Authors: J.Klay (Cal Poly) May 2008
S. Salur LBL April 2008
+
+Created one histogram for QA shifter;
+The idea:average counts for all the towers should be flat
+Change all existing histograms as experts
+ --By Yaxian Mao
*/
#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
}
//__________________________________________________________________
void AliEMCALQADataMakerRec::EndOfDetectorCycle(AliQAv1::TASKINDEX_t task, TObjArray ** list)
{
//Detector specific actions at end of cycle
+
+// if(fCycleCounter)
+// GetRawsData(kNEventsPerTower)->Scale(1./fCycleCounter);
+
// do the QA checking
AliQAChecker::Instance()->Run(AliQAv1::kEMCAL, task, list) ;
}
const Bool_t expert = kTRUE ;
const Bool_t image = kTRUE ;
- TH1F * h1 = new TH1F("hESDCaloClusterE", "ESDs CaloCluster energy in EMCAL;Energy [MeV];Counts", 200, 0., 20.) ;
+ TH1F * h1 = new TH1F("hESDCaloClusterE", "ESDs CaloCluster energy in EMCAL;Energy [GeV];Counts", 200, 0., 100.) ;
h1->Sumw2() ;
Add2ESDsList(h1, kESDCaloClusE, !expert, image) ;
h2->Sumw2() ;
Add2ESDsList(h2, kESDCaloClusM, !expert, image) ;
- TH1F * h3 = new TH1F("hESDCaloCellA", "ESDs CaloCell amplitude in EMCAL;Energy [MeV];Counts", 500, 0., 250.) ;
+ TH1F * h3 = new TH1F("hESDCaloCellA", "ESDs CaloCell amplitude in EMCAL;Energy [GeV];Counts", 500, 0., 50.) ;
h3->Sumw2() ;
Add2ESDsList(h3, kESDCaloCellA, !expert, image) ;
const Bool_t expert = kTRUE ;
const Bool_t image = kTRUE ;
- TH1F* h0 = new TH1F("hEMCALRpE","EMCAL RecPoint energies;Energy [MeV];Counts",200, 0.,20.); //GeV
+ TH1F* h0 = new TH1F("hEMCALRpE","EMCAL RecPoint energies;Energy [GeV];Counts",200, 0.,20.); //GeV
h0->Sumw2();
Add2RecPointsList(h0,kRecPE, !expert, image);
// counter info: number of channels per event (bins are SM index)
TProfile * h0 = new TProfile("hLowEmcalSupermodules", "Low Gain EMC: # of towers vs SuperMod;SM Id;# of towers",
fSuperModules, -0.5, fSuperModules-0.5) ;
- Add2RawsList(h0, kNsmodLG, !expert, image, !saveCorr) ;
+ Add2RawsList(h0, kNsmodLG, expert, image, !saveCorr) ;
TProfile * h1 = new TProfile("hHighEmcalSupermodules", "High Gain EMC: # of towers vs SuperMod;SM Id;# of towers",
fSuperModules, -0.5, fSuperModules-0.5) ;
- Add2RawsList(h1, kNsmodHG, !expert, image, !saveCorr) ;
+ Add2RawsList(h1, kNsmodHG, expert, image, !saveCorr) ;
// where did max sample occur? (bins are towers)
TProfile * h2 = new TProfile("hLowEmcalRawtime", "Low Gain EMC: Time at Max vs towerId;Tower Id;Time [ticks]",
nTot, -0.5, nTot-0.5) ;
- Add2RawsList(h2, kTimeLG, !expert, image, !saveCorr) ;
+ Add2RawsList(h2, kTimeLG, expert, image, !saveCorr) ;
TProfile * h3 = new TProfile("hHighEmcalRawtime", "High Gain EMC: Time at Max vs towerId;Tower Id;Time [ticks]",
nTot, -0.5, nTot-0.5) ;
- Add2RawsList(h3, kTimeHG, !expert, image, !saveCorr) ;
