**************************************************************************/
/* $Id$ */
-/* History of cvs commits:
- *
- * $Log$
- * Revision 1.10 2007/12/06 13:58:11 hristov
- * Additional pritection. Do not delete the mapping, it is owned by another class
- *
- * Revision 1.9 2007/12/06 02:19:51 jklay
- * incorporated fitting procedure from testbeam analysis into AliRoot
- *
- * Revision 1.8 2007/12/05 02:30:51 jklay
- * modification to read Altro mappings into AliEMCALRecParam and pass to AliEMCALRawUtils from AliEMCALReconstructor; add option to AliEMCALRawUtils to set old RCU format (for testbeam) or not
- *
- * Revision 1.7 2007/11/14 15:51:46 gustavo
- * Take out few unnecessary prints
- *
- * Revision 1.6 2007/11/01 01:23:51 mvl
- * Removed call to SetOldRCUFormat, which is only needed for testbeam data
- *
- * Revision 1.5 2007/11/01 01:20:33 mvl
- * Further improvement of peak finding; more robust fit
- *
- * Revision 1.4 2007/10/31 17:15:24 mvl
- * Fixed bug in raw data unpacking; Added pedestal to signal fit; Added logic to deal with high/low gain
- *
- * Revision 1.3 2007/09/27 08:36:46 mvl
- * More robust setting of fit range in FitRawSignal (P. Hristov)
- *
- * Revision 1.2 2007/09/03 20:55:35 jklay
- * EMCAL e-by-e reconstruction methods from Cvetan
- *
- * Revision 1.1 2007/03/17 19:56:38 mvl
- * Moved signal shape routines from AliEMCAL to separate class AliEMCALRawUtils to streamline raw data reconstruction code.
- * */
+//_________________________________________________________________________
+// Utility Class for handling Raw data
+// Does all transitions from Digits to Raw and vice versa,
+// for simu and reconstruction
+//
+// Note: the current version is still simplified. Only
+// one raw signal per digit is generated; either high-gain or low-gain
+// Need to add concurrent high and low-gain info in the future
+// No pedestal is added to the raw signal.
//*-- Author: Marco van Leeuwen (LBL)
-#include "AliEMCALRawUtils.h"
+#include "AliEMCALRawUtils.h"
+#include <stdexcept>
+
#include "TF1.h"
#include "TGraph.h"
-#include "TSystem.h"
-
-#include "AliLog.h"
+#include <TRandom.h>
+class TSystem;
+
+class AliLog;
#include "AliRun.h"
#include "AliRunLoader.h"
-#include "AliCaloAltroMapping.h"
+class AliCaloAltroMapping;
#include "AliAltroBuffer.h"
#include "AliRawReader.h"
-#include "AliCaloRawStream.h"
+#include "AliCaloRawStreamV3.h"
#include "AliDAQ.h"
-
+
#include "AliEMCALRecParam.h"
#include "AliEMCALLoader.h"
#include "AliEMCALGeometry.h"
-#include "AliEMCALDigitizer.h"
+class AliEMCALDigitizer;
#include "AliEMCALDigit.h"
+#include "AliEMCALRawDigit.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 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
// some digitization constants
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()
+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),fUseFALTRO(kFALSE),fRawAnalyzer(0)
{
//These are default parameters.
