int main(int argc,char *argv[]){
char *name;
int i,j,ele;
double **mat1,*mat2;
name=(char *)malloc(sizeof(argv[1]));
if(name==NULL){
printf("errer:create field of name");
exit(1);
}
name=argv[1];
FILE *fp;
fp=fopen(name,"r");
if(fp==NULL){
printf("error:open file\n");
exit(1);
}
fscanf(fp,"%d",&ele);
mat1=(double **)malloc(sizeof(double *)*ele);
for(i=0;i<ele;i++)mat1[i]=(double *)malloc(sizeof(double)*ele);
if(mat1==NULL){
printf("errer:create field of mat1");
exit(1);
}
mat2=(double *)malloc(sizeof(double)*ele);
if(mat2==NULL){
printf("errer:create field of mat2");
exit(1);
}
for(i=0;i<ele;i++)for(j=0;j<ele;j++)fscanf(fp,"%lf",&mat1[i][j]);
for(i=0;i<ele;i++)fscanf(fp,"%lf",&mat2[i]);
gauss2(ele,mat1,mat2);
printf("\nAnswer:\n");
for(i=0;i<ele;i++)printf("%3.3f\n",mat2[i]);
printf("\n");
fclose(fp);
free(mat1);
free(mat2);
return 0;
}
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 BDT_cuts_norm(){
gROOT->ProcessLine(".L ~/cern/project/lhcbStyle.C");
lhcbStyle();
const std::string filename("/afs/cern.ch/work/a/apmorris/private/cern/ntuples/new_tuples/normalisation_samples/Lb2JpsipK_2011_2012_signal_withbdt.root");
const std::string treename = "withbdt";
const std::string filenameMC("/afs/cern.ch/work/a/apmorris/private/cern/ntuples/new_tuples/normalisation_samples/Lb2JpsipK_MC_2011_2012_norm_withbdt.root");
TFile* file = TFile::Open( filename.c_str() );
if( !file ) std::cout << "file " << filename << " does not exist" << std::endl;
TTree* tree = (TTree*)file->Get( treename.c_str() );
if( !tree ) std::cout << "tree " << treename << " does not exist" << std::endl;
TFile* fileMC = TFile::Open( filenameMC.c_str() );
if( !fileMC ) std::cout << "file " << filenameMC << " does not exist" << std::endl;
TTree* treeMC = (TTree*)fileMC->Get( treename.c_str() );
if( !treeMC ) std::cout << "tree " << treename << " does not exist" << std::endl;
// -- signal, mass shape
RooRealVar Lambda_b0_DTF_MASS_constr1("Lambda_b0_DTF_MASS_constr1","m(J/#psi pK^{-})", 5550., 5700., "MeV/c^{2}");
RooRealVar Jpsi_M("Jpsi_M","m(#mu#mu)", 3000., 3200., "MeV/c^{2}");
RooRealVar chi_c_M("chi_c_M","m(J/#psi#gamma)", 3400., 3700., "MeV/c^{2}");
RooRealVar mean("mean","mean", 5630., 5610., 5650.);
RooRealVar sigma1("sigma1","sigma1", 10., 1., 100.);
RooRealVar sigma2("sigma2","sigma2", 30.0, 5.0, 300.0);
RooRealVar alpha1("alpha1","alpha1", 1.0, 0.5, 5.0);
RooRealVar n1("n1","n1", 1.8, 0.2, 15.0);
RooRealVar alpha2("alpha2","alpha2", -0.5, -5.5, 0.0);
RooRealVar n2("n2","n2", 0.7, 0.2, 10.0);
//RooRealVar bkgcat_chic("bkgcat_chic","bkgcat_chic", 0, 100);
RooRealVar bdtg3("bdtg3", "bdtg3", -1.0, 1.0);
RooRealVar frac2("frac2","frac2", 0.3, 0., 1.);
RooGaussian gauss1("gauss1","gauss1", Lambda_b0_DTF_MASS_constr1, mean, sigma1);
RooGaussian gauss2("gauss2","gauss2", Lambda_b0_DTF_MASS_constr1, mean, sigma2);
RooCBShape cb1("cb1","cb1", Lambda_b0_DTF_MASS_constr1, mean, sigma1, alpha1, n1);
RooCBShape cb2("cb2","cb2", Lambda_b0_DTF_MASS_constr1, mean, sigma2, alpha2, n2);
RooAddPdf sig("sig", "sig", RooArgList(cb1, cb2), RooArgList( frac2 ));
RooRealVar cbRatio("cbRatio","cb Ratio", 0.8, 0.1, 1.0);
RooRealVar sigYield("sigYield","sig Yield", 4e2, 1e0, 1e6);
RooRealVar bgYield("bgYield","bg Yield", 1e4, 1e0, 1e6);
//put in values from fit_MC here <<--- DON'T FORGET TO CHANGE THESE IF THE FIT CHANGES!!!
