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ra2bRoostatsClass3.c
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//
// Owen Long, UCR
// Harrison Prosper, FSU
// Sezen Sekmen, FSU
//
//
#include "ra2bRoostatsClass3.h"
#include <iostream>
#include <string.h>
#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 "TRandom2.h"
#include "TH2F.h"
#include "TGaxis.h"
#include "TLine.h"
#include "TStringLong.h"
#include "RooArgSet.h"
#include "RooConstVar.h"
#include "RooStats/ProfileLikelihoodCalculator.h"
#include "RooStats/LikelihoodInterval.h"
#include "RooStats/LikelihoodIntervalPlot.h"
#include "RooStats/HypoTestResult.h"
#include "LikelihoodIntervalPlot.cxx"
using namespace RooFit ;
using namespace RooStats ;
//=====================================================================================================
ra2bRoostatsClass3::ra2bRoostatsClass3( bool ArgUseSigTtwjVar, bool ArgUseLdpVars, int ArgznnModel ) {
gStyle->SetOptStat(0) ;
useSigTtwjVar = ArgUseSigTtwjVar ;
useLdpVars = ArgUseLdpVars ;
znnModel = ArgznnModel ;
if ( znnModel > 2 ) {
printf("\n\n\n *** Unrecognized znn model number %d. Should be 1 or 2.\n\n\n", znnModel ) ;
}
//--- Tell RooFit to shut up about anything less important than an ERROR.
RooMsgService::instance().setGlobalKillBelow(RooFit::ERROR) ;
/// RooMsgService::instance().addStream(DEBUG,Topic(Tracing),OutputFile("debug.log")) ;
printf("\n\n ==== RooFit output configuration ===============\n") ;
RooMsgService::instance().Print("v") ;
printf("\n\n ================================================\n") ;
varsAtFitVals = false ;
initialized = false ;
//--- CLs stuff below here
tt_bgonly = 0x0 ;
tt_splusb = 0x0 ;
toymean_n_sig = 0. ;
toymean_n_sb = 0. ;
toymean_n_sig_ldp = 0. ;
toymean_n_sb_ldp = 0. ;
toymean_n_sig_sl = 0. ;
toymean_n_sb_sl = 0. ;
toymean_n_lsb_0b = 0. ;
toymean_n_lsb_0b_ldp = 0. ;
//-- Znn model 1
toymean_n_sig_ee = 0. ;
toymean_n_sb_ee = 0. ;
toymean_n_sig_mm = 0. ;
toymean_n_sb_mm = 0. ;
//-- Znn model 2
toymean_n_sigsb_ee = 0. ;
toymean_n_sigsb_mm = 0. ;
trandom_cls = new TRandom2(12345) ;
}
////==================================================================================================
// bool ra2bRoostatsClass3::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 ( useSigTtwjVar ) {
// 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 ra2bRoostatsClass3::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 ( useSigTtwjVar ) {
// 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 ra2bRoostatsClass3::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), Verbose(true) );
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") ;
if ( znnModel == 2 ) {
printf("\n Znn SB value : %6.2f\n\n", rfv_mu_znn_sb->getVal() ) ;
}
varsAtFitVals = true ;
return true ;
} // doFit .
//==================================================================================================
bool ra2bRoostatsClass3::profileSusySig( float& susySigLow, float& susySigHigh, bool makePlot, const char* plotname, double scanMax ) {
if ( ! initialized ) {
printf("\n\n *** Call initialize first.\n\n") ;
return false ;
}
//--- Profile likelihood for signal susy yield.
if ( scanMax > 0 ) { rv_mu_susy_sig->setMax(scanMax) ; }
printf("\n\n Creating ProfileLikelihoodCalculator for susy sig.\n\n") ;
//---------------
ProfileLikelihoodCalculator plc_susy_sig( *dsObserved, *likelihood, RooArgSet( *rv_mu_susy_sig ) ) ;
///// //---------------
///// RooArgSet* rasNull = new RooArgSet() ;
///// rasNull->add( *rv_mu_susy_sig ) ;
///// ProfileLikelihoodCalculator plc_susy_sig( *dsObserved, *likelihood, RooArgSet( *rv_mu_susy_sig ),
///// 0.05, rasNull ) ;
///// //---------------
///// HypoTestResult* htr_susy_sig = plc_susy_sig.GetHypoTest() ;
///// if ( htr_susy_sig != 0x0 ) {
///// htr_susy_sig->Print() ;
///// } else {
///// printf("\n\n *** GetHypoTest returned null pointer.\n\n") ;
///// }
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() ;
gPad->SetGridy(1) ;
plcplot_susy_sig->SaveAs( plotname ) ;
}
varsAtFitVals = false ;
delete plinterval_susy_sig ; // can I safely do this???
