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HighMass-HggFitter_mgg_FTest.cc
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using namespace RooFit;
using namespace RooStats ;
Float_t MINmass= 130;
Float_t MAXmass= 1000;
static const Int_t NCAT = 1; // chiara
std::string filePOSTfix="";
double signalScaler=1.00;
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;
}
void runfits(const Float_t mass=150, Bool_t dobands = false, Int_t perc = 0) {
//********************************************************************//
// 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;
if(mass<600) {
MINmass=300;
MAXmass=1000;
}else if(mass>=600 && mass <750){
MINmass=200;
MAXmass=1000;
}else if(mass>=750 && mass <=850){
MINmass=280;
MAXmass=1000;
}
std::cout<<" MIN MASS: "<<MINmass<<std::endl;
Double_t MMIN = 130.;
Double_t MMAX = 1000;
w->var("PhotonsMass")->setMin(MMIN);
w->var("PhotonsMass")->setMax(MMAX);
w->Print("v");
cout << endl; cout << "Now AddBkgData" << endl;
AddBkgData(w, mass);
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_expPAR = BkgModelFitExpPARFunc(w, dobands, mass, blind);
// fitresults_expolPL = BkgModelFitExpolPLFunc(w, dobands, mass, blind);
// fitresults_dijet = BkgModelFitDiJetFunc(w, dobandsHere, mass, blind);
return;
}
// 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;
}
RooFitResult* BkgModelFitDiJetFunc(RooWorkspace* w, Bool_t dobands, Float_t mass, bool blind) {
Int_t ncat = NCAT;
std::cout<<"isBlind: "<<blind<<std::endl;
// retrieve pdfs and datasets from workspace to fit with pdf models
RooDataSet* data[NCAT];
RooFitResult* fitresult[NCAT];;
RooPlot* plotPhotonsMassBkg[NCAT];
// dobands and dosignal
RooDataSet* signal[NCAT];
RooAbsPdf* PhotonsMassSig[NCAT];
Float_t minMassFit, maxMassFit;
minMassFit = MINmass;//MINmass;
maxMassFit = MAXmass;
// Fit data with background pdf for data limit
RooRealVar* PhotonsMass = w->var("PhotonsMass");
PhotonsMass->setUnit("GeV");
TLatex *text = new TLatex();
text->SetNDC();
text->SetTextSize(0.04);
for (int c = 0; c < ncat; ++c) {
data[c] = (RooDataSet*) w->data(TString::Format("Data_cat%d",c));
// fit a la dijets
RooFormulaVar *p1mod = new RooFormulaVar(TString::Format("par1DiJet_cat%d",c),"","@0",*w->var(TString::Format("PhotonsMass_bkg_8TeV_slope1_cat%d",c)));
RooFormulaVar *p2mod = new RooFormulaVar(TString::Format("par2DiJet_cat%d",c),"","@0",*w->var(TString::Format("PhotonsMass_bkg_8TeV_slope2_cat%d",c)));
RooFormulaVar *p3mod = new RooFormulaVar(TString::Format("par3DiJet_cat%d",c),"","@0",*w->var(TString::Format("PhotonsMass_bkg_8TeV_slope3_cat%d",c)));
PhotonsMass->setRange("bkg range", MINmass, MAXmass);
RooFormulaVar *x = new RooFormulaVar(TString::Format("xDiJet_cat%d",c),"","@0/8000.",*w->var("PhotonsMass"));
RooAbsPdf* PhotonsMassBkgTmp0 = new RooGenericPdf(TString::Format("PhotonsMassBkg_DiJet_truth_cat%d",c), "pow(1-@0, @2)/pow(@0, @1+@3*log(@0))", RooArgList(*x, *p1mod, *p2mod,*p3mod));
fitresult[c] = PhotonsMassBkgTmp0->fitTo(*data[c], Range(minMassFit,maxMassFit),RooFit::FitOptions("MHTER"), SumW2Error(kTRUE), Save(kTRUE));
w->import(*PhotonsMassBkgTmp0);
std::cout<<TString::Format("******************************** Background Fit results mass %f cat %d***********************************", mass, c)<<std::endl;
fitresult[c]->Print("V");
//************************************************
// Plot PhotonsMass background fit results per categories
TCanvas* ctmp = new TCanvas("ctmp","PhotonsMass Background Categories",0,0,500,500);
Int_t nBinsMass(60);
