* provided "as is" without express or implied warranty. *
**************************************************************************/
+/* $Id$ */
+
//-----------------------------------------------------//
// //
// Source File : PMDClusteringV1.cxx, Version 00 //
Bhubaneswar 751 005 ( phatak@iopb.res.in ) Given the energy deposited
( or ADC value ) in each cell of supermodule ( pmd or cpv ), the code
builds up superclusters and breaks them into clusters. The input is
- in array fEdepCell[kNDIMX][kNDIMY] and cluster information is in array
- fClusters[5][5000]. integer fClno gives total number of clusters in the
+ in array edepcell[kNMX] and cluster information is in a
+ TObjarray. Integer clno gives total number of clusters in the
supermodule.
- fEdepCell, fClno and fClusters are the only global ( public ) variables.
+ fClusters is the only global ( public ) variables.
Others are local ( private ) to the code.
At the moment, the data is read for whole detector ( all supermodules
and pmd as well as cpv. This will have to be modify later )
LAST UPDATE : October 23, 2002
-----------------------------------------------------------------------*/
-#include "Riostream.h"
+#include <Riostream.h>
+#include <TMath.h>
#include <TNtuple.h>
#include <TObjArray.h>
+#include "TRandom.h"
#include <stdio.h>
+#include "AliPMDcludata.h"
#include "AliPMDcluster.h"
#include "AliPMDClustering.h"
#include "AliPMDClusteringV1.h"
#include "AliLog.h"
+
ClassImp(AliPMDClusteringV1)
const Double_t AliPMDClusteringV1::fgkSqroot3by2=0.8660254; // sqrt(3.)/2.
AliPMDClusteringV1::AliPMDClusteringV1():
- fClno(0),
+ fPMDclucont(new TObjArray()),
fCutoff(0.0)
{
- for(int i = 0; i < kNDIMX; i++)
+ for(Int_t i = 0; i < kNDIMX; i++)
{
- for(int j = 0; j < kNDIMY; j++)
+ for(Int_t j = 0; j < kNDIMY; j++)
{
fCoord[0][i][j] = i+j/2.;
fCoord[1][i][j] = fgkSqroot3by2*j;
- fEdepCell[i][j] = 0;
}
}
}
// ------------------------------------------------------------------------ //
+AliPMDClusteringV1::AliPMDClusteringV1(const AliPMDClusteringV1& pmdclv1):
+ AliPMDClustering(pmdclv1),
+ fPMDclucont(0),
+ fCutoff(0)
+{
+ // copy constructor
+ AliError("Copy constructor not allowed ");
+
+}
+// ------------------------------------------------------------------------ //
+AliPMDClusteringV1 &AliPMDClusteringV1::operator=(const AliPMDClusteringV1& /*pmdclv1*/)
+{
+ // copy constructor
+ AliError("Assignment operator not allowed ");
+ return *this;
+}
+// ------------------------------------------------------------------------ //
AliPMDClusteringV1::~AliPMDClusteringV1()
{
-
+ delete fPMDclucont;
}
// ------------------------------------------------------------------------ //
-void AliPMDClusteringV1::DoClust(Int_t idet, Int_t ismn, Double_t celladc[48][96], TObjArray *pmdcont)
+void AliPMDClusteringV1::DoClust(Int_t idet, Int_t ismn,
+ Double_t celladc[48][96], TObjArray *pmdcont)
{
// main function to call other necessary functions to do clustering
//
- AliPMDcluster *pmdcl = 0;
- /*
- int id and jd defined to read the input data.
- It is assumed that for data we have 0 <= id <= 48
- and 0 <= jd <=96
- */
- int i, i1, i2, j, nmx1, incr, id, jd;
- Int_t celldataX[15], celldataY[15];
- Float_t clusdata[6];
-
- Double_t cutoff, ave;
+ AliPMDcluster *pmdcl = 0;
const float ktwobysqrt3 = 1.1547; // 2./sqrt(3.)
+ const Int_t kNmaxCell = 19; // # of cells surrounding a cluster center
+
+ Int_t i, j, nmx1, incr, id, jd;
+ Int_t celldataX[kNmaxCell], celldataY[kNmaxCell];
+ Float_t clusdata[6];
+ Double_t cutoff, ave;
+ Double_t edepcell[kNMX];
+
+
+ Double_t *cellenergy = new Double_t [11424];
+
// ndimXr and ndimYr are different because of different module size
- Int_t ndimXr =0;
- Int_t ndimYr =0;
+ Int_t ndimXr = 0;
+ Int_t ndimYr = 0;
if (ismn < 12)
{
ndimYr = 96;
}
- for (Int_t i =0; i < kNDIMX; i++)
+ for (i =0; i < 11424; i++)
+ {
+ cellenergy[i] = 0.;
+ }
+
+
+ Int_t kk = 0;
+ for (i = 0; i < kNDIMX; i++)
{
- for (Int_t j =0; j < kNDIMY; j++)
+ for (j = 0; j < kNDIMY; j++)
{
- fEdepCell[i][j] = 0;
- fCellTrNo[i][j] = -1;
+ edepcell[kk] = 0.;
+ kk++;
}
}
{
for (jd = 0; jd < ndimYr; jd++)
{
- j=jd;
- i=id+(ndimYr/2-1)-(jd/2);
+ j = jd;
+ i = id+(ndimYr/2-1)-(jd/2);
+ Int_t ij = i + j*kNDIMX;
+
if (ismn < 12)
{
- fEdepCell[i][j] = celladc[jd][id];
- fCellTrNo[i][j] = jd*10000+id; /* for association */
+ cellenergy[ij] = celladc[jd][id];
}
else if (ismn >= 12 && ismn <= 23)
{
- fEdepCell[i][j] = celladc[id][jd];
- fCellTrNo[i][j] = id*10000+jd; /* for association */
+ cellenergy[ij] = celladc[id][jd];
}
-
}
}
- Order(); // order the data
- cutoff = fCutoff; // cutoff used to discard cells having ener. dep.
