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BgEstimation.cc
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BgEstimation.cc
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#include "BgEstimation.h"
BgEstimation::BgEstimation() {
fitInput = new MassAnaInput();
objInfo = new ObjectInfo();
fitInput->GetParameters( "Path", &hfolder );
fitInput->GetParameters( "PlotType", &plotType );
string phaseSmear ;
fitInput->GetParameters( "PhaseSmear", &phaseSmear );
smearing = ( phaseSmear == "ON" ) ? true : false ;
}
BgEstimation::~BgEstimation(){
delete fitInput ;
delete objInfo ;
}
// use 1 inclusive file
// index : 0->all , 1->nonQCD , 2->QCD => using EvtSelector, MC truth selection
// index : 3->nonQCD , 4->QCD => using QCDSelector, control region selection
vector<double> BgEstimation::RatioXY( int njx, int njy, vector<string>& fNames, int index, bool doPlot, bool inclX, bool inclY, bool normMC ){
ostringstream nameStr ;
nameStr << "R" ;
nameStr << index ;
nameStr << "_" ;
nameStr << "J" ;
nameStr << njx ;
nameStr << "J" ;
nameStr << njy ;
if ( fNames[0].substr(0,4) == "data" ) nameStr << "_data" ;
cout<<" === Measuring Ratio "<< njx <<"/"<<njy<<" === "<< nameStr.str() <<endl;
if ( index == 3 || index == 1 ) cout<<" **** non-QCD Region **** "<<endl;
if ( index == 4 || index == 2 ) cout<<" **** QCD Region **** "<<endl;
if ( index == 3 ) objInfo->ResetBGCuts(0, 50 );
if ( index == 3 ) objInfo->ResetBGCuts(1, 30 );
if ( index == 4 ) objInfo->ResetBGCuts(0, 35 );
if ( index == 4 ) objInfo->ResetBGCuts(1, 20 );
if ( normMC ) objInfo->Reset(1,true) ; // Data-MC normalization
int scaleMode = ( normMC ) ? 2 : 0 ; // normalize QCD and Vjets
double theScale = 1 ;
objInfo->Reset(0, inclX );
objInfo->Reset(0, njx) ;
hLepM2* nc_xj = new hLepM2( nameStr.str().substr(3,2) ) ;
vector<double> n_tmp4 ;
double n4Jtmp[2] = {0,0} ;
for ( size_t i = 0; i < fNames.size(); i++) {
if ( index == 1 && i == 6 ) continue ;
if ( index == 2 && i != 6 ) continue ;
if ( fNames[i].substr(0,2) == "tt" ) theScale = fitInput->NormalizeComponents( "tt" ) ;
if ( fNames[i].substr(0,2) == "wj" ) theScale = fitInput->NormalizeComponents( "wj" ) ;
if ( fNames[i].substr(0,2) == "zj" ) theScale = fitInput->NormalizeComponents( "zj" ) ;
if ( fNames[i].substr(0,2) == "tq" ) theScale = fitInput->NormalizeComponents( "tq" ) ;
if ( fNames[i].substr(0,2) == "tw" ) theScale = fitInput->NormalizeComponents( "tw" ) ;
if ( fNames[i].substr(0,2) == "ww" ) theScale = fitInput->NormalizeComponents( "ww" ) ;
if ( fNames[i].substr(0,2) == "qc" ) theScale = fitInput->NormalizeComponents( "qcd" ) ;
if ( index <= 2 && njx > 2 && i != 0 ) objInfo->EvtSelector( fNames[i], nc_xj, smearing, theScale );
if ( index <= 2 && njx <= 2 ) objInfo->EvtSelector( fNames[i], nc_xj, smearing, theScale );
if ( index == 3 ) objInfo->QCDSelector( fNames[i], nc_xj, smearing, theScale, false, scaleMode );
if ( index == 4 ) objInfo->QCDSelector( fNames[i], nc_xj, smearing, theScale, true, scaleMode );
n4Jtmp[0] = n4Jtmp[1] ;
nc_xj->CounterVec( n_tmp4 );
n4Jtmp[1] = n_tmp4[0] ;
cout<<njx<<" jets "<<fNames[i].substr(0,2) <<" = "<< n4Jtmp[1] - n4Jtmp[0] <<" -> "<< n_tmp4[0]<< endl;
n_tmp4.clear();
}
vector<double> nData_xj ;
nc_xj->CounterVec( nData_xj );
if ( doPlot ) {
TString chtag = nameStr.str().substr(0,5) ;
vector<TH1D*> hs_xj ;
nc_xj->Fill1DVec( hs_xj );
LepM2Plotter( hs_xj, chtag );
}
objInfo->Reset(0, inclY );
objInfo->Reset(0, njy) ;
hLepM2* nc_yj = new hLepM2( nameStr.str().substr(5,2) ) ;
vector<double> n_tmp ;
double n2Jtmp[2] = {0,0} ;
for ( size_t i = 0; i < fNames.size(); i++) {
if ( index == 1 && i == 6 ) continue ;
if ( index == 2 && i != 6 ) continue ;
if ( fNames[i].substr(0,2) == "tt" ) theScale = fitInput->NormalizeComponents( "tt" ) ;
if ( fNames[i].substr(0,2) == "wj" ) theScale = fitInput->NormalizeComponents( "wj" ) ;
if ( fNames[i].substr(0,2) == "zj" ) theScale = fitInput->NormalizeComponents( "zj" ) ;
