/* $Id: $ */
-// This class plots samples and qualify their quality according to their shape
+// This class extracts the signal parameters (energy, time, quality)
+// from ALTRO samples. Energy is in ADC counts, time is in time bin units.
+// Class uses FastFitting algorithm to fit sample and extract time and Amplitude
+// and evaluate sample quality = (chi^2/NDF)/some parameterization providing
+// efficiency close to 100%
//
// Typical use case:
// AliPHOSRawFitter *fitter=new AliPHOSRawFitter();
// Double_t time = fitter.GetTime();
// Bool_t isLowGain = fitter.GetCaloFlag()==0;
-// Author: Dmitri Peressounko (Oct.2008)
-// Modified: Yuri Kharlov (Jul.2009)
+// Author: Dmitri Peressounko (after A.Pavlinov - see RAW/AliCaloFastAltroFitv0.cxx)
// --- ROOT system ---
+#include "TArrayI.h"
#include "TList.h"
#include "TMath.h"
-#include "TMinuit.h"
-#include "TCanvas.h"
-#include "TH1.h"
-#include "TH2.h"
+#include "TH1I.h"
#include "TF1.h"
+#include "TCanvas.h"
+#include "TFile.h"
#include "TROOT.h"
// --- AliRoot header files ---
//-----------------------------------------------------------------------------
AliPHOSRawFitterv2::AliPHOSRawFitterv2():
AliPHOSRawFitterv0(),
- fNtimeSamples(25),
- fRMScut(11.)
+ fAlpha(0.1),fBeta(0.035),fMax(0)
{
//Default constructor.
- fLGpar[0]=0.971 ;
- fLGpar[1]=0.0465;
- fLGpar[2]=1.56 ;
- fHGpar[0]=0.941 ;
- fHGpar[1]=0.0436;
- fHGpar[2]=1.65 ;
}
//-----------------------------------------------------------------------------
//-----------------------------------------------------------------------------
AliPHOSRawFitterv2::AliPHOSRawFitterv2(const AliPHOSRawFitterv2 &phosFitter ):
- AliPHOSRawFitterv0(phosFitter),
- fNtimeSamples(25),
- fRMScut(11.)
+ AliPHOSRawFitterv0(phosFitter),
+ fAlpha(0.1),fBeta(0.035),fMax(0)
{
//Copy constructor.
- fNtimeSamples=phosFitter.fNtimeSamples ;
- for(Int_t i=0; i<3;i++){
- fLGpar[i]=phosFitter.fLGpar[i] ;
- fHGpar[i]=phosFitter.fHGpar[i] ;
- }
- fRMScut=phosFitter.fRMScut ;
}
//-----------------------------------------------------------------------------
-AliPHOSRawFitterv2& AliPHOSRawFitterv2::operator = (const AliPHOSRawFitterv2 &phosFitter)
+AliPHOSRawFitterv2& AliPHOSRawFitterv2::operator = (const AliPHOSRawFitterv2 & /*phosFitter*/)
{
//Assignment operator.
-
- fNtimeSamples=phosFitter.fNtimeSamples ;
- for(Int_t i=0; i<3;i++){
- fLGpar[i]=phosFitter.fLGpar[i] ;
- fHGpar[i]=phosFitter.fHGpar[i] ;
- }
- fRMScut=phosFitter.fRMScut ;
return *this;
}
//reasonable shape, fits it with Gamma2 function and extracts
//energy and time.
