[u/mrichter/AliRoot.git] / TRD / AliTRDclusterizerV1.cxx

/**************************************************************************
 * Copyright(c) 1998-1999, ALICE Experiment at CERN, All rights reserved. *
 *                                                                        *
 * Author: The ALICE Off-line Project.                                    *
 * Contributors are mentioned in the code where appropriate.              *
 *                                                                        *
 * Permission to use, copy, modify and distribute this software and its   *
 * documentation strictly for non-commercial purposes is hereby granted   *
 * without fee, provided that the above copyright notice appears in all   *
 * copies and that both the copyright notice and this permission notice   *
 * appear in the supporting documentation. The authors make no claims     *
 * about the suitability of this software for any purpose. It is          *
 * provided "as is" without express or implied warranty.                  *
 **************************************************************************/

/* $Id$ */

///////////////////////////////////////////////////////////////////////////////
//                                                                           //
// TRD cluster finder for the slow simulator. 
//                                                                           //
///////////////////////////////////////////////////////////////////////////////

#include <TF1.h>
#include <TTree.h>
#include <TH1.h>
#include <TFile.h>

#include "AliRun.h"
#include "AliRunLoader.h"
#include "AliLoader.h"

#include "AliTRD.h"
#include "AliTRDclusterizerV1.h"
#include "AliTRDmatrix.h"
#include "AliTRDgeometry.h"
#include "AliTRDdigitizer.h"
#include "AliTRDdataArrayF.h"
#include "AliTRDdataArrayI.h"
#include "AliTRDdigitsManager.h"
#include "AliTRDparameter.h"

ClassImp(AliTRDclusterizerV1)

//_____________________________________________________________________________
AliTRDclusterizerV1::AliTRDclusterizerV1():AliTRDclusterizer()
{
  //
  // AliTRDclusterizerV1 default constructor
  //

  fDigitsManager = 0;

}

//_____________________________________________________________________________
AliTRDclusterizerV1::AliTRDclusterizerV1(const Text_t* name, const Text_t* title)
                    :AliTRDclusterizer(name,title)
{
  //
  // AliTRDclusterizerV1 default constructor
  //

  fDigitsManager = new AliTRDdigitsManager();
  fDigitsManager->CreateArrays();

}

//_____________________________________________________________________________
AliTRDclusterizerV1::AliTRDclusterizerV1(const AliTRDclusterizerV1 &c)
{
  //
  // AliTRDclusterizerV1 copy constructor
  //

  ((AliTRDclusterizerV1 &) c).Copy(*this);

}

//_____________________________________________________________________________
AliTRDclusterizerV1::~AliTRDclusterizerV1()
{
  //
  // AliTRDclusterizerV1 destructor
  //

  if (fDigitsManager) {
    delete fDigitsManager;
    fDigitsManager = NULL;
  }

}

//_____________________________________________________________________________
AliTRDclusterizerV1 &AliTRDclusterizerV1::operator=(const AliTRDclusterizerV1 &c)
{
  //
  // Assignment operator
  //

  if (this != &c) ((AliTRDclusterizerV1 &) c).Copy(*this);
  return *this;

}

//_____________________________________________________________________________
void AliTRDclusterizerV1::Copy(TObject &c)
{
  //
  // Copy function
  //

  ((AliTRDclusterizerV1 &) c).fDigitsManager = 0;

  AliTRDclusterizer::Copy(c);

}

//_____________________________________________________________________________
Bool_t AliTRDclusterizerV1::ReadDigits()
{
  //
  // Reads the digits arrays from the input aliroot file
  //

  if (!fRunLoader) {
    printf("<AliTRDclusterizerV1::ReadDigits> ");
    printf("No input file open\n");
    return kFALSE;
  }
  AliLoader* loader = fRunLoader->GetLoader("TRDLoader");
  if (!loader->TreeD()) loader->LoadDigits();

  // Read in the digit arrays
  return (fDigitsManager->ReadDigits(loader->TreeD()));

}

//_____________________________________________________________________________
Bool_t AliTRDclusterizerV1::MakeClusters()
{
  //
  // Generates the cluster.
  //

  Int_t row, col, time;

  if (fTRD->IsVersion() != 1) {
    printf("<AliTRDclusterizerV1::MakeCluster> ");
    printf("TRD must be version 1 (slow simulator).\n");
    return kFALSE; 
  }

  // Get the geometry
  AliTRDgeometry *geo = fTRD->GetGeometry();

  // Create a default parameter class if none is defined
  if (!fPar) {
    fPar = new AliTRDparameter("TRDparameter","Standard TRD parameter");
    printf("<AliTRDclusterizerV1::MakeCluster> ");
    printf("Create the default parameter object.\n");
  }

  Float_t timeBinSize = fPar->GetTimeBinSize();
  // Half of ampl.region
  const Float_t kAmWidth = AliTRDgeometry::AmThick()/2.; 

  Float_t omegaTau = fPar->GetOmegaTau();
  if (fVerbose > 0) {
    printf("<AliTRDclusterizerV1::MakeCluster> ");
    printf("OmegaTau = %f \n",omegaTau);
    printf("<AliTRDclusterizerV1::MakeCluster> ");
    printf("Start creating clusters.\n");
  } 

  AliTRDdataArrayI *digits;
  AliTRDdataArrayI *track0;
  AliTRDdataArrayI *track1;
  AliTRDdataArrayI *track2; 

  // Threshold value for the maximum
  Int_t maxThresh = fPar->GetClusMaxThresh();   
  // Threshold value for the digit signal
  Int_t sigThresh = fPar->GetClusSigThresh();   

