Reducing the memory size needed for raw data reconstruction
[u/mrichter/AliRoot.git] / TRD / AliTRDclusterizerV1.cxx
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cb86ff6e 1
f7336fa3 2/**************************************************************************
3 * Copyright(c) 1998-1999, ALICE Experiment at CERN, All rights reserved. *
4 * *
5 * Author: The ALICE Off-line Project. *
6 * Contributors are mentioned in the code where appropriate. *
7 * *
8 * Permission to use, copy, modify and distribute this software and its *
9 * documentation strictly for non-commercial purposes is hereby granted *
10 * without fee, provided that the above copyright notice appears in all *
11 * copies and that both the copyright notice and this permission notice *
12 * appear in the supporting documentation. The authors make no claims *
13 * about the suitability of this software for any purpose. It is *
14 * provided "as is" without express or implied warranty. *
15 **************************************************************************/
16
88cb7938 17/* $Id$ */
f7336fa3 18
19///////////////////////////////////////////////////////////////////////////////
20// //
21// TRD cluster finder for the slow simulator.
22// //
23///////////////////////////////////////////////////////////////////////////////
24
25#include <TF1.h>
94de3818 26#include <TTree.h>
793ff80c 27#include <TH1.h>
a819a5f7 28#include <TFile.h>
f7336fa3 29
793ff80c 30#include "AliRun.h"
88cb7938 31#include "AliRunLoader.h"
32#include "AliLoader.h"
928e9fae 33#include "AliRawReader.h"
793ff80c 34
f7336fa3 35#include "AliTRDclusterizerV1.h"
36#include "AliTRDmatrix.h"
37#include "AliTRDgeometry.h"
6f1e466d 38#include "AliTRDdataArrayF.h"
793ff80c 39#include "AliTRDdataArrayI.h"
40#include "AliTRDdigitsManager.h"
a5cadd36 41#include "AliTRDpadPlane.h"
928e9fae 42#include "AliTRDrawData.h"
3551db50 43#include "AliTRDcalibDB.h"
3becff3c 44#include "AliTRDSimParam.h"
3551db50 45#include "AliTRDRecParam.h"
46#include "AliTRDCommonParam.h"
c85a4951 47#include "AliTRDcluster.h"
f7336fa3 48
49ClassImp(AliTRDclusterizerV1)
50
51//_____________________________________________________________________________
52AliTRDclusterizerV1::AliTRDclusterizerV1():AliTRDclusterizer()
53{
54 //
55 // AliTRDclusterizerV1 default constructor
56 //
57
17b26de4 58 fDigitsManager = 0;
db30bf0f 59
f7336fa3 60}
61
62//_____________________________________________________________________________
63AliTRDclusterizerV1::AliTRDclusterizerV1(const Text_t* name, const Text_t* title)
64 :AliTRDclusterizer(name,title)
65{
66 //
67 // AliTRDclusterizerV1 default constructor
68 //
69
6f1e466d 70 fDigitsManager = new AliTRDdigitsManager();
17b26de4 71 fDigitsManager->CreateArrays();
f7336fa3 72
73}
74
8230f242 75//_____________________________________________________________________________
dd9a6ee3 76AliTRDclusterizerV1::AliTRDclusterizerV1(const AliTRDclusterizerV1 &c)
73ae7b59 77:AliTRDclusterizer(c)
8230f242 78{
79 //
80 // AliTRDclusterizerV1 copy constructor
81 //
82
dd9a6ee3 83 ((AliTRDclusterizerV1 &) c).Copy(*this);
8230f242 84
85}
86
