#include "AliRawReader.h"
#include "AliCaloRawStreamV3.h"
#include "AliEMCALGeoParams.h"
+#include "AliRawEventHeaderBase.h"
+
+#include "AliCaloBunchInfo.h"
+#include "AliCaloFitResults.h"
+#include "AliCaloRawAnalyzerFastFit.h"
+#include "AliCaloRawAnalyzerNN.h"
+#include "AliCaloRawAnalyzerLMS.h"
+#include "AliCaloRawAnalyzerPeakFinder.h"
+#include "AliCaloRawAnalyzerCrude.h"
ClassImp(AliEMCALQADataMakerRec)
//____________________________________________________________________________
- AliEMCALQADataMakerRec::AliEMCALQADataMakerRec() :
- AliQADataMakerRec(AliQAv1::GetDetName(AliQAv1::kEMCAL), "EMCAL Quality Assurance Data Maker"),
- fSuperModules(4), // FIXME!!! number of SuperModules; 4 for 2009; update default to 12 for later runs..
- fFirstPedestalSample(0),
- fLastPedestalSample(15),
- fMinSignalHG(0),
- fMaxSignalHG(AliEMCALGeoParams::fgkSampleMax)
- {
+AliEMCALQADataMakerRec::AliEMCALQADataMakerRec(fitAlgorithm fitAlgo) :
+ AliQADataMakerRec(AliQAv1::GetDetName(AliQAv1::kEMCAL), "EMCAL Quality Assurance Data Maker"),
+ fFittingAlgorithm(0),
+ fRawAnalyzer(0),
+ fRawAnalyzerTRU(0),
+ fSuperModules(4), // FIXME!!! number of SuperModules; 4 for 2009; update default to 12 for later runs..
+ fFirstPedestalSample(0),
+ fLastPedestalSample(3),
+ fFirstPedestalSampleTRU(0),
+ fLastPedestalSampleTRU(3),
+ fMinSignalLG(0),
+ fMaxSignalLG(AliEMCALGeoParams::fgkSampleMax),
+ fMinSignalHG(0),
+ fMaxSignalHG(AliEMCALGeoParams::fgkSampleMax),
+ fMinSignalTRU(0),
+ fMaxSignalTRU(AliEMCALGeoParams::fgkSampleMax),
+ fMinSignalLGLEDMon(0),
+ fMaxSignalLGLEDMon(AliEMCALGeoParams::fgkSampleMax),
+ fMinSignalHGLEDMon(0),
+ fMaxSignalHGLEDMon(AliEMCALGeoParams::fgkSampleMax)
+{
// ctor
+ SetFittingAlgorithm(fitAlgo);
+ fRawAnalyzerTRU = new AliCaloRawAnalyzerLMS();
+ fRawAnalyzerTRU->SetFixTau(kTRUE);
+ fRawAnalyzerTRU->SetTau(2.5); // default for TRU shaper
}
//____________________________________________________________________________
AliEMCALQADataMakerRec::AliEMCALQADataMakerRec(const AliEMCALQADataMakerRec& qadm) :
AliQADataMakerRec(),
+ fFittingAlgorithm(0),
+ fRawAnalyzer(0),
+ fRawAnalyzerTRU(0),
fSuperModules(qadm.GetSuperModules()),
fFirstPedestalSample(qadm.GetFirstPedestalSample()),
fLastPedestalSample(qadm.GetLastPedestalSample()),
+ fFirstPedestalSampleTRU(qadm.GetFirstPedestalSampleTRU()),
+ fLastPedestalSampleTRU(qadm.GetLastPedestalSampleTRU()),
+ fMinSignalLG(qadm.GetMinSignalLG()),
+ fMaxSignalLG(qadm.GetMaxSignalLG()),
fMinSignalHG(qadm.GetMinSignalHG()),
- fMaxSignalHG(qadm.GetMaxSignalHG())
+ fMaxSignalHG(qadm.GetMaxSignalHG()),
+ fMinSignalTRU(qadm.GetMinSignalTRU()),
+ fMaxSignalTRU(qadm.GetMaxSignalTRU()),
+ fMinSignalLGLEDMon(qadm.GetMinSignalLGLEDMon()),
+ fMaxSignalLGLEDMon(qadm.GetMaxSignalLGLEDMon()),
+ fMinSignalHGLEDMon(qadm.GetMinSignalHGLEDMon()),
