1 /**************************************************************************
2 * Copyright(c) 1998-1999, ALICE Experiment at CERN, All rights reserved. *
4 * Author: The ALICE Off-line Project. *
5 * Contributors are mentioned in the code where appropriate. *
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14 **************************************************************************/
18 //_________________________________________________________________________
19 // Utility Class for handling Raw data
20 // Does all transitions from Digits to Raw and vice versa,
21 // for simu and reconstruction
23 // Note: the current version is still simplified. Only
24 // one raw signal per digit is generated; either high-gain or low-gain
25 // Need to add concurrent high and low-gain info in the future
26 // No pedestal is added to the raw signal.
27 //*-- Author: Marco van Leeuwen (LBL)
29 #include "AliEMCALRawUtils.h"
38 #include "AliRunLoader.h"
39 class AliCaloAltroMapping;
40 #include "AliAltroBuffer.h"
41 #include "AliRawReader.h"
42 #include "AliCaloRawStreamV3.h"
45 #include "AliEMCALRecParam.h"
46 #include "AliEMCALLoader.h"
47 #include "AliEMCALGeometry.h"
48 class AliEMCALDigitizer;
49 #include "AliEMCALDigit.h"
51 #include "AliCaloCalibPedestal.h"
52 #include "AliCaloFastAltroFitv0.h"
53 #include "AliCaloNeuralFit.h"
54 #include "AliCaloBunchInfo.h"
55 #include "AliCaloFitResults.h"
56 #include "AliCaloRawAnalyzerFastFit.h"
57 #include "AliCaloRawAnalyzerNN.h"
58 #include "AliCaloRawAnalyzerLMS.h"
59 #include "AliCaloRawAnalyzerPeakFinder.h"
60 #include "AliCaloRawAnalyzerCrude.h"
62 ClassImp(AliEMCALRawUtils)
64 // Signal shape parameters
65 Int_t AliEMCALRawUtils::fgTimeBins = 256; // number of sampling bins of the raw RO signal (we typically use 15-50; theoretical max is 1k+)
66 Double_t AliEMCALRawUtils::fgTimeBinWidth = 100E-9 ; // each sample is 100 ns
67 Double_t AliEMCALRawUtils::fgTimeTrigger = 1.5E-6 ; // 15 time bins ~ 1.5 musec
69 // some digitization constants
70 Int_t AliEMCALRawUtils::fgThreshold = 1;
71 Int_t AliEMCALRawUtils::fgDDLPerSuperModule = 2; // 2 ddls per SuperModule
72 Int_t AliEMCALRawUtils::fgPedestalValue = 0; // pedestal value for digits2raw
73 Double_t AliEMCALRawUtils::fgFEENoise = 3.; // 3 ADC channels of noise (sampled)
75 AliEMCALRawUtils::AliEMCALRawUtils(fitAlgorithm fitAlgo)
76 : fHighLowGainFactor(0.), fOrder(0), fTau(0.), fNoiseThreshold(0),
77 fNPedSamples(0), fGeom(0), fOption(""),
78 fRemoveBadChannels(kTRUE),fFittingAlgorithm(0),fRawAnalyzer(0)
81 //These are default parameters.