plotPhotonsMassBkg[c] = PhotonsMass->frame(minMassFit, maxMassFit,nBinsMass);
data[c]->plotOn(plotPhotonsMassBkg[c],RooFit::Invisible());
PhotonsMassBkgTmp0->plotOn(plotPhotonsMassBkg[c],LineColor(kBlue),Range(minMassFit,maxMassFit));//,NormRange("bkg range"));
double chi2 = plotPhotonsMassBkg[c]->chiSquare(3);
Int_t ndof = nBinsMass-3;
std::cout<<"------> "<< ndof<<std::endl;
double prob = TMath::Prob(chi2*ndof, ndof);
std::cout<<prob<<std::endl;
blind=false;
if( blind ) {
RooDataSet* data_down = (RooDataSet*) data[c].reduce(*w->var("PhotonsMass"),"PhotonsMass < 173.5");
RooDataSet* data_up = (RooDataSet*) data[c].reduce(*w->var("PhotonsMass"),"PhotonsMass >850");
data_up->plotOn(plotPhotonsMassBkg[c]);
data_down->plotOn(plotPhotonsMassBkg[c]);
} else {
data[c]->plotOn(plotPhotonsMassBkg[c]);
}
plotPhotonsMassBkg[c]->GetXaxis()->SetTitle("m_{#gamma #gamma} [GeV]");
plotPhotonsMassBkg[c]->SetAxisRange(0.001,plotPhotonsMassBkg[c]->GetMaximum()*1.5,"Y");
plotPhotonsMassBkg[c]->Draw();
TLegend *legdata = new TLegend(0.3790323,0.7775424,0.6290323,0.9279661, TString::Format("Category %d",c), "brNDC");
legdata->AddEntry(plotPhotonsMassBkg[c]->getObject(2),"Data","LPE");
legdata->AddEntry(plotPhotonsMassBkg[c]->getObject(1),"Parametric Model: DiJet","L");
legdata->SetTextSize(0.035);
legdata->SetTextFont(42);
// legdata->SetTextAlign(31);
legdata->SetBorderSize(0);
legdata->SetFillStyle(0);
legdata->Draw("same");
TPaveText* label_cms = get_labelCMS(0, "2012", false);
TPaveText* label_sqrt = get_labelSqrt(0);
label_cms->Draw("same");
label_sqrt->Draw("same");
//write down the chi2 of the fit on the
TPaveText* label_chi2 = new TPaveText(0.5524194,0.6419492,0.796371,0.7690678, "brNDC");
label_chi2->SetFillColor(kWhite);
label_chi2->SetTextSize(0.035);
label_chi2->SetTextFont(42);
label_chi2->SetTextAlign(31); // align right
label_chi2->AddText(TString::Format("Fit chi square/dof = %.3f", chi2));
label_chi2->AddText(TString::Format("Chi square Prob = %.3f", prob));
label_chi2->Draw("same");
//********************************************************************************//
if (dobands) {
RooAbsPdf *cpdf; cpdf = PhotonsMassBkgTmp0;
TGraphAsymmErrors *onesigma = new TGraphAsymmErrors();
TGraphAsymmErrors *twosigma = new TGraphAsymmErrors();
RooRealVar *nlim = new RooRealVar(TString::Format("nlim%d",c),"",0.0,0.0,10.0);
nlim->removeRange();
RooCurve *nomcurve = dynamic_cast<RooCurve*>(plotPhotonsMassBkg[c]->getObject(1));
for (int i=1; i<(plotPhotonsMassBkg[c]->GetXaxis()->GetNbins()+1); ++i) {
double lowedge = plotPhotonsMassBkg[c]->GetXaxis()->GetBinLowEdge(i);
double upedge = plotPhotonsMassBkg[c]->GetXaxis()->GetBinUpEdge(i);
double center = plotPhotonsMassBkg[c]->GetXaxis()->GetBinCenter(i);
double nombkg = nomcurve->interpolate(center);
nlim->setVal(nombkg);
PhotonsMass->setRange("errRange",lowedge,upedge);
RooAbsPdf *epdf = 0;
epdf = new RooExtendPdf("epdf","",*cpdf,*nlim,"errRange");
RooAbsReal *nll = epdf->createNLL(*(data[c]),Extended());
RooMinimizer minim(*nll);
minim.setStrategy(0);
double clone = 1.0 - 2.0*RooStats::SignificanceToPValue(1.0);
double cltwo = 1.0 - 2.0*RooStats::SignificanceToPValue(2.0);
minim.migrad();
minim.minos(*nlim);
// printf("errlo = %5f, errhi = %5f\n",nlim->getErrorLo(),nlim->getErrorHi());
onesigma->SetPoint(i-1,center,nombkg);
onesigma->SetPointError(i-1,0.,0.,-nlim->getErrorLo(),nlim->getErrorHi());
minim.setErrorLevel(0.5*pow(ROOT::Math::normal_quantile(1-0.5*(1-cltwo),1.0), 2)); // the 0.5 is because qmu is -2*NLL
// eventually if cl = 0.95 this is the usual 1.92!