return true ;
}
//==================================================================================================
bool ra2bRoostatsClass3::profileZnnSig( float& znnSigLow, float& znnSigHigh, bool makePlot, const char* plotname, double scanMax ) {
if ( ! initialized ) {
printf("\n\n *** Call initialize first.\n\n") ;
return false ;
}
//--- Profile likelihood for signal Z to nunu yield.
double bestVal = rv_mu_znn_sig->getVal() ;
if ( scanMax > 0 ) { rv_mu_znn_sig->setMax(scanMax) ; }
ProfileLikelihoodCalculator plc_znn_sig( *dsObserved, *likelihood, RooArgSet( *rv_mu_znn_sig ) ) ;
plc_znn_sig.SetTestSize(0.3173) ;
ConfInterval* plinterval_znn_sig = plc_znn_sig.GetInterval() ;
znnSigLow = ((LikelihoodInterval*) plinterval_znn_sig)->LowerLimit(*rv_mu_znn_sig) ;
znnSigHigh = ((LikelihoodInterval*) plinterval_znn_sig)->UpperLimit(*rv_mu_znn_sig) ;
printf("\n\n") ;
printf(" znn, SIG 68.3%% CL interval [%5.1f, %5.1f]\n\n", znnSigLow, znnSigHigh ) ;
printf(" znn SIG = %5.1f +%5.1f -%5.1f\n\n", bestVal, znnSigHigh-bestVal, bestVal-znnSigLow ) ;
if ( makePlot ) {
TCanvas* plcplot_znn_sig = new TCanvas("plcplot_znn_sig", "znn sig, Profile likelihood", 500, 400 ) ;
LikelihoodIntervalPlot plotInt_znn_sig((LikelihoodInterval*)plinterval_znn_sig);
plotInt_znn_sig.Draw() ;
gPad->SetGridy(1) ;
plcplot_znn_sig->SaveAs( plotname ) ;
}
varsAtFitVals = false ;
delete plinterval_znn_sig ; // can I safely do this???
return true ;
}
//==================================================================================================
bool ra2bRoostatsClass3::profileqcdSig( float& qcdSigLow, float& qcdSigHigh, bool makePlot, const char* plotname, double scanMax ) {
if ( ! initialized ) {
printf("\n\n *** Call initialize first.\n\n") ;
return false ;
}
if ( useLdpVars ) {
printf("\n\n *** Try again with useLdpVars set to false in the constructor.\n\n") ;
return false ;
}
double bestVal = rrv_mu_qcd_sig->getVal() ;
//--- Profile likelihood for signal qcd yield.
if ( scanMax > 0 ) { rrv_mu_qcd_sig->setMax(scanMax) ; }
ProfileLikelihoodCalculator plc_qcd_sig( *dsObserved, *likelihood, RooArgSet( *rrv_mu_qcd_sig ) ) ;
plc_qcd_sig.SetTestSize(0.3173) ;
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 68.3%% CL interval [%5.1f, %5.1f]\n\n", qcdSigLow, qcdSigHigh ) ;
printf(" qcd SIG = %5.1f +%5.1f -%5.1f\n\n", bestVal, qcdSigHigh-bestVal, bestVal-qcdSigLow ) ;
if ( makePlot ) {
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() ;
gPad->SetGridy(1) ;
plcplot_qcd_sig->SaveAs( plotname ) ;
}
varsAtFitVals = false ;
delete plinterval_qcd_sig ; // can I safely do this???
return true ;
}
//==================================================================================================
bool ra2bRoostatsClass3::profileqcdSb( float& qcdSbLow, float& qcdSbHigh, bool makePlot, const char* plotname, double scanMax ) {
if ( ! initialized ) {
printf("\n\n *** Call initialize first.\n\n") ;
return false ;
}
if ( useLdpVars ) {
printf("\n\n *** Try again with useLdpVars set to false in the constructor.\n\n") ;
return false ;
}
double bestVal = rrv_mu_qcd_sb->getVal() ;
//--- Profile likelihood for SB QCD yield.
