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plot_workspace.py
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plot_workspace.py
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import ROOT
import numpy
import copy
import os,sys
from datetime import date
import plotUtils
ROOT.gROOT.SetBatch(1)
user = os.environ.get("USER")
today= date.today().strftime("%b-%d-%Y")
doRatio = False
doPull = False
useSignalMC = True
doPartialUnblinding = True
normalizeSignal = False # Only if background is > 0
wsname = "wfit"
thisDir = os.environ.get("PWD")
if len(sys.argv) < 4:
exit
inDir = sys.argv[1]
year = sys.argv[2]
if sys.argv[3]=='Signal':
plotBackground = False
plotSignal = True
plotOnlySignal = True
elif sys.argv[3]=='Background':
plotBackground = True
plotSignal = False
plotOnlySignal = False
else:
print('Argument 2 must be Signal or Background')
useData = not plotOnlySignal
useCategorizedSignal = True
useCategorizedBackground = True
outDir = ("%s/fitPlots_%s_"%(thisDir, year))+today
if not os.path.exists(outDir):
os.makedirs(outDir)
dNames = []
dNames.append("d_FourMu_sep")
dNames.append("d_FourMu_osv")
dNames.append("d_Dimuon_lxy0p0to0p2_iso0_ptlow")
dNames.append("d_Dimuon_lxy0p0to0p2_iso0_pthigh")
dNames.append("d_Dimuon_lxy0p0to0p2_iso1_ptlow")
dNames.append("d_Dimuon_lxy0p0to0p2_iso1_pthigh")
dNames.append("d_Dimuon_lxy0p2to1p0_iso0_ptlow")
dNames.append("d_Dimuon_lxy0p2to1p0_iso0_pthigh")
dNames.append("d_Dimuon_lxy0p2to1p0_iso1_ptlow")
dNames.append("d_Dimuon_lxy0p2to1p0_iso1_pthigh")
dNames.append("d_Dimuon_lxy1p0to2p4_iso0_ptlow")
dNames.append("d_Dimuon_lxy1p0to2p4_iso0_pthigh")
dNames.append("d_Dimuon_lxy1p0to2p4_iso1_ptlow")
dNames.append("d_Dimuon_lxy1p0to2p4_iso1_pthigh")
dNames.append("d_Dimuon_lxy2p4to3p1_iso0_ptlow")
dNames.append("d_Dimuon_lxy2p4to3p1_iso0_pthigh")
dNames.append("d_Dimuon_lxy2p4to3p1_iso1_ptlow")
dNames.append("d_Dimuon_lxy2p4to3p1_iso1_pthigh")
dNames.append("d_Dimuon_lxy3p1to7p0_iso0_ptlow")
dNames.append("d_Dimuon_lxy3p1to7p0_iso0_pthigh")
dNames.append("d_Dimuon_lxy3p1to7p0_iso1_ptlow")
dNames.append("d_Dimuon_lxy3p1to7p0_iso1_pthigh")
dNames.append("d_Dimuon_lxy7p0to11p0_iso0_ptlow")
dNames.append("d_Dimuon_lxy7p0to11p0_iso0_pthigh")
dNames.append("d_Dimuon_lxy7p0to11p0_iso1_ptlow")
dNames.append("d_Dimuon_lxy7p0to11p0_iso1_pthigh")
dNames.append("d_Dimuon_lxy11p0to16p0_iso0_ptlow")
dNames.append("d_Dimuon_lxy11p0to16p0_iso0_pthigh")
dNames.append("d_Dimuon_lxy11p0to16p0_iso1_ptlow")
dNames.append("d_Dimuon_lxy11p0to16p0_iso1_pthigh")
dNames.append("d_Dimuon_lxy16p0to70p0_iso0_ptlow")
dNames.append("d_Dimuon_lxy16p0to70p0_iso0_pthigh")
dNames.append("d_Dimuon_lxy16p0to70p0_iso1_ptlow")
dNames.append("d_Dimuon_lxy16p0to70p0_iso1_pthigh")