minim.migrad();
minim.minos(*nlim);
twosigma->SetPoint(i-1,center,nombkg);
twosigma->SetPointError(i-1,0.,0.,-nlim->getErrorLo(),nlim->getErrorHi());
delete nll;
delete epdf;
}
PhotonsMass->setRange("errRange",minMassFit,maxMassFit);
twosigma->SetLineColor(kGreen);
twosigma->SetFillColor(kGreen);
twosigma->SetMarkerColor(kGreen);
twosigma->Draw("L3 SAME");
onesigma->SetLineColor(kYellow);
onesigma->SetFillColor(kYellow);
onesigma->SetMarkerColor(kYellow);
onesigma->Draw("L3 SAME");
plotPhotonsMassBkg[c]->Draw("SAME");
}
int massI(mass);
ctmp->SaveAs("preliminaryPlots/prelimBkg"+TString::Format("_cat%d_DIJET_M%d.png",c,massI));
ctmp->SaveAs("preliminaryPlots/prelimBkg"+TString::Format("_cat%d_DIJET_M%d.pdf",c,massI));
ctmp->SaveAs("preliminaryPlots/prelimBkg"+TString::Format("_cat%d_DIJET_M%d.root",c,massI));
ctmp->SetLogy();
plotPhotonsMassBkg[c]->SetAxisRange(1.3,plotPhotonsMassBkg[c]->GetMaximum()*1.5,"Y");
ctmp->SaveAs("preliminaryPlots/prelimBkg"+TString::Format("_cat%d_DIJET_LOG_M%d.png",c,massI));
ctmp->SaveAs("preliminaryPlots/prelimBkg"+TString::Format("_cat%d_DIJET_LOG_M%d.pdf",c,massI));
ctmp->SaveAs("preliminaryPlots/prelimBkg"+TString::Format("_cat%d_DIJET_LOG_M%d.root",c,massI));
}
return fitresult;
}
RooFitResult* BkgModelFitLauFunc(RooWorkspace* w, Bool_t dobands, Float_t mass, bool blind) {
Int_t ncat = NCAT;
RooDataSet* data[NCAT];
RooFitResult* fitresult_o2[NCAT];
RooFitResult* fitresult_o4[NCAT];
RooPlot* plotPhotonsMassBkg[NCAT];
Float_t minMassFit, maxMassFit;
minMassFit = MINmass;
maxMassFit = MAXmass;
// Fit data with background pdf for data limit
RooRealVar* PhotonsMass = w->var("PhotonsMass");
PhotonsMass->setUnit("GeV");
TLatex *text = new TLatex();
text->SetNDC();
text->SetTextSize(0.04);
for (int c = 0; c < ncat; ++c) {
data[c] = (RooDataSet*) w->data(TString::Format("Data_cat%d",c));
PhotonsMass->setRange("bkg range", MINmass, MAXmass);
// fit con expol o2
RooFormulaVar *p1mod_o2 = new RooFormulaVar(TString::Format("par1Lau_o2_cat%d",c),"","@0",*w->var(TString::Format("PhotonsMass_bkg_8TeV_lau1_o2_cat%d",c)));
RooAbsPdf* PhotonsMassBkg_o2 = new RooGenericPdf(TString::Format("PhotonsMassBkg_Lau_o2_cat%d",c), "(1-@1)*pow(@0,-4.0)+@1*pow(@0,-5.0)", RooArgList(*PhotonsMass, *p1mod_o2));
fitresult_o2[c] = PhotonsMassBkg_o2->fitTo(*data[c], Range(minMassFit,maxMassFit),RooFit::FitOptions("MHTER"), SumW2Error(kTRUE), Save(kTRUE));
std::cout<<TString::Format("******************************** Background Fit results mass %f cat %d o2***********************************", mass, c)<<std::endl;
fitresult_o2[c]->Print("V");
// fit con expol o4
RooFormulaVar *p1mod_o4 = new RooFormulaVar(TString::Format("par1Lau_o4_cat%d",c),"","@0",*w->var(TString::Format("PhotonsMass_bkg_8TeV_lau1_o4_cat%d",c)));
RooFormulaVar *p2mod_o4 = new RooFormulaVar(TString::Format("par2Lau_o4_cat%d",c),"","@0",*w->var(TString::Format("PhotonsMass_bkg_8TeV_lau2_o4_cat%d",c)));
