/////////////////////////////////////////////////////////////
#include <TCanvas.h>
+#include <TMinuit.h>
+#include <TGraph.h>
+#include <TVirtualFitter.h>
+#include <TClonesArray.h>
#include "AliHFMassFitter.h"
fhistoInvMass(0),
fminMass(0),
fmaxMass(0),
- fNbin(1),
+ fNbin(0),
fParsSize(1),
fFitPars(0),
fWithBkg(0),
fMass(1.85),
fSigmaSgn(0.012),
fSideBands(0),
- fcounter(0)
+ fSideBandl(0),
+ fSideBandr(0),
+ fcounter(0),
+ fContourGraph(0)
{
// default constructor
cout<<"Default constructor"<<endl;
+
}
//___________________________________________________________________________
fhistoInvMass(0),
fminMass(0),
fmaxMass(0),
- fNbin(1),
+ fNbin(0),
fParsSize(1),
fFitPars(0),
fWithBkg(0),
fMass(1.85),
fSigmaSgn(0.012),
fSideBands(0),
- fcounter(0)
+ fSideBandl(0),
+ fSideBandr(0),
+ fcounter(0),
+ fContourGraph(0)
{
// standard constructor
fhistoInvMass= (TH1F*)histoToFit->Clone("fhistoInvMass");
+ fhistoInvMass->SetDirectory(0);
fminMass=minvalue;
fmaxMass=maxvalue;
if(rebin!=1) RebinMass(rebin);
ComputeParSize();
fFitPars=new Float_t[fParsSize];
+
+ fContourGraph=new TList();
+ fContourGraph->SetOwner();
+
}
fMass(mfit.fMass),
fSigmaSgn(mfit.fSigmaSgn),
fSideBands(mfit.fSideBands),
- fcounter(mfit.fcounter)
-
+ fSideBandl(mfit.fSideBandl),
+ fSideBandr(mfit.fSideBandr),
+ fcounter(mfit.fcounter),
+ fContourGraph(mfit.fContourGraph)
{
//copy constructor
AliHFMassFitter::~AliHFMassFitter() {
cout<<"AliHFMassFitter destructor called"<<endl;
- if(fhistoInvMass) delete fhistoInvMass;
- if(fntuParam) delete fntuParam;
- if(fFitPars) delete[] fFitPars;
+ if(fhistoInvMass) {
+ cout<<"deleting histogram..."<<endl;
+ delete fhistoInvMass;
+ fhistoInvMass=NULL;
+ }
+ if(fntuParam){
+ cout<<"deleting ntuple..."<<endl;
+ delete fntuParam;
+
+ fntuParam=NULL;
+ }
+
+ if(fFitPars) {
+ delete[] fFitPars;
+ cout<<"deleting parameter array..."<<endl;
+ fFitPars=NULL;
+ }
+
fcounter = 0;
}
fMass= mfit.fMass;
fSigmaSgn= mfit.fSigmaSgn;
fSideBands= mfit.fSideBands;
+ fSideBandl= mfit.fSideBandl;
+ fSideBandr= mfit.fSideBandr;
fcounter= mfit.fcounter;
+ fContourGraph= mfit.fContourGraph;
+
if(mfit.fParsSize > 0){
- if(fFitPars) delete[] fFitPars;
+ if(fFitPars) {
+ delete[] fFitPars;
+ fFitPars=NULL;
+ }
fFitPars=new Float_t[fParsSize];
memcpy(fFitPars,mfit.fFitPars,mfit.fParsSize*sizeof(Float_t));
}
//___________________________________________________________________________
void AliHFMassFitter::SetHisto(TH1F *histoToFit){
- fhistoInvMass = (TH1F*)histoToFit->Clone();
+ //fhistoInvMass = (TH1F*)histoToFit->Clone();
+ fhistoInvMass = new TH1F(*histoToFit);
+ fhistoInvMass->SetDirectory(0);
+ cout<<"SetHisto pointer "<<fhistoInvMass<<endl;
}
//___________________________________________________________________________
//___________________________________________________________________________
void AliHFMassFitter::Reset() {
- delete fhistoInvMass;
+ cout<<"Reset called: delete histogram, set mean value to 1.85 and sigma to 0.012"<<endl;
+ fMass=1.85;
+ fSigmaSgn=0.012;
+ cout<<"Reset "<<fhistoInvMass<<endl;
+ if(fhistoInvMass) {
+ //cout<<"esiste"<<endl;
+ delete fhistoInvMass;
+ fhistoInvMass=NULL;
+ cout<<fhistoInvMass<<endl;
+ }
+ else cout<<"histogram doesn't exist, do not delete"<<endl;
+
}
//_________________________________________________________________________
if(ftypeOfFit4Sgn == 1) {
Double_t parbkg[6] = {par[3],par[4],ffactor*par[5],par[0]-2*par[3], par[1], par[2]};
- bkg = FitFunction4Bkg(x,parbkg);
+ bkg = FitFunction4Bkg(x,parbkg);
}
sgn = FitFunction4Sgn(x,&par[3]);
}
//__________________________________________________________________________
+Bool_t AliHFMassFitter::SideBandsBounds(){
-void AliHFMassFitter::MassFitter(Bool_t draw){
+ Double_t width=fhistoInvMass->GetBinWidth(8);
+ if (fNbin==0) fNbin=fhistoInvMass->GetNbinsX();
+ Double_t minHisto=fhistoInvMass->GetBinLowEdge(1);
+ Double_t maxHisto=fhistoInvMass->GetBinLowEdge(fNbin)+width;
+
+ if(fMass-fminMass < 0 || fmaxMass-fMass <0) {
+ cout<<"Left limit of range > mean or right limit of range < mean: change left/right limit or initial mean value"<<endl;
+ return kFALSE;
+ }
+
+ if((fminMass!=minHisto || fmaxMass!= maxHisto) && (fMass-4.*fSigmaSgn-fminMass) <= 0){
+ Double_t coeff = (fMass-fminMass)/fSigmaSgn;
+
+ fSideBandl=(Int_t)((fMass-0.5*coeff*fSigmaSgn-fminMass)/width);
+ fSideBandr=(Int_t)((fMass+0.5*coeff*fSigmaSgn-fminMass)/width);
+ cout<<"Changed number of sigma from 4 to "<<0.5*coeff<<" for the estimation of the side bands"<<endl;
+ if (coeff<3) cout<<"Side bands inside 3 sigma, may be better use ftypeOfFit4Bkg = 3 (only signal)"<<endl;
+
+ if (coeff<2) {
+ cout<<"Side bands inside 2 sigma. Change mode: ftypeOfFit4Bkg = 3"<<endl;
+ ftypeOfFit4Bkg=3;
+ //set binleft and right without considering SetRangeFit- anyway no bkg!
