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JES.cc
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JES.cc
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#include "JES.h"
JES::JES() {
fitInput = new MassAnaInput();
fitFunc = new MassFitFunction();
fitInput->Initialize( &hfolder );
fitInput->GetParameters( "MassLBound", &mL);
fitInput->GetParameters( "MassHBound", &mH);
}
JES::~JES(){
delete fitInput ;
delete fitFunc;
}
double JES::WMSC( TLorentzVector v1, TLorentzVector v2, double jes ){
TLorentzVector sjv1( v1.Px()*jes, v1.Py()*jes, v1.Pz()*jes, v1.E()*jes );
TLorentzVector sjv2( v2.Px()*jes, v2.Py()*jes, v2.Pz()*jes, v2.E()*jes );
TLorentzVector wp4 = sjv1 + sjv2;
return wp4.M() ;
}
double JES::deltaR( TLorentzVector v1, TLorentzVector v2 ){
double dA = v1.Eta() - v2.Eta();
double dF = v1.Phi() - v2.Phi();
double dR = sqrt( (dA*dA) + (dF*dF) ) ;
return dR ;
}
void JES::WMassSpectrum( TString mName, TH1D* hWM0, TH1D* hWM, TH1D* hMCW, double jes ) {
// get the file names of fake data
//TString fNameList[5];
//fitInput->GetFileName( mName, 1, fNameList );
//TFile* file = TFile::Open( fNameList[0] );
TString theFileName ;
vector<string> msets;
fitInput->GetParameters( "TMassAssumption", &msets );
vector<string> sglist;
fitInput->GetParameters( "Signals", &sglist );
for (size_t i=0; i< msets.size(); i++) {
TString massump = msets[i].substr(0,3) ;
if ( massump == mName ) theFileName = sglist[i] + ".root" ;
}
TFile* file = TFile::Open( theFileName );
TTree* tr0 = (TTree*) file->Get( "mcmTt" );
TTree* tr1 = (TTree*) file->Get( "solTt" );
TTree* tr2 = (TTree*) file->Get( "selJet" );
// this is only for MC Matching
int evtId0, entSz0, jid0[5] ;
tr0->SetBranchAddress( "evtId" ,&evtId0 );
tr0->SetBranchAddress( "JId" ,&jid0 );
tr0->SetBranchAddress( "entSz" ,&entSz0);
int evtId1, entId1, iniId1, entSz1, jid1[5] ;
tr1->SetBranchAddress( "evtId" ,&evtId1 );
tr1->SetBranchAddress( "entId" ,&entId1 );
tr1->SetBranchAddress( "entSz" ,&entSz1 );
tr1->SetBranchAddress( "iniId" ,&iniId1 );
tr1->SetBranchAddress( "JId" ,&jid1 );
double px,py,pz,E, bDis;
int evtId2 ;
tr2->SetBranchAddress("px" ,&px);
tr2->SetBranchAddress("py" ,&py);
tr2->SetBranchAddress("pz" ,&pz);
tr2->SetBranchAddress("E" ,&E);
tr2->SetBranchAddress("evtId" ,&evtId2);
tr2->SetBranchAddress("qCut" ,&bDis );
int evtId = 0 ;
int nbtag = 0 ;
std::vector<TLorentzVector> jpv ;
std::vector<double> blist ;
int it1 = 1;
int it0 = 1;
tr0->GetEntry(it0);
tr1->GetEntry(it1);
for (int k=1; k<= tr2->GetEntries() ; k++) {
tr2->GetEntry(k);
//cout<<" objs event id = "<< evtId2 <<endl;
if ( evtId != evtId2 ) {
//cout<<" evtId = "<< evtId<<" evtId0 = "<< evtId0<<" it1: "<<it1 <<endl;
// looking for MC Matched permutation
tr0->GetEntry(it0);
