TRD/AliTRDclusterizerV1.cxx

   1
   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
  17 /* $Id$ */
  18
  19 ///////////////////////////////////////////////////////////////////////////////
  20 //                                                                           //
  21 // TRD cluster finder                                                        //
  22 //                                                                           //
  23 ///////////////////////////////////////////////////////////////////////////////
  24
  25 #include <TF1.h>
  26 #include <TTree.h>
  27 #include <TH1.h>
  28 #include <TFile.h>
  29
  30 #include "AliRun.h"
  31 #include "AliRunLoader.h"
  32 #include "AliLoader.h"
  33 #include "AliRawReader.h"
  34 #include "AliLog.h"
  35
  36 #include "AliTRDclusterizerV1.h"
  37 #include "AliTRDgeometry.h"
  38 #include "AliTRDdataArrayF.h"
  39 #include "AliTRDdataArrayI.h"
  40 #include "AliTRDdigitsManager.h"
  41 #include "AliTRDpadPlane.h"
  42 #include "AliTRDrawData.h"
  43 #include "AliTRDcalibDB.h"
  44 #include "AliTRDSimParam.h"
  45 #include "AliTRDRecParam.h"
  46 #include "AliTRDCommonParam.h"
  47 #include "AliTRDcluster.h"
  48
  49 ClassImp(AliTRDclusterizerV1)
  50
  51 //_____________________________________________________________________________
  52 AliTRDclusterizerV1::AliTRDclusterizerV1()
  53   :AliTRDclusterizer()
  54   ,fDigitsManager(NULL)
  55 {
  56   //
  57   // AliTRDclusterizerV1 default constructor
  58   //
  59
  60 }
  61
  62 //_____________________________________________________________________________
  63 AliTRDclusterizerV1::AliTRDclusterizerV1(const Text_t *name, const Text_t *title)
  64   :AliTRDclusterizer(name,title)
  65   ,fDigitsManager(new AliTRDdigitsManager())
  66 {
  67   //
  68   // AliTRDclusterizerV1 constructor
  69   //
  70
  71   fDigitsManager->CreateArrays();
  72
  73 }
  74
  75 //_____________________________________________________________________________
  76 AliTRDclusterizerV1::AliTRDclusterizerV1(const AliTRDclusterizerV1 &c)
  77   :AliTRDclusterizer(c)
  78   ,fDigitsManager(NULL)
  79 {
  80   //
  81   // AliTRDclusterizerV1 copy constructor
  82   //
  83
  84 }
  85
  86 //_____________________________________________________________________________
  87 AliTRDclusterizerV1::~AliTRDclusterizerV1()
  88 {
  89   //
  90   // AliTRDclusterizerV1 destructor
  91   //
  92
  93   if (fDigitsManager) {
  94     delete fDigitsManager;
  95     fDigitsManager = NULL;
  96   }
  97
  98 }
  99
 100 //_____________________________________________________________________________
 101 AliTRDclusterizerV1 &AliTRDclusterizerV1::operator=(const AliTRDclusterizerV1 &c)
 102 {
 103   //
 104   // Assignment operator
 105   //
 106
 107   if (this != &c) ((AliTRDclusterizerV1 &) c).Copy(*this);
 108   return *this;
 109
 110 }
 111
 112 //_____________________________________________________________________________
 113 void AliTRDclusterizerV1::Copy(TObject &c) const
 114 {
 115   //
 116   // Copy function
 117   //
 118
 119   ((AliTRDclusterizerV1 &) c).fDigitsManager = 0;
 120
 121   AliTRDclusterizer::Copy(c);
 122
 123 }
 124
 125 //_____________________________________________________________________________
 126 Bool_t AliTRDclusterizerV1::ReadDigits()
 127 {
 128   //
 129   // Reads the digits arrays from the input aliroot file
 130   //
 131
 132   if (!fRunLoader) {
 133     AliError("No run loader available");
 134     return kFALSE;
 135   }
 136
 137   AliLoader* loader = fRunLoader->GetLoader("TRDLoader");
 138   if (!loader->TreeD()) {
 139     loader->LoadDigits();
 140   }
 141
 142   // Read in the digit arrays
 143   return (fDigitsManager->ReadDigits(loader->TreeD()));
 144
 145 }
 146
 147 //_____________________________________________________________________________
 148 Bool_t AliTRDclusterizerV1::ReadDigits(AliRawReader *rawReader)
 149 {
 150   //
 151   // Reads the digits arrays from the ddl file
 152   //
 153
 154   AliTRDrawData raw;
 155   fDigitsManager = raw.Raw2Digits(rawReader);
 156
 157   return kTRUE;
 158
 159 }
 160
 161 //_____________________________________________________________________________
 162 Bool_t AliTRDclusterizerV1::MakeClusters()
 163 {
 164   //
 165   // Generates the cluster.