  // Iteration limit for unfolding procedure
  const Float_t kEpsilon = 0.01;             

  const Int_t   kNclus   = 3;  
  const Int_t   kNsig    = 5;
  const Int_t   kNtrack  = 3 * kNclus;

  Int_t   iType          = 0;
  Int_t   iUnfold        = 0;

  Float_t ratioLeft      = 1.0;
  Float_t ratioRight     = 1.0;

  Float_t padSignal[kNsig];   
  Float_t clusterSignal[kNclus];
  Float_t clusterPads[kNclus];   
  Int_t   clusterDigit[kNclus];
  Int_t   clusterTracks[kNtrack];   

  Int_t chamBeg = 0;
  Int_t chamEnd = AliTRDgeometry::Ncham();
  if (fTRD->GetSensChamber()  >= 0) {
    chamBeg = fTRD->GetSensChamber();
    chamEnd = chamBeg + 1;
  }
  Int_t planBeg = 0;
  Int_t planEnd = AliTRDgeometry::Nplan();
  if (fTRD->GetSensPlane()    >= 0) {
    planBeg = fTRD->GetSensPlane();
    planEnd = planBeg + 1;
  }
  Int_t sectBeg = 0;
  Int_t sectEnd = AliTRDgeometry::Nsect();

  // Start clustering in every chamber
  for (Int_t icham = chamBeg; icham < chamEnd; icham++) {
    for (Int_t iplan = planBeg; iplan < planEnd; iplan++) {
      for (Int_t isect = sectBeg; isect < sectEnd; isect++) {

        if (fTRD->GetSensSector() >= 0) {
          Int_t sens1 = fTRD->GetSensSector();
          Int_t sens2 = sens1 + fTRD->GetSensSectorRange();
          sens2 -= ((Int_t) (sens2 / AliTRDgeometry::Nsect())) 
                 * AliTRDgeometry::Nsect();
          if (sens1 < sens2) {
            if ((isect < sens1) || (isect >= sens2)) continue;
	  }
          else {
            if ((isect < sens1) && (isect >= sens2)) continue;
	  }
	}

        Int_t idet = geo->GetDetector(iplan,icham,isect);

        Int_t nClusters      = 0;
        Int_t nClusters2pad  = 0;
        Int_t nClusters3pad  = 0;
        Int_t nClusters4pad  = 0;
        Int_t nClusters5pad  = 0;
        Int_t nClustersLarge = 0;

        if (fVerbose > 0) {
          printf("<AliTRDclusterizerV1::MakeCluster> ");
          printf("Analyzing chamber %d, plane %d, sector %d.\n"
                ,icham,iplan,isect);
	}

        Int_t   nRowMax     = fPar->GetRowMax(iplan,icham,isect);
        Int_t   nColMax     = fPar->GetColMax(iplan);
        Int_t   nTimeBefore = fPar->GetTimeBefore();
        Int_t   nTimeTotal  = fPar->GetTimeTotal();  

        Float_t row0        = fPar->GetRow0(iplan,icham,isect);
        Float_t col0        = fPar->GetCol0(iplan);
        Float_t rowSize     = fPar->GetRowPadSize(iplan,icham,isect);
        Float_t colSize     = fPar->GetColPadSize(iplan);

        // Get the digits
        digits = fDigitsManager->GetDigits(idet);
        digits->Expand();
        track0 = fDigitsManager->GetDictionary(idet,0);
        track0->Expand();
        track1 = fDigitsManager->GetDictionary(idet,1);
        track1->Expand();
        track2 = fDigitsManager->GetDictionary(idet,2); 
        track2->Expand();

        // Loop through the chamber and find the maxima 
        for ( row = 0;  row <  nRowMax;    row++) {
          for ( col = 2;  col <  nColMax;    col++) {
            for (time = 0; time < nTimeTotal; time++) {

              Int_t signalL = TMath::Abs(digits->GetDataUnchecked(row,col  ,time));
              Int_t signalM = TMath::Abs(digits->GetDataUnchecked(row,col-1,time));
              Int_t signalR = TMath::Abs(digits->GetDataUnchecked(row,col-2,time));
 
	      // Look for the maximum
              if (signalM >= maxThresh) {
                if (((signalL >= sigThresh) &&
                     (signalL <  signalM))  ||
                    ((signalR >= sigThresh) &&
                     (signalR <  signalM))) {
                  // Maximum found, mark the position by a negative signal
                  digits->SetDataUnchecked(row,col-1,time,-signalM);
		}
	      }

            }  
          }    
        }      

        // Now check the maxima and calculate the cluster position
        for ( row = 0;  row <  nRowMax  ;  row++) {
          for (time = 0; time < nTimeTotal; time++) {
            for ( col = 1;  col <  nColMax-1;  col++) {

              // Maximum found ?             
              if (digits->GetDataUnchecked(row,col,time) < 0) {

                Int_t iPad;
                for (iPad = 0; iPad < kNclus; iPad++) {
                  Int_t iPadCol = col - 1 + iPad;
                  clusterSignal[iPad]     = TMath::Abs(digits->GetDataUnchecked(row
                                                                               ,iPadCol
                                                                               ,time));
                  clusterDigit[iPad]      = digits->GetIndexUnchecked(row,iPadCol,time);
                  clusterTracks[3*iPad  ] = track0->GetDataUnchecked(row,iPadCol,time) - 1;
		  clusterTracks[3*iPad+1] = track1->GetDataUnchecked(row,iPadCol,time) - 1;
		  clusterTracks[3*iPad+2] = track2->GetDataUnchecked(row,iPadCol,time) - 1;
                }

