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ee299369 1/**************************************************************************
2 * Copyright(c) 1998-1999, ALICE Experiment at CERN, All rights reserved. *
3 * *
4 * Author: The ALICE Off-line Project. *
5 * Contributors are mentioned in the code where appropriate. *
6 * *
7 * Permission to use, copy, modify and distribute this software and its *
8 * documentation strictly for non-commercial purposes is hereby granted *
9 * without fee, provided that the above copyright notice appears in all *
10 * copies and that both the copyright notice and this permission notice *
11 * appear in the supporting documentation. The authors make no claims *
12 * about the suitability of this software for any purpose. It is *
13 * provided "as is" without express or implied warranty. *
14 **************************************************************************/
15
16/* $Id$ */
ee299369 17
e5bbbc4e 18//_________________________________________________________________________
19// Utility Class for handling Raw data
20// Does all transitions from Digits to Raw and vice versa,
21// for simu and reconstruction
22//
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.
ee299369 27//*-- Author: Marco van Leeuwen (LBL)
e5bbbc4e 28
ee299369 29#include "AliEMCALRawUtils.h"
21cad85c 30
4fe71e02 31#include "TF1.h"
32#include "TGraph.h"
6751f762 33#include <TRandom.h>
e5bbbc4e 34class TSystem;
21cad85c 35
e5bbbc4e 36class AliLog;
72c58de0 37#include "AliRun.h"
ee299369 38#include "AliRunLoader.h"
e5bbbc4e 39class AliCaloAltroMapping;
ee299369 40#include "AliAltroBuffer.h"
41#include "AliRawReader.h"
32cd4c24 42#include "AliCaloRawStreamV3.h"
ee299369 43#include "AliDAQ.h"
21cad85c 44
feedcab9 45#include "AliEMCALRecParam.h"
ee299369 46#include "AliEMCALLoader.h"
47#include "AliEMCALGeometry.h"
e5bbbc4e 48class AliEMCALDigitizer;
ee299369 49#include "AliEMCALDigit.h"
916f1e76 50#include "AliEMCALRawDigit.h"
20b636fc 51#include "AliEMCAL.h"
5e3106bc 52#include "AliCaloCalibPedestal.h"
9f467289 53#include "AliCaloFastAltroFitv0.h"
c8603a2b 54#include "AliCaloNeuralFit.h"
16605c06 55#include "AliCaloBunchInfo.h"
56#include "AliCaloFitResults.h"
7683df1d 57#include "AliCaloRawAnalyzerFastFit.h"
58#include "AliCaloRawAnalyzerNN.h"
16605c06 59#include "AliCaloRawAnalyzerLMS.h"
60#include "AliCaloRawAnalyzerPeakFinder.h"
61#include "AliCaloRawAnalyzerCrude.h"
9f467289 62
ee299369 63ClassImp(AliEMCALRawUtils)
21cad85c 64
ee299369 65// Signal shape parameters
89d338a6 66Int_t AliEMCALRawUtils::fgTimeBins = 256; // number of sampling bins of the raw RO signal (we typically use 15-50; theoretical max is 1k+)
e5bbbc4e 67Double_t AliEMCALRawUtils::fgTimeBinWidth = 100E-9 ; // each sample is 100 ns
09974781 68Double_t AliEMCALRawUtils::fgTimeTrigger = 1.5E-6 ; // 15 time bins ~ 1.5 musec
ee299369 69
70// some digitization constants
71Int_t AliEMCALRawUtils::fgThreshold = 1;
72Int_t AliEMCALRawUtils::fgDDLPerSuperModule = 2; // 2 ddls per SuperModule
916f1e76 73Int_t AliEMCALRawUtils::fgPedestalValue = 0; // pedestal value for digits2raw, default generate ZS data
e5bbbc4e 74Double_t AliEMCALRawUtils::fgFEENoise = 3.; // 3 ADC channels of noise (sampled)
ee299369 75
16605c06 76AliEMCALRawUtils::AliEMCALRawUtils(fitAlgorithm fitAlgo)
b4133f05 77 : fHighLowGainFactor(0.), fOrder(0), fTau(0.), fNoiseThreshold(0),
9f467289 78 fNPedSamples(0), fGeom(0), fOption(""),
46f1d25f 79 fRemoveBadChannels(kTRUE),fFittingAlgorithm(0),fUseFALTRO(kFALSE),fRawAnalyzer(0)
8cb998bd 80{
b4133f05 81
82 //These are default parameters.
83 //Can be re-set from without with setter functions
9f467289 84 //Already set in the OCDB and passed via setter in the AliEMCALReconstructor
46f1d25f 85 fHighLowGainFactor = 16. ; // Adjusted for a low gain range of 82 GeV (10 bits)
86 fOrder = 2; // Order of gamma fn
87 fTau = 2.35; // in units of timebin, from CERN 2007 testbeam
88 fNoiseThreshold = 3; // 3 ADC counts is approx. noise level
89 fNPedSamples = 4; // Less than this value => likely pedestal samples
90 fRemoveBadChannels = kFALSE; // Do not remove bad channels before fitting
91 fUseFALTRO = kTRUE; // Get the trigger FALTRO information and pass it to digits.
