\r
ClassImp(AliITSsadEdxFitter)\r
//______________________________________________________________________\r
-AliITSsadEdxFitter::AliITSsadEdxFitter():TObject(){\r
+AliITSsadEdxFitter::AliITSsadEdxFitter():TObject(),\r
+ fExpPionMean(0.),\r
+ fExpKaonMean(0.),\r
+ fExpProtonMean(0.),\r
+ fExpPionSigma(0.),\r
+ fExpKaonSigma(0.),\r
+ fExpProtonSigma(0.),\r
+ fIsMC(kFALSE),\r
+ fITSpid(0)\r
+{\r
// standard constructor\r
for(Int_t i=0; i<3; i++) fFitpar[i] = 0.;\r
for(Int_t i=0; i<3; i++) fFitparErr[i] = 0.;\r
SetBinsUsedPion();\r
SetBinsUsedKaon();\r
SetBinsUsedProton();\r
+ fITSpid=new AliITSPIDResponse(kFALSE);\r
+};\r
+//______________________________________________________________________\r
+AliITSsadEdxFitter::AliITSsadEdxFitter(Bool_t isMC):TObject(),\r
+ fExpPionMean(0.),\r
+ fExpKaonMean(0.),\r
+ fExpProtonMean(0.),\r
+ fExpPionSigma(0.),\r
+ fExpKaonSigma(0.),\r
+ fExpProtonSigma(0.),\r
+ fIsMC(isMC),\r
+ fITSpid(0)\r
+{\r
+ // standard constructor\r
+ for(Int_t i=0; i<3; i++) fFitpar[i] = 0.;\r
+ for(Int_t i=0; i<3; i++) fFitparErr[i] = 0.;\r
+ SetRangeStep1();\r
+ SetRangeStep2();\r
+ SetRangeStep3();\r
+ SetRangeFinalStep();\r
+ SetLimitsOnSigmaPion();\r
+ SetLimitsOnSigmaKaon();\r
+ SetLimitsOnSigmaProton();\r
+ SetBinsUsedPion();\r
+ SetBinsUsedKaon();\r
+ SetBinsUsedProton();\r
+ fITSpid=new AliITSPIDResponse(isMC);\r
};\r
\r
//________________________________________________________\r
-Double_t AliITSsadEdxFitter::CalcSigma(Int_t code,Float_t x,Bool_t mc){\r
+Double_t AliITSsadEdxFitter::CalcSigma(Int_t code,Float_t x) const {\r
// calculate the sigma 12-ott-2010 \r
Double_t p[2]={0.};\r
Double_t xMinKaon=0.15; //minimum pt value to consider the kaon peak\r
Double_t xMinProton=0.3;//minimum pt value to consider the proton peak\r
- if(mc){\r
+ if(fIsMC){\r
if(code==211){\r
p[0] = -1.20337e-04;\r
p[1] = 1.13060e-01;\r
}\r
\r
//_______________________________________________________\r
-Int_t AliITSsadEdxFitter::CalcMean(Int_t code, Float_t x, Float_t mean0, Float_t &mean1, Float_t &mean2){\r
+Int_t AliITSsadEdxFitter::CalcMean(Int_t code, Float_t x, Float_t mean0, Float_t &mean1, Float_t &mean2) const{\r
// calculate the mean 12-ott-2010 \r
Double_t p1[4]={0.};\r
Double_t p2[4]={0.};\r
}\r
\r
//______________________________________________________________________\r
-void AliITSsadEdxFitter::GetInitialParam(TH1F* h,Bool_t mc,Int_t code,Int_t bin, Float_t &pt, Float_t &l, Float_t &mean1, Float_t &mean2, Float_t &mean3, Float_t &sigma1, Float_t &sigma2, Float_t &sigma3){\r
+void AliITSsadEdxFitter::GetInitialParam(TH1F* h, Int_t code,Int_t bin, Float_t &pt, Float_t &l){\r
//code to get the expected values to use for fitting\r
Double_t xbins[23]={0.08,0.10,0.12,0.14,0.16,0.18,0.20,0.25,0.30,0.35,0.40,0.45,0.50,0.55,0.60,0.65,0.70,0.75,0.80,0.85,0.90,0.95,1.0};\r
pt=(xbins[bin+1]+xbins[bin])/2;\r
h->SetFillColor(11);\r
\r
//expected values\r
- Int_t xmax=-1,ymax=-1,zmax=-1;\r
- h->GetMaximumBin(xmax,ymax,zmax);\r
- printf("\n---------------------------------- BIN %d - hypothesis %d ----------------------------------\n",bin,code);\r
