thisTrue.Draw('hist same')
thisMeas.Draw('same')
thisTrue.UseCurrentStyle()
thisTrue.SetLineColor(4)
thisTrue.GetYaxis().SetTitleSize(25)
thisTrue.GetXaxis().SetLabelSize(0)
leg = TLegend(0.5, 0.55, 0.9, 0.75)
leg.SetFillStyle(0)
leg.SetTextFont(42)
leg.SetTextSize(0.045)
leg.SetBorderSize(0)
tt = TLatex()
tt.SetNDC()
tt.SetTextFont(42)
leg.AddEntry(thisReco, 'Unfolded MC (Powheg)', 'p')
leg.AddEntry(thisTrue, 'Generated (Powheg)', 'l')
leg.AddEntry(thisMeas, 'Reco-level (Powheg)', 'p')
tt.DrawLatex(0.55, 0.45, "MC closure test")
leg.Draw()
# write histograms to file
thisReco.SetName("UnfoldedMC")
thisReco.Write()
thisTrue.Write()
thisMeas.Write()
text1 = TLatex()
text1.SetNDC()
outName[i] = testFiles[i][:-5]
outEst[i] = BGNormalization
l = TLegend(0.35, 0.70, 0.7, 0.9, "", "brNDC")
l.SetBorderSize(0)
l.SetFillColor(0)
l.SetTextSize(.03)
l.AddEntry(hist_Data, "SS Data ", "p")
l.AddEntry(outHist[i], "BG Est.(Shape from Relaxed Tau Iso.)", "lpf")
# l.AddEntry(hist_Estimation_ff, "BG Est.(both tau Iso Reverted)", "lpf")
l.Draw()
#Text in Histogram
t = TLatex()
t.SetNDC()
t.SetTextFont(62)
t.SetTextAlign(12)
t.SetTextSize(0.03)
t.DrawLatex(0.1, .92, "CMS Preliminary 2012")
t.DrawLatex(0.45, .92, "#sqrt{s} = 8 TeV, L = 19.7 fb^{-1}")
t.DrawLatex(0.80, .92, "ll#tau#tau")
# t.DrawLatex(0.5, .60, "Data, SS, 10 GeV Tau LooseIso")
# t.DrawLatex(0.5, .52, "Data = " + str(DataNormalization))
############### Tp Print Normalization in the plots
# for i in range(len(testFiles)):
# clr = i + 1
# if i == 4: clr = 7
# t.SetTextColor(clr)
# t.DrawLatex(0.5, .52-((i + 1) / 20.), outName[i] + " = " + str(outEst[i]))
canvas.SaveAs("Compare_tauFR2.pdf")
def plot1D(histname, histnum2D, histden2D, year, channel, title="", log=False):
"""Plot efficiency."""
dir = ensureDirectory('plots/%d' % year)
name = "%s/%s_%s" % (dir, histname, channel)
if log:
name += "_log"
header = ""
xtitle = 'jet p_{T} [GeV]'
ytitle = 'b tag efficiencies' if '_b_' in histname else 'b mistag rate'
xmin, xmax = 20 if log else 10, histnum2D.GetXaxis().GetXmax()
ymin, ymax = 5e-3 if log else 0.0, 2.0
colors = [kBlue, kRed, kOrange]
x1, y1 = (0.27, 0.44) if '_b_' in histname else (0.55, 0.80)
width, height = 0.3, 0.16
x2, y2 = x1 + width, y1 - height
hists = createEff1D(histnum2D, histden2D)
canvas = TCanvas('canvas', 'canvas', 100, 100, 800, 700)
canvas.SetFillColor(0)
canvas.SetBorderMode(0)
canvas.SetFrameFillStyle(0)
canvas.SetFrameBorderMode(0)
canvas.SetTopMargin(0.04)
canvas.SetBottomMargin(0.13)
canvas.SetLeftMargin(0.12)
canvas.SetRightMargin(0.05)
canvas.SetTickx(0)
canvas.SetTicky(0)
canvas.SetGrid()
gStyle.SetOptTitle(0)
if log:
canvas.SetLogx()
canvas.SetLogy()
canvas.cd()
frame = hists[0]
for i, hist in enumerate(hists):
hist.SetLineColor(colors[i % len(colors)])
hist.SetMarkerColor(colors[i % len(colors)])
hist.SetLineWidth(2)
hist.SetMarkerSize(2)
hist.SetMarkerStyle(1)
hist.Draw('PE0SAME')
frame.GetXaxis().SetTitle(xtitle)
frame.GetYaxis().SetTitle(ytitle)
frame.GetXaxis().SetLabelSize(0.048)
frame.GetYaxis().SetLabelSize(0.048)
frame.GetXaxis().SetTitleSize(0.058)
frame.GetYaxis().SetTitleSize(0.058)
frame.GetXaxis().SetTitleOffset(1.03)
frame.GetYaxis().SetTitleOffset(1.04)
frame.GetXaxis().SetLabelOffset(-0.004 if log else 0.005)
frame.GetXaxis().SetRangeUser(xmin, xmax)
frame.SetMinimum(ymin)
frame.SetMaximum(ymax)
if title:
latex = TLatex()
latex.SetTextSize(0.04)
latex.SetTextAlign(13)
latex.SetTextFont(62)
latex.SetNDC(True)
latex.DrawLatex(0.15, 0.94, title)
legend = TLegend(x1, y1, x2, y2)
legend.SetTextSize(0.04)
legend.SetBorderSize(0)
legend.SetFillStyle(0)
legend.SetFillColor(0)
if header:
legend.SetTextFont(62)
legend.SetHeader(header)
legend.SetTextFont(42)
for hist in hists:
legend.AddEntry(hist, hist.GetTitle(), 'lep')
legend.Draw()
canvas.SaveAs(name + '.pdf')
canvas.SaveAs(name + '.png')
canvas.Close()
def plot2D(histname, hist, year, channel, log=False):
"""Plot 2D efficiency."""