if ( fNames[i].substr(0,2) == "tq" ) theScale = fitInput->NormalizeComponents( "tq" ) ;
if ( fNames[i].substr(0,2) == "tw" ) theScale = fitInput->NormalizeComponents( "tw" ) ;
if ( fNames[i].substr(0,2) == "ww" ) theScale = fitInput->NormalizeComponents( "ww" ) ;
if ( fNames[i].substr(0,2) == "qc" ) theScale = fitInput->NormalizeComponents( "qcd" ) ;
if ( index <= 2 ) objInfo->EvtSelector( fNames[i], nc_yj, smearing, theScale );
if ( index == 3 ) objInfo->QCDSelector( fNames[i], nc_yj, smearing, theScale, false, scaleMode );
if ( index == 4 ) objInfo->QCDSelector( fNames[i], nc_yj, smearing, theScale, true, scaleMode );
n2Jtmp[0] = n2Jtmp[1] ;
nc_yj->CounterVec( n_tmp );
n2Jtmp[1] = n_tmp[0] ;
cout<<njy<<" jets "<<fNames[i].substr(0,2) <<" = "<< n2Jtmp[1] - n2Jtmp[0] <<" -> "<< n_tmp[0]<< endl;
n_tmp.clear();
}
vector<double> nData_yj ;
nc_yj->CounterVec( nData_yj );
if ( doPlot ) {
TString chtag = nameStr.str().substr(0,3) + nameStr.str().substr(5,2);
vector<TH1D*> hs_yj ;
nc_yj->Fill1DVec( hs_yj );
LepM2Plotter( hs_yj, chtag );
}
if ( doPlot ) {
TString chtag = nameStr.str() ;
RatioPlotter( nData_xj, nData_yj, chtag );
}
vector<double> Rxy ;
for ( int i=0; i< 5; i++) {
Rxy.push_back( nData_xj[i]/nData_yj[i] );
}
for ( int i=0; i< 5; i++) {
double RxyErr = MassFitFunction::ErrAovB( nData_xj[i], nData_yj[i], nData_xj[i+5], nData_yj[i+5] );
Rxy.push_back( RxyErr );
cout<<" Ratio"<<i<<": "<< nData_xj[i] <<" / "<<nData_yj[i]<<" = "<< nData_xj[i]/nData_yj[i] ;
cout<<" +/- "<<RxyErr <<endl;
}
delete nc_xj ;
delete nc_yj ;
return Rxy ;
}
vector<double> BgEstimation::VQFraction( vector<string>& fNames, vector<double>& scaleV ){
// no normalization,
objInfo->Reset(1, false) ;
// set to 2 jet events only
objInfo->Reset(0, false );
objInfo->Reset(0, 2) ;
hLepM2* c_vj = new hLepM2("v2j") ;
hLepM2* c_qcd = new hLepM2("q2j") ;
for ( size_t i = 0; i < fNames.size(); i++) {
if ( fNames[i].substr(0,3) == "qcd" ) objInfo->EvtSelector( fNames[i], c_qcd, smearing, scaleV[i] );
if ( fNames[i].substr(0,3) != "qcd" ) objInfo->EvtSelector( fNames[i], c_vj, smearing, scaleV[i] );
}
vector<double> n_vj ;
c_vj->CounterVec( n_vj );
vector<double> n_qcd ;
c_qcd->CounterVec( n_qcd );
double f_vj = n_vj[0] / (n_vj[0] + n_qcd[0] ) ;
double f_qcd = n_qcd[0] / (n_vj[0] + n_qcd[0] ) ;
vector<double> fracV;
fracV.push_back( f_vj );
fracV.push_back( f_qcd );
cout<<" VJ% = "<< f_vj <<" QCD% = "<< f_qcd <<endl;
delete c_vj ;
delete c_qcd ;
return fracV ;
}
vector<double> BgEstimation::VQFraction( vector<string>& fNames ){
// normalize the MC for signal and background counter
string mcNormalization ;
fitInput->GetParameters( "MCNormalization", &mcNormalization );
bool mcNorm = ( mcNormalization == "YES" ) ? true : false ;
objInfo->Reset(1, mcNorm ) ;
// set to 2 jet events only
//objInfo->Reset(0, false );
//objInfo->Reset(0, 2) ;
double theScale = 1 ;
hLepM2* c_vj = new hLepM2("v2j") ;
hLepM2* c_qcd = new hLepM2("q2j") ;
for ( size_t i = 0; i < fNames.size(); i++) {
if ( fNames[i].substr(0,2) == "tt" ) theScale = fitInput->NormalizeComponents( "tt" ) ;
if ( fNames[i].substr(0,2) == "wj" ) theScale = fitInput->NormalizeComponents( "wj" ) ;
if ( fNames[i].substr(0,2) == "zj" ) theScale = fitInput->NormalizeComponents( "zj" ) ;
if ( fNames[i].substr(0,2) == "tq" ) theScale = fitInput->NormalizeComponents( "tq" ) ;
if ( fNames[i].substr(0,2) == "tw" ) theScale = fitInput->NormalizeComponents( "tw" ) ;
if ( fNames[i].substr(0,2) == "ww" ) theScale = fitInput->NormalizeComponents( "ww" ) ;
if ( fNames[i].substr(0,2) == "qc" ) theScale = fitInput->NormalizeComponents( "qcd" ) ;
if ( fNames[i].substr(0,3) == "qcd" ) objInfo->EvtSelector( fNames[i], c_qcd, smearing, theScale );
if ( fNames[i].substr(0,3) != "qcd" ) objInfo->EvtSelector( fNames[i], c_vj, smearing, theScale );
}
vector<double> n_vj ;
c_vj->CounterVec( n_vj );
vector<double> n_qcd ;
c_qcd->CounterVec( n_qcd );
double f_vj = n_vj[0] / (n_vj[0] + n_qcd[0] ) ;