+ fMaxSignalHGLEDMon(qadm.GetMaxSignalHGLEDMon())
{
//copy ctor
SetName((const char*)qadm.GetName()) ;
SetTitle((const char*)qadm.GetTitle());
+ SetFittingAlgorithm(qadm.GetFittingAlgorithm());
+ fRawAnalyzerTRU = new AliCaloRawAnalyzerLMS();
+ fRawAnalyzerTRU->SetFixTau(kTRUE);
+ fRawAnalyzerTRU->SetTau(2.5); // default for TRU shaper
}
//__________________________________________________________________
TProfile * h9 = new TProfile("hHighEmcalRawPed", "High Gain EMC: Pedestal vs towerId;Tower Id;Pedestal [ADC counts]",
nTot, -0.5, nTot-0.5) ;
Add2RawsList(h9, kPedHG, expert, image, !saveCorr) ;
-
- // pedestal rms (standard dev = sqrt of variance estimator for pedestal) (bins are towers)
- TProfile * h10 = new TProfile("hLowEmcalRawPedRMS", "Low Gain EMC: Pedestal RMS vs towerId;Tower Id;Width [ADC counts]",
- nTot, -0.5, nTot-0.5) ;
- Add2RawsList(h10, kPedRMSLG, expert, image, !saveCorr) ;
- TProfile * h11 = new TProfile("hHighEmcalRawPedRMS", "High Gain EMC: Pedestal RMS vs towerId;Tower Id;Width [ADC counts]",
- nTot, -0.5, nTot-0.5) ;
- Add2RawsList(h11, kPedRMSHG, expert, image, !saveCorr) ;
//number of events per tower, for shifter fast check
TH1I * h12 = new TH1I("hTowerHG", "High Gains on the Tower;Tower", nTot,0, nTot) ;
nTot2x2, -0.5, nTot2x2-0.5) ;
Add2RawsList(hT4, kPedTRU, expert, image, !saveCorr) ;
- // pedestal rms (standard dev = sqrt of variance estimator for pedestal) (bins are TRU channels)
- TProfile * hT5 = new TProfile("hTRUEmcalRawPedRMS", "TRU EMC: Pedestal RMS vs 2x2Id;2x2 Id;Width [ADC counts]",
- nTot2x2, -0.5, nTot2x2-0.5) ;
- Add2RawsList(hT5, kPedRMSTRU, expert, image, !saveCorr) ;
-
// and also LED Mon..
// LEDMon has both high and low gain channels, just as regular FEE/towers
int nTotLEDMon = fSuperModules * AliEMCALGeoParams::fgkEMCALLEDRefs; // max number of LEDMon channels for all SuperModules
nTotLEDMon, -0.5, nTotLEDMon-0.5) ;
Add2RawsList(hL9, kPedHGLEDMon, expert, image, !saveCorr) ;
- // pedestal rms (standard dev = sqrt of variance estimator for pedestal) (bins are strips)
- TProfile * hL10 = new TProfile("hLowLEDMonEmcalRawPedRMS", "LowLEDMon Gain EMC: Pedestal RMS vs stripId;Strip Id;Width [ADC counts]",
- nTotLEDMon, -0.5, nTotLEDMon-0.5) ;
- Add2RawsList(hL10, kPedRMSLGLEDMon, expert, image, !saveCorr) ;
- TProfile * hL11 = new TProfile("hHighLEDMonEmcalRawPedRMS", "HighLEDMon Gain EMC: Pedestal RMS vs stripId;Strip Id;Width [ADC counts]",
- nTotLEDMon, -0.5, nTotLEDMon-0.5) ;
- Add2RawsList(hL11, kPedRMSHGLEDMon, expert, image, !saveCorr) ;
-
}
//____________________________________________________________________________
{
//Fill prepared histograms with Raw digit properties
- //Raw histogram filling not yet implemented
- //
- //Need to figure out how to get the info we want without having to
- //actually run Raw2Digits twice.