- ave=0.;
- nmx1=-1;
+
+ for (i = 0; i < kNMX; i++)
+ {
+ edepcell[i] = cellenergy[i];
+ }
+
+ delete [] cellenergy;
- for(j=0;j<kNMX; j++)
+ Int_t iord1[kNMX];
+ TMath::Sort((Int_t)kNMX,edepcell,iord1);// order the data
+ cutoff = fCutoff; // cutoff to discard cells
+ ave = 0.;
+ nmx1 = -1;
+ for(i = 0;i < kNMX; i++)
{
- i1 = fIord[0][j];
- i2 = fIord[1][j];
- if (fEdepCell[i1][i2] > 0.) {ave = ave + fEdepCell[i1][i2];}
- if (fEdepCell[i1][i2] > cutoff ) nmx1 = nmx1 + 1;
+ if(edepcell[i] > 0.)
+ {
+ ave += edepcell[i];
+ }
+ if(edepcell[i] > cutoff )
+ {
+ nmx1++;
+ }
}
-
+
AliDebug(1,Form("Number of cells having energy >= %f are %d",cutoff,nmx1));
if (nmx1 == 0) nmx1 = 1;
- ave=ave/nmx1;
-
+ ave = ave/nmx1;
AliDebug(1,Form("Number of cells in a SuperM = %d and Average = %f",
kNMX,ave));
-
- incr = CrClust(ave, cutoff, nmx1);
- RefClust(incr);
-
- AliDebug(1,Form("Detector Plane = %d Serial Module No = %d Number of clusters = %d",idet, ismn, fClno));
-
- for(i1=0; i1<=fClno; i1++)
+ incr = CrClust(ave, cutoff, nmx1,iord1, edepcell );
+ RefClust(incr,edepcell);
+ Int_t nentries1 = fPMDclucont->GetEntries();
+ AliDebug(1,Form("Detector Plane = %d Serial Module No = %d Number of clusters = %d",idet, ismn, nentries1));
+ AliDebug(1,Form("Total number of clusters/module = %d",nentries1));
+
+ for (Int_t ient1 = 0; ient1 < nentries1; ient1++)
{
- Float_t cluXC = (Float_t) fClusters[0][i1];
- Float_t cluYC = (Float_t) fClusters[1][i1];
- Float_t cluADC = (Float_t) fClusters[2][i1];
- Float_t cluCELLS = (Float_t) fClusters[3][i1];
- Float_t cluRAD = (Float_t) fClusters[4][i1];
+ AliPMDcludata *pmdcludata =
+ (AliPMDcludata*)fPMDclucont->UncheckedAt(ient1);
+ Float_t cluXC = pmdcludata->GetClusX();
+ Float_t cluYC = pmdcludata->GetClusY();
+ Float_t cluADC = pmdcludata->GetClusADC();
+ Float_t cluCELLS = pmdcludata->GetClusCells();
+ Float_t cluSIGX = pmdcludata->GetClusSigmaX();
+ Float_t cluSIGY = pmdcludata->GetClusSigmaY();
+
Float_t cluY0 = ktwobysqrt3*cluYC;
Float_t cluX0 = cluXC - cluY0/2.;
-
-
+
//
// Cluster X centroid is back transformed
//
+
if (ismn < 12)
{
clusdata[0] = cluX0 - (24-1) + cluY0/2.;
}
- else if (ismn >= 12 && ismn <= 23)
+ else if ( ismn >= 12 && ismn <= 23)
{
clusdata[0] = cluX0 - (48-1) + cluY0/2.;
}
+
clusdata[1] = cluY0;
clusdata[2] = cluADC;
clusdata[3] = cluCELLS;
- clusdata[4] = cluRAD;
- clusdata[5] = 0.;
-
+ clusdata[4] = cluSIGX;
+ clusdata[5] = cluSIGY;
+
//
// Cells associated with a cluster
//
- for (Int_t ihit = 0; ihit < 15; ihit++)
+
+ for (Int_t ihit = 0; ihit < kNmaxCell; ihit++)
{
+ Int_t cellrow = pmdcludata->GetCellXY(ihit)/10000;
+ Int_t cellcol = pmdcludata->GetCellXY(ihit)%10000;
if (ismn < 12)
{
- celldataX[ihit] = fClTr[ihit][i1]%10000;
- celldataY[ihit] = fClTr[ihit][i1]/10000;
+ celldataX[ihit] = cellrow - (24-1) + int(cellcol/2.);
}
else if (ismn >= 12 && ismn <= 23)
{
- celldataX[ihit] = fClTr[ihit][i1]/10000;
- celldataY[ihit] = fClTr[ihit][i1]%10000;
+ celldataX[ihit] = cellrow - (48-1) + int(cellcol/2.);
}
+
+ celldataY[ihit] = cellcol;
}
- //printf("%d %f %f\n",idet,cluXC,cluYC );
+
+
pmdcl = new AliPMDcluster(idet, ismn, clusdata, celldataX, celldataY);
pmdcont->Add(pmdcl);
}
+
+ fPMDclucont->Delete();
}
// ------------------------------------------------------------------------ //
-void AliPMDClusteringV1::Order()
+Int_t AliPMDClusteringV1::CrClust(Double_t ave, Double_t cutoff, Int_t nmx1,
+ Int_t iord1[], Double_t edepcell[])
{
- // Sorting algorithm
- // sorts the ADC values from higher to lower
- //
- double dd[kNMX];
- // matrix fEdepCell converted into
- // one dimensional array dd. adum a place holder for double
- int i, j, i1, i2, iord1[kNMX];
- // information of
- // ordering is stored in iord1, original array not ordered
+ // Does crude clustering
+ // Finds out only the big patch by just searching the
+ // connected cells
//
- // define arrays dd and iord1