dir = ensureDirectory('plots/%d' % year)
name = "%s/%s_%s" % (dir, histname, channel)
if log:
name += "_log"
xtitle = 'jet p_{T} [GeV]'
ytitle = 'jet #eta'
ztitle = 'b tag efficiencies' if '_b_' in histname else 'b mistag rate'
xmin, xmax = 20, hist.GetXaxis().GetXmax()
zmin, zmax = 5e-3 if log else 0.0, 1.0
angle = 22 if log else 77
canvas = TCanvas('canvas', 'canvas', 100, 100, 800, 700)
canvas.SetFillColor(0)
canvas.SetBorderMode(0)
canvas.SetFrameFillStyle(0)
canvas.SetFrameBorderMode(0)
canvas.SetTopMargin(0.07)
canvas.SetBottomMargin(0.13)
canvas.SetLeftMargin(0.12)
canvas.SetRightMargin(0.17)
canvas.SetTickx(0)
canvas.SetTicky(0)
canvas.SetGrid()
gStyle.SetOptTitle(0) #FontSize(0.04)
if log:
canvas.SetLogx()
canvas.SetLogz()
canvas.cd()
hist.GetXaxis().SetTitle(xtitle)
hist.GetYaxis().SetTitle(ytitle)
hist.GetZaxis().SetTitle(ztitle)
hist.GetXaxis().SetLabelSize(0.048)
hist.GetYaxis().SetLabelSize(0.048)
hist.GetZaxis().SetLabelSize(0.048)
hist.GetXaxis().SetTitleSize(0.058)
hist.GetYaxis().SetTitleSize(0.058)
hist.GetZaxis().SetTitleSize(0.056)
hist.GetXaxis().SetTitleOffset(1.03)
hist.GetYaxis().SetTitleOffset(1.04)
hist.GetZaxis().SetTitleOffset(1.03)
hist.GetXaxis().SetLabelOffset(-0.004 if log else 0.005)
hist.GetZaxis().SetLabelOffset(-0.005 if log else 0.005)
hist.GetXaxis().SetRangeUser(xmin, xmax)
hist.SetMinimum(zmin)
hist.SetMaximum(zmax)
hist.Draw('COLZTEXT%d' % angle)
gStyle.SetPaintTextFormat('.2f')
hist.SetMarkerColor(kRed)
hist.SetMarkerSize(1.8 if log else 1)
#gPad.Update()
#gPad.RedrawAxis()
latex = TLatex()
latex.SetTextSize(0.048)
latex.SetTextAlign(23)
latex.SetTextFont(42)
latex.SetNDC(True)
latex.DrawLatex(0.475, 0.99,
hist.GetTitle()) # to prevent typesetting issues
canvas.SaveAs(name + '.pdf')
canvas.SaveAs(name + '.png')
canvas.Close()
def limit():
method = ''
channel = "bb"
if INCLUDEACC:
particleP = "X"
else:
particleP = "Z'"
particle = 'b#bar{b}'
multF = ZPTOBB
THEORY = ['bstar']
if INCLUDEACC: THEORY.append('SSM')
suffix = "_" + BTAGGING
if ISMC: suffix += "_MC"
if SY: suffix += "_comb"
#if method=="cls": suffix="_CLs"
if INCLUDEACC: suffix += "_acc"
if SY:
filename = "./combine/limits/bstar/" + BTAGGING + "/combined_run2/" + YEAR + "_M%d.txt"
else:
filename = "./combine/limits/bstar/" + BTAGGING + "/" + YEAR + "_M%d.txt"
if CATEGORY != "":
if SY:
filename = filename.replace(
BTAGGING + "/combined_run2/",
BTAGGING + "/single_category/combined_run2/" + CATEGORY + "_")
else:
filename = filename.replace(
BTAGGING + "/",
BTAGGING + "/single_category/" + CATEGORY + "_")
suffix += "_" + CATEGORY
if ISMC: filename = filename.replace(".txt", "_MC.txt")
mass, val = fillValues(filename)
#print "mass =",mass
#print "val =", val
Obs0s = TGraph()
Exp0s = TGraph()
Exp1s = TGraphAsymmErrors()
Exp2s = TGraphAsymmErrors()
Sign = TGraph()
pVal = TGraph()
Best = TGraphAsymmErrors()
Theory = {}
for i, m in enumerate(mass):
if not m in val:
print "Key Error:", m, "not in value map"
continue
if INCLUDEACC:
acc_factor = ACCEPTANCE[m]
else:
acc_factor = 1.