82 //Can be re-set from without with setter functions
83 //Already set in the OCDB and passed via setter in the AliEMCALReconstructor
84 fHighLowGainFactor = 16. ; // adjusted for a low gain range of 82 GeV (10 bits)
85 fOrder = 2; // order of gamma fn
86 fTau = 2.35; // in units of timebin, from CERN 2007 testbeam
87 fNoiseThreshold = 3; // 3 ADC counts is approx. noise level
88 fNPedSamples = 4; // less than this value => likely pedestal samples
89 fRemoveBadChannels = kTRUE; //Remove bad channels before fitting
90 SetFittingAlgorithm(fitAlgo);
92 //Get Mapping RCU files from the AliEMCALRecParam
93 const TObjArray* maps = AliEMCALRecParam::GetMappings();
94 if(!maps) AliFatal("Cannot retrieve ALTRO mappings!!");
96 for(Int_t i = 0; i < 4; i++) {
97 fMapping[i] = (AliAltroMapping*)maps->At(i);
100 //To make sure we match with the geometry in a simulation file,
101 //let's try to get it first. If not, take the default geometry
102 AliRunLoader *rl = AliRunLoader::Instance();
103 if(!rl) AliError("Cannot find RunLoader!");
104 if (rl->GetAliRun() && rl->GetAliRun()->GetDetector("EMCAL")) {
105 fGeom = dynamic_cast<AliEMCAL*>(rl->GetAliRun()->GetDetector("EMCAL"))->GetGeometry();
107 AliInfo(Form("Using default geometry in raw reco"));
108 fGeom = AliEMCALGeometry::GetInstance(AliEMCALGeometry::GetDefaultGeometryName());
111 if(!fGeom) AliFatal(Form("Could not get geometry!"));
115 //____________________________________________________________________________
116 AliEMCALRawUtils::AliEMCALRawUtils(AliEMCALGeometry *pGeometry, fitAlgorithm fitAlgo)
117 : fHighLowGainFactor(0.), fOrder(0), fTau(0.), fNoiseThreshold(0),
118 fNPedSamples(0), fGeom(pGeometry), fOption(""),
119 fRemoveBadChannels(kTRUE),fFittingAlgorithm(0),fRawAnalyzer()
122 // Initialize with the given geometry - constructor required by HLT
123 // HLT does not use/support AliRunLoader(s) instances
124 // This is a minimum intervention solution
125 // Comment by MPloskon@lbl.gov
128 //These are default parameters.
129 //Can be re-set from without with setter functions
130 //Already set in the OCDB and passed via setter in the AliEMCALReconstructor
131 fHighLowGainFactor = 16. ; // adjusted for a low gain range of 82 GeV (10 bits)
132 fOrder = 2; // order of gamma fn
133 fTau = 2.35; // in units of timebin, from CERN 2007 testbeam
134 fNoiseThreshold = 3; // 3 ADC counts is approx. noise level
135 fNPedSamples = 4; // less than this value => likely pedestal samples
136 fRemoveBadChannels = kTRUE; //Remove bad channels before fitting
137 SetFittingAlgorithm(fitAlgo);
140 //Get Mapping RCU files from the AliEMCALRecParam
141 const TObjArray* maps = AliEMCALRecParam::GetMappings();
142 if(!maps) AliFatal("Cannot retrieve ALTRO mappings!!");
144 for(Int_t i = 0; i < 4; i++) {
145 fMapping[i] = (AliAltroMapping*)maps->At(i);
148 if(!fGeom) AliFatal(Form("Could not get geometry!"));
152 //____________________________________________________________________________
153 AliEMCALRawUtils::AliEMCALRawUtils(const AliEMCALRawUtils& rawU)
155 fHighLowGainFactor(rawU.fHighLowGainFactor),
158 fNoiseThreshold(rawU.fNoiseThreshold),
159 fNPedSamples(rawU.fNPedSamples),
161 fOption(rawU.fOption),
162 fRemoveBadChannels(rawU.fRemoveBadChannels),
163 fFittingAlgorithm(rawU.fFittingAlgorithm),