/*
EXT PARAMETER INTERNAL INTERNAL
NO. NAME VALUE ERROR STEP SIZE VALUE
1 alpha1 2.18020e+00 2.85078e-02 1.38432e-04 -2.56034e-01
2 alpha2 -2.79102e+00 6.74385e-02 1.51818e-04 -1.49177e-02
3 cbRatio 3.07172e-01 1.49204e-02 1.72642e-04 -5.69984e-01
4 mean 5.61985e+03 9.58397e-03 5.56682e-05 -9.66293e-02
5 n1 1.49358e+00 8.14447e-02 2.09300e-04 -9.70542e-01
6 n2 1.45276e+00 1.09864e-01 2.59028e-04 -8.39538e-01
7 sigma1 8.46303e+00 1.32851e-01 2.86985e-05 -1.01453e+00
8 sigma2 4.93976e+00 3.42842e-02 5.03572e-06 -1.44512e+00
*/
alpha1.setVal( 2.18020e+00 );
alpha2.setVal( -2.79102e+00 );
n1.setVal( 1.49358e+00 );
n2.setVal( 1.45276e+00 );
frac2.setVal( 3.07172e-01 );
sigma1.setVal( 8.46303e+00 );
sigma2.setVal( 4.93976e+00 );
alpha1.setConstant( true );
alpha2.setConstant( true );
frac2.setConstant( true );
n1.setConstant( true );
n2.setConstant( true );
sigma1.setConstant( true );
sigma2.setConstant( true );
// -- bg, mass shape
RooRealVar a1("a1","a1", -0.1, -0.5, 0.5);
RooChebychev comb("comb","comb", Lambda_b0_DTF_MASS_constr1, a1);
RooRealVar mean3("mean3","mean3", 5560., 5500., 5600.);
RooRealVar sigma3("sigma3","sigma3", 5., 1., 10.);
RooRealVar frac3("frac3","frac", 0.2, 0.0, 0.3);
RooGaussian gauss3("gauss3","gauss3", Lambda_b0_DTF_MASS_constr1, mean3, sigma3);
//RooAddPdf bg("bg","bg", RooArgList(comb), RooArgList(frac3));
// -- add signal & bg
RooAddPdf pdf("pdf", "pdf", RooArgList(sig, comb), RooArgList( sigYield, bgYield));
double efficiencies1[40];
double efficiencies1_error[40];
double bdt_cuts[40];
double efficiencies2[40];
double efficiencies2_error[40];
double sideband_bg_val[40];
double MC_pre = treeMC->GetEntries();
double effvals[40];
//loop starting here
for(int i=0; i < 40; i=i+1) {
double cut_val = -1.0 + i*0.05;
//double cut_val = -1.0; // testing
bdt_cuts[i] = cut_val;
std::stringstream c;
c << "bdtg3" << " >= " << cut_val;
const std::string cut = c.str();
//std::cout << cut;
RooArgSet obs;
obs.add(Lambda_b0_DTF_MASS_constr1);
//obs.add(chi_c_Mp);
//obs.add(mass_pK);
obs.add(Jpsi_M);
obs.add(chi_c_M);
obs.add(bdtg3);
RooDataSet ds("ds","ds", obs, RooFit::Import(*tree), RooFit::Cut(cut.c_str()));
RooPlot* plot = Lambda_b0_DTF_MASS_constr1.frame();
RooFitResult * result = pdf.fitTo( ds, RooFit::Extended() );
double sig_val = sigYield.getVal();
double bg_val = bgYield.getVal();
double sig_error = sigYield.getError();
double bg_error = bgYield.getError();
double efficiency1 = (sig_val)/(sqrt(sig_val + bg_val));
efficiencies1[i] = efficiency1;
double efficiency1_error_sq = (pow(sig_error,2)/(sig_val+bg_val) + (pow(sig_val,2)*(pow(sig_error,2)+pow(bg_error,2))/(4*pow((sig_val+bg_val),3))));
double efficiency1_error = sqrt(efficiency1_error_sq);
efficiencies1_error[i] = efficiency1_error;
/*
double MC_post = treeMC->GetEntries(cut.c_str());
double eff_val = MC_post/MC_pre;
//something here to get the sideband background count
Lambda_b0_DTF_MASS_constr1.setRange("R", 5650., 5700.);
RooFitResult * sideband = bg.fitTo( ds, RooFit::Range("R") );
sideband->Print();
Lambda_b0_DTF_MASS_constr1.setRange("R", 5650., 5700.);
RooAbsReal* integral = pdf.createIntegral(Lambda_b0_DTF_MASS_constr1, RooFit::Range("R"));
//std::cout << integral->getVal() << std::endl;
//std::cout << integral->getError() << std::endl;
//Double_t sideband_bg_val = integral->getVal();
//double sideband_bg_error = integral->getError();
std::stringstream r;
r << "bdtg3" << " >= " << cut_val << " && Lambda_b0_DTF_MASS_constr1 >= 5650 && Lambda_b0_DTF_MASS_constr1 <= 5700";