- for(i1=0; i1 < kNDIMX; i1++)
+ const Int_t kndim = 4609;
+ Int_t i,j,k,id1,id2,icl, numcell, clust[2][kndim];
+ Int_t jd1,jd2, icell, cellcount;
+ static Int_t neibx[6]={1,0,-1,-1,0,1}, neiby[6]={0,1,1,0,-1,-1};
+
+ AliDebug(1,Form("kNMX = %d nmx1 = %d kNDIMX = %d kNDIMY = %d ave = %f cutoff = %f",kNMX,nmx1,kNDIMX,kNDIMY,ave,cutoff));
+
+ for (j = 0; j < kNDIMX; j++)
{
- for(i2=0; i2 < kNDIMY; i2++)
+ for(k = 0; k < kNDIMY; k++)
{
- i = i1 + i2*kNDIMX;
- iord1[i] = i;
- dd[i] = fEdepCell[i1][i2];
+ fInfocl[0][j][k] = 0;
+ fInfocl[1][j][k] = 0;
}
}
-
- TMath::Sort(kNMX,dd,iord1); //PH Using much better algorithm...
- // store the sorted information in fIord for later use
- for(i=0; i<kNMX; i++)
+ for(i=0; i < kNMX; i++)
{
+ fInfcl[0][i] = -1;
+
j = iord1[i];
- i2 = j/kNDIMX;
- i1 = j-i2*kNDIMX;
- fIord[0][i]=i1;
- fIord[1][i]=i2;
- }
-}
-// ------------------------------------------------------------------------ //
-int AliPMDClusteringV1::CrClust(double ave, double cutoff, int nmx1)
-{
- // Does crude clustering
- // Finds out only the big patch by just searching the
- // connected cells
- //
- int i,j,k,id1,id2,icl, numcell, clust[2][5000];
- int jd1,jd2, icell, cellcount;
- static int neibx[6]={1,0,-1,-1,0,1}, neiby[6]={0,1,1,0,-1,-1};
- // neibx and neiby define ( incremental ) (i,j) for the neighbours of a
- // cell. There are six neighbours.
- // cellcount --- total number of cells having nonzero ener dep
- // numcell --- number of cells in a given supercluster
- // ofstream ofl0("cells_loc",ios::out);
- // initialize fInfocl[2][kNDIMX][kNDIMY]
+ id2 = j/kNDIMX;
+ id1 = j-id2*kNDIMX;
- AliDebug(1,Form("kNMX = %d nmx1 = %d kNDIMX = %d kNDIMY = %d ave = %f cutoff = %f",kNMX,nmx1,kNDIMX,kNDIMY,ave,cutoff));
-
- for (j=0; j < kNDIMX; j++){
- for(k=0; k < kNDIMY; k++){
- fInfocl[0][j][k] = 0;
- fInfocl[1][j][k] = 0;
+ if(edepcell[j] <= cutoff)
+ {
+ fInfocl[0][id1][id2] = -1;
+ }
}
- }
- for(i=0; i < kNMX; i++){
- fInfcl[0][i] = -1;
- id1=fIord[0][i];
- id2=fIord[1][i];
- if(fEdepCell[id1][id2] <= cutoff){fInfocl[0][id1][id2]=-1;}
- }
+
// ---------------------------------------------------------------
// crude clustering begins. Start with cell having largest adc
// count and loop over the cells in descending order of adc count
// ---------------------------------------------------------------
- icl=-1;
- cellcount=-1;
- for(icell=0; icell <= nmx1; icell++){
- id1=fIord[0][icell];
- id2=fIord[1][icell];
- if(fInfocl[0][id1][id2] == 0 ){
- // ---------------------------------------------------------------
- // icl -- cluster #, numcell -- # of cells in it, clust -- stores
- // coordinates of the cells in a cluster, fInfocl[0][i1][i2] is 1 for
- // primary and 2 for secondary cells,
- // fInfocl[1][i1][i2] stores cluster #
- // ---------------------------------------------------------------
- icl=icl+1;
- numcell=0;
- cellcount = cellcount + 1;
- fInfocl[0][id1][id2]=1;
- fInfocl[1][id1][id2]=icl;
- fInfcl[0][cellcount]=icl;
- fInfcl[1][cellcount]=id1;
- fInfcl[2][cellcount]=id2;
-
- clust[0][numcell]=id1;
- clust[1][numcell]=id2;
- for(i=1; i<5000; i++)clust[0][i]=0;
- // ---------------------------------------------------------------
- // check for adc count in neib. cells. If ne 0 put it in this clust
- // ---------------------------------------------------------------
- for(i=0; i<6; i++){
- jd1=id1+neibx[i];
- jd2=id2+neiby[i];
- if( (jd1 >= 0 && jd1 < kNDIMX) && (jd2 >= 0 && jd2 < kNDIMY) &&
- fInfocl[0][jd1][jd2] == 0){
- numcell=numcell+1;
- fInfocl[0][jd1][jd2]=2;
- fInfocl[1][jd1][jd2]=icl;
- clust[0][numcell]=jd1;
- clust[1][numcell]=jd2;
- cellcount=cellcount+1;
- fInfcl[0][cellcount]=icl;
- fInfcl[1][cellcount]=jd1;
- fInfcl[2][cellcount]=jd2;
- }
- }
- // ---------------------------------------------------------------
- // check adc count for neighbour's neighbours recursively and
- // if nonzero, add these to the cluster.
