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HighMass-HggFitter_mgg_Bias.cc
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/** \macro H2GGFitter.cc
*
* The analysis root trees produced in a simple format
*
* TFile file(filename,"RECREATE", "X->jj input tree for unbinned maximum-likelihood fit");
* TTree* outTree = new TTree("XTojj","X->jj input tree for unbinned maximum-likelihood fit");
* Float_t mass;
* Int_t CAT3;
* Float_t weight;
*
* outTree->Branch("mass",&mass,"mass/F");
* outTree->Branch("weight",&weight,"weight/F");
* outTree->Branch("CAT4",&CAT4,"CAT4/I");
* {
* .............
* outTree->Fill();
* }
*
* file.Write();
* file.Close();
* delete outTree;
*
* are used as input files. They have to be produced for
* data and Monte Carlo signal and background data sets
* after all analysis selections to be applied. *
*/
// Loading: .L HH2ggbbFitter.cc
// Running: runfits("hgg120-shapes-combined-Unbinned.root")
//
using namespace RooFit;
using namespace RooStats ;
Int_t MINmass= 130;
Int_t MAXmass= 1000;
static const Int_t NCAT = 4; // chiara
std::string filePOSTfix="";
double signalScaler=1.00;
void AddSigData(RooWorkspace*, Float_t);
void AddBkgData(RooWorkspace*, Float_t);
void SigModelFitGauss(RooWorkspace*, Float_t);
void SigModelFitCBC(RooWorkspace*, Float_t);
RooHistFunc* getRooHistFunc(int cat, RooRealVar* var);
void SigModelResponseFcnFit(RooWorkspace*);
void SigModelFitConvBW(RooWorkspace*, Float_t, Double_t);
RooFitResult* BkgModelFitBernstein(RooWorkspace*, Bool_t, Float_t, bool);
RooFitResult* BkgModelFitDiJetFunc(RooWorkspace*, Bool_t, Float_t, bool);
RooFitResult* BkgModelFitLauFunc(RooWorkspace*, Bool_t, Float_t, bool);
RooFitResult* BkgModelFitExpolFunc(RooWorkspace*, Bool_t, Float_t, bool);
void SetConstantParams(const RooArgSet* params);
TPaveText* get_labelCMS( int legendQuadrant = 0 , std::string year="2012", bool sim=false) {
if( legendQuadrant!=0 && legendQuadrant!=1 && legendQuadrant!=2 && legendQuadrant!=3 ) {
std::cout << "WARNING! Legend quadrant '" << legendQuadrant << "' not yet implemented for CMS label. Using 2." << std::endl;
legendQuadrant = 2;
}
float x1, y1, x2, y2;
if( legendQuadrant==1 ) {
x1 = 0.63;
y1 = 0.83;
x2 = 0.8;
y2 = 0.87;
} else if( legendQuadrant==2 ) {
x1 = 0.25;
y1 = 0.83;
x2 = 0.42;
y2 = 0.87;
} else if( legendQuadrant==3 ) {
x1 = 0.25;
y1 = 0.2;
x2 = 0.42;
y2 = 0.24;
} else if( legendQuadrant==0 ) {
x1 = 0.175;
y1 = 0.953;
x2 = 0.6;
y2 = 0.975;
}
TPaveText* cmslabel = new TPaveText( x1, y1, x2, y2, "brNDC" );
cmslabel->SetFillColor(kWhite);
cmslabel->SetTextSize(0.038);
if( legendQuadrant==0 ) cmslabel->SetTextAlign(11);
cmslabel->SetTextSize(0.038);
cmslabel->SetTextFont(42);
std::string leftText;
if (sim) leftText = "CMS Simulation"; //cwr ->remove 2011
else {
leftText = "CMS Preliminary, 19.5 fb^{-1}";
}
cmslabel->AddText(leftText.c_str());
return cmslabel;
}
TPaveText* get_labelSqrt( int legendQuadrant ) {
if( legendQuadrant!=0 && legendQuadrant!=1 && legendQuadrant!=2 && legendQuadrant!=3 ) {
std::cout << "WARNING! Legend quadrant '" << legendQuadrant << "' not yet implemented for Sqrt label. Using 2." << std::endl;
legendQuadrant = 2;
}
float x1, y1, x2, y2;
if( legendQuadrant==1 ) {
x1 = 0.63;
y1 = 0.78;
x2 = 0.8;
y2 = 0.82;
} else if( legendQuadrant==2 ) {
x1 = 0.25;
y1 = 0.78;
x2 = 0.42;
y2 = 0.82;
} else if( legendQuadrant==3 ) {
x1 = 0.25;
y1 = 0.16;
x2 = 0.42;
y2 = 0.2;
} else if( legendQuadrant==0 ) {
x1 = 0.65;
y1 = 0.953;
x2 = 0.87;
y2 = 0.975;
}
TPaveText* label_sqrt = new TPaveText(x1,y1,x2,y2, "brNDC");
label_sqrt->SetFillColor(kWhite);
label_sqrt->SetTextSize(0.038);
label_sqrt->SetTextFont(42);
label_sqrt->SetTextAlign(31); // align right
label_sqrt->AddText("#sqrt{s} = 8 TeV");
return label_sqrt;
}
RooArgSet* defineVariables() {
// define variables of the input ntuple //livia
RooRealVar* PhotonsMass = new RooRealVar("PhotonsMass", "M(gg)",MINmass, MAXmass,"GeV");
RooRealVar* ph1_eta = new RooRealVar("ph1_eta", "eta(g1)",-10,10,"");
RooRealVar* ph2_eta = new RooRealVar("ph2_eta", "eta(g2)",-10,10,"");
RooRealVar* ph1_r9 = new RooRealVar("ph1_r9", "R9(g1)",-10,10,"");
RooRealVar* ph2_r9 = new RooRealVar("ph2_r9", "R9(g2)",-10,10,"");
RooRealVar* evweight = new RooRealVar("evweight","Reweightings",0,1000,"");
RooRealVar* nvtx = new RooRealVar("nvtx", "nvtx", 0, 50, "");
// RooRealVar* btagCategory = new RooRealVar("btagCategory","event category",0.9,2.1,"") ;
// RooRealVar* newweight = new RooRealVar("newweight","Reweightings",0., 1000,"");
RooArgSet* ntplVars = new RooArgSet(*PhotonsMass, *ph1_eta, *ph2_eta, *ph1_r9, *ph2_r9, *evweight, *nvtx);
return ntplVars;
}
RooArgSet* defineVariablesM250() {