		// Count the number of pads in the cluster
                Int_t nPadCount = 0;
                Int_t ii        = 0;
                while (TMath::Abs(digits->GetDataUnchecked(row,col-ii  ,time))
                                                                  >= sigThresh) {
                  nPadCount++;
                  ii++;
                  if (col-ii   <        0) break;
		}
                ii = 0;
                while (TMath::Abs(digits->GetDataUnchecked(row,col+ii+1,time))
                                                                  >= sigThresh) {
                  nPadCount++;
                  ii++;
                  if (col+ii+1 >= nColMax) break;
		}

                nClusters++;
                switch (nPadCount) {
                case 2:
                  iType = 0;
                  nClusters2pad++;
                  break;
                case 3:
                  iType = 1;
                  nClusters3pad++;
                  break;
                case 4:
                  iType = 2;
                  nClusters4pad++;
                  break;
                case 5:
                  iType = 3;
                  nClusters5pad++;
                  break;
                default:
                  iType = 4;
                  nClustersLarge++;
                  break;
		};

		// Don't analyze large clusters
                //if (iType == 4) continue;

                // Look for 5 pad cluster with minimum in the middle
                Bool_t fivePadCluster = kFALSE;
                if (col < nColMax-3) {
                  if (digits->GetDataUnchecked(row,col+2,time) < 0) {
                    fivePadCluster = kTRUE;
	  	  }
                  if ((fivePadCluster) && (col < nColMax-5)) {
                    if (digits->GetDataUnchecked(row,col+4,time) >= sigThresh) {
                      fivePadCluster = kFALSE;
		    }
		  }
                  if ((fivePadCluster) && (col >         1)) {
                    if (digits->GetDataUnchecked(row,col-2,time) >= sigThresh) {
                      fivePadCluster = kFALSE;
		    }
		  }
		}

		// 5 pad cluster
                // Modify the signal of the overlapping pad for the left part 
		// of the cluster which remains from a previous unfolding
                if (iUnfold) {
                  clusterSignal[0] *= ratioLeft;
                  iType   = 3;
                  iUnfold = 0;
		}

		// Unfold the 5 pad cluster
                if (fivePadCluster) {
                  for (iPad = 0; iPad < kNsig; iPad++) {
                    padSignal[iPad] = TMath::Abs(digits->GetDataUnchecked(row
                                                                         ,col-1+iPad
                                                                         ,time));
                  }
                  // Unfold the two maxima and set the signal on 
                  // the overlapping pad to the ratio
                  ratioRight        = Unfold(kEpsilon,iplan,padSignal);
                  ratioLeft         = 1.0 - ratioRight; 
                  clusterSignal[2] *= ratioRight;
                  iType   = 3;
                  iUnfold = 1;
                }

                Float_t clusterCharge = clusterSignal[0]
                                      + clusterSignal[1]
                                      + clusterSignal[2];
                
		// The position of the cluster
                clusterPads[0] = row + 0.5;
		// Take the shift of the additional time bins into account
                clusterPads[2] = time - nTimeBefore + 0.5;

                if (fPar->LUTOn()) {

  		  // Calculate the position of the cluster by using the
		  // lookup table method
                  clusterPads[1] = col + 0.5
                                 + fPar->LUTposition(iplan,clusterSignal[0]
                                                          ,clusterSignal[1]
					                  ,clusterSignal[2]);

		}
		else {

  		  // Calculate the position of the cluster by using the
		  // center of gravity method
                  clusterPads[1] = col + 0.5 
                                 + (clusterSignal[2] - clusterSignal[0]) 
		                 / clusterCharge;

		}

                Float_t q0 = clusterSignal[0];
		Float_t q1 = clusterSignal[1];
                Float_t q2 = clusterSignal[2];
                Float_t clusterSigmaY2 = (q1*(q0+q2)+4*q0*q2) /
                                         (clusterCharge*clusterCharge);

                // Correct for ExB displacement
                if (fPar->ExBOn()) { 
                  Int_t   local_time_bin = (Int_t) clusterPads[2];
                  Float_t driftLength    = local_time_bin * timeBinSize + kAmWidth;
                  Float_t colSize        = fPar->GetColPadSize(iplan);
                  Float_t deltaY         = omegaTau*driftLength/colSize;
                  clusterPads[1]         = clusterPads[1] - deltaY;
                }
                                       
                if (fVerbose > 1) {
                  printf("-----------------------------------------------------------\n");
                  printf("Create cluster no. %d\n",nClusters);
                  printf("Position: row = %f, col = %f, time = %f\n",clusterPads[0]
			                                            ,clusterPads[1]
                                                                    ,clusterPads[2]);
                  printf("Indices: %d, %d, %d\n",clusterDigit[0]
			                        ,clusterDigit[1]
                                                ,clusterDigit[2]);
                  printf("Total charge = %f\n",clusterCharge);
                  printf("Tracks: pad0 %d, %d, %d\n",clusterTracks[0]
			                            ,clusterTracks[1]
                                                    ,clusterTracks[2]);
                  printf("        pad1 %d, %d, %d\n",clusterTracks[3]
			                            ,clusterTracks[4]
                                                    ,clusterTracks[5]);
                  printf("        pad2 %d, %d, %d\n",clusterTracks[6]
			                            ,clusterTracks[7]
                                                    ,clusterTracks[8]);
                  printf("Type = %d, Number of pads = %d\n",iType,nPadCount);
                }

		// Calculate the position and the error
                Float_t clusterPos[3];
                clusterPos[0] = clusterPads[1] * colSize + col0;
                clusterPos[1] = clusterPads[0] * rowSize + row0;
                clusterPos[2] = clusterPads[2];
                Float_t clusterSig[2];
                clusterSig[0] = (clusterSigmaY2 + 1./12.) * colSize*colSize;
                clusterSig[1] = rowSize * rowSize / 12.;