4fe71e02 92 SetFittingAlgorithm(fitAlgo);
16605c06 93
65bdc82f 94 //Get Mapping RCU files from the AliEMCALRecParam
95 const TObjArray* maps = AliEMCALRecParam::GetMappings();
96 if(!maps) AliFatal("Cannot retrieve ALTRO mappings!!");
97
21cad85c 98 for(Int_t i = 0; i < 4; i++) {
65bdc82f 99 fMapping[i] = (AliAltroMapping*)maps->At(i);
100 }
101
72c58de0 102 //To make sure we match with the geometry in a simulation file,
103 //let's try to get it first. If not, take the default geometry
33c3c91a 104 AliRunLoader *rl = AliRunLoader::Instance();
916f1e76 105 if (rl && rl->GetAliRun() && rl->GetAliRun()->GetDetector("EMCAL")) {
72c58de0 106 fGeom = dynamic_cast<AliEMCAL*>(rl->GetAliRun()->GetDetector("EMCAL"))->GetGeometry();
107 } else {
108 AliInfo(Form("Using default geometry in raw reco"));
937d0661 109 fGeom = AliEMCALGeometry::GetInstance(AliEMCALGeometry::GetDefaultGeometryName());
65bdc82f 110 }
111
72c58de0 112 if(!fGeom) AliFatal(Form("Could not get geometry!"));
113
65bdc82f 114}
115
116//____________________________________________________________________________
16605c06 117AliEMCALRawUtils::AliEMCALRawUtils(AliEMCALGeometry *pGeometry, fitAlgorithm fitAlgo)
5544799a 118 : fHighLowGainFactor(0.), fOrder(0), fTau(0.), fNoiseThreshold(0),
9f467289 119 fNPedSamples(0), fGeom(pGeometry), fOption(""),
46f1d25f 120 fRemoveBadChannels(kTRUE),fFittingAlgorithm(0),fUseFALTRO(kFALSE),fRawAnalyzer()
5544799a 121{
122 //
123 // Initialize with the given geometry - constructor required by HLT
124 // HLT does not use/support AliRunLoader(s) instances
125 // This is a minimum intervention solution
126 // Comment by MPloskon@lbl.gov
127 //
128
129 //These are default parameters.
130 //Can be re-set from without with setter functions
9f467289 131 //Already set in the OCDB and passed via setter in the AliEMCALReconstructor
46f1d25f 132 fHighLowGainFactor = 16. ; // adjusted for a low gain range of 82 GeV (10 bits)
133 fOrder = 2; // order of gamma fn
134 fTau = 2.35; // in units of timebin, from CERN 2007 testbeam
135 fNoiseThreshold = 3; // 3 ADC counts is approx. noise level
136 fNPedSamples = 4; // Less than this value => likely pedestal samples
137 fRemoveBadChannels = kFALSE; // Do not remove bad channels before fitting
138 fUseFALTRO = kTRUE; // Get the trigger FALTRO information and pass it to digits.
4fe71e02 139 SetFittingAlgorithm(fitAlgo);
46f1d25f 140
5544799a 141 //Get Mapping RCU files from the AliEMCALRecParam
142 const TObjArray* maps = AliEMCALRecParam::GetMappings();
143 if(!maps) AliFatal("Cannot retrieve ALTRO mappings!!");
144
21cad85c 145 for(Int_t i = 0; i < 4; i++) {
5544799a 146 fMapping[i] = (AliAltroMapping*)maps->At(i);
147 }
148
149 if(!fGeom) AliFatal(Form("Could not get geometry!"));
150
151}
152
153//____________________________________________________________________________
65bdc82f 154AliEMCALRawUtils::AliEMCALRawUtils(const AliEMCALRawUtils& rawU)
155 : TObject(),
156 fHighLowGainFactor(rawU.fHighLowGainFactor),
b4133f05 157 fOrder(rawU.fOrder),
158 fTau(rawU.fTau),
159 fNoiseThreshold(rawU.fNoiseThreshold),
160 fNPedSamples(rawU.fNPedSamples),
65bdc82f 161 fGeom(rawU.fGeom),
9f467289 162 fOption(rawU.fOption),
163 fRemoveBadChannels(rawU.fRemoveBadChannels),
16605c06 164 fFittingAlgorithm(rawU.fFittingAlgorithm),
46f1d25f 165 fUseFALTRO(rawU.fUseFALTRO),
16605c06 166 fRawAnalyzer(rawU.fRawAnalyzer)
65bdc82f 167{
168 //copy ctor
169 fMapping[0] = rawU.fMapping[0];
170 fMapping[1] = rawU.fMapping[1];
21cad85c 171 fMapping[2] = rawU.fMapping[2];
172 fMapping[3] = rawU.fMapping[3];
65bdc82f 173}
174
175//____________________________________________________________________________
176AliEMCALRawUtils& AliEMCALRawUtils::operator =(const AliEMCALRawUtils &rawU)
177{
178 //assignment operator
179
180 if(this != &rawU) {