// define variables of the input ntuple //livia
RooRealVar* PhotonsMass = new RooRealVar("PhotonsMass", "M(gg)",130, 1000,"GeV");
RooRealVar* ph1_eta = new RooRealVar("ph1_eta", "eta(g1)",-10,10,"");
RooRealVar* ph2_eta = new RooRealVar("ph2_eta", "eta(g2)",-10,10,"");
RooRealVar* ph1_r9 = new RooRealVar("ph1_r9", "R9(g1)",-10,10,"");
RooRealVar* ph2_r9 = new RooRealVar("ph2_r9", "R9(g2)",-10,10,"");
RooRealVar* evweight = new RooRealVar("evweight","Reweightings",0,1000,"");
RooRealVar* nvtx = new RooRealVar("nvtx", "nvtx", 0, 50, "");
// RooRealVar* btagCategory = new RooRealVar("btagCategory","event category",0.9,2.1,"") ;
// RooRealVar* newweight = new RooRealVar("newweight","Reweightings",0., 1000,"");
RooArgSet* ntplVars = new RooArgSet(*PhotonsMass, *ph1_eta, *ph2_eta, *ph1_r9, *ph2_r9, *evweight, *nvtx);
return ntplVars;
}
RooArgSet* defineVariables_newWeight() {
// define variables of the input ntuple //livia
RooRealVar* PhotonsMass = new RooRealVar("PhotonsMass", "M(gg)",MINmass, MAXmass,"GeV");
RooRealVar* ph1_eta = new RooRealVar("ph1_eta", "eta(g1)",-10,10,"");
RooRealVar* ph2_eta = new RooRealVar("ph2_eta", "eta(g2)",-10,10,"");
RooRealVar* ph1_r9 = new RooRealVar("ph1_r9", "R9(g1)",-10,10,"");
RooRealVar* ph2_r9 = new RooRealVar("ph2_r9", "R9(g2)",-10,10,"");
RooRealVar* nvtx = new RooRealVar("nvtx", "nvtx", 0, 50, "");
RooRealVar* newweight = new RooRealVar("newweight","Reweightings",0., 1000,"");
// RooRealVar* btagCategory = new RooRealVar("btagCategory","event category",0.9,2.1,"") ;
RooArgSet* ntplVars = new RooArgSet(*PhotonsMass, *ph1_eta, *ph2_eta, *ph1_r9, *ph2_r9,*newweight, *nvtx);
return ntplVars;
}
TTree *dataset2tree(RooDataSet *dataset, RooArgSet* args, Double_t newweight){
RooArgList argList(*args);
Double_t variables[50];
Long64_t nEntries= dataset->numEntries();
//nEntries=1;
TTree *tree = new TTree("tree","tree");
tree->SetDirectory(0);
TIterator *it1=NULL;
it1 = argList.createIterator();
int index1=0;
for(RooRealVar *var = (RooRealVar *) it1->Next(); var!=NULL;
var = (RooRealVar *) it1->Next(),index1++){
TString name(var->GetName());
name.ReplaceAll("-","_");
tree->Branch(name, &(variables[index1]), name+"/D");
}
tree->Branch("newweight", &newweight, "newweight/D");
// tree->Print();
for(Long64_t jentry=0; jentry<nEntries; jentry++){
TIterator *it=NULL;
RooArgList argList1(*(dataset->get(jentry)));
it = argList1.createIterator();
//(dataset->get(jentry))->Print();
int index=0;
for(RooRealVar *var = (RooRealVar *) it->Next(); var!=NULL;
var = (RooRealVar *) it->Next(), index++){
variables[index]=var->getVal();
//var->Print();
if(var->GetName() == "evweight") newweight = evweight*2;
}
delete it;
tree->Fill();
}
tree->ResetBranchAddresses();
// tree->Print();
return tree;
}
void runfits(const Float_t mass=150, Bool_t dobands = false, Int_t perc = 0, Int_t min=130, Int_t max=1000) {
//********************************************************************//
// Running mode corresponds to the following cases
// - full run set:
// - create signal and background data sets
// - make and fit signal and background models
// - write signal and background workspaces in root files
// - write data card
//*******************************************************************//
TString fileBaseName(TString::Format("HighMass-hgg", mass));
TString fileBkgName(TString::Format("HighMass-hgg.inputbkg_8TeV", mass));
TString card_name("HighMass-hgg_models_Bkg_8TeV_test.rs");
HLFactory hlf("HLFactory", card_name, false);
RooWorkspace* w = hlf.GetWs();
RooFitResult* fitresults_bern;
RooFitResult* fitresults_dijet;
RooFitResult* fitresults_dijetPL;
RooFitResult* fitresults_dijetEXP;
RooFitResult* fitresults_dijetEXPOL;
RooFitResult* fitresults_expol;
RooFitResult* fitresults_expolPL;
RooFitResult* fitresults_rookey;
RooFitResult* fitresults_lau;
RooFitResult* fitresults_expPAR;
//compure roohistfunc with min and max for the fir range
RooRealVar* var = new RooRealVar("var","var", 100, 900 );
TF1* fmax;
TF1* fmin;
RooHistFunc* rooFitMin = getRooHistFuncFitMIN(0, var, fmin);
RooHistFunc* rooFitMax = getRooHistFuncFitMAX(0, var, fmax);
// makeRooHistPlot(rooFitMin,rooFitMax,fmin,fmin,var);
var->setVal(mass);
double newmin = rooFitMin->getVal(*var);
double newmax = rooFitMax->getVal(*var);
newmin =200;
newmax=500;
MINmass=newmin;
MAXmass=newmax;
std::cout<<" MIN MASS: "<<MINmass<<" MAX MASS: "<<MAXmass<<std::endl;
Double_t MMIN = 130.;
Double_t MMAX = 1000;
w->var("PhotonsMass")->setMin(MMIN);
w->var("PhotonsMass")->setMax(MMAX);
// w->Print("v");
// Add data to the workspace
cout << endl; cout << "Now AddSigData" << endl;
if(mass<400 && mass!=350) AddSigData(w, mass);
// Inside this function you will find a discription our model.