- //I suspect what we actually want is a raw digits method, not a true
- //emcal raw data method, but this doesn't seem to be allowed in
- //AliQADataMakerRec.h
-
- // For now, to avoid redoing the expensive signal fits we just
- // look at max vs min of the signal spextra, a la online usage in
- // AliCaloCalibPedestal
-
+ // setup
rawReader->Reset() ;
AliCaloRawStreamV3 in(rawReader,"EMCAL");
rawReader->Select("EMCAL", 0, AliEMCALGeoParams::fgkLastAltroDDL) ; //select EMCAL DDL's
- // setup
+ AliRecoParam::EventSpecie_t saveSpecie = fEventSpecie ;
+ if (rawReader->GetType() == AliRawEventHeaderBase::kCalibrationEvent) {
+ SetEventSpecie(AliRecoParam::kCalib) ;
+ }
+
+ fRawAnalyzer->SetIsZeroSuppressed(true); // TMP - should use stream->IsZeroSuppressed(), or altro cfg registers later
+
int nTowersPerSM = AliEMCALGeoParams::fgkEMCALRows * AliEMCALGeoParams::fgkEMCALCols; // number of towers in a SuperModule; 24x48
int nRows = AliEMCALGeoParams::fgkEMCALRows; // number of rows per SuperModule
int nStripsPerSM = AliEMCALGeoParams::fgkEMCALLEDRefs; // number of strips per SuperModule
int n2x2PerSM = AliEMCALGeoParams::fgkEMCALTRUsPerSM * AliEMCALGeoParams::fgkEMCAL2x2PerTRU; // number of TRU 2x2's per SuperModule
- int sampleMin = 0;
- int sampleMax = AliEMCALGeoParams::fgkSampleMax; // 0x3ff = 1023 = 10-bit range
-
- // for the pedestal calculation
- Bool_t selectPedestalSamples = kTRUE;
-
// SM counters; decl. should be safe, assuming we don't get more than expected SuperModules..
int nTotalSMLG[AliEMCALGeoParams::fgkEMCALModules] = {0};
int nTotalSMHG[AliEMCALGeoParams::fgkEMCALModules] = {0};
int nTotalSMLGLEDMon[AliEMCALGeoParams::fgkEMCALModules] = {0};
int nTotalSMHGLEDMon[AliEMCALGeoParams::fgkEMCALModules] = {0};
- // indices for the reading
+ // start loop over input stream
int iSM = 0;
- int sample = 0;
- int time = 0;
- // counters, on sample level
- int i = 0; // the sample number in current event.
- int maxTime = 0;
- int startBin = 0;
+ while (in.NextDDL()) {
+ iSM = in.GetModule(); // SuperModule
+ if (iSM>=0 && iSM<fSuperModules) { // valid module reading
- // calc. quantities
- double meanPed = 0, squaredMean = 0, rmsPed = 0;
+ int iRCU = in.GetDDLNumber() % 2; // RCU0 or RCU1, within SuperModule
- // start loop over input stream
- while (in.NextDDL()) {
- int iRCU = in.GetDDLNumber() % 2; // RCU0 or RCU1, within SuperModule
- while (in.NextChannel()) {
-
- // counters
- int max = sampleMin, min = sampleMax; // min and max sample values
- int nsamples = 0;
-
- // for the pedestal calculation
- int sampleSum = 0; // sum of samples
- int squaredSampleSum = 0; // sum of samples squared
- int nSum = 0; // number of samples in sum
-
- while (in.NextBunch()) {
- const UShort_t *sig = in.GetSignals();
- startBin = in.GetStartTimeBin();
- nsamples += in.GetBunchLength();
- for (i = 0; i < in.GetBunchLength(); i++) {
- sample = sig[i];
- time = startBin--;
-
- // check if it's a min or max value
- if (sample < min) min = sample;
- if (sample > max) {
- max = sample;
- maxTime = time;
- }
+ while (in.NextChannel()) {
- // should we add it for the pedestal calculation?