                // Add the cluster to the output array 
                fTRD->AddCluster(clusterPos
                                ,idet
                                ,clusterCharge
                                ,clusterTracks
				,clusterSig
                                ,iType);

              }
            } 
          }   
        }     

	// Compress the arrays
        digits->Compress(1,0);
        track0->Compress(1,0);
        track1->Compress(1,0);
        track2->Compress(1,0);

        // Write the cluster and reset the array
	WriteClusters(idet);
	fTRD->ResetRecPoints();

        if (fVerbose > 0) {
          printf("<AliTRDclusterizerV1::MakeCluster> ");
          printf("Found %d clusters in total.\n"
                ,nClusters);
          printf("                                    2pad:  %d\n",nClusters2pad);
          printf("                                    3pad:  %d\n",nClusters3pad);
          printf("                                    4pad:  %d\n",nClusters4pad);
          printf("                                    5pad:  %d\n",nClusters5pad);
          printf("                                    Large: %d\n",nClustersLarge);
	}

      }    
    }      
  }        

  if (fVerbose > 0) {
    printf("<AliTRDclusterizerV1::MakeCluster> ");
    printf("Done.\n");
  }

  return kTRUE;

}

//_____________________________________________________________________________
Float_t AliTRDclusterizerV1::Unfold(Float_t eps, Int_t plane, Float_t* padSignal)
{
  //
  // Method to unfold neighbouring maxima.
  // The charge ratio on the overlapping pad is calculated
  // until there is no more change within the range given by eps.
  // The resulting ratio is then returned to the calling method.
  //

  Int_t   irc               = 0;
  Int_t   itStep            = 0;      // Count iteration steps

  Float_t ratio             = 0.5;    // Start value for ratio
  Float_t prevRatio         = 0;      // Store previous ratio

  Float_t newLeftSignal[3]  = {0};    // Array to store left cluster signal
  Float_t newRightSignal[3] = {0};    // Array to store right cluster signal
  Float_t newSignal[3]      = {0};

  // Start the iteration
  while ((TMath::Abs(prevRatio - ratio) > eps) && (itStep < 10)) {

    itStep++;
    prevRatio = ratio;

    // Cluster position according to charge ratio
    Float_t maxLeft  = (ratio*padSignal[2] - padSignal[0]) 
                     / (padSignal[0] + padSignal[1] + ratio*padSignal[2]);
    Float_t maxRight = (padSignal[4] - (1-ratio)*padSignal[2]) 
                     / ((1-ratio)*padSignal[2] + padSignal[3] + padSignal[4]);

    // Set cluster charge ratio
    irc = fPar->PadResponse(1.0,maxLeft ,plane,newSignal);
    Float_t ampLeft  = padSignal[1] / newSignal[1];
    irc = fPar->PadResponse(1.0,maxRight,plane,newSignal);
    Float_t ampRight = padSignal[3] / newSignal[1];

    // Apply pad response to parameters
    irc = fPar->PadResponse(ampLeft ,maxLeft ,plane,newLeftSignal );
    irc = fPar->PadResponse(ampRight,maxRight,plane,newRightSignal);

    // Calculate new overlapping ratio
    ratio = TMath::Min((Float_t)1.0,newLeftSignal[2] / 
                          (newLeftSignal[2] + newRightSignal[0]));

  }

  return ratio;

