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 = 0; //(TCanvas*)gROOT->FindObjectAny("CSample") ;
+// if(!c)
+// c = new TCanvas("CSample","CSample") ;
+//
+// TH1D * h = 0 ; //(TH1D*)gROOT->FindObjectAny("hSample") ;
+// if(!h)
+// h=new TH1D("hSample","",200,0.,200.) ;
+//
+// TF1 * fff = 0 ; //(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
+ const Float_t maxEtoFit=5 ; //fit only samples above this energy, accept all samples (with good aRMS) below it
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()) {
+
+ //First remember new sample
+ fNewLowGainFlag = in->IsLowGain();
+ fNewModule = in->GetModule()+1;
+ fNewRow = in->GetRow() +1;
+ fNewColumn = in->GetColumn()+1;
+ fNewAmp = in->GetSignal() ;
+ fNewTime=in->GetTime() ;
+ //new handle already collected
Double_t pedestal =0. ;
if(fPedSubtract){
if (nPed > 0)
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. ;
+ Double_t wts=0 ;
+ Int_t tStart = 0 ;
+ for(Int_t i=iBin; i<fSamples->GetSize(); i++){
+ if(fSamples->At(i)>0){
+ Double_t de=fSamples->At(i)-pedestal ;
+ if(de>1.){
+ aMean+=de*i ;
+ aRMS+=de*i*i ;
+ wts+=de;
+ }
+ if(de>2 && tStart==0)
+ tStart=i ;
+ if(maxAmp<fSamples->At(i)){
+ maxBin=i ;
+ maxAmp=fSamples->At(i) ;
+ }
+ }
+ }
+ if(maxBin==fSamples->GetSize()-1){//bad "rising" sample
+ fEnergy=0. ;
+ fTime=-999.;
+ fQuality= 999. ;
+ return kTRUE ;
}
- if(cnts>0){
- aMean/=cnts;
- aRMS=aRMS/cnts-aMean*aMean;
+ 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(wts>0){
+ aMean/=wts;
+ aRMS=aRMS/wts-aMean*aMean;
+ }
+
+ //do not take too small energies
+ if(fEnergy < baseLine)
+ fEnergy = 0;
+
+ //do not test quality of too soft samples
+ if(fEnergy<maxEtoFit){
+ fTime=fTimes->At(tStart);
+ if(aRMS<2.) //sigle peak
+ fQuality=999. ;
+ else
+ fQuality= 0. ;
+ return kTRUE ;
+ }
+
+
+//Debug:=====Draw sample
+//if(fEnergy>pedestal+10.){
+//if(fLowGainFlag && fEnergy>2){
+// if(!c)
+// if(!fLowGainFlag && fRow==32 && fColumn==18){
+// TCanvas *c = new TCanvas("CSample","CSample") ;
+// c->cd() ;
+// h->Draw() ;
+// c->Update() ;
+// printf("fEnergy=%f, aRMS=%f \n",fEnergy,aRMS) ;
+//getchar() ;
+//}
+//======================
+
//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
gMinuit->mncler(); // Reset Minuit's list of paramters
gMinuit->SetPrintLevel(-1) ; // No Printout
// To set the address of the minimization function
fToFit->Clear() ;
+ Double_t b,bmin,bmax ;
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{
+ b=fSampleParamsLow->At(2) ;
+ bmin=0.5 ;
+ bmax=10. ;
+ }
+ 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) ;
+ b=fSampleParamsHigh->At(2) ;
+ bmin=0.05 ;
+ bmax=0.4 ;
}
fToFit->AddLast((TObject*)fSamples) ;
+ fToFit->AddLast((TObject*)fTimes) ;
gMinuit->SetObjectFit((TObject*)fToFit) ; // To tranfer pointer to UnfoldingChiSquare
Int_t ierflg ;
- gMinuit->mnparm(0, "t0", 1.*tStart, 0.1, 0, 0, ierflg) ;
+ gMinuit->mnparm(0, "t0", 1.*tStart, 0.01, 0, 0, ierflg) ;
if(ierflg != 0){
// 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) ;
+ gMinuit->mnparm(1, "Energy", amp0 , 0.01*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->mnparm(2, "p2", b, 0.01*b, bmin, bmax, 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
+ }
+
Double_t p0 = 0.0001 ; // "Tolerance" Evaluation stops when EDM = 0.0001*p0 ; The number of function call slightly
// depends on it.
