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fit2DData_pbp.cpp
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fit2DData_pbp.cpp
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#include <fit2DData.h>
int main (int argc, char* argv[]) {
RooMsgService::instance().getStream(0).removeTopic(Plotting);
RooMsgService::instance().getStream(0).removeTopic(InputArguments);
RooMsgService::instance().getStream(1).removeTopic(InputArguments);
RooMsgService::instance().getStream(1).removeTopic(Plotting);
RooMsgService::instance().getStream(1).removeTopic(NumIntegration);
RooMsgService::instance().getStream(1).removeTopic(Minimization);
RooMsgService::instance().getStream(1).removeTopic(Caching);
gROOT->Macro("/afs/cern.ch/user/m/miheejo/public/JpsiV2/JpsiStyle.C");
// *** Check options
parseInputArg(argc, argv, inOpt);
float pmin=0, pmax=0, ymin=0, ymax=0, lmin=0, lmax=0, cmin=0, cmax=0, psmax=0, psmin=0, errmin=0, errmax=0;
getOptRange(inOpt.prange,&pmin,&pmax);
getOptRange(inOpt.lrange,&lmin,&lmax);
getOptRange(inOpt.errrange,&errmin,&errmax);
getOptRange(inOpt.crange,&cmin,&cmax);
getOptRange(inOpt.yrange,&ymin,&ymax);
getOptRange(inOpt.phirange,&psmin,&psmax);
// *** Strings for plot formatting
formTitle(inOpt, cmin, cmax);
formRapidity(inOpt, ymin, ymax);
formPt(inOpt, pmin, pmax);
formPhi(inOpt, psmin, psmax);
TLatex *t = new TLatex(); t->SetNDC(); t->SetTextAlign(12);
// Global objects for drawing
Double_t fx[2], fy[2], fex[2], fey[2];
gfake1 = new TGraphErrors(2,fx,fy,fex,fey);
gfake1->SetMarkerStyle(20); gfake1->SetMarkerSize(1);
hfake11 = TH1F("hfake11","hfake1",100,200,300);
hfake11.SetLineColor(kBlue); hfake11.SetLineWidth(4); hfake11.SetLineStyle(7); hfake11.SetFillColor(kAzure-9); hfake11.SetFillStyle(1001);
hfake21 = TH1F("hfake21","hfake2",100,200,300);
hfake21.SetLineColor(kBlack); hfake21.SetLineWidth(4); hfake21.SetFillColor(kBlack); hfake21.SetFillStyle(3354);
hfake31 = TH1F("hfake31","hfake3",100,200,300);
hfake31.SetLineColor(kRed); hfake31.SetMarkerStyle(kCircle); hfake31.SetLineWidth(4); hfake31.SetMarkerColor(kRed); hfake31.SetLineStyle(9); hfake31.SetFillColor(kRed-7); hfake31.SetFillStyle(3444);
hfake311 = TH1F("hfake311","hfake311",100,200,300);
hfake311.SetLineColor(kRed); hfake311.SetMarkerStyle(kCircle); hfake311.SetLineWidth(4); hfake311.SetMarkerColor(kRed); hfake311.SetLineStyle(kDashed); hfake311.SetFillColor(kRed-7); hfake311.SetFillStyle(3444);
hfake41 = TH1F("hfake41","hfake4",100,200,300);
hfake41.SetLineColor(kGreen); hfake41.SetMarkerStyle(kCircle); hfake41.SetLineWidth(4); hfake41.SetMarkerColor(kGreen); hfake41.SetLineStyle(kDashDotted); hfake41.SetFillColor(kGreen-7); hfake41.SetFillStyle(3444);
// *** Read MC and Data files
TFile fInMC(inOpt.FileNameMC1.c_str()); //Non-prompt J/psi MC
cout << inOpt.FileNameMC1.c_str() << endl;
if (fInMC.IsZombie()) { cout << "CANNOT open MC1 root file\n"; return 1; }
fInMC.cd();
RooDataSet *dataMC = (RooDataSet*)fInMC.Get("dataJpsi");
dataMC->SetName("dataMC");
TFile fInMC2(inOpt.FileNameMC2.c_str()); //Prompt J/psi MC
cout << inOpt.FileNameMC2.c_str() << endl;
if (fInMC2.IsZombie()) { cout << "CANNOT open MC2 root file\n"; return 1; }
fInMC2.cd();
RooDataSet *dataMC2 = (RooDataSet*)fInMC2.Get("dataJpsi");
dataMC2->SetName("dataMC2");
TFile fInData(inOpt.FileName.c_str());
cout << inOpt.FileName.c_str() << endl;
if (fInData.IsZombie()) { cout << "CANNOT open data root file\n"; return 1; }
fInData.cd();
RooDataSet *data;
if (inOpt.doWeight == 1) {
data = (RooDataSet*)fInData.Get("dataJpsiWeight"); //Weighted
cout << "## WEIGHTED dataset is used\n";
} else {
data = (RooDataSet*)fInData.Get("dataJpsi"); //Unweighted
cout << "## UN-WEIGHTED dataset is used!\n";
}
data->SetName("data");
// Create workspace to play with
RooWorkspace *ws = new RooWorkspace("workspace");
// Reduce "dataMC" with given ranges/cuts
char reduceDS[300], reduceDS2[300];
if (!inOpt.rpmethod.compare("etHFp") || !inOpt.rpmethod.compare("etHFm")) {
sprintf(reduceDS2,"Jpsi_Pt>%.2f && Jpsi_Pt<%.2f && Jpsi_Y>%.3f && Jpsi_Y<%.3f && Jpsi_Ct > %.2f && Jpsi_Ct < %.2f",pmin,pmax,ymin,ymax,-lmin,lmax);
sprintf(reduceDS,"Jpsi_Pt>%.2f && Jpsi_Pt<%.2f && Jpsi_Y>%.3f && Jpsi_Y<%.3f && Jpsi_Ct > %.2f && Jpsi_Ct <%.2f && Jpsi_CtErr > %.3f && Jpsi_CtErr <%.3f",pmin,pmax,ymin,ymax,-lmin,lmax,errmin,errmax);
} else {
sprintf(reduceDS2,"Jpsi_Pt>%.2f && Jpsi_Pt<%.2f && abs(Jpsi_Y)>%.2f && abs(Jpsi_Y)<%.2f && Jpsi_Ct > %.2f && Jpsi_Ct < %.2f",pmin,pmax,ymin,ymax,-lmin,lmax);
sprintf(reduceDS,"Jpsi_Pt>%.2f && Jpsi_Pt<%.2f && abs(Jpsi_Y)>%.2f && abs(Jpsi_Y)<%.2f && Jpsi_Ct > %.2f && Jpsi_Ct <%.2f && Jpsi_CtErr > %.3f && Jpsi_CtErr <%.3f",pmin,pmax,ymin,ymax,-lmin,lmax,errmin,errmax);
}
RooDataSet *redMC, *redMC2, *redData;
RooDataSet *redMC_2, *redMC2_2, *redData_2;
redMC = (RooDataSet*)dataMC->reduce(reduceDS);
redMC2 = (RooDataSet*)dataMC2->reduce(reduceDS);
redData = (RooDataSet*)data->reduce(reduceDS);
redMC_2 = (RooDataSet*)dataMC->reduce(reduceDS2);
redMC2_2 = (RooDataSet*)dataMC2->reduce(reduceDS2);
redData_2 = (RooDataSet*)data->reduce(reduceDS2);
if (inOpt.isPbPb == 1 || inOpt.isPbPb == 2) {
cout << "reduceDS for MC and data: " << reduceDS << endl;
ws->import(*redMC);
ws->import(*redMC2);
ws->import(*redData);
} else {
cout << "reduceDS2 for MC and data: " << reduceDS2 << endl;
ws->import(*redMC_2);
ws->import(*redMC2_2);
ws->import(*redData_2);
}
setWSRange(ws, lmin, lmax, errmin, errmax);
// Draw data
ws->var("Jpsi_Mass")->SetTitle("m_{#mu#mu}");
ws->var("Jpsi_Ct")->SetTitle("#font[12]{l}_{J/#psi}");
// Test true lifetimes
RooPlot *trueFrame = ws->var("Jpsi_CtTrue")->frame();
ws->data("dataMC")->plotOn(trueFrame,DataError(RooAbsData::SumW2),Cut("MCType==MCType::NP"));
string titlestr;
TCanvas c0;
// Define binning for mass