}
Commit	Line	Data
f7336fa3	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
88cb7938	16	/* $Id$ */
f7336fa3	17
	18	///////////////////////////////////////////////////////////////////////////////
	19	// //
	20	// TRD cluster finder for the slow simulator.
	21	// //
	22	///////////////////////////////////////////////////////////////////////////////
	23
	24	#include <TF1.h>
94de3818	25	#include <TTree.h>
793ff80c	26	#include <TH1.h>
a819a5f7	27	#include <TFile.h>
f7336fa3	28
793ff80c	29	#include "AliRun.h"
88cb7938	30	#include "AliRunLoader.h"
88cb7938	31	#include "AliLoader.h"
793ff80c	32
793ff80c	33	#include "AliTRD.h"
f7336fa3	34	#include "AliTRDclusterizerV1.h"
	35	#include "AliTRDmatrix.h"
	36	#include "AliTRDgeometry.h"
	37	#include "AliTRDdigitizer.h"
6f1e466d	38	#include "AliTRDdataArrayF.h"
793ff80c	39	#include "AliTRDdataArrayI.h"
793ff80c	40	#include "AliTRDdigitsManager.h"
17b26de4	41	#include "AliTRDparameter.h"
f7336fa3	42
	43	ClassImp(AliTRDclusterizerV1)
	44
	45	//_____________________________________________________________________________
	46	AliTRDclusterizerV1::AliTRDclusterizerV1():AliTRDclusterizer()
	47	{
	48	//
	49	// AliTRDclusterizerV1 default constructor
	50	//
	51
17b26de4	52	fDigitsManager = 0;
db30bf0f	53
f7336fa3	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
6f1e466d	64	fDigitsManager = new AliTRDdigitsManager();
17b26de4	65	fDigitsManager->CreateArrays();
f7336fa3	66
	67	}
	68
8230f242	69	//_____________________________________________________________________________
dd9a6ee3	70	AliTRDclusterizerV1::AliTRDclusterizerV1(const AliTRDclusterizerV1 &c)
8230f242	71	{
	72	//
	73	// AliTRDclusterizerV1 copy constructor
	74	//
	75
dd9a6ee3	76	((AliTRDclusterizerV1 &) c).Copy(*this);
8230f242	77
	78	}
	79
f7336fa3	80	//_____________________________________________________________________________
	81	AliTRDclusterizerV1::~AliTRDclusterizerV1()
	82	{
8230f242	83	//
	84	// AliTRDclusterizerV1 destructor
	85	//
f7336fa3	86
6f1e466d	87	if (fDigitsManager) {
6f1e466d	88	delete fDigitsManager;
abaf1f1d	89	fDigitsManager = NULL;
f7336fa3	90	}
	91
	92	}
	93
dd9a6ee3	94	//_____________________________________________________________________________
	95	AliTRDclusterizerV1 &AliTRDclusterizerV1::operator=(const AliTRDclusterizerV1 &c)
	96	{
	97	//
	98	// Assignment operator
	99	//
	100
	101	if (this != &c) ((AliTRDclusterizerV1 &) c).Copy(*this);
	102	return *this;
	103
	104	}
	105
8230f242	106	//_____________________________________________________________________________
43da34c0	107	void AliTRDclusterizerV1::Copy(TObject &c)
8230f242	108	{
	109	//
	110	// Copy function
	111	//
	112
17b26de4	113	((AliTRDclusterizerV1 &) c).fDigitsManager = 0;
8230f242	114
	115	AliTRDclusterizer::Copy(c);
	116
	117	}
	118
f7336fa3	119	//_____________________________________________________________________________
	120	Bool_t AliTRDclusterizerV1::ReadDigits()
	121	{
	122	//
	123	// Reads the digits arrays from the input aliroot file
	124	//
	125
88cb7938	126	if (!fRunLoader) {
17b26de4	127	printf("<AliTRDclusterizerV1::ReadDigits> ");
f7336fa3	128	printf("No input file open\n");
	129	return kFALSE;
	130	}
88cb7938	131	AliLoader* loader = fRunLoader->GetLoader("TRDLoader");
88cb7938	132	if (!loader->TreeD()) loader->LoadDigits();
abaf1f1d	133
f7336fa3	134	// Read in the digit arrays
88cb7938	135	return (fDigitsManager->ReadDigits(loader->TreeD()));
f7336fa3	136
	137	}
	138
	139	//_____________________________________________________________________________
793ff80c	140	Bool_t AliTRDclusterizerV1::MakeClusters()
f7336fa3	141	{
	142	//
	143	// Generates the cluster.
	144	//
	145
	146	Int_t row, col, time;
	147
3e1a3ad8	148	if (fTRD->IsVersion() != 1) {
17b26de4	149	printf("<AliTRDclusterizerV1::MakeCluster> ");
f7336fa3	150	printf("TRD must be version 1 (slow simulator).\n");
	151	return kFALSE;
	152	}
	153
	154	// Get the geometry
3e1a3ad8	155	AliTRDgeometry *geo = fTRD->GetGeometry();
f7336fa3	156
17b26de4	157	// Create a default parameter class if none is defined
	158	if (!fPar) {
	159	fPar = new AliTRDparameter("TRDparameter","Standard TRD parameter");
5443e65e	160	printf("<AliTRDclusterizerV1::MakeCluster> ");
5443e65e	161	printf("Create the default parameter object.\n");
17b26de4	162	}
	163
	164	Float_t timeBinSize = fPar->GetTimeBinSize();
a819a5f7	165	// Half of ampl.region
	166	const Float_t kAmWidth = AliTRDgeometry::AmThick()/2.;
	167
17b26de4	168	Float_t omegaTau = fPar->GetOmegaTau();
47517f42	169	if (fVerbose > 0) {
17b26de4	170	printf("<AliTRDclusterizerV1::MakeCluster> ");