const std::string cut2 = r.str();
double integ = tree->GetEntries(cut2.c_str());
//double integ = integral->getVal();
double efficiency2 = eff_val/(5./2. + sqrt(integ));
efficiencies2[i] = efficiency2;
effvals[i]=eff_val;
std::cout << "\n" << integ << std::endl;
std::cout << "\n" << eff_val << std::endl;
std::cout << "\n" << efficiency2 << std::endl;
*/
//double efficiency2_error = efficiency2*sqrt(pow(eff_error/eff_val,2)+(1/(4*sideband_bg_val))*pow(sideband_bg_error/(5/2+sideband_bg_val),2));
//std::cout << "\n\n" << "BDT cut value = " << cut_val << "\n" ;
//std::cout << "S = " << sig_val << " +/- " << sig_error << "\n" ;
//std::cout << "B = " << bg_val << " +/- " << bg_error << "\n" ;
//std::cout << "S/sqrt(S+B) = " << efficiency << " +/- " << efficiency_error << "\n\n" ;
//ds.plotOn( plot );
//pdf.plotOn( plot );
//RooPlot* plotPullMass = mass.frame();
//plotPullMass->addPlotable( plot->pullHist() );
//plotPullMass->SetMinimum();
//plotPullMass->SetMaximum();
//std::cout << cut_val;
}
TCanvas *c1 = new TCanvas();
//double zeros[20];
//for (i=0, i<20, i++) zeros[i]=0.0;
TGraphErrors* graph = new TGraphErrors(40, bdt_cuts, efficiencies1, 0, efficiencies1_error);
graph->SetTitle("S/sqrt(S+B) vs BDTG3 cut");
//graph->SetMarkerColor(4);
//graph->SetMarkerStyle(20);
//graph->SetMarkerSize(1.0);
graph->GetXaxis()->SetTitle("BDTG3 cut (>)");
graph->GetXaxis()->SetRangeUser(-1.0,1.0);
graph->GetYaxis()->SetTitle("S/sqrt(S+B)");
//graph->Fit("pol5");
graph->Draw("AP");
c1->SaveAs("~/cern/plots/bdt_cuts_norm/Lb2JpsipK_2011_2012_BDTG3_cuts_S_sqrtS+B.pdf");
//return c1;
//std::cout << efficiencies1_error[5] << std::endl;
//gStyle->SetOptFit(1011);
/*TCanvas *c2 = new TCanvas();
TGraph* graph2 = new TGraph(40, bdt_cuts, efficiencies2);
graph2->SetTitle("eff/[5/2+sqrt(B)] vs BDTG3 cut");
graph2->SetMarkerColor(4);
graph2->SetMarkerStyle(20);
graph2->SetMarkerSize(1.0);
graph2->GetXaxis()->SetTitle("BDTG3 cut (>)");
graph2->GetXaxis()->SetRangeUser(-1.0,1.0);
graph2->GetYaxis()->SetTitle("eff/[5/2+sqrt(B)]");
//graph2->Fit("pol7");
graph2->Draw("AP");
c2->SaveAs("~/cern/plots/bdt_cuts_norm/Lb2JpsipK_2011_2012_BDTG3_cuts_Punzi.png");
//return c2;
*/
/*
TCanvas* c = new TCanvas();
TPad* pad1 = new TPad("pad1","pad1", 0, 0.3, 1, 1.0);
pad1->SetBottomMargin(0.1);
pad1->SetTopMargin(0.1);
pad1->Draw();
c->cd();
TPad* pad2 = new TPad("pad2","pad2", 0, 0, 1, 0.3);
pad2->SetBottomMargin(0.1);
pad2->SetTopMargin(0.0);
pad2->Draw();
//pdf.plotOn( plot, RooFit::Components( DfbPdf ), RooFit::LineColor( kRed ), RooFit::LineStyle(kDashed) );
//pdf.plotOn( plot, RooFit::Components( promptPdf ), RooFit::LineColor( kBlue ), RooFit::LineStyle(kDotted) );
//pdf.plotOn( plot, RooFit::Components( bgPdf ), RooFit::LineColor( kOrange ), RooFit::LineStyle(kDashDotted) );
pad1->cd();
plot->Draw();
pad2->cd();
plotPullMass->Draw("AP");
c->SaveAs(out_file_mass);
RooStats::SPlot* sData = new RooStats::SPlot("sData","An SPlot",
ds, &pdf, RooArgList(sigYield, bgYield) );
RooDataSet * dataw_z = new RooDataSet(ds.GetName(),ds.GetTitle(),&ds,*(ds.get()),0,"sigYield_sw") ;
*/
/*
TCanvas* d = new TCanvas();
RooPlot* w_mass_chicp = mass_chicp.frame();
dataw_z->plotOn(w_mass_chicp, RooFit::DataError(RooAbsData::SumW2), RooFit::Binning(20)) ;
w_mass_chicp->Draw();
d->SaveAs("m_chicp_sweighted.png");
TCanvas* e = new TCanvas();
RooPlot* w_mass_pK = mass_pK.frame();
dataw_z->plotOn(w_mass_pK, RooFit::DataError(RooAbsData::SumW2), RooFit::Binning(20)) ;
w_mass_pK->Draw();
e->SaveAs("m_pK_sweighted.png");
*/
/*