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 ;
+
+ Double_t bfit, berr ;
+ gMinuit->GetParameter(2,bfit,berr) ;
+
+ //Calculate total energy
+ //this isparameterization of depetendence of pulse height on parameter b
+ if(fLowGainFlag)
+ efit*=99.54910 + 78.65038*bfit ;
+ else
+ efit*=80.33109+128.6433*bfit ;
+
+ if(efit<0. || efit > 10000.){
+//leave energy as previously found max
+// 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
if(fLowGainFlag){
- a=fSampleParamsLow->At(0) ;
- alpha=fSampleParamsLow->At(1) ;
+ fQuality/=2.+0.002*fEnergy ;
}
else{
- a=fSampleParamsHigh->At(0) ;
- alpha=fSampleParamsHigh->At(1) ;
+ fQuality/=0.75+0.0025*fEnergy ;
}
+//Debug================
+// Double_t n,alpha,beta ;
+// if(fLowGainFlag){
+// n=fSampleParamsLow->At(0) ;
+// alpha=fSampleParamsLow->At(1) ;
+// beta=fSampleParamsLow->At(3) ;
+// }
+// else{
+// n=fSampleParamsHigh->At(0) ;
+// alpha=fSampleParamsHigh->At(1) ;
+// beta=fSampleParamsHigh->At(3) ;
+// }
+//
+// if( fQuality > 1 && fEnergy > 20. && !fOverflow){
+// if(!fLowGainFlag && fRow==32 && fColumn==18){
+// printf("Col=%d, row=%d, qual=%f, E=%f, t0=%f, b=%f\n",fColumn,fRow,fQuality,efit,t0,bfit) ;
+// TCanvas * c = new TCanvas("samp") ;
// 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,bfit,beta) ;
// }
// else{
-// fff->SetParameters(pedestal,efit,t0,a,alpha,fSampleParamsHigh->At(2),fSampleParamsHigh->At(3)) ;
+// fff->SetParameters(pedestal,efit/sampleMaxHG,t0,n,alpha,bfit,beta) ;
+// }
+//// for(Int_t i=1;i<=h->GetNbinsX(); i++){
+// Double_t x=h->GetBinCenter(i) ;
+// h->SetBinContent(i,h->GetBinContent(i)-fff->Eval(x)) ;
// }
+// h->SetMinimum(-15.) ;
+// h->SetMaximum(15.) ;
+// h->Draw() ;
// 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() ;
-
- 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.;
- }
- if(fLowGainFlag)
- fEnergy *= fPulseGenerator->GetRawFormatHighLowGainFactor(); // *16
-
- fTime*=fPulseGenerator->GetRawFormatTimeTrigger() ;
+// getchar() ;
+// }
+//====================
+
+ fEnergy=efit ;
+ fTime=t0 ;
- if (fEnergy < baseLine) fEnergy = 0;
- }
- else{ //bad sample
- fEnergy=0. ;
- fTime=-999. ;
- }
return kTRUE;
}
fLowGainFlag = in->IsLowGain();
- fTime = fPulseGenerator->GetRawFormatTimeTrigger() * in->GetTime();
fModule = in->GetModule()+1;
fRow = in->GetRow() +1;
fColumn = in->GetColumn()+1;
+
+ //add previouly taken if coincides
+ if(fLowGainFlag==fNewLowGainFlag && fModule==fNewModule &&
+ fRow==fNewRow && fColumn==fNewColumn){
+ iBin--;
+ if(fPedSubtract && fNewTime < nPreSamples) {
+ pedMean += in->GetSignal();
+ nPed++;
+ }
+ fSamples->AddAt(fNewAmp,iBin);
+ fTimes->AddAt(fNewTime,iBin);
+ //Mark that we already take it
+ fNewModule=-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()
//_____________________________________________________________________________
void AliPHOSRawDecoderv1::UnfoldingChiSquare(Int_t & /*nPar*/, Double_t * Grad, Double_t & fret, Double_t * x, Int_t iflag)
{
- // Calculates the Chi square for the samples minimization
// Number of parameters, Gradient, Chi squared, parameters, what to do
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++)
+ for(Int_t iparam = 0 ; iparam < 3 ; 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 b=x[2] ;
+ Double_t n=params->At(0) ;
Double_t alpha=params->At(1) ;
- Double_t b=params->At(2) ;
Double_t beta=params->At(3) ;
+ Double_t ped=params->At(4) ;
+
+ Double_t overflow=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
+ Int_t tStep=times->At(iBin+1)-times->At(iBin) ;
+ Double_t ddt=TMath::Ceil(t0)-t0-tStep ;
+ Double_t exp1=TMath::Exp(-alpha*ddt) ;
+ Double_t exp2=TMath::Exp(-beta*ddt) ;
+ Double_t dexp1=TMath::Exp(-alpha*tStep) ;
+ Double_t dexp2=TMath::Exp(-beta*tStep) ;
+ for(Int_t i = iBin; i<nSamples ; i++) {
+ Double_t fsample = double(samples->At(i)) ;
+// if(fsample>=overflow)
+// continue ;
+ Double_t dt=double(times->At(i))-t0 ;
+ Double_t diff ;
+ if(dt<=0.){
+ diff=fsample - ped ;
+ fret += diff*diff ;
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 ;
- 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 ;
- }
}
- fret += diff*diff ;
- }
- if(nSamples){
- fret/=nSamples ;
- if(iflag == 2){
- for(Int_t iparam = 0 ; iparam < 2 ; iparam++)
- Grad[iparam] /= nSamples ;
+ exp1*=dexp1 ;
+ exp2*=dexp2 ;
+ Double_t dtn=TMath::Power(dt,n) ;
+ Double_t dtnE=dtn*exp1 ;
+ Double_t dt2E=dt*dt*exp2 ;
+ Double_t fit=ped+en*(dtnE + b*dt2E) ;
+ if(fit>=overflow){
+ diff=fsample-overflow ;
+ fret += diff*diff ;
+ //zero gradient here
+ }
+ else{
+ diff = fsample - fit ;
+ fret += diff*diff ;
+ if(iflag == 2){ // calculate gradient
+ Grad[0] += en*diff*(dtnE*(n/dt-alpha)+b*dt2E*(2./dt-beta)) ; //derivative over t0
+ Grad[1] -= diff*(dtnE+b*dt2E) ;
+ Grad[2] -= en*diff*dt2E ;
+ }
}
}
-
+ if(iflag == 2)
+ for(Int_t iparam = 0 ; iparam < 3 ; iparam++)
+ Grad[iparam] *= 2. ;
}
//-----------------------------------------------------------------------------
-Double_t AliPHOSRawDecoderv1::Gamma2(Double_t dt,Double_t en,TArrayD * params){ //Function for fitting samples
+Double_t AliPHOSRawDecoderv1::Gamma2(Double_t dt,Double_t en,Double_t b,TArrayD * params){ //Function for fitting samples
//parameters:
//dt-time after start
//en-amplutude
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))+b*dt*dt*TMath::Exp(-dt*params->At(3))) ;
}
git://git.uio.no / u / mrichter / AliRoot.git / blobdiff