+// -*- mode: c++ -*-
/**************************************************************************
* Copyright(c) 1998-1999, ALICE Experiment at CERN, All rights reserved. *
* *
/* $Id$ */
+
//_________________________________________________________________________
// Utility Class for handling Raw data
// Does all transitions from Digits to Raw and vice versa,
//*-- Author: Marco van Leeuwen (LBL)
#include "AliEMCALRawUtils.h"
+#include <stdexcept>
#include "TF1.h"
#include "TGraph.h"
+#include <TRandom.h>
class TSystem;
class AliLog;
#include "AliEMCALGeometry.h"
class AliEMCALDigitizer;
#include "AliEMCALDigit.h"
+#include "AliEMCALRawDigit.h"
#include "AliEMCAL.h"
#include "AliCaloCalibPedestal.h"
#include "AliCaloFastAltroFitv0.h"
#include "AliCaloRawAnalyzerLMS.h"
#include "AliCaloRawAnalyzerPeakFinder.h"
#include "AliCaloRawAnalyzerCrude.h"
+#include "AliEMCALTriggerRawDigitMaker.h"
+#include "AliEMCALTriggerSTURawStream.h"
+#include "AliEMCALTriggerData.h"
ClassImp(AliEMCALRawUtils)
// Signal shape parameters
-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::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 = 600E-9 ; // the time of the trigger as approximately seen in the data
// some digitization constants
-Int_t AliEMCALRawUtils::fgThreshold = 1;
+Int_t AliEMCALRawUtils::fgThreshold = 1;
Int_t AliEMCALRawUtils::fgDDLPerSuperModule = 2; // 2 ddls per SuperModule
-Int_t AliEMCALRawUtils::fgPedestalValue = 32; // pedestal value for digits2raw
-Double_t AliEMCALRawUtils::fgFEENoise = 3.; // 3 ADC channels of noise (sampled)
+Int_t AliEMCALRawUtils::fgPedestalValue = 0; // pedestal value for digits2raw, default generate ZS data
+Double_t AliEMCALRawUtils::fgFEENoise = 3.; // 3 ADC channels of noise (sampled)
-AliEMCALRawUtils::AliEMCALRawUtils(fitAlgorithm fitAlgo)
+AliEMCALRawUtils::AliEMCALRawUtils( Algo::fitAlgorithm fitAlgo)
: fHighLowGainFactor(0.), fOrder(0), fTau(0.), fNoiseThreshold(0),
fNPedSamples(0), fGeom(0), fOption(""),
- fRemoveBadChannels(kTRUE),fFittingAlgorithm(0),fRawAnalyzer(0)
+ fRemoveBadChannels(kTRUE),fFittingAlgorithm(0),
+ fTimeMin(-1.),fTimeMax(1.),
+ fUseFALTRO(kFALSE),fRawAnalyzer(0),
+ fTriggerRawDigitMaker(0x0)
{
//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; // 3 ADC counts is approx. noise level
- fNPedSamples = 4; // less than this value => likely pedestal samples
- fRemoveBadChannels = kTRUE; //Remove bad channels before fitting
- fFittingAlgorithm = fitAlgo;
-
- 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();
- }
+ 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; // 3 ADC counts is approx. noise level
+ fNPedSamples = 4; // Less than this value => likely pedestal samples
+ fRemoveBadChannels = kFALSE; // Do not remove bad channels before fitting
+ fUseFALTRO = kTRUE; // Get the trigger FALTRO information and pass it to digits.