cout << endl; cout << "Now SigModelFit" << endl;
// SigModelFitCBC(w, mass);
SigModelResponseFcnFit(w, mass);
w->var("PhotonsMass")->setMin(MINmass);
w->var("PhotonsMass")->setMax(MAXmass);
SigModelFitConvBW(w, mass, perc);
cout << endl; cout << "Now AddBkgData" << endl;
AddBkgData(w, mass);
cout << endl; cout << "Now AddBkgMC" << endl;
//MakeRooKeysPDFMCBkg(w, mass, true);
cout << endl; cout << "Now BkgModelFit" << endl;
bool blind = true;
bool dobandsHere= false;
//fitresults_bern = BkgModelFitBernstein(w, dobands, mass, blind);
fitresults_expol = BkgModelFitExpolFunc(w, dobands, mass, blind);
fitresults_lau = BkgModelFitLauFunc(w, dobands, mass, blind);
fitresults_exPAR = BkgModelFitExpPARFunc(w, dobands, mass, blind);
// fitresults_expolPL = BkgModelFitExpolPLFunc(w, dobands, mass, blind);
fitresults_dijet = BkgModelFitDiJetFunc(w, dobandsHere, mass, blind);
// fitresults_dijetPL = BkgModelFitDiJetPLFunc(w, dobandsHere, mass, blind);
//fitresults_dijetEXP = BkgModelFitDiJetEXPFunc(w, dobandsHere, mass, blind);
// fitresults_dijetEXPOL = BkgModelFitDiJetEXPOLFunc(w, dobandsHere, mass, blind);
// fitresults_rookey = BkgModelFitRooKeyFunc(w, dobandsHere, mass, blind);
// Make statistical treatment. Setup the limit on X production
cout << endl; cout << "Now make signal workspace" << endl;
bool isGauss = false;
// MakeSigWS(w, fileBaseName+"_8TeV",mass, isGauss);
// cout << endl; cout << "Now make background workspace" << endl;
MakeBkgWS(w, fileBkgName, mass, "Expol");
// MakeBkgWS(w, fileBkgName, mass, "ExpolPL");
MakeBkgWS(w, fileBkgName, mass, "DiJet");
MakeBkgWS(w, fileBkgName, mass, "Lau");
MakeBkgWS(w, fileBkgName, mass, "ExpPAR");
//MakeBkgWS(w, fileBkgName, mass, "DiJetPL");
//MakeBkgWS(w, fileBkgName, mass, "DiJetEXP");
//MakeBkgWS(w, fileBkgName, mass, "DiJetEXPOL");
std::cout<<"Now prepare WS for Bias study"<<std::endl;
RooRealVar RooMINmass("RooMINmass", "RooMINmass", MINmass);
RooRealVar RooMAXmass("RooMAXmass", "RooMAXmass", MAXmass);
w->import(RooMINmass);
w->import(RooMAXmass);
//
MakeWSBiasStudy(w,mass, perc);
//cout << endl; cout << "Now prepare datacards" << endl;
//for (int c=0; c<NCAT; c++) MakeDataCard_1Channel(w, fileBaseName, fileBkgName,c);
return;
}
// Signal Data Set
void AddSigData(RooWorkspace* w, Float_t mass) {
Int_t ncat = NCAT;
TString inDir = "";
Float_t MASS(mass);
// Luminosity:
Float_t Lum = 19500.0;
RooRealVar lumi("lumi","lumi",Lum);
w->import(lumi);
// Variables
RooArgSet* ntplVars = defineVariables();
int iMass = abs(mass);
TFile sigFile1("histograms_CMS-HGG_19032013.root"); //ggh prod mode tree livia
//chain summing up all production modes
TChain* sigTree1 = new TChain();
sigTree1->Add(TString::Format("histograms_CMS-HGG_19032013.root/ggh_m%d_8TeV", iMass));
sigTree1->Add(TString::Format("histograms_CMS-HGG_19032013.root/vbf_m%d_8TeV", iMass));
sigTree1->Add(TString::Format("histograms_CMS-HGG_19032013.root/wzh_m%d_8TeV", iMass));
sigTree1->Add(TString::Format("histograms_CMS-HGG_19032013.root/tth_m%d_8TeV", iMass));
sigTree1->SetTitle("sigTree1");
sigTree1->SetName("sigTree1");
// common preselection cut
TString mainCut = TString::Format("PhotonsMass>=130 && PhotonsMass<=900", mass, mass); // livia
// Create signal dataset composed with different productions, the weight is already applied in our ntuples
RooDataSet sigWeighted("sigWeighted","dataset",sigTree1,*ntplVars,mainCut,"evweight");
cout << endl;
cout << "sigWeighted" << endl;
sigWeighted.Print("v");
cout << "---- nX: " << sigWeighted.sumEntries() << endl;
// apply a common preselection cut; split in categories
cout << endl;
RooDataSet* signal[NCAT];
for (int c=0; c<ncat; ++c) {
// 0) chiara: 1cat only
// signal[c] = (RooDataSet*) sigWeighted.reduce(*w->var("massggnewvtx"),mainCut); //chiara, for 1 cat only
// 1) prime 4 cat livia
if (c==0) signal[c] = (RooDataSet*) sigWeighted.reduce(*w->var("PhotonsMass"),mainCut+TString::Format("&& (abs(ph1_eta)<1.4442 && abs(ph2_eta)<1.4442) && (ph1_r9>0.94 && ph2_r9>0.94 )"));
if (c==1) signal[c] = (RooDataSet*) sigWeighted.reduce(*w->var("PhotonsMass"),mainCut+TString::Format("&& (abs(ph1_eta)<1.4442 && abs(ph2_eta)<1.4442) && (ph1_r9<0.94 || ph2_r9<0.94 ) "));
if (c==2) signal[c] = (RooDataSet*) sigWeighted.reduce(*w->var("PhotonsMass"),mainCut+TString::Format("&& (abs(ph1_eta)>1.566 || abs(ph2_eta)>1.566) && (ph1_r9>0.94 && ph2_r9>0.94 )"));
if (c==3) signal[c] = (RooDataSet*) sigWeighted.reduce(*w->var("PhotonsMass"),mainCut+TString::Format("&& (abs(ph1_eta)>1.566 || abs(ph2_eta)>1.566) && (ph1_r9>0.94 || ph2_r9>0.94 ) "));
w->import(*signal[c],Rename(TString::Format("SigWeight_cat%d",c)));