47517f42	171	printf("OmegaTau = %f \n",omegaTau);
17b26de4	172	printf("<AliTRDclusterizerV1::MakeCluster> ");
47517f42	173	printf("Start creating clusters.\n");
47517f42	174	}
f7336fa3	175
8230f242	176	AliTRDdataArrayI *digits;
793ff80c	177	AliTRDdataArrayI *track0;
	178	AliTRDdataArrayI *track1;
	179	AliTRDdataArrayI *track2;
f7336fa3	180
3e1a3ad8	181	// Threshold value for the maximum
17b26de4	182	Int_t maxThresh = fPar->GetClusMaxThresh();
3e1a3ad8	183	// Threshold value for the digit signal
17b26de4	184	Int_t sigThresh = fPar->GetClusSigThresh();
f7336fa3	185
f7336fa3	186	// Iteration limit for unfolding procedure
8230f242	187	const Float_t kEpsilon = 0.01;
f7336fa3	188
8230f242	189	const Int_t kNclus = 3;
8230f242	190	const Int_t kNsig = 5;
3e1a3ad8	191	const Int_t kNtrack = 3 * kNclus;
3e1a3ad8	192
db30bf0f	193	Int_t iType = 0;
	194	Int_t iUnfold = 0;
	195
	196	Float_t ratioLeft = 1.0;
	197	Float_t ratioRight = 1.0;
	198
3e1a3ad8	199	Float_t padSignal[kNsig];
	200	Float_t clusterSignal[kNclus];
	201	Float_t clusterPads[kNclus];
	202	Int_t clusterDigit[kNclus];
	203	Int_t clusterTracks[kNtrack];
f7336fa3	204
f7336fa3	205	Int_t chamBeg = 0;
793ff80c	206	Int_t chamEnd = AliTRDgeometry::Ncham();
3e1a3ad8	207	if (fTRD->GetSensChamber() >= 0) {
3e1a3ad8	208	chamBeg = fTRD->GetSensChamber();
6f1e466d	209	chamEnd = chamBeg + 1;
f7336fa3	210	}
f7336fa3	211	Int_t planBeg = 0;
793ff80c	212	Int_t planEnd = AliTRDgeometry::Nplan();
3e1a3ad8	213	if (fTRD->GetSensPlane() >= 0) {
3e1a3ad8	214	planBeg = fTRD->GetSensPlane();
f7336fa3	215	planEnd = planBeg + 1;
	216	}
	217	Int_t sectBeg = 0;
793ff80c	218	Int_t sectEnd = AliTRDgeometry::Nsect();
f7336fa3	219
3e1a3ad8	220	// Start clustering in every chamber
f7336fa3	221	for (Int_t icham = chamBeg; icham < chamEnd; icham++) {
	222	for (Int_t iplan = planBeg; iplan < planEnd; iplan++) {
	223	for (Int_t isect = sectBeg; isect < sectEnd; isect++) {
	224
3e1a3ad8	225	if (fTRD->GetSensSector() >= 0) {
	226	Int_t sens1 = fTRD->GetSensSector();
	227	Int_t sens2 = sens1 + fTRD->GetSensSectorRange();
793ff80c	228	sens2 -= ((Int_t) (sens2 / AliTRDgeometry::Nsect()))
793ff80c	229	* AliTRDgeometry::Nsect();
dd9a6ee3	230	if (sens1 < sens2) {
9d0b222b	231	if ((isect < sens1) \|\| (isect >= sens2)) continue;
dd9a6ee3	232	}
dd9a6ee3	233	else {
9d0b222b	234	if ((isect < sens1) && (isect >= sens2)) continue;
dd9a6ee3	235	}
9d0b222b	236	}
9d0b222b	237
8230f242	238	Int_t idet = geo->GetDetector(iplan,icham,isect);
f7336fa3	239
db30bf0f	240	Int_t nClusters = 0;
	241	Int_t nClusters2pad = 0;
	242	Int_t nClusters3pad = 0;
	243	Int_t nClusters4pad = 0;
	244	Int_t nClusters5pad = 0;
	245	Int_t nClustersLarge = 0;
3e1a3ad8	246
47517f42	247	if (fVerbose > 0) {
17b26de4	248	printf("<AliTRDclusterizerV1::MakeCluster> ");
47517f42	249	printf("Analyzing chamber %d, plane %d, sector %d.\n"
	250	,icham,iplan,isect);
	251	}
f7336fa3	252
5443e65e	253	Int_t nRowMax = fPar->GetRowMax(iplan,icham,isect);
	254	Int_t nColMax = fPar->GetColMax(iplan);
	255	Int_t nTimeBefore = fPar->GetTimeBefore();
	256	Int_t nTimeTotal = fPar->GetTimeTotal();
	257
	258	Float_t row0 = fPar->GetRow0(iplan,icham,isect);
	259	Float_t col0 = fPar->GetCol0(iplan);
	260	Float_t rowSize = fPar->GetRowPadSize(iplan,icham,isect);
	261	Float_t colSize = fPar->GetColPadSize(iplan);
f7336fa3	262
3e1a3ad8	263	// Get the digits
8230f242	264	digits = fDigitsManager->GetDigits(idet);
3e1a3ad8	265	digits->Expand();
793ff80c	266	track0 = fDigitsManager->GetDictionary(idet,0);
3e1a3ad8	267	track0->Expand();
793ff80c	268	track1 = fDigitsManager->GetDictionary(idet,1);
3e1a3ad8	269	track1->Expand();
793ff80c	270	track2 = fDigitsManager->GetDictionary(idet,2);
3e1a3ad8	271	track2->Expand();
	272
	273	// Loop through the chamber and find the maxima
	274	for ( row = 0; row < nRowMax; row++) {
	275	for ( col = 2; col < nColMax; col++) {
	276	for (time = 0; time < nTimeTotal; time++) {
	277
a819a5f7	278	Int_t signalL = TMath::Abs(digits->GetDataUnchecked(row,col ,time));
	279	Int_t signalM = TMath::Abs(digits->GetDataUnchecked(row,col-1,time));
	280	Int_t signalR = TMath::Abs(digits->GetDataUnchecked(row,col-2,time));
3e1a3ad8	281
3e1a3ad8	282	// Look for the maximum
db30bf0f	283	if (signalM >= maxThresh) {
	284	if (((signalL >= sigThresh) &&
	285	(signalL < signalM)) \|\|
	286	((signalR >= sigThresh) &&
	287	(signalR < signalM))) {
3e1a3ad8	288	// Maximum found, mark the position by a negative signal
	289	digits->SetDataUnchecked(row,col-1,time,-signalM);
	290	}
	291	}
	292
	293	}
	294	}