+ SetFittingAlgorithm(fitAlgo);
//Get Mapping RCU files from the AliEMCALRecParam
const TObjArray* maps = AliEMCALRecParam::GetMappings();
//To make sure we match with the geometry in a simulation file,
//let's try to get it first. If not, take the default geometry
AliRunLoader *rl = AliRunLoader::Instance();
- if(!rl) AliError("Cannot find RunLoader!");
- if (rl->GetAliRun() && rl->GetAliRun()->GetDetector("EMCAL")) {
- fGeom = dynamic_cast<AliEMCAL*>(rl->GetAliRun()->GetDetector("EMCAL"))->GetGeometry();
+ if (rl && rl->GetAliRun()) {
+ AliEMCAL * emcal = dynamic_cast<AliEMCAL*>(rl->GetAliRun()->GetDetector("EMCAL"));
+ if(emcal)fGeom = emcal->GetGeometry();
+ else {
+ AliDebug(1, Form("Using default geometry in raw reco"));
+ fGeom = AliEMCALGeometry::GetInstance(AliEMCALGeometry::GetDefaultGeometryName());
+ }
+
} else {
- AliInfo(Form("Using default geometry in raw reco"));
+ AliDebug(1, Form("Using default geometry in raw reco"));
fGeom = AliEMCALGeometry::GetInstance(AliEMCALGeometry::GetDefaultGeometryName());
}
if(!fGeom) AliFatal(Form("Could not get geometry!"));
+
+ fTriggerRawDigitMaker = new AliEMCALTriggerRawDigitMaker();
}
//____________________________________________________________________________
-AliEMCALRawUtils::AliEMCALRawUtils(AliEMCALGeometry *pGeometry, fitAlgorithm fitAlgo)
+AliEMCALRawUtils::AliEMCALRawUtils(AliEMCALGeometry *pGeometry, Algo::fitAlgorithm fitAlgo)
: fHighLowGainFactor(0.), fOrder(0), fTau(0.), fNoiseThreshold(0),
fNPedSamples(0), fGeom(pGeometry), fOption(""),
- fRemoveBadChannels(kTRUE),fFittingAlgorithm(0),fRawAnalyzer()
+ fRemoveBadChannels(kTRUE),fFittingAlgorithm(0),
+ fTimeMin(-1.),fTimeMax(1.),
+ fUseFALTRO(kFALSE),fRawAnalyzer(),
+ fTriggerRawDigitMaker(0x0)
{
//
// 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; // 3 ADC counts is approx. noise level
- fNPedSamples = 4; // less than this value => likely pedestal samples
- fRemoveBadChannels = kTRUE; //Remove bad channels before fitting
- fFittingAlgorithm = fitAlgo;
-
- 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();
- }
+ 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; // 3 ADC counts is approx. noise level
+ fNPedSamples = 4; // Less than this value => likely pedestal samples
+ fRemoveBadChannels = kFALSE; // Do not remove bad channels before fitting
+ fUseFALTRO = kTRUE; // Get the trigger FALTRO information and pass it to digits.
+ SetFittingAlgorithm(fitAlgo);
//Get Mapping RCU files from the AliEMCALRecParam
const TObjArray* maps = AliEMCALRecParam::GetMappings();
}
if(!fGeom) AliFatal(Form("Could not get geometry!"));
-
+
+ fTriggerRawDigitMaker = new AliEMCALTriggerRawDigitMaker();
}
//____________________________________________________________________________
fOption(rawU.fOption),
fRemoveBadChannels(rawU.fRemoveBadChannels),
fFittingAlgorithm(rawU.fFittingAlgorithm),
- fRawAnalyzer(rawU.fRawAnalyzer)
+ fTimeMin(rawU.fTimeMin),fTimeMax(rawU.fTimeMax),
+ fUseFALTRO(rawU.fUseFALTRO),
+ fRawAnalyzer(rawU.fRawAnalyzer),
+ fTriggerRawDigitMaker(rawU.fTriggerRawDigitMaker)
{
//copy ctor
fMapping[0] = rawU.fMapping[0];
if(this != &rawU) {
