void fit_mass(TString fileN="") {//suffix added before file extension, e.g., '.pdf'
TString placeholder;//to add strings before using them, e.g., for saving text files
gROOT->SetBatch(kTRUE);
gROOT->ProcessLine(".x /afs/cern.ch/user/m/mwilkins/cmtuser/src/lhcbStyle.C");
// gStyle->SetPadTickX(1);
// gStyle->SetPadTickY(1);
// gStyle->SetPadLeftMargin(0.15);
// gStyle->SetTextSize(0.3);
// //open file and get histogram
// TFile *inHistos = new TFile("/afs/cern.ch/work/m/mwilkins/Lb2JpsiLtr/data/histos_data.root", "READ");
// TH1F * h100 = (TH1F*)inHistos->Get("h70");
// cout<<"data histogram gotten"<<endl;
//unbinned
TFile *hastree = new TFile("/afs/cern.ch/work/m/mwilkins/Lb2JpsiLtr/data/cutfile_Optimized.root", "READ");
TTree * h100 = (TTree*)hastree->Get("mytree");
cout<<"tree gotten"<<endl;
TFile *SMChistos= new TFile("/afs/cern.ch/work/m/mwilkins/Lb2JpsiLtr/MC/withKScut/histos_SMCfile_fullMC.root", "READ");
cout<<"SMC file opened"<<endl;
TH1F *SMCh = (TH1F*)SMChistos->Get("h00");
cout<<"SMC hist gotten"<<endl;
RooRealVar *mass = new RooRealVar("Bs_LOKI_MASS_JpsiConstr","m(J/#psi #Lambda)",4100,6100,"MeV");
mass->setRange("bkg1",4300,4800);
mass->setRange("bkg2",5700,5950);
mass->setRange("bkg3",4300,5500);
mass->setRange("bkg4",5100,5500);
mass->setRange("L",5350,5950);
mass->setRange("tot",4300,5950);
cout<<"mass declared"<<endl;
// RooDataHist *data = new RooDataHist("data","1D",RooArgList(*mass),h100);
//unbinned
RooDataSet *data = new RooDataSet("data","1D",h100,*mass);
cout<<"data declared"<<endl;
RooDataHist *SMC = new RooDataHist("SMC","1D",RooArgList(*mass),SMCh);
cout<<"SMC hist assigned to RooDataHist"<<endl;
// Construct Pdf Model
// /\0
//gaussian
RooRealVar mean1L("mean1L","/\\ gaus 1: mean",5621.103095,5525,5700);
RooRealVar sig1L("sig1L","/\\ gaus 1: sigma",6.898126,0,100);
RooGaussian gau1L("gau1L","#Lambda signal: gaussian 1",*mass,mean1L,sig1L);
RooFormulaVar mean2L("mean2L","@0",mean1L);
RooRealVar sig2L("sig2L","/\\ gaus 2: sigma",14.693117,0,100);
RooGaussian gau2L("gau2L","#Lambda signal: gaussian 2",*mass,mean2L,sig2L);
RooRealVar f1L("f1L","/\\ signal: fraction gaussian 1",0.748776,0,1);
RooAddPdf sigL("sigL","#Lambda signal",RooArgList(gau1L,gau2L),RooArgList(f1L));
// //CB
// RooRealVar mean3L("mean3L","/\\ CB: mean",5621.001,5525,5700);
// RooRealVar sig3L("sig3L","/\\ CB: sigma",5.161,0,100);
// RooRealVar alphaL3("alphaL3","/\\ CB: alpha",2.077,0,1000);
// RooRealVar nL3("nL1","/\\ CB: n",0.286,0,1000);
// RooCBShape CBL("CBL","#Lambda signal: CB",*mass,mean3L,sig3L,alphaL3,nL3);
// RooRealVar mean4L("mean4L","/\\ gaus: mean",5621.804,5525,5700);
// RooRealVar sig4L("sig4L","/\\ gaus: sigma",10.819,0,100);
// RooGaussian gauL("gauL","#Lambda signal: gaussian",*mass,mean4L,sig4L);
// RooRealVar f1L("f1L","/\\ signal: fraction CB",0.578,0,1);
// RooAddPdf sigL("sigL","#Lambda signal",RooArgList(CBL,gauL),RooArgList(f1L));
// sigma0
//using RooHistPdf from MC--no need to build pdf here
RooHistPdf sigS = makeroohistpdf(SMC,mass,"sigS","#Sigma^{0} signal (RooHistPdf)");
// /\*
cout<<"Lst stuff"<<endl;
RooRealVar meanLst1("meanLst1","/\\*(misc.): mean1",5011.031237,4900,5100);
RooRealVar sigLst1("sigLst1","/\\*(misc.): sigma1",70.522092,0,100);
RooRealVar meanLst2("mean5Lst2","/\\*(1405): mean2",5245.261703,5100,5350);
RooRealVar sigLst2("sigLst2","/\\*(1405): sigma2",64.564763,0,100);
RooRealVar alphaLst2("alphaLst2","/\\*(1405): alpha2",29.150301);
RooRealVar nLst2("nLst2","/\\*(1405): n2",4.615817,0,50);
RooGaussian gauLst1("gauLst1","#Lambda*(misc.), gaus",*mass,meanLst1,sigLst1);
RooCBShape gauLst2("gauLst2","#Lambda*(1405), CB",*mass,meanLst2,sigLst2,alphaLst2,nLst2);
// RooRealVar fLst1("fLst1","/\\* bkg: fraction gaus 1",0.743,0,1);
// RooAddPdf bkgLst("bkgLst","#Lambda* signal",RooArgList(gauLst1,gauLst2),RooArgList(fLst1));
//Poly func BKG mass
// RooRealVar b0("b0","Background: Chebychev b0",-1.071,-10000,10000);
RooRealVar b1("b1","Background: Chebychev b1",-1.323004,-10,-0.00000000000000000000001);
RooRealVar b2("b2","Background: Chebychev b2",0.145494,0,10);
RooRealVar b3("b3","Background: Chebychev b3",-0.316,-10000,10000);
RooRealVar b4("b4","Background: Chebychev b4",0.102,-10000,10000);
RooRealVar b5("b5","Background: Chebychev b5",0.014,-10000,10000);
RooRealVar b6("b6","Background: Chebychev b6",-0.015,-10000,10000);