if ( evtId !=0 && evtId == evtId0 && hMCW != NULL ) {
//cout<<" n of permu = "<< entSz0 <<" j0:"<<jid0[0]<<" j1:"<<jid0[1]<<endl;
if ( jpv[ jid0[0] ].Pt() >= 30 && jpv[ jid0[1] ].Pt() >= 30 ) {
//if ( entSz0 == 24 ) {
double mcwmass = WMSC( jpv[ jid0[0] ], jpv[ jid0[1] ], jes ) ;
hMCW->Fill( mcwmass );
}
it0++ ;
}
// skip no solution events
tr1->GetEntry(it1);
bool noSolution = true;
if ( evtId == evtId1 ) {
it1 = it1 + entSz1 ;
noSolution = false;
}
// W mass spectrum
int nW = 0 ;
for (size_t i1=0; i1 < jpv.size()-1; i1++ ) {
if ( noSolution ) break;
for (size_t i2=i1+1; i2<jpv.size(); i2++ ) {
double wmass = WMSC( jpv[i1], jpv[i2], jes ) ;
hWM0->Fill( wmass );
if ( blist[i1] < 5 && blist[i2] < 5 && nbtag > 0 ) {
hWM->Fill( wmass );
nW++;
}
}
}
//cout<<" nW = "<< nW <<" nbtag = "<< nbtag<< endl;
evtId = evtId2 ;
jpv.clear();
blist.clear();
nbtag = 0;
}
TLorentzVector jp1( px, py, pz, E );
jpv.push_back( jp1 );
blist.push_back( bDis );
if ( bDis > 5 ) nbtag++;
}
}
void JES::GetJESFromW( TString mName, Double_t* para, double jes ){
int jesdigi = static_cast<int>(jes*100) ;
cout<<" jes digig = "<< jesdigi <<" -> "<<jes <<endl;
char jname[6] = { 0 };
sprintf( jname, "_%d_", jesdigi );
TH1D* ttW0 = new TH1D("ttW0"," W Mass from Tt w/o Btag ", 40, 0, 200 );
TH1D* ttW1 = new TH1D("ttW1"," W Mass from Tt w/ Btag ", 20, 0, 200 );
TH1D* ttW2 = new TH1D("ttW2"," W Mass from Tt MC matched", 40, 0, 200 );
TH1D* wjW0 = new TH1D("wjW0"," W Mass from Wj w/o Btag ", 40, 0, 200 );
TH1D* wjW1 = new TH1D("wjW1"," W Mass from Wj w/ Btag ", 20, 0, 200 );
WMassSpectrum( mName, ttW0, ttW1, ttW2, jes );
WMassSpectrum( "_WJets", wjW0, wjW1, NULL, jes );
fitInput->NormalizeComponents( "tt", ttW0 );
fitInput->NormalizeComponents( "wj", wjW0 );
fitInput->NormalizeComponents( "tt", ttW1 );
fitInput->NormalizeComponents( "wj", wjW1 );
fitInput->NormalizeComponents( "tt", ttW2 );
/*
fitInput->NormalizeComponents( 100, 12000, 1, ttW0 );
fitInput->NormalizeComponents( 100, 120000, 2, wjW0 );
fitInput->NormalizeComponents( 100, 12000, 1, ttW1 );
fitInput->NormalizeComponents( 100, 120000, 2, wjW1 );
fitInput->NormalizeComponents( 100, 12000, 1, ttW2 );
*/
// add them
TH1D* allW0 = new TH1D("allW0","", 40, 0, 200 );
allW0->Add( ttW0 );
allW0->Add( wjW0 );
TH1D* allW1 = new TH1D("allW1","", 20, 0, 200 );
allW1->Add( ttW1 );
allW1->Add( wjW1 );
// stack them
THStack* wStk0 = new THStack("wStk0", "Combined W ");
wjW0->SetFillColor(2);
ttW0->SetFillColor(3);
wStk0->Add( wjW0 );
wStk0->Add( ttW0 );
THStack* wStk1 = new THStack("wStk1", "Combined W ");
wjW1->SetFillColor(2);
ttW1->SetFillColor(3);
wStk1->Add( wjW1 );
wStk1->Add( ttW1 );
cout<<" wj0 # = "<< wjW0->Integral() << " wj1 # = "<< wjW1->Integral() << endl;
gStyle->SetOptStat("neim");