fHighLowGainFactor = rawU.fHighLowGainFactor;
- fOrder = rawU.fOrder;
- fTau = rawU.fTau;
- fNoiseThreshold = rawU.fNoiseThreshold;
- fNPedSamples = rawU.fNPedSamples;
- fGeom = rawU.fGeom;
- fOption = rawU.fOption;
+ fOrder = rawU.fOrder;
+ fTau = rawU.fTau;
+ fNoiseThreshold = rawU.fNoiseThreshold;
+ 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];
- fMapping[3] = rawU.fMapping[3];
+ fTimeMin = rawU.fTimeMin;
+ fTimeMax = rawU.fTimeMax;
+ fUseFALTRO = rawU.fUseFALTRO;
+ fRawAnalyzer = rawU.fRawAnalyzer;
+ fMapping[0] = rawU.fMapping[0];
+ fMapping[1] = rawU.fMapping[1];
+ fMapping[2] = rawU.fMapping[2];
+ fMapping[3] = rawU.fMapping[3];
+ fTriggerRawDigitMaker = rawU.fTriggerRawDigitMaker;
}
return *this;
AliRunLoader *rl = AliRunLoader::Instance();
AliEMCALLoader *loader = dynamic_cast<AliEMCALLoader*>(rl->GetDetectorLoader("EMCAL"));
-
+
// get the digits
loader->LoadDigits("EMCAL");
loader->GetEvent();
Warning("Digits2Raw", "no digits found !");
return;
}
-
+
static const Int_t nDDL = 12*2; // 12 SM hardcoded for now. Buffers allocated dynamically, when needed, so just need an upper limit here
AliAltroBuffer* buffers[nDDL];
for (Int_t i=0; i < nDDL; i++)
buffers[i] = 0;
-
+
TArrayI adcValuesLow(fgTimeBins);
TArrayI adcValuesHigh(fgTimeBins);
-
+
// loop over digits (assume ordered digits)
for (Int_t iDigit = 0; iDigit < digits->GetEntries(); iDigit++) {
AliEMCALDigit* digit = dynamic_cast<AliEMCALDigit *>(digits->At(iDigit)) ;
- if (digit->GetAmp() < fgThreshold)
- continue;
-
- //get cell indices
- Int_t nSM = 0;
- Int_t nIphi = 0;
- Int_t nIeta = 0;
- Int_t iphi = 0;
- Int_t ieta = 0;
- Int_t nModule = 0;
- fGeom->GetCellIndex(digit->GetId(), nSM, nModule, nIphi, nIeta);
- fGeom->GetCellPhiEtaIndexInSModule(nSM, nModule, nIphi, nIeta,iphi, ieta) ;
-
- //Check which is the RCU, 0 or 1, of the cell.
- Int_t iRCU = -111;
- //RCU0
- if (0<=iphi&&iphi<8) iRCU=0; // first cable row
- else if (8<=iphi&&iphi<16 && 0<=ieta&&ieta<24) iRCU=0; // first half;
- //second cable row
- //RCU1
- else if(8<=iphi&&iphi<16 && 24<=ieta&&ieta<48) iRCU=1; // second half;
- //second cable row
- else if(16<=iphi&&iphi<24) iRCU=1; // third cable row
-
- if (nSM%2==1) iRCU = 1 - iRCU; // swap for odd=C side, to allow us to cable both sides the same
-
- if (iRCU<0)
- Fatal("Digits2Raw()","Non-existent RCU number: %d", iRCU);
-
- //Which DDL?
- Int_t iDDL = fgDDLPerSuperModule* nSM + iRCU;
- if (iDDL >= nDDL)
- Fatal("Digits2Raw()","Non-existent DDL board number: %d", iDDL);
-
- if (buffers[iDDL] == 0) {
- // open new file and write dummy header
- TString fileName = AliDAQ::DdlFileName("EMCAL",iDDL);
- //Select mapping file RCU0A, RCU0C, RCU1A, RCU1C
- Int_t iRCUside=iRCU+(nSM%2)*2;
- //iRCU=0 and even (0) SM -> RCU0A.data 0
- //iRCU=1 and even (0) SM -> RCU1A.data 1
- //iRCU=0 and odd (1) SM -> RCU0C.data 2
- //iRCU=1 and odd (1) SM -> RCU1C.data 3
- //cout<<" nSM "<<nSM<<"; iRCU "<<iRCU<<"; iRCUside "<<iRCUside<<endl;
- buffers[iDDL] = new AliAltroBuffer(fileName.Data(),fMapping[iRCUside]);
- buffers[iDDL]->WriteDataHeader(kTRUE, kFALSE); //Dummy;
+ if(!digit){
+ AliFatal("NULL Digit");
}
-
- // out of time range signal (?)