164 fRawAnalyzer(rawU.fRawAnalyzer)
167 fMapping[0] = rawU.fMapping[0];
168 fMapping[1] = rawU.fMapping[1];
169 fMapping[2] = rawU.fMapping[2];
170 fMapping[3] = rawU.fMapping[3];
173 //____________________________________________________________________________
174 AliEMCALRawUtils& AliEMCALRawUtils::operator =(const AliEMCALRawUtils &rawU)
176 //assignment operator
179 fHighLowGainFactor = rawU.fHighLowGainFactor;
180 fOrder = rawU.fOrder;
182 fNoiseThreshold = rawU.fNoiseThreshold;
183 fNPedSamples = rawU.fNPedSamples;
185 fOption = rawU.fOption;
186 fRemoveBadChannels = rawU.fRemoveBadChannels;
187 fFittingAlgorithm = rawU.fFittingAlgorithm;
188 fRawAnalyzer = rawU.fRawAnalyzer;
189 fMapping[0] = rawU.fMapping[0];
190 fMapping[1] = rawU.fMapping[1];
191 fMapping[2] = rawU.fMapping[2];
192 fMapping[3] = rawU.fMapping[3];
199 //____________________________________________________________________________
200 AliEMCALRawUtils::~AliEMCALRawUtils() {
205 //____________________________________________________________________________
206 void AliEMCALRawUtils::Digits2Raw()
208 // convert digits of the current event to raw data
210 AliRunLoader *rl = AliRunLoader::Instance();
211 AliEMCALLoader *loader = dynamic_cast<AliEMCALLoader*>(rl->GetDetectorLoader("EMCAL"));
214 loader->LoadDigits("EMCAL");
216 TClonesArray* digits = loader->Digits() ;
219 Warning("Digits2Raw", "no digits found !");
223 static const Int_t nDDL = 12*2; // 12 SM hardcoded for now. Buffers allocated dynamically, when needed, so just need an upper limit here
224 AliAltroBuffer* buffers[nDDL];
225 for (Int_t i=0; i < nDDL; i++)
228 TArrayI adcValuesLow(fgTimeBins);
229 TArrayI adcValuesHigh(fgTimeBins);
231 // loop over digits (assume ordered digits)
232 for (Int_t iDigit = 0; iDigit < digits->GetEntries(); iDigit++) {
233 AliEMCALDigit* digit = dynamic_cast<AliEMCALDigit *>(digits->At(iDigit)) ;
234 if (digit->GetAmp() < fgThreshold)
244 fGeom->GetCellIndex(digit->GetId(), nSM, nModule, nIphi, nIeta);
245 fGeom->GetCellPhiEtaIndexInSModule(nSM, nModule, nIphi, nIeta,iphi, ieta) ;
247 //Check which is the RCU, 0 or 1, of the cell.
250 if (0<=iphi&&iphi<8) iRCU=0; // first cable row
251 else if (8<=iphi&&iphi<16 && 0<=ieta&&ieta<24) iRCU=0; // first half;
254 else if(8<=iphi&&iphi<16 && 24<=ieta&&ieta<48) iRCU=1; // second half;
256 else if(16<=iphi&&iphi<24) iRCU=1; // third cable row
258 if (nSM%2==1) iRCU = 1 - iRCU; // swap for odd=C side, to allow us to cable both sides the same
261 Fatal("Digits2Raw()","Non-existent RCU number: %d", iRCU);
264 Int_t iDDL = fgDDLPerSuperModule* nSM + iRCU;
266 Fatal("Digits2Raw()","Non-existent DDL board number: %d", iDDL);
268 if (buffers[iDDL] == 0) {
269 // open new file and write dummy header
270 TString fileName = AliDAQ::DdlFileName("EMCAL",iDDL);
271 //Select mapping file RCU0A, RCU0C, RCU1A, RCU1C
272 Int_t iRCUside=iRCU+(nSM%2)*2;
273 //iRCU=0 and even (0) SM -> RCU0A.data 0
274 //iRCU=1 and even (0) SM -> RCU1A.data 1
275 //iRCU=0 and odd (1) SM -> RCU0C.data 2
276 //iRCU=1 and odd (1) SM -> RCU1C.data 3
277 //cout<<" nSM "<<nSM<<"; iRCU "<<iRCU<<"; iRCUside "<<iRCUside<<endl;
278 buffers[iDDL] = new AliAltroBuffer(fileName.Data(),fMapping[iRCUside]);
279 buffers[iDDL]->WriteDataHeader(kTRUE, kFALSE); //Dummy;
282 // out of time range signal (?)
