class AliEMCALDigitizer;
#include "AliEMCALDigit.h"
#include "AliEMCAL.h"
-
+#include "AliCaloCalibPedestal.h"
+#include "AliCaloFastAltroFitv0.h"
+#include "AliCaloNeuralFit.h"
+#include "AliCaloBunchInfo.h"
+#include "AliCaloFitResults.h"
+#include "AliCaloRawAnalyzerFastFit.h"
+#include "AliCaloRawAnalyzerNN.h"
+#include "AliCaloRawAnalyzerLMS.h"
+#include "AliCaloRawAnalyzerPeakFinder.h"
+#include "AliCaloRawAnalyzerCrude.h"
+
ClassImp(AliEMCALRawUtils)
// Signal shape parameters
-Int_t AliEMCALRawUtils::fgTimeBins = 256; // number of time bins for EMCAL
+Int_t AliEMCALRawUtils::fgTimeBins = 256; // number of sampling bins of the raw RO signal (we typically use 15-50; theoretical max is 1k+)
Double_t AliEMCALRawUtils::fgTimeBinWidth = 100E-9 ; // each sample is 100 ns
Double_t AliEMCALRawUtils::fgTimeTrigger = 1.5E-6 ; // 15 time bins ~ 1.5 musec
Int_t AliEMCALRawUtils::fgPedestalValue = 32; // pedestal value for digits2raw
Double_t AliEMCALRawUtils::fgFEENoise = 3.; // 3 ADC channels of noise (sampled)
-AliEMCALRawUtils::AliEMCALRawUtils()
+AliEMCALRawUtils::AliEMCALRawUtils(fitAlgorithm fitAlgo)
: fHighLowGainFactor(0.), fOrder(0), fTau(0.), fNoiseThreshold(0),
- fNPedSamples(0), fGeom(0), fOption("")
+ fNPedSamples(0), fGeom(0), fOption(""),
+ fRemoveBadChannels(kTRUE),fFittingAlgorithm(0),fRawAnalyzer(0)
{
//These are default parameters.
//Can be re-set from without with setter functions
+ //Already set in the OCDB and passed via setter in the AliEMCALReconstructor
fHighLowGainFactor = 16. ; // adjusted for a low gain range of 82 GeV (10 bits)
fOrder = 2; // order of gamma fn
fTau = 2.35; // in units of timebin, from CERN 2007 testbeam
- fNoiseThreshold = 4;
- fNPedSamples = 5;
+ fNoiseThreshold = 3; // 3 ADC counts is approx. noise level
+ fNPedSamples = 4; // less than this value => likely pedestal samples
+ fRemoveBadChannels = kTRUE; //Remove bad channels before fitting
+ SetFittingAlgorithm(fitAlgo);
//Get Mapping RCU files from the AliEMCALRecParam
const TObjArray* maps = AliEMCALRecParam::GetMappings();
}
//____________________________________________________________________________
-AliEMCALRawUtils::AliEMCALRawUtils(AliEMCALGeometry *pGeometry)
+AliEMCALRawUtils::AliEMCALRawUtils(AliEMCALGeometry *pGeometry, fitAlgorithm fitAlgo)
: fHighLowGainFactor(0.), fOrder(0), fTau(0.), fNoiseThreshold(0),
- fNPedSamples(0), fGeom(pGeometry), fOption("")
+ fNPedSamples(0), fGeom(pGeometry), fOption(""),
+ fRemoveBadChannels(kTRUE),fFittingAlgorithm(0),fRawAnalyzer()
{
//
// Initialize with the given geometry - constructor required by HLT
//These are default parameters.
