int KinZfitter::PerZ1Likelihood(double & l1, double & l2, double & lph1, double & lph2)
{
l1= 1.0; l2 = 1.0;
lph1 = 1.0; lph2 = 1.0;
if(debug_) cout<<"start Z1 refit"<<endl;
TLorentzVector Z1_1 = p4sZ1_[0]; TLorentzVector Z1_2 = p4sZ1_[1];
double RECOpT1 = Z1_1.Pt(); double RECOpT2 = Z1_2.Pt();
double pTerrZ1_1 = pTerrsZ1_[0]; double pTerrZ1_2 = pTerrsZ1_[1];
if(debug_)cout<<"pT1 "<<RECOpT1<<" pTerrZ1_1 "<<pTerrZ1_1<<endl;
if(debug_)cout<<"pT2 "<<RECOpT2<<" pTerrZ1_2 "<<pTerrZ1_2<<endl;
//////////////
TLorentzVector Z1_ph1, Z1_ph2;
double pTerrZ1_ph1, pTerrZ1_ph2;
double RECOpTph1, RECOpTph2;
TLorentzVector nullFourVector(0, 0, 0, 0);
Z1_ph1=nullFourVector; Z1_ph2=nullFourVector;
RECOpTph1 = 0; RECOpTph2 = 0;
pTerrZ1_ph1 = 0; pTerrZ1_ph2 = 0;
if(p4sZ1ph_.size()>=1){
Z1_ph1 = p4sZ1ph_[0]; pTerrZ1_ph1 = pTerrsZ1ph_[0];
RECOpTph1 = Z1_ph1.Pt();
if(debug_) cout<<"put in Z1 fsr photon 1 pT "<<RECOpTph1<<" pT err "<<pTerrZ1_ph1<<endl;
}
if(p4sZ1ph_.size()==2){
//if(debug_) cout<<"put in Z1 fsr photon 2"<<endl;
Z1_ph2 = p4sZ1ph_[1]; pTerrZ1_ph2 = pTerrsZ1ph_[1];
RECOpTph2 = Z1_ph2.Pt();
}
RooRealVar* pT1RECO = new RooRealVar("pT1RECO","pT1RECO", RECOpT1, 5, 500);
RooRealVar* pT2RECO = new RooRealVar("pT2RECO","pT2RECO", RECOpT2, 5, 500);
double RECOpT1min = max(5.0, RECOpT1-2*pTerrZ1_1);
double RECOpT2min = max(5.0, RECOpT2-2*pTerrZ1_2);
RooRealVar* pTph1RECO = new RooRealVar("pTph1RECO","pTph1RECO", RECOpTph1, 5, 500);
RooRealVar* pTph2RECO = new RooRealVar("pTph2RECO","pTph2RECO", RECOpTph2, 5, 500);
double RECOpTph1min = max(0.5, RECOpTph1-2*pTerrZ1_ph1);
double RECOpTph2min = max(0.5, RECOpTph2-2*pTerrZ1_ph2);
// observables pT1,2,ph1,ph2
RooRealVar* pT1 = new RooRealVar("pT1", "pT1FIT", RECOpT1, RECOpT1min, RECOpT1+2*pTerrZ1_1 );
RooRealVar* pT2 = new RooRealVar("pT2", "pT2FIT", RECOpT2, RECOpT2min, RECOpT2+2*pTerrZ1_2 );
RooRealVar* m1 = new RooRealVar("m1","m1", Z1_1.M());
RooRealVar* m2 = new RooRealVar("m2","m2", Z1_2.M());
if(debug_) cout<<"m1 "<<m1->getVal()<<" m2 "<<m2->getVal()<<endl;
double Vtheta1, Vphi1, Vtheta2, Vphi2;
Vtheta1 = (Z1_1).Theta(); Vtheta2 = (Z1_2).Theta();
Vphi1 = (Z1_1).Phi(); Vphi2 = (Z1_2).Phi();
RooRealVar* theta1 = new RooRealVar("theta1","theta1",Vtheta1);
RooRealVar* phi1 = new RooRealVar("phi1","phi1",Vphi1);