double f_qcd = n_qcd[0] / (n_vj[0] + n_qcd[0] ) ;
vector<double> fracV;
fracV.push_back( f_vj );
fracV.push_back( f_qcd );
cout<<" VJ% = "<< f_vj <<" QCD% = "<< f_qcd <<endl;
delete c_vj ;
delete c_qcd ;
return fracV ;
}
vector<double> BgEstimation::AlphaSFromR21( vector<string>& fNames, vector<double>& scaleV2, vector<double>& scaleV1 ){
// no normalization,
objInfo->Reset(1, false) ;
// set to exclusive jet only
objInfo->Reset(0, false );
// get the alpha_s for vjets process
objInfo->ResetBGCuts(0, 50 );
objInfo->ResetBGCuts(1, 30 );
hLepM2* c_v2j = new hLepM2("v2j") ;
hLepM2* c_v1j = new hLepM2("v1j") ;
for ( size_t i = 0; i < fNames.size(); i++) {
objInfo->Reset(0, 2) ;
objInfo->QCDSelector( fNames[i], c_v2j, smearing, scaleV2[i], false, 0 );
objInfo->Reset(0, 1) ;
objInfo->QCDSelector( fNames[i], c_v1j, smearing, scaleV1[i], false, 0 );
}
vector<double> n_v2j ;
c_v2j->CounterVec( n_v2j );
vector<double> n_v1j ;
c_v1j->CounterVec( n_v1j );
double alphaV = n_v2j[0] / n_v1j[0] ;
double berend_Vs = pow( alphaV, 2 ) + pow( alphaV, 3 ) + pow( alphaV, 4 ) ;
// get the alpha_s for qcd process
objInfo->ResetBGCuts(0, 35 );
objInfo->ResetBGCuts(1, 20 );
hLepM2* c_q2j = new hLepM2("q2j") ;
hLepM2* c_q1j = new hLepM2("q1j") ;
for ( size_t i = 0; i < fNames.size(); i++) {
objInfo->Reset(0, 2) ;
objInfo->QCDSelector( fNames[i], c_q2j, smearing, scaleV2[i], true, 0 );
objInfo->Reset(0, 1) ;
objInfo->QCDSelector( fNames[i], c_q1j, smearing, scaleV1[i], true, 0 );
}
vector<double> n_q2j ;
c_q2j->CounterVec( n_q2j );
vector<double> n_q1j ;
c_q1j->CounterVec( n_q1j );
double alphaQ = n_q2j[0] / n_q1j[0] ;
double berend_Qs = pow( alphaQ, 2 ) + pow( alphaQ, 3 ) + pow( alphaQ, 4 ) ;
cout<<" a_V = "<< alphaV << " a_Q = "<< alphaQ << endl;
cout<<" berend_V = "<< berend_Vs << " berend_Q = "<< berend_Qs << endl;
vector<double> berends ;
berends.push_back( berend_Vs );
berends.push_back( berend_Qs );
berends.push_back( alphaV );
berends.push_back( alphaQ );
delete c_v2j ;
delete c_v1j ;
delete c_q2j ;
delete c_q1j ;
return berends ;
}
// calculate the ratio by using the alpha_s
vector<double> BgEstimation::RatioX2( vector<string>& MCNames, vector<string>& DataNames ){
// get the Data-MC normalization
vector<double> normV ;
fitInput->GetParameters( "vjNorm", &normV );
vector<double> normQ ;
fitInput->GetParameters( "qcdNorm", &normQ );
// get the nominal scaling for all MC samples
vector<double> scaleV2 ;
vector<double> scaleV1 ;
vector<double> scaleData ;
vector<string> channels ;
fitInput->GetParameters( "channel", &channels, "DataCard.txt" );
for ( size_t i=0; i< channels.size(); i++ ) {
double theScale = fitInput->NormalizeComponents( channels[i] ) ;
if ( i != 6 ) scaleV2.push_back( theScale*normV[1] ) ;
if ( i == 6 ) scaleV2.push_back( theScale*normQ[1] ) ;
if ( i != 6 ) scaleV1.push_back( theScale*normV[0] ) ;
if ( i == 6 ) scaleV1.push_back( theScale*normQ[0] ) ;
scaleData.push_back(1.) ;
}
vector<double> frac_vq = VQFraction( MCNames, scaleV2 );
bool isRealData = ( DataNames[0].substr(0,4) == "data" ) ? true : false ;
vector<double> berends = ( isRealData ) ? AlphaSFromR21( DataNames, scaleData, scaleData ) : AlphaSFromR21( DataNames, scaleV2, scaleV1 );
double RX2 = frac_vq[0]*berends[0] + frac_vq[1]*berends[1] ;
cout<<" RX2 = "<< RX2 << endl;
vector<double> ratios ;
ratios.push_back( RX2 );
return ratios ;
}
vector<double> BgEstimation::RatioX2( vector<string>& MCNames, vector<string>& DataNames, vector<double>& scaleV2, vector<double>& scaleV1 ){
// get the nominal scaling for all MC samples
vector<double> scaleData ;
for ( size_t i=0; i< DataNames.size(); i++ ) {
scaleData.push_back(1.) ;
}
vector<double> frac_vq = VQFraction( MCNames, scaleV2 );
bool isRealData = ( DataNames[0].substr(0,4) == "data" ) ? true : false ;
vector<double> berends = ( isRealData ) ? AlphaSFromR21( DataNames, scaleData, scaleData ) : AlphaSFromR21( DataNames, scaleV2, scaleV1 );