RooRealVar b7("b7","Background: Chebychev b7",0.012,-10000,10000);
RooArgList bList(b1,b2);
RooChebychev bkg("bkg","Background", *mass, bList);
// TF1 *ep = new TF1("ep","[2]*exp([0]*x+[1]*x*x)",4300,5950);
// ep->SetParameter(0,1);
// ep->SetParameter(1,-1);
// ep->SetParameter(2,2000);
// ep->SetParName(0,"a");
// ep->SetParName(1,"b");
// ep->SetParName(2,"c");
// RooRealVar a("a","Background: Coefficent of x",1,-10000,10000);
// RooRealVar b("b","Background: Coefficent of x*x",-1,-10000,10000);
// RooRealVar c("c","Background: Coefficent of exp()",2000,-10000,10000);
// RooTFnPdfBinding bkg("ep","ep",ep,RooArgList(*mass,a,b));
//number of each shape
RooRealVar nbkg("nbkg","N bkg",2165.490249,0,100000000);
RooRealVar nsigL("nsigL","N /\\",1689.637290,0,1000000000);
RooRealVar nsigS("nsigS","N sigma",0.000002,0,10000000000);
RooRealVar ngauLst1("ngauLst1","N /\\*(misc.)",439.812103,0,10000000000);
RooRealVar ngauLst2("ngauLst2","N /\\*(1405)",152.061617,0,10000000000);
RooRealVar nbkgLst("nbkgLst","N /\\*",591.828,0,1000000000);
//add shapes and their number to a totalPdf
RooArgList shapes;
RooArgList yields;
shapes.add(sigL); yields.add(nsigL);
shapes.add(sigS); yields.add(nsigS);
// shapes.add(bkgLst); yields.add(nbkgLst);
shapes.add(gauLst1); yields.add(ngauLst1);
shapes.add(gauLst2); yields.add(ngauLst2);
shapes.add(bkg); yields.add(nbkg);
RooAddPdf totalPdf("totalPdf","totalPdf",shapes,yields);
//fit the totalPdf
RooAbsReal * nll = totalPdf.createNLL(*data,Extended(kTRUE),Range("tot"));
RooMinuit m(*nll);
m.setVerbose(kFALSE);
m.migrad();
m.minos();
m.minos();
//display and save information
ofstream textfile;//create text file to hold data
placeholder = "plots/fit"+fileN+".txt";
textfile.open(placeholder);
TString outputtext;//for useful text
//plot things
RooPlot *framex = mass->frame();
framex->GetYaxis()->SetTitle("Events/(5 MeV)");
data->plotOn(framex,Name("Hist"),MarkerColor(kBlack),LineColor(kBlack),DataError(RooAbsData::SumW2));
totalPdf.plotOn(framex,Name("curvetot"),LineColor(kBlue));
RooArgSet* totalPdfComponents = totalPdf.getComponents();
TIterator* itertPC = totalPdfComponents->createIterator();
RooAddPdf* vartPC = (RooAddPdf*) itertPC->Next();
vartPC = (RooAddPdf*) itertPC->Next();//skip totalPdf
int i=0;//color index
TLegend *leg = new TLegend(0.2, 0.02, .4, .42);
leg->SetTextSize(0.06);
leg->AddEntry(framex->findObject("curvetot"),"Total PDF","l");
while(vartPC){//loop over compotents of totalPdf
TString vartPCtitle = vartPC->GetTitle();
TIterator* itercompPars;//forward declare so it persists outside the if statement
RooRealVar* varcompPars;
if(!(vartPCtitle.Contains(":")||vartPCtitle.Contains("@"))){//only for non-sub-shapes
while(i==0||i==10||i==4||i==1||i==5||(i>=10&&i<=27))i++;//avoid white and blue and black and yellow and horribleness
RooArgSet* compPars = vartPC->getParameters(data);//set of the parameters of the component the loop is on
itercompPars = compPars->createIterator();
varcompPars = (RooRealVar*) itercompPars->Next();
while(varcompPars){//write and print mean, sig, etc. of sub-shapes
TString vartitle = varcompPars->GetTitle();
double varval = varcompPars->getVal();
TString varvalstring = Form("%f",varval);
double hi = varcompPars->getErrorHi();
TString varerrorstring = "[exact]";
if(hi!=-1){
double lo = varcompPars->getErrorLo();
double varerror = TMath::Max(fabs(lo),hi);
varerrorstring = Form("%E",varerror);
}
outputtext = vartitle+" = "+varvalstring+" +/- "+varerrorstring;
textfile<<outputtext<<endl;
cout<<outputtext<<endl;
varcompPars = (RooRealVar*) itercompPars->Next();
}
totalPdf.plotOn(framex,Name(vartPC->GetName()),LineStyle(kDashed),LineColor(i),Components(vartPC->GetName()));
leg->AddEntry(framex->findObject(vartPC->GetName()),vartPCtitle,"l");
i++;
}
vartPC = (RooAddPdf*) itertPC->Next();
itercompPars->Reset();//make sure it's ready for the next vartPC
}
// Calculate chi2/ndf
RooArgSet *floatpar = totalPdf.getParameters(data);
int floatpars = (floatpar->selectByAttrib("Constant",kFALSE))->getSize();
Double_t chi2 = framex->chiSquare("curvetot","Hist",floatpars);
TString chi2string = Form("%f",chi2);
//create text box to list important parameters on the plot
// TPaveText* txt = new TPaveText(0.1,0.5,0.7,0.9,"NBNDC");
// txt->SetTextSize(0.06);
// txt->SetTextColor(kBlack);