+ fSideBandl=(Int_t)((fMass-4.*fSigmaSgn-minHisto)/width);
+ fSideBandr=(Int_t)((fMass+4.*fSigmaSgn-minHisto)/width);
+ }
+ }
+ else {
+ fSideBandl=(Int_t)((fMass-4.*fSigmaSgn-minHisto)/width);
+ fSideBandr=(Int_t)((fMass+4.*fSigmaSgn-minHisto)/width);
+// cout<<"\tfMass = "<<fMass<<"\tfSigmaSgn = "<<fSigmaSgn<<"\tminHisto = "<<minHisto<<endl;
+// cout<<"\tbinleft = "<<fSideBandl<<"\tbinright = "<<fSideBandr<<endl;
+ }
+
+ if (fSideBandl==0) {
+ cout<<"Error! Range too little";
+ return kFALSE;
+ }
+ return kTRUE;
+}
+
+//__________________________________________________________________________
+
+void AliHFMassFitter::GetSideBandsBounds(Int_t &left, Int_t &right) const{
+ if (fSideBandl==0 && fSideBandr==0){
+ cout<<"Use MassFitter method first"<<endl;
+ return;
+ }
+ left=fSideBandl;
+ right=fSideBandr;
+}
+
+//__________________________________________________________________________
+
+Bool_t AliHFMassFitter::MassFitter(Bool_t draw){
// Main method of the class: performs the fit of the histogram
-
+
+ //Set default fitter Minuit in order to use gMinuit in the contour plots
+ TVirtualFitter::SetDefaultFitter("Minuit");
+
Int_t nFitPars=0; //total function's number of parameters
switch (ftypeOfFit4Bkg){
case 0:
cout<<"nFitPars = "<<nFitPars<<"\tbkgPar = "<<bkgPar<<endl;
+
+ TString listname="contourplot";
+ listname+=fcounter;
+ if(!fContourGraph){
+ fContourGraph=new TList();
+ fContourGraph->SetOwner();
+ }
+
+ fContourGraph->SetName(listname);
+
+
//function names
TString bkgname="funcbkg";
TString bkg1name="funcbkg1";
//Total integral
Double_t totInt = fhistoInvMass->Integral("width");
+ cout<<"Integral"<<endl;
fSideBands = kTRUE;
- Double_t width;
- Int_t binleft,binright;
- fNbin=fhistoInvMass->GetNbinsX();
- width=fhistoInvMass->GetBinWidth(8);
- //width=(fmaxMass-fminMass)/(Double_t)fNbin;
- binleft=(Int_t)((fMass-4.*fSigmaSgn-fminMass)/width);
- binright=(Int_t)((fMass+4.*fSigmaSgn-fminMass)/width);
-
+ Double_t width=fhistoInvMass->GetBinWidth(8);
+ cout<<"fNbin"<<fNbin<<endl;
+ if (fNbin==0) fNbin=fhistoInvMass->GetNbinsX();
+ Double_t minHisto=fhistoInvMass->GetBinLowEdge(1);
+ Double_t maxHisto=fhistoInvMass->GetBinLowEdge(fNbin)+width;
+ Bool_t ok=SideBandsBounds();
+ if(!ok) return kFALSE;
+
//sidebands integral - first approx (from histo)
- Double_t sideBandsInt=(Double_t)fhistoInvMass->Integral(1,binleft,"width") + (Double_t)fhistoInvMass->Integral(binright,fNbin,"width");
- cout<<"------nbin = "<<fNbin<<"\twidth = "<<width<<"\tbinleft = "<<binleft<<"\tbinright = "<<binright<<endl;
+ Double_t sideBandsInt=(Double_t)fhistoInvMass->Integral(1,fSideBandl,"width") + (Double_t)fhistoInvMass->Integral(fSideBandr,fNbin,"width");
+ cout<<"------nbin = "<<fNbin<<"\twidth = "<<width<<"\tbinleft = "<<fSideBandl<<"\tbinright = "<<fSideBandr<<endl;
cout<<"------sideBandsInt - first approx = "<<sideBandsInt<<endl;
-
+ if (sideBandsInt<=0) {
+ cout<<"! sideBandsInt <=0. There's a problem, cannot start the fit"<<endl;
+ return kFALSE;
+ }
+
/*Fit Bkg*/
- TF1 *funcbkg = new TF1(bkgname.Data(),this,&AliHFMassFitter::FitFunction4Bkg,fminMass,fmaxMass,bkgPar,"AliHFMassFitter","FitFunction4Bkg");
+
+ TF1 *funcbkg = new TF1(bkgname.Data(),this,&AliHFMassFitter::FitFunction4Bkg,minHisto,maxHisto,bkgPar,"AliHFMassFitter","FitFunction4Bkg");
cout<<"Function name = "<<funcbkg->GetName()<<endl<<endl;
funcbkg->SetLineColor(2); //red
break;
default:
cout<<"Wrong choise of ftypeOfFit4Bkg ("<<ftypeOfFit4Bkg<<")"<<endl;
- return;
+ return kFALSE;
break;
}
cout<<"\nBACKGROUND FIT - only combinatorial"<<endl;
fFitPars[nFitPars+2*bkgPar+3+i]= funcbkg->GetParError(i);
//cout<<nFitPars+2*bkgPar+3+i<<"\t"<< funcbkg->GetParError(i)<<endl;
}
-
- intbkg1 = funcbkg->GetParameter(0);
+ fSideBands = kFALSE;
+ //intbkg1 = funcbkg->GetParameter(0);
+ funcbkg->SetRange(fminMass,fmaxMass);
+ intbkg1 = funcbkg->Integral(fminMass,fmaxMass);
if(ftypeOfFit4Bkg!=3) slope1 = funcbkg->GetParameter(1);
if(ftypeOfFit4Bkg==2) conc1 = funcbkg->GetParameter(2);