- if ( (fFirstPedestalSample<=time && time<=fLastPedestalSample) || // sample time in range
- !selectPedestalSamples ) { // or we don't restrict the sample range.. - then we'll take all
- sampleSum += sample;
- squaredSampleSum += sample*sample;
- nSum++;
+ int nsamples = 0;
+ vector<AliCaloBunchInfo> bunchlist;
+ while (in.NextBunch()) {
+ nsamples += in.GetBunchLength();
+ bunchlist.push_back( AliCaloBunchInfo(in.GetStartTimeBin(), in.GetBunchLength(), in.GetSignals() ) );
+ }
+
+ if (nsamples > 0) { // this check is needed for when we have zero-supp. on, but not sparse readout
+ Float_t time = 0;
+ Float_t amp = 0;
+ // indices for pedestal calc.
+ int firstPedSample = 0;
+ int lastPedSample = 0;
+
+ if (! in.IsTRUData() ) { // high gain, low gain, LED Mon data - all have the same shaper/sampling
+ AliCaloFitResults fitResults = fRawAnalyzer->Evaluate( bunchlist, in.GetAltroCFG1(), in.GetAltroCFG2());
+ amp = fitResults.GetAmp();
+ time = fitResults.GetTof();
+ firstPedSample = fFirstPedestalSample;
+ lastPedSample = fLastPedestalSample;
}
-
- } // loop over samples in bunch
- } // loop over bunches
-
- if (nsamples > 0) { // this check is needed for when we have zero-supp. on, but not sparse readout
-
- // calculate pedesstal estimate: mean of possibly selected samples
- if (nSum > 0) {
- meanPed = sampleSum / (1.0 * nSum);
- squaredMean = squaredSampleSum / (1.0 * nSum);
- // The variance (rms squared) is equal to the mean of the squares minus the square of the mean..
- rmsPed = sqrt(squaredMean - meanPed*meanPed);
- }
- else {
- meanPed = 0;
- squaredMean = 0;
- rmsPed = 0;
- }
-
- // it should be enough to check the SuperModule info for each DDL really, but let's keep it here for now
- iSM = in.GetModule(); //The modules are numbered starting from 0
-
- if (iSM>=0 && iSM<fSuperModules) { // valid module reading, can go on with filling
-
- if ( in.IsLowGain() || in.IsHighGain() ) { // regular towers
- int towerId = iSM*nTowersPerSM + in.GetColumn()*nRows + in.GetRow();
+ else { // TRU data is special, needs its own analyzer
+ AliCaloFitResults fitResults = fRawAnalyzerTRU->Evaluate( bunchlist, in.GetAltroCFG1(), in.GetAltroCFG2());
+ amp = fitResults.GetAmp();
+ time = fitResults.GetTof();
+ firstPedSample = fFirstPedestalSampleTRU;
+ lastPedSample = fLastPedestalSampleTRU;
+ }
+
+ // pedestal samples
+ int nPed = 0;
+ UShort_t *pedSamples = 0;
-
- if ( in.IsLowGain() ) {
- //fill the low gain histograms, and counters
- nTotalSMLG[iSM]++; // one more channel found
- GetRawsData(kSigLG)->Fill(towerId, max - min);
- GetRawsData(kTimeLG)->Fill(towerId, maxTime);
- GetRawsData(kTowerLG)->Fill(towerId);
- if (nSum>0) { // only fill pedestal info in case it could be calculated
- GetRawsData(kPedLG)->Fill(towerId, meanPed);
- GetRawsData(kPedRMSLG)->Fill(towerId, rmsPed);
- }
- } // gain==0
- else if ( in.IsHighGain() ) {
- //fill the high gain ones
- nTotalSMHG[iSM]++; // one more channel found
- int signal = max - min;
- // only fill the max-min signal info and maxTime, if the
- // signal was in the selected range
- if ( (signal > fMinSignalHG) && (signal < fMaxSignalHG) ) {
- GetRawsData(kSigHG)->Fill(towerId, signal);
- GetRawsData(kTimeHG)->Fill(towerId, maxTime);
- GetRawsData(kTowerHG)->Fill(towerId);
- } // signal
- if (nSum>0) { // only fill pedestal info in case it could be calculated
- GetRawsData(kPedHG)->Fill(towerId, meanPed);
- GetRawsData(kPedRMSHG)->Fill(towerId, rmsPed);
+ // select earliest bunch
+ unsigned int bunchIndex = 0;
+ unsigned int startBin = bunchlist.at(0).GetStartBin();
+ if (bunchlist.size() > 0) {
+ for(unsigned int ui=1; ui < bunchlist.size(); ui++ ) {
+ if (startBin > bunchlist.at(ui).GetStartBin() ) {
+ startBin = bunchlist.at(ui).GetStartBin();
+ bunchIndex = ui;
+ }
}
}
- } // low or high gain
- // TRU
- else if ( in.IsTRUData() ) {
- // for TRU data, the mapping class holds the TRU internal 2x2 number (0..95) in the Column var..