RooRealVar* theta2 = new RooRealVar("theta2","theta2",Vtheta2);
RooRealVar* phi2 = new RooRealVar("phi2","phi2",Vphi2);
// dot product to calculate (p1+p2+ph1+ph2).M()
RooFormulaVar E1("E1","TMath::Sqrt((@0*@0)/((TMath::Sin(@1))*(TMath::Sin(@1)))+@2*@2)",
RooArgList(*pT1,*theta1,*m1));
RooFormulaVar E2("E2","TMath::Sqrt((@0*@0)/((TMath::Sin(@1))*(TMath::Sin(@1)))+@2*@2)",
RooArgList(*pT2,*theta2,*m2));
if(debug_) cout<<"E1 "<<E1.getVal()<<"; E2 "<<E2.getVal()<<endl;
/////
RooRealVar* pTph1 = new RooRealVar("pTph1", "pTph1FIT", RECOpTph1, RECOpTph1min, RECOpTph1+2*pTerrZ1_ph1 );
RooRealVar* pTph2 = new RooRealVar("pTph2", "pTph2FIT", RECOpTph2, RECOpTph2min, RECOpTph2+2*pTerrZ1_ph2 );
double Vthetaph1, Vphiph1, Vthetaph2, Vphiph2;
Vthetaph1 = (Z1_ph1).Theta(); Vthetaph2 = (Z1_ph2).Theta();
Vphiph1 = (Z1_ph1).Phi(); Vphiph2 = (Z1_ph2).Phi();
RooRealVar* thetaph1 = new RooRealVar("thetaph1","thetaph1",Vthetaph1);
RooRealVar* phiph1 = new RooRealVar("phiph1","phiph1",Vphiph1);
RooRealVar* thetaph2 = new RooRealVar("thetaph2","thetaph2",Vthetaph2);
RooRealVar* phiph2 = new RooRealVar("phiph2","phi2",Vphiph2);
RooFormulaVar Eph1("Eph1","TMath::Sqrt((@0*@0)/((TMath::Sin(@1))*(TMath::Sin(@1))))",
RooArgList(*pTph1,*thetaph1));
RooFormulaVar Eph2("Eph2","TMath::Sqrt((@0*@0)/((TMath::Sin(@1))*(TMath::Sin(@1))))",
RooArgList(*pTph2,*thetaph2));
//// dot products of 4-vectors
// 3-vector DOT
RooFormulaVar* p1v3D2 = new RooFormulaVar("p1v3D2",
"@0*@1*( ((TMath::Cos(@2))*(TMath::Cos(@3)))/((TMath::Sin(@2))*(TMath::Sin(@3)))+(TMath::Cos(@4-@5)))",
RooArgList(*pT1,*pT2,*theta1,*theta2,*phi1,*phi2));
if(debug_) cout<<"p1 DOT p2 is "<<p1v3D2->getVal()<<endl;
// 4-vector DOT metric 1 -1 -1 -1
RooFormulaVar p1D2("p1D2","@0*@1-@2",RooArgList(E1,E2,*p1v3D2));
//lep DOT fsrPhoton1
// 3-vector DOT
RooFormulaVar* p1v3Dph1 = new RooFormulaVar("p1v3Dph1",
"@0*@1*( (TMath::Cos(@2)*TMath::Cos(@3))/(TMath::Sin(@2)*TMath::Sin(@3))+TMath::Cos(@4-@5))",
RooArgList(*pT1,*pTph1,*theta1,*thetaph1,*phi1,*phiph1));
// 4-vector DOT metric 1 -1 -1 -1
RooFormulaVar p1Dph1("p1Dph1","@0*@1-@2",RooArgList(E1,Eph1,*p1v3Dph1));
// 3-vector DOT
RooFormulaVar* p2v3Dph1 = new RooFormulaVar("p2v3Dph1",
"@0*@1*( (TMath::Cos(@2)*TMath::Cos(@3))/(TMath::Sin(@2)*TMath::Sin(@3))+TMath::Cos(@4-@5))",
