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runLimits.py
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runLimits.py
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#! /usr/bin/env python
import os
import glob
import math
from array import array
import sys
import time
import subprocess
import ROOT
from optparse import OptionParser
from subprocess import Popen
from ROOT import gROOT, gStyle, gSystem, TLatex, TGaxis, TPaveText, TH2D, TColor, gPad, TGraph2D, TLine,TGraph,TList
ROOT.gStyle.SetPadRightMargin(0.16);
from collections import defaultdict
############################################
# Job steering #
############################################
parser = OptionParser()
parser.add_option('-b', action='store_true', dest='noX', default=False, help='no X11 windows')
#### basic allowed methods
parser.add_option('--makeCards', action='store_true', dest='makeCards', default=False, help='options to produce datacards and workspaces via fitting analysis')
parser.add_option('--computeLimits', action='store_true', dest='computeLimits', default=False, help='basic option in order to compute asymptotic limits')
parser.add_option('--plotLimits', action='store_true', dest='plotLimits', default=False, help='basic option to plot asymptotic and pvalue')
parser.add_option('--computePvalue', action='store_true', dest='computePvalue', default=False, help='basic option to plot asymptotic and pvalue')
parser.add_option('--biasStudy', action='store_true', dest='biasStudy', default=False, help='basic option to perform bias study with our own tool')
parser.add_option('--maximumLikelihoodFit', action='store_true', dest='maximumLikelihoodFit', default=False, help='basic option to run max Likelihood fit inside combination tool')
parser.add_option('--generateOnly', action='store_true', dest='generateOnly', default=False, help='basic option to run the only generation with combiner')
parser.add_option('--makeLikelihoodScan', action='store_true', dest='makeLikelihoodScan', default=False, help='basic option to run the likelihood scan')
##### submit jobs to condor, lxbatch and hercules
parser.add_option('--batchMode', action='store_true', dest='batchMode', default=False, help='to run jobs on condor fnal')
parser.add_option('--lxbatchCern', action='store_true', dest='lxbatchCern', default=False, help='run jobs on lxbatch system at cern, default is condor fnal')
parser.add_option('--herculesMilano', action='store_true', dest='herculesMilano', default=False, help='run jobs on hercules system at Milano, default is condor fnal')
##### other basci options for all the methods
parser.add_option('--datacardDIR', action="store", type="string", dest="datacardDIR", default="")
parser.add_option('--channel', action="store", type="string", dest="channel", default="em")
parser.add_option('--queque', action="store", type="string", dest="queque", default="")
parser.add_option('--pseudodata', action="store", type="int", dest="pseudodata", default=0)
parser.add_option('--systematics', action="store", type="int", dest="systematics", default=1)
parser.add_option('--massPoint', action="store", type="int", dest="massPoint", default=-1)
parser.add_option('--closuretest', action="store", type="int", dest="closuretest", default=0)
parser.add_option('--cPrime', action="store", type="int", dest="cPrime", default=-1)
parser.add_option('--brNew', action="store", type="int", dest="brNew", default=-1)
parser.add_option('--odir', action="store", type="string", dest="odir", default=".")
parser.add_option('--sigChannel', action="store", type="string", dest="sigChannel", default="")
parser.add_option('--jetBin', action="store", type="string", dest="jetBin", default="")
parser.add_option('--skipJetSystematics', action="store", type="int", dest="skipJetSystematics", default=0)
parser.add_option('--turnOnAnalysis', action="store", type="int", dest="turnOnAnalysis", default=0)
parser.add_option('--injectSingalStrenght', action="store", type=float, dest="injectSingalStrenght", default=0., help='inject a singal in the toy generation')
parser.add_option('--higgsCombination', action="store", type="int", dest="higgsCombination", default=0)
parser.add_option('--interferenceModel', action="store", type="string", dest="interferenceModel", default="3")
###### options for Bias test in the combination tool
parser.add_option('--nToys', action="store", type="int", dest="nToys", default=0)
parser.add_option('--crossedToys', action="store", type="int", dest="crossedToys", default=0)
parser.add_option('--inputGeneratedDataset', action="store", type="string", dest="inputGeneratedDataset", default="")
parser.add_option('--outputTree', action="store", type="int", dest="outputTree", default=0)
##### options specific for the bias tool
parser.add_option('--shapetest', action="store", type="int", dest="shapetest", default=0)