dNames.append("d_Dimuon_lxy0p0to0p2_non-pointing")
dNames.append("d_Dimuon_lxy0p2to1p0_non-pointing")
dNames.append("d_Dimuon_lxy1p0to2p4_non-pointing")
dNames.append("d_Dimuon_lxy2p4to3p1_non-pointing")
dNames.append("d_Dimuon_lxy3p1to7p0_non-pointing")
dNames.append("d_Dimuon_lxy7p0to11p0_non-pointing")
dNames.append("d_Dimuon_lxy11p0to16p0_non-pointing")
dNames.append("d_Dimuon_lxy16p0to70p0_non-pointing")
#dNames.append("")
years = []
years.append(year)
# Signals
sigModels = []
sigModels.append("Y3")
#sigModels.append("DY3")
#sigModels.append("DYp3")
#sigModels.append("B3mL2")
sigMasses = []
if useSignalMC:
sigMasses = [0.5, 0.7, 2.0, 2.5, 6.0, 7.0, 8.0, 14.0, 16.0, 20.0, 22.0, 24.0, 30.0, 34.0, 40.0, 44.0, 50.0]
else:
mF = 350.0
mL = 2000.0
sigMasses.append("%.0f"%mF)
tm = mF
while tm < mL:
if tm<400.0: tm=tm+5.0
elif tm<700.0: tm=tm+10.0
elif tm<1000.0: tm=tm+15.0
elif tm<1500.0: tm=tm+25.0
else: tm=tm+50.0
sigMasses.append("%.0f"%tm)
sigCtau = ["1", "10", "100"]
def drawLabels(year="all",lumi=59.83+41.48+19.5+16.8,plotData=False):
# Labels
latex = ROOT.TLatex()
latex.SetTextFont(42)
latex.SetTextAlign(31)
latex.SetTextSize(0.04)
latex.SetNDC(True)
latexCMS = ROOT.TLatex()
latexCMS.SetTextFont(61)
latexCMS.SetTextSize(0.055)
latexCMS.SetNDC(True)
latexCMSExtra = ROOT.TLatex()
latexCMSExtra.SetTextFont(52)
latexCMSExtra.SetTextSize(0.04)
latexCMSExtra.SetNDC(True)
legoffset = 0.0
latexSel = ROOT. TLatex()
latexSel.SetTextAlign(31)
latexSel.SetTextFont(42)
latexSel.SetTextSize(0.04)
latexSel.SetNDC(True)
yearenergy=""
if year!="all" or lumi<100.0:
if year!="all":
yearenergy="%.1f fb^{-1} (%s, 13 TeV)"%(lumi,year)
else:
yearenergy="%.1f fb^{-1} (2022, 13.6 TeV)"%(lumi)
else:
yearenergy="%.0f fb^{-1} (13 TeV)"%(lumi)
if plotData:
cmsExtra="Preliminary"
else:
cmsExtra="Simulation"
# Draw CMS headers
expoffset=0
if doRatio:
latex.DrawLatex(0.95, 0.93+expoffset, yearenergy);
latexCMS.DrawLatex(0.15,0.93+expoffset,"CMS");
latexCMSExtra.DrawLatex(0.24,0.93+expoffset, cmsExtra);
else:
latex.DrawLatex(0.95, 0.93+expoffset, yearenergy);
latexCMS.DrawLatex(0.11,0.93+expoffset,"CMS");
latexCMSExtra.DrawLatex(0.21,0.93+expoffset, cmsExtra);
def getLegend(ch,gd,p,hp,hs,smodel,smass,sigsf=-1.0,plotSignal=True,plotData=True,plotOnlySignal=False,hmc=None,hgauss=None,hdcb=None):
legend = ROOT.TLegend(0.5,0.65,0.91,0.91)
legend.SetLineColor(0)
legend.SetTextSize(0.04)
legend.SetLineWidth(0)
legend.SetFillColor(0)
legend.SetFillStyle(0)
if plotOnlySignal:
legend.SetHeader(smodel)
legend.AddEntry(hmc,"Signal Monte Carlo","EP")
legend.AddEntry(hs,"Total signal fit", "L")
legend.AddEntry(hgauss,"Gaussian", "L")
legend.AddEntry(hdcb,"Double Crystal Ball", "L")
else:
if plotData:
legend.AddEntry(gd,"Data","EP")
else:
legend.AddEntry(gd,"Data (toy)","EP")
for pn,pp in enumerate(p):
legend.AddEntry(hp[pn],pp,"L")
if plotSignal:
if sigsf>0:
legend.AddEntry(hs,"%s, (x%.4f)"%(smodel,sigsf), "L")
else:
legend.AddEntry(hs,"%s"%(smodel), "L")
return legend
mean = 0.0
sigma = 0.0
for y in years:
for t in sigCtau:
for mf in sigMasses:
if mf < 1.0 and t=="100":
continue
m = str(mf)
for d_,d in enumerate(dNames):
sample = "Signal_HTo2ZdTo2mu2x_MZd-%s_ctau-%smm"%(m.replace(".", "p"),t)
finame = "%s/%s_%s_%s_workspace.root"%(inDir,d,sample,y)
print(finame)
if (d == "d_FourMu_sep" ): binidx=1
elif (d == "d_FourMu_osv" ): binidx=2
elif (d == "d_Dimuon_lxy0p0to0p2_iso0_ptlow" ): binidx=3
elif (d == "d_Dimuon_lxy0p0to0p2_iso0_pthigh" ): binidx=4
elif (d == "d_Dimuon_lxy0p0to0p2_iso1_ptlow" ): binidx=5
elif (d == "d_Dimuon_lxy0p0to0p2_iso1_pthigh" ): binidx=6
elif (d == "d_Dimuon_lxy0p2to1p0_iso0_ptlow" ): binidx=7
elif (d == "d_Dimuon_lxy0p2to1p0_iso0_pthigh" ): binidx=8
elif (d == "d_Dimuon_lxy0p2to1p0_iso1_ptlow" ): binidx=9
elif (d == "d_Dimuon_lxy0p2to1p0_iso1_pthigh" ): binidx=10
elif (d == "d_Dimuon_lxy1p0to2p4_iso0_ptlow" ): binidx=11
elif (d == "d_Dimuon_lxy1p0to2p4_iso0_pthigh" ): binidx=12
elif (d == "d_Dimuon_lxy1p0to2p4_iso1_ptlow" ): binidx=13
elif (d == "d_Dimuon_lxy1p0to2p4_iso1_pthigh" ): binidx=14
elif (d == "d_Dimuon_lxy2p4to3p1_iso0_ptlow" ): binidx=15
elif (d == "d_Dimuon_lxy2p4to3p1_iso0_pthigh" ): binidx=16
elif (d == "d_Dimuon_lxy2p4to3p1_iso1_ptlow" ): binidx=17
elif (d == "d_Dimuon_lxy2p4to3p1_iso1_pthigh" ): binidx=18
elif (d == "d_Dimuon_lxy3p1to7p0_iso0_ptlow" ): binidx=19
elif (d == "d_Dimuon_lxy3p1to7p0_iso0_pthigh" ): binidx=20
elif (d == "d_Dimuon_lxy3p1to7p0_iso1_ptlow" ): binidx=21
elif (d == "d_Dimuon_lxy3p1to7p0_iso1_pthigh" ): binidx=22
elif (d == "d_Dimuon_lxy7p0to11p0_iso0_ptlow" ): binidx=23
elif (d == "d_Dimuon_lxy7p0to11p0_iso0_pthigh" ): binidx=24
elif (d == "d_Dimuon_lxy7p0to11p0_iso1_ptlow" ): binidx=25
elif (d == "d_Dimuon_lxy7p0to11p0_iso1_pthigh" ): binidx=26
elif (d == "d_Dimuon_lxy11p0to16p0_iso0_ptlow" ): binidx=27
elif (d == "d_Dimuon_lxy11p0to16p0_iso0_pthigh" ): binidx=28
elif (d == "d_Dimuon_lxy11p0to16p0_iso1_ptlow" ): binidx=29
elif (d == "d_Dimuon_lxy11p0to16p0_iso1_pthigh" ): binidx=30
elif (d == "d_Dimuon_lxy16p0to70p0_iso0_ptlow" ): binidx=31
elif (d == "d_Dimuon_lxy16p0to70p0_iso0_pthigh" ): binidx=32
elif (d == "d_Dimuon_lxy16p0to70p0_iso1_ptlow" ): binidx=33
elif (d == "d_Dimuon_lxy16p0to70p0_iso1_pthigh" ): binidx=34
elif (d == "d_Dimuon_lxy0p0to0p2_non-pointing" ): binidx=35
elif (d == "d_Dimuon_lxy0p2to1p0_non-pointing" ): binidx=36
elif (d == "d_Dimuon_lxy1p0to2p4_non-pointing" ): binidx=37