TCanvas* f = new TCanvas();
RooPlot* w_mass_Jpsi = mass_Jpsi.frame();
dataw_z->plotOn(w_mass_Jpsi, RooFit::DataError(RooAbsData::SumW2), RooFit::Binning(20)) ;
w_mass_Jpsi->Draw();
f->SaveAs("m_Jpsi_sweighted.png");
TCanvas* g = new TCanvas();
RooPlot* w_mass_Chic = mass_Chic.frame();
dataw_z->plotOn(w_mass_Chic, RooFit::DataError(RooAbsData::SumW2), RooFit::Binning(20)) ;
w_mass_Chic->Draw();
g->SaveAs("m_Chic_sweighted.png");
*/
}
void fit_MC_norm(std::string input_file = "/afs/cern.ch/work/a/apmorris/private/cern/ntuples/new_tuples/normalisation_samples/reduced_Lb2JpsipK_MC_2011_2012_norm.root", std::string out_file_mass = "~/cern/plots/fitting/Lb2JpsipK_MC_2011_2012_cut_mass_fit.png"){
//
gROOT->ProcessLine(".L ~/cern/scripts/lhcbStyle.C");
//lhcbStyle();
const std::string filename(input_file.c_str());
const std::string treename = "DecayTree";
TFile* file = TFile::Open( filename.c_str() );
if( !file ) std::cout << "file " << filename << " does not exist" << std::endl;
TTree* tree = (TTree*)file->Get( treename.c_str() );
if( !tree ) std::cout << "tree " << treename << " does not exist" << std::endl;
// -- signal, mass shape
RooRealVar Lambda_b0_DTF_MASS_constr1("Lambda_b0_DTF_MASS_constr1","m(J/#psi pK^{-})", 5450., 5850., "MeV/c^{2}");
RooRealVar Jpsi_M("Jpsi_M","m(#mu#mu)", 3000., 3200., "MeV/c^{2}");
//RooRealVar chi_c_M("chi_c_M","m(J/#psi#gamma)", 3350., 3750., "MeV/c^{2}");
RooRealVar mean("mean","mean", 5620., 5595., 5650.);
RooRealVar sigma1("sigma1","sigma1", 10., 1., 100.);
RooRealVar sigma2("sigma2","sigma2", 100., 1., 1000.);
RooRealVar alpha1("alpha1","alpha1", 1.0, 0.5, 5.0);
RooRealVar n1("n1","n1", 1.8, 0.2, 15.0);
RooRealVar alpha2("alpha2","alpha2", -0.5, -5.5, 0.0);
RooRealVar n2("n2","n2", 0.7, 0.2, 10.0);
//RooRealVar bkgcat_chic("bkgcat_chic","bkgcat_chic", 0, 100);
RooGaussian gauss1("gauss1","gauss1", Lambda_b0_DTF_MASS_constr1, mean, sigma1);
RooGaussian gauss2("gauss2","gauss2", Lambda_b0_DTF_MASS_constr1, mean, sigma2);
RooCBShape cb1("cb1","cb1", Lambda_b0_DTF_MASS_constr1, mean, sigma1, alpha1, n1);
RooCBShape cb2("cb2","cb2", Lambda_b0_DTF_MASS_constr1, mean, sigma2, alpha2, n2);
/*
// the chi_c2 component
RooRealVar mean3("mean3","mean3", 5570., 5520., 5580.);
RooRealVar sigma3("sigma3","sigma3", 10., 1., 20.);
RooGaussian gauss3("gauss3","gauss3", Lambda_b0_DTF_MASS_constr1, mean3, sigma3);
*/
RooRealVar cbRatio("cbRatio","cbRatio", 0.8, 0.1, 1.0);
RooRealVar frac2("frac2","frac2", 0.3, 0., 1.);
/*
alpha1.setVal( 2.1 );
alpha2.setVal( -4.9 );
n1.setVal( 3.2 );
n2.setVal( 7.9 );
cbRatio.setVal( 0.6808 );
alpha1.setConstant( true );
alpha2.setConstant( true );
cbRatio.setConstant( true );
n1.setConstant( true );
n2.setConstant( true );
*/
// -- add signal & bg
//RooAddPdf pdf("pdf", "pdf", RooArgList(gauss1, gauss2), RooArgList( frac2 ));
RooAddPdf pdf("pdf", "pdf", RooArgList(cb1, cb2), RooArgList( cbRatio ));
RooArgSet obs;
obs.add(Lambda_b0_DTF_MASS_constr1);
obs.add(Jpsi_M);
//obs.add(chi_c_M);
//obs.add(bkgcat_chic);
RooDataSet ds("ds","ds", obs, RooFit::Import(*tree));
//RooFit::Cut("Lambda_b0_DTF_MASS_constr1 > 5580")
RooPlot* plot = Lambda_b0_DTF_MASS_constr1.frame();
plot->SetAxisRange(5500., 5750.);
pdf.fitTo( ds );
ds.plotOn( plot, RooFit::Binning(200) );
pdf.plotOn( plot );
//gauss3.plotOn( plot );
RooPlot* plotPullMass = Lambda_b0_DTF_MASS_constr1.frame();
plotPullMass->addPlotable( plot->pullHist() );
//plotPullMass->SetMinimum();
//plotPullMass->SetMaximum();
plotPullMass->SetAxisRange(5500., 5750.);
TCanvas* c = new TCanvas();