- int iTRU = iRCU; //TRU0 is from RCU0, TRU1 from RCU1
- if (iRCU>0 && in.GetBranch()>0) iTRU=2; // TRU2 is from branch B on RCU1
- int TRU2x2Id = iSM*n2x2PerSM + iTRU*AliEMCALGeoParams::fgkEMCAL2x2PerTRU
- + in.GetColumn();
-
- //fill the low gain histograms, and counters
- nTotalSMTRU[iSM]++; // one more channel found
- GetRawsData(kSigTRU)->Fill(TRU2x2Id, max - min);
- GetRawsData(kTimeTRU)->Fill(TRU2x2Id, maxTime);
- if (nSum>0) { // only fill pedestal info in case it could be calculated
- GetRawsData(kPedTRU)->Fill(TRU2x2Id, meanPed);
- GetRawsData(kPedRMSTRU)->Fill(TRU2x2Id, rmsPed);
- }
- }
- // LED Mon
- else if ( in.IsLEDMonData() ) {
- // for LED Mon data, the mapping class holds the gain info in the Row variable
- // and the Strip number in the Column..
- int gain = in.GetRow();
- int stripId = iSM*nStripsPerSM + in.GetColumn();
+
+ // check bunch for entries in the pedestal sample range
+ int bunchLength = bunchlist.at(bunchIndex).GetLength();
+ const UShort_t *sig = bunchlist.at(bunchIndex).GetData();
+ int timebin = 0;
+ for (int i = 0; i<bunchLength; i++) {
+ timebin = startBin--;
+ if ( firstPedSample<=timebin && timebin<=lastPedSample ) {
+ pedSamples[nPed] = sig[i];
+ nPed++;
+ }
+ } // i
+
+ // fill histograms
+ if ( in.IsLowGain() || in.IsHighGain() ) { // regular towers
+ int towerId = iSM*nTowersPerSM + in.GetColumn()*nRows + in.GetRow();
- if ( gain == 0 ) {
- //fill the low gain histograms, and counters
- nTotalSMLGLEDMon[iSM]++; // one more channel found
- GetRawsData(kSigLGLEDMon)->Fill(stripId, max - min);
- GetRawsData(kTimeLGLEDMon)->Fill(stripId, maxTime);
- if (nSum>0) { // only fill pedestal info in case it could be calculated
- GetRawsData(kPedLGLEDMon)->Fill(stripId, meanPed);
- GetRawsData(kPedRMSLGLEDMon)->Fill(stripId, rmsPed);
+ if ( in.IsLowGain() ) {
+ nTotalSMLG[iSM]++;
+ GetRawsData(kTowerLG)->Fill(towerId);
+ if ( (amp > fMinSignalLG) && (amp < fMaxSignalLG) ) {
+ GetRawsData(kSigLG)->Fill(towerId, amp);
+ GetRawsData(kTimeLG)->Fill(towerId, time);
+ }
+ if (nPed > 0) {
+ for (int i=0; i<nPed; i++) {
+ GetRawsData(kPedLG)->Fill(towerId, pedSamples[i]);
+ }
+ }
+ } // gain==0
+ else if ( in.IsHighGain() ) {
+ nTotalSMHG[iSM]++;
+ GetRawsData(kTowerHG)->Fill(towerId);
+ if ( (amp > fMinSignalHG) && (amp < fMaxSignalHG) ) {
+ GetRawsData(kSigHG)->Fill(towerId, amp);
+ GetRawsData(kTimeHG)->Fill(towerId, time);
+ }
+ if (nPed > 0) {
+ for (int i=0; i<nPed; i++) {
+ GetRawsData(kPedHG)->Fill(towerId, pedSamples[i]);
+ }
+ }
+ } // gain==1
+ } // low or high gain
+ // TRU
+ else if ( in.IsTRUData() && in.GetColumn()<AliEMCALGeoParams::fgkEMCAL2x2PerTRU) {
+ // for TRU data, the mapping class holds the TRU internal 2x2 number (0..95) in the Column var..