elif (d == "d_Dimuon_lxy2p4to3p1_non-pointing" ): binidx=38
elif (d == "d_Dimuon_lxy3p1to7p0_non-pointing" ): binidx=39
elif (d == "d_Dimuon_lxy7p0to11p0_non-pointing" ): binidx=40
elif (d == "d_Dimuon_lxy11p0to16p0_non-pointing" ): binidx=41
elif (d == "d_Dimuon_lxy16p0to70p0_non-pointing" ): binidx=42
catExtS = ""
catExtB = ""
if useCategorizedSignal:
catExtS = "_ch%d_%s"%(binidx, year)
if useCategorizedBackground:
catExtB = "_ch%d_%s"%(binidx, year)
print(catExtS, catExtB)
# Open input file with workspace
f = ROOT.TFile(finame)
# Retrieve workspace from file
w = f.Get(wsname)
# Retrive x, min and max
if "Dimuon" in d:
x = w.var("mfit")
else:
x = w.var("m4fit")
minx = x.getMin()
maxx = x.getMax()
#nBins = int((maxx-minx)/(0.01*float(m)))
nBins = 5*10;
# Retrieve signal normalization
lumi=35. if year=='2022' else 17.1 # 27.2
if doPartialUnblinding:
lumi = 0.1*lumi
nSig = w.var("signalNorm%s"%catExtS).getValV()
# Retrieve signal mean and std. deviation
if binidx==0 or useCategorizedSignal:
mean = w.var("mean%s"%catExtS).getValV()
sigma = w.var("sigma%s"%catExtS).getValV()
# Retrive BG normalization:
nBG = w.data("data_obs%s"%catExtB).sumEntries()
# Get data
data = w.data("data_obs%s"%catExtB)
hd = x.createHistogram("hd",ROOT.RooFit.Binning(nBins,minx,maxx))
data.fillHistogram(hd,ROOT.RooArgList(x))
# Get mc
if plotOnlySignal:
mc = w.data("signalRooDataSet%s"%catExtS)
frame = x.frame(minx,maxx);
mc.plotOn(frame, ROOT.RooFit.DataError(ROOT.RooAbsData.SumW2), ROOT.RooFit.Binning(nBins,minx,maxx))
hmc = frame.getHist()
#hmc = x.createHistogram("hmc",ROOT.RooFit.Binning(nBins,minx,maxx))
#hmc.Sumw2()
#mc.fillHistogram(hmc,ROOT.RooArgList(x))
# Get background pdfs
bpdf = w.pdf("roomultipdf%s"%catExtB)
nPDF = w.cat("pdf_index%s"%catExtB).numTypes()
p = []
pn = []
hp = []
hpr = []
numpars = []
for pp in range(nPDF):
p.append(bpdf.getPdf(pp))
numpars.append(w.pdf(bpdf.getPdf(pp).GetName()).getVariables().getSize()-1)
if "exponential" in p[pp].GetName():
pn.append("Exponential")
color=ROOT.kOrange-7
elif "powerlaw" in p[pp].GetName():
pn.append("Power-law")
color=ROOT.kOrange-2
elif "bernstein" in p[pp].GetName():
pn.append("Bernstein<%d>"%(numpars[pp]))
color=ROOT.kRed+1
else:
pn.append("Uniform")
color=ROOT.kGray+2
hp.append(p[pp].createHistogram("hp%d"%pp,x,ROOT.RooFit.Binning(100*nBins,minx,maxx)))
hp[pp].SetLineColor(color)
hp[pp].SetLineWidth(2)
hp[pp].Scale(nBG)
hpr.append(hp[pp].Clone("hpr%d"%pp))
hpr[pp].Rebin(100)
hp[pp].Scale(100.0)
# Get signal pdfs
sp = w.pdf("signal%s"%catExtS)
hs = sp.createHistogram("hs",x,ROOT.RooFit.Binning(100*nBins,minx,maxx))
hs.SetLineColor(ROOT.kMagenta)
hs.SetLineWidth(2)
hs.Scale(nSig*100)
sp_gauss = w.pdf("gauss%s"%catExtS)