RooArgList(*pT2,*pTph1,*theta2,*thetaph1,*phi2,*phiph1));
// 4-vector DOT metric 1 -1 -1 -1
RooFormulaVar p2Dph1("p2Dph1","@0*@1-@2",RooArgList(E2,Eph1,*p2v3Dph1));
// lep DOT fsrPhoton2
// 3-vector DOT
RooFormulaVar* p1v3Dph2 = new RooFormulaVar("p1v3Dph2",
"@0*@1*( (TMath::Cos(@2)*TMath::Cos(@3))/(TMath::Sin(@2)*TMath::Sin(@3))+TMath::Cos(@4-@5))",
RooArgList(*pT1,*pTph2,*theta1,*thetaph2,*phi1,*phiph2));
// 4-vector DOT metric 1 -1 -1 -1
RooFormulaVar p1Dph2("p1Dph2","@0*@1-@2",RooArgList(E1,Eph2,*p1v3Dph2));
// 3-vector DOT
RooFormulaVar* p2v3Dph2 = new RooFormulaVar("p2v3Dph2",
"@0*@1*( (TMath::Cos(@2)*TMath::Cos(@3))/(TMath::Sin(@2)*TMath::Sin(@3))+TMath::Cos(@4-@5))",
RooArgList(*pT2,*pTph2,*theta2,*thetaph2,*phi2,*phiph2));
// 4-vector DOT metric 1 -1 -1 -1
RooFormulaVar p2Dph2("p2Dph2","@0*@1-@2",RooArgList(E2,Eph2,*p2v3Dph2));
// fsrPhoton1 DOT fsrPhoton2
// 3-vector DOT
RooFormulaVar* ph1v3Dph2 = new RooFormulaVar("ph1v3Dph2",
"@0*@1*( (TMath::Cos(@2)*TMath::Cos(@3))/(TMath::Sin(@2)*TMath::Sin(@3))+TMath::Cos(@4-@5))",
RooArgList(*pTph1,*pTph2,*thetaph1,*thetaph2,*phiph1,*phiph2));
// 4-vector DOT metric 1 -1 -1 -1
RooFormulaVar ph1Dph2("ph1Dph2","@0*@1-@2",RooArgList(Eph1,Eph2,*ph1v3Dph2));
// mZ1
RooFormulaVar* mZ1;
mZ1 = new RooFormulaVar("mZ1","TMath::Sqrt(2*@0+@1*@1+@2*@2)",RooArgList(p1D2,*m1,*m2));
if(p4sZ1ph_.size()==1)
mZ1 = new RooFormulaVar("mZ1","TMath::Sqrt(2*@0+2*@1+2*@2+@3*@3+@4*@4)",
RooArgList(p1D2, p1Dph1, p2Dph1, *m1,*m2));
if(p4sZ1ph_.size()==2)
mZ1 = new RooFormulaVar("mZ1","TMath::Sqrt(2*@0+2*@1+2*@2+2*@3+2*@4+2*@5+@6*@6+@7*@7)",
RooArgList(p1D2,p1Dph1,p2Dph1,p1Dph2,p2Dph2,ph1Dph2, *m1,*m2));
if(debug_) cout<<"mZ1 is "<<mZ1->getVal()<<endl;
// pTerrs, 1,2,ph1,ph2
RooRealVar sigmaZ1_1("sigmaZ1_1", "sigmaZ1_1", pTerrZ1_1);
RooRealVar sigmaZ1_2("sigmaZ1_2", "sigmaZ1_2", pTerrZ1_2);
RooRealVar sigmaZ1_ph1("sigmaZ1_ph1", "sigmaZ1_ph1", pTerrZ1_ph1);
RooRealVar sigmaZ1_ph2("sigmaZ1_ph2", "sigmaZ1_ph2", pTerrZ1_ph2);
// resolution for decay products
RooGaussian gauss1("gauss1","gaussian PDF", *pT1RECO, *pT1, sigmaZ1_1);
RooGaussian gauss2("gauss2","gaussian PDF", *pT2RECO, *pT2, sigmaZ1_2);
RooGaussian gaussph1("gaussph1","gaussian PDF", *pTph1RECO, *pTph1, sigmaZ1_ph1);
RooGaussian gaussph2("gaussph2","gaussian PDF", *pTph2RECO, *pTph2, sigmaZ1_ph2);
