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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" | |
e5bbbc4e | 33 | class TSystem; |
21cad85c | 34 | |
e5bbbc4e | 35 | class AliLog; |
72c58de0 | 36 | #include "AliRun.h" |
ee299369 | 37 | #include "AliRunLoader.h" |
e5bbbc4e | 38 | class AliCaloAltroMapping; |
ee299369 | 39 | #include "AliAltroBuffer.h" |
40 | #include "AliRawReader.h" | |
32cd4c24 | 41 | #include "AliCaloRawStreamV3.h" |
ee299369 | 42 | #include "AliDAQ.h" |
21cad85c | 43 | |
feedcab9 | 44 | #include "AliEMCALRecParam.h" |
ee299369 | 45 | #include "AliEMCALLoader.h" |
46 | #include "AliEMCALGeometry.h" | |
e5bbbc4e | 47 | class AliEMCALDigitizer; |
ee299369 | 48 | #include "AliEMCALDigit.h" |
20b636fc | 49 | #include "AliEMCAL.h" |
5e3106bc | 50 | #include "AliCaloCalibPedestal.h" |
9f467289 | 51 | #include "AliCaloFastAltroFitv0.h" |
c8603a2b | 52 | #include "AliCaloNeuralFit.h" |
16605c06 | 53 | #include "AliCaloBunchInfo.h" |
54 | #include "AliCaloFitResults.h" | |
7683df1d | 55 | #include "AliCaloRawAnalyzerFastFit.h" |
56 | #include "AliCaloRawAnalyzerNN.h" | |
16605c06 | 57 | #include "AliCaloRawAnalyzerLMS.h" |
58 | #include "AliCaloRawAnalyzerPeakFinder.h" | |
59 | #include "AliCaloRawAnalyzerCrude.h" | |
9f467289 | 60 | |
ee299369 | 61 | ClassImp(AliEMCALRawUtils) |
21cad85c | 62 | |
ee299369 | 63 | // Signal shape parameters |
89d338a6 | 64 | Int_t AliEMCALRawUtils::fgTimeBins = 256; // number of sampling bins of the raw RO signal (we typically use 15-50; theoretical max is 1k+) |
e5bbbc4e | 65 | Double_t AliEMCALRawUtils::fgTimeBinWidth = 100E-9 ; // each sample is 100 ns |
09974781 | 66 | Double_t AliEMCALRawUtils::fgTimeTrigger = 1.5E-6 ; // 15 time bins ~ 1.5 musec |
ee299369 | 67 | |
68 | // some digitization constants | |
69 | Int_t AliEMCALRawUtils::fgThreshold = 1; | |
70 | Int_t AliEMCALRawUtils::fgDDLPerSuperModule = 2; // 2 ddls per SuperModule | |
e5bbbc4e | 71 | Int_t AliEMCALRawUtils::fgPedestalValue = 32; // pedestal value for digits2raw |
72 | Double_t AliEMCALRawUtils::fgFEENoise = 3.; // 3 ADC channels of noise (sampled) | |
ee299369 | 73 | |
16605c06 | 74 | AliEMCALRawUtils::AliEMCALRawUtils(fitAlgorithm fitAlgo) |
b4133f05 | 75 | : fHighLowGainFactor(0.), fOrder(0), fTau(0.), fNoiseThreshold(0), |
9f467289 | 76 | fNPedSamples(0), fGeom(0), fOption(""), |
16605c06 | 77 | fRemoveBadChannels(kTRUE),fFittingAlgorithm(0),fRawAnalyzer(0) |
8cb998bd | 78 | { |
b4133f05 | 79 | |
80 | //These are default parameters. | |
81 | //Can be re-set from without with setter functions | |
9f467289 | 82 | //Already set in the OCDB and passed via setter in the AliEMCALReconstructor |
ee299369 | 83 | fHighLowGainFactor = 16. ; // adjusted for a low gain range of 82 GeV (10 bits) |
b4133f05 | 84 | fOrder = 2; // order of gamma fn |
85 | fTau = 2.35; // in units of timebin, from CERN 2007 testbeam | |
7643e728 | 86 | fNoiseThreshold = 3; // 3 ADC counts is approx. noise level |
87 | fNPedSamples = 4; // less than this value => likely pedestal samples | |
9f467289 | 88 | fRemoveBadChannels = kTRUE; //Remove bad channels before fitting |
4fe71e02 | 89 | SetFittingAlgorithm(fitAlgo); |
16605c06 | 90 | |
65bdc82f | 91 | //Get Mapping RCU files from the AliEMCALRecParam |
92 | const TObjArray* maps = AliEMCALRecParam::GetMappings(); | |
93 | if(!maps) AliFatal("Cannot retrieve ALTRO mappings!!"); | |
94 | ||
21cad85c | 95 | for(Int_t i = 0; i < 4; i++) { |
65bdc82f | 96 | fMapping[i] = (AliAltroMapping*)maps->At(i); |
97 | } | |
98 | ||
72c58de0 | 99 | //To make sure we match with the geometry in a simulation file, |
100 | //let's try to get it first. If not, take the default geometry | |
33c3c91a | 101 | AliRunLoader *rl = AliRunLoader::Instance(); |
c61fe3b4 | 102 | if(!rl) AliError("Cannot find RunLoader!"); |
72c58de0 | 103 | if (rl->GetAliRun() && rl->GetAliRun()->GetDetector("EMCAL")) { |
104 | fGeom = dynamic_cast<AliEMCAL*>(rl->GetAliRun()->GetDetector("EMCAL"))->GetGeometry(); | |
105 | } else { | |
106 | AliInfo(Form("Using default geometry in raw reco")); | |
937d0661 | 107 | fGeom = AliEMCALGeometry::GetInstance(AliEMCALGeometry::GetDefaultGeometryName()); |
65bdc82f | 108 | } |
109 | ||
72c58de0 | 110 | if(!fGeom) AliFatal(Form("Could not get geometry!")); |