parser.add_option('--ttbarcontrolregion', action="store", type="int", dest="ttbarcontrolregion", default=0)
parser.add_option('--mlvjregion', action="store", type="string", dest="mlvjregion", default="_sb_lo")
parser.add_option('--fitjetmass', action="store", type="int", dest="fitjetmass", default=0)
parser.add_option('--onlybackgroundfit', action="store", type="int", dest="onlybackgroundfit", default=0, help='run only background fit')
parser.add_option('--inflatejobstatistic', action="store", type="int", dest="inflatejobstatistic", default=1, help='enlarge the generated statistics in the fit')
parser.add_option('--scalesignalwidth', action="store", type="int", dest="scalesignalwidth", default=1, help='reduce the signal width by a factor x')
##### final plot options
parser.add_option('--makeSMLimitPlot', action="store", type="int", dest="makeSMLimitPlot", default=0)
parser.add_option('--makeBSMLimitPlotMass', action="store", type="int", dest="makeBSMLimitPlotMass", default=0)
parser.add_option('--makeBSMLimitPlotBRnew', action="store", type="int", dest="makeBSMLimitPlotBRnew", default=0)
parser.add_option('--makeBSMLimitPlot2D', action="store", type="int", dest="makeBSMLimitPlot2D", default=0)
parser.add_option('--blindObservedLine', action="store", type="int", dest="blindObservedLine", default=1)
parser.add_option('--plotPValue', action="store", type="int", dest="plotPValue", default=0)
parser.add_option('--plotSignalStrenght', action="store", type="int", dest="plotSignalStrenght", default=0)
parser.add_option('--plotLikelihoodScan', action="store", type="int", dest="plotLikelihoodScan", default=0)
(options, args) = parser.parse_args()
#############################################
######### Get Some Global Variables #########
#############################################
mass = [ 600, 700, 800, 900,1000] ## define the mass point considered for the analysis
ccmlo = [ 550, 600, 700, 750, 800]
ccmhi = [ 700, 850, 950,1100,1200]
mjlo = [ 40, 40, 40, 40, 40] ## min mJ cut
mjhi = [ 130, 130, 130, 130, 130] ## max mJ cut
################## options turnOn Analysis
if options.turnOnAnalysis :
mlo = [ 400, 400, 400, 400, 400] ## min mlvj cut
mhi = [1500,1500,1500,1500,1500] ## max mlvj cut
else:
mlo = [ 550, 550, 550, 550, 550] ## min mlvj cut
mhi = [1500,1500,1500,1500,1500] ## max mlvj cut
################## options for makeCards
if options.makeCards and options.turnOnAnalysis:
shapeAlt = ["ErfExp_v1","ErfExp_v1","ErfExp_v1","ErfExp_v1","ErfExp_v1"] ## basic shape
shape = ["ErfPow2_v1", "ErfPow2_v1","ErfPow2_v1","ErfPow2_v1","ErfPow2_v1"] ## alternate one
elif not options.turnOnAnalysis and options.makeCards:
shape = ["Exp","Exp","Exp","Exp","Exp"] ## basic shape
shapeAlt = ["Pow","Pow","Pow","Pow","Pow"] ## alternate one
################## options for bias Study
if options.biasStudy:
if not options.turnOnAnalysis and not options.fitjetmass:
# shape_gen = ["Exp","Exp","Exp","Exp","Exp"]
shape_fit = ["Exp","Exp","Exp","Exp","Exp"]
shape_gen = ["Pow2","Pow2","Pow2","Pow2","Pow2"]
# shape_fit = ["Pow2","Pow2","Pow2","Pow2","Pow2"]
# shape_gen = ["Pow","Pow","Pow","Pow","Pow"]
# shape_fit = ["Pow","Pow","Pow","Pow","Pow"]
elif options.turnOnAnalysis and not options.fitjetmass:
shape_gen = ["ErfExp_v1","ErfExp_v1","ErfExp_v1","ErfExp_v1","ErfExp_v1"];
shape_fit = ["ErfExp_v1","ErfExp_v1","ErfExp_v1","ErfExp_v1","ErfExp_v1"];
# shape_gen = ["ErfPowExp_v1","ErfPowExp_v1","ErfPowExp_v1","ErfPowExp_v1","ErfPowExp_v1"];
# shape_fit = ["ErfPowExp_v1","ErfPowExp_v1","ErfPowExp_v1","ErfPowExp_v1","ErfPowExp_v1"];
# shape_gen = ["ErfPow_v1","ErfPow_v1","ErfPow_v1","ErfPow_v1","ErfPow_v1"];
# shape_fit = ["ErfPow_v1","ErfPow_v1","ErfPow_v1","ErfPow_v1","ErfPow_v1"];
elif options.fitjetmass:
# shape_gen = ["ErfExp","ErfExp","ErfExp","ErfExp","ErfExp"];
# shape_fit = ["ErfExp","ErfExp","ErfExp","ErfExp","ErfExp"];
# shape_gen = ["User1","User1","User1","User1","User1"];
shape_fit = ["User1","User1","User1","User1","User1"];
shape_gen = ["ErfPow","ErfPow","ErfPow","ErfPow","ErfPow"];
# shape_fit = ["ErfPow","ErfPow","ErfPow","ErfPow","ErfPow"];
isMC = [0,0,0,0,0];
cprime = [01,02,03,05,07,10]
BRnew = [00,01,02,03,04,05]
#cprime = [10]
#BRnew = [00]
########################################
###### Make Asymptotic Limit Plot ######
########################################
def getAsymLimits(file):
f = ROOT.TFile(file);
t = f.Get("limit");
entries = t.GetEntries();
lims = [0,0,0,0,0,0];
limit_entries = 0;
for i in range(entries):
t.GetEntry(i);
t_quantileExpected = t.quantileExpected;
t_limit = t.limit;
#print "limit: ", t_limit, ", quantileExpected: ",t_quantileExpected;
if t_quantileExpected == -1.: lims[0] += t_limit;
elif t_quantileExpected >= 0.024 and t_quantileExpected <= 0.026: lims[1] += t_limit;