- if (digit->GetTimeR() > GetRawFormatTimeMax() ) {
- AliInfo("Signal is out of time range.\n");
- buffers[iDDL]->FillBuffer((Int_t)digit->GetAmp());
- buffers[iDDL]->FillBuffer(GetRawFormatTimeBins() ); // time bin
- buffers[iDDL]->FillBuffer(3); // bunch length
- buffers[iDDL]->WriteTrailer(3, ieta, iphi, nSM); // trailer
- // calculate the time response function
- } else {
- Bool_t lowgain = RawSampledResponse(digit->GetTimeR(), digit->GetAmp(), adcValuesHigh.GetArray(), adcValuesLow.GetArray()) ;
- if (lowgain)
- buffers[iDDL]->WriteChannel(ieta, iphi, 0, GetRawFormatTimeBins(), adcValuesLow.GetArray(), fgThreshold);
- else
- buffers[iDDL]->WriteChannel(ieta,iphi, 1, GetRawFormatTimeBins(), adcValuesHigh.GetArray(), fgThreshold);
- }
- }
+ else{
+ if (digit->GetAmplitude() < fgThreshold)
+ continue;
+
+ //get cell indices
+ Int_t nSM = 0;
+ Int_t nIphi = 0;
+ Int_t nIeta = 0;
+ Int_t iphi = 0;
+ Int_t ieta = 0;
+ Int_t nModule = 0;
+ fGeom->GetCellIndex(digit->GetId(), nSM, nModule, nIphi, nIeta);
+ fGeom->GetCellPhiEtaIndexInSModule(nSM, nModule, nIphi, nIeta,iphi, ieta) ;
+
+ //Check which is the RCU, 0 or 1, of the cell.
+ Int_t iRCU = -111;
+ //RCU0
+ if (0<=iphi&&iphi<8) iRCU=0; // first cable row
+ else if (8<=iphi&&iphi<16 && 0<=ieta&&ieta<24) iRCU=0; // first half;
+ //second cable row
+ //RCU1
+ else if(8<=iphi&&iphi<16 && 24<=ieta&&ieta<48) iRCU=1; // second half;
+ //second cable row
+ else if(16<=iphi&&iphi<24) iRCU=1; // third cable row
+
+ if (nSM%2==1) iRCU = 1 - iRCU; // swap for odd=C side, to allow us to cable both sides the same
+
+ if (iRCU<0)
+ Fatal("Digits2Raw()","Non-existent RCU number: %d", iRCU);
+
+ //Which DDL?
+ Int_t iDDL = fgDDLPerSuperModule* nSM + iRCU;
+ if (iDDL < 0 || iDDL >= nDDL){
+ Fatal("Digits2Raw()","Non-existent DDL board number: %d", iDDL);
+ }
+ else{
+ if (buffers[iDDL] == 0) {
+ // open new file and write dummy header
+ TString fileName = AliDAQ::DdlFileName("EMCAL",iDDL);
+ //Select mapping file RCU0A, RCU0C, RCU1A, RCU1C
+ Int_t iRCUside=iRCU+(nSM%2)*2;
+ //iRCU=0 and even (0) SM -> RCU0A.data 0
+ //iRCU=1 and even (0) SM -> RCU1A.data 1
+ //iRCU=0 and odd (1) SM -> RCU0C.data 2
+ //iRCU=1 and odd (1) SM -> RCU1C.data 3
+ //cout<<" nSM "<<nSM<<"; iRCU "<<iRCU<<"; iRCUside "<<iRCUside<<endl;
+ buffers[iDDL] = new AliAltroBuffer(fileName.Data(),fMapping[iRCUside]);
+ buffers[iDDL]->WriteDataHeader(kTRUE, kFALSE); //Dummy;
+ }
+
+ // out of time range signal (?)