// txt->SetBorderSize(0);
// txt->SetFillColor(0);
// txt->SetFillStyle(0);
outputtext = "#chi^{2}/N_{DoF} = "+chi2string;
cout<<outputtext<<endl;
textfile<<outputtext<<endl;
// txt->AddText(outputtext);
// Print stuff
TIterator* iteryields = yields.createIterator();
RooRealVar* varyields = (RooRealVar*) iteryields->Next();//only inherits things from TObject unless class specified
vector<double> Y, E;//holds yields and associated errors
vector<TString> YS, ES;//holds strings of the corresponding yields
int j=0;//count vector position
int jS=0, jL=0;//these hold the position of the S and L results;initialized in case there is no nsigS or nsigL
while(varyields){//loop over yields
TString varname = varyields->GetName();
TString vartitle = varyields->GetTitle();
double varval = varyields->getVal();
Y.push_back(varval);
double lo = varyields->getErrorLo();
double hi = varyields->getErrorHi();
E.push_back(TMath::Max(fabs(lo),hi));
YS.push_back(Form("%f",Y[j]));
ES.push_back(Form("%f",E[j]));
if(varname=="nsigS") jS=j;
if(varname=="nsigL") jL=j;
outputtext = vartitle+" = "+YS[j]+" +/- "+ES[j];
cout<<outputtext<<endl;
textfile<<outputtext<<endl;
//txt->AddText(outputtext);
varyields = (RooRealVar*) iteryields->Next();
j++;
}
//S/L
double result = Y[jS]/Y[jL];
cout<<"result declared"<<endl;
double E_result = TMath::Abs(result)*sqrt(pow(E[jS]/Y[jS],2)+pow(E[jL]/Y[jL],2));
cout<<"E_result declared"<<endl;
TString resultstring = Form("%E",result);
TString E_resultstring = Form("%E",E_result);
outputtext = "Y_{#Sigma^{0}}/Y_{#Lambda} = "+resultstring+" +/- "+E_resultstring;
cout<<outputtext<<endl;
textfile<<outputtext<<endl;
//txt->AddText(outputtext);
double resultlimit = (Y[jS]+E[jS])/(Y[jL]-E[jL]);
outputtext = Form("%E",resultlimit);
outputtext = "limit = "+outputtext;
cout<<outputtext<<endl;
textfile<<outputtext<<endl;
//txt->AddText(outputtext);
// Create canvas and pads, set style
TCanvas *c1 = new TCanvas("c1","data fits",1200,800);
TPad *pad1 = new TPad("pad1","pad1",0.0,0.3,1.0,1.0);
TPad *pad2 = new TPad("pad2","pad2",0.0,0.0,1.0,0.3);
pad1->SetBottomMargin(0);
pad2->SetTopMargin(0);
pad2->SetBottomMargin(0.5);
pad2->SetBorderMode(0);
pad1->SetBorderMode(0);
c1->SetBorderMode(0);
pad2->Draw();
pad1->Draw();
pad1->cd();
framex->SetMinimum(1);
framex->SetMaximum(3000);
framex->addObject(leg);//add legend to frame
//framex->addObject(txt);//add text to frame
gPad->SetTopMargin(0.06);
pad1->SetLogy();
// pad1->Range(4100,0,6100,0.0005);
pad1->Update();
framex->Draw();
// Pull distribution
RooPlot *framex2 = mass->frame();
RooHist* hpull = framex->pullHist("Hist","curvetot");
framex2->addPlotable(hpull,"P");
hpull->SetLineColor(kBlack);
hpull->SetMarkerColor(kBlack);
framex2->SetTitle(0);
framex2->GetYaxis()->SetTitle("Pull");
framex2->GetYaxis()->SetTitleSize(0.15);
framex2->GetYaxis()->SetLabelSize(0.15);
framex2->GetXaxis()->SetTitleSize(0.2);
framex2->GetXaxis()->SetLabelSize(0.15);
framex2->GetYaxis()->CenterTitle();
framex2->GetYaxis()->SetTitleOffset(0.45);
framex2->GetXaxis()->SetTitleOffset(1.1);
framex2->GetYaxis()->SetNdivisions(505);
framex2->GetYaxis()->SetRangeUser(-8.8,8.8);
pad2->cd();
framex2->Draw();
c1->cd();
placeholder = "plots/fit"+fileN+".eps";
c1->Print(placeholder);
placeholder = "plots/fit"+fileN+".C";
c1->SaveAs(placeholder);
textfile.close();
}
void rf505_asciicfg()
{
// C r e a t e p d f
// ------------------
// Construct gauss(x,m,s)
RooRealVar x("x","x",-10,10) ;
RooRealVar m("m","m",0,-10,10) ;
RooRealVar s("s","s",1,-10,10) ;
RooGaussian gauss("g","g",x,m,s) ;
// Construct poly(x,p0)
RooRealVar p0("p0","p0",0.01,0.,1.) ;
RooPolynomial poly("p","p",x,p0) ;
// Construct model = f*gauss(x) + (1-f)*poly(x)
RooRealVar f("f","f",0.5,0.,1.) ;
RooAddPdf model("model","model",RooArgSet(gauss,poly),f) ;
// F i t m o d e l t o t o y d a t a
// -----------------------------------------
RooDataSet* d = model.generate(x,1000) ;
model.fitTo(*d) ;
// W r i t e p a r a m e t e r s t o a s c i i f i l e
// -----------------------------------------------------------
// Obtain set of parameters
RooArgSet* params = model.getParameters(x) ;
// Write parameters to file
params->writeToFile("rf505_asciicfg_example.txt") ;
TString dir1 = gROOT->GetTutorialsDir() ;
dir1.Append("/roofit/rf505_asciicfg.txt") ;
TString dir2 = gROOT->GetTutorialsDir() ;