	295	}
	296
	297	// Now check the maxima and calculate the cluster position
	298	for ( row = 0; row < nRowMax ; row++) {
db30bf0f	299	for (time = 0; time < nTimeTotal; time++) {
db30bf0f	300	for ( col = 1; col < nColMax-1; col++) {
3e1a3ad8	301
	302	// Maximum found ?
	303	if (digits->GetDataUnchecked(row,col,time) < 0) {
f7336fa3	304
9d0b222b	305	Int_t iPad;
8230f242	306	for (iPad = 0; iPad < kNclus; iPad++) {
3e1a3ad8	307	Int_t iPadCol = col - 1 + iPad;
	308	clusterSignal[iPad] = TMath::Abs(digits->GetDataUnchecked(row
	309	,iPadCol
	310	,time));
	311	clusterDigit[iPad] = digits->GetIndexUnchecked(row,iPadCol,time);
	312	clusterTracks[3*iPad ] = track0->GetDataUnchecked(row,iPadCol,time) - 1;
	313	clusterTracks[3*iPad+1] = track1->GetDataUnchecked(row,iPadCol,time) - 1;
	314	clusterTracks[3*iPad+2] = track2->GetDataUnchecked(row,iPadCol,time) - 1;
f7336fa3	315	}
f7336fa3	316
db30bf0f	317	// Count the number of pads in the cluster
	318	Int_t nPadCount = 0;
	319	Int_t ii = 0;
	320	while (TMath::Abs(digits->GetDataUnchecked(row,col-ii ,time))
	321	>= sigThresh) {
	322	nPadCount++;
	323	ii++;
	324	if (col-ii < 0) break;
	325	}
	326	ii = 0;
	327	while (TMath::Abs(digits->GetDataUnchecked(row,col+ii+1,time))
	328	>= sigThresh) {
	329	nPadCount++;
	330	ii++;
	331	if (col+ii+1 >= nColMax) break;
	332	}
	333
	334	nClusters++;
	335	switch (nPadCount) {
	336	case 2:
	337	iType = 0;
	338	nClusters2pad++;
	339	break;
	340	case 3:
	341	iType = 1;
	342	nClusters3pad++;
	343	break;
	344	case 4:
	345	iType = 2;
	346	nClusters4pad++;
	347	break;
	348	case 5:
	349	iType = 3;
	350	nClusters5pad++;
	351	break;
	352	default:
	353	iType = 4;
	354	nClustersLarge++;
	355	break;
	356	};
	357
	358	// Don't analyze large clusters
	359	//if (iType == 4) continue;
	360
	361	// Look for 5 pad cluster with minimum in the middle
	362	Bool_t fivePadCluster = kFALSE;
3e1a3ad8	363	if (col < nColMax-3) {
3e1a3ad8	364	if (digits->GetDataUnchecked(row,col+2,time) < 0) {
db30bf0f	365	fivePadCluster = kTRUE;
	366	}
	367	if ((fivePadCluster) && (col < nColMax-5)) {
	368	if (digits->GetDataUnchecked(row,col+4,time) >= sigThresh) {
	369	fivePadCluster = kFALSE;
	370	}
	371	}
	372	if ((fivePadCluster) && (col > 1)) {
	373	if (digits->GetDataUnchecked(row,col-2,time) >= sigThresh) {
	374	fivePadCluster = kFALSE;
	375	}
	376	}
	377	}
	378
	379	// 5 pad cluster
	380	// Modify the signal of the overlapping pad for the left part
	381	// of the cluster which remains from a previous unfolding
	382	if (iUnfold) {
	383	clusterSignal[0] *= ratioLeft;
	384	iType = 3;
	385	iUnfold = 0;
	386	}
	387
	388	// Unfold the 5 pad cluster
	389	if (fivePadCluster) {
	390	for (iPad = 0; iPad < kNsig; iPad++) {
	391	padSignal[iPad] = TMath::Abs(digits->GetDataUnchecked(row
	392	,col-1+iPad
	393	,time));
f7336fa3	394	}
db30bf0f	395	// Unfold the two maxima and set the signal on
db30bf0f	396	// the overlapping pad to the ratio
17b26de4	397	ratioRight = Unfold(kEpsilon,iplan,padSignal);
db30bf0f	398	ratioLeft = 1.0 - ratioRight;
	399	clusterSignal[2] *= ratioRight;
	400	iType = 3;
	401	iUnfold = 1;
f7336fa3	402	}
f7336fa3	403
3e1a3ad8	404	Float_t clusterCharge = clusterSignal[0]
	405	+ clusterSignal[1]
	406	+ clusterSignal[2];
	407
db30bf0f	408	// The position of the cluster
3e1a3ad8	409	clusterPads[0] = row + 0.5;
3e1a3ad8	410	// Take the shift of the additional time bins into account
	411	clusterPads[2] = time - nTimeBefore + 0.5;
	412
17b26de4	413	if (fPar->LUTOn()) {
db30bf0f	414
	415	// Calculate the position of the cluster by using the
	416	// lookup table method
5443e65e	417	clusterPads[1] = col + 0.5
5443e65e	418	+ fPar->LUTposition(iplan,clusterSignal[0]
17b26de4	419	,clusterSignal[1]
17b26de4	420	,clusterSignal[2]);
db30bf0f	421
	422	}
	423	else {
	424
	425	// Calculate the position of the cluster by using the
	426	// center of gravity method
	427	clusterPads[1] = col + 0.5
	428	+ (clusterSignal[2] - clusterSignal[0])
	429	/ clusterCharge;
	430
	431	}
	432
5443e65e	433	Float_t q0 = clusterSignal[0];
	434	Float_t q1 = clusterSignal[1];
	435	Float_t q2 = clusterSignal[2];
	436	Float_t clusterSigmaY2 = (q1(q0+q2)+4q0*q2) /
	437	(clusterCharge*clusterCharge);
a819a5f7	438
a819a5f7	439	// Correct for ExB displacement
17b26de4	440	if (fPar->ExBOn()) {
a819a5f7	441	Int_t local_time_bin = (Int_t) clusterPads[2];
a819a5f7	442	Float_t driftLength = local_time_bin * timeBinSize + kAmWidth;
17b26de4	443	Float_t colSize = fPar->GetColPadSize(iplan);
a819a5f7	444	Float_t deltaY = omegaTau*driftLength/colSize;
	445	clusterPads[1] = clusterPads[1] - deltaY;