//Can be re-set from without with setter functions
- 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;
+ //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 = 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(!maps) AliFatal("Cannot retrieve ALTRO mappings!!");
- for(Int_t i = 0; i < 2; i++) {
+ for(Int_t i = 0; i < 4; i++) {
fMapping[i] = (AliAltroMapping*)maps->At(i);
}
//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::GetRunLoader();
- if (rl->GetAliRun() && rl->GetAliRun()->GetDetector("EMCAL")) {
+ AliRunLoader *rl = AliRunLoader::Instance();
+ if (rl && rl->GetAliRun() && rl->GetAliRun()->GetDetector("EMCAL")) {
fGeom = dynamic_cast<AliEMCAL*>(rl->GetAliRun()->GetDetector("EMCAL"))->GetGeometry();
} else {
AliInfo(Form("Using default geometry in raw reco"));
}
+//____________________________________________________________________________
+AliEMCALRawUtils::AliEMCALRawUtils(AliEMCALGeometry *pGeometry, fitAlgorithm fitAlgo)
+ : fHighLowGainFactor(0.), fOrder(0), fTau(0.), fNoiseThreshold(0),
+ fNPedSamples(0), fGeom(pGeometry), fOption(""),
+ fRemoveBadChannels(kTRUE),fFittingAlgorithm(0),fUseFALTRO(kFALSE),fRawAnalyzer()
+{
+ //
+ // Initialize with the given geometry - constructor required by HLT
+ // HLT does not use/support AliRunLoader(s) instances
+ // This is a minimum intervention solution
+ // Comment by MPloskon@lbl.gov
+ //
+
+ //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 = 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(!maps) AliFatal("Cannot retrieve ALTRO mappings!!");
+
+ for(Int_t i = 0; i < 4; i++) {
+ fMapping[i] = (AliAltroMapping*)maps->At(i);
+ }
+
+ if(!fGeom) AliFatal(Form("Could not get geometry!"));
+
+}
+
//____________________________________________________________________________
AliEMCALRawUtils::AliEMCALRawUtils(const AliEMCALRawUtils& rawU)
: TObject(),
fNoiseThreshold(rawU.fNoiseThreshold),
fNPedSamples(rawU.fNPedSamples),
fGeom(rawU.fGeom),
- fOption(rawU.fOption)
+ fOption(rawU.fOption),
+ fRemoveBadChannels(rawU.fRemoveBadChannels),
+ fFittingAlgorithm(rawU.fFittingAlgorithm),
+ fUseFALTRO(rawU.fUseFALTRO),
+ fRawAnalyzer(rawU.fRawAnalyzer)
{
//copy ctor
fMapping[0] = rawU.fMapping[0];
fMapping[1] = rawU.fMapping[1];
+ fMapping[2] = rawU.fMapping[2];
+ fMapping[3] = rawU.fMapping[3];
}
//____________________________________________________________________________
if(this != &rawU) {
fHighLowGainFactor = rawU.fHighLowGainFactor;
- fOrder = rawU.fOrder;
- fTau = rawU.fTau;
- fNoiseThreshold = rawU.fNoiseThreshold;
- fNPedSamples = rawU.fNPedSamples;
- fGeom = rawU.fGeom;
- fOption = rawU.fOption;
- fMapping[0] = rawU.fMapping[0];
- fMapping[1] = rawU.fMapping[1];
+ fOrder = rawU.fOrder;
+ fTau = rawU.fTau;
+ fNoiseThreshold = rawU.fNoiseThreshold;
+ fNPedSamples = rawU.fNPedSamples;
+ fGeom = rawU.fGeom;
+ fOption = rawU.fOption;
+ fRemoveBadChannels = rawU.fRemoveBadChannels;
+ fFittingAlgorithm = rawU.fFittingAlgorithm;
+ 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];
}
return *this;
//____________________________________________________________________________
AliEMCALRawUtils::~AliEMCALRawUtils() {
+ //dtor
}
{
// convert digits of the current event to raw data
- AliRunLoader *rl = AliRunLoader::GetRunLoader();
+ AliRunLoader *rl = AliRunLoader::Instance();
AliEMCALLoader *loader = dynamic_cast<AliEMCALLoader*>(rl->GetDetectorLoader("EMCAL"));
// get the digits
for (Int_t i=0; i < nDDL; i++)
buffers[i] = 0;
- Int_t adcValuesLow[fgkTimeBins];
- Int_t adcValuesHigh[fgkTimeBins];
+ TArrayI adcValuesLow(fgTimeBins);
+ TArrayI adcValuesHigh(fgTimeBins);
// loop over digits (assume ordered digits)
for (Int_t iDigit = 0; iDigit < digits->GetEntries(); iDigit++) {
fGeom->GetCellIndex(digit->GetId(), nSM, nModule, nIphi, nIeta);
fGeom->GetCellPhiEtaIndexInSModule(nSM, nModule, nIphi, nIeta,iphi, ieta) ;
- //Check which is the RCU of the cell.