181 fHighLowGainFactor = rawU.fHighLowGainFactor;
46f1d25f 182 fOrder = rawU.fOrder;
183 fTau = rawU.fTau;
184 fNoiseThreshold = rawU.fNoiseThreshold;
185 fNPedSamples = rawU.fNPedSamples;
186 fGeom = rawU.fGeom;
187 fOption = rawU.fOption;
9f467289 188 fRemoveBadChannels = rawU.fRemoveBadChannels;
189 fFittingAlgorithm = rawU.fFittingAlgorithm;
46f1d25f 190 fUseFALTRO = rawU.fUseFALTRO;
191 fRawAnalyzer = rawU.fRawAnalyzer;
192 fMapping[0] = rawU.fMapping[0];
193 fMapping[1] = rawU.fMapping[1];
194 fMapping[2] = rawU.fMapping[2];
195 fMapping[3] = rawU.fMapping[3];
65bdc82f 196 }
197
198 return *this;
199
ee299369 200}
65bdc82f 201
ee299369 202//____________________________________________________________________________
203AliEMCALRawUtils::~AliEMCALRawUtils() {
e5bbbc4e 204 //dtor
65bdc82f 205
ee299369 206}
65bdc82f 207
ee299369 208//____________________________________________________________________________
65bdc82f 209void AliEMCALRawUtils::Digits2Raw()
ee299369 210{
211 // convert digits of the current event to raw data
212
33c3c91a 213 AliRunLoader *rl = AliRunLoader::Instance();
ee299369 214 AliEMCALLoader *loader = dynamic_cast<AliEMCALLoader*>(rl->GetDetectorLoader("EMCAL"));
215
216 // get the digits
217 loader->LoadDigits("EMCAL");
218 loader->GetEvent();
219 TClonesArray* digits = loader->Digits() ;
220
221 if (!digits) {
222 Warning("Digits2Raw", "no digits found !");
223 return;
224 }
65bdc82f 225
ee299369 226 static const Int_t nDDL = 12*2; // 12 SM hardcoded for now. Buffers allocated dynamically, when needed, so just need an upper limit here
227 AliAltroBuffer* buffers[nDDL];
228 for (Int_t i=0; i < nDDL; i++)
229 buffers[i] = 0;
230
e2c2134b 231 TArrayI adcValuesLow(fgTimeBins);
232 TArrayI adcValuesHigh(fgTimeBins);
ee299369 233
ee299369 234 // loop over digits (assume ordered digits)
235 for (Int_t iDigit = 0; iDigit < digits->GetEntries(); iDigit++) {
236 AliEMCALDigit* digit = dynamic_cast<AliEMCALDigit *>(digits->At(iDigit)) ;
237 if (digit->GetAmp() < fgThreshold)
238 continue;
239
240 //get cell indices
241 Int_t nSM = 0;
242 Int_t nIphi = 0;
243 Int_t nIeta = 0;
244 Int_t iphi = 0;
245 Int_t ieta = 0;
246 Int_t nModule = 0;
65bdc82f 247 fGeom->GetCellIndex(digit->GetId(), nSM, nModule, nIphi, nIeta);
248 fGeom->GetCellPhiEtaIndexInSModule(nSM, nModule, nIphi, nIeta,iphi, ieta) ;
ee299369 249
21cad85c 250 //Check which is the RCU, 0 or 1, of the cell.
ee299369 251 Int_t iRCU = -111;
252 //RCU0
253 if (0<=iphi&&iphi<8) iRCU=0; // first cable row
254 else if (8<=iphi&&iphi<16 && 0<=ieta&&ieta<24) iRCU=0; // first half;
255 //second cable row
256 //RCU1
257 else if(8<=iphi&&iphi<16 && 24<=ieta&&ieta<48) iRCU=1; // second half;
258 //second cable row
259 else if(16<=iphi&&iphi<24) iRCU=1; // third cable row
21cad85c 260
261 if (nSM%2==1) iRCU = 1 - iRCU; // swap for odd=C side, to allow us to cable both sides the same
262
e36e3bcf 263 if (iRCU<0)
264 Fatal("Digits2Raw()","Non-existent RCU number: %d", iRCU);
ee299369 265
266 //Which DDL?
267 Int_t iDDL = fgDDLPerSuperModule* nSM + iRCU;
268 if (iDDL >= nDDL)
269 Fatal("Digits2Raw()","Non-existent DDL board number: %d", iDDL);
270
271 if (buffers[iDDL] == 0) {
272 // open new file and write dummy header
273 TString fileName = AliDAQ::DdlFileName("EMCAL",iDDL);
21cad85c 274 //Select mapping file RCU0A, RCU0C, RCU1A, RCU1C
275 Int_t iRCUside=iRCU+(nSM%2)*2;
276 //iRCU=0 and even (0) SM -> RCU0A.data 0
277 //iRCU=1 and even (0) SM -> RCU1A.data 1
278 //iRCU=0 and odd (1) SM -> RCU0C.data 2
279 //iRCU=1 and odd (1) SM -> RCU1C.data 3
280 //cout<<" nSM "<<nSM<<"; iRCU "<<iRCU<<"; iRCUside "<<iRCUside<<endl;
281 buffers[iDDL] = new AliAltroBuffer(fileName.Data(),fMapping[iRCUside]);
ee299369 282 buffers[iDDL]->WriteDataHeader(kTRUE, kFALSE); //Dummy;
283 }
284
285 // out of time range signal (?)