+ if (digit->GetTimeR() > GetRawFormatTimeMax() ) {
+ AliInfo("Signal is out of time range.\n");
+ buffers[iDDL]->FillBuffer((Int_t)digit->GetAmplitude());
+ buffers[iDDL]->FillBuffer(GetRawFormatTimeBins() ); // time bin
+ buffers[iDDL]->FillBuffer(3); // bunch length
+ buffers[iDDL]->WriteTrailer(3, ieta, iphi, nSM); // trailer
+ // calculate the time response function
+ } else {
+ Bool_t lowgain = RawSampledResponse(digit->GetTimeR(), digit->GetAmplitude(), adcValuesHigh.GetArray(), adcValuesLow.GetArray()) ;
+ if (lowgain)
+ buffers[iDDL]->WriteChannel(ieta, iphi, 0, GetRawFormatTimeBins(), adcValuesLow.GetArray(), fgThreshold);
+ else
+ buffers[iDDL]->WriteChannel(ieta,iphi, 1, GetRawFormatTimeBins(), adcValuesHigh.GetArray(), fgThreshold);
+ }
+ }// iDDL under the limits
+ }//digit exists
+ }//Digit loop
// write headers and close files
for (Int_t i=0; i < nDDL; i++) {
delete buffers[i];
}
}
-
+
loader->UnloadDigits();
}
//____________________________________________________________________________
-void AliEMCALRawUtils::Raw2Digits(AliRawReader* reader,TClonesArray *digitsArr, const AliCaloCalibPedestal* pedbadmap)
+void AliEMCALRawUtils::Raw2Digits(AliRawReader* reader,TClonesArray *digitsArr, const AliCaloCalibPedestal* pedbadmap, TClonesArray *digitsTRG, AliEMCALTriggerData* trgData)
{
// convert raw data of the current event to digits
-
- digitsArr->Clear();
-
+
+ if(digitsArr) digitsArr->Clear("C");
+
if (!digitsArr) {
Error("Raw2Digits", "no digits found !");
return;
Error("Raw2Digits", "no raw reader found !");
return;
}
-
- AliCaloRawStreamV3 in(reader,"EMCAL",fMapping);
+
+ AliEMCALTriggerSTURawStream inSTU(reader);
+
+ AliCaloRawStreamV3 in(reader,"EMCAL",fMapping);
+
// Select EMCAL DDL's;
reader->Select("EMCAL",0,43); // 43 = AliEMCALGeoParams::fgkLastAltroDDL
-
+
+ fTriggerRawDigitMaker->Reset();
+ fTriggerRawDigitMaker->SetIO(reader, in, inSTU, digitsTRG, trgData);
+
// fRawAnalyzer setup
+ fRawAnalyzer->SetNsampleCut(5); // requirement for fits to be done, for the new methods
+ fRawAnalyzer->SetOverflowCut(fgkOverflowCut);
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 lowGain = 0;
Int_t caloFlag = 0; // low, high gain, or TRU, or LED ref.
-
+
// start loop over input stream
while (in.NextDDL()) {
+
+ // if ( in.GetDDLNumber() != 0 && in.GetDDLNumber() != 2 ) continue;
+
while (in.NextChannel()) {
-
+
//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;
+ // if (caloFlag != 0 && caloFlag != 1) continue;
+ if (caloFlag > 2) continue; // Work with ALTRO and FALTRO
+
+ //Do not fit bad channels of ALTRO
+ if(caloFlag < 2 && 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() ) );
+ bunchlist.push_back( AliCaloBunchInfo(in.GetStartTimeBin(), in.GetBunchLength(), in.GetSignals() ) );
} // loop over bunches
-
- Float_t time = 0;
- Float_t amp = 0;
-
- 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 (bunchlist.size() == 0) continue;
+ if ( caloFlag < 2 )
+ { // ALTRO
+ Float_t time = 0;
+ Float_t amp = 0;
+ short timeEstimate = 0;
+ Float_t ampEstimate = 0;
+ Bool_t fitDone = kFALSE;
+ Float_t chi2 = 0;
+ Int_t ndf = 0;
- 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();
-
- // go from time-bin units to physical time fgtimetrigger
- time = time * GetRawFormatTimeBinWidth(); // skip subtraction of fgTimeTrigger?
