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runLimitsEXO.py
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runLimitsEXO.py
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#! /usr/bin/env python
import os
import glob
import math
import array
import sys
import time
from array import array
import ROOT
from ROOT import gROOT, gStyle, gSystem, TLatex
import subprocess
from subprocess import Popen
from optparse import OptionParser
############################################
# Job steering #
############################################
parser = OptionParser()
parser.add_option('-b', action='store_true', dest='noX', default=False,
help='no X11 windows')
parser.add_option('--makeCards', action='store_true', dest='makeCards', default=False,
help='no X11 windows')
parser.add_option('--computeLimits', action='store_true', dest='computeLimits', default=False,
help='no X11 windows')
parser.add_option('--plotLimits', action='store_true', dest='plotLimits', default=False,
help='no X11 windows')
parser.add_option('--channel',action="store",type="string",dest="channel",default="el")
parser.add_option('--massPoint',action="store",type="int",dest="massPoint",default=-1)
parser.add_option('--cPrime',action="store",type="int",dest="cPrime",default=-1)
parser.add_option('--odir',action="store",type="string",dest="odir",default=".")
parser.add_option('--category',action="store",type="string",dest="category",default="HP")
parser.add_option('--closuretest', action='store',type="int", dest='closuretest', default=0, help='closure test; 0: no test; 1: A1->A2; 2: A->B')
parser.add_option('--batchMode', action='store_true', dest='batchMode', default=False,
help='no X11 windows')
parser.add_option('--limitMode', action='store',type="int", dest='limitMode', default=0, help='limit Mode; 0: Asymptotic ; 1: ProfileLikelihood ; 2: FullCLs ; 3: MaxLikelihoodFit')
(options, args) = parser.parse_args()
############################################################
#globals
mass = [600,700,800,900,1000,1100,1200,1300,1400,1500,1600,1700,1800,1900,2000,2100,2200,2300,2400,2500]
ccmlo = [500,600,700,800,900,1000,1100,1200,1300,1400,1500,1600,1700,1800,1900,2000,2100,2200,2300,2400]
ccmhi = [700,800,900,1000,1100,1200,1300,1400,1500,1600,1700,1800,1900,2000,2100,2200,2300,2400,2500,3000]
mjlo = [ 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40]
mjhi = [ 130, 130, 130, 130, 130, 130, 130, 130, 130, 130, 130, 130, 130, 130, 130, 130, 130, 130, 130, 130]
mlo = [ 400, 400, 700, 700, 700, 700, 700, 700, 700, 700, 700, 700, 700, 700, 700, 700, 700, 700, 700, 700,700]
mhi = [ 1300, 1300, 3000, 3000, 3000, 3000, 3000, 3000, 3000,3000,3000,3000,3000,3000,3000,3000,3000,3000,3000,3000]
shape = ["ErfPowExp_v1","ErfPowExp_v1","ExpN","ExpN","ExpN","ExpN","ExpN","ExpN","ExpN","ExpN","ExpN","ExpN","ExpN","ExpN","ExpN","ExpN","ExpN","ExpN","ExpN","ExpN"]
shapeAlt = ["ErfPow2_v1","ErfPow2_v1","ExpTail","ExpTail","ExpTail","ExpTail","ExpTail","ExpTail","ExpTail","ExpTail","ExpTail","ExpTail","ExpTail","ExpTail","ExpTail","ExpTail","ExpTail","ExpTail","ExpTail","ExpTail"]
#shape = ["ErfPow2_v1","ErfPow2_v1","Exp","Exp","Exp","Exp","Exp","Exp","Exp","Exp","Exp","Exp","Exp","Exp","Exp","Exp","Exp","Exp","Exp","Exp"]
#shapeAlt = ["ErfPow_v1","ErfPow_v1","Pow","Pow","Pow","Pow","Pow","Pow","Pow","Pow","Pow","Pow","Pow","Pow","Pow","Pow","Pow","Pow","Pow","Pow"]
BRnew = 00;
cprime = [10];
#cross-sections for kappa = 0.5
xsDict2 = {
600:0.32298,
700:0.11827,
800:0.04931,
900:0.022506,
1000:0.011035,
1100:0.0056883,
1200:0.0030626,
1300:0.0017003,
1400:0.00097456,
1500:0.00056979,
1600:0.00034149,
1700:0.00020677,
1800:0.000127,
1900:7.9677e-05,
2000:5.0345e-05,
2100:3.198e-05,
2200:2.0502e-05,
2300:1.324e-05,
2400:8.6099e-06,
2500:5.6338e-06}
#cross-sections for kappa = 0.2
xsDict = {600:0.052087,
700:0.019006,
800:0.0079064,
900:0.0036364,
1000:0.0017742,
1100:0.00091785,
1200:0.00049262,
1300:0.00027418,
1400:0.00015697,
1500:9.2073e-05,
1600:5.4715e-05,
1700:3.3199e-05,
1800:2.0367e-05,
1900:1.2723e-05,
2000:8.0046e-06,
2100:5.0566e-06,
2200:3.2608e-06,
2300:2.0938e-06,
2400:1.3566e-06,
2500:8.8518e-07}
############################################################
def submitBatchJob( command, fn ):
currentDir = os.getcwd();
# create a dummy bash/sh
outScript=open(fn+".sh","w");
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 ${PATH}');
outScript.write("\n"+'ls');
outScript.write("\n"+command);
outScript.write("\n"+'tar -cvzf outputFrom_'+fn+'.tar.gz *');
outScript.close();
# link a condor script to your shell script
condorScript=open("condor_"+fn,"w");
condorScript.write('universe = vanilla')
condorScript.write("\n"+"Executable = "+fn+".sh")
condorScript.write("\n"+'Requirements = Memory >= 199 &&OpSys == "LINUX"&& (Arch != "DUMMY" )&& Disk > 1000000')
condorScript.write("\n"+'Should_Transfer_Files = YES')
condorScript.write("\n"+'Transfer_Input_Files = exo_doFit_class.py')
condorScript.write("\n"+'WhenToTransferOutput = ON_EXIT_OR_EVICT')
condorScript.write("\n"+'Output = out_$(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)
# ----------------------------------------
### Submit Combine Jobs on condor
def submitBatchJobCombine( command, fn, channel, mass, cprime, BRnew, purity ):
currentDir = os.getcwd();
# create a dummy bash/csh
outScript=open(fn+".sh","w");
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 ${PATH}');
outScript.write("\n"+'ls');
outScript.write("\n"+command);
if not purity=="em" :
outScript.write("\n"+'tar -cvzf outputFrom_'+fn+'.tar.gz *'+str(mass)+'*'+str(channel)+'*'+str(purity)+'*');
else:
outScript.write("\n"+'tar -cvzf outputFrom_'+fn+'.tar.gz *'+str(mass)+'*'+str(purity)+'*');
outScript.close();
if not purity=="em" :
file1 = "wwlvj_BulkG_c0p2_M%03d_%s_10_00_%s_unbin.txt"%(mass,channel,purity);
file2 = "wwlvj_BulkG_c0p2_M%03d_%s_10_00_%s_workspace.root"%(mass,channel,purity);
else:
file1 = "wwlvj_BulkG_c0p2_M%03d_%s_10_00_unbin.txt"%(mass,purity);
file2 = "wwlvj_BulkG_c0p2_M%03d_mu_10_00_HP_workspace.root"%(mass);
file3 = "wwlvj_BulkG_c0p2_M%03d_el_10_00_HP_workspace.root"%(mass);
file4 = "wwlvj_BulkG_c0p2_M%03d_mu_10_00_LP_workspace.root"%(mass);
file5 = "wwlvj_BulkG_c0p2_M%03d_el_10_00_LP_workspace.root"%(mass);
# link a condor script to your shell script
condorScript=open("subCondor_"+fn,"w");
condorScript.write('universe = vanilla')
condorScript.write("\n"+"Executable = "+fn+".sh")
condorScript.write("\n"+'Requirements = Memory >= 199 &&OpSys == "LINUX"&& (Arch != "DUMMY" )&& Disk > 1000000')
condorScript.write("\n"+'Should_Transfer_Files = YES')
if not purity=="em" : condorScript.write("\n"+'Transfer_Input_Files = '+file1+', '+file2)
else : condorScript.write("\n"+'Transfer_Input_Files = '+file1+', '+file2+', '+file3+', '+file4+', '+file5)
condorScript.write("\n"+'WhenToTransferOutput = ON_EXIT_OR_EVICT')
condorScript.write("\n"+'Output = out_$(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 "+"subCondor_"+fn)
# --------------------------------------
def getAsymLimits(file):
f = ROOT.TFile(file);
t = f.Get("limit");
entries = t.GetEntries();
lims = [0,0,0,0,0,0];
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;
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!"