gStyle->SetOptFit(111);
gStyle->SetStatFontSize(0.05);
TCanvas* c1 = new TCanvas("c1","", 800, 700);
c1->SetGrid();
c1->SetFillColor(10);
c1->SetFillColor(10);
c1->Divide(2,2);
c1->cd(1);
wStk0->Draw();
TLegend *leg = new TLegend(.70, .6, .95, .65);
leg->AddEntry(ttW0, "Tt", "f");
leg->AddEntry(wjW0, "wjets", "f");
leg->Draw("same");
c1->Update();
TF1* funcW0 = new TF1("funcW0", MassFitFunction::fitLD , 40, 180, 3);
funcW0->SetParLimits(0, 10., allW0->Integral() );
funcW0->SetParLimits(1, 45, 125.);
funcW0->SetParLimits(2, 10., 200.);
funcW0->SetLineColor(1);
allW0->Fit( funcW0, "R","sames", 40, 180 );
c1->Update();
if ( para != NULL ) para[0] = funcW0->GetParameter(1);
if ( para != NULL ) para[1] = funcW0->GetParameter(2);
c1->cd(2);
wStk1->Draw();
TF1* funcW1 = new TF1("funcW1", MassFitFunction::fitGS , 40, 140, 3);
funcW1->SetParLimits(0, 10., allW1->Integral() );
funcW1->SetParLimits(1, 45, 125.);
funcW1->SetParLimits(2, 10., 200.);
funcW1->SetLineColor(1);
allW1->Fit( funcW1, "R","sames", 40, 140 );
c1->Update();
if ( para != NULL ) para[2] = funcW1->GetParameter(1);
if ( para != NULL ) para[3] = funcW1->GetParameter(2);
c1->cd(3);
ttW2->Draw();
TF1* funcW2 = new TF1("funcW2", MassFitFunction::fitGS , 40, 140, 3);
funcW2->SetParLimits(0, 5., ttW2->Integral() );
funcW2->SetParLimits(1, 50, 110.);
funcW2->SetParLimits(2, 5., 100.);
ttW2->Fit( funcW2, "R","sames", 50*jes,110*jes );
c1->Update();
if ( para != NULL ) para[4] = funcW2->GetParameter(1);
if ( para != NULL ) para[5] = funcW2->GetParameter(2);
c1->Print(hfolder+mName+jname+"_AllWMass.gif");
//c1->Print(hfolder+mName+"_AllWMass.gif");
delete c1;
delete funcW0;
delete funcW1;
delete funcW2;
}
void JES::CalibJES( TString mName ){
Double_t para[6];
Double_t p0[7];
Double_t p1[7];
Double_t p2[7];
Double_t p3[7];
Double_t p4[7];
Double_t p5[7];
Double_t x[7];
Double_t xErr[7] = { 0.0 };
for ( int i =0; i < 7; i ++) {
double theJES = 0.94 + i*0.02 ;
GetJESFromW( mName, para, theJES );
p0[i] = para[0] ;
p1[i] = para[1] ;
p2[i] = para[2] ;
p3[i] = para[3] ;
p4[i] = para[4] ;
p5[i] = para[5] ;
x[i] = theJES ;
}
c2 = new TCanvas("c2","", 800, 600);
c2->SetFillColor(10);
c2->SetFillColor(10);
gPad->SetGridx();
gPad->SetGridy();
c2->Divide(2,2);
c2->cd(1);
gStyle->SetOptStat(kTRUE);
gStyle->SetOptFit(111);
TGraphErrors* hWJES0 = new TGraphErrors( 7, x, p0, xErr, p1 );
hWJES0->SetMarkerColor(4);
hWJES0->SetMarkerStyle(20);
hWJES0->SetLineWidth(2);
hWJES0->SetLineColor(4);
hWJES0->SetTitle("No B Tagging");
hWJES0->Draw("AP");
TF1* func0 = new TF1("func0", MassFitFunction::fitPoly , 0.9, 1.1, 2);
hWJES0->Fit( func0, "RQ","sames", x[0]-0.2, x[6]+0.2 );
c2->Update();
c2->cd(2);
TGraphErrors* hWJES1 = new TGraphErrors( 7, x, p2, xErr, p3 );
hWJES1->SetMarkerColor(4);