f7336fa3 87//_____________________________________________________________________________
88AliTRDclusterizerV1::~AliTRDclusterizerV1()
89{
8230f242 90 //
91 // AliTRDclusterizerV1 destructor
92 //
f7336fa3 93
6f1e466d 94 if (fDigitsManager) {
95 delete fDigitsManager;
abaf1f1d 96 fDigitsManager = NULL;
f7336fa3 97 }
98
99}
100
dd9a6ee3 101//_____________________________________________________________________________
102AliTRDclusterizerV1 &AliTRDclusterizerV1::operator=(const AliTRDclusterizerV1 &c)
103{
104 //
105 // Assignment operator
106 //
107
108 if (this != &c) ((AliTRDclusterizerV1 &) c).Copy(*this);
109 return *this;
110
111}
112
8230f242 113//_____________________________________________________________________________
e0d47c25 114void AliTRDclusterizerV1::Copy(TObject &c) const
8230f242 115{
116 //
117 // Copy function
118 //
119
17b26de4 120 ((AliTRDclusterizerV1 &) c).fDigitsManager = 0;
8230f242 121
122 AliTRDclusterizer::Copy(c);
123
124}
125
f7336fa3 126//_____________________________________________________________________________
127Bool_t AliTRDclusterizerV1::ReadDigits()
128{
129 //
130 // Reads the digits arrays from the input aliroot file
131 //
132
88cb7938 133 if (!fRunLoader) {
17b26de4 134 printf("<AliTRDclusterizerV1::ReadDigits> ");
f7336fa3 135 printf("No input file open\n");
136 return kFALSE;
137 }
88cb7938 138 AliLoader* loader = fRunLoader->GetLoader("TRDLoader");
139 if (!loader->TreeD()) loader->LoadDigits();
abaf1f1d 140
f7336fa3 141 // Read in the digit arrays
88cb7938 142 return (fDigitsManager->ReadDigits(loader->TreeD()));
f7336fa3 143
144}
145
928e9fae 146//_____________________________________________________________________________
147Bool_t AliTRDclusterizerV1::ReadDigits(AliRawReader* rawReader)
148{
149 //
150 // Reads the digits arrays from the ddl file
151 //
152
4ab68796 153 AliTRDrawData raw;
154 raw.SetDebug(1);
928e9fae 155
4ab68796 156 fDigitsManager = raw.Raw2Digits(rawReader);
928e9fae 157
158 return kTRUE;
159
160}
161
f7336fa3 162//_____________________________________________________________________________
793ff80c 163Bool_t AliTRDclusterizerV1::MakeClusters()
f7336fa3 164{
165 //
166 // Generates the cluster.
167 //
168
169 Int_t row, col, time;
170
bdbb05bb 171 /*
3e1a3ad8 172 if (fTRD->IsVersion() != 1) {
17b26de4 173 printf("<AliTRDclusterizerV1::MakeCluster> ");
f7336fa3 174 printf("TRD must be version 1 (slow simulator).\n");
175 return kFALSE;
176 }
bdbb05bb 177 */
f7336fa3 178
179 // Get the geometry
cb86ff6e 180 AliTRDgeometry *geo = AliTRDgeometry::GetGeometry(fRunLoader);
3551db50 181 AliTRDcalibDB* calibration = AliTRDcalibDB::Instance();
182 if (!calibration)
183 {
3becff3c 184 printf("<AliTRDclusterizerV1::MakeCluster> ");
3551db50 185 printf("ERROR getting instance of AliTRDcalibDB");
186 return kFALSE;
187 }
188
3becff3c 189 AliTRDSimParam* simParam = AliTRDSimParam::Instance();
190 if (!simParam)
191 {
192 printf("<AliTRDclusterizerV1::MakeCluster> ");
193 printf("ERROR getting instance of AliTRDSimParam");
194 return kFALSE;
195 }
196
3551db50 197 AliTRDRecParam* recParam = AliTRDRecParam::Instance();
