) + ", train: " + funttxt + ", test: " + funtxt + ", " + str(
                ntest) + " tests"
        hPulls = TProfile("pulls", txt, hbininfo["tbins"], hbininfo["tlo"],
                          hbininfo["thi"])
        hPulls.SetErrorOption("s")
        hPulls.SetYTitle("Thruth reco pull")
        histos.append(hPulls)
        hChisq = TH1D("chisq", "P(chi^2) rec " + txt, 10, 0.0, 1.0)
        hChisqm = TH1D("chisqm", "P(chi^2) mea " + txt, 10, 0.0, 1.0)
        histos.append(hChisq)
        histos.append(hChisqm)
        measurement = createMeasurement(gmean, sigma, leff, optfun)
        response = trainer.train(measurement, loufl=loufl)
        for itest in range(ntest):
            print "Test", itest
            unfold, hTrue, hMeas = unfoldtester.rununfoldtest(
                tester, measurement, response)
            unfold.PrintTable(cout, hTrue, 2)
            hReco = unfold.Hreco(2)
            nbin = hReco.GetNbinsX()
            if hbininfo["nrebin"] > 1:
                hTrue = hTrue.Rebin(nrebin)
            for ibin in range(nbin + 1):
                truevalue = hTrue.GetBinContent(ibin)
                recvalue = hReco.GetBinContent(ibin)
                error = hReco.GetBinError(ibin)
                if error > 0.0:
                    pull = (recvalue - truevalue) / error
                    hPulls.Fill(hReco.GetBinCenter(ibin), pull)
            chisq = unfold.Chi2(hTrue, 2)
            hChisq.Fill(TMath.Prob(chisq, hTrue.GetNbinsX()))
            chisqm = unfold.Chi2measured()
            pchisqm = TMath.Prob(chisqm, hMeas.GetNbinsX() - hReco.GetNbinsX())
            print "Chisq measured=", chisqm, "P(chi^2)=", pchisqm
            hChisqm.Fill(pchisqm)

        canv.cd(ipad)
        gStyle.SetErrorX(0)
        hPulls.SetMinimum(-3.0)
        hPulls.SetMaximum(3.0)
        hPulls.SetMarkerSize(1.0)
        hPulls.SetMarkerStyle(20)
        hPulls.SetStats(False)
        hPulls.Draw()
        canv2.cd(ipad * 2 - 1)
        hChisq.Draw()
        canv2.cd(ipad * 2)
        hChisqm.Draw()

    fname = "RooUnfoldTestPulls_" + optunf + "_" + opttfun + "_" + optfun
    if loufl:
        fname += "_oufl"
    canv.Print(fname + ".pdf")
    fname = "RooUnfoldTestChisq_" + optunf + "_" + opttfun + "_" + optfun
    if loufl:
        fname += "_oufl"
    canv2.Print(fname + ".pdf")

    return
Пример #2
0
Ymax = 0.4
nameX = "eta"
nameY = "pT-pT(true)/pT(true)"
h = gPad.DrawFrame(Xmin, Ymin, Xmax, Ymax)
ax = h.GetXaxis()
ax.SetTitleOffset(0.8)
ax.SetTitle(nameX)
ay = h.GetYaxis()
ay.SetTitleOffset(0.8)
ay.SetTitle(nameY)
ax.SetTitleOffset(1.1)
ay.SetTitleOffset(1.4)
ax.Draw("same")
ay.Draw("same")

prof_eta.SetMarkerSize(1.1)
prof_eta.SetMarkerColor(1)
prof_eta.Draw("pe same")
prof_eta_nn.SetMarkerSize(1)
prof_eta_nn.SetMarkerColor(2)
prof_eta_nn.Draw("pe same")

out = "histo_" + outfile
hfile = TFile(out, "RECREATE", "DijetsMC")
c1.Write()
prof_eta.Write()
prof_pt.Write()

prof_eta_nn.Write()
prof_pt_nn.Write()
hfile.ls()