return lims;
#### ---------------------------------------
def getPValueFromCard( file ):
f = ROOT.TFile(file);
t = f.Get("limit");
entries = t.GetEntries();
lims = 1;
for i in range(1):
t.GetEntry(i);
lims = t.limit
return lims;
#### -----------------------------
def doULPlot( suffix ):
xbins = array('d', [])
xbins_env = array('d', [])
ybins_exp = array('d', [])
ybins_obs = array('d', [])
ybins_1s = array('d', [])
ybins_2s = array('d', [])
ybins_xs_02 = array('d', [])
ybins_xs_05 = array('d', [])
for i in range(len(mass)):
curFile = "higgsCombine_lim_%03d%s.Asymptotic.mH%03d.root"%(mass[i],suffix,mass[i]);
sf = xsDict[mass[i]];
sf2 = xsDict2[mass[i]];
curAsymLimits = getAsymLimits(curFile);
xbins.append( mass[i] );
xbins_env.append( mass[i] );
ybins_exp.append( curAsymLimits[3]*sf );
ybins_obs.append( curAsymLimits[0]*sf );
ybins_2s.append( curAsymLimits[1]*sf );
ybins_1s.append( curAsymLimits[2]*sf );
ybins_xs_02.append(sf);
ybins_xs_05.append(sf2);
for i in range( len(mass)-1, -1, -1 ):
curFile = "higgsCombine_lim_%03d%s.Asymptotic.mH%03d.root"%(mass[i],suffix,mass[i]);
sf = xsDict[mass[i]];
curAsymLimits = getAsymLimits(curFile);
xbins_env.append( mass[i] );
ybins_2s.append( curAsymLimits[5]*sf );
ybins_1s.append( curAsymLimits[4]*sf );
curGraph_exp = ROOT.TGraph(nPoints,xbins,ybins_exp);
curGraph_obs = ROOT.TGraph(nPoints,xbins,ybins_obs);
curGraph_xs_02 = ROOT.TGraph(nPoints,xbins,ybins_xs_02);
curGraph_xs_05 = ROOT.TGraph(nPoints,xbins,ybins_xs_05);
curGraph_1s = ROOT.TGraph(nPoints*2,xbins_env,ybins_1s);
curGraph_2s = ROOT.TGraph(nPoints*2,xbins_env,ybins_2s);
curGraph_obs.SetMarkerStyle(20);
curGraph_exp.SetLineStyle(2);
curGraph_xs_02.SetLineStyle(2);
curGraph_xs_05.SetLineStyle(1);
curGraph_exp.SetLineWidth(2);
curGraph_obs.SetLineWidth(2);
curGraph_xs_02.SetLineWidth(3);
curGraph_xs_02.SetLineWidth(3);
curGraph_exp.SetMarkerSize(2);
curGraph_xs_02.SetMarkerSize(2);
curGraph_xs_05.SetMarkerSize(2);
curGraph_obs.SetMarkerSize(2);
curGraph_xs_02.SetLineColor(ROOT.kRed+1);
curGraph_xs_05.SetLineColor(ROOT.kRed+1);
curGraph_1s.SetFillColor(ROOT.kGreen);
curGraph_2s.SetFillColor(ROOT.kYellow);
# -------
if suffix =="_el_HP" :
banner = TLatex(0.31,0.91,("CMS Preliminary, 19.5 fb^{-1} at #sqrt{s}=8TeV, W#rightarrow e#nu HP"));
banner.SetNDC(); banner.SetTextSize(0.032);
if suffix =="_el_LP" :
banner = TLatex(0.31,0.91,("CMS Preliminary, 19.5 fb^{-1} at #sqrt{s}=8TeV, W#rightarrow e#nu LP"));
banner.SetNDC(); banner.SetTextSize(0.032);
if suffix =="_mu_HP" :
banner = TLatex(0.31,0.91,("CMS Preliminary, 19.5 fb^{-1} at #sqrt{s}=8TeV, W#rightarrow #mu#nu HP"));
banner.SetNDC(); banner.SetTextSize(0.032);
if suffix =="_mu_LP" :
banner = TLatex(0.31,0.91,("CMS Preliminary, 19.5 fb^{-1} at #sqrt{s}=8TeV, W#rightarrow #mu#nu LP"));
banner.SetNDC(); banner.SetTextSize(0.032);
if suffix =="_em" :
banner = TLatex(0.31,0.91,("CMS Preliminary, 19.5 fb^{-1} at #sqrt{s}=8TeV, e+#mu combined"));
banner.SetNDC(); banner.SetTextSize(0.032);
oneLine = ROOT.TF1("oneLine","1",599,1001);
oneLine.SetLineColor(ROOT.kRed);
oneLine.SetLineWidth(3);
can_SM = ROOT.TCanvas("can_SM","can_SM",1000,800);
hrl_SM = can_SM.DrawFrame(799,1e-5,2501,5.0);
hrl_SM.GetYaxis().SetTitle("#sigma_{95%} #times BR_{WW} (pb)");
hrl_SM.GetYaxis().SetTitleOffset(1.2);
hrl_SM.GetXaxis().SetTitle("m_{WW} (GeV)");
hrl_SM.GetXaxis().SetTitleSize(0.036);
hrl_SM.GetXaxis().SetTitleSize(0.036);
hrl_SM.GetXaxis().SetLabelSize(0.036);
hrl_SM.GetYaxis().SetRangeUser(0.0001,10);
hrl_SM.GetYaxis().SetNdivisions(504);
can_SM.SetGrid();
curGraph_2s.Draw("F");
curGraph_1s.Draw("F");
curGraph_obs.Draw("PL");
curGraph_exp.Draw("PL");
curGraph_xs_02.Draw("PL");
curGraph_xs_05.Draw("PL");
leg2 = ROOT.TLegend(0.52,0.60,0.88,0.85);
leg2.SetFillColor(0);
leg2.SetBorderSize(0);
leg2.SetFillStyle(3001);
leg2.AddEntry(curGraph_obs,"Observed","LP")
leg2.AddEntry(curGraph_exp,"Expected","L")
leg2.AddEntry(curGraph_1s,"Expected, #pm 1#sigma","F")
leg2.AddEntry(curGraph_2s,"Expected, #pm 2#sigma","F")
leg2.AddEntry(curGraph_xs_02,"#sigma_{Bulk}#times BR(G#rightarrow WW), #tilde{k}=0.2","L")
leg2.AddEntry(curGraph_xs_05,"#sigma_{Bulk}#times BR(G#rightarrow WW), #tilde{k}=0.5","L")
ROOT.gPad.SetLogy();
can_SM.Update();
can_SM.RedrawAxis();
can_SM.RedrawAxis("g");
can_SM.Update();
leg2.Draw();
banner.Draw();
ROOT.gPad.SetLogy();
can_SM.SaveAs("~/limitFigs/Lim%s.png"%(suffix));
can_SM.SaveAs("~/limitFigs/Lim%s.pdf"%(suffix));
can_SM.SaveAs("~/limitFigs/Lim%s.root"%(suffix));
can_SM.SaveAs("~/limitFigs/Lim%s.C"%(suffix));
############################################################
if __name__ == '__main__':
###############
CHAN = options.channel;
moreCombineOpts = "";
###############
if options.computeLimits or options.plotLimits: os.chdir("cards_em_EXO_allCat_v2_ExpN");
# put in functionality to test just one mass point or just one cprime
nMasses = len(mass);
mLo = 0;
mHi = nMasses;
nCprimes = len(cprime);
cpLo = 0;
cpHi = nCprimes;
if options.massPoint > 0:
curIndex = mass.index(options.massPoint);
mLo = curIndex;
mHi = curIndex+1;
if options.cPrime > 0:
curIndex = cprime.index(options.cPrime);
cpLo = curIndex;
cpHi = curIndex+1;
# =====================================
if options.makeCards:
if not os.path.isdir("log"): os.system("mkdir log" );
for i in range(mLo,mHi):
for j in range(cpLo,cpHi):
