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ra2bRoostatsClass.c
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//
// Owen Long, UCR
// Harrison Prosper, FSU
// Sezen Sekmen, FSU
//
//
#include "ra2bRoostatsClass.h"
#include <iostream>
#include "TCanvas.h"
#include "TStyle.h"
#include "THStack.h"
#include "TLegend.h"
#include "TText.h"
#include "TFile.h"
#include "TTree.h"
#include "TRandom1.h"
#include "TH2F.h"
#include "TGaxis.h"
#include "TLine.h"
#include "RooArgSet.h"
#include "RooConstVar.h"
#include "RooStats/ProfileLikelihoodCalculator.h"
#include "RooStats/LikelihoodInterval.h"
#include "RooStats/LikelihoodIntervalPlot.h"
#include "LikelihoodIntervalPlot.cxx"
using namespace RooFit ;
using namespace RooStats ;
//=====================================================================================================
ra2bRoostatsClass::ra2bRoostatsClass( bool ArgUseSigBgVars ) {
gStyle->SetOptStat(0) ;
useSigBgVars = ArgUseSigBgVars ;
//--- Tell RooFit to shut up about anything less important than an ERROR.
RooMsgService::instance().setGlobalKillBelow(RooFit::ERROR) ;
printf("\n\n ==== RooFit output configuration ===============\n") ;
RooMsgService::instance().Print() ;
printf("\n\n ================================================\n") ;
varsAtFitVals = false ;
initialized = false ;
}
//==================================================================================================
bool ra2bRoostatsClass::generateToyDatasetsFromLikelihood( const char* outputRootFile, int nToys ) {
if ( ! initialized ) {
printf("\n\n *** Call initialize first.\n\n") ;
return false ;
}
TTree* toyOutputTrueTree = new TTree("toytruetree", "ra2b toy mean true value tree" ) ;
toyOutputTrueTree->Branch("mu0_ttbar_sig" , &toy_mu0_ttbar_sig, "mu0_ttbar_sig/D" ) ;
toyOutputTrueTree->Branch("mu0_qcd_sig" , &toy_mu0_qcd_sig, "mu0_qcd_sig/D" ) ;
toyOutputTrueTree->Branch("mu0_ttbar_sb" , &toy_mu0_ttbar_sb, "mu0_ttbar_sb/D" ) ;
toyOutputTrueTree->Branch("mu0_qcd_sb" , &toy_mu0_qcd_sb, "mu0_qcd_sb/D" ) ;
toyOutputTrueTree->Branch("mu0_susy_sig" , &toy_mu0_susy_sig , "mu0_susy_sig/D" ) ;
toyOutputTrueTree->Branch("mu0_allbg_sig" , &toy_mu0_allbg_sig , "mu0_allbg_sig/D" ) ;
//--- Set the true values.
if ( useSigBgVars ) {
toy_mu0_ttbar_sig = rrv_mu_ttbar_sig->getVal() ;
toy_mu0_qcd_sig = rrv_mu_qcd_sig->getVal() ;
toy_mu0_ttbar_sb = rfv_mu_ttbar_sb->getVal() ;
toy_mu0_qcd_sb = rfv_mu_qcd_sb->getVal() ;
} else {
toy_mu0_ttbar_sig = rfv_mu_ttbar_sig->getVal() ;
toy_mu0_qcd_sig = rfv_mu_qcd_sig->getVal() ;
toy_mu0_ttbar_sb = rrv_mu_ttbar_sb->getVal() ;
toy_mu0_qcd_sb = rrv_mu_qcd_sb->getVal() ;
}
toy_mu0_susy_sig = rv_mu_susy_sig->getVal() ;
toy_mu0_allbg_sig = rv_mu_ew_sig->getVal() + toy_mu0_ttbar_sig + toy_mu0_qcd_sig ;
printf("\n\n") ;
printf(" Mean true values used in toy generation:\n") ;
printf(" mu0_ttbar_sig : %6.1f\n", toy_mu0_ttbar_sig ) ;
printf(" mu0_qcd_sig : %6.1f\n", toy_mu0_qcd_sig ) ;
printf(" mu0_ttbar_sb : %6.1f\n", toy_mu0_ttbar_sb ) ;
printf(" mu0_qcd_sb : %6.1f\n", toy_mu0_qcd_sb ) ;
printf(" mu0_susy_sig : %6.1f\n", toy_mu0_susy_sig ) ;
printf(" mu0_allbg_sig : %6.1f\n", toy_mu0_allbg_sig ) ;
//--- generate some toy datasets.
printf("\n\n Opening output toy datasets root file : %s\n", outputRootFile ) ;
TFile toyOutputFile( outputRootFile, "recreate" ) ;
RooDataSet* toyDatasets = likelihood->generate( observedParametersList, nToys ) ;
const TTree* toyTree = toyDatasets->tree() ;
toyTree->Write() ;
toyOutputTrueTree->Fill() ;
toyOutputTrueTree->Write() ;
printf("\n\n Closing output toy datasets root file : %s\n", outputRootFile ) ;
toyOutputFile.Close() ;
return true ;
} // generateToyDatasetsFromLikelihood
//==================================================================================================
bool ra2bRoostatsClass::generateToyDatasetsFromNVals( const char* outputRootFile, int nToys ) {
if ( ! initialized ) {
printf("\n\n *** Call initialize first.\n\n") ;
return false ;
}
TTree* toyOutputTrueTree = new TTree("toytruetree", "ra2b toy mean true value tree" ) ;
toyOutputTrueTree->Branch("mu0_ttbar_sig" , &toy_mu0_ttbar_sig, "mu0_ttbar_sig/D" ) ;
toyOutputTrueTree->Branch("mu0_qcd_sig" , &toy_mu0_qcd_sig, "mu0_qcd_sig/D" ) ;
toyOutputTrueTree->Branch("mu0_ttbar_sb" , &toy_mu0_ttbar_sb, "mu0_ttbar_sb/D" ) ;
toyOutputTrueTree->Branch("mu0_qcd_sb" , &toy_mu0_qcd_sb, "mu0_qcd_sb/D" ) ;
toyOutputTrueTree->Branch("mu0_susy_sig" , &toy_mu0_susy_sig , "mu0_susy_sig/D" ) ;
toyOutputTrueTree->Branch("mu0_allbg_sig" , &toy_mu0_allbg_sig , "mu0_allbg_sig/D" ) ;
//--- Set the true values.
if ( useSigBgVars ) {
toy_mu0_ttbar_sig = rrv_mu_ttbar_sig->getVal() ;
toy_mu0_qcd_sig = rrv_mu_qcd_sig->getVal() ;
toy_mu0_ttbar_sb = rfv_mu_ttbar_sb->getVal() ;
toy_mu0_qcd_sb = rfv_mu_qcd_sb->getVal() ;
} else {
toy_mu0_ttbar_sig = rfv_mu_ttbar_sig->getVal() ;
toy_mu0_qcd_sig = rfv_mu_qcd_sig->getVal() ;
toy_mu0_ttbar_sb = rrv_mu_ttbar_sb->getVal() ;
toy_mu0_qcd_sb = rrv_mu_qcd_sb->getVal() ;
}
toy_mu0_susy_sig = rv_mu_susy_sig->getVal() ;
toy_mu0_allbg_sig = rv_mu_ew_sig->getVal() + toy_mu0_ttbar_sig + toy_mu0_qcd_sig ;
printf("\n\n") ;
printf(" Mean true values used in toy generation:\n") ;
printf(" mu0_ttbar_sig : %6.1f\n", toy_mu0_ttbar_sig ) ;
printf(" mu0_qcd_sig : %6.1f\n", toy_mu0_qcd_sig ) ;
printf(" mu0_ttbar_sb : %6.1f\n", toy_mu0_ttbar_sb ) ;
printf(" mu0_qcd_sb : %6.1f\n", toy_mu0_qcd_sb ) ;
printf(" mu0_susy_sig : %6.1f\n", toy_mu0_susy_sig ) ;
printf(" mu0_allbg_sig : %6.1f\n", toy_mu0_allbg_sig ) ;
//--- generate some toy datasets.