c->cd();
TPad* pad1 = new TPad("pad1","pad1", 0, 0.3, 1, 1.0);
pad1->SetBottomMargin(0.1);
pad1->SetTopMargin(0.1);
pad1->Draw();
//TPad* pad2 = new TPad("pad2","pad2", 0, 0.05, 1, 0.4);
TPad* pad2 = new TPad("pad2","pad2", 0, 0, 1, 0.3);
pad2->SetBottomMargin(0.1);
pad2->SetTopMargin(0.0);
pad2->Draw();
pdf.plotOn( plot, RooFit::Components( cb1 ), RooFit::LineColor( kRed ), RooFit::LineStyle(kDashed) );
pdf.plotOn( plot, RooFit::Components( cb2 ), RooFit::LineColor( kOrange ), RooFit::LineStyle(kDotted) );
//pdf.plotOn( plot, RooFit::Components( bgPdf ), RooFit::LineColor( kBlue ), RooFit::LineStyle(kDashDotted) );
pad1->cd();
//pad1->SetLogy();
plot->Draw();
pad2->cd();
plotPullMass->Draw("AP");
c->SaveAs(out_file_mass.c_str());
}
float height_distribution(float x, float y, float z)
{
float base_height = (1 - exp(-50 * y)) * exp(-4 * y);
float tower_height = gauss2(0.4, x, z, 0.2, 0.3, 0.001, 0.004) + gauss2(0.4, x, z, 0.6, 0.4, 0.008, 0.01) + gauss2(0.2, x, z, 0.3, 0.8, 0.008, 0.002);
return base_height + tower_height;
}
void fit_and_weights_norm(){
gROOT->ProcessLine(".x ~/cern/scripts/lhcbStyle.C");
//lhcbStyle();
gStyle->SetLabelSize(0.05,"x");
gStyle->SetLabelSize(0.05,"y");
gStyle->SetTitleSize(0.05,"x");
gStyle->SetPaperSize(20,26);
gStyle->SetPadTopMargin(0.0);
gStyle->SetPadRightMargin(0.05); // increase for colz plots
gStyle->SetPadBottomMargin(0.0);
gStyle->SetPadLeftMargin(0.14);
gStyle->SetTitleH(0.01);
//
const std::string filename("/afs/cern.ch/work/a/apmorris/private/cern/ntuples/new_tuples/normalisation_samples/Lb2JpsipK_2011_2012_signal_withbdt_cut_05.root");
const std::string treename = "withbdt";
const std::string out_file_mass("~/cern/plots/fitting/Lb2JpsipK_2011_2012_mass_fit_after_bdtg3_05.png");
//
TFile* file = TFile::Open( filename.c_str() );
if( !file ) std::cout << "file " << filename << " does not exist" << std::endl;
TTree* tree = (TTree*)file->Get( treename.c_str() );
if( !tree ) std::cout << "tree " << treename << " does not exist" << std::endl;
// -- signal, mass shape
RooRealVar Lambda_b0_DTF_MASS_constr1("Lambda_b0_DTF_MASS_constr1","m(#chi_{c}pK^{-})", 5550., 5700., "MeV/c^{2}");
RooRealVar Jpsi_M("Jpsi_M","m(#mu#mu)", 3000., 3200., "MeV/c^{2}");
//RooRealVar chi_c_M("chi_c_M","m(J/#psi#gamma)", 3400., 3700., "MeV/c^{2}");
RooRealVar mean("mean","mean", 5630., 5610., 5650.);
RooRealVar sigma1("sigma1","sigma1", 10., 1., 100.);
RooRealVar sigma2("sigma2","sigma2", 30.0, 5.0, 300.0);
RooRealVar alpha1("alpha1","alpha1", 1.0, 0.5, 5.0);
RooRealVar n1("n1","n1", 1.8, 0.2, 15.0);
RooRealVar alpha2("alpha2","alpha2", -0.5, -5.5, 0.0);
RooRealVar n2("n2","n2", 0.7, 0.2, 10.0);
//RooRealVar bkgcat_chic("bkgcat_chic","bkgcat_chic", 0, 100);
RooRealVar bdtg3("bdtg3", "bdtg3", -1.0, 1.0); //
RooRealVar frac2("frac2","frac2", 0.3, 0., 1.);
Lambda_b0_DTF_MASS_constr1.setBins(75);
RooGaussian gauss1("gauss1","gauss1", Lambda_b0_DTF_MASS_constr1, mean, sigma1);
RooGaussian gauss2("gauss2","gauss2", Lambda_b0_DTF_MASS_constr1, mean, sigma2);
RooCBShape cb1("cb1","cb1", Lambda_b0_DTF_MASS_constr1, mean, sigma1, alpha1, n1);
RooCBShape cb2("cb2","cb2", Lambda_b0_DTF_MASS_constr1, mean, sigma2, alpha2, n2);
RooAddPdf sig("sig", "sig", RooArgList(cb1, cb2), RooArgList( frac2 ));
RooRealVar cbRatio("cbRatio","cb Ratio", 0.8, 0.1, 1.0);
RooRealVar sigYield("sigYield","sig Yield", 4e2, 1e1, 1e4);
RooRealVar bgYield("bgYield","bg Yield", 1e2, 1e0, 5e5);
//put in values from fit_MC here <<--- DON'T FORGET TO CHANGE THESE IF THE FIT CHANGES!!!