 166   //
 167
 168   Int_t row   = 0;
 169   Int_t col   = 0;
 170   Int_t time  = 0;
 171   Int_t icham = 0;
 172   Int_t iplan = 0;
 173   Int_t isect = 0;
 174   Int_t iPad  = 0;
 175
 176   AliTRDdataArrayI *digitsIn;
 177   AliTRDdataArrayI *tracksIn;
 178
 179   // Get the geometry
 180   AliTRDgeometry *geo            = AliTRDgeometry::GetGeometry(fRunLoader);
 181
 182   AliTRDcalibDB  *calibration    = AliTRDcalibDB::Instance();
 183   if (!calibration) {
 184     AliError("No AliTRDcalibDB instance available\n");
 185     return kFALSE;
 186   }
 187
 188   AliTRDSimParam *simParam       = AliTRDSimParam::Instance();
 189   if (!simParam) {
 190     AliError("No AliTRDSimParam instance available\n");
 191     return kFALSE;
 192   }
 193
 194   AliTRDRecParam *recParam       = AliTRDRecParam::Instance();
 195   if (!recParam) {
 196     AliError("No AliTRDRecParam instance available\n");
 197     return kFALSE;
 198   }
 199
 200   AliTRDCommonParam *commonParam = AliTRDCommonParam::Instance();
 201   if (!commonParam) {
 202     AliError("Could not get common parameters\n");
 203     return kFALSE;
 204   }
 205
 206   // ADC threshols
 207   Float_t ADCthreshold   = simParam->GetADCthreshold();
 208   // Threshold value for the maximum
 209   Float_t maxThresh      = recParam->GetClusMaxThresh();
 210   // Threshold value for the digit signal
 211   Float_t sigThresh      = recParam->GetClusSigThresh();
 212
 213   // Iteration limit for unfolding procedure
 214   const Float_t kEpsilon = 0.01;
 215   const Int_t   kNclus   = 3;
 216   const Int_t   kNsig    = 5;
 217   const Int_t   kNdict   = AliTRDdigitsManager::kNDict;
 218   const Int_t   kNtrack  = kNdict * kNclus;
 219
 220   Int_t    iType         = 0;
 221   Int_t    iUnfold       = 0;
 222   Double_t ratioLeft     = 1.0;
 223   Double_t ratioRight    = 1.0;
 224
 225   Int_t    iClusterROC   = 0;
 226
 227   Double_t padSignal[kNsig];
 228   Double_t clusterSignal[kNclus];
 229   Double_t clusterPads[kNclus];
 230
 231   Int_t    chamBeg    = 0;
 232   Int_t    chamEnd    = AliTRDgeometry::Ncham();
 233   Int_t    planBeg    = 0;
 234   Int_t    planEnd    = AliTRDgeometry::Nplan();
 235   Int_t    sectBeg    = 0;
 236   Int_t    sectEnd    = AliTRDgeometry::Nsect();
 237   Int_t    nTimeTotal = calibration->GetNumberOfTimeBins();
 238
 239   Int_t    dummy[9]   = { 0, 0, 0, 0, 0, 0, 0, 0, 0 };
 240
 241   AliDebug(1,Form("Number of Time Bins = %d.\n",nTimeTotal));
 242
 243   // Start clustering in every chamber
 244   for (icham = chamBeg; icham < chamEnd; icham++) {
 245     for (iplan = planBeg; iplan < planEnd; iplan++) {
 246       for (isect = sectBeg; isect < sectEnd; isect++) {
 247
 248         Int_t idet = geo->GetDetector(iplan,icham,isect);
 249
 250         // Get the digits
 251         digitsIn = fDigitsManager->GetDigits(idet);
 252         // This is to take care of switched off super modules
 253         if (digitsIn->GetNtime() == 0) {