+ //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 && 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);
if (buffers[iDDL] == 0) {
// open new file and write dummy header
TString fileName = AliDAQ::DdlFileName("EMCAL",iDDL);
- buffers[iDDL] = new AliAltroBuffer(fileName.Data(),fMapping[iRCU]);
+ //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;
}
buffers[iDDL]->WriteTrailer(3, ieta, iphi, nSM); // trailer
// calculate the time response function
} else {
- Bool_t lowgain = RawSampledResponse(digit->GetTimeR(), digit->GetAmp(), adcValuesHigh, adcValuesLow) ;
+ Bool_t lowgain = RawSampledResponse(digit->GetTimeR(), digit->GetAmp(), adcValuesHigh.GetArray(), adcValuesLow.GetArray()) ;
if (lowgain)
- buffers[iDDL]->WriteChannel(ieta, iphi, 0, GetRawFormatTimeBins(), adcValuesLow, fgThreshold);
+ buffers[iDDL]->WriteChannel(ieta, iphi, 0, GetRawFormatTimeBins(), adcValuesLow.GetArray(), fgThreshold);
else
- buffers[iDDL]->WriteChannel(ieta,iphi, 1, GetRawFormatTimeBins(), adcValuesHigh, fgThreshold);
+ buffers[iDDL]->WriteChannel(ieta,iphi, 1, GetRawFormatTimeBins(), adcValuesHigh.GetArray(), fgThreshold);
}
}
}
//____________________________________________________________________________
-void AliEMCALRawUtils::Raw2Digits(AliRawReader* reader,TClonesArray *digitsArr)
+void AliEMCALRawUtils::Raw2Digits(AliRawReader* reader,TClonesArray *digitsArr, const AliCaloCalibPedestal* pedbadmap, TClonesArray *digitsTRG)
{
// convert raw data of the current event to digits
return;
}
- AliCaloRawStream in(reader,"EMCAL",fMapping);
+ 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. ;
+ 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->SetNsampleCut(5); // requirement for fits to be done
+ fRawAnalyzer->SetAmpCut(fNoiseThreshold);
+ fRawAnalyzer->SetFitArrayCut(fNoiseThreshold);
+ fRawAnalyzer->SetIsZeroSuppressed(true); // TMP - should use stream->IsZeroSuppressed(), or altro cfg registers later
- Int_t readOk = 1;
+ // 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()) {
+
+// if ( in.GetDDLNumber() != 0 && in.GetDDLNumber() != 2 ) continue;
+
+ while (in.NextChannel()) {
+
+/*
+ Int_t hhwAdd = in.GetHWAddress();
+ UShort_t iiBranch = ( hhwAdd >> 11 ) & 0x1; // 0/1
+ UShort_t iiFEC = ( hhwAdd >> 7 ) & 0xF;
+ UShort_t iiChip = ( hhwAdd >> 4 ) & 0x7;
+ UShort_t iiChannel = hhwAdd & 0xF;
+
+ if ( !( iiBranch == 0 && iiFEC == 1 && iiChip == 3 && ( iiChannel >= 8 && iiChannel <= 15 ) ) && !( iiBranch == 1 && iiFEC == 0 && in.GetColumn() == 0 ) ) continue;
+*/
+
+ //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;
+ 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() ) );
+ } // loop over bunches
+
+
+ if ( caloFlag < 2 ){ // ALTRO
+
+ Float_t time = 0;
+ Float_t amp = 0;
+ short timeEstimate = 0;
+ Float_t ampEstimate = 0;
+ Bool_t fitDone = kFALSE;
+
+ 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.GetTime();
+ timeEstimate = fitResults.GetMaxTimebin();
+ ampEstimate = fitResults.GetMaxSig();
+ if (fitResults.GetStatus() == AliCaloFitResults::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 ) { // possibly something to fit
+ FitRaw(first, last, amp, time, fitDone);
+ time += timebinOffset;
+ timeEstimate += timebinOffset;
+ }
+
+ } // 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 && amp<fgkRawSignalOverflow) { // 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]
+ }
- while (readOk && in.GetModule() < 0)
- readOk = in.Next(); // Go to first digit
-
- Int_t col = 0;
- Int_t row = 0;
+ Int_t id = fGeom->GetAbsCellIdFromCellIndexes(in.GetModule(), in.GetRow(), in.GetColumn()) ;
+ lowGain = in.IsLowGain();
- while (readOk) {
- id = fGeom->GetAbsCellIdFromCellIndexes(in.GetModule(), in.GetRow(), in.GetColumn()) ;
- lowGain = in.IsLowGain();
- Int_t maxTime = in.GetTime(); // timebins come in reverse order
- if (maxTime < 0 || maxTime >= GetRawFormatTimeBins()) {
- AliWarning(Form("Invalid time bin %d",maxTime));
- maxTime = GetRawFormatTimeBins();
- }
- gSig->Set(maxTime+1);
- // There is some kind of zero-suppression in the raw data,
- // so set up the TGraph in advance
- for (Int_t i=0; i < maxTime; i++) {
- gSig->SetPoint(i, i , 0);
- }
+ // go from time-bin units to physical time fgtimetrigger
+ time = time * GetRawFormatTimeBinWidth(); // skip subtraction of fgTimeTrigger?