- // ---------------------------------------------------------------
- for(i=1;i < 5000;i++){
- if(clust[0][i] != 0){
- id1=clust[0][i];
- id2=clust[1][i];
- for(j=0; j<6 ; j++){
- jd1=id1+neibx[j];
- jd2=id2+neiby[j];
- if( (jd1 >= 0 && jd1 < kNDIMX) && (jd2 >= 0 && jd2 < kNDIMY) &&
- fInfocl[0][jd1][jd2] == 0 ){
- fInfocl[0][jd1][jd2] = 2;
- fInfocl[1][jd1][jd2] = icl;
- numcell = numcell + 1;
- clust[0][numcell] = jd1;
- clust[1][numcell] = jd2;
- cellcount = cellcount+1;
- fInfcl[0][cellcount] = icl;
- fInfcl[1][cellcount] = jd1;
- fInfcl[2][cellcount] = jd2;
+
+ icl = -1;
+ cellcount = -1;
+
+ for(icell = 0; icell <= nmx1; icell++)
+ {
+ j = iord1[icell];
+ id2 = j/kNDIMX;
+ id1 = j-id2*kNDIMX;
+
+ if(fInfocl[0][id1][id2] == 0 )
+ {
+ icl++;
+ numcell = 0;
+ cellcount++;
+ fInfocl[0][id1][id2] = 1;
+ fInfocl[1][id1][id2] = icl;
+ fInfcl[0][cellcount] = icl;
+ fInfcl[1][cellcount] = id1;
+ fInfcl[2][cellcount] = id2;
+
+ clust[0][numcell] = id1;
+ clust[1][numcell] = id2;
+
+ for(i = 1; i < kndim; i++)
+ {
+ clust[0][i]=0;
+ }
+ // ---------------------------------------------------------------
+ // check for adc count in neib. cells. If ne 0 put it in this clust
+ // ---------------------------------------------------------------
+ for(i = 0; i < 6; i++)
+ {
+ jd1 = id1 + neibx[i];
+ jd2 = id2 + neiby[i];
+ if( (jd1 >= 0 && jd1 < kNDIMX) && (jd2 >= 0 && jd2 < kNDIMY) &&
+ fInfocl[0][jd1][jd2] == 0)
+ {
+ numcell++;
+ fInfocl[0][jd1][jd2] = 2;
+ fInfocl[1][jd1][jd2] = icl;
+ clust[0][numcell] = jd1;
+ clust[1][numcell] = jd2;
+ cellcount++;
+ fInfcl[0][cellcount] = icl;
+ fInfcl[1][cellcount] = jd1;
+ fInfcl[2][cellcount] = jd2;
+ }
+ }
+ // ---------------------------------------------------------------
+ // check adc count for neighbour's neighbours recursively and
+ // if nonzero, add these to the cluster.
+ // ---------------------------------------------------------------
+ for(i = 1; i < kndim;i++)
+ {
+ if(clust[0][i] != 0)
+ {
+ id1 = clust[0][i];
+ id2 = clust[1][i];
+ for(j = 0; j < 6 ; j++)
+ {
+ jd1 = id1 + neibx[j];
+ jd2 = id2 + neiby[j];
+ if( (jd1 >= 0 && jd1 < kNDIMX) &&
+ (jd2 >= 0 && jd2 < kNDIMY) &&
+ fInfocl[0][jd1][jd2] == 0 )
+ {
+ fInfocl[0][jd1][jd2] = 2;
+ fInfocl[1][jd1][jd2] = icl;
+ numcell++;
+ clust[0][numcell] = jd1;
+ clust[1][numcell] = jd2;
+ cellcount++;
+ fInfcl[0][cellcount] = icl;
+ fInfcl[1][cellcount] = jd1;
+ fInfcl[2][cellcount] = jd2;
+ }
+ }
+ }
}
- }
}
- }
}
- }
-
- // for(icell=0; icell<=cellcount; icell++){
- // ofl0 << fInfcl[0][icell] << " " << fInfcl[1][icell] << " " <<
- // fInfcl[2][icell] << endl;
- //}
-
return cellcount;
}
// ------------------------------------------------------------------------ //
-void AliPMDClusteringV1::RefClust(int incr)
+void AliPMDClusteringV1::RefClust(Int_t incr, Double_t edepcell[])
{
// Does the refining of clusters
// Takes the big patch and does gaussian fitting and
// finds out the more refined clusters
//
- int i, j, k, i1, i2, id, icl, ncl[4500], iord[4500], itest;
- int ihld;
- int ig, nsupcl, lev1[20], lev2[20];
- double x[4500], y[4500], z[4500], x1, y1, z1, x2, y2, z2, dist;
- double xc[4500], yc[4500], zc[4500], cells[4500], sum, rc[4500], rr;
+ AliPMDcludata *pmdcludata = 0;
- //asso
- Int_t t[4500],cellCount[4500];
- for(i=0; i<4500; i++)
- {
- t[i]=-1;
- cellCount[i]=0;
- }
+ const Int_t kNmaxCell = 19; // # of cells surrounding a cluster center
+
+ Int_t ndim = incr + 1;
+ Int_t *ncl = 0x0;
+ Int_t *clxy = 0x0;
+ Int_t i12, i22;
+ Int_t i, j, k, i1, i2, id, icl, itest,ihld, ig, nsupcl,clno, t1, t2;
+ Float_t clusdata[6];
+ Double_t x1, y1, z1, x2, y2, z2, rr;
- // fClno counts the final clusters
+ ncl = new Int_t [ndim];
+ clxy = new Int_t [kNmaxCell];
+
+ // Initialisation
+ for(i = 0; i<ndim; i++)
+ {
+ ncl[i] = -1;
+ if (i < 6) clusdata[i] = 0.;
+ if (i < kNmaxCell) clxy[i] = 0;
+ }
+
+ // clno counts the final clusters
// nsupcl = # of superclusters; ncl[i]= # of cells in supercluster i
// x, y and z store (x,y) coordinates of and energy deposited in a cell
// xc, yc store (x,y) coordinates of the cluster center
// zc stores the energy deposited in a cluster