111 | ||
65bdc82f | 112 | } |
113 | ||
114 | //____________________________________________________________________________ | |
16605c06 | 115 | AliEMCALRawUtils::AliEMCALRawUtils(AliEMCALGeometry *pGeometry, fitAlgorithm fitAlgo) |
5544799a | 116 | : fHighLowGainFactor(0.), fOrder(0), fTau(0.), fNoiseThreshold(0), |
9f467289 | 117 | fNPedSamples(0), fGeom(pGeometry), fOption(""), |
16605c06 | 118 | fRemoveBadChannels(kTRUE),fFittingAlgorithm(0),fRawAnalyzer() |
5544799a | 119 | { |
120 | // | |
121 | // Initialize with the given geometry - constructor required by HLT | |
122 | // HLT does not use/support AliRunLoader(s) instances | |
123 | // This is a minimum intervention solution | |
124 | // Comment by MPloskon@lbl.gov | |
125 | // | |
126 | ||
127 | //These are default parameters. | |
128 | //Can be re-set from without with setter functions | |
9f467289 | 129 | //Already set in the OCDB and passed via setter in the AliEMCALReconstructor |
5544799a | 130 | fHighLowGainFactor = 16. ; // adjusted for a low gain range of 82 GeV (10 bits) |
131 | fOrder = 2; // order of gamma fn | |
132 | fTau = 2.35; // in units of timebin, from CERN 2007 testbeam | |
7643e728 | 133 | fNoiseThreshold = 3; // 3 ADC counts is approx. noise level |
134 | fNPedSamples = 4; // less than this value => likely pedestal samples | |
9f467289 | 135 | fRemoveBadChannels = kTRUE; //Remove bad channels before fitting |
4fe71e02 | 136 | SetFittingAlgorithm(fitAlgo); |
137 | ||
138 | ||
5544799a | 139 | //Get Mapping RCU files from the AliEMCALRecParam |
140 | const TObjArray* maps = AliEMCALRecParam::GetMappings(); | |
141 | if(!maps) AliFatal("Cannot retrieve ALTRO mappings!!"); | |
142 | ||
21cad85c | 143 | for(Int_t i = 0; i < 4; i++) { |
5544799a | 144 | fMapping[i] = (AliAltroMapping*)maps->At(i); |
145 | } | |
146 | ||
147 | if(!fGeom) AliFatal(Form("Could not get geometry!")); | |
148 | ||
149 | } | |
150 | ||
151 | //____________________________________________________________________________ | |
65bdc82f | 152 | AliEMCALRawUtils::AliEMCALRawUtils(const AliEMCALRawUtils& rawU) |
153 | : TObject(), | |
154 | fHighLowGainFactor(rawU.fHighLowGainFactor), | |
b4133f05 | 155 | fOrder(rawU.fOrder), |
156 | fTau(rawU.fTau), | |
157 | fNoiseThreshold(rawU.fNoiseThreshold), | |
158 | fNPedSamples(rawU.fNPedSamples), | |
65bdc82f | 159 | fGeom(rawU.fGeom), |
9f467289 | 160 | fOption(rawU.fOption), |
161 | fRemoveBadChannels(rawU.fRemoveBadChannels), | |
16605c06 | 162 | fFittingAlgorithm(rawU.fFittingAlgorithm), |
163 | fRawAnalyzer(rawU.fRawAnalyzer) | |
65bdc82f | 164 | { |
165 | //copy ctor | |
166 | fMapping[0] = rawU.fMapping[0]; | |
167 | fMapping[1] = rawU.fMapping[1]; | |
21cad85c | 168 | fMapping[2] = rawU.fMapping[2]; |
169 | fMapping[3] = rawU.fMapping[3]; | |
65bdc82f | 170 | } |
171 | ||
172 | //____________________________________________________________________________ | |
173 | AliEMCALRawUtils& AliEMCALRawUtils::operator =(const AliEMCALRawUtils &rawU) | |
174 | { | |
175 | //assignment operator | |
176 | ||
177 | if(this != &rawU) { | |
178 | fHighLowGainFactor = rawU.fHighLowGainFactor; | |
b4133f05 | 179 | fOrder = rawU.fOrder; |
180 | fTau = rawU.fTau; | |
181 | fNoiseThreshold = rawU.fNoiseThreshold; | |
182 | fNPedSamples = rawU.fNPedSamples; | |
65bdc82f | 183 | fGeom = rawU.fGeom; |
184 | fOption = rawU.fOption; | |
9f467289 | 185 | fRemoveBadChannels = rawU.fRemoveBadChannels; |
186 | fFittingAlgorithm = rawU.fFittingAlgorithm; | |
16605c06 | 187 | fRawAnalyzer = rawU.fRawAnalyzer; |
65bdc82f | 188 | fMapping[0] = rawU.fMapping[0]; |
189 | fMapping[1] = rawU.fMapping[1]; | |
21cad85c | 190 | fMapping[2] = rawU.fMapping[2]; |
191 | fMapping[3] = rawU.fMapping[3]; | |
65bdc82f | 192 | } |
193 | ||
194 | return *this; | |
195 | ||
ee299369 | 196 | } |
65bdc82f | 197 | |
ee299369 | 198 | //____________________________________________________________________________ |
199 | AliEMCALRawUtils::~AliEMCALRawUtils() { | |
e5bbbc4e | 200 | //dtor |
65bdc82f | 201 | |
ee299369 | 202 | } |
65bdc82f | 203 | |
ee299369 | 204 | //____________________________________________________________________________ |
65bdc82f | 205 | void AliEMCALRawUtils::Digits2Raw() |
ee299369 | 206 | { |