- if (fNBunches > 1) {
- fQuality = 1000;
- return kTRUE;
- }
-
+ const Float_t maxEtoFit=5 ; //fit only samples above this energy, accept all samples (with good aRMS) below it
const Float_t kBaseLine = 1.0;
const Int_t kPreSamples = 10;
- Float_t pedMean = 0;
- Float_t pedRMS = 0;
- Int_t nPed = 0;
- UShort_t maxSample = 0;
- Int_t nMax = 0;
-
- TCanvas * cs = (TCanvas*)gROOT->FindObjectAny("CSample") ;
- if(!cs)
- cs = new TCanvas("CSample","CSample") ;
+ fOverflow = kFALSE ;
+ fEnergy=0 ;
+ if (fCaloFlag == 2 || fNBunches > 1) {
+ fQuality = 150;
+ return kTRUE;
+ }
+ if(fCaloFlag!=0 && fCaloFlag!=1){//Corrupted sample
+ fQuality=200;
+ fEnergy=0 ;
+ return kTRUE;
+ }
- TH1D * h = (TH1D*)gROOT->FindObjectAny("hSample") ;
- if(!h) h = new TH1D("hSample","",200,0.,200.) ;
+ //Evaluate pedestals
+ Float_t pedMean = 0;
+ Float_t pedRMS = 0;
+ Int_t nPed = 0;
+ for (Int_t i=sigLength-kPreSamples; i<sigLength; i++) {
+ nPed++;
+ pedMean += signal[i];
+ pedRMS += signal[i]*signal[i] ;
+ }
+ fEnergy = -111;
+ fQuality= 999. ;
Double_t pedestal = 0;
- for (Int_t i=0; i<sigLength; i++) {
- if (i<kPreSamples) {
- nPed++;
- pedMean += signal[i];
- pedRMS += signal[i]*signal[i] ;
- }
- if(signal[i] > maxSample) maxSample = signal[i];
- if(signal[i] == maxSample) nMax++;
- h->SetBinContent(i+1,signal[i]) ;
- }
- fEnergy = (Double_t)maxSample;
- if (maxSample > 900 && nMax > 2) fOverflow = kTRUE;
if (fPedSubtract) {
if (nPed > 0) {
fPedestalRMS=(pedRMS - pedMean*pedMean/nPed)/nPed ;
if(fPedestalRMS > 0.)
fPedestalRMS = TMath::Sqrt(fPedestalRMS) ;
- fEnergy -= (Double_t)(pedMean/nPed); // pedestal subtraction
+ pedestal = (Double_t)(pedMean/nPed); // pedestal subtraction
}
else
return kFALSE;
else {
//take pedestals from DB
pedestal = (Double_t) fAmpOffset ;
- if (fCalibData) {
- Float_t truePed = fCalibData->GetADCpedestalEmc(fModule, fCellZ, fCellX) ;
- Int_t altroSettings = fCalibData->GetAltroOffsetEmc(fModule, fCellZ, fCellX) ;
- pedestal += truePed - altroSettings ;
- }
- else{
- AliWarning(Form("Can not read data from OCDB")) ;
- }
- fEnergy-=pedestal ;
}
- if (fEnergy < kBaseLine) {
- fEnergy = 0;
- return kTRUE;
- }
- // calculate time
- fTime=0. ;
- Double_t tRMS = 0. ;
- Double_t tW = 0. ;
- Int_t cnts=0 ;
- Double_t a=0,b=0,c=0 ;
- if(fCaloFlag == 0){ // Low gain
- a=fLGpar[0] ;
- b=fLGpar[1] ;
- c=fLGpar[2] ;
+ //calculate rough quality of the sample and check for overflow
+ Int_t maxBin=0 ;
+ Int_t maxAmp=0 ;
+ Int_t minAmp= signal[0] ;
+ Int_t nMax = 0 ; //number of points in plato
+ Double_t aMean =0. ;
+ Double_t aRMS =0. ;
+ Double_t wts =0 ;
+ Bool_t falling = kTRUE ; //Bad monotoneusly falling sample
+ Bool_t rising = kTRUE ; //Bad monotoneusly riging sample
+ for (Int_t i=0; i<sigLength; i++){
+ if(signal[i] > pedestal){
+ Double_t de = signal[i] - pedestal ;
+ if(de > 1.) {
+ aMean += de*i ;
+ aRMS += de*i*i ;
+ wts += de;
+ }
+ if(signal[i] > maxAmp){
+ maxAmp = signal[i];
+ nMax=0;
+ maxBin = i ;
+ }
+ if(signal[i] == maxAmp){
+ nMax++;
+ }
+ if(signal[i] < minAmp)