cout << "cat " << c << ", signal[c]: " << endl;
signal[c]->Print("v");
cout << "---- for category " << c << ", nX for signal[c]: " << signal[c]->sumEntries() << endl;
cout << endl;
}
// Create full weighted signal data set without categorization
RooDataSet* signalAll = (RooDataSet*) sigWeighted.reduce(*w->var("PhotonsMass"),mainCut);
w->import(*signalAll, Rename("SigWeight"));
cout << "now signalAll" << endl;
signalAll->Print("v");
cout << "---- nX for signalAll: " << signalAll->sumEntries() << endl;
cout << endl;
}
// Data dataset
void AddBkgData(RooWorkspace* w, Float_t mass) {
// initializations
Int_t ncat = NCAT;
Float_t minMassFit, maxMassFit;
minMassFit = MINmass;
maxMassFit = MAXmass;
// retrieve the data tree; no common preselection cut applied yet;
TString inDir = "";
TFile dataFile("histograms_CMS-HGG_24072013.root");
TTree* dataTree = (TTree*) dataFile.Get("Data");
// Variables
RooArgSet* ntplVars = defineVariables();
// common preselection cut
TString mainCut = TString::Format("PhotonsMass>=(%.1f) && PhotonsMass<=(%.1f)", minMassFit, maxMassFit); // livia
// Create dataset
RooDataSet Data("Data","dataset",dataTree,*ntplVars,mainCut,"evweight");
cout << endl;
cout << "Data, everything: " << endl;
Data.Print("v");
cout << "---- nX: " << Data.sumEntries() << endl;
cout << endl;
// split into NCAT categories
RooDataSet* dataToFit[NCAT];
for (int c=0; c<ncat; ++c) {
int theCat = c+1;
// 1) prime 4 cat livia
if (c==0) dataToFit[c] = (RooDataSet*) Data.reduce(*w->var("PhotonsMass"),mainCut+TString::Format("&& (abs(ph1_eta)<1.4442 && abs(ph2_eta)<1.4442) && (ph1_r9>0.94 && ph2_r9>0.94 )"));
if (c==1) dataToFit[c] = (RooDataSet*) Data.reduce(*w->var("PhotonsMass"),mainCut+TString::Format("&& (abs(ph1_eta)<1.4442 && abs(ph2_eta)<1.4442) && (ph1_r9<0.94 || ph2_r9<0.94 ) "));
if (c==2) dataToFit[c] = (RooDataSet*) Data.reduce(*w->var("PhotonsMass"),mainCut+TString::Format("&& (abs(ph1_eta)>1.566 || abs(ph2_eta)>1.566) && (ph1_r9>0.94 && ph2_r9>0.94 )"));
if (c==3) dataToFit[c] = (RooDataSet*) Data.reduce(*w->var("PhotonsMass"),mainCut+TString::Format("&& (abs(ph1_eta)>1.566 || abs(ph2_eta)>1.566) && (ph1_r9>0.94 || ph2_r9>0.94 ) "));
cout << endl; cout << "for category = " << c << endl;
dataToFit[c]->Print("v");
cout << "---- nX: " << dataToFit[c]->sumEntries() << endl;
w->import(*dataToFit[c],Rename(TString::Format("Data_cat%d",c)));
}
cout << "data, no split" << endl;
// Create full data set without categorization
RooDataSet* data = (RooDataSet*) Data.reduce(*w->var("PhotonsMass"),mainCut);
w->import(*data, Rename("Data"));
cout << endl;
data->Print("v");
cout << "---- nX: " << data->sumEntries() << endl;
}
// Fit signal with model gauss pdfs
void SigModelFitGauss(RooWorkspace* w, Float_t mass) {
Int_t ncat = NCAT;
RooDataSet* sigToFit[NCAT];
RooAbsPdf* PhotonsMassSigGauss[NCAT];
RooExtendPdf* PhotonsMassSigGaussExt[NCAT];
Float_t MASS(mass);
Float_t minMassFit(mass*0.8),maxMassFit(mass*1.2);
// Fit Signal
for (int c=0; c<ncat; ++c) {
cout << "---------- Category = " << c << endl;
sigToFit[c] = (RooDataSet*) w->data(TString::Format("SigWeight_cat%d",c));
RooRealVar* PhotonsMass = w->var("PhotonsMass");
PhotonsMass->setUnit("GeV");
//per fissare la frac
// ((RooRealVar*) w->var(TString::Format("PhotonsMass_sig_frac_cat%d",c)))->setConstant(true);
RooFormulaVar m0(TString::Format("m0_cat%d",c),"","@0",*w->var(TString::Format("PhotonsMass_sig_m0_cat%d",c)));
RooFormulaVar m1(TString::Format("m1_cat%d",c),"","@0",*w->var(TString::Format("PhotonsMass_sig_m0_cat%d",c)));
RooFormulaVar sigma0(TString::Format("sigma0_cat%d",c),"","@0",*w->var(TString::Format("PhotonsMass_sig_sigma0_cat%d",c)));
RooFormulaVar sigma1(TString::Format("sigma1_cat%d",c),"","@0",*w->var(TString::Format("PhotonsMass_sig_sigma1_cat%d",c)));
RooFormulaVar frac(TString::Format("frac_cat%d",c),"","@0",*w->var(TString::Format("PhotonsMass_sig_frac_cat%d",c)));
RooGaussian PhotonsMassGaussSig0(TString::Format("PhotonsMassGaussSig0_cat%d",c), "first gaussian component", *PhotonsMass, m0, sigma0);
RooGaussian PhotonsMassGaussSig1(TString::Format("PhotonsMassGaussSig1_cat%d",c), "second gaussian component", *PhotonsMass,m0, sigma1);
RooAddPdf* PhotonsMassSigAdd = new RooAddPdf(TString::Format("PhotonsMassSig_cat%d",c),TString::Format("PhotonsMassSig_cat%d",c),RooArgList(PhotonsMassGaussSig0, PhotonsMassGaussSig1),frac) ;
PhotonsMassSigGauss[c] = (RooAbsPdf*)PhotonsMassSigAdd;
//extended pdf
PhotonsMass->setRange("signal range", minMassFit, maxMassFit);
RooFormulaVar nsig(TString::Format("nsig_cat%d",c),"","@0",*w->var(TString::Format("nsig_cat%d",c)));