- cout<<"Primo fit: \nintbkg1 = "<<intbkg1<<"\nslope1= "<<slope1<<"\nconc1 = "<<conc1<<endl;
+ cout<<"First fit: \nintbkg1 = "<<intbkg1<<"\t(Compare with par0 = "<<funcbkg->GetParameter(0)<<")\nslope1= "<<slope1<<"\nconc1 = "<<conc1<<endl;
}
else cout<<"\t\t//"<<endl;
cout<<"*** Polynomial Fit ***"<<endl;
funcbkg1->SetParNames("IntGB","MeanGB","SigmaGB","BkgInt","Coef1","Coef2");
funcbkg1->SetParameters(0.5*(totInt-intbkg1),fMass,ffactor*fSigmaSgn,intbkg1,slope1,conc1);
-// cout<<"Parameters set to: "<<0.5*(totInt-intbkg1)<<"\t"<<fMass<<"\t"<<ffactor*fSigmaSgn<<"\t"<<intbkg1<<"\t"<<slope1<<"\t"<<conc1<<"\t"<<endl;
-// cout<<"Limits: ("<<fminMass<<","<<fmaxMass<<")\tnPar = "<<bkgPar<<"\tgsidebands = "<<fSideBands<<endl;
+
+ //cout<<"Parameters set to: "<<0.5*(totInt-intbkg1)<<"\t"<<fMass<<"\t"<<ffactor*fSigmaSgn<<"\t"<<intbkg1<<"\t"<<slope1<<"\t"<<conc1<<"\t"<<endl;
+ //cout<<"Limits: ("<<fminMass<<","<<fmaxMass<<")\tnPar = "<<bkgPar<<"\tgsidebands = "<<fSideBands<<endl;
} else{
if(ftypeOfFit4Bkg==3) //no background: gaus sign+ gaus broadened
{
funcbkg1->SetParameters(0.5*(totInt-intbkg1),fMass,ffactor*fSigmaSgn,intbkg1,slope1);
}
}
- fhistoInvMass->Fit(bkg1name.Data(),"R,L,E,+,0");
-
+ Int_t status=fhistoInvMass->Fit(bkg1name.Data(),"R,L,E,+,0");
+ if (status != 0){
+ cout<<"Minuit returned "<<status<<endl;
+ return kFALSE;
+ }
+
for(Int_t i=0;i<bkgPar;i++){
fFitPars[bkgPar-3+i]=funcbkg1->GetParameter(i);
//cout<<bkgPar-3+i<<"\t"<<funcbkg1->GetParameter(i);
//sidebands integral - second approx (from fit)
fSideBands = kFALSE;
Double_t bkgInt;
-
+ cout<<"Compare intbkg1 = "<<intbkg1<<" and integral = ";
if(ftypeOfFit4Sgn == 1) bkgInt=funcbkg1->Integral(fminMass,fmaxMass);
else bkgInt=funcbkg->Integral(fminMass,fmaxMass);
- cout<<"------BkgInt(Fit) = "<<bkgInt<<endl;
+ cout<</*"------BkgInt(Fit) = "<<*/bkgInt<<endl;
//Signal integral - first approx
Double_t sgnInt;
sgnInt = totInt-bkgInt;
cout<<"------TotInt = "<<totInt<<"\tsgnInt = "<<sgnInt<<endl;
-
+ if (sgnInt <= 0){
+ cout<<"Setting sgnInt = - sgnInt"<<endl;
+ sgnInt=- sgnInt;
+ }
/*Fit All Mass distribution with exponential + gaussian (+gaussiam braodened) */
TF1 *funcmass = new TF1(massname.Data(),this,&AliHFMassFitter::FitFunction4MassDistr,fminMass,fmaxMass,nFitPars,"AliHFMassFitter","FitFunction4MassDistr");
cout<<"Function name = "<<funcmass->GetName()<<endl<<endl;
funcmass->SetParNames("TotInt","Slope","SgnInt","Mean","Sigma");
funcmass->SetParameters(totInt,slope1,sgnInt,fMass,fSigmaSgn);
//cout<<"Parameters set to: "<<totInt<<"\t"<<slope1<<"\t"<<sgnInt<<"\t"<<fMass<<"\t"<<fSigmaSgn<<"\t"<<endl;
-// cout<<"Limits: ("<<fminMass<<","<<fmaxMass<<")\tnPar = "<<nFitPars<<"\tgsidebands = "<<fSideBands<<endl;
+ //cout<<"Limits: ("<<fminMass<<","<<fmaxMass<<")\tnPar = "<<nFitPars<<"\tgsidebands = "<<fSideBands<<endl;
funcmass->FixParameter(0,totInt);
}
if (nFitPars==6){
funcmass->SetParNames("TotInt","Coef1","Coef2","SgnInt","Mean","Sigma");
funcmass->SetParameters(totInt,slope1,conc1,sgnInt,fMass,fSigmaSgn);
-// cout<<"Parameters set to: "<<totInt<<"\t"<<slope1<<"\t"<<conc1<<"\t"<<sgnInt<<"\t"<<fMass<<"\t"<<fSigmaSgn<<"\t"<<endl;
-// cout<<"Limits: ("<<fminMass<<","<<fmaxMass<<")\tnPar = "<<nFitPars<<"\tgsidebands = "<<fSideBands<<endl;
+ //cout<<"Parameters set to: "<<totInt<<"\t"<<slope1<<"\t"<<conc1<<"\t"<<sgnInt<<"\t"<<fMass<<"\t"<<fSigmaSgn<<"\t"<<endl;
+ //cout<<"Limits: ("<<fminMass<<","<<fmaxMass<<")\tnPar = "<<nFitPars<<"\tgsidebands = "<<fSideBands<<endl;
funcmass->FixParameter(0,totInt);
}
if(nFitPars==4){
//cout<<"Limits: ("<<fminMass<<","<<fmaxMass<<")\tnPar = "<<nFitPars<<"\tgsidebands = "<<fSideBands<<endl;
}
-
- fhistoInvMass->Fit(massname.Data(),"R,L,E,+,0");
+
+ Int_t status;
+
+ status = fhistoInvMass->Fit(massname.Data(),"R,L,E,+,0");
+ if (status != 0){
+ cout<<"Minuit returned "<<status<<endl;
+ return kFALSE;
+ }
+
cout<<"fit done"<<endl;
+ //reset value of fMass and fSigmaSgn to those found from fit
+ fMass=funcmass->GetParameter(nFitPars-2);
+ fSigmaSgn=funcmass->GetParameter(nFitPars-1);