207 | // convert digits of the current event to raw data | |
208 | ||
33c3c91a | 209 | AliRunLoader *rl = AliRunLoader::Instance(); |
ee299369 | 210 | AliEMCALLoader *loader = dynamic_cast<AliEMCALLoader*>(rl->GetDetectorLoader("EMCAL")); |
211 | ||
212 | // get the digits | |
213 | loader->LoadDigits("EMCAL"); | |
214 | loader->GetEvent(); | |
215 | TClonesArray* digits = loader->Digits() ; | |
216 | ||
217 | if (!digits) { | |
218 | Warning("Digits2Raw", "no digits found !"); | |
219 | return; | |
220 | } | |
65bdc82f | 221 | |
ee299369 | 222 | static const Int_t nDDL = 12*2; // 12 SM hardcoded for now. Buffers allocated dynamically, when needed, so just need an upper limit here |
223 | AliAltroBuffer* buffers[nDDL]; | |
224 | for (Int_t i=0; i < nDDL; i++) | |
225 | buffers[i] = 0; | |
226 | ||
e2c2134b | 227 | TArrayI adcValuesLow(fgTimeBins); |
228 | TArrayI adcValuesHigh(fgTimeBins); | |
ee299369 | 229 | |
ee299369 | 230 | // loop over digits (assume ordered digits) |
231 | for (Int_t iDigit = 0; iDigit < digits->GetEntries(); iDigit++) { | |
232 | AliEMCALDigit* digit = dynamic_cast<AliEMCALDigit *>(digits->At(iDigit)) ; | |
233 | if (digit->GetAmp() < fgThreshold) | |
234 | continue; | |
235 | ||
236 | //get cell indices | |
237 | Int_t nSM = 0; | |
238 | Int_t nIphi = 0; | |
239 | Int_t nIeta = 0; | |
240 | Int_t iphi = 0; | |
241 | Int_t ieta = 0; | |
242 | Int_t nModule = 0; | |
65bdc82f | 243 | fGeom->GetCellIndex(digit->GetId(), nSM, nModule, nIphi, nIeta); |
244 | fGeom->GetCellPhiEtaIndexInSModule(nSM, nModule, nIphi, nIeta,iphi, ieta) ; | |
ee299369 | 245 | |
21cad85c | 246 | //Check which is the RCU, 0 or 1, of the cell. |
ee299369 | 247 | Int_t iRCU = -111; |
248 | //RCU0 | |
249 | if (0<=iphi&&iphi<8) iRCU=0; // first cable row | |
250 | else if (8<=iphi&&iphi<16 && 0<=ieta&&ieta<24) iRCU=0; // first half; | |
251 | //second cable row | |
252 | //RCU1 | |
253 | else if(8<=iphi&&iphi<16 && 24<=ieta&&ieta<48) iRCU=1; // second half; | |
254 | //second cable row | |
255 | else if(16<=iphi&&iphi<24) iRCU=1; // third cable row | |
21cad85c | 256 | |
257 | if (nSM%2==1) iRCU = 1 - iRCU; // swap for odd=C side, to allow us to cable both sides the same | |
258 | ||
e36e3bcf | 259 | if (iRCU<0) |
260 | Fatal("Digits2Raw()","Non-existent RCU number: %d", iRCU); | |
ee299369 | 261 | |
262 | //Which DDL? | |
263 | Int_t iDDL = fgDDLPerSuperModule* nSM + iRCU; | |
264 | if (iDDL >= nDDL) | |
265 | Fatal("Digits2Raw()","Non-existent DDL board number: %d", iDDL); | |
266 | ||
267 | if (buffers[iDDL] == 0) { | |
268 | // open new file and write dummy header | |
269 | TString fileName = AliDAQ::DdlFileName("EMCAL",iDDL); | |
21cad85c | 270 | //Select mapping file RCU0A, RCU0C, RCU1A, RCU1C |
271 | Int_t iRCUside=iRCU+(nSM%2)*2; | |
272 | //iRCU=0 and even (0) SM -> RCU0A.data 0 | |
273 | //iRCU=1 and even (0) SM -> RCU1A.data 1 | |
274 | //iRCU=0 and odd (1) SM -> RCU0C.data 2 | |
275 | //iRCU=1 and odd (1) SM -> RCU1C.data 3 | |
276 | //cout<<" nSM "<<nSM<<"; iRCU "<<iRCU<<"; iRCUside "<<iRCUside<<endl; | |
277 | buffers[iDDL] = new AliAltroBuffer(fileName.Data(),fMapping[iRCUside]); | |
ee299369 | 278 | buffers[iDDL]->WriteDataHeader(kTRUE, kFALSE); //Dummy; |
279 | } | |
280 | ||
281 | // out of time range signal (?) | |
282 | if (digit->GetTimeR() > GetRawFormatTimeMax() ) { | |
283 | AliInfo("Signal is out of time range.\n"); | |
284 | buffers[iDDL]->FillBuffer((Int_t)digit->GetAmp()); | |
285 | buffers[iDDL]->FillBuffer(GetRawFormatTimeBins() ); // time bin | |
286 | buffers[iDDL]->FillBuffer(3); // bunch length | |
287 | buffers[iDDL]->WriteTrailer(3, ieta, iphi, nSM); // trailer | |
288 | // calculate the time response function | |
289 | } else { | |
e2c2134b | 290 | Bool_t lowgain = RawSampledResponse(digit->GetTimeR(), digit->GetAmp(), adcValuesHigh.GetArray(), adcValuesLow.GetArray()) ; |
ee299369 | 291 | if (lowgain) |
e2c2134b | 292 | buffers[iDDL]->WriteChannel(ieta, iphi, 0, GetRawFormatTimeBins(), adcValuesLow.GetArray(), fgThreshold); |
ee299369 | 293 | else |
e2c2134b | 294 | buffers[iDDL]->WriteChannel(ieta,iphi, 1, GetRawFormatTimeBins(), adcValuesHigh.GetArray(), fgThreshold); |
ee299369 | 295 | } |
296 | } | |
297 | ||
298 | // write headers and close files | |
299 | for (Int_t i=0; i < nDDL; i++) { | |