RooRealVar bwMean("bwMean", "m_{Z^{0}}", 91.187);
RooRealVar bwGamma("bwGamma", "#Gamma", 2.5);
RooRealVar sg("sg", "sg", sgVal_);
RooRealVar a("a", "a", aVal_);
RooRealVar n("n", "n", nVal_);
RooCBShape CB("CB","CB",*mZ1,bwMean,sg,a,n);
RooRealVar f("f","f", fVal_);
RooRealVar mean("mean","mean",meanVal_);
RooRealVar sigma("sigma","sigma",sigmaVal_);
RooRealVar f1("f1","f1",f1Val_);
RooGenericPdf RelBW("RelBW","1/( pow(mZ1*mZ1-bwMean*bwMean,2)+pow(mZ1,4)*pow(bwGamma/bwMean,2) )", RooArgSet(*mZ1,bwMean,bwGamma) );
RooAddPdf RelBWxCB("RelBWxCB","RelBWxCB", RelBW, CB, f);
RooGaussian gauss("gauss","gauss",*mZ1,mean,sigma);
RooAddPdf RelBWxCBxgauss("RelBWxCBxgauss","RelBWxCBxgauss", RelBWxCB, gauss, f1);
RooProdPdf *PDFRelBWxCBxgauss;
PDFRelBWxCBxgauss = new RooProdPdf("PDFRelBWxCBxgauss","PDFRelBWxCBxgauss",
RooArgList(gauss1, gauss2, RelBWxCBxgauss) );
if(p4sZ1ph_.size()==1)
PDFRelBWxCBxgauss = new RooProdPdf("PDFRelBWxCBxgauss","PDFRelBWxCBxgauss",
RooArgList(gauss1, gauss2, gaussph1, RelBWxCBxgauss) );
if(p4sZ1ph_.size()==2)
PDFRelBWxCBxgauss = new RooProdPdf("PDFRelBWxCBxgauss","PDFRelBWxCBxgauss",
RooArgList(gauss1, gauss2, gaussph1, gaussph2, RelBWxCBxgauss) );
// observable set
RooArgSet *rastmp;
rastmp = new RooArgSet(*pT1RECO,*pT2RECO);
if(p4sZ1ph_.size()==1)
rastmp = new RooArgSet(*pT1RECO,*pT2RECO,*pTph1RECO);
if(p4sZ1ph_.size()>=2)
rastmp = new RooArgSet(*pT1RECO,*pT2RECO,*pTph1RECO,*pTph2RECO);
RooDataSet* pTs = new RooDataSet("pTs","pTs", *rastmp);
pTs->add(*rastmp);
//RooAbsReal* nll;
//nll = PDFRelBWxCBxgauss->createNLL(*pTs);
//RooMinuit(*nll).migrad();
RooFitResult* r = PDFRelBWxCBxgauss->fitTo(*pTs,RooFit::Save(),RooFit::PrintLevel(-1));
const TMatrixDSym& covMatrix = r->covarianceMatrix();
const RooArgList& finalPars = r->floatParsFinal();
for (int i=0 ; i<finalPars.getSize(); i++){
TString name = TString(((RooRealVar*)finalPars.at(i))->GetName());
if(debug_) cout<<"name list of RooRealVar for covariance matrix "<<name<<endl;
}
int size = covMatrix.GetNcols();
//TMatrixDSym covMatrixTest_(size);
covMatrixZ1_.ResizeTo(size,size);
covMatrixZ1_ = covMatrix;
if(debug_) cout<<"save the covariance matrix"<<endl;
l1 = pT1->getVal()/RECOpT1; l2 = pT2->getVal()/RECOpT2;
double pTerrZ1REFIT1 = pT1->getError(); double pTerrZ1REFIT2 = pT2->getError();