- Int_t iTime = 0;
- do {
- if (in.GetTime() >= gSig->GetN()) {
- AliWarning("Too many time bins");
- gSig->Set(in.GetTime());
+ 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);
}
- col = in.GetColumn();
- row = in.GetRow();
- gSig->SetPoint(in.GetTime(), in.GetTime(), in.GetSignal()) ;
+ }//ALTRO
+ else if(fUseFALTRO)
+ {// Fake ALTRO
+ // if (maxTimeBin && gSig->GetN() > maxTimeBin + 10) gSig->Set(maxTimeBin + 10); // set actual max size of TGraph
+ Int_t hwAdd = in.GetHWAddress();
+ UShort_t iRCU = in.GetDDLNumber() % 2; // 0/1
+ UShort_t iBranch = ( hwAdd >> 11 ) & 0x1; // 0/1
+
+ // Now find TRU number
+ Int_t itru = 3 * in.GetModule() + ( (iRCU << 1) | iBranch ) - 1;
+
+ AliDebug(1,Form("Found TRG digit in TRU: %2d ADC: %2d",itru,in.GetColumn()));
+
+ Int_t idtrg;
+
+ Bool_t isOK = fGeom->GetAbsFastORIndexFromTRU(itru, in.GetColumn(), idtrg);
+
+ Int_t timeSamples[256]; for (Int_t j=0;j<256;j++) timeSamples[j] = 0;
+ Int_t nSamples = 0;
+
+ for (std::vector<AliCaloBunchInfo>::iterator itVectorData = bunchlist.begin(); itVectorData != bunchlist.end(); itVectorData++)
+ {
+ AliCaloBunchInfo bunch = *(itVectorData);
+
+ const UShort_t* sig = bunch.GetData();
+ Int_t startBin = bunch.GetStartBin();
+
+ for (Int_t iS = 0; iS < bunch.GetLength(); iS++)
+ {
+ Int_t time = startBin--;
+ Int_t amp = sig[iS];
+
+ if ( amp ) timeSamples[nSamples++] = ( ( time << 12 ) & 0xFF000 ) | ( amp & 0xFFF );
+ }
+ }
+
+ if (nSamples && isOK) AddDigit(digitsTRG, idtrg, timeSamples, nSamples);
+ }//Fake ALTRO
+ } // end while over channel
+ } //end while over DDL's, of input stream
- if (in.GetTime() > maxTime)
- maxTime = in.GetTime();
- iTime++;
- } while ((readOk = in.Next()) && !in.IsNewHWAddress());
-
- FitRaw(gSig, signalF, amp, time) ;
-
- if (amp > 0 && amp < 10000) { //check both high and low end of
- //result, 10000 is somewhat arbitrary
- AliDebug(2,Form("id %d lowGain %d amp %g", id, lowGain, amp));
- //cout << "col " << col-40 << " row " << row-8 << " lowGain " << lowGain << " amp " << amp << endl;
+ return ;
+}
- AddDigit(digitsArr, id, lowGain, (Int_t)amp, time);
- }
+//____________________________________________________________________________
+void AliEMCALRawUtils::AddDigit(TClonesArray *digitsArr, Int_t id, Int_t timeSamples[], Int_t nSamples)
+{
+ new((*digitsArr)[digitsArr->GetEntriesFast()]) AliEMCALRawDigit(id, timeSamples, nSamples);
- // 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
-
- }; // EMCAL entries loop
-
- delete signalF ;
- delete gSig;
-
- return ;
+ // Int_t idx = digitsArr->GetEntriesFast()-1;
+ // AliEMCALRawDigit* d = (AliEMCALRawDigit*)digitsArr->At(idx);
}
//____________________________________________________________________________
// 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)
-{
- // Fits the raw signal time distribution; from AliEMCALGetter
-
- 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
- }
+void AliEMCALRawUtils::FitRaw(const Int_t firstTimeBin, const Int_t lastTimeBin, Float_t & amp, Float_t & time, 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:
+ {
+ 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));
+ }
- Int_t max_found = 0;
- Int_t i_max = 0;
- Float_t max = -1;
- Float_t max_fit = gSig->GetN();
- Float_t min_after_sig = 9999;
- Int_t tmin_after_sig = gSig->GetN();
- Int_t n_ped_after_sig = 0;