+ int iTRU = iRCU; //TRU0 is from RCU0, TRU1 from RCU1
+ if (iRCU>0 && in.GetBranch()>0) iTRU=2; // TRU2 is from branch B on RCU1
+ int iTRU2x2Id = iSM*n2x2PerSM + iTRU*AliEMCALGeoParams::fgkEMCAL2x2PerTRU
+ + in.GetColumn();
+
+ nTotalSMTRU[iSM]++;
+ if ( (amp > fMinSignalTRU) && (amp < fMaxSignalTRU) ) {
+ GetRawsData(kSigTRU)->Fill(iTRU2x2Id, amp);
+ GetRawsData(kTimeTRU)->Fill(iTRU2x2Id, time);
}
- } // gain==0
- else if ( gain == 1 ) {
- //fill the high gain ones
- nTotalSMHGLEDMon[iSM]++; // one more channel found
- GetRawsData(kSigHGLEDMon)->Fill(stripId, max - min);
- GetRawsData(kTimeHGLEDMon)->Fill(stripId, maxTime);
- if (nSum>0) { // only fill pedestal info in case it could be calculated
- GetRawsData(kPedHGLEDMon)->Fill(stripId, meanPed);
- GetRawsData(kPedRMSHGLEDMon)->Fill(stripId, rmsPed);
+ if (nPed > 0) {
+ for (int i=0; i<nPed; i++) {
+ GetRawsData(kPedTRU)->Fill(iTRU2x2Id, pedSamples[i]);
+ }
}
- } // low or high gain
- } // LEDMon
-
- } // SM index OK
+ }
+ // LED Mon
+ else if ( in.IsLEDMonData() ) {
+ // for LED Mon data, the mapping class holds the gain info in the Row variable
+ // and the Strip number in the Column..
+ int gain = in.GetRow();
+ int stripId = iSM*nStripsPerSM + in.GetColumn();
+
+ if ( gain == 0 ) {
+ nTotalSMLGLEDMon[iSM]++;
+ if ( (amp > fMinSignalLGLEDMon) && (amp < fMaxSignalLGLEDMon) ) {
+ GetRawsData(kSigLGLEDMon)->Fill(stripId, amp);
+ GetRawsData(kTimeLGLEDMon)->Fill(stripId, time);
+ }
+ if (nPed > 0) {
+ for (int i=0; i<nPed; i++) {
+ GetRawsData(kPedLGLEDMon)->Fill(stripId, pedSamples[i]);
+ }
+ }
+ } // gain==0
+ else if ( gain == 1 ) {
+ nTotalSMHGLEDMon[iSM]++;
+ if ( (amp > fMinSignalHGLEDMon) && (amp < fMaxSignalHGLEDMon) ) {
+ GetRawsData(kSigHGLEDMon)->Fill(stripId, amp);
+ GetRawsData(kTimeHGLEDMon)->Fill(stripId, time);
+ }
+ if (nPed > 0) {
+ for (int i=0; i<nPed; i++) {
+ GetRawsData(kPedHGLEDMon)->Fill(stripId, pedSamples[i]);
+ }
+ }
+ } // low or high gain
+ } // LEDMon
+
+ } // SM index OK
} // nsamples>0 check, some data found for this channel; not only trailer/header
}// end while over channel
GetRawsData(kNsmodLGLEDMon)->Fill(iSM, nTotalSMLGLEDMon[iSM]);
GetRawsData(kNsmodHGLEDMon)->Fill(iSM, nTotalSMHGLEDMon[iSM]);
}
+
GetRawsData(kNtotLG)->Fill(nTotalLG);
GetRawsData(kNtotHG)->Fill(nTotalHG);
GetRawsData(kNtotTRU)->Fill(nTotalTRU);
GetRawsData(kNtotLGLEDMon)->Fill(nTotalLGLEDMon);
GetRawsData(kNtotHGLEDMon)->Fill(nTotalHGLEDMon);
-
+
+ SetEventSpecie(saveSpecie) ;
// just in case the next rawreader consumer forgets to reset; let's do it here again..
