TRD/AliTRDclusterizerV1.cxx

   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 /* $Id$ */
  17
  18 ///////////////////////////////////////////////////////////////////////////////
  19 //                                                                           //
  20 // TRD cluster finder for the slow simulator.
  21 //                                                                           //
  22 ///////////////////////////////////////////////////////////////////////////////
  23
  24 #include <TF1.h>
  25 #include <TTree.h>
  26 #include <TH1.h>
  27 #include <TFile.h>
  28
  29 #include "AliRun.h"
  30 #include "AliRunLoader.h"
  31 #include "AliLoader.h"
  32
  33 #include "AliTRD.h"
  34 #include "AliTRDclusterizerV1.h"
  35 #include "AliTRDmatrix.h"
  36 #include "AliTRDgeometry.h"
  37 #include "AliTRDdigitizer.h"
  38 #include "AliTRDdataArrayF.h"
  39 #include "AliTRDdataArrayI.h"
  40 #include "AliTRDdigitsManager.h"
  41 #include "AliTRDparameter.h"
  42
  43 ClassImp(AliTRDclusterizerV1)
  44
  45 //_____________________________________________________________________________
  46 AliTRDclusterizerV1::AliTRDclusterizerV1():AliTRDclusterizer()
  47 {
  48   //
  49   // AliTRDclusterizerV1 default constructor
  50   //
  51
  52   fDigitsManager = 0;
  53
  54 }
  55
  56 //_____________________________________________________________________________
  57 AliTRDclusterizerV1::AliTRDclusterizerV1(const Text_t* name, const Text_t* title)
  58                     :AliTRDclusterizer(name,title)
  59 {
  60   //
  61   // AliTRDclusterizerV1 default constructor
  62   //
  63
  64   fDigitsManager = new AliTRDdigitsManager();
  65   fDigitsManager->CreateArrays();
  66
  67 }
  68
  69 //_____________________________________________________________________________
  70 AliTRDclusterizerV1::AliTRDclusterizerV1(const AliTRDclusterizerV1 &c)
  71 :AliTRDclusterizer(c)
  72 {
  73   //
  74   // AliTRDclusterizerV1 copy constructor
  75   //
  76
  77   ((AliTRDclusterizerV1 &) c).Copy(*this);
  78
  79 }
  80
  81 //_____________________________________________________________________________
  82 AliTRDclusterizerV1::~AliTRDclusterizerV1()
  83 {
  84   //
  85   // AliTRDclusterizerV1 destructor
  86   //
  87
  88   if (fDigitsManager) {
  89     delete fDigitsManager;
  90     fDigitsManager = NULL;
  91   }
  92
  93 }
  94
  95 //_____________________________________________________________________________
  96 AliTRDclusterizerV1 &AliTRDclusterizerV1::operator=(const AliTRDclusterizerV1 &c)
  97 {
  98   //
  99   // Assignment operator
 100   //
 101
 102   if (this != &c) ((AliTRDclusterizerV1 &) c).Copy(*this);
 103   return *this;
 104
 105 }
 106
 107 //_____________________________________________________________________________
 108 void AliTRDclusterizerV1::Copy(TObject &c)
 109 {
 110   //
 111   // Copy function
 112   //
 113
 114   ((AliTRDclusterizerV1 &) c).fDigitsManager = 0;
 115
 116   AliTRDclusterizer::Copy(c);
 117
 118 }
 119
 120 //_____________________________________________________________________________
 121 Bool_t AliTRDclusterizerV1::ReadDigits()
 122 {
 123   //
 124   // Reads the digits arrays from the input aliroot file
 125   //
 126
 127   if (!fRunLoader) {
 128     printf("<AliTRDclusterizerV1::ReadDigits> ");
 129     printf("No input file open\n");
 130     return kFALSE;
 131   }
 132   AliLoader* loader = fRunLoader->GetLoader("TRDLoader");
 133   if (!loader->TreeD()) loader->LoadDigits();
 134
 135   // Read in the digit arrays
 136   return (fDigitsManager->ReadDigits(loader->TreeD()));
 137
 138 }
 139
 140 //_____________________________________________________________________________
 141 Bool_t AliTRDclusterizerV1::MakeClusters()
 142 {
 143   //
 144   // Generates the cluster.