n = Exp0s.GetN()
Obs0s.SetPoint(n, m, val[m][0] * multF * acc_factor)
Exp0s.SetPoint(n, m, val[m][3] * multF * acc_factor)
Exp1s.SetPoint(n, m, val[m][3] * multF * acc_factor)
Exp1s.SetPointError(n, 0., 0.,
(val[m][3] - val[m][2]) * multF * acc_factor,
(val[m][4] - val[m][3]) * multF * acc_factor)
Exp2s.SetPoint(n, m, val[m][3] * multF * acc_factor)
Exp2s.SetPointError(n, 0., 0.,
(val[m][3] - val[m][1]) * multF * acc_factor,
(val[m][5] - val[m][3]) * multF * acc_factor)
if len(val[m]) > 6: Sign.SetPoint(n, m, val[m][6])
if len(val[m]) > 7: pVal.SetPoint(n, m, val[m][7])
if len(val[m]) > 8: Best.SetPoint(n, m, val[m][8])
if len(val[m]) > 10:
Best.SetPointError(n, 0., 0., abs(val[m][9]), val[m][10])
for t in THEORY:
Theory[t] = TGraphAsymmErrors()
if 'bstar' == t:
x = []
y = []
with open('bstar_deta1p1_lhc13TeV2.txt') as fin:
for line in fin.readlines():
x.append(float(line.split()[0]))
y.append(float(line.split()[1]) * 1000)
for ind in range(len(x)):
Theory[t].SetPoint(ind + 1, x[ind], y[ind])
Theory[t].SetLineColor(theoryLineColor[t])
Theory[t].SetFillColor(theoryFillColor[t])
Theory[t].SetFillStyle(theoryFillStyle[t])
Theory[t].SetLineWidth(2)
continue
Xs_dict = HVT[t]['Z']['XS'] if t != 'SSM' else SSM['Z']
for m in sorted(Xs_dict.keys()):
if INCLUDEACC and t != 'SSM':
acc_factor = ACCEPTANCE[m]
else:
acc_factor = 1.
if m < SIGNALS[0] or m > SIGNALS[-1]: continue
#if m < mass[0] or m > mass[-1]: continue
#if t!= 'SSM' and m>4500: continue ## I don't have the higher mass xs
if m > 4500: continue
XsZ, XsZ_Up, XsZ_Down = 0., 0., 0.
if t != 'SSM':
XsZ = 1000. * HVT[t]['Z']['XS'][m] * SSM["BrZ"][
m] #assuming the same BR as the SSM Z' one
XsZ_Up = XsZ * (1. + math.hypot(HVT[t]['Z']['QCD'][m][0] - 1.,
HVT[t]['Z']['PDF'][m][0] - 1.))
XsZ_Down = XsZ * (1. -
math.hypot(1. - HVT[t]['Z']['QCD'][m][0],
1. - HVT[t]['Z']['PDF'][m][0]))
else:
XsZ = 1000. * SSM['Z'][m] * SSM["BrZ"][m]
XsZ_Up = XsZ * (1. +
math.hypot(HVT['A1']['Z']['QCD'][m][0] - 1.,
HVT['A1']['Z']['PDF'][m][0] - 1.))
