scalingPb = 1000. models = [('mu_ZprimeMadGraph_CMSSW428.root', 'el_ZprimeMadGraph_CMSSW428.root', 1.72, "Z'", 'Zprime', kCyan+2, 49998), ('mu_TechnicolorPythia_CMSSW428.root', 'el_TechnicolorPythia_CMSSW428.root', 1.58, 'Technicolor', 'Technicolor', kYellow+2, 49800), ('mu_WH150qq_CMSSW428.root', 'el_WH150qq_CMSSW428.root', 0.0125, 'WH/ZH', 'WH', kMagenta+2, 50000*1.24669/1.45611), ('', '', 1.0, 'generic Gaussian', 'gaus', kBlue+2, 2.*scalingPb) ] hists = [] HiggsEff = 0. genGaus = TF1('genGaus', 'TMath::Gaus(x, [0], [1])', fitterPars.minMass, fitterPars.maxMass) genGaus.SetParameters(150., 150.*0.1) for model in models: N = 0. tmpHist = fitUtils.newEmptyHist(model[4]+'_combined') if fitterPars.includeMuons: if len(model[0]) > 0: thehist = fitUtils.File2Hist(fitterPars.NewPhysicsDirectory + \ model[0], model[4] + '_mu', False, 1, False) else: thehist = fitUtils.newEmptyHist(model[4]+'_mu') thehist.FillRandom('genGaus', 100000) thehist.Scale(model[2]*scalingPb*HiggsEff/thehist.Integral()) thehist.Print() tmpHist.Add(thehist) N += model[6]/2. if fitterPars.includeElectrons: if len(model[1]) > 0: thehist = fitUtils.File2Hist(fitterPars.NewPhysicsDirectory + model[1],
fitter4.make4BodyPdf(theFitter) fitter4.loadParameters('lastSigYield.txt') ## assert(False) ## fitter4.getWorkSpace().Print() mf4 = fitter4.stackedPlot(False, RooWjjMjjFitter.mlnujj) mf4.SetName("Mlvjj_Stacked") ## sf4 = fitter4.residualPlot(mf4, "h_background", "dibosonPdf", False) pf4 = fitter4.residualPlot(mf4, "h_total", "", True) pf4.SetName("Mlvjj_Pull") lf4 = fitter4.stackedPlot(True, RooWjjMjjFitter.mlnujj) lf4.SetName("Mlvjj_log") fitUtils = RooWjjFitterUtils(pars4) HiggsHist = fitUtils.newEmptyHist('HWW%i_%s_shape' % (opts.mH,modeString)) VBFHiggsHist = fitUtils.newEmptyHist('VBFHWW%i_%s_shape' % (opts.mH, modeString)) TauNuHiggsHist = fitUtils.newEmptyHist('HWWTauNu%i_%s_shape' % (opts.mH, modeString)) if pars4.includeMuons: thehist = fitUtils.File2Hist(fitterPars.MCDirectory + \ 'mu_HWWMH%i_CMSSW428.root' % (opts.mH), 'HWW%i_mu' % (opts.mH), False, 1, False) HiggsHist.Add(thehist) thehist = fitUtils.File2Hist(fitterPars.MCDirectory + \ 'mu_VBFHWWMH%i_CMSSW428.root' % (opts.mH), 'VBFHWW%i_mu' % (opts.mH), False, 1, False) VBFHiggsHist.Add(thehist) thehist = fitUtils.File2Hist(fitterPars.MCDirectory + \