RooFormulaVar *p3mod_o4 = new RooFormulaVar(TString::Format("par3Lau_o4_cat%d",c),"","@0",*w->var(TString::Format("PhotonsMass_bkg_8TeV_lau3_o4_cat%d",c)));
RooAbsPdf* PhotonsMassBkg_o4 = new RooGenericPdf(TString::Format("PhotonsMassBkg_Lau_o4_cat%d",c), "(1-@1-@2-@3)*pow(@0,-4.0)+@1*pow(@0,-5.0)+@2*pow(@0,-3.0)+@3*pow(@0,-6.0)", RooArgList(*PhotonsMass, *p1mod_o4, *p2mod_o4, *p3mod_o4));
fitresult_o4[c] = PhotonsMassBkg_o4->fitTo(*data[c], Range(minMassFit,maxMassFit),RooFit::FitOptions("MHTER"), SumW2Error(kTRUE), Save(kTRUE));
std::cout<<TString::Format("******************************** Background Fit results mass %f cat %d o4***********************************", mass, c)<<std::endl;
fitresult_o4[c]->Print("V");
//Perform FTest:
double minnll_o2 = fitresult_o2[c]->minNll();
double minnll_o4 = fitresult_o4[c]->minNll();
double chi2 = 2*(minnll_o2-minnll_o4);
ndof = 2;
double prob = TMath::Prob(chi2,ndof);
std::cout << " F-test Prob(chi2>chi2(data)) == " << prob << std::endl;
//************************************************
// Plot PhotonsMass background fit results per categories
TCanvas* ctmp = new TCanvas("ctmp","PhotonsMass Background ",0,0,500,500);
Int_t nBinsMass(60);
plotPhotonsMassBkg[c] = PhotonsMass->frame(minMassFit, maxMassFit,nBinsMass);
data[c]->plotOn(plotPhotonsMassBkg[c],RooFit::Invisible());
PhotonsMassBkg_o2->plotOn(plotPhotonsMassBkg[c],LineColor(kBlue),Range(minMassFit,maxMassFit),NormRange("bkg range"));
PhotonsMassBkg_o4->plotOn(plotPhotonsMassBkg[c],LineColor(kRed), LineStyle(kDashed),Range(minMassFit,maxMassFit),NormRange("bkg range"));
blind=false;
if( blind ) {
RooDataSet* data_down = (RooDataSet*) data[c].reduce(*w->var("PhotonsMass"),"PhotonsMass < 173.5");
RooDataSet* data_up = (RooDataSet*) data[c].reduce(*w->var("PhotonsMass"),"PhotonsMass >850");
data_up->plotOn(plotPhotonsMassBkg[c]);
data_down->plotOn(plotPhotonsMassBkg[c]);
} else {
data[c]->plotOn(plotPhotonsMassBkg[c]);
}
plotPhotonsMassBkg[c]->GetXaxis()->SetTitle("m_{#gamma #gamma} [GeV]");
plotPhotonsMassBkg[c]->SetAxisRange(0.001,plotPhotonsMassBkg[c]->GetMaximum()*1.5,"Y");
plotPhotonsMassBkg[c]->Draw();
TLegend *legdata = new TLegend(0.3790323,0.7775424,0.6290323,0.9279661, TString::Format("Category %d",c), "brNDC");
legdata->AddEntry(plotPhotonsMassBkg[c]->getObject(2),"Data","LPE");
legdata->AddEntry(plotPhotonsMassBkg[c]->getObject(1),"Parametric Model: Laurent o1","L");
legdata->SetTextSize(0.035);
legdata->SetTextFont(42);
legdata->SetBorderSize(0);
legdata->SetFillStyle(0);
legdata->Draw("same");
TPaveText* label_cms = get_labelCMS(0, "2012", false);
TPaveText* label_sqrt = get_labelSqrt(0);
label_cms->Draw("same");
label_sqrt->Draw("same");
//write down the chi2 of the fit on the
int massI(mass);
ctmp->SaveAs("preliminaryPlots/prelimBkg"+TString::Format("_cat%d_FTEST_LAU_M%d.png",c,massI));
