+// -*- mode: c++ -*-
/**************************************************************************
* Copyright(c) 1998-1999, ALICE Experiment at CERN, All rights reserved. *
* *
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 = 0; // pedestal value for digits2raw, default generate ZS data
-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),
//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 && 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 {
AliDebug(1, Form("Using default geometry in raw reco"));
fGeom = AliEMCALGeometry::GetInstance(AliEMCALGeometry::GetDefaultGeometryName());
}
//____________________________________________________________________________
-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),
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);
}
else{
if (digit->GetAmplitude() < fgThreshold)
- continue;
+ continue;
//get cell indices
Int_t nSM = 0;
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);
+ 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;
- }
-
- // 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);
+ 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++) {
if (buffers[i]) {
void AliEMCALRawUtils::Raw2Digits(AliRawReader* reader,TClonesArray *digitsArr, const AliCaloCalibPedestal* pedbadmap, TClonesArray *digitsTRG, AliEMCALTriggerData* trgData)
{
// convert raw data of the current event to digits
-
+
if(digitsArr) digitsArr->Clear("C");
-
+
if (!digitsArr) {
Error("Raw2Digits", "no digits found !");
return;
// Select EMCAL DDL's;
reader->Select("EMCAL",0,43); // 43 = AliEMCALGeoParams::fgkLastAltroDDL
-
+
fTriggerRawDigitMaker->Reset();
fTriggerRawDigitMaker->SetIO(reader, in, inSTU, digitsTRG, trgData);
fRawAnalyzer->SetAmpCut(fNoiseThreshold);
fRawAnalyzer->SetFitArrayCut(fNoiseThreshold);
fRawAnalyzer->SetIsZeroSuppressed(true); // TMP - should use stream->IsZeroSuppressed(), or altro cfg registers later
-
+
// channel info parameters
Int_t lowGain = 0;
Int_t caloFlag = 0; // low, high gain, or TRU, or LED ref.
-
+
// start loop over input stream
while (in.NextDDL()) {
-// if ( in.GetDDLNumber() != 0 && in.GetDDLNumber() != 2 ) continue;
-
+ // 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;
- if (caloFlag > 2) continue; // Work with ALTRO and FALTRO
-
+ // 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;
+ //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
-
-
- 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 ( 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();
- chi2 = fitResults.GetChi2();
- ndf = fitResults.GetNdf();
- 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 && 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));
+ 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;
- // 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
+ 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);
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()));
//--------------------------------------------------
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(i, 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");
// 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;
+ 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;
+ 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;
-
+
//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) ;
{
// 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) ;
Double_t signal=0.0, noise=0.0;
for (Int_t iTime = 0; iTime < GetRawFormatTimeBins(); 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.
- if(keyErr>0) {
- 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 ;
}
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);
+ //printf(" AliEMCALRawUtils::CalculateChi2 : %i : y %f -> f %f : dy %f \n", i, y[i], f, dy);
}
if(sig>0.0) chi2 /= (sig*sig);
}
fFittingAlgorithm = fitAlgo;
if (fRawAnalyzer) delete fRawAnalyzer; // delete prev. analyzer if existed.
- if (fitAlgo == kFastFit) {
+ if (fitAlgo == Algo::kFastFit) {
fRawAnalyzer = new AliCaloRawAnalyzerFastFit();
}
- else if (fitAlgo == kNeuralNet) {
+ else if (fitAlgo == Algo::kNeuralNet) {
fRawAnalyzer = new AliCaloRawAnalyzerNN();
}
- else if (fitAlgo == kLMS) {
+ else if (fitAlgo == Algo::kLMS) {
fRawAnalyzer = new AliCaloRawAnalyzerLMS();
}
- else if (fitAlgo == kPeakFinder) {
+ else if (fitAlgo == Algo::kPeakFinder) {
fRawAnalyzer = new AliCaloRawAnalyzerPeakFinder();
}
- else if (fitAlgo == kCrude) {
+ else if (fitAlgo == Algo::kCrude) {
fRawAnalyzer = new AliCaloRawAnalyzerCrude();
}
else {
- fRawAnalyzer = new AliCaloRawAnalyzer();
+ // fRawAnalyzer = new AliCaloRawAnalyzer();
+ fRawAnalyzer = 0;
}
}
git://git.uio.no / u / mrichter / AliRoot.git / blobdiff