rawReader->Reset() ;
}
+//____________________________________________________________________________
+void AliEMCALQADataMakerRec::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 {
+ AliWarning("EMCAL QA invalid fit algorithm choice") ;
+ }
+
+ }
+ return;
+}
+
// --- AliRoot header files ---
#include "AliQADataMakerRec.h"
+class AliCaloRawAnalyzer;
+class AliCaloRawAnalyzerLMS;
class AliEMCALQADataMakerRec: public AliQADataMakerRec {
kNsmodLG,kNsmodHG,kTimeLG,kTimeHG,
kSigLG,kSigHG,kNtotLG,kNtotHG,kTowerHG,kTowerLG,
kPedLG,kPedHG,
- kPedRMSLG,kPedRMSHG,
// then TRU info
kNsmodTRU,kTimeTRU,
kSigTRU,kNtotTRU,
- kPedTRU,kPedRMSTRU,
+ kPedTRU,
// and also LED Mon info
kNsmodLGLEDMon,kNsmodHGLEDMon,kTimeLGLEDMon,kTimeHGLEDMon,
kSigLGLEDMon,kSigHGLEDMon,kNtotLGLEDMon,kNtotHGLEDMon,
- kPedLGLEDMon,kPedHGLEDMon,
- kPedRMSLGLEDMon,kPedRMSHGLEDMon
+ kPedLGLEDMon,kPedHGLEDMon
} ;
//Histograms for RecPoints control
public:
- AliEMCALQADataMakerRec() ; // ctor
+ enum fitAlgorithm {kFastFit=1, kNeuralNet = 2, kLMS = 4, kPeakFinder = 5, kCrude = 6};
+ AliEMCALQADataMakerRec(fitAlgorithm fitAlgo = kNeuralNet) ; // ctor
+
AliEMCALQADataMakerRec(const AliEMCALQADataMakerRec& qadm) ;
AliEMCALQADataMakerRec& operator = (const AliEMCALQADataMakerRec& qadm) ;
virtual ~AliEMCALQADataMakerRec() {;} // dtor
+ Int_t GetFittingAlgorithm() const {return fFittingAlgorithm; }
+ void SetFittingAlgorithm(Int_t val);
+ AliCaloRawAnalyzer *GetRawAnalyzer() const { return fRawAnalyzer;}
+ AliCaloRawAnalyzerLMS *GetRawAnalyzerTRU() const { return fRawAnalyzerTRU;}
+
void SetSuperModules(int i) {fSuperModules = i;}; //The number of SuperModules
int GetSuperModules() const {return fSuperModules;}; //The number of SuperModules
int GetFirstPedestalSample() const {return fFirstPedestalSample;}; // first sample
void SetLastPedestalSample(int i) {fLastPedestalSample = i;}; // last sample
int GetLastPedestalSample() const {return fLastPedestalSample;}; // last sample
- // for selection of interesting signal (max-min) range for High Gain channels
- // (useful for MIP/cosmic studies)
- void SetMinSignalHG(int i) {fMinSignalHG = i;}; // minimum signal
- int GetMinSignalHG() const {return fMinSignalHG;}; // minimum signal
- void SetMaxSignalHG(int i) {fMaxSignalHG = i;}; // maximum signal
- int GetMaxSignalHG() const {return fMaxSignalHG;}; // maximum signal
+ void SetFirstPedestalSampleTRU(int i) {fFirstPedestalSampleTRU = i;}; // first sample, TRU
+ int GetFirstPedestalSampleTRU() const {return fFirstPedestalSampleTRU;}; // first sample, TRU
+ void SetLastPedestalSampleTRU(int i) {fLastPedestalSampleTRU = i;}; // last sample, TRU
+ int GetLastPedestalSampleTRU() const {return fLastPedestalSampleTRU;}; // last sample, TRU
+
+ // for selection of interesting signal (max-min) range
+ // Low Gain channels
+ void SetMinSignalLG(int i) {fMinSignalLG = i;};