printf("\n\n Opening output toy datasets root file : %s\n", outputRootFile ) ;
TTree* toyTree = new TTree("likelihoodData", "ra2b observed values generated from Nvals") ;
double Nsig, Na, Nd,
Nsb1, Nsb2, Nsb3, Nsb4, Nsb5,
Nlsb1, Nlsb2, Nlsb3, Nlsb4, Nlsb5,
Nslsig1, Nslsig2, Nslsig3, Nslsig4, Nslsig5,
Nslsb1, Nslsb2, Nslsb3, Nslsb4, Nslsb5,
Nslmsb1, Nslmsb2, Nslmsb3, Nslmsb4, Nslmsb5,
Nqcdmca, Nqcdmcd, Nqcdmcsig, Nqcdmcsb ;
toyTree->Branch("Nsig" , &Nsig , "Nsig/D" ) ;
toyTree->Branch("Na" , &Na , "Na/D" ) ;
toyTree->Branch("Nd" , &Nd , "Nd/D" ) ;
toyTree->Branch("Nsb1" , &Nsb1 , "Nsb1/D" ) ;
toyTree->Branch("Nsb2" , &Nsb2 , "Nsb2/D" ) ;
toyTree->Branch("Nsb3" , &Nsb3 , "Nsb3/D" ) ;
toyTree->Branch("Nsb4" , &Nsb4 , "Nsb4/D" ) ;
toyTree->Branch("Nsb5" , &Nsb5 , "Nsb5/D" ) ;
toyTree->Branch("Nlsb1" , &Nlsb1 , "Nlsb1/D" ) ;
toyTree->Branch("Nlsb2" , &Nlsb2 , "Nlsb2/D" ) ;
toyTree->Branch("Nlsb3" , &Nlsb3 , "Nlsb3/D" ) ;
toyTree->Branch("Nlsb4" , &Nlsb4 , "Nlsb4/D" ) ;
toyTree->Branch("Nlsb5" , &Nlsb5 , "Nlsb5/D" ) ;
toyTree->Branch("Nslsig1" , &Nslsig1 , "Nslsig1/D" ) ;
toyTree->Branch("Nslsig2" , &Nslsig2 , "Nslsig2/D" ) ;
toyTree->Branch("Nslsig3" , &Nslsig3 , "Nslsig3/D" ) ;
toyTree->Branch("Nslsig4" , &Nslsig4 , "Nslsig4/D" ) ;
toyTree->Branch("Nslsig5" , &Nslsig5 , "Nslsig5/D" ) ;
toyTree->Branch("Nslsb1" , &Nslsb1 , "Nslsb1/D" ) ;
toyTree->Branch("Nslsb2" , &Nslsb2 , "Nslsb2/D" ) ;
toyTree->Branch("Nslsb3" , &Nslsb3 , "Nslsb3/D" ) ;
toyTree->Branch("Nslsb4" , &Nslsb4 , "Nslsb4/D" ) ;
toyTree->Branch("Nslsb5" , &Nslsb5 , "Nslsb5/D" ) ;
toyTree->Branch("Nslmsb1" , &Nslmsb1 , "Nslmsb1/D" ) ;
toyTree->Branch("Nslmsb2" , &Nslmsb2 , "Nslmsb2/D" ) ;
toyTree->Branch("Nslmsb3" , &Nslmsb3 , "Nslmsb3/D" ) ;
toyTree->Branch("Nslmsb4" , &Nslmsb4 , "Nslmsb4/D" ) ;
toyTree->Branch("Nslmsb5" , &Nslmsb5 , "Nslmsb5/D" ) ;
toyTree->Branch("Nqcdmca" , &Nqcdmca , "Nqcdmca/D" ) ;
toyTree->Branch("Nqcdmcd" , &Nqcdmcd , "Nqcdmcd/D" ) ;
toyTree->Branch("Nqcdmcsig" , &Nqcdmcsig , "Nqcdmcsig/D" ) ;
toyTree->Branch("Nqcdmcsb" , &Nqcdmcsb , "Nqcdmcsb/D" ) ;
TRandom1 rg(12345) ;
for ( int dsi=0; dsi<nToys; dsi++ ) {
Nsig = rg.Poisson( rv_Nsig ->getVal() ) ;
Na = rg.Poisson( rv_Na ->getVal() ) ;
Nd = rg.Poisson( rv_Nd ->getVal() ) ;
Nsb1 = rg.Poisson( rv_Nsb1 ->getVal() ) ;
Nsb2 = rg.Poisson( rv_Nsb2 ->getVal() ) ;
Nsb3 = rg.Poisson( rv_Nsb3 ->getVal() ) ;
Nsb4 = rg.Poisson( rv_Nsb4 ->getVal() ) ;
Nsb5 = rg.Poisson( rv_Nsb5 ->getVal() ) ;
Nlsb1 = rg.Poisson( rv_Nlsb1 ->getVal() ) ;
Nlsb2 = rg.Poisson( rv_Nlsb2 ->getVal() ) ;
Nlsb3 = rg.Poisson( rv_Nlsb3 ->getVal() ) ;
Nlsb4 = rg.Poisson( rv_Nlsb4 ->getVal() ) ;
Nlsb5 = rg.Poisson( rv_Nlsb5 ->getVal() ) ;
Nslsig1 = rg.Poisson( rv_Nslsig1 ->getVal() ) ;
Nslsig2 = rg.Poisson( rv_Nslsig2 ->getVal() ) ;
Nslsig3 = rg.Poisson( rv_Nslsig3 ->getVal() ) ;
Nslsig4 = rg.Poisson( rv_Nslsig4 ->getVal() ) ;
Nslsig5 = rg.Poisson( rv_Nslsig5 ->getVal() ) ;
Nslsb1 = rg.Poisson( rv_Nslsb1 ->getVal() ) ;
Nslsb2 = rg.Poisson( rv_Nslsb2 ->getVal() ) ;
Nslsb3 = rg.Poisson( rv_Nslsb3 ->getVal() ) ;
Nslsb4 = rg.Poisson( rv_Nslsb4 ->getVal() ) ;
Nslsb5 = rg.Poisson( rv_Nslsb5 ->getVal() ) ;
Nslmsb1 = rg.Poisson( rv_Nslmsb1 ->getVal() ) ;
Nslmsb2 = rg.Poisson( rv_Nslmsb2 ->getVal() ) ;
Nslmsb3 = rg.Poisson( rv_Nslmsb3 ->getVal() ) ;
Nslmsb4 = rg.Poisson( rv_Nslmsb4 ->getVal() ) ;
Nslmsb5 = rg.Poisson( rv_Nslmsb5 ->getVal() ) ;
Nqcdmca = rg.Poisson( rv_Nqcdmca ->getVal() ) ;
Nqcdmcd = rg.Poisson( rv_Nqcdmcd ->getVal() ) ;
Nqcdmcsig = rg.Poisson( rv_Nqcdmcsig ->getVal() ) ;
Nqcdmcsb = rg.Poisson( rv_Nqcdmcsb ->getVal() ) ;
toyTree->Fill() ;
} // dsi.