if ( scanMax > 0 ) { rrv_mu_qcd_sb->setMax(scanMax) ; }
ProfileLikelihoodCalculator plc_qcd_sb( *dsObserved, *likelihood, RooArgSet( *rrv_mu_qcd_sb ) ) ;
plc_qcd_sb.SetTestSize(0.3173) ;
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 68.3%% CL interval [%5.1f, %5.1f]\n\n", qcdSbLow, qcdSbHigh ) ;
printf(" qcd SB = %5.1f +%5.1f -%5.1f\n\n", bestVal, qcdSbHigh-bestVal, bestVal-qcdSbLow ) ;
if ( makePlot ) {
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() ;
gPad->SetGridy(1) ;
plcplot_qcd_sb->SaveAs( plotname ) ;
}
varsAtFitVals = false ;
delete plinterval_qcd_sb ; // can I safely do this???
return true ;
}
//==================================================================================================
bool ra2bRoostatsClass3::profilettwjSig( float& ttwjSigLow, float& ttwjSigHigh, bool makePlot, const char* plotname, double scanMax ) {
if ( ! initialized ) {
printf("\n\n *** Call initialize first.\n\n") ;
return false ;
}
if ( !useSigTtwjVar ) {
printf("\n\n *** Try again with useSigTtwjVar set to true in the constructor.\n\n") ;
return false ;
}
double bestVal = rrv_mu_ttwj_sig->getVal() ;
//--- Profile likelihood for signal ttwj yield.
if ( scanMax > 0 ) { rrv_mu_ttwj_sig->setMax(scanMax) ; }
ProfileLikelihoodCalculator plc_ttwj_sig( *dsObserved, *likelihood, RooArgSet( *rrv_mu_ttwj_sig ) ) ;
plc_ttwj_sig.SetTestSize(0.3173) ;
ConfInterval* plinterval_ttwj_sig = plc_ttwj_sig.GetInterval() ;
ttwjSigLow = ((LikelihoodInterval*) plinterval_ttwj_sig)->LowerLimit(*rrv_mu_ttwj_sig) ;
ttwjSigHigh = ((LikelihoodInterval*) plinterval_ttwj_sig)->UpperLimit(*rrv_mu_ttwj_sig) ;
printf("\n\n") ;
printf(" ttwj, SIG 68.3%% CL interval [%5.1f, %5.1f]\n\n", ttwjSigLow, ttwjSigHigh ) ;
printf(" ttwj SIG = %5.1f +%5.1f -%5.1f\n\n", bestVal, ttwjSigHigh-bestVal, bestVal-ttwjSigLow ) ;
if ( makePlot ) {
TCanvas* plcplot_ttwj_sig = new TCanvas("plcplot_ttwj_sig", "ttwj sig, Profile likelihood", 500, 400 ) ;
LikelihoodIntervalPlot plotInt_ttwj_sig((LikelihoodInterval*)plinterval_ttwj_sig);
plotInt_ttwj_sig.Draw() ;
gPad->SetGridy(1) ;
plcplot_ttwj_sig->SaveAs( plotname) ;
}
varsAtFitVals = false ;
delete plinterval_ttwj_sig ; // can I safely do this???
return true ;
}
//==================================================================================================
bool ra2bRoostatsClass3::profilettwjSb( float& ttwjSbLow, float& ttwjSbHigh, bool makePlot, const char* plotname, double scanMax ) {
if ( ! initialized ) {
printf("\n\n *** Call initialize first.\n\n") ;
return false ;
}
if ( useSigTtwjVar ) {
printf("\n\n *** Try again with useSigTtwjVar set to false in the constructor.\n\n") ;
return false ;
}
double bestVal = rrv_mu_ttwj_sb->getVal() ;
//--- Profile likelihood for ttwj SB yield.