hWJES1->SetMarkerStyle(20);
hWJES1->SetLineWidth(2);
hWJES1->SetLineColor(4);
hWJES1->SetTitle("B Tagged Events");
hWJES1->Draw("AP");
hWJES1->Fit( func0, "RQ","sames", x[0]-0.2, x[6]+0.2 );
c2->Update();
c2->cd(3);
TGraphErrors* hWJES2 = new TGraphErrors( 7, x, p4, xErr, p5 );
hWJES2->SetMarkerColor(4);
hWJES2->SetMarkerStyle(20);
hWJES2->SetLineWidth(2);
hWJES2->SetLineColor(4);
hWJES2->SetTitle("MC Matched");
hWJES2->Draw("AP");
hWJES2->Fit( func0, "RQ","sames", x[0]-0.2, x[6]+0.2 );
c2->Update();
c2->Print(hfolder+mName+"_JESTest.gif");
}
void JES::Matching( TString mName, double jes, TH1D* hMatchW ){
// get the file names of fake data
//TString fNameList[5];
//fitInput->GetFileName( mName, 1, fNameList );
//TFile* file = TFile::Open( fNameList[0] );
TString theFileName ;
vector<string> msets;
fitInput->GetParameters( "TMassAssumption", &msets );
vector<string> sglist;
fitInput->GetParameters( "Signals", &sglist );
for (size_t i=0; i< msets.size(); i++) {
TString massump = msets[i].substr(0,3) ;
if ( massump == mName ) theFileName = sglist[i] + ".root" ;
}
TFile* file = TFile::Open( theFileName );
TTree* tr0 = (TTree*) file->Get( "mcmTt" );
TTree* tr1 = (TTree*) file->Get( "selJet" );
TTree* tr2 = (TTree*) file->Get( "gen" );
// this is only for MC Matching
int evtId0, entSz0, jid0[5] ;
tr0->SetBranchAddress( "evtId" ,&evtId0 );
tr0->SetBranchAddress( "JId" ,&jid0 );
tr0->SetBranchAddress( "entSz" ,&entSz0);
double px1,py1,pz1,E1 ;
int evtId1, objId1 ;
tr1->SetBranchAddress("px" ,&px1);
tr1->SetBranchAddress("py" ,&py1);
tr1->SetBranchAddress("pz" ,&pz1);
tr1->SetBranchAddress("E" ,&E1);
tr1->SetBranchAddress("evtId" ,&evtId1);
tr1->SetBranchAddress("objId" ,&objId1);
// parton p4
double px2,py2,pz2,E2 ;
int evtId2, objId2 ;
tr2->SetBranchAddress("px" ,&px2);
tr2->SetBranchAddress("py" ,&py2);
tr2->SetBranchAddress("pz" ,&pz2);
tr2->SetBranchAddress("E" ,&E2);
tr2->SetBranchAddress("evtId" ,&evtId2);
tr2->SetBranchAddress("objId" ,&objId2);
std::vector<TLorentzVector> jpv ;
std::vector<TLorentzVector> qpv ;
int j1=1;
int j2=1;
for (int k=1; k<= tr0->GetEntries() ; k++) {
tr0->GetEntry(k);
//cout<<" objs event id = "<< evtId2 <<endl;
for (int j=j1; j<= tr1->GetEntries() ; j++) {
tr1->GetEntry(j);
if ( evtId0 != evtId1 ) continue;
if ( objId1 == jid0[0]) {
TLorentzVector jp0( px1, py1, pz1, E1 );
jpv.push_back( jp0 );
}
if ( objId1 == jid0[1]) {
TLorentzVector jp1( px1, py1, pz1, E1 );
jpv.push_back( jp1 );
}
if ( jpv.size() == 2 ) {
j1 = j;
break ;
}
}
for (int j=j2; j<= tr2->GetEntries() ; j++) {
tr2->GetEntry(j);
if ( evtId0 != evtId2 ) continue;
if ( abs(objId2) < 5 ) {
TLorentzVector qp0( px2, py2, pz2, E2 );
qpv.push_back( qp0 );
}
if ( qpv.size() == 2 ) {
j2 = j;
break ;
}
}