TFile toyOutputFile( outputRootFile, "recreate" ) ;
toyTree->Write() ;
toyOutputTrueTree->Fill() ;
toyOutputTrueTree->Write() ;
printf("\n\n Closing output toy datasets root file : %s\n", outputRootFile ) ;
toyOutputFile.Close() ;
return true ;
} // generateToyDatasetsFromNVals
//==================================================================================================
bool ra2bRoostatsClass::doFit( ) {
if ( ! initialized ) {
printf("\n\n *** Call initialize first.\n\n") ;
return false ;
}
printf("\n\n") ;
printf(" Fitting with these values for the observables.\n") ;
dsObserved->printMultiline(cout, 1, kTRUE, "") ;
printf("\n\n") ;
fitResult = likelihood->fitTo(*dsObserved, Save(true));
printf("\n\n----- Constant parameters:\n") ;
RooArgList constPars = fitResult->constPars() ;
for ( int pi=0; pi<constPars.getSize(); pi++ ) {
constPars[pi].Print() ;
} // pi.
printf("\n\n----- Floating parameters:\n") ;
RooArgList floatPars = fitResult->floatParsFinal() ;
for ( int pi=0; pi<floatPars.getSize(); pi++ ) {
floatPars[pi].Print() ;
} // pi.
printf("\n\n") ;
float Amc = rv_mu_qcdmc_a->getVal() ;
float Dmc = rv_mu_qcdmc_d->getVal() ;
float Bmc = rv_mu_qcdmc_sb->getVal() ;
float Cmc = rv_mu_qcdmc_sig->getVal() ;
float K = Amc * Cmc / ( Bmc * Dmc ) ;
qcdCorrection = K ;
float covAA = pow( rv_mu_qcdmc_a->getError(), 2 ) ;
float covDD = pow( rv_mu_qcdmc_d->getError(), 2 ) ;
float covBB = pow( rv_mu_qcdmc_sb->getError(), 2 ) ;
float covCC = pow( rv_mu_qcdmc_sig->getError(), 2 ) ;
float rhoAB = fitResult->correlation( "mu_qcdmc_a", "mu_qcdmc_sb" ) ;
float rhoAC = fitResult->correlation( "mu_qcdmc_a", "mu_qcdmc_sig" ) ;
float rhoAD = fitResult->correlation( "mu_qcdmc_a", "mu_qcdmc_d" ) ;
float rhoBC = fitResult->correlation( "mu_qcdmc_sb", "mu_qcdmc_sig" ) ;
float rhoBD = fitResult->correlation( "mu_qcdmc_sb", "mu_qcdmc_d" ) ;
float rhoCD = fitResult->correlation( "mu_qcdmc_sig", "mu_qcdmc_d" ) ;
float covAB = rhoAB * sqrt( covAA * covBB ) ;
float covAC = rhoAC * sqrt( covAA * covCC ) ;
float covAD = rhoAD * sqrt( covAA * covDD ) ;
float covBC = rhoBC * sqrt( covBB * covCC ) ;
float covBD = rhoBD * sqrt( covBB * covDD ) ;
float covCD = rhoCD * sqrt( covCC * covDD ) ;
qcdCorrectionErr = K * sqrt(
covAA/(Amc*Amc) + covBB/(Bmc*Bmc) + covCC/(Cmc*Cmc) + covDD/(Dmc*Dmc)
-2 * covAB / (Amc*Bmc) +2 * covAC / (Amc*Cmc) -2 * covAD / (Amc*Dmc)
+2 * covBC / (Bmc*Cmc) -2 * covBD / (Bmc*Dmc)
-2 * covCD / (Cmc*Dmc)
) ;
printf(" QCD bias correction: %4.2f +/- %4.2f\n", qcdCorrection, qcdCorrectionErr ) ;
varsAtFitVals = true ;
return true ;
} // doFit .
//==================================================================================================
bool ra2bRoostatsClass::profileSusySig( float& susySigLow, float& susySigHigh, bool makePlot ) {
if ( ! initialized ) {
printf("\n\n *** Call initialize first.\n\n") ;
return false ;
}
//--- Profile likelihood for signal susy yield.
ProfileLikelihoodCalculator plc_susy_sig( *dsObserved, *likelihood, RooArgSet( *rv_mu_susy_sig ) ) ;
plc_susy_sig.SetTestSize(0.05) ;
ConfInterval* plinterval_susy_sig = plc_susy_sig.GetInterval() ;
susySigLow = ((LikelihoodInterval*) plinterval_susy_sig)->LowerLimit(*rv_mu_susy_sig) ;
susySigHigh = ((LikelihoodInterval*) plinterval_susy_sig)->UpperLimit(*rv_mu_susy_sig) ;
printf("\n\n") ;
printf(" susy, SIG 95%% CL interval [%5.1f, %5.1f]\n\n", susySigLow, susySigHigh ) ;
if ( makePlot ) {
TCanvas* plcplot_susy_sig = new TCanvas("plcplot_susy_sig", "susy sig, Profile likelihood", 500, 400 ) ;
LikelihoodIntervalPlot plotInt_susy_sig((LikelihoodInterval*)plinterval_susy_sig);
plotInt_susy_sig.Draw() ;
plcplot_susy_sig->SaveAs("plscan_susy_sig.pdf") ;
plcplot_susy_sig->SaveAs("plscan_susy_sig.png") ;
}
varsAtFitVals = false ;
delete plinterval_susy_sig ; // can I safely do this???
return true ;
}
//==================================================================================================
bool ra2bRoostatsClass::profileTtbarSig( float& ttbarSigLow, float& ttbarSigHigh ) {
if ( ! initialized ) {
printf("\n\n *** Call initialize first.\n\n") ;
return false ;
}
if ( ! useSigBgVars ) {
printf("\n\n\n *** Can't do it. Need to use ra2bRoostatsClass with constructor arg useSigBgVars set to true.\n\n") ;
return false ;
}
//--- Profile likelihood for SIG ttbar yield.
ProfileLikelihoodCalculator plc_ttbar_sig( *dsObserved, *likelihood, RooArgSet( *rv_mu_ttbar_sig ) ) ;
plc_ttbar_sig.SetTestSize(0.32) ;
ConfInterval* plinterval_ttbar_sig = plc_ttbar_sig.GetInterval() ;
ttbarSigLow = ((LikelihoodInterval*) plinterval_ttbar_sig)->LowerLimit(*rrv_mu_ttbar_sig) ;
ttbarSigHigh = ((LikelihoodInterval*) plinterval_ttbar_sig)->UpperLimit(*rrv_mu_ttbar_sig) ;
printf("\n\n") ;
printf(" ttbar, SIG 68%% CL interval [%5.1f, %5.1f]\n\n", ttbarSigLow, ttbarSigHigh ) ;
TCanvas* plcplot_ttbar_sig = new TCanvas("plcplot_ttbar_sig", "ttbar sig, Profile likelihood", 500, 400 ) ;
LikelihoodIntervalPlot plotInt_ttbar_sig((LikelihoodInterval*)plinterval_ttbar_sig);
plotInt_ttbar_sig.Draw() ;
plcplot_ttbar_sig->SaveAs("plscan_ttbar_sig.pdf") ;
plcplot_ttbar_sig->SaveAs("plscan_ttbar_sig.png") ;
varsAtFitVals = false ;
return true ;
}
//==================================================================================================
bool ra2bRoostatsClass::profileQcdSig( float& qcdSigLow, float& qcdSigHigh ) {
if ( ! initialized ) {
printf("\n\n *** Call initialize first.\n\n") ;
return false ;
}
if ( ! useSigBgVars ) {
printf("\n\n\n *** Can't do it. Need to use ra2bRoostatsClass with constructor arg useSigBgVars set to true.\n\n") ;
return false ;
}
//--- Profile likelihood for SIG qcd yield.