-
- 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
+ if ( fFittingAlgorithm == Algo::kFastFit || fFittingAlgorithm == Algo::kNeuralNet ||
+ fFittingAlgorithm == Algo::kLMS || fFittingAlgorithm == Algo::kPeakFinder ||
+ fFittingAlgorithm == Algo::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.GetTime();
+ timeEstimate = fitResults.GetMaxTimebin();
+ ampEstimate = fitResults.GetMaxSig();
+ chi2 = fitResults.GetChi2();
+ ndf = fitResults.GetNdf();
+ if (fitResults.GetStatus() == Ret::kFitPar) {
+ fitDone = kTRUE;
+ }
+ }
+ 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 pedEstimate = 0;
+ short maxADC = 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; // maxrev in AliCaloRawAnalyzer speak; comes with an offset w.r.t. real timebin
+ Int_t timebinOffset = bunchlist.at(bunchIndex).GetStartBin() - (bunchlist.at(bunchIndex).GetLength()-1);
+ amp = ampEstimate;
+
+ if ( nsamples > 1 && maxADC<fgkOverflowCut ) { // possibly something to fit
+ FitRaw(first, last, amp, time, chi2, fitDone);
+ time += timebinOffset;
+ timeEstimate += timebinOffset;
+ ndf = nsamples - 2;
+ }
+
+ } // ampEstimate check
+ } // method selection
+
+ if ( fitDone ) { // brief sanity check of fit results
+ Float_t ampAsymm = (amp - ampEstimate)/(amp + ampEstimate);
+ Float_t timeDiff = time - timeEstimate;
+ if ( (TMath::Abs(ampAsymm) > 0.1) || (TMath::Abs(timeDiff) > 2) ) {
+ // AliDebug(2,Form("Fit results amp %f time %f not consistent with expectations amp %f time %d", amp, time, ampEstimate, timeEstimate));
+
+ // for now just overwrite the fit results with the simple/initial estimate
+ amp = ampEstimate;
+ time = timeEstimate;
+ fitDone = kFALSE;
+ }
+ } // fitDone
+
+ if (amp >= fNoiseThreshold) { // something to be stored
+ if ( ! fitDone) { // smear ADC with +- 0.5 uniform (avoid discrete effects)
+ amp += (0.5 - gRandom->Rndm()); // Rndm generates a number in ]0,1]
+ }
+
+ Int_t id = fGeom->GetAbsCellIdFromCellIndexes(in.GetModule(), in.GetRow(), in.GetColumn()) ;
+ lowGain = in.IsLowGain();
+
+ // go from time-bin units to physical time fgtimetrigger
+ time = time * GetRawFormatTimeBinWidth(); // skip subtraction of fgTimeTrigger?
+ // subtract RCU L1 phase (L1Phase is in seconds) w.r.t. L0:
+ time -= in.GetL1Phase();
+
+ 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);
+
+ AddDigit(digitsArr, id, lowGain, amp, time, chi2, ndf);
+ }
+
+ }//ALTRO
+ else if(fUseFALTRO)
+ {// Fake ALTRO
+ fTriggerRawDigitMaker->Add( bunchlist );
+ }//Fake ALTRO
+ } // end while over channel
} //end while over DDL's, of input stream
-
+
+ fTriggerRawDigitMaker->PostProcess();
+
+ TrimDigits(digitsArr);
+
return ;
}
//____________________________________________________________________________
-void AliEMCALRawUtils::AddDigit(TClonesArray *digitsArr, Int_t id, Int_t lowGain, Int_t amp, Float_t time) {
+void AliEMCALRawUtils::AddDigit(TClonesArray *digitsArr, Int_t id, Int_t lowGain, Float_t amp, Float_t time, Float_t chi2, Int_t ndf) {
//
// Add a new digit.
// This routine checks whether a digit exists already for this tower
AliEMCALDigit *digit = 0, *tmpdigit = 0;
TIter nextdigit(digitsArr);
while (digit == 0 && (tmpdigit = (AliEMCALDigit*) nextdigit())) {
- if (tmpdigit->GetId() == id)
- digit = tmpdigit;
+ if (tmpdigit->GetId() == id) digit = tmpdigit;
}
if (!digit) { // no digit existed for this tower; create one
- if (lowGain && amp > fgkOverflowCut)
- amp = Int_t(fHighLowGainFactor * amp);
- Int_t idigit = digitsArr->GetEntries();
- new((*digitsArr)[idigit]) AliEMCALDigit( -1, -1, id, amp, time, idigit) ;
- }
+ Int_t type = AliEMCALDigit::kHG; // use enum in AliEMCALDigit
+ if (lowGain) {
+ amp *= fHighLowGainFactor;
+ type = AliEMCALDigit::kLGnoHG;
+ }
+ Int_t idigit = digitsArr->GetEntries();
+ new((*digitsArr)[idigit]) AliEMCALDigit( -1, -1, id, amp, time, type, idigit, chi2, ndf);