+ Add2RawsList(h3, kTimeHG, expert, image, !saveCorr) ;
// how much above pedestal was the max sample? (bins are towers)
TProfile * h4 = new TProfile("hLowEmcalRawMaxMinusMin", "Low Gain EMC: Max - Min vs towerId;Tower Id;Max-Min [ADC counts]",
nTot, -0.5, nTot-0.5) ;
- Add2RawsList(h4, kSigLG, !expert, image, !saveCorr) ;
+ Add2RawsList(h4, kSigLG, expert, image, !saveCorr) ;
TProfile * h5 = new TProfile("hHighEmcalRawMaxMinusMin", "High Gain EMC: Max - Min vs towerId;Tower Id;Max-Min [ADC counts]",
nTot, -0.5, nTot-0.5) ;
- Add2RawsList(h5, kSigHG, !expert, image, !saveCorr) ;
+ Add2RawsList(h5, kSigHG, expert, image, !saveCorr) ;
// total counter: channels per event
TH1I * h6 = new TH1I("hLowNtot", "Low Gain EMC: Total Number of found towers;# of Towers;Counts", 200, 0, nTot) ;
h6->Sumw2() ;
- Add2RawsList(h6, kNtotLG, !expert, image, !saveCorr) ;
+ Add2RawsList(h6, kNtotLG, expert, image, !saveCorr) ;
TH1I * h7 = new TH1I("hHighNtot", "High Gain EMC: Total Number of found towers;# of Towers;Counts", 200,0, nTot) ;
h7->Sumw2() ;
- Add2RawsList(h7, kNtotHG, !expert, image, !saveCorr) ;
+ Add2RawsList(h7, kNtotHG, expert, image, !saveCorr) ;
// pedestal (bins are towers)
TProfile * h8 = new TProfile("hLowEmcalRawPed", "Low Gain EMC: Pedestal vs towerId;Tower Id;Pedestal [ADC counts]",
nTot, -0.5, nTot-0.5) ;
- Add2RawsList(h8, kPedLG, !expert, image, !saveCorr) ;
+ Add2RawsList(h8, kPedLG, expert, image, !saveCorr) ;
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) ;
-
+ Add2RawsList(h9, kPedHG, 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) ;
+ h12->Sumw2() ;
+ Add2RawsList(h12, kTowerHG, !expert, image, !saveCorr) ;
+ TH1I * h13 = new TH1I("hTowerLG", "Low Gains on the Tower;Tower", nTot,0, nTot) ;
+ h13->Sumw2() ;
+ Add2RawsList(h13, kTowerLG, !expert, image, !saveCorr) ;
// now repeat the same for TRU and LEDMon data
int nTot2x2 = fSuperModules * AliEMCALGeoParams::fgkEMCALTRUsPerSM * AliEMCALGeoParams::fgkEMCAL2x2PerTRU; // max number of TRU channels for all SuperModules
// counter info: number of channels per event (bins are SM index)
TProfile * hT0 = new TProfile("hTRUEmcalSupermodules", "TRU EMC: # of TRU channels vs SuperMod;SM Id;# of TRU channels",
fSuperModules, -0.5, fSuperModules-0.5) ;
- Add2RawsList(hT0, kNsmodTRU, !expert, image, !saveCorr) ;
+ Add2RawsList(hT0, kNsmodTRU, expert, image, !saveCorr) ;
// where did max sample occur? (bins are TRU channels)
TProfile * hT1 = new TProfile("hTRUEmcalRawtime", "TRU EMC: Time at Max vs 2x2Id;2x2 Id;Time [ticks]",
nTot2x2, -0.5, nTot2x2-0.5) ;
- Add2RawsList(hT1, kTimeTRU, !expert, image, !saveCorr) ;
+ Add2RawsList(hT1, kTimeTRU, expert, image, !saveCorr) ;
// how much above pedestal was the max sample? (bins are TRU channels)