ws->var("Jpsi_Mass")->setBins(45);
// Define binning for ctau error
ws->var("Jpsi_CtErr")->setBins(25);
if (pmin > 40.) ws->var("Jpsi_CtErr")->setBins(8);
// define binning for true lifetime
RooBinning rb(-0.1,4.0);
rb.addUniform(5,-0.1,0.0);
rb.addUniform(100,0.0,0.5);
rb.addUniform(15,0.5,1.0);
rb.addUniform(20,1.0,2.5);
rb.addUniform(5,2.5,4.0);
if (inOpt.analyticBlifetime) {
ws->var("Jpsi_CtTrue")->setBins(1000);
} else {
ws->var("Jpsi_CtTrue")->setBinning(rb);
}
// Define binning for lifetime
RooBinning rb2 = setCtBinning(lmin,lmax);
RooBinning rbCorser(-lmin,lmax);
rbCorser.addUniform(60,-lmin,lmax);
// ws->var("Jpsi_Ct")->setBins(90); //original
ws->var("Jpsi_Ct")->setBinning(rb2); //original
// ws->var("Jpsi_Ct")->setBinning(rbCorser); //corser
// Define ctau binning for plotting (coarser bin)
RooBinning rb3(-lmin,lmax);
rb3.addBoundary(-1.0);
rb3.addBoundary(-0.7);
rb3.addBoundary(-0.6);
rb3.addBoundary(-0.5);
rb3.addUniform(5,-0.5,-0.2);
rb3.addUniform(15,-0.2,0.2);
rb3.addUniform(5,0.2,0.5);
// rb3.addUniform(5,0.5,1.0);
rb3.addUniform(10,0.5,1.2); //new added
rb3.addUniform(6,1.2,lmax); //new added
// Additional cuts on data and get sub-datasets/histograms
RooDataSet *redDataCut;
string reduceDSstr;
if (inOpt.isGG == 0) {
reduceDSstr = "Jpsi_Type == Jpsi_Type::GG &&\
(MCType != MCType::NP || Jpsi_CtTrue>0.0001) &&\
(MCType == MCType::PR || MCType == MCType::NP)";
redDataCut = (RooDataSet*)redData->Clone();
/* if (inOpt.isPbPb == 1)
redDataCut = (RooDataSet*)redData->reduce("Jpsi_Type == Jpsi_Type::GG");
else
redDataCut = (RooDataSet*)redData_2->reduce("Jpsi_Type == Jpsi_Type::GG");*/
} else if (inOpt.isGG == 1) {
reduceDSstr = "(Jpsi_Type == Jpsi_Type::GT || Jpsi_Type == Jpsi_Type::GG) &&\
(MCType != MCType::NP || Jpsi_CtTrue > 0.0001) &&\
(MCType == MCType::PR || MCType == MCType::NP)";
redDataCut = (RooDataSet*)redData->Clone();
/* if (inOpt.isPbPb == 1)
redDataCut = (RooDataSet*)redData->reduce("Jpsi_Type == Jpsi_Type::GT || Jpsi_Type == Jpsi_Type::GG");
else
redDataCut = (RooDataSet*)redData_2->reduce("Jpsi_Type == Jpsi_Type::GT || Jpsi_Type == Jpsi_Type::GG");*/
} else {
reduceDSstr = "(MCType != MCType::NP || Jpsi_CtTrue>0.0001) &&\
(MCType == MCType::PR || MCType == MCType::NP)";
if (inOpt.isPbPb == 1)
redDataCut = (RooDataSet*)redData->reduce("Jpsi_Ct < 600000.");
else
redDataCut = (RooDataSet*)redData_2->reduce("Jpsi_Ct < 600000.");
}
// Test ctau on data and mc with/without ctau error cut
// ctauErrCutCheck(ws,redData,redData_2,redMC,redMC_2,redMC2,redMC2_2,inOpt);
RooDataHist *binData = new RooDataHist("binData","binData",RooArgSet( *(ws->var("Jpsi_Mass")),*(ws->var("Jpsi_Ct")),*(ws->var("Jpsi_CtErr")) ), *redDataCut);
RooDataHist *binDataCtErr = new RooDataHist("binDataCtErr","binDataCtErr",RooArgSet(*(ws->var("Jpsi_CtErr"))),*redDataCut);
cout << "DATA :: N events to fit: " << binData->sumEntries() << endl;
// *** Get MC sub-datasets and its histograms corresponds to data
RooDataSet *redMCCut, *redMCCutNP, *redMCCut2, *redMCCutPR ;
if (inOpt.isPbPb == 1 || inOpt.isPbPb == 2) {
redMCCut = (RooDataSet*) redMC->reduce(reduceDSstr.c_str());
redMCCut2 = (RooDataSet*) redMC2->reduce(reduceDSstr.c_str());
} else {
redMCCut = (RooDataSet*) redMC_2->reduce(reduceDSstr.c_str());
redMCCut2 = (RooDataSet*) redMC2_2->reduce(reduceDSstr.c_str());
}
// redMCCutNP = (RooDataSet*) redMCCut->reduce(RooArgSet(*(ws->var("Jpsi_CtTrue"))));
redMCCutNP = (RooDataSet*) redMCCut->reduce(RooArgSet(*(ws->var("Jpsi_CtTrue"))),"MCType == MCType::NP");
redMCCutPR = (RooDataSet*) redMCCut2->reduce("MCType == MCType::PR");
// SYSTEMATICS 1 (very sidebands)
RooDataSet *redDataSB;
if (inOpt.narrowSideband) redDataSB = (RooDataSet*) redDataCut->reduce("Jpsi_Mass<2.8 || Jpsi_Mass>3.4");
else redDataSB = (RooDataSet*) redDataCut->reduce("Jpsi_Mass<2.9 || Jpsi_Mass>3.3");
RooDataSet *redDataSBL, *redDataSBR;
redDataSBL = (RooDataSet*) redDataCut->reduce("Jpsi_Mass<2.9");
redDataSBR = (RooDataSet*) redDataCut->reduce("Jpsi_Mass>3.3");
// sidebandLeftRightCheck(ws, redDataSBL, redDataSBR, inOpt);
RooDataHist *binDataSB = new RooDataHist("binDataSB","Data distribution for background",RooArgSet( *(ws->var("Jpsi_Mass")),*(ws->var("Jpsi_Ct")) , *(ws->var("Jpsi_CtErr")) ),*redDataSB);
RooDataSet *redDataSIG = (RooDataSet*)redDataCut->reduce("Jpsi_Mass > 2.9 && Jpsi_Mass < 3.3");
RooDataSet *redDataSIGWide = (RooDataSet*)redDataCut->reduce("Jpsi_Mass > 2.9 && Jpsi_Mass < 3.2");
RooDataHist *binMCPR = new RooDataHist("binMCPR","MC distribution for PR signal",RooArgSet( *(ws->var("Jpsi_Mass")),*(ws->var("Jpsi_Ct")), *(ws->var("Jpsi_CtErr"))),*redMCCutPR);
cout << "PRMC :: N events to fit: " << binMCPR->sumEntries() << endl;
RooDataHist *binMCNP = new RooDataHist("binMCNP","MC distribution for NP signal",RooArgSet(*(ws->var("Jpsi_CtTrue"))),*redMCCutNP);
cout << "NPMC :: N events to fit: " << binMCNP->sumEntries() << endl;
RooDataHist *binDataCtErrSB = new RooDataHist("binDataCtErrSB","Data ct error distribution for bkg",RooArgSet(*(ws->var("Jpsi_CtErr"))),*redDataSB);
RooDataHist *binDataCtErrSIG = new RooDataHist("binDataCtErrSIG","Data ct error distribution for sig",RooArgSet(*(ws->var("Jpsi_CtErr"))),*redDataSIG);
// *** Define PDFs with parameters (mass and ctau)
// J/psi mass parameterization
defineMassBkg(ws);
defineMassSig(ws, inOpt);
// J/psi CTau parameterization
defineCTResol(ws, inOpt); // R(l) : resolution function
defineCTBkg(ws, inOpt); // theta(l') convolution R(l')
titlestr = inOpt.dirPre + "_rap" + inOpt.yrange + "_pT" + inOpt.prange + "_cent" + inOpt.crange + "_dPhi" + inOpt.phirange + "_testTrueLifeFit";
defineCTSig(ws,redMCCutNP,titlestr,lmax,inOpt); // F_B(l) : X_mc(l')
char funct[100];
// Set some fitting variables to constant. It depends on the prefitting options.
