[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 "AliTRDclusterizerV1.h"
#include "AliTRDmatrix.h"
#include "AliTRDgeometry.h"
#include "AliTRDdataArrayF.h"
#include "AliTRDdataArrayI.h"
#include "AliTRDdigitsManager.h"
#include "AliTRDparameter.h"
#include "AliTRDpadPlane.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)
:AliTRDclusterizer(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) const
{
  //
  // 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 = AliTRDgeometry::GetGeometry(fRunLoader);

  // 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");
  }
  fPar->Init();

  //Float_t timeBinSize = fPar->GetDriftVelocity()
  //                    / fPar->GetSamplingFrequency();
  // 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;  
  Double_t ratioLeft     = 1.0;
  Double_t ratioRight    = 1.0;

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

  Int_t    chamBeg = 0;
  Int_t    chamEnd = AliTRDgeometry::Ncham();
  Int_t    planBeg = 0;
  Int_t    planEnd = AliTRDgeometry::Nplan();
  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++) {

        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();  

        AliTRDpadPlane *padPlane = fPar->GetPadPlane(iplan,icham);

        // 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 ( col = 4;  col <  nColMax-2;    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);
// 		}
// 	      }
	      // Look for the maximum
              if (signalM >= maxThresh) {
                if ( (signalL<=signalM) && (signalR<=signalM) && (signalL+signalR)>sigThresh ) {
                  // 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;
		};

		 // 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   = 5;
                  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   = 5;
                  iUnfold = 1;
                }


                Double_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] =
                                  fPar->LUTposition(iplan,clusterSignal[0]
                                                          ,clusterSignal[1]
					                  ,clusterSignal[2]);
		}
		else {
  		  // Calculate the position of the cluster by using the
		  // center of gravity method
		  for (Int_t i=0;i<5;i++) padSignal[i]=0;
		  padSignal[2] = TMath::Abs(digits->GetDataUnchecked(row,col,time));   // central  pad
		  padSignal[1] = TMath::Abs(digits->GetDataUnchecked(row,col-1,time)); // left     pad
		  padSignal[3] = TMath::Abs(digits->GetDataUnchecked(row,col+1,time)); // right    pad
		  if (col>2 &&TMath::Abs(digits->GetDataUnchecked(row,col-2,time)<padSignal[1])){
		    padSignal[0] = TMath::Abs(digits->GetDataUnchecked(row,col-2,time));
		  }
		  if (col<nColMax-3 &&TMath::Abs(digits->GetDataUnchecked(row,col+2,time)<padSignal[3])){
		    padSignal[4] = TMath::Abs(digits->GetDataUnchecked(row,col+2,time));
		  }		  
		  clusterPads[1] =  GetCOG(padSignal);
		  Double_t check = fPar->LUTposition(iplan,clusterSignal[0]
                                                          ,clusterSignal[1]
					                  ,clusterSignal[2]);
		  //		  clusterPads[1] = check;

		}

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

		// Calculate the position and the error
                Double_t colSize = padPlane->GetColSize(col);
                Double_t rowSize = padPlane->GetRowSize(row);
                Double_t clusterPos[3];
		clusterPos[0] = padPlane->GetColPos(col) + (clusterPads[1]-0.5)*colSize;  // MI change
		clusterPos[1] = padPlane->GetRowPos(row) -0.5*rowSize; //MI change
                clusterPos[2] = clusterPads[2];
                Double_t clusterSig[2];
                clusterSig[0] = (clusterSigmaY2 + 1./12.) * colSize*colSize;
                clusterSig[1] = rowSize * rowSize / 12.;                                       
                // Add the cluster to the output array 
                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);
	ResetRecPoints();
      }    
    }      
  }        

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

  return kTRUE;

}

Double_t AliTRDclusterizerV1::GetCOG(Double_t signal[5])
{
  //
  // get COG position
  // used for clusters with more than 3 pads - where LUT not applicable
  Double_t sum = signal[0]+signal[1]+signal[2]+signal[3]+signal[4];
  Double_t res = (0.0*(-signal[0]+signal[4])+(-signal[1]+signal[3]))/sum;
  return res;		  
}


//_____________________________________________________________________________
Double_t AliTRDclusterizerV1::Unfold(Double_t eps, Int_t plane, Double_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

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

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

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

    itStep++;
    prevRatio = ratio;