for(Int_t i=0;i<nFitPars;i++){
fFitPars[i+2*bkgPar-3]=funcmass->GetParameter(i);
}
*/
- if(draw){
- TCanvas *canvas=new TCanvas(fhistoInvMass->GetName(),fhistoInvMass->GetName());
- TH1F *fhistocopy=new TH1F(*fhistoInvMass);
- canvas->cd();
- fhistocopy->DrawClone();
- if(ftypeOfFit4Sgn == 1) funcbkg1->DrawClone("sames");
- else funcbkg->DrawClone("sames");
- funcmass->DrawClone("sames");
- cout<<"Drawn"<<endl;
+// if(draw){
+// TCanvas *canvas=new TCanvas(fhistoInvMass->GetName(),fhistoInvMass->GetName());
+// TH1F *fhistocopy=new TH1F(*fhistoInvMass);
+// canvas->cd();
+// fhistocopy->DrawClone();
+// if(ftypeOfFit4Sgn == 1) funcbkg1->DrawClone("sames");
+// else funcbkg->DrawClone("sames");
+// funcmass->DrawClone("sames");
+// cout<<"Drawn"<<endl;
+// }
+
+ if(funcmass->GetParameter(nFitPars-1) <0 || funcmass->GetParameter(nFitPars-2) <0 || funcmass->GetParameter(nFitPars-3) <0 ) {
+ cout<<"IntS or mean or sigma negative. You may tray to SetInitialGaussianSigma(..) and SetInitialGaussianMean(..)"<<endl;
+ return kFALSE;
}
//increase counter of number of fits done
fcounter++;
- if (ftypeOfFit4Sgn == 1) delete funcbkg1;
- delete funcbkg;
- delete funcmass;
-
+ //contour plots
+ if(draw){
+
+ for (Int_t kpar=1; kpar<nFitPars;kpar++){
+
+ for(Int_t jpar=kpar+1;jpar<nFitPars;jpar++){
+ cout<<"Par "<<kpar<<" and "<<jpar<<endl;
+
+ // produce 2 contours per couple of parameters
+ TGraph* cont[2] = {0x0, 0x0};
+ const Double_t errDef[2] = {1., 4.};
+ for (Int_t i=0; i<2; i++) {
+ gMinuit->SetErrorDef(errDef[i]);
+ cont[i] = (TGraph*)gMinuit->Contour(80,kpar,jpar);
+ cout<<"Minuit Status = "<<gMinuit->GetStatus()<<endl;
+ }
+
+ if(!cont[0] || !cont[1]){
+ cout<<"Skipping par "<<kpar<<" vs par "<<jpar<<endl;
+ continue;
+ }
+
+ // set graph titles and add them to the list
+ TString title = "Contour plot";
+ TString titleX = funcmass->GetParName(kpar);
+ TString titleY = funcmass->GetParName(jpar);
+ for (Int_t i=0; i<2; i++) {
+ cont[i]->SetName( Form("cperr%d_%d%d", i, kpar, jpar) );
+ cont[i]->SetTitle(title);
+ cont[i]->GetXaxis()->SetTitle(titleX);
+ cont[i]->GetYaxis()->SetTitle(titleY);
+ cont[i]->GetYaxis()->SetLabelSize(0.033);
+ cont[i]->GetYaxis()->SetTitleSize(0.033);
+ cont[i]->GetYaxis()->SetTitleOffset(1.67);
+
+ fContourGraph->Add(cont[i]);
+ }
+
+ // plot them
+ TString cvname = Form("c%d%d", kpar, jpar);
+ TCanvas *c4=new TCanvas(cvname,cvname,600,600);
+ c4->cd();
+ cont[1]->SetFillColor(38);
+ cont[1]->Draw("alf");
+ cont[0]->SetFillColor(9);
+ cont[0]->Draw("lf");
+
+ }
+
+ }
+
+ }
+
+ if (ftypeOfFit4Sgn == 1 && funcbkg1) {
+ delete funcbkg1;
+ funcbkg1=NULL;
+ }
+ if (funcbkg) {
+ delete funcbkg;
+ funcbkg=NULL;
+ }
+ if (funcmass) {
+ delete funcmass;
+ funcmass=NULL;
+ }
+
+ AddFunctionsToHisto();
+ if (draw) DrawFit();
+
+
+ return kTRUE;
+}
+//_________________________________________________________________________
+Double_t AliHFMassFitter::GetChiSquare() const{
+ TF1 *funcmass=(TF1*)fhistoInvMass->GetFunction("funcmass");
+ return funcmass->GetChisquare();
}
+//_________________________________________________________________________
+Double_t AliHFMassFitter::GetReducedChiSquare() const{
+ TF1 *funcmass=(TF1*)fhistoInvMass->GetFunction("funcmass");
+ return funcmass->GetChisquare()/funcmass->GetNDF();
+}
//*********output
vector[i]=fFitPars[i];
}
}
-//_________________________________________________________________________
-TH1F* AliHFMassFitter::GetHistoClone() const{
- TH1F* hout=(TH1F*)fhistoInvMass->Clone(fhistoInvMass->GetName());
- return hout;
-}
+
//_________________________________________________________________________
+void AliHFMassFitter::IntS(Float_t *valuewitherror){
+ Int_t index=fParsSize/2 - 3;
+ valuewitherror[0]=fFitPars[index];
+ index=fParsSize - 3;
+ valuewitherror[1]=fFitPars[index];
+ }
-void AliHFMassFitter::WriteHisto(TString path) {
- TH1F* hget=(TH1F*)fhistoInvMass->Clone();
+//_________________________________________________________________________
+void AliHFMassFitter::AddFunctionsToHisto(){
+