pTerrsZ1REFIT_.push_back(pTerrZ1REFIT1);
pTerrsZ1REFIT_.push_back(pTerrZ1REFIT2);
if(p4sZ1ph_.size()>=1){
if(debug_) cout<<"set refit result for Z1 fsr photon 1"<<endl;
lph1 = pTph1->getVal()/RECOpTph1;
double pTerrZ1phREFIT1 = pTph1->getError();
if(debug_) cout<<"scale "<<lph1<<" pterr "<<pTerrZ1phREFIT1<<endl;
pTerrsZ1phREFIT_.push_back(pTerrZ1phREFIT1);
}
if(p4sZ1ph_.size()==2){
lph2 = pTph2->getVal()/RECOpTph2;
double pTerrZ1phREFIT2 = pTph2->getError();
pTerrsZ1phREFIT_.push_back(pTerrZ1phREFIT2);
}
//delete nll;
delete r;
delete mZ1;
delete pT1; delete pT2; delete pTph1; delete pTph2;
delete pT1RECO; delete pT2RECO; delete pTph1RECO; delete pTph2RECO;
delete ph1v3Dph2; delete p1v3Dph1; delete p2v3Dph1; delete p1v3Dph2; delete p2v3Dph2;
delete PDFRelBWxCBxgauss;
delete pTs;
delete rastmp;
if(debug_) cout<<"end Z1 refit"<<endl;
return 0;
}
void KinZfitter::MakeModel(/*RooWorkspace &w,*/ KinZfitter::FitInput &input, KinZfitter::FitOutput &output) {
//lep
RooRealVar pTRECO1_lep("pTRECO1_lep", "pTRECO1_lep", input.pTRECO1_lep, 5, 500);
RooRealVar pTRECO2_lep("pTRECO2_lep", "pTRECO2_lep", input.pTRECO2_lep, 5, 500);
RooRealVar pTMean1_lep("pTMean1_lep", "pTMean1_lep",
input.pTRECO1_lep, max(5.0, input.pTRECO1_lep-2*input.pTErr1_lep), input.pTRECO1_lep+2*input.pTErr1_lep);
RooRealVar pTMean2_lep("pTMean2_lep", "pTMean2_lep",
input.pTRECO2_lep, max(5.0, input.pTRECO2_lep-2*input.pTErr2_lep), input.pTRECO2_lep+2*input.pTErr2_lep);
RooRealVar pTSigma1_lep("pTSigma1_lep", "pTSigma1_lep", input.pTErr1_lep);
RooRealVar pTSigma2_lep("pTSigma2_lep", "pTSigma2_lep", input.pTErr2_lep);
RooRealVar theta1_lep("theta1_lep", "theta1_lep", input.theta1_lep);
RooRealVar theta2_lep("theta2_lep", "theta2_lep", input.theta2_lep);
RooRealVar phi1_lep("phi1_lep", "phi1_lep", input.phi1_lep);
RooRealVar phi2_lep("phi2_lep", "phi2_lep", input.phi2_lep);
RooRealVar m1("m1", "m1", input.m1);
RooRealVar m2("m2", "m2", input.m2);
//gamma
RooRealVar pTRECO1_gamma("pTRECO1_gamma", "pTRECO1_gamma", input.pTRECO1_gamma, 5, 500);
RooRealVar pTRECO2_gamma("pTRECO2_gamma", "pTRECO2_gamma", input.pTRECO2_gamma, 5, 500);
RooRealVar pTMean1_gamma("pTMean1_gamma", "pTMean1_gamma",
input.pTRECO1_gamma, max(0.5, input.pTRECO1_gamma-2*input.pTErr1_gamma), input.pTRECO1_gamma+2*input.pTErr1_gamma);