dir2.Append("/roofit/rf505_asciicfg_example.txt") ;
// R e a d p a r a m e t e r s f r o m a s c i i f i l e
// ----------------------------------------------------------------
// Read parameters from file
params->readFromFile(dir2) ;
params->Print("v") ;
// Read parameters from section 'Section2' of file
params->readFromFile(dir1,0,"Section2") ;
params->Print("v") ;
// Read parameters from section 'Section3' of file. Mark all
// variables that were processed with the "READ" attribute
params->readFromFile(dir1,"READ","Section3") ;
// Print the list of parameters that were not read from Section3
cout << "The following parameters of the were _not_ read from Section3: "
<< (*params->selectByAttrib("READ",kFALSE)) << endl ;
// Read parameters from section 'Section4' of file, which contains
// 'include file' statement of rf505_asciicfg_example.txt
// so that we effective read the same
params->readFromFile(dir1,0,"Section4") ;
params->Print("v") ;
}
void fitpeaks(int bin){
switch (bin)
{
case 0:
cut_="abs(upsRapidity)<2.4";
//cut_="( (muPlusPt>3.5 && abs(muPlusEta)<1.6) || (muPlusPt>2.5 && abs(muPlusEta)>=1.6 && abs(muPlusEta)<2.4) ) && ( (muMinusPt>3.5 && abs(muMinusEta)<1.6) || (muMinusPt>2.5 && abs(muMinusEta)>=1.6 && abs(muMinusEta)<2.4) ) && abs(upsRapidity)<2.0"; //pp acceptance for Upsilon
suffix_="";
f2Svs1S_pp->setVal(0.5569);
//f2Svs1S_pp->setVal(0);
f3Svs1S_pp->setVal(0.4140);
//f3Svs1S_pp->setVal(0);
break;
case 1:
cut_="abs(upsRapidity)>=0.0 && abs(upsRapidity)<1.2";
suffix_="_eta0-12"; binw_=0.14;
break;
case 2:
cut_="abs(upsRapidity)>=1.2 && abs(upsRapidity)<2.4";
suffix_="_eta12-24"; binw_=0.14;
break;
case 3:
cut_="Centrality>=0 && Centrality<2";
suffix_="_cntr0-5"; binw_=0.14;
break;
case 4:
cut_="Centrality>=2 && Centrality<4";
suffix_="_cntr5-10"; binw_=0.14;
break;
case 5:
cut_="Centrality>=4 && Centrality<8";
suffix_="_cntr10-20"; binw_=0.14;
break;
case 6:
cut_="Centrality>=8 && Centrality<12";
suffix_="_cntr20-30"; binw_=0.14;
break;
case 7:
cut_="Centrality>=12 && Centrality<16";
suffix_="_cntr30-40"; binw_=0.14;
break;
case 8:
cut_="Centrality>=16 && Centrality<20";
suffix_="_cntr40-50"; binw_=0.14;
break;
case 9:
cut_="Centrality>=20 && Centrality<50";
suffix_="_cntr50-100"; binw_=0.14;
break;
case 10:
cut_="Centrality>=20 && Centrality<24";
suffix_="_cntr50-60"; binw_=0.14;
break;
case 11:
cut_="Centrality>=0 && Centrality<8";
suffix_="_cntr0-20"; binw_=0.1;
break;
case 12:
cut_="Centrality>=16 && Centrality<50";
suffix_="_cntr40-100"; binw_=0.14;
break;
case 13:
cut_="Centrality>=8 && Centrality<50";
suffix_="_cntr20-100"; binw_=0.1;
break;
default:
cout<<"error in binning"<<endl;
break;
}
cout << "oniafitter processing"
<< "\n\tInput: \t" << finput
<< "\n\tresults:\t" << figs_
<< endl;
ofstream outfile("fitresults.out", ios_base::app);
outfile<<endl<<"**********"<<suffix_<<"**********"<<endl<<endl;
//read the data
TFile f(finput,"read");
gDirectory->Cd(finput+":/"+dirname_);
TTree* theTree = (TTree*)gROOT->FindObject("UpsilonTree");
TTree* allsignTree = (TTree*)gROOT->FindObject("UpsilonTree_allsign");
if (PR_plot) {TRKROT = 1; PbPb=1;}
if (TRKROT) TTree* trkRotTree = (TTree*)gROOT->FindObject("UpsilonTree_trkRot");
RooRealVar* mass = new RooRealVar("invariantMass","#mu#mu mass",mmin_,mmax_,"GeV/c^{2}");
RooRealVar* upsPt = new RooRealVar("upsPt","p_{T}(#Upsilon)",0,60,"GeV");
RooRealVar* upsEta = new RooRealVar("upsEta", "upsEta" ,-7,7);
RooRealVar* upsRapidity = new RooRealVar("upsRapidity", "upsRapidity" ,-2.4,2.4);
RooRealVar* vProb = new RooRealVar("vProb", "vProb" ,0.05,1.00);
RooRealVar* QQsign = new RooRealVar("QQsign", "QQsign" ,-1,5);
RooRealVar* weight = new RooRealVar("weight", "weight" ,-2,2);
if (PbPb) RooRealVar* Centrality = new RooRealVar("Centrality", "Centrality" ,0,40);
RooRealVar* muPlusPt = new RooRealVar("muPlusPt","muPlusPt",muonpTcut,50);
RooRealVar* muPlusEta = new RooRealVar("muPlusEta","muPlusEta",-2.5,2.5);
RooRealVar* muMinusPt = new RooRealVar("muMinusPt","muMinusPt",muonpTcut,50);
RooRealVar* muMinusEta = new RooRealVar("muMinusEta","muMinusEta",-2.5,2.5);
//import unlike-sign data set
RooDataSet* data0, *data, *likesignData0, *likesignData, *TrkRotData0, *TrkRotData;
if (PbPb) data0 = new RooDataSet("data","data",theTree,RooArgSet(*mass,*upsRapidity,*vProb,*upsPt,*Centrality,*muPlusPt,*muMinusPt));