Double_t s2pi=TMath::Sqrt(2*TMath::Pi());\r
ampl = h->GetMaximum()/(h->GetRMS()*s2pi);\r
- mean1 = h->GetBinLowEdge(xmax); //expected mean values\r
- Int_t calcmean=CalcMean(code,pt,mean1,mean2,mean3);\r
- if(calcmean<0) cout<<"Error during mean calculation"<<endl;\r
- printf("mean values -> %f %f %f\n",mean1,mean2,mean3);\r
+\r
+ Double_t massp=AliPID::ParticleMass(AliPID::kProton);\r
+ Double_t massk=AliPID::ParticleMass(AliPID::kKaon);\r
+ Double_t masspi=AliPID::ParticleMass(AliPID::kPion);\r
+ Bool_t isSA=kTRUE;\r
+ Float_t sinthmed=0.8878;\r
+ Float_t p=pt/sinthmed;\r
+ Double_t bethep=fITSpid->Bethe(p,massp,isSA);\r
+ Double_t bethek=fITSpid->Bethe(p,massk,isSA);\r
+ Double_t bethepi=fITSpid->Bethe(p,masspi,isSA);\r
+ Double_t betheref=bethepi;\r
+ if(TMath::Abs(code)==321) betheref=bethek;\r
+ else if(TMath::Abs(code)==2212) betheref=bethep;\r
+ fExpPionMean=TMath::Log(bethepi)-TMath::Log(betheref);\r
+ fExpKaonMean=TMath::Log(bethek)-TMath::Log(betheref);\r
+ fExpProtonMean=TMath::Log(bethep)-TMath::Log(betheref);\r
+\r
+ printf("mean values -> %f %f %f\n",fExpPionMean,fExpKaonMean,fExpProtonMean);\r
printf("integration ranges -> (%1.2f,%1.2f) (%1.2f,%1.2f) (%1.2f,%1.2f)\n",fRangeStep1[0],fRangeStep1[1],fRangeStep2[0],fRangeStep2[1],fRangeStep3[0],fRangeStep3[1]);\r
- sigma1 = CalcSigma(211,pt,mc); //expected sigma values\r
- sigma2 = CalcSigma(321,pt,mc);\r
- sigma3 = CalcSigma(2212,pt,mc);\r
- printf("sigma values -> %f %f %f\n",sigma1,sigma2,sigma3);\r
+ fExpPionSigma = CalcSigma(211,pt); //expected sigma values\r
+ fExpKaonSigma = CalcSigma(321,pt);\r
+ fExpProtonSigma = CalcSigma(2212,pt);\r
+ printf("sigma values -> %f %f %f\n",fExpPionSigma,fExpKaonSigma,fExpProtonSigma);\r
printf("sigma ranges -> (%1.2f,%1.2f) (%1.2f,%1.2f) (%1.2f,%1.2f)\n",fLimitsOnSigmaPion[0],fLimitsOnSigmaPion[1],fLimitsOnSigmaKaon[0],fLimitsOnSigmaKaon[1],fLimitsOnSigmaProton[0],fLimitsOnSigmaProton[1]);\r
return;\r
}\r
\r
//________________________________________________________\r
-void AliITSsadEdxFitter::DoFit(TH1F *h, Int_t bin, Int_t signedcode, Bool_t mc, TGraph *gres){\r
+void AliITSsadEdxFitter::DoFit(TH1F *h, Int_t bin, Int_t signedcode, TGraph *gres){\r
// 3-gaussian fit to log(dedx)-log(dedxBB) histogram\r
// pt bin from 0 to 20, code={211,321,2212} \r
// first step: all free, second step: pion gaussian fixed, third step: kaon gaussian fixed\r
// final step: refit all using the parameters and tollerance limits (+-20%)\r
+\r
TF1 *fstep1, *fstep2, *fstep3, *fstepTot;\r
TString modfit = "M0R+";\r
- Float_t pt=0., ampl=0., mean=0., expKaonMean=0., expProtonMean=0., expPionSig=0., expKaonSig=0., expProtonSig=0.;\r
+ Float_t pt=0., ampl=0.;\r
Int_t code=TMath::Abs(signedcode);\r
- GetInitialParam(h,mc,code,bin,pt,ampl,mean,expKaonMean,expProtonMean,expPionSig,expKaonSig,expProtonSig);\r
+ GetInitialParam(h,code,bin,pt,ampl);\r
if(!IsGoodBin(bin,code)) return;\r
\r
printf("___________________________________________________________________ First Step: pions\n");\r