// rc is cluster radius
- // finally the cluster information is put in 2-dimensional array clusters
- //ofstream ofl1("checking.5",ios::app);
- fClno = -1;
+
+ clno = -1;
nsupcl = -1;
- for(i=0; i<4500; i++){ncl[i]=-1;}
- for(i=0; i<= incr; i++){
- if(fInfcl[0][i] != nsupcl){ nsupcl=nsupcl+1; }
- if (nsupcl > 4500) {
- AliWarning("RefClust: Too many superclusters!");
- nsupcl = 4500;
- break;
- }
-
- ncl[nsupcl]=ncl[nsupcl]+1;
- }
- AliDebug(1,Form("Number of cells = %d Number of Superclusters = %d",
- incr+1,nsupcl+1));
- id=-1;
- icl=-1;
- for(i=0; i<=nsupcl; i++) {
- if(ncl[i] == 0){
- id=id+1;
- icl=icl+1;
- // one cell super-clusters --> single cluster
- // cluster center at the centyer of the cell
- // cluster radius = half cell dimension
- if (fClno >= 5000) {
- AliWarning("RefClust: Too many clusters! more than 5000");
- return;
- }
- fClno = fClno + 1;
- i1 = fInfcl[1][id];
- i2 = fInfcl[2][id];
- fClusters[0][fClno] = fCoord[0][i1][i2];
- fClusters[1][fClno] = fCoord[1][i1][i2];
- fClusters[2][fClno] = fEdepCell[i1][i2];
- fClusters[3][fClno] = 1.;
- fClusters[4][fClno] = 0.5;
-
- //association
-
- fClTr[0][fClno]=fCellTrNo[i1][i2];
- for(Int_t icltr=1;icltr<14;icltr++)
+ for(i = 0; i <= incr; i++)
+ {
+ if(fInfcl[0][i] != nsupcl)
{
- fClTr[icltr][fClno]=-1;
+ nsupcl++;
}
-
- //ofl1 << icl << " " << fCoord[0][i1][i2] << " " << fCoord[1][i1][i2] <<
- //" " << fEdepCell[i1][i2] << " " << fClusters[3][fClno] <<endl;
-
- }else if(ncl[i] == 1){
- // two cell super-cluster --> single cluster
- // cluster center is at ener. dep.-weighted mean of two cells
- // cluster radius == half cell dimension
- id = id + 1;
- icl = icl+1;
- if (fClno >= 5000) {
- AliWarning("RefClust: Too many clusters! more than 5000");
- return;
- }
- fClno = fClno+1;
- i1 = fInfcl[1][id];
- i2 = fInfcl[2][id];
- x1 = fCoord[0][i1][i2];
- y1 = fCoord[1][i1][i2];
- z1 = fEdepCell[i1][i2];
-
- //asso
- fClTr[0][fClno]=fCellTrNo[i1][i2];
- //
-
- id = id+1;
- i1 = fInfcl[1][id];
- i2 = fInfcl[2][id];
- x2 = fCoord[0][i1][i2];
- y2 = fCoord[1][i1][i2];
- z2 = fEdepCell[i1][i2];
-
- //asso
-
- fClTr[1][fClno]=fCellTrNo[i1][i2];
- for(Int_t icltr=2;icltr<14;icltr++)
+ if (nsupcl > ndim)
{
- fClTr[icltr][fClno] = -1;
+ AliWarning("RefClust: Too many superclusters!");
+ nsupcl = ndim;
+ break;
}
- //
-
- fClusters[0][fClno] = (x1*z1+x2*z2)/(z1+z2);
- fClusters[1][fClno] = (y1*z1+y2*z2)/(z1+z2);
- fClusters[2][fClno] = z1+z2;
- fClusters[3][fClno] = 2.;
- fClusters[4][fClno] = 0.5;
-
-
- //ofl1 << icl << " " << fClusters[0][fClno] << " " << fClusters[1][fClno]
- // << " " << fClusters[2][fClno] << " " <<fClusters[3][fClno] <<endl;
+ ncl[nsupcl]++;
}
- else{
-
- //asso
- for(Int_t icg=0;icg<4500;icg++)
+
+ AliDebug(1,Form("Number of cells = %d Number of Superclusters = %d",
+ incr+1,nsupcl+1));
+ id = -1;
+ icl = -1;
+
+ for(i = 0; i <= nsupcl; i++)
+ {
+ if(ncl[i] == 0)
{
- cellCount[icg]=0;
- }
- //
-
- id = id + 1;
- iord[0] = 0;
- // super-cluster of more than two cells - broken up into smaller
- // clusters gaussian centers computed. (peaks separated by > 1 cell)
- // Begin from cell having largest energy deposited This is first
- // cluster center
- i1 = fInfcl[1][id];
- i2 = fInfcl[2][id];
- x[0] = fCoord[0][i1][i2];
- y[0] = fCoord[1][i1][i2];
- z[0] = fEdepCell[i1][i2];
-
- //asso
- t[0]=fCellTrNo[i1][i2];
- //
-
- iord[0] = 0;
- for(j=1;j<=ncl[i];j++){
-
- id = id + 1;
- i1 = fInfcl[1][id];
- i2 = fInfcl[2][id];
- iord[j] = j;
- x[j] = fCoord[0][i1][i2];
- y[j] = fCoord[1][i1][i2];
- z[j] = fEdepCell[i1][i2];
-
- //asso
- t[j]=fCellTrNo[i1][i2];
- //
-
-
- }
- // arranging cells within supercluster in decreasing order
- for(j=1;j<=ncl[i];j++){
- itest=0;
- ihld=iord[j];
- for(i1=0;i1<j;i1++){
- if(itest == 0 && z[iord[i1]] < z[ihld]){
- itest=1;
- for(i2=j-1;i2>=i1;i2--){
- iord[i2+1]=iord[i2];
+ id++;
+ icl++;
+ if (clno >= 4608)
+ {
+ AliWarning("RefClust: Too many clusters! more than 4608");
+ return;
}
- iord[i1]=ihld;
- }
- }
- }
-
- // compute the number of Gaussians and their centers ( first
- // guess )
- // centers must be separated by cells having smaller ener. dep.