198 if (!recParam)
199 {
3becff3c 200 printf("<AliTRDclusterizerV1::MakeCluster> ");
3551db50 201 printf("ERROR getting instance of AliTRDRecParam");
202 return kFALSE;
203 }
204
205 AliTRDCommonParam* commonParam = AliTRDCommonParam::Instance();
206 if (!commonParam)
207 {
3becff3c 208 printf("<AliTRDclusterizerV1::MakeDigits> ");
3551db50 209 printf("Could not get common params\n");
210 return kFALSE;
211 }
212
a305677e 213 Float_t ADCthreshold = simParam->GetADCthreshold();
214
47517f42 215 if (fVerbose > 0) {
3551db50 216 //printf("<AliTRDclusterizerV1::MakeCluster> ");
217 //printf("OmegaTau = %f \n",omegaTau);
17b26de4 218 printf("<AliTRDclusterizerV1::MakeCluster> ");
47517f42 219 printf("Start creating clusters.\n");
220 }
f7336fa3 221
3becff3c 222 AliTRDdataArrayI *digitsIn;
793ff80c 223 AliTRDdataArrayI *track0;
224 AliTRDdataArrayI *track1;
225 AliTRDdataArrayI *track2;
f7336fa3 226
3e1a3ad8 227 // Threshold value for the maximum
11dc3a9e 228 Float_t maxThresh = recParam->GetClusMaxThresh();
3e1a3ad8 229 // Threshold value for the digit signal
11dc3a9e 230 Float_t sigThresh = recParam->GetClusSigThresh();
f7336fa3 231 // Iteration limit for unfolding procedure
8230f242 232 const Float_t kEpsilon = 0.01;
f7336fa3 233
8230f242 234 const Int_t kNclus = 3;
235 const Int_t kNsig = 5;
3e1a3ad8 236 const Int_t kNtrack = 3 * kNclus;
237
a5cadd36 238 Int_t iType = 0;
7ad19338 239 Int_t iUnfold = 0;
a5cadd36 240 Double_t ratioLeft = 1.0;
241 Double_t ratioRight = 1.0;
db30bf0f 242
7ad19338 243 //
a5cadd36 244 Double_t padSignal[kNsig];
245 Double_t clusterSignal[kNclus];
246 Double_t clusterPads[kNclus];
11dc3a9e 247 Int_t clusterTracks[kNtrack];
f7336fa3 248
a5cadd36 249 Int_t chamBeg = 0;
250 Int_t chamEnd = AliTRDgeometry::Ncham();
251 Int_t planBeg = 0;
252 Int_t planEnd = AliTRDgeometry::Nplan();
253 Int_t sectBeg = 0;
254 Int_t sectEnd = AliTRDgeometry::Nsect();
f7336fa3 255
3becff3c 256 Int_t nTimeTotal = calibration->GetNumberOfTimeBins();
257
258 if (fVerbose > 0) {
259 printf("<AliTRDclusterizerV1::MakeCluster> ");
260 printf("Number of Time Bins = %d.\n",nTimeTotal);
261 }
262
3e1a3ad8 263 // Start clustering in every chamber
f7336fa3 264 for (Int_t icham = chamBeg; icham < chamEnd; icham++) {
265 for (Int_t iplan = planBeg; iplan < planEnd; iplan++) {
266 for (Int_t isect = sectBeg; isect < sectEnd; isect++) {
267
3becff3c 268 Int_t idet = geo->GetDetector(iplan,icham,isect);
269
270 Int_t nRowMax = commonParam->GetRowMax(iplan,icham,isect);
271 Int_t nColMax = commonParam->GetColMax(iplan);
f7336fa3 272
db30bf0f 273 Int_t nClusters = 0;
274 Int_t nClusters2pad = 0;
275 Int_t nClusters3pad = 0;
276 Int_t nClusters4pad = 0;
277 Int_t nClusters5pad = 0;
278 Int_t nClustersLarge = 0;
3e1a3ad8 279
47517f42 280 if (fVerbose > 0) {
17b26de4 281 printf("<AliTRDclusterizerV1::MakeCluster> ");
47517f42 282 printf("Analyzing chamber %d, plane %d, sector %d.\n"
283 ,icham,iplan,isect);
284 }
f7336fa3 285
3551db50 286 AliTRDpadPlane *padPlane = commonParam->GetPadPlane(iplan,icham);
f7336fa3 287
3e1a3ad8 288 // Get the digits