 254           continue;
 255         }
 256         digitsIn->Expand();
 257         AliTRDdataArrayI *tracksTmp = fDigitsManager->GetDictionary(idet,0);
 258         tracksTmp->Expand();
 259
 260         AliDebug(1,Form("Analyzing chamber %d, plane %d, sector %d.\n"
 261                        ,icham,iplan,isect));
 262
 263         Int_t nRowMax = commonParam->GetRowMax(iplan,icham,isect);
 264         Int_t nColMax = commonParam->GetColMax(iplan);
 265
 266         AliTRDpadPlane *padPlane = commonParam->GetPadPlane(iplan,icham);
 267
 268         Int_t nClusters      = 0;
 269         Int_t nClusters2pad  = 0;
 270         Int_t nClusters3pad  = 0;
 271         Int_t nClusters4pad  = 0;
 272         Int_t nClusters5pad  = 0;
 273         Int_t nClustersLarge = 0;
 274
 275         // Apply the gain and the tail cancelation via digital filter
 276         AliTRDdataArrayF *digitsOut = new AliTRDdataArrayF(digitsIn->GetNrow()
 277                                                           ,digitsIn->GetNcol()
 278                                                           ,digitsIn->GetNtime());
 279         Transform(digitsIn,digitsOut,idet,nRowMax,nColMax,nTimeTotal,ADCthreshold);
 280
 281         // Input digits are not needed any more
 282         digitsIn->Compress(1,0);
 283
 284         // Loop through the chamber and find the maxima
 285         for ( row = 0;  row <  nRowMax;    row++) {
 286           for ( col = 2;  col <  nColMax;    col++) {
 287             for (time = 0; time < nTimeTotal; time++) {
 288
 289               Float_t signalL = TMath::Abs(digitsOut->GetDataUnchecked(row,col  ,time));
 290               Float_t signalM = TMath::Abs(digitsOut->GetDataUnchecked(row,col-1,time));
 291               Float_t signalR = TMath::Abs(digitsOut->GetDataUnchecked(row,col-2,time));
 292
 293               // Look for the maximum
 294               if (signalM >= maxThresh) {
 295                 if ((TMath::Abs(signalL) <= signalM) &&
 296                     (TMath::Abs(signalR) <= signalM)) {
 297                   if ((TMath::Abs(signalL) + TMath::Abs(signalR)) > sigThresh) {
 298                     // Maximum found, mark the position by a negative signal
 299                     digitsOut->SetDataUnchecked(row,col-1,time,-signalM);
 300                   }
 301                 }
 302               }
 303
 304             }
 305           }
 306         }
 307         tracksTmp->Compress(1,0);
 308
 309         // The index to the first cluster of a given ROC
 310         Int_t firstClusterROC = -1;
 311         // The number of cluster in a given ROC
 312         Int_t nClusterROC     =  0;
 313
 314         // Now check the maxima and calculate the cluster position
 315         for ( row = 0;  row <  nRowMax  ;  row++) {
 316           for (time = 0; time < nTimeTotal; time++) {
 317             for ( col = 1;  col <  nColMax-1;  col++) {
 318
 319               // Maximum found ?