sp_sigma = w.var("sigma%s"%catExtS).getValV()
sp_mean = w.var("mean%s"%catExtS).getValV()
mcfrac = w.var("mcfrac%s"%catExtS).getValV()
hs_gauss = sp_gauss.createHistogram("hs_gauss",x,ROOT.RooFit.Binning(100*nBins,minx,maxx))
hs_gauss.Scale(nSig*mcfrac*100)
g_gauss = ROOT.TGraph(hs_gauss)
g_gauss.SetLineColor(ROOT.kCyan)
g_gauss.SetLineWidth(2)
g_gauss.SetLineStyle(1)
#sp_dcb = ROOT.RooDoubleCBFast("dcb", "dcb", x, w.var("mean%s"%catExtS), w.var("sigma%s"%catExtS), w.var("alphaL%s"%catExtS), w.var("nL%s"%catExtS), w.var("nR%s"%catExtS), w.var("alphaR%s"%catExtS))
sp_dcb = w.pdf("dcb%s"%catExtS)
sp_alphaL = w.var("alphaL%s"%catExtS).getValV()
sp_alphaR = w.var("alphaR%s"%catExtS).getValV()
sp_nL = w.var("nL%s"%catExtS).getValV()
sp_nR = w.var("nR%s"%catExtS).getValV()
#recfrac = w.function("signal%s_recursive_fraction_dcb%s"%(catExtS,catExtS))
recfrac = 1.0 - mcfrac
hs_dcb = sp_dcb.createHistogram("hs_dcb",x,ROOT.RooFit.Binning(100*nBins,minx,maxx))
hs_dcb.Scale(nSig*recfrac*100)
g_dcb = ROOT.TGraph(hs_dcb)
g_dcb.SetLineColor(ROOT.kBlue)
g_dcb.SetLineWidth(2)
g_dcb.SetLineStyle(1)
scale = -1.0
if plotBackground and plotSignal and not plotOnlySignal and normalizeSignal and nBG > 1e-6:
scale = float(nBG)/float(nSig)
hs.Scale(scale)
ROOT.gStyle.SetOptStat(0)
if doRatio:
can = ROOT.TCanvas("can","",600, 600)
else:
can = ROOT.TCanvas("can","",700, 600)
can.cd()
## Make graphs out of RooData
g_data = ROOT.TGraphAsymmErrors()
plotUtils.ConvertToPoissonGraph(hd, g_data, drawZeros=True, drawXerr=False)
g_data.SetMarkerStyle(20)
g_data.SetMarkerSize(1.2)
g_data.SetLineWidth(2)
# draw with zero marker size so error bars drawn all the way to x axis in the case of 0 content
g_data_clone = g_data.Clone()
g_data_clone.SetMarkerSize(0.0)
## Create axis plot
h_axis = ROOT.TH1D("h_axis","", hd.GetNbinsX(), hd.GetXaxis().GetBinLowEdge(1), hd.GetXaxis().GetBinUpEdge(hd.GetNbinsX()))
h_axis.GetXaxis().SetTitle("m_{#mu#mu} [GeV]")
h_axis.GetYaxis().SetTitle("Events")
h_axis_ratio = ROOT.TH2D("h_axis_ratio","", hd.GetNbinsX(), hd.GetXaxis().GetBinLowEdge(1), hd.GetXaxis().GetBinUpEdge(hd.GetNbinsX()), 2000, -100.0, 100.0)
g_ratio = []
for pp in range(nPDF):
g_ratio.append(ROOT.TGraphAsymmErrors())
if not doPull:
plotUtils.GetPoissonRatioGraph(hpr[pp], hd, g_ratio[pp], drawZeros=False, drawXerr=False, useMCErr=False)
else:
plotUtils.GetPullGraph(hpr[pp], hd, g_ratio[pp], drawZeros=True, drawXerr=False, useMCErr=False)
g_ratio[pp].SetMarkerStyle(4)
g_ratio[pp].SetMarkerSize(1.2)
g_ratio[pp].SetMarkerColor(hpr[pp].GetLineColor())
g_ratio[pp].SetLineWidth(1)
g_ratio[pp].SetLineColor(hpr[pp].GetLineColor())
pads = []
if doRatio==True:
if not doPull:
minR=0.25
maxR=1.75
ty = numpy.array([])