11dc3a9e 289 digitsIn = fDigitsManager->GetDigits(idet);
3becff3c 290 digitsIn->Expand();
11dc3a9e 291 AliTRDdataArrayF *digitsOut = new AliTRDdataArrayF(digitsIn->GetNrow(), digitsIn->GetNcol(), digitsIn->GetNtime());
3becff3c 292
11dc3a9e 293 Transform(digitsIn, digitsOut, idet, nRowMax, nColMax, nTimeTotal, ADCthreshold);
3becff3c 294
793ff80c 295 track0 = fDigitsManager->GetDictionary(idet,0);
3e1a3ad8 296 track0->Expand();
793ff80c 297 track1 = fDigitsManager->GetDictionary(idet,1);
3e1a3ad8 298 track1->Expand();
793ff80c 299 track2 = fDigitsManager->GetDictionary(idet,2);
3e1a3ad8 300 track2->Expand();
301
302 // Loop through the chamber and find the maxima
303 for ( row = 0; row < nRowMax; row++) {
de4b10e5 304 for ( col = 2; col < nColMax; col++) {
3551db50 305 //for ( col = 4; col < nColMax-2; col++) {
3e1a3ad8 306 for (time = 0; time < nTimeTotal; time++) {
307
11dc3a9e 308 Float_t signalL = TMath::Abs(digitsOut->GetDataUnchecked(row,col ,time));
309 Float_t signalM = TMath::Abs(digitsOut->GetDataUnchecked(row,col-1,time));
310 Float_t signalR = TMath::Abs(digitsOut->GetDataUnchecked(row,col-2,time));
3e1a3ad8 311
11dc3a9e 312// // Lonok for the maximum
7ad19338 313// if (signalM >= maxThresh) {
314// if (((signalL >= sigThresh) &&
315// (signalL < signalM)) ||
316// ((signalR >= sigThresh) &&
317// (signalR < signalM))) {
318// // Maximum found, mark the position by a negative signal
3becff3c 319// digitsOut->SetDataUnchecked(row,col-1,time,-signalM);
7ad19338 320// }
321// }
3e1a3ad8 322 // Look for the maximum
db30bf0f 323 if (signalM >= maxThresh) {
de4b10e5 324 if ( (TMath::Abs(signalL)<=signalM) && (TMath::Abs(signalR)<=signalM) &&
325 (TMath::Abs(signalL)+TMath::Abs(signalR))>sigThresh ) {
3e1a3ad8 326 // Maximum found, mark the position by a negative signal
3becff3c 327 digitsOut->SetDataUnchecked(row,col-1,time,-signalM);
3e1a3ad8 328 }
329 }
3e1a3ad8 330 }
331 }
332 }
333
334 // Now check the maxima and calculate the cluster position
335 for ( row = 0; row < nRowMax ; row++) {
db30bf0f 336 for (time = 0; time < nTimeTotal; time++) {
337 for ( col = 1; col < nColMax-1; col++) {
3e1a3ad8 338
339 // Maximum found ?
3becff3c 340 if (digitsOut->GetDataUnchecked(row,col,time) < 0) {
f7336fa3 341
9d0b222b 342 Int_t iPad;
8230f242 343 for (iPad = 0; iPad < kNclus; iPad++) {
3e1a3ad8 344 Int_t iPadCol = col - 1 + iPad;
3becff3c 345 clusterSignal[iPad] = TMath::Abs(digitsOut->GetDataUnchecked(row
3e1a3ad8 346 ,iPadCol
347 ,time));
3e1a3ad8 348 clusterTracks[3*iPad ] = track0->GetDataUnchecked(row,iPadCol,time) - 1;
349 clusterTracks[3*iPad+1] = track1->GetDataUnchecked(row,iPadCol,time) - 1;
350 clusterTracks[3*iPad+2] = track2->GetDataUnchecked(row,iPadCol,time) - 1;
f7336fa3 351 }
352
db30bf0f 353 // Count the number of pads in the cluster
354 Int_t nPadCount = 0;
355 Int_t ii = 0;
3becff3c 356 while (TMath::Abs(digitsOut->GetDataUnchecked(row,col-ii ,time))
db30bf0f 357 >= sigThresh) {
358 nPadCount++;
359 ii++;
360 if (col-ii < 0) break;
361 }
362 ii = 0;
3becff3c 363 while (TMath::Abs(digitsOut->GetDataUnchecked(row,col+ii+1,time))
