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Copy pathrunLimitsEXO_g1.py
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runLimitsEXO_g1.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, TH1D
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')
### to make the full analysis fit + datacards
parser.add_option('--makeCards', action='store_true', dest='makeCards', default=False, help='make datacards plus whole analysis')
### to compute limits
parser.add_option('--computeLimits', action='store_true', dest='computeLimits', default=False, help='compute limits')
### to plot limits
parser.add_option('--plotLimits', action='store_true', dest='plotLimits', default=False, help='plot limits')
### to do just signal lineshape fits
parser.add_option('--fitSignal', action='store_true', dest='fitSignal', default=False, help='do signal lineshape fits')
### other options
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')
parser.add_option('--isReReco', action='store',type="int", dest='isReReco', default=0, help='limit Mode; 0: Old signal samples ; 1: New signal Samples')
parser.add_option('--noSys', action='store',type="int", dest='noSys', help='run limit without systematic')
parser.add_option('--plotPvalue', action='store',type="int", default=0, dest='plotPvalue', help='plot p value')
parser.add_option('--signalWidth', action='store',type="int", default=0, dest='signalWidth', help='analysis on non-narrow signals')
(options, args) = parser.parse_args()
#########################################
### Global Variables for running jobs ###
#########################################
### mass point for signal to be fitted
#mass = [600,700,800,900,1000,1100,1200,1300,1400,1500,1600,1700,1800,1900,2000,2100,2200,2300,2400,2500]
mass = [800,900,1000,1100,1200,1300,1400,1500,1600,1700,1800,1900,2000,2100,2200,2300,2400,2500]
mass_width = [1000,1500,2100]
### mass window for couting analysis
ccmlo = [700,800,900,1000,1100,1200,1300,1400,1500,1600,1700,1800,1900,2000,2100,2200,2300,2400]
ccmhi = [900,1000,1100,1200,1300,1400,1500,1600,1700,1800,1900,2000,2100,2200,2300,2400,2500,3000]
ccmlo_width = [850,1300,1600]
ccmhi_width = [1150,1700,2800]
### jet mass range
mjlo = [ 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]
mjlo_width = [40,40,40]
mjhi_width = [130,130,130]
### mlvj range min and max used when run with option --makeCards
mlo = [ 700, 700, 700, 700, 700, 700, 700, 700, 700, 700, 700, 700, 700, 700, 700, 700, 700,700]
mhi = [ 3000, 3000,3000,3000,3000,3000,3000,3000,3000,3000,3000,3000,3000,3000,3000,3000,3000,3000]
mlo_width = [ 700, 700, 700]
mhi_width = [ 3000, 3000,3000]
### mlvj range min and max used when run with option --fitSignal
mlo_sig = [ 500, 600, 700, 800, 900, 1000, 1100, 1200, 1300, 1400, 1500, 1600, 1700, 1800, 1800, 1800, 1900, 2000]
mhi_sig = [ 1100, 1200, 1300, 1400, 1500, 1600, 1700, 1800, 1900, 2000, 2100, 2200, 2300, 2400, 2600, 2700, 2900, 3000]
mlo_sig_width = [ 500, 800, 1000]
mhi_sig_width = [ 1500, 2200, 3200]
### shape to be used for bkg when --makeCards
shapeAlt = ["ExpN","ExpN","ExpN","ExpN","ExpN","ExpN","ExpN","ExpN","ExpN","ExpN","ExpN","ExpN","ExpN","ExpN","ExpN","ExpN","ExpN","ExpN"]
shape = ["ExpTail","ExpTail","ExpTail","ExpTail","ExpTail","ExpTail","ExpTail","ExpTail","ExpTail","ExpTail","ExpTail","ExpTail","ExpTail","ExpTail","ExpTail","ExpTail","ExpTail","ExpTail"]
### shape to be used for bkg when --fitSignal
shape_sig_width = ["BWDoubleCB","BWDoubleCB","BWDoubleCB","BWDoubleCB","BWDoubleCB","BWDoubleCB","BWDoubleCB","BWDoubleCB","BWDoubleCB","BWDoubleCB","BWDoubleCB","BWDoubleCB","BWDoubleCB","BWDoubleCB","BWDoubleCB","BWDoubleCB","BWDoubleCB","BWDoubleCB"]
#shape_sig_narrow = ["CB_v1","CB_v1","CB_v1","CB_v1","CB_v1","CB_v1","CB_v1","CB_v1","CB_v1","CB_v1","CB_v1","CB_v1","CB_v1","CB_v1","CB_v1","CB_v1","CB_v1","CB_v1"]
shape_sig_narrow = ["DoubleCB_v1","DoubleCB_v1","DoubleCB_v1","DoubleCB_v1","DoubleCB_v1","DoubleCB_v1","DoubleCB_v1","DoubleCB_v1","DoubleCB_v1","DoubleCB_v1","DoubleCB_v1","DoubleCB_v1","DoubleCB_v1","DoubleCB_v1","DoubleCB_v1","DoubleCB_v1","DoubleCB_v1","DoubleCB_v1"]
### signal mass fraction for non narrow samples
mass_fraction = [0.05,0.15,0.3]
BRnew = [00];
cprime = [10];
##################################################
# cross-sections for bulk graviton 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 bulk graviton 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}
###########################################################
### submit fit jobs on condor batch -> makeCards option ###
###########################################################
def submitBatchJob( command, fn ):
currentDir = os.getcwd();
# create a dummy bash/sh -> give to condor the instruction
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 ${PATH}');