RooRealVar pTMean2_gamma("pTMean2_gamma", "pTMean2_gamma",
input.pTRECO2_gamma, max(0.5, input.pTRECO2_gamma-2*input.pTErr2_gamma), input.pTRECO2_gamma+2*input.pTErr2_gamma);
RooRealVar pTSigma1_gamma("pTSigma1_gamma", "pTSigma1_gamma", input.pTErr1_gamma);
RooRealVar pTSigma2_gamma("pTSigma2_gamma", "pTSigma2_gamma", input.pTErr2_gamma);
RooRealVar theta1_gamma("theta1_gamma", "theta1_gamma", input.theta1_gamma);
RooRealVar theta2_gamma("theta2_gamma", "theta2_gamma", input.theta2_gamma);
RooRealVar phi1_gamma("phi1_gamma", "phi1_gamma", input.phi1_gamma);
RooRealVar phi2_gamma("phi2_gamma", "phi2_gamma", input.phi2_gamma);
//gauss
RooGaussian gauss1_lep("gauss1_lep", "gauss1_lep", pTRECO1_lep, pTMean1_lep, pTSigma1_lep);
RooGaussian gauss2_lep("gauss2_lep", "gauss2_lep", pTRECO2_lep, pTMean2_lep, pTSigma2_lep);
RooGaussian gauss1_gamma("gauss1_gamma", "gauss1_gamma", pTRECO1_gamma, pTMean1_gamma, pTSigma1_gamma);
RooGaussian gauss2_gamma("gauss2_gamma", "gauss2_gamma", pTRECO2_gamma, pTMean2_gamma, pTSigma2_gamma);
TString makeE_lep = "TMath::Sqrt((@0*@0)/((TMath::Sin(@1))*(TMath::Sin(@1)))+@2*@2)";
RooFormulaVar E1_lep("E1_lep", makeE_lep, RooArgList(pTMean1_lep, theta1_lep, m1)); //w.import(E1_lep);
RooFormulaVar E2_lep("E2_lep", makeE_lep, RooArgList(pTMean2_lep, theta2_lep, m2)); //w.import(E2_lep);
TString makeE_gamma = "TMath::Sqrt((@0*@0)/((TMath::Sin(@1))*(TMath::Sin(@1))))";
RooFormulaVar E1_gamma("E1_gamma", makeE_gamma, RooArgList(pTMean1_gamma, theta1_gamma)); //w.import(E1_gamma);
RooFormulaVar E2_gamma("E2_gamma", makeE_gamma, RooArgList(pTMean2_gamma, theta2_gamma)); //w.import(E2_gamma);
//dotProduct 3d
TString dotProduct_3d = "@0*@1*( ((TMath::Cos(@2))*(TMath::Cos(@3)))/((TMath::Sin(@2))*(TMath::Sin(@3)))+(TMath::Cos(@4-@5)))";
RooFormulaVar p1v3D2("p1v3D2", dotProduct_3d, RooArgList(pTMean1_lep, pTMean2_lep, theta1_lep, theta2_lep, phi1_lep, phi2_lep));
RooFormulaVar p1v3Dph1("p1v3Dph1", dotProduct_3d, RooArgList(pTMean1_lep, pTMean1_gamma, theta1_lep, theta1_gamma, phi1_lep, phi1_gamma));
RooFormulaVar p2v3Dph1("p2v3Dph1", dotProduct_3d, RooArgList(pTMean2_lep, pTMean1_gamma, theta2_lep, theta1_gamma, phi2_lep, phi1_gamma));
RooFormulaVar p1v3Dph2("p1v3Dph2", dotProduct_3d, RooArgList(pTMean1_lep, pTMean2_gamma, theta1_lep, theta2_gamma, phi1_lep, phi2_gamma));