286 if (digit->GetTimeR() > GetRawFormatTimeMax() ) {
287 AliInfo("Signal is out of time range.\n");
288 buffers[iDDL]->FillBuffer((Int_t)digit->GetAmp());
289 buffers[iDDL]->FillBuffer(GetRawFormatTimeBins() ); // time bin
290 buffers[iDDL]->FillBuffer(3); // bunch length
291 buffers[iDDL]->WriteTrailer(3, ieta, iphi, nSM); // trailer
292 // calculate the time response function
293 } else {
e2c2134b 294 Bool_t lowgain = RawSampledResponse(digit->GetTimeR(), digit->GetAmp(), adcValuesHigh.GetArray(), adcValuesLow.GetArray()) ;
ee299369 295 if (lowgain)
e2c2134b 296 buffers[iDDL]->WriteChannel(ieta, iphi, 0, GetRawFormatTimeBins(), adcValuesLow.GetArray(), fgThreshold);
ee299369 297 else
e2c2134b 298 buffers[iDDL]->WriteChannel(ieta,iphi, 1, GetRawFormatTimeBins(), adcValuesHigh.GetArray(), fgThreshold);
ee299369 299 }
300 }
301
302 // write headers and close files
303 for (Int_t i=0; i < nDDL; i++) {
304 if (buffers[i]) {
305 buffers[i]->Flush();
306 buffers[i]->WriteDataHeader(kFALSE, kFALSE);
307 delete buffers[i];
308 }
309 }
65bdc82f 310
ee299369 311 loader->UnloadDigits();
312}
313
314//____________________________________________________________________________
916f1e76 315void AliEMCALRawUtils::Raw2Digits(AliRawReader* reader,TClonesArray *digitsArr, const AliCaloCalibPedestal* pedbadmap, TClonesArray *digitsTRG)
ee299369 316{
65bdc82f 317 // convert raw data of the current event to digits
ee299369 318
c47157cd 319 digitsArr->Clear();
ee299369 320
c47157cd 321 if (!digitsArr) {
ee299369 322 Error("Raw2Digits", "no digits found !");
323 return;
324 }
325 if (!reader) {
326 Error("Raw2Digits", "no raw reader found !");
327 return;
328 }
329
32cd4c24 330 AliCaloRawStreamV3 in(reader,"EMCAL",fMapping);
ee299369 331 // Select EMCAL DDL's;
7643e728 332 reader->Select("EMCAL",0,43); // 43 = AliEMCALGeoParams::fgkLastAltroDDL
feedcab9 333
16605c06 334 // fRawAnalyzer setup
f57baa2d 335 fRawAnalyzer->SetNsampleCut(5); // requirement for fits to be done
16605c06 336 fRawAnalyzer->SetAmpCut(fNoiseThreshold);
337 fRawAnalyzer->SetFitArrayCut(fNoiseThreshold);
338 fRawAnalyzer->SetIsZeroSuppressed(true); // TMP - should use stream->IsZeroSuppressed(), or altro cfg registers later
ee299369 339
16605c06 340 // channel info parameters
ee299369 341 Int_t lowGain = 0;
e5bbbc4e 342 Int_t caloFlag = 0; // low, high gain, or TRU, or LED ref.
ee299369 343
32cd4c24 344 // start loop over input stream
345 while (in.NextDDL()) {
916f1e76 346
347// if ( in.GetDDLNumber() != 0 && in.GetDDLNumber() != 2 ) continue;
348
32cd4c24 349 while (in.NextChannel()) {
7643e728 350
916f1e76 351/*
352 Int_t hhwAdd = in.GetHWAddress();
353 UShort_t iiBranch = ( hhwAdd >> 11 ) & 0x1; // 0/1
354 UShort_t iiFEC = ( hhwAdd >> 7 ) & 0xF;
355 UShort_t iiChip = ( hhwAdd >> 4 ) & 0x7;
356 UShort_t iiChannel = hhwAdd & 0xF;
357
358 if ( !( iiBranch == 0 && iiFEC == 1 && iiChip == 3 && ( iiChannel >= 8 && iiChannel <= 15 ) ) && !( iiBranch == 1 && iiFEC == 0 && in.GetColumn() == 0 ) ) continue;
359*/
360
7643e728 361 //Check if the signal is high or low gain and then do the fit,
16605c06 362 //if it is from TRU or LEDMon do not fit
7643e728 363 caloFlag = in.GetCaloFlag();
916f1e76 364// if (caloFlag != 0 && caloFlag != 1) continue;
365 if (caloFlag > 2) continue; // Work with ALTRO and FALTRO
366
367 //Do not fit bad channels of ALTRO
368 if(caloFlag < 2 && fRemoveBadChannels && pedbadmap->IsBadChannel(in.GetModule(),in.GetColumn(),in.GetRow())) {
5e3106bc 369 //printf("Tower from SM %d, column %d, row %d is BAD!!! Skip \n", in.GetModule(),in.GetColumn(),in.GetRow());
370 continue;
371 }
372
16605c06 373 vector<AliCaloBunchInfo> bunchlist;
32cd4c24 374 while (in.NextBunch()) {
16605c06 375 bunchlist.push_back( AliCaloBunchInfo(in.GetStartTimeBin(), in.GetBunchLength(), in.GetSignals() ) );
376 } // loop over bunches
7643e728 377
916f1e76 378
379 if ( caloFlag < 2 ){ // ALTRO
380
381 Float_t time = 0;
382 Float_t amp = 0;
383
7683df1d 384 if ( fFittingAlgorithm == kFastFit || fFittingAlgorithm == kNeuralNet || fFittingAlgorithm == kLMS || fFittingAlgorithm == kPeakFinder || fFittingAlgorithm == kCrude) {
16605c06 385 // all functionality to determine amp and time etc is encapsulated inside the Evaluate call for these methods
386 AliCaloFitResults fitResults = fRawAnalyzer->Evaluate( bunchlist, in.GetAltroCFG1(), in.GetAltroCFG2());
387
388 amp = fitResults.GetAmp();
389 time = fitResults.GetTof();
390 }
391 else { // for the other methods we for now use the functionality of
392 // AliCaloRawAnalyzer as well, to select samples and prepare for fits,
393 // if it looks like there is something to fit
394
395 // parameters init.