print "--------------------------------------------------";
print "--------------------------------------------------";
print "R U N N I N G F I T S"
print "mass = ",mass[i],", cprime = ",cprime[j];
print "--------------------------------------------------";
print "--------------------------------------------------";
time.sleep(0.3);
command = "python exo_doFit_class.py %s BulkG_c0p2_M%03d %02d %02d %02d %02d %02d %02d %s %s -b -m --cprime %01d --BRnew 00 --inPath %s --category %s --closuretest %01d"%(CHAN, mass[i], ccmlo[i], ccmhi[i], mjlo[i], mjhi[i], mlo[i], mhi[i], shape[i], shapeAlt[i], cprime[j], os.getcwd(), options.category,options.closuretest);
if options.batchMode and not fileExists:
fn = "fitScript_%s_%03d_%02d_%02d_%s"%(options.channel,mass[i],cprime[j],BRnew,options.category);
submitBatchJob( command, fn );
if not options.batchMode:
os.system(command);
# =====================================
if options.computeLimits:
for i in range(mLo,mHi):
print "------------------"+str(mass[i])+"-------------------------";
time.sleep(0.3);
combineCmmd = "combineCards.py wwlvj_BulkG_c0p2_M%03d_el_10_00_HP_unbin.txt wwlvj_BulkG_c0p2_M%03d_mu_10_00_HP_unbin.txt wwlvj_BulkG_c0p2_M%03d_el_10_00_LP_unbin.txt wwlvj_BulkG_c0p2_M%03d_mu_10_00_LP_unbin.txt > wwlvj_BulkG_c0p2_M%03d_em_10_00_unbin.txt"%(mass[i],mass[i],mass[i],mass[i],mass[i]);
print combineCmmd
os.system(combineCmmd);
if options.limitMode==0:
runCmmd2 = "combine -M Asymptotic --minimizerAlgo Minuit2 --minosAlgo stepping -H ProfileLikelihood -m %03d -n _lim_%03d_%s_HP -d wwlvj_BulkG_c0p2_M%03d_%s_10_00_HP_unbin.txt -v 2"%(mass[i],mass[i],"el",mass[i],"el");
if options.batchMode:
fn = "combineScript_Asymptotic_%s_%03d%s_%02d_%02d_%s"%("el",mass[i],"",cprime[0],BRnew[0],"HP");
submitBatchJobCombine( runCmmd2, fn, "el",mass[i], cprime[0], BRnew[0],"HP" );
else:
os.system(runCmmd2);
time.sleep(0.1);
runCmmd2 = "combine -M Asymptotic --minimizerAlgo Minuit2 --minosAlgo stepping -H ProfileLikelihood -m %03d -n _lim_%03d_%s_HP -d wwlvj_BulkG_c0p2_M%03d_%s_10_00_HP_unbin.txt -v 2"%(mass[i],mass[i],"mu",mass[i],"mu");
if options.batchMode:
fn = "combineScript_Asymptotic_%s_%03d%s_%02d_%02d_%s"%("mu",mass[i],"",cprime[0],BRnew[0],"HP");
submitBatchJobCombine( runCmmd2, fn, "mu",mass[i], cprime[0], BRnew[0],"HP" );
else:
os.system(runCmmd2);
time.sleep(0.1);
runCmmd2 = "combine -M Asymptotic --minimizerAlgo Minuit2 --minosAlgo stepping -H ProfileLikelihood -m %03d -n _lim_%03d_%s_LP -d wwlvj_BulkG_c0p2_M%03d_%s_10_00_LP_unbin.txt -v 2"%(mass[i],mass[i],"el",mass[i],"el");
if options.batchMode:
fn = "combineScript_Asymptotic_%s_%03d%s_%02d_%02d_%s"%("el",mass[i],"",cprime[0],BRnew[0],"LP");
submitBatchJobCombine( runCmmd2, fn, "el",mass[i], cprime[0], BRnew[0],"LP" );
else:
os.system(runCmmd2);
time.sleep(0.1);
runCmmd2 = "combine -M Asymptotic --minimizerAlgo Minuit2 --minosAlgo stepping -H ProfileLikelihood -m %03d -n _lim_%03d_%s_LP -d wwlvj_BulkG_c0p2_M%03d_%s_10_00_LP_unbin.txt -v 2"%(mass[i],mass[i],"mu",mass[i],"mu");
if options.batchMode:
fn = "combineScript_Asymptotic_%s_%03d%s_%02d_%02d_%s"%("mu",mass[i],"",cprime[0],BRnew[0],"LP");
submitBatchJobCombine( runCmmd2, fn, "mu",mass[i], cprime[0], BRnew[0],"LP" );
else:
os.system(runCmmd2);
time.sleep(0.1);
runCmmd2 = "combine -M Asymptotic --minimizerAlgo Minuit2 --minosAlgo stepping -H ProfileLikelihood -m %03d -n _lim_%03d_%s -d wwlvj_BulkG_c0p2_M%03d_%s_10_00_unbin.txt -v 2"%(mass[i],mass[i],"em",mass[i],"em");
if options.batchMode:
fn = "combineScript_Asymptotic_%s_%03d%s_%02d_%02d"%("em",mass[i],"em",cprime[0],BRnew[0]);
submitBatchJobCombine( runCmmd2, fn, "",mass[i], cprime[0], BRnew[0],"em" );
else:
os.system(runCmmd2);
if options.limitMode == 1 :
# mu HP
runCmmd = "combine -M ProfileLikelihood --signif --pvalue -m %03d -n _pval_obs_%03d_%s_HP wwlvj_BulkG_c0p2_M%03d_%s_10_00_HP_unbin.txt\n"%(mass[i],mass[i],"mu",mass[i],"mu");
runCmmd += "combine -M ProfileLikelihood --signif --pvalue -m %03d -n _pval_exp_%03d_%s_HP wwlvj_BulkG_c0p2_M%03d_%s_10_00_HP_unbin.txt -t -1 --expectSignal=6.25 --toysFreq"%(mass[i],mass[i],"mu",mass[i],"mu");
if options.batchMode:
fn = "combineScript_ProfileLikelihood_%s_%03d%s_%02d_%02d_%s"%("mu",mass[i],"",cprime[0],BRnew[0],"HP");
submitBatchJobCombine( runCmmd, fn, "mu",mass[i], cprime[0], BRnew[0],"HP" );
else:
os.system(runCmmd);
time.sleep(0.1);
# mu LP
runCmmd ="";
runCmmd = "combine -M ProfileLikelihood --signif --pvalue -m %03d -n _pval_obs_%03d_%s_LP wwlvj_BulkG_c0p2_M%03d_%s_10_00_LP_unbin.txt\n"%(mass[i],mass[i],"mu",mass[i],"mu");
runCmmd += "combine -M ProfileLikelihood --signif --pvalue -m %03d -n _pval_exp_%03d_%s_LP wwlvj_BulkG_c0p2_M%03d_%s_10_00_LP_unbin.txt --expectSignal=6.25 --toysFreq -t -1"%(mass[i],mass[i],"mu",mass[i],"mu");
if options.batchMode:
fn = "combineScript_ProfileLikelihood_%s_%03d%s_%02d_%02d_%s"%("mu",mass[i],"",cprime[0],BRnew[0],"LP");
submitBatchJobCombine( runCmmd, fn, "mu",mass[i], cprime[0], BRnew[0],"LP" );
else:
os.system(runCmmd);
time.sleep(0.1);
# el HP
runCmmd ="";
runCmmd = "combine -M ProfileLikelihood --signif --pvalue -m %03d -n _pval_obs_%03d_%s_HP wwlvj_BulkG_c0p2_M%03d_%s_10_00_HP_unbin.txt\n"%(mass[i],mass[i],"el",mass[i],"el");
runCmmd += "combine -M ProfileLikelihood --signif --pvalue -m %03d -n _pval_exp_%03d_%s_HP wwlvj_BulkG_c0p2_M%03d_%s_10_00_HP_unbin.txt --expectSignal=6.25 --toysFreq -t -1"%(mass[i],mass[i],"el",mass[i],"el");