TProfile * hT2 = new TProfile("hTRUEmcalRawMaxMinusMin", "TRU EMC: Max - Min vs 2x2Id;2x2 Id;Max-Min [ADC counts]",
nTot2x2, -0.5, nTot2x2-0.5) ;
- Add2RawsList(hT2, kSigTRU, !expert, image, !saveCorr) ;
+ Add2RawsList(hT2, kSigTRU, expert, image, !saveCorr) ;
// total counter: channels per event
TH1I * hT3 = new TH1I("hTRUNtot", "TRU EMC: Total Number of found TRU channels;# of TRU Channels;Counts", 200, 0, nTot2x2) ;
hT3->Sumw2() ;
- Add2RawsList(hT3, kNtotTRU, !expert, image, !saveCorr) ;
+ Add2RawsList(hT3, kNtotTRU, expert, image, !saveCorr) ;
// pedestal (bins are TRU channels)
TProfile * hT4 = new TProfile("hTRUEmcalRawPed", "TRU EMC: Pedestal vs 2x2Id;2x2 Id;Pedestal [ADC counts]",
nTot2x2, -0.5, nTot2x2-0.5) ;
- Add2RawsList(hT4, kPedTRU, !expert, image, !saveCorr) ;
+ 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) ;
+ // L0 trigger hits: # of hits (bins are TRU channels)
+ TH1I * hT5 = new TH1I("hTRUEmcalL0hits", "L0 trigger hits: Total number of 2x2 L0 generated", nTot2x2, -0.5, nTot2x2);
+ hT5->Sumw2();
+ Add2RawsList(hT5, kNL0TRU, expert, image, !saveCorr);
+
+ // L0 trigger hits: average time (bins are TRU channels)
+ TProfile * hT6 = new TProfile("hTRUEmcalL0hitsAvgTime", "L0 trigger hits: average time bin", nTot2x2, -0.5, nTot2x2);
+ Add2RawsList(hT6, kTimeL0TRU, 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
// counter info: number of channels per event (bins are SM index)
- TProfile * hL0 = new TProfile("hLowLEDMONEmcalSupermodules", "LowLEDMON Gain EMC: # of strips vs SuperMod;SM Id;# of strips",
+ TProfile * hL0 = new TProfile("hLowLEDMonEmcalSupermodules", "LowLEDMon Gain EMC: # of strips vs SuperMod;SM Id;# of strips",
fSuperModules, -0.5, fSuperModules-0.5) ;
- Add2RawsList(hL0, kNsmodLGLEDMon, !expert, image, !saveCorr) ;
+ Add2RawsList(hL0, kNsmodLGLEDMon, expert, image, !saveCorr) ;
TProfile * hL1 = new TProfile("hHighLEDMonEmcalSupermodules", "HighLEDMon Gain EMC: # of strips vs SuperMod;SM Id;# of strips",
fSuperModules, -0.5, fSuperModules-0.5) ;
- Add2RawsList(hL1, kNsmodHGLEDMon, !expert, image, !saveCorr) ;
+ Add2RawsList(hL1, kNsmodHGLEDMon, expert, image, !saveCorr) ;
// where did max sample occur? (bins are strips)
- TProfile * hL2 = new TProfile("hLowLEDMONEmcalRawtime", "LowLEDMON Gain EMC: Time at Max vs stripId;Strip Id;Time [ticks]",
+ TProfile * hL2 = new TProfile("hLowLEDMonEmcalRawtime", "LowLEDMon Gain EMC: Time at Max vs stripId;Strip Id;Time [ticks]",
nTotLEDMon, -0.5, nTotLEDMon-0.5) ;
- Add2RawsList(hL2, kTimeLGLEDMon, !expert, image, !saveCorr) ;
+ Add2RawsList(hL2, kTimeLGLEDMon, expert, image, !saveCorr) ;
TProfile * hL3 = new TProfile("hHighLEDMonEmcalRawtime", "HighLEDMon Gain EMC: Time at Max vs stripId;Strip Id;Time [ticks]",
nTotLEDMon, -0.5, nTotLEDMon-0.5) ;
- Add2RawsList(hL3, kTimeHGLEDMon, !expert, image, !saveCorr) ;