283 if (digit->GetTimeR() > GetRawFormatTimeMax() ) {
284 AliInfo("Signal is out of time range.\n");
285 buffers[iDDL]->FillBuffer((Int_t)digit->GetAmp());
286 buffers[iDDL]->FillBuffer(GetRawFormatTimeBins() ); // time bin
287 buffers[iDDL]->FillBuffer(3); // bunch length
288 buffers[iDDL]->WriteTrailer(3, ieta, iphi, nSM); // trailer
289 // calculate the time response function
291 Bool_t lowgain = RawSampledResponse(digit->GetTimeR(), digit->GetAmp(), adcValuesHigh.GetArray(), adcValuesLow.GetArray()) ;
293 buffers[iDDL]->WriteChannel(ieta, iphi, 0, GetRawFormatTimeBins(), adcValuesLow.GetArray(), fgThreshold);
295 buffers[iDDL]->WriteChannel(ieta,iphi, 1, GetRawFormatTimeBins(), adcValuesHigh.GetArray(), fgThreshold);
299 // write headers and close files
300 for (Int_t i=0; i < nDDL; i++) {
303 buffers[i]->WriteDataHeader(kFALSE, kFALSE);
308 loader->UnloadDigits();
311 //____________________________________________________________________________
312 void AliEMCALRawUtils::Raw2Digits(AliRawReader* reader,TClonesArray *digitsArr, const AliCaloCalibPedestal* pedbadmap)
314 // convert raw data of the current event to digits
319 Error("Raw2Digits", "no digits found !");
323 Error("Raw2Digits", "no raw reader found !");
327 AliCaloRawStreamV3 in(reader,"EMCAL",fMapping);
328 // Select EMCAL DDL's;
329 reader->Select("EMCAL",0,43); // 43 = AliEMCALGeoParams::fgkLastAltroDDL
331 // fRawAnalyzer setup
332 fRawAnalyzer->SetAmpCut(fNoiseThreshold);
333 fRawAnalyzer->SetFitArrayCut(fNoiseThreshold);
334 fRawAnalyzer->SetIsZeroSuppressed(true); // TMP - should use stream->IsZeroSuppressed(), or altro cfg registers later
336 // channel info parameters
338 Int_t caloFlag = 0; // low, high gain, or TRU, or LED ref.
340 // start loop over input stream
341 while (in.NextDDL()) {
342 while (in.NextChannel()) {
344 //Check if the signal is high or low gain and then do the fit,
345 //if it is from TRU or LEDMon do not fit
346 caloFlag = in.GetCaloFlag();
347 if (caloFlag != 0 && caloFlag != 1) continue;
349 //Do not fit bad channels
350 if(fRemoveBadChannels && pedbadmap->IsBadChannel(in.GetModule(),in.GetColumn(),in.GetRow())) {
351 //printf("Tower from SM %d, column %d, row %d is BAD!!! Skip \n", in.GetModule(),in.GetColumn(),in.GetRow());
355 vector<AliCaloBunchInfo> bunchlist;
356 while (in.NextBunch()) {
357 bunchlist.push_back( AliCaloBunchInfo(in.GetStartTimeBin(), in.GetBunchLength(), in.GetSignals() ) );
358 } // loop over bunches
363 if ( fFittingAlgorithm == kFastFit || fFittingAlgorithm == kNeuralNet || fFittingAlgorithm == kLMS || fFittingAlgorithm == kPeakFinder || fFittingAlgorithm == kCrude) {
364 // all functionality to determine amp and time etc is encapsulated inside the Evaluate call for these methods
365 AliCaloFitResults fitResults = fRawAnalyzer->Evaluate( bunchlist, in.GetAltroCFG1(), in.GetAltroCFG2());
367 amp = fitResults.GetAmp();
368 time = fitResults.GetTof();
370 else { // for the other methods we for now use the functionality of
371 // AliCaloRawAnalyzer as well, to select samples and prepare for fits,
372 // if it looks like there is something to fit
375 Float_t ampEstimate = 0;
377 short timeEstimate = 0;
378 Float_t pedEstimate = 0;
381 Int_t bunchIndex = 0;
383 // The PreFitEvaluateSamples + later call to FitRaw will hopefully
384 // be replaced by a single Evaluate call or so soon, like for the other
385 // methods, but this should be good enough for evaluation of
386 // the methods for now (Jan. 2010)
388 int nsamples = fRawAnalyzer->PreFitEvaluateSamples( bunchlist, in.GetAltroCFG1(), in.GetAltroCFG2(), bunchIndex, ampEstimate, maxADC, timeEstimate, pedEstimate, first, last);
390 if (ampEstimate > fNoiseThreshold) { // something worth looking at
395 if ( nsamples > 1 ) { // possibly something to fit
396 FitRaw(first, last, amp, time);
399 if ( amp>0 && time>0 ) { // brief sanity check of fit results
401 // check fit results: should be consistent with initial estimates
402 // more magic numbers, but very loose cuts, for now..