+ minAmp=signal[i] ;
+ if(falling && i>0 && signal[i]<signal[i-1])
+ falling=kFALSE ;
+ if(rising && i>0 && signal[i]>signal[i-1])
+ rising=kFALSE ;
+ }
+ }
+
+ if(rising || falling){//bad "rising" or falling sample
+ fEnergy = 0. ;
+ fTime = 0. ; //-999. ;
+ fQuality= 250. ;
+ return kTRUE ;
}
- else if(fCaloFlag == 1){ // High gain
- a=fHGpar[0] ;
- b=fHGpar[1] ;
- c=fHGpar[2] ;
+ if(maxAmp-minAmp<3 && maxAmp>7 && sigLength>20){ //bad flat sample
+ fEnergy = 0. ;
+ fTime = 0; //-999. ;
+ fQuality= 260. ;
+ return kTRUE ;
}
+ fEnergy=Double_t(maxAmp)-pedestal ;
+ if (fEnergy < kBaseLine) fEnergy = 0;
+ fTime = sigStart-sigLength-3;
+
+ //do not test quality of too soft samples
+ if (wts > 0) {
+ aMean /= wts;
+ aRMS = aRMS/wts - aMean*aMean;
+ }
+ if (fEnergy <= maxEtoFit){
+ if (aRMS < 2.) //sigle peak
+ fQuality = 299. ;
+ else
+ fQuality = 0. ;
+ //Evaluate time of signal arriving
+ return kTRUE ;
+ }
- fQuality = 0. ;
+ //look for plato on the top of sample
+ if (fEnergy>500 && //this is not fluctuation of soft sample
+ nMax>2){ //and there is a plato
+ fOverflow = kTRUE ;
+ }
- for(Int_t i=1; i<sigLength && cnts<fNtimeSamples; i++){
- if(signal[i] < pedestal)
- continue ;
- Double_t de = signal[i] - pedestal ;
- Double_t av = signal[i-1] - pedestal + de;
- if(av<=0.) //this is fluctuation around pedestal, skip it
- continue ;
- Double_t ds = signal[i] - signal[i-1] ;
- Double_t ti = ds/av ; // calculate log. derivative
- ti = a/(ti+b)-c*ti ; // and compare with parameterization
- ti = i - ti ;
- Double_t wi = TMath::Abs(ds) ;
- fTime += ti*wi ;
- tW += wi;
- tRMS += ti*ti*wi ;
- cnts++ ;
- }
-
- if(tW>0.){
- fTime/=tW ;
- fQuality = tRMS/tW-fTime*fTime ;
- fTime+=sigStart;
- }
- else{
- fTime=-999. ;
- fQuality=999. ;
- }
-
- Bool_t isBad = 0 ;
- for(Int_t i=1; i<sigLength-1&&!isBad; i++){
- if(signal[i] > signal[i-1]+5 && signal[i] > signal[i+1]+5) { //single jump
- isBad=1 ;
+
+ //do not fit High Gain samples with overflow
+ if(fCaloFlag==1 && fOverflow){
+ fQuality = 99. ;
+ return kTRUE;
+
+ }
+
+ //----Now fit sample with reasonable shape------
+ TArrayD samples(sigLength); // array of sample amplitudes
+ TArrayD times(sigLength); // array of sample time stamps
+ for (Int_t i=0; i<sigLength; i++) {
+ samples.AddAt(signal[i]-pedestal,sigLength-i-1);
+ times.AddAt(double(i),i);
+ }
+
+ if(fMax==0)
+ FindMax() ;
+ if(!FindAmpT(samples,times)){
+ if(AliLog::GetDebugLevel("PHOS","AliPHOSRawFitterv2")>3){
+ goto plot ;
+ }
+ else{
+ return kFALSE ;
}
}
- if(pedestal < 10.)
- isBad=1 ;
-
- if(fPedestalRMS > 0.1)
- isBad=1 ;
+ fEnergy*=fMax ;
+ fTime += sigStart-sigLength-3;
+
+
+ //Impose cut on quality
+// fQuality/=4. ;
+ fQuality/=1.+0.005*fEnergy ;
+
+ //Draw corrupted samples
+ if(AliLog::GetDebugLevel("PHOS","AliPHOSRawFitterv2")>3){
+ if(fEnergy > 50. ){
+ plot:
+ printf("Sample par: amp=%f, t0=%f, Quality=%f \n",fEnergy,fTime,fQuality) ;
+ TH1I * h = (TH1I*)gROOT->FindObjectAny("hSamples") ;
+ if(!h) h = new TH1I("hSamples","Samples",65,0.,65.) ;
+ h->Reset() ;