PhotonsMassSigGaussExt[c] = new RooExtendPdf(TString::Format("PhotonsMassSigExt_cat%d",c),TString::Format("PhotonsMassSigExt_cat%d",c), *PhotonsMassSigGauss[c], nsig, "signal range" );
RooFitResult* fitresults_sig = PhotonsMassSigGauss[c] ->fitTo(*sigToFit[c],Range(minMassFit,maxMassFit),RooFit::FitOptions("MHTER"),SumW2Error(kTRUE), Save(kTRUE));
std::cout<<TString::Format("******************************** Signal Fit results mass %f cat %d***********************************", mass, c)<<std::endl;
fitresults_sig->Print("V");
w->import(*PhotonsMassSigGauss[c]);
// Plot to verify everything is ok
RooPlot* plotPhotonsMassAll = w->var("PhotonsMass")->frame(Range(minMassFit-20,maxMassFit+20),Bins(100));
sigToFit[c]->plotOn(plotPhotonsMassAll);
PhotonsMassSigGauss[c]->plotOn(plotPhotonsMassAll);
PhotonsMassSigGauss[c] ->plotOn(plotPhotonsMassAll,Components(TString::Format("PhotonsMassGaussSig0_cat%d",c)),LineStyle(kDashed),LineColor(kGreen));
PhotonsMassSigGauss[c] ->plotOn(plotPhotonsMassAll,Components(TString::Format("PhotonsMassGaussSig1_cat%d",c)),LineStyle(kDashed),LineColor(kRed));
TCanvas* c1 = new TCanvas("c1","PhotonsMass",0,0,800,800);
c1->cd(1);
plotPhotonsMassAll->Draw();
TLegend *legmc = new TLegend(0.5791457,0.75,0.8291457,0.9340659, TString::Format("Category %d",c), "brNDC");
legmc->AddEntry(plotPhotonsMassAll->getObject(5),"Simulation","LPE");
legmc->AddEntry(plotPhotonsMassAll->getObject(1),"Parametric Model","L");
legmc->AddEntry(plotPhotonsMassAll->getObject(3),"Gaussian 2 component","L");
legmc->AddEntry(plotPhotonsMassAll->getObject(2),"Gaussian 1 component","L");
legmc->SetTextSize(0.0206044);
legmc->SetTextFont(42);
legmc->SetBorderSize(0);
legmc->SetFillStyle(0);
legmc->Draw();
TPaveText* label_cms = get_labelCMS(0, "2012", true);
TPaveText* label_sqrt = get_labelSqrt(0);
label_cms->Draw("same");
label_sqrt->Draw("same");
int massI(mass);
c1->SaveAs("preliminaryPlots/prelimSignalGauss"+TString::Format("_M%d_cat%d.png",massI,c));
c1->SaveAs("preliminaryPlots/prelimSignalGauss"+TString::Format("_M%d_cat%d.root",massI,c));
c1->SetLogy();
c1->SaveAs("preliminaryPlots/prelimSignalGauss"+TString::Format("_M%d_cat%d_LOG.png",massI,c));
c1->SaveAs("preliminaryPlots/prelimSignalGauss"+TString::Format("_M%d_cat%d_LOG.root",massI,c));
// IMPORTANT: fix all pdf parameters to constant
w->defineSet(TString::Format("SigPdfParam_cat%d",c), RooArgSet(*w->var("PhotonsMass"+TString::Format("_sig_m0_cat%d",c)),
*w->var("PhotonsMass"+TString::Format("_sig_sigma0_cat%d",c)),
*w->var("PhotonsMass"+TString::Format("_sig_m1_cat%d",c)),
*w->var("PhotonsMass"+TString::Format("_sig_sigma1_cat%d",c)),
*w->var("PhotonsMass"+TString::Format("_sig_frac_cat%d",c))));
SetConstantParams(w->set(TString::Format("SigPdfParam_cat%d",c)));
}
}
//********************//
//Fit function variying the width:
void SigModelResponseFcnFit(RooWorkspace* w, Float_t mass) {
TFile sigFile1("histograms_CMS-HGG_19032013.root");
//chain summing up all production modes
TChain* sigTree1 = new TChain();
sigTree1->Add("histograms_CMS-HGG_19032013.root/ggh_m250_8TeV");
sigTree1->Add("histograms_CMS-HGG_19032013.root/vbf_m250_8TeV");
sigTree1->Add("histograms_CMS-HGG_19032013.root/wzh_m250_8TeV");
sigTree1->Add("histograms_CMS-HGG_19032013.root/tth_m250_8TeV");
sigTree1->SetTitle("sigTree1");
sigTree1->SetName("sigTree1");
// Variables
RooArgSet* ntplVars = defineVariablesM250();
TString mainCut1 = TString::Format("PhotonsMass > 130 && PhotonsMass<1000"); // livia
RooDataSet sigWeighted("sigWeighted","dataset",sigTree1,*ntplVars,mainCut1,"evweight");
// Variables
RooRealVar* PhotonsMass = w->var("PhotonsMass");
RooRealVar *mH = new RooRealVar("MH", "MH", MINmass, MAXmass);
mH->setVal(mass);
mH->setConstant();
w->import(*mH);
// w->Print("V");
RooFormulaVar *massReduced_formula = new RooFormulaVar("massReduced_formula","","@0/250 -1",*w->var("PhotonsMass"));
RooRealVar* massReduced = (RooRealVar*) sigWeighted.addColumn(*massReduced_formula);
massReduced->SetName("massReduced");
massReduced->SetTitle("massReduced");
w->import(*massReduced);
massReduced->setRange(-0.5, 0.5);
// common preselection cut
TString mainCut = TString::Format("massReduced>-0.5 && massReduced <0.5"); // livia
RooDataSet* signal[NCAT];
RooCBShape* ResponseCBpos[NCAT];
RooCBShape* ResponseCBneg[NCAT];
RooGaussian* ResponseGauss[NCAT];
RooAddPdf* ResponseAddGauss[NCAT];
RooAddPdf* ResponseAdd[NCAT];
TCanvas* c1 = new TCanvas("c1", "c1", 1);
c1->cd();
TPaveText* label_cms = get_labelCMS(0, "2012", true);
TPaveText* label_sqrt = get_labelSqrt(0);
for(int c = 0; c<NCAT; c++){