double RX2 = frac_vq[0]*berends[0] + frac_vq[1]*berends[1] ;
vector<double> ratios ;
ratios.push_back( RX2 );
return ratios ;
}
// use 2 file lists which already have differnt jet multiplicity
vector<double> BgEstimation::RatioXY( vector<string>& fNameX, vector<string>& fNameY, int index, bool includeTt, bool doPlot ){
cout<<" ===== Measuring Ratio from 2 Sets of files ===== "<<endl;
double theScale = 1 ;
//objInfo->Reset(0,true) ;
string chtag = "R42" ;
objInfo->Reset(0, 4) ;
hLepM2* nc_xj = new hLepM2( "Nxj", 20. ) ;
int fNameXSize = static_cast<int>( fNameX.size() ) ;
for ( int i = 0; i < fNameXSize; i++) {
if ( i > 3 ) continue ;
if ( !includeTt && i == 0 && index < 0 ) continue;
if ( index > -1 && i != index ) continue ;
if ( fNameX[i].substr(0,2) == "tt" ) theScale = fitInput->NormalizeComponents( "tt" ) ;
if ( fNameX[i].substr(0,2) == "wj" ) theScale = fitInput->NormalizeComponents( "wj" ) ;
if ( fNameX[i].substr(0,2) == "zj" ) theScale = fitInput->NormalizeComponents( "zj" ) ;
if ( fNameX[i].substr(0,2) == "tq" ) theScale = fitInput->NormalizeComponents( "tq" ) ;
if ( fNameX[i].substr(0,2) == "tw" ) theScale = fitInput->NormalizeComponents( "tw" ) ;
if ( fNameX[i].substr(0,2) == "ww" ) theScale = fitInput->NormalizeComponents( "ww" ) ;
if ( fNameX[i].substr(0,2) == "qc" ) theScale = fitInput->NormalizeComponents( "qcd" ) ;
objInfo->EvtSelector( fNameX[i], nc_xj, smearing, theScale );
}
vector<double> nData_xj ;
nc_xj->CounterVec( nData_xj );
if ( doPlot ) {
vector<TH1D*> hs_xj ;
nc_xj->Fill1DVec( hs_xj );
LepM2Plotter( hs_xj, chtag );
}
objInfo->Reset(0, 2) ;
hLepM2* nc_yj = new hLepM2( "Nyj", 20. ) ;
int fNameYSize = static_cast<int>( fNameY.size() ) ;
for ( int i = 0; i < fNameYSize ; i++) {
if ( i > 3 ) continue ;
if ( !includeTt && i == 0 ) continue;
if ( index > -1 && i != index ) continue ;
if ( fNameY[i].substr(0,2) == "tt" ) theScale = fitInput->NormalizeComponents( "tt" ) ;
if ( fNameY[i].substr(0,2) == "wj" ) theScale = fitInput->NormalizeComponents( "wj" ) ;
if ( fNameY[i].substr(0,2) == "zj" ) theScale = fitInput->NormalizeComponents( "zj" ) ;
if ( fNameY[i].substr(0,2) == "tq" ) theScale = fitInput->NormalizeComponents( "tq" ) ;
if ( fNameY[i].substr(0,2) == "tw" ) theScale = fitInput->NormalizeComponents( "tw" ) ;
if ( fNameY[i].substr(0,2) == "ww" ) theScale = fitInput->NormalizeComponents( "ww" ) ;
if ( fNameY[i].substr(0,2) == "qc" ) theScale = fitInput->NormalizeComponents( "qcd" ) ;
objInfo->EvtSelector( fNameY[i], nc_yj, smearing, theScale );
}
vector<double> nData_yj ;
nc_yj->CounterVec( nData_yj );
if ( doPlot ) {
vector<TH1D*> hs_yj ;
nc_yj->Fill1DVec( hs_yj );
LepM2Plotter( hs_yj, chtag );
}
chtag = "" ;
if ( doPlot ) RatioPlotter( nData_xj, nData_yj, chtag );
vector<double> R42 ;
for ( int i=0; i< 5; i++) {
R42.push_back( nData_xj[i]/nData_yj[i] );
}
for ( int i=0; i< 5; i++) {
double R42Err = MassFitFunction::ErrAovB( nData_xj[i], nData_yj[i], nData_xj[i+5], nData_yj[i+5] );
R42.push_back( R42Err );
cout<<" Ratio"<<i<<": "<< nData_xj[i] <<" / "<<nData_yj[i]<<" = "<< nData_xj[i]/nData_yj[i] ;
cout<<" +/- "<<R42Err <<endl;
}
delete nc_xj ;
delete nc_yj ;
return R42 ;
}
// ratio used for systematic studies
vector<double> BgEstimation::RatioXY( vector<string>& fNames, vector<double>& scaleX, vector<double>& scaleY, int njx, int njy, bool inclX, bool inclY ){
cout<<" === Measuring Ratio "<< njx <<"/"<<njy<<" === "<<endl;
objInfo->Reset(1, false ); // no event weighting
objInfo->Reset(0, inclX );
objInfo->Reset(0, njx) ;
hLepM2* nc_xj = new hLepM2( "NXJ" ) ;
for ( size_t i = 0; i < fNames.size(); i++) {
if ( i != 0 ) {
objInfo->EvtSelector( fNames[i], nc_xj, smearing, scaleX[i] );
}
}
vector<double> nData_xj ;
nc_xj->CounterVec( nData_xj );
objInfo->Reset(0, inclY );
objInfo->Reset(0, njy) ;
hLepM2* nc_yj = new hLepM2( "NYJ" ) ;
for ( size_t i = 0; i < fNames.size(); i++) {
if ( njy > 2 && i == 0 ) continue;
objInfo->EvtSelector( fNames[i], nc_yj, smearing, scaleY[i] );