300 | if (buffers[i]) { | |
301 | buffers[i]->Flush(); | |
302 | buffers[i]->WriteDataHeader(kFALSE, kFALSE); | |
303 | delete buffers[i]; | |
304 | } | |
305 | } | |
65bdc82f | 306 | |
ee299369 | 307 | loader->UnloadDigits(); |
308 | } | |
309 | ||
310 | //____________________________________________________________________________ | |
16605c06 | 311 | void AliEMCALRawUtils::Raw2Digits(AliRawReader* reader,TClonesArray *digitsArr, const AliCaloCalibPedestal* pedbadmap) |
ee299369 | 312 | { |
65bdc82f | 313 | // convert raw data of the current event to digits |
ee299369 | 314 | |
c47157cd | 315 | digitsArr->Clear(); |
ee299369 | 316 | |
c47157cd | 317 | if (!digitsArr) { |
ee299369 | 318 | Error("Raw2Digits", "no digits found !"); |
319 | return; | |
320 | } | |
321 | if (!reader) { | |
322 | Error("Raw2Digits", "no raw reader found !"); | |
323 | return; | |
324 | } | |
325 | ||
32cd4c24 | 326 | AliCaloRawStreamV3 in(reader,"EMCAL",fMapping); |
ee299369 | 327 | // Select EMCAL DDL's; |
7643e728 | 328 | reader->Select("EMCAL",0,43); // 43 = AliEMCALGeoParams::fgkLastAltroDDL |
feedcab9 | 329 | |
16605c06 | 330 | // fRawAnalyzer setup |
331 | fRawAnalyzer->SetAmpCut(fNoiseThreshold); | |
332 | fRawAnalyzer->SetFitArrayCut(fNoiseThreshold); | |
333 | fRawAnalyzer->SetIsZeroSuppressed(true); // TMP - should use stream->IsZeroSuppressed(), or altro cfg registers later | |
ee299369 | 334 | |
16605c06 | 335 | // channel info parameters |
ee299369 | 336 | Int_t lowGain = 0; |
e5bbbc4e | 337 | Int_t caloFlag = 0; // low, high gain, or TRU, or LED ref. |
ee299369 | 338 | |
32cd4c24 | 339 | // start loop over input stream |
340 | while (in.NextDDL()) { | |
341 | while (in.NextChannel()) { | |
7643e728 | 342 | |
343 | //Check if the signal is high or low gain and then do the fit, | |
16605c06 | 344 | //if it is from TRU or LEDMon do not fit |
7643e728 | 345 | caloFlag = in.GetCaloFlag(); |
346 | if (caloFlag != 0 && caloFlag != 1) continue; | |
347 | ||
5e3106bc | 348 | //Do not fit bad channels |
9f467289 | 349 | if(fRemoveBadChannels && pedbadmap->IsBadChannel(in.GetModule(),in.GetColumn(),in.GetRow())) { |
5e3106bc | 350 | //printf("Tower from SM %d, column %d, row %d is BAD!!! Skip \n", in.GetModule(),in.GetColumn(),in.GetRow()); |
351 | continue; | |
352 | } | |
353 | ||
16605c06 | 354 | vector<AliCaloBunchInfo> bunchlist; |
32cd4c24 | 355 | while (in.NextBunch()) { |
16605c06 | 356 | bunchlist.push_back( AliCaloBunchInfo(in.GetStartTimeBin(), in.GetBunchLength(), in.GetSignals() ) ); |
357 | } // loop over bunches | |
7643e728 | 358 | |
16605c06 | 359 | Float_t time = 0; |
360 | Float_t amp = 0; | |
361 | ||
7683df1d | 362 | if ( fFittingAlgorithm == kFastFit || fFittingAlgorithm == kNeuralNet || fFittingAlgorithm == kLMS || fFittingAlgorithm == kPeakFinder || fFittingAlgorithm == kCrude) { |
16605c06 | 363 | // all functionality to determine amp and time etc is encapsulated inside the Evaluate call for these methods |
364 | AliCaloFitResults fitResults = fRawAnalyzer->Evaluate( bunchlist, in.GetAltroCFG1(), in.GetAltroCFG2()); | |
365 | ||
366 | amp = fitResults.GetAmp(); | |
367 | time = fitResults.GetTof(); | |
368 | } | |
369 | else { // for the other methods we for now use the functionality of | |
370 | // AliCaloRawAnalyzer as well, to select samples and prepare for fits, | |
371 | // if it looks like there is something to fit | |
372 | ||
373 | // parameters init. | |
374 | Float_t ampEstimate = 0; | |
375 | short maxADC = 0; | |
376 | short timeEstimate = 0; | |
377 | Float_t pedEstimate = 0; | |
378 | Int_t first = 0; | |
379 | Int_t last = 0; | |
380 | Int_t bunchIndex = 0; | |
381 | // | |
382 | // The PreFitEvaluateSamples + later call to FitRaw will hopefully | |
383 | // be replaced by a single Evaluate call or so soon, like for the other | |
384 | // methods, but this should be good enough for evaluation of | |
385 | // the methods for now (Jan. 2010) | |
386 | // | |
387 | int nsamples = fRawAnalyzer->PreFitEvaluateSamples( bunchlist, in.GetAltroCFG1(), in.GetAltroCFG2(), bunchIndex, ampEstimate, maxADC, timeEstimate, pedEstimate, first, last); | |
7643e728 | 388 | |
16605c06 | 389 | if (ampEstimate > fNoiseThreshold) { // something worth looking at |
7643e728 | 390 | |