//data0 = new RooDataSet("data","data",theTree,RooArgSet(*mass,*upsRapidity,*upsPt,*muPlusPt,*muMinusPt,*QQsign,*weight));
else data0 = new RooDataSet("data","data",theTree,RooArgSet(*mass,*upsRapidity,*vProb,*upsPt,*muPlusPt,*muMinusPt,*muPlusEta,*muMinusEta));
data0->Print();
data = ( RooDataSet*) data0->reduce(Cut(cut_));
data->Print();
//import like-sign data set
if (PbPb) likesignData0 = new RooDataSet("likesignData","likesignData",allsignTree,RooArgSet(*mass,*upsRapidity,*vProb,*upsPt,*Centrality,*muPlusPt,*muMinusPt,*QQsign));
else likesignData0 = new RooDataSet("likesignData","likesignData",allsignTree,RooArgSet(*mass,*upsRapidity,*vProb,*upsPt,*muPlusPt,*muMinusPt,*QQsign));
likesignData0->Print();
likesignData = ( RooDataSet*) likesignData0->reduce(Cut(cut_+" && QQsign != 0"));
likesignData->Print();
//import track-rotation data set
if (TRKROT) {
if (PbPb) TrkRotData0 = new RooDataSet("TrkRotData","TrkRotData",trkRotTree,RooArgSet(*mass,*upsRapidity,*vProb,*upsPt,*Centrality,*muPlusPt,*muMinusPt,*QQsign));
else TrkRotData0 = new RooDataSet("TrkRotData","TrkRotData",trkRotTree,RooArgSet(*mass,*upsRapidity,*upsPt,*vProb,*muPlusPt,*muMinusPt,*QQsign));
TrkRotData0->Print();
if (PR_plot && RAA) TrkRotData = ( RooDataSet*) TrkRotData0->reduce(Cut(cut_+" && upsPt < 8.1"));
else if (PR_plot && !RAA) TrkRotData = ( RooDataSet*) TrkRotData0->reduce(Cut(cut_+" && upsPt < 7.07"));
else TrkRotData = ( RooDataSet*) TrkRotData0->reduce(Cut(cut_+" && QQsign != 0"));
TrkRotData->Print();
}
mass->setRange("R1",7.0,10.2);
mass->setRange("R2",7,14);
mass->setRange("R3",10.8,14);
const double M1S = 9.46; //upsilon 1S pgd mass value
const double M2S = 10.02; //upsilon 2S pgd mass value
const double M3S = 10.35; //upsilon 3S pgd mass value
RooRealVar *mean = new RooRealVar("#mu_{#Upsilon(1S)}","#Upsilon mean",M1S,M1S-0.1,M1S+0.1);
RooRealVar *shift21 = new RooRealVar("shift2","mass diff #Upsilon(1,2S)",M2S-M1S);
RooRealVar *shift31 = new RooRealVar("shift3","mass diff #Upsilon(1,3S)",M3S-M1S);
RooRealVar *mscale = new RooRealVar("mscale","mass scale factor",1.,0.7,1.3);
mscale->setConstant(kTRUE); /* the def. parameter value is fixed in the fit */
RooFormulaVar *mean1S = new RooFormulaVar("mean1S","@0",
RooArgList(*mean));
RooFormulaVar *mean2S = new RooFormulaVar("mean2S","@[email protected]*@2",
RooArgList(*mean,*mscale,*shift21));
RooFormulaVar *mean3S = new RooFormulaVar("mean3S","@[email protected]*@2",
RooArgList(*mean,*mscale,*shift31));
RooRealVar *sigma1 = new RooRealVar("sigma","Sigma_1",0.10,0.01,0.30); //detector resolution
RooRealVar *sigma2 = new RooRealVar("#sigma_{#Upsilon(1S)}","Sigma_1S",0.08,0.01,0.30); //Y(1S) resolution
RooFormulaVar *reso1S = new RooFormulaVar("reso1S","@0" ,RooArgList(*sigma2));
RooFormulaVar *reso2S = new RooFormulaVar("reso2S","@0*10.023/9.460",RooArgList(*sigma2));
RooFormulaVar *reso3S = new RooFormulaVar("reso3S","@0*10.355/9.460",RooArgList(*sigma2));
/// to describe final state radiation tail on the left of the peaks
RooRealVar *alpha = new RooRealVar("alpha","tail shift",0.982,0,2.4); // minbias fit value
//RooRealVar *alpha = new RooRealVar("alpha","tail shift",1.6,0.2,4); // MC value
RooRealVar *npow = new RooRealVar("npow","power order",2.3,1,3); // MC value
npow ->setConstant(kTRUE);
if (!fitMB) alpha->setConstant(kTRUE);
// relative fraction of the two peak components
RooRealVar *sigmaFraction = new RooRealVar("sigmaFraction","Sigma Fraction",0.3,0.,1.);
sigmaFraction->setVal(0);
sigmaFraction->setConstant(kTRUE);
/// Upsilon 1S
//RooCBShape *gauss1S1 = new RooCBShape ("gauss1S1", "FSR cb 1s",
// *mass,*mean1S,*sigma1,*alpha,*npow);
RooCBShape *gauss1S2 = new RooCBShape ("gauss1S2", "FSR cb 1s",
*mass,*mean1S,*reso1S,*alpha,*npow);
//RooAddPdf *sig1S = new RooAddPdf ("sig1S","1S mass pdf",
// RooArgList(*gauss1S1,*gauss1S2),*sigmaFraction);
//mean->setVal(9.46);
//mean->setConstant(kTRUE);
sigma1->setVal(0);
sigma1->setConstant(kTRUE);
if (!fitMB) {
sigma2->setVal(width_); //fix the resolution
sigma2->setConstant(kTRUE);
}
/// Upsilon 2S
RooCBShape *gauss2S1 = new RooCBShape ("gauss2S1", "FSR cb 2s",
*mass,*mean2S,*sigma1,*alpha,*npow);
RooCBShape *gauss2S2 = new RooCBShape ("gauss2S2", "FSR cb 2s",
*mass,*mean2S,*reso2S,*alpha,*npow);
RooAddPdf *sig2S = new RooAddPdf ("sig2S","2S mass pdf",