RooFitResult *fitM;
RooFitResult *fit2D;
if (inOpt.prefitMass) {
struct PARAM {
double coeffGaus; double coeffGausErr;
double meanSig1; double meanSig1Err;
double sigmaSig1; double sigmaSig1Err;
double sigmaSig2; double sigmaSig2Err;
double sigmaSig3; double sigmaSig3Err;
double alpha; double alphaErr;
double enne; double enneErr;
double enneW; double enneWErr;
};
bool centConst = false; //False: fit w/o any constrained parameters (centrality dep.)
bool dPhiConst = false; //False: fit w/o any constrained parameters (dPhi dep.)
double inputN[2] = {0}; //Number of yield/background in the 0-1.571 rad bin
if (inOpt.isMB != 0) {
string inputFN, inputFNcb;
bool centest = true; //False: fit w/o any fixed parameters (centrality dep.)
bool dPhitest = true; //False: fit w/o any fixed parameters (dPhi dep.)
if (inOpt.isMB == 1) {
// Except the *_dPhi0.00-1.57 bins, all other delta Phi bins read/set signal parameters of this bin
centest = false;
centConst = false;
dPhiConst = false;
if (!inOpt.phirange.compare("0.000-1.571")) {
dPhitest = false;
} else {
dPhitest = true;
inputFN = inOpt.dirPre + "_rap" + inOpt.yrange + "_pT" + inOpt.prange + "_cent" + inOpt.crange + "_dPhi0.000-1.571.txt";
}
} else if (inOpt.isMB == 2) {
// Except the *_cent0-100_dPhi0.000-1.571 bin, all other bins read/set signal parameters of this bin
centest = false;
centConst = false;
dPhiConst = false;
if (!inOpt.crange.compare("0-100") && !inOpt.phirange.compare("0.000-1.571")) {
dPhitest = false;
} else {
dPhitest = true;
inputFN = inOpt.dirPre + "_rap" + inOpt.yrange + "_pT" + inOpt.prange + "_cent0-100_dPhi0.000-1.571.txt";
}
} else if (inOpt.isMB == 3) {
// Constrain signal parameters that were fixed in the default method.
// Constrained mean values are coming from *_cent0-100_dPhi0.000-1.571 bin result.
centest = false;
dPhitest = false;
if (!inOpt.crange.compare("0-100")) {
centConst = false;
} else {
centConst = true;
inputFNcb = inOpt.dirPre + "_rap" + inOpt.yrange + "_pT" + inOpt.prange + "_cent0-100_dPhi0.000-1.571.txt";
}
if (!inOpt.phirange.compare("0.000-1.571")) {
dPhiConst = false;
} else {
dPhiConst = true;
inputFN = inOpt.dirPre + "_rap" + inOpt.yrange + "_pT" + inOpt.prange + "_cent" + inOpt.crange + "_dPhi0.000-1.571.txt";
}
} else if (inOpt.isMB == 4) {
centConst = false;
dPhiConst = false;
if (!inOpt.crange.compare("0-100")) {
centest = false;
} else {
centest = true;
inputFNcb = inOpt.dirPre + "_rap" + inOpt.yrange + "_pT" + inOpt.prange + "_cent0-100_dPhi0.000-1.571.txt";
}
if (!inOpt.phirange.compare("0.000-1.571")) {
dPhitest = false;
} else {
dPhitest = true;
inputFN = inOpt.dirPre + "_rap" + inOpt.yrange + "_pT" + inOpt.prange + "_cent" + inOpt.crange + "_dPhi0.000-1.571.txt";
}
}
if (centConst || dPhiConst) {
ifstream input;
if (centConst && !dPhiConst) input.open(inputFNcb.c_str());
else if (dPhiConst) input.open(inputFN.c_str());
if (!input.good()) { cout << "Failed to open: " <<inputFNcb << endl; return 1; }
string tmp;
double inputTmp[2] = {0};
PARAM inputP;
while (input.good()) { //Mass signal parameters
input >> tmp >> inputTmp[0] >> inputTmp[1];
cout << tmp << " " << inputTmp[0] << " " << inputTmp[1]<< endl;
if (!tmp.compare("coeffGaus")) { inputP.coeffGaus = inputTmp[0]; inputP.coeffGausErr = inputTmp[1];
} else if (!tmp.compare("meanSig1")) { inputP.meanSig1 = inputTmp[0]; inputP.meanSig1Err = inputTmp[1];
} else if (!tmp.compare("sigmaSig1")) { inputP.sigmaSig1 = inputTmp[0]; inputP.sigmaSig1Err = inputTmp[1];
if (!inOpt.yrange.compare("0.0-1.2") && inOpt.prange.compare("6.5-8.0")) inputP.sigmaSig1 = inputTmp[0]; inputP.sigmaSig1Err = inputTmp[1]*1.1;
} else if (!tmp.compare("sigmaSig2")) { inputP.sigmaSig2 = inputTmp[0]; inputP.sigmaSig2Err = inputTmp[1];
} else if (!tmp.compare("sigmaSig3")) { inputP.sigmaSig3 = inputTmp[0]; inputP.sigmaSig3Err = inputTmp[1];
} else if (!tmp.compare("alpha")) { inputP.alpha = inputTmp[0]; inputP.alphaErr = inputTmp[1];
} else if (!tmp.compare("enneW")) { inputP.enneW = inputTmp[0]; inputP.enneWErr = inputTmp[1];
}
}
char confunct[1000]={0};
if (inOpt.is2Widths == 1) {
if (dPhiConst) { //Constrain CB width only for dPhi bins
sprintf(confunct,"Gaussian::sigmaSig2Con(sigmaSig2,RooConstVar(%f),RooConstVar(%f))",inputP.sigmaSig2,inputP.sigmaSig2Err); ws->factory(confunct);
sprintf(confunct,"Gaussian::sigmaSig3Con(sigmaSig3,RooConstVar(%f),RooConstVar(%f))",inputP.sigmaSig3,inputP.sigmaSig3Err); ws->factory(confunct);
}
sprintf(confunct,"Gaussian::sigmaSig1Con(sigmaSig1,RooConstVar(%f),RooConstVar(%f))",inputP.sigmaSig1,inputP.sigmaSig1Err); ws->factory(confunct);
sprintf(confunct,"Gaussian::meanSig1Con(meanSig1,RooConstVar(%f),RooConstVar(%f))",inputP.meanSig1,inputP.meanSig1Err); ws->factory(confunct);
sprintf(confunct,"Gaussian::coeffGausCon(coeffGaus,RooConstVar(%f),RooConstVar(%f))",inputP.coeffGaus,inputP.coeffGausErr); ws->factory(confunct);
sprintf(confunct,"Gaussian::alphaCon(alpha,RooConstVar(%f),RooConstVar(%f))",inputP.alpha,inputP.alphaErr); ws->factory(confunct);
sprintf(confunct,"Gaussian::enneWCon(enneW,RooConstVar(%f),RooConstVar(%f))",inputP.enneW,inputP.enneWErr); ws->factory(confunct);
} else if (inOpt.is2Widths == 0) {
sprintf(confunct,"Gaussian::sigmaSig1Con(sigmaSig1,RooConstVar(%f),RooConstVar(%f))",inputP.sigmaSig1,inputP.sigmaSig1Err); ws->factory(confunct);