TLatex *lat = new TLatex(0.65,0.9,TString::Format("Cat: %d", c));
lat->SetTextSize(0.038);
lat->SetTextAlign(11);
lat->SetTextFont(42);
lat->SetNDC();
// 1) prime 4 cat livia
if (c==0) signal[c] = (RooDataSet*) sigWeighted.reduce(*w->var("massReduced"),mainCut+TString::Format("&& (abs(ph1_eta)<1.5 && abs(ph2_eta)<1.5) && (ph1_r9>0.94 && ph2_r9>0.94 )"));
if (c==1) signal[c] = (RooDataSet*) sigWeighted.reduce(*w->var("massReduced"),mainCut+TString::Format("&& (abs(ph1_eta)<1.5 && abs(ph2_eta)<1.5) && (ph1_r9<0.94 || ph2_r9<0.94 ) "));
if (c==2) signal[c] = (RooDataSet*) sigWeighted.reduce(*w->var("massReduced"),mainCut+TString::Format("&& (abs(ph1_eta)>1.5 || abs(ph2_eta)>1.5) && (ph1_r9>0.94 && ph2_r9>0.94 )"));
if (c==3) signal[c] = (RooDataSet*) sigWeighted.reduce(*w->var("massReduced"),mainCut+TString::Format("&& (abs(ph1_eta)>1.5 || abs(ph2_eta)>1.5) && (ph1_r9>0.94 || ph2_r9>0.94 ) "));
//add cb neg +pos
//cb pos
RooFormulaVar CBpos_mean(TString::Format("ReducedMass_CBpos_sig_mean_cat%d",c),"", "@0", *w->var(TString::Format("ReducedMass_sig_mean_cat%d",c)));
RooFormulaVar CBpos_sigma(TString::Format("ReducedMass_CBpos_sig_sigma_cat%d",c), "", "@0", *w->var(TString::Format("ReducedMass_sig_sigma_cat%d",c)));
RooFormulaVar CBpos_alphaCB(TString::Format("ReducedMass_CBpos_sig_alphaCB_cat%d",c),"", "@0", *w->var( TString::Format("ReducedMass_sig_alphaCBpos_cat%d",c)));
RooFormulaVar CBpos_n(TString::Format("ReducedMass_CBpos_sig_n_cat%d",c),"", "@0", *w->var( TString::Format("ReducedMass_sig_Npos_cat%d",c)));
//cb neg
RooFormulaVar CBneg_n(TString::Format("ReducedMass_CBneg_sig_n_cat%d",c),"", "@0", *w->var( TString::Format("ReducedMass_sig_Nneg_cat%d",c)));
RooFormulaVar CBneg_alphaCB(TString::Format("ReducedMass_CBneg_sig_alphaCB_cat%d",c),"", "@0", *w->var( TString::Format("ReducedMass_sig_alphaCBneg_cat%d",c)));
ResponseCBpos[c] = new RooCBShape(TString::Format("ResponseCBpos_cat%d",c),TString::Format("ResponseCBpos_cat%d",c) , *massReduced, CBpos_mean, CBpos_sigma, CBpos_alphaCB, CBpos_n) ;
ResponseCBneg[c] = new RooCBShape(TString::Format("ResponseCBneg_cat%d",c),TString::Format("ResponseCBneg_cat%d",c) , *massReduced, CBpos_mean, CBpos_sigma, CBneg_alphaCB, CBneg_n) ;
RooFormulaVar CB_frac(TString::Format("ReducedMass_CBpos_sig_frac_cat%d",c),"", "@0", *w->var(TString::Format("ReducedMass_sig_frac_cat%d",c)));
w->import(CB_frac);
ResponseAdd[c]= new RooAddPdf(TString::Format("ResponseAddPdf_cat%d",c),TString::Format("ResponseAddPdf_cat%d",c) , RooArgList(*ResponseCBneg[c], *ResponseCBpos[c]), CB_frac);
w->import(*ResponseAdd[c]);
//gauss+cb neg
RooFormulaVar Gauss_frac(TString::Format("ReducedMass_Gauss_sig_frac_cat%d",c),"", "@0", *w->var(TString::Format("ReducedMass_sig_fracGauss_cat%d",c)));
w->import(Gauss_frac);
RooFormulaVar Gauss_sigma(TString::Format("ReducedMass_Gauss_sig_sigma_cat%d",c), "", "@0", *w->var(TString::Format("ReducedMass_sig_sigmaGauss_cat%d",c)));
ResponseGauss[c] = new RooGaussian(TString::Format("ResponseGauss_cat%d",c), TString::Format("ResponseGauss_cat%d",c), *massReduced,CBpos_mean , Gauss_sigma);
ResponseAddGauss[c]= new RooAddPdf(TString::Format("ResponseAddGaussPdf_cat%d",c), TString::Format("ResponseAddGaussPdf_cat%d",c), RooArgList(*ResponseCBneg[c], *ResponseGauss[c]), Gauss_frac);
//w->import(*ResponseAddGauss[c]);
// RooFitResult* fitresults = (RooFitResult* ) ResponseAddGauss[c]->fitTo(*signal[c],SumW2Error(kTRUE), RooFit::Save(kTRUE));
RooFitResult* fitresults = (RooFitResult* ) ResponseAdd[c]->fitTo(*signal[c],SumW2Error(kTRUE),Range(-1, 1), RooFit::Save(kTRUE));
// std::cout<<TString::Format("******************************** Signal Fit results CB+Gauss mass %f cat %d***********************************", mass, c)<<std::endl;
std::cout<<TString::Format("******************************** Signal Fit results CB+CB mass %f cat %d***********************************", mass, c)<<std::endl;
fitresults->Print("V");
RooPlot* plotG = massReduced->frame(Range(-1., 1.),Title("Mass Reduced"), Bins(60));
signal[c]->plotOn(plotG);
// ResponseAddGauss[c]->plotOn(plotG, LineColor(kBlue));
ResponseAdd[c]->plotOn(plotG, LineColor(kBlue));
// ResponseAddGauss[c]->plotOn(plotG,Components(TString::Format("ResponseGauss_cat%d",c)), LineColor(kGreen), LineStyle(kDashed));
// ResponseAddGauss[c]->plotOn(plotG,Components(TString::Format("ResponseCBneg_cat%d",c)), LineColor(kRed), LineStyle(kDashed));
ResponseAdd[c]->plotOn(plotG,Components(TString::Format("ResponseCBneg_cat%d",c)), LineColor(kGreen), LineStyle(kDashed));
ResponseAdd[c]->plotOn(plotG,Components(TString::Format("ResponseCBpos_cat%d",c)), LineColor(kRed), LineStyle(kDashed));