RooArgList(*gauss2S1,*gauss2S2),*sigmaFraction);
/// Upsilon 3S
RooCBShape *gauss3S1 = new RooCBShape ("gauss3S1", "FSR cb 3s",
*mass,*mean3S,*sigma1,*alpha,*npow);
RooCBShape *gauss3S2 = new RooCBShape ("gauss3S2", "FSR cb 3s",
*mass,*mean3S,*reso3S,*alpha,*npow);
RooAddPdf *sig3S = new RooAddPdf ("sig3S","3S mass pdf",
RooArgList(*gauss3S1,*gauss3S2),*sigmaFraction);
/// Background
RooRealVar *bkg_a1 = new RooRealVar("bkg_{a1}", "background a1", 0, -2, 2);
RooRealVar *bkg_a2 = new RooRealVar("bkg_{a2}", "background a2", 0, -1, 1);
//RooRealVar *bkg_a3 = new RooRealVar("bkg_{a3}", "background a3", 0, -1, 1);
RooAbsPdf *bkgPdf = new RooChebychev("bkg","background",
*mass, RooArgList(*bkg_a1,*bkg_a2));
//bkg_a1->setVal(0);
//bkg_a1->setConstant(kTRUE);
//bkg_a2->setVal(0);
//bkg_a2->setConstant(kTRUE); //set constant for liner background
// only sideband region pdf, using RooPolynomial instead of RooChebychev for multiple ranges fit
RooRealVar *SB_bkg_a1 = new RooRealVar("SB bkg_{a1}", "background a1", 0, -1, 1);
RooRealVar *SB_bkg_a2 = new RooRealVar("SB bkg_{a2}", "background a2", 0, -1, 1);
RooAbsPdf *SB_bkgPdf = new RooPolynomial("SB_bkg","side-band background",
*mass, RooArgList(*SB_bkg_a1,*SB_bkg_a2));
//SB_bkg_a1->setVal(0);
//SB_bkg_a1->setConstant(kTRUE);
//SB_bkg_a2->setVal(0);
//SB_bkg_a2->setConstant(kTRUE);
/// Combined pdf
int nt = 100000;
//bool fitfraction = true;
RooRealVar *nbkgd = new RooRealVar("N_{bkg}","nbkgd",nt*0.75,0,10*nt);
RooRealVar *SB_nbkgd = new RooRealVar("SB N_{bkg}","SB_nbkgd",nt*0.75,0,10*nt);
RooRealVar *nsig1f = new RooRealVar("N_{#Upsilon(1S)}","nsig1S",nt*0.25,0,10*nt);
/*
//use the YIELDs of 2S and 3S as free parameters
RooRealVar *nsig2f = new RooRealVar("N_{#Upsilon(2S)}","nsig2S", nt*0.25,-1*nt,10*nt);
RooRealVar *nsig3f = new RooRealVar("N_{#Upsilon(3S)}","nsig3S", nt*0.25,-1*nt,10*nt);
*/
//use the RATIOs of 2S and 3S as free parameters
RooRealVar *f2Svs1S = new RooRealVar("N_{2S}/N_{1S}","f2Svs1S",0.21,-0.1,1);
//RooRealVar *f3Svs1S = new RooRealVar("N_{3S}/N_{1S}","f3Svs1S",0.0,-0.1,0.5);
RooRealVar *f23vs1S = new RooRealVar("N_{2S+3S}/N_{1S}","f23vs1S",0.45,-0.1,1);
RooFormulaVar *nsig2f = new RooFormulaVar("nsig2S","@0*@1", RooArgList(*nsig1f,*f2Svs1S));
//RooFormulaVar *nsig3f = new RooFormulaVar("nsig3S","@0*@1", RooArgList(*nsig1f,*f3Svs1S));
RooFormulaVar *nsig3f = new RooFormulaVar("nsig3S","@0*@[email protected]*@1", RooArgList(*nsig1f,*f2Svs1S,*f23vs1S));
//f3Svs1S->setConstant(kTRUE);
//force the ratio to the pp value
f2Svs1S_pp->setConstant(kTRUE);
f3Svs1S_pp->setConstant(kTRUE);
RooFormulaVar *nsig2f_ = new RooFormulaVar("nsig2S_pp","@0*@1", RooArgList(*nsig1f,*f2Svs1S_pp));
RooFormulaVar *nsig3f_ = new RooFormulaVar("nsig3S_pp","@0*@1", RooArgList(*nsig1f,*f3Svs1S_pp));
//only sideband region pdf, using RooPolynomial instead of RooChebychev for multiple ranges fit
RooAbsPdf *SB_pdf = new RooAddPdf ("SB_pdf","sideband background pdf",
RooArgList(*SB_bkgPdf),
RooArgList(*SB_nbkgd));
//only signal region pdf, using RooPolynomial instead of RooChebychev for multiple ranges fit
RooAbsPdf *S_pdf = new RooAddPdf ("S_pdf","total signal+background pdf",
RooArgList(*gauss1S2,*sig2S,*sig3S,*SB_bkgPdf),
RooArgList(*nsig1f,*nsig2f,*nsig3f,*SB_nbkgd));
//parameters for likesign
RooRealVar m0shift("turnOn","turnOn",8.6,0,20.) ;
RooRealVar width("width","width",2.36,0,20.) ;
RooRealVar par3("decay","decay",6.8, 0, 20.) ;
RooGaussian* m0shift_constr;
RooGaussian* width_constr;
RooGaussian* par3_constr;
RooRealVar *nLikesignbkgd = new RooRealVar("NLikesign_{bkg}","nlikesignbkgd",nt*0.75,0,10*nt);
if (TRKROT) {
nLikesignbkgd->setVal(TrkRotData->sumEntries());
nLikesignbkgd->setError(sqrt(TrkRotData->sumEntries()));
}
else {
nLikesignbkgd->setVal(likesignData->sumEntries());
nLikesignbkgd->setError(sqrt(likesignData->sumEntries()));
}
if (LS_constrain) {
RooGaussian* nLikesignbkgd_constr = new RooGaussian("nLikesignbkgd_constr","nLikesignbkgd_constr",*nLikesignbkgd,RooConst(nLikesignbkgd->getVal()),RooConst(nLikesignbkgd->getError()));
}
else nLikesignbkgd->setConstant(kTRUE);
RooFormulaVar *nResidualbkgd = new RooFormulaVar("NResidual_{bkg}","@[email protected]",RooArgList(*nbkgd,*nLikesignbkgd));
switch (bkgdModel) {
case 1 : //use error function to fit the like-sign, then fix the shape and normailization,