403 // We have checked that amp and ampEstimate values are positive so division for assymmetry
404 // calculation should be OK/safe
405 Float_t ampAsymm = (amp - ampEstimate)/(amp + ampEstimate);
406 if ( (TMath::Abs(ampAsymm) > 0.1) ) {
407 AliDebug(2,Form("Fit results amp %f time %f not consistent with expectations ped %f max-ped %f time %d",
408 amp, time, pedEstimate, ampEstimate, timeEstimate));
410 // what should do we do then? skip this channel or assign the simple estimate?
411 // for now just overwrite the fit results with the simple estimate
415 } // amp & time check
416 } // ampEstimate check
417 } // method selection
419 if (amp > fNoiseThreshold) { // something to be stored
420 Int_t id = fGeom->GetAbsCellIdFromCellIndexes(in.GetModule(), in.GetRow(), in.GetColumn()) ;
421 lowGain = in.IsLowGain();
423 // go from time-bin units to physical time fgtimetrigger
424 time = time * GetRawFormatTimeBinWidth(); // skip subtraction of fgTimeTrigger?
426 AliDebug(2,Form("id %d lowGain %d amp %g", id, lowGain, amp));
427 // printf("Added tower: SM %d, row %d, column %d, amp %3.2f\n",in.GetModule(), in.GetRow(), in.GetColumn(),amp);
428 // round off amplitude value to nearest integer
429 AddDigit(digitsArr, id, lowGain, TMath::Nint(amp), time);
432 } // end while over channel
433 } //end while over DDL's, of input stream
438 //____________________________________________________________________________
439 void AliEMCALRawUtils::AddDigit(TClonesArray *digitsArr, Int_t id, Int_t lowGain, Int_t amp, Float_t time) {
442 // This routine checks whether a digit exists already for this tower
443 // and then decides whether to use the high or low gain info
445 // Called by Raw2Digits
447 AliEMCALDigit *digit = 0, *tmpdigit = 0;
448 TIter nextdigit(digitsArr);
449 while (digit == 0 && (tmpdigit = (AliEMCALDigit*) nextdigit())) {
450 if (tmpdigit->GetId() == id)
454 if (!digit) { // no digit existed for this tower; create one
455 if (lowGain && amp > fgkOverflowCut)
456 amp = Int_t(fHighLowGainFactor * amp);
457 Int_t idigit = digitsArr->GetEntries();
458 new((*digitsArr)[idigit]) AliEMCALDigit( -1, -1, id, amp, time, idigit) ;
460 else { // a digit already exists, check range
461 // (use high gain if signal < cut value, otherwise low gain)
462 if (lowGain) { // new digit is low gain
463 if (digit->GetAmp() > fgkOverflowCut) { // use if stored digit is out of range
464 digit->SetAmp(Int_t(fHighLowGainFactor * amp));
465 digit->SetTime(time);
468 else if (amp < fgkOverflowCut) { // new digit is high gain; use if not out of range
470 digit->SetTime(time);
475 //____________________________________________________________________________
476 void AliEMCALRawUtils::FitRaw(const Int_t firstTimeBin, const Int_t lastTimeBin, Float_t & amp, Float_t & time) const
477 { // Fits the raw signal time distribution
479 //--------------------------------------------------
480 //Do the fit, different fitting algorithms available