ctmp->SaveAs("preliminaryPlots/prelimBkg"+TString::Format("_cat%d_FTEST_LAU_M%d.pdf",c,massI));
ctmp->SetLogy();
plotPhotonsMassBkg[c]->SetAxisRange(1.3,plotPhotonsMassBkg[c]->GetMaximum()*1.5,"Y");
ctmp->SaveAs("preliminaryPlots/prelimBkg"+TString::Format("_cat%d_FTEST_LAU_LOG_M%d.png",c,massI));
ctmp->SaveAs("preliminaryPlots/prelimBkg"+TString::Format("_cat%d_FTEST_LAU_LOG_M%d.pdf",c,massI));
}
RooFitResult* r;
return r;
}
RooFitResult* BkgModelFitExpPARFunc(RooWorkspace* w, Bool_t dobands, Float_t mass, bool blind) {
Int_t ncat = NCAT;
RooDataSet* data[NCAT];
RooFitResult* fitresult[NCAT];
RooPlot* plotPhotonsMassBkg[NCAT];
Float_t minMassFit, maxMassFit;
minMassFit = MINmass;
maxMassFit = MAXmass;
// Fit data with background pdf for data limit
RooRealVar* PhotonsMass = w->var("PhotonsMass");
PhotonsMass->setUnit("GeV");
TLatex *text = new TLatex();
text->SetNDC();
text->SetTextSize(0.04);
for (int c = 0; c < ncat; ++c) {
data[c] = (RooDataSet*) w->data(TString::Format("Data_cat%d",c));
PhotonsMass->setRange("bkg range", MINmass, MAXmass);
// fit con expol
RooFormulaVar *p1mod= new RooFormulaVar(TString::Format("par1ExpPAR_cat%d",c),"","@0",*w->var(TString::Format("PhotonsMass_bkg_8TeV_ExpPAR1_cat%d",c)));
RooFormulaVar *p2mod= new RooFormulaVar(TString::Format("par2ExpPAR_cat%d",c),"","@0",*w->var(TString::Format("PhotonsMass_bkg_8TeV_ExpPAR2_cat%d",c)));
RooAbsPdf* PhotonsMassBkg = new RooGenericPdf(TString::Format("PhotonsMassBkg_Lau_o2_cat%d",c), "exp(-@1*@0)*pow(@0, @2)", RooArgList(*PhotonsMass, *p1mod, *p2mod));
fitresult[c] = PhotonsMassBkg->fitTo(*data[c], Range(minMassFit,maxMassFit),RooFit::FitOptions("MHTER"), SumW2Error(kTRUE), Save(kTRUE));
std::cout<<TString::Format("******************************** Background Fit results mass %f cat %d ***********************************", mass, c)<<std::endl;
fitresult[c]->Print("V");
//************************************************
// Plot PhotonsMass background fit results per categories
TCanvas* ctmp = new TCanvas("ctmp","PhotonsMass Background ",0,0,500,500);
Int_t nBinsMass(60);
plotPhotonsMassBkg[c] = PhotonsMass->frame(minMassFit, maxMassFit,nBinsMass);
data[c]->plotOn(plotPhotonsMassBkg[c],RooFit::Invisible());
PhotonsMassBkg->plotOn(plotPhotonsMassBkg[c],LineColor(kBlue),Range(minMassFit,maxMassFit),NormRange("bkg range"));
blind=false;
if( blind ) {
RooDataSet* data_down = (RooDataSet*) data[c].reduce(*w->var("PhotonsMass"),"PhotonsMass < 173.5");
RooDataSet* data_up = (RooDataSet*) data[c].reduce(*w->var("PhotonsMass"),"PhotonsMass >850");
data_up->plotOn(plotPhotonsMassBkg[c]);
data_down->plotOn(plotPhotonsMassBkg[c]);
} else {
data[c]->plotOn(plotPhotonsMassBkg[c]);
}
plotPhotonsMassBkg[c]->GetXaxis()->SetTitle("m_{#gamma #gamma} [GeV]");
plotPhotonsMassBkg[c]->SetAxisRange(0.001,plotPhotonsMassBkg[c]->GetMaximum()*1.5,"Y");
plotPhotonsMassBkg[c]->Draw();