elif t_quantileExpected >= 0.15 and t_quantileExpected <= 0.17: lims[2] += t_limit;
elif t_quantileExpected == 0.5: lims[3] += t_limit; limit_entries += 1 ;
elif t_quantileExpected >= 0.83 and t_quantileExpected <= 0.85: lims[4] += t_limit;
elif t_quantileExpected >= 0.974 and t_quantileExpected <= 0.976: lims[5] += t_limit;
else: print "Unknown quantile!"
lims[0] = lims[0]/limit_entries ;
lims[1] = lims[1]/limit_entries ;
lims[2] = lims[2]/limit_entries ;
lims[3] = lims[3]/limit_entries ;
lims[4] = lims[4]/limit_entries ;
lims[5] = lims[5]/limit_entries ;
return lims;
########################################
###### Submit batch job for cards ######
########################################
def submitBatchJob( command, fn ):
currentDir = os.getcwd();
# create a dummy bash/csh
outScript = open(fn+".sh","w");
if not options.lxbatchCern and not options.herculesMilano :
outScript.write('#!/bin/bash');
outScript.write("\n"+'date');
outScript.write("\n"+'source /uscmst1/prod/sw/cms/bashrc prod');
outScript.write("\n"+'echo "condor dir: " ${_CONDOR_SCRATCH_DIR}');
outScript.write("\n"+'cd '+currentDir);
outScript.write("\n"+'eval `scram runtime -sh`');
outScript.write("\n"+'cd -');
outScript.write("\n"+'export PATH=${PATH}:'+currentDir);
outScript.write("\n"+'echo ${PATH}');
outScript.write("\n"+'ls');
outScript.write("\n"+command);
outScript.write("\n"+'tar -cvzf outputFrom_'+fn+'.tar.gz *');
outScript.close();
condorScript = open("condor_"+fn,"w");
condorScript.write('universe = vanilla')
condorScript.write("\n"+"Executable = "+fn+".sh")
condorScript.write("\n"+'Requirements = Memory >= 199 &&OpSys == "LINUX"&& (Arch != "DUMMY" )&& Disk > 1000000')
condorScript.write("\n"+'Should_Transfer_Files = YES')
condorScript.write("\n"+'Transfer_Input_Files = doFit_class_higgs.py, BiasStudy/do_fitBias_higgs.py, AutoDict_std__map_std__string_std__string__cxx.so')
condorScript.write("\n"+'WhenToTransferOutput = ON_EXIT_OR_EVICT')
condorScript.write("\n"+'Output = out_$(Cluster).stdout')
condorScript.write("\n"+'Error = out_$(Cluster).stderr')
condorScript.write("\n"+'Error = out_$(Cluster).stderr')
condorScript.write("\n"+'Log = out_$(Cluster).log')
condorScript.write("\n"+'Notification = Error')
condorScript.write("\n"+'Queue 1')
condorScript.close();
os.system("condor_submit "+"condor_"+fn);
elif options.lxbatchCern and not options.herculesMilano:
outScript.write('#!/bin/bash');
outScript.write("\n"+'cd '+currentDir);
outScript.write("\n"+'eval `scram runtime -sh`');
outScript.write("\n"+'export PATH=${PATH}:'+currentDir);
outScript.write("\n"+'echo ${PATH}');
outScript.write("\n"+'ls');
outScript.write("\n"+command);
outScript.write("\n"+'rm *.out');
outScript.close();
os.system("chmod 777 "+currentDir+"/"+fn+".sh");
if options.queque != "":
os.system("bsub -q "+options.queque+" -cwd "+currentDir+" "+fn+".sh");
else:
os.system("bsub -q 8nh -cwd "+currentDir+" "+fn+".sh");
elif not options.lxbatchCern and options.herculesMilano:
outScript.write('#!/bin/bash');
outScript.write("\n"+'cd '+currentDir);
outScript.write("\n"+'eval `scram runtime -sh`');
outScript.write("\n"+'cd -');
outScript.write("\n"+'cp '+currentDir+'/BiasStudy/do_fitBias_higgs.py ./');
outScript.write("\n"+'cp '+currentDir+'/doFit_class_higgs.py ./');
outScript.write("\n"+'ls');
outScript.write("\n"+"unbuffer "+command+" > /gwteray/users/brianza/output"+fn+".txt");
outScript.close();
os.system("chmod 777 "+currentDir+"/"+fn+".sh");
if options.queque != "":
os.system("qsub -V -d "+currentDir+" -q "+options.queque+" "+currentDir+"/"+fn+".sh");
else:
os.system("qsub -V -d "+currentDir+" -q longcms "+currentDir+"/"+fn+".sh");
##########################################
###### Submit batch job for combine ######
##########################################
def submitBatchJobCombine( command, fn, mass, cprime, BRnew ):
if options.sigChannel !="":
SIGCH = options.jetBin+"_"+options.sigChannel;
else:
SIGCH = options.jetBin;
currentDir = os.getcwd();
# create a dummy bash/csh
outScript = open(fn+".sh","w");
file1 = "hwwlvj_ggH%03d_em%s_%02d_%02d_unbin.txt"%(mass,SIGCH,cprime,BRnew);
file2 = "hwwlvj_ggH%03d_mu%s_%02d_%02d_workspace.root"%(mass,SIGCH,cprime,BRnew);
file3 = "hwwlvj_ggH%03d_el%s_%02d_%02d_workspace.root"%(mass,SIGCH,cprime,BRnew);
if not options.lxbatchCern and not options.herculesMilano :
outScript.write('#!/bin/bash');
outScript.write("\n"+'date');
outScript.write("\n"+'source /uscmst1/prod/sw/cms/bashrc prod');
outScript.write("\n"+'cd '+currentDir);
outScript.write("\n"+'eval `scram runtime -sh`');
outScript.write("\n"+'cd -');
outScript.write("\n"+'ls');
outScript.write("\n"+command);
if options.inputGeneratedDataset != "" and options.generateOnly:
outScript.write("\n "+"mv higgsCombine* "+currentDir+"/"+options.inputGeneratedDataset);
outScript.write("\n "+"rm rootstats* ");
outScript.close();