sprintf(confunct,"Gaussian::meanSig1Con(meanSig1,RooConstVar(%f),RooConstVar(%f))",inputP.meanSig1,inputP.meanSig1Err); ws->factory(confunct);
sprintf(confunct,"Gaussian::coeffGausCon(coeffGaus,RooConstVar(%f),RooConstVar(%f))",inputP.coeffGaus,inputP.coeffGausErr); ws->factory(confunct);
sprintf(confunct,"Gaussian::alphaCon(alpha,RooConstVar(%f),RooConstVar(%f))",inputP.alpha,inputP.alphaErr); ws->factory(confunct);
sprintf(confunct,"Gaussian::enneWCon(enneW,RooConstVar(%f),RooConstVar(%f))",inputP.enneW,inputP.enneWErr); ws->factory(confunct);
}
input.close();
} // end of (centConst || dPhiConst) condition
/* //// For 0-100% bin: want to put bin by bin setting
if (!rpmethod.compare("etHF")) {
if (isPbPb == 1 || (isPbPb ==0 && is2Widths == 1)) {
if (!yrange.compare("0.0-1.2")) {
if (prange.compare("6.5-8.0")) {
cout << "!!!Special parameter range settings are used!!!\n";
ws->var("sigmaSig1")->setRange(0.02,0.2);
ws->var("sigmaSig2")->setRange(0.01,0.06);
}
}
} else if (!yrange.compare("1.2-1.6")) {
if (!prange.compare("5.5-30.0")) {
cout << "!!!Special parameter range settings are used!!!\n";
ws->var("sigmaSig1")->setRange(0.05,0.2);
} else {
cout << "!!!Special parameter range settings are used!!!\n";
ws->var("sigmaSig1")->setRange(0.03,0.2);
ws->var("sigmaSig2")->setRange(0.01,0.06);
}
} else if (!yrange.compare("1.6-2.4")) {
if (!prange.compare("3.0-6.5")) {
cout << "!!!Special parameter range settings are used!!!\n";
ws->var("sigmaSig1")->setRange(0.055,0.2);
ws->var("sigmaSig2")->setRange(0.01,0.06);
// if (!mSigFunct.compare("signalCB3WN"))
ws->var("enneW")->setVal(40);
} else if (!prange.compare("3.0-30.0")) {
cout << "!!!Special parameter range settings are used!!!\n";
ws->var("sigmaSig1")->setRange(0.04,0.2);
ws->var("sigmaSig2")->setRange(0.01,0.05);
} else {
cout << "!!!Special parameter range settings are used!!!\n";
ws->var("sigmaSig1")->setRange(0.04,0.2);
ws->var("sigmaSig2")->setRange(0.01,0.07);
}
} else if (!yrange.compare("0.0-2.4")) {
if (!prange.compare("6.5-8.0")) {
cout << "!!!Special parameter range settings are used!!!\n";
ws->var("sigmaSig1")->setRange(0.01,0.1);
ws->var("sigmaSig2")->setRange(0.01,0.06);
// if (!mSigFunct.compare("polFunct"))
ws->var("enneW")->setVal(45);
} else if (!prange.compare("8.0-10.0")) {
cout << "!!!Special parameter range settings are used!!!\n";
ws->var("sigmaSig1")->setRange(0.03,0.2);
ws->var("sigmaSig2")->setRange(0.01,0.06);
} else if (pmin >= 10.0) {
cout << "!!!Special parameter range settings are used!!!\n";
ws->var("sigmaSig1")->setRange(0.03,0.2);
ws->var("sigmaSig2")->setRange(0.0,0.2);
} else {
if (dPhiConst || centConst) {
cout << "!!!Special parameter range settings are used!!!\n";
ws->var("enneW")->setRange(1,10);
if (!crange.compare("0-10")) {
ws->var("coefExp")->setRange(-1,1);
}
}
}
if (isPbPb ==0 && is2Widths == 1) {
if (!prange.compare("6.5-10.0")) {
cout << "!!!Special parameter range settings are used!!!\n";
ws->var("sigmaSig1")->setRange(0.03,0.2);
}
}
}
// end of etHF, isPbPb == 1 || (isPbPb ==0 && is2Widths == 1)
} else { // for etHFp and etHFm cases
if (isPbPb == 1 || (isPbPb ==0 && is2Widths == 1)) {
if (!yrange.compare("0.0-1.2")) {
if (prange.compare("6.5-8.0") && !rpmethod.compare("etHFm")) {
cout << "!!!Special parameter range settings are used!!!\n";
ws->var("sigmaSig1")->setRange(0.01,0.2);
ws->var("sigmaSig2")->setRange(0.01,0.1);
}
} else if (!yrange.compare("0.0-2.4")) {
if (!prange.compare("8.0-10.0")) {
cout << "!!!Special parameter range settings are used!!!\n";
ws->var("coeffGaus")->setRange(0.0,0.5);
ws->var("sigmaSig1")->setRange(0.04,0.15);
}
} else if (!yrange.compare("1.6-2.4")) {
if (!prange.compare("3.0-30.0")) {
cout << "!!!Special parameter range settings are used!!!\n";
ws->var("sigmaSig1")->setRange(0.03,0.2);
ws->var("sigmaSig2")->setRange(0.01,0.07);
}
}
}
} //// end of special bin settings */
if (centest) {
ifstream input(inputFNcb.c_str());
if (!input.good()) { cout << "Failed to open: " <<inputFNcb << endl; return 1; }
string tmp;
double inputNS[2] = {0};
double inputTmp[2] = {0};
PARAM inputP;
while (input.good()) { //Mass signal parameters
input >> tmp >> inputTmp[0] >> inputTmp[1];
cout << tmp << " " << inputTmp[0] << endl;
if (!tmp.compare("coeffGaus")) inputP.coeffGaus = inputTmp[0];
else if (!tmp.compare("meanSig1")) inputP.meanSig1 = inputTmp[0];
else if (!tmp.compare("sigmaSig1")) inputP.sigmaSig1 = inputTmp[0];
else if (!tmp.compare("sigmaSig2")) inputP.sigmaSig2 = inputTmp[0];
else if (!tmp.compare("sigmaSig3")) inputP.sigmaSig3 = inputTmp[0];
else if (!tmp.compare("alpha")) inputP.alpha = inputTmp[0];
else if (!tmp.compare("enneW")) inputP.enneW = inputTmp[0];
}
ws->var("coeffGaus")->setVal(inputP.coeffGaus);
ws->var("meanSig1")->setVal(inputP.meanSig1);
ws->var("sigmaSig1")->setVal(inputP.sigmaSig1);
ws->var("alpha")->setVal(inputP.alpha);
ws->var("enneW")->setVal(inputP.enneW);
ws->var("coeffGaus")->setConstant(kTRUE);
ws->var("meanSig1")->setConstant(kTRUE);
ws->var("sigmaSig1")->setConstant(kTRUE);
ws->var("alpha")->setConstant(kTRUE);
ws->var("enneW")->setConstant(kTRUE);
input.close();
}
if (dPhitest) {
ifstream input(inputFN.c_str());
cout << inputFN << endl;
if (!input.good()) { cout <<"Failed to open: " << inputFN << endl; return 1; }
string tmp;
PARAM inputP;