('mu_TechnicolorPythia_CMSSW428.root', 'el_TechnicolorPythia_CMSSW428.root', 1.58, 'Technicolor', 'Technicolor', kYellow + 2, 49800), ('mu_WH150qq_CMSSW428.root', 'el_WH150qq_CMSSW428.root', 0.0125, 'WH/ZH', 'WH', kMagenta + 2, 50000 * 1.24669 / 1.45611), ('', '', 1.0, 'generic Gaussian', 'gaus', kBlue + 2, 2. * scalingPb) ] hists = [] HiggsEff = 0. genGaus = TF1('genGaus', 'TMath::Gaus(x, [0], [1])', fitterPars.minMass, fitterPars.maxMass) genGaus.SetParameters(150., 150. * 0.1) for model in models: N = 0. tmpHist = fitUtils.newEmptyHist(model[4] + '_combined') if fitterPars.includeMuons: if len(model[0]) > 0: thehist = fitUtils.File2Hist(fitterPars.NewPhysicsDirectory + \ model[0], model[4] + '_mu', False, 1, False) else: thehist = fitUtils.newEmptyHist(model[4] + '_mu') thehist.FillRandom('genGaus', 100000) thehist.Scale(model[2] * scalingPb * HiggsEff / thehist.Integral()) thehist.Print() tmpHist.Add(thehist) N += model[6] / 2. if fitterPars.includeElectrons: if len(model[1]) > 0: thehist = fitUtils.File2Hist(
def qPlot(fitterPars): from ROOT import kRed, kBlack, kGreen, kOrange, kMagenta, kCyan, THStack, \ RooWjjMjjFitter, RooWjjFitterUtils, TCanvas fitUtils = RooWjjFitterUtils(fitterPars) theFitter = RooWjjMjjFitter(fitterPars) thePdf = theFitter.makeFitter(False) theFitter.loadParameters(fitterPars.initParamsFile) theFitter.getWorkSpace().Print() q = theFitter.getWorkSpace().var(fitterPars.var) q.SetTitle("Q = m_{l#nujj}-m_{jj}-M_{W}") pdfs = thePdf.pdfList() coefs = thePdf.coefList() shapeHist = THStack('shapeHist', 'shapeHist') sumYield = 0. for i in range(pdfs.getSize()-1, -1, -1): tmpHist = pdfs[i].createHistogram('h_' + pdfs[i].GetName(), q) theName = pdfs[i].GetName()[:3] tmpHist.SetFillStyle(1001) if theName == 'dib': tmpHist.SetFillColor(kOrange) tmpHist.SetLineColor(kOrange) elif theName == 'WpJ': tmpHist.SetFillColor(kRed) tmpHist.SetLineColor(kRed) elif theName == 'ttP': tmpHist.SetFillColor(kBlack) tmpHist.SetLineColor(kBlack) elif theName == 'stP': tmpHist.SetFillColor(kBlack) tmpHist.SetLineColor(kBlack) elif theName == 'qcd': tmpHist.SetFillColor(kGreen) tmpHist.SetLineColor(kGreen) elif theName == 'ZpJ': tmpHist.SetFillColor(kMagenta) tmpHist.SetLineColor(kMagenta) ## tmpHist.Draw() ## gPad.Update() ## gPad.WaitPrimitive() tmpHist.Scale(coefs[i].getVal()) sumYield += coefs[i].getVal() if (coefs[i].getVal() > 0.): shapeHist.Add(tmpHist) totalShapeHist = thePdf.createHistogram("totalShapeHist", q) totalShapeHist.Print() dataHist = fitUtils.newEmptyHist("theData") if fitterPars.includeMuons: tmpHist = fitUtils.File2Hist(fitterPars.DataDirectory+fitterPars.muonData, "tmpData", False, 0, False, 1.0, fitUtils.fullCuts()) dataHist.Add(tmpHist) if fitterPars.includeElectrons: tmpHist = fitUtils.File2Hist(fitterPars.DataDirectory+fitterPars.electronData, "tmpData", True, 0, False, 1.0, fitUtils.fullCuts()) dataHist.Add(tmpHist) totalShapeHist.Scale(sumYield) ## shapeHist.SetLineColor(kCyan+3) ## shapeHist.SetMarkerColor(kCyan+3) cq = TCanvas('cq', 'Q') shapeHist.Draw('') shapeHist.GetXaxis().SetTitle(q.GetTitle() + ' (GeV)') shapeHist.GetYaxis().SetTitle('Events / (%0.0f GeV)' % ((fitterPars.maxMass-fitterPars.minMass)/fitterPars.nbins)) dataHist.Draw('same') cq.Modified() #totalShapeHist.Draw('same') dataHist.Chi2Test(totalShapeHist,"UUNORMP") print "KS test:",dataHist.KolmogorovTest(totalShapeHist) return (cq, shapeHist, totalShapeHist)