if options.batchMode:
fn = "combineScript_ProfileLikelihood_%s_%03d%s_%02d_%02d_%s"%("el",mass[i],"",cprime[0],BRnew[0],"HP");
submitBatchJobCombine( runCmmd, fn, "el",mass[i], cprime[0], BRnew[0],"HP" );
else:
os.system(runCmmd);
time.sleep(0.1);
# el LP
runCmmd ="";
runCmmd = "combine -M ProfileLikelihood --signif --pvalue -m %03d -n _pval_obs_%03d_%s_LP wwlvj_BulkG_c0p2_M%03d_%s_10_00_LP_unbin.txt\n"%(mass[i],mass[i],"el",mass[i],"el");
runCmmd += "combine -M ProfileLikelihood --signif --pvalue -m %03d -n _pval_exp_%03d_%s_LP wwlvj_BulkG_c0p2_M%03d_%s_10_00_LP_unbin.txt --expectSignal=6.25 --toysFreq -t -1"%(mass[i],mass[i],"el",mass[i],"el");
if options.batchMode:
fn = "combineScript_ProfileLikelihood_%s_%03d%s_%02d_%02d_%s"%("el",mass[i],"",cprime[0],BRnew[0],"LP");
submitBatchJobCombine( runCmmd, fn, "el",mass[i], cprime[0], BRnew[0],"LP" );
else:
os.system(runCmmd);
time.sleep(0.1);
# combined
runCmmd ="";
runCmmd = "combine -M ProfileLikelihood --signif --pvalue -m %03d -n _pval_obs_%03d_%s wwlvj_BulkG_c0p2_M%03d_%s_10_00_unbin.txt\n"%(mass[i],mass[i],"em",mass[i],"em");
runCmmd += "combine -M ProfileLikelihood --signif --pvalue -m %03d -n _pval_exp_%03d_%s wwlvj_BulkG_c0p2_M%03d_%s_10_00_unbin.txt --expectSignal=6.25 --toysFreq -t -1"%(mass[i],mass[i],"em",mass[i],"em");
if options.batchMode:
fn = "combineScript_ProfileLikelihood_%s_%03d%s_%02d_%02d"%("em",mass[i],"",cprime[0],BRnew[0]);
submitBatchJobCombine( runCmmd, fn, "em",mass[i], cprime[0], BRnew[0],"em" );
else:
os.system(runCmmd);
#############
if options.limitMode ==2:
runCmmd3="";
runCmmd3 = runCmmd3 + "combine -M HybridNew --frequentist --minimizerAlgo Minuit2 -m %03d -n _lim_%03d_%s_HP -d wwlvj_BulkG_c0p2_M%03d_%s_10_00_HP_unbin.txt --testStat LHC -H ProfileLikelihood --fork 4 -v 0 -s -1\n"%(mass[i],mass[i],"el",mass[i],"el");
runCmmd3 = runCmmd3 + "combine -M HybridNew --frequentist --minimizerAlgo Minuit2 -m %03d -n _lim_%03d_%s_HP -d wwlvj_BulkG_c0p2_M%03d_%s_10_00_HP_unbin.txt --testStat LHC -H ProfileLikelihood --fork 4 -v 0 -s -1 --expectedFromGrid 0.5\n"%(mass[i],mass[i],"el",mass[i],"el");
runCmmd3 = runCmmd3 + "combine -M HybridNew --frequentist --minimizerAlgo Minuit2 -m %03d -n _lim_%03d_%s_HP -d wwlvj_BulkG_c0p2_M%03d_%s_10_00_HP_unbin.txt --testStat LHC -H ProfileLikelihood --fork 4 -v 0 -s -1 --expectedFromGrid 0.16\n"%(mass[i],mass[i],"el",mass[i],"el");
runCmmd3 = runCmmd3 + "combine -M HybridNew --frequentist --minimizerAlgo Minuit2 -m %03d -n _lim_%03d_%s_HP -d wwlvj_BulkG_c0p2_M%03d_%s_10_00_HP_unbin.txt --testStat LHC -H ProfileLikelihood --fork 4 -v 0 -s -1 --expectedFromGrid 0.84\n"%(mass[i],mass[i],"el",mass[i],"el");
runCmmd3 = runCmmd3 + "combine -M HybridNew --frequentist --minimizerAlgo Minuit2 -m %03d -n _lim_%03d_%s_HP -d wwlvj_BulkG_c0p2_M%03d_%s_10_00_HP_unbin.txt --testStat LHC -H ProfileLikelihood --fork 4 -v 0 -s -1 --expectedFromGrid 0.025\n"%(mass[i],mass[i],"el",mass[i],"el");
runCmmd3 = runCmmd3 + "combine -M HybridNew --frequentist --minimizerAlgo Minuit2 -m %03d -n _lim_%03d_%s_HP -d wwlvj_BulkG_c0p2_M%03d_%s_10_00_HP_unbin.txt --testStat LHC -H ProfileLikelihood --fork 4 -v 0 -s -1 --expectedFromGrid 0.975\n"%(mass[i],mass[i],"el",mass[i],"el");
if options.batchMode:
fn = "combineScript_HybridNew_%s_%03d%s_%02d_%02d_%s"%("el",mass[i],"",cprime[0],BRnew[0],"HP");
submitBatchJobCombine( runCmmd3,fn, "el",mass[i], cprime[0], BRnew[0],"HP" );
else:
os.system(runCmmd3);
time.sleep(0.1);
runCmmd3="";
runCmmd3 = runCmmd3 + "combine -M HybridNew --frequentist --minimizerAlgo Minuit2 --rMin %s --rMax %s -m %03d -n _lim_%03d_%s_HP -d wwlvj_BulkG_c0p2_M%03d_%s_10_00_HP_unbin.txt --testStat LHC -H ProfileLikelihood --fork 4 -v 0 -s -1 \n"%(tmp_rMin,tmp_rMax, mass[i],mass[i],"mu",mass[i],"mu");
runCmmd3 = runCmmd3 + "combine -M HybridNew --frequentist --minimizerAlgo Minuit2 --rMin %s --rMax %s -m %03d -n _lim_%03d_%s_HP -d wwlvj_BulkG_c0p2_M%03d_%s_10_00_HP_unbin.txt --testStat LHC -H ProfileLikelihood --fork 4 -v 0 -s -1 --expectedFromGrid 0.5 \n"%(tmp_rMin,tmp_rMax, mass[i],mass[i],"mu",mass[i],"mu");
runCmmd3 = runCmmd3 + "combine -M HybridNew --frequentist --minimizerAlgo Minuit2 --rMin %s --rMax %s -m %03d -n _lim_%03d_%s_HP -d wwlvj_BulkG_c0p2_M%03d_%s_10_00_HP_unbin.txt --testStat LHC -H ProfileLikelihood --fork 4 -v 0 -s -1 --expectedFromGrid 0.16\n"%(tmp_rMin,tmp_rMax, mass[i],mass[i],"mu",mass[i],"mu");
runCmmd3 = runCmmd3 + "combine -M HybridNew --frequentist --minimizerAlgo Minuit2 --rMin %s --rMax %s -m %03d -n _lim_%03d_%s_HP -d wwlvj_BulkG_c0p2_M%03d_%s_10_00_HP_unbin.txt --testStat LHC -H ProfileLikelihood --fork 4 -v 0 -s -1 --expectedFromGrid 0.84\n"%(tmp_rMin,tmp_rMax, mass[i],mass[i],"mu",mass[i],"mu");
runCmmd3 = runCmmd3 + "combine -M HybridNew --frequentist --minimizerAlgo Minuit2 --rMin %s --rMax %s -m %03d -n _lim_%03d_%s_HP -d wwlvj_BulkG_c0p2_M%03d_%s_10_00_HP_unbin.txt --testStat LHC -H ProfileLikelihood --fork 4 -v 0 -s -1 --expectedFromGrid 0.025\n"%(tmp_rMin,tmp_rMax, mass[i],mass[i],"mu",mass[i],"mu");
runCmmd3 = runCmmd3 + "combine -M HybridNew --frequentist --minimizerAlgo Minuit2 --rMin %s --rMax %s -m %03d -n _lim_%03d_%s_HP -d wwlvj_BulkG_c0p2_M%03d_%s_10_00_HP_unbin.txt --testStat LHC -H ProfileLikelihood --fork 4 -v 0 -s -1 --expectedFromGrid 0.975\n"%(tmp_rMin,tmp_rMax, mass[i],mass[i],"mu",mass[i],"mu");