XsZ_Down = XsZ * (1. -
math.hypot(1. - HVT['A1']['Z']['QCD'][m][0],
1. - HVT['A1']['Z']['PDF'][m][0]))
n = Theory[t].GetN()
Theory[t].SetPoint(n, m, XsZ * acc_factor)
Theory[t].SetPointError(n, 0., 0., (XsZ - XsZ_Down) * acc_factor,
(XsZ_Up - XsZ) * acc_factor)
Theory[t].SetLineColor(theoryLineColor[t])
Theory[t].SetFillColor(theoryFillColor[t])
Theory[t].SetFillStyle(theoryFillStyle[t])
Theory[t].SetLineWidth(2)
#Theory[t].SetLineStyle(7)
Exp2s.SetLineWidth(2)
Exp2s.SetLineStyle(1)
Obs0s.SetLineWidth(3)
Obs0s.SetMarkerStyle(0)
Obs0s.SetLineColor(1)
Exp0s.SetLineStyle(2)
Exp0s.SetLineWidth(3)
Exp1s.SetFillColor(417) #kGreen+1
Exp1s.SetLineColor(417) #kGreen+1
Exp2s.SetFillColor(800) #kOrange
Exp2s.SetLineColor(800) #kOrange
Exp2s.GetXaxis().SetTitle("m_{" + particleP + "} (GeV)")
Exp2s.GetXaxis().SetTitleSize(Exp2s.GetXaxis().GetTitleSize() * 1.25)
Exp2s.GetXaxis().SetNoExponent(True)
Exp2s.GetXaxis().SetMoreLogLabels(True)
Exp2s.GetYaxis().SetTitle(
"#sigma(" + particleP + ") #bf{#it{#Beta}}(" + particleP +
" #rightarrow " + particle +
"){} (fb)".format(" #times #Alpha" if INCLUDEACC else ""))
Exp2s.GetYaxis().SetTitleOffset(1.5)
Exp2s.GetYaxis().SetNoExponent(True)
Exp2s.GetYaxis().SetMoreLogLabels()
Sign.SetLineWidth(2)
Sign.SetLineColor(629)
Sign.GetXaxis().SetTitle("m_{" + particleP + "} (GeV)")
Sign.GetXaxis().SetTitleSize(Sign.GetXaxis().GetTitleSize() * 1.1)
Sign.GetYaxis().SetTitle("Significance")
pVal.SetLineWidth(2)
pVal.SetLineColor(629)
pVal.GetXaxis().SetTitle("m_{" + particleP + "} (GeV)")
pVal.GetXaxis().SetTitleSize(pVal.GetXaxis().GetTitleSize() * 1.1)
pVal.GetYaxis().SetTitle("local p-Value")
Best.SetLineWidth(2)
Best.SetLineColor(629)
Best.SetFillColor(629)
Best.SetFillStyle(3003)
Best.GetXaxis().SetTitle("m_{" + particleP + "} (GeV)")
Best.GetXaxis().SetTitleSize(Best.GetXaxis().GetTitleSize() * 1.1)
Best.GetYaxis().SetTitle("Best Fit (pb)")
c1 = TCanvas("c1", "Exclusion Limits", 800, 600)
c1.cd()
#SetPad(c1.GetPad(0))
c1.GetPad(0).SetTopMargin(0.06)
c1.GetPad(0).SetRightMargin(0.05)
c1.GetPad(0).SetLeftMargin(0.12)
c1.GetPad(0).SetTicks(1, 1)
#c1.GetPad(0).SetGridx()
#c1.GetPad(0).SetGridy()
c1.GetPad(0).SetLogy()
Exp2s.Draw("A3")
Exp1s.Draw("SAME, 3")
for t in THEORY:
Theory[t].Draw("SAME, L3")
Theory[t].Draw("SAME, L3X0Y0")
Exp0s.Draw("SAME, L")
if not options.blind: Obs0s.Draw("SAME, L")
#setHistStyle(Exp2s)
Exp2s.GetXaxis().SetTitleSize(0.050)
Exp2s.GetYaxis().SetTitleSize(0.050)
Exp2s.GetXaxis().SetLabelSize(0.045)
Exp2s.GetYaxis().SetLabelSize(0.045)
Exp2s.GetXaxis().SetTitleOffset(0.90)
Exp2s.GetYaxis().SetTitleOffset(1.25)
Exp2s.GetYaxis().SetMoreLogLabels(True)
Exp2s.GetYaxis().SetNoExponent(True)
if INCLUDEACC:
Exp2s.GetYaxis().SetRangeUser(0.05, 5.e3)
else:
Exp2s.GetYaxis().SetRangeUser(0.1, 5.e3)
#else: Exp2s.GetYaxis().SetRangeUser(0.1, 1.e2)
#Exp2s.GetXaxis().SetRangeUser(mass[0], min(mass[-1], MAXIMUM[channel] if channel in MAXIMUM else 1.e6))
Exp2s.GetXaxis().SetRangeUser(SIGNALS[0], SIGNALS[-1])
#drawAnalysis(channel)
drawAnalysis("")
#drawRegion(channel, True)
drawRegion("", True)
#drawCMS(LUMI, "Simulation Preliminary") #Preliminary
if CATEGORY == "":
#drawCMS(LUMI, "Work in Progress", suppressCMS=True)
drawCMS(LUMI, "", suppressCMS=True)
else:
#drawCMS(LUMI, "Work in Progress, "+CAT_LABELS[CATEGORY], suppressCMS=True)
drawCMS(LUMI, CAT_LABELS[CATEGORY], suppressCMS=True)
# legend
top = 0.9
nitems = 4 + len(THEORY)
leg = TLegend(0.55, top - nitems * 0.3 / 5., 0.98, top)
#leg = TLegend(0.45, top-nitems*0.3/5., 0.98, top)
leg.SetBorderSize(0)
leg.SetFillStyle(0) #1001
leg.SetFillColor(0)
leg.SetHeader("95% CL upper limits")
leg.AddEntry(Obs0s, "Observed", "l")
leg.AddEntry(Exp0s, "Expected", "l")
leg.AddEntry(Exp1s, "#pm 1 std. deviation", "f")
leg.AddEntry(Exp2s, "#pm 2 std. deviation", "f")
for t in THEORY:
leg.AddEntry(Theory[t], theoryLabel[t], "fl")
leg.Draw()
latex = TLatex()
latex.SetNDC()
latex.SetTextSize(0.045)
latex.SetTextFont(42)
#latex.DrawLatex(0.66, leg.GetY1()-0.045, particleP+" #rightarrow "+particle+"h")
leg2 = TLegend(0.12, 0.225 - 2 * 0.25 / 5., 0.65, 0.225)
leg2.SetBorderSize(0)
leg2.SetFillStyle(0) #1001
leg2.SetFillColor(0)
c1.GetPad(0).RedrawAxis()
leg2.Draw()
if not options.blind: Obs0s.Draw("SAME, L")
c1.GetPad(0).Update()
if not gROOT.IsBatch(): raw_input("Press Enter to continue...")