RooFormulaVar p2v3Dph2("p2v3Dph2", dotProduct_3d, RooArgList(pTMean2_lep, pTMean2_gamma, theta2_lep, theta2_gamma, phi2_lep, phi2_gamma));
RooFormulaVar ph1v3Dph2("ph1v3Dph2", dotProduct_3d, RooArgList(pTMean1_gamma, pTMean2_gamma, theta1_gamma, theta2_gamma, phi1_gamma, phi2_gamma));
TString dotProduct_4d = "@0*@1-@2";
RooFormulaVar p1D2("p1D2", dotProduct_4d, RooArgList(E1_lep, E2_lep, p1v3D2)); //w.import(p1D2);
RooFormulaVar p1Dph1("p1Dph1", dotProduct_4d, RooArgList(E1_lep, E1_gamma, p1v3Dph1));// w.import(p1Dph1);
RooFormulaVar p2Dph1("p2Dph1", dotProduct_4d, RooArgList(E2_lep, E1_gamma, p2v3Dph1)); // w.import(p2Dph1);
RooFormulaVar p1Dph2("p1Dph2", dotProduct_4d, RooArgList(E1_lep, E2_gamma, p1v3Dph2)); //w.import(p1Dph2);
RooFormulaVar p2Dph2("p2Dph2", dotProduct_4d, RooArgList(E2_lep, E2_gamma, p2v3Dph2)); //w.import(p2Dph2);
RooFormulaVar ph1Dph2("ph1Dph2", dotProduct_4d, RooArgList(E1_gamma, E2_gamma, ph1v3Dph2)); // w.import(ph1Dph2);
RooRealVar bwMean("bwMean", "m_{Z^{0}}", 91.187); //w.import(bwMean);
RooRealVar bwGamma("bwGamma", "#Gamma", 2.5);
RooProdPdf* PDFRelBW;
RooFormulaVar* mZ;
RooGenericPdf* RelBW;
//mZ
mZ = new RooFormulaVar("mZ", "TMath::Sqrt(2*@0+@1*@1+@2*@2)", RooArgList(p1D2, m1, m2));
RelBW = new RooGenericPdf("RelBW","1/( pow(mZ*mZ-bwMean*bwMean,2)+pow(mZ,4)*pow(bwGamma/bwMean,2) )", RooArgSet(*mZ,bwMean,bwGamma) );
PDFRelBW = new RooProdPdf("PDFRelBW", "PDFRelBW", RooArgList(gauss1_lep, gauss2_lep, *RelBW));
if (input.nFsr == 1) {
mZ = new RooFormulaVar("mZ", "TMath::Sqrt(2*@0+2*@1+2*@2+@3*@3+@4*@4)", RooArgList(p1D2, p1Dph1, p2Dph1, m1, m2));
RelBW = new RooGenericPdf("RelBW","1/( pow(mZ*mZ-bwMean*bwMean,2)+pow(mZ,4)*pow(bwGamma/bwMean,2) )", RooArgSet(*mZ,bwMean,bwGamma) );
// PDFRelBW = new RooProdPdf("PDFRelBW", "PDFRelBW", RooArgList(gauss1_lep, gauss2_lep, gauss1_gamma, *RelBW));
}
if (input.nFsr == 2) {
mZ = new RooFormulaVar("mZ", "TMath::Sqrt(2*@0+2*@1+2*@2+2*@3+2*@4+2*@5+@6*@6+@7*@7)", RooArgList(p1D2,p1Dph1,p2Dph1,p1Dph2,p2Dph2,ph1Dph2, m1, m2));
RelBW = new RooGenericPdf("RelBW","1/( pow(mZ*mZ-bwMean*bwMean,2)+pow(mZ,4)*pow(bwGamma/bwMean,2) )", RooArgSet(*mZ,bwMean,bwGamma) );
// PDFRelBW = new RooProdPdf("PDFRelBW", "PDFRelBW", RooArgList(gauss1_lep, gauss2_lep, gauss1_gamma, gauss2_gamma, *RelBW));