if options.batchMode:
fn = "combineScript_HybridNew_%s_%03d%s_%02d_%02d_%s"%("mu",mass[i],"",cprime[0],BRnew[0],"HP");
submitBatchJobCombine( runCmmd3,fn, "mu",mass[i], cprime[0], BRnew[0],"HP" );
else:
os.system(runCmmd3);
time.sleep(0.1);
runCmmd3="";
runCmmd3 = runCmmd3 + "combine -M HybridNew --frequentist --minimizerAlgo Minuit2 --rMin %s --rMax %s -m %03d -n _lim_%03d_%s_LP -d wwlvj_BulkG_c0p2_M%03d_%s_10_00_LP_unbin.txt --testStat LHC -H ProfileLikelihood --fork 4 -v 0 -s -1 \n"%(tmp_rMin,tmp_rMax, mass[i],mass[i],"el",mass[i],"el");
runCmmd3 = runCmmd3 + "combine -M HybridNew --frequentist --minimizerAlgo Minuit2 --rMin %s --rMax %s -m %03d -n _lim_%03d_%s_LP -d wwlvj_BulkG_c0p2_M%03d_%s_10_00_LP_unbin.txt --testStat LHC -H ProfileLikelihood --fork 4 -v 0 -s -1 --expectedFromGrid 0.5\n"%(tmp_rMin,tmp_rMax, mass[i],mass[i],"el",mass[i],"el");
runCmmd3 = runCmmd3 + "combine -M HybridNew --frequentist --minimizerAlgo Minuit2 --rMin %s --rMax %s -m %03d -n _lim_%03d_%s_LP -d wwlvj_BulkG_c0p2_M%03d_%s_10_00_LP_unbin.txt --testStat LHC -H ProfileLikelihood --fork 4 -v 0 -s -1 --expectedFromGrid 0.16\n"%(tmp_rMin,tmp_rMax, mass[i],mass[i],"el",mass[i],"el");
runCmmd3 = runCmmd3 + "combine -M HybridNew --frequentist --minimizerAlgo Minuit2 --rMin %s --rMax %s -m %03d -n _lim_%03d_%s_LP -d wwlvj_BulkG_c0p2_M%03d_%s_10_00_LP_unbin.txt --testStat LHC -H ProfileLikelihood --fork 4 -v 0 -s -1 --expectedFromGrid 0.84\n"%(tmp_rMin,tmp_rMax, mass[i],mass[i],"el",mass[i],"el");
runCmmd3 = runCmmd3 + "combine -M HybridNew --frequentist --minimizerAlgo Minuit2 --rMin %s --rMax %s -m %03d -n _lim_%03d_%s_LP -d wwlvj_BulkG_c0p2_M%03d_%s_10_00_LP_unbin.txt --testStat LHC -H ProfileLikelihood --fork 4 -v 0 -s -1 --expectedFromGrid 0.025\n"%(tmp_rMin,tmp_rMax, mass[i],mass[i],"el",mass[i],"el");
runCmmd3 = runCmmd3 + "combine -M HybridNew --frequentist --minimizerAlgo Minuit2 --rMin %s --rMax %s -m %03d -n _lim_%03d_%s_LP -d wwlvj_BulkG_c0p2_M%03d_%s_10_00_LP_unbin.txt --testStat LHC -H ProfileLikelihood --fork 4 -v 0 -s -1 --expectedFromGrid 0.975\n"%(tmp_rMin,tmp_rMax, mass[i],mass[i],"el",mass[i],"el");
time.sleep(0.1);
if options.batchMode:
fn = "combineScript_HybridNew_%s_%03d%s_%02d_%02d_%s"%("el",mass[i],"",cprime[0],BRnew[0],"LP");
submitBatchJobCombine( runCmmd3,fn, "el",mass[i], cprime[0], BRnew[0],"LP" );
else:
os.system(runCmmd3);
runCmmd3="";
runCmmd3 = runCmmd3 + "combine -M HybridNew --frequentist --minimizerAlgo Minuit2 --rMin %s --rMax %s -m %03d -n _lim_%03d_%s_LP -d wwlvj_BulkG_c0p2_M%03d_%s_10_00_LP_unbin.txt --testStat LHC -H ProfileLikelihood --fork 4 -v 0 -s -1 \n"%(tmp_rMin,tmp_rMax, mass[i],mass[i],"mu",mass[i],"mu");
runCmmd3 = runCmmd3 + "combine -M HybridNew --frequentist --minimizerAlgo Minuit2 --rMin %s --rMax %s -m %03d -n _lim_%03d_%s_LP -d wwlvj_BulkG_c0p2_M%03d_%s_10_00_LP_unbin.txt --testStat LHC -H ProfileLikelihood --fork 4 -v 0 -s -1 --expectedFromGrid 0.5\n"%(tmp_rMin,tmp_rMax, mass[i],mass[i],"mu",mass[i],"mu");
runCmmd3 = runCmmd3 + "combine -M HybridNew --frequentist --minimizerAlgo Minuit2 --rMin %s --rMax %s -m %03d -n _lim_%03d_%s_LP -d wwlvj_BulkG_c0p2_M%03d_%s_10_00_LP_unbin.txt --testStat LHC -H ProfileLikelihood --fork 4 -v 0 -s -1 --expectedFromGrid 0.16\n"%(tmp_rMin,tmp_rMax, mass[i],mass[i],"mu",mass[i],"mu");
runCmmd3 = runCmmd3 + "combine -M HybridNew --frequentist --minimizerAlgo Minuit2 --rMin %s --rMax %s -m %03d -n _lim_%03d_%s_LP -d wwlvj_BulkG_c0p2_M%03d_%s_10_00_LP_unbin.txt --testStat LHC -H ProfileLikelihood --fork 4 -v 0 -s -1 --expectedFromGrid 0.84\n"%(tmp_rMin,tmp_rMax, mass[i],mass[i],"mu",mass[i],"mu");
runCmmd3 = runCmmd3 + "combine -M HybridNew --frequentist --minimizerAlgo Minuit2 --rMin %s --rMax %s -m %03d -n _lim_%03d_%s_LP -d wwlvj_BulkG_c0p2_M%03d_%s_10_00_LP_unbin.txt --testStat LHC -H ProfileLikelihood --fork 4 -v 0 -s -1 --expectedFromGrid 0.025\n"%(tmp_rMin,tmp_rMax, mass[i],mass[i],"mu",mass[i],"mu");
runCmmd3 = runCmmd3 + "combine -M HybridNew --frequentist --minimizerAlgo Minuit2 --rMin %s --rMax %s -m %03d -n _lim_%03d_%s_LP -d wwlvj_BulkG_c0p2_M%03d_%s_10_00_LP_unbin.txt --testStat LHC -H ProfileLikelihood --fork 4 -v 0 -s -1 --expectedFromGrid 0.975\n"%(tmp_rMin,tmp_rMax, mass[i],mass[i],"mu",mass[i],"mu");
if options.batchMode:
fn = "combineScript_HybridNew_%s_%03d%s_%02d_%02d_%s"%("mu",mass[i],"",cprime[0],BRnew[0],"LP");
submitBatchJobCombine( runCmmd3,fn, "mu",mass[i], cprime[0], BRnew[0],"LP" );
else:
os.system(runCmmd3);
time.sleep(0.1);
runCmmd3="";
runCmmd3 = runCmmd3 + "combine -M HybridNew --frequentist --minimizerAlgo Minuit2 --rMin %s --rMax %s -m %03d -n _lim_%03d_%s -d wwlvj_BulkG_c0p2_M%03d_%s_10_00_unbin.txt --testStat LHC -H ProfileLikelihood --fork 4 -v 0 -s -1 \n"%(tmp_rMin,tmp_rMax, mass[i],mass[i],"em",mass[i],"em");
runCmmd3 = runCmmd3 + "combine -M HybridNew --frequentist --minimizerAlgo Minuit2 --rMin %s --rMax %s -m %03d -n _lim_%03d_%s -d wwlvj_BulkG_c0p2_M%03d_%s_10_00_unbin.txt --testStat LHC -H ProfileLikelihood --fork 4 -v 0 -s -1 --expectedFromGrid 0.5\n"%(tmp_rMin,tmp_rMax, mass[i],mass[i],"em",mass[i],"em");