db30bf0f 364 >= sigThresh) {
365 nPadCount++;
366 ii++;
367 if (col+ii+1 >= nColMax) break;
368 }
369
370 nClusters++;
371 switch (nPadCount) {
372 case 2:
373 iType = 0;
374 nClusters2pad++;
375 break;
376 case 3:
377 iType = 1;
378 nClusters3pad++;
379 break;
380 case 4:
381 iType = 2;
382 nClusters4pad++;
383 break;
384 case 5:
385 iType = 3;
386 nClusters5pad++;
387 break;
388 default:
389 iType = 4;
390 nClustersLarge++;
391 break;
392 };
393
7ad19338 394 // Look for 5 pad cluster with minimum in the middle
db30bf0f 395 Bool_t fivePadCluster = kFALSE;
3e1a3ad8 396 if (col < nColMax-3) {
3becff3c 397 if (digitsOut->GetDataUnchecked(row,col+2,time) < 0) {
db30bf0f 398 fivePadCluster = kTRUE;
399 }
400 if ((fivePadCluster) && (col < nColMax-5)) {
3becff3c 401 if (digitsOut->GetDataUnchecked(row,col+4,time) >= sigThresh) {
db30bf0f 402 fivePadCluster = kFALSE;
403 }
404 }
405 if ((fivePadCluster) && (col > 1)) {
3becff3c 406 if (digitsOut->GetDataUnchecked(row,col-2,time) >= sigThresh) {
db30bf0f 407 fivePadCluster = kFALSE;
408 }
409 }
410 }
411
412 // 5 pad cluster
413 // Modify the signal of the overlapping pad for the left part
414 // of the cluster which remains from a previous unfolding
415 if (iUnfold) {
416 clusterSignal[0] *= ratioLeft;
7ad19338 417 iType = 5;
db30bf0f 418 iUnfold = 0;
419 }
420
421 // Unfold the 5 pad cluster
422 if (fivePadCluster) {
423 for (iPad = 0; iPad < kNsig; iPad++) {
3becff3c 424 padSignal[iPad] = TMath::Abs(digitsOut->GetDataUnchecked(row
425 ,col-1+iPad
426 ,time));
f7336fa3 427 }
db30bf0f 428 // Unfold the two maxima and set the signal on
429 // the overlapping pad to the ratio
17b26de4 430 ratioRight = Unfold(kEpsilon,iplan,padSignal);
db30bf0f 431 ratioLeft = 1.0 - ratioRight;
432 clusterSignal[2] *= ratioRight;
7ad19338 433 iType = 5;
db30bf0f 434 iUnfold = 1;
f7336fa3 435 }
f7336fa3 436
a5cadd36 437 Double_t clusterCharge = clusterSignal[0]
438 + clusterSignal[1]
439 + clusterSignal[2];
3e1a3ad8 440
db30bf0f 441 // The position of the cluster
3e1a3ad8 442 clusterPads[0] = row + 0.5;
3e1a3ad8 443 // Take the shift of the additional time bins into account
dde59437 444 clusterPads[2] = time + 0.5;
3e1a3ad8 445
3551db50 446
447 if (recParam->LUTOn()) {
db30bf0f 448 // Calculate the position of the cluster by using the
449 // lookup table method
3becff3c 450 clusterPads[1] = recParam->LUTposition(iplan,clusterSignal[0]
451 ,clusterSignal[1]
452 ,clusterSignal[2]);
db30bf0f 453 }
454 else {
db30bf0f 455 // Calculate the position of the cluster by using the
456 // center of gravity method
7ad19338 457 for (Int_t i=0;i<5;i++) padSignal[i]=0;
3becff3c 458 padSignal[2] = TMath::Abs(digitsOut->GetDataUnchecked(row,col,time)); // central pad
459 padSignal[1] = TMath::Abs(digitsOut->GetDataUnchecked(row,col-1,time)); // left pad
460 padSignal[3] = TMath::Abs(digitsOut->GetDataUnchecked(row,col+1,time)); // right pad
461 if (col>2 &&TMath::Abs(digitsOut->GetDataUnchecked(row,col-2,time)<padSignal[1])){
462 padSignal[0] = TMath::Abs(digitsOut->GetDataUnchecked(row,col-2,time));
7ad19338 463 }