396 Float_t ampEstimate = 0;
397 short maxADC = 0;
398 short timeEstimate = 0;
399 Float_t pedEstimate = 0;
400 Int_t first = 0;
401 Int_t last = 0;
402 Int_t bunchIndex = 0;
403 //
404 // The PreFitEvaluateSamples + later call to FitRaw will hopefully
405 // be replaced by a single Evaluate call or so soon, like for the other
406 // methods, but this should be good enough for evaluation of
407 // the methods for now (Jan. 2010)
408 //
409 int nsamples = fRawAnalyzer->PreFitEvaluateSamples( bunchlist, in.GetAltroCFG1(), in.GetAltroCFG2(), bunchIndex, ampEstimate, maxADC, timeEstimate, pedEstimate, first, last);
7643e728 410
16605c06 411 if (ampEstimate > fNoiseThreshold) { // something worth looking at
7643e728 412
f57baa2d 413 time = timeEstimate; // maxrev in AliCaloRawAnalyzer speak; comes with an offset w.r.t. real timebin
414 Int_t timebinOffset = bunchlist.at(bunchIndex).GetStartBin() - (bunchlist.at(bunchIndex).GetLength()-1);
415
16605c06 416 amp = ampEstimate;
417
418 if ( nsamples > 1 ) { // possibly something to fit
419 FitRaw(first, last, amp, time);
f57baa2d 420 time += timebinOffset;
9f467289 421 }
16605c06 422
423 if ( amp>0 && time>0 ) { // brief sanity check of fit results
424
425 // check fit results: should be consistent with initial estimates
426 // more magic numbers, but very loose cuts, for now..
427 // We have checked that amp and ampEstimate values are positive so division for assymmetry
428 // calculation should be OK/safe
429 Float_t ampAsymm = (amp - ampEstimate)/(amp + ampEstimate);
430 if ( (TMath::Abs(ampAsymm) > 0.1) ) {
431 AliDebug(2,Form("Fit results amp %f time %f not consistent with expectations ped %f max-ped %f time %d",
432 amp, time, pedEstimate, ampEstimate, timeEstimate));
433
434 // what should do we do then? skip this channel or assign the simple estimate?
435 // for now just overwrite the fit results with the simple estimate
436 amp = ampEstimate;
437 time = timeEstimate;
438 } // asymm check
439 } // amp & time check
440 } // ampEstimate check
441 } // method selection
442
029fe7a2 443 if (amp > fNoiseThreshold && amp<fgkRawSignalOverflow) { // something to be stored
16605c06 444 Int_t id = fGeom->GetAbsCellIdFromCellIndexes(in.GetModule(), in.GetRow(), in.GetColumn()) ;
7643e728 445 lowGain = in.IsLowGain();
446
16605c06 447 // go from time-bin units to physical time fgtimetrigger
448 time = time * GetRawFormatTimeBinWidth(); // skip subtraction of fgTimeTrigger?
7643e728 449
450 AliDebug(2,Form("id %d lowGain %d amp %g", id, lowGain, amp));
451 // printf("Added tower: SM %d, row %d, column %d, amp %3.2f\n",in.GetModule(), in.GetRow(), in.GetColumn(),amp);
452 // round off amplitude value to nearest integer
453 AddDigit(digitsArr, id, lowGain, TMath::Nint(amp), time);
454 }
455
916f1e76 456 }//ALTRO
46f1d25f 457 else if(fUseFALTRO)
916f1e76 458 {// Fake ALTRO
459 // if (maxTimeBin && gSig->GetN() > maxTimeBin + 10) gSig->Set(maxTimeBin + 10); // set actual max size of TGraph
916f1e76 460 Int_t hwAdd = in.GetHWAddress();
461 UShort_t iRCU = in.GetDDLNumber() % 2; // 0/1
462 UShort_t iBranch = ( hwAdd >> 11 ) & 0x1; // 0/1
463
464 // Now find TRU number
465 Int_t itru = 3 * in.GetModule() + ( (iRCU << 1) | iBranch ) - 1;
466
467 AliDebug(1,Form("Found TRG digit in TRU: %2d ADC: %2d",itru,in.GetColumn()));
468
469 Int_t idtrg;
470
471 Bool_t isOK = fGeom->GetAbsFastORIndexFromTRU(itru, in.GetColumn(), idtrg);
472
473 Int_t timeSamples[256]; for (Int_t j=0;j<256;j++) timeSamples[j] = 0;
474 Int_t nSamples = 0;
475
476 for (std::vector<AliCaloBunchInfo>::iterator itVectorData = bunchlist.begin(); itVectorData != bunchlist.end(); itVectorData++)
477 {
478 AliCaloBunchInfo bunch = *(itVectorData);
479
480 const UShort_t* sig = bunch.GetData();
481 Int_t startBin = bunch.GetStartBin();
482
483 for (Int_t iS = 0; iS < bunch.GetLength(); iS++)
484 {
485 Int_t time = startBin--;
486 Int_t amp = sig[iS];
487
488 if ( amp ) timeSamples[nSamples++] = ( ( time << 12 ) & 0xFF000 ) | ( amp & 0xFFF );
489 }
490 }
491
492 if (nSamples && isOK) AddDigit(digitsTRG, idtrg, timeSamples, nSamples);
493 }//Fake ALTRO
32cd4c24 494 } // end while over channel
495 } //end while over DDL's, of input stream
16605c06 496
ee299369 497 return ;
498}
499
916f1e76 500//____________________________________________________________________________
501void AliEMCALRawUtils::AddDigit(TClonesArray *digitsArr, Int_t id, Int_t timeSamples[], Int_t nSamples)
502{
503 new((*digitsArr)[digitsArr->GetEntriesFast()]) AliEMCALRawDigit(id, timeSamples, nSamples);
504
505 // Int_t idx = digitsArr->GetEntriesFast()-1;
506 // AliEMCALRawDigit* d = (AliEMCALRawDigit*)digitsArr->At(idx);
507}
508
ee299369 509//____________________________________________________________________________
82cbdfca 510void AliEMCALRawUtils::AddDigit(TClonesArray *digitsArr, Int_t id, Int_t lowGain, Int_t amp, Float_t time) {
511 //
512 // Add a new digit.