tmax=maxR
for pp in range(nPDF):
ty = g_ratio[pp].GetY()
if len(ty)>0:
tmax = numpy.amax(ty)
if tmax>maxR:
maxR=tmax*1.05
if maxR>5.0:
minR=0.1
else:
minR=-2.0
maxR=+2.0
ty = numpy.array([])
tmax=maxR
tmin=minR
for pp in range(nPDF):
ty = g_ratio[pp].GetY()
if len(ty)>0:
tmax = numpy.amax(ty)
tmin = numpy.amin(ty)
if tmax>maxR:
maxR=tmax*1.10
if tmin<minR:
minR=tmin
if minR<0.0:
minR = minR*1.10
else:
minR = minR*0.90
if maxR>5.0 and not doPull:
minR=0.1
h_axis_ratio.GetYaxis().SetRangeUser(minR,maxR)
#h_axis_ratio.SetMinimum(minR)
#h_axis_ratio.SetMaximum(maxR)
if not doPull:
h_axis_ratio.SetTitle(";;Data / fit")
else:
h_axis_ratio.SetTitle(";;(Data-fit)/#sigma_{data}")
h_axis_ratio.GetYaxis().SetTitleSize(0.16)
h_axis_ratio.GetYaxis().SetTitleOffset(0.25)
h_axis_ratio.GetYaxis().SetLabelSize(0.12)
h_axis_ratio.GetYaxis().CenterTitle()
h_axis_ratio.GetYaxis().SetTickLength(0.02)
h_axis_ratio.GetXaxis().SetLabelSize(0)
h_axis_ratio.GetXaxis().SetTitle("")
h_axis_ratio.GetXaxis().SetTickSize(0.06)
line = ROOT.TLine(minx, 1.0, maxx, 1.0)
if doPull:
line = ROOT.TLine(minx, 0.0, maxx, 0.0)
linep1 = ROOT.TLine(minx, 1.0, maxx, 1.0)
linep2 = ROOT.TLine(minx, 2.0, maxx, 2.0)
linem1 = ROOT.TLine(minx, -1.0, maxx, -1.0)
linem2 = ROOT.TLine(minx, -2.0, maxx, -2.0)
pads.append(ROOT.TPad("1","1",0.0,0.18,1.0,1.0))
pads.append(ROOT.TPad("2","2",0.0,0.0,1.0,0.19))
pads[0].SetTopMargin(0.08)
pads[0].SetBottomMargin(0.13)
pads[0].SetRightMargin(0.05)
pads[0].SetLeftMargin(0.10)
pads[1].SetRightMargin(0.05)
pads[1].SetLeftMargin(0.10)
pads[0].Draw()
pads[1].Draw()
pads[1].cd()
if maxR>5.0 and not doPull:
pads[1].SetLogy()
pads[1].SetTickx()
h_axis_ratio.Draw("")
for pp in range(nPDF):
g_ratio[pp].Draw("SAME,P0")
line.SetLineStyle(2)
line.SetLineColor(1)
line.SetLineWidth(1)
line.Draw("SAME")
if doPull:
linep1.SetLineStyle(2)
linep1.SetLineColor(1)
linep1.SetLineWidth(1)
linep2.SetLineStyle(2)
linep2.SetLineColor(1)
linep2.SetLineWidth(1)
linem1.SetLineStyle(2)
linem1.SetLineColor(1)
linem1.SetLineWidth(1)
linem2.SetLineStyle(2)
linem2.SetLineColor(1)
linem2.SetLineWidth(1)
if minR<-2.0:
linem1.Draw("SAME")
linem2.Draw("SAME")
elif minR<-1.0:
linem1.Draw("SAME")
if maxR>2.0:
linep1.Draw("SAME")
linep2.Draw("SAME")
elif maxR>1.0:
linep1.Draw("SAME")
pads[1].Modified();
pads[1].Update();
else:
pads.append(ROOT.TPad("1","1",0,0,1,1))
pads[0].SetTopMargin(0.08)
pads[0].SetLeftMargin(0.10)
pads[0].SetRightMargin(0.05)
pads[0].Draw()
pads[0].cd()
minR=0.0
maxR=0.0
ty = numpy.array([])
tmax=maxR
if plotOnlySignal:
ty = [hmc.GetMaximum()]
else:
ty = g_data.GetY()
if len(ty)>0:
tmax = numpy.amax(ty)
if tmax>maxR:
maxR=tmax
if plotSignal:
if hs.GetMaximum() > maxR:
maxR = hs.GetMaximum()