ProfileLikelihoodCalculator plc_qcd_sig( *dsObserved, *likelihood, RooArgSet( *rv_mu_qcd_sig ) ) ;
plc_qcd_sig.SetTestSize(0.32) ;
ConfInterval* plinterval_qcd_sig = plc_qcd_sig.GetInterval() ;
qcdSigLow = ((LikelihoodInterval*) plinterval_qcd_sig)->LowerLimit(*rrv_mu_qcd_sig) ;
qcdSigHigh = ((LikelihoodInterval*) plinterval_qcd_sig)->UpperLimit(*rrv_mu_qcd_sig) ;
printf("\n\n") ;
printf(" qcd, SIG 68%% CL interval [%5.1f, %5.1f]\n\n", qcdSigLow, qcdSigHigh ) ;
TCanvas* plcplot_qcd_sig = new TCanvas("plcplot_qcd_sig", "qcd sig, Profile likelihood", 500, 400 ) ;
LikelihoodIntervalPlot plotInt_qcd_sig((LikelihoodInterval*)plinterval_qcd_sig);
plotInt_qcd_sig.Draw() ;
plcplot_qcd_sig->SaveAs("plscan_qcd_sig.pdf") ;
plcplot_qcd_sig->SaveAs("plscan_qcd_sig.png") ;
varsAtFitVals = false ;
return true ;
}
//==================================================================================================
bool ra2bRoostatsClass::profileTtbarSb( float& ttbarSbLow, float& ttbarSbHigh ) {
if ( ! initialized ) {
printf("\n\n *** Call initialize first.\n\n") ;
return false ;
}
if ( useSigBgVars ) {
printf("\n\n\n *** Can't do it. Need to use ra2bRoostatsClass with constructor arg useSigBgVars set to false.\n\n") ;
return false ;
}
//--- Profile likelihood for SB ttbar yield.
ProfileLikelihoodCalculator plc_ttbar_sb( *dsObserved, *likelihood, RooArgSet( *rv_mu_ttbar_sb ) ) ;
plc_ttbar_sb.SetTestSize(0.32) ;
ConfInterval* plinterval_ttbar_sb = plc_ttbar_sb.GetInterval() ;
ttbarSbLow = ((LikelihoodInterval*) plinterval_ttbar_sb)->LowerLimit(*rrv_mu_ttbar_sb) ;
ttbarSbHigh = ((LikelihoodInterval*) plinterval_ttbar_sb)->UpperLimit(*rrv_mu_ttbar_sb) ;
printf("\n\n") ;
printf(" ttbar, SB 68%% CL interval [%5.1f, %5.1f]\n\n", ttbarSbLow, ttbarSbHigh ) ;
TCanvas* plcplot_ttbar_sb = new TCanvas("plcplot_ttbar_sb", "ttbar sb, Profile likelihood", 500, 400 ) ;
LikelihoodIntervalPlot plotInt_ttbar_sb((LikelihoodInterval*)plinterval_ttbar_sb);
plotInt_ttbar_sb.Draw() ;
plcplot_ttbar_sb->SaveAs("plscan_ttbar_sb.pdf") ;
plcplot_ttbar_sb->SaveAs("plscan_ttbar_sb.png") ;
varsAtFitVals = false ;
return true ;
}
//==================================================================================================
bool ra2bRoostatsClass::profileQcdSb( float& qcdSbLow, float& qcdSbHigh ) {
if ( ! initialized ) {
printf("\n\n *** Call initialize first.\n\n") ;
return false ;
}
if ( useSigBgVars ) {
printf("\n\n\n *** Can't do it. Need to use ra2bRoostatsClass with constructor arg useSigBgVars set to false.\n\n") ;
return false ;
}
//--- Profile likelihood for SB qcd yield.
ProfileLikelihoodCalculator plc_qcd_sb( *dsObserved, *likelihood, RooArgSet( *rv_mu_qcd_sb ) ) ;
plc_qcd_sb.SetTestSize(0.32) ;
ConfInterval* plinterval_qcd_sb = plc_qcd_sb.GetInterval() ;
qcdSbLow = ((LikelihoodInterval*) plinterval_qcd_sb)->LowerLimit(*rrv_mu_qcd_sb) ;
qcdSbHigh = ((LikelihoodInterval*) plinterval_qcd_sb)->UpperLimit(*rrv_mu_qcd_sb) ;
printf("\n\n") ;
printf(" qcd, SB 68%% CL interval [%5.1f, %5.1f]\n\n", qcdSbLow, qcdSbHigh ) ;
TCanvas* plcplot_qcd_sb = new TCanvas("plcplot_qcd_sb", "qcd sb, Profile likelihood", 500, 400 ) ;
LikelihoodIntervalPlot plotInt_qcd_sb((LikelihoodInterval*)plinterval_qcd_sb);
plotInt_qcd_sb.Draw() ;
plcplot_qcd_sb->SaveAs("plscan_qcd_sb.pdf") ;
plcplot_qcd_sb->SaveAs("plscan_qcd_sb.png") ;
varsAtFitVals = false ;
return true ;
}
//==================================================================================================
/// float ttbar_sb_val(0.) ;
/// float qcd_sb_val(0.) ;
/// float ttbar_sb_err(0.) ;
/// float qcd_sb_err(0.) ;
/// float ttbar_sig_val(0.) ;
/// float qcd_sig_val(0.) ;
/// float ttbar_sig_err(0.) ;
/// float qcd_sig_err(0.) ;
/// if ( useSigBgVars ) {
/// ttbar_sb_val = ((RooFormulaVar*)rv_mu_ttbar_sb) ->getVal() ;
/// qcd_sb_val = ((RooFormulaVar*)rv_mu_qcd_sb) ->getVal() ;
/// ttbar_sig_val = ((RooRealVar*)rv_mu_ttbar_sig) ->getVal() ;
/// qcd_sig_val = ((RooRealVar*)rv_mu_qcd_sig) ->getVal() ;
/// ttbar_sig_err = ((RooRealVar*)rv_mu_ttbar_sig) ->getError() ;
/// qcd_sig_err = ((RooRealVar*)rv_mu_qcd_sig) ->getError() ;
/// } else {
/// ttbar_sig_val = ((RooFormulaVar*)rv_mu_ttbar_sig) ->getVal() ;
/// qcd_sig_val = ((RooFormulaVar*)rv_mu_qcd_sig) ->getVal() ;
/// ttbar_sb_val = ((RooRealVar*)rv_mu_ttbar_sb) ->getVal() ;
/// qcd_sb_val = ((RooRealVar*)rv_mu_qcd_sb) ->getVal() ;
/// ttbar_sb_err = ((RooRealVar*)rv_mu_ttbar_sb) ->getError() ;
/// qcd_sb_err = ((RooRealVar*)rv_mu_qcd_sb) ->getError() ;
/// }
/// if ( useSigBgVars ) {
/// //--- Profile likelihood for signal ttbar yield.