double inputNS[2] = {0};
double inputTmp[2]={0};
while (input.good()) { //Mass signal parameters
input >> tmp >> inputTmp[0] >> inputTmp[1];
cout << tmp << " " << inputTmp[0] << endl;
if (!tmp.compare("coeffGaus")) inputP.coeffGaus = inputTmp[0];
else if (!tmp.compare("meanSig1")) inputP.meanSig1 = inputTmp[0];
else if (!tmp.compare("sigmaSig1")) inputP.sigmaSig1 = inputTmp[0];
else if (!tmp.compare("sigmaSig2")) inputP.sigmaSig2 = inputTmp[0];
else if (!tmp.compare("sigmaSig3")) inputP.sigmaSig3 = inputTmp[0];
else if (!tmp.compare("alpha")) inputP.alpha = inputTmp[0];
else if (!tmp.compare("enneW")) inputP.enneW = inputTmp[0];
}
ws->var("sigmaSig2")->setVal(inputP.sigmaSig2);
ws->var("sigmaSig3")->setVal(inputP.sigmaSig3);
ws->var("coeffGaus")->setVal(inputP.coeffGaus);
ws->var("meanSig1")->setVal(inputP.meanSig1);
ws->var("sigmaSig1")->setVal(inputP.sigmaSig1);
ws->var("alpha")->setVal(inputP.alpha);
ws->var("enneW")->setVal(inputP.enneW);
ws->var("sigmaSig2")->setConstant(kTRUE);
ws->var("sigmaSig3")->setConstant(kTRUE);
ws->var("coeffGaus")->setConstant(kTRUE);
ws->var("meanSig1")->setConstant(kTRUE);
ws->var("sigmaSig1")->setConstant(kTRUE);
ws->var("alpha")->setConstant(kTRUE);
ws->var("enneW")->setConstant(kTRUE);
input.close();
}
} //End of isMB != 0
if (inOpt.isPbPb == 1 || inOpt.isPbPb == 2) {
double initBkg = redDataSB->sumEntries()*9.0/5.0;
double initSig = redDataCut->sumEntries() - initBkg;
sprintf(funct,"SUM::sigMassPDF(NSig[%f,1.0,50000.0]*%s,NBkg[%f,1.0,500000.0]*%s)",initSig,initBkg,inOpt.mSigFunct.c_str(),inOpt.mBkgFunct.c_str());
} else {
// 2010 setting in pp
sprintf(funct,"SUM::sigMassPDF(NSig[500.0,1.0,1000000.0]*%s,NBkg[2000.,1.,1000000.0]*%s)",inOpt.mSigFunct.c_str(),inOpt.mBkgFunct.c_str());
}
/* if (isPbPb == 1) {
if (!yrange.compare("0.0-1.2")) {
sprintf(funct,"SUM::sigMassPDF(NSig[4000.0,1.0,50000.0]*%s,NBkg[2000.0,1.0,500000.0]*%s)",mSigFunct.c_str(),mBkgFunct.c_str());
} else if (!yrange.compare("1.2-1.6")) {
sprintf(funct,"SUM::sigMassPDF(NSig[1700.0,1.0,50000.0]*%s,NBkg[1700.0,1.0,500000.0]*%s)",mSigFunct.c_str(),mBkgFunct.c_str());
} else if (!yrange.compare("1.6-2.4")) {
if (!prange.compare("3.0-6.5")) {
if (dPhiConst || centConst)
sprintf(funct,"SUM::sigMassPDF(NSig[2000.0,1.0,50000.0]*%s,NBkg[7000.0,1.0,500000.0]*%s)",mSigFunct.c_str(),mBkgFunct.c_str()); //constrained
else
sprintf(funct,"SUM::sigMassPDF(NSig[4000.0,1.0,50000.0]*%s,NBkg[17000.0,1.0,500000.0]*%s)",mSigFunct.c_str(),mBkgFunct.c_str());
} else if (!prange.compare("3.0-40.0")) {
if (!rpmethod.compare("etHF"))
sprintf(funct,"SUM::sigMassPDF(NSig[5000.0,1.0,50000.0]*%s,NBkg[22000.0,1.0,500000.0]*%s)",mSigFunct.c_str(),mBkgFunct.c_str());
else
sprintf(funct,"SUM::sigMassPDF(NSig[3000.0,1.0,50000.0]*%s,NBkg[11000.0,1.0,500000.0]*%s)",mSigFunct.c_str(),mBkgFunct.c_str());
} else {
sprintf(funct,"SUM::sigMassPDF(NSig[5000.0,1.0,50000.0]*%s,NBkg[5000.0,1.0,500000.0]*%s)",mSigFunct.c_str(),mBkgFunct.c_str());
}
} else {
if (!prange.compare("6.5-8.0"))
sprintf(funct,"SUM::sigMassPDF(NSig[3000.0,1.0,50000.0]*%s,NBkg[3500.0,1.0,500000.0]*%s)",mSigFunct.c_str(),mBkgFunct.c_str());
else if (!prange.compare("8.0-10.0"))
sprintf(funct,"SUM::sigMassPDF(NSig[2000.0,1.0,50000.0]*%s,NBkg[2000.0,1.0,500000.0]*%s)",mSigFunct.c_str(),mBkgFunct.c_str());
else {
if (dPhiConst || centConst) {
if (!crange.compare("0-20"))
sprintf(funct,"SUM::sigMassPDF(NSig[4500.0,1.0,50000.0]*%s,NBkg[4000.0,1.0,500000.0]*%s)",mSigFunct.c_str(),mBkgFunct.c_str());
else if (!crange.compare("0-10"))
sprintf(funct,"SUM::sigMassPDF(NSig[2400.0,1.0,50000.0]*%s,NBkg[2500.0,1.0,500000.0]*%s)",mSigFunct.c_str(),mBkgFunct.c_str());
else
sprintf(funct,"SUM::sigMassPDF(NSig[5000.0,1.0,50000.0]*%s,NBkg[6000.0,1.0,500000.0]*%s)",mSigFunct.c_str(),mBkgFunct.c_str());
} else
sprintf(funct,"SUM::sigMassPDF(NSig[5000.0,1.0,50000.0]*%s,NBkg[6000.0,1.0,500000.0]*%s)",mSigFunct.c_str(),mBkgFunct.c_str());
}
}
} else {
// 2010 setting in pp
sprintf(funct,"SUM::sigMassPDF(NSig[500.0,10.0,1000000.0]*%s,NBkg[2000.,10.,1000000.0]*%s)",mSigFunct.c_str(),mBkgFunct.c_str());
}*/
ws->factory(funct);
if (inOpt.isPbPb == 1 || inOpt.isPbPb == 2) {
if (dPhiConst) { //sigmaSig2 will be constrained too!
fitM = ws->pdf("sigMassPDF")->fitTo(*redDataCut,ExternalConstraints(RooArgSet(*(ws->pdf("sigmaSig2Con")),*(ws->pdf("sigmaSig1Con")),*(ws->pdf("meanSig1Con")),*(ws->pdf("coeffGausCon")),*(ws->pdf("alphaCon")),*(ws->pdf("enneWCon")))),Extended(1),Minos(0),Save(1),SumW2Error(kTRUE),NumCPU(8));
} else if (centConst && !dPhiConst) { //sigmaSig2 will be NOT constrained!
// fitM = ws->pdf("sigMassPDF")->fitTo(*redDataCut,ExternalConstraints(RooArgSet(*(ws->pdf("meanSig1Con")),*(ws->pdf("coeffGausCon")),*(ws->pdf("alphaCon")),*(ws->pdf("enneWCon")))),Extended(1),Minos(0),Save(1),SumW2Error(kTRUE),NumCPU(8));
fitM = ws->pdf("sigMassPDF")->fitTo(*redDataCut,ExternalConstraints(RooArgSet(*(ws->pdf("sigmaSig1Con")),*(ws->pdf("meanSig1Con")),*(ws->pdf("coeffGausCon")),*(ws->pdf("alphaCon")),*(ws->pdf("enneWCon")))),Extended(1),Minos(0),Save(1),SumW2Error(kTRUE),NumCPU(8));
} else { // all free fit bin
fitM = ws->pdf("sigMassPDF")->fitTo(*redDataCut,Extended(1),Minos(0),Save(1),SumW2Error(kTRUE),NumCPU(8));
}
} else if (inOpt.isPbPb == 0) {
if (dPhiConst || centConst ) { //sigmaSig2 will be constrained too!
