stack.Add(sig)
bkgTrue.Scale(1., 'width')
bkgTrue.SetLineColor(ROOT.kGreen + 2)
bkgTrue.SetLineWidth(2)
fakeTrue.Scale(fakeNorm / fakeTrue.GetSumOfWeights(), 'width')
fakeTrue.SetLineColor(ROOT.kRed + 2)
fakeTrue.SetLineWidth(2)
sigTrue.Scale(sigScale, 'width')
sigTrue.SetLineColor(ROOT.kBlue + 2)
sigTrue.SetLineWidth(2)
data.SetMarkerStyle(8)
data.SetLineColor(ROOT.kBlack)
data.SetLineWidth(1)
canvas.title = '#sigma#timesBR = %.2f, N_{fake} = %.0f' % (originalMu *
sigScale, fakeNorm)
canvas.xtitle = 'm_{T} (GeV)'
canvas.ytitle = 'Events / GeV'
canvas.addHistogram(stack, drawOpt='HIST')
canvas.addHistogram(bkgTrue, drawOpt='HIST')
canvas.addHistogram(fakeTrue, drawOpt='HIST')
canvas.addHistogram(sigTrue, drawOpt='HIST')
canvas.addHistogram(data, drawOpt='EP')
canvas.printWeb('monophoton/fakemet', name, logy=False)
if y > 5.:
y = 5.
if y < -5.:
y = -5.
graph.SetPoint(ip, x, y)
graph.SetTitle('')
outputFile.cd()
graph.Write('%s_%s' % (sigs, faken))
graphs.append(graph)
canvas.legend.apply('n%s' % faken, graph)
canvas.addHistogram(graph, drawOpt='P')
canvas.addLine(-5., 0., 5., 0., style=ROOT.kDashed)
canvas.addLine(0., -5., 0., 5., style=ROOT.kDashed)
canvas.xlimits = (-5., 5.)
canvas.ylimits = (-5., 5.)
canvas.title = '#sigma#timesBR = %.2f' % mu
canvas.xtitle = 'Fake E_{T}^{miss}: (N_{fit} - N_{true})/#sigma_{fit}'
canvas.ytitle = 'Signal: (N_{fit} - N_{true})/#sigma_{fit}'
canvas.printWeb('monophoton/fakemet', sourceName + '_' + sigs, logy=False)
canvas.Clear()
outputFile.Close()