3becff3c 464 if (col<nColMax-3 &&TMath::Abs(digitsOut->GetDataUnchecked(row,col+2,time)<padSignal[3])){
465 padSignal[4] = TMath::Abs(digitsOut->GetDataUnchecked(row,col+2,time));
7ad19338 466 }
467 clusterPads[1] = GetCOG(padSignal);
db30bf0f 468
469 }
470
a5cadd36 471 Double_t q0 = clusterSignal[0];
472 Double_t q1 = clusterSignal[1];
473 Double_t q2 = clusterSignal[2];
474 Double_t clusterSigmaY2 = (q1*(q0+q2)+4*q0*q2) /
475 (clusterCharge*clusterCharge);
a819a5f7 476
cb86ff6e 477
3551db50 478
479 // Calculate the position and the error
cb86ff6e 480
481 // correct for t0
482 Int_t clusterTimeBin = TMath::Nint(time - calibration->GetT0(idet, col, row));
483
7ad19338 484 Double_t colSize = padPlane->GetColSize(col);
485 Double_t rowSize = padPlane->GetRowSize(row);
a5cadd36 486 Double_t clusterPos[3];
b867ddda 487 clusterPos[0] = padPlane->GetColPos(col) - (clusterPads[1]+0.5)*colSize; // MI change
3becff3c 488 clusterPos[1] = padPlane->GetRowPos(row) - 0.5*rowSize; //MI change
cb86ff6e 489 clusterPos[2] = CalcXposFromTimebin(clusterPads[2], idet, col, row);
a5cadd36 490 Double_t clusterSig[2];
5443e65e 491 clusterSig[0] = (clusterSigmaY2 + 1./12.) * colSize*colSize;
7ad19338 492 clusterSig[1] = rowSize * rowSize / 12.;
3551db50 493
494
f7336fa3 495 // Add the cluster to the output array
c85a4951 496 AliTRDcluster * cluster = AddCluster(clusterPos
cb86ff6e 497 ,clusterTimeBin
3551db50 498 ,idet
a5cadd36 499 ,clusterCharge
500 ,clusterTracks
501 ,clusterSig
3becff3c 502 ,iType,clusterPads[1]);
c85a4951 503 //
504 //
505 Short_t signals[7]={0,0,0,0,0,0,0};
506 for (Int_t jPad = col-3;jPad<=col+3;jPad++){
507 if (jPad<0 ||jPad>=nColMax-1) continue;
11dc3a9e 508 signals[jPad-col+3] = TMath::Nint(TMath::Abs(digitsOut->GetDataUnchecked(row,jPad,time)));
c85a4951 509 }
510 cluster->SetSignals(signals);
f7336fa3 511 }
3e1a3ad8 512 }
513 }
11dc3a9e 514 }
515
516 delete digitsOut;
f7336fa3 517
11dc3a9e 518 // Compress the arrays
3e1a3ad8 519 track0->Compress(1,0);
7ad19338 520 track1->Compress(1,0);
3e1a3ad8 521 track2->Compress(1,0);
f7336fa3 522
3e1a3ad8 523 // Write the cluster and reset the array
793ff80c 524 WriteClusters(idet);
bdbb05bb 525 ResetRecPoints();
3e1a3ad8 526 }
527 }
528 }
f7336fa3 529
47517f42 530 if (fVerbose > 0) {
17b26de4 531 printf("<AliTRDclusterizerV1::MakeCluster> ");
47517f42 532 printf("Done.\n");
533 }
f7336fa3 534
3becff3c 535 //delete digitsIn;
536
f7336fa3 537 return kTRUE;
538
539}
540
a305677e 541//_____________________________________________________________________________
7ad19338 542Double_t AliTRDclusterizerV1::GetCOG(Double_t signal[5])
543{
544 //
545 // get COG position
546 // used for clusters with more than 3 pads - where LUT not applicable
547 Double_t sum = signal[0]+signal[1]+signal[2]+signal[3]+signal[4];
548 Double_t res = (0.0*(-signal[0]+signal[4])+(-signal[1]+signal[3]))/sum;
549 return res;
550}
551
f7336fa3 552//_____________________________________________________________________________
a5cadd36 553Double_t AliTRDclusterizerV1::Unfold(Double_t eps, Int_t plane, Double_t* padSignal)
f7336fa3 554{
555 //
556 // Method to unfold neighbouring maxima.