 320               if (digitsOut->GetDataUnchecked(row,col,time) < 0.0) {
 321
 322                 for (iPad = 0; iPad < kNclus; iPad++) {
 323                   Int_t iPadCol = col - 1 + iPad;
 324                   clusterSignal[iPad] =
 325                     TMath::Abs(digitsOut->GetDataUnchecked(row,iPadCol,time));
 326                 }
 327
 328                 // Count the number of pads in the cluster
 329                 Int_t nPadCount = 0;
 330                 Int_t ii;
 331                 // Look to the left
 332                 ii = 0;
 333                 while (TMath::Abs(digitsOut->GetDataUnchecked(row,col-ii  ,time)) >= sigThresh) {
 334                   nPadCount++;
 335                   ii++;
 336                   if (col-ii   <        0) break;
 337                 }
 338                 // Look to the right
 339                 ii = 0;
 340                 while (TMath::Abs(digitsOut->GetDataUnchecked(row,col+ii+1,time)) >= sigThresh) {
 341                   nPadCount++;
 342                   ii++;
 343                   if (col+ii+1 >= nColMax) break;
 344                 }
 345                 nClusters++;
 346                 switch (nPadCount) {
 347                 case 2:
 348                   iType = 0;
 349                   nClusters2pad++;
 350                   break;
 351                 case 3:
 352                   iType = 1;
 353                   nClusters3pad++;
 354                   break;
 355                 case 4:
 356                   iType = 2;
 357                   nClusters4pad++;
 358                   break;
 359                 case 5:
 360                   iType = 3;
 361                   nClusters5pad++;
 362                   break;
 363                 default:
 364                   iType = 4;
 365                   nClustersLarge++;
 366                   break;
 367                 };
 368
 369                 // Look for 5 pad cluster with minimum in the middle
 370                 Bool_t fivePadCluster = kFALSE;
 371                 if (col < (nColMax - 3)) {
 372                   if (digitsOut->GetDataUnchecked(row,col+2,time) < 0) {
 373                     fivePadCluster = kTRUE;
 374                   }
 375                   if ((fivePadCluster) && (col < (nColMax - 5))) {
 376                     if (digitsOut->GetDataUnchecked(row,col+4,time) >= sigThresh) {
 377                       fivePadCluster = kFALSE;
 378                     }
 379                   }
 380                   if ((fivePadCluster) && (col >             1)) {
 381                     if (digitsOut->GetDataUnchecked(row,col-2,time) >= sigThresh) {
 382                       fivePadCluster = kFALSE;
 383                     }
 384                   }
 385                 }
 386
 387                 // 5 pad cluster
 388                 // Modify the signal of the overlapping pad for the left part
 389                 // of the cluster which remains from a previous unfolding
 390                 if (iUnfold) {
 391                   clusterSignal[0] *= ratioLeft;
 392                   iType   = 5;
 393                   iUnfold = 0;
 394                 }
 395
 396                 // Unfold the 5 pad cluster
 397                 if (fivePadCluster) {
 398                   for (iPad = 0; iPad < kNsig; iPad++) {
 399                     padSignal[iPad] = TMath::Abs(digitsOut->GetDataUnchecked(row
 400                                                                             ,col-1+iPad
 401                                                                             ,time));
 402                   }
 403                   // Unfold the two maxima and set the signal on
 404                   // the overlapping pad to the ratio
 405                   ratioRight        = Unfold(kEpsilon,iplan,padSignal);
 406                   ratioLeft         = 1.0 - ratioRight;
 407                   clusterSignal[2] *= ratioRight;
 408                   iType   = 5;
 409                   iUnfold = 1;
 410                 }
 411
 412                 Double_t clusterCharge = clusterSignal[0]
 413                                        + clusterSignal[1]
 414                                        + clusterSignal[2];
 415
 416                 // The position of the cluster
 417                 clusterPads[0] =  row + 0.5;
 418                 // Take the shift of the additional time bins into account
 419                 clusterPads[2] = time + 0.5;
 420
 421                 if (recParam->LUTOn()) {
 422                   // Calculate the position of the cluster by using the
 423                   // lookup table method