runCmmd3 = runCmmd3 + "combine -M HybridNew --frequentist --minimizerAlgo Minuit2 --rMin %s --rMax %s -m %03d -n _lim_%03d_%s -d wwlvj_BulkG_c0p2_M%03d_%s_10_00_unbin.txt --testStat LHC -H ProfileLikelihood --fork 4 -v 0 -s -1 --expectedFromGrid 0.16\n"%(tmp_rMin,tmp_rMax, mass[i],mass[i],"em",mass[i],"em");
runCmmd3 = runCmmd3 + "combine -M HybridNew --frequentist --minimizerAlgo Minuit2 --rMin %s --rMax %s -m %03d -n _lim_%03d_%s -d wwlvj_BulkG_c0p2_M%03d_%s_10_00_unbin.txt --testStat LHC -H ProfileLikelihood --fork 4 -v 0 -s -1 --expectedFromGrid 0.84\n"%(tmp_rMin,tmp_rMax, mass[i],mass[i],"em",mass[i],"em");
runCmmd3 = runCmmd3 + "combine -M HybridNew --frequentist --minimizerAlgo Minuit2 --rMin %s --rMax %s -m %03d -n _lim_%03d_%s -d wwlvj_BulkG_c0p2_M%03d_%s_10_00_unbin.txt --testStat LHC -H ProfileLikelihood --fork 4 -v 0 -s -1 --expectedFromGrid 0.025\n"%(tmp_rMin,tmp_rMax, mass[i],mass[i],"em",mass[i],"em");
runCmmd3 = runCmmd3 + "combine -M HybridNew --frequentist --minimizerAlgo Minuit2 --rMin %s --rMax %s -m %03d -n _lim_%03d_%s -d wwlvj_BulkG_c0p2_M%03d_%s_10_00_unbin.txt --testStat LHC -H ProfileLikelihood --fork 4 -v 0 -s -1 --expectedFromGrid 0.975\n"%(tmp_rMin,tmp_rMax, mass[i],mass[i],"em",mass[i],"em");
if options.batchMode:
fn = "combineScript_HybridNew_%s_%03d%s_%02d_%02d"%("em",mass[i],"",cprime[0],BRnew[0]);
submitBatchJobCombine( runCmmd3,fn, "",mass[i], cprime[0], BRnew[0],"em" );
else:
os.system(runCmmd3);
if options.limitMode == 3 :
tmp_rMin=0.01; tmp_rMax=10000;
if mass[i]>2000: tmp_rMin=1; tmp_rMax=100000;
elif mass[i]>1500: tmp_rMin=1; tmp_rMax=10000;
if mass[i]>1000: tmp_rMin=0.1; tmp_rMax=200;
else: tmp_rMin=0.001; tmp_rMax=50;
# mu HP
runCmmd = "combine -M MaxLikelihoodFit --minimizerAlgo Minuit2 --minimizerStrategy 2 --rMin %s --rMax %s -m %03d -n _fit_%03d_%s_HP wwlvj_BulkG_c0p2_M%03d_%s_10_00_HP_unbin.txt\n"%(tmp_rMin,tmp_rMax,mass[i],mass[i],"mu",mass[i],"mu");
runCmmd += "combine -M MaxLikelihoodFit --minimizerAlgo Minuit2 --minimizerStrategy 2 --rMin %s --rMax %s -m %03d -n _fit_toy_%03d_%s_HP wwlvj_BulkG_c0p2_M%03d_%s_10_00_HP_unbin.txt --toysFrequentist -t 1000 --noErrors --minos none --expectSignal=6.25"%(tmp_rMin,tmp_rMax,mass[i],mass[i],"mu",mass[i],"mu");
if options.batchMode:
fn = "combineScript_MaxLikelihoodFit_%s_%03d%s_%02d_%02d_%s"%("mu",mass[i],"",cprime[0],BRnew[0],"HP");
submitBatchJobCombine( runCmmd, fn, "mu",mass[i], cprime[0], BRnew[0],"HP" );
else:
os.system(runCmmd);
time.sleep(0.1);
# mu LP
runCmmd = "combine -M MaxLikelihoodFit --minimizerAlgo Minuit2 --minimizerStrategy 2 --rMin %s --rMax %s -m %03d -n _fit_%03d_%s_LP wwlvj_BulkG_c0p2_M%03d_%s_10_00_LP_unbin.txt\n"%(tmp_rMin,tmp_rMax,mass[i],mass[i],"mu",mass[i],"mu");
runCmmd += "combine -M MaxLikelihoodFit --minimizerAlgo Minuit2 --minimizerStrategy 2 --rMin %s --rMax %s -m %03d -n _fit_toy_%03d_%s_LP wwlvj_BulkG_c0p2_M%03d_%s_10_00_LP_unbin.txt --toysFrequentist -t 1000 --noErrors --minos none --expectSignal=6.25"%(tmp_rMin,tmp_rMax,mass[i],mass[i],"mu",mass[i],"mu");
if options.batchMode:
fn = "combineScript_MaxLikelihoodFit_%s_%03d%s_%02d_%02d_%s"%("mu",mass[i],"",cprime[0],BRnew[0],"LP");
submitBatchJobCombine( runCmmd, fn, "mu",mass[i], cprime[0], BRnew[0],"LP" );
else:
os.system(runCmmd);
time.sleep(0.1);
# el HP
runCmmd = "combine -M MaxLikelihoodFit --minimizerAlgo Minuit2 --minimizerStrategy 2 --rMin %s --rMax %s -m %03d -n _fit_%03d_%s_HP wwlvj_BulkG_c0p2_M%03d_%s_10_00_HP_unbin.txt\n"%(tmp_rMin,tmp_rMax,mass[i],mass[i],"el",mass[i],"el");
runCmmd += "combine -M MaxLikelihoodFit --minimizerAlgo Minuit2 --minimizerStrategy 2 --rMin %s --rMax %s -m %03d -n _fit_toy_%03d_%s_HP wwlvj_BulkG_c0p2_M%03d_%s_10_00_HP_unbin.txt --toysFrequentist -t 1000 --noErrors --minos none --expectSignal=6.25"%(tmp_rMin,tmp_rMax,mass[i],mass[i],"el",mass[i],"el");
if options.batchMode:
fn = "combineScript_MaxLikelihoodFit_%s_%03d%s_%02d_%02d_%s"%("el",mass[i],"",cprime[0],BRnew[0],"HP");
submitBatchJobCombine( runCmmd, fn, "el",mass[i], cprime[0], BRnew[0],"HP" );
else:
os.system(runCmmd);
time.sleep(0.1);
# el LP
runCmmd = "combine -M MaxLikelihoodFit --minimizerAlgo Minuit2 --minimizerStrategy 2 --rMin %s --rMax %s -m %03d -n _fit_%03d_%s_LP wwlvj_BulkG_c0p2_M%03d_%s_10_00_LP_unbin.txt\n"%(tmp_rMin,tmp_rMax,mass[i],mass[i],"el",mass[i],"el");
runCmmd += "combine -M MaxLikelihoodFit --minimizerAlgo Minuit2 --minimizerStrategy 2 --rMin %s --rMax %s -m %03d -n _fit_toy_%03d_%s_LP wwlvj_BulkG_c0p2_M%03d_%s_10_00_LP_unbin.txt --toysFrequentist -t 1000 --noErrors --minos none --expectSignal=6.25"%(tmp_rMin,tmp_rMax,mass[i],mass[i],"el",mass[i],"el");
if options.batchMode:
fn = "combineScript_MaxLikelihoodFit_%s_%03d%s_%02d_%02d_%s"%("el",mass[i],"",cprime[0],BRnew[0],"LP");
submitBatchJobCombine( runCmmd, fn, "el",mass[i], cprime[0], BRnew[0],"LP" );
else:
os.system(runCmmd);
time.sleep(0.1);
# combined
runCmmd = "combine -M MaxLikelihoodFit --minimizerAlgo Minuit2 --minimizerStrategy 2 --rMin %s --rMax %s -m %03d -n _fit_%03d_%s wwlvj_BulkG_c0p2_M%03d_%s_10_00_unbin.txt\n"%(tmp_rMin,tmp_rMax,mass[i],mass[i],"em",mass[i],"em");
runCmmd += "combine -M MaxLikelihoodFit --minimizerAlgo Minuit2 --minimizerStrategy 2 --rMin %s --rMax %s -m %03d -n _fit_toy_%03d_%s wwlvj_BulkG_c0p2_M%03d_%s_10_00_unbin.txt --toysFrequentist -t 1000 --noErrors --minos none --expectSignal=6.25"%(tmp_rMin,tmp_rMax,mass[i],mass[i],"em",mass[i],"em");
if options.batchMode:
fn = "combineScript_MaxLikelihoodFit_%s_%03d%s_%02d_%02d"%("em",mass[i],"",cprime[0],BRnew[0]);
submitBatchJobCombine( runCmmd, fn, "em",mass[i], cprime[0], BRnew[0],"em" );
else:
os.system(runCmmd);
#############
# =====================================
nGraphs = nCprimes*2 + 2;
tGraphs = [];
nPoints = len(mass);
if options.plotLimits:
####################################################
xbins = array('d', [])
ybins_el_hp = array('d', [])
ybins_mu_hp = array('d', [])
ybins_el_lp = array('d', [])
ybins_mu_lp = array('d', [])
ybins_em = array('d', [])
xbins_exp = array('d', [])
ybins_el_hp_exp = array('d', [])
ybins_mu_hp_exp = array('d', [])
ybins_el_lp_exp = array('d', [])
ybins_mu_lp_exp = array('d', [])
ybins_em_exp = array('d', [])
for i in range(mLo,mHi):
print "------------------"+str(mass[i])+"-------------------------";
print "getting card: higgsCombine_pval_obs_%03d_%s_HP.ProfileLikelihood.mH%03d.root"%(mass[i],"el",mass[i]);
print "getting card: higgsCombine_pval_obs_%03d_%s_HP.ProfileLikelihood.mH%03d.root"%(mass[i],"mu",mass[i]);
print "getting card: higgsCombine_pval_obs_%03d_%s_LP.ProfileLikelihood.mH%03d.root"%(mass[i],"el",mass[i]);
print "getting card: higgsCombine_pval_obs_%03d_%s_LP.ProfileLikelihood.mH%03d.root"%(mass[i],"mu",mass[i]);
print "getting card: higgsCombine_pval_obs_%03d_%s.ProfileLikelihood.mH%03d.root"%(mass[i],"em",mass[i])
orootname_el_hp = "higgsCombine_pval_obs_%03d_%s_HP.ProfileLikelihood.mH%03d.root"%(mass[i],"el",mass[i]);
orootname_mu_hp = "higgsCombine_pval_obs__%03d_%s_HP.ProfileLikelihood.mH%03d.root"%(mass[i],"mu",mass[i]);
orootname_el_lp = "higgsCombine_pval_obs_%03d_%s_LP.ProfileLikelihood.mH%03d.root"%(mass[i],"el",mass[i]);
orootname_mu_lp = "higgsCombine_pval_obs_%03d_%s_LP.ProfileLikelihood.mH%03d.root"%(mass[i],"mu",mass[i]);
orootname_em = "higgsCombine_pval_obs_%03d_%s.ProfileLikelihood.mH%03d.root"%(mass[i],"em",mass[i]);
xbins.append( mass[i] );
ybins_el_hp.append( getPValueFromCard(orootname_el_hp) );
ybins_mu_hp.append( getPValueFromCard(orootname_mu_hp) );
ybins_el_lp.append( getPValueFromCard(orootname_el_lp) );
ybins_mu_lp.append( getPValueFromCard(orootname_mu_lp) );
ybins_em.append( getPValueFromCard(orootname_em) );
orootname_el_hp_exp = "higgsCombine_pval_exp_%03d_%s_HP.ProfileLikelihood.mH%03d.root"%(mass[i],"el",mass[i]);
orootname_mu_hp_exp = "higgsCombine_pval_exp_%03d_%s_HP.ProfileLikelihood.mH%03d.root"%(mass[i],"mu",mass[i]);
orootname_el_lp_exp = "higgsCombine_pval_exp_%03d_%s_LP.ProfileLikelihood.mH%03d.root"%(mass[i],"el",mass[i]);
orootname_mu_lp_exp = "higgsCombine_pval_exp_%03d_%s_LP.ProfileLikelihood.mH%03d.root"%(mass[i],"mu",mass[i]);
orootname_em_exp = "higgsCombine_pval_exp_%03d_%s.ProfileLikelihood.mH%03d.root"%(mass[i],"em",mass[i]);
xbins_exp.append( mass[i] );
ybins_el_hp_exp.append( getPValueFromCard(orootname_el_hp_exp) );
ybins_mu_hp_exp.append( getPValueFromCard(orootname_mu_hp_exp) );
ybins_el_lp_exp.append( getPValueFromCard(orootname_el_lp_exp) );
ybins_mu_lp_exp.append( getPValueFromCard(orootname_mu_lp_exp) );
ybins_em_exp.append( getPValueFromCard(orootname_em_exp) );
gr_el_hp = ROOT.TGraph(nPoints,xbins,ybins_el_hp);
gr_mu_hp = ROOT.TGraph(nPoints,xbins,ybins_mu_hp);
gr_el_hp.SetLineColor( 1 ); gr_el_hp.SetMarkerColor( 1 ); gr_el_hp.SetMarkerStyle( 20 ); gr_el_hp.SetLineWidth( 3 );gr_el_hp.SetMarkerSize( 1.6 );
gr_mu_hp.SetLineColor( 1 ); gr_mu_hp.SetMarkerColor( 1 ); gr_mu_hp.SetMarkerStyle( 20 ); gr_mu_hp.SetLineWidth( 3 );gr_mu_hp.SetMarkerSize( 1.6 );
gr_el_lp = ROOT.TGraph(nPoints,xbins,ybins_el_lp);
gr_mu_lp = ROOT.TGraph(nPoints,xbins,ybins_mu_lp);
gr_el_lp.SetLineColor( 1 ); gr_el_lp.SetMarkerColor( 1 ); gr_el_lp.SetMarkerStyle( 20 ); gr_el_lp.SetLineWidth( 3 );gr_el_lp.SetMarkerSize( 1.6 );
gr_mu_lp.SetLineColor( 1 ); gr_mu_lp.SetMarkerColor( 1 ); gr_mu_lp.SetMarkerStyle( 20 ); gr_mu_lp.SetLineWidth( 3 );gr_mu_lp.SetMarkerSize( 1.6 );
gr_em = ROOT.TGraph(nPoints,xbins,ybins_em);
gr_em.SetLineColor( 1 ); gr_em.SetMarkerColor( 1 ); gr_em.SetMarkerStyle( 20 );gr_em.SetLineWidth( 3 ); gr_em.SetMarkerSize( 1.4 );
gr_el_hp_exp = ROOT.TGraph(nPoints,xbins_exp,ybins_el_hp_exp);
gr_mu_hp_exp = ROOT.TGraph(nPoints,xbins_exp,ybins_mu_hp_exp);
gr_el_hp_exp.SetLineColor( 1 ); gr_el_hp_exp.SetMarkerColor( 1 ); gr_el_hp_exp.SetMarkerStyle( 20 ); gr_el_hp_exp.SetLineWidth( 3 );gr_el_hp_exp.SetMarkerSize( 1.6 );
gr_mu_hp_exp.SetLineColor( 1 ); gr_mu_hp_exp.SetMarkerColor( 1 ); gr_mu_hp_exp.SetMarkerStyle( 20 ); gr_mu_hp_exp.SetLineWidth( 3 );gr_mu_hp_exp.SetMarkerSize( 1.6 );
gr_el_lp_exp = ROOT.TGraph(nPoints,xbins_exp,ybins_el_lp_exp);
gr_mu_lp_exp = ROOT.TGraph(nPoints,xbins_exp,ybins_mu_lp_exp);
gr_el_lp_exp.SetLineColor( 1 ); gr_el_lp_exp.SetMarkerColor( 1 ); gr_el_lp_exp.SetMarkerStyle( 20 ); gr_el_lp_exp.SetLineWidth( 3 );gr_el_lp_exp.SetMarkerSize( 1.6 );
gr_mu_lp_exp.SetLineColor( 1 ); gr_mu_lp_exp.SetMarkerColor( 1 ); gr_mu_lp_exp.SetMarkerStyle( 20 ); gr_mu_lp_exp.SetLineWidth( 3 );gr_mu_lp_exp.SetMarkerSize( 1.6 );
gr_em_exp = ROOT.TGraph(nPoints,xbins_exp,ybins_em_exp);
gr_em_exp.SetLineColor( 1 ); gr_em_exp.SetMarkerColor( 1 ); gr_em_exp.SetMarkerStyle( 20 );gr_em_exp.SetLineWidth( 3 ); gr_em_exp.SetMarkerSize( 1.4 );
oneSLine = ROOT.TF1("oneSLine","1.58655253931457074e-01",600,2500);
oneSLine.SetLineColor(ROOT.kRed); oneSLine.SetLineWidth(2); oneSLine.SetLineStyle(2);