+ for (Int_t i=0; i<sigLength; i++) {
+ h->SetBinContent(i+1,float(samples.At(i))) ;
+ }
+// TF1 * fffit = new TF1("fffit","[0]+[1]*((x-[2])/[3])^2*exp(2.-2.*(x-[2])/[3])",0.,200.) ;
+ TF1 * fffit = new TF1("fffit","[0]*((x-[1])*(x-[1])*exp(-[2]*(x-[1]))+(x-[1])*exp(-[3]*(x-[1])))",0.,60.) ;
+ fffit->SetParameters(fEnergy/fMax,fTime-(sigStart-sigLength-3),fAlpha,fBeta) ;
+ fffit->SetLineColor(2) ;
+ TCanvas * can = (TCanvas*)gROOT->FindObjectAny("cSamples") ;
+ if(!can){
+ can = new TCanvas("cSamples","cSamples",10,10,600,600) ;
+ can->SetFillColor(0) ;
+ can->SetFillStyle(0) ;
+ can->Range(0,0,1,1);
+ can->SetBorderSize(0);
+ }
+ can->cd() ;
- for(Int_t i=1; i<sigLength-1&&!isBad; i++){
- if(signal[i] < pedestal-1)
- isBad=1 ;
+ TPad * spectrum_1 = new TPad("spectrum_1", "spectrum_1",0.001,0.32,0.99,0.99);
+ spectrum_1->Draw();
+ spectrum_1->cd();
+ spectrum_1->Range(0,0,1,1);
+ spectrum_1->SetFillColor(0);
+ spectrum_1->SetFillStyle(4000);
+ spectrum_1->SetBorderSize(1);
+ spectrum_1->SetBottomMargin(0.012);
+ spectrum_1->SetTopMargin(0.03);
+ spectrum_1->SetLeftMargin(0.10);
+ spectrum_1->SetRightMargin(0.05);
+
+ char title[155] ;
+ sprintf(title,"Sample, mod=%d, x=%d, z=%d, Quality=%5.1f",fModule,fCellX,fCellZ,fQuality) ;
+ h->SetTitle(title) ;
+// h->Fit(fffit,"","",0.,51.) ;
+ h->Draw() ;
+ fffit->Draw("same") ;
+/*
+ sprintf(title,"mod%d_x%d_z%d_HG_qu%4.1f",fModule,fCellX,fCellZ,fQuality) ;
+ TFile fout("samples_bad.root","update") ;
+ h->Write(title);
+ fout.Close() ;
+*/
+ can->cd() ;
+ TPad *spectrum_2 = new TPad("spectrum_2", "spectrum_2",0.001,0.01,0.99,0.32);
+ spectrum_2->SetFillColor(0) ;
+ spectrum_2->SetFillStyle(0) ;
+ spectrum_2->SetGridy() ;
+ spectrum_2->Draw();
+ spectrum_2->Range(0,0,1,1);
+ spectrum_2->SetFillColor(0);
+ spectrum_2->SetBorderSize(1);
+ spectrum_2->SetTopMargin(0.01);
+ spectrum_2->SetBottomMargin(0.25);
+ spectrum_2->SetLeftMargin(0.10);
+ spectrum_2->SetRightMargin(0.05);
+ spectrum_2->cd() ;
+
+ TH1I * hd = (TH1I*)gROOT->FindObjectAny("hSamplesDif") ;
+ if(!hd) hd = new TH1I("hd","Samples",65,0.,65.) ;
+ hd->Reset() ;
+ for (Int_t i=0; i<sigLength; i++) {
+ hd->SetBinContent(i+1,TMath::Max(-1023.,TMath::Min(1023.,samples.At(i)+pedestal-fffit->Eval(i)))) ;
+ }
+ hd->Draw();
+
+ can->Update() ;
+ printf("Press <enter> to continue\n") ;
+ getchar();
+
+
+ delete fffit ;
+ delete spectrum_1 ;
+ delete spectrum_2 ;
+ }
}
- if(fEnergy>10. && !isBad ){
- printf("fE=%f, ped=%f, fQuality=%f, pedRMS=%f \n",fEnergy,pedestal,fQuality,pedRMS) ;
- if(fOverflow)printf(" Overflow \n") ;
- if(isBad)printf("bad") ;
- cs->cd() ;
- h->Draw() ;
- cs->Update() ;
- getchar() ;
- }
-
return kTRUE;
}
+//------------------------------------------------------------------
+Bool_t AliPHOSRawFitterv2::FindAmpT(TArrayD samples, TArrayD times){
+// makes fit
+
+ const Int_t nMaxIter=50 ; //Maximal number of iterations
+ const Double_t epsdt = 1.e-3 ; //expected precision of t0 calculation
+
+ Double_t dTime=times.At(0)-0.5 ; //Most probable Initial approximation