# link a condor script to your shell script
condorScript = open("subCondor_"+fn,"w");
condorScript.write('universe = vanilla')
condorScript.write("\n"+"Executable = "+fn+".sh")
condorScript.write("\n"+'Requirements = Memory >= 199 &&OpSys == "LINUX"&& (Arch != "DUMMY" )&& Disk > 1000000')
condorScript.write("\n"+'Should_Transfer_Files = YES')
condorScript.write("\n"+'Transfer_Input_Files = '+file1+', '+file2+', '+file3)
condorScript.write("\n"+'WhenToTransferOutput = ON_EXIT_OR_EVICT')
condorScript.write("\n"+'Output = out_$(Cluster).stdout')
condorScript.write("\n"+'Error = out_$(Cluster).stderr')
condorScript.write("\n"+'Error = out_$(Cluster).stderr')
condorScript.write("\n"+'Log = out_$(Cluster).log')
condorScript.write("\n"+'Notification = Error')
condorScript.write("\n"+'Queue 1')
condorScript.close();
# submit the condor job
os.system("condor_submit "+"subCondor_"+fn)
elif options.lxbatchCern and not options.herculesMilano:
outScript.write('#!/bin/bash');
outScript.write("\n"+'date');
outScript.write("\n"+'cd '+currentDir);
outScript.write("\n"+'eval `scram runtime -sh`');
outScript.write("\n"+'cd -');
outScript.write("\n"+'ls');
file1 = "hwwlvj_ggH%03d_%s%s_%02d_%02d_unbin.txt"%(mass,options.channel,SIGCH,cprime,BRnew);
file2 = "hwwlvj_ggH%03d_mu%s_%02d_%02d_workspace.root"%(mass,SIGCH,cprime,BRnew);
file3 = "hwwlvj_ggH%03d_el%s_%02d_%02d_workspace.root"%(mass,SIGCH,cprime,BRnew);
file4 = "hwwlvj_ggH%03d_em%s_%02d_%02d_workspace.root"%(mass,SIGCH,cprime,BRnew);
outScript.write("\n"+'cp '+currentDir+'/'+file1+' ./');
outScript.write("\n"+'cp '+currentDir+'/'+file2+' ./');
outScript.write("\n"+'cp '+currentDir+'/'+file3+' ./');
outScript.write("\n"+'cp '+currentDir+'/'+file4+' ./');
outScript.write("\n"+command);
if options.inputGeneratedDataset != "" and options.generateOnly:
outScript.write("\n "+"mv higgsCombine* "+currentDir+"/"+options.inputGeneratedDataset);
outScript.write("\n "+"rm rootstats* ");
outScript.close();
os.system("chmod 777 "+currentDir+"/"+fn+".sh");
if options.queque!="" :
os.system("bsub -q "+options.queque+" -cwd "+currentDir+" "+fn+".sh");
else:
os.system("bsub -q 8nh -cwd "+currentDir+" "+fn+".sh");
elif not options.lxbatchCern and options.herculesMilano:
outScript.write('#!/bin/bash');
outScript.write("\n"+'date');
outScript.write("\n"+'cd '+currentDir);
outScript.write("\n"+'eval `scram runtime -sh`');
outScript.write("\n"+'cd -');
outScript.write("\n"+'ls');
file1 = "hwwlvj_ggH%03d_%s%s_%02d_%02d_unbin.txt"%(mass,options.channel,SIGCH,cprime,BRnew);
file2 = "hwwlvj_ggH%03d_mu%s_%02d_%02d_workspace.root"%(mass,SIGCH,cprime,BRnew);
file3 = "hwwlvj_ggH%03d_el%s_%02d_%02d_workspace.root"%(mass,SIGCH,cprime,BRnew);
file4 = "hwwlvj_ggH%03d_em%s_%02d_%02d_workspace.root"%(mass,SIGCH,cprime,BRnew);
outScript.write("\n"+'cp '+currentDir+'/'+file1+' ./');
outScript.write("\n"+'cp '+currentDir+'/'+file2+' ./');
outScript.write("\n"+'cp '+currentDir+'/'+file3+' ./');
outScript.write("\n"+'cp '+currentDir+'/'+file4+' ./');
outScript.write("\n"+command);
if options.inputGeneratedDataset != "" and options.generateOnly:
outScript.write("\n "+"mv higgsCombine* "+currentDir+"/"+options.inputGeneratedDataset);
outScript.write("\n "+"rm rootstats* ");
outScript.close();
os.system("chmod 777 "+currentDir+"/"+fn+".sh");
if options.queque != "":
os.system("qsub -V -d "+currentDir+" -q "+options.queque+" "+currentDir+"/"+fn+".sh");
else:
os.system("qsub -V -d "+currentDir+" -q longcms "+currentDir+"/"+fn+".sh");
#####################################
###### definition of the style ######
#####################################
def setStyle():
gStyle.SetPadBorderMode(0);
gStyle.SetFrameBorderMode(0);
gStyle.SetPadBottomMargin(0.12);
gStyle.SetPadLeftMargin(0.12);
gStyle.SetCanvasColor(ROOT.kWhite);
gStyle.SetCanvasDefH(600); #Height of canvas
gStyle.SetCanvasDefW(600); #Width of canvas
gStyle.SetCanvasDefX(0); #POsition on screen
gStyle.SetCanvasDefY(0);
gStyle.SetPadTopMargin(0.05);
gStyle.SetPadBottomMargin(0.15);#0.13);
gStyle.SetPadLeftMargin(0.15);#0.16);
gStyle.SetPadRightMargin(0.05);#0.02);
# For the Pad:
gStyle.SetPadBorderMode(0);
gStyle.SetPadColor(ROOT.kWhite);
gStyle.SetPadGridX(ROOT.kFALSE);
gStyle.SetPadGridY(ROOT.kFALSE);
gStyle.SetGridColor(0);
gStyle.SetGridStyle(3);
gStyle.SetGridWidth(1);
# For the frame:
gStyle.SetFrameBorderMode(0);
gStyle.SetFrameBorderSize(1);
gStyle.SetFrameFillColor(0);
gStyle.SetFrameFillStyle(0);
gStyle.SetFrameLineColor(1);
gStyle.SetFrameLineStyle(1);
gStyle.SetFrameLineWidth(1);
gStyle.SetAxisColor(1, "XYZ");
gStyle.SetStripDecimals(ROOT.kTRUE);
gStyle.SetTickLength(0.03, "XYZ");
gStyle.SetNdivisions(505, "XYZ");
gStyle.SetPadTickX(1); # To get tick marks on the opposite side of the frame
gStyle.SetPadTickY(1);
gStyle.SetGridColor(0);
gStyle.SetGridStyle(3);