- // neighbouring centers should be either strong or well-separated
- ig=0;
- xc[ig]=x[iord[0]];
- yc[ig]=y[iord[0]];
- zc[ig]=z[iord[0]];
- for(j=1;j<=ncl[i];j++){
- itest=-1;
- x1=x[iord[j]];
- y1=y[iord[j]];
- for(k=0;k<=ig;k++){
- x2=xc[k]; y2=yc[k];
- rr=Distance(x1,y1,x2,y2);
- if( rr >= 1.1 && rr < 1.8 && z[iord[j]] > zc[k]/4.)
- itest=itest+1;
- if( rr >= 1.8 && rr < 2.1 && z[iord[j]] > zc[k]/10.)
- itest=itest+1;
- if( rr >= 2.1)itest=itest+1;
- }
- if(itest == ig){
- ig=ig+1;
- xc[ig]=x1;
- yc[ig]=y1;
- zc[ig]=z[iord[j]];
- }
- }
- // for(j=0; j<=ig; j++){
- //ofl1 << icl+j+1 << " " << xc[j] << " " <<yc[j] <<" "<<zc[j]<<endl;
- //}
- // GaussFit to adjust cluster parameters to minimize
- GaussFit(ncl[i], ig, x[0], y[0] ,z[0], xc[0], yc[0], zc[0], rc[0]);
- icl=icl+ig+1;
- // compute the number of cells belonging to each cluster.
- // cell is shared between several clusters ( if they are equidistant
- // from it ) in the ratio of cluster energy deposition
- for(j=0; j<=ig; j++){
- cells[j]=0.;
- }
- if(ig > 0){
- for(j=0; j<=ncl[i]; j++){
- lev1[j]=0;
- lev2[j]=0;
- for(k=0; k<=ig; k++){
- dist=Distance(x[j], y[j], xc[k], yc[k]);
- if(dist < sqrt(3.) ){
-
- //asso
- fClTr[cellCount[k]][fClno+k+1]=t[j];
- cellCount[k]++;
- //
-
- lev1[0]++;
- i1=lev1[0];
- lev1[i1]=k;
- }else{
- if(dist < 2.1){
- lev2[0]++;
- i1=lev2[0];
- lev2[i1]=k;
- }
+ clno++;
+ i1 = fInfcl[1][id];
+ i2 = fInfcl[2][id];
+
+ i12 = i1 + i2*kNDIMX;
+
+ clusdata[0] = fCoord[0][i1][i2];
+ clusdata[1] = fCoord[1][i1][i2];
+ clusdata[2] = edepcell[i12];
+ clusdata[3] = 1.;
+ clusdata[4] = 0.5;
+ clusdata[5] = 0.0;
+
+ clxy[0] = i1*10000 + i2;
+
+ for(Int_t icltr = 1; icltr < kNmaxCell; icltr++)
+ {
+ clxy[icltr] = -1;
}
- }
- if(lev1[0] != 0){
- if(lev1[0] == 1){cells[lev1[1]]=cells[lev1[1]]+1.;}
- else{
- sum=0.;
- for(k=1; k<=lev1[0]; k++){
- sum=sum+zc[lev1[k]];
- }
- for(k=1; k<=lev1[0]; k++){
- cells[lev1[k]]=cells[lev1[k]]+zc[lev1[k]]/sum;
- }
+ pmdcludata = new AliPMDcludata(clusdata,clxy);
+ fPMDclucont->Add(pmdcludata);
+ }
+ else if(ncl[i] == 1)
+ {
+ id++;
+ icl++;
+ if (clno >= 4608)
+ {
+ AliWarning("RefClust: Too many clusters! more than 4608");
+ return;
}
- }else{
- if(lev2[0] == 0){cells[lev2[1]]=cells[lev2[1]]+1.;}
- else{
- sum=0.;
- for(k=1; k<=lev2[0]; k++){
- sum=sum+zc[lev2[k]];
- }
- for(k=1; k<=lev2[0]; k++){
- cells[lev2[k]]=cells[lev2[k]]+zc[lev2[k]]/sum;
- }
+ clno++;
+ i1 = fInfcl[1][id];
+ i2 = fInfcl[2][id];
+ i12 = i1 + i2*kNDIMX;
+
+ x1 = fCoord[0][i1][i2];
+ y1 = fCoord[1][i1][i2];
+ z1 = edepcell[i12];
+
+ clxy[0] = i1*10000 + i2;
+
+ id++;
+ i1 = fInfcl[1][id];
+ i2 = fInfcl[2][id];
+
+ i22 = i1 + i2*kNDIMX;
+ x2 = fCoord[0][i1][i2];
+ y2 = fCoord[1][i1][i2];
+ z2 = edepcell[i22];
+
+ clxy[1] = i1*10000 + i2;
+
+
+ for(Int_t icltr = 2; icltr < kNmaxCell; icltr++)
+ {
+ clxy[icltr] = -1;
}
- }
+
+ clusdata[0] = (x1*z1+x2*z2)/(z1+z2);
+ clusdata[1] = (y1*z1+y2*z2)/(z1+z2);
+ clusdata[2] = z1+z2;
+ clusdata[3] = 2.;