if plotOnlySignal:
maxR = maxR*2.0
else:
if maxR>50.0:
maxR = maxR*1.5
elif maxR<50.0 and maxR>2.0:
maxR = maxR*3.0
elif maxR<=2.0 and maxR > 0.01:
maxR = maxR*5.0
else:
maxR = maxR*10.0
if nSig < 1e-5:
scale = -1
hs.Scale(0.0)
h_axis.SetMinimum(minR)
h_axis.SetMaximum(maxR)
h_axis.GetYaxis().SetRangeUser(minR,maxR)
if doRatio==True:
h_axis.GetYaxis().SetTitleSize(0.04)
h_axis.GetXaxis().SetTitleSize(0.04)
h_axis.GetXaxis().SetTitleOffset(1.25)
h_axis.GetYaxis().SetLabelSize(0.03)
else:
h_axis.GetXaxis().SetTitleSize(0.045)
h_axis.GetXaxis().SetLabelSize(0.04)
h_axis.GetYaxis().SetTitleSize(0.045)
h_axis.GetYaxis().SetLabelSize(0.04)
h_axis.GetXaxis().SetTitleOffset(1.1)
h_axis.Draw("")
if plotOnlySignal:
hmc.Draw("P,same")
else:
g_data.Draw("P,same")
g_data_clone.Draw("P,same")
for pp in range(nPDF):
hp[pp].Draw("hist,same")
if plotSignal:
hs.Draw("hist,same")
if plotOnlySignal:
g_gauss.Draw("l,same")
g_dcb.Draw("l,same")
llabel = "M_{Z_{D}} = %s, c#tau = %s mm"%(m, t)
if plotOnlySignal:
legend = getLegend(binidx,g_data,pn,hp,hs,llabel,float(m), -1, True, False, True, hmc, g_gauss, g_dcb)
else:
legend = getLegend(binidx,g_data,pn,hp,hs,llabel,float(m), -1, plotSignal)
#year="2022"
drawLabels(year,lumi,useData)
legend.Draw("same")
pads[0].Update()
pads[0].RedrawAxis()
## Search region labels
#
latexExtra = ROOT.TLatex()
latexExtra.SetTextFont(42)
latexExtra.SetTextSize(0.04)
latexExtra.SetNDC(True)
#
latexExtraBold = ROOT.TLatex()
latexExtraBold.SetTextFont(62)
latexExtraBold.SetTextSize(0.04)
latexExtraBold.SetNDC(True)
#
catnames = d.split("_")
lxybin = catnames[2]
lxybin = (lxybin[3:]).split("to")
if "d_Dimuon" in d:
latexExtraBold.DrawLatex(0.14,0.86,"Dimuon")
if "non-pointing" not in d:
latexExtra.DrawLatex(0.14,0.81,"l_{{xy}} #in [{},{}]".format(lxybin[0].replace("p", "."), lxybin[1].replace("p", ".")))
isobin = "Isolated" if catnames[3]=="iso1" else "Non isolated"
latexExtra.DrawLatex(0.14,0.76,isobin)
ptbin = "High p_{T}^{#mu#mu}" if catnames[4]=="pthigh" else "Low p_{T}^{#mu#mu}"
latexExtra.DrawLatex(0.14,0.71,ptbin)
else:
latexExtra.DrawLatex(0.14,0.81,"l_{{xy}} #in [{},{}]".format(lxybin[0].replace("p", "."), lxybin[1].replace("p", ".")))
latexExtra.DrawLatex(0.14,0.76,"Non-pointing")
elif "d_FourMu" in d:
latexExtraBold.DrawLatex(0.14,0.86,"Four muon")
fourmucat = "Resolved" if "sep" in d else "Overlapping"
latexExtra.DrawLatex(0.14,0.81,fourmucat)
## Save canvas
if plotOnlySignal:
can.SaveAs("%s/fitSIG_M%s_CT_%smm_%s.png"%(outDir,m,t,d))
can.SaveAs("%s/fitSIG_M%s_CT_%smm_%s.pdf"%(outDir,m,t,d))
else:
can.SaveAs("%s/fitBG_M%s_CT_%smm_%s.png"%(outDir,m,t,d))
can.SaveAs("%s/fitBG_M%s_CT_%smm_%s.pdf"%(outDir,m,t,d))
# Close input file with workspace
f.Close()