/*
EXT PARAMETER INTERNAL INTERNAL
NO. NAME VALUE ERROR STEP SIZE VALUE
1 alpha1 1.74154e+00 3.36750e-02 1.24897e-04 -4.64754e-01
2 alpha2 -2.02379e+00 6.38694e-02 1.18078e-04 2.87434e+00
3 cbRatio 3.81630e-01 2.53217e-02 1.04396e-03 -3.83487e-01
4 mean 5.61983e+03 1.06900e-02 5.57074e-05 -9.73350e-02
5 n1 3.61886e+00 1.29299e-01 2.50836e-04 -5.68053e-01
6 n2 3.28978e+00 1.59452e-01 3.00100e-04 -3.78398e-01
7 sigma1 7.37006e+00 1.49989e-01 2.60360e-05 -1.05787e+00
8 sigma2 4.90330e+00 4.88847e-02 5.78092e-06 -1.44570e+00
*/
alpha1.setVal( 1.74154e+00 );
alpha2.setVal( -2.02379e+00 );
n1.setVal( 3.61886e+00 );
n2.setVal( 3.28978e+00 );
frac2.setVal( 3.81630e-01 );
sigma1.setVal( 7.37006e+00 );
sigma2.setVal( 4.90330e+00 );
alpha1.setConstant( true );
alpha2.setConstant( true );
frac2.setConstant( true );
n1.setConstant( true );
n2.setConstant( true );
sigma1.setConstant( true );
sigma2.setConstant( true );
// -- bg, mass shape
RooRealVar a1("a1","a1", -0.1, -0.5, 0.5);
RooChebychev comb("comb","comb", Lambda_b0_DTF_MASS_constr1, a1);
RooRealVar mean3("mean3","mean3", 5560., 5500., 5600.);
RooRealVar sigma3("sigma3","sigma3", 5., 1., 10.);
RooRealVar frac3("frac3","frac", 0.2, 0.0, 0.3);
RooGaussian gauss3("gauss3","gauss3", Lambda_b0_DTF_MASS_constr1, mean3, sigma3);
RooAddPdf bg("bg","bg", RooArgList(gauss3, comb), RooArgList(frac3));
// -- add signal & bg
RooAddPdf pdf("pdf", "pdf", RooArgList(sig, comb), RooArgList( sigYield, bgYield));
RooArgSet obs;
obs.add(Lambda_b0_DTF_MASS_constr1);
obs.add(Jpsi_M);
//obs.add(chi_c_M);
//obs.add(proton_ProbNNp);
//obs.add(proton_ProbNNk);
//obs.add(kaon_ProbNNp);
//obs.add(kaon_ProbNNk);
RooDataSet ds("ds","ds", obs, RooFit::Import(*tree));
RooPlot* plot = Lambda_b0_DTF_MASS_constr1.frame();
RooFitResult * result = pdf.fitTo( ds, RooFit::Extended() );
ds.plotOn( plot );
pdf.plotOn( plot );
RooPlot* plotPullMass = Lambda_b0_DTF_MASS_constr1.frame();
plotPullMass->addPlotable( plot->pullHist() );
//plotPullMass->SetMinimum();
//plotPullMass->SetMaximum();
TCanvas* c = new TCanvas();
TPad* pad1 = new TPad("pad1","pad1", 0, 0.3, 1, 1.0);
pad1->SetBottomMargin(0.0);
pad1->SetTopMargin(0.01);
pad1->Draw();
c->cd();
TPad* pad2 = new TPad("pad2","pad2", 0, 0., 1, 0.3);
pad2->SetBottomMargin(0.0);
pad2->SetTopMargin(0.0);
pad2->Draw();
pdf.plotOn( plot, RooFit::Components( sig ), RooFit::LineColor( kTeal ), RooFit::LineStyle(kDashed) );
pdf.plotOn( plot, RooFit::Components( comb ), RooFit::LineColor( kOrange ), RooFit::LineStyle(kDashed) );
pdf.plotOn( plot, RooFit::Components( gauss3 ), RooFit::LineColor( kViolet ), RooFit::LineStyle(kDashed) );
pad1->cd();
plot->Draw();
pad2->cd();
plotPullMass->Draw("AP");
c->SaveAs(out_file_mass.c_str());
/*
RooStats::SPlot* sData = new RooStats::SPlot("sData","An SPlot",
ds, &pdf, RooArgList(sigYield, bgYield) );
RooDataSet * dataw_z = new RooDataSet(ds.GetName(),ds.GetTitle(),&ds,*(ds.get()),0,"sigYield_sw") ;
TTree *tree_data = (TTree*)dataw_z->tree();
TFile * newfile = TFile::Open("/afs/cern.ch/work/a/apmorris/private/cern/ntuples/new_tuples/weighted_data.root","RECREATE");
tree_data->Write();
newfile->Close();
*/
/*
TCanvas* d = new TCanvas();
RooPlot* w_chi_c_Mp = chi_c_Mp.frame();
dataw_z->plotOn(w_chi_c_Mp, RooFit::DataError(RooAbsData::SumW2), RooFit::Binning(20)) ;
w_chi_c_Mp->Draw();
d->SaveAs("m_chicp_sweighted.png");
TCanvas* e = new TCanvas();
RooPlot* w_mass_pK = mass_pK.frame();
dataw_z->plotOn(w_mass_pK, RooFit::DataError(RooAbsData::SumW2), RooFit::Binning(20)) ;
w_mass_pK->Draw();
e->SaveAs("m_pK_sweighted.png");
*/
/*
TCanvas* f = new TCanvas();
RooPlot* w_Jpsi_M = Jpsi_M.frame();
dataw_z->plotOn(w_Jpsi_M, RooFit::DataError(RooAbsData::SumW2), RooFit::Binning(20)) ;
w_Jpsi_M->Draw();
f->SaveAs("~/cern/plots/m_Jpsi_sweighted.png");
TCanvas* g = new TCanvas();
RooPlot* w_chi_c_M = chi_c_M.frame();
dataw_z->plotOn(w_chi_c_M, RooFit::DataError(RooAbsData::SumW2), RooFit::Binning(20)) ;