- Int_t plateau_width = 0;
- Int_t plateau_start = 9999;
-
- for (Int_t i=fNPedSamples; i < gSig->GetN(); i++) {
- Double_t ttime, signal;
- gSig->GetPoint(i, ttime, signal) ;
- if (!max_found && signal > max) {
- i_max = i;
- max = signal;
- }
- else if ( max > ped + fNoiseThreshold ) {
- max_found = 1;
- min_after_sig = signal;
- tmin_after_sig = i;
- }
- if (max_found) {
- if ( signal < min_after_sig) {
- min_after_sig = signal;
- tmin_after_sig = i;
+ 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);
+
+ // cross-check with ParabolaFit to see if the results make sense
+ FitParabola(gSig, amp); // amp is possibly updated
+ fitDone = kTRUE;
}
- if (i > tmin_after_sig + 5) { // Two close peaks; end fit at minimum
- max_fit = tmin_after_sig;
- break;
+ 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;
}
- if ( signal < ped + fNoiseThreshold)
- n_ped_after_sig++;
- if (n_ped_after_sig >= 5) { // include 5 pedestal bins after peak
- max_fit = i;
- break;
+ delete signalF;
+
+ //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) ) );
}
- }
- //Add check on plateau
- if (signal >= fgkRawSignalOverflow - fNoiseThreshold) {
- if(plateau_width == 0) plateau_start = i;
- plateau_width++;
- }
- }
- if(plateau_width > 0) {
- for(int j = 0; j < plateau_width-2; j++) {
- //Note, have to remove the same point N times because after each
- //remove, the positions of all subsequent points have shifted down
- //We leave the first and last as anchor points
- gSig->RemovePoint(plateau_start+1);
- }
- }
-
- if ( max - ped > fNoiseThreshold ) { // else its noise
- AliDebug(2,Form("Fitting max %d ped %d", max, ped));
- signalF->SetRange(0,max_fit);
+ 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
- if(max-ped > 50)
- signalF->SetParLimits(2,1,3);
+ return;
+}
- signalF->SetParameter(4, ped) ;
- signalF->SetParameter(1, i_max);
- 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;
+//__________________________________________________________________
+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;
}
+
//__________________________________________________________________
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
//
Double_t signal ;
Double_t tau =par[2];
- Double_t N =par[3];
+ Double_t n =par[3];
Double_t ped = par[4];
Double_t xx = ( x[0] - par[1] + tau ) / tau ;
if (xx <= 0)
signal = ped ;
else {
- signal = ped + par[0] * TMath::Power(xx , N) * TMath::Exp(N * (1 - xx )) ;
+ signal = ped + par[0] * TMath::Power(xx , n) * TMath::Exp(n * (1 - xx )) ;
}
return signal ;
}
//__________________________________________________________________
-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
// N: par[3]
// ped: par[4]
- TF1 signalF("signal", RawResponseFunction, 0, GetRawFormatTimeMax(), 5);
+ TF1 signalF("signal", RawResponseFunction, 0, GetRawFormatTimeBins(), 5);
signalF.SetParameter(0, damp) ;
- signalF.SetParameter(1, dtime + fgTimeTrigger) ;
+ 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 time = iTime * GetRawFormatTimeBinWidth() ;
- Double_t signal = signalF.Eval(time) ;
+ 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.
+ 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.
+ //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 == 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();
+ }
+ }
+
+}
+
+
git://git.uio.no / u / mrichter / AliRoot.git / blobdiff