//Can be re-set from without with setter functions
+ //Already set in the OCDB and passed via setter in the AliEMCALReconstructor
fHighLowGainFactor = 16. ; // adjusted for a low gain range of 82 GeV (10 bits)
fOrder = 2; // order of gamma fn
fTau = 2.35; // in units of timebin, from CERN 2007 testbeam
- fNoiseThreshold = 3;
- fNPedSamples = 5;
-
+ fNoiseThreshold = 3; // 3 ADC counts is approx. noise level
+ fNPedSamples = 4; // less than this value => likely pedestal samples
+ fRemoveBadChannels = kTRUE; //Remove bad channels before fitting
+ SetFittingAlgorithm(fitAlgo);
+
+
//Get Mapping RCU files from the AliEMCALRecParam
const TObjArray* maps = AliEMCALRecParam::GetMappings();
if(!maps) AliFatal("Cannot retrieve ALTRO mappings!!");
fNoiseThreshold(rawU.fNoiseThreshold),
fNPedSamples(rawU.fNPedSamples),
fGeom(rawU.fGeom),
- fOption(rawU.fOption)
+ fOption(rawU.fOption),
+ fRemoveBadChannels(rawU.fRemoveBadChannels),
+ fFittingAlgorithm(rawU.fFittingAlgorithm),
+ fRawAnalyzer(rawU.fRawAnalyzer)
{
//copy ctor
fMapping[0] = rawU.fMapping[0];
fNPedSamples = rawU.fNPedSamples;
fGeom = rawU.fGeom;
fOption = rawU.fOption;
+ fRemoveBadChannels = rawU.fRemoveBadChannels;
+ fFittingAlgorithm = rawU.fFittingAlgorithm;
+ fRawAnalyzer = rawU.fRawAnalyzer;
fMapping[0] = rawU.fMapping[0];
fMapping[1] = rawU.fMapping[1];
fMapping[2] = rawU.fMapping[2];
}
//____________________________________________________________________________
-void AliEMCALRawUtils::Raw2Digits(AliRawReader* reader,TClonesArray *digitsArr)
+void AliEMCALRawUtils::Raw2Digits(AliRawReader* reader,TClonesArray *digitsArr, const AliCaloCalibPedestal* pedbadmap)
{
// convert raw data of the current event to digits
AliCaloRawStreamV3 in(reader,"EMCAL",fMapping);
// Select EMCAL DDL's;
- reader->Select("EMCAL");
-
- //Updated fitting routine from 2007 beam test takes into account
- //possibility of two peaks in data and selects first one for fitting
- //Also sets some of the starting parameters based on the shape of the
- //given raw signal being fit
-
- TF1 * signalF = new TF1("signal", RawResponseFunction, 0, GetRawFormatTimeBins(), 5);
- signalF->SetParameters(10.,0.,fTau,fOrder,5.); //set all defaults once, just to be safe
- signalF->SetParNames("amp","t0","tau","N","ped");
- signalF->SetParameter(2,fTau); // tau in units of time bin
- signalF->SetParLimits(2,2,-1);
- signalF->SetParameter(3,fOrder); // order
- signalF->SetParLimits(3,2,-1);
-
- Int_t id = -1;
- Float_t time = 0. ;
- Float_t amp = 0. ;
- Int_t i = 0;
- Int_t startBin = 0;
+ reader->Select("EMCAL",0,43); // 43 = AliEMCALGeoParams::fgkLastAltroDDL
- //Graph to hold data we will fit (should be converted to an array
- //later to speed up processing
- TGraph * gSig = new TGraph(GetRawFormatTimeBins());
+ // fRawAnalyzer setup
+ fRawAnalyzer->SetAmpCut(fNoiseThreshold);
+ fRawAnalyzer->SetFitArrayCut(fNoiseThreshold);
+ fRawAnalyzer->SetIsZeroSuppressed(true); // TMP - should use stream->IsZeroSuppressed(), or altro cfg registers later
+ // channel info parameters
Int_t lowGain = 0;
Int_t caloFlag = 0; // low, high gain, or TRU, or LED ref.
