if(!gMinuit)
gMinuit = new TMinuit(100);
- fSampleParamsHigh =new TArrayD(5) ;
- fSampleParamsHigh->AddAt(4.25,0) ;
- fSampleParamsHigh->AddAt(0.094,1) ;
- fSampleParamsHigh->AddAt(0.0151,2) ;
- fSampleParamsHigh->AddAt(0.0384,3) ;
- fSampleParamsLow=new TArrayD(5) ;
- fSampleParamsLow->AddAt(5.14,0) ;
- fSampleParamsLow->AddAt(0.0970,1) ;
- fSampleParamsLow->AddAt(0.0088,2) ;
- fSampleParamsLow->AddAt(0.0346,3) ;
+ fSampleParamsHigh =new TArrayD(7) ;
+ fSampleParamsHigh->AddAt(2.174,0) ;
+ fSampleParamsHigh->AddAt(0.106,1) ;
+ fSampleParamsHigh->AddAt(0.173,2) ;
+ fSampleParamsHigh->AddAt(0.06106,3) ;
+ //last two parameters are pedestal and overflow
+ fSampleParamsLow=new TArrayD(7) ;
+ fSampleParamsLow->AddAt(2.456,0) ;
+ fSampleParamsLow->AddAt(0.137,1) ;
+ fSampleParamsLow->AddAt(2.276,2) ;
+ fSampleParamsLow->AddAt(0.08246,3) ;
fToFit = new TList() ;
}
//reasonable shape, fits it with Gamma2 function and extracts
//energy and time.
-// TCanvas * c = (TCanvas *)gROOT->FindObjectAny("canvMy") ;
-// TH1S * h = new TH1S("s","",200,0.5,200.5) ;
-// TF1 * fff = new TF1("fff","[0]+[1]*((x-[2])+[3]*(x-[2])*(x-[2]))*(exp(-(x-[2])*[4])+[5]*exp(-(x-[2])*[6]))",0.,1000.) ;
+//Debug=====================
+// TCanvas * c = (TCanvas*)gROOT->FindObjectAny("CSample") ;
+// if(!c)
+// c = new TCanvas("CSample","CSample") ;
+//
+// TH1D * h = (TH1D*)gROOT->FindObjectAny("hSample") ;
+// if(!h)
+// h=new TH1D("hSample","",200,0.,200.) ;
+//
+// TF1 * fff = (TF1*)gROOT->FindObjectAny("fff") ;
+// if(!fff)
+// fff = new TF1("fff","[0]+[1]*((abs(x-[2]))^[3]*exp(-(x-[2])*[4])+[5]*(x-[2])*(x-[2])*exp(-(x-[2])*[6]))",0.,1000.) ;
+//End debug===========
AliCaloRawStream* in = fCaloStream;
- Int_t iBin = 0;
+ Int_t iBin = fSamples->GetSize() ;
Int_t tLength = 0;
fEnergy = -111;
Float_t pedMean = 0;
Int_t nPed = 0;
Float_t baseLine = 1.0;
const Float_t nPreSamples = 10;
+ fQuality= 999. ;
+ const Float_t sampleMaxHG=102.332 ; //maximal height of HG sample with given parameterization
+ const Float_t sampleMaxLG=277.196 ; //maximal height of HG sample with given parameterization
while ( in->Next() ) {
tLength = in->GetTimeLength();
if(tLength!=fSamples->GetSize()) {
delete fSamples ;
+ delete fTimes ;
fSamples = new TArrayI(tLength);
+ fTimes = new TArrayI(tLength);
+ iBin= fSamples->GetSize() ;
}
else{
- for(Int_t i=0; i<fSamples->GetSize(); i++){
- fSamples->AddAt(0,i) ;
- }
+ fSamples->Reset() ;
}
}
// Fit the full sample
- if(in->IsNewHWAddress() && iBin>0) {
+ if(in->IsNewHWAddress() && iBin != fSamples->GetSize()) {
Double_t pedestal =0. ;
if(fPedSubtract){
else
return kFALSE;
}
-
- //calculate energy
- //first estimate if this sample looks like gamma2 function
- Double_t aMean=0. ;
- Double_t aRMS=0. ;
- Int_t tStart = 0 ;
- Int_t cnts=0 ;