+ cout<<"AddFunctionsToHisto called"<<endl;
TString bkgname = "funcbkg";
Int_t np=-99;
switch (ftypeOfFit4Bkg){
- case 0:
+ case 0: //expo
np=2;
break;
- case 1:
+ case 1: //linear
np=2;
break;
- case 2:
+ case 2: //pol2
np=3;
break;
- case 3:
+ case 3: //no bkg
np=1;
break;
}
bkgname += 1;
np+=3;
}
- TF1 *b=(TF1*)hget->GetFunction(bkgname.Data());
- //cout<<"WRITEHISTO np = "<<np<<"\n"<<bkgname<<endl;
+
+ TString bkgnamesave=bkgname;
+ TString testname=bkgname;
+ testname += "FullRange";
+ TF1 *testfunc=(TF1*)fhistoInvMass->FindObject(testname.Data());
+ if(testfunc){
+ cout<<"AddFunctionsToHisto already used: exiting...."<<endl;
+ return;
+ }
+
+ TList *hlist=fhistoInvMass->GetListOfFunctions();
+ hlist->ls();
+
+ TF1 *b=(TF1*)hlist->FindObject(bkgname.Data());
+ if(!b){
+ cout<<bkgname<<" not found, cannot produce "<<bkgname<<"FullRange and "<<bkgname<<"Recalc"<<endl;
+ return;
+ }
+
bkgname += "FullRange";
- TF1 *bwrite=new TF1(bkgname.Data(),this,&AliHFMassFitter::FitFunction4Bkg,fminMass,fmaxMass,np,"AliHFMassFitter","FitFunction4Bkg");
+ TF1 *bfullrange=new TF1(bkgname.Data(),this,&AliHFMassFitter::FitFunction4Bkg,fminMass,fmaxMass,np,"AliHFMassFitter","FitFunction4Bkg");
+ //cout<<bfullrange->GetName()<<endl;
for(Int_t i=0;i<np;i++){
- bwrite->SetParameter(i,b->GetParameter(i));
+ //cout<<i<<" di "<<np<<endl;
+ bfullrange->SetParName(i,b->GetParName(i));
+ bfullrange->SetParameter(i,b->GetParameter(i));
+ bfullrange->SetParError(i,b->GetParError(i));
+ }
+ bfullrange->SetLineStyle(4);
+ bfullrange->SetLineColor(14);
+
+ bkgnamesave += "Recalc";
+
+ TF1 *blastpar=new TF1(bkgnamesave.Data(),this,&AliHFMassFitter::FitFunction4Bkg,fminMass,fmaxMass,np,"AliHFMassFitter","FitFunction4Bkg");
+
+ TF1 *mass=fhistoInvMass->GetFunction("funcmass");
+
+ if (!mass){
+ cout<<"funcmass doesn't exist "<<endl;
+ return;
+ }
+
+ blastpar->SetParameter(0,mass->GetParameter(0)-mass->GetParameter(np));
+ blastpar->SetParError(0,mass->GetParError(np));
+ if (np>=2) {
+ blastpar->SetParameter(1,mass->GetParameter(1));
+ blastpar->SetParError(1,mass->GetParError(1));
}
- TList *hlist=hget->GetListOfFunctions();
- hlist->Add(bwrite);
+ if (np==3) {
+ blastpar->SetParameter(2,mass->GetParameter(2));
+ blastpar->SetParError(2,mass->GetParError(2));
+ }
+
+ blastpar->SetLineStyle(1);
+ blastpar->SetLineColor(2);
+
+ hlist->Add(bfullrange->Clone());
+ hlist->Add(blastpar->Clone());
+ hlist->ls();
+
+ if(bfullrange) {
+ delete bfullrange;
+ bfullrange=NULL;
+ }
+ if(blastpar) {
+ delete blastpar;
+ blastpar=NULL;
+ }
+}
+
+//_________________________________________________________________________
+
+TH1F* AliHFMassFitter::GetHistoClone() const{
+
+ TH1F* hout=(TH1F*)fhistoInvMass->Clone(fhistoInvMass->GetName());
+ return hout;
+}
+//_________________________________________________________________________
+
+void AliHFMassFitter::WriteHisto(TString path) {
+ if (fcounter == 0) {
+ cout<<"Use MassFitter method before WriteHisto"<<endl;
+ return;
+ }
+ TH1F* hget=(TH1F*)fhistoInvMass->Clone();
path += "HFMassFitterOutput.root";
TFile *output;
+
if (fcounter == 1) output = new TFile(path.Data(),"recreate");
else output = new TFile(path.Data(),"update");
output->cd();
hget->Write();
+ fContourGraph->Write();
output->Close();
cout<<fcounter<<" "<<hget->GetName()<<" written in "<<path<<endl;
- delete bwrite;
- delete output;
+ if(output) {
+ delete output;
+ output=NULL;
+ }
}
//_________________________________________________________________________
void AliHFMassFitter::WriteNtuple(TString path) const{
- TNtuple* nget=(TNtuple*)fntuParam->Clone();
+ //TNtuple* nget=(TNtuple*)fntuParam->Clone();
path += "HFMassFitterOutput.root";
TFile *output = new TFile(path.Data(),"update");
output->cd();
- nget->Write();
+ fntuParam->Write();
+ //nget->Write();
output->Close();
- cout<<nget->GetName()<<" written in "<<path<<endl;
- delete nget;
- delete output;
+ //cout<<nget->GetName()<<" written in "<<path<<endl;
+ cout<<fntuParam->GetName()<<" written in "<<path<<endl;
+ /*
+ if(nget) {