plotG->GetYaxis()->SetRangeUser(0.0001,plotG->GetMaximum()*10 );
plotG->GetXaxis()->SetTitle("#Delta m");
plotG->GetXaxis()->SetTitleFont(42);
plotG->GetXaxis()->SetTitleSize(0.05);
TLegend* legmc = new TLegend(0.6, 0.6, 0.85, 0.89, "", "brNDC");
legmc->SetTextSize(0.0206044);
legmc->SetTextFont(42);
legmc->SetBorderSize(0);
legmc->SetFillStyle(0);
legmc->AddEntry(plotG->getObject(0),"m_{#gamma#gamma} = 250 GeV","LPE");
// legmc->AddEntry(plotG->getObject(1),"Sum of CB and Gauss","L");
legmc->AddEntry(plotG->getObject(1),"Sum of two CB ","L");
//legmc->AddEntry(plotG->getObject(2),"Gauss","L");
legmc->AddEntry(plotG->getObject(2),"CB 1","L");
legmc->AddEntry(plotG->getObject(3),"CB 2","L");
plotG->Draw();
lat->Draw("same");
label_cms->Draw("same");
label_sqrt->Draw("same");
legmc->Draw("same");
c1->SetLogy();
// c1->SaveAs(TString::Format("plots/responseFcnFitCBGauss_cat%d_LOG.png",c));
c1->SaveAs(TString::Format("plots/responseFcnFitCBCB_cat%d_LOG.png",c));
c1->SaveAs(TString::Format("plots/responseFcnFitCBCB_cat%d_LOG.pdf",c));
c1->SaveAs(TString::Format("plots/responseFcnFitCBCB_cat%d_LOG.eps",c));
plotG->GetYaxis()->SetRangeUser(0.0001,plotG->GetMaximum()*0.12 );
lat->Draw("same");
label_cms->Draw("same");
label_sqrt->Draw("same");
legmc->Draw("same");
c1->SetLogy(0);
// c1->SaveAs(TString::Format("plots/responseFcnFitCBGauss_cat%d.png",c));
c1->SaveAs(TString::Format("plots/responseFcnFitCBCB_cat%d.png",c));
c1->SaveAs(TString::Format("plots/responseFcnFitCBCB_cat%d.pdf",c));
w->defineSet(TString::Format("ResponseAddPdfParam_cat%d",c),RooArgSet(*w->var(TString::Format("ReducedMass_sig_sigma_cat%d",c)),
*w->var(TString::Format("ReducedMass_sig_alphaCBpos_cat%d",c)),
*w->var(TString::Format("ReducedMass_sig_alphaCBneg_cat%d",c)),
*w->var(TString::Format("ReducedMass_sig_Npos_cat%d",c)),
*w->var(TString::Format("ReducedMass_sig_Nneg_cat%d",c)),
*w->var(TString::Format("ReducedMass_sig_frac_cat%d",c)),
*w->var(TString::Format("ReducedMass_sig_mean_cat%d",c))));
SetConstantParams(w->set(TString::Format("ResponseAddPdfParam_cat%d",c)));
}
}
// Fit signal with model gauss pdfs
void SigModelFitConvBW(RooWorkspace* w, Float_t mass, Int_t perc) {
Int_t ncat = NCAT;
RooDataSet* sigToFit[NCAT];
Float_t MASS(mass);
Float_t minMassFit(mass*0.8);
Float_t maxMassFit(mass*1.2);
RooRealVar* PhotonsMass = w->var("PhotonsMass");
std::cout<<"----------------------------------------------------------------------------------------"<<std::endl;
TPaveText* label_cms = get_labelCMS(0, "2012", true);
TPaveText* label_sqrt = get_labelSqrt(0);
// Fit Signal
for (int c=0; c<ncat; ++c) {
cout << "---------- Category = " << c << endl;
//cb
RooFormulaVar CBpos_mean_draw(TString::Format("CBpos_mean_draw_cat%d",c),"","@0+@1",RooArgList(*w->var(TString::Format("ReducedMass_sig_mean_cat%d",c)),*w->var("MH")));
RooFormulaVar CBpos_mean(TString::Format("CBpos_mean_cat%d",c),"","@0",*w->var(TString::Format("ReducedMass_sig_mean_cat%d",c)));
RooFormulaVar CBpos_sigma(TString::Format("CBpos_sigma_cat%d",c),"","@0*@1",RooArgList(*w->var(TString::Format("ReducedMass_sig_sigma_cat%d",c)),*w->var("MH")) );
RooFormulaVar CBpos_alphaCB(TString::Format("CBpos_alphaCB_cat%d",c),"","@0",*w->var(TString::Format("ReducedMass_sig_alphaCBpos_cat%d",c)) );
RooFormulaVar CBneg_alphaCB(TString::Format("CBneg_alphaCB_cat%d",c),"","@0",*w->var(TString::Format("ReducedMass_sig_alphaCBneg_cat%d",c)) );
RooFormulaVar CBpos_n(TString::Format("CBpos_n_cat%d",c),"","@0",*w->var(TString::Format("ReducedMass_sig_Npos_cat%d",c)) );
RooFormulaVar CBneg_n(TString::Format("CBneg_n_cat%d",c),"","@0",*w->var(TString::Format("ReducedMass_sig_Nneg_cat%d",c)) );
RooFormulaVar CBpos_frac(TString::Format("CBpos_frac_cat%d",c),"","@0",*w->var(TString::Format("ReducedMass_sig_frac_cat%d",c)) );
RooCBShape ResCBpos_draw(TString::Format("ResCBpos_draw_cat%d",c),TString::Format("ResCBpos_draw_cat%d",c) , *PhotonsMass, CBpos_mean_draw, CBpos_sigma, CBpos_alphaCB, CBpos_n) ;
RooCBShape ResCBneg_draw(TString::Format("ResCBneg_draw_cat%d",c),TString::Format("ResCBneg_draw_cat%d",c) , *PhotonsMass, CBpos_mean_draw, CBpos_sigma, CBneg_alphaCB, CBneg_n) ;
RooCBShape ResCBpos(TString::Format("ResCBpos_cat%d",c),TString::Format("ResCBpos_cat%d",c) , *PhotonsMass, CBpos_mean, CBpos_sigma,CBpos_alphaCB, CBpos_n) ;
RooCBShape ResCBneg(TString::Format("ResCBneg_cat%d",c),TString::Format("ResCBneg_cat%d",c) , *PhotonsMass, CBpos_mean, CBpos_sigma,CBneg_alphaCB, CBneg_n) ;
PhotonsMass->setBins(40000, "cache");
//add CB pos + CB neg