outScript.write("\n"+'ls');
outScript.write("\n"+command);
outScript.write("\n"+'tar -cvzf outputFrom_'+fn+'.tar.gz *'); ## pruce a tar file as output
outScript.close();
#### link a condor script to your shell script
condorScript=open("condor_"+fn,"w");
condorScript.write('universe = vanilla')
condorScript.write("\n"+"Executable = "+fn+".sh")
condorScript.write("\n"+'Requirements = Memory >= 199 &&OpSys == "LINUX"&& (Arch != "DUMMY" )&& Disk > 1000000')
condorScript.write("\n"+'Should_Transfer_Files = YES')
condorScript.write("\n"+'Transfer_Input_Files = g1_exo_doFit_class.py')
condorScript.write("\n"+'WhenToTransferOutput = ON_EXIT_OR_EVICT')
condorScript.write("\n"+'Output = out_$(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 batch -> computeLimit option ###
##################################################################
def submitBatchJobCombine( command, fn, channel, mass, cprime, BRnew, purity, isReReco ):
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=="combo" :
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=="combo" :
if isReReco == 0:
file1 = "wwlvj_BulkG_WW_lvjj_c0p2_M%03d_%s_10_00_%s_unbin.txt"%(mass,channel,purity);
file2 = "wwlvj_BulkG_WW_lvjj_c0p2_M%03d_%s_10_00_%s_workspace.root"%(mass,channel,purity);
else:
file1 = "wwlvj_BulkG_WW_inclusive_c0p2_M%03d_%s_10_00_%s_unbin.txt"%(mass,channel,purity);
file2 = "wwlvj_BulkG_WW_inclusive_c0p2_M%03d_%s_10_00_%s_workspace.root"%(mass,channel,purity);
else:
if isReReco == 0:
file1 = "wwlvj_BulkG_WW_lvjj_c0p2_M%03d_%s_10_00_unbin.txt"%(mass,purity);
file2 = "wwlvj_BulkG_WW_lvjj_c0p2_M%03d_mu_10_00_HP_workspace.root"%(mass);
file3 = "wwlvj_BulkG_WW_lvjj_c0p2_M%03d_el_10_00_HP_workspace.root"%(mass);
file4 = "wwlvj_BulkG_WW_lvjj_c0p2_M%03d_mu_10_00_LP_workspace.root"%(mass);
file5 = "wwlvj_BulkG_WW_lvjj_c0p2_M%03d_el_10_00_LP_workspace.root"%(mass);
else:
file1 = "wwlvj_BulkG_WW_inclusive_c0p2_M%03d_%s_10_00_unbin.txt"%(mass,purity);
file2 = "wwlvj_BulkG_WW_inclusive_c0p2_M%03d_mu_10_00_HP_workspace.root"%(mass);
file3 = "wwlvj_BulkG_WW_inclusive_c0p2_M%03d_el_10_00_HP_workspace.root"%(mass);
file4 = "wwlvj_BulkG_WW_inclusive_c0p2_M%03d_mu_10_00_LP_workspace.root"%(mass);
file5 = "wwlvj_BulkG_WW_inclusive_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=="combo" : 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)
##################################################
### Get Limit Value from Combine -M Asymptotic ###
##################################################
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;
####################################################
### Get PValue from combine -M ProfileLikelihood ###
####################################################
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;
##########################################
### Make Limit Plot --> Brazilian Plot ###
##########################################
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]*sf2 );
ybins_obs.append( curAsymLimits[0]*sf2 );
ybins_2s.append( curAsymLimits[1]*sf2 );
ybins_1s.append( curAsymLimits[2]*sf2 );
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]];
sf2 = xsDict2[mass[i]];
curAsymLimits = getAsymLimits(curFile);
xbins_env.append( mass[i] );
ybins_2s.append( curAsymLimits[5]*sf2 );
ybins_1s.append( curAsymLimits[4]*sf2 );
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 =="_combo" :
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);
if suffix =="_em_HP" :
banner = TLatex(0.31,0.91,("CMS Preliminary, 19.5 fb^{-1} at #sqrt{s}=8TeV, e+#mu"));
banner.SetNDC(); banner.SetTextSize(0.032);
oneLine = ROOT.TF1("oneLine","1",799,1001);
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();
can_SM.SaveAs("~/LimitResult/Limit_ExpTail_modelIndependent/Lim%s.png"%(suffix));
can_SM.SaveAs("~/LimitResult/Limit_ExpTail_modelIndependent/Lim%s.pdf"%(suffix));
can_SM.SaveAs("~/LimitResult/Limit_ExpTail_modelIndependent/Lim%s.root"%(suffix));
can_SM.SaveAs("~/LimitResult/Limit_ExpTail_modelIndependent/Lim%s.C"%(suffix));
#################
### Main Code ###
#################
if __name__ == '__main__':
CHAN = options.channel;
moreCombineOpts = "";
### Set the working directory
if (options.computeLimits or options.plotLimits) and options.limitMode == 2 : os.chdir("cards_em_EXO_allCat_v2_ExpTail_g1_rereco_c0p5_modelIndependent");
elif (options.computeLimits or options.plotLimits) : os.chdir("cards_em_EXO_allCat_v2_ExpTail_g1_rereco_c0p5_modelIndependent");
### put in functionality to test just one mass point or just one cprime
nMasses = len(mass);
mLo = 0;
mHi = nMasses;
nMasses_width = len(mass_width);
mLo_width = 0;
mHi_width = nMasses_width;
nCprimes = len(cprime);
cpLo = 0;
cpHi = nCprimes;
if options.massPoint > 0 and not options.signalWidth:
curIndex = mass.index(options.massPoint);
mLo = curIndex;
mHi = curIndex+1;
elif options.massPoint > 0 and options.signalWidth:
curIndex = mass_width.index(options.massPoint);
mLo_width = curIndex;
mHi_width = curIndex+1;
if options.cPrime > 0:
curIndex = cprime.index(options.cPrime);
cpLo = curIndex;
cpHi = curIndex+1;
### Make cards option analysis
if options.makeCards:
if options.signalWidth == 0:
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);
if options.isReReco == 0 :
command = "python g1_exo_doFit_class.py %s BulkG_WW_lvjj_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);
else :
command = "python g1_exo_doFit_class.py %s BulkG_WW_inclusive_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);
print command ;
if options.batchMode :
fn = "fitScript_%s_%03d_%02d_%02d_%s"%(options.channel,mass[i],cprime[j],BRnew[0],options.category);
submitBatchJob(command,fn);
if not options.batchMode:
os.system(command);
elif options.signalWidth == 1:
for k in range(len(mass_fraction)):
for i in range(mLo_width,mHi_width):
for j in range(cpLo,cpHi):
print "###################################################";
print "###################################################";
print "####### R U N N I N G F I T S W I D T H #########";
print "mass = ",mass_width[i],", cprime = ",cprime[j]," mass_fraction = ",mass_fraction[k];
print "##################################################";
print "##################################################";
time.sleep(0.3);
if options.isReReco == 1 :
if int(mass_width[i]*mass_fraction[k]) < 100:
command = "python g1_exo_doFit_class.py %s BulkG_WW_inclusive_M%03d_W%02d %02d %02d %02d %02d %02d %02d %s %s -b -m --cprime %01d --BRnew 00 --inPath %s --category %s --closuretest %01d"%(CHAN, mass_width[i], mass_width[i]*mass_fraction[k],ccmlo_width[i], ccmhi_width[i], mjlo_width[i], mjhi_width[i], mlo_width[i], mhi_width[i], shape[i], shapeAlt[i], cprime[j], os.getcwd(), options.category,options.closuretest);
elif int(mass_width[i]*mass_fraction[k]) >= 100 and int(mass_width[i]*mass_fraction[k]) < 1000:
command = "python g1_exo_doFit_class.py %s BulkG_WW_inclusive_M%03d_W03%d %02d %02d %02d %02d %02d %02d %s %s -b -m --cprime %01d --BRnew 00 --inPath %s --category %s --closuretest %01d"%(CHAN, mass_width[i], mass_width[i]*mass_fraction[k],ccmlo_width[i], ccmhi_width[i], mjlo_width[i], mjhi_width[i], mlo_width[i], mhi_width[i], shape[i], shapeAlt[i], cprime[j], os.getcwd(), options.category,options.closuretest);
else:
command = "python g1_exo_doFit_class.py %s BulkG_WW_inclusive_M%03d_W%04d %02d %02d %02d %02d %02d %02d %s %s -b -m --cprime %01d --BRnew 00 --inPath %s --category %s --closuretest %01d"%(CHAN, mass_width[i], mass_width[i]*mass_fraction[k],ccmlo_width[i], ccmhi_width[i], mjlo_width[i], mjhi_width[i], mlo_width[i], mhi_width[i], shape[i], shapeAlt[i], cprime[j], os.getcwd(), options.category,options.closuretest);
print command ;
if options.batchMode :
fn = "fitScript_%s_W%s_%03d_%02d_%02d_%s"%(options.channel,mass_width[i],int(mass_width[i]*mass_fraction[k]),cprime[j],BRnew[0],options.category);
submitBatchJob(command,fn);
if not options.batchMode:
os.system(command);
### Make signal fit option
if options.fitSignal:
if options.signalWidth == 0:
for i in range(mLo,mHi):
for j in range(cpLo,cpHi):
print "##############################################";
print "##############################################";
print "############# FIT SIGNAL SHAPES ##############";
print "mass = ",mass[i],", cprime = ",cprime[j];
print "##############################################";
print "##############################################";
time.sleep(0.3);
if options.isReReco == 0 :
command = "python g1_exo_doFit_class.py %s BulkG_WW_lvjj_c0p2_M%03d %02d %02d %02d %02d %02d %02d %s %s -b -m --cprime %01d --BRnew 00 --inPath %s --category %s --closuretest %01d --fitSignal 1"%(CHAN, mass[i], ccmlo[i], ccmhi[i], mjlo[i], mjhi[i], mlo_sig[i], mhi_sig[i], shape_sig_narrow[i], shape_sig_width[i], cprime[j], os.getcwd(), options.category,options.closuretest);
elif options.isReReco == 1 :
command = "python g1_exo_doFit_class.py %s BulkG_WW_inclusive_c0p2_M%03d %02d %02d %02d %02d %02d %02d %s %s -b -m --cprime %01d --BRnew 00 --inPath %s --category %s --closuretest %01d --fitSignal 1"%(CHAN, mass[i], ccmlo[i], ccmhi[i], mjlo[i], mjhi[i], mlo_sig[i], mhi_sig[i], shape_sig_narrow[i], shape_sig_width[i], cprime[j], os.getcwd(), options.category,options.closuretest);
print command ;
if options.batchMode :
fn = "fitScript_signal_%s_%03d_%02d_%02d_%s"%(options.channel,mass[i],cprime[j],BRnew[0],options.category);
submitBatchJob(command,fn);
if not options.batchMode:
os.system(command);
elif options.signalWidth == 1:
for k in range(len(mass_fraction)):
for i in range(mLo_width,mHi_width):