16605c06 | 391 | time = timeEstimate; |
392 | amp = ampEstimate; | |
393 | ||
394 | if ( nsamples > 1 ) { // possibly something to fit | |
395 | FitRaw(first, last, amp, time); | |
9f467289 | 396 | } |
16605c06 | 397 | |
398 | if ( amp>0 && time>0 ) { // brief sanity check of fit results | |
399 | ||
400 | // check fit results: should be consistent with initial estimates | |
401 | // more magic numbers, but very loose cuts, for now.. | |
402 | // We have checked that amp and ampEstimate values are positive so division for assymmetry | |
403 | // calculation should be OK/safe | |
404 | Float_t ampAsymm = (amp - ampEstimate)/(amp + ampEstimate); | |
405 | if ( (TMath::Abs(ampAsymm) > 0.1) ) { | |
406 | AliDebug(2,Form("Fit results amp %f time %f not consistent with expectations ped %f max-ped %f time %d", | |
407 | amp, time, pedEstimate, ampEstimate, timeEstimate)); | |
408 | ||
409 | // what should do we do then? skip this channel or assign the simple estimate? | |
410 | // for now just overwrite the fit results with the simple estimate | |
411 | amp = ampEstimate; | |
412 | time = timeEstimate; | |
413 | } // asymm check | |
414 | } // amp & time check | |
415 | } // ampEstimate check | |
416 | } // method selection | |
417 | ||
418 | if (amp > fNoiseThreshold) { // something to be stored | |
419 | Int_t id = fGeom->GetAbsCellIdFromCellIndexes(in.GetModule(), in.GetRow(), in.GetColumn()) ; | |
7643e728 | 420 | lowGain = in.IsLowGain(); |
421 | ||
16605c06 | 422 | // go from time-bin units to physical time fgtimetrigger |
423 | time = time * GetRawFormatTimeBinWidth(); // skip subtraction of fgTimeTrigger? | |
7643e728 | 424 | |
425 | AliDebug(2,Form("id %d lowGain %d amp %g", id, lowGain, amp)); | |
426 | // printf("Added tower: SM %d, row %d, column %d, amp %3.2f\n",in.GetModule(), in.GetRow(), in.GetColumn(),amp); | |
427 | // round off amplitude value to nearest integer | |
428 | AddDigit(digitsArr, id, lowGain, TMath::Nint(amp), time); | |
429 | } | |
430 | ||
32cd4c24 | 431 | } // end while over channel |
432 | } //end while over DDL's, of input stream | |
16605c06 | 433 | |
ee299369 | 434 | return ; |
435 | } | |
436 | ||
437 | //____________________________________________________________________________ | |
82cbdfca | 438 | void AliEMCALRawUtils::AddDigit(TClonesArray *digitsArr, Int_t id, Int_t lowGain, Int_t amp, Float_t time) { |
439 | // | |
440 | // Add a new digit. | |
441 | // This routine checks whether a digit exists already for this tower | |
442 | // and then decides whether to use the high or low gain info | |
443 | // | |
444 | // Called by Raw2Digits | |
445 | ||
446 | AliEMCALDigit *digit = 0, *tmpdigit = 0; | |
82cbdfca | 447 | TIter nextdigit(digitsArr); |
448 | while (digit == 0 && (tmpdigit = (AliEMCALDigit*) nextdigit())) { | |
449 | if (tmpdigit->GetId() == id) | |
450 | digit = tmpdigit; | |
451 | } | |
452 | ||
453 | if (!digit) { // no digit existed for this tower; create one | |
a7ec7165 | 454 | if (lowGain && amp > fgkOverflowCut) |
82cbdfca | 455 | amp = Int_t(fHighLowGainFactor * amp); |
456 | Int_t idigit = digitsArr->GetEntries(); | |
457 | new((*digitsArr)[idigit]) AliEMCALDigit( -1, -1, id, amp, time, idigit) ; | |
458 | } | |
459 | else { // a digit already exists, check range | |
b4133f05 | 460 | // (use high gain if signal < cut value, otherwise low gain) |
82cbdfca | 461 | if (lowGain) { // new digit is low gain |
b4133f05 | 462 | if (digit->GetAmp() > fgkOverflowCut) { // use if stored digit is out of range |
82cbdfca | 463 | digit->SetAmp(Int_t(fHighLowGainFactor * amp)); |
464 | digit->SetTime(time); | |
465 | } | |
466 | } | |
b4133f05 | 467 | else if (amp < fgkOverflowCut) { // new digit is high gain; use if not out of range |
82cbdfca | 468 | digit->SetAmp(amp); |
469 | digit->SetTime(time); | |
470 | } | |
471 | } | |
472 | } | |
473 | ||
474 | //____________________________________________________________________________ | |
16605c06 | 475 | void AliEMCALRawUtils::FitRaw(const Int_t firstTimeBin, const Int_t lastTimeBin, Float_t & amp, Float_t & time) const |
476 | { // Fits the raw signal time distribution | |
477 | ||
478 | //-------------------------------------------------- | |
479 | //Do the fit, different fitting algorithms available | |