// start loop over input stream
while (in.NextDDL()) {
while (in.NextChannel()) {
-
- //Check if the signal is high or low gain and then do the fit,
- //if it is from TRU do not fit
- caloFlag = in.GetCaloFlag();
- if (caloFlag != 0 && caloFlag != 1) continue;
-
- // There can be zero-suppression in the raw data,
- // so set up the TGraph in advance
- for (i=0; i < GetRawFormatTimeBins(); i++) {
- gSig->SetPoint(i, i , 0);
- }
-
- Int_t maxTime = 0;
- Int_t min = 0x3ff; // init to 10-bit max
- Int_t max = 0; // init to 10-bit min
- int nsamples = 0;
- while (in.NextBunch()) {
- const UShort_t *sig = in.GetSignals();
- startBin = in.GetStartTimeBin();
-
- if (((UInt_t) maxTime) < in.GetStartTimeBin()) {
- maxTime = in.GetStartTimeBin(); // timebins come in reverse order
- }
- if (maxTime < 0 || maxTime >= GetRawFormatTimeBins()) {
- AliWarning(Form("Invalid time bin %d",maxTime));
- maxTime = GetRawFormatTimeBins();
- }
- nsamples += in.GetBunchLength();
- for (i = 0; i < in.GetBunchLength(); i++) {
- time = startBin--;
- gSig->SetPoint(time, time, (Double_t) sig[i]) ;
- if (max < sig[i]) max= sig[i];
- if (min > sig[i]) min = sig[i];
- }
+ //Check if the signal is high or low gain and then do the fit,
+ //if it is from TRU or LEDMon do not fit
+ caloFlag = in.GetCaloFlag();
+ if (caloFlag != 0 && caloFlag != 1) continue;
+
+ //Do not fit bad channels
+ if(fRemoveBadChannels && pedbadmap->IsBadChannel(in.GetModule(),in.GetColumn(),in.GetRow())) {
+ //printf("Tower from SM %d, column %d, row %d is BAD!!! Skip \n", in.GetModule(),in.GetColumn(),in.GetRow());
+ continue;
+ }
+
+ vector<AliCaloBunchInfo> bunchlist;
+ while (in.NextBunch()) {
+ bunchlist.push_back( AliCaloBunchInfo(in.GetStartTimeBin(), in.GetBunchLength(), in.GetSignals() ) );
} // loop over bunches
-
- if (nsamples > 0) { // this check is needed for when we have zero-supp. on, but not sparse readout
- id = fGeom->GetAbsCellIdFromCellIndexes(in.GetModule(), in.GetRow(), in.GetColumn()) ;
- lowGain = in.IsLowGain();
+ Float_t time = 0;
+ Float_t amp = 0;
- gSig->Set(maxTime+1);
- if ( (max - min) > fNoiseThreshold) FitRaw(gSig, signalF, amp, time) ;
-
- //if (caloFlag == 0 || caloFlag == 1) { // low gain or high gain
- if (amp > 0 && amp < 2000) { //check both high and low end of
- //result, 2000 is somewhat arbitrary - not nice with magic numbers in the code..
- AliDebug(2,Form("id %d lowGain %d amp %g", id, lowGain, amp));
-
- AddDigit(digitsArr, id, lowGain, (Int_t)amp, time);
- }
+ if ( fFittingAlgorithm == kFastFit || fFittingAlgorithm == kNeuralNet || fFittingAlgorithm == kLMS || fFittingAlgorithm == kPeakFinder || fFittingAlgorithm == kCrude) {
+ // all functionality to determine amp and time etc is encapsulated inside the Evaluate call for these methods
+ AliCaloFitResults fitResults = fRawAnalyzer->Evaluate( bunchlist, in.GetAltroCFG1(), in.GetAltroCFG2());
+
+ amp = fitResults.GetAmp();
+ time = fitResults.GetTof();
+ }
+ else { // for the other methods we for now use the functionality of
+ // AliCaloRawAnalyzer as well, to select samples and prepare for fits,
+ // if it looks like there is something to fit
+
+ // parameters init.
+ Float_t ampEstimate = 0;
+ short maxADC = 0;
+ short timeEstimate = 0;
+ Float_t pedEstimate = 0;
+ Int_t first = 0;
+ Int_t last = 0;
+ Int_t bunchIndex = 0;
+ //
+ // The PreFitEvaluateSamples + later call to FitRaw will hopefully
+ // be replaced by a single Evaluate call or so soon, like for the other
+ // methods, but this should be good enough for evaluation of
+ // the methods for now (Jan. 2010)
+ //
+ int nsamples = fRawAnalyzer->PreFitEvaluateSamples( bunchlist, in.GetAltroCFG1(), in.GetAltroCFG2(), bunchIndex, ampEstimate, maxADC, timeEstimate, pedEstimate, first, last);
- //}
+ if (ampEstimate > fNoiseThreshold) { // something worth looking at
+
+ time = timeEstimate;
+ amp = ampEstimate;
+
+ if ( nsamples > 1 ) { // possibly something to fit
+ FitRaw(first, last, amp, time);
+ }
+
+ if ( amp>0 && time>0 ) { // brief sanity check of fit results
+
+ // check fit results: should be consistent with initial estimates
+ // more magic numbers, but very loose cuts, for now..