+ //delete nget;
+ nget=NULL;
+ }
+ */
+ if(output) {
+ delete output;
+ output=NULL;
+ }
}
+//_________________________________________________________________________
+
+void AliHFMassFitter::DrawFit() const{
+
+ TString cvtitle="fit of ";
+ cvtitle+=fhistoInvMass->GetName();
+ TString cvname="c";
+ cvname+=fcounter;
+
+ TCanvas *c=new TCanvas(cvname,cvtitle);
+ c->cd();
+ GetHistoClone()->Draw("hist");
+ GetHistoClone()->GetFunction("funcbkgFullRange")->Draw("same");
+ GetHistoClone()->GetFunction("funcbkgRecalc")->Draw("same");
+ GetHistoClone()->GetFunction("funcmass")->Draw("same");
+
+
+}
+
+
+//_________________________________________________________________________
+
+void AliHFMassFitter::PrintParTitles() const{
+ TF1 *f=fhistoInvMass->GetFunction("funcmass");
+ if(!f) {
+ cout<<"Fit function not found"<<endl;
+ return;
+ }
+
+ Int_t np=0;
+ switch (ftypeOfFit4Bkg){
+ case 0: //expo
+ np=2;
+ break;
+ case 1: //linear
+ np=2;
+ break;
+ case 2: //pol2
+ np=3;
+ break;
+ case 3: //no bkg
+ np=1;
+ break;
+ }
+
+ np+=3; //3 parameter for signal
+ if (ftypeOfFit4Sgn == 1) np+=3;
+
+ cout<<"Parameter Titles \n";
+ for(Int_t i=0;i<np;i++){
+ cout<<"Par "<<i<<": "<<f->GetParName(i)<<endl;
+ }
+ cout<<endl;
+
+}
//************ significance
void AliHFMassFitter::Signal(Double_t nOfSigma,Double_t &signal,Double_t &errsignal) const {
// Return signal integral in mean+- n sigma
+ if(fcounter==0) {
+ cout<<"Use MassFitter method before Signal"<<endl;
+ return;
+ }
//functions names
- TString bkgname="funcbkg";
- TString bkg1name="funcbkg1";
+ TString bkgname= "funcbkgRecalc";
+ TString bkg1name="funcbkg1Recalc";
TString massname="funcmass";
+
+ TF1 *funcbkg=0;
TF1 *funcmass=fhistoInvMass->GetFunction(massname.Data());
- Double_t mean=0,sigma=1;
+ if(!funcmass){
+ cout<<"AliHFMassFitter::Signal() ERROR -> Mass distr function not found!"<<endl;
+ return;
+ }
+
+ if(ftypeOfFit4Sgn == 0) funcbkg=fhistoInvMass->GetFunction(bkgname.Data());
+ else funcbkg=fhistoInvMass->GetFunction(bkg1name.Data());
+
+ if(!funcbkg){
+ cout<<"AliHFMassFitter::Signal() ERROR -> Bkg function not found!"<<endl;
+ return;
+ }
+
+ Int_t np=-99;
+ switch (ftypeOfFit4Bkg){
+ case 0: //expo
+ np=2;
+ break;
+ case 1: //linear
+ np=2;
+ break;
+ case 2: //pol2
+ np=3;
+ break;
+ case 3: //no bkg
+ np=1;
+ break;
+ }
+
Double_t intS,intSerr;
- if(ftypeOfFit4Bkg == 2) { //polynomial
- mean=funcmass->GetParameter(4); //mean
- sigma=funcmass->GetParameter(5); //sigma
- intS=fFitPars[12];
- intSerr=fFitPars[27];
- } else if(ftypeOfFit4Bkg == 3){ //no background
- mean=funcmass->GetParameter(2); //mean
- sigma=funcmass->GetParameter(3); //sigma
- intS=fFitPars[6];
- intSerr=fFitPars[15];
- } else { //expo or linear
- mean=funcmass->GetParameter(3); //mean
- sigma=funcmass->GetParameter(4); //sigma
- intS=fFitPars[9];
- intSerr=fFitPars[21];
+ //relative error evaluation
+ intS=funcmass->GetParameter(np);
+ intSerr=funcmass->GetParError(np);
+ cout<<"Sgn relative error evaluation from fit: "<<intSerr/intS<<endl;
+ Double_t background,errbackground;
+ Background(nOfSigma,background,errbackground);
+
+ //signal +/- error in nsigma
+ Double_t min=fMass-nOfSigma*fSigmaSgn;
+ Double_t max=fMass+nOfSigma*fSigmaSgn;
+
+ Double_t mass=funcmass->Integral(min, max)/fhistoInvMass->GetBinWidth(4);
+ signal=mass - background;
+ errsignal=TMath::Sqrt((intSerr/intS*mass)*(intSerr/intS*mass)/*assume relative error is the same as for total integral*/ + errbackground*errbackground);
+ return;
+}
+
+//_________________________________________________________________________
+
+void AliHFMassFitter::Signal(Double_t min, Double_t max, Double_t &signal,Double_t &errsignal) const {
+
+ // Return signal integral in a range
+
+ if(fcounter==0) {
+ cout<<"Use MassFitter method before Signal"<<endl;
+ return;
}
+ //functions names
+ TString bkgname="funcbkgRecalc";
+ TString bkg1name="funcbkg1Recalc";
+ TString massname="funcmass";
+
+
TF1 *funcbkg=0;
+ TF1 *funcmass=fhistoInvMass->GetFunction(massname.Data());
+ if(!funcmass){