    // Cluster position according to charge ratio
    Double_t maxLeft  = (ratio*padSignal[2] - padSignal[0]) 
                      / (padSignal[0] + padSignal[1] + ratio*padSignal[2]);
    Double_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);
    Double_t ampLeft  = padSignal[1] / newSignal[1];
    irc = fPar->PadResponse(1.0,maxRight,plane,newSignal);
    Double_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((Double_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
f7336fa3	33	#include "AliTRDclusterizerV1.h"
	34	#include "AliTRDmatrix.h"
	35	#include "AliTRDgeometry.h"
6f1e466d	36	#include "AliTRDdataArrayF.h"
793ff80c	37	#include "AliTRDdataArrayI.h"
793ff80c	38	#include "AliTRDdigitsManager.h"
17b26de4	39	#include "AliTRDparameter.h"
a5cadd36	40	#include "AliTRDpadPlane.h"
f7336fa3	41
	42	ClassImp(AliTRDclusterizerV1)
	43
	44	//_____________________________________________________________________________
	45	AliTRDclusterizerV1::AliTRDclusterizerV1():AliTRDclusterizer()
	46	{
	47	//
	48	// AliTRDclusterizerV1 default constructor
	49	//
	50
17b26de4	51	fDigitsManager = 0;
db30bf0f	52
f7336fa3	53	}
	54
	55	//_____________________________________________________________________________
	56	AliTRDclusterizerV1::AliTRDclusterizerV1(const Text_t* name, const Text_t* title)
	57	:AliTRDclusterizer(name,title)
	58	{
	59	//
	60	// AliTRDclusterizerV1 default constructor
	61	//
	62
6f1e466d	63	fDigitsManager = new AliTRDdigitsManager();
17b26de4	64	fDigitsManager->CreateArrays();
f7336fa3	65
	66	}
	67
8230f242	68	//_____________________________________________________________________________
dd9a6ee3	69	AliTRDclusterizerV1::AliTRDclusterizerV1(const AliTRDclusterizerV1 &c)
73ae7b59	70	:AliTRDclusterizer(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	//_____________________________________________________________________________
e0d47c25	107	void AliTRDclusterizerV1::Copy(TObject &c) const
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
bdbb05bb	148	/*
3e1a3ad8	149	if (fTRD->IsVersion() != 1) {
17b26de4	150	printf("<AliTRDclusterizerV1::MakeCluster> ");
f7336fa3	151	printf("TRD must be version 1 (slow simulator).\n");
	152	return kFALSE;
	153	}
bdbb05bb	154	*/
f7336fa3	155
f7336fa3	156	// Get the geometry
bdbb05bb	157	AliTRDgeometry *geo = AliTRDgeometry::GetGeometry(fRunLoader);
f7336fa3	158
17b26de4	159	// Create a default parameter class if none is defined
	160	if (!fPar) {
	161	fPar = new AliTRDparameter("TRDparameter","Standard TRD parameter");
5443e65e	162	printf("<AliTRDclusterizerV1::MakeCluster> ");
5443e65e	163	printf("Create the default parameter object.\n");
17b26de4	164	}
598156ef	165	fPar->Init();
17b26de4	166
7ad19338	167	//Float_t timeBinSize = fPar->GetDriftVelocity()
7ad19338	168	// / fPar->GetSamplingFrequency();
a819a5f7	169	// Half of ampl.region
7ad19338	170	// const Float_t kAmWidth = AliTRDgeometry::AmThick()/2.;
a819a5f7	171
17b26de4	172	Float_t omegaTau = fPar->GetOmegaTau();
47517f42	173	if (fVerbose > 0) {
17b26de4	174	printf("<AliTRDclusterizerV1::MakeCluster> ");
47517f42	175	printf("OmegaTau = %f \n",omegaTau);
17b26de4	176	printf("<AliTRDclusterizerV1::MakeCluster> ");