+ int GetMinSignalLG() const {return fMinSignalLG;};
+ void SetMaxSignalLG(int i) {fMaxSignalLG = i;};
+ int GetMaxSignalLG() const {return fMaxSignalLG;};
+ // High Gain channels
+ void SetMinSignalHG(int i) {fMinSignalHG = i;};
+ int GetMinSignalHG() const {return fMinSignalHG;};
+ void SetMaxSignalHG(int i) {fMaxSignalHG = i;};
+ int GetMaxSignalHG() const {return fMaxSignalHG;};
+ // TRU channels
+ void SetMinSignalTRU(int i) {fMinSignalTRU = i;};
+ int GetMinSignalTRU() const {return fMinSignalTRU;};
+ void SetMaxSignalTRU(int i) {fMaxSignalTRU = i;};
+ int GetMaxSignalTRU() const {return fMaxSignalTRU;};
+ // LEDMon channels
+ void SetMinSignalLGLEDMon(int i) {fMinSignalLGLEDMon = i;};
+ int GetMinSignalLGLEDMon() const {return fMinSignalLGLEDMon;};
+ void SetMaxSignalLGLEDMon(int i) {fMaxSignalLGLEDMon = i;};
+ int GetMaxSignalLGLEDMon() const {return fMaxSignalLGLEDMon;};
+ void SetMinSignalHGLEDMon(int i) {fMinSignalHGLEDMon = i;};
+ int GetMinSignalHGLEDMon() const {return fMinSignalHGLEDMon;};
+ void SetMaxSignalHGLEDMon(int i) {fMaxSignalHGLEDMon = i;};
+ int GetMaxSignalHGLEDMon() const {return fMaxSignalHGLEDMon;};
virtual void EndOfDetectorCycle(AliQAv1::TASKINDEX_t, TObjArray ** list) ;
virtual void InitESDs() ;
virtual void StartOfDetectorCycle() ;
private:
+
+ Int_t fFittingAlgorithm; // select the fitting algorithm
+ AliCaloRawAnalyzer *fRawAnalyzer; // for signal fitting
+ AliCaloRawAnalyzerLMS *fRawAnalyzerTRU; // for signal fitting, for TRU
+
int fSuperModules; //The number of SuperModules activated
- int fFirstPedestalSample; // first sample for pedestal calculation
- int fLastPedestalSample; // last sample for pedestal calculation
+ int fFirstPedestalSample; // first sample for pedestal calculation, in bunch
+ int fLastPedestalSample; // last sample for pedestal calculation, in bunch
+ int fFirstPedestalSampleTRU; // first sample for pedestal calculation, in bunch
+ int fLastPedestalSampleTRU; // last sample for pedestal calculation, in bunch
+ int fMinSignalLG; // minimum signal, for Low Gain channels
+ int fMaxSignalLG; // maximum signal, for Low Gain channels
int fMinSignalHG; // minimum signal, for High Gain channels
int fMaxSignalHG; // maximum signal, for High Gain channels
+ int fMinSignalTRU; // minimum signal, for TRU channels
+ int fMaxSignalTRU; // maximum signal, for TRU channels
+ int fMinSignalLGLEDMon; // minimum signal, for LEDMon channels, low gain
+ int fMaxSignalLGLEDMon; // maximum signal, for LEDMon channels, low gain
+ int fMinSignalHGLEDMon; // minimum signal, for LEDMon channels, high gain
+ int fMaxSignalHGLEDMon; // maximum signal, for LEDMon channels, high gain
+
- ClassDef(AliEMCALQADataMakerRec,4) // description
+ ClassDef(AliEMCALQADataMakerRec,5) // description
};
git://git.uio.no / u / mrichter / AliRoot.git / commitdiff