/// ProfileLikelihoodCalculator plc_ttbar_sig( *dsObserved, *likelihood, RooArgSet( *rv_mu_ttbar_sig ) ) ;
/// plc_ttbar_sig.SetTestSize(0.32) ;
/// ConfInterval* plinterval_ttbar_sig = plc_ttbar_sig.GetInterval() ;
/// float ttbar_sig_p1sig = ((LikelihoodInterval*) plinterval_ttbar_sig)->UpperLimit(*((RooRealVar*)rv_mu_ttbar_sig)) ;
/// float ttbar_sig_m1sig = ((LikelihoodInterval*) plinterval_ttbar_sig)->LowerLimit(*((RooRealVar*)rv_mu_ttbar_sig)) ;
/// printf("\n\n") ;
/// printf(" ttbar, SIG 68%% CL interval [%5.1f, %5.1f]\n\n", ttbar_sig_m1sig, ttbar_sig_p1sig) ;
/// TCanvas* plcplot_ttbar_sig = new TCanvas("plcplot_ttbar_sig", "ttbar sig, Profile likelihood", 500, 400 ) ;
/// LikelihoodIntervalPlot plotInt_ttbar_sig((LikelihoodInterval*)plinterval_ttbar_sig);
/// plotInt_ttbar_sig.Draw() ;
/// plcplot_ttbar_sig->SaveAs("plscan_ttbar_sig.pdf") ;
/// plcplot_ttbar_sig->SaveAs("plscan_ttbar_sig.png") ;
/// //--- Profile likelihood for signal qcd yield.
/// ProfileLikelihoodCalculator plc_qcd_sig( *dsObserved, *likelihood, RooArgSet( *rv_mu_qcd_sig ) ) ;
/// plc_qcd_sig.SetTestSize(0.32) ;
/// ConfInterval* plinterval_qcd_sig = plc_qcd_sig.GetInterval() ;
/// float qcd_sig_p1sig = ((LikelihoodInterval*) plinterval_qcd_sig)->UpperLimit(*((RooRealVar*)rv_mu_qcd_sig)) ;
/// float qcd_sig_m1sig = ((LikelihoodInterval*) plinterval_qcd_sig)->LowerLimit(*((RooRealVar*)rv_mu_qcd_sig)) ;
/// printf("\n\n") ;
/// printf(" qcd, SIG 68%% CL interval [%5.1f, %5.1f]\n\n", qcd_sig_m1sig, qcd_sig_p1sig) ;
/// TCanvas* plcplot_qcd_sig = new TCanvas("plcplot_qcd_sig", "qcd sig, Profile likelihood", 500, 400 ) ;
/// LikelihoodIntervalPlot plotInt_qcd_sig((LikelihoodInterval*)plinterval_qcd_sig);
/// plotInt_qcd_sig.Draw() ;
/// plcplot_qcd_sig->SaveAs("plscan_qcd_sig.pdf") ;
/// plcplot_qcd_sig->SaveAs("plscan_qcd_sig.png") ;
/// } else {
/// //--- Profile likelihood for sideband ttbar yield.
/// ProfileLikelihoodCalculator plc_ttbar_sb( *dsObserved, *likelihood, RooArgSet( *rv_mu_ttbar_sb ) ) ;
/// plc_ttbar_sb.SetTestSize(0.32) ;
/// ConfInterval* plinterval_ttbar_sb = plc_ttbar_sb.GetInterval() ;
/// float ttbar_sb_p1sb = ((LikelihoodInterval*) plinterval_ttbar_sb)->UpperLimit(*((RooRealVar*)rv_mu_ttbar_sb)) ;
/// float ttbar_sb_m1sb = ((LikelihoodInterval*) plinterval_ttbar_sb)->LowerLimit(*((RooRealVar*)rv_mu_ttbar_sb)) ;
/// printf("\n\n") ;
/// printf(" ttbar, SB 68%% CL interval [%5.1f, %5.1f]\n\n", ttbar_sb_m1sb, ttbar_sb_p1sb) ;
/// TCanvas* plcplot_ttbar_sb = new TCanvas("plcplot_ttbar_sb", "ttbar sb, Profile likelihood", 500, 400 ) ;
/// LikelihoodIntervalPlot plotInt_ttbar_sb((LikelihoodInterval*)plinterval_ttbar_sb);
/// plotInt_ttbar_sb.Draw() ;
/// plcplot_ttbar_sb->SaveAs("plscan_ttbar_sb.pdf") ;
/// plcplot_ttbar_sb->SaveAs("plscan_ttbar_sb.png") ;
/// //--- Profile likelihood for sideband qcd yield.
/// ProfileLikelihoodCalculator plc_qcd_sb( *dsObserved, *likelihood, RooArgSet( *rv_mu_qcd_sb ) ) ;
/// plc_qcd_sb.SetTestSize(0.32) ;
/// ConfInterval* plinterval_qcd_sb = plc_qcd_sb.GetInterval() ;
/// float qcd_sb_p1sb = ((LikelihoodInterval*) plinterval_qcd_sb)->UpperLimit(*((RooRealVar*)rv_mu_qcd_sb)) ;
/// float qcd_sb_m1sb = ((LikelihoodInterval*) plinterval_qcd_sb)->LowerLimit(*((RooRealVar*)rv_mu_qcd_sb)) ;
/// printf("\n\n") ;
/// printf(" sb, SB 68%% CL interval [%5.1f, %5.1f]\n\n", qcd_sb_m1sb, qcd_sb_p1sb) ;
/// TCanvas* plcplot_qcd_sb = new TCanvas("plcplot_qcd_sb", "qcd sb, Profile likelihood", 500, 400 ) ;
/// LikelihoodIntervalPlot plotInt_qcd_sb((LikelihoodInterval*)plinterval_qcd_sb);
/// plotInt_qcd_sb.Draw() ;
/// plcplot_qcd_sb->SaveAs("plscan_qcd_sb.pdf") ;
/// plcplot_qcd_sb->SaveAs("plscan_qcd_sb.png") ;
/// }
//====================================================================================================================
bool ra2bRoostatsClass::sbPlotsUniformBins( const char* plotBaseName ) {
if ( ! initialized ) {
printf("\n\n *** Call initialize first.\n\n") ;
return false ;
}
if ( ! varsAtFitVals ) {
printf("\n\n *** Try this right after calling doFit.\n\n") ;
return false ;
}
//-- Drawn with same-width bins.