w_chi_c_M->Draw();
g->SaveAs("~/cern/plots/m_Chic_sweighted.png");
*/
}
void fit_and_weights_norm(){
gROOT->ProcessLine(".L ~/cern/project/lhcbStyle.C");
lhcbStyle();
/*gStyle->SetLabelSize(0.05,"x");
gStyle->SetLabelSize(0.05,"y");
gStyle->SetTitleSize(0.05,"x");
gStyle->SetPaperSize(20,26);
gStyle->SetPadTopMargin(0.0);
gStyle->SetPadRightMargin(0.05); // increase for colz plots
gStyle->SetPadBottomMargin(0.0);
gStyle->SetPadLeftMargin(0.14);
gStyle->SetTitleH(0.01);*/
//
const std::string filename("/afs/cern.ch/work/a/apmorris/private/cern/ntuples/new_tuples/normalisation_samples/Lb2JpsipK_2011_2012_signal_withbdt.root");
const std::string treename = "withbdt";
const std::string out_file_mass("~/cern/plots/fitting/Lb2JpsipK_2011_2012_mass_fit_after_bdtg3_cut_-055.pdf");
//
const std::string cuts("bdtg3>=-0.55");
TFile* file = TFile::Open( filename.c_str() );
if( !file ) std::cout << "file " << filename << " does not exist" << std::endl;
TTree* tree = (TTree*)file->Get( treename.c_str() );
if( !tree ) std::cout << "tree " << treename << " does not exist" << std::endl;
TTree* rTree1 = tree->CopyTree( cuts.c_str() );
// -- signal, mass shape
RooRealVar Lambda_b0_DTF_MASS_constr1("Lambda_b0_DTF_MASS_constr1","m(J/#psi p K^{-})", 5550., 5700., "MeV/c^{2}");
RooRealVar Jpsi_M("Jpsi_M","m(#mu#mu)", 3000., 3200., "MeV/c^{2}");
//RooRealVar chi_c_M("chi_c_M","m(J/#psi#gamma)", 3400., 3700., "MeV/c^{2}");
RooRealVar mean("mean","mean", 5620., 5600., 5650.);
RooRealVar sigma1("sigma1","sigma1", 10., 1., 100.);
RooRealVar sigma2("sigma2","sigma2", 5.0, 1.0, 300.0);
RooRealVar sigmaT("sigmaT", "sigmaT", 1.9, 1., 100.);
RooRealVar alpha1("alpha1","alpha1", 1.0, 0.5, 5.0);
RooRealVar n1("n1","n1", 1.5, 0.2, 15.0);
RooRealVar alpha2("alpha2","alpha2", -0.5, -5.5, 0.0);
RooRealVar n2("n2","n2", 1.5, 0.2, 10.0);
RooRealVar nu("nu", "nu", 2., 0.7, 100.);
//RooRealVar bkgcat_chic("bkgcat_chic","bkgcat_chic", 0, 100);
RooRealVar bdtg3("bdtg3", "bdtg3", -1.0, 1.0); //
RooRealVar frac2("frac2","frac2", 0.3, 0., 1.);
Lambda_b0_DTF_MASS_constr1.setBins(75);
RooGaussian gauss1("gauss1","gauss1", Lambda_b0_DTF_MASS_constr1, mean, sigma1);
RooGaussian gauss2("gauss2","gauss2", Lambda_b0_DTF_MASS_constr1, mean, sigma2);
RooCBShape cb1("cb1","cb1", Lambda_b0_DTF_MASS_constr1, mean, sigma1, alpha1, n1);
RooCBShape cb2("cb2","cb2", Lambda_b0_DTF_MASS_constr1, mean, sigma2, alpha2, n2);
//RooStudentT * student = new RooStudentT("student", "student", Lambda_b0_DTF_MASS_constr1, mean, sigmaT, nu);
RooAddPdf sig("sig", "sig", RooArgList(cb1, cb2), RooArgList( frac2 ));
RooRealVar cbRatio("cbRatio","cb Ratio", 0.3, 0.1, 1.0);
RooRealVar sigYield("sigYield","sig Yield", 4e2, 1e1, 1e5);
RooRealVar bgYield("bgYield","bg Yield", 1e2, 1e0, 5e5);
//put in values from fit_MC here <<--- DON'T FORGET TO CHANGE THESE IF THE FIT CHANGES!!!
/*
EXT PARAMETER INTERNAL INTERNAL
NO. NAME VALUE ERROR STEP SIZE VALUE
1 alpha1 2.18020e+00 2.85078e-02 1.38432e-04 -2.56034e-01
2 alpha2 -2.79102e+00 6.74385e-02 1.51818e-04 -1.49177e-02
3 cbRatio 3.07172e-01 1.49204e-02 1.72642e-04 -5.69984e-01
4 mean 5.61985e+03 9.58397e-03 5.56682e-05 -9.66293e-02
5 n1 1.49358e+00 8.14447e-02 2.09300e-04 -9.70542e-01
6 n2 1.45276e+00 1.09864e-01 2.59028e-04 -8.39538e-01
7 sigma1 8.46303e+00 1.32851e-01 2.86985e-05 -1.01453e+00
8 sigma2 4.93976e+00 3.42842e-02 5.03572e-06 -1.44512e+00
4 mean 5.62097e+03 4.02152e-02 6.00497e-04 3.08772e-01
5 sigYield 3.52933e+04 2.55400e+02 1.54032e-03 -1.69958e-02
6 sigma1 1.22322e+01 1.10970e+00 2.87462e-03 1.63838e-01
7 sigma2 5.54047e+00 1.41829e-01 1.08300e-03 -1.28653e-01
*/
mean.setVal(5.62097e+03);
sigma1.setVal(1.22322e+01);
sigma2.setVal(5.54047e+00);
mean.setConstant(true);
sigma1.setConstant(true);
sigma2.setConstant(true);
//alpha1.setVal( 2.18020e+00 );
//alpha2.setVal( -2.79102e+00 );
//n1.setVal( 1.49358e+00 );