- for(Int_t i=0; i<fSamples->GetSize(); i++){
- if(fSamples->At(i)>0){
- Double_t de=fSamples->At(i)-pedestal ;
- aMean+=de ;
- aRMS+=de*de ;
- cnts++;
- if(de>2 && tStart==0)
- tStart=i ;
- if(fSamples->At(i)>fEnergy)
- fEnergy=fSamples->At(i) ;
- }
+
+ //calculate time and energy
+ Int_t maxBin=0 ;
+ Int_t maxAmp=0 ;
+ Double_t aMean=0. ;
+ Double_t aRMS=0. ;
+ Int_t tStart = 0 ;
+ Int_t cnts=0 ;
+ for(Int_t i=iBin; i<fSamples->GetSize(); i++){
+ if(fSamples->At(i)>0){
+ Double_t de=fSamples->At(i)-pedestal ;
+ aMean+=de ;
+ aRMS+=de*de ;
+ cnts++;
+ if(de>2 && tStart==0)
+ tStart=i ;
+ if(maxAmp<fSamples->At(i)){
+ maxBin=i ;
+ maxAmp=fSamples->At(i) ;
+ }
+ }
+ }
+ if(maxBin==fSamples->GetSize()-1){//bad sample
+ fEnergy=0. ;
+ fTime=-999.;
+ fQuality= 999. ;
+ return kTRUE ;
+ }
+ fEnergy=Double_t(maxAmp)-pedestal ;
+ fOverflow =0 ; //look for plato on the top of sample
+ if(fEnergy>500 && //this is not fluctuation of soft sample
+ maxBin<fSamples->GetSize()-1 && fSamples->At(maxBin+1)==maxAmp){ //and there is a plato
+ fOverflow = kTRUE ;
}
+
if(cnts>0){
aMean/=cnts;
aRMS=aRMS/cnts-aMean*aMean;
}
+//Debug:=====Draw sample
+//if(fEnergy>pedestal+10.){
+// c->cd() ;
+// h->Draw() ;
+// c->Update() ;
+// printf("fEnergy=%f, cnts=%d, aMean=%f, aRMS=%f \n",fEnergy,cnts,aMean,aRMS) ;
+//}
+//======================
+
//IF sample has reasonable mean and RMS, try to fit it with gamma2
if(fEnergy>2.&& cnts >20 && aMean>0. && aRMS>2.){ //more or less reasonable sample
fToFit->Clear() ;
if(fLowGainFlag){
fSampleParamsLow->AddAt(pedestal,4) ;
+ if(fOverflow)
+ fSampleParamsLow->AddAt(double(maxAmp),5) ;
+ else
+ fSampleParamsLow->AddAt(double(1023),5) ;
+ fSampleParamsLow->AddAt(double(iBin),6) ;
fToFit->AddFirst((TObject*)fSampleParamsLow) ;
}
else{
fSampleParamsHigh->AddAt(pedestal,4) ;
+ if(fOverflow)
+ fSampleParamsHigh->AddAt(double(maxAmp),5) ;
+ else
+ fSampleParamsHigh->AddAt(double(1023),5);
+ fSampleParamsHigh->AddAt(double(iBin),6);
fToFit->AddFirst((TObject*)fSampleParamsHigh) ;
}
fToFit->AddLast((TObject*)fSamples) ;
+ fToFit->AddLast((TObject*)fTimes) ;
gMinuit->SetObjectFit((TObject*)fToFit) ; // To tranfer pointer to UnfoldingChiSquare
Int_t ierflg ;
// AliWarning(Form("Unable to set initial value for fit procedure : t0=%e\n",1.*tStart) ) ;
fEnergy=0. ;
fTime=-999. ;
+ fQuality=999 ;
return kTRUE ; //will scan further
}
- Double_t amp0=(fEnergy-pedestal)*0.0032;
+ Double_t amp0;
+ if(fLowGainFlag)
+ amp0=fEnergy/sampleMaxLG;
+ else
+ amp0=fEnergy/sampleMaxHG;
gMinuit->mnparm(1, "Energy", amp0 , 0.001*amp0, 0, 0, ierflg) ;
if(ierflg != 0){
// AliWarning(Form("Unable to set initial value for fit procedure : E=%e\n", amp0)) ;
fEnergy=0. ;
fTime=-999. ;
+ fQuality=999 ;
return kTRUE ; //will scan further
}
gMinuit->mnexcm("SET NOW", &p2 , 0, ierflg) ; // No Warnings