 424                   clusterPads[1] = recParam->LUTposition(iplan,clusterSignal[0]
 425                                                               ,clusterSignal[1]
 426                                                               ,clusterSignal[2]);
 427                 }
 428                 else {
 429                   // Calculate the position of the cluster by using the
 430                   // center of gravity method
 431                   for (Int_t i = 0; i < kNsig; i++) {
 432                     padSignal[i] = 0.0;
 433                   }
 434                   padSignal[2] = TMath::Abs(digitsOut->GetDataUnchecked(row,col  ,time)); // Central pad
 435                   padSignal[1] = TMath::Abs(digitsOut->GetDataUnchecked(row,col-1,time)); // Left    pad
 436                   padSignal[3] = TMath::Abs(digitsOut->GetDataUnchecked(row,col+1,time)); // Right   pad
 437                   if ((col >           2) &&
 438                       (TMath::Abs(digitsOut->GetDataUnchecked(row,col-2,time)) < padSignal[1])) {
 439                     padSignal[0] = TMath::Abs(digitsOut->GetDataUnchecked(row,col-2,time));
 440                   }
 441                   if ((col < nColMax - 3) &&
 442                       (TMath::Abs(digitsOut->GetDataUnchecked(row,col+2,time)) < padSignal[3])) {
 443                     padSignal[4] = TMath::Abs(digitsOut->GetDataUnchecked(row,col+2,time));
 444                   }
 445                   clusterPads[1] = GetCOG(padSignal);
 446                 }
 447
 448                 Double_t q0 = clusterSignal[0];
 449                 Double_t q1 = clusterSignal[1];
 450                 Double_t q2 = clusterSignal[2];
 451                 Double_t clusterSigmaY2 = (q1 * (q0 + q2) + 4.0 * q0 * q2)
 452                                         / (clusterCharge*clusterCharge);
 453
 454                 //
 455                 // Calculate the position and the error
 456                 //
 457
 458                 // Correct for t0
 459                 Int_t    clusterTimeBin = TMath::Nint(time - calibration->GetT0(idet,col,row));
 460                 Double_t colSize        = padPlane->GetColSize(col);
 461                 Double_t rowSize        = padPlane->GetRowSize(row);
 462
 463                 Double_t clusterPos[3];
 464                 clusterPos[0] = padPlane->GetColPos(col) - (clusterPads[1] + 0.5) * colSize;
 465                 clusterPos[1] = padPlane->GetRowPos(row) - 0.5                    * rowSize;
 466                 clusterPos[2] = CalcXposFromTimebin(clusterPads[2],idet,col,row);
 467                 Double_t clusterSig[2];
 468                 clusterSig[0] = (clusterSigmaY2 + 1.0/12.0) * colSize*colSize;
 469                 clusterSig[1] = rowSize * rowSize / 12.0;
 470
 471                 // Add the cluster to the output array
 472                 // The track indices will be stored later
 473                 AliTRDcluster *cluster = AddCluster(clusterPos
 474                                                    ,clusterTimeBin
 475                                                    ,idet
 476                                                    ,clusterCharge
 477                                                    ,dummy
 478                                                    ,clusterSig
 479                                                    ,iType
 480                                                    ,clusterPads[1]);
 481
 482                 // Store the amplitudes of the pads in the cluster for later analysis
 483                 Short_t signals[7] = { 0, 0, 0, 0, 0, 0, 0 };
 484                 for (Int_t jPad = col-3; jPad <= col+3; jPad++) {
 485                   if ((jPad <          0) ||
 486                       (jPad >= nColMax-1)) {
 487                     continue;
 488                   }
 489                   signals[jPad-col+3] = TMath::Nint(TMath::Abs(digitsOut->GetDataUnchecked(row,jPad,time)));
 490                 }
 491                 cluster->SetSignals(signals);
 492
 493                 // Temporarily store the row, column and time bin of the center pad
 494                 // Used to later on assign the track indices
 495                 cluster->SetLabel( row,0);
 496                 cluster->SetLabel( col,1);
 497                 cluster->SetLabel(time,2);
 498
 499                 // Store the index of the first cluster in the current ROC
 500                 if (firstClusterROC < 0) {
 501                   firstClusterROC = RecPoints()->GetEntriesFast() - 1;
 502                 }
 503                 // Count the number of cluster in the current ROC
 504                 nClusterROC++;
 505
 506               } // if: Maximum found ?