+ clusdata[4] = 0.5;
+ clusdata[5] = 0.0;
+ pmdcludata = new AliPMDcludata(clusdata,clxy);
+ fPMDclucont->Add(pmdcludata);
}
- }
-
- // zero rest of the cell array
- //asso
- for(k=0; k<=ig; k++)
+ else
{
- for(Int_t icltr=cellCount[k];icltr<14;icltr++)
+
+ Int_t *iord, *tc, *t;
+ Double_t *x, *y, *z, *xc, *yc, *zc;
+
+ iord = new Int_t [ncl[i]+1];
+ tc = new Int_t [ncl[i]+1];
+ t = new Int_t [ncl[i]+1];
+
+ x = new Double_t [ncl[i]+1];
+ y = new Double_t [ncl[i]+1];
+ z = new Double_t [ncl[i]+1];
+ xc = new Double_t [ncl[i]+1];
+ yc = new Double_t [ncl[i]+1];
+ zc = new Double_t [ncl[i]+1];
+
+ for( k = 0; k < ncl[i]+1; k++)
{
- fClTr[icltr][fClno]=-1;
+ iord[k] = -1;
+ t[k] = -1;
+ tc[k] = -1;
+ x[k] = -1;
+ y[k] = -1;
+ z[k] = -1;
+ xc[k] = -1;
+ yc[k] = -1;
+ zc[k] = -1;
}
- }
- //
+ id++;
+ // super-cluster of more than two cells - broken up into smaller
+ // clusters gaussian centers computed. (peaks separated by > 1 cell)
+ // Begin from cell having largest energy deposited This is first
+ // cluster center
+ i1 = fInfcl[1][id];
+ i2 = fInfcl[2][id];
+ i12 = i1 + i2*kNDIMX;
+
+ x[0] = fCoord[0][i1][i2];
+ y[0] = fCoord[1][i1][i2];
+ z[0] = edepcell[i12];
+ t[0] = i1*10000 + i2;
+
+
+ iord[0] = 0;
+ for(j = 1; j <= ncl[i]; j++)
+ {
+ id++;
+ i1 = fInfcl[1][id];
+ i2 = fInfcl[2][id];
+ i12 = i1 + i2*kNDIMX;
+ iord[j] = j;
+ x[j] = fCoord[0][i1][i2];
+ y[j] = fCoord[1][i1][i2];
+ z[j] = edepcell[i12];
+ t[j] = i1*10000 + i2;
+ }
+
+ // arranging cells within supercluster in decreasing order
+
+ for(j = 1;j <= ncl[i]; j++)
+ {
+ itest = 0;
+ ihld = iord[j];
+ for(i1 = 0; i1 < j; i1++)
+ {
+ if(itest == 0 && z[iord[i1]] < z[ihld])
+ {
+ itest = 1;
+ for(i2 = j-1; i2 >= i1; i2--)
+ {
+ iord[i2+1] = iord[i2];
+ }
+ iord[i1] = ihld;
+ }
+ }
+ }
+ /* MODIFICATION PART STARTS (Tapan July 2008)
+ iord[0] is the cell with highest ADC in the crude-cluster
+ ig is the number of local maxima in the crude-cluster
+ For the higest peak we make ig=0 which means first local maximum.
+ Next we go down in terms of the ADC sequence and find out if any
+ more of the cells form local maxima. The definition of local
+ maxima is that all its neighbours are of less ADC compared to it.
+ */
+ ig = 0;
+ xc[ig] = x[iord[0]];
+ yc[ig] = y[iord[0]];
+ zc[ig] = z[iord[0]];
+ tc[ig] = t[iord[0]];
+ Int_t ivalid = 0, icount = 0;
+
+ for(j=1;j<=ncl[i];j++)
+ {
+ x1 = x[iord[j]];
+ y1 = y[iord[j]];
+ z1 = z[iord[j]];
+ t1 = t[iord[j]];
+ rr=Distance(x1,y1,xc[ig],yc[ig]);
+
+ // Check the cells which are outside the neighbours (rr>1.2)
+ if(rr>1.2 )
+ {
+ ivalid=0;
+ icount=0;
+ for(Int_t j1=1;j1<j;j1++)
+ {
+ icount++;
+ Float_t rr1=Distance(x1,y1,x[iord[j1]],y[iord[j1]]);
+ if(rr1>1.2) ivalid++;
+ }
+ if(ivalid == icount && z1>0.5*zc[ig])
+ {
+ ig++;
+ xc[ig]=x1;
+ yc[ig]=y1;
+ zc[ig]=z1;
+ tc[ig]=t1;
+ }
+ }
+ }
+
+ icl=icl+ig+1;
+
+ // We use simple Gaussian weighting. (Tapan Jan 2005)
+ // compute the number of cells belonging to each cluster.