c1.Print("combine/plotsLimit/ExclusionLimits/" + YEAR + suffix + ".png")
c1.Print("combine/plotsLimit/ExclusionLimits/" + YEAR + suffix + ".pdf")
if 'ah' in channel or 'sl' in channel:
c1.Print("combine/plotsLimit/ExclusionLimits/" + YEAR + suffix + ".C")
c1.Print("combine/plotsLimit/ExclusionLimits/" + YEAR + suffix +
".root")
for t in THEORY:
print "Model", t, ":",
for m in range(mass[0], mass[-1], 1):
if not (Theory[t].Eval(m) > Obs0s.Eval(m)) == (
Theory[t].Eval(m + 1) > Obs0s.Eval(m + 1)):
print m,
print ""
return ##FIXME
# ---------- Significance ----------
c2 = TCanvas("c2", "Significance", 800, 600)
c2.cd()
c2.GetPad(0).SetTopMargin(0.06)
c2.GetPad(0).SetRightMargin(0.05)
c2.GetPad(0).SetTicks(1, 1)
c2.GetPad(0).SetGridx()
c2.GetPad(0).SetGridy()
Sign.GetYaxis().SetRangeUser(0., 5.)
Sign.Draw("AL3")
#drawCMS(LUMI, "Preliminary")
drawCMS(LUMI, "Work in Progress", suppressCMS=True)
drawAnalysis(channel[1:3])
c2.Print("combine/plotsLimit/Significance/" + YEAR + suffix + ".png")
c2.Print("combine/plotsLimit/Significance/" + YEAR + suffix + ".pdf")
# c2.Print("plotsLimit/Significance/"+YEAR+suffix+".root")
# c2.Print("plotsLimit/Significance/"+YEAR+suffix+".C")
# ---------- p-Value ----------
c3 = TCanvas("c3", "p-Value", 800, 600)
c3.cd()
c3.GetPad(0).SetTopMargin(0.06)
c3.GetPad(0).SetRightMargin(0.05)
c3.GetPad(0).SetTicks(1, 1)
c3.GetPad(0).SetGridx()
c3.GetPad(0).SetGridy()
c3.GetPad(0).SetLogy()
pVal.Draw("AL3")
pVal.GetYaxis().SetRangeUser(2.e-7, 0.5)
ci = [
1., 0.317310508, 0.045500264, 0.002699796, 0.00006334, 0.000000573303,
0.000000001973
]
line = TLine()
line.SetLineColor(922)
line.SetLineStyle(7)
text = TLatex()
text.SetTextColor(922)
text.SetTextSize(0.025)
text.SetTextAlign(12)
for i in range(1, len(ci) - 1):
line.DrawLine(pVal.GetXaxis().GetXmin(), ci[i] / 2,
pVal.GetXaxis().GetXmax(), ci[i] / 2)
text.DrawLatex(pVal.GetXaxis().GetXmax() * 1.01, ci[i] / 2,
"%d #sigma" % i)
#drawCMS(LUMI, "Preliminary")
drawCMS(LUMI, "Work in Progress", suppressCMS=True)
drawAnalysis(channel[1:3])
c3.Print("combine/plotsLimit/pValue/" + YEAR + suffix + ".png")
c3.Print("combine/plotsLimit/pValue/" + YEAR + suffix + ".pdf")
# c3.Print("plotsLimit/pValue/"+YEAR+suffix+".root")
# c3.Print("plotsLimit/pValue/"+YEAR+suffix+".C")
# --------- Best Fit ----------
c4 = TCanvas("c4", "Best Fit", 800, 600)
c4.cd()
c4.GetPad(0).SetTopMargin(0.06)
c4.GetPad(0).SetRightMargin(0.05)
c4.GetPad(0).SetTicks(1, 1)
c4.GetPad(0).SetGridx()
c4.GetPad(0).SetGridy()
Best.Draw("AL3")
#drawCMS(LUMI, "Preliminary")
drawCMS(LUMI, "Work in Progress", suppressCMS=True)
drawAnalysis(channel[1:3])
c4.Print("combine/plotsLimit/BestFit/" + YEAR + suffix + ".png")
c4.Print("combine/plotsLimit/BestFit/" + YEAR + suffix + ".pdf")
# c4.Print("plotsLimit/BestFit/"+YEAR+suffix+".root")
# c4.Print("plotsLimit/BestFit/"+YEAR+suffix+".C")
if not gROOT.IsBatch(): raw_input("Press Enter to continue...")