513 // This routine checks whether a digit exists already for this tower
514 // and then decides whether to use the high or low gain info
515 //
516 // Called by Raw2Digits
517
518 AliEMCALDigit *digit = 0, *tmpdigit = 0;
82cbdfca 519 TIter nextdigit(digitsArr);
520 while (digit == 0 && (tmpdigit = (AliEMCALDigit*) nextdigit())) {
521 if (tmpdigit->GetId() == id)
522 digit = tmpdigit;
523 }
524
525 if (!digit) { // no digit existed for this tower; create one
a7ec7165 526 if (lowGain && amp > fgkOverflowCut)
82cbdfca 527 amp = Int_t(fHighLowGainFactor * amp);
528 Int_t idigit = digitsArr->GetEntries();
529 new((*digitsArr)[idigit]) AliEMCALDigit( -1, -1, id, amp, time, idigit) ;
530 }
531 else { // a digit already exists, check range
b4133f05 532 // (use high gain if signal < cut value, otherwise low gain)
82cbdfca 533 if (lowGain) { // new digit is low gain
b4133f05 534 if (digit->GetAmp() > fgkOverflowCut) { // use if stored digit is out of range
82cbdfca 535 digit->SetAmp(Int_t(fHighLowGainFactor * amp));
536 digit->SetTime(time);
537 }
538 }
b4133f05 539 else if (amp < fgkOverflowCut) { // new digit is high gain; use if not out of range
82cbdfca 540 digit->SetAmp(amp);
541 digit->SetTime(time);
542 }
543 }
544}
545
546//____________________________________________________________________________
16605c06 547void AliEMCALRawUtils::FitRaw(const Int_t firstTimeBin, const Int_t lastTimeBin, Float_t & amp, Float_t & time) const
548{ // Fits the raw signal time distribution
549
550 //--------------------------------------------------
551 //Do the fit, different fitting algorithms available
552 //--------------------------------------------------
553 int nsamples = lastTimeBin - firstTimeBin + 1;
ee299369 554
16605c06 555 switch(fFittingAlgorithm) {
556 case kStandard:
557 {
7683df1d 558 if (nsamples < 3) { return; } // nothing much to fit
16605c06 559 //printf("Standard fitter \n");
7683df1d 560
16605c06 561 // Create Graph to hold data we will fit
7683df1d 562 TGraph *gSig = new TGraph( nsamples);
563 for (int i=0; i<nsamples; i++) {
564 Int_t timebin = firstTimeBin + i;
f57baa2d 565 gSig->SetPoint(i, timebin, fRawAnalyzer->GetReversed(timebin));
7683df1d 566 }
567
16605c06 568 TF1 * signalF = new TF1("signal", RawResponseFunction, 0, GetRawFormatTimeBins(), 5);
569 signalF->SetParameters(10.,5.,fTau,fOrder,0.); //set all defaults once, just to be safe
570 signalF->SetParNames("amp","t0","tau","N","ped");
571 signalF->FixParameter(2,fTau); // tau in units of time bin
572 signalF->FixParameter(3,fOrder); // order
573 signalF->FixParameter(4, 0); // pedestal should be subtracted when we get here
574 signalF->SetParameter(1, time);
575 signalF->SetParameter(0, amp);
576
577 gSig->Fit(signalF, "QROW"); // Note option 'W': equal errors on all points
578
579 // assign fit results
580 amp = signalF->GetParameter(0);
581 time = signalF->GetParameter(1);
e9dbb64a 582
16605c06 583 delete signalF;
584
585 // cross-check with ParabolaFit to see if the results make sense
586 FitParabola(gSig, amp); // amp is possibly updated
82cbdfca 587
16605c06 588 //printf("Std : Amp %f, time %g\n",amp, time);
7683df1d 589 delete gSig; // delete TGraph
16605c06 590
591 break;
592 }//kStandard Fitter
593 //----------------------------
7683df1d 594 case kLogFit:
16605c06 595 {
7683df1d 596 if (nsamples < 3) { return; } // nothing much to fit
597 //printf("LogFit \n");
598
599 // Create Graph to hold data we will fit
600 TGraph *gSigLog = new TGraph( nsamples);
601 for (int i=0; i<nsamples; i++) {
602 Int_t timebin = firstTimeBin + i;
603 gSigLog->SetPoint(timebin, timebin, TMath::Log(fRawAnalyzer->GetReversed(timebin) ) );
7643e728 604 }
7683df1d 605
606 TF1 * signalFLog = new TF1("signalLog", RawResponseFunctionLog, 0, GetRawFormatTimeBins(), 5);
607 signalFLog->SetParameters(2.3, 5.,fTau,fOrder,0.); //set all defaults once, just to be safe
608 signalFLog->SetParNames("amplog","t0","tau","N","ped");
609 signalFLog->FixParameter(2,fTau); // tau in units of time bin
610 signalFLog->FixParameter(3,fOrder); // order
611 signalFLog->FixParameter(4, 0); // pedestal should be subtracted when we get here
612 signalFLog->SetParameter(1, time);
613 if (amp>=1) {
614 signalFLog->SetParameter(0, TMath::Log(amp));
