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brazilianFlag13TeV.py
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brazilianFlag13TeV.py
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from sys import argv
from getMasses import getMasses
from optparse import OptionParser
from os import path, makedirs
from datetime import datetime
def Plot(files, label, obs, cat, inDir):
radmasses = []
for f in files:
mass = int(f.GetName().replace("higgsCombineTest.Asymptotic.mH", "").replace(".root","").replace("%s/"%inDir, ""))
#mass = int(f.GetName().replace("higgsCombineTest.AsymptoticNew.mH", "").replace(".root","").replace("%s/"%inDir, ""))
if mass >= 700:
radmasses.append(mass)
print "files is:"
print files
print "radmasses is:"
print radmasses
#radmasses = [750, 850, 1000, 1150, 1750, 2050, 2450, 3250]
efficiencies={}
for mass in radmasses:
efficiencies[mass]=1. # to convert from fb to fb
fChain = []
for onefile in files:
print "for fchain[%i]: %s " % (len(fChain), onefile.GetName())
#fileIN = TFile(onefile)
fChain.append(onefile.Get("limit;1"))
print "fchain[%i]: %s" % (len(fChain)-1, fChain[-1])
rt.gROOT.ProcessLine("struct limit_t {Double_t limit;};")
from ROOT import limit_t
limit_branch = rt.limit_t()
for j in range(0,len(fChain)):
chain = fChain[j]
print "Setting branch address for: fChain[%i]" % j
chain.SetBranchAddress("limit", rt.AddressOf(limit_branch,'limit'))
print "done setting branch addresses."
rad = []
for j in range(0,len(fChain)):
chain = fChain[j]
thisrad = []
for i in range(0,6):
chain.GetTree().GetEntry(i)
thisrad.append(limit_branch.limit)
#print "limit = %f" %limit_branch.limit
#print thisrad
rad.append(thisrad)
print " >>> done getting all the files. About to make plot..."
# we do a plot r*MR
mg = rt.TMultiGraph()
mg.SetTitle("X -> H#gamma")
c1 = rt.TCanvas("c1","A Simple Graph Example",200,10,600,600)
x = []
yobs = []
y2up = []
y1up = []
y1down = []
y2down = []
ymean = []
for i in range(0,len(fChain)):
y2up.append(rad[i][0] *efficiencies[radmasses[j]])
y1up.append(rad[i][1] *efficiencies[radmasses[j]])
ymean.append(rad[i][2] *efficiencies[radmasses[j]])
y1down.append(rad[i][3]*efficiencies[radmasses[j]])
y2down.append(rad[i][4]*efficiencies[radmasses[j]])
yobs.append(rad[i][5] *efficiencies[radmasses[j]])
grobs = rt.TGraphErrors(1)
grobs.SetMarkerStyle(rt.kFullDotLarge)
grobs.SetLineColor(rt.kBlack)
grobs.SetLineWidth(3)
gr2up = rt.TGraphErrors(1)
gr2up.SetMarkerColor(0)
gr1up = rt.TGraphErrors(1)
gr1up.SetMarkerColor(0)
grmean = rt.TGraphErrors(1)
grmean.SetLineColor(1)
grmean.SetLineWidth(2)
grmean.SetLineStyle(3)
gr1down = rt.TGraphErrors(1)
gr1down.SetMarkerColor(0)
gr2down = rt.TGraphErrors(1)
gr2down.SetMarkerColor(0)
for j in range(0,len(fChain)):
grobs.SetPoint(j, radmasses[j], yobs[j])
gr2up.SetPoint(j, radmasses[j], y2up[j])
gr1up.SetPoint(j, radmasses[j], y1up[j])
grmean.SetPoint(j, radmasses[j], ymean[j])
print(radmasses[j], ymean[j], yobs[j])
gr1down.SetPoint(j, radmasses[j], y1down[j])
gr2down.SetPoint(j, radmasses[j], y2down[j])
#print " observed %f %f" %(radmasses[j],yobs[j])
mg.Add(gr2up)#.Draw("same")
mg.Add(gr1up)#.Draw("same")
mg.Add(grmean,"L")#.Draw("same,AC*")
mg.Add(gr1down)#.Draw("same,AC*")
mg.Add(gr2down)#.Draw("same,AC*")
if obs: mg.Add(grobs,"L")#.Draw("AC*")
c1.SetLogy(1)
mg.SetTitle("")
mg.Draw("AP")
mg.GetXaxis().SetTitle("Resonance mass (GeV)")
resonance="G"
#resonance="G_{Bulk}"
if withAcceptance:
mg.GetYaxis().SetTitle("#sigma #times B("+resonance+" #rightarrow "+label.split("_")[0].replace("RS1","").replace("Bulk","")+") #times A (fb)")
else:
mg.GetYaxis().SetTitle("95% CL UL on #sigma #times B(X#rightarrowH#gamma) (fb)")
mg.GetYaxis().SetTitleSize(0.035)
mg.GetYaxis().SetTitleOffset(0)
mg.GetXaxis().SetTitleSize(0.035)
mg.GetXaxis().SetTitleOffset(1)
mg.GetXaxis().SetLabelSize(0.035)
mg.GetYaxis().SetLabelSize(0.035)
mg.GetYaxis().SetRangeUser(10,5000)
mg.GetXaxis().SetNdivisions(605)
if "qW" in label.split("_")[0] or "qZ" in label.split("_")[0]:
mg.GetXaxis().SetLimits(500,4100)
else:
mg.GetXaxis().SetLimits(500,4100)