gStyle.SetGridWidth(1);
gStyle.SetTitleColor(1, "XYZ");
gStyle.SetTitleFont(42, "XYZ");
gStyle.SetTitleSize(0.05, "XYZ");
gStyle.SetTitleXOffset(1.15);#0.9);
gStyle.SetTitleYOffset(1.3); # => 1.15 if exponents
gStyle.SetLabelColor(1, "XYZ");
gStyle.SetLabelFont(42, "XYZ");
gStyle.SetLabelOffset(0.007, "XYZ");
gStyle.SetLabelSize(0.045, "XYZ");
gStyle.SetPadBorderMode(0);
gStyle.SetFrameBorderMode(0);
gStyle.SetTitleTextColor(1);
gStyle.SetTitleFillColor(10);
gStyle.SetTitleFontSize(0.05);
gStyle.SetOptStat(0);
gStyle.SetOptTitle(0)
gStyle.SetOptFit(1)
NRGBs = 5
NCont = 255
stops = [ 0.00, 0.34, 0.61, 0.84, 1.00 ]
red = [ 0.00, 0.00, 0.87, 1.00, 0.51 ]
green = [ 0.00, 0.81, 1.00, 0.20, 0.00 ]
blue = [ 0.51, 1.00, 0.12, 0.00, 0.00 ]
stopsArray = array('d', stops)
redArray = array('d', red)
greenArray = array('d', green)
blueArray = array('d', blue)
TColor.CreateGradientColorTable(NRGBs, stopsArray, redArray, greenArray, blueArray, NCont)
gStyle.SetNumberContours(NCont)
####################################################
### Get PValue from combine -M ProfileLikelihood ###
####################################################
def getPValueFromCard(file,observed):
f = ROOT.TFile(file);
t = f.Get("limit");
entries = t.GetEntries();
lims = 0;
for i in range(entries):
t.GetEntry(i);
lims += t.limit ;
return lims/entries;
##############################
#### Make SM Limits Plots ####
##############################
def makeSMLimitPlot(SIGCH,cprime = 10, brnew = 00):
nPoints = len(mass);
xbins = array('f', []); xbins_env = array('f', []);
ybins_exp = array('f', []); ybins_obs = array('f', []);
ybins_1s = array('f', []); ybins_2s = array('f', []);
setStyle();
for i in range(len(mass)):
curFile = "higgsCombinehwwlvj_ggH%03d_%s%s_%02d_%02d_unbin.Asymptotic.mH%03d.root"%(mass[i],options.channel,SIGCH,cprime,brnew,mass[i]);
curAsymLimits = getAsymLimits(curFile);
xbins.append( mass[i] );
xbins_env.append( mass[i] );
ybins_exp.append( curAsymLimits[3] );
ybins_obs.append( curAsymLimits[0] );
ybins_2s.append( curAsymLimits[1] );
ybins_1s.append( curAsymLimits[2] );
for i in range( len(mass)-1, -1, -1 ):
curFile = "higgsCombinehwwlvj_ggH%03d_%s%s_%02d_%02d_unbin.Asymptotic.mH%03d.root"%(mass[i],options.channel,SIGCH,cprime,brnew,mass[i]);
curAsymLimits = getAsymLimits(curFile);
xbins_env.append( mass[i] );
ybins_2s.append( curAsymLimits[5] );
ybins_1s.append( curAsymLimits[4] );
curGraph_exp = ROOT.TGraphAsymmErrors(nPoints,xbins,ybins_exp);
curGraph_obs = ROOT.TGraphAsymmErrors(nPoints,xbins,ybins_obs);
curGraph_1s = ROOT.TGraphAsymmErrors(nPoints*2,xbins_env,ybins_1s);
curGraph_2s = ROOT.TGraphAsymmErrors(nPoints*2,xbins_env,ybins_2s);
curGraph_obs.SetMarkerStyle(20);
curGraph_obs.SetLineWidth(3);
curGraph_obs.SetLineStyle(1);
curGraph_obs.SetMarkerSize(1.6);
curGraph_exp.SetMarkerSize(1.3);
curGraph_exp.SetMarkerColor(ROOT.kBlack);
curGraph_exp.SetLineStyle(2);
curGraph_exp.SetLineWidth(3);
curGraph_exp.SetMarkerSize(2);
curGraph_exp.SetMarkerStyle(24);
curGraph_exp.SetMarkerColor(ROOT.kBlack);
curGraph_1s.SetFillColor(ROOT.kGreen);
curGraph_1s.SetFillStyle(1001);
curGraph_1s.SetLineStyle(ROOT.kDashed);
curGraph_1s.SetLineWidth(3);
curGraph_2s.SetFillColor(ROOT.kYellow);
curGraph_2s.SetFillStyle(1001);
curGraph_2s.SetLineStyle(ROOT.kDashed);
curGraph_2s.SetLineWidth(3);
oneLine = ROOT.TF1("oneLine","1",599,1001);
oneLine.SetLineColor(ROOT.kRed);
oneLine.SetLineWidth(3);
setStyle();
can_SM = ROOT.TCanvas("can_SM","can_SM",600,650);
hrl_SM = can_SM.DrawFrame(599,0.0,1001,ROOT.TMath.MaxElement(curGraph_2s.GetN(),curGraph_2s.GetY())*1.2);
hrl_SM.GetYaxis().SetTitle("#mu = #sigma_{95%} / #sigma_{SM}");
hrl_SM.GetYaxis().SetTitleOffset(1.35);
hrl_SM.GetYaxis().SetTitleSize(0.045);
hrl_SM.GetYaxis().SetTitleFont(42);
hrl_SM.GetXaxis().SetTitle("M_{H} (GeV)");
hrl_SM.GetXaxis().SetTitleSize(0.045);
hrl_SM.GetXaxis().SetTitleFont(42);
hrl_SM.GetYaxis().SetNdivisions(505);
can_SM.SetGridx(1);
can_SM.SetGridy(1);
curGraph_2s.Draw("F");
curGraph_1s.Draw("Fsame");
if not options.blindObservedLine : curGraph_obs.Draw("PCsame");
curGraph_exp.Draw("Csame");
leg2 = ROOT.TLegend(0.3,0.65,0.75,0.9);
leg2.SetFillColor(0);
leg2.SetShadowColor(0);
leg2.SetTextFont(42);
leg2.SetTextSize(0.028);
leg2.AddEntry(curGraph_exp,"Asympt. CL_{S} Expected","L")
leg2.AddEntry(curGraph_1s, "Asympt. CL_{S} Expected #pm 1#sigma","LF")
leg2.AddEntry(curGraph_2s, "Asympt. CL_{S} Expected #pm 2#sigma","LF")
if not options.blindObservedLine: leg2.AddEntry(curGraph_obs,"Asympt. CL_{S} Observed","LP")
can_SM.Update();
can_SM.RedrawAxis();
can_SM.RedrawAxis("g");
can_SM.Update();
leg2.Draw();
banner = TPaveText( 0.145, 0.953, 0.56, 0.975, "brNDC");
banner.SetFillColor(ROOT.kWhite);
banner.SetTextSize(0.038);
banner.SetTextAlign(11);
banner.SetTextFont(62);
banner.SetBorderSize(0);