fstep1 = new TF1("step1",SingleGausStep,fRangeStep4[0],fRangeStep4[1],3);\r
fstep1->SetParameter(0,ampl); //initial ampl pion\r
- fstep1->SetParameter(1,mean); //initial mean pion\r
- fstep1->SetParameter(2,expPionSig); //initial sigma pion\r
- fstep1->SetParLimits(0,0.,ampl*1.2); //limits ampl pion\r
+ fstep1->SetParameter(1,fExpPionMean); //initial mean pion\r
+ fstep1->SetParameter(2,fExpPionSigma); //initial sigma pion\r
+ fstep1->SetParLimits(0,0.,ampl*1.2); //limits ampl pion\r
fstep1->SetParLimits(1,fRangeStep4[0],fRangeStep4[1]); //limits mean pion (dummy)\r
- fstep1->SetParLimits(2,expPionSig*fLimitsOnSigmaPion[0],expPionSig*fLimitsOnSigmaPion[1]); //limits sigma pion\r
+ fstep1->SetParLimits(2,fExpPionSigma*fLimitsOnSigmaPion[0],fExpPionSigma*fLimitsOnSigmaPion[1]); //limits sigma pion\r
\r
- if(expPionSig>0) h->Fit(fstep1,modfit.Data(),"",mean+fRangeStep1[0],mean+fRangeStep1[1]);//first fit\r
+ if(fExpPionSigma>0) h->Fit(fstep1,modfit.Data(),"",fExpPionMean+fRangeStep1[0],fExpPionMean+fRangeStep1[1]);//first fit\r
else for(Int_t npar=0;npar<3;npar++) fstep1->FixParameter(npar,0.00001);\r
\r
printf("___________________________________________________________________ Second Step: kaons\n");\r
fstep2->FixParameter(1,fstep1->GetParameter(1)); //fixed mean pion\r
fstep2->FixParameter(2,fstep1->GetParameter(2)); //fixed sigma pion\r
fstep2->SetParameter(3,fstep1->GetParameter(0)/8.); //initial ampl kaon\r
- fstep2->SetParameter(4,expKaonMean); //initial mean kaon\r
- fstep2->SetParameter(3,expKaonSig); //initial sigma kaon\r
+ fstep2->SetParameter(4,fExpKaonMean); //initial mean kaon\r
+ fstep2->SetParameter(3,fExpKaonSigma); //initial sigma kaon\r
fstep2->SetParLimits(3,0.,fstep1->GetParameter(0)); //limits ampl kaon\r
fstep2->SetParLimits(4,fstep1->GetParameter(1),fRangeStep4[1]); //limits mean kaon \r
- fstep2->SetParLimits(5,expKaonSig*fLimitsOnSigmaKaon[0],expKaonSig*fLimitsOnSigmaKaon[1]); //limits sigma kaon\r
+ fstep2->SetParLimits(5,fExpKaonSigma*fLimitsOnSigmaKaon[0],fExpKaonSigma*fLimitsOnSigmaKaon[1]); //limits sigma kaon\r
\r
- if(expKaonSig>0) h->Fit(fstep2,modfit.Data(),"",expKaonMean+fRangeStep2[0],expKaonMean+fRangeStep2[1]);//second fit\r
+ if(fExpKaonSigma>0) h->Fit(fstep2,modfit.Data(),"",fExpKaonMean+fRangeStep2[0],fExpKaonMean+fRangeStep2[1]);//second fit\r
else for(Int_t npar=3;npar<6;npar++) fstep2->FixParameter(npar,0.00001);\r
\r
- /*TLine *l[3];\r
- l[0] = new TLine(expKaonMean,0,expKaonMean,10000);\r
- l[1] = new TLine(expKaonMean+fRangeStep2[0],0,expKaonMean+fRangeStep2[0],10000);\r
- l[2] = new TLine(expKaonMean+fRangeStep2[1],0,expKaonMean+fRangeStep2[1],10000);\r
- for(Int_t dp=0;dp<3;dp++) {\r
- l[dp]->Draw("same");\r
- l[dp]->SetLineColor(4);\r
- l[dp]->SetLineWidth(3);\r
- }*/\r
\r
printf("___________________________________________________________________ Third Step: protons\n");\r
fstep3= new TF1("fstep3",FinalGausStep,fRangeStep4[0],fRangeStep4[1],9);\r
fstep3->FixParameter(4,fstep2->GetParameter(4)); //fixed mean kaon\r
fstep3->FixParameter(5,fstep2->GetParameter(5)); //fidex sigma kaon\r