557 // The charge ratio on the overlapping pad is calculated
558 // until there is no more change within the range given by eps.
559 // The resulting ratio is then returned to the calling method.
560 //
561
6a739e92 562 AliTRDcalibDB* calibration = AliTRDcalibDB::Instance();
563 if (!calibration)
3551db50 564 {
6a739e92 565 printf("<AliTRDclusterizerMI::Unfold> ");
566 printf("ERROR getting instance of AliTRDcalibDB");
567 return kFALSE;
3551db50 568 }
6a739e92 569
a5cadd36 570 Int_t irc = 0;
571 Int_t itStep = 0; // Count iteration steps
f7336fa3 572
a5cadd36 573 Double_t ratio = 0.5; // Start value for ratio
574 Double_t prevRatio = 0; // Store previous ratio
f7336fa3 575
a5cadd36 576 Double_t newLeftSignal[3] = {0}; // Array to store left cluster signal
577 Double_t newRightSignal[3] = {0}; // Array to store right cluster signal
578 Double_t newSignal[3] = {0};
f7336fa3 579
3e1a3ad8 580 // Start the iteration
f7336fa3 581 while ((TMath::Abs(prevRatio - ratio) > eps) && (itStep < 10)) {
582
583 itStep++;
584 prevRatio = ratio;
585
3e1a3ad8 586 // Cluster position according to charge ratio
a5cadd36 587 Double_t maxLeft = (ratio*padSignal[2] - padSignal[0])
588 / (padSignal[0] + padSignal[1] + ratio*padSignal[2]);
589 Double_t maxRight = (padSignal[4] - (1-ratio)*padSignal[2])
590 / ((1-ratio)*padSignal[2] + padSignal[3] + padSignal[4]);
f7336fa3 591
3e1a3ad8 592 // Set cluster charge ratio
6a739e92 593 irc = calibration->PadResponse(1.0,maxLeft ,plane,newSignal);
a5cadd36 594 Double_t ampLeft = padSignal[1] / newSignal[1];
6a739e92 595 irc = calibration->PadResponse(1.0,maxRight,plane,newSignal);
a5cadd36 596 Double_t ampRight = padSignal[3] / newSignal[1];
f7336fa3 597
3e1a3ad8 598 // Apply pad response to parameters
6a739e92 599 irc = calibration->PadResponse(ampLeft ,maxLeft ,plane,newLeftSignal );
600 irc = calibration->PadResponse(ampRight,maxRight,plane,newRightSignal);
f7336fa3 601
3e1a3ad8 602 // Calculate new overlapping ratio
a5cadd36 603 ratio = TMath::Min((Double_t)1.0,newLeftSignal[2] /
db30bf0f 604 (newLeftSignal[2] + newRightSignal[0]));
f7336fa3 605
606 }
607
608 return ratio;
609
610}
611
3becff3c 612//_____________________________________________________________________________
613void AliTRDclusterizerV1::Transform(AliTRDdataArrayI* digitsIn,
11dc3a9e 614 AliTRDdataArrayF* digitsOut,
3becff3c 615 Int_t idet, Int_t nRowMax,
a305677e 616 Int_t nColMax, Int_t nTimeTotal,
617 Float_t ADCthreshold)
3becff3c 618{
619
620 //
cb86ff6e 621 // Apply gain factor
3becff3c 622 // Apply tail cancellation: Transform digitsIn to digitsOut
623 //
624
625
a305677e 626 AliTRDRecParam* recParam = AliTRDRecParam::Instance();
627 if (!recParam)
3becff3c 628 {
629 printf("<AliTRDclusterizerV1::Transform> ");
a305677e 630 printf("ERROR getting instance of AliTRDRecParam");
3becff3c 631 return;
632 }
cb86ff6e 633 AliTRDcalibDB* calibration = AliTRDcalibDB::Instance();
11dc3a9e 634