leftText = "CMS Preliminary";
banner.AddText(leftText);
banner.Draw();
label_sqrt = TPaveText(0.5,0.953,0.96,0.975, "brNDC");
label_sqrt.SetFillColor(ROOT.kWhite);
label_sqrt.SetBorderSize(0);
label_sqrt.SetTextSize(0.038);
label_sqrt.SetTextFont(62);
label_sqrt.SetTextAlign(31); # align right
label_sqrt.AddText("L = 19.3 fb^{-1} at #sqrt{s} = 8 TeV");
label_sqrt.Draw();
os.system("mkdir -p %s/limitFigs/"%(os.getcwd()));
can_SM.SaveAs("limitFigs/SMLim_%s_%02d_%02d.png"%(options.channel,cprime,brnew));
can_SM.SaveAs("limitFigs/SMLim_%s_%02d_%02d.pdf"%(options.channel,cprime,brnew));
##############################
#### Make SM PValue Plots ####
##############################
def makeSMPValuePlot(SIGCH,cprime = 10,brnew = 00):
nPoints = len(mass);
xbins_obs = array('f', []);
xbins_exp = array('f', []);
ybins_obs = array('f', []);
ybins_exp = array('f', []);
setStyle();
for i in range(len(mass)):
curFile_obs = "higgsCombinehwwlvj_pval_obs_ggH%03d_%s%s_%02d_%02d_unbin.ProfileLikelihood.mH%03d.root"%(mass[i],options.channel,SIGCH,cprime,brnew,mass[i]);
curFile_exp = "higgsCombinehwwlvj_pval_exp_ggH%03d_%s%s_%02d_%02d_unbin.ProfileLikelihood.mH%03d.root"%(mass[i],options.channel,SIGCH,cprime,brnew,mass[i]);
xbins_obs.append(mass[i]);
xbins_exp.append(mass[i]);
print "higgsCombinehwwlvj_pval_obs_ggH%03d_%s%s_%02d_%02d_unbin.ProfileLikelihood.mH%03d.root"%(mass[i],options.channel,SIGCH,cprime,brnew,mass[i]);
ybins_obs.append(getPValueFromCard(curFile_obs,1));
print "higgsCombinehwwlvj_pval_exp_ggH%03d_%s%s_%02d_%02d_unbin.ProfileLikelihood.mH%03d.root"%(mass[i],options.channel,SIGCH,cprime,brnew,mass[i]);
ybins_exp.append(getPValueFromCard(curFile_exp,0));
gr_obs = ROOT.TGraphAsymmErrors(nPoints,xbins_obs,ybins_obs);
gr_exp = ROOT.TGraphAsymmErrors(nPoints,xbins_exp,ybins_exp);
gr_obs.SetLineColor(1); gr_obs.SetMarkerColor(1); gr_obs.SetMarkerStyle(20); gr_obs.SetLineWidth(3);gr_obs.SetMarkerSize(1.6);
gr_exp.SetLineColor(2); gr_exp.SetMarkerColor(2); gr_exp.SetMarkerStyle(20); gr_exp.SetLineWidth(3);gr_exp.SetMarkerSize(1.6);
gr_exp.SetLineStyle(8);
oneSLine = ROOT.TF1("oneSLine","1.58655253931457074e-01",mass[0],mass[len(mass)-1]);
oneSLine.SetLineColor(ROOT.kRed); oneSLine.SetLineWidth(2); oneSLine.SetLineStyle(2);
twoSLine = ROOT.TF1("twoSLine","2.27501319481792155e-02",mass[0],mass[len(mass)-1]);
twoSLine.SetLineColor(ROOT.kRed); twoSLine.SetLineWidth(2); twoSLine.SetLineStyle(2);
threeSLine = ROOT.TF1("threeSLine","1.34989803163009588e-03",mass[0],mass[len(mass)-1]);
threeSLine.SetLineColor(ROOT.kRed); threeSLine.SetLineWidth(2); threeSLine.SetLineStyle(2);
fourSLine = ROOT.TF1("fourSLine","3.16712418331199785e-05",mass[0],mass[len(mass)-1]);
fourSLine.SetLineColor(ROOT.kRed); fourSLine.SetLineWidth(2); fourSLine.SetLineStyle(2);
banner = TLatex(0.32,0.955,("CMS Preliminary, 19.3 fb^{-1} at #sqrt{s}=8TeV"));
banner.SetNDC(); banner.SetTextSize(0.035);
ban1s = TLatex(950,1.58655253931457074e-01,("1 #sigma"));
ban1s.SetTextSize(0.028); ban1s.SetTextColor(1)
ban2s = TLatex(950,2.27501319481792155e-02,("2 #sigma"));
ban2s.SetTextSize(0.028); ban2s.SetTextColor(1)
ban3s = TLatex(950,1.34989803163009588e-03,("3 #sigma"));
ban3s.SetTextSize(0.028); ban3s.SetTextColor(1);
ban4s = TLatex(950,3.16712418331199785e-05,("4 #sigma"));
ban4s.SetTextSize(0.028); ban4s.SetTextColor(1)
leg2 = ROOT.TLegend(0.25,0.2,0.6,0.35);
leg2.SetFillStyle(0);
leg2.SetBorderSize(1);
leg2.SetTextFont(42);
leg2.SetTextSize(0.028);
if options.jetBin == "":
leg2.AddEntry( gr_obs, "obs signif, %s "%options.channel, "pl" );
leg2.AddEntry( gr_exp, "exp signif, SM Higgs", "pl" );
else:
leg2.AddEntry( gr_obs, "obs signif, VBF e+mu", "pl" );
leg2.AddEntry( gr_exp, "exp signif, SM Higgs", "pl" );
zeroLine = ROOT.TF1("zeroLine","0.5",mass[0],mass[len(mass)-1]);
zeroLine.SetLineColor(ROOT.kBlue); oneSLine.SetLineWidth(2);
can = ROOT.TCanvas("can","can",600,650);
hrl = can.DrawFrame(mass[0],1e-6,mass[len(mass)-1],1.);
hrl.GetYaxis().SetTitle("p-value");
hrl.GetXaxis().SetTitle("m_{H} (GeV)");
can.SetGrid();
ROOT.gPad.SetLogy();
gr_obs.Draw("PL");
gr_exp.Draw("PLsame");
zeroLine.Draw("same");
oneSLine.Draw("same");
twoSLine.Draw("same");
threeSLine.Draw("same");
fourSLine.Draw("same");
banner.Draw();
leg2.Draw();
ban1s.Draw();
ban2s.Draw();
ban3s.Draw();
ban4s.Draw();
os.system("mkdir -p %s/limitFigs/"%(os.getcwd()));
can.SaveAs("limitFigs/SMPvals_%s_%02d_%02d.pdf"%(options.channel,cprime,brnew),"pdf");
can.SaveAs("limitFigs/SMPvals_%s_%02d_%02d.png"%(options.channel,cprime,brnew),"png");
####################################
#### Make Signal Strenght Plots ####
####################################
def makeSignalStrenghtPlot(SIGCH,cprime = 10,brnew = 00):
nPoints = len(mass);
xbins_mu = array('f', []);
xbins_mu_err_up = array('f', []);
xbins_mu_err_dn = array('f', []);