+ AliDebug(2,Form("Add digit Id %d for the first time, type %d", id, type));
+ }//digit added first time
else { // a digit already exists, check range
- // (use high gain if signal < cut value, otherwise low gain)
- if (lowGain) { // new digit is low gain
- if (digit->GetAmp() > fgkOverflowCut) { // use if stored digit is out of range
- digit->SetAmp(Int_t(fHighLowGainFactor * amp));
- digit->SetTime(time);
- }
+ // (use high gain if signal < cut value, otherwise low gain)
+ if (lowGain) { // new digit is low gain
+ if (digit->GetAmplitude() > fgkOverflowCut) { // use if previously stored (HG) digit is out of range
+ digit->SetAmplitude(fHighLowGainFactor * amp);
+ digit->SetTime(time);
+ digit->SetType(AliEMCALDigit::kLG);
+ AliDebug(2,Form("Add LG digit ID %d for the second time, type %d", digit->GetId(), digit->GetType()));
+ }
+ }//new low gain digit
+ else { // new digit is high gain
+ if (amp < fgkOverflowCut) { // new digit is high gain; use if not out of range
+ digit->SetAmplitude(amp);
+ digit->SetTime(time);
+ digit->SetType(AliEMCALDigit::kHG);
+ AliDebug(2,Form("Add HG digit ID %d for the second time, type %d", digit->GetId(), digit->GetType()));
+ }
+ else { // HG out of range, just change flag value to show that HG did exist
+ digit->SetType(AliEMCALDigit::kLG);
+ AliDebug(2,Form("Change LG digit to HG, ID %d, type %d", digit->GetId(), digit->GetType()));
+ }
+ }//new high gain digit
+ }//digit existed replace it
+
+}
+
+//____________________________________________________________________________
+void AliEMCALRawUtils::TrimDigits(TClonesArray *digitsArr)
+{
+ // Remove digits with only low gain and large time
+
+ AliEMCALDigit *digit = 0;
+ Int_t n = 0;
+ Int_t nDigits = digitsArr->GetEntriesFast();
+ TIter nextdigit(digitsArr);
+ while ((digit = (AliEMCALDigit*) nextdigit())) {
+
+ //Check if only LG existed, remove if so
+ if (digit->GetType() == AliEMCALDigit::kLGnoHG) {
+ AliDebug(1,Form("Remove digit with id %d, LGnoHG",digit->GetId()));
+ digitsArr->Remove(digit);
}
- else if (amp < fgkOverflowCut) { // new digit is high gain; use if not out of range
- digit->SetAmp(amp);
- digit->SetTime(time);
+ //Check if time is too large or too small, remove if so
+ else if(fTimeMin > digit->GetTime() || fTimeMax < digit->GetTime()) {
+ digitsArr->Remove(digit);
+ AliDebug(1,Form("Remove digit with id %d, Bad Time %e",digit->GetId(), digit->GetTime()));
}
- }
+ // Check if Chi2 is undefined
+ else if (0 > digit->GetChi2()) {
+ digitsArr->Remove(digit);
+ AliDebug(1,Form("Remove digit with id %d, Bad Chi2 %e",digit->GetId(), digit->GetChi2()));
+ }
+ //Good digit, just reassign the index of the digit in case there was a previous removal
+ else {
+ digit->SetIndexInList(n);
+ n++;
+ }
+ }//while
+
+ digitsArr->Compress();
+ AliDebug(1,Form("N Digits before trimming : %d; after array compression %d",nDigits,digitsArr->GetEntriesFast()));
+
}
-
+
//____________________________________________________________________________
-void AliEMCALRawUtils::FitRaw(const Int_t firstTimeBin, const Int_t lastTimeBin, Float_t & amp, Float_t & time) const
+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 kStandard:
+ 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(timebin, timebin, fRawAnalyzer->GetReversed(timebin));
+ 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(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);
-
+ // 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;
-
- // 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:
+ //----------------------------
+ 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) ) );
+ 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(4, 0); // pedestal should be subtracted when we get here
signalFLog->SetParameter(1, time);
if (amp>=1) {
- signalFLog->SetParameter(0, TMath::Log(amp));
+ 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;