for j in range(cpLo,cpHi):
print "###################################################";
print "###################################################";
print "####### R U N N I N G F I T S W I D T H #########";
print "mass = ",mass_width[i],", cprime = ",cprime[j]," mass_fraction = ",mass_fraction[k];
print "##################################################";
print "##################################################";
time.sleep(0.3);
if options.isReReco == 1 :
if int(mass_width[i]*mass_fraction[k]) < 100:
command = "python g1_exo_doFit_class.py %s BulkG_WW_inclusive_M%03d_W%02d %02d %02d %02d %02d %02d %02d %s %s -b -m --cprime %01d --BRnew 00 --inPath %s --category %s --closuretest %01d --fitSignal 1"%(CHAN, mass_width[i], mass_width[i]*mass_fraction[k],ccmlo_width[i], ccmhi_width[i], mjlo_width[i], mjhi_width[i], mlo_sig_width[i], mhi_sig_width[i], shape_sig_narrow[i], shape_sig_width[i], cprime[j], os.getcwd(), options.category,options.closuretest);
elif int(mass_width[i]*mass_fraction[k]) >= 100 and int(mass_width[i]*mass_fraction[k]) <= 1000:
command = "python g1_exo_doFit_class.py %s BulkG_WW_inclusive_M%03d_W%03d %02d %02d %02d %02d %02d %02d %s %s -b -m --cprime %01d --BRnew 00 --inPath %s --category %s --closuretest %01d --fitSignal 1"%(CHAN, mass_width[i], mass_width[i]*mass_fraction[k],ccmlo_width[i], ccmhi_width[i], mjlo_width[i], mjhi_width[i], mlo_sig_width[i], mhi_sig_width[i], shape_sig_narrow[i], shape_sig_width[i], cprime[j], os.getcwd(), options.category,options.closuretest);
else :
command = "python g1_exo_doFit_class.py %s BulkG_WW_inclusive_M%03d_W%04d %02d %02d %02d %02d %02d %02d %s %s -b -m --cprime %01d --BRnew 00 --inPath %s --category %s --closuretest %01d --fitSignal 1"%(CHAN, mass_width[i], mass_width[i]*mass_fraction[k],ccmlo_width[i], ccmhi_width[i], mjlo_width[i], mjhi_width[i], mlo_sig_width[i], mhi_sig_width[i], shape_sig_narrow[i], shape_sig_width[i], cprime[j], os.getcwd(), options.category,options.closuretest);
print command ;
if options.batchMode :
fn = "fitScript_%s_W%s_%03d_%02d_%02d_%s"%(options.channel,mass_width[i],int(mass_width[i]*mass_fraction[k]),cprime[j],BRnew[0],options.category);
submitBatchJob(command,fn);
if not options.batchMode:
os.system(command);
### Compute Limits
if options.computeLimits:
for i in range(mLo,mHi):
print "##################"+str(mass[i])+"#####################";
time.sleep(0.3);
### combine different categories HP and LP
if options.channel != "em" :
if options.isReReco == 0 :
combineCmmd = "combineCards.py wwlvj_BulkG_WW_lvjj_c0p2_M%03d_el_10_00_HP_unbin.txt wwlvj_BulkG_WW_lvjj_c0p2_M%03d_mu_10_00_HP_unbin.txt wwlvj_BulkG_WW_lvjj_c0p2_M%03d_el_10_00_LP_unbin.txt wwlvj_BulkG_WW_lvjj_c0p2_M%03d_mu_10_00_LP_unbin.txt > wwlvj_BulkG_WW_lvjj_c0p2_M%03d_combo_10_00_unbin.txt"%(mass[i],mass[i],mass[i],mass[i],mass[i]);
elif options.isReReco == 1 and options.channel != "em" :
combineCmmd = "combineCards.py wwlvj_BulkG_WW_inclusive_c0p2_M%03d_el_10_00_HP_unbin.txt wwlvj_BulkG_WW_inclusive_c0p2_M%03d_mu_10_00_HP_unbin.txt wwlvj_BulkG_WW_inclusive_c0p2_M%03d_el_10_00_LP_unbin.txt wwlvj_BulkG_WW_inclusive_c0p2_M%03d_mu_10_00_LP_unbin.txt > wwlvj_BulkG_WW_inclusive_c0p2_M%03d_combo_10_00_unbin.txt"%(mass[i],mass[i],mass[i],mass[i],mass[i]);
print combineCmmd
os.system(combineCmmd);
### Asymptotic Limit + profileLikelihood to have an hint of the r value
if options.limitMode==0:
## ele HP
if options.channel != "em":
if options.isReReco == 0 and not options.noSys:
runCmmd2 = "combine -M Asymptotic --minimizerAlgo Minuit2 --minosAlgo stepping -H ProfileLikelihood -m %03d -n _lim_%03d_%s_HP -d wwlvj_BulkG_WW_lvjj_c0p2_M%03d_%s_10_00_HP_unbin.txt -v 2"%(mass[i],mass[i],"el",mass[i],"el");
elif options.isReReco == 0 and options.noSys:
runCmmd2 = "combine -M Asymptotic --minimizerAlgo Minuit2 --minosAlgo stepping -H ProfileLikelihood -S 0 -m %03d -n _lim_%03d_%s_HP -d wwlvj_BulkG_WW_lvjj_c0p2_M%03d_%s_10_00_HP_unbin.txt -v 2"%(mass[i],mass[i],"el",mass[i],"el");
elif options.isReReco == 1 and not options.noSys:
runCmmd2 = "combine -M Asymptotic --minimizerAlgo Minuit2 --minosAlgo stepping -H ProfileLikelihood -m %03d -n _lim_%03d_%s_HP -d wwlvj_BulkG_WW_inclusive_c0p2_M%03d_%s_10_00_HP_unbin.txt -v 2"%(mass[i],mass[i],"el",mass[i],"el");
elif options.isReReco == 1 and options.noSys:
runCmmd2 = "combine -M Asymptotic --minimizerAlgo Minuit2 --minosAlgo stepping -H ProfileLikelihood -S 0 -m %03d -n _lim_%03d_%s_HP -d wwlvj_BulkG_WW_inclusive_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",options.isReReco);
else:
os.system(runCmmd2);
time.sleep(0.1);
## mu HP
if options.isReReco == 0 and not options.noSys:
runCmmd2 = "combine -M Asymptotic --minimizerAlgo Minuit2 --minosAlgo stepping -H ProfileLikelihood -m %03d -n _lim_%03d_%s_HP -d wwlvj_BulkG_WW_lvjj_c0p2_M%03d_%s_10_00_HP_unbin.txt -v 2"%(mass[i],mass[i],"mu",mass[i],"mu");