16605c06 615 }
7683df1d 616
617 gSigLog->Fit(signalFLog, "QROW"); // Note option 'W': equal errors on all points
618
619 // assign fit results
620 Double_t amplog = signalFLog->GetParameter(0); //Not Amp, but Log of Amp
621 amp = TMath::Exp(amplog);
622 time = signalFLog->GetParameter(1);
623
624 delete signalFLog;
625 //printf("LogFit: Amp %f, time %g\n",amp, time);
626 delete gSigLog;
16605c06 627 break;
7683df1d 628 } //kLogFit
629 //----------------------------
630
16605c06 631 //----------------------------
632 }//switch fitting algorithms
fb070798 633
16605c06 634 return;
635}
8cb998bd 636
16605c06 637//__________________________________________________________________
638void AliEMCALRawUtils::FitParabola(const TGraph *gSig, Float_t & amp) const
639{
640 //BEG YS alternative methods to calculate the amplitude
641 Double_t * ymx = gSig->GetX() ;
642 Double_t * ymy = gSig->GetY() ;
643 const Int_t kN = 3 ;
644 Double_t ymMaxX[kN] = {0., 0., 0.} ;
645 Double_t ymMaxY[kN] = {0., 0., 0.} ;
646 Double_t ymax = 0. ;
647 // find the maximum amplitude
648 Int_t ymiMax = 0 ;
649 for (Int_t ymi = 0; ymi < gSig->GetN(); ymi++) {
650 if (ymy[ymi] > ymMaxY[0] ) {
651 ymMaxY[0] = ymy[ymi] ; //<========== This is the maximum amplitude
652 ymMaxX[0] = ymx[ymi] ;
653 ymiMax = ymi ;
654 }
655 }
656 // find the maximum by fitting a parabola through the max and the two adjacent samples
657 if ( ymiMax < gSig->GetN()-1 && ymiMax > 0) {
658 ymMaxY[1] = ymy[ymiMax+1] ;
659 ymMaxY[2] = ymy[ymiMax-1] ;
660 ymMaxX[1] = ymx[ymiMax+1] ;
661 ymMaxX[2] = ymx[ymiMax-1] ;
662 if (ymMaxY[0]*ymMaxY[1]*ymMaxY[2] > 0) {
663 //fit a parabola through the 3 points y= a+bx+x*x*x
664 Double_t sy = 0 ;
665 Double_t sx = 0 ;
666 Double_t sx2 = 0 ;
667 Double_t sx3 = 0 ;
668 Double_t sx4 = 0 ;
669 Double_t sxy = 0 ;
670 Double_t sx2y = 0 ;
671 for (Int_t i = 0; i < kN ; i++) {
672 sy += ymMaxY[i] ;
673 sx += ymMaxX[i] ;
674 sx2 += ymMaxX[i]*ymMaxX[i] ;
675 sx3 += ymMaxX[i]*ymMaxX[i]*ymMaxX[i] ;
676 sx4 += ymMaxX[i]*ymMaxX[i]*ymMaxX[i]*ymMaxX[i] ;
677 sxy += ymMaxX[i]*ymMaxY[i] ;
678 sx2y += ymMaxX[i]*ymMaxX[i]*ymMaxY[i] ;
679 }
680 Double_t cN = (sx2y*kN-sy*sx2)*(sx3*sx-sx2*sx2)-(sx2y*sx-sxy*sx2)*(sx3*kN-sx*sx2);
681 Double_t cD = (sx4*kN-sx2*sx2)*(sx3*sx-sx2*sx2)-(sx4*sx-sx3*sx2)*(sx3*kN-sx*sx2) ;
682 Double_t c = cN / cD ;
683 Double_t b = ((sx2y*kN-sy*sx2)-c*(sx4*kN-sx2*sx2))/(sx3*kN-sx*sx2) ;
684 Double_t a = (sy-b*sx-c*sx2)/kN ;
685 Double_t xmax = -b/(2*c) ;
686 ymax = a + b*xmax + c*xmax*xmax ;//<========== This is the maximum amplitude
029fe7a2 687 amp = ymax;
16605c06 688 }
689 }
690
691 Double_t diff = TMath::Abs(1-ymMaxY[0]/amp) ;
692 if (diff > 0.1)
693 amp = ymMaxY[0] ;
694 //printf("Yves : Amp %f, time %g\n",amp, time);
695 //END YS
ee299369 696 return;
697}
16605c06 698
ee299369 699//__________________________________________________________________
700Double_t AliEMCALRawUtils::RawResponseFunction(Double_t *x, Double_t *par)
701{
8cb998bd 702 // Matches version used in 2007 beam test
703 //
ee299369 704 // Shape of the electronics raw reponse:
705 // It is a semi-gaussian, 2nd order Gamma function of the general form
706 //
7643e728 707 // xx = (t - t0 + tau) / tau [xx is just a convenient help variable]
708 // F = A * (xx**N * exp( N * ( 1 - xx) ) for xx >= 0
709 // F = 0 for xx < 0
ee299369 710 //
711 // parameters:
8cb998bd 712 // A: par[0] // Amplitude = peak value
713 // t0: par[1]
714 // tau: par[2]
715 // N: par[3]
716 // ped: par[4]
ee299369 717 //
718 Double_t signal ;
8cb998bd 719 Double_t tau =par[2];
e5bbbc4e 720 Double_t n =par[3];
8cb998bd 721 Double_t ped = par[4];
722 Double_t xx = ( x[0] - par[1] + tau ) / tau ;
ee299369 723
5a056daa 724 if (xx <= 0)
8cb998bd 725 signal = ped ;
ee299369 726 else {
e5bbbc4e 727 signal = ped + par[0] * TMath::Power(xx , n) * TMath::Exp(n * (1 - xx )) ;
ee299369 728 }
729 return signal ;
730}
731
7683df1d 732//__________________________________________________________________
733Double_t AliEMCALRawUtils::RawResponseFunctionLog(Double_t *x, Double_t *par)
734{
735 // Matches version used in 2007 beam test
736 //
737 // Shape of the electronics raw reponse:
738 // It is a semi-gaussian, 2nd order Gamma function of the general form
739 //