47517f42	177	printf("Start creating clusters.\n");
47517f42	178	}
f7336fa3	179
8230f242	180	AliTRDdataArrayI *digits;
793ff80c	181	AliTRDdataArrayI *track0;
	182	AliTRDdataArrayI *track1;
	183	AliTRDdataArrayI *track2;
f7336fa3	184
3e1a3ad8	185	// Threshold value for the maximum
17b26de4	186	Int_t maxThresh = fPar->GetClusMaxThresh();
3e1a3ad8	187	// Threshold value for the digit signal
17b26de4	188	Int_t sigThresh = fPar->GetClusSigThresh();
f7336fa3	189	// Iteration limit for unfolding procedure
8230f242	190	const Float_t kEpsilon = 0.01;
f7336fa3	191
8230f242	192	const Int_t kNclus = 3;
8230f242	193	const Int_t kNsig = 5;
3e1a3ad8	194	const Int_t kNtrack = 3 * kNclus;
3e1a3ad8	195
a5cadd36	196	Int_t iType = 0;
7ad19338	197	Int_t iUnfold = 0;
a5cadd36	198	Double_t ratioLeft = 1.0;
a5cadd36	199	Double_t ratioRight = 1.0;
db30bf0f	200
7ad19338	201	//
a5cadd36	202	Double_t padSignal[kNsig];
	203	Double_t clusterSignal[kNclus];
	204	Double_t clusterPads[kNclus];
	205	Int_t clusterDigit[kNclus];
	206	Int_t clusterTracks[kNtrack];
f7336fa3	207
a5cadd36	208	Int_t chamBeg = 0;
	209	Int_t chamEnd = AliTRDgeometry::Ncham();
	210	Int_t planBeg = 0;
	211	Int_t planEnd = AliTRDgeometry::Nplan();
	212	Int_t sectBeg = 0;
	213	Int_t sectEnd = AliTRDgeometry::Nsect();
f7336fa3	214
3e1a3ad8	215	// Start clustering in every chamber
f7336fa3	216	for (Int_t icham = chamBeg; icham < chamEnd; icham++) {
	217	for (Int_t iplan = planBeg; iplan < planEnd; iplan++) {
	218	for (Int_t isect = sectBeg; isect < sectEnd; isect++) {
	219
8230f242	220	Int_t idet = geo->GetDetector(iplan,icham,isect);
f7336fa3	221
db30bf0f	222	Int_t nClusters = 0;
	223	Int_t nClusters2pad = 0;
	224	Int_t nClusters3pad = 0;
	225	Int_t nClusters4pad = 0;
	226	Int_t nClusters5pad = 0;
	227	Int_t nClustersLarge = 0;
3e1a3ad8	228
47517f42	229	if (fVerbose > 0) {
17b26de4	230	printf("<AliTRDclusterizerV1::MakeCluster> ");
47517f42	231	printf("Analyzing chamber %d, plane %d, sector %d.\n"
	232	,icham,iplan,isect);
	233	}
f7336fa3	234
a5cadd36	235	Int_t nRowMax = fPar->GetRowMax(iplan,icham,isect);
	236	Int_t nColMax = fPar->GetColMax(iplan);
	237	Int_t nTimeBefore = fPar->GetTimeBefore();
	238	Int_t nTimeTotal = fPar->GetTimeTotal();
5443e65e	239
a5cadd36	240	AliTRDpadPlane *padPlane = fPar->GetPadPlane(iplan,icham);
f7336fa3	241
3e1a3ad8	242	// Get the digits
8230f242	243	digits = fDigitsManager->GetDigits(idet);
3e1a3ad8	244	digits->Expand();
793ff80c	245	track0 = fDigitsManager->GetDictionary(idet,0);
3e1a3ad8	246	track0->Expand();
793ff80c	247	track1 = fDigitsManager->GetDictionary(idet,1);
3e1a3ad8	248	track1->Expand();
793ff80c	249	track2 = fDigitsManager->GetDictionary(idet,2);
3e1a3ad8	250	track2->Expand();
	251
	252	// Loop through the chamber and find the maxima
	253	for ( row = 0; row < nRowMax; row++) {
95d99e62	254	// for ( col = 2; col < nColMax; col++) {
95d99e62	255	for ( col = 4; col < nColMax-2; col++) {
3e1a3ad8	256	for (time = 0; time < nTimeTotal; time++) {
3e1a3ad8	257
a819a5f7	258	Int_t signalL = TMath::Abs(digits->GetDataUnchecked(row,col ,time));
	259	Int_t signalM = TMath::Abs(digits->GetDataUnchecked(row,col-1,time));
	260	Int_t signalR = TMath::Abs(digits->GetDataUnchecked(row,col-2,time));