481 //--------------------------------------------------
482 int nsamples = lastTimeBin - firstTimeBin + 1;
484 switch(fFittingAlgorithm) {
487 if (nsamples < 3) { return; } // nothing much to fit
488 //printf("Standard fitter \n");
490 // Create Graph to hold data we will fit
491 TGraph *gSig = new TGraph( nsamples);
492 for (int i=0; i<nsamples; i++) {
493 Int_t timebin = firstTimeBin + i;
494 gSig->SetPoint(timebin, timebin, fRawAnalyzer->GetReversed(timebin));
497 TF1 * signalF = new TF1("signal", RawResponseFunction, 0, GetRawFormatTimeBins(), 5);
498 signalF->SetParameters(10.,5.,fTau,fOrder,0.); //set all defaults once, just to be safe
499 signalF->SetParNames("amp","t0","tau","N","ped");
500 signalF->FixParameter(2,fTau); // tau in units of time bin
501 signalF->FixParameter(3,fOrder); // order
502 signalF->FixParameter(4, 0); // pedestal should be subtracted when we get here
503 signalF->SetParameter(1, time);
504 signalF->SetParameter(0, amp);
506 gSig->Fit(signalF, "QROW"); // Note option 'W': equal errors on all points
508 // assign fit results
509 amp = signalF->GetParameter(0);
510 time = signalF->GetParameter(1);
514 // cross-check with ParabolaFit to see if the results make sense
515 FitParabola(gSig, amp); // amp is possibly updated
517 //printf("Std : Amp %f, time %g\n",amp, time);
518 delete gSig; // delete TGraph
522 //----------------------------
525 if (nsamples < 3) { return; } // nothing much to fit
526 //printf("LogFit \n");
528 // Create Graph to hold data we will fit
529 TGraph *gSigLog = new TGraph( nsamples);
530 for (int i=0; i<nsamples; i++) {
531 Int_t timebin = firstTimeBin + i;
532 gSigLog->SetPoint(timebin, timebin, TMath::Log(fRawAnalyzer->GetReversed(timebin) ) );
535 TF1 * signalFLog = new TF1("signalLog", RawResponseFunctionLog, 0, GetRawFormatTimeBins(), 5);
536 signalFLog->SetParameters(2.3, 5.,fTau,fOrder,0.); //set all defaults once, just to be safe
537 signalFLog->SetParNames("amplog","t0","tau","N","ped");
538 signalFLog->FixParameter(2,fTau); // tau in units of time bin
539 signalFLog->FixParameter(3,fOrder); // order
540 signalFLog->FixParameter(4, 0); // pedestal should be subtracted when we get here
541 signalFLog->SetParameter(1, time);
543 signalFLog->SetParameter(0, TMath::Log(amp));
546 gSigLog->Fit(signalFLog, "QROW"); // Note option 'W': equal errors on all points
548 // assign fit results
549 Double_t amplog = signalFLog->GetParameter(0); //Not Amp, but Log of Amp
550 amp = TMath::Exp(amplog);
551 time = signalFLog->GetParameter(1);
554 //printf("LogFit: Amp %f, time %g\n",amp, time);
558 //----------------------------
560 //----------------------------
561 }//switch fitting algorithms
566 //__________________________________________________________________
567 void AliEMCALRawUtils::FitParabola(const TGraph *gSig, Float_t & amp) const
569 //BEG YS alternative methods to calculate the amplitude