elif options.isReReco == 0 and options.noSys:
runCmmd2 = "combine -M Asymptotic --minimizerAlgo Minuit2 --minosAlgo stepping -H ProfileLikelihood -S 0 -m %03d -n _lim_%03d_%s_HP -d wwlvj_BulkG_WW_lvjj_c0p2_M%03d_%s_10_00_HP_unbin.txt -v 2"%(mass[i],mass[i],"mu",mass[i],"mu");
elif options.isReReco == 1 and not options.noSys:
runCmmd2 = "combine -M Asymptotic --minimizerAlgo Minuit2 --minosAlgo stepping -H ProfileLikelihood -m %03d -n _lim_%03d_%s_HP -d wwlvj_BulkG_WW_inclusive_c0p2_M%03d_%s_10_00_HP_unbin.txt -v 2"%(mass[i],mass[i],"mu",mass[i],"mu");
elif options.isReReco == 1 and options.noSys:
runCmmd2 = "combine -M Asymptotic --minimizerAlgo Minuit2 --minosAlgo stepping -H ProfileLikelihood -S 0 -m %03d -n _lim_%03d_%s_HP -d wwlvj_BulkG_WW_inclusive_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",options.isReReco);
else:
os.system(runCmmd2);
time.sleep(0.1);
## ele LP
if options.isReReco == 0 and not options.noSys:
runCmmd2 = "combine -M Asymptotic --minimizerAlgo Minuit2 --minosAlgo stepping -H ProfileLikelihood -m %03d -n _lim_%03d_%s_LP -d wwlvj_BulkG_WW_lvjj_c0p2_M%03d_%s_10_00_LP_unbin.txt -v 2"%(mass[i],mass[i],"el",mass[i],"el");
elif options.isReReco == 0 and options.noSys:
runCmmd2 = "combine -M Asymptotic --minimizerAlgo Minuit2 --minosAlgo stepping -H ProfileLikelihood -S 0 -m %03d -n _lim_%03d_%s_LP -d wwlvj_BulkG_WW_lvjj_c0p2_M%03d_%s_10_00_LP_unbin.txt -v 2"%(mass[i],mass[i],"el",mass[i],"el");
elif options.isReReco == 1 and not options.noSys:
runCmmd2 = "combine -M Asymptotic --minimizerAlgo Minuit2 --minosAlgo stepping -H ProfileLikelihood -m %03d -n _lim_%03d_%s_LP -d wwlvj_BulkG_WW_inclusive_c0p2_M%03d_%s_10_00_LP_unbin.txt -v 2"%(mass[i],mass[i],"el",mass[i],"el");
elif options.isReReco == 1 and options.noSys:
runCmmd2 = "combine -M Asymptotic --minimizerAlgo Minuit2 --minosAlgo stepping -H ProfileLikelihood -S 0 -m %03d -n _lim_%03d_%s_LP -d wwlvj_BulkG_WW_inclusive_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",options.isReReco);
else:
os.system(runCmmd2);
time.sleep(0.1);
## mu LP
if options.isReReco == 0 and not options.noSys:
runCmmd2 = "combine -M Asymptotic --minimizerAlgo Minuit2 --minosAlgo stepping -H ProfileLikelihood -m %03d -n _lim_%03d_%s_LP -d wwlvj_BulkG_WW_lvjj_c0p2_M%03d_%s_10_00_LP_unbin.txt -v 2"%(mass[i],mass[i],"mu",mass[i],"mu");
elif options.isReReco == 0 and options.noSys:
runCmmd2 = "combine -M Asymptotic --minimizerAlgo Minuit2 --minosAlgo stepping -H ProfileLikelihood -S 0 -m %03d -n _lim_%03d_%s_LP -d wwlvj_BulkG_WW_lvjj_c0p2_M%03d_%s_10_00_LP_unbin.txt -v 2"%(mass[i],mass[i],"mu",mass[i],"mu");
elif options.isReReco == 1 and not options.noSys:
runCmmd2 = "combine -M Asymptotic --minimizerAlgo Minuit2 --minosAlgo stepping -H ProfileLikelihood -m %03d -n _lim_%03d_%s_LP -d wwlvj_BulkG_WW_inclusive_c0p2_M%03d_%s_10_00_LP_unbin.txt -v 2"%(mass[i],mass[i],"mu",mass[i],"mu");
elif options.isReReco == 1 and options.noSys:
runCmmd2 = "combine -M Asymptotic --minimizerAlgo Minuit2 --minosAlgo stepping -H ProfileLikelihood -S 0 -m %03d -n _lim_%03d_%s_LP -d wwlvj_BulkG_WW_inclusive_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",options.isReReco);
else:
os.system(runCmmd2);
time.sleep(0.1);
## combined
if options.isReReco == 0 and not options.noSys:
runCmmd2 = "combine -M Asymptotic --minimizerAlgo Minuit2 --minosAlgo stepping -H ProfileLikelihood -m %03d -n _lim_%03d_%s -d wwlvj_BulkG_WW_lvjj_c0p2_M%03d_%s_10_00_unbin.txt -v 2"%(mass[i],mass[i],"combo",mass[i],"combo");
elif options.isReReco == 0 and options.noSys:
runCmmd2 = "combine -M Asymptotic --minimizerAlgo Minuit2 --minosAlgo stepping -H ProfileLikelihood -S 0 -m %03d -n _lim_%03d_%s -d wwlvj_BulkG_WW_lvjj_c0p2_M%03d_%s_10_00_unbin.txt -v 2"%(mass[i],mass[i],"combo",mass[i],"combo");
elif options.isReReco == 1 and not options.noSys:
runCmmd2 = "combine -M Asymptotic --minimizerAlgo Minuit2 --minosAlgo stepping -H ProfileLikelihood -m %03d -n _lim_%03d_%s -d wwlvj_BulkG_WW_inclusive_c0p2_M%03d_%s_10_00_unbin.txt -v 2"%(mass[i],mass[i],"combo",mass[i],"combo");
elif options.isReReco == 1 and options.noSys:
runCmmd2 = "combine -M Asymptotic --minimizerAlgo Minuit2 --minosAlgo stepping -H ProfileLikelihood -S 0 -m %03d -n _lim_%03d_%s -d wwlvj_BulkG_WW_inclusive_c0p2_M%03d_%s_10_00_unbin.txt -v 2"%(mass[i],mass[i],"combo",mass[i],"combo");
if options.batchMode:
fn = "combineScript_Asymptotic_%s_%03d%s_%02d_%02d"%("combo",mass[i],"combo",cprime[0],BRnew[0]);
submitBatchJobCombine(runCmmd2,fn,"",mass[i],cprime[0],BRnew[0],"combo",options.isReReco);
else:
os.system(runCmmd2);
elif options.channel == "em" :
## combined
if options.isReReco == 0 and not options.noSys:
runCmmd2 = "combine -M Asymptotic --minimizerAlgo Minuit2 --minosAlgo stepping -H ProfileLikelihood -m %03d -n _lim_%03d_%s_HP -d wwlvj_BulkG_WW_lvjj_c0p2_M%03d_%s_10_00_HP_unbin.txt -v 2"%(mass[i],mass[i],"em",mass[i],"em");
elif options.isReReco == 0 and options.noSys:
runCmmd2 = "combine -M Asymptotic --minimizerAlgo Minuit2 --minosAlgo stepping -H ProfileLikelihood -S 0 -m %03d -n _lim_%03d_%s_HP -d wwlvj_BulkG_WW_lvjj_c0p2_M%03d_%s_10_00_HP_unbin.txt -v 2"%(mass[i],mass[i],"em",mass[i],"em");
elif options.isReReco == 1 and not options.noSys:
runCmmd2 = "combine -M Asymptotic --minimizerAlgo Minuit2 --minosAlgo stepping -H ProfileLikelihood -m %03d -n _lim_%03d_%s_HP -d wwlvj_BulkG_WW_inclusive_c0p2_M%03d_%s_10_00_HP_unbin.txt -v 2"%(mass[i],mass[i],"em",mass[i],"em");
elif options.isReReco == 1 and options.noSys:
runCmmd2 = "combine -M Asymptotic --minimizerAlgo Minuit2 --minosAlgo stepping -H ProfileLikelihood -S 0 -m %03d -n _lim_%03d_%s_HP -d wwlvj_BulkG_WW_inclusive_c0p2_M%03d_%s_10_00_HP_unbin.txt -v 2"%(mass[i],mass[i],"em",mass[i],"em");
if options.batchMode:
fn = "combineScript_Asymptotic_%s_%03d%s_%02d_%02d_%s"%("em",mass[i],"",cprime[0],BRnew[0],"HP");
submitBatchJobCombine(runCmmd2,fn,"em",mass[i],cprime[0],BRnew[0],"HP",options.isReReco);
else:
os.system(runCmmd2);
time.sleep(0.1);
### pvalue evaluation
if options.limitMode == 1 :
if options.channel != "em":
## mu HP
print "##################### mu HP #####################";
if options.isReReco == 0:
runCmmd = "combine -M ProfileLikelihood --signif --pvalue -m %03d -n _pval_obs_%03d_%s_HP wwlvj_BulkG_WW_lvjj_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_WW_lvjj_c0p2_M%03d_%s_10_00_HP_unbin.txt -t -1 --expectSignal=1 --toysFreq"%(mass[i],mass[i],"mu",mass[i],"mu");
else:
runCmmd = "combine -M ProfileLikelihood --signif --pvalue -m %03d -n _pval_obs_%03d_%s_HP wwlvj_BulkG_WW_inclusive_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_WW_inclusive_c0p2_M%03d_%s_10_00_HP_unbin.txt -t -1 --expectSignal=1 --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",options.isReReco);
else:
os.system(runCmmd);
time.sleep(0.1);
## mu LP
print "##################### mu LP #####################";
runCmmd ="";
if options.isReReco == 0:
runCmmd = "combine -M ProfileLikelihood --signif --pvalue -m %03d -n _pval_obs_%03d_%s_LP wwlvj_BulkG_WW_lvjj_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_WW_lvjj_c0p2_M%03d_%s_10_00_LP_unbin.txt --expectSignal=1 --toysFreq -t -1"%(mass[i],mass[i],"mu",mass[i],"mu");
else:
runCmmd = "combine -M ProfileLikelihood --signif --pvalue -m %03d -n _pval_obs_%03d_%s_LP wwlvj_BulkG_WW_inclusive_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_WW_inclusive_c0p2_M%03d_%s_10_00_LP_unbin.txt --expectSignal=1 --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", options.isReReco);
else:
os.system(runCmmd);
time.sleep(0.1);
## el HP
print "##################### el HP #####################";
runCmmd ="";
if options.isReReco == 0:
runCmmd = "combine -M ProfileLikelihood --signif --pvalue -m %03d -n _pval_obs_%03d_%s_HP wwlvj_BulkG_WW_lvjj_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_WW_lvjj_c0p2_M%03d_%s_10_00_HP_unbin.txt --expectSignal=1 --toysFreq -t -1"%(mass[i],mass[i],"el",mass[i],"el");
else:
runCmmd = "combine -M ProfileLikelihood --signif --pvalue -m %03d -n _pval_obs_%03d_%s_HP wwlvj_BulkG_WW_inclusive_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_WW_inclusive_c0p2_M%03d_%s_10_00_HP_unbin.txt --expectSignal=1 --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",options.isReReco);
else:
os.system(runCmmd);
time.sleep(0.1);
## el LP
print "##################### el LP #####################";
runCmmd ="";
if options.isReReco == 0 :
runCmmd = "combine -M ProfileLikelihood --signif --pvalue -m %03d -n _pval_obs_%03d_%s_LP wwlvj_BulkG_WW_lvjj_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_WW_lvjj_c0p2_M%03d_%s_10_00_LP_unbin.txt --expectSignal=1 --toysFreq -t -1"%(mass[i],mass[i],"el",mass[i],"el");
else:
runCmmd = "combine -M ProfileLikelihood --signif --pvalue -m %03d -n _pval_obs_%03d_%s_LP wwlvj_BulkG_WW_inclusive_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_WW_inclusive_c0p2_M%03d_%s_10_00_LP_unbin.txt --expectSignal=1 --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",options.isReReco);
else:
os.system(runCmmd);
time.sleep(0.1);
## combined
runCmmd ="";
print "##################### combo #####################";
if options.isReReco == 0 :
runCmmd = "combine -M ProfileLikelihood --signif --pvalue -m %03d -n _pval_obs_%03d_%s wwlvj_BulkG_WW_lvjj_c0p2_M%03d_%s_10_00_unbin.txt\n"%(mass[i],mass[i],"combo",mass[i],"combo");
runCmmd += "combine -M ProfileLikelihood --signif --pvalue -m %03d -n _pval_exp_%03d_%s wwlvj_BulkG_WW_lvjj_c0p2_M%03d_%s_10_00_unbin.txt --expectSignal=1 --toysFreq -t -1"%(mass[i],mass[i],"combo",mass[i],"combo");