+ cout<<"AliHFMassFitter::Signal() ERROR -> Mass distr function not found!"<<endl;
+ return;
+ }
+
if(ftypeOfFit4Sgn == 0) funcbkg=fhistoInvMass->GetFunction(bkgname.Data());
else funcbkg=fhistoInvMass->GetFunction(bkg1name.Data());
- Double_t min=mean-nOfSigma*sigma;
- Double_t max=mean+nOfSigma*sigma;
- signal=(funcmass->Integral(min,max)-funcbkg->Integral(min,max))/(Double_t)fhistoInvMass->GetBinWidth(2);
- errsignal=intSerr/intS*signal; // assume relative error is the same as for total integral
-
- return;
+
+ if(!funcbkg){
+ cout<<"AliHFMassFitter::Signal() ERROR -> Bkg function not found!"<<endl;
+ return;
+ }
+
+ Int_t np=-99;
+ switch (ftypeOfFit4Bkg){
+ case 0: //expo
+ np=2;
+ break;
+ case 1: //linear
+ np=2;
+ break;
+ case 2: //pol2
+ np=3;
+ break;
+ case 3: //no bkg
+ np=1;
+ break;
+ }
+
+ Double_t intS,intSerr;
+
+ //relative error evaluation
+ intS=funcmass->GetParameter(np);
+ intSerr=funcmass->GetParError(np);
+
+ cout<<"Sgn relative error evaluation from fit: "<<intSerr/intS<<endl;
+ Double_t background,errbackground;
+ Background(min,max,background,errbackground);
+
+ //signal +/- error in the range
+
+ Double_t mass=funcmass->Integral(min, max)/fhistoInvMass->GetBinWidth(4);
+ signal=mass - background;
+ errsignal=(intSerr/intS)*signal;/*assume relative error is the same as for total integral*/
+
}
+
//_________________________________________________________________________
void AliHFMassFitter::Background(Double_t nOfSigma,Double_t &background,Double_t &errbackground) const {
// Return background integral in mean+- n sigma
-
- //functions names
- TString bkgname="funcbkg";
- TString bkg1name="funcbkg1";
- TString massname="funcmass";
- TF1 *funcmass=fhistoInvMass->GetFunction(massname.Data());
- Double_t mean=0,sigma=1;
- Double_t intB,intBerr,err;
-
- if(ftypeOfFit4Bkg == 2) { //polynomial
- mean=funcmass->GetParameter(4); //mean
- sigma=funcmass->GetParameter(5); //sigma
- intB=fFitPars[9]-fFitPars[12];
- intBerr=fFitPars[27];
- } else if(ftypeOfFit4Bkg == 3){ //no background
- mean=funcmass->GetParameter(2); //mean
- sigma=funcmass->GetParameter(3); //sigma
- if (ftypeOfFit4Sgn == 1){ //reflection
- intB=fFitPars[1];
- intBerr=fFitPars[9];
- } else {
- intB=-1;intBerr=-1;
- err=0;
- }
- } else { //expo or linear
- mean=funcmass->GetParameter(3); //mean
- sigma=funcmass->GetParameter(4); //sigma
- intB=fFitPars[7]-fFitPars[9];
- intBerr=fFitPars[21];
+ if(fcounter==0) {
+ cout<<"Use MassFitter method before Background"<<endl;
+ return;
}
+ //functions names
+ TString bkgname="funcbkgRecalc";
+ TString bkg1name="funcbkg1Recalc";
+
TF1 *funcbkg=0;
+ if(ftypeOfFit4Sgn == 0) funcbkg=fhistoInvMass->GetFunction(bkgname.Data());
+ else funcbkg=fhistoInvMass->GetFunction(bkg1name.Data());
+ if(!funcbkg){
+ cout<<"AliHFMassFitter::Background() ERROR -> Bkg function not found!"<<endl;
+ return;
+ }
+
+ Double_t intB,intBerr;
+
+ //relative error evaluation: from final parameters of the fit
+ if(ftypeOfFit4Bkg==3 && ftypeOfFit4Sgn == 0) cout<<"No background fit: Bkg relative error evaluation put to zero"<<endl;
+ else{
+ intB=funcbkg->GetParameter(0);
+ intBerr=funcbkg->GetParError(0);
+ cout<<"Bkg relative error evaluation: from final parameters of the fit: "<<intBerr/intB<<endl;
+ }
+
+ Double_t min=fMass-nOfSigma*fSigmaSgn;
+ Double_t max=fMass+nOfSigma*fSigmaSgn;
+
+ //relative error evaluation: from histo
+
+ intB=fhistoInvMass->Integral(1,fSideBandl)+fhistoInvMass->Integral(fSideBandr,fNbin);
+ Double_t sum2=0;
+ for(Int_t i=1;i<=fSideBandl;i++){
+ sum2+=fhistoInvMass->GetBinError(i)*fhistoInvMass->GetBinError(i);
+ }
+ for(Int_t i=fSideBandr;i<=fNbin;i++){
+ sum2+=fhistoInvMass->GetBinError(i)*fhistoInvMass->GetBinError(i);
+ }
+
+ intBerr=TMath::Sqrt(sum2);
+ cout<<"Bkg relative error evaluation: from histo: "<<intBerr/intB<<endl;
+
+ cout<<"Last estimation of bkg error is used"<<endl;
+
+ //backround +/- error in nsigma
+ if (ftypeOfFit4Bkg == 3 && ftypeOfFit4Sgn == 0) {
+ background = 0;
+ errbackground = 0;
+ }
+ else{
