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)