480 | //-------------------------------------------------- | |
481 | int nsamples = lastTimeBin - firstTimeBin + 1; | |
ee299369 | 482 | |
16605c06 | 483 | switch(fFittingAlgorithm) { |
484 | case kStandard: | |
485 | { | |
7683df1d | 486 | if (nsamples < 3) { return; } // nothing much to fit |
16605c06 | 487 | //printf("Standard fitter \n"); |
7683df1d | 488 | |
16605c06 | 489 | // Create Graph to hold data we will fit |
7683df1d | 490 | TGraph *gSig = new TGraph( nsamples); |
491 | for (int i=0; i<nsamples; i++) { | |
492 | Int_t timebin = firstTimeBin + i; | |
493 | gSig->SetPoint(timebin, timebin, fRawAnalyzer->GetReversed(timebin)); | |
494 | } | |
495 | ||
16605c06 | 496 | TF1 * signalF = new TF1("signal", RawResponseFunction, 0, GetRawFormatTimeBins(), 5); |
497 | signalF->SetParameters(10.,5.,fTau,fOrder,0.); //set all defaults once, just to be safe | |
498 | signalF->SetParNames("amp","t0","tau","N","ped"); | |
499 | signalF->FixParameter(2,fTau); // tau in units of time bin | |
500 | signalF->FixParameter(3,fOrder); // order | |
501 | signalF->FixParameter(4, 0); // pedestal should be subtracted when we get here | |
502 | signalF->SetParameter(1, time); | |
503 | signalF->SetParameter(0, amp); | |
504 | ||
505 | gSig->Fit(signalF, "QROW"); // Note option 'W': equal errors on all points | |
506 | ||
507 | // assign fit results | |
508 | amp = signalF->GetParameter(0); | |
509 | time = signalF->GetParameter(1); | |
e9dbb64a | 510 | |
16605c06 | 511 | delete signalF; |
512 | ||
513 | // cross-check with ParabolaFit to see if the results make sense | |
514 | FitParabola(gSig, amp); // amp is possibly updated | |
82cbdfca | 515 | |
16605c06 | 516 | //printf("Std : Amp %f, time %g\n",amp, time); |
7683df1d | 517 | delete gSig; // delete TGraph |
16605c06 | 518 | |
519 | break; | |
520 | }//kStandard Fitter | |
521 | //---------------------------- | |
7683df1d | 522 | case kLogFit: |
16605c06 | 523 | { |
7683df1d | 524 | if (nsamples < 3) { return; } // nothing much to fit |
525 | //printf("LogFit \n"); | |
526 | ||
527 | // Create Graph to hold data we will fit | |
528 | TGraph *gSigLog = new TGraph( nsamples); | |
529 | for (int i=0; i<nsamples; i++) { | |
530 | Int_t timebin = firstTimeBin + i; | |
531 | gSigLog->SetPoint(timebin, timebin, TMath::Log(fRawAnalyzer->GetReversed(timebin) ) ); | |
7643e728 | 532 | } |
7683df1d | 533 | |
534 | TF1 * signalFLog = new TF1("signalLog", RawResponseFunctionLog, 0, GetRawFormatTimeBins(), 5); | |
535 | signalFLog->SetParameters(2.3, 5.,fTau,fOrder,0.); //set all defaults once, just to be safe | |
536 | signalFLog->SetParNames("amplog","t0","tau","N","ped"); | |
537 | signalFLog->FixParameter(2,fTau); // tau in units of time bin | |
538 | signalFLog->FixParameter(3,fOrder); // order | |
539 | signalFLog->FixParameter(4, 0); // pedestal should be subtracted when we get here | |
540 | signalFLog->SetParameter(1, time); | |
541 | if (amp>=1) { | |
542 | signalFLog->SetParameter(0, TMath::Log(amp)); | |
16605c06 | 543 | } |
7683df1d | 544 | |
545 | gSigLog->Fit(signalFLog, "QROW"); // Note option 'W': equal errors on all points | |
546 | ||
547 | // assign fit results | |
548 | Double_t amplog = signalFLog->GetParameter(0); //Not Amp, but Log of Amp | |
549 | amp = TMath::Exp(amplog); | |
550 | time = signalFLog->GetParameter(1); | |
551 | ||
552 | delete signalFLog; | |
553 | //printf("LogFit: Amp %f, time %g\n",amp, time); | |
554 | delete gSigLog; | |
16605c06 | 555 | break; |
7683df1d | 556 | } //kLogFit |
557 | //---------------------------- | |
558 | ||
16605c06 | 559 | //---------------------------- |
560 | }//switch fitting algorithms | |
fb070798 | 561 | |
16605c06 | 562 | return; |
563 | } | |
8cb998bd | 564 | |
16605c06 | 565 | //__________________________________________________________________ |
566 | void AliEMCALRawUtils::FitParabola(const TGraph *gSig, Float_t & amp) const | |
567 | { | |
568 | //BEG YS alternative methods to calculate the amplitude | |
569 | Double_t * ymx = gSig->GetX() ; | |
570 | Double_t * ymy = gSig->GetY() ; | |
571 | const Int_t kN = 3 ; | |
572 | Double_t ymMaxX[kN] = {0., 0., 0.} ; | |
573 | Double_t ymMaxY[kN] = {0., 0., 0.} ; | |
574 | Double_t ymax = 0. ; | |
575 | // find the maximum amplitude | |