double w1 = WMSC( jpv[0], jpv[1], jes ) ;
//double w2 = WMSC( qpv[0], qpv[1], jes ) ;
double dR11 = deltaR( jpv[0], qpv[0] );
double dR22 = deltaR( jpv[1], qpv[1] );
double dR12 = deltaR( jpv[0], qpv[1] );
double dR21 = deltaR( jpv[1], qpv[0] );
double DR1 = sqrt( dR11*dR11 + dR22*dR22 ) ;
double DR2 = sqrt( dR12*dR12 + dR21*dR21 ) ;
/*
cout<<" evt:"<< evtId1 <<" wMass1 = "<< w1 <<endl;
cout<<" jpv0:("<< jpv[0].Px()<<","<< jpv[0].Py()<<"," << jpv[0].Pz()<<")"<<endl;
cout<<" jpv1:("<< jpv[1].Px()<<","<< jpv[1].Py()<<"," << jpv[1].Pz()<<")"<<endl;
cout<<" evt:"<< evtId2 <<" wMass2 = "<< w2 <<endl;
cout<<" qpv0:("<< qpv[0].Px()<<","<< qpv[0].Py()<<"," << qpv[0].Pz()<<")"<<endl;
cout<<" qpv1:("<< qpv[1].Px()<<","<< qpv[1].Py()<<"," << qpv[1].Pz()<<")"<<endl;
cout<<" dR11:"<<dR11<<" dR22:"<<dR22 <<" DR => "<< DR1 <<endl;
cout<<" dR12:"<<dR12<<" dR21:"<<dR21 <<" DR => "<< DR2 <<endl;
if ( DR1 < 0.7 || DR2 < 0.7 ) cout <<" *** good W matching ("<< w1 <<" , "<<w2 <<" )"<<endl ;
cout<<" -------------------------------------------------------- "<<endl;
*/
bool matched = ( DR1 < 0.7 || DR2 < 0.7 ) ? true : false ;
if ( matched && hMatchW != NULL ) hMatchW->Fill( w1 );
jpv.clear();
qpv.clear();
}
}
void JES::Smearing( TString mName, double sgm, TH1D* hSmearW ){
// get the file names of fake data
//TString fNameList[5];
//fitInput->GetFileName( mName, 1, fNameList );
TString theFileName ;
vector<string> msets;
fitInput->GetParameters( "TMassAssumption", &msets );
vector<string> sglist;
fitInput->GetParameters( "Signals", &sglist );
for (size_t i=0; i< msets.size(); i++) {
TString massump = msets[i].substr(0,3) ;
if ( massump == mName ) theFileName = sglist[i] + ".root" ;
}
TFile* file = TFile::Open( theFileName );
TTree* tr = (TTree*) file->Get( "gen" );
double px,py,pz,E ;
int evtId, objId ;
tr->SetBranchAddress("px" ,&px);
tr->SetBranchAddress("py" ,&py);
tr->SetBranchAddress("pz" ,&pz);
tr->SetBranchAddress("E" ,&E);
tr->SetBranchAddress("evtId" ,&evtId);
tr->SetBranchAddress("objId" ,&objId);
TH1D* hGen = new TH1D("hGen"," Generated E ", 50 , 0., 250. );
TH1D* hSmr = new TH1D("hSmr"," Smearing E ", 50 , 0., 250. );
TH1D* hRes = new TH1D("hRes"," E Resolution", 50 , -2., 2. );
TH1D* hgW = new TH1D("hgW"," generated W ", 40 , 30., 150. );
TH1D* hsW = new TH1D("hsW"," Smeared W ", 40 , 30., 150. );
TRandom *gRan = new TRandom();
int evtId0 = 0;
std::vector<TLorentzVector> wjj ;
std::vector<TLorentzVector> wqq ;
int wid = 0 ;
bool nlep = 0;
for (int i=1; i<= tr->GetEntries() ; i++) {
tr->GetEntry(i);
if ( evtId == 1 ) evtId0 = evtId ;
// check W mass
bool realW = ( wid == 3 || wid == 7 ) ? true : false ;
if ( evtId != evtId0 && wjj.size() == 2 && wqq.size()==2 && realW && nlep == 1 ) {