//n2.setVal( 1.45276e+00 );
//frac2.setVal( 3.81630e-01 );
//sigma1.setVal( 7.37006e+00 );
//sigma2.setVal( 4.90330e+00 );
//double gauss
//alpha1.setVal( 2.18020e+00 );
//alpha2.setVal( -2.79102e+00 );
//n1.setVal( 1.49358e+00 );
//n2.setVal( 1.45276e+00 );
//alpha1.setConstant( true );
//alpha2.setConstant( true );
//frac2.setConstant( true );
//n1.setConstant( true );
//n2.setConstant( true );
//sigma1.setConstant( true );
//sigma2.setConstant( true );
// -- bg, mass shape
RooRealVar a1("a1","a1", -0.1, -0.5, 0.5);
RooExponential exp("exp", "exp", Lambda_b0_DTF_MASS_constr1, a1);
RooChebychev comb("comb","comb", Lambda_b0_DTF_MASS_constr1, a1);
RooRealVar mean3("mean3","mean3", 5560., 5500., 5600.);
RooRealVar sigma3("sigma3","sigma3", 5., 1., 100.);
RooRealVar frac3("frac3","frac", 0.2, 0.0, 0.3);
RooGaussian gauss3("gauss3","gauss3", Lambda_b0_DTF_MASS_constr1, mean3, sigma3);
//RooAddPdf bg("bg","bg", RooArgList(gauss3, comb), RooArgList(frac3));
// -- add signal & bg
RooAddPdf pdf("pdf", "pdf", RooArgList(sig, comb), RooArgList( sigYield, bgYield));
RooArgSet obs;
obs.add(Lambda_b0_DTF_MASS_constr1);
obs.add(Jpsi_M);
//obs.add(chi_c_M);
//obs.add(proton_ProbNNp);
//obs.add(proton_ProbNNk);
//obs.add(kaon_ProbNNp);
//obs.add(kaon_ProbNNk);
RooDataSet ds("ds","ds", obs, RooFit::Import(*rTree1));
RooPlot* plot = Lambda_b0_DTF_MASS_constr1.frame();
RooFitResult * result = pdf.fitTo( ds, RooFit::Extended() );
ds.plotOn( plot );
pdf.plotOn( plot );
RooPlot* plotPullMass = Lambda_b0_DTF_MASS_constr1.frame();
plotPullMass->addPlotable( plot->pullHist() );
//plotPullMass->SetMinimum();
//plotPullMass->SetMaximum();
TCanvas* c = new TCanvas();
TPad* pad1 = new TPad("pad1","pad1", 0, 0.3, 1, 0.95);
//pad1->SetBottomMargin(0.1);
//pad1->SetTopMargin(0.1);
pad1->Draw();
//TPad* pad2 = new TPad("pad2","pad2", 0, 0.05, 1, 0.4);
TPad* pad2 = new TPad("pad2","pad2", 0, 0.05, 1, 0.3);
pad2->Draw();
plotPullMass->GetXaxis()->SetLabelSize(0.1);
plotPullMass->GetYaxis()->SetLabelSize(0.1);
plotPullMass->GetXaxis()->SetTitleSize(0.1);
plotPullMass->GetYaxis()->SetTitleSize(0.1);
//pdf.plotOn( plot, RooFit::Components( sig ), RooFit::LineColor( kTeal ), RooFit::LineStyle(kDashed) );
pdf.plotOn( plot, RooFit::Components( comb ), RooFit::LineColor( kOrange ), RooFit::LineStyle(kDashed) );
//pdf.plotOn( plot, RooFit::Components( gauss3 ), RooFit::LineColor( kViolet ), RooFit::LineStyle(kDashed) );
pad1->cd();
plot->Draw();
pad2->cd();
plotPullMass->Draw("AP");
c->SaveAs(out_file_mass.c_str());
std::cout << rTree1->GetEntries() << " events with the following cut applied: " << cuts.c_str() << std::endl;
/*
RooStats::SPlot* sData = new RooStats::SPlot("sData","An SPlot",
ds, &pdf, RooArgList(sigYield, bgYield) );
RooDataSet * dataw_z = new RooDataSet(ds.GetName(),ds.GetTitle(),&ds,*(ds.get()),0,"sigYield_sw") ;
TTree *tree_data = (TTree*)dataw_z->tree();
TFile * newfile = TFile::Open("/afs/cern.ch/work/a/apmorris/private/cern/ntuples/new_tuples/weighted_data.root","RECREATE");
tree_data->Write();
newfile->Close();
*/
/*
TCanvas* d = new TCanvas();
RooPlot* w_chi_c_Mp = chi_c_Mp.frame();
dataw_z->plotOn(w_chi_c_Mp, RooFit::DataError(RooAbsData::SumW2), RooFit::Binning(20)) ;
w_chi_c_Mp->Draw();
d->SaveAs("m_chicp_sweighted.png");
TCanvas* e = new TCanvas();
RooPlot* w_mass_pK = mass_pK.frame();
dataw_z->plotOn(w_mass_pK, RooFit::DataError(RooAbsData::SumW2), RooFit::Binning(20)) ;
w_mass_pK->Draw();
e->SaveAs("m_pK_sweighted.png");
*/
/*
TCanvas* f = new TCanvas();
RooPlot* w_Jpsi_M = Jpsi_M.frame();
dataw_z->plotOn(w_Jpsi_M, RooFit::DataError(RooAbsData::SumW2), RooFit::Binning(20)) ;
w_Jpsi_M->Draw();
f->SaveAs("~/cern/plots/m_Jpsi_sweighted.png");
TCanvas* g = new TCanvas();
RooPlot* w_chi_c_M = chi_c_M.frame();
dataw_z->plotOn(w_chi_c_M, RooFit::DataError(RooAbsData::SumW2), RooFit::Binning(20)) ;
w_chi_c_M->Draw();
g->SaveAs("~/cern/plots/m_Chic_sweighted.png");
*/
}