3e1a3ad8	261
7ad19338	262	// // Look for the maximum
	263	// if (signalM >= maxThresh) {
	264	// if (((signalL >= sigThresh) &&
	265	// (signalL < signalM)) \|\|
	266	// ((signalR >= sigThresh) &&
	267	// (signalR < signalM))) {
	268	// // Maximum found, mark the position by a negative signal
	269	// digits->SetDataUnchecked(row,col-1,time,-signalM);
	270	// }
	271	// }
3e1a3ad8	272	// Look for the maximum
db30bf0f	273	if (signalM >= maxThresh) {
7ad19338	274	if ( (signalL<=signalM) && (signalR<=signalM) && (signalL+signalR)>sigThresh ) {
3e1a3ad8	275	// Maximum found, mark the position by a negative signal
	276	digits->SetDataUnchecked(row,col-1,time,-signalM);
	277	}
	278	}
	279
	280	}
	281	}
	282	}
	283
	284	// Now check the maxima and calculate the cluster position
	285	for ( row = 0; row < nRowMax ; row++) {
db30bf0f	286	for (time = 0; time < nTimeTotal; time++) {
db30bf0f	287	for ( col = 1; col < nColMax-1; col++) {
3e1a3ad8	288
	289	// Maximum found ?
	290	if (digits->GetDataUnchecked(row,col,time) < 0) {
f7336fa3	291
9d0b222b	292	Int_t iPad;
8230f242	293	for (iPad = 0; iPad < kNclus; iPad++) {
3e1a3ad8	294	Int_t iPadCol = col - 1 + iPad;
	295	clusterSignal[iPad] = TMath::Abs(digits->GetDataUnchecked(row
	296	,iPadCol
	297	,time));
	298	clusterDigit[iPad] = digits->GetIndexUnchecked(row,iPadCol,time);
	299	clusterTracks[3*iPad ] = track0->GetDataUnchecked(row,iPadCol,time) - 1;
	300	clusterTracks[3*iPad+1] = track1->GetDataUnchecked(row,iPadCol,time) - 1;
	301	clusterTracks[3*iPad+2] = track2->GetDataUnchecked(row,iPadCol,time) - 1;
f7336fa3	302	}
f7336fa3	303
db30bf0f	304	// Count the number of pads in the cluster
	305	Int_t nPadCount = 0;
	306	Int_t ii = 0;
	307	while (TMath::Abs(digits->GetDataUnchecked(row,col-ii ,time))
	308	>= sigThresh) {
	309	nPadCount++;
	310	ii++;
	311	if (col-ii < 0) break;
	312	}
	313	ii = 0;
	314	while (TMath::Abs(digits->GetDataUnchecked(row,col+ii+1,time))
	315	>= sigThresh) {
	316	nPadCount++;
	317	ii++;
	318	if (col+ii+1 >= nColMax) break;
	319	}
	320
	321	nClusters++;
	322	switch (nPadCount) {
	323	case 2:
	324	iType = 0;
	325	nClusters2pad++;
	326	break;
	327	case 3:
	328	iType = 1;
	329	nClusters3pad++;
	330	break;
	331	case 4:
	332	iType = 2;
	333	nClusters4pad++;
	334	break;
	335	case 5:
	336	iType = 3;
	337	nClusters5pad++;
	338	break;
	339	default:
	340	iType = 4;
	341	nClustersLarge++;
	342	break;
	343	};
	344
7ad19338	345	// Look for 5 pad cluster with minimum in the middle
db30bf0f	346	Bool_t fivePadCluster = kFALSE;
3e1a3ad8	347	if (col < nColMax-3) {
3e1a3ad8	348	if (digits->GetDataUnchecked(row,col+2,time) < 0) {
db30bf0f	349	fivePadCluster = kTRUE;
	350	}
	351	if ((fivePadCluster) && (col < nColMax-5)) {
	352	if (digits->GetDataUnchecked(row,col+4,time) >= sigThresh) {
	353	fivePadCluster = kFALSE;
	354	}
	355	}
	356	if ((fivePadCluster) && (col > 1)) {
	357	if (digits->GetDataUnchecked(row,col-2,time) >= sigThresh) {
	358	fivePadCluster = kFALSE;
	359	}
	360	}
	361	}
	362
	363	// 5 pad cluster
	364	// Modify the signal of the overlapping pad for the left part
	365	// of the cluster which remains from a previous unfolding
	366	if (iUnfold) {