}
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] ;
+ 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 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;
}
}
// N: par[3]
// ped: par[4]
//
- Double_t signal ;
- Double_t tau =par[2];
- Double_t n =par[3];
- Double_t ped = par[4];
- Double_t xx = ( x[0] - par[1] + tau ) / tau ;
+ Double_t signal = 0.;
+ Double_t tau = par[2];
+ Double_t n = par[3];
+ Double_t ped = par[4];
+ Double_t xx = ( x[0] - par[1] + tau ) / tau ;
if (xx <= 0)
signal = ped ;
// N: par[3]
// ped: par[4]
//
- Double_t signal ;
- Double_t tau =par[2];
- Double_t n =par[3];
+ Double_t signal = 0. ;
+ 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 ;
+ Double_t xx = ( x[0] - par[1] + tau ) / tau ;
if (xx < 0)
signal = par[0] - n*TMath::Log(TMath::Abs(xx)) + n * (1 - xx ) ;
}
//__________________________________________________________________
-Bool_t AliEMCALRawUtils::RawSampledResponse(
-const Double_t dtime, const Double_t damp, Int_t * adcH, Int_t * adcL) const
+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
-
Bool_t lowGain = kFALSE ;
-
+
// A: par[0] // Amplitude = peak value
// t0: par[1]
// tau: par[2]
// N: par[3]
// ped: par[4]
-
+
TF1 signalF("signal", RawResponseFunction, 0, GetRawFormatTimeBins(), 5);
signalF.SetParameter(0, damp) ;
signalF.SetParameter(1, (dtime + fgTimeTrigger)/fgTimeBinWidth) ;
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
//Double_t noise = gRandom->Gaus(0.,fgFEENoise);
//signal = sqrt(signal*signal + noise*noise);
-
+
// 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 ;
lowGain = kTRUE ;
}
-
+
signal /= fHighLowGainFactor;
-
+
adcL[iTime] = static_cast<Int_t>(signal + 0.5) ;
if ( adcL[iTime] > fgkRawSignalOverflow) // larger than 10 bits
adcL[iTime] = fgkRawSignalOverflow ;
+
}
+
return lowGain ;
}
+
+//__________________________________________________________________
+void AliEMCALRawUtils::CalculateChi2(const Double_t* t, const Double_t* y, const Int_t nPoints,
+const Double_t sig, const Double_t tau, const Double_t amp, const Double_t t0, Double_t &chi2)
+{
+ // Input:
+ // t[] - array of time bins
+ // y[] - array of amplitudes after pedestal subtractions;
+ // nPoints - number of points
+ // sig - error of amplitude measurement (one value for all channels)
+ // if sig<0 that mean sig=1.
+ // tau - filter time response (in timebin units)
+ // amp - amplitude at t0;
+ // t0 - time of max amplitude;
+ // Output:
+ // chi2 - chi2
+ // ndf = nPoints - 2 when tau fixed
+ // ndf = nPoints - 3 when tau free
+ static Double_t par[5]={0.0, 0.0, 0.0, 2.0, 0.0};
+
+ par[0] = amp;
+ par[1] = t0;
+ par[2] = tau;
+ // par[3]=n=2.; par[4]=ped=0.0
+
+ Double_t dy = 0.0, x = 0.0, f=0.0;
+ for(Int_t i=0; i<nPoints; i++){
+ x = t[i];
+ f = RawResponseFunction(&x, par);
+ dy = y[i] - f;
+ chi2 += dy*dy;
+ //printf(" AliEMCALRawUtils::CalculateChi2 : %i : y %f -> f %f : dy %f \n", i, y[i], f, dy);
+ }
+ if(sig>0.0) chi2 /= (sig*sig);
+}
+
+//__________________________________________________________________
+void AliEMCALRawUtils::SetFittingAlgorithm(Int_t fitAlgo)
+{
+ //Set fitting algorithm and initialize it if this same algorithm was not set before.
+ //printf("**** Set Algorithm , number %d ****\n",fitAlgo);
+
+ 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 == Algo::kFastFit) {
+ fRawAnalyzer = new AliCaloRawAnalyzerFastFit();
+ }
+ else if (fitAlgo == Algo::kNeuralNet) {
+ fRawAnalyzer = new AliCaloRawAnalyzerNN();
+ }
+ else if (fitAlgo == Algo::kLMS) {
+ fRawAnalyzer = new AliCaloRawAnalyzerLMS();
+ }
+ else if (fitAlgo == Algo::kPeakFinder) {
+ fRawAnalyzer = new AliCaloRawAnalyzerPeakFinder();
+ }
+ else if (fitAlgo == Algo::kCrude) {
+ fRawAnalyzer = new AliCaloRawAnalyzerCrude();
+ }
+ else {
+ // fRawAnalyzer = new AliCaloRawAnalyzer();
+ fRawAnalyzer = 0;
+ }
+ }
+
+}
+
+