TLorentzVector swP4( wjj[0].Px()+wjj[1].Px(),wjj[0].Py()+wjj[1].Py(),wjj[0].Pz()+wjj[1].Pz(),wjj[0].E()+wjj[1].E() );
TLorentzVector gwP4( wqq[0].Px()+wqq[1].Px(),wqq[0].Py()+wqq[1].Py(),wqq[0].Pz()+wqq[1].Pz(),wqq[0].E()+wqq[1].E() );
hsW->Fill( swP4.M() );
hgW->Fill( gwP4.M() );
if ( hSmearW != NULL ) hSmearW->Fill( swP4.M() );
//cout<<" record "<< evtId0 <<endl;
}
if ( evtId != evtId0 ) {
wjj.clear();
wqq.clear();
wid = 0;
evtId0 = evtId ;
nlep = 0;
}
if ( abs(objId) == 13 ) nlep++ ;
if ( abs(objId) > 4 || objId == 0 ) continue;
//cout<<"objId:"<< objId <<" evtId:"<<evtId<<" wjj size="<< wjj.size()<<" wqq size="<< wqq.size()<<" wid:"<<wid<< endl;
TLorentzVector qP4( px, py, pz, E );
double gval = gRan->Gaus(0,1) ;
double dEt = sgm*sqrt( (5.6*5.6) + ( 1.25*1.25*qP4.Et() ) + ( 0.033*0.033*qP4.Et()*qP4.Et() ) );
double dE = gval*dEt*( qP4.P()/ qP4.Pt() ) ;
double Scale = ( E + dE ) / E ;
TLorentzVector jP4( Scale*px, Scale*py, Scale*pz, Scale*E );
double ResE = 1 -(jP4.E()/E) ;
if ( fabs(jP4.Eta()) > 2.7 ) continue ;
if ( jP4.Et() < 30 ) continue ;
wjj.push_back( jP4 );
wqq.push_back( qP4 );
wid += abs( objId ) ;
hGen->Fill( E );
hSmr->Fill( jP4.E() );
hRes->Fill( ResE );
}
if ( hSmearW == NULL ) {
TCanvas* c3 = new TCanvas("c3","", 900, 800);
gStyle->SetStatFontSize(0.04);
gStyle->SetStatW(0.25);
gStyle->SetOptStat("neim");
gStyle->SetOptFit(111);
c3->SetGrid();
c3->SetFillColor(10);
c3->Divide(2,2);
c3->cd(1);
gPad->SetGridx();
hGen->Draw();
c3->Update();
c3->cd(2);
gPad->SetGridx();
hSmr->SetLineColor(2);
hSmr->Draw();
c3->Update();
c3->cd(3);
hRes->Draw();
hRes->Fit( "gaus", "R","sames", -1, 1);
c3->Update();
c3->cd(4);
hgW->Draw();
c3->Update();
hsW->SetLineColor(2);
gStyle->SetStatY(0.75);
gStyle->SetStatTextColor(2);
hsW->Draw("sames");
c3->Update();
c3->Print(hfolder+"gRandom1.gif");
TCanvas* c4 = new TCanvas("c4","", 700, 800);
c4->SetFillColor(10);
c4->Divide(1,2);
c4->cd(1);
gPad->SetGridx();
hgW->Draw();
c4->Update();
c4->cd(2);
gPad->SetGridx();
gStyle->SetStatY(0.95);
hsW->Draw();
c4->Update();
c4->Print(hfolder+"wmass1.gif");
}
}
void JES::SmearAndMatch( TString mName ){
TH1D* hsm0 = new TH1D("hsm0"," W Mass w/ 0.7 ", 40, 0, 200 );
TH1D* hsm1 = new TH1D("hsm1"," W Mass w/ 0.9 ", 40, 0, 200 );
TH1D* hsm2 = new TH1D("hsm2"," W Mass w/ 1.1 ", 40, 0, 200 );
TH1D* hsm3 = new TH1D("hsm3"," W Mass w/ 1.3 ", 40, 0, 200 );
TH1D* hsm4 = new TH1D("hsm4"," W Mass w/ 1.5 ", 40, 0, 200 );
TH1D* ttW2 = new TH1D("ttW2"," W Mass from Tt MC matched ", 40, 0, 200 );
Smearing( mName, 0.7, hsm0 );
Smearing( mName, 0.9, hsm1 );
Smearing( mName, 1.1, hsm2 );
Smearing( mName, 1.3, hsm3 );
Smearing( mName, 1.5, hsm4 );
//WMassSpectrum( mName, ttW0, ttW1, ttW2, 1. );
Matching( mName, 1., ttW2 );
double s0 = hsm0->Integral();
double s1 = hsm1->Integral();