}
//true shape
RooRealVar sg("sg", "sg", sgVal_);
RooRealVar a("a", "a", aVal_);
RooRealVar n("n", "n", nVal_);
RooCBShape CB("CB","CB",*mZ,bwMean,sg,a,n);
RooRealVar f("f","f", fVal_);
RooRealVar mean("mean","mean",meanVal_);
RooRealVar sigma("sigma","sigma",sigmaVal_);
RooRealVar f1("f1","f1",f1Val_);
RooAddPdf *RelBWxCB;
RelBWxCB = new RooAddPdf("RelBWxCB","RelBWxCB", *RelBW, CB, f);
RooGaussian *gauss;
gauss = new RooGaussian("gauss","gauss",*mZ,mean,sigma);
RooAddPdf *RelBWxCBxgauss;
RelBWxCBxgauss = new RooAddPdf("RelBWxCBxgauss","RelBWxCBxgauss", *RelBWxCB, *gauss, f1);
RooProdPdf *PDFRelBWxCBxgauss;
PDFRelBWxCBxgauss = new RooProdPdf("PDFRelBWxCBxgauss","PDFRelBWxCBxgauss",
RooArgList(gauss1_lep, gauss2_lep, *RelBWxCBxgauss) );
//make fit
RooArgSet *rastmp;
rastmp = new RooArgSet(pTRECO1_lep, pTRECO2_lep);
/*
if(input.nFsr == 1) {
rastmp = new RooArgSet(pTRECO1_lep, pTRECO2_lep, pTRECO1_gamma);
}
if(input.nFsr == 2) {
rastmp = new RooArgSet(pTRECO1_lep, pTRECO2_lep, pTRECO1_gamma, pTRECO2_gamma);
}
*/
RooDataSet* pTs = new RooDataSet("pTs","pTs", *rastmp);
pTs->add(*rastmp);
RooFitResult* r;
if (mass4lRECO_ > 140) {
r = PDFRelBW->fitTo(*pTs,RooFit::Save(),RooFit::PrintLevel(-1));
} else {
r = PDFRelBWxCBxgauss->fitTo(*pTs,RooFit::Save(),RooFit::PrintLevel(-1));
}
//save fit result
const TMatrixDSym& covMatrix = r->covarianceMatrix();
const RooArgList& finalPars = r->floatParsFinal();
for (int i=0 ; i<finalPars.getSize(); i++){
TString name = TString(((RooRealVar*)finalPars.at(i))->GetName());
if(debug_) cout<<"name list of RooRealVar for covariance matrix "<<name<<endl;
}
int size = covMatrix.GetNcols();
output.covMatrixZ.ResizeTo(size,size);
output.covMatrixZ = covMatrix;
output.pT1_lep = pTMean1_lep.getVal();
output.pT2_lep = pTMean2_lep.getVal();
output.pTErr1_lep = pTMean1_lep.getError();
output.pTErr2_lep = pTMean2_lep.getError();
/*
if (input.nFsr >= 1) {
output.pT1_gamma = pTMean1_gamma.getVal();
output.pTErr1_gamma = pTMean1_gamma.getError();
}
if (input.nFsr == 2) {
output.pT2_gamma = pTMean2_gamma.getVal();
output.pTErr2_gamma = pTMean2_gamma.getError();
}
*/
delete rastmp;
delete pTs;
delete PDFRelBW;
delete mZ;
delete RelBW;
delete RelBWxCB;
delete gauss;
delete RelBWxCBxgauss;
delete PDFRelBWxCBxgauss;
}