3becff3c 635 Double_t *inADC = new Double_t[nTimeTotal]; // adc data before tail cancellation
636 Double_t *outADC = new Double_t[nTimeTotal]; // adc data after tail cancellation
637
638 if (fVerbose > 0) {
639 printf("<AliTRDclusterizerV1::Transform> ");
640 printf("Tail cancellation (nExp = %d) for detector %d.\n",
a305677e 641 recParam->GetTCnexp(),idet);
3becff3c 642 }
643
644 for (Int_t iRow = 0; iRow < nRowMax; iRow++ ) {
645 for (Int_t iCol = 0; iCol < nColMax; iCol++ ) {
646 for (Int_t iTime = 0; iTime < nTimeTotal; iTime++) {
cb86ff6e 647 //
648 // add gain
649 //
650 Double_t gain = calibration->GetGainFactor(idet, iCol, iRow);
651 if (gain==0) {
652 AliError("Not a valid gain\n");
653 }
3becff3c 654 inADC[iTime] = digitsIn->GetDataUnchecked(iRow, iCol, iTime);
3becff3c 655
11dc3a9e 656 inADC[iTime] /= gain;
657 outADC[iTime] = inADC[iTime];
3becff3c 658 }
659
660 // Apply the tail cancelation via the digital filter
a305677e 661 if (recParam->TCOn())
3becff3c 662 {
a305677e 663 DeConvExp(inADC,outADC,nTimeTotal,recParam->GetTCnexp());
3becff3c 664 }
665
11dc3a9e 666 for (Int_t iTime = 0; iTime < nTimeTotal; iTime++) {
3becff3c 667 // Store the amplitude of the digit if above threshold
a305677e 668 if (outADC[iTime] > ADCthreshold) {
3becff3c 669 if (fVerbose > 1)
670 {
671 printf(" iRow = %d, iCol = %d, iTime = %d, adc = %f\n"
672 ,iRow,iCol,iTime,outADC[iTime]);
673 }
11dc3a9e 674 digitsOut->SetDataUnchecked(iRow,iCol,iTime,outADC[iTime]);
3becff3c 675 }
676
677 }
678
679 }
680
681 }
682
683 delete [] inADC;
684 delete [] outADC;
685
686 return;
687
688}
689
690
691//_____________________________________________________________________________
692void AliTRDclusterizerV1::DeConvExp(Double_t *source, Double_t *target,
693 Int_t n, Int_t nexp)
694{
695 //
696 // Tail Cancellation by Deconvolution for PASA v4 TRF
697 //
698
699 Double_t rates[2];
700 Double_t coefficients[2];
701
702 // initialize (coefficient = alpha, rates = lambda)
703
704 Double_t R1 = 1.0;
705 Double_t R2 = 1.0;
706 Double_t C1 = 0.5;
707 Double_t C2 = 0.5;
708
709 if (nexp == 1) { // 1 Exponentials
710 R1 = 1.156;
711 R2 = 0.130;
712 C1 = 0.066;
713 C2 = 0.000;
714 }
715 if (nexp == 2) { // 2 Exponentials
716 R1 = 1.156;
717 R2 = 0.130;
718 C1 = 0.114;
719 C2 = 0.624;
720 }
721
722 coefficients[0] = C1;
723 coefficients[1] = C2;
724
725 Double_t Dt = 0.100;
726
727 rates[0] = TMath::Exp(-Dt/(R1));
728 rates[1] = TMath::Exp(-Dt/(R2));
729
730 Int_t i, k;
731 Double_t reminder[2];
732 Double_t correction, result;
733
734 /* attention: computation order is important */
735 correction=0.0;
736
737 for ( k=0; k<nexp; k++ ) reminder[k]=0.0;
738
739 for ( i=0; i<n; i++ ) {
740 result = ( source[i] - correction ); // no rescaling
741 target[i] = result;
742
743 for ( k=0; k<nexp; k++ ) reminder[k] = rates[k] *
744 ( reminder[k] + coefficients[k] * result);
745 correction=0.0;
746 for ( k=0; k<nexp; k++ ) correction += reminder[k];
747 }
748
749}