if ( scanMax > 0 ) { rrv_mu_ttwj_sb->setMax(scanMax) ; }
ProfileLikelihoodCalculator plc_ttwj_sb( *dsObserved, *likelihood, RooArgSet( *rrv_mu_ttwj_sb ) ) ;
plc_ttwj_sb.SetTestSize(0.3173) ;
ConfInterval* plinterval_ttwj_sb = plc_ttwj_sb.GetInterval() ;
ttwjSbLow = ((LikelihoodInterval*) plinterval_ttwj_sb)->LowerLimit(*rrv_mu_ttwj_sb) ;
ttwjSbHigh = ((LikelihoodInterval*) plinterval_ttwj_sb)->UpperLimit(*rrv_mu_ttwj_sb) ;
printf("\n\n") ;
printf(" ttwj, sb 68.3%% CL interval [%5.1f, %5.1f]\n\n", ttwjSbLow, ttwjSbHigh ) ;
printf(" ttwj SB = %5.1f +%5.1f -%5.1f\n\n", bestVal, ttwjSbHigh-bestVal, bestVal-ttwjSbLow ) ;
if ( makePlot ) {
TCanvas* plcplot_ttwj_sb = new TCanvas("plcplot_ttwj_sb", "ttwj sb, Profile likelihood", 500, 400 ) ;
LikelihoodIntervalPlot plotInt_ttwj_sb((LikelihoodInterval*)plinterval_ttwj_sb);
plotInt_ttwj_sb.Draw() ;
gPad->SetGridy(1) ;
plcplot_ttwj_sb->SaveAs( plotname ) ;
}
varsAtFitVals = false ;
delete plinterval_ttwj_sb ; // can I safely do this???
return true ;
}
//==================================================================================================
bool ra2bRoostatsClass3::profileZnnSb( float& znnSbLow, float& znnSbHigh, bool makePlot, const char* plotname, double scanMax ) {
if ( ! initialized ) {
printf("\n\n *** Call initialize first.\n\n") ;
return false ;
}
if ( znnModel != 1 ) {
printf("\n\n *** can't do this in Znn model 2.\n\n") ;
return false ;
}
double bestVal = rrv_mu_znn_sb->getVal() ;
//--- Profile likelihood for Z to nunu SB yield.
if ( scanMax > 0 ) { rrv_mu_znn_sb->setMax(scanMax) ; }
ProfileLikelihoodCalculator plc_znn_sb( *dsObserved, *likelihood, RooArgSet( *rrv_mu_znn_sb ) ) ;
plc_znn_sb.SetTestSize(0.3173) ;
ConfInterval* plinterval_znn_sb = plc_znn_sb.GetInterval() ;
znnSbLow = ((LikelihoodInterval*) plinterval_znn_sb)->LowerLimit(*rrv_mu_znn_sb) ;
znnSbHigh = ((LikelihoodInterval*) plinterval_znn_sb)->UpperLimit(*rrv_mu_znn_sb) ;
printf("\n\n") ;
printf(" znn, SB 68.3%% CL interval [%5.1f, %5.1f]\n\n", znnSbLow, znnSbHigh ) ;
printf(" znn SB = %5.1f +%5.1f -%5.1f\n\n", bestVal, znnSbHigh-bestVal, bestVal-znnSbLow ) ;
if ( makePlot ) {
TCanvas* plcplot_znn_sb = new TCanvas("plcplot_znn_sb", "znn sb, Profile likelihood", 500, 400 ) ;
LikelihoodIntervalPlot plotInt_znn_sb((LikelihoodInterval*)plinterval_znn_sb);
plotInt_znn_sb.Draw() ;
gPad->SetGridy(1) ;
plcplot_znn_sb->SaveAs( plotname ) ;
}
varsAtFitVals = false ;
delete plinterval_znn_sb ; // can I safely do this???