if 'ah' in channel:
outFile = TFile("bands.root", "RECREATE")
outFile.cd()
pVal.Write("graph")
Best.Write("best")
outFile.Close()
extraTextFont = 52
if year == '2016':
lumiText = "35.9 fb^{#minus1} (13 TeV)"
if year == '2017':
lumiText = "41.50 fb^{#minus1} (13 TeV)"
if year == '2018':
lumiText = "59.74 fb^{#minus1} (13 TeV)"
lumiTextSize = 0.55
lumiTextOffset = 0.2
relExtraDY = 1.2
latex.SetTextAngle(0)
latex.SetTextColor(kBlack)
extraTextSize = extraOverCmsTextSize * cmsTextSize
latex.SetTextFont(42)
latex.SetTextAlign(31)
latex.SetTextSize(lumiTextSize * t)
latex.SetTextFont(42)
latex.SetTextAlign(31)
latex.SetTextSize(lumiTextSize * t)
latex.DrawLatex(1 - r, 1 - t + lumiTextOffset * t, lumiText)
latex.SetTextFont(cmsTextFont)
latex.SetTextAlign(11)
latex.SetTextSize(cmsTextSize * t)
latex.DrawLatex(1.15 * l, 1 - t + lumiTextOffset * t, cmsText)
posX_ = 0
posX_ = l + relPosX * (1 - l - r)
def make_ratioplot(name, ttbar_file=0, qcd_file=0, signal_files=[], histo=0,rebin=1,minx=0,maxx=0,miny=0,maxy=0,logy=False,
xtitle='',ytitle='',textsizefactor=1,signal_legend=[],outfile=0,signal_colors=[], signal_zoom=1, qcd_zoom=1, ttbar_zoom=1,
ttbar_legend='t#bar{t}',qcd_legend='QCD from MC',dosys=False,docms=True,legendtitle=''):
###canvas setting up
canvas=0
canvas=TCanvas(name,'',0,0,600,600)
canvas.SetLeftMargin(0.15)
canvas.SetRightMargin(0.05)
canvas.SetTopMargin(0.10)
canvas.SetBottomMargin(0.10)
charsize=0.04
offset=1.9
###latex label
latex=0
latex=TLatex(0.6,0.7,'13 TeV, 2.69 fb^{-1}')
latex.SetTextSize(charsize)
latex.SetNDC(1)
latex.SetTextFont(42)
###legend setting up
#legend=TLegend(0.0,0.75,0.99,1.04)
legend=TLegend(0.4,0.6,0.94,0.95)
legend.SetNColumns(2)
legend.SetHeader('')
legend.SetFillStyle(0)
legend.SetBorderSize(0)
###mc stack
stack=THStack(name+'_stack','')
qcd_histo=qcd_file.Get(histo).Clone(name+'_make_plot')
qcd_histo.Rebin(rebin)
ttbar_histo=ttbar_file.Get(histo).Clone()
ttbar_histo.Rebin(rebin)
ttbar_histo.SetFillColor(kRed-9)
ttbar_histo.SetLineColor(kRed-9)
ttbar_histo.SetMarkerColor(kRed-9)
if ttbar_zoom!=1:
ttbar_histo.Scale(ttbar_zoom)
legend.AddEntry(ttbar_histo,ttbar_legend,'f')
qcd_histo.SetFillColor(kOrange-5)
qcd_histo.SetLineColor(kOrange-5)
qcd_histo.SetMarkerColor(kOrange-5)
if qcd_zoom!=1:
qcd_histo.Scale(qcd_zoom)
legend.AddEntry(qcd_histo,qcd_legend,'f')
sum_mc=qcd_histo.Clone(histo+'tmp')
sum_mc.Add(ttbar_histo)
stack.Add(ttbar_histo)
stack.Add(qcd_histo)
sum_mc.SetLineColor(kBlack)
sum_mc.SetFillStyle(0)
err=TGraphAsymmErrors(sum_mc)
legend.AddEntry(err,'Total uncertainty','f')
if legendtitle=='':
legend.AddEntry(0,"",'')
legend.AddEntry(0,"g_{RS} #rightarrow t#bar{t} (2pb)",'')
else:
legend.AddEntry(0,"",'')
legend.AddEntry(0,legendtitle,'')
###signal setting up
signal_histos=[]
colors=[kBlack,kRed,kOrange,kBlue,kGreen+3,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60]
styles=[1,3,5,7,7,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1]
if signal_colors!=[]:
colors=signal_colors
for i in range(len(signal_files)):