TH1F* hm3j_sb_data = new TH1F("hm3j_sb_data" ,"3-jet mass, SB data" , 5, 0.5, 5.5 ) ;
TH1F* hm3j_sb_ttbar = new TH1F("hm3j_sb_ttbar","3-jet mass, SB ttbar", 5, 0.5, 5.5 ) ;
TH1F* hm3j_sb_qcd = new TH1F("hm3j_sb_qcd" ,"3-jet mass, SB qcd" , 5, 0.5, 5.5 ) ;
TH1F* hm3j_sb_ew = new TH1F("hm3j_sb_ew" ,"3-jet mass, SB ew" , 5, 0.5, 5.5 ) ;
hm3j_sb_data->SetLineWidth(2) ;
hm3j_sb_data->SetMarkerStyle(20) ;
hm3j_sb_ew->SetFillColor(49) ;
hm3j_sb_qcd->SetFillColor(46) ;
hm3j_sb_ttbar->SetFillColor(42) ;
hm3j_sb_data->SetBinContent( 1, rv_Nsb1->getVal() ) ;
hm3j_sb_data->SetBinContent( 2, rv_Nsb2->getVal() ) ;
hm3j_sb_data->SetBinContent( 3, rv_Nsb3->getVal() ) ;
hm3j_sb_data->SetBinContent( 4, rv_Nsb4->getVal() ) ;
hm3j_sb_data->SetBinContent( 5, rv_Nsb5->getVal() ) ;
hm3j_sb_ttbar->SetBinContent( 1, rv_mu_ttbar_sb1->getVal() ) ;
hm3j_sb_ttbar->SetBinContent( 2, rv_mu_ttbar_sb2->getVal() ) ;
hm3j_sb_ttbar->SetBinContent( 3, rv_mu_ttbar_sb3->getVal() ) ;
hm3j_sb_ttbar->SetBinContent( 4, rv_mu_ttbar_sb4->getVal() ) ;
hm3j_sb_ttbar->SetBinContent( 5, rv_mu_ttbar_sb5->getVal() ) ;
hm3j_sb_qcd->SetBinContent( 1, rv_mu_qcd_sb1->getVal() ) ;
hm3j_sb_qcd->SetBinContent( 2, rv_mu_qcd_sb2->getVal() ) ;
hm3j_sb_qcd->SetBinContent( 3, rv_mu_qcd_sb3->getVal() ) ;
hm3j_sb_qcd->SetBinContent( 4, rv_mu_qcd_sb4->getVal() ) ;
hm3j_sb_qcd->SetBinContent( 5, rv_mu_qcd_sb5->getVal() ) ;
hm3j_sb_ew->SetBinContent( 1, rv_mu_ew_sb1->getVal() ) ;
hm3j_sb_ew->SetBinContent( 2, rv_mu_ew_sb2->getVal() ) ;
hm3j_sb_ew->SetBinContent( 3, rv_mu_ew_sb3->getVal() ) ;
hm3j_sb_ew->SetBinContent( 4, rv_mu_ew_sb4->getVal() ) ;
hm3j_sb_ew->SetBinContent( 5, rv_mu_ew_sb5->getVal() ) ;
THStack* hstack_m3j_sb_fit = new THStack( "hstack_m3j_sb_fit", "SB fit, 3-jet mass" ) ;
hstack_m3j_sb_fit->Add( hm3j_sb_ew ) ;
hstack_m3j_sb_fit->Add( hm3j_sb_qcd ) ;
hstack_m3j_sb_fit->Add( hm3j_sb_ttbar ) ;
TCanvas* can_sbfit = new TCanvas("can_sbfit", "SB 3-jet mass fit", 700, 500 ) ;
hm3j_sb_data->SetMaximum( 1.4*(hm3j_sb_data->GetMaximum()) ) ;
hm3j_sb_data->SetLabelSize(0.06,"x") ;
hm3j_sb_data->GetXaxis()->SetBinLabel(1, "Bin 1") ;
hm3j_sb_data->GetXaxis()->SetBinLabel(2, "Bin 2") ;
hm3j_sb_data->GetXaxis()->SetBinLabel(3, "Bin 3") ;
hm3j_sb_data->GetXaxis()->SetBinLabel(4, "Bin 4") ;
hm3j_sb_data->GetXaxis()->SetBinLabel(5, "Bin 5") ;
hm3j_sb_data->Draw("histpe") ;
hstack_m3j_sb_fit->Draw( "same" ) ;
hm3j_sb_data->Draw("samehistpe") ;
TLegend* m3j_legend = new TLegend(0.62,0.7,0.97,0.95) ;
m3j_legend->SetFillColor( kWhite ) ;
m3j_legend->AddEntry( hm3j_sb_data, "Data" ) ;
m3j_legend->AddEntry( hm3j_sb_ttbar, "ttbar" ) ;
m3j_legend->AddEntry( hm3j_sb_qcd, "QCD" ) ;
m3j_legend->AddEntry( hm3j_sb_ew, "EW" ) ;
m3j_legend->Draw() ;
TText* fittext = new TText() ;
fittext->SetTextSize(0.04) ;
char fitlabel[1000] ;
float ew_sb(0.) ;
ew_sb += rv_mu_ew_sb1->getVal() ;
ew_sb += rv_mu_ew_sb2->getVal() ;
ew_sb += rv_mu_ew_sb3->getVal() ;
ew_sb += rv_mu_ew_sb4->getVal() ;
ew_sb += rv_mu_ew_sb5->getVal() ;
int Nsb = rv_Nsb1->getVal() +rv_Nsb2->getVal() +rv_Nsb3->getVal() +rv_Nsb4->getVal() +rv_Nsb5->getVal() ;
float ttbar_sb_val(0.) ;
float qcd_sb_val(0.) ;
float ttbar_sb_err(0.) ;
float qcd_sb_err(0.) ;
float ttbar_sig_val(0.) ;
float qcd_sig_val(0.) ;
float ttbar_sig_err(0.) ;
float qcd_sig_err(0.) ;
if ( useSigBgVars ) {
ttbar_sb_val = ((RooFormulaVar*)rv_mu_ttbar_sb) ->getVal() ;
qcd_sb_val = ((RooFormulaVar*)rv_mu_qcd_sb) ->getVal() ;
ttbar_sig_val = ((RooRealVar*)rv_mu_ttbar_sig) ->getVal() ;
qcd_sig_val = ((RooRealVar*)rv_mu_qcd_sig) ->getVal() ;
ttbar_sig_err = ((RooRealVar*)rv_mu_ttbar_sig) ->getError() ;
qcd_sig_err = ((RooRealVar*)rv_mu_qcd_sig) ->getError() ;
} else {
ttbar_sig_val = ((RooFormulaVar*)rv_mu_ttbar_sig) ->getVal() ;
qcd_sig_val = ((RooFormulaVar*)rv_mu_qcd_sig) ->getVal() ;
ttbar_sb_val = ((RooRealVar*)rv_mu_ttbar_sb) ->getVal() ;
qcd_sb_val = ((RooRealVar*)rv_mu_qcd_sb) ->getVal() ;
ttbar_sb_err = ((RooRealVar*)rv_mu_ttbar_sb) ->getError() ;
qcd_sb_err = ((RooRealVar*)rv_mu_qcd_sb) ->getError() ;
}
float ltop = 0.90 ;
float lx = 0.78 ;
float dy = 0.06 ;
if ( useSigBgVars ) {
sprintf( fitlabel, "%5d", Nsb ) ;
fittext->DrawTextNDC( lx, ltop, fitlabel ) ;
sprintf( fitlabel, "%4.0f", ttbar_sb_val ) ;
fittext->DrawTextNDC( lx, ltop-dy, fitlabel ) ;
sprintf( fitlabel, "%4.0f", qcd_sb_val ) ;
fittext->DrawTextNDC( lx, ltop-2*dy, fitlabel ) ;
sprintf( fitlabel, "%4.0f", ew_sb ) ;
fittext->DrawTextNDC( lx, ltop-3*dy, fitlabel ) ;
} else {
sprintf( fitlabel, "%5d", Nsb ) ;
fittext->DrawTextNDC( lx, ltop, fitlabel ) ;
sprintf( fitlabel, "%4.0f +/- %4.0f", ttbar_sb_val, ttbar_sb_err ) ;
fittext->DrawTextNDC( lx, ltop-dy, fitlabel ) ;
sprintf( fitlabel, "%4.0f +/- %4.0f", qcd_sb_val, qcd_sb_err ) ;
fittext->DrawTextNDC( lx, ltop-2*dy, fitlabel ) ;
sprintf( fitlabel, "%4.0f", ew_sb ) ;
fittext->DrawTextNDC( lx, ltop-3*dy, fitlabel ) ;
}
char outfile[1000] ;
sprintf( outfile, "%s-sb.png", plotBaseName ) ;
can_sbfit->SaveAs( outfile ) ;
return true ;
} // sbPlotsUniformBins
//==================================================================================================================
bool ra2bRoostatsClass::sbPlotsVariableBins( const char* plotBaseName ) {
if ( ! initialized ) {
printf("\n\n *** Call initialize first.\n\n") ;
return false ;
}
if ( ! varsAtFitVals ) {
printf("\n\n *** Try this right after calling doFit.\n\n") ;
return false ;
}
//-- Drawn with variable-width bins.