 507
 508             } // loop: pad columns
 509           } // loop: time bins
 510         } // loop: pad rows
 511
 512         delete digitsOut;
 513
 514         //
 515         // Add the track indices to the found clusters
 516         //
 517
 518         // Temporary array to collect the track indices
 519         Int_t *idxTracks = new Int_t[kNtrack*nClusterROC];
 520
 521         // Loop through the dictionary arrays one-by-one
 522         // to keep memory consumption low
 523         for (Int_t iDict = 0; iDict < kNdict; iDict++) {
 524
 525           tracksIn = fDigitsManager->GetDictionary(idet,iDict);
 526           tracksIn->Expand();
 527
 528           // Loop though the clusters found in this ROC
 529           for (iClusterROC = 0; iClusterROC < nClusterROC; iClusterROC++) {
 530
 531             AliTRDcluster *cluster = (AliTRDcluster *)
 532                                      RecPoints()->UncheckedAt(firstClusterROC+iClusterROC);
 533             row  = cluster->GetLabel(0);
 534             col  = cluster->GetLabel(1);
 535             time = cluster->GetLabel(2);
 536
 537             for (iPad = 0; iPad < kNclus; iPad++) {
 538               Int_t iPadCol = col - 1 + iPad;
 539               Int_t index   = tracksIn->GetDataUnchecked(row,iPadCol,time) - 1;
 540               idxTracks[3*iPad+iDict + iClusterROC*kNtrack] = index;
 541             }
 542
 543           }
 544
 545           // Compress the arrays
 546           tracksIn->Compress(1,0);
 547
 548         }
 549
 550         // Copy the track indices into the cluster
 551         // Loop though the clusters found in this ROC
 552         for (iClusterROC = 0; iClusterROC < nClusterROC; iClusterROC++) {
 553
 554           AliTRDcluster *cluster = (AliTRDcluster *)
 555                                    RecPoints()->UncheckedAt(firstClusterROC+iClusterROC);
 556           cluster->SetLabel(-9999,0);
 557           cluster->SetLabel(-9999,1);
 558           cluster->SetLabel(-9999,2);
 559
 560           cluster->AddTrackIndex(&idxTracks[iClusterROC*kNtrack]);
 561
 562         }
 563
 564         delete [] idxTracks;
 565
 566         // Write the cluster and reset the array
 567         WriteClusters(idet);
 568         ResetRecPoints();
 569
 570       } // loop: Sectors
 571     } // loop: Planes
 572   } // loop: Chambers
 573
 574   return kTRUE;
 575
 576 }
 577
 578 //_____________________________________________________________________________
 579 Double_t AliTRDclusterizerV1::GetCOG(Double_t signal[5])
 580 {
 581   //
 582   // Get COG position
 583   // Used for clusters with more than 3 pads - where LUT not applicable
 584   //
 585
 586   Double_t sum = signal[0]
 587                + signal[1]
 588                + signal[2]
 589                + signal[3]
 590                + signal[4];
 591
 592   Double_t res = (0.0 * (-signal[0] + signal[4])
 593                       + (-signal[1] + signal[3])) / sum;
 594
 595   return res;
 596
 597 }
 598
 599 //_____________________________________________________________________________
 600 Double_t AliTRDclusterizerV1::Unfold(Double_t eps, Int_t plane, Double_t *padSignal)
 601 {
 602   //
 603   // Method to unfold neighbouring maxima.