 145   //
 146
 147   Int_t row, col, time;
 148
 149   if (fTRD->IsVersion() != 1) {
 150     printf("<AliTRDclusterizerV1::MakeCluster> ");
 151     printf("TRD must be version 1 (slow simulator).\n");
 152     return kFALSE;
 153   }
 154
 155   // Get the geometry
 156   AliTRDgeometry *geo = fTRD->GetGeometry();
 157
 158   // Create a default parameter class if none is defined
 159   if (!fPar) {
 160     fPar = new AliTRDparameter("TRDparameter","Standard TRD parameter");
 161     printf("<AliTRDclusterizerV1::MakeCluster> ");
 162     printf("Create the default parameter object.\n");
 163   }
 164
 165   Float_t timeBinSize = fPar->GetTimeBinSize();
 166   // Half of ampl.region
 167   const Float_t kAmWidth = AliTRDgeometry::AmThick()/2.;
 168
 169   Float_t omegaTau = fPar->GetOmegaTau();
 170   if (fVerbose > 0) {
 171     printf("<AliTRDclusterizerV1::MakeCluster> ");
 172     printf("OmegaTau = %f \n",omegaTau);
 173     printf("<AliTRDclusterizerV1::MakeCluster> ");
 174     printf("Start creating clusters.\n");
 175   }
 176
 177   AliTRDdataArrayI *digits;
 178   AliTRDdataArrayI *track0;
 179   AliTRDdataArrayI *track1;
 180   AliTRDdataArrayI *track2;
 181
 182   // Threshold value for the maximum
 183   Int_t maxThresh = fPar->GetClusMaxThresh();
 184   // Threshold value for the digit signal
 185   Int_t sigThresh = fPar->GetClusSigThresh();
 186
 187   // Iteration limit for unfolding procedure
 188   const Float_t kEpsilon = 0.01;
 189
 190   const Int_t   kNclus   = 3;
 191   const Int_t   kNsig    = 5;
 192   const Int_t   kNtrack  = 3 * kNclus;
 193
 194   Int_t   iType          = 0;
 195   Int_t   iUnfold        = 0;
 196
 197   Float_t ratioLeft      = 1.0;
 198   Float_t ratioRight     = 1.0;
 199
 200   Float_t padSignal[kNsig];
 201   Float_t clusterSignal[kNclus];
 202   Float_t clusterPads[kNclus];
 203   Int_t   clusterDigit[kNclus];
 204   Int_t   clusterTracks[kNtrack];
 205
 206   Int_t chamBeg = 0;
 207   Int_t chamEnd = AliTRDgeometry::Ncham();
 208   if (fTRD->GetSensChamber()  >= 0) {
 209     chamBeg = fTRD->GetSensChamber();
 210     chamEnd = chamBeg + 1;
 211   }
 212   Int_t planBeg = 0;
 213   Int_t planEnd = AliTRDgeometry::Nplan();
 214   if (fTRD->GetSensPlane()    >= 0) {
 215     planBeg = fTRD->GetSensPlane();
 216     planEnd = planBeg + 1;
 217   }
 218   Int_t sectBeg = 0;
 219   Int_t sectEnd = AliTRDgeometry::Nsect();
 220
 221   // Start clustering in every chamber
 222   for (Int_t icham = chamBeg; icham < chamEnd; icham++) {
 223     for (Int_t iplan = planBeg; iplan < planEnd; iplan++) {
 224       for (Int_t isect = sectBeg; isect < sectEnd; isect++) {
 225
 226         if (fTRD->GetSensSector() >= 0) {
 227           Int_t sens1 = fTRD->GetSensSector();
 228           Int_t sens2 = sens1 + fTRD->GetSensSectorRange();
 229           sens2 -= ((Int_t) (sens2 / AliTRDgeometry::Nsect()))
 230                  * AliTRDgeometry::Nsect();
 231           if (sens1 < sens2) {
 232             if ((isect < sens1) || (isect >= sens2)) continue;
 233           }
 234           else {
 235             if ((isect < sens1) && (isect >= sens2)) continue;
 236           }
 237         }
 238
 239         Int_t idet = geo->GetDetector(iplan,icham,isect);
 240
 241         Int_t nClusters      = 0;
 242         Int_t nClusters2pad  = 0;
 243         Int_t nClusters3pad  = 0;
 244         Int_t nClusters4pad  = 0;
 245         Int_t nClusters5pad  = 0;
 246         Int_t nClustersLarge = 0;
 247
 248         if (fVerbose > 0) {
 249           printf("<AliTRDclusterizerV1::MakeCluster> ");
 250           printf("Analyzing chamber %d, plane %d, sector %d.\n"
 251                 ,icham,iplan,isect);
 252         }
 253
 254         Int_t   nRowMax     = fPar->GetRowMax(iplan,icham,isect);
 255         Int_t   nColMax     = fPar->GetColMax(iplan);
 256         Int_t   nTimeBefore = fPar->GetTimeBefore();
 257         Int_t   nTimeTotal  = fPar->GetTimeTotal();
 258
 259         Float_t row0        = fPar->GetRow0(iplan,icham,isect);
 260         Float_t col0        = fPar->GetCol0(iplan);
 261         Float_t rowSize     = fPar->GetRowPadSize(iplan,icham,isect);
 262         Float_t colSize     = fPar->GetColPadSize(iplan);
 263
 264         // Get the digits
 265         digits = fDigitsManager->GetDigits(idet);
 266         digits->Expand();
 267         track0 = fDigitsManager->GetDictionary(idet,0);
 268         track0->Expand();
 269         track1 = fDigitsManager->GetDictionary(idet,1);
 270         track1->Expand();
 271         track2 = fDigitsManager->GetDictionary(idet,2);
 272         track2->Expand();
 273