+ background=funcbkg->Integral(min,max)/(Double_t)fhistoInvMass->GetBinWidth(2);
+ errbackground=intBerr/intB*background; // assume relative error is the same as for total integral
+ //cout<<"integral = "<<funcbkg->Integral(min, max)<<"\tbinW = "<<fhistoInvMass->GetBinWidth(2)<<endl;
+ }
+ return;
+}
+//___________________________________________________________________________
+
+void AliHFMassFitter::Background(Double_t min, Double_t max, Double_t &background,Double_t &errbackground) const {
+ // Return background integral in a range
+
+ if(fcounter==0) {
+ cout<<"Use MassFitter method before Background"<<endl;
+ return;
+ }
+
+ //functions names
+ TString bkgname="funcbkgRecalc";
+ TString bkg1name="funcbkg1Recalc";
+
+ TF1 *funcbkg=0;
if(ftypeOfFit4Sgn == 0) funcbkg=fhistoInvMass->GetFunction(bkgname.Data());
else funcbkg=fhistoInvMass->GetFunction(bkg1name.Data());
- Double_t min=mean-nOfSigma*sigma;
- Double_t max=mean+nOfSigma*sigma;
- background=funcbkg->Integral(min,max)/(Double_t)fhistoInvMass->GetBinWidth(2);
- errbackground=intBerr/intB*background;
+ if(!funcbkg){
+ cout<<"AliHFMassFitter::Background() ERROR -> Bkg function not found!"<<endl;
+ return;
+ }
+
+
+ Double_t intB,intBerr;
+
+ //relative error evaluation: from final parameters of the fit
+ if(ftypeOfFit4Bkg==3 && ftypeOfFit4Sgn == 0) cout<<"No background fit: Bkg relative error evaluation put to zero"<<endl;
+ else{
+ intB=funcbkg->GetParameter(0);
+ intBerr=funcbkg->GetParError(0);
+ cout<<"Bkg relative error evaluation: from final parameters of the fit: "<<intBerr/intB<<endl;
+ }
+
+ //relative error evaluation: from histo
+
+ intB=fhistoInvMass->Integral(1,fSideBandl)+fhistoInvMass->Integral(fSideBandr,fNbin);
+ Double_t sum2=0;
+ for(Int_t i=1;i<=fSideBandl;i++){
+ sum2+=fhistoInvMass->GetBinError(i)*fhistoInvMass->GetBinError(i);
+ }
+ for(Int_t i=fSideBandr;i<=fNbin;i++){
+ sum2+=fhistoInvMass->GetBinError(i)*fhistoInvMass->GetBinError(i);
+ }
+ intBerr=TMath::Sqrt(sum2);
+ cout<<"Bkg relative error evaluation: from histo: "<<intBerr/intB<<endl;
+
+ cout<<"Last estimation of bkg error is used"<<endl;
+
+ //backround +/- error in the range
+ if (ftypeOfFit4Bkg == 3 && ftypeOfFit4Sgn == 0) {
+ background = 0;
+ errbackground = 0;
+ }
+ else{
+ background=funcbkg->Integral(min,max)/(Double_t)fhistoInvMass->GetBinWidth(2);
+ errbackground=intBerr/intB*background; // assume relative error is the same as for total integral
+ //cout<<"integral = "<<funcbkg->Integral(min, max)<<"\tbinW = "<<fhistoInvMass->GetBinWidth(2)<<endl;
+ }
return;
}
+
//__________________________________________________________________________
-void AliHFMassFitter::Significance(Double_t nOfSigma,Double_t &significance,Double_t &errsignificance) const {
+void AliHFMassFitter::Significance(Double_t nOfSigma,Double_t &significance,Double_t &errsignificance) const {
// Return significance in mean+- n sigma
Double_t signal,errsignal,background,errbackground;
Background(nOfSigma,background,errbackground);
significance = signal/TMath::Sqrt(signal+background);
+
errsignificance = TMath::Sqrt(significance*significance/(signal+background)/(signal+background)*(1/4.*errsignal*errsignal+errbackground*errbackground)+significance*significance/signal/signal*errsignal*errsignal);
-
+
return;
}
//__________________________________________________________________________
+void AliHFMassFitter::Significance(Double_t min, Double_t max, Double_t &significance,Double_t &errsignificance) const {
+ // Return significance integral in a range
+
+ Double_t signal,errsignal,background,errbackground;
+ Signal(min, max,signal,errsignal);
+ Background(min, max,background,errbackground);
+
+ significance = signal/TMath::Sqrt(signal+background);
+
+ errsignificance = TMath::Sqrt(significance*significance/(signal+background)/(signal+background)*(1/4.*errsignal*errsignal+errbackground*errbackground)+significance*significance/signal/signal*errsignal*errsignal);
+
+ return;
+}
+
+
git://git.uio.no / u / mrichter / AliRoot.git / blobdiff