 604   // The charge ratio on the overlapping pad is calculated
 605   // until there is no more change within the range given by eps.
 606   // The resulting ratio is then returned to the calling method.
 607   //
 608
 609   AliTRDcalibDB *calibration = AliTRDcalibDB::Instance();
 610   if (!calibration) {
 611     AliError("No AliTRDcalibDB instance available\n");
 612     return kFALSE;
 613   }
 614
 615   Int_t   irc                = 0;
 616   Int_t   itStep             = 0;                 // Count iteration steps
 617
 618   Double_t ratio             = 0.5;               // Start value for ratio
 619   Double_t prevRatio         = 0.0;               // Store previous ratio
 620
 621   Double_t newLeftSignal[3]  = { 0.0, 0.0, 0.0 }; // Array to store left cluster signal
 622   Double_t newRightSignal[3] = { 0.0, 0.0, 0.0 }; // Array to store right cluster signal
 623   Double_t newSignal[3]      = { 0.0, 0.0, 0.0 };
 624
 625   // Start the iteration
 626   while ((TMath::Abs(prevRatio - ratio) > eps) && (itStep < 10)) {
 627
 628     itStep++;
 629     prevRatio = ratio;
 630
 631     // Cluster position according to charge ratio
 632     Double_t maxLeft  = (ratio*padSignal[2] - padSignal[0])
 633                       / (padSignal[0] + padSignal[1] + ratio*padSignal[2]);
 634     Double_t maxRight = (padSignal[4] - (1-ratio)*padSignal[2])
 635                       / ((1.0 - ratio)*padSignal[2] + padSignal[3] + padSignal[4]);
 636
 637     // Set cluster charge ratio
 638     irc = calibration->PadResponse(1.0,maxLeft ,plane,newSignal);
 639     Double_t ampLeft  = padSignal[1] / newSignal[1];
 640     irc = calibration->PadResponse(1.0,maxRight,plane,newSignal);
 641     Double_t ampRight = padSignal[3] / newSignal[1];
 642
 643     // Apply pad response to parameters
 644     irc = calibration->PadResponse(ampLeft ,maxLeft ,plane,newLeftSignal );
 645     irc = calibration->PadResponse(ampRight,maxRight,plane,newRightSignal);
 646
 647     // Calculate new overlapping ratio
 648     ratio = TMath::Min((Double_t)1.0,newLeftSignal[2] /
 649                                     (newLeftSignal[2] + newRightSignal[0]));
 650
 651   }
 652
 653   return ratio;
 654
 655 }
 656
 657 //_____________________________________________________________________________
 658 void AliTRDclusterizerV1::Transform(AliTRDdataArrayI *digitsIn
 659                                   , AliTRDdataArrayF *digitsOut
 660                                   , Int_t idet, Int_t nRowMax
 661                                   , Int_t nColMax, Int_t nTimeTotal
 662                                   , Float_t ADCthreshold)
 663 {
 664   //
 665   // Apply gain factor
 666   // Apply tail cancelation: Transform digitsIn to digitsOut
 667   //
 668
 669   Int_t iRow  = 0;
 670   Int_t iCol  = 0;
 671   Int_t iTime = 0;
 672
 673   AliTRDRecParam *recParam = AliTRDRecParam::Instance();
 674   if (!recParam) {
 675     AliError("No AliTRDRecParam instance available\n");
 676     return;
 677   }
 678   AliTRDcalibDB *calibration = AliTRDcalibDB::Instance();
 679   if (!calibration) {
 680     AliError("No AliTRDcalibDB instance available\n");
 681     return;
 682   }
 683
 684   Double_t *inADC  = new Double_t[nTimeTotal];  // ADC data before tail cancellation