 274         // Loop through the chamber and find the maxima
 275         for ( row = 0;  row <  nRowMax;    row++) {
 276           //          for ( col = 2;  col <  nColMax;    col++) {
 277           for ( col = 4;  col <  nColMax-2;    col++) {
 278             for (time = 0; time < nTimeTotal; time++) {
 279
 280               Int_t signalL = TMath::Abs(digits->GetDataUnchecked(row,col  ,time));
 281               Int_t signalM = TMath::Abs(digits->GetDataUnchecked(row,col-1,time));
 282               Int_t signalR = TMath::Abs(digits->GetDataUnchecked(row,col-2,time));
 283
 284               // Look for the maximum
 285               if (signalM >= maxThresh) {
 286                 if (((signalL >= sigThresh) &&
 287                      (signalL <  signalM))  ||
 288                     ((signalR >= sigThresh) &&
 289                      (signalR <  signalM))) {
 290                   // Maximum found, mark the position by a negative signal
 291                   digits->SetDataUnchecked(row,col-1,time,-signalM);
 292                 }
 293               }
 294
 295             }
 296           }
 297         }
 298
 299         // Now check the maxima and calculate the cluster position
 300         for ( row = 0;  row <  nRowMax  ;  row++) {
 301           for (time = 0; time < nTimeTotal; time++) {
 302             for ( col = 1;  col <  nColMax-1;  col++) {
 303
 304               // Maximum found ?
 305               if (digits->GetDataUnchecked(row,col,time) < 0) {
 306
 307                 Int_t iPad;
 308                 for (iPad = 0; iPad < kNclus; iPad++) {
 309                   Int_t iPadCol = col - 1 + iPad;
 310                   clusterSignal[iPad]     = TMath::Abs(digits->GetDataUnchecked(row
 311                                                                                ,iPadCol
 312                                                                                ,time));
 313                   clusterDigit[iPad]      = digits->GetIndexUnchecked(row,iPadCol,time);
 314                   clusterTracks[3*iPad  ] = track0->GetDataUnchecked(row,iPadCol,time) - 1;
 315                   clusterTracks[3*iPad+1] = track1->GetDataUnchecked(row,iPadCol,time) - 1;
 316                   clusterTracks[3*iPad+2] = track2->GetDataUnchecked(row,iPadCol,time) - 1;
 317                 }
 318
 319                 // Count the number of pads in the cluster
 320                 Int_t nPadCount = 0;
 321                 Int_t ii        = 0;
 322                 while (TMath::Abs(digits->GetDataUnchecked(row,col-ii  ,time))
 323                                                                   >= sigThresh) {
 324                   nPadCount++;
 325                   ii++;
 326                   if (col-ii   <        0) break;
 327                 }
 328                 ii = 0;
 329                 while (TMath::Abs(digits->GetDataUnchecked(row,col+ii+1,time))
 330                                                                   >= sigThresh) {
 331                   nPadCount++;
 332                   ii++;
 333                   if (col+ii+1 >= nColMax) break;
 334                 }
 335
 336                 nClusters++;
 337                 switch (nPadCount) {
 338                 case 2:
 339                   iType = 0;
 340                   nClusters2pad++;
 341                   break;
 342                 case 3:
 343                   iType = 1;
 344                   nClusters3pad++;
 345                   break;
 346                 case 4:
 347                   iType = 2;
 348                   nClusters4pad++;
 349                   break;
 350                 case 5:
 351                   iType = 3;
 352                   nClusters5pad++;
 353                   break;
 354                 default:
 355                   iType = 4;
 356                   nClustersLarge++;
 357                   break;
 358                 };
 359
 360                 // Don't analyze large clusters
 361                 //if (iType == 4) continue;
 362
 363                 // Look for 5 pad cluster with minimum in the middle
 364                 Bool_t fivePadCluster = kFALSE;
 365                 if (col < nColMax-3) {
 366                   if (digits->GetDataUnchecked(row,col+2,time) < 0) {
 367                     fivePadCluster = kTRUE;
 368                   }
 369                   if ((fivePadCluster) && (col < nColMax-5)) {
 370                     if (digits->GetDataUnchecked(row,col+4,time) >= sigThresh) {
 371                       fivePadCluster = kFALSE;
 372                     }
 373                   }
 374                   if ((fivePadCluster) && (col >         1)) {