	446	}
	447
47517f42	448	if (fVerbose > 1) {
3e1a3ad8	449	printf("-----------------------------------------------------------\n");
	450	printf("Create cluster no. %d\n",nClusters);
	451	printf("Position: row = %f, col = %f, time = %f\n",clusterPads[0]
	452	,clusterPads[1]
	453	,clusterPads[2]);
	454	printf("Indices: %d, %d, %d\n",clusterDigit[0]
	455	,clusterDigit[1]
	456	,clusterDigit[2]);
	457	printf("Total charge = %f\n",clusterCharge);
	458	printf("Tracks: pad0 %d, %d, %d\n",clusterTracks[0]
	459	,clusterTracks[1]
	460	,clusterTracks[2]);
	461	printf(" pad1 %d, %d, %d\n",clusterTracks[3]
	462	,clusterTracks[4]
	463	,clusterTracks[5]);
	464	printf(" pad2 %d, %d, %d\n",clusterTracks[6]
	465	,clusterTracks[7]
	466	,clusterTracks[8]);
db30bf0f	467	printf("Type = %d, Number of pads = %d\n",iType,nPadCount);
f7336fa3	468	}
f7336fa3	469
5443e65e	470	// Calculate the position and the error
	471	Float_t clusterPos[3];
	472	clusterPos[0] = clusterPads[1] * colSize + col0;
	473	clusterPos[1] = clusterPads[0] * rowSize + row0;
	474	clusterPos[2] = clusterPads[2];
	475	Float_t clusterSig[2];
	476	clusterSig[0] = (clusterSigmaY2 + 1./12.) * colSize*colSize;
	477	clusterSig[1] = rowSize * rowSize / 12.;
	478
f7336fa3	479	// Add the cluster to the output array
5443e65e	480	fTRD->AddCluster(clusterPos
3e1a3ad8	481	,idet
	482	,clusterCharge
	483	,clusterTracks
5443e65e	484	,clusterSig
3e1a3ad8	485	,iType);
f7336fa3	486
f7336fa3	487	}
3e1a3ad8	488	}
	489	}
	490	}
f7336fa3	491
3e1a3ad8	492	// Compress the arrays
	493	digits->Compress(1,0);
	494	track0->Compress(1,0);
	495	track1->Compress(1,0);
	496	track2->Compress(1,0);
f7336fa3	497
3e1a3ad8	498	// Write the cluster and reset the array
793ff80c	499	WriteClusters(idet);
3e1a3ad8	500	fTRD->ResetRecPoints();
793ff80c	501
47517f42	502	if (fVerbose > 0) {
17b26de4	503	printf("<AliTRDclusterizerV1::MakeCluster> ");
47517f42	504	printf("Found %d clusters in total.\n"
	505	,nClusters);
	506	printf(" 2pad: %d\n",nClusters2pad);
	507	printf(" 3pad: %d\n",nClusters3pad);
	508	printf(" 4pad: %d\n",nClusters4pad);
	509	printf(" 5pad: %d\n",nClusters5pad);
	510	printf(" Large: %d\n",nClustersLarge);
	511	}
f7336fa3	512
3e1a3ad8	513	}
	514	}
	515	}
f7336fa3	516
47517f42	517	if (fVerbose > 0) {
17b26de4	518	printf("<AliTRDclusterizerV1::MakeCluster> ");
47517f42	519	printf("Done.\n");
47517f42	520	}
f7336fa3	521
	522	return kTRUE;
	523
	524	}
	525
	526	//_____________________________________________________________________________
17b26de4	527	Float_t AliTRDclusterizerV1::Unfold(Float_t eps, Int_t plane, Float_t* padSignal)
f7336fa3	528	{
	529	//
	530	// Method to unfold neighbouring maxima.
	531	// The charge ratio on the overlapping pad is calculated
	532	// until there is no more change within the range given by eps.
	533	// The resulting ratio is then returned to the calling method.
	534	//
	535
17b26de4	536	Int_t irc = 0;
3e1a3ad8	537	Int_t itStep = 0; // Count iteration steps
f7336fa3	538
3e1a3ad8	539	Float_t ratio = 0.5; // Start value for ratio
3e1a3ad8	540	Float_t prevRatio = 0; // Store previous ratio
f7336fa3	541
3e1a3ad8	542	Float_t newLeftSignal[3] = {0}; // Array to store left cluster signal
3e1a3ad8	543	Float_t newRightSignal[3] = {0}; // Array to store right cluster signal
17b26de4	544	Float_t newSignal[3] = {0};
f7336fa3	545
3e1a3ad8	546	// Start the iteration
f7336fa3	547	while ((TMath::Abs(prevRatio - ratio) > eps) && (itStep < 10)) {
	548
	549	itStep++;
	550	prevRatio = ratio;
	551
3e1a3ad8	552	// Cluster position according to charge ratio
	553	Float_t maxLeft = (ratio*padSignal[2] - padSignal[0])
	554	/ (padSignal[0] + padSignal[1] + ratio*padSignal[2]);
	555	Float_t maxRight = (padSignal[4] - (1-ratio)*padSignal[2])
	556	/ ((1-ratio)*padSignal[2] + padSignal[3] + padSignal[4]);
f7336fa3	557
3e1a3ad8	558	// Set cluster charge ratio
17b26de4	559	irc = fPar->PadResponse(1.0,maxLeft ,plane,newSignal);
	560	Float_t ampLeft = padSignal[1] / newSignal[1];
	561	irc = fPar->PadResponse(1.0,maxRight,plane,newSignal);
	562	Float_t ampRight = padSignal[3] / newSignal[1];
f7336fa3	563
3e1a3ad8	564	// Apply pad response to parameters
17b26de4	565	irc = fPar->PadResponse(ampLeft ,maxLeft ,plane,newLeftSignal );
17b26de4	566	irc = fPar->PadResponse(ampRight,maxRight,plane,newRightSignal);
f7336fa3	567
3e1a3ad8	568	// Calculate new overlapping ratio
26edf6a4	569	ratio = TMath::Min((Float_t)1.0,newLeftSignal[2] /
db30bf0f	570	(newLeftSignal[2] + newRightSignal[0]));
f7336fa3	571
	572	}
	573
	574	return ratio;
	575
	576	}
	577