576 | Int_t ymiMax = 0 ; | |
577 | for (Int_t ymi = 0; ymi < gSig->GetN(); ymi++) { | |
578 | if (ymy[ymi] > ymMaxY[0] ) { | |
579 | ymMaxY[0] = ymy[ymi] ; //<========== This is the maximum amplitude | |
580 | ymMaxX[0] = ymx[ymi] ; | |
581 | ymiMax = ymi ; | |
582 | } | |
583 | } | |
584 | // find the maximum by fitting a parabola through the max and the two adjacent samples | |
585 | if ( ymiMax < gSig->GetN()-1 && ymiMax > 0) { | |
586 | ymMaxY[1] = ymy[ymiMax+1] ; | |
587 | ymMaxY[2] = ymy[ymiMax-1] ; | |
588 | ymMaxX[1] = ymx[ymiMax+1] ; | |
589 | ymMaxX[2] = ymx[ymiMax-1] ; | |
590 | if (ymMaxY[0]*ymMaxY[1]*ymMaxY[2] > 0) { | |
591 | //fit a parabola through the 3 points y= a+bx+x*x*x | |
592 | Double_t sy = 0 ; | |
593 | Double_t sx = 0 ; | |
594 | Double_t sx2 = 0 ; | |
595 | Double_t sx3 = 0 ; | |
596 | Double_t sx4 = 0 ; | |
597 | Double_t sxy = 0 ; | |
598 | Double_t sx2y = 0 ; | |
599 | for (Int_t i = 0; i < kN ; i++) { | |
600 | sy += ymMaxY[i] ; | |
601 | sx += ymMaxX[i] ; | |
602 | sx2 += ymMaxX[i]*ymMaxX[i] ; | |
603 | sx3 += ymMaxX[i]*ymMaxX[i]*ymMaxX[i] ; | |
604 | sx4 += ymMaxX[i]*ymMaxX[i]*ymMaxX[i]*ymMaxX[i] ; | |
605 | sxy += ymMaxX[i]*ymMaxY[i] ; | |
606 | sx2y += ymMaxX[i]*ymMaxX[i]*ymMaxY[i] ; | |
607 | } | |
608 | Double_t cN = (sx2y*kN-sy*sx2)*(sx3*sx-sx2*sx2)-(sx2y*sx-sxy*sx2)*(sx3*kN-sx*sx2); | |
609 | Double_t cD = (sx4*kN-sx2*sx2)*(sx3*sx-sx2*sx2)-(sx4*sx-sx3*sx2)*(sx3*kN-sx*sx2) ; | |
610 | Double_t c = cN / cD ; | |
611 | Double_t b = ((sx2y*kN-sy*sx2)-c*(sx4*kN-sx2*sx2))/(sx3*kN-sx*sx2) ; | |
612 | Double_t a = (sy-b*sx-c*sx2)/kN ; | |
613 | Double_t xmax = -b/(2*c) ; | |
614 | ymax = a + b*xmax + c*xmax*xmax ;//<========== This is the maximum amplitude | |
615 | } | |
616 | } | |
617 | ||
618 | Double_t diff = TMath::Abs(1-ymMaxY[0]/amp) ; | |
619 | if (diff > 0.1) | |
620 | amp = ymMaxY[0] ; | |
621 | //printf("Yves : Amp %f, time %g\n",amp, time); | |
622 | //END YS | |
ee299369 | 623 | return; |
624 | } | |
16605c06 | 625 | |
ee299369 | 626 | //__________________________________________________________________ |
627 | Double_t AliEMCALRawUtils::RawResponseFunction(Double_t *x, Double_t *par) | |
628 | { | |
8cb998bd | 629 | // Matches version used in 2007 beam test |
630 | // | |
ee299369 | 631 | // Shape of the electronics raw reponse: |
632 | // It is a semi-gaussian, 2nd order Gamma function of the general form | |
633 | // | |
7643e728 | 634 | // xx = (t - t0 + tau) / tau [xx is just a convenient help variable] |
635 | // F = A * (xx**N * exp( N * ( 1 - xx) ) for xx >= 0 | |
636 | // F = 0 for xx < 0 | |
ee299369 | 637 | // |
638 | // parameters: | |
8cb998bd | 639 | // A: par[0] // Amplitude = peak value |
640 | // t0: par[1] | |
641 | // tau: par[2] | |
642 | // N: par[3] | |
643 | // ped: par[4] | |
ee299369 | 644 | // |
645 | Double_t signal ; | |
8cb998bd | 646 | Double_t tau =par[2]; |
e5bbbc4e | 647 | Double_t n =par[3]; |
8cb998bd | 648 | Double_t ped = par[4]; |
649 | Double_t xx = ( x[0] - par[1] + tau ) / tau ; | |
ee299369 | 650 | |
5a056daa | 651 | if (xx <= 0) |
8cb998bd | 652 | signal = ped ; |
ee299369 | 653 | else { |
e5bbbc4e | 654 | signal = ped + par[0] * TMath::Power(xx , n) * TMath::Exp(n * (1 - xx )) ; |
ee299369 | 655 | } |
656 | return signal ; | |
657 | } | |
658 | ||
7683df1d | 659 | //__________________________________________________________________ |
660 | Double_t AliEMCALRawUtils::RawResponseFunctionLog(Double_t *x, Double_t *par) | |
661 | { | |
662 | // Matches version used in 2007 beam test | |
663 | // | |
664 | // Shape of the electronics raw reponse: | |
665 | // It is a semi-gaussian, 2nd order Gamma function of the general form | |
666 | // | |
667 | // xx = (t - t0 + tau) / tau [xx is just a convenient help variable] | |
668 | // F = A * (xx**N * exp( N * ( 1 - xx) ) for xx >= 0 | |
669 | // F = 0 for xx < 0 | |
670 | // | |
671 | // parameters: | |
672 | // Log[A]: par[0] // Amplitude = peak value | |
673 | // t0: par[1] | |
674 | // tau: par[2] | |
675 | // N: par[3] | |
676 | // ped: par[4] | |
677 | // | |
678 | Double_t signal ; | |
679 | Double_t tau =par[2]; | |
680 | Double_t n =par[3]; | |
681 | //Double_t ped = par[4]; // not used | |
682 | Double_t xx = ( x[0] - par[1] + tau ) / tau ; | |