return true ;
}
//===================================================================
ra2bRoostatsClass3::~ra2bRoostatsClass3() {
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 ;
// delete rv_mu_sl_ttbar_msb1 ;
// delete rv_mu_sl_ttbar_msb2 ;
// delete rv_mu_sl_ttbar_msb3 ;
// delete rv_mu_sl_ttbar_msb4 ;
// delete rv_mu_sl_ttbar_msb5 ;
// delete rv_mu_sl_ew_sig1 ;
// delete rv_mu_sl_ew_sig2 ;
// delete rv_mu_sl_ew_sig3 ;
// delete rv_mu_sl_ew_sig4 ;
// delete rv_mu_sl_ew_sig5 ;
// delete rv_mu_sl_ew_sb1 ;
// delete rv_mu_sl_ew_sb2 ;
// delete rv_mu_sl_ew_sb3 ;
// delete rv_mu_sl_ew_sb4 ;
// delete rv_mu_sl_ew_sb5 ;
// delete rv_mu_sl_ew_msb1 ;
// delete rv_mu_sl_ew_msb2 ;
// delete rv_mu_sl_ew_msb3 ;
// delete rv_mu_sl_ew_msb4 ;
// delete rv_mu_sl_ew_msb5 ;
// delete rv_mu_sl_susy_sig1 ;
// delete rv_mu_sl_susy_sig2 ;
// delete rv_mu_sl_susy_sig3;
// delete rv_mu_sl_susy_sig4 ;
// delete rv_mu_sl_susy_sig5 ;
// delete rv_mu_sl_susy_sb1 ;
// delete rv_mu_sl_susy_sb2 ;
// delete rv_mu_sl_susy_sb3 ;
// delete rv_mu_sl_susy_sb4 ;
// delete rv_mu_sl_susy_sb5 ;
// delete rv_mu_sl_susy_msb1 ;
// delete rv_mu_sl_susy_msb2 ;
// delete rv_mu_sl_susy_msb3 ;
// delete rv_mu_sl_susy_msb4 ;
// delete rv_mu_sl_susy_msb5 ;
// delete rv_mu_sl_ttbar_sb ;
// delete rv_mu_sl_ttbar_sig ;
// delete rv_mu_qcd_lsb ;
// delete rv_f_qcd_lsb1 ;
// delete rv_f_qcd_lsb2 ;
// delete rv_f_qcd_lsb3 ;
// delete rv_f_qcd_lsb4 ;
// delete rv_f_qcd_lsb5 ;
// delete rv_mu_qcd_sb1 ;
// delete rv_mu_qcd_sb2 ;
// delete rv_mu_qcd_sb3 ;
// delete rv_mu_qcd_sb4 ;
// delete rv_mu_qcd_sb5 ;
// delete rv_mu_sl_ttbar1 ;
// delete rv_mu_sl_ttbar2 ;
// delete rv_mu_sl_ttbar3 ;
// delete rv_mu_sl_ttbar4 ;
// delete rv_mu_sl_ttbar5 ;
// delete rv_mu_sl_ttbar ;
// delete rv_f_sl_ttbar1 ;
// delete rv_f_sl_ttbar2 ;
// delete rv_f_sl_ttbar3 ;
// delete rv_f_sl_ttbar4 ;
// delete rv_f_sl_ttbar5 ;
// delete rv_mu_ttbar_sb1 ;
// delete rv_mu_ttbar_sb2 ;
// delete rv_mu_ttbar_sb3 ;
// delete rv_mu_ttbar_sb4 ;
// delete rv_mu_ttbar_sb5 ;
// delete rv_n_sig ;
// delete rv_n_sb1 ;
// delete rv_n_sb2 ;
// delete rv_n_sb3 ;
// delete rv_n_sb4 ;
// delete rv_n_sb5 ;
// delete rv_n_a ;
// delete rv_n_d ;
// delete rv_n_lsb1 ;
// delete rv_n_lsb2 ;
// delete rv_n_lsb3 ;
// delete rv_n_lsb4 ;
// delete rv_n_lsb5 ;
// delete rv_n_sl_sig1 ;
// delete rv_n_sl_sig2 ;
// delete rv_n_sl_sig3 ;
// delete rv_n_sl_sig4 ;
// delete rv_n_sl_sig5 ;
// delete rv_n_sl_sb1 ;
// delete rv_n_sl_sb2 ;
// delete rv_n_sl_sb3 ;
// delete rv_n_sl_sb4 ;
// delete rv_n_sl_sb5 ;
// delete rv_n_sl_msb1 ;
// delete rv_n_sl_msb2 ;
// delete rv_n_sl_msb3 ;
// delete rv_n_sl_msb4 ;
// delete rv_n_sl_msb5 ;
// delete pdf_Nsig ;
// delete pdf_Na ;
// delete pdf_Nd ;
// delete pdf_Nsb1 ;
// delete pdf_Nsb2 ;
// delete pdf_Nsb3 ;
// delete pdf_Nsb4 ;
// delete pdf_Nsb5 ;