570 Double_t * ymx = gSig->GetX() ;
571 Double_t * ymy = gSig->GetY() ;
573 Double_t ymMaxX[kN] = {0., 0., 0.} ;
574 Double_t ymMaxY[kN] = {0., 0., 0.} ;
576 // find the maximum amplitude
578 for (Int_t ymi = 0; ymi < gSig->GetN(); ymi++) {
579 if (ymy[ymi] > ymMaxY[0] ) {
580 ymMaxY[0] = ymy[ymi] ; //<========== This is the maximum amplitude
581 ymMaxX[0] = ymx[ymi] ;
585 // find the maximum by fitting a parabola through the max and the two adjacent samples
586 if ( ymiMax < gSig->GetN()-1 && ymiMax > 0) {
587 ymMaxY[1] = ymy[ymiMax+1] ;
588 ymMaxY[2] = ymy[ymiMax-1] ;
589 ymMaxX[1] = ymx[ymiMax+1] ;
590 ymMaxX[2] = ymx[ymiMax-1] ;
591 if (ymMaxY[0]*ymMaxY[1]*ymMaxY[2] > 0) {
592 //fit a parabola through the 3 points y= a+bx+x*x*x
600 for (Int_t i = 0; i < kN ; i++) {
603 sx2 += ymMaxX[i]*ymMaxX[i] ;
604 sx3 += ymMaxX[i]*ymMaxX[i]*ymMaxX[i] ;
605 sx4 += ymMaxX[i]*ymMaxX[i]*ymMaxX[i]*ymMaxX[i] ;
606 sxy += ymMaxX[i]*ymMaxY[i] ;
607 sx2y += ymMaxX[i]*ymMaxX[i]*ymMaxY[i] ;
609 Double_t cN = (sx2y*kN-sy*sx2)*(sx3*sx-sx2*sx2)-(sx2y*sx-sxy*sx2)*(sx3*kN-sx*sx2);
610 Double_t cD = (sx4*kN-sx2*sx2)*(sx3*sx-sx2*sx2)-(sx4*sx-sx3*sx2)*(sx3*kN-sx*sx2) ;
611 Double_t c = cN / cD ;
612 Double_t b = ((sx2y*kN-sy*sx2)-c*(sx4*kN-sx2*sx2))/(sx3*kN-sx*sx2) ;
613 Double_t a = (sy-b*sx-c*sx2)/kN ;
614 Double_t xmax = -b/(2*c) ;
615 ymax = a + b*xmax + c*xmax*xmax ;//<========== This is the maximum amplitude
619 Double_t diff = TMath::Abs(1-ymMaxY[0]/amp) ;
622 //printf("Yves : Amp %f, time %g\n",amp, time);
627 //__________________________________________________________________
628 Double_t AliEMCALRawUtils::RawResponseFunction(Double_t *x, Double_t *par)
630 // Matches version used in 2007 beam test
632 // Shape of the electronics raw reponse:
633 // It is a semi-gaussian, 2nd order Gamma function of the general form
635 // xx = (t - t0 + tau) / tau [xx is just a convenient help variable]
636 // F = A * (xx**N * exp( N * ( 1 - xx) ) for xx >= 0
640 // A: par[0] // Amplitude = peak value
647 Double_t tau =par[2];
649 Double_t ped = par[4];
650 Double_t xx = ( x[0] - par[1] + tau ) / tau ;
655 signal = ped + par[0] * TMath::Power(xx , n) * TMath::Exp(n * (1 - xx )) ;
660 //__________________________________________________________________
661 Double_t AliEMCALRawUtils::RawResponseFunctionLog(Double_t *x, Double_t *par)
663 // Matches version used in 2007 beam test
665 // Shape of the electronics raw reponse:
666 // It is a semi-gaussian, 2nd order Gamma function of the general form
668 // xx = (t - t0 + tau) / tau [xx is just a convenient help variable]
669 // F = A * (xx**N * exp( N * ( 1 - xx) ) for xx >= 0
673 // Log[A]: par[0] // Amplitude = peak value
680 Double_t tau =par[2];
682 //Double_t ped = par[4]; // not used
683 Double_t xx = ( x[0] - par[1] + tau ) / tau ;
686 signal = par[0] - n*TMath::Log(TMath::Abs(xx)) + n * (1 - xx ) ;
688 signal = par[0] + n*TMath::Log(xx) + n * (1 - xx ) ;