RooGenericPdf *LikeSignPdf = new RooGenericPdf("Like-sign","likesign","exp([email protected]/decay)*(TMath::Erf((@0-turnOn)/width)+1)",RooArgList(*mass,m0shift,width,par3));
if (TRKROT) RooFitResult* fit_1st = LikeSignPdf->fitTo(*TrkRotData,Save()) ;
else RooFitResult* fit_1st = LikeSignPdf->fitTo(*likesignData,Save()) ; // likesign data
//LikeSignPdf.fitTo(*data) ; // unlikesign data
//fit_1st->Print();
if (LS_constrain) {
m0shift_constr = new RooGaussian("m0shift_constr","m0shift_constr",m0shift,RooConst(m0shift.getVal()),RooConst(m0shift.getError()));
width_constr = new RooGaussian("width_constr","width_constr",width,RooConst(width.getVal()),RooConst(width.getError()));
par3_constr = new RooGaussian("par3_constr","par3_constr",par3,RooConst(par3.getVal()),RooConst(par3.getError()));
//m0shift_constr = new RooGaussian("m0shift_constr","m0shift_constr",m0shift,RooConst(7.9),RooConst(0.34*2));
//width_constr = new RooGaussian("width_constr","width_constr",width,RooConst(2.77),RooConst(0.38*2));
//par3_constr = new RooGaussian("par3_constr","par3_constr",par3,RooConst(6.3),RooConst(1.0*2));
}
else {
m0shift.setConstant(kTRUE);
width.setConstant(kTRUE);
par3.setConstant(kTRUE);
}
RooAbsPdf *pdf_combinedbkgd = new RooAddPdf ("pdf_combinedbkgd","total combined background pdf",
RooArgList(*bkgPdf,*LikeSignPdf),
RooArgList(*nResidualbkgd,*nLikesignbkgd));
//RooArgList(*LikeSignPdf),
//RooArgList(*nbkgd));
break;
case 2 : //use RooKeysPdf to smooth the like-sign, then fix the shape and normailization
if (TRKROT) RooKeysPdf *LikeSignPdf = new RooKeysPdf("Like-sign","likesign",*mass,*TrkRotData,3,1.5);
else RooKeysPdf *LikeSignPdf = new RooKeysPdf("Like-sign","likesign",*mass,*likesignData,3,1.7);
RooAbsPdf *pdf_combinedbkgd = new RooAddPdf ("pdf_combinedbkgd","total combined background pdf",
RooArgList(*bkgPdf,*LikeSignPdf),
RooArgList(*nResidualbkgd,*nLikesignbkgd));
break;
case 3 : //use error function to fit the unlike-sign directly
RooGenericPdf *LikeSignPdf = new RooGenericPdf("Like-sign","likesign","exp([email protected]/decay)*(TMath::Erf((@0-turnOn)/width)+1)",RooArgList(*mass,m0shift,width,par3));
RooAbsPdf *pdf_combinedbkgd = new RooAddPdf ("pdf_combinedbkgd","total combined background pdf",
RooArgList(*LikeSignPdf),
RooArgList(*nbkgd));
break;
case 4 : //use polynomial to fit the unlike-sign directly
RooAbsPdf *pdf_combinedbkgd = new RooAddPdf ("pdf_combinedbkgd","total combined background pdf",
RooArgList(*bkgPdf),
RooArgList(*nbkgd));
break;
case 5 : //use ( error function + polynomial ) to fit the unlike-sign directly
RooGenericPdf *LikeSignPdf = new RooGenericPdf("Like-sign","likesign","exp([email protected]/decay)*(TMath::Erf((@0-turnOn)/width)+1)",RooArgList(*mass,m0shift,width,par3));
RooAbsPdf *pdf_combinedbkgd = new RooAddPdf ("pdf_combinedbkgd","total combined background pdf",
RooArgList(*bkgPdf,*LikeSignPdf),
RooArgList(*nResidualbkgd,*nLikesignbkgd));
break;
default :
break;
}
//pdf with fixed ratio of the pp ratio
RooAbsPdf *pdf_pp = new RooAddPdf ("pdf_pp","total signal+background pdf",
RooArgList(*gauss1S2,*sig2S,*sig3S,*pdf_combinedbkgd),
RooArgList(*nsig1f,*nsig2f_,*nsig3f_,*nbkgd));
//the nominal fit with default pdf
if (LS_constrain) {
RooAbsPdf *pdf_unconstr = new RooAddPdf ("pdf_unconstr","total signal+background pdf",
RooArgList(*gauss1S2,*sig2S,*sig3S,*pdf_combinedbkgd),
RooArgList(*nsig1f,*nsig2f,*nsig3f,*nbkgd));
RooProdPdf *pdf = new RooProdPdf ("pdf","total constr pdf",
RooArgSet(*pdf_unconstr,*m0shift_constr,*width_constr,*par3_constr,*nLikesignbkgd_constr));
RooFitResult* fit_2nd = pdf->fitTo(*data,Constrained(),Save(kTRUE),Extended(kTRUE),Minos(doMinos));
}
else {
RooAbsPdf *pdf = new RooAddPdf ("pdf","total signal+background pdf",
RooArgList(*gauss1S2,*sig2S,*sig3S,*pdf_combinedbkgd),
RooArgList(*nsig1f,*nsig2f,*nsig3f,*nbkgd));
RooFitResult* fit_2nd = pdf->fitTo(*data,Save(kTRUE),Extended(kTRUE),Minos(doMinos));
}
//plot
TCanvas c; c.cd();
int nbins = ceil((mmax_-mmin_)/binw_);
RooPlot* frame = mass->frame(Bins(nbins),Range(mmin_,mmax_));
data->plotOn(frame,Name("theData"),MarkerSize(0.8));
pdf->plotOn(frame,Name("thePdf"));
if (plotLikeSign) {
if (TRKROT) TrkRotData->plotOn(frame,Name("theLikeSignData"),MarkerSize(0.8),MarkerColor(kMagenta),MarkerStyle(22));
else likesignData->plotOn(frame,Name("theLikeSignData"),MarkerSize(0.8),MarkerColor(kRed),MarkerStyle(24));