ybins_mu = array('f', []);
ybins_mu_err_up = array('f', []);
ybins_mu_err_dn = array('f', []);
ybins_mu_err_up_2s = array('f', []);
ybins_mu_err_dn_2s = array('f', []);
ybins_mu_ratio = array('f', []);
xbins_obs = array('f', [0.]);
ybins_obs = array('f', [0.]);
setStyle();
for i in range(len(mass)):
curFile = "higgsCombinehwwlvj_ggH%03d_%s%s_%02d_%02d_unbin.MaxLikelihoodFit.mH%03d.root"%(mass[i],options.channel,SIGCH,cprime,brnew,mass[i]);
f = ROOT.TFile(curFile);
t = f.Get("limit");
entries = t.GetEntries();
mu = 0;
effect_entry = 0 ;
mu_err_up = 0 ; mu_err_dn = 0 ;
mu_err_up_2s = 0 ; mu_err_dn_2s = 0 ;
mu_temp = 0 ;
for ientry in range(t.GetEntries()):
t.GetEntry(ientry);
if t.quantileExpected == 0.5 : mu += t.limit ; effect_entry += 1; mu_temp = t.limit ; continue ;
if t.quantileExpected > 0.15 and t.quantileExpected < 0.17 : mu_err_dn += abs(t.limit-mu_temp) ; continue ;
if t.quantileExpected > 0.83 and t.quantileExpected < 0.85 : mu_err_up += abs(t.limit-mu_temp) ; continue ;
if t.quantileExpected >= 0.024 and t.quantileExpected <= 0.026: mu_err_up_2s += abs(t.limit-mu_temp) ; continue ;
if t.quantileExpected >= 0.974 and t.quantileExpected <= 0.976: mu_err_dn_2s += abs(t.limit-mu_temp) ; continue ;
mu = mu/effect_entry;
mu_err_dn = mu_err_dn/effect_entry;
mu_err_up = mu_err_up/effect_entry;
mu_err_dn_2s = mu_err_dn_2s/effect_entry;
mu_err_up_2s = mu_err_up_2s/effect_entry;
xbins_mu.append(mass[i]);
xbins_mu_err_up.append(0.);
xbins_mu_err_dn.append(0.);
ybins_mu.append(mu);
ybins_mu_err_up.append(mu_err_up);
ybins_mu_err_dn.append(mu_err_dn);
ybins_mu_err_up_2s.append(mu_err_up_2s);
ybins_mu_err_dn_2s.append(mu_err_dn_2s);
if mu >= 0 : ybins_mu_ratio.append(mu/mu_err_dn);
else: ybins_mu_ratio.append(mu/mu_err_up);
if options.plotPValue == 1:
curFile_obs = "higgsCombinehwwlvj_pval_obs_ggH%03d_%s%s_%02d_%02d_unbin.ProfileLikelihood.mH%03d.root"%(mass[i],options.channel,SIGCH,cprime,brnew,mass[i]);
xbins_obs.append(mass[i]);
ybins_obs.append(getPValueFromCard(curFile_obs,1));
gr_mu_1 = ROOT.TGraphAsymmErrors(nPoints,xbins_mu,ybins_mu);
gr_mu_1.SetLineColor(1); gr_mu_1.SetMarkerColor(1); gr_mu_1.SetMarkerStyle(20); gr_mu_1.SetLineWidth(3);gr_mu_1.SetMarkerSize(1.6);
gr_mu_ratio = ROOT.TGraphAsymmErrors(nPoints,xbins_mu,ybins_mu_ratio);
gr_mu_ratio.SetLineColor(1); gr_mu_ratio.SetMarkerColor(1); gr_mu_ratio.SetMarkerStyle(20); gr_mu_ratio.SetLineWidth(3);gr_mu_ratio.SetMarkerSize(1.6);
gr_mu_1_1s = ROOT.TGraphAsymmErrors(nPoints,xbins_mu,ybins_mu,xbins_mu_err_dn,xbins_mu_err_up,ybins_mu_err_dn,ybins_mu_err_up);
gr_mu_1_1s.SetLineColor(1); gr_mu_1_1s.SetMarkerColor(1); gr_mu_1_1s.SetMarkerStyle(20); gr_mu_1_1s.SetLineWidth(5); gr_mu_1_1s.SetMarkerSize(1.6);
gr_mu_1_2s = ROOT.TGraphAsymmErrors(nPoints,xbins_mu,ybins_mu,xbins_mu_err_dn,xbins_mu_err_up,ybins_mu_err_dn_2s,ybins_mu_err_up_2s);
gr_mu_1_2s.SetLineColor(ROOT.kBlue); gr_mu_1_2s.SetMarkerColor(ROOT.kBlue); gr_mu_1_2s.SetMarkerStyle(20); gr_mu_1_2s.SetLineWidth(3); gr_mu_1_2s.SetMarkerSize(1.6);
gr_mu_zero_1s = ROOT.TGraphAsymmErrors(nPoints,xbins_mu,xbins_mu_err_up,xbins_mu_err_dn,xbins_mu_err_up,ybins_mu_err_dn,ybins_mu_err_up);
gr_mu_zero_2s = ROOT.TGraphAsymmErrors(nPoints,xbins_mu,xbins_mu_err_up,xbins_mu_err_dn,xbins_mu_err_up,ybins_mu_err_dn_2s,ybins_mu_err_up_2s);
gr_mu_zero_1s.SetFillStyle(3001);
gr_mu_zero_1s.SetFillColor(ROOT.kRed);
gr_mu_zero_2s.SetFillStyle(3002);
gr_mu_zero_2s.SetFillColor(210);
gr_obs = ROOT.TGraphAsymmErrors(nPoints+1,xbins_obs,ybins_obs);
gr_obs.SetLineColor(ROOT.kBlue); gr_obs.SetMarkerColor(ROOT.kBlue); gr_obs.SetMarkerStyle(28); gr_obs.SetLineWidth(3);gr_obs.SetMarkerSize(1.6);
oneSLine0 = ROOT.TF1("oneSLine","0",mass[0]-50,mass[len(mass)-1]+50);
oneSLine0.SetLineColor(ROOT.kRed); oneSLine0.SetLineWidth(2);
oneSLine1 = ROOT.TF1("oneSLine","1",mass[0]-50,mass[len(mass)-1]+50);
oneSLine1.SetLineColor(ROOT.kRed); oneSLine1.SetLineWidth(2); oneSLine1.SetLineStyle(2);
oneSLine2 = ROOT.TF1("oneSLine","2",mass[0]-50,mass[len(mass)-1]+50);
oneSLine2.SetLineColor(ROOT.kRed); oneSLine2.SetLineWidth(2); oneSLine2.SetLineStyle(2);
oneSLine3 = ROOT.TF1("oneSLine","3",mass[0]-50,mass[len(mass)-1]+50);
oneSLine3.SetLineColor(ROOT.kRed); oneSLine3.SetLineWidth(2); oneSLine3.SetLineStyle(2);
banner = TLatex(0.32,0.955,("CMS Preliminary, 19.3 fb^{-1} at #sqrt{s}=8TeV"));
banner.SetNDC(); banner.SetTextSize(0.035);
ban1s = TLatex(950,1.,("#mu SM"));
ban1s.SetTextSize(0.028); ban1s.SetTextColor(1)
leg2 = ROOT.TLegend(0.25,0.2,0.6,0.35);
leg2.SetFillStyle(0);
leg2.SetBorderSize(1);
leg2.SetTextFont(42);
leg2.SetTextSize(0.028);
if options.jetBin == "":
leg2.AddEntry( gr_mu_1, "signal strenght %s "%options.channel, "pl" );
else:
leg2.AddEntry( gr_mu_1, "signal strenght, VBF e+#mu", "pl" );
can = ROOT.TCanvas("can","can",600,650);
hrl = can.DrawFrame(mass[0],-5,mass[len(mass)-1],5);