twoSLine = ROOT.TF1("twoSLine","2.27501319481792155e-02",600,2500);
twoSLine.SetLineColor(ROOT.kRed); twoSLine.SetLineWidth(2); twoSLine.SetLineStyle(2);
threeSLine = ROOT.TF1("threeSLine","1.34989803163009588e-03",600,2500);
threeSLine.SetLineColor(ROOT.kRed); threeSLine.SetLineWidth(2); threeSLine.SetLineStyle(2);
fourSLine = ROOT.TF1("fourSLine","3.16712418331199785e-05",600,2500);
fourSLine.SetLineColor(ROOT.kRed); fourSLine.SetLineWidth(2); fourSLine.SetLineStyle(2);
banner = TLatex(0.43,0.91,("CMS Preliminary, 19.5 fb^{-1} at #sqrt{s}=8TeV"));
banner.SetNDC(); banner.SetTextSize(0.028);
ban1s = TLatex(2400,1.58655253931457074e-01,("1 #sigma"));
ban1s.SetTextSize(0.028); ban1s.SetTextColor(2)
ban2s = TLatex(2400,2.27501319481792155e-02,("2 #sigma"));
ban2s.SetTextSize(0.028); ban2s.SetTextColor(2)
ban3s = TLatex(2400,1.34989803163009588e-03,("3 #sigma"));
ban3s.SetTextSize(0.028); ban3s.SetTextColor(2);
ban4s = TLatex(2400,3.16712418331199785e-05,("4 #sigma"));
ban4s.SetTextSize(0.028); ban4s.SetTextColor(2)
leg2 = ROOT.TLegend(0.2,0.2,0.5,0.35);
leg2.SetFillStyle(0);
leg2.SetBorderSize(1);
leg2.AddEntry( gr_el_hp, "obs signif, e (HP)", "pl" );
leg2.AddEntry( gr_el_hp_exp, "exp signif, #tilde{k}=0.5", "pl" );
leg3 = ROOT.TLegend(0.2,0.2,0.5,0.35);
leg3.SetFillStyle(0);
leg3.SetBorderSize(1);
leg3.AddEntry( gr_mu_hp, "obs signif, #mu (HP)", "pl" );
leg3.AddEntry( gr_mu_hp_exp, "exp signif, #tilde{k}=0.5", "pl" );
leg4 = ROOT.TLegend(0.2,0.2,0.5,0.35);
leg4.SetFillStyle(0);
leg4.SetBorderSize(1);
leg4.AddEntry( gr_el_lp, "obs signif, e (LP)", "pl" );
leg4.AddEntry( gr_el_lp_exp, "exp signif, #tilde{k}=0.5", "pl" );
leg5 = ROOT.TLegend(0.2,0.2,0.5,0.35);
leg5.SetFillStyle(0);
leg5.SetBorderSize(1);
leg5.AddEntry( gr_mu_lp, "obs signif, #mu (LP)", "pl" );
leg5.AddEntry( gr_mu_lp_exp, "exp signif, #tilde{k}=0.5", "pl" );
leg6 = ROOT.TLegend(0.2,0.2,0.5,0.35);
leg6.SetFillStyle(0);
leg6.SetBorderSize(1);
leg6.AddEntry( gr_em, "obs signif, all", "pl" );
leg6.AddEntry( gr_em_exp, "exp signif, #tilde{k}=0.5", "pl" );
can = ROOT.TCanvas("can","can",800,800);
hrl = can.DrawFrame(599,1e-3,2500,0.6);
hrl.GetYaxis().SetTitle("p-value");
hrl.GetXaxis().SetTitle("mass (GeV)");
can.SetGrid();
ROOT.gPad.SetLogy();
gr_el_hp.Draw("PL");
gr_el_hp_exp.Draw("PLsame");
oneSLine.Draw("same");
twoSLine.Draw("same");
threeSLine.Draw("same");
fourSLine.Draw("same");
banner.Draw();
leg2.Draw();
ban1s.Draw();
ban2s.Draw();
ban3s.Draw();
ban4s.Draw();
can.RedrawAxis();
can.RedrawAxis("g");
can.Update();
can.SaveAs("~/limitFigs/pvals_el_HP.pdf","pdf");
can.SaveAs("~/limitFigs/pvals_el_HP.png","png");
can.SaveAs("~/limitFigs/pvals_el_HP.root","root");
can2 = ROOT.TCanvas("can2","can2",800,800);
hrl2 = can2.DrawFrame(599,1e-3,2500,0.6);
hrl2.GetYaxis().SetTitle("p-value");
hrl2.GetXaxis().SetTitle("mass (GeV)");
can2.SetGrid();
ROOT.gPad.SetLogy();
gr_mu_hp.Draw("PL");
gr_mu_hp_exp.Draw("PLsame");
oneSLine.Draw("same");
twoSLine.Draw("same");
threeSLine.Draw("same");
fourSLine.Draw("same");
banner.Draw();
leg3.Draw();
ban1s.Draw();
ban2s.Draw();
ban3s.Draw();
ban4s.Draw();
can2.RedrawAxis();
can2.RedrawAxis("g");
can2.Update();
can2.SaveAs("~/limitFigs/pvals_mu_HP.pdf","pdf");
can2.SaveAs("~/limitFigs/pvals_mu_HP.png","png");
can2.SaveAs("~/limitFigs/pvals_mu_HP.root","root");
can3 = ROOT.TCanvas("can3","can3",800,800);
hrl3 = can3.DrawFrame(599,1e-3,2500,0.6);
hrl3.GetYaxis().SetTitle("p-value");
hrl3.GetXaxis().SetTitle("mass (GeV)");
can3.SetGrid();
ROOT.gPad.SetLogy();
gr_el_lp.Draw("PL");
gr_el_lp_exp.Draw("PLsame");
oneSLine.Draw("same");
twoSLine.Draw("same");
threeSLine.Draw("same");
fourSLine.Draw("same");
banner.Draw();
leg4.Draw();
ban1s.Draw();
ban2s.Draw();
ban3s.Draw();
ban4s.Draw();
can3.RedrawAxis();
can3.RedrawAxis("g");
can3.Update();
can3.SaveAs("~/limitFigs/pvals_el_LP.pdf","pdf");
can3.SaveAs("~/limitFigs/pvals_el_LP.png","png");
can3.SaveAs("~/limitFigs/pvals_el_LP.root","root");
can4 = ROOT.TCanvas("can4","can4",800,800);
hrl4 = can4.DrawFrame(599,1e-3,2500,0.6);
hrl4.GetYaxis().SetTitle("p-value");
hrl4.GetXaxis().SetTitle("mass (GeV)");
can4.SetGrid();
ROOT.gPad.SetLogy();
gr_mu_lp.Draw("PL");
gr_mu_lp_exp.Draw("PLsame");
oneSLine.Draw("same");
twoSLine.Draw("same");
threeSLine.Draw("same");
fourSLine.Draw("same");
banner.Draw();
leg5.Draw();
ban1s.Draw();
ban2s.Draw();
ban3s.Draw();
ban4s.Draw();
can4.RedrawAxis();
can4.RedrawAxis("g");
can4.Update();
can4.SaveAs("~/limitFigs/pvals_mu_LP.pdf","pdf");
can4.SaveAs("~/limitFigs/pvals_mu_LP.png","png");
can4.SaveAs("~/limitFigs/pvals_mu_LP.root","root");
can5 = ROOT.TCanvas("can5","can5",800,800);
hrl5 = can5.DrawFrame(599,1e-3,2500,0.6);
hrl5.GetYaxis().SetTitle("p-value");
hrl5.GetXaxis().SetTitle("mass (GeV)");
can5.SetGrid();
ROOT.gPad.SetLogy();
gr_em.Draw("PL");
gr_em_exp.Draw("PLsame");
oneSLine.Draw("same");
twoSLine.Draw("same");
threeSLine.Draw("same");
fourSLine.Draw("same");
banner.Draw();
leg6.Draw();
ban1s.Draw();
ban2s.Draw();
ban3s.Draw();
ban4s.Draw();
can5.RedrawAxis();
can5.RedrawAxis("g");
can5.Update();
can5.SaveAs("~/limitFigs/pvals_em.pdf","pdf");
can5.SaveAs("~/limitFigs/pvals_em.png","png");
can5.SaveAs("~/limitFigs/pvals_em.root","root");
####################################################
# Upper limit plots
doULPlot("_el_HP");
doULPlot("_mu_HP");
doULPlot("_el_LP");