gMinuit->mnexcm("MIGRAD", &p0, 0, ierflg) ; // minimize
+
Double_t err,t0err ;
Double_t t0,efit ;
gMinuit->GetParameter(0,t0, t0err) ;
gMinuit->GetParameter(1,efit, err) ;
-
- Double_t a,alpha ;
- if(fLowGainFlag){
- a=fSampleParamsLow->At(0) ;
- alpha=fSampleParamsLow->At(1) ;
- }
- else{
- a=fSampleParamsHigh->At(0) ;
- alpha=fSampleParamsHigh->At(1) ;
- }
+ //Calculate total energy
+ if(fLowGainFlag)
+ efit*=sampleMaxLG;
+ else
+ efit*=sampleMaxHG;
+
+ if(efit<0. || efit > 10000.){
+ fEnergy=0 ; //bad sample
+ fTime=-999.;
+ fQuality=999 ;
+ return kTRUE;
+ }
+
+ //evaluate fit quality
+ Double_t fmin,fedm,errdef ;
+ Int_t npari,nparx,istat;
+ gMinuit->mnstat(fmin,fedm,errdef,npari,nparx,istat) ;
+ fQuality=fmin/(fSamples->GetSize()-iBin) ;
+ //compare quality with some parameterization
+ fQuality/=5.*TMath::Exp(0.0025*efit) ;
+
+//Debug================
+// Double_t n,alpha,b,beta ;
+// if(fLowGainFlag){
+// n=fSampleParamsLow->At(0) ;
+// alpha=fSampleParamsLow->At(1) ;
+// b=fSampleParamsLow->At(2) ;
+// beta=fSampleParamsLow->At(3) ;
+// }
+// else{
+// n=fSampleParamsHigh->At(0) ;
+// alpha=fSampleParamsHigh->At(1) ;
+// b=fSampleParamsHigh->At(2) ;
+// beta=fSampleParamsHigh->At(3) ;
+// }
+//
+// if( fQuality > 5.*TMath::Exp(0.0025*efit)){
+// if( fQuality > 1.){
+// printf("Col=%d, row=%d, qual=%f, E=%f \n",fColumn,fRow,fQuality,efit) ;
// c->cd() ;
// h->Draw() ;
// if(fLowGainFlag){
-// fff->SetParameters(pedestal,efit,t0,a,alpha,fSampleParamsLow->At(2),fSampleParamsLow->At(3)) ;
+// fff->SetParameters(pedestal,efit/sampleMaxLG,t0,n,alpha,b,beta) ;
// }
// else{
-// fff->SetParameters(pedestal,efit,t0,a,alpha,fSampleParamsHigh->At(2),fSampleParamsHigh->At(3)) ;
+// fff->SetParameters(pedestal,efit/sampleMaxHG,t0,n,alpha,b,beta) ;
// }
// fff->Draw("same") ;
// c->Update();
-
- efit*=(2.*a+TMath::Sqrt(4.*a*a+alpha*alpha))/alpha/alpha*TMath::Exp(-1.+(alpha-TMath::Sqrt(4.*a*a+alpha*alpha))/2./a) ;
-//printf("efit=%f, t0=%e +- %e, ped=%f \n",efit,t0,t0err,pedestal) ;
- Double_t fmin,fedm,errdef ;
- Int_t npari,nparx,istat;
- gMinuit->mnstat(fmin,fedm,errdef,npari,nparx,istat) ;
-
-//if(fLowGainFlag)
-// printf("LowGain \n") ;
-//else
-// printf("highGain \n") ;
-
-//printf("fmin=%e \n",fmin) ;
-//getchar() ;
+// getchar() ;
+// }
+//====================
- if(1){ //fmin < 3.+0.3*efit ){ //Chi^2 of a good sample
- if(efit>0.){
- fEnergy=efit ;
- fTime=t0 ;
- }
- }
- else{
- fEnergy=0 ; //bad sample
- fTime=-999.;
- }
+ fEnergy=efit ;
+ fTime=t0 ;
fTime*=fPulseGenerator->GetRawFormatTimeTrigger() ;
else{ //bad sample
fEnergy=0. ;
fTime=-999. ;
+ fQuality=999.;
}
return kTRUE;
fRow = in->GetRow() +1;
fColumn = in->GetColumn()+1;
-
// Fill array with samples
- iBin++;
- if(tLength-iBin < nPreSamples) {