740 // xx = (t - t0 + tau) / tau [xx is just a convenient help variable]
741 // F = A * (xx**N * exp( N * ( 1 - xx) ) for xx >= 0
742 // F = 0 for xx < 0
743 //
744 // parameters:
745 // Log[A]: par[0] // Amplitude = peak value
746 // t0: par[1]
747 // tau: par[2]
748 // N: par[3]
749 // ped: par[4]
750 //
751 Double_t signal ;
752 Double_t tau =par[2];
753 Double_t n =par[3];
754 //Double_t ped = par[4]; // not used
755 Double_t xx = ( x[0] - par[1] + tau ) / tau ;
756
757 if (xx < 0)
758 signal = par[0] - n*TMath::Log(TMath::Abs(xx)) + n * (1 - xx ) ;
759 else {
760 signal = par[0] + n*TMath::Log(xx) + n * (1 - xx ) ;
761 }
762 return signal ;
763}
764
ee299369 765//__________________________________________________________________
6751f762 766Bool_t AliEMCALRawUtils::RawSampledResponse(const Double_t dtime, const Double_t damp, Int_t * adcH, Int_t * adcL, const Int_t keyErr) const
ee299369 767{
768 // for a start time dtime and an amplitude damp given by digit,
769 // calculates the raw sampled response AliEMCAL::RawResponseFunction
770
ee299369 771 Bool_t lowGain = kFALSE ;
772
48a56166 773 // A: par[0] // Amplitude = peak value
774 // t0: par[1]
775 // tau: par[2]
776 // N: par[3]
777 // ped: par[4]
778
56e13066 779 TF1 signalF("signal", RawResponseFunction, 0, GetRawFormatTimeBins(), 5);
48a56166 780 signalF.SetParameter(0, damp) ;
56e13066 781 signalF.SetParameter(1, (dtime + fgTimeTrigger)/fgTimeBinWidth) ;
b4133f05 782 signalF.SetParameter(2, fTau) ;
783 signalF.SetParameter(3, fOrder);
fe93d365 784 signalF.SetParameter(4, fgPedestalValue);
6751f762 785
786 Double_t signal=0.0, noise=0.0;
ee299369 787 for (Int_t iTime = 0; iTime < GetRawFormatTimeBins(); iTime++) {
916f1e76 788 signal = signalF.Eval(iTime) ;
789
7643e728 790 // Next lines commeted for the moment but in principle it is not necessary to add
ff10f540 791 // extra noise since noise already added at the digits level.
7643e728 792
fe93d365 793 //According to Terry Awes, 13-Apr-2008
794 //add gaussian noise in quadrature to each sample
09974781 795 //Double_t noise = gRandom->Gaus(0.,fgFEENoise);
fe93d365 796 //signal = sqrt(signal*signal + noise*noise);
797
e2c2134b 798 // March 17,09 for fast fit simulations by Alexei Pavlinov.
4fe71e02 799 // Get from PHOS analysis. In some sense it is open questions.
6751f762 800 if(keyErr>0) {
801 noise = gRandom->Gaus(0.,fgFEENoise);
802 signal += noise;
803 }
804
ee299369 805 adcH[iTime] = static_cast<Int_t>(signal + 0.5) ;
b4133f05 806 if ( adcH[iTime] > fgkRawSignalOverflow ){ // larger than 10 bits
807 adcH[iTime] = fgkRawSignalOverflow ;
ee299369 808 lowGain = kTRUE ;
809 }
810
811 signal /= fHighLowGainFactor;
812
813 adcL[iTime] = static_cast<Int_t>(signal + 0.5) ;
b4133f05 814 if ( adcL[iTime] > fgkRawSignalOverflow) // larger than 10 bits
815 adcL[iTime] = fgkRawSignalOverflow ;
ee299369 816 }
817 return lowGain ;
818}
4fe71e02 819
820//__________________________________________________________________
821void AliEMCALRawUtils::SetFittingAlgorithm(Int_t fitAlgo)
822{
823 //Set fitting algorithm and initialize it if this same algorithm was not set before.
916f1e76 824 //printf("**** Set Algorithm , number %d ****\n",fitAlgo);
825
4fe71e02 826 if(fitAlgo == fFittingAlgorithm && fRawAnalyzer) {
827 //Do nothing, this same algorithm already set before.
828 //printf("**** Algorithm already set before, number %d, %s ****\n",fitAlgo, fRawAnalyzer->GetName());
829 return;
830 }
831 //Initialize the requested algorithm
832 if(fitAlgo != fFittingAlgorithm || !fRawAnalyzer) {
833 //printf("**** Init Algorithm , number %d ****\n",fitAlgo);
834
835 fFittingAlgorithm = fitAlgo;
836 if (fRawAnalyzer) delete fRawAnalyzer; // delete prev. analyzer if existed.
837
838 if (fitAlgo == kFastFit) {
839 fRawAnalyzer = new AliCaloRawAnalyzerFastFit();
840 }
841 else if (fitAlgo == kNeuralNet) {
842 fRawAnalyzer = new AliCaloRawAnalyzerNN();
843 }
844 else if (fitAlgo == kLMS) {
845 fRawAnalyzer = new AliCaloRawAnalyzerLMS();
846 }
847 else if (fitAlgo == kPeakFinder) {
848 fRawAnalyzer = new AliCaloRawAnalyzerPeakFinder();
849 }
850 else if (fitAlgo == kCrude) {
851 fRawAnalyzer = new AliCaloRawAnalyzerCrude();
852 }
853 else {
854 fRawAnalyzer = new AliCaloRawAnalyzer();
855 }
856 }
857
858}
859
860