683 | ||
684 | if (xx < 0) | |
685 | signal = par[0] - n*TMath::Log(TMath::Abs(xx)) + n * (1 - xx ) ; | |
686 | else { | |
687 | signal = par[0] + n*TMath::Log(xx) + n * (1 - xx ) ; | |
688 | } | |
689 | return signal ; | |
690 | } | |
691 | ||
ee299369 | 692 | //__________________________________________________________________ |
4fe71e02 | 693 | Bool_t AliEMCALRawUtils::RawSampledResponse( |
694 | const Double_t dtime, const Double_t damp, Int_t * adcH, Int_t * adcL) const | |
ee299369 | 695 | { |
696 | // for a start time dtime and an amplitude damp given by digit, | |
697 | // calculates the raw sampled response AliEMCAL::RawResponseFunction | |
698 | ||
ee299369 | 699 | Bool_t lowGain = kFALSE ; |
700 | ||
48a56166 | 701 | // A: par[0] // Amplitude = peak value |
702 | // t0: par[1] | |
703 | // tau: par[2] | |
704 | // N: par[3] | |
705 | // ped: par[4] | |
706 | ||
56e13066 | 707 | TF1 signalF("signal", RawResponseFunction, 0, GetRawFormatTimeBins(), 5); |
48a56166 | 708 | signalF.SetParameter(0, damp) ; |
56e13066 | 709 | signalF.SetParameter(1, (dtime + fgTimeTrigger)/fgTimeBinWidth) ; |
b4133f05 | 710 | signalF.SetParameter(2, fTau) ; |
711 | signalF.SetParameter(3, fOrder); | |
fe93d365 | 712 | signalF.SetParameter(4, fgPedestalValue); |
ee299369 | 713 | |
714 | for (Int_t iTime = 0; iTime < GetRawFormatTimeBins(); iTime++) { | |
4fe71e02 | 715 | Double_t signal = signalF.Eval(iTime) ; |
fe93d365 | 716 | |
7643e728 | 717 | // Next lines commeted for the moment but in principle it is not necessary to add |
ff10f540 | 718 | // extra noise since noise already added at the digits level. |
7643e728 | 719 | |
fe93d365 | 720 | //According to Terry Awes, 13-Apr-2008 |
721 | //add gaussian noise in quadrature to each sample | |
09974781 | 722 | //Double_t noise = gRandom->Gaus(0.,fgFEENoise); |
fe93d365 | 723 | //signal = sqrt(signal*signal + noise*noise); |
724 | ||
e2c2134b | 725 | // March 17,09 for fast fit simulations by Alexei Pavlinov. |
4fe71e02 | 726 | // Get from PHOS analysis. In some sense it is open questions. |
727 | //Double_t noise = gRandom->Gaus(0.,fgFEENoise); | |
728 | //signal += noise; | |
7643e728 | 729 | |
ee299369 | 730 | adcH[iTime] = static_cast<Int_t>(signal + 0.5) ; |
b4133f05 | 731 | if ( adcH[iTime] > fgkRawSignalOverflow ){ // larger than 10 bits |
732 | adcH[iTime] = fgkRawSignalOverflow ; | |
ee299369 | 733 | lowGain = kTRUE ; |
734 | } | |
735 | ||
736 | signal /= fHighLowGainFactor; | |
737 | ||
738 | adcL[iTime] = static_cast<Int_t>(signal + 0.5) ; | |
b4133f05 | 739 | if ( adcL[iTime] > fgkRawSignalOverflow) // larger than 10 bits |
740 | adcL[iTime] = fgkRawSignalOverflow ; | |
ee299369 | 741 | } |
742 | return lowGain ; | |
743 | } | |
4fe71e02 | 744 | |
745 | //__________________________________________________________________ | |
746 | void AliEMCALRawUtils::SetFittingAlgorithm(Int_t fitAlgo) | |
747 | { | |
748 | //Set fitting algorithm and initialize it if this same algorithm was not set before. | |
749 | ||
750 | if(fitAlgo == fFittingAlgorithm && fRawAnalyzer) { | |
751 | //Do nothing, this same algorithm already set before. | |
752 | //printf("**** Algorithm already set before, number %d, %s ****\n",fitAlgo, fRawAnalyzer->GetName()); | |
753 | return; | |
754 | } | |
755 | //Initialize the requested algorithm | |
756 | if(fitAlgo != fFittingAlgorithm || !fRawAnalyzer) { | |
757 | //printf("**** Init Algorithm , number %d ****\n",fitAlgo); | |
758 | ||
759 | fFittingAlgorithm = fitAlgo; | |
760 | if (fRawAnalyzer) delete fRawAnalyzer; // delete prev. analyzer if existed. | |
761 | ||
762 | if (fitAlgo == kFastFit) { | |
763 | fRawAnalyzer = new AliCaloRawAnalyzerFastFit(); | |
764 | } | |
765 | else if (fitAlgo == kNeuralNet) { | |
766 | fRawAnalyzer = new AliCaloRawAnalyzerNN(); | |
767 | } | |
768 | else if (fitAlgo == kLMS) { | |
769 | fRawAnalyzer = new AliCaloRawAnalyzerLMS(); | |
770 | } | |
771 | else if (fitAlgo == kPeakFinder) { | |
772 | fRawAnalyzer = new AliCaloRawAnalyzerPeakFinder(); | |
773 | } | |
774 | else if (fitAlgo == kCrude) { | |
775 | fRawAnalyzer = new AliCaloRawAnalyzerCrude(); | |
776 | } | |
777 | else { | |
778 | fRawAnalyzer = new AliCaloRawAnalyzer(); | |
779 | } | |
780 | } | |
781 | ||
782 | } | |
783 | ||
784 |