+ // We have checked that amp and ampEstimate values are positive so division for assymmetry
+ // calculation should be OK/safe
+ Float_t ampAsymm = (amp - ampEstimate)/(amp + ampEstimate);
+ if ( (TMath::Abs(ampAsymm) > 0.1) ) {
+ AliDebug(2,Form("Fit results amp %f time %f not consistent with expectations ped %f max-ped %f time %d",
+ amp, time, pedEstimate, ampEstimate, timeEstimate));
+
+ // what should do we do then? skip this channel or assign the simple estimate?
+ // for now just overwrite the fit results with the simple estimate
+ amp = ampEstimate;
+ time = timeEstimate;
+ } // asymm check
+ } // amp & time check
+ } // ampEstimate check
+ } // method selection
+
+ if (amp > fNoiseThreshold) { // something to be stored
+ Int_t id = fGeom->GetAbsCellIdFromCellIndexes(in.GetModule(), in.GetRow(), in.GetColumn()) ;
+ lowGain = in.IsLowGain();
- // Reset graph
- for (Int_t index = 0; index < gSig->GetN(); index++) {
- gSig->SetPoint(index, index, 0) ;
- }
- // Reset starting parameters for fit function
- signalF->SetParameters(10.,0.,fTau,fOrder,5.); //reset all defaults just to be safe
+ // go from time-bin units to physical time fgtimetrigger
+ time = time * GetRawFormatTimeBinWidth(); // skip subtraction of fgTimeTrigger?
- } // nsamples>0 check, some data found for this channel; not only trailer/header
+ AliDebug(2,Form("id %d lowGain %d amp %g", id, lowGain, amp));
+ // printf("Added tower: SM %d, row %d, column %d, amp %3.2f\n",in.GetModule(), in.GetRow(), in.GetColumn(),amp);
+ // round off amplitude value to nearest integer
+ AddDigit(digitsArr, id, lowGain, TMath::Nint(amp), time);
+ }
+
} // end while over channel
} //end while over DDL's, of input stream
-
- delete signalF ;
- delete gSig;
-
+
return ;
}
// Called by Raw2Digits
AliEMCALDigit *digit = 0, *tmpdigit = 0;
-
TIter nextdigit(digitsArr);
while (digit == 0 && (tmpdigit = (AliEMCALDigit*) nextdigit())) {
if (tmpdigit->GetId() == id)
}
if (!digit) { // no digit existed for this tower; create one
- if (lowGain)
+ if (lowGain && amp > fgkOverflowCut)
amp = Int_t(fHighLowGainFactor * amp);
Int_t idigit = digitsArr->GetEntries();
new((*digitsArr)[idigit]) AliEMCALDigit( -1, -1, id, amp, time, idigit) ;
}
//____________________________________________________________________________
-void AliEMCALRawUtils::FitRaw(TGraph * gSig, TF1* signalF, Float_t & amp, Float_t & time) const
-{
- // Fits the raw signal time distribution; from AliEMCALGetter
- printf("*********************** FIT Signal\n");
- amp = time = 0. ;
- Double_t ped = 0;
- Int_t nPed = 0;
-
- for (Int_t index = 0; index < fNPedSamples; index++) {
- Double_t ttime, signal;
- gSig->GetPoint(index, ttime, signal) ;
- if (signal > 0) {
- ped += signal;
- nPed++;
- }
- }
-
- if (nPed > 0)
- ped /= nPed;
- else {
- AliWarning("Could not determine pedestal");
- ped = 10; // put some small value as first guess
- }
-
-
- Int_t maxFound = 0;
- Int_t iMax = 0;
- Float_t max = -1;
- Float_t maxFit = gSig->GetN();
- Float_t minAfterSig = 9999;
- Int_t tminAfterSig = gSig->GetN();
- Int_t nPedAfterSig = 0;
- Int_t plateauWidth = 0;
- Int_t plateauStart = 9999;
- Float_t cut = 0.3;
-
- for (Int_t i=fNPedSamples; i < gSig->GetN(); i++) {
- Double_t ttime, signal;
- gSig->GetPoint(i, ttime, signal) ;
- if (!maxFound && signal > max) {
- iMax = i;
- max = signal;
- }
- else if ( max > ped + fNoiseThreshold ) {
- maxFound = 1;
- minAfterSig = signal;
- tminAfterSig = i;
- }
- if (maxFound) {
- if ( signal < minAfterSig) {
- minAfterSig = signal;
- tminAfterSig = i;
- }