fstep3->SetParameter(6,fstep2->GetParameter(0)/16.); //initial ampl proton\r
- fstep3->SetParameter(7,expProtonMean); //initial mean proton\r
- fstep3->SetParameter(8,expProtonSig); //initial sigma proton\r
+ fstep3->SetParameter(7,fExpProtonMean); //initial mean proton\r
+ fstep3->SetParameter(8,fExpProtonSigma); //initial sigma proton\r
fstep3->SetParLimits(6,0.,fstep2->GetParameter(0)); //limits ampl proton\r
fstep3->SetParLimits(7,fstep2->GetParameter(4),fRangeStep4[1]); //limits mean proton\r
- fstep3->SetParLimits(8,expProtonSig*fLimitsOnSigmaProton[0],expProtonSig*fLimitsOnSigmaProton[1]); //limits sigma proton\r
+ fstep3->SetParLimits(8,fExpProtonSigma*fLimitsOnSigmaProton[0],fExpProtonSigma*fLimitsOnSigmaProton[1]); //limits sigma proton\r
\r
- if(expProtonSig>0) h->Fit(fstep3,modfit.Data(),"",expProtonMean+fRangeStep3[0],expProtonMean+fRangeStep3[1]);//third fit\r
+ if(fExpProtonSigma>0) h->Fit(fstep3,modfit.Data(),"",fExpProtonMean+fRangeStep3[0],fExpProtonMean+fRangeStep3[1]);//third fit\r
else for(Int_t npar=6;npar<9;npar++) fstep3->FixParameter(npar,0.00001);\r
\r
printf("___________________________________________________________________ Final Step: refit all\n");\r
}\r
\r
//________________________________________________________\r
-void AliITSsadEdxFitter::DoFitProton(TH1F *h, Int_t bin, Int_t signedcode, Bool_t mc, TGraph *gres){\r
+void AliITSsadEdxFitter::DoFitProton(TH1F *h, Int_t bin, Int_t signedcode, TGraph *gres){\r
// 3-gaussian fit to log(dedx)-log(dedxBB) histogram\r
// pt bin from 0 to 20, code={211,321,2212} \r
// first step: pion peak, second step: proton peak, third step: kaon peak\r
// final step: refit all using the parameters\r
TF1 *fstep1, *fstep2, *fstep3, *fstepTot;\r
TString modfit = "M0R+";\r
- Float_t pt=0., ampl=0., mean=0., expKaonMean=0., expProtonMean=0., expPionSig=0., expKaonSig=0., expProtonSig=0.;\r
+ Float_t pt=0., ampl=0.;\r
Int_t code=TMath::Abs(signedcode);\r
- GetInitialParam(h,mc,code,bin,pt,ampl,mean,expKaonMean,expProtonMean,expPionSig,expKaonSig,expProtonSig);\r
+ GetInitialParam(h,code,bin,pt,ampl);\r
if(!IsGoodBin(bin,code)) return;\r
\r
printf("___________________________________________________________________ First Step: pion\n");\r
fstep1 = new TF1("step1",SingleGausStep,fRangeStep4[0],fRangeStep4[1],3);\r
fstep1->SetParameter(0,ampl); //initial ampl pion\r
- fstep1->SetParameter(1,mean); //initial mean pion\r
- fstep1->SetParameter(2,expPionSig); //initial sigma pion\r
+ fstep1->SetParameter(1,fExpPionMean); //initial mean pion\r
+ fstep1->SetParameter(2,fExpPionSigma); //initial sigma pion\r
fstep1->SetParLimits(0,0,ampl*1.2); //limits ampl pion\r
fstep1->SetParLimits(1,fRangeStep4[0],fRangeStep4[1]); //limits mean pion (dummy)\r
- fstep1->SetParLimits(2,expPionSig*fLimitsOnSigmaPion[0],expPionSig*fLimitsOnSigmaPion[1]); //limits sigma pion\r
+ fstep1->SetParLimits(2,fExpPionSigma*fLimitsOnSigmaPion[0],fExpPionSigma*fLimitsOnSigmaPion[1]); //limits sigma pion\r
\r
- if(expPionSig>0) h->Fit(fstep1,modfit,"",mean+fRangeStep1[0],mean+fRangeStep1[1]);//first fit\r