# histo to shade
n=len(fChain)
grgreen = rt.TGraph(2*n)
for i in range(0,n):
grgreen.SetPoint(i,radmasses[i],y2up[i])
grgreen.SetPoint(n+i,radmasses[n-i-1],y2down[n-i-1])
grgreen.SetFillColor(rt.kOrange)
grgreen.Draw("f")
gryellow = rt.TGraph(2*n)
for i in range(0,n):
gryellow.SetPoint(i,radmasses[i],y1up[i])
gryellow.SetPoint(n+i,radmasses[n-i-1],y1down[n-i-1])
gryellow.SetFillColor(rt.kGreen+1)
gryellow.Draw("f,same")
grmean.Draw("L")
if obs: grobs.Draw("L")
gtheory = rt.TGraphErrors(1)
gtheory.SetLineColor(rt.kBlack)
gtheory.SetLineWidth(4)
leg = rt.TLegend(0.5,0.65,0.95,0.89,"H(q#bar{q})#gamma: %s category" % cat)
leg2 = rt.TLegend(0.49,0.55,0.95,0.89)
leg.SetFillColor(rt.kWhite)
leg.SetFillStyle(0)
leg.SetTextSize(0.04)
leg.SetTextFont(42)
leg.SetBorderSize(0)
leg2.SetFillColor(rt.kWhite)
leg2.SetFillStyle(0)
leg2.SetTextSize(0.04)
leg2.SetBorderSize(0)
if obs: leg.AddEntry(grobs, "Observed limit", "L")
leg.AddEntry(grmean, "Expected limit", "L")
leg.AddEntry(gryellow, "Expected limit #pm 1#sigma", "f")
leg.AddEntry(grgreen, "Expected limit #pm 2#sigma", "f")
#leg.AddEntry(gtheory, ltheory, "L")
if obs: leg2.AddEntry(grobs, " ", "")
#leg2.AddEntry(grmean, " ", "L")
#leg2.AddEntry(grmean, " ", "L")
#leg2.AddEntry(gtheory, " ", "")
leg.Draw()
#leg2.Draw("same")
CMS_lumi.CMS_lumi(c1, iPeriod, iPos)
c1.cd()
c1.Update()
print " >>> Done drawing plots. About to save plots..."
today = '{:%Y-%m-%d}'.format(datetime.now())
outDir = "brazilianFlags_%s" % today
if not path.exists(outDir):
makedirs(outDir)
if withAcceptance:
c1.SaveAs(path.join(outDir, "brazilianFlag_acc_%s_%s_13TeV.root" % (cat, inDir)))
c1.SaveAs(path.join(outDir,"brazilianFlag_acc_%s_%s_13TeV.pdf" % (cat, inDir)))
else:
c1.SaveAs(path.join(outDir, "brazilianFlag_%s_%s_13TeV.root" % (cat, inDir)))
c1.SaveAs(path.join(outDir, "brazilianFlag_%s_%s_13TeV.pdf" % (cat, inDir)))
grobs.SaveAs(path.join(outDir, "brazilianFlag_observed_%s_%s_13TeV.root" % (cat, inDir)))
grmean.SaveAs(path.join(outDir, "brazilianFlag_expected_%s_%s_13TeV.root" % (cat, inDir)))
if __name__ == '__main__':
parser = OptionParser()
parser.add_option("-i", "--inDir", dest="inDir",
help = "the input directory" )
parser.add_option("-b", action="store_true", dest="batch" , default=False,
help = "turn on batch mode" )
(options, args) = parser.parse_args()
if options.inDir is None:
print "please supply a valid input directory with the -i option"
exit(1)
if not path.exists(options.inDir):
print "invalid input directory given: %s" % options.inDir
exit(1)
category = "not found!"
if "_antibtag_" in options.inDir:
category = "antibtag"
if "_btag_" in options.inDir:
category = "btag"
if "_combined_" in options.inDir:
category = "combined"
if not category in ["antibtag", "btag", "combined"]:
print "Please pick an input directory that specifies the category: either 'btag', 'antibtag', or 'combined'."
exit(1)
import ROOT as rt
from ROOT import *
if options.batch:
gROOT.SetBatch()
#set the tdr style
import CMS_lumi, tdrstyle
tdrstyle.setTDRStyle()
#change the CMS_lumi variables (see CMS_lumi.py)
CMS_lumi.lumi_13TeV = "35.9 fb^{-1}"
CMS_lumi.writeExtraText = 1
CMS_lumi.extraText = "Preliminary"
CMS_lumi.lumi_sqrtS = "13 TeV" # used with iPeriod = 0, e.g. for simulation-only plots (default is an empty string)
iPos = 0
if( iPos==0 ): CMS_lumi.relPosX = 0.12
iPeriod =4
withAcceptance=False
unblind=True
gStyle.SetPadRightMargin(0.06)
gStyle.SetPadTopMargin(0.06)
#channels=["RS1WW","RS1ZZ","WZ","qW","qZ","BulkWW","BulkZZ"]
#badmasses = [1690, 1650, 1600, 1610, 1600, 1590, 1530, 1510, 1520, 1560, 1520, 810, 820, 780, 710, 720, 730, 740, 750 , 760]
badmasses = [1190]
masses=[mass for mass in getMasses() if mass > 720 and mass not in badmasses]
HPplots=[]
LPplots=[]
combinedplots=[]
for mass in masses:
#HPplots+=[rt.TFile(path.join(options.inDir, "higgsCombineTest.AsymptoticNew.mH"+str(mass)+".root"))]
HPplots+=[rt.TFile(path.join(options.inDir, "higgsCombineTest.Asymptotic.mH"+str(mass)+".root"))]
print "added HPplot %s" % HPplots[-1]
Plot(HPplots,category+"_Hgamma", unblind, category, options.inDir)