fitM = ws->pdf("sigMassPDF")->fitTo(*redDataCut,ExternalConstraints(RooArgSet(*(ws->pdf("sigmaSig1Con")),*(ws->pdf("meanSig1Con")),*(ws->pdf("coeffGausCon")),*(ws->pdf("alphaCon")),*(ws->pdf("enneWCon")))),Extended(1),Minos(0),Save(1),SumW2Error(kTRUE),NumCPU(8));
} else { // all free fit bin
fitM = ws->pdf("sigMassPDF")->fitTo(*redDataCut,Extended(1),Minos(0),Save(1),SumW2Error(kTRUE),NumCPU(8));
}
}
fitM->Print("v");
ws->var("alpha")->setConstant(kTRUE);
ws->var("enneW")->setConstant(kTRUE);
ws->var("coeffGaus")->setConstant(kTRUE);
ws->var("sigmaSig1")->setConstant(kTRUE);
ws->var("sigmaSig2")->setConstant(kTRUE);
ws->var("sigmaSig3")->setConstant(kTRUE);
ws->var("meanSig1")->setConstant(kTRUE);
ws->var("coefExp")->setConstant(kTRUE);
ws->var("coefPol1")->setConstant(kTRUE);
ws->var("NSig")->setConstant(kTRUE);
ws->var("NBkg")->setConstant(kTRUE);
// *** Get CB + Gaus combined width
double mCoeffGaus = 0, mCoeffGausErr = 0;
double mSigmaGaus = 0, mSigmaGausErr = 0;
double mSigmaCB = 0, mSigmaCBErr = 0;
if (inOpt.mSigFunct == "sigCB2WNG1") {
mSigmaCB = ws->var("sigmaSig2")->getVal();
mSigmaGaus = ws->var("sigmaSig1")->getVal();
mCoeffGaus = ws->var("coeffGaus")->getVal();
mSigmaCBErr = ws->var("sigmaSig2")->getError();
mSigmaGausErr = ws->var("sigmaSig1")->getError();
mCoeffGausErr = ws->var("coeffGaus")->getError();
inOpt.combinedWidth = sqrt( (1-mCoeffGaus)*pow(mSigmaCB,2) + mCoeffGaus*pow(mSigmaGaus,2) );
inOpt.combinedWidthErr = (0.5/inOpt.combinedWidth) *
sqrt ( pow(mCoeffGaus*mSigmaGaus*mSigmaGausErr,2) +
pow((1-mCoeffGaus)*mSigmaCB*mSigmaCBErr,2) +
pow(0.5*mCoeffGausErr*( pow(mSigmaGaus,2)-pow(mSigmaCB,2) ),2) );
} else if (inOpt.mSigFunct == "signalCB3WN") {
mSigmaCB = ws->var("sigmaSig3")->getVal();
mSigmaCBErr = ws->var("sigmaSig3")->getError();
inOpt.combinedWidth = mSigmaCB;
inOpt.combinedWidthErr = mSigmaCBErr;
} else if (!inOpt.mSigFunct.compare("sigCBWNG1") || !inOpt.mSigFunct.compare("signalCBWN")) {
mSigmaCB = ws->var("sigmaSig1")->getVal();
mSigmaCBErr = ws->var("sigmaSig1")->getError();
inOpt.combinedWidth = mSigmaCB;
inOpt.combinedWidthErr = mSigmaCBErr;
} else {
cout << "ERROR:: cannot get width of gaussian and crystal ball!!!" << endl;
assert(0);
}
inOpt.PcombinedWidth = inOpt.combinedWidth*1000;
inOpt.PcombinedWidthErr = inOpt.combinedWidthErr*1000;
if(inOpt.PcombinedWidthErr < 1) inOpt.PcombinedWidthErr = 1;
// Draw mass plot before do ctau fit
if (!inOpt.doBfit) drawMassPlotsWithoutB(ws, redDataCut, fitM, inOpt);
} else {
RooRealVar NSig("NSig","dummy total signal events",0.);
ws->import(NSig);
}
Double_t NSig_fin = ws->var("NSig")->getVal();
Double_t ErrNSig_fin = ws->var("NSig")->getError();
Double_t NBkg_fin = ws->var("NBkg")->getVal();
Double_t ErrNBkg_fin = ws->var("NBkg")->getError();
// *** Get NSig, NBkg, Bfraction and their errors
Double_t NSigPR_fin, ErrNSigPR_fin;
Double_t NSigNP_fin, ErrNSigNP_fin;
Double_t Bfrac_fin, ErrBfrac_fin;
int nFitPar;
Double_t theNLL;
double resol, Errresol;
RooDataHist *subtrData, *weightedBkg;
if (inOpt.doBfit) { // skip ctau fitting
// scaleF is defined to scale down ct err dist in 2.9-3.3 GeV/c2 signal region
if (inOpt.prefitMass) {
if (inOpt.isPEE == 1) {
float bc;
if (!inOpt.mBkgFunct.compare("expFunct")) bc = ws->var("coefExp")->getVal();
else if (!inOpt.mBkgFunct.compare("polFunct")) bc = ws->var("coefPol1")->getVal();
float scaleF = (exp(2.9*bc)-exp(3.3*bc))/(exp(2.6*bc)-exp(2.9*bc)+exp(3.3*bc)-exp(3.5*bc));
subtrData = new RooDataHist("subtrData","Subtracted data",RooArgSet(*(ws->var("Jpsi_CtErr"))));
weightedBkg = subtractSidebands(ws,subtrData,binDataCtErrSIG,binDataCtErrSB,scaleF,"Jpsi_CtErr");
RooHistPdf errPdfSig("errPdfSig","Error PDF signal",RooArgSet(*(ws->var("Jpsi_CtErr"))),*subtrData); ws->import(errPdfSig);
RooHistPdf errPdfBkg("errPdfBkg","Error PDF bkg",RooArgSet(*(ws->var("Jpsi_CtErr"))),*binDataCtErrSB); ws->import(errPdfBkg);
RooHistPdf errPdfBkgWeighted("errPdfBkgWeighted","Error PDF bkg weighted",RooArgSet(*(ws->var("Jpsi_CtErr"))),*weightedBkg); ws->import(errPdfBkgWeighted);
if (inOpt.ctauBackground == 0) {
RooFormulaVar fBkg("fBkg","@0/(@0+@1)",RooArgList(*(ws->var("NBkg")),*(ws->var("NSig")))); ws->import(fBkg);
RooProdPdf bkgCtauTOT_PEE("bkgCtauTOT_PEE","PDF with PEE", *(ws->pdf("errPdfBkgWeighted")),
Conditional(*(ws->pdf("bkgCtTot")),RooArgList(*(ws->var("Jpsi_Ct"))))
); ws->import(bkgCtauTOT_PEE);
} else if (inOpt.ctauBackground == 1) { //signal region fit
RooAbsReal *nsig_all = ws->pdf(inOpt.mSigFunct.c_str())->createIntegral(*(ws->var("Jpsi_Mass")),NormSet(*(ws->var("Jpsi_Mass"))),Range(2.6,3.5));
RooAbsReal *nbkg_all = ws->pdf(inOpt.mBkgFunct.c_str())->createIntegral(*(ws->var("Jpsi_Mass")),NormSet(*(ws->var("Jpsi_Mass"))),Range(2.6,3.5));
RooAbsReal *nsig_inte = ws->pdf(inOpt.mSigFunct.c_str())->createIntegral(*(ws->var("Jpsi_Mass")),NormSet(*(ws->var("Jpsi_Mass"))),Range(2.9,3.2));
RooAbsReal *nbkg_inte = ws->pdf(inOpt.mBkgFunct.c_str())->createIntegral(*(ws->var("Jpsi_Mass")),NormSet(*(ws->var("Jpsi_Mass"))),Range(2.9,3.2));
double nbkg2 = nsig_inte->getVal()/nsig_all->getVal()*ws->var("NBkg")->getVal();
double nsig2 = nbkg_inte->getVal()/nbkg_all->getVal()*ws->var("NSig")->getVal();
RooRealVar NBkg2("NBkg2","NBkg2",nbkg2);
RooRealVar NSig2("NSig2","NSig2",nsig2);
RooFormulaVar fBkg("fBkg","@0/(@0+@1)",RooArgList(NBkg2,NSig2)); ws->import(fBkg);
RooProdPdf bkgCtauTOTL_PEE("bkgCtauTOTL_PEE","PDF with PEE", *(ws->pdf("errPdfBkgWeighted")),
Conditional(*(ws->pdf("bkgCtTotL")),RooArgList(*(ws->var("Jpsi_Ct"))))
); ws->import(bkgCtauTOTL_PEE);
RooProdPdf bkgCtauTOTR_PEE("bkgCtauTOTR_PEE","PDF with PEE", *(ws->pdf("errPdfBkgWeighted")),
Conditional(*(ws->pdf("bkgCtTotR")),RooArgList(*(ws->var("Jpsi_Ct"))))
); ws->import(bkgCtauTOTR_PEE);
} else if (inOpt.ctauBackground == 2) { //step functions
RooFormulaVar fBkg("fBkg","@0/(@0+@1)",RooArgList(*(ws->var("NBkg")),*(ws->var("NSig")))); ws->import(fBkg);
RooProdPdf bkgCtauTOTL_PEE("bkgCtauTOTL_PEE","PDF with PEE", *(ws->pdf("errPdfBkgWeighted")),