+ Add2RawsList(hL3, kTimeHGLEDMon, expert, image, !saveCorr) ;
// how much above pedestal was the max sample? (bins are strips)
- TProfile * hL4 = new TProfile("hLowLEDMONEmcalRawMaxMinusMin", "LowLEDMON Gain EMC: Max - Min vs stripId;Strip Id;Max-Min [ADC counts]",
+ TProfile * hL4 = new TProfile("hLowLEDMonEmcalRawMaxMinusMin", "LowLEDMon Gain EMC: Max - Min vs stripId;Strip Id;Max-Min [ADC counts]",
nTotLEDMon, -0.5, nTotLEDMon-0.5) ;
- Add2RawsList(hL4, kSigLGLEDMon, !expert, image, !saveCorr) ;
+ Add2RawsList(hL4, kSigLGLEDMon, expert, image, !saveCorr) ;
TProfile * hL5 = new TProfile("hHighLEDMonEmcalRawMaxMinusMin", "HighLEDMon Gain EMC: Max - Min vs stripId;Strip Id;Max-Min [ADC counts]",
nTotLEDMon, -0.5, nTotLEDMon-0.5) ;
- Add2RawsList(hL5, kSigHGLEDMon, !expert, image, !saveCorr) ;
+ Add2RawsList(hL5, kSigHGLEDMon, expert, image, !saveCorr) ;
// total counter: channels per event
- TH1I * hL6 = new TH1I("hLowLEDMONNtot", "LowLEDMON Gain EMC: Total Number of found strips;# of Strips;Counts", 200, 0, nTotLEDMon) ;
+ TH1I * hL6 = new TH1I("hLowLEDMonNtot", "LowLEDMon Gain EMC: Total Number of found strips;# of Strips;Counts", 200, 0, nTotLEDMon) ;
hL6->Sumw2() ;
- Add2RawsList(hL6, kNtotLGLEDMon, !expert, image, !saveCorr) ;
+ Add2RawsList(hL6, kNtotLGLEDMon, expert, image, !saveCorr) ;
TH1I * hL7 = new TH1I("hHighLEDMonNtot", "HighLEDMon Gain EMC: Total Number of found strips;# of Strips;Counts", 200,0, nTotLEDMon) ;
hL7->Sumw2() ;
- Add2RawsList(hL7, kNtotHGLEDMon, !expert, image, !saveCorr) ;
+ Add2RawsList(hL7, kNtotHGLEDMon, expert, image, !saveCorr) ;
// pedestal (bins are strips)
- TProfile * hL8 = new TProfile("hLowLEDMONEmcalRawPed", "LowLEDMON Gain EMC: Pedestal vs stripId;Strip Id;Pedestal [ADC counts]",
+ TProfile * hL8 = new TProfile("hLowLEDMonEmcalRawPed", "LowLEDMon Gain EMC: Pedestal vs stripId;Strip Id;Pedestal [ADC counts]",
nTotLEDMon, -0.5, nTotLEDMon-0.5) ;
- Add2RawsList(hL8, kPedLGLEDMon, !expert, image, !saveCorr) ;
+ Add2RawsList(hL8, kPedLGLEDMon, expert, image, !saveCorr) ;
TProfile * hL9 = new TProfile("hHighLEDMonEmcalRawPed", "HighLEDMon Gain EMC: Pedestal vs stripId;Strip Id;Pedestal [ADC counts]",
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) ;
-
+ Add2RawsList(hL9, kPedHGLEDMon, expert, image, !saveCorr) ;
+
}
//____________________________________________________________________________
void AliEMCALQADataMakerRec::MakeRaws(AliRawReader* rawReader)
{
//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
+
+ 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
- // setup
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;
+ int n2x2PerTRU = AliEMCALGeoParams::fgkEMCAL2x2PerTRU;
// SM counters; decl. should be safe, assuming we don't get more than expected SuperModules..