 375                     if (digits->GetDataUnchecked(row,col-2,time) >= sigThresh) {
 376                       fivePadCluster = kFALSE;
 377                     }
 378                   }
 379                 }
 380
 381                 // 5 pad cluster
 382                 // Modify the signal of the overlapping pad for the left part
 383                 // of the cluster which remains from a previous unfolding
 384                 if (iUnfold) {
 385                   clusterSignal[0] *= ratioLeft;
 386                   iType   = 3;
 387                   iUnfold = 0;
 388                 }
 389
 390                 // Unfold the 5 pad cluster
 391                 if (fivePadCluster) {
 392                   for (iPad = 0; iPad < kNsig; iPad++) {
 393                     padSignal[iPad] = TMath::Abs(digits->GetDataUnchecked(row
 394                                                                          ,col-1+iPad
 395                                                                          ,time));
 396                   }
 397                   // Unfold the two maxima and set the signal on
 398                   // the overlapping pad to the ratio
 399                   ratioRight        = Unfold(kEpsilon,iplan,padSignal);
 400                   ratioLeft         = 1.0 - ratioRight;
 401                   clusterSignal[2] *= ratioRight;
 402                   iType   = 3;
 403                   iUnfold = 1;
 404                 }
 405
 406                 Float_t clusterCharge = clusterSignal[0]
 407                                       + clusterSignal[1]
 408                                       + clusterSignal[2];
 409
 410                 // The position of the cluster
 411                 clusterPads[0] = row + 0.5;
 412                 // Take the shift of the additional time bins into account
 413                 clusterPads[2] = time - nTimeBefore + 0.5;
 414
 415                 if (fPar->LUTOn()) {
 416
 417                   // Calculate the position of the cluster by using the
 418                   // lookup table method
 419                   clusterPads[1] = col + 0.5
 420                                  + fPar->LUTposition(iplan,clusterSignal[0]
 421                                                           ,clusterSignal[1]
 422                                                           ,clusterSignal[2]);
 423
 424                 }
 425                 else {
 426
 427                   // Calculate the position of the cluster by using the
 428                   // center of gravity method
 429                   clusterPads[1] = col + 0.5
 430                                  + (clusterSignal[2] - clusterSignal[0])
 431                                  / clusterCharge;
 432
 433                 }
 434
 435                 Float_t q0 = clusterSignal[0];
 436                 Float_t q1 = clusterSignal[1];
 437                 Float_t q2 = clusterSignal[2];
 438                 Float_t clusterSigmaY2 = (q1*(q0+q2)+4*q0*q2) /
 439                                          (clusterCharge*clusterCharge);
 440
 441                 // Correct for ExB displacement
 442                 if (fPar->ExBOn()) {
 443                   Int_t   local_time_bin = (Int_t) clusterPads[2];
 444                   Float_t driftLength    = local_time_bin * timeBinSize + kAmWidth;
 445                   Float_t colSize        = fPar->GetColPadSize(iplan);
 446                   Float_t deltaY         = omegaTau*driftLength/colSize;
 447                   clusterPads[1]         = clusterPads[1] - deltaY;
 448                 }
 449
 450                 if (fVerbose > 1) {
 451                   printf("-----------------------------------------------------------\n");
 452                   printf("Create cluster no. %d\n",nClusters);
 453                   printf("Position: row = %f, col = %f, time = %f\n",clusterPads[0]
 454                                                                     ,clusterPads[1]
 455                                                                     ,clusterPads[2]);
 456                   printf("Indices: %d, %d, %d\n",clusterDigit[0]
 457                                                 ,clusterDigit[1]
 458                                                 ,clusterDigit[2]);
 459                   printf("Total charge = %f\n",clusterCharge);
 460                   printf("Tracks: pad0 %d, %d, %d\n",clusterTracks[0]
 461                                                     ,clusterTracks[1]
 462                                                     ,clusterTracks[2]);
 463                   printf("        pad1 %d, %d, %d\n",clusterTracks[3]
 464                                                     ,clusterTracks[4]