 685   Double_t *outADC = new Double_t[nTimeTotal];  // ADC data after tail cancellation
 686
 687   AliDebug(1,Form("Tail cancellation (nExp = %d) for detector %d.\n"
 688                  ,recParam->GetTCnexp(),idet));
 689
 690   for (iRow  = 0; iRow  <  nRowMax;   iRow++ ) {
 691     for (iCol  = 0; iCol  <  nColMax;   iCol++ ) {
 692
 693       for (iTime = 0; iTime < nTimeTotal; iTime++) {
 694
 695         //
 696         // Add gain
 697         //
 698         Double_t gain = calibration->GetGainFactor(idet,iCol,iRow);
 699         if (gain == 0.0) {
 700           AliError("Not a valid gain\n");
 701         }
 702         inADC[iTime]   = digitsIn->GetDataUnchecked(iRow,iCol,iTime);
 703         inADC[iTime]  /= gain;
 704         outADC[iTime]  = inADC[iTime];
 705
 706       }
 707
 708       // Apply the tail cancelation via the digital filter
 709       if (recParam->TCOn()) {
 710         DeConvExp(inADC,outADC,nTimeTotal,recParam->GetTCnexp());
 711       }
 712
 713       for (iTime = 0; iTime < nTimeTotal; iTime++) {
 714
 715         // Store the amplitude of the digit if above threshold
 716         if (outADC[iTime] > ADCthreshold) {
 717           AliDebug(2,Form("  iRow = %d, iCol = %d, iTime = %d, adc = %f\n"
 718                          ,iRow,iCol,iTime,outADC[iTime]));
 719           digitsOut->SetDataUnchecked(iRow,iCol,iTime,outADC[iTime]);
 720         }
 721
 722       }
 723
 724     }
 725   }
 726
 727   delete [] inADC;
 728   delete [] outADC;
 729
 730   return;
 731
 732 }
 733
 734 //_____________________________________________________________________________
 735 void AliTRDclusterizerV1::DeConvExp(Double_t *source, Double_t *target
 736                                   , Int_t n, Int_t nexp)
 737 {
 738   //
 739   // Tail cancellation by deconvolution for PASA v4 TRF
 740   //
 741
 742   Double_t rates[2];
 743   Double_t coefficients[2];
 744
 745   // Initialization (coefficient = alpha, rates = lambda)
 746   Double_t R1 = 1.0;
 747   Double_t R2 = 1.0;
 748   Double_t C1 = 0.5;
 749   Double_t C2 = 0.5;
 750
 751   if (nexp == 1) {   // 1 Exponentials
 752     R1 = 1.156;
 753     R2 = 0.130;
 754     C1 = 0.066;
 755     C2 = 0.000;
 756   }
 757   if (nexp == 2) {   // 2 Exponentials
 758     R1 = 1.156;
 759     R2 = 0.130;
 760     C1 = 0.114;
 761     C2 = 0.624;
 762   }
 763
 764   coefficients[0] = C1;
 765   coefficients[1] = C2;
 766
 767   Double_t Dt = 0.1;
 768
 769   rates[0] = TMath::Exp(-Dt/(R1));
 770   rates[1] = TMath::Exp(-Dt/(R2));
 771
 772   Int_t i = 0;
 773   Int_t k = 0;
 774
 775   Double_t reminder[2];
 776   Double_t correction;
 777   Double_t result;
 778
 779   // Attention: computation order is important
 780   correction = 0.0;
 781   for (k = 0; k < nexp; k++) {
 782     reminder[k] = 0.0;
 783   }
 784   for (i = 0; i < n; i++) {
 785     result    = (source[i] - correction);    // No rescaling
 786     target[i] = result;
 787
 788     for (k = 0; k < nexp; k++) {
 789       reminder[k] = rates[k] * (reminder[k] + coefficients[k] * result);
 790     }
 791     correction = 0.0;
 792     for (k = 0; k < nexp; k++) {
 793       correction += reminder[k];
 794     }
 795   }
 796
 797 }