+ if(fExpPionSigma>0) h->Fit(fstep1,modfit,"",fExpPionMean+fRangeStep1[0],fExpPionMean+fRangeStep1[1]);//first fit\r
else for(Int_t npar=0;npar<3;npar++) fstep1->FixParameter(npar,0.00001);\r
\r
printf("___________________________________________________________________ Second Step: proton\n");\r
fstep2 = new TF1("step2",SingleGausStep,fRangeStep4[0],fRangeStep4[1],3);\r
fstep2->SetParameter(0,fstep1->GetParameter(0)/16.);//initial ampl proton\r
- fstep2->SetParameter(1,expProtonMean); //initial mean proton\r
- fstep2->SetParameter(2,expProtonSig); //initial sigma proton\r
+ fstep2->SetParameter(1,fExpProtonMean); //initial mean proton\r
+ fstep2->SetParameter(2,fExpProtonSigma); //initial sigma proton\r
fstep2->SetParLimits(0,0.,fstep1->GetParameter(0)); //limits ampl proton\r
fstep2->SetParLimits(1,fstep1->GetParameter(1),fRangeStep4[1]); //limits mean proton\r
- fstep2->SetParLimits(2,expProtonSig*fLimitsOnSigmaProton[0],expProtonSig*fLimitsOnSigmaProton[1]); //limits sigma proton\r
+ fstep2->SetParLimits(2,fExpProtonSigma*fLimitsOnSigmaProton[0],fExpProtonSigma*fLimitsOnSigmaProton[1]); //limits sigma proton\r
\r
- if(expProtonSig>0) h->Fit(fstep2,modfit,"",expProtonMean+fRangeStep3[0],expProtonMean+fRangeStep3[1]);//second fit\r
+ if(fExpProtonSigma>0) h->Fit(fstep2,modfit,"",fExpProtonMean+fRangeStep3[0],fExpProtonMean+fRangeStep3[1]);//second fit\r
else for(Int_t npar=0;npar<3;npar++) fstep2->FixParameter(npar,0.00001);\r
\r
printf("___________________________________________________________________ Third Step: kaon\n");\r
fstep3->FixParameter(7,fstep2->GetParameter(1)); //fixed mean proton\r
fstep3->FixParameter(8,fstep2->GetParameter(2)); //fixed sigma proton\r
fstep3->SetParameter(3,fstep1->GetParameter(0)/8.); //initial ampl kaon\r
- fstep3->SetParameter(4,expKaonMean); //initial mean kaon\r
- fstep3->SetParameter(5,expKaonSig); //initial sigma kaon\r
+ fstep3->SetParameter(4,fExpKaonMean); //initial mean kaon\r
+ fstep3->SetParameter(5,fExpKaonSigma); //initial sigma kaon\r
fstep3->SetParLimits(3,fstep2->GetParameter(0),fstep1->GetParameter(0)); //limits ampl kaon\r
fstep3->SetParLimits(4,fstep1->GetParameter(1),fstep2->GetParameter(1)); //limits mean kaon\r
- fstep3->SetParLimits(5,expKaonSig*fLimitsOnSigmaKaon[0],expKaonSig*fLimitsOnSigmaKaon[1]); //limits sigma kaon\r
- /*TLine *l[3];\r
- l[0] = new TLine(expProtonMean,0,expProtonMean,10000);\r
- l[1] = new TLine(expProtonMean+fRangeStep3[0],0,expProtonMean+fRangeStep3[0],10000);\r
- l[2] = new TLine(expProtonMean+fRangeStep3[1],0,expProtonMean+fRangeStep3[1],10000);\r
- for(Int_t dp=0;dp<3;dp++) {\r
- l[dp]->Draw("same");\r
- l[dp]->SetLineColor(2);\r
- l[dp]->SetLineWidth(4);\r
- }*/\r
- if(expKaonSig>0) h->Fit(fstep3,modfit,"",expKaonMean+fRangeStep2[0],expKaonMean+fRangeStep2[1]);//third fit\r
+ fstep3->SetParLimits(5,fExpKaonSigma*fLimitsOnSigmaKaon[0],fExpKaonSigma*fLimitsOnSigmaKaon[1]); //limits sigma kaon\r
+ if(fExpKaonSigma>0) h->Fit(fstep3,modfit,"",fExpKaonMean+fRangeStep2[0],fExpKaonMean+fRangeStep2[1]);//third fit\r