	367	clusterSignal[0] *= ratioLeft;
7ad19338	368	iType = 5;
db30bf0f	369	iUnfold = 0;
	370	}
	371
	372	// Unfold the 5 pad cluster
	373	if (fivePadCluster) {
	374	for (iPad = 0; iPad < kNsig; iPad++) {
	375	padSignal[iPad] = TMath::Abs(digits->GetDataUnchecked(row
	376	,col-1+iPad
	377	,time));
f7336fa3	378	}
db30bf0f	379	// Unfold the two maxima and set the signal on
db30bf0f	380	// the overlapping pad to the ratio
17b26de4	381	ratioRight = Unfold(kEpsilon,iplan,padSignal);
db30bf0f	382	ratioLeft = 1.0 - ratioRight;
db30bf0f	383	clusterSignal[2] *= ratioRight;
7ad19338	384	iType = 5;
db30bf0f	385	iUnfold = 1;
f7336fa3	386	}
f7336fa3	387
7ad19338	388
a5cadd36	389	Double_t clusterCharge = clusterSignal[0]
	390	+ clusterSignal[1]
	391	+ clusterSignal[2];
3e1a3ad8	392
db30bf0f	393	// The position of the cluster
3e1a3ad8	394	clusterPads[0] = row + 0.5;
3e1a3ad8	395	// Take the shift of the additional time bins into account
	396	clusterPads[2] = time - nTimeBefore + 0.5;
	397
17b26de4	398	if (fPar->LUTOn()) {
db30bf0f	399	// Calculate the position of the cluster by using the
db30bf0f	400	// lookup table method
7ad19338	401	clusterPads[1] =
7ad19338	402	fPar->LUTposition(iplan,clusterSignal[0]
17b26de4	403	,clusterSignal[1]
17b26de4	404	,clusterSignal[2]);
db30bf0f	405	}
db30bf0f	406	else {
db30bf0f	407	// Calculate the position of the cluster by using the
db30bf0f	408	// center of gravity method
7ad19338	409	for (Int_t i=0;i<5;i++) padSignal[i]=0;
	410	padSignal[2] = TMath::Abs(digits->GetDataUnchecked(row,col,time)); // central pad
	411	padSignal[1] = TMath::Abs(digits->GetDataUnchecked(row,col-1,time)); // left pad
	412	padSignal[3] = TMath::Abs(digits->GetDataUnchecked(row,col+1,time)); // right pad
	413	if (col>2 &&TMath::Abs(digits->GetDataUnchecked(row,col-2,time)<padSignal[1])){
	414	padSignal[0] = TMath::Abs(digits->GetDataUnchecked(row,col-2,time));
	415	}
	416	if (col<nColMax-3 &&TMath::Abs(digits->GetDataUnchecked(row,col+2,time)<padSignal[3])){
	417	padSignal[4] = TMath::Abs(digits->GetDataUnchecked(row,col+2,time));
	418	}
	419	clusterPads[1] = GetCOG(padSignal);
	420	Double_t check = fPar->LUTposition(iplan,clusterSignal[0]
	421	,clusterSignal[1]
	422	,clusterSignal[2]);
	423	// clusterPads[1] = check;
db30bf0f	424
	425	}
	426
a5cadd36	427	Double_t q0 = clusterSignal[0];
	428	Double_t q1 = clusterSignal[1];
	429	Double_t q2 = clusterSignal[2];
	430	Double_t clusterSigmaY2 = (q1(q0+q2)+4q0*q2) /
	431	(clusterCharge*clusterCharge);
a819a5f7	432
5443e65e	433	// Calculate the position and the error
7ad19338	434	Double_t colSize = padPlane->GetColSize(col);
7ad19338	435	Double_t rowSize = padPlane->GetRowSize(row);
a5cadd36	436	Double_t clusterPos[3];
7ad19338	437	clusterPos[0] = padPlane->GetColPos(col) + (clusterPads[1]-0.5)*colSize; // MI change
7ad19338	438	clusterPos[1] = padPlane->GetRowPos(row) -0.5*rowSize; //MI change
5443e65e	439	clusterPos[2] = clusterPads[2];
a5cadd36	440	Double_t clusterSig[2];
5443e65e	441	clusterSig[0] = (clusterSigmaY2 + 1./12.) * colSize*colSize;
7ad19338	442	clusterSig[1] = rowSize * rowSize / 12.;
f7336fa3	443	// Add the cluster to the output array
bdbb05bb	444	AddCluster(clusterPos
a5cadd36	445	,idet