693 //__________________________________________________________________
694 Bool_t AliEMCALRawUtils::RawSampledResponse(const Double_t dtime, const Double_t damp, Int_t * adcH, Int_t * adcL, const Int_t keyErr) const
696 // for a start time dtime and an amplitude damp given by digit,
697 // calculates the raw sampled response AliEMCAL::RawResponseFunction
699 Bool_t lowGain = kFALSE ;
701 // A: par[0] // Amplitude = peak value
707 TF1 signalF("signal", RawResponseFunction, 0, GetRawFormatTimeBins(), 5);
708 signalF.SetParameter(0, damp) ;
709 signalF.SetParameter(1, (dtime + fgTimeTrigger)/fgTimeBinWidth) ;
710 signalF.SetParameter(2, fTau) ;
711 signalF.SetParameter(3, fOrder);
712 signalF.SetParameter(4, fgPedestalValue);
714 Double_t signal=0.0, noise=0.0;
715 for (Int_t iTime = 0; iTime < GetRawFormatTimeBins(); iTime++) {
716 signal = signalF.Eval(iTime) ;
718 // Next lines commeted for the moment but in principle it is not necessary to add
719 // extra noise since noise already added at the digits level.
721 //According to Terry Awes, 13-Apr-2008
722 //add gaussian noise in quadrature to each sample
723 //Double_t noise = gRandom->Gaus(0.,fgFEENoise);
724 //signal = sqrt(signal*signal + noise*noise);
726 // March 17,09 for fast fit simulations by Alexei Pavlinov.
727 // Get from PHOS analysis. In some sense it is open questions.
729 noise = gRandom->Gaus(0.,fgFEENoise);
733 adcH[iTime] = static_cast<Int_t>(signal + 0.5) ;
734 if ( adcH[iTime] > fgkRawSignalOverflow ){ // larger than 10 bits
735 adcH[iTime] = fgkRawSignalOverflow ;
739 signal /= fHighLowGainFactor;
741 adcL[iTime] = static_cast<Int_t>(signal + 0.5) ;
742 if ( adcL[iTime] > fgkRawSignalOverflow) // larger than 10 bits
743 adcL[iTime] = fgkRawSignalOverflow ;
748 //__________________________________________________________________
749 void AliEMCALRawUtils::SetFittingAlgorithm(Int_t fitAlgo)
751 //Set fitting algorithm and initialize it if this same algorithm was not set before.
753 if(fitAlgo == fFittingAlgorithm && fRawAnalyzer) {
754 //Do nothing, this same algorithm already set before.
755 //printf("**** Algorithm already set before, number %d, %s ****\n",fitAlgo, fRawAnalyzer->GetName());
758 //Initialize the requested algorithm
759 if(fitAlgo != fFittingAlgorithm || !fRawAnalyzer) {
760 //printf("**** Init Algorithm , number %d ****\n",fitAlgo);
762 fFittingAlgorithm = fitAlgo;
763 if (fRawAnalyzer) delete fRawAnalyzer; // delete prev. analyzer if existed.
765 if (fitAlgo == kFastFit) {
766 fRawAnalyzer = new AliCaloRawAnalyzerFastFit();
768 else if (fitAlgo == kNeuralNet) {
769 fRawAnalyzer = new AliCaloRawAnalyzerNN();
771 else if (fitAlgo == kLMS) {
772 fRawAnalyzer = new AliCaloRawAnalyzerLMS();
774 else if (fitAlgo == kPeakFinder) {
775 fRawAnalyzer = new AliCaloRawAnalyzerPeakFinder();
777 else if (fitAlgo == kCrude) {
778 fRawAnalyzer = new AliCaloRawAnalyzerCrude();
781 fRawAnalyzer = new AliCaloRawAnalyzer();