else for(Int_t npar=3;npar<6;npar++) fstep3->FixParameter(npar,0.00001);\r
\r
printf("___________________________________________________________________ Final Step: refit all\n");\r
}\r
\r
//________________________________________________________\r
-void AliITSsadEdxFitter::DoFitProtonFirst(TH1F *h, Int_t bin, Int_t signedcode, Bool_t mc, TGraph *gres){\r
+void AliITSsadEdxFitter::DoFitProtonFirst(TH1F *h, Int_t bin, Int_t signedcode, TGraph *gres){\r
// 3-gaussian fit to log(dedx)-log(dedxBB) histogram\r
// pt bin from 0 to 20, code={211,321,2212} \r
// first step: proton peak, second step: pion peak, third step: kaon peak\r
// final step: refit all using the parameters\r
TF1 *fstep1, *fstep2, *fstep3, *fstepTot;\r
TString modfit = "M0R+";\r
- Float_t pt=0., ampl=0., mean=0., expKaonMean=0., expProtonMean=0., expPionSig=0., expKaonSig=0., expProtonSig=0.;\r
+ Float_t pt=0., ampl=0.;\r
Int_t code=TMath::Abs(signedcode);\r
- GetInitialParam(h,mc,code,bin,pt,ampl,mean,expKaonMean,expProtonMean,expPionSig,expKaonSig,expProtonSig);\r
+ GetInitialParam(h,code,bin,pt,ampl);\r
if(!IsGoodBin(bin,code)) return;\r
\r
printf("___________________________________________________________________ First Step: proton\n");\r
fstep1 = new TF1("step1",SingleGausStep,fRangeStep4[0],fRangeStep4[1],3);\r
fstep1->SetParameter(0,ampl/16.); //initial ampl proton`\r
- fstep1->SetParameter(1,expProtonMean); //initial mean proton\r
- fstep1->SetParameter(2,expProtonSig); //initial sigma proton\r
+ fstep1->SetParameter(1,fExpProtonMean); //initial mean proton\r
+ fstep1->SetParameter(2,fExpProtonSigma); //initial sigma proton\r
fstep1->SetParLimits(0,0,ampl); //limits ampl proton\r
- fstep1->SetParLimits(1,mean,fRangeStep4[1]); //limits mean proton (dummy)\r
- fstep1->SetParLimits(2,expProtonSig*fLimitsOnSigmaProton[0],expProtonSig*fLimitsOnSigmaProton[1]); //limits sigma proton\r
+ fstep1->SetParLimits(1,fExpPionMean,fRangeStep4[1]); //limits mean proton (dummy)\r
+ fstep1->SetParLimits(2,fExpProtonSigma*fLimitsOnSigmaProton[0],fExpProtonSigma*fLimitsOnSigmaProton[1]); //limits sigma proton\r
\r
- if(expProtonSig>0) h->Fit(fstep1,modfit,"",expProtonMean+fRangeStep3[0],expProtonMean+fRangeStep3[1]);//first fit\r
+ if(fExpProtonSigma>0) h->Fit(fstep1,modfit,"",fExpProtonMean+fRangeStep3[0],fExpProtonMean+fRangeStep3[1]);//first fit\r
else for(Int_t npar=0;npar<3;npar++) fstep1->FixParameter(npar,0.00001);\r
\r
printf("___________________________________________________________________ Second Step: pion\n");\r
fstep2->FixParameter(1,fstep1->GetParameter(1)); //fixed mean proton\r
fstep2->FixParameter(2,fstep1->GetParameter(2)); //fixed sigma proton\r
fstep2->SetParameter(3,ampl); //initial ampl pion\r
- fstep2->SetParameter(4,mean); //initial mean pion\r
- fstep2->SetParameter(5,expPionSig); //initial sigma pion\r
+ fstep2->SetParameter(4,fExpPionMean); //initial mean pion\r
+ fstep2->SetParameter(5,fExpPionSigma); //initial sigma pion\r
fstep2->SetParLimits(3,0.,ampl); //limits ampl pion\r