else:
runCmmd = "combine -M ProfileLikelihood --signif --pvalue -m %03d -n _pval_obs_%03d_%s wwlvj_BulkG_WW_inclusive_c0p2_M%03d_%s_10_00_unbin.txt\n"%(mass[i],mass[i],"combo",mass[i],"combo");
runCmmd += "combine -M ProfileLikelihood --signif --pvalue -m %03d -n _pval_exp_%03d_%s wwlvj_BulkG_WW_inclusive_c0p2_M%03d_%s_10_00_unbin.txt --expectSignal=1 --toysFreq -t -1"%(mass[i],mass[i],"combo",mass[i],"combo");
if options.batchMode:
fn = "combineScript_ProfileLikelihood_%s_%03d%s_%02d_%02d"%("combo",mass[i],"",cprime[0],BRnew[0]);
submitBatchJobCombine(runCmmd,fn,"combo",mass[i],cprime[0], BRnew[0],"combo",options.isReReco);
else:
os.system(runCmmd);
elif options.channel == "em":
## semplified for el+mu
runCmmd ="";
if options.isReReco == 0 :
runCmmd = "combine -M ProfileLikelihood --signif --pvalue -m %03d -n _pval_obs_%03d_%s_HP wwlvj_BulkG_WW_lvjj_c0p2_M%03d_%s_10_00_HP_unbin.txt\n"%(mass[i],mass[i],"em",mass[i],"em");
runCmmd += "combine -M ProfileLikelihood --signif --pvalue -m %03d -n _pval_exp_%03d_%s_HP wwlvj_BulkG_WW_lvjj_c0p2_M%03d_%s_10_00_HP_unbin.txt --expectSignal=1 --toysFreq -t -1"%(mass[i],mass[i],"em",mass[i],"em");
else:
runCmmd = "combine -M ProfileLikelihood --signif --pvalue -m %03d -n _pval_obs_%03d_%s_HP wwlvj_BulkG_WW_inclusive_c0p2_M%03d_%s_10_00_HP_unbin.txt\n"%(mass[i],mass[i],"em",mass[i],"em");
runCmmd += "combine -M ProfileLikelihood --signif --pvalue -m %03d -n _pval_exp_%03d_%s_HP wwlvj_BulkG_WW_inclusive_c0p2_M%03d_%s_10_00_HP_unbin.txt --expectSignal=1 --toysFreq -t -1"%(mass[i],mass[i],"em",mass[i],"em");
if options.batchMode:
fn = "combineScript_ProfileLikelihood_%s_%03d%s_%02d_%02d_%s"%("em",mass[i],"",cprime[0],BRnew[0],"HP");
submitBatchJobCombine(runCmmd,fn,"em",mass[i],cprime[0], BRnew[0],"HP",options.isReReco);
else:
os.system(runCmmd);
### Full CLs -> naive setup
if options.limitMode ==2:
if options.channel != "em":
## el HP
runCmmd3="";
runCmmd3 = runCmmd3 + "combine -M HybridNew --frequentist --minimizerAlgo Minuit2 -m %03d -n _lim_%03d_%s_HP -d wwlvj_BulkG_WW_lvjj_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_WW_lvjj_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_WW_lvjj_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_WW_lvjj_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_WW_lvjj_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_WW_lvjj_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);
## mu HP
runCmmd3="";
runCmmd3 = runCmmd3 + "combine -M HybridNew --frequentist --minimizerAlgo Minuit2 --rMin %s --rMax %s -m %03d -n _lim_%03d_%s_HP -d wwlvj_BulkG_WW_lvjj_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_WW_lvjj_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_WW_lvjj_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_WW_lvjj_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_WW_lvjj_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_WW_lvjj_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);
## el LP
runCmmd3="";
runCmmd3 = runCmmd3 + "combine -M HybridNew --frequentist --minimizerAlgo Minuit2 --rMin %s --rMax %s -m %03d -n _lim_%03d_%s_LP -d wwlvj_BulkG_WW_lvjj_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_WW_lvjj_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_WW_lvjj_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_WW_lvjj_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_WW_lvjj_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_WW_lvjj_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);
## mu LP
runCmmd3="";
runCmmd3 = runCmmd3 + "combine -M HybridNew --frequentist --minimizerAlgo Minuit2 --rMin %s --rMax %s -m %03d -n _lim_%03d_%s_LP -d wwlvj_BulkG_WW_lvjj_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_WW_lvjj_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_WW_lvjj_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_WW_lvjj_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_WW_lvjj_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_WW_lvjj_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);
## combined
runCmmd3="";
runCmmd3 = runCmmd3 + "combine -M HybridNew --frequentist --minimizerAlgo Minuit2 --rMin %s --rMax %s -m %03d -n _lim_%03d_%s -d wwlvj_BulkG_WW_lvjj_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],"combo",mass[i],"combo");
runCmmd3 = runCmmd3 + "combine -M HybridNew --frequentist --minimizerAlgo Minuit2 --rMin %s --rMax %s -m %03d -n _lim_%03d_%s -d wwlvj_BulkG_WW_lvjj_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],"combo",mass[i],"combo");
runCmmd3 = runCmmd3 + "combine -M HybridNew --frequentist --minimizerAlgo Minuit2 --rMin %s --rMax %s -m %03d -n _lim_%03d_%s -d wwlvj_BulkG_WW_lvjj_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],"combo",mass[i],"combo");