//LikeSignPdf->plotOn(frame,Name("theLikeSign"),VisualizeError(*fit_1st,1),FillColor(kOrange));
//LikeSignPdf->plotOn(frame,Name("theLikeSign"),LineColor(kRed));
}
RooArgSet * pars = pdf->getParameters(data);
//RooArgSet * pars = LikeSignPdf->getParameters(likesignData);
//calculate chi2 in a mass range
float bin_Min = (8.2-mmin_)/binw_;
float bin_Max = (10.8-mmin_)/binw_;
int binMin = ceil(bin_Min);
int binMax = ceil(bin_Max);
int nfloatpars = pars->selectByAttrib("Constant",kFALSE)->getSize();
float myndof = ceil((10.8-8.2)/binw_) - nfloatpars;
cout<<binMin<<" "<<binMax<<" "<<nfloatpars<<" "<<myndof<<endl;
double mychsq = frame->mychiSquare("thePdf","theData",nfloatpars,true,binMin,binMax)*myndof;
//double mychsq = frame->mychiSquare("theLikeSign","theLikeSignData",nfloatpars,true,binMin,binMax)*myndof;
/*
int nfloatpars = pars->selectByAttrib("Constant",kFALSE)->getSize();
float myndof = frame->GetNbinsX() - nfloatpars;
double mychsq = frame->chiSquare("theLikeSign","theLikeSignData",nfloatpars)*myndof;
*/
//plot parameters
if(plotpars) {
paramOn_ = "_paramOn";
pdf->paramOn(frame,Layout(0.15,0.6,0.4),Layout(0.5,0.935,0.97),Label(Form("#chi^{2}/ndf = %2.1f/%2.0f", mychsq,myndof)));
}
/*
mass->setRange("R1S",8.8,9.7);
mass->setRange("R2S",9.8,10.2);
//pdf_combinedbkgd->fitTo(*data,Range("R1,R3"),Constrained(),Save(kTRUE),Extended(kTRUE),Minos(doMinos));
RooAbsReal* integral_1S = pdf_combinedbkgd->createIntegral(*mass,NormSet(*mass),Range("R1S")) ;
cout << "1S bkgd integral = " << integral_1S->getVal() * (nbkgd->getVal()) << endl ;
RooAbsReal* integral_2S = pdf_combinedbkgd->createIntegral(*mass,NormSet(*mass),Range("R2S")) ;
cout << "2S bkgd integral = " << integral_2S->getVal() * (nbkgd->getVal()) << endl ;
cout << "1S range count: " << data->sumEntries("invariantMass","R1S") <<endl;
cout << "2S range count: " << data->sumEntries("invariantMass","R2S") <<endl;
cout << "1S signal yield: " << data->sumEntries("invariantMass","R1S") - integral_1S->getVal() * (nbkgd->getVal()) << endl;
cout << "2S signal yield: " << data->sumEntries("invariantMass","R2S") - integral_2S->getVal() * (nbkgd->getVal()) << endl;
*/
outfile<<"Y(1S) yield : = "<<nsig1f->getVal()<<" +/- "<<nsig1f->getError()<<endl<<endl;
outfile<<"free parameter = "<< nfloatpars << ", mychi2 = " << mychsq << ", ndof = " << myndof << endl << endl;
//draw the fit lines and save plots
data->plotOn(frame,Name("theData"),MarkerSize(0.8));
pdf->plotOn(frame,Components("bkg"),Name("theBkg"),LineStyle(5),LineColor(kGreen));
pdf->plotOn(frame,Components("pdf_combinedbkgd"),LineStyle(kDashed));
if (plotLikeSign) {
if (TRKROT) pdf->plotOn(frame,Components("Like-sign"),Name("theLikeSign"),LineStyle(9),LineColor(kMagenta));
else pdf->plotOn(frame,Components("Like-sign"),Name("theLikeSign"),LineStyle(9),LineColor(kRed));
}
pdf->plotOn(frame,Name("thePdf"));
data->plotOn(frame,MarkerSize(0.8));
if (plotLikeSign) {
if (TRKROT) TrkRotData->plotOn(frame,Name("theTrkRotData"),MarkerSize(0.8),MarkerColor(kMagenta),MarkerStyle(22));
else likesignData->plotOn(frame,Name("theLikeSignData"),MarkerSize(0.8),MarkerColor(kRed),MarkerStyle(24));
}
frame->SetTitle( "" );
frame->GetXaxis()->SetTitle("m_{#mu^{+}#mu^{-}} (GeV/c^{2})");
frame->GetXaxis()->CenterTitle(kTRUE);
frame->GetYaxis()->SetTitleOffset(1.3);
if (PR_plot && RAA) frame->GetYaxis()->SetRangeUser(0,1200);
//frame->GetYaxis()->SetLabelSize(0.05);
frame->Draw();
//plot parameters
if(!plotpars) {
paramOn_ = "";
TLatex latex1;
latex1.SetNDC();
if (PbPb) {
latex1.DrawLatex(0.46,1.-0.05*3,"CMS PbPb #sqrt{s_{NN}} = 2.76 TeV");
latex1.DrawLatex(0.5,1.-0.05*4.9,"L_{int} = 150 #mub^{-1}");
switch (bin) {
case 0: latex1.DrawLatex(0.5,1.-0.05*6.2,"Cent. 0-100%, |y| < 2.4"); break;
case 3: latex1.DrawLatex(0.5,1.-0.05*6.2,"Cent. 0-5%, |y| < 2.4"); break;
case 4: latex1.DrawLatex(0.5,1.-0.05*6.2,"Cent. 5-10%, |y| < 2.4"); break;
case 5: latex1.DrawLatex(0.5,1.-0.05*6.2,"Cent. 10-20%, |y| < 2.4"); break;
case 6: latex1.DrawLatex(0.5,1.-0.05*6.2,"Cent. 20-30%, |y| < 2.4"); break;
case 7: latex1.DrawLatex(0.5,1.-0.05*6.2,"Cent. 30-40%, |y| < 2.4"); break;
case 8: latex1.DrawLatex(0.5,1.-0.05*6.2,"Cent. 40-50%, |y| < 2.4"); break;
case 9: latex1.DrawLatex(0.5,1.-0.05*6.2,"Cent. 50-100%, |y| < 2.4"); break;
default; break;
}
}
else {