int nTotalSMLG[AliEMCALGeoParams::fgkEMCALModules] = {0};
int nTotalSMLGLEDMon[AliEMCALGeoParams::fgkEMCALModules] = {0};
int nTotalSMHGLEDMon[AliEMCALGeoParams::fgkEMCALModules] = {0};
- // indices for the reading
- 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;
-
- // calc. quantities
- double meanPed = 0, squaredMean = 0, rmsPed = 0;
+ int nTRUL0ChannelBits = 10; // used for L0 trigger bits checks
// start loop over input stream
+ int iSM = 0;
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
-
- // 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();
- 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;
- }
- // 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++;
+ while (in.NextChannel()) {
+ iSM = in.GetModule(); // SuperModule
+ //printf("iSM %d DDL %d", iSM, in.GetDDLNumber());
+ if (iSM>=0 && iSM<fSuperModules) { // valid module reading
+
+ 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;
+ bool isTRUL0IdData = false;
+
+ 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
-
- // 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();
-
- 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);
- if (nSum>0) { // only fill pedestal info in case it could be calculated
- GetRawsData(kPedLG)->Fill(towerId, meanPed);
- GetRawsData(kPedRMSLG)->Fill(towerId, rmsPed);
+ 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;
+ if (in.GetColumn() > n2x2PerTRU) {
+ isTRUL0IdData = true;
}
- } // 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);
- } // signal
- if (nSum>0) { // only fill pedestal info in case it could be calculated
- GetRawsData(kPedHG)->Fill(towerId, meanPed);
- GetRawsData(kPedRMSHG)->Fill(towerId, rmsPed);
+ }
+
+ // pedestal samples
+ int nPed = 0;
+ vector<int> pedSamples;
+
+ // 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);
+
+ // 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;
+
+ if (! isTRUL0IdData) { // regular data, can look at pedestals
+ for (int i = 0; i<bunchLength; i++) {
+ timebin = startBin--;
+ if ( firstPedSample<=timebin && timebin<=lastPedSample ) {
+ pedSamples.push_back( sig[i] );
+ nPed++;
+ }
+ } // i
+ // printf("nPed %d\n", nPed);
}
- }
- // 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 ) {
- //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);
+ else { // TRU L0 Id Data
+ // which TRU the channel belongs to?
+ int TRUId = in.GetModule()*3 + (iRCU*in.GetBranch() + iRCU);
+
+ for (int i = 0; i< bunchLength; i++) {
+ for( int j = 0; j < nTRUL0ChannelBits; j++ ){
+ // check if the bit j is 1
+ if( (sig[i] & ( 1 << j )) > 0 ){
+ int TRUIdInSM = (in.GetColumn() - n2x2PerTRU)*nTRUL0ChannelBits+j;
+ if(TRUIdInSM < n2x2PerTRU) {
+ int TRUAbsId = TRUIdInSM + n2x2PerTRU * TRUId;
+ // Fill the histograms
+ GetRawsData(kNL0TRU)->Fill(TRUAbsId);
+ GetRawsData(kTimeL0TRU)->Fill(TRUAbsId, startBin);
+ }
+ }
+ }
+ startBin--;
+ } // i
+ } // TRU L0 Id data
+
+ // fill histograms
+ if ( in.IsLowGain() || in.IsHighGain() ) { // regular towers
+ int towerId = iSM*nTowersPerSM + in.GetColumn()*nRows + in.GetRow();
+ 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*in.GetBranch() + iRCU); //TRU0 is from RCU0, TRU1 from RCU1, 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
}//end while over DDL's, of input stream
nTotalLG += nTotalSMLG[iSM];
nTotalHG += nTotalSMHG[iSM];
nTotalTRU += nTotalSMTRU[iSM];
- nTotalLG += nTotalSMLGLEDMon[iSM];
- nTotalHG += nTotalSMHGLEDMon[iSM];
+ nTotalLGLEDMon += nTotalSMLGLEDMon[iSM];
+ nTotalHGLEDMon += nTotalSMHGLEDMon[iSM];
GetRawsData(kNsmodLG)->Fill(iSM, nTotalSMLG[iSM]);
GetRawsData(kNsmodHG)->Fill(iSM, nTotalSMHG[iSM]);
GetRawsData(kNsmodTRU)->Fill(iSM, nTotalSMTRU[iSM]);
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;
+}
+
git://git.uio.no / u / mrichter / AliRoot.git / blobdiff