}
vector<double> nData_yj ;
nc_yj->CounterVec( nData_yj );
vector<double> Rxy ;
for ( int i=0; i< 5; i++) {
Rxy.push_back( nData_xj[i]/nData_yj[i] );
}
for ( int i=0; i< 5; i++) {
double RxyErr = MassFitFunction::ErrAovB( nData_xj[i], nData_yj[i], nData_xj[i+5], nData_yj[i+5] );
Rxy.push_back( RxyErr );
cout<<" Ratio"<<i<<": "<< nData_xj[i] <<" / "<<nData_yj[i]<<" = "<< nData_xj[i]/nData_yj[i] ;
cout<<" +/- "<<RxyErr <<endl;
}
delete nc_xj ;
delete nc_yj ;
return Rxy ;
}
void BgEstimation::RatioForSystematic( string cfgFile ) {
// open a log file
string fpName = hfolder+"ratio_sys.log" ;
FILE *ffile = fopen( fpName.c_str() ,"a");
// get the nominal scaling for all MC samples
vector<double> scaleV ;
vector<string> channels ;
fitInput->GetParameters( "channel", &channels, "DataCard.txt" );
for ( size_t i=0; i< channels.size(); i++ ) {
double theScale = fitInput->NormalizeComponents( channels[i] ) ;
scaleV.push_back( theScale ) ;
}
// get the type of systematic
string sysType ;
fitInput->GetParameters( "SysType", &sysType, cfgFile );
vector<double> cutV ;
fitInput->GetParameters( sysType, &cutV, cfgFile );
int ntest = cutV.size() ;
cout<<" N of test = "<< ntest <<" for "<< sysType << endl;
// get the systematic samples
vector<string> sysch ;
fitInput->GetParameters( "channel", &sysch, cfgFile );
for ( int k=0; k< ntest; k++ ) {
// get the files for systematic combinations
int sampleID = ( sysch.size() == 0 ) ? 0 : k+1 ;
ostringstream fnameStr ;
fnameStr << "sample" ;
fnameStr << sampleID ;
vector<string> SysFiles ;
fitInput->GetParameters( fnameStr.str(), &SysFiles, cfgFile );
cout<<" Testing "<< fnameStr.str() <<" -> "<<cutV[k]<<endl;
// get the corresponding Data-MC normalization
ostringstream normStr ;
normStr << "Norm_" ;
normStr << k+1 ;
vector<double> normV ;
fitInput->GetParameters( normStr.str(), &normV, cfgFile );
// replace the scaling for the systematic samples
double sysScale = ( sysch.size() == 0 ) ? 1. : fitInput->NormalizeComponents( sysch[k], cfgFile ) ;
for ( size_t j=0; j< scaleV.size(); j++ ) {
cout<<"-> scale["<<j<<"] = "<<scaleV[j] <<endl;
}
// current situ : sc_norm4 == sc_norm2
vector<double> sc_norm4 ;
vector<double> sc_norm2 ;
for( size_t j=0; j< scaleV.size() ; j++ ) {
double theScale = ( sysType == "Replace" && cutV[k] == j ) ? sysScale : scaleV[j] ;
if ( j== 1 || j==2 || j== 3 || j==4 || j ==5 ) {
//sc_norm4.push_back( (theScale*normV[1]*normV[1]*normV[1])/(normV[0]*normV[0]) );
sc_norm4.push_back( theScale*normV[1] );
sc_norm2.push_back( theScale*normV[1] );
} else if ( j== 6 ) {
//sc_norm4.push_back( (theScale*normV[3]*normV[3]*normV[3])/(normV[2]*normV[2]) );
sc_norm4.push_back( theScale*normV[3] );
sc_norm2.push_back( theScale*normV[3] );
} else {
sc_norm4.push_back( theScale );
sc_norm2.push_back( theScale );
}
}
for ( size_t j=0; j< scaleV.size(); j++ ) {
cout<<"=> scale4["<<j<<"] = "<<sc_norm4[j] << "=> scale2["<<j<<"] = "<<sc_norm2[j] <<endl;
}
if (sysType == "JetPt" ) objInfo->Reset( 0, cutV[k] );
if (sysType == "MuonPt" ) objInfo->Reset( 2, cutV[k] );
if (sysType == "MuonIso" ) objInfo->Reset( 4, cutV[k] );
if (sysType == "SetJES" ) objInfo->Reset( 1, static_cast<int>(cutV[k]) );
// inclX inclY
vector<double> rxy = RatioXY( SysFiles, sc_norm4, sc_norm2, 4, 2, true, false ) ;
fprintf(ffile," %d -> %.4f , %.4f , %.4f , %.4f , %.4f , %.4f , %.4f , %.4f , %.4f , %.4f \n",
k, rxy[0], rxy[1], rxy[2], rxy[3], rxy[4], rxy[5], rxy[6], rxy[7], rxy[8], rxy[9] );
}
fclose(ffile);
}
// estimate background in different W pt regions
vector<double> BgEstimation::BgEstimate( vector<double>& R42, vector<double>& nData_2j ){
//vector<string> fNames ;
//fitInput->GetParameters( "FakeData", &fNames );
//vector<double> R42 = RatioXY( 4, 2, fNames, -1, false, false ) ;
// 2. Calculate the 4Jets background and the uncertainty
double bg4J = 0 ;
double sbg4J[2] = {0,0} ;
double bg4JinPt[4] = { 0. } ;
cout<<" BG Estimated : ( ";
for(int i=1; i<5; i++) {