 465                                                     ,clusterTracks[5]);
 466                   printf("        pad2 %d, %d, %d\n",clusterTracks[6]
 467                                                     ,clusterTracks[7]
 468                                                     ,clusterTracks[8]);
 469                   printf("Type = %d, Number of pads = %d\n",iType,nPadCount);
 470                 }
 471
 472                 // Calculate the position and the error
 473                 Float_t clusterPos[3];
 474                 clusterPos[0] = clusterPads[1] * colSize + col0;
 475                 clusterPos[1] = clusterPads[0] * rowSize + row0;
 476                 clusterPos[2] = clusterPads[2];
 477                 Float_t clusterSig[2];
 478                 clusterSig[0] = (clusterSigmaY2 + 1./12.) * colSize*colSize;
 479                 clusterSig[1] = rowSize * rowSize / 12.;
 480
 481                 // Add the cluster to the output array
 482                 fTRD->AddCluster(clusterPos
 483                                 ,idet
 484                                 ,clusterCharge
 485                                 ,clusterTracks
 486                                 ,clusterSig
 487                                 ,iType);
 488
 489               }
 490             }
 491           }
 492         }
 493
 494         // Compress the arrays
 495         digits->Compress(1,0);
 496         track0->Compress(1,0);
 497         track1->Compress(1,0);
 498         track2->Compress(1,0);
 499
 500         // Write the cluster and reset the array
 501         WriteClusters(idet);
 502         fTRD->ResetRecPoints();
 503
 504         if (fVerbose > 0) {
 505           printf("<AliTRDclusterizerV1::MakeCluster> ");
 506           printf("Found %d clusters in total.\n"
 507                 ,nClusters);
 508           printf("                                    2pad:  %d\n",nClusters2pad);
 509           printf("                                    3pad:  %d\n",nClusters3pad);
 510           printf("                                    4pad:  %d\n",nClusters4pad);
 511           printf("                                    5pad:  %d\n",nClusters5pad);
 512           printf("                                    Large: %d\n",nClustersLarge);
 513         }
 514
 515       }
 516     }
 517   }
 518
 519   if (fVerbose > 0) {
 520     printf("<AliTRDclusterizerV1::MakeCluster> ");
 521     printf("Done.\n");
 522   }
 523
 524   return kTRUE;
 525
 526 }
 527
 528 //_____________________________________________________________________________
 529 Float_t AliTRDclusterizerV1::Unfold(Float_t eps, Int_t plane, Float_t* padSignal)
 530 {
 531   //
 532   // Method to unfold neighbouring maxima.
 533   // The charge ratio on the overlapping pad is calculated
 534   // until there is no more change within the range given by eps.
 535   // The resulting ratio is then returned to the calling method.
 536   //
 537
 538   Int_t   irc               = 0;
 539   Int_t   itStep            = 0;      // Count iteration steps
 540
 541   Float_t ratio             = 0.5;    // Start value for ratio
 542   Float_t prevRatio         = 0;      // Store previous ratio
 543
 544   Float_t newLeftSignal[3]  = {0};    // Array to store left cluster signal
 545   Float_t newRightSignal[3] = {0};    // Array to store right cluster signal
 546   Float_t newSignal[3]      = {0};
 547
 548   // Start the iteration
 549   while ((TMath::Abs(prevRatio - ratio) > eps) && (itStep < 10)) {
 550
 551     itStep++;
 552     prevRatio = ratio;
 553
 554     // Cluster position according to charge ratio
 555     Float_t maxLeft  = (ratio*padSignal[2] - padSignal[0])
 556                      / (padSignal[0] + padSignal[1] + ratio*padSignal[2]);
 557     Float_t maxRight = (padSignal[4] - (1-ratio)*padSignal[2])
 558                      / ((1-ratio)*padSignal[2] + padSignal[3] + padSignal[4]);
 559
 560     // Set cluster charge ratio
 561     irc = fPar->PadResponse(1.0,maxLeft ,plane,newSignal);
 562     Float_t ampLeft  = padSignal[1] / newSignal[1];
 563     irc = fPar->PadResponse(1.0,maxRight,plane,newSignal);
 564     Float_t ampRight = padSignal[3] / newSignal[1];
 565
 566     // Apply pad response to parameters
 567     irc = fPar->PadResponse(ampLeft ,maxLeft ,plane,newLeftSignal );
 568     irc = fPar->PadResponse(ampRight,maxRight,plane,newRightSignal);
 569
 570     // Calculate new overlapping ratio
 571     ratio = TMath::Min((Float_t)1.0,newLeftSignal[2] /
 572                           (newLeftSignal[2] + newRightSignal[0]));
 573
 574   }
 575
 576   return ratio;
 577
 578 }
 579