int nxbins = 5 ;
float xbinedges[6] = { 0., 160., 180., 260., 400., 800. } ;
float xbinwid[5] ;
for ( int bi=0; bi<nxbins; bi++ ) { xbinwid[bi] = xbinedges[bi+1] - xbinedges[bi] ; }
TH1F* hvbm3j_sb_data = new TH1F("hvbm3j_sb_data" ,"3-jet mass, SB data" , nxbins, xbinedges ) ;
TH1F* hvbm3j_sb_ttbar = new TH1F("hvbm3j_sb_ttbar","3-jet mass, SB ttbar", nxbins, xbinedges ) ;
TH1F* hvbm3j_sb_qcd = new TH1F("hvbm3j_sb_qcd" ,"3-jet mass, SB qcd" , nxbins, xbinedges ) ;
TH1F* hvbm3j_sb_ew = new TH1F("hvbm3j_sb_ew" ,"3-jet mass, SB ew" , nxbins, xbinedges ) ;
hvbm3j_sb_data->SetLineWidth(2) ;
hvbm3j_sb_data->SetMarkerStyle(20) ;
hvbm3j_sb_ew->SetFillColor(49) ;
hvbm3j_sb_qcd->SetFillColor(46) ;
hvbm3j_sb_ttbar->SetFillColor(42) ;
hvbm3j_sb_data->SetBinContent( 1, (rv_Nsb1->getVal()) * (xbinwid[1]/xbinwid[0]) ) ;
hvbm3j_sb_data->SetBinContent( 2, (rv_Nsb2->getVal()) * (xbinwid[1]/xbinwid[1]) ) ;
hvbm3j_sb_data->SetBinContent( 3, (rv_Nsb3->getVal()) * (xbinwid[1]/xbinwid[2]) ) ;
hvbm3j_sb_data->SetBinContent( 4, (rv_Nsb4->getVal()) * (xbinwid[1]/xbinwid[3]) ) ;
hvbm3j_sb_data->SetBinContent( 5, (rv_Nsb5->getVal()) * (xbinwid[1]/xbinwid[4]) ) ;
hvbm3j_sb_data->SetBinError( 1, sqrt(rv_Nsb1->getVal()) * (xbinwid[1]/xbinwid[0]) ) ;
hvbm3j_sb_data->SetBinError( 2, sqrt(rv_Nsb2->getVal()) * (xbinwid[1]/xbinwid[1]) ) ;
hvbm3j_sb_data->SetBinError( 3, sqrt(rv_Nsb3->getVal()) * (xbinwid[1]/xbinwid[2]) ) ;
hvbm3j_sb_data->SetBinError( 4, sqrt(rv_Nsb4->getVal()) * (xbinwid[1]/xbinwid[3]) ) ;
hvbm3j_sb_data->SetBinError( 5, sqrt(rv_Nsb5->getVal()) * (xbinwid[1]/xbinwid[4]) ) ;
hvbm3j_sb_ttbar->SetBinContent( 1, (rv_mu_ttbar_sb1->getVal()) * (xbinwid[1]/xbinwid[0]) ) ;
hvbm3j_sb_ttbar->SetBinContent( 2, (rv_mu_ttbar_sb2->getVal()) * (xbinwid[1]/xbinwid[1]) ) ;
hvbm3j_sb_ttbar->SetBinContent( 3, (rv_mu_ttbar_sb3->getVal()) * (xbinwid[1]/xbinwid[2]) ) ;
hvbm3j_sb_ttbar->SetBinContent( 4, (rv_mu_ttbar_sb4->getVal()) * (xbinwid[1]/xbinwid[3]) ) ;
hvbm3j_sb_ttbar->SetBinContent( 5, (rv_mu_ttbar_sb5->getVal()) * (xbinwid[1]/xbinwid[4]) ) ;
hvbm3j_sb_qcd->SetBinContent( 1, (rv_mu_qcd_sb1->getVal()) * (xbinwid[1]/xbinwid[0]) ) ;
hvbm3j_sb_qcd->SetBinContent( 2, (rv_mu_qcd_sb2->getVal()) * (xbinwid[1]/xbinwid[1]) ) ;
hvbm3j_sb_qcd->SetBinContent( 3, (rv_mu_qcd_sb3->getVal()) * (xbinwid[1]/xbinwid[2]) ) ;
hvbm3j_sb_qcd->SetBinContent( 4, (rv_mu_qcd_sb4->getVal()) * (xbinwid[1]/xbinwid[3]) ) ;
hvbm3j_sb_qcd->SetBinContent( 5, (rv_mu_qcd_sb5->getVal()) * (xbinwid[1]/xbinwid[4]) ) ;
hvbm3j_sb_ew->SetBinContent( 1, (rv_mu_ew_sb1->getVal()) * (xbinwid[1]/xbinwid[0]) ) ;
hvbm3j_sb_ew->SetBinContent( 2, (rv_mu_ew_sb2->getVal()) * (xbinwid[1]/xbinwid[1]) ) ;
hvbm3j_sb_ew->SetBinContent( 3, (rv_mu_ew_sb3->getVal()) * (xbinwid[1]/xbinwid[2]) ) ;
hvbm3j_sb_ew->SetBinContent( 4, (rv_mu_ew_sb4->getVal()) * (xbinwid[1]/xbinwid[3]) ) ;
hvbm3j_sb_ew->SetBinContent( 5, (rv_mu_ew_sb5->getVal()) * (xbinwid[1]/xbinwid[4]) ) ;
THStack* hvbstack_m3j_sb_fit = new THStack( "hvbstack_m3j_sb_fit", "SB fit, 3-jet mass" ) ;
hvbstack_m3j_sb_fit->Add( hvbm3j_sb_ew ) ;
hvbstack_m3j_sb_fit->Add( hvbm3j_sb_qcd ) ;
hvbstack_m3j_sb_fit->Add( hvbm3j_sb_ttbar ) ;
TCanvas* can_vbsbfit = new TCanvas("can_vbsbfit", "SB 3-jet mass fit", 700, 500 ) ;
//hvbm3j_sb_data->SetMaximum( 1.4*(hvbm3j_sb_data->GetMaximum()) ) ;
hvbm3j_sb_data->Draw("histpe") ;
hvbstack_m3j_sb_fit->Draw( "same" ) ;
hvbm3j_sb_data->Draw("samehistpe") ;
TLegend* vbm3j_legend = new TLegend(0.62,0.7,0.97,0.95) ;
vbm3j_legend->SetFillColor( kWhite ) ;
vbm3j_legend->AddEntry( hvbm3j_sb_data, "Data" ) ;
vbm3j_legend->AddEntry( hvbm3j_sb_ttbar, "ttbar" ) ;
vbm3j_legend->AddEntry( hvbm3j_sb_qcd, "QCD" ) ;
vbm3j_legend->AddEntry( hvbm3j_sb_ew, "EW" ) ;
vbm3j_legend->Draw() ;
TText* fittext = new TText() ;
fittext->SetTextSize(0.04) ;
char fitlabel[1000] ;
float ew_sb(0.) ;
ew_sb += rv_mu_ew_sb1->getVal() ;
ew_sb += rv_mu_ew_sb2->getVal() ;