Conditional(*(ws->pdf("bkgCtTotL")),RooArgList(*(ws->var("Jpsi_Ct"))))
); ws->import(bkgCtauTOTL_PEE);
RooProdPdf bkgCtauTOTR_PEE("bkgCtauTOTR_PEE","PDF with PEE", *(ws->pdf("errPdfBkgWeighted")),
Conditional(*(ws->pdf("bkgCtTotR")),RooArgList(*(ws->var("Jpsi_Ct"))))
); ws->import(bkgCtauTOTR_PEE);
RooGenericPdf bkgCtTot("bkgCtTot","bkgCtTot","( @1*(@0<=2.9) + ((1-@3)*@1 +@3*@2)*(@0>2.9 && @0<3.3) + @2*(@0>=3.3) )", RooArgList(*(ws->var("Jpsi_Mass")),bkgCtauTOTL_PEE,bkgCtauTOTR_PEE,*(ws->var("fbkgCtTotR")))); ws->import(bkgCtTot);
} else {
cout << "ctau background function type is not defined. exit.\n";
return -2;
} // end of ctau background function variation
sprintf(funct,"PROD::totSIGPR(%s,sigPR)",inOpt.mSigFunct.c_str()); ws->factory(funct);
sprintf(funct,"PROD::totSIGNP(%s,sigNP)",inOpt.mSigFunct.c_str()); ws->factory(funct);
sprintf(funct,"PROD::totBKG(%s,bkgCtTot)",inOpt.mBkgFunct.c_str()); ws->factory(funct);
RooProdPdf totSIGPR_PEE("totSIGPR_PEE","PDF with PEE", *(ws->pdf("errPdfSig")),
Conditional( *(ws->pdf("totSIGPR")), RooArgList(*(ws->var("Jpsi_Ct")),*(ws->var("Jpsi_Mass"))) )
); ws->import(totSIGPR_PEE);
RooProdPdf totSIGNP_PEE("totSIGNP_PEE","PDF with PEE", *(ws->pdf("errPdfSig")),
Conditional( *(ws->pdf("totSIGNP")), RooArgList(*(ws->var("Jpsi_Ct")),*(ws->var("Jpsi_Mass"))))
); ws->import(totSIGNP_PEE);
RooProdPdf totBKG_PEE("totBKG_PEE","PDF with PEE", *(ws->pdf("errPdfBkgWeighted")),
Conditional( *(ws->pdf("totBKG")), RooArgList(*(ws->var("Jpsi_Ct")),*(ws->var("Jpsi_Mass"))) )
); ws->import(totBKG_PEE);
ws->factory("RSUM::totPDF_PEE(fBkg*totBKG_PEE,Bfrac[0.25,0.0,1.]*totSIGNP_PEE,totSIGPR_PEE)");
// ** Test Ct error distribution on the sideband region
ctauErrDistCheck(ws, binDataCtErrSB, binDataCtErrSIG, subtrData, weightedBkg, inOpt);
} else if (inOpt.isPEE == 0) {
RooFormulaVar fSig("fSig","@0/(@0+@1)",RooArgList( *(ws->var("NSig")),*(ws->var("NBkg")) )); ws->import(fSig);
ws->factory("SUM::sigCtPDF(Bfrac[0.1,0.0,1.0]*sigNP,sigPR)");
sprintf(funct,"PROD::totBKG(%s,bkgCtTot)",inOpt.mBkgFunct.c_str()); ws->factory(funct);
sprintf(funct,"PROD::totSIG(%s,sigCtPDF)",inOpt.mSigFunct.c_str()); ws->factory(funct);
ws->factory("SUM::totPDF(fSig*totSIG,totBKG)"); //Final F(l,m)
}
} else {
cout << "Should use prefit mass option. exit.\n";
return -1;
} //end of prefitmass option
// *** Start prefit on the signal ctau function
RooFitResult *fitPR, *fitSB, *fitSBR, *fitSBL;
double RSS = 0;
unsigned int nFullBinsResid = 0;
RooArgSet* newRow;
RooDataSet* tempJpsi;
if (inOpt.prefitSignalCTau) {
RooPlot *tframePR;
if (inOpt.isPEE == 1) {
RooProdPdf sigPR_PEE("sigPR_PEE","PDF with PEE", *(ws->pdf("errPdfSig")),
Conditional(*(ws->pdf("sigPR")), RooArgList(*(ws->var("Jpsi_Ct"))))
); ws->import(sigPR_PEE);
fitPR = ws->pdf("sigPR_PEE")->fitTo(*redMCCutPR,Range("promptfit"),SumW2Error(kTRUE),ConditionalObservables(RooArgSet(*(ws->var("Jpsi_CtErr")))),Save(1),NumCPU(8));
fitPR->Print("v");
if (ws->var("sigmaResSigW")) ws->var("sigmaResSigW")->setConstant(kTRUE);
ws->var("meanResSigW")->setConstant(kTRUE);
// Check prompt fit is fine with per event error fit. CtWeighted means l/err l
RooRealVar* CtWeighted = new RooRealVar("CtWeighted","#font[12]{l}_{J/#psi} / #sigma( #font[12]{l}_{J/#psi} )",-5.,5.);
ws->import(*CtWeighted);
const RooArgSet* thisRowpr = (RooArgSet*)redMCCutPR->get(0);
newRow = new RooArgSet(*CtWeighted);
tempJpsi = new RooDataSet("tempJpsi","new data",*newRow);
for (Int_t iSamp = 0; iSamp < redMCCutPR->numEntries(); iSamp++) {
thisRowpr = (RooArgSet*)redMCCutPR->get(iSamp);
RooRealVar* myct = (RooRealVar*)thisRowpr->find("Jpsi_Ct");
RooRealVar* mycterr = (RooRealVar*)thisRowpr->find("Jpsi_CtErr");
CtWeighted->setVal(myct->getVal()/mycterr->getVal());
RooArgSet* tempRow = new RooArgSet(*CtWeighted);
tempJpsi->add(*tempRow);
}
if (inOpt.oneGaussianResol) {
ws->factory("Gaussian::tempsigPR(CtWeighted,meanResSigW,sigmaResSigN)");
} else {
ws->factory("Gaussian::tempresGW(CtWeighted,meanResSigW,sigmaResSigW)");
ws->factory("Gaussian::tempresGN(CtWeighted,meanResSigW,sigmaResSigN)");
ws->factory("SUM::tempsigPR(fracRes*tempresGW,tempresGN)");
}
tframePR = ws->var("CtWeighted")->frame();
tempJpsi->plotOn(tframePR,DataError(RooAbsData::SumW2));
ws->pdf("tempsigPR")->plotOn(tframePR,LineColor(kBlue),Normalization(tempJpsi->sumEntries(),RooAbsReal::NumEvent));
} else if (inOpt.isPEE == 0) {
fitPR = ws->pdf("sigPR")->fitTo(*redMCCutPR,SumW2Error(kTRUE),Save(1),NumCPU(8));
fitPR->Print("v");
if (ws->var("sigmaResSigO")) ws->var("sigmaResSigO")->setConstant(kTRUE);
if (ws->var("sigmaResSigM")) ws->var("sigmaResSigM")->setConstant(kTRUE);
if(inOpt.fracfix){
if (ws->var("fracRes2")) ws->var("fracRes2")->setConstant(kTRUE);
if (ws->var("fracRes3")) ws->var("fracRes3")->setConstant(kTRUE);
}
ws->var("fracRes")->setConstant(kTRUE);
tframePR = ws->var("Jpsi_Ct")->frame();
tframePR->GetXaxis()->SetTitle("#font[12]{l}_{J/#psi} (mm)");
redMCCutPR->plotOn(tframePR,DataError(RooAbsData::SumW2));
ws->pdf("sigPR")->plotOn(tframePR,LineColor(kBlue),Normalization(redMCCutPR->sumEntries(),RooAbsReal::NumEvent));
}
// Plot resolution functions
ctauResolFitCheck(ws, true, tframePR, inOpt);
} else {
cout << "Please check running option and turn on prefitSignalCTau\n";
return -1;
} //end of (prefitSignalCTau) option
double bfraction[2] = {0};
if (inOpt.prefitBkg) {
cout << "DATA :: N events to fit on the sidebands: " << binDataSB->sumEntries() << endl;
// ws->var("fpm")->setConstant(kTRUE); //mh
if (inOpt.prefitSignalCTau && inOpt.isPEE == 1) {
// if (ws->var("fracRes")) ws->var("fracRes")->setConstant(kTRUE); //modified for pPb
ws->var("meanResSigW")->setConstant(kTRUE);
// ws->var("sigmaResSigN")->setConstant(kTRUE); //modified for pPb
if (ws->var("sigmaResSigW")) ws->var("sigmaResSigW")->setConstant(kTRUE);//modified
} else if (inOpt.prefitSignalCTau && inOpt.isPEE == 0) {
ws->var("sigmaResSigW")->setConstant(kTRUE);
ws->var("meanResSigW")->setConstant(kTRUE);