TLegend *legdata = new TLegend(0.3790323,0.7775424,0.6290323,0.9279661, TString::Format("Category %d",c), "brNDC");
legdata->AddEntry(plotPhotonsMassBkg[c]->getObject(2),"Data","LPE");
legdata->AddEntry(plotPhotonsMassBkg[c]->getObject(1),"Parametric Model: ExpPAR","L");
legdata->SetTextSize(0.035);
legdata->SetTextFont(42);
legdata->SetBorderSize(0);
legdata->SetFillStyle(0);
legdata->Draw("same");
TPaveText* label_cms = get_labelCMS(0, "2012", false);
TPaveText* label_sqrt = get_labelSqrt(0);
label_cms->Draw("same");
label_sqrt->Draw("same");
//write down the chi2 of the fit on the
int massI(mass);
ctmp->SaveAs("preliminaryPlots/prelimBkg"+TString::Format("_cat%d_EXPPAR_M%d.png",c,massI));
ctmp->SaveAs("preliminaryPlots/prelimBkg"+TString::Format("_cat%d_EXPPAR_M%d.pdf",c,massI));
ctmp->SetLogy();
plotPhotonsMassBkg[c]->SetAxisRange(1.3,plotPhotonsMassBkg[c]->GetMaximum()*1.5,"Y");
ctmp->SaveAs("preliminaryPlots/prelimBkg"+TString::Format("_cat%d_EXPPAR_LOG_M%d.png",c,massI));
ctmp->SaveAs("preliminaryPlots/prelimBkg"+TString::Format("_cat%d_EXPPAR_LOG_M%d.pdf",c,massI));
}
RooFitResult* r;
return r;
}
RooFitResult* BkgModelFitExpolFunc(RooWorkspace* w, Bool_t dobands, Float_t mass, bool blind) {
Int_t ncat = NCAT;
RooDataSet* data[NCAT];
RooFitResult* fitresult_o1[NCAT];
RooFitResult* fitresult_o2[NCAT];
RooFitResult* fitresult_o3[NCAT];
RooFitResult* fitresult_o4[NCAT];
RooPlot* plotPhotonsMassBkg[NCAT];
Float_t minMassFit, maxMassFit;
minMassFit = MINmass;
maxMassFit = MAXmass;
// Fit data with background pdf for data limit
RooRealVar* PhotonsMass = w->var("PhotonsMass");
PhotonsMass->setUnit("GeV");
TLatex *text = new TLatex();
text->SetNDC();
text->SetTextSize(0.04);
for (int c = 0; c < ncat; ++c) {
data[c] = (RooDataSet*) w->data(TString::Format("Data_cat%d",c));
PhotonsMass->setRange("bkg range", MINmass, MAXmass);
// fit con expol o1
RooFormulaVar *p1mod_o1 = new RooFormulaVar(TString::Format("par1Expol_o1_cat%d",c),"","@0",*w->var(TString::Format("PhotonsMass_bkg_8TeV_expol1_o1_cat%d",c)));
RooFormulaVar *p2mod_o1 = new RooFormulaVar(TString::Format("par2Expol_o1_cat%d",c),"","@0",*w->var(TString::Format("PhotonsMass_bkg_8TeV_expol2_o1_cat%d",c)));
RooFormulaVar *x_o1 = new RooFormulaVar(TString::Format("xExpol_o1_cat%d",c),"","@0",*w->var("PhotonsMass"));
RooAbsPdf* PhotonsMassBkg_o1 = new RooGenericPdf(TString::Format("PhotonsMassBkg_Expol_o1_cat%d",c), "exp(-@0/(@1+@2*@0))", RooArgList(*x_o1, *p1mod_o1, *p2mod_o1));
fitresult_o1[c] = PhotonsMassBkg_o1->fitTo(*data[c], Range(minMassFit,maxMassFit),RooFit::FitOptions("MHTER"), SumW2Error(kTRUE), Save(kTRUE));
std::cout<<TString::Format("******************************** Background Fit results mass %f cat %d o1***********************************", mass, c)<<std::endl;
fitresult_o1[c]->Print("V");
// fit con expol o2