+//printf(" start fit... \n") ;
+
+ Int_t nPoints = samples.GetSize() ;
+ Double_t dea=TMath::Exp(-fAlpha) ;
+ Double_t deb=TMath::Exp(-fBeta) ;
+ Double_t dt=1.,timeOld=dTime,dfOld=0. ;
+ for(Int_t iter=0; iter<nMaxIter; iter++){
+ Double_t yy=0.;
+ Double_t yf=0. ;
+ Double_t ydf=0. ;
+ Double_t yddf=0. ;
+ Double_t ff=0. ;
+ Double_t fdf=0. ;
+ Double_t dfdf=0. ;
+ Double_t fddf=0. ;
+ Int_t nfit=0 ;
+ Double_t aexp=TMath::Exp(-fAlpha*(times.At(0)-1.-dTime)) ;
+ Double_t bexp=TMath::Exp(-fBeta*(times.At(0)-1.-dTime)) ;
+ for(Int_t i=0; i<nPoints; i++){
+ Double_t t= times.At(i)-dTime ;
+ aexp*=dea ;
+ bexp*=deb ;
+ if(t<0.) continue ;
+ Double_t y=samples.At(i) ;
+ if(y<=fAmpThreshold)
+ continue ;
+ nfit++ ;
+ Double_t at=fAlpha*t ;
+ Double_t bt = fBeta*t ;
+ Double_t phi=t*(t*aexp+bexp) ;
+ Double_t dphi=t*aexp*(2.-at)+(1.-bt)*bexp ;
+ Double_t ddphi=aexp*(2.-4.*at+at*at)+bexp*fBeta*(bt-2.) ;
+ yy+=y*y ;
+ yf+=y*phi ;
+ ydf+=y*dphi ;
+ yddf+=y*ddphi ;
+ ff+=phi*phi ;
+ fdf+=phi*dphi ;
+ dfdf+=dphi*dphi ;
+ fddf+=phi*ddphi ;
+ }
+
+ if(ff==0.||nfit==0. ){
+ fQuality=199 ;
+ return kFALSE ;
+ }
+ Double_t f=ydf*ff-yf*fdf ; //d(chi2)/dt
+ Double_t df=yf*(dfdf+fddf)-yddf*ff-ydf*fdf;
+ if(df<=0.){ //we are too far from the root. In the wicinity of root df>0
+ if(iter!=0 && dfOld>0.){//If at previous step df was OK, just reduce step size
+ dt*=0.5 ;
+ dTime=timeOld+dt ;
+ continue ;
+ }
+ if(f<0){ //f<0 => dTime is too small and we still do not know root region
+ dTime+=2. ;
+ continue ;
+ }
+ else{ //dTime is too large, we are beyond the root region
+ dTime-=2. ;
+ continue ;
+ }
+ }
+ dt=-f/df ;
+ if(TMath::Abs(dt)<epsdt){
+ fQuality=(yy-yf*yf/ff)/nfit ;
+ fEnergy=yf/ff ; //ff!=0 already tested
+ fTime=dTime ;
+ return kTRUE ;
+ }
+ //In some cases time steps are huge (derivative ~0)
+ if(dt>10.) dt=10. ; //restrict step size
+ if(dt<-10.) dt=-5.3 ; //this restriction should be asimmetric to avoid jumping from one point to another
+ timeOld=dTime ; //remember current position for the case
+ dfOld=df ; //of reduction of dt step size
+ dTime+=dt ;
+
+ if(dTime>100. || dTime<-30.){ //this is corrupted sample, do not spend time improving accuracy.
+ fQuality=(yy-yf*yf/ff)/nfit ;
+ fEnergy=yf/ff ; //ff!=0 already tested
+ fTime=dTime ;
+ return kFALSE ;
+ }
+
+ }
+ //failed to find a root, too many iterations
+ fQuality=99.;
+ fEnergy=0 ;
+ return kFALSE ;
+}
+//_________________________________________
+void AliPHOSRawFitterv2::FindMax(){
+ //Finds maxumum of currecnt parameterization
+ Double_t t=2./fAlpha ;
+ fMax = t*t*TMath::Exp(-fAlpha*t)+t*TMath::Exp(-fBeta*t) ;
+ Double_t dt=15 ;
+ while(dt>0.01){
+ Double_t dfdt=(2.*t-fAlpha*t*t)*TMath::Exp(-fAlpha*t)+(1.-fBeta*t)*TMath::Exp(-fBeta*t) ;
+ if(dfdt>0.)
+ t+=dt ;
+ else
+ t-=dt ;
+ Double_t maxNew = t*t*TMath::Exp(-fAlpha*t)+t*TMath::Exp(-fBeta*t) ;
+ if(maxNew>fMax)
+ fMax=maxNew ;
+ else{
+ dt/=2 ;
+ if(dfdt<0.)
+ t+=dt ;
+ else
+ t-=dt ;
+ }
+ }
+}
+
git://git.uio.no / u / mrichter / AliRoot.git / commitdiff