-
-}
-
-//____________________________________________________________________________
-void AliEMCALRawUtils::FitRaw(const Int_t firstTimeBin, const Int_t lastTimeBin, Float_t & amp, Float_t & time, Float_t & chi2, Bool_t & fitDone) const
-{ // Fits the raw signal time distribution
-
- //--------------------------------------------------
- //Do the fit, different fitting algorithms available
- //--------------------------------------------------
- int nsamples = lastTimeBin - firstTimeBin + 1;
- fitDone = kFALSE;
-
- switch(fFittingAlgorithm) {
- case Algo::kStandard:
- {
- if (nsamples < 3) { return; } // nothing much to fit
- //printf("Standard fitter \n");
-
- // Create Graph to hold data we will fit
- TGraph *gSig = new TGraph( nsamples);
- for (int i=0; i<nsamples; i++) {
- Int_t timebin = firstTimeBin + i;
- gSig->SetPoint(i, timebin, fRawAnalyzer->GetReversed(timebin));
- }
-
- TF1 * signalF = new TF1("signal", RawResponseFunction, 0, GetRawFormatTimeBins(), 5);
- signalF->SetParameters(10.,5.,fTau,fOrder,0.); //set all defaults once, just to be safe
- signalF->SetParNames("amp","t0","tau","N","ped");
- signalF->FixParameter(2,fTau); // tau in units of time bin
- signalF->FixParameter(3,fOrder); // order
- signalF->FixParameter(4, 0); // pedestal should be subtracted when we get here
- signalF->SetParameter(1, time);
- signalF->SetParameter(0, amp);
- // set rather loose parameter limits
- signalF->SetParLimits(0, 0.5*amp, 2*amp );
- signalF->SetParLimits(1, time - 4, time + 4);
-
- try {
- gSig->Fit(signalF, "QROW"); // Note option 'W': equal errors on all points
- // assign fit results
- amp = signalF->GetParameter(0);
- time = signalF->GetParameter(1);
- chi2 = signalF->GetChisquare();
- fitDone = kTRUE;
- }
- catch (const std::exception & e) {
- AliError( Form("TGraph Fit exception %s", e.what()) );
- // stay with default amp and time in case of exception, i.e. no special action required
- fitDone = kFALSE;
- }
- delete signalF;
-
- //printf("Std : Amp %f, time %g\n",amp, time);
- delete gSig; // delete TGraph
-
- break;
- }//kStandard Fitter
- //----------------------------
- case Algo::kLogFit:
- {
- if (nsamples < 3) { return; } // nothing much to fit
- //printf("LogFit \n");
-
- // Create Graph to hold data we will fit
- TGraph *gSigLog = new TGraph( nsamples);
- for (int i=0; i<nsamples; i++) {
- Int_t timebin = firstTimeBin + i;
- gSigLog->SetPoint(timebin, timebin, TMath::Log(fRawAnalyzer->GetReversed(timebin) ) );
- }
-
- TF1 * signalFLog = new TF1("signalLog", RawResponseFunctionLog, 0, GetRawFormatTimeBins(), 5);
- signalFLog->SetParameters(2.3, 5.,fTau,fOrder,0.); //set all defaults once, just to be safe
- signalFLog->SetParNames("amplog","t0","tau","N","ped");
- signalFLog->FixParameter(2,fTau); // tau in units of time bin
- signalFLog->FixParameter(3,fOrder); // order
- signalFLog->FixParameter(4, 0); // pedestal should be subtracted when we get here
- signalFLog->SetParameter(1, time);
- if (amp>=1) {
- signalFLog->SetParameter(0, TMath::Log(amp));
- }
-
- gSigLog->Fit(signalFLog, "QROW"); // Note option 'W': equal errors on all points
-
- // assign fit results
- Double_t amplog = signalFLog->GetParameter(0); //Not Amp, but Log of Amp
- amp = TMath::Exp(amplog);
- time = signalFLog->GetParameter(1);
- fitDone = kTRUE;
-
- delete signalFLog;
- //printf("LogFit: Amp %f, time %g\n",amp, time);
- delete gSigLog;
- break;
- } //kLogFit
- //----------------------------
-
- //----------------------------
- }//switch fitting algorithms
-
- return;
-}
-
-//__________________________________________________________________
-void AliEMCALRawUtils::FitParabola(const TGraph *gSig, Float_t & amp) const
-{
- //BEG YS alternative methods to calculate the amplitude
- Double_t * ymx = gSig->GetX() ;
- Double_t * ymy = gSig->GetY() ;
- const Int_t kN = 3 ;
- Double_t ymMaxX[kN] = {0., 0., 0.} ;
- Double_t ymMaxY[kN] = {0., 0., 0.} ;
- Double_t ymax = 0. ;
- // find the maximum amplitude
- Int_t ymiMax = 0 ;
- for (Int_t ymi = 0; ymi < gSig->GetN(); ymi++) {
- if (ymy[ymi] > ymMaxY[0] ) {
- ymMaxY[0] = ymy[ymi] ; //<========== This is the maximum amplitude
- ymMaxX[0] = ymx[ymi] ;
- ymiMax = ymi ;
- }
- }
- // find the maximum by fitting a parabola through the max and the two adjacent samples
- if ( ymiMax < gSig->GetN()-1 && ymiMax > 0) {
- ymMaxY[1] = ymy[ymiMax+1] ;
- ymMaxY[2] = ymy[ymiMax-1] ;
- ymMaxX[1] = ymx[ymiMax+1] ;
- ymMaxX[2] = ymx[ymiMax-1] ;
- if (ymMaxY[0]*ymMaxY[1]*ymMaxY[2] > 0) {
- //fit a parabola through the 3 points y= a+bx+x*x*x
- Double_t sy = 0 ;
- Double_t sx = 0 ;
- Double_t sx2 = 0 ;
- Double_t sx3 = 0 ;
- Double_t sx4 = 0 ;
- Double_t sxy = 0 ;
- Double_t sx2y = 0 ;
- for (Int_t i = 0; i < kN ; i++) {
- sy += ymMaxY[i] ;
- sx += ymMaxX[i] ;
- sx2 += ymMaxX[i]*ymMaxX[i] ;
- sx3 += ymMaxX[i]*ymMaxX[i]*ymMaxX[i] ;
- sx4 += ymMaxX[i]*ymMaxX[i]*ymMaxX[i]*ymMaxX[i] ;
- sxy += ymMaxX[i]*ymMaxY[i] ;
- sx2y += ymMaxX[i]*ymMaxX[i]*ymMaxY[i] ;
- }
- Double_t cN = (sx2y*kN-sy*sx2)*(sx3*sx-sx2*sx2)-(sx2y*sx-sxy*sx2)*(sx3*kN-sx*sx2);
- Double_t cD = (sx4*kN-sx2*sx2)*(sx3*sx-sx2*sx2)-(sx4*sx-sx3*sx2)*(sx3*kN-sx*sx2) ;
- Double_t c = cN / cD ;
- Double_t b = ((sx2y*kN-sy*sx2)-c*(sx4*kN-sx2*sx2))/(sx3*kN-sx*sx2) ;
- Double_t a = (sy-b*sx-c*sx2)/kN ;
- Double_t xmax = -b/(2*c) ;
- ymax = a + b*xmax + c*xmax*xmax ;//<========== This is the maximum amplitude
- amp = ymax;
- }
- }
-
- Double_t diff = TMath::Abs(1-ymMaxY[0]/amp) ;
- if (diff > 0.1)
- amp = ymMaxY[0] ;
- //printf("Yves : Amp %f, time %g\n",amp, time);
- //END YS
- return;