double s2 = hsm2->Integral();
double s3 = hsm3->Integral();
double s4 = hsm4->Integral();
double n1 = ttW2->Integral();
hsm0->Scale(2500/s0) ;
hsm1->Scale(2500/s1) ;
hsm2->Scale(2500/s2) ;
hsm3->Scale(2500/s3) ;
hsm4->Scale(2500/s4) ;
ttW2->Scale(2500/n1) ;
double mX[5] ={0.7, 0.9, 1.1, 1.3, 1.5};
double eX[5] ={0};
double mW[5] ={0};
double eW[5] ={0};
TCanvas* c5 = new TCanvas("c5","", 900, 800);
gStyle->SetStatW(0.25);
gStyle->SetOptStat("neim");
gStyle->SetOptFit(111);
c5->SetGrid();
c5->SetFillColor(10);
hsm0->Draw();
c5->Update();
TF1* fGs = new TF1("fGs", MassFitFunction::fitGS , 30, 150, 3);
fGs->SetParLimits(0, 5., hsm0->Integral() );
fGs->SetParameter(1, 80.4 );
fGs->SetParLimits(2, 5., 100.);
fGs->SetLineColor(5);
hsm0->SetLineColor(5);
hsm0->Fit( fGs, "R","sames", 30, 150 );
mW[0] = fGs->GetParameter(1) ;
eW[0] = fGs->GetParameter(2) ;
c5->Update();
fGs->SetParLimits(0, 5., hsm1->Integral() );
fGs->SetParameter(1, 80.4 );
fGs->SetParLimits(2, 5., 100.);
fGs->SetLineColor(2);
hsm1->SetLineColor(2);
hsm1->Fit( fGs, "R","sames", 30, 150 );
mW[1] = fGs->GetParameter(1) ;
eW[1] = fGs->GetParameter(2) ;
c5->Update();
fGs->SetParLimits(0, 5., hsm2->Integral() );
fGs->SetParameter(1, 80.4 );
fGs->SetParLimits(2, 5., 100.);
fGs->SetLineColor(4);
hsm2->SetLineColor(4);
hsm2->Fit( fGs, "R","sames", 30, 150 );
mW[2] = fGs->GetParameter(1) ;
eW[2] = fGs->GetParameter(2) ;
c5->Update();
fGs->SetParLimits(0, 5., hsm3->Integral() );
fGs->SetParameter(1, 80.4 );
fGs->SetParLimits(2, 5., 100.);
fGs->SetLineColor(6);
hsm3->SetLineColor(6);
hsm3->Fit( fGs, "R","sames", 30, 150 );
mW[3] = fGs->GetParameter(1) ;
eW[3] = fGs->GetParameter(2) ;
c5->Update();
fGs->SetParLimits(0, 5., hsm4->Integral() );
fGs->SetParameter(1, 80.4 );
fGs->SetParLimits(2, 5., 100.);
fGs->SetLineColor(8);
hsm4->SetLineColor(8);
hsm4->Fit( fGs, "R","sames", 30, 150 );
mW[4] = fGs->GetParameter(1) ;
eW[4] = fGs->GetParameter(2) ;
c5->Update();
fGs->SetParLimits(0, 5., ttW2->Integral() );
fGs->SetParameter(1, 80.4 );
fGs->SetParLimits(2, 5., 100.);
fGs->SetLineColor(1);
ttW2->SetLineColor(1);
ttW2->Fit( fGs, "R","sames", 30, 150 );
c5->Update();
c5->Print(hfolder+"SmearEffb.gif");
TCanvas* c6 = new TCanvas("c6","", 800, 600);
c6->SetFillColor(10);
gPad->SetGridx();
gPad->SetGridy();
gStyle->SetOptStat(kTRUE);
gStyle->SetOptFit(111);
c6->cd();
TGraphErrors* hSmEff = new TGraphErrors( 5, mX, mW, eX, eW );
hSmEff->SetMarkerColor(4);
hSmEff->SetMarkerStyle(20);
hSmEff->SetLineWidth(2);
hSmEff->SetLineColor(4);
hSmEff->SetTitle(" Smearing Effect");
hSmEff->Draw("AP");
TF1* func0 = new TF1("func0", MassFitFunction::fitPoly , 0.9, 1.1, 2);
hSmEff->Fit( func0, "RQ","sames", mX[0]-0.1, mX[4]+0.1 );
c6->Update();
c6->Print(hfolder+"SmearEff1.gif");
}