fstep2->SetParLimits(4,fRangeStep4[0],fstep1->GetParameter(1)); //limits mean pion\r
- fstep2->SetParLimits(5,expPionSig*fLimitsOnSigmaPion[0],expPionSig*fLimitsOnSigmaPion[1]); //limits sigma pion\r
+ fstep2->SetParLimits(5,fExpPionSigma*fLimitsOnSigmaPion[0],fExpPionSigma*fLimitsOnSigmaPion[1]); //limits sigma pion\r
\r
- if(expPionSig>0) h->Fit(fstep2,modfit,"",mean+fRangeStep1[0],mean+fRangeStep1[1]);//second fit\r
+ if(fExpPionSigma>0) h->Fit(fstep2,modfit,"",fExpPionMean+fRangeStep1[0],fExpPionMean+fRangeStep1[1]);//second fit\r
else for(Int_t npar=0;npar<3;npar++) fstep2->FixParameter(npar,0.00001);\r
\r
printf("___________________________________________________________________ Third Step: kaon\n");\r
fstep3->FixParameter(4,fstep2->GetParameter(4)); //fixed mean pion\r
fstep3->FixParameter(5,fstep2->GetParameter(5)); //fixed sigma pion\r
fstep3->SetParameter(6,fstep2->GetParameter(0)/8.); //initial ampl kaon\r
- fstep3->SetParameter(7,expKaonMean); //initial mean kaon\r
- fstep3->SetParameter(8,expKaonSig); //initial sigma kaon\r
+ fstep3->SetParameter(7,fExpKaonMean); //initial mean kaon\r
+ fstep3->SetParameter(8,fExpKaonSigma); //initial sigma kaon\r
fstep3->SetParLimits(6,fstep1->GetParameter(0),fstep2->GetParameter(3)); //limits ampl kaon\r
fstep3->SetParLimits(7,fstep2->GetParameter(4),fstep1->GetParameter(1)); //limits mean kaon\r
- fstep3->SetParLimits(8,expKaonSig*fLimitsOnSigmaKaon[0],expKaonSig*fLimitsOnSigmaKaon[1]); //limits sigma kaon\r
- /*TLine *l[3];\r
- l[0] = new TLine(expProtonMean,0,expProtonMean,10000);\r
- l[1] = new TLine(expProtonMean+fRangeStep3[0],0,expProtonMean+fRangeStep3[0],10000);\r
- l[2] = new TLine(expProtonMean+fRangeStep3[1],0,expProtonMean+fRangeStep3[1],10000);\r
- for(Int_t dp=0;dp<3;dp++) {\r
- l[dp]->Draw("same");\r
- l[dp]->SetLineColor(2);\r
- l[dp]->SetLineWidth(4);\r
- }*/\r
- if(expKaonSig>0) h->Fit(fstep3,modfit,"",expKaonMean+fRangeStep2[0],expKaonMean+fRangeStep2[1]);//third fit\r
+ fstep3->SetParLimits(8,fExpKaonSigma*fLimitsOnSigmaKaon[0],fExpKaonSigma*fLimitsOnSigmaKaon[1]); //limits sigma kaon\r
+ if(fExpKaonSigma>0) h->Fit(fstep3,modfit,"",fExpKaonMean+fRangeStep2[0],fExpKaonMean+fRangeStep2[1]);//third fit\r
else for(Int_t npar=3;npar<6;npar++) fstep3->FixParameter(npar,0.00001);\r
\r
printf("___________________________________________________________________ Final Step: refit all\n");\r
\r
\r
//________________________________________________________\r
-void AliITSsadEdxFitter::DoFitOnePeak(TH1F *h, Int_t bin, Int_t signedcode, Bool_t mc){\r
+void AliITSsadEdxFitter::DoFitOnePeak(TH1F *h, Int_t bin, Int_t signedcode){\r
// single-gaussian fit to log(dedx)-log(dedxBB) histogram\r
TF1 *fstep1;\r
TString modfit = "M0R+";\r
- Float_t pt=0., ampl=0., mean=0., expKaonMean=0., expProtonMean=0., expPionSig=0., expKaonSig=0., expProtonSig=0.;\r
+ Float_t pt=0., ampl=0.;\r
Int_t code=TMath::Abs(signedcode);\r
- GetInitialParam(h,mc,code,bin,pt,ampl,mean,expKaonMean,expProtonMean,expPionSig,expKaonSig,expProtonSig);\r
+ GetInitialParam(h,code,bin,pt,ampl);\r