signal_histos.append(signal_files[i].Get(histo).Clone())
signal_histos[i].SetLineWidth(3)
signal_histos[i].SetLineStyle(styles[i])
signal_histos[i].SetLineColor(colors[i])
signal_histos[i].SetMarkerColor(colors[i])
signal_histos[i].Rebin(rebin)
if signal_zoom!=1:
signal_histos[i].Scale(signal_zoom)
legend.AddEntry(signal_histos[i],signal_legend[i],'l')
###mc shape line
ttbar_line=0
ttbar_line=ttbar_histo.Clone()
ttbar_line.SetLineColor(kBlack)
ttbar_line.SetFillStyle(0)
###mc errors
if dosys:
sys_diff_qcd=[]
sys_diff_ttbar=[]
for imtt in range(1,ttbar_histo.GetNbinsX()+1):
sys_diff_qcd.append([])
sys_diff_ttbar.append([])
#adding stat uncertainties <--removed
# for imtt in range(1,ttbar_histo.GetNbinsX()+1):
# sys_diff_ttbar[imtt-1].append(ttbar_histo.GetBinError(imtt))
# sys_diff_ttbar[imtt-1].append(-ttbar_histo.GetBinError(imtt))
# sys_diff_qcd[imtt-1].append(qcd_histo.GetBinError(imtt))
# sys_diff_qcd[imtt-1].append(-qcd_histo.GetBinError(imtt))
#adding flat uncertainties
for imtt in range(1,ttbar_histo.GetNbinsX()+1):
#ttbar
for i in [2.4,#pdf
10.0,#mu
3.0,#xsec
6.0,#toppt
1.0,#lumi
3.5,#jec
3.0,#jer
10.0,#btag
#3.0,#trig
10.0,#toptag
3.0]:#pileup
sys_diff_ttbar[imtt-1].append(i/100.0*ttbar_histo.GetBinContent(imtt))
sys_diff_ttbar[imtt-1].append(-i/100.0*ttbar_histo.GetBinContent(imtt))
closureunc=5.0
# if '1b' in histo:
# closureunc=5.0
# elif '2b' in histo:
# closureunc=10.0
for i in [2.0,#modmass
closureunc]:#closure
sys_diff_qcd[imtt-1].append(i/100.0*qcd_histo.GetBinContent(imtt))
sys_diff_qcd[imtt-1].append(-i/100.0*qcd_histo.GetBinContent(imtt))
# #3% trigger
# sys_diff_ttbar[imtt-1].append(0.03*ttbar_histo.GetBinContent(imtt))
# sys_diff_ttbar[imtt-1].append(-0.03*ttbar_histo.GetBinContent(imtt))
# #2.7% lumi
# sys_diff_ttbar[imtt-1].append(0.023*ttbar_histo.GetBinContent(imtt))
# sys_diff_ttbar[imtt-1].append(-0.023*ttbar_histo.GetBinContent(imtt))
# #15% ttbar
# #sys_diff_ttbar[imtt-1].append(0.15*ttbar_histo.GetBinContent(imtt))
# #sys_diff_ttbar[imtt-1].append(-0.15*ttbar_histo.GetBinContent(imtt))
# #2.8% QCD
# sys_diff_qcd[imtt-1].append(0.028*qcd_histo.GetBinContent(imtt))
# sys_diff_qcd[imtt-1].append(-0.028*qcd_histo.GetBinContent(imtt))
#combining uncertainties
sys_tot_ttbar=[]
sys_tot_qcd=[]
sys_tot=[]
sys_global_ttbar=[0.0,0.0]
sys_global_qcd=[0.0,0.0]
nevt_global=[0.0,0.0,0.0]
for imtt in range(1,ttbar_histo.GetNbinsX()+1):
uperr_qcd=0
downerr_qcd=0
uperr_ttbar=0
downerr_ttbar=0
for error in sys_diff_ttbar[imtt-1]:
if error<0:
downerr_ttbar=downerr_ttbar+error*error
else:
uperr_ttbar=uperr_ttbar+error*error
for error in sys_diff_qcd[imtt-1]:
if error<0:
downerr_qcd=downerr_qcd+error*error
else:
uperr_qcd=uperr_qcd+error*error
sys_tot_ttbar.append([math.sqrt(downerr_ttbar),math.sqrt(uperr_ttbar)])
sys_tot_qcd.append([math.sqrt(downerr_qcd),math.sqrt(uperr_qcd)])
sys_tot.append([math.sqrt(downerr_qcd+downerr_ttbar),math.sqrt(uperr_qcd+uperr_ttbar)])
sys_global_qcd[0]=sys_global_qcd[0]+downerr_qcd
sys_global_qcd[1]=sys_global_qcd[1]+uperr_qcd
sys_global_ttbar[0]=sys_global_ttbar[0]+downerr_ttbar