	446	,clusterCharge
	447	,clusterTracks
	448	,clusterSig
	449	,iType);
f7336fa3	450
f7336fa3	451	}
3e1a3ad8	452	}
	453	}
	454	}
f7336fa3	455
3e1a3ad8	456	// Compress the arrays
	457	digits->Compress(1,0);
	458	track0->Compress(1,0);
7ad19338	459	track1->Compress(1,0);
3e1a3ad8	460	track2->Compress(1,0);
f7336fa3	461
3e1a3ad8	462	// Write the cluster and reset the array
793ff80c	463	WriteClusters(idet);
bdbb05bb	464	ResetRecPoints();
3e1a3ad8	465	}
	466	}
	467	}
f7336fa3	468
47517f42	469	if (fVerbose > 0) {
17b26de4	470	printf("<AliTRDclusterizerV1::MakeCluster> ");
47517f42	471	printf("Done.\n");
47517f42	472	}
f7336fa3	473
	474	return kTRUE;
	475
	476	}
	477
7ad19338	478	Double_t AliTRDclusterizerV1::GetCOG(Double_t signal[5])
	479	{
	480	//
	481	// get COG position
	482	// used for clusters with more than 3 pads - where LUT not applicable
	483	Double_t sum = signal[0]+signal[1]+signal[2]+signal[3]+signal[4];
	484	Double_t res = (0.0*(-signal[0]+signal[4])+(-signal[1]+signal[3]))/sum;
	485	return res;
	486	}
	487
	488
	489
f7336fa3	490	//_____________________________________________________________________________
a5cadd36	491	Double_t AliTRDclusterizerV1::Unfold(Double_t eps, Int_t plane, Double_t* padSignal)
f7336fa3	492	{
	493	//
	494	// Method to unfold neighbouring maxima.
	495	// The charge ratio on the overlapping pad is calculated
	496	// until there is no more change within the range given by eps.
	497	// The resulting ratio is then returned to the calling method.
	498	//
	499
a5cadd36	500	Int_t irc = 0;
a5cadd36	501	Int_t itStep = 0; // Count iteration steps
f7336fa3	502
a5cadd36	503	Double_t ratio = 0.5; // Start value for ratio
a5cadd36	504	Double_t prevRatio = 0; // Store previous ratio
f7336fa3	505
a5cadd36	506	Double_t newLeftSignal[3] = {0}; // Array to store left cluster signal
	507	Double_t newRightSignal[3] = {0}; // Array to store right cluster signal
	508	Double_t newSignal[3] = {0};
f7336fa3	509
3e1a3ad8	510	// Start the iteration
f7336fa3	511	while ((TMath::Abs(prevRatio - ratio) > eps) && (itStep < 10)) {
	512
	513	itStep++;
	514	prevRatio = ratio;
	515
3e1a3ad8	516	// Cluster position according to charge ratio
a5cadd36	517	Double_t maxLeft = (ratio*padSignal[2] - padSignal[0])
	518	/ (padSignal[0] + padSignal[1] + ratio*padSignal[2]);
	519	Double_t maxRight = (padSignal[4] - (1-ratio)*padSignal[2])
	520	/ ((1-ratio)*padSignal[2] + padSignal[3] + padSignal[4]);
f7336fa3	521
3e1a3ad8	522	// Set cluster charge ratio
17b26de4	523	irc = fPar->PadResponse(1.0,maxLeft ,plane,newSignal);
a5cadd36	524	Double_t ampLeft = padSignal[1] / newSignal[1];
17b26de4	525	irc = fPar->PadResponse(1.0,maxRight,plane,newSignal);
a5cadd36	526	Double_t ampRight = padSignal[3] / newSignal[1];
f7336fa3	527
3e1a3ad8	528	// Apply pad response to parameters
17b26de4	529	irc = fPar->PadResponse(ampLeft ,maxLeft ,plane,newLeftSignal );
17b26de4	530	irc = fPar->PadResponse(ampRight,maxRight,plane,newRightSignal);
f7336fa3	531
3e1a3ad8	532	// Calculate new overlapping ratio
a5cadd36	533	ratio = TMath::Min((Double_t)1.0,newLeftSignal[2] /
db30bf0f	534	(newLeftSignal[2] + newRightSignal[0]));
f7336fa3	535
	536	}
	537
	538	return ratio;
	539
	540	}
	541