runCmmd3 = runCmmd3 + "combine -M HybridNew --frequentist --minimizerAlgo Minuit2 --rMin %s --rMax %s -m %03d -n _lim_%03d_%s -d wwlvj_BulkG_WW_lvjj_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],"combo",mass[i],"combo");
runCmmd3 = runCmmd3 + "combine -M HybridNew --frequentist --minimizerAlgo Minuit2 --rMin %s --rMax %s -m %03d -n _lim_%03d_%s -d wwlvj_BulkG_WW_lvjj_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],"combo",mass[i],"combo");
runCmmd3 = runCmmd3 + "combine -M HybridNew --frequentist --minimizerAlgo Minuit2 --rMin %s --rMax %s -m %03d -n _lim_%03d_%s -d wwlvj_BulkG_WW_lvjj_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],"combo",mass[i],"combo");
if options.batchMode:
fn = "combineScript_HybridNew_%s_%03d%s_%02d_%02d"%("combo",mass[i],"",cprime[0],BRnew[0]);
submitBatchJobCombine( runCmmd3,fn, "",mass[i], cprime[0], BRnew[0],"combo" );
else:
os.system(runCmmd3);
elif options.channel == "em":
## combined
runCmmd3="";
runCmmd3 = runCmmd3 + "combine -M HybridNew --frequentist --minimizerAlgo Minuit2 --rMin %s --rMax %s -m %03d -n _lim_%03d_%s_HP -d wwlvj_BulkG_WW_lvjj_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],"em",mass[i],"em");
runCmmd3 = runCmmd3 + "combine -M HybridNew --frequentist --minimizerAlgo Minuit2 --rMin %s --rMax %s -m %03d -n _lim_%03d_%s_HP -d wwlvj_BulkG_WW_lvjj_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],"em",mass[i],"em");
runCmmd3 = runCmmd3 + "combine -M HybridNew --frequentist --minimizerAlgo Minuit2 --rMin %s --rMax %s -m %03d -n _lim_%03d_%s_HP -d wwlvj_BulkG_WW_lvjj_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],"em",mass[i],"em");
runCmmd3 = runCmmd3 + "combine -M HybridNew --frequentist --minimizerAlgo Minuit2 --rMin %s --rMax %s -m %03d -n _lim_%03d_%s_HP -d wwlvj_BulkG_WW_lvjj_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],"em",mass[i],"em");
runCmmd3 = runCmmd3 + "combine -M HybridNew --frequentist --minimizerAlgo Minuit2 --rMin %s --rMax %s -m %03d -n _lim_%03d_%s_HP -d wwlvj_BulkG_WW_lvjj_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],"em",mass[i],"em");
runCmmd3 = runCmmd3 + "combine -M HybridNew --frequentist --minimizerAlgo Minuit2 --rMin %s --rMax %s -m %03d -n _lim_%03d_%s_HP -d wwlvj_BulkG_WW_lvjj_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],"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);
### maximum likelihood fit plus toys for S+B -> get bias estimation
if options.limitMode == 3 :
tmp_rMin=0.01; tmp_rMax=1000;
if mass[i]>=2000: tmp_rMin=1000; tmp_rMax=50000;
if mass[i]>=1500 and mass[i]<2000: tmp_rMin=100; tmp_rMax=10000;
if mass[i]>=700 and mass[i]<1500: tmp_rMin=10; tmp_rMax=5000;
if mass[i]<700: tmp_rMin=0.001; tmp_rMax=1000;
if options.channel != "em":
## mu HP
if options.isReReco == 0:
#runCmmd = "combine -M MaxLikelihoodFit --minimizerAlgo Minuit2 --rMin %s --rMax %s -m %03d -n _fit_%03d_%s_HP wwlvj_BulkG_WW_lvjj_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_WW_lvjj_c0p2_M%03d_%s_10_00_HP_unbin.txt -t 500 --expectSignal=600"%(tmp_rMin,tmp_rMax,mass[i],mass[i],"mu",mass[i],"mu");
else :
#runCmmd = "combine -M MaxLikelihoodFit --minimizerAlgo Minuit2 --rMin %s --rMax %s -m %03d -n _fit_%03d_%s_HP wwlvj_BulkG_WW_inclusive_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_WW_inclusive_c0p2_M%03d_%s_10_00_HP_unbin.txt -t 500 --expectSignal=600"%(tmp_rMin,tmp_rMax,mass[i],mass[i],"mu",mass[i],"mu");
print runCmmd
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",options.isReReco);
else:
os.system(runCmmd);
time.sleep(0.1);
## mu LP
if options.isReReco == 0:
#runCmmd = "combine -M MaxLikelihoodFit --minimizerAlgo Minuit2 --minimizerStrategy 2 --rMin %s --rMax %s -m %03d -n _fit_%03d_%s_LP wwlvj_BulkG_WW_lvjj_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_WW_lvjj_c0p2_M%03d_%s_10_00_LP_unbin.txt -t 500 --expectSignal=2000 -s -1 "%(tmp_rMin,tmp_rMax,mass[i],mass[i],"mu",mass[i],"mu");
else:
#runCmmd = "combine -M MaxLikelihoodFit --minimizerAlgo Minuit2 --minimizerStrategy 2 --rMin %s --rMax %s -m %03d -n _fit_%03d_%s_LP wwlvj_BulkG_WW_inclusive_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_WW_inclusive_c0p2_M%03d_%s_10_00_LP_unbin.txt -t 500 --expectSignal=2000 -s -1 "%(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",options.isReReco);
else:
os.system(runCmmd);
time.sleep(0.1);
## el HP
if options.isReReco == 0:
#runCmmd = "combine -M MaxLikelihoodFit --minimizerAlgo Minuit2 --minimizerStrategy 2 --rMin %s --rMax %s -m %03d -n _fit_%03d_%s_HP wwlvj_BulkG_WW_lvjj_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_WW_lvjj_c0p2_M%03d_%s_10_00_HP_unbin.txt -t 500 --expectSignal=600 -s -1 "%(tmp_rMin,tmp_rMax,mass[i],mass[i],"el",mass[i],"el");