sys_global_ttbar[1]=sys_global_ttbar[1]+uperr_ttbar
# nevt_global[0]=nevt_global[0]+data_histo.GetBinContent(imtt)
nevt_global[1]=nevt_global[1]+qcd_histo.GetBinContent(imtt)
nevt_global[2]=nevt_global[2]+ttbar_histo.GetBinContent(imtt)
#print 'ttbar+qcd',math.sqrt(uperr_qcd+uperr_ttbar),math.sqrt(downerr_qcd+downerr_ttbar)
#print 'qcd',math.sqrt(uperr_qcd),math.sqrt(downerr_qcd)
#print 'ttbar',math.sqrt(uperr_ttbar),math.sqrt(downerr_ttbar)
err.SetPointEYhigh(imtt-1,math.sqrt(uperr_qcd+uperr_ttbar))
err.SetPointEYlow(imtt-1,math.sqrt(downerr_qcd+downerr_ttbar))
sys_global=[0.0,0.0]
sys_global[0]=math.sqrt(sys_global_qcd[0]+sys_global_ttbar[0])
sys_global[1]=math.sqrt(sys_global_qcd[1]+sys_global_ttbar[1])
sys_global_qcd[0]=math.sqrt(sys_global_qcd[0])
sys_global_qcd[1]=math.sqrt(sys_global_qcd[1])
sys_global_ttbar[0]=math.sqrt(sys_global_ttbar[0])
sys_global_ttbar[1]=math.sqrt(sys_global_ttbar[1])
# print name
# print "\hline"
# print "Multijet QCD & $%.0f^{+%.0f}_{-%.0f}$ \\\\" % (nevt_global[1],sys_global_qcd[1],sys_global_qcd[0])
# print "SM ttbar & $%.0f^{+%.0f}_{-%.0f}$ \\\\" % (nevt_global[2],sys_global_ttbar[1],sys_global_ttbar[0])
# print "\hline"
# print "Total background & $%.0f^{+%.0f}_{-%.0f}$ \\\\" % (nevt_global[1]+nevt_global[2],sys_global[1],sys_global[0])
# print 'DATA & %.0f' %nevt_global[0]
err.SetFillStyle(3145)
err.SetFillColor(kGray+1)
###drawing top
canvas.cd()
stack.Draw('hist')
stack.GetXaxis().SetTitle(ttbar_histo.GetXaxis().GetTitle())
stack.GetYaxis().SetTitle(ttbar_histo.GetYaxis().GetTitle())
stack.GetXaxis().SetLabelSize(charsize)
stack.GetXaxis().SetTitleSize(charsize)
stack.GetYaxis().SetLabelSize(charsize)
stack.GetYaxis().SetTitleSize(charsize)
stack.GetYaxis().SetTitleOffset(offset)
if minx!=0 or maxx!=0:
stack.GetXaxis().SetRangeUser(minx,maxx)
#else:
# stack.GetXaxis().SetRangeUser(0,4000)
if miny!=0 or maxy!=0:
stack.SetMaximum(maxy)
stack.SetMinimum(miny)
else:
if logy:
stack.SetMaximum(stack.GetMaximum()*10)
stack.SetMinimum(0.2)
else:
stack.SetMaximum(stack.GetMaximum()*2.0)
stack.SetMinimum(0.001)
err.Draw('2')
sum_mc.Draw('samehist')
if ttbar_file!=0:
ttbar_line.Draw('samehist')
for i in signal_histos:
i.Draw('samehist')
if logy:
canvas.SetLogy()
legend.Draw()
latex2text=''
if 'ldy_0b' in name:
latex2text='#Deltay < 1; 0 b tag'
elif 'ldy_1b' in name:
latex2text='#Deltay < 1; 1 b tag'
elif 'ldy_2b' in name:
latex2text='#Deltay < 1; 2 b tag'
elif 'hdy_0b' in name:
latex2text='#Deltay > 1; 0 b tag'
elif 'hdy_1b' in name:
latex2text='#Deltay > 1; 1 b tag'
elif 'hdy_2b' in name:
latex2text='#Deltay > 1; 2 b tag'
latex2=TLatex(0.19,0.7,latex2text)
latex2.SetTextSize(0.03)
latex2.SetNDC(1)
latex2.SetTextFont(42)
latex2.Draw()
if docms:
if '3000' in name:
CMS_lumi.CMS_lumi(canvas, 3, 11)
elif '1000' in name:
CMS_lumi.CMS_lumi(canvas, 2, 11)
elif '300' in name:
CMS_lumi.CMS_lumi(canvas, 1, 11)
elif '36' in name:
CMS_lumi.CMS_lumi(canvas, 0, 11)
###saving
canvas.SaveAs('pdf/'+name+'.pdf')
if outfile!=0:
canvas.Write()