// ws->var("sigmaResSigN")->setConstant(kFALSE);
}
cout << "DATA :: N events to fit on the sidebands: " << redDataSB->sumEntries() << endl;
if (inOpt.isPEE == 1) {
if (inOpt.ctauBackground == 0) {
fitSB = ws->pdf("bkgCtauTOT_PEE")->fitTo(*redDataSB,SumW2Error(kTRUE),Minos(0),NumCPU(8),Save(1),ConditionalObservables(RooArgSet(*(ws->var("Jpsi_CtErr")))),Optimize(0));
fitSB->Print("v");
} else if (inOpt.ctauBackground == 1 || inOpt.ctauBackground == 2) {
fitSBR = ws->pdf("bkgCtauTOTR_PEE")->fitTo(*redDataSBR,SumW2Error(kTRUE),Minos(0),NumCPU(8),Save(1),ConditionalObservables(RooArgSet(*(ws->var("Jpsi_CtErr")))));
fitSBR->Print("v");
fitSBL = ws->pdf("bkgCtauTOTL_PEE")->fitTo(*redDataSBL,SumW2Error(kTRUE),Minos(0),NumCPU(8),Save(1),ConditionalObservables(RooArgSet(*(ws->var("Jpsi_CtErr")))));
fitSBL->Print("v");
}
} else {
fitSB = ws->pdf("bkgCtTot")->fitTo(*redDataSB,SumW2Error(kTRUE),Save(1),NumCPU(8),Optimize(0));
fitSB->Print("v");
}
if (inOpt.isPEE == 0 || (inOpt.isPEE == 1 && inOpt.ctauBackground == 0)) {
ws->var("fpm")->setConstant(kTRUE);
ws->var("fLiving")->setConstant(kTRUE);
ws->var("fbkgCtTot")->setConstant(kTRUE);
ws->var("lambdap")->setConstant(kTRUE);
ws->var("lambdam")->setConstant(kTRUE);
ws->var("lambdasym")->setConstant(kTRUE);
} else if ((inOpt.isPEE == 1 && inOpt.ctauBackground == 1) || (inOpt.isPEE == 1 && inOpt.ctauBackground == 2)) {
ws->var("fpmL")->setConstant(kTRUE);
ws->var("fLivingL")->setConstant(kTRUE);
ws->var("fbkgCtTotLeft")->setConstant(kTRUE);
ws->var("lambdapL")->setConstant(kTRUE);
ws->var("lambdamL")->setConstant(kTRUE);
ws->var("lambdasymL")->setConstant(kTRUE);
ws->var("fpmR")->setConstant(kTRUE);
ws->var("fLivingR")->setConstant(kTRUE);
ws->var("fbkgCtTotRight")->setConstant(kTRUE);
ws->var("lambdapR")->setConstant(kTRUE);
ws->var("lambdamR")->setConstant(kTRUE);
ws->var("lambdasymR")->setConstant(kTRUE);
}
if (inOpt.prefitSignalCTau && inOpt.isPEE == 1) {
if (!inOpt.fixResol2MC) {
if (ws->var("fracRes")) ws->var("fracRes")->setConstant(kFALSE);
ws->var("meanResSigW")->setConstant(kFALSE);
ws->var("sigmaResSigN")->setConstant(kFALSE);//modified
if (ws->var("sigmaResSigW")) ws->var("sigmaResSigW")->setConstant(kFALSE);//modified
}
} else if (inOpt.prefitSignalCTau && inOpt.isPEE == 0) {
ws->var("meanResSigW")->setConstant(kFALSE);
ws->var("sigmaResSigW")->setConstant(kFALSE);
// ws->var("sigmaResSigO")->setConstant(kTRUE);
// ws->var("sigmaResSigM")->setConstant(kTRUE);
if(!inOpt.fracfix){
ws->var("fracRes2")->setConstant(kTRUE);
ws->var("fracRes3")->setConstant(kTRUE);
}
}
drawCtauSBPlots(ws, redDataSB, redDataSBL, redDataSBR, binDataCtErrSB, fitSB, fitSBL, fitSBR, inOpt);
}
// Fix below bkg variables in any case
if (inOpt.ctauBackground == 0) {
ws->var("fpm")->setConstant(kTRUE);
ws->var("fLiving")->setConstant(kTRUE);
} else if (inOpt.ctauBackground == 1 || inOpt.ctauBackground == 2) {
ws->var("fpmL")->setConstant(kTRUE);
ws->var("fLivingL")->setConstant(kTRUE);
ws->var("fpmR")->setConstant(kTRUE);
ws->var("fLivingR")->setConstant(kTRUE);
}
// *** Get NSig, NBkg, Bfraction and their errors
if (inOpt.prefitMass) {
if (inOpt.isPEE == 1) {
if (inOpt.ctauBackground == 0 || inOpt.ctauBackground == 2) {
fit2D = ws->pdf("totPDF_PEE")->fitTo(*redDataCut,Minos(0),Save(1),SumW2Error(kTRUE),NumCPU(8),ConditionalObservables(RooArgSet(*(ws->var("Jpsi_CtErr")))));
} else if (inOpt.ctauBackground == 1) {
fit2D = ws->pdf("totPDF_PEE")->fitTo(*redDataSIGWide,Minos(0),Save(1),SumW2Error(kTRUE),NumCPU(8),ConditionalObservables(RooArgSet(*(ws->var("Jpsi_CtErr")))));
}
} else {
fit2D = ws->pdf("totPDF")->fitTo(*redDataCut,Save(1),SumW2Error(kTRUE),NumCPU(8));
}
fit2D->Print("v");
nFitPar = fit2D->floatParsFinal().getSize();
theNLL = fit2D->minNll();
Bfrac_fin = ws->var("Bfrac")->getVal();
ErrBfrac_fin = ws->var("Bfrac")->getError();
if (ws->var("fracRes")) ws->var("fracRes")->setConstant(kTRUE);
ws->var("meanResSigW")->setConstant(kTRUE);
NSigNP_fin = NSig_fin * Bfrac_fin;
NSigPR_fin = NSig_fin * (1-Bfrac_fin);
ErrNSigNP_fin = NSigNP_fin * sqrt( pow(ErrNSig_fin/NSig_fin,2)+pow(ErrBfrac_fin/Bfrac_fin,2) );
ErrNSigPR_fin = NSigPR_fin * sqrt ( pow(ErrNSig_fin/NSig_fin,2)+pow(ErrBfrac_fin/(1.0-Bfrac_fin),2) );
} else {
fit2D = ws->pdf("totPDF")->fitTo(*redDataCut,Extended(1),Minos(0),Save(1),SumW2Error(kTRUE),NumCPU(8));
nFitPar = fit2D->floatParsFinal().getSize();
NSigNP_fin = ws->var("NSigNP")->getVal();
NSigPR_fin = ws->var("NSigPR")->getVal();
ErrNSigNP_fin = ws->var("NSigNP")->getError();
ErrNSigPR_fin = ws->var("NSigPR")->getError();
Bfrac_fin = NSigNP_fin/(NSigNP_fin+NSigPR_fin);
ErrBfrac_fin = sqrt( pow(NSigNP_fin*ErrNSigPR_fin,2) + pow(NSigPR_fin*ErrNSigNP_fin,2) ) / pow(NSigNP_fin+NSigPR_fin,2);
}
const double sigmaSig2 = ws->var("sigmaResSigN")->getVal();
const double ErrsigmaSig2 = ws->var("sigmaResSigN")->getError();
if (inOpt.oneGaussianResol) {
resol = sigmaSig2;
Errresol = ErrsigmaSig2;
} else {
const double coeffGaus = ws->var("fracRes")->getVal();
const double ErrcoeffGaus = ws->var("fracRes")->getError();
const double sigmaSig1 = ws->var("sigmaResSigW")->getVal();
const double ErrsigmaSig1 = ws->var("sigmaResSigW")->getError();
resol = sqrt( coeffGaus*pow(sigmaSig1,2) + (1-coeffGaus)*pow(sigmaSig2,2) );
Errresol = (0.5/resol) *
sqrt( pow(sigmaSig1*coeffGaus*ErrsigmaSig1,2) +
pow(sigmaSig2*(1-coeffGaus)*ErrsigmaSig2,2) +
pow(0.5*(pow(sigmaSig1,2)-pow(sigmaSig2,2))*ErrcoeffGaus,2) );
}
} // end of skipping ctau fitting
// To check values of fit parameters
cout << endl << "J/psi yields:" << endl;
cout << "NSig : Fit :" << NSig_fin << " +/- " << ErrNSig_fin << endl;
if (inOpt.doBfit) {
cout << "PROMPT : Fit : " << NSigPR_fin << " +/- " << ErrNSigPR_fin << endl;
cout << "NON-PROMPT : Fit : " << NSigNP_fin << " +/- " << ErrNSigNP_fin << endl;
cout << "Bfraction : Fit : " << Bfrac_fin << " +/- " << ErrBfrac_fin << endl;
cout << "Resolution : Fit : " << resol*1000. << " +/- " << Errresol*1000. << " mum" << endl;