bg4JinPt[i-1] = R42[i]*nData_2j[i] ;
bg4J += R42[i]*nData_2j[i] ;
cout<<R42[i]*nData_2j[i] <<" , " ;
double pErr4J = MassFitFunction::ErrAxB( R42[i], nData_2j[i], R42[i+5], -1, true );
double nErr4J = MassFitFunction::ErrAxB( R42[i], nData_2j[i], R42[i+5], -1, false );
sbg4J[0] += pErr4J*pErr4J ;
sbg4J[1] += nErr4J*nErr4J ;
}
cout<<" ) == "<< bg4J <<endl;
vector<double> bg4Jv ;
bg4Jv.push_back( bg4J );
bg4Jv.push_back( sqrt( sbg4J[0] ) ); // upward
bg4Jv.push_back( sqrt( sbg4J[1] ) ); // downward
for ( int i=0; i<4; i++){
bg4Jv.push_back( bg4JinPt[i] );
}
return bg4Jv ;
}
// estimate background using overall ratio4/2
vector<double> BgEstimation::BgEstimate( vector<double>& R42, double nData_2j ){
// Calculate the 4Jets background and the uncertainty
double bg4J = R42[0]*nData_2j ;
double pErr4J = MassFitFunction::ErrAxB( R42[0], nData_2j, R42[5], -1, true );
double nErr4J = MassFitFunction::ErrAxB( R42[0], nData_2j, R42[5], -1, false );
cout<<" BG Estimated = "<< bg4J <<endl;
vector<double> bg4Jv ;
bg4Jv.push_back( bg4J );
bg4Jv.push_back( pErr4J ); // upward
bg4Jv.push_back( nErr4J ); // downward
return bg4Jv ;
}
void BgEstimation::LepM2Plotter( vector<TH1D*>& h1Ds, TString Tag ){
TString theFolder = hfolder ;
gSystem->mkdir( theFolder );
gSystem->cd( theFolder );
TString theSubFolder = "hLepM2Info/"+Tag ;
gSystem->mkdir( "hLepM2Info" );
gSystem->cd( "hLepM2Info/" );
gSystem->mkdir( Tag );
gSystem->cd( "../../" );
TString hNames[7] = { "W_Pt", "W_Mt", "SumJetPt",
"Mt_SumJetPt1", "Mt_SumJetPt2", "Mt_SumJetPt3", "Mt_SumJetPt4" };
gStyle->SetOptStat("io");
gStyle->SetLabelSize( 0.05, "X");
gStyle->SetLabelSize( 0.05, "Y");
gStyle->SetStatFontSize( 0.08);
for (int i=0; i< 3 ; i++) {
gStyle->SetStatFontSize( 0.08);
TCanvas* c1 = new TCanvas("c1","", 800, 600);
c1->SetGrid();
c1->SetFillColor(10);
c1->SetFillColor(10);
c1->cd();
h1Ds[i]->Draw();
c1->Update();
TString plotname = hfolder + theSubFolder +"/"+ hNames[i]+ Tag + "."+ plotType ;
c1->Print( plotname );
delete c1;
}
for (int i=0; i< 4 ; i++) {
int j = i*2 + 3 ;
gStyle->SetStatFontSize( 0.08);
gStyle->SetStatFontSize( 0.08);
TCanvas* c1 = new TCanvas("c1","", 800, 600);
c1->SetGrid();
c1->SetFillColor(10);
c1->SetFillColor(10);
c1->Divide(1,2);
c1->cd(1);
h1Ds[j]->Draw();
c1->Update();
c1->cd(2);
h1Ds[j+1]->Draw();
c1->Update();
TString plotname = hfolder + theSubFolder +"/"+ hNames[i+3]+ "."+ plotType ;
c1->Print( plotname );
delete c1;
}
}
void BgEstimation::RatioPlotter( vector<double>& nW1, vector<double>& nW2, TString Tag, double scale ){
TCanvas* c1 = new TCanvas("c1","", 750, 600);
c1->SetGrid();
c1->SetFillColor(10);
c1->SetFillColor(10);
c1->cd();
TF1 *func = new TF1("func", MassFitFunction::fitPoly, 0, 200, 2);
func->FixParameter(0, nW1[0]/nW2[0] ) ;
func->FixParameter(1, 0 ) ;
func->SetLineColor(2);
func->SetLineWidth(2);
double ratio[4] = { nW1[1]/nW2[1], nW1[2]/nW2[2], nW1[3]/nW2[3], nW1[4]/nW2[4] };
double ptcut[4] = { 10, 30, 50, 70 };
double rErr[4] = {0.};
double ptRange[4] = {0.};
for (int i=0; i<4; i++) {
rErr[i] = MassFitFunction::ErrAovB( nW1[i+1], nW2[i+1], nW1[i+6], nW2[i+6] );
ptRange[i] = 10. ;
//if (i==4) ptRange[i] = 60. ;
}
TGraphErrors* hRatio = new TGraphErrors( 4, ptcut, ratio, ptRange, rErr );
hRatio->SetMaximum( 0.6 );
hRatio->SetMinimum( 0.05 );
hRatio->GetXaxis()->SetLimits(0,80);
hRatio->SetMarkerColor(4);
hRatio->SetMarkerStyle(20);
hRatio->SetMarkerSize(2.0);
hRatio->SetLineWidth(2);
hRatio->SetTitle("Ratio vs Pt of Mt");
hRatio->Draw("AP");
func->Draw("SAME");
c1->Update();
TString plotname = hfolder + "hLepM2Info/"+ Tag + "."+plotType ;
c1->Print( plotname );
delete hRatio ;
delete func ;
delete c1 ;
}
vector<double> BgEstimation::MtFitter( string& DataName, vector<string>& fNames, int phaseIdx ){
int k = 1 + phaseIdx*2 ;
// Get Data
hLepM2* hs_data = new hLepM2( "hs_data" ) ;
objInfo->EvtSelector( DataName, hs_data, false, 1 );
vector<TH1D*> hData_v ;
hs_data->Fill1DVec( hData_v );