hrl.GetYaxis().SetTitle("signal strenght");
hrl.GetXaxis().SetTitle("m_{H} (GeV)");
can.SetGrid();
gr_mu_1.Draw("P");
gr_mu_zero_2s.Draw("e3same");
gr_mu_zero_1s.Draw("e3same");
gr_mu_1.Draw("Psame");
oneSLine0.Draw("same");
banner.Draw();
leg2.Draw();
os.system("mkdir -p %s/limitFigs/"%(os.getcwd()));
can.SaveAs("limitFigs/signal_strenght_band_%s%s_%02d_%02d.pdf"%(options.channel,SIGCH,cprime,brnew),"pdf");
can.SaveAs("limitFigs/signal_strenght_band_%s%s_%02d_%02d.png"%(options.channel,SIGCH,cprime,brnew),"png");
can_2 = ROOT.TCanvas("can_2","can_2",600,650);
hrl_2 = can_2.DrawFrame(mass[0]-50,-5,mass[len(mass)-1]+50,5);
hrl_2.GetYaxis().SetTitle("signal strenght");
hrl_2.GetXaxis().SetTitle("m_{H} (GeV)");
can_2.SetGrid();
gr_mu_1_2s.Draw("P");
gr_mu_1_1s.Draw("P");
oneSLine0.Draw("same");
oneSLine1.Draw("same");
oneSLine2.Draw("same");
oneSLine3.Draw("same");
banner.Draw();
leg2.Draw();
os.system("mkdir -p %s/limitFigs/"%(os.getcwd()));
can_2.SaveAs("limitFigs/signal_strenght_%s%s_%02d_%02d.pdf"%(options.channel,SIGCH,cprime,brnew),"pdf");
can_2.SaveAs("limitFigs/signal_strenght_%s%s_%02d_%02d.png"%(options.channel,SIGCH,cprime,brnew),"png");
can_ratio = ROOT.TCanvas("can_ratio","can_ratio",600,650);
hrl_ratio = can_ratio.DrawFrame(mass[0]-50,-5,mass[len(mass)-1]+50,5);
hrl_ratio.GetYaxis().SetTitle("#mu/#sigma_{#mu}");
hrl_ratio.GetXaxis().SetTitle("m_{H} (GeV)");
can_ratio.SetGrid();
leg2.Clear()
if options.jetBin == "":
leg2.AddEntry( gr_mu_ratio, "#sigma_{#mu}/#mu %s "%options.channel, "pl" );
else:
leg2.AddEntry( gr_mu_ratio, "#sigma_{#mu}/#mu, VBF e+#mu", "pl" );
gr_mu_ratio.Draw("P");
if options.plotPValue == 1 : gr_obs.Draw("P"); leg2.AddEntry( gr_obs, "local significance", "pl" );
oneSLine0.Draw("same");
oneSLine1.Draw("same");
oneSLine2.Draw("same");
oneSLine3.Draw("same");
banner.Draw();
leg2.Draw();
os.system("mkdir -p %s/limitFigs/"%(os.getcwd()));
can_ratio.SaveAs("limitFigs/signal_strenght_ratio_%s%s_%02d_%02d.pdf"%(options.channel,SIGCH,cprime,brnew),"pdf");
can_ratio.SaveAs("limitFigs/signal_strenght_ratio_%s%s_%02d_%02d.png"%(options.channel,SIGCH,cprime,brnew),"png");
#################################
### make likelihood scan plot ###
#################################
def makeLikelihoodScanPlot(SIGCH,cprime,brnew):
nPoints = len(mass);
setStyle();
banner = TLatex(0.32,0.955,("CMS Preliminary, 19.3 fb^{-1} at #sqrt{s}=8TeV"));
banner.SetNDC(); banner.SetTextSize(0.035);
leg2 = ROOT.TLegend(0.55,0.65,0.8,0.85);
leg2.SetFillStyle(0);
leg2.SetBorderSize(1);
leg2.SetTextFont(42);
leg2.SetTextSize(0.028);
for i in range(len(mass)):
curFile = "higgsCombinehwwlvj_LikelihoodScan_ggH%03d_%s%s_%02d_%02d_unbin.MultiDimFit.mH%02d.root"%(mass[i],options.channel,SIGCH,cprime,brnew,mass[i]);
f = ROOT.TFile(curFile);
t = f.Get("limit");
xbins_mu = array('f',[]);
ybins_mu = array('f',[]);
for ientry in range(t.GetEntries()):
if ientry == 0 : continue ;
t.GetEntry(ientry);
xbins_mu.append(t.r);
ybins_mu.append(2*t.deltaNLL);
gr_mu = ROOT.TGraph(t.GetEntries()-1,xbins_mu,ybins_mu);
gr_mu.Sort();
gr_mu.SetLineWidth(2);
gr_mu.SetLineColor(2);
gr_mu.SetMarkerStyle(20);
if options.jetBin == "":
leg2.AddEntry(gr_mu, "#mu Likelihood scan %s "%options.channel, "pl" );
else:
leg2.AddEntry(gr_mu, "#mu Likelihood scan, VBF e+#mu", "pl" );
can = ROOT.TCanvas("can_%d"%(mass[i]),"can_%d"%(mass[i]),600,650);
gr_mu.GetYaxis().SetTitle("-2#Delta ln(L)");
gr_mu.GetXaxis().SetTitle("signal strenght");
can.SetGrid();
gr_mu.Draw("AC");
banner.Draw();
leg2.Draw();
os.system("mkdir -p %s/limitFigs/"%(os.getcwd()));
can.SaveAs("limitFigs/LikelihoodScan_%03d_%s%s_%02d_%02d.pdf"%(mass[i],options.channel,SIGCH,cprime,brnew),"pdf");
can.SaveAs("limitFigs/LikelihoodScan_%03d_%s%s_%02d_%02d.png"%(mass[i],options.channel,SIGCH,cprime,brnew),"png");
leg2.Clear();
##############################################
### Make the BSM Limit plot vs mass and c' ###
##############################################
def makeBSMLimitPlotMass(SIGCH,brnew):
print "module ===> makeBSMLimits_vsMass";
curcolors = [1,2,210,4,6,12,7];
nPoints = len(mass);
massCS = [];
if SIGCH == "" or SIGCH == "_2jet":
massCS.append((0.5230+0.09688));
massCS.append((0.2290+0.06330));
massCS.append((0.1097+0.04365));
massCS.append((0.0571+0.03164));
massCS.append((0.0320+0.02399));
elif SIGCH == "_ggH":
massCS.append((0.5230));
massCS.append((0.2290));
massCS.append((0.1097));
massCS.append((0.0571));
massCS.append((0.0320));
elif SIGCH == "_vbfH":
massCS.append((0.09688));
massCS.append((0.06330));
massCS.append((0.04365));
massCS.append((0.03164));
massCS.append((0.02399));
else:
print "problem!"
massBRWW = [5.58E-01,5.77E-01,5.94E-01,6.09E-01,6.21E-01];
gridMaxExp = -999;
gridMaxSigExp = -999;
gridMaxObs = -999;
gridMaxSigObs = -999;
tGraphs_exp = [];
tGraphs_obs = [];