// delete pdf_Nlsb1 ;
// delete pdf_Nlsb2 ;
// delete pdf_Nlsb3 ;
// delete pdf_Nlsb4 ;
// delete pdf_Nlsb5 ;
// delete pdf_Nsl_sig1 ;
// delete pdf_Nsl_sig2 ;
// delete pdf_Nsl_sig3 ;
// delete pdf_Nsl_sig4 ;
// delete pdf_Nsl_sig5 ;
// delete pdf_Nsl_sb1 ;
// delete pdf_Nsl_sb2 ;
// delete pdf_Nsl_sb3 ;
// delete pdf_Nsl_sb4 ;
// delete pdf_Nsl_sb5 ;
// delete pdf_Nsl_msb1 ;
// delete pdf_Nsl_msb2 ;
// delete pdf_Nsl_msb3 ;
// delete pdf_Nsl_msb4 ;
// delete pdf_Nsl_msb5 ;
// delete pdf_Nqcdmc_sig ;
// delete pdf_Nqcdmc_sb ;
// delete pdf_Nqcdmc_a ;
// delete pdf_Nqcdmc_d ;
// delete likelihood ;
// delete workspace ;
}
//===================================================================
bool ra2bRoostatsClass3::initialize( const char* infile ) {
printf( "\n\n Opening input file : %s\n\n", infile ) ;
FILE* infp ;
if ( (infp=fopen( infile,"r"))==NULL ) {
printf("\n\n *** Problem opening input file: %s.\n\n", infile ) ;
return false ;
}
sprintf( initializeFile, "%s", infile ) ;
int Nsig ;
int Nsb ;
int Nsig_sl ;
int Nsb_sl ;
int Nsig_ldp ;
int Nsb_ldp ;
int Nlsb ;
int Nlsb_ldp ;
int Nlsb_0b ;
int Nlsb_0b_ldp ;
float Nqcdmc_sig ;
float Nqcdmc_sig_err ;
float Nqcdmc_sb ;
float Nqcdmc_sb_err ;
float Nqcdmc_sig_sl ;
float Nqcdmc_sig_sl_err ;
float Nqcdmc_sb_sl ;
float Nqcdmc_sb_sl_err ;
float Nqcdmc_sig_ldp ;
float Nqcdmc_sig_ldp_err ;
float Nqcdmc_sb_ldp ;
float Nqcdmc_sb_ldp_err ;
float Nqcdmc_lsb ;
float Nqcdmc_lsb_err ;
float Nqcdmc_lsb_ldp ;
float Nqcdmc_lsb_ldp_err ;
float Nqcdmc_lsb_0b ;
float Nqcdmc_lsb_0b_err ;
float Nqcdmc_lsb_0b_ldp ;
float Nqcdmc_lsb_0b_ldp_err ;
float Nttbarmc_sig ;
float Nttbarmc_sb ;
float Nttbarmc_sig_sl ;
float Nttbarmc_sb_sl ;
float Nttbarmc_sig_ldp ;
float Nttbarmc_sb_ldp ;
float Nttbarmc_lsb ;
float Nttbarmc_lsb_ldp ;
float NWJmc_sig ;
float NWJmc_sb ;
float NWJmc_sig_sl ;
float NWJmc_sb_sl ;
float NWJmc_sig_ldp ;
float NWJmc_sb_ldp ;
float NWJmc_lsb ;
float NWJmc_lsb_ldp ;
float NZnnmc_sig ;
float NZnnmc_sb ;
float NZnnmc_sig_sl ;
float NZnnmc_sb_sl ;
float NZnnmc_sig_ldp ;
float NZnnmc_sb_ldp ;
float NZnnmc_lsb ;
float NZnnmc_lsb_ldp ;
float NEwomc_sig ;
float NEwomc_sb ;
float NEwomc_sig_sl ;
float NEwomc_sb_sl ;
float NEwomc_sig_ldp ;
float NEwomc_sb_ldp ;
float NEwomc_lsb ;
float NEwomc_lsb_ldp ;
float Nsusymc_sig ;
float Nsusymc_sb ;
float Nsusymc_sig_sl ;
float Nsusymc_sb_sl ;
float Nsusymc_sig_ldp ;
float Nsusymc_sb_ldp ;
float Nsusymc_lsb ;
float Nsusymc_lsb_ldp ;
float Nsusymc_lsb_0b ;
float Nsusymc_lsb_0b_ldp ;
int Nhtonlytrig_lsb_0b ;
int Nhtonlytrig_lsb_0b_ldp ;
int Nsb_ee ;
int Nsig_ee ;
int Nsb_mm ;
int Nsig_mm ;
float sf_mc ;
float sf_mc_err ;
float sf_qcd_sb ;
float sf_qcd_sb_err ;
float sf_qcd_sig ;
float sf_qcd_sig_err ;
float sf_ttwj_sig ;
float sf_ttwj_sig_err ;
float sf_ee ;
float sf_ee_err ;
float sf_mm ;
float sf_mm_err ;