double N_Data = hData_v[k]->Integral() ;
int nbin = 30 ;
if ( hData_v[k]->Integral() < 500. && phaseIdx < 3) {
nbin = 15 ;
hData_v[k]->Rebin(2);
}
vector<TH1D*> hTemplates ;
// template 1 : W + Z + Tt
double scaleWj = fitInput->NormalizeComponents( "wj" ) ;
double scaleZj = fitInput->NormalizeComponents( "zj" ) ;
double scaleTt = fitInput->NormalizeComponents( "tt" ) ;
double scaleQCD = fitInput->NormalizeComponents( "qcd" ) ;
//objInfo->Reset(0, true );
//objInfo->Reset(0, 0 ) ;
hLepM2* h_wj = new hLepM2( "h_wj", nbin ) ;
objInfo->EvtSelector( fNames[1], h_wj, false, scaleWj );
vector<TH1D*> hW_xj ;
h_wj->Fill1DVec( hW_xj );
hLepM2* h_zj = new hLepM2( "h_zj", nbin ) ;
objInfo->EvtSelector( fNames[3], h_zj, false, scaleZj );
vector<TH1D*> hZ_xj ;
h_zj->Fill1DVec( hZ_xj );
hLepM2* h_tt = new hLepM2( "h_tt", nbin ) ;
objInfo->EvtSelector( fNames[0], h_tt, false, scaleTt );
vector<TH1D*> hT_xj ;
h_tt->Fill1DVec( hT_xj );
hW_xj[k]->Add( hT_xj[k], 1 );
hW_xj[k]->Add( hZ_xj[k], 1 );
double N_VJ = hW_xj[k]->Integral() ;
hW_xj[k]->Scale( 150000./hW_xj[k]->Integral() );
// template 2 : QCD
hLepM2* h_qcd = new hLepM2( "h_qcd", nbin ) ;
objInfo->EvtSelector( fNames[2], h_qcd, false, scaleQCD );
vector<TH1D*> hQ_xj ;
h_qcd->Fill1DVec( hQ_xj );
double N_QCD = hQ_xj[k]->Integral() ;
hQ_xj[k]->Scale( 150000./hQ_xj[k]->Integral() );
hTemplates.push_back( hQ_xj[k] );
hTemplates.push_back( hW_xj[k] );
// Fit
int fbin = ( nbin != 30 || phaseIdx > 2 ) ? 11 : 22 ;
vector<double> fRatio = JacobianFitter( hData_v[k], hTemplates, phaseIdx, 1, fbin );
vector<double> fracN ;
for ( size_t i=0; i< fRatio.size(); i++){
fracN.push_back( N_Data*fRatio[i] ) ;
}
cout <<" QCD scale = "<< N_Data*fRatio[0]/N_QCD <<endl;
cout <<" Non-QCD scale = "<< N_Data*fRatio[1]/N_VJ <<endl;
delete h_wj ;
delete h_zj ;
delete h_tt ;
delete h_qcd ;
delete hs_data ;
return fracN ;
}
vector<double> BgEstimation::JacobianFitter( TH1D* hData, vector<TH1D*>& hTemplates, int phaseIdx, int fbin1, int fbin2 ){
TString theFolder = hfolder ;
TString theSubFolder = "JbFitter/" ;
gSystem->mkdir( theFolder );
gSystem->cd( theFolder );
gSystem->mkdir( theSubFolder );
gSystem->cd( "../" );
gStyle->SetOptFit(111);
gStyle->SetOptStat("ieo");
TCanvas* c1 = new TCanvas("c1","", 900, 700);
c1->SetGrid();
c1->SetFillColor(10);
c1->SetFillColor(10);
c1->cd();
int nTemp = hTemplates.size() ;
TObjArray* temps = new TObjArray( nTemp );
for ( int i=0; i< nTemp; i++ ) {
temps->Add( hTemplates[i] ) ;
}
TFractionFitter* jbfit = new TFractionFitter( hData, temps );
jbfit->SetRangeX( fbin1, fbin2 ) ;
Int_t status = jbfit->Fit();
cout<<" fit status = "<< status <<endl;
vector<double> fRatio ;
if ( status == 0 || status == 4 ) {
double ratio[10];
double err[10];
for ( int i=0; i< nTemp; i++ ) {
jbfit->GetResult( i, ratio[i], err[i] );
fRatio.push_back( ratio[i] );
}
double theScale = hData->Integral() / hTemplates[0]->Integral() ;
THStack* hStk = new THStack("hStk", "LepM2T_Fit" );
hTemplates[0]->SetFillColor(kYellow);
hTemplates[1]->SetFillColor(kGreen);
hTemplates[0]->Scale( ratio[0]*theScale );
hTemplates[1]->Scale( ratio[1]*theScale );
hStk->Add( hTemplates[1] );
hStk->Add( hTemplates[0] );
hData->SetMarkerSize(1);
hData->SetMarkerStyle(21);
hData->Draw("PE");
c1->Update();
hStk->Draw("same");
c1->Update();
hData->Draw("PE SAME");
c1->Update();
}
char xchar[2];
sprintf( xchar, "%d", phaseIdx ) ;
string xtag = xchar ;
TString plotname = hfolder + theSubFolder + "LepWFit_" + xtag + "." +plotType ;
c1->Print( plotname );
delete jbfit ;
//delete temps ;
delete c1 ;
return fRatio ;
}
vector<double> BgEstimation::MeasureScale( string& dataFile, vector<string>& fNames ){
cout<<" --- MC Scaling Measuring --- "<<endl;
double scale1 = fitInput->NormalizeComponents( "wj" );
double scale2 = fitInput->NormalizeComponents( "qcd" );
double scale3 = fitInput->NormalizeComponents( "zj" );
bgCounter* hwj = new bgCounter("wj_") ;
objInfo->EvtSelector( fNames[1], hwj, false, scale1 );