RooFormulaVar *p1mod_o2 = new RooFormulaVar(TString::Format("par1Expol_o2_cat%d",c),"","@0",*w->var(TString::Format("PhotonsMass_bkg_8TeV_expol1_o2_cat%d",c)));
RooFormulaVar *p2mod_o2 = new RooFormulaVar(TString::Format("par2Expol_o2_cat%d",c),"","@0",*w->var(TString::Format("PhotonsMass_bkg_8TeV_expol2_o2_cat%d",c)));
RooFormulaVar *p3mod_o2 = new RooFormulaVar(TString::Format("par3Expol_o2_cat%d",c),"","@0",*w->var(TString::Format("PhotonsMass_bkg_8TeV_expol3_o2_cat%d",c)));
RooFormulaVar *x_o2 = new RooFormulaVar(TString::Format("xExpol_o2_cat%d",c),"","@0",*w->var("PhotonsMass"));
RooAbsPdf* PhotonsMassBkg_o2 = new RooGenericPdf(TString::Format("PhotonsMassBkg_Expol_o2_cat%d",c), "exp(-(@0+@3*@0*@0)/(@1+@2*@0))", RooArgList(*x_o2, *p1mod_o2, *p2mod_o2,*p3mod_o2));
fitresult_o2[c] = PhotonsMassBkg_o2->fitTo(*data[c], Range(minMassFit,maxMassFit),RooFit::FitOptions("MHTER"), SumW2Error(kTRUE), Save(kTRUE));
std::cout<<TString::Format("******************************** Background Fit results mass %f cat %d o2***********************************", mass, c)<<std::endl;
fitresult_o2[c]->Print("V");
/*
// fit con expol o3
RooFormulaVar *p1mod_o3 = new RooFormulaVar(TString::Format("par1Expol_o3_cat%d",c),"","@0",*w->var(TString::Format("PhotonsMass_bkg_8TeV_expol1_o3_cat%d",c)));
RooFormulaVar *p2mod_o3 = new RooFormulaVar(TString::Format("par2Expol_o3_cat%d",c),"","@0",*w->var(TString::Format("PhotonsMass_bkg_8TeV_expol2_o3_cat%d",c)));
RooFormulaVar *p3mod_o3 = new RooFormulaVar(TString::Format("par3Expol_o3_cat%d",c),"","@0",*w->var(TString::Format("PhotonsMass_bkg_8TeV_expol3_o3_cat%d",c)));
RooFormulaVar *p4mod_o3 = new RooFormulaVar(TString::Format("par4Expol_o3_cat%d",c),"","@0",*w->var(TString::Format("PhotonsMass_bkg_8TeV_expol4_o3_cat%d",c)));
RooFormulaVar *x_o3 = new RooFormulaVar(TString::Format("xExpol_o3_cat%d",c),"","@0",*w->var("PhotonsMass"));
RooAbsPdf* PhotonsMassBkg_o3 = new RooGenericPdf(TString::Format("PhotonsMassBkg_Expol_o3_cat%d",c), "exp(-(@0+@3*@0*@0+@4*@0*@0*@0)/(@1+@2*@0))", RooArgList(*x_o3, *p1mod_o3, *p2mod_o3, *p3mod_o3, *p4mod_o3));
fitresult_o3[c] = PhotonsMassBkg_o3->fitTo(*data[c], Range(minMassFit,maxMassFit),RooFit::FitOptions("MHTER"), SumW2Error(kTRUE), Save(kTRUE));
std::cout<<TString::Format("******************************** Background Fit results mass %f cat %d o3***********************************", mass, c)<<std::endl;
fitresult_o3[c]->Print("V");
*/
//Perform FTest:
double minnll_o1 = fitresult_o1[c]->minNll();
double minnll_o2 = fitresult_o2[c]->minNll();
// double minnll_o3 = fitresult_o3[c]->minNll();
std::cout<<"o1: "<<fitresult_o1[c]->minNll()<<" o2: "<<fitresult_o2[c]->minNll()<<std::endl;//" o3: "<<minnll_o3<<std::endl;
double chi2 = 2*(minnll_o1-minnll_o2);
ndof = 1;
double prob = TMath::Prob(chi2,ndof);
std::cout << " F-test Prob(chi2>chi2(data)) == " << prob << std::endl;
//************************************************