- if (i > tminAfterSig + 5) { // Two close peaks; end fit at minimum
- maxFit = tminAfterSig;
- break;
+void AliEMCALRawUtils::FitRaw(const Int_t firstTimeBin, const Int_t lastTimeBin, Float_t & amp, Float_t & time) const
+{ // Fits the raw signal time distribution
+
+ //--------------------------------------------------
+ //Do the fit, different fitting algorithms available
+ //--------------------------------------------------
+ int nsamples = lastTimeBin - firstTimeBin + 1;
+
+ switch(fFittingAlgorithm) {
+ case 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(timebin, timebin, fRawAnalyzer->GetReversed(timebin));
}
- if ( signal < cut*max){ //stop fit at 30% amplitude(avoid the pulse shape falling edge)
- maxFit = i;
- break;
+
+ 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);
+
+ gSig->Fit(signalF, "QROW"); // Note option 'W': equal errors on all points
+
+ // assign fit results
+ amp = signalF->GetParameter(0);
+ time = signalF->GetParameter(1);
+
+ delete signalF;
+
+ // cross-check with ParabolaFit to see if the results make sense
+ FitParabola(gSig, amp); // amp is possibly updated
+
+ //printf("Std : Amp %f, time %g\n",amp, time);
+ delete gSig; // delete TGraph
+
+ break;
+ }//kStandard Fitter
+ //----------------------------
+ case 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) ) );
}
- if ( signal < ped + fNoiseThreshold)
- nPedAfterSig++;
- if (nPedAfterSig >= 5) { // include 5 pedestal bins after peak
- maxFit = i;
- break;
+
+ 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));
}
- }
- //Add check on plateau
- if (signal >= fgkRawSignalOverflow - fNoiseThreshold) {
- if(plateauWidth == 0) plateauStart = i;
- plateauWidth++;
- }
- }
+
+ 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);
+
+ delete signalFLog;
+ //printf("LogFit: Amp %f, time %g\n",amp, time);
+ delete gSigLog;
+ break;
+ } //kLogFit
+ //----------------------------
+
+ //----------------------------
+ }//switch fitting algorithms
+
+ return;
+}
- if(plateauWidth > 0) {
- for(int j = 0; j < plateauWidth; j++) {
- //Note, have to remove the same point N times because after each
- //remove, the positions of all subsequent points have shifted down
- gSig->RemovePoint(plateauStart);
+//__________________________________________________________________
+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 ;
}
}
-
- if ( max - ped > fNoiseThreshold ) { // else its noise
- AliDebug(2,Form("Fitting max %d ped %d", max, ped));
- signalF->SetRange(0,maxFit);
-
- if(max-ped > 50)
- signalF->SetParLimits(2,1,3);
-
- signalF->SetParameter(4, ped) ;
- signalF->SetParameter(1, iMax);
- signalF->SetParameter(0, max);
-
- gSig->Fit(signalF, "QROW"); // Note option 'W': equal errors on all points
- amp = signalF->GetParameter(0);
- time = signalF->GetParameter(1)*GetRawFormatTimeBinWidth() - fgTimeTrigger;
+ // 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
+ }
}
+
+ 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;
}
+
//__________________________________________________________________
Double_t AliEMCALRawUtils::RawResponseFunction(Double_t *x, Double_t *par)
{
// Shape of the electronics raw reponse:
// It is a semi-gaussian, 2nd order Gamma function of the general form
//
- // t' = (t - t0 + tau) / tau
- // F = A * t**N * exp( N * ( 1 - t) ) for t >= 0
- // F = 0 for t < 0
+ // xx = (t - t0 + tau) / tau [xx is just a convenient help variable]
+ // F = A * (xx**N * exp( N * ( 1 - xx) ) for xx >= 0
+ // F = 0 for xx < 0
//
// parameters:
// A: par[0] // Amplitude = peak value
}