ew_sb += rv_mu_ew_sb3->getVal() ;
ew_sb += rv_mu_ew_sb4->getVal() ;
ew_sb += rv_mu_ew_sb5->getVal() ;
int Nsb = rv_Nsb1->getVal() +rv_Nsb2->getVal() +rv_Nsb3->getVal() +rv_Nsb4->getVal() +rv_Nsb5->getVal() ;
float ltop = 0.90 ;
float lx = 0.78 ;
float dy = 0.06 ;
float ttbar_sb_val(0.) ;
float qcd_sb_val(0.) ;
float ttbar_sb_err(0.) ;
float qcd_sb_err(0.) ;
float ttbar_sig_val(0.) ;
float qcd_sig_val(0.) ;
float ttbar_sig_err(0.) ;
float qcd_sig_err(0.) ;
if ( useSigBgVars ) {
ttbar_sb_val = ((RooFormulaVar*)rv_mu_ttbar_sb) ->getVal() ;
qcd_sb_val = ((RooFormulaVar*)rv_mu_qcd_sb) ->getVal() ;
ttbar_sig_val = ((RooRealVar*)rv_mu_ttbar_sig) ->getVal() ;
qcd_sig_val = ((RooRealVar*)rv_mu_qcd_sig) ->getVal() ;
ttbar_sig_err = ((RooRealVar*)rv_mu_ttbar_sig) ->getError() ;
qcd_sig_err = ((RooRealVar*)rv_mu_qcd_sig) ->getError() ;
} else {
ttbar_sig_val = ((RooFormulaVar*)rv_mu_ttbar_sig) ->getVal() ;
qcd_sig_val = ((RooFormulaVar*)rv_mu_qcd_sig) ->getVal() ;
ttbar_sb_val = ((RooRealVar*)rv_mu_ttbar_sb) ->getVal() ;
qcd_sb_val = ((RooRealVar*)rv_mu_qcd_sb) ->getVal() ;
ttbar_sb_err = ((RooRealVar*)rv_mu_ttbar_sb) ->getError() ;
qcd_sb_err = ((RooRealVar*)rv_mu_qcd_sb) ->getError() ;
}
if ( useSigBgVars ) {
sprintf( fitlabel, "%5d", Nsb ) ;
fittext->DrawTextNDC( lx, ltop, fitlabel ) ;
sprintf( fitlabel, "%4.0f", ttbar_sb_val ) ;
fittext->DrawTextNDC( lx, ltop-dy, fitlabel ) ;
sprintf( fitlabel, "%4.0f", qcd_sb_val ) ;
fittext->DrawTextNDC( lx, ltop-2*dy, fitlabel ) ;
sprintf( fitlabel, "%4.0f", ew_sb ) ;
fittext->DrawTextNDC( lx, ltop-3*dy, fitlabel ) ;
} else {
sprintf( fitlabel, "%5d", Nsb ) ;
fittext->DrawTextNDC( lx, ltop, fitlabel ) ;
sprintf( fitlabel, "%4.0f +/- %4.0f", ttbar_sb_val, ttbar_sb_err ) ;
fittext->DrawTextNDC( lx, ltop-dy, fitlabel ) ;
sprintf( fitlabel, "%4.0f +/- %4.0f", qcd_sb_val, qcd_sb_err ) ;
fittext->DrawTextNDC( lx, ltop-2*dy, fitlabel ) ;
sprintf( fitlabel, "%4.0f", ew_sb ) ;
fittext->DrawTextNDC( lx, ltop-3*dy, fitlabel ) ;
}
char outfile[1000] ;
sprintf( outfile, "%s-sb-vb.png", plotBaseName ) ;
can_vbsbfit->SaveAs( outfile ) ;
return true ;
} // sbPlotsVariableBins
//===================================================================
ra2bRoostatsClass::~ra2bRoostatsClass() {
if ( !initialized ) return ;
delete dsObserved ;
//delete plinterval_susy_sig ;
delete rv_Nsig ;
delete rv_Na ;
delete rv_Nd ;
delete rv_Nsb1 ;
delete rv_Nsb2 ;
delete rv_Nsb3 ;
delete rv_Nsb4 ;
delete rv_Nsb5 ;
delete rv_Nlsb1 ;
delete rv_Nlsb2 ;
delete rv_Nlsb3 ;
delete rv_Nlsb4 ;
delete rv_Nlsb5 ;
delete rv_Nslsig1 ;
delete rv_Nslsig2 ;
delete rv_Nslsig3 ;
delete rv_Nslsig4 ;
delete rv_Nslsig5 ;
delete rv_Nslsb1 ;
delete rv_Nslsb2 ;
delete rv_Nslsb3 ;
delete rv_Nslsb4 ;
delete rv_Nslsb5 ;
delete rv_Nslmsb1 ;
delete rv_Nslmsb2 ;
delete rv_Nslmsb3 ;
delete rv_Nslmsb4 ;
delete rv_Nslmsb5 ;
delete rv_mu_ttbar_sig ;
delete rv_mu_qcd_sig ;
delete rv_mu_ttbar_sb ;
delete rv_mu_qcd_sb ;
delete rv_mu_ew_sig ;
delete rv_mu_susy_sig ;
delete rv_mu_ew_sb1 ;
delete rv_mu_ew_sb2 ;
delete rv_mu_ew_sb3 ;
delete rv_mu_ew_sb4 ;
delete rv_mu_ew_sb5 ;
delete rv_mu_susy_sb1 ;
delete rv_mu_susy_sb2 ;
delete rv_mu_susy_sb3 ;
delete rv_mu_susy_sb4 ;
delete rv_mu_susy_sb5 ;
delete rv_mu_ttbar_a ;
delete rv_mu_qcd_a ;
delete rv_mu_ew_a ;
delete rv_mu_susy_a ;
delete rv_mu_ttbar_d ;
delete rv_mu_qcd_d ;
delete rv_mu_ew_d ;
delete rv_mu_susy_d ;
delete rv_mu_qcd_lsb1 ;
delete rv_mu_qcd_lsb2 ;
delete rv_mu_qcd_lsb3 ;
delete rv_mu_qcd_lsb4 ;
delete rv_mu_qcd_lsb5 ;
delete rv_mu_qcdmc_sig ;
delete rv_mu_qcdmc_sb ;
delete rv_mu_qcdmc_a ;
delete rv_mu_qcdmc_d ;
delete rv_mu_sl_ttbar_sig1 ;
delete rv_mu_sl_ttbar_sig2 ;
delete rv_mu_sl_ttbar_sig3 ;
delete rv_mu_sl_ttbar_sig4 ;
delete rv_mu_sl_ttbar_sig5 ;
delete rv_mu_sl_ttbar_sb1 ;
delete rv_mu_sl_ttbar_sb2 ;
delete rv_mu_sl_ttbar_sb3 ;
delete rv_mu_sl_ttbar_sb4 ;
delete rv_mu_sl_ttbar_sb5 ;