vector<double> h_wj ;
hwj->CounterVec( h_wj );
bgCounter* hzj = new bgCounter("zj_") ;
objInfo->EvtSelector( fNames[3], hzj, false, scale3 );
vector<double> h_zj ;
hzj->CounterVec( h_zj );
bgCounter* hqcd = new bgCounter("qcd_") ;
objInfo->EvtSelector( fNames[2], hqcd, false, scale2 );
vector<double> h_qcd ;
hqcd->CounterVec( h_qcd );
vector<double> mcScale ;
for ( int i=0; i< 5; i++) {
double nqcd0 = h_qcd[i] ;
double nV0 = h_wj[i] + h_zj[i] ;
vector<double> fitR = MtFitter( dataFile, fNames, i );
cout<<" Phase "<<i<<" QCDNorm = "<< fitR[0]/ nqcd0 <<" VNorm = "<< fitR[1]/nV0 <<endl ;
mcScale.push_back( fitR[0]/ nqcd0 );
mcScale.push_back( fitR[1]/ nV0 );
}
delete hwj;
delete hzj;
delete hqcd;
return mcScale ;
}
double BgEstimation::MeasureScale2D( string& DataName, vector<string>& fakeData, double MtCut, double METCut, bool doQCD, bool isVjNorm ){
objInfo->ResetBGCuts(0, MtCut);
objInfo->ResetBGCuts(1, METCut);
objInfo->Reset(1, isVjNorm );
int nbin_ = 2 ;
hObjs* hdt = new hObjs("data", nbin_ ) ;
objInfo->QCDSelector( DataName, hdt, false, 1, doQCD );
vector<TH2D*> h_dt ;
hdt->Fill2DVec( h_dt );
if ( h_dt[0]->Integral() < 500. ) {
nbin_ = 15 ;
h_dt[0]->RebinY(2);
}
double scale0 = fitInput->NormalizeComponents( "tt" );
double scale1 = fitInput->NormalizeComponents( "wj" );
double scale2 = fitInput->NormalizeComponents( "zj" );
double scale3 = fitInput->NormalizeComponents( "tq" );
double scale4 = fitInput->NormalizeComponents( "tw" );
double scale5 = fitInput->NormalizeComponents( "ww" );
double scale6 = fitInput->NormalizeComponents( "qcd" );
hObjs* htt = new hObjs("tt", nbin_ ) ;
objInfo->QCDSelector( fakeData[0], htt, false, scale0, doQCD );
vector<TH2D*> h_tt ;
htt->Fill2DVec( h_tt );
hObjs* hwj = new hObjs("wj", nbin_ ) ;
objInfo->QCDSelector( fakeData[1], hwj, false, scale1, doQCD );
vector<TH2D*> h_wj ;
hwj->Fill2DVec( h_wj );
hObjs* hzj = new hObjs("zj", nbin_ ) ;
objInfo->QCDSelector( fakeData[2], hzj, false, scale2, doQCD );
vector<TH2D*> h_zj ;
hzj->Fill2DVec( h_zj );
hObjs* htq = new hObjs("tq", nbin_ ) ;
objInfo->QCDSelector( fakeData[3], htq, false, scale3, doQCD );
vector<TH2D*> h_tq ;
htq->Fill2DVec( h_tq );
hObjs* htw = new hObjs("tw", nbin_ ) ;
objInfo->QCDSelector( fakeData[4], htw, false, scale4, doQCD );
vector<TH2D*> h_tw ;
htw->Fill2DVec( h_tw );
hObjs* hww = new hObjs("ww", nbin_ ) ;
objInfo->QCDSelector( fakeData[5], hww, false, scale5, doQCD );
vector<TH2D*> h_ww ;
hww->Fill2DVec( h_ww );
hObjs* hqcd = new hObjs("qcd", nbin_ ) ;
objInfo->QCDSelector( fakeData[6], hqcd, false, scale6, doQCD );
vector<TH2D*> h_qcd ;
hqcd->Fill2DVec( h_qcd );
TH2D* hMC = new TH2D("hMC", " MET(X) vs lep Mt(Y) ", 30, 0, 150, nbin_, 0, 150 );
TH2D* hMC_A = new TH2D("hMC_A", " MET(X) vs lep Mt(Y) ", 30, 0, 150, nbin_, 0, 150 );
TH2D* hData = new TH2D("hData", " MET(X) vs lep Mt(Y) ", 30, 0, 150, nbin_, 0, 150 );
hMC_A->Add( h_qcd[0] );
hMC_A->Add( h_wj[0] );
hMC_A->Add( h_zj[0] );
hMC_A->Add( h_tt[0] );
hMC_A->Add( h_tq[0] );
hMC_A->Add( h_tw[0] );
hMC_A->Add( h_ww[0] );
if ( doQCD ) {
hMC->Add( h_qcd[0] );
hData->Add( h_dt[0], 1. );
hData->Add( h_tt[0], -1. );
hData->Add( h_wj[0], -1. );
hData->Add( h_zj[0], -1. );
hData->Add( h_tq[0], -1. );
hData->Add( h_tw[0], -1. );
hData->Add( h_ww[0], -1. );
}
if ( !doQCD ) {
hMC->Add( h_wj[0] );
hMC->Add( h_zj[0] );
hMC->Add( h_tt[0] );
hMC->Add( h_tq[0] );
hMC->Add( h_tw[0] );
hMC->Add( h_ww[0] );
hData->Add( h_dt[0], 1. );
hData->Add( h_qcd[0], -1. );
}
cout<<" N of MC QCD = "<< h_qcd[0]->Integral() <<endl;
cout<<" N of MC WJ = "<< h_wj[0]->Integral() <<endl;
cout<<" N of MC zJ = "<< h_zj[0]->Integral() <<endl;
cout<<" N of MC tt = "<< h_tt[0]->Integral() <<endl;
cout<<" N of MC tq = "<< h_tq[0]->Integral() <<endl;
cout<<" N of MC tw = "<< h_tw[0]->Integral() <<endl;
cout<<" N of MC tw = "<< h_ww[0]->Integral() <<endl;
cout<<" N of Data = "<< h_dt[0]->Integral() <<" -> "<< hData->Integral() <<endl ;