//__________________________________________________________________
-Bool_t AliEMCALRawUtils::RawSampledResponse(
-const Double_t dtime, const Double_t damp, Int_t * adcH, Int_t * adcL) const
+Double_t AliEMCALRawUtils::RawResponseFunctionLog(Double_t *x, Double_t *par)
+{
+ // Matches version used in 2007 beam test
+ //
+ // Shape of the electronics raw reponse:
+ // It is a semi-gaussian, 2nd order Gamma function of the general form
+ //
+ // xx = (t - t0 + tau) / tau [xx is just a convenient help variable]
+ // F = A * (xx**N * exp( N * ( 1 - xx) ) for xx >= 0
+ // F = 0 for xx < 0
+ //
+ // parameters:
+ // Log[A]: par[0] // Amplitude = peak value
+ // t0: par[1]
+ // tau: par[2]
+ // N: par[3]
+ // ped: par[4]
+ //
+ Double_t signal ;
+ Double_t tau =par[2];
+ Double_t n =par[3];
+ //Double_t ped = par[4]; // not used
+ Double_t xx = ( x[0] - par[1] + tau ) / tau ;
+
+ if (xx < 0)
+ signal = par[0] - n*TMath::Log(TMath::Abs(xx)) + n * (1 - xx ) ;
+ else {
+ signal = par[0] + n*TMath::Log(xx) + n * (1 - xx ) ;
+ }
+ return signal ;
+}
+
+//__________________________________________________________________
+Bool_t AliEMCALRawUtils::RawSampledResponse(const Double_t dtime, const Double_t damp, Int_t * adcH, Int_t * adcL, const Int_t keyErr) const
{
// for a start time dtime and an amplitude damp given by digit,
// calculates the raw sampled response AliEMCAL::RawResponseFunction
signalF.SetParameter(2, fTau) ;
signalF.SetParameter(3, fOrder);
signalF.SetParameter(4, fgPedestalValue);
-
+
+ Double_t signal=0.0, noise=0.0;
for (Int_t iTime = 0; iTime < GetRawFormatTimeBins(); iTime++) {
- Double_t signal = signalF.Eval(iTime) ;
+ signal = signalF.Eval(iTime) ;
+
+ // Next lines commeted for the moment but in principle it is not necessary to add
+ // extra noise since noise already added at the digits level.
//According to Terry Awes, 13-Apr-2008
//add gaussian noise in quadrature to each sample
// March 17,09 for fast fit simulations by Alexei Pavlinov.
// Get from PHOS analysis. In some sense it is open questions.
- Double_t noise = gRandom->Gaus(0.,fgFEENoise);
- signal += noise;
-
+ if(keyErr>0) {
+ noise = gRandom->Gaus(0.,fgFEENoise);
+ signal += noise;
+ }
+
adcH[iTime] = static_cast<Int_t>(signal + 0.5) ;
if ( adcH[iTime] > fgkRawSignalOverflow ){ // larger than 10 bits
adcH[iTime] = fgkRawSignalOverflow ;
}
return lowGain ;
}
+
+//__________________________________________________________________
+void AliEMCALRawUtils::SetFittingAlgorithm(Int_t fitAlgo)
+{
+ //Set fitting algorithm and initialize it if this same algorithm was not set before.
+
+ if(fitAlgo == fFittingAlgorithm && fRawAnalyzer) {
+ //Do nothing, this same algorithm already set before.
+ //printf("**** Algorithm already set before, number %d, %s ****\n",fitAlgo, fRawAnalyzer->GetName());
+ return;
+ }
+ //Initialize the requested algorithm
+ if(fitAlgo != fFittingAlgorithm || !fRawAnalyzer) {
+ //printf("**** Init Algorithm , number %d ****\n",fitAlgo);
+
+ fFittingAlgorithm = fitAlgo;
+ if (fRawAnalyzer) delete fRawAnalyzer; // delete prev. analyzer if existed.
+
+ if (fitAlgo == kFastFit) {
+ fRawAnalyzer = new AliCaloRawAnalyzerFastFit();
+ }
+ else if (fitAlgo == kNeuralNet) {
+ fRawAnalyzer = new AliCaloRawAnalyzerNN();
+ }
+ else if (fitAlgo == kLMS) {
+ fRawAnalyzer = new AliCaloRawAnalyzerLMS();
+ }
+ else if (fitAlgo == kPeakFinder) {
+ fRawAnalyzer = new AliCaloRawAnalyzerPeakFinder();
+ }
+ else if (fitAlgo == kCrude) {
+ fRawAnalyzer = new AliCaloRawAnalyzerCrude();
+ }
+ else {
+ fRawAnalyzer = new AliCaloRawAnalyzer();
+ }
+ }
+
+}
+
+