if(!IsGoodBin(bin,code)) return;\r
\r
printf("___________________________________________________________________ Single Step\n");\r
fstep1 = new TF1("step2",SingleGausStep,fRangeStep4[0],fRangeStep4[1],3);\r
fstep1->SetParameter(0,ampl/16.); //initial ampl \r
- fstep1->SetParameter(1,expProtonMean); //initial mean \r
- fstep1->SetParameter(2,expProtonSig); //initial sigma \r
+ fstep1->SetParameter(1,fExpProtonMean); //initial mean \r
+ fstep1->SetParameter(2,fExpProtonSigma); //initial sigma \r
fstep1->SetParLimits(0,0.,ampl); //limits ampl proton\r
- fstep1->SetParLimits(1,mean,fRangeStep4[1]); //limits mean proton\r
- //fstep1->SetParLimits(2,expProtonSig*fLimitsOnSigmaProton[0],expProtonSig*fLimitsOnSigmaProton[1]); //limits sigma proton\r
+ fstep1->SetParLimits(1,fExpPionMean,fRangeStep4[1]); //limits mean proton\r
+ //fstep1->SetParLimits(2,fExpProtonSigma*fLimitsOnSigmaProton[0],fExpProtonSigma*fLimitsOnSigmaProton[1]); //limits sigma proton\r
\r
- if(expProtonSig>0) h->Fit(fstep1,modfit,"",expProtonMean+fRangeStep3[0],expProtonMean+fRangeStep3[1]);//fit\r
+ if(fExpProtonSigma>0) h->Fit(fstep1,modfit,"",fExpProtonMean+fRangeStep3[0],fExpProtonMean+fRangeStep3[1]);//fit\r
else for(Int_t npar=0;npar<3;npar++) fstep1->FixParameter(npar,0.00001);\r
\r
fstep1->SetLineColor(1);\r
// first step: all free, second step: pion gaussian fixed, third step: kaon gaussian fixed\r
// final step: refit all using the parameters and tollerance limits (+-20%)\r
// WARNING: exponential tail added in the right of the Gaussian shape\r
- Bool_t mc=kFALSE;\r
Int_t code=TMath::Abs(signedcode);\r
if(!IsGoodBin(bin,code)) return;\r
\r
TF1 *fstep1, *fstep2, *fstep3, *fstepTot;\r
TString modfit = "M0R+";\r
- Float_t pt=0., ampl=0., mean=0., expKaonMean=0., expProtonMean=0., expPionSig=0., expKaonSig=0., expProtonSig=0.;\r
- GetInitialParam(h,mc,code,bin,pt,ampl,mean,expKaonMean,expProtonMean,expPionSig,expKaonSig,expProtonSig);\r
+ Float_t pt=0., ampl=0.;\r
+ GetInitialParam(h,code,bin,pt,ampl);\r
\r
printf("\n___________________________________________________________________\n First Step: pions\n\n");\r
fstep1 = new TF1("step1",SingleGausTail,-3.5,3.5,5);\r
fstep1->SetParameter(0,ampl);//initial \r
- fstep1->SetParameter(1,mean);\r
+ fstep1->SetParameter(1,fExpPionMean);\r
fstep1->SetParameter(3,1.2);\r
fstep1->SetParameter(4,10.);\r
\r
fstep1->SetParLimits(4,5.,20.);\r
if(bin<8) fstep1->SetParLimits(4,13.,25.);\r
\r
- h->Fit(fstep1,modfit,"",mean-0.45,mean+0.45);//first fit\r
+ h->Fit(fstep1,modfit,"",fExpPionMean-0.45,fExpPionMean+0.45);//first fit\r
\r
printf("\n___________________________________________________________________\n Second Step: kaons\n\n"); \r
fstep2 = new TF1("fstep2",DoubleGausTail,-3.5,3.5,10);\r
\r
//________________________________________________________\r
void AliITSsadEdxFitter::PrintAll() const{\r
- //\r
+ // print parameters\r
+\r
printf("Range 1 = %f %f\n",fRangeStep1[0],fRangeStep1[1]);\r
printf("Range 2 = %f %f\n",fRangeStep2[0],fRangeStep2[1]);\r
printf("Range 3 = %f %f\n",fRangeStep3[0],fRangeStep3[1]);\r