// Plot PhotonsMass background fit results per categories
TCanvas* ctmp = new TCanvas("ctmp","PhotonsMass Background ",0,0,500,500);
Int_t nBinsMass(60);
plotPhotonsMassBkg[c] = PhotonsMass->frame(minMassFit, maxMassFit,nBinsMass);
data[c]->plotOn(plotPhotonsMassBkg[c],RooFit::Invisible());
PhotonsMassBkg_o1->plotOn(plotPhotonsMassBkg[c],LineColor(kBlue),Range(minMassFit,maxMassFit),NormRange("bkg range"));
PhotonsMassBkg_o2->plotOn(plotPhotonsMassBkg[c],LineColor(kRed),LineStyle(kDashed),Range(minMassFit,maxMassFit),NormRange("bkg range"));
// PhotonsMassBkg_o3->plotOn(plotPhotonsMassBkg[c],LineColor(kGreen),LineStyle(kDashed),Range(minMassFit,maxMassFit),NormRange("bkg range"));
blind=false;
if( blind ) {
RooDataSet* data_down = (RooDataSet*) data[c].reduce(*w->var("PhotonsMass"),"PhotonsMass < 173.5");
RooDataSet* data_up = (RooDataSet*) data[c].reduce(*w->var("PhotonsMass"),"PhotonsMass >850");
data_up->plotOn(plotPhotonsMassBkg[c]);
data_down->plotOn(plotPhotonsMassBkg[c]);
} else {
data[c]->plotOn(plotPhotonsMassBkg[c]);
}
plotPhotonsMassBkg[c]->GetXaxis()->SetTitle("m_{#gamma #gamma} [GeV]");
plotPhotonsMassBkg[c]->SetAxisRange(0.001,plotPhotonsMassBkg[c]->GetMaximum()*1.5,"Y");
plotPhotonsMassBkg[c]->Draw();
TLegend *legdata = new TLegend(0.3790323,0.7775424,0.6290323,0.9279661, TString::Format("Category %d",c), "brNDC");
legdata->AddEntry(plotPhotonsMassBkg[c]->getObject(4),"Data","LPE");
legdata->AddEntry(plotPhotonsMassBkg[c]->getObject(3),"Parametric Model: Expol o3","L");
legdata->AddEntry(plotPhotonsMassBkg[c]->getObject(2),"Parametric Model: Expol o2","L");
legdata->AddEntry(plotPhotonsMassBkg[c]->getObject(1),"Parametric Model: Expol o1","L");
legdata->SetTextSize(0.035);
legdata->SetTextFont(42);
legdata->SetBorderSize(0);
legdata->SetFillStyle(0);
legdata->Draw("same");
TPaveText* label_cms = get_labelCMS(0, "2012", false);
TPaveText* label_sqrt = get_labelSqrt(0);
label_cms->Draw("same");
label_sqrt->Draw("same");
//write down the chi2 of the fit on the
int massI(mass);
ctmp->SaveAs("preliminaryPlots/prelimBkg"+TString::Format("_cat%d_FTEST_EXPOL_M%d.png",c,massI));
ctmp->SaveAs("preliminaryPlots/prelimBkg"+TString::Format("_cat%d_FTEST_EXPOL_M%d.pdf",c,massI));
ctmp->SetLogy();
plotPhotonsMassBkg[c]->SetAxisRange(1.3,plotPhotonsMassBkg[c]->GetMaximum()*1.5,"Y");
ctmp->SaveAs("preliminaryPlots/prelimBkg"+TString::Format("_cat%d_FTEST_EXPOL_LOG_M%d.png",c,massI));
ctmp->SaveAs("preliminaryPlots/prelimBkg"+TString::Format("_cat%d_FTEST_EXPOL_LOG_M%d.pdf",c,massI));
}
RooFitResult* r;
return r;
}
void SetConstantParams(const RooArgSet* params) {
cout << endl; cout << "Entering SetConstantParams" << endl;
TIterator* iter(params->createIterator());
for (TObject *a = iter->Next(); a != 0; a = iter->Next()) {
RooRealVar *rrv = dynamic_cast<RooRealVar *>(a);
if (rrv) { rrv->setConstant(true); std::cout << " " << rrv->GetName(); }
}
}