RooAddPdf ResAddPdf(TString::Format("ResAddPdf_cat%d",c),TString::Format("ResAddPdf_cat%d",c) , RooArgList(ResCBneg, ResCBpos), CBpos_frac);
RooAddPdf ResAddPdf_draw(TString::Format("ResAddPdf_draw_cat%d",c),TString::Format("ResAddPdf_draw_cat%d",c) , RooArgList(ResCBneg_draw, ResCBpos_draw), CBpos_frac);
//BW
RooFormulaVar meanBW(TString::Format("meanBW_cat%d",c),"","@0",*w->var("MH"));
if(perc==0) width=0.1;
if(perc==5) width=(w->var("MH")->getVal())*0.05;
if(perc==10) width=(w->var("MH")->getVal())*0.10;
if(perc==20) width=(w->var("MH")->getVal())*0.20;
RooRealVar sigmaBW_var(TString::Format("sigmaBW_var_cat%d",c), TString::Format("sigmaBW_var_cat%d",c), width);
std::cout<<" width:--------> "<<width<<std::endl;
sigmaBW_var.setConstant();
w->import(sigmaBW_var);
RooFormulaVar sigmaBW(TString::Format("sigmaBW_cat%d",c),"","@0",*w->var(TString::Format("sigmaBW_var_cat%d",c)));
RooBreitWigner SigModelBW(TString::Format("SigModelBW_cat%d",c),TString::Format("SigModelBW_cat%d",c), *PhotonsMass, meanBW, sigmaBW);
//CONV
RooFFTConvPdf ConvolutedRes_CB(TString::Format("PhotonsMassSig_cat%d",c),TString::Format("PhotonsMassSig_cat%d",c), *PhotonsMass,SigModelBW, ResAddPdf);
w->import(ConvolutedRes_CB);
std::cout<<".............> "<<c<<std::endl;
RooHistFunc* rooFunc_norm = getRooHistFunc(c, w->var("MH"));
w->import(*rooFunc_norm);
// w->Print("V");
if(width < 2.&& mass <400 && mass!=350.){ //if i want to plot the fit
sigToFit[c] = (RooDataSet*) w->data(TString::Format("SigWeight_cat%d",c));
// RooFitResult* fitresults_CB = (RooFitResult* ) ConvolutedRes_CB.fitTo(*sigToFit[c],Range(MINmass,MAXmass), RooFit::Save(kTRUE));
std::cout<<TString::Format("******************************** Signal Fit results CB mass %f cat %d***********************************", mass, c)<<std::endl;
//fitresults_CB->Print("V");
RooPlot* plotOnlyResPdf = w->var("PhotonsMass")->frame(Range(MINmass,MAXmass),Bins(100));
sigToFit[c]->plotOn(plotOnlyResPdf, LineColor(kRed), LineStyle(kDashed));
double max = plotOnlyResPdf->GetMaximum();
// Plot to verify everything is ok
RooPlot* plotPhotonsMassAll = w->var("PhotonsMass")->frame(Range(MINmass,MAXmass),Bins(100));
sigToFit[c]->plotOn(plotPhotonsMassAll);
SigModelBW.plotOn(plotPhotonsMassAll, LineColor(kGreen), LineStyle(kDashed));
ConvolutedRes_CB.plotOn(plotPhotonsMassAll, LineColor(kBlue));
TCanvas* c1 = new TCanvas("c1","PhotonsMass",0,0,800,800);
c1->cd(1);
plotPhotonsMassAll->Draw();
plotPhotonsMassAll->GetYaxis()->SetRangeUser(0.0001, max*1.2);
TLegend *legmc = new TLegend(0.5491457,0.75,0.801457,0.9340659, TString::Format("Category %d",c), "brNDC");
legmc->AddEntry(plotPhotonsMassAll->getObject(0),"Simulation","LPE");
legmc->AddEntry(plotPhotonsMassAll->getObject(2),"BW #otimes Resolution","L");
legmc->SetTextSize(0.0206044);
legmc->SetTextFont(42);
legmc->SetBorderSize(0);
legmc->SetFillStyle(0);
legmc->Draw();
label_cms->Draw("same");
label_sqrt->Draw("same");
int massI(mass);
c1->SetLogy();
plotPhotonsMassAll->GetXaxis()->SetTitle("m_{#gamma #gamma}[GeV]");
c1->SetLogy(0);
c1->SaveAs("plots/prelimSignalCBCconvBW"+TString::Format("_M%d_cat%d.png",massI, c));
c1->SaveAs("plots/prelimSignalCBCconvBW"+TString::Format("_M%d_cat%d.pdf",massI, c));
c1->SetLogy();
plotPhotonsMassAll->GetYaxis()->SetRangeUser(0.0001,max*10. );
c1->SaveAs("plots/prelimSignalCBCconvBW"+TString::Format("_M%d_cat%d_LOG.png",massI,c));
c1->SaveAs("plots/prelimSignalCBCconvBW"+TString::Format("_M%d_cat%d_LOG.pdf",massI,c));
c1->SaveAs("plots/prelimSignalCBCconvBW"+TString::Format("_M%d_cat%d_LOG.eps",massI,c));
}
// IMPORTANT: fix all pdf parameters to constant
w->defineSet(TString::Format("ConvolutedPdfParam_cat%d",c),RooArgSet( *w->var(TString::Format("ReducedMass_sig_sigma_cat%d",c)),
*w->var(TString::Format("ReducedMass_sig_alphaCBpos_cat%d",c)),
*w->var(TString::Format("ReducedMass_sig_alphaCBneg_cat%d",c)),
*w->var(TString::Format("ReducedMass_sig_Npos_cat%d",c)),
*w->var(TString::Format("ReducedMass_sig_Nneg_cat%d",c)),
*w->var(TString::Format("ReducedMass_sig_frac_cat%d",c)),
*w->var(TString::Format("ReducedMass_sig_mean_cat%d",c)),
*w->var(TString::Format("sigmaBW_var_cat%d",c))));
SetConstantParams(w->set(TString::Format("ConvolutedPdfParam_cat%d",c)));
// w->Print("V");
}
}
//********************//
// Fit signal with model gauss pdfs
void SigModelFitCBC(RooWorkspace* w, Float_t mass) {
Int_t ncat = NCAT;
RooDataSet* sigToFit[NCAT];
RooCBCrujffPdf* PhotonsMassSig[NCAT];
RooExtendPdf* PhotonsMassSigExt[NCAT];
Float_t MASS(mass);
Float_t minMassFit(mass*0.8),maxMassFit(mass*1.2);
// Fit Signal
for (int c=0; c<ncat; ++c) {
cout << "---------- Category = " << c << endl;