def qPlot(fitterPars): from ROOT import kRed, kBlack, kGreen, kOrange, kMagenta, kCyan, THStack, \ RooWjjMjjFitter, RooWjjFitterUtils, TCanvas fitUtils = RooWjjFitterUtils(fitterPars) theFitter = RooWjjMjjFitter(fitterPars) thePdf = theFitter.makeFitter(False) theFitter.loadParameters(fitterPars.initParamsFile) theFitter.getWorkSpace().Print() q = theFitter.getWorkSpace().var(fitterPars.var) q.SetTitle("Q = m_{l#nujj}-m_{jj}-M_{W}") pdfs = thePdf.pdfList() coefs = thePdf.coefList() shapeHist = THStack('shapeHist', 'shapeHist') sumYield = 0. for i in range(pdfs.getSize() - 1, -1, -1): tmpHist = pdfs[i].createHistogram('h_' + pdfs[i].GetName(), q) theName = pdfs[i].GetName()[:3] tmpHist.SetFillStyle(1001) if theName == 'dib': tmpHist.SetFillColor(kOrange) tmpHist.SetLineColor(kOrange) elif theName == 'WpJ': tmpHist.SetFillColor(kRed) tmpHist.SetLineColor(kRed) elif theName == 'ttP': tmpHist.SetFillColor(kBlack) tmpHist.SetLineColor(kBlack) elif theName == 'stP': tmpHist.SetFillColor(kBlack) tmpHist.SetLineColor(kBlack) elif theName == 'qcd': tmpHist.SetFillColor(kGreen) tmpHist.SetLineColor(kGreen) elif theName == 'ZpJ': tmpHist.SetFillColor(kMagenta) tmpHist.SetLineColor(kMagenta) ## tmpHist.Draw() ## gPad.Update() ## gPad.WaitPrimitive() tmpHist.Scale(coefs[i].getVal()) sumYield += coefs[i].getVal() if (coefs[i].getVal() > 0.): shapeHist.Add(tmpHist) totalShapeHist = thePdf.createHistogram("totalShapeHist", q) totalShapeHist.Print() dataHist = fitUtils.newEmptyHist("theData") if fitterPars.includeMuons: tmpHist = fitUtils.File2Hist( fitterPars.DataDirectory + fitterPars.muonData, "tmpData", False, 0, False, 1.0, fitUtils.fullCuts()) dataHist.Add(tmpHist) if fitterPars.includeElectrons: tmpHist = fitUtils.File2Hist( fitterPars.DataDirectory + fitterPars.electronData, "tmpData", True, 0, False, 1.0, fitUtils.fullCuts()) dataHist.Add(tmpHist) totalShapeHist.Scale(sumYield) ## shapeHist.SetLineColor(kCyan+3) ## shapeHist.SetMarkerColor(kCyan+3) cq = TCanvas('cq', 'Q') shapeHist.Draw('') shapeHist.GetXaxis().SetTitle(q.GetTitle() + ' (GeV)') shapeHist.GetYaxis().SetTitle( 'Events / (%0.0f GeV)' % ((fitterPars.maxMass - fitterPars.minMass) / fitterPars.nbins)) dataHist.Draw('same') cq.Modified() #totalShapeHist.Draw('same') dataHist.Chi2Test(totalShapeHist, "UUNORMP") print "KS test:", dataHist.KolmogorovTest(totalShapeHist) return (cq, shapeHist, totalShapeHist)