+ iBin--;
+ if(fPedSubtract && (in->GetTime() < nPreSamples)) {
pedMean += in->GetSignal();
nPed++;
}
- fSamples->AddAt(in->GetSignal(),tLength-iBin);
-// h->SetBinContent(tLength-iBin+1,in->GetSignal()) ;
+ fSamples->AddAt(in->GetSignal(),iBin);
+ fTimes->AddAt(in->GetTime(),iBin);
+
+//Debug==============
+// h->SetBinContent(iBin,in->GetSignal()) ;
} // in.Next()
TList * toFit= (TList*)gMinuit->GetObjectFit() ;
TArrayD * params=(TArrayD*)toFit->At(0) ;
TArrayI * samples = (TArrayI*)toFit->At(1) ;
+ TArrayI * times = (TArrayI*)toFit->At(2) ;
fret = 0. ;
if(iflag == 2)
for(Int_t iparam = 0 ; iparam < 2 ; iparam++)
Grad[iparam] = 0 ; // Will evaluate gradient
- Int_t nSamples=samples->GetSize() ; //Math::Min(70,samples->GetSize()) ;
Double_t t0=x[0] ;
Double_t en=x[1] ;
- Double_t a=params->At(0) ;
+ Double_t n=params->At(0) ;
Double_t alpha=params->At(1) ;
Double_t b=params->At(2) ;
Double_t beta=params->At(3) ;
+ Int_t overflow=(Int_t)params->At(5) ;
+ Int_t iBin = (Int_t) params->At(6) ;
+ Int_t nSamples=TMath::Min(iBin+70,samples->GetSize()) ; //Here we set number of points to fit (70)
- for(Int_t i = 0 ; i < nSamples ; i++) {
- if(samples->At(i)==0 || samples->At(i)==1023) //zero or overflow
+ for(Int_t i = iBin ; i < nSamples ; i++) {
+ Int_t sample = samples->At(i) ;
+ if(sample==0 || sample==overflow) //zero or overflow - scip point
continue ;
- Double_t dt=i*1.-t0 ;
- Double_t diff=float(samples->At(i))-Gamma2(dt,en,params) ;
- Double_t w=0.1+0.005*i ; //Mean Pedestal RMS + rising modulation
- // if(w==0)w=1. ;
- diff/=w ;
+ Double_t dt=1.*times->At(i)-t0 ;
+ Double_t diff=float(sample)-Gamma2(dt,en,params) ;
if(iflag == 2){ // calculate gradient
if(dt>=0.){
- Grad[0] += -2.*en*diff*((alpha*dt*(1.+a*dt)-1.-2.*a*dt)*TMath::Exp(-alpha*dt)+
- b*(beta*dt*(1.+a*dt)-1.-2.*a*dt)*TMath::Exp(-beta*dt)) /w ; //derivative over t0
- Grad[1] += -2.*diff*(dt+a*dt*dt)*(TMath::Exp(-alpha*dt)+
- b*TMath::Exp(-dt*beta))/w ;
+ Grad[0] += 2.*en*diff*(TMath::Power(dt,n-1.)*(n-alpha*dt)*TMath::Exp(-alpha*dt)+
+ b*dt*(2.-beta*dt)*TMath::Exp(-beta*dt)) ; //derivative over t0
+ Grad[1] += -2.*diff*(TMath::Power(dt,n)*TMath::Exp(-alpha*dt)+
+ b*dt*dt*TMath::Exp(-dt*beta)) ;
}
}
fret += diff*diff ;
}
- if(nSamples){
- fret/=nSamples ;
- if(iflag == 2){
- for(Int_t iparam = 0 ; iparam < 2 ; iparam++)
- Grad[iparam] /= nSamples ;
- }
- }
}
//-----------------------------------------------------------------------------
if(dt<0.)
return ped ; //pedestal
else
- return ped+en*(dt+params->At(0)*dt*dt)*(TMath::Exp(-dt*params->At(1))+params->At(2)*TMath::Exp(-dt*params->At(3))) ;
+ return ped+en*(TMath::Power(dt,params->At(0))*TMath::Exp(-dt*params->At(1))+params->At(2)*dt*dt*TMath::Exp(-dt*params->At(3))) ;
}
git://git.uio.no / u / mrichter / AliRoot.git / blobdiff