+ // cell can be shared between several clusters
+ // in the ratio of cluster energy deposition
+ // To calculate:
+ // (1) number of cells belonging to a cluster (ig) and
+ // (2) total ADC of the cluster (ig)
+ // (3) x and y positions of the cluster
+
+
+ Int_t *cellCount;
+ Int_t **cellXY;
+
+ Int_t *status;
+ Double_t *totaladc, *totaladc2, *ncell,*weight;
+ Double_t *xclust, *yclust, *sigxclust, *sigyclust;
+ Double_t *ax, *ay, *ax2, *ay2;
+
+
+ status = new Int_t [ncl[i]+1];
+ cellXY = new Int_t *[ncl[i]+1];
+
+ cellCount = new Int_t [ig+1];
+ totaladc = new Double_t [ig+1];
+ totaladc2 = new Double_t [ig+1];
+ ncell = new Double_t [ig+1];
+ weight = new Double_t [ig+1];
+ xclust = new Double_t [ig+1];
+ yclust = new Double_t [ig+1];
+ sigxclust = new Double_t [ig+1];
+ sigyclust = new Double_t [ig+1];
+ ax = new Double_t [ig+1];
+ ay = new Double_t [ig+1];
+ ax2 = new Double_t [ig+1];
+ ay2 = new Double_t [ig+1];
+
+ for(j = 0; j < ncl[i]+1; j++)
+ {
+ status[j] = 0;
+ cellXY[j] = new Int_t[ig+1];
+ }
+ //initialization
+ for(Int_t kcl = 0; kcl < ig+1; kcl++)
+ {
+ cellCount[kcl] = 0;
+ totaladc[kcl] = 0.;
+ totaladc2[kcl] = 0.;
+ ncell[kcl] = 0.;
+ weight[kcl] = 0.;
+ xclust[kcl] = 0.;
+ yclust[kcl] = 0.;
+ sigxclust[kcl] = 0.;
+ sigyclust[kcl] = 0.;
+ ax[kcl] = 0.;
+ ay[kcl] = 0.;
+ ax2[kcl] = 0.;
+ ay2[kcl] = 0.;
+ for(j = 0; j < ncl[i]+1; j++)
+ {
+ cellXY[j][kcl] = 0;
+ }
+ }
+ Double_t sumweight, gweight;
+
+ for(j = 0;j <= ncl[i]; j++)
+ {
+ x1 = x[iord[j]];
+ y1 = y[iord[j]];
+ z1 = z[iord[j]];
+ t1 = t[iord[j]];
+
+ for(Int_t kcl=0; kcl<=ig; kcl++)
+ {
+ x2 = xc[kcl];
+ y2 = yc[kcl];
+ rr = Distance(x1,y1,x2,y2);
+ t2 = tc[kcl];
+
+ if(rr==0)
+ {
+ ncell[kcl] = 1.;
+ totaladc[kcl] = z1;
+ totaladc2[kcl] = pow(z1,2);
+ ax[kcl] = x1 * z1;
+ ay[kcl] = y1 * z1;
+ ax2[kcl]= 0.;
+ ay2[kcl]= 0.;
+ status[j] = 1;
+ }
+ }
+ }
+
+ for(j = 0; j <= ncl[i]; j++)
+ {
+ Int_t maxweight = 0;
+ Double_t max = 0.;
+
+ if(status[j] == 0)
+ {
+ x1 = x[iord[j]];
+ y1 = y[iord[j]];
+ z1 = z[iord[j]];
+ t1 = t[iord[j]];
+ sumweight = 0.;
+
+ for(Int_t kcl = 0; kcl <= ig; kcl++)
+ {
+ x2 = xc[kcl];
+ y2 = yc[kcl];
+ rr = Distance(x1,y1,x2,y2);
+ gweight = exp(-(rr*rr)/(2*(1.2*1.2)));
+ weight[kcl] = zc[kcl] * gweight;
+ sumweight = sumweight + weight[kcl];
+
+ if(weight[kcl] > max)
+ {
+ max = weight[kcl];
+ maxweight = kcl;
+ }
+ }
+
+ cellXY[cellCount[maxweight]][maxweight] = iord[j];
+
+ cellCount[maxweight]++;
+
+ for(Int_t kcl = 0; kcl <= ig; kcl++)
+ {
+ x2 = xc[kcl];
+ y2 = yc[kcl];
+ rr = Distance(x1,y1,x2,y2);
+ t2 = tc[kcl];
+ // For calculating weighted mean:
+ // Weighted_mean = (\sum w_i x_i) / (\sum w_i)
+
+ if(sumweight>0.)
+ {
+ totaladc[kcl] = totaladc[kcl] + z1*(weight[kcl]/sumweight);
+ ncell[kcl] = ncell[kcl] + (weight[kcl]/sumweight);
+ ax[kcl] = ax[kcl] + (x1 * z1 *weight[kcl]/sumweight);
+ ay[kcl] = ay[kcl] + (y1 * z1 *weight[kcl]/sumweight);
+
+ // For calculating weighted sigma:
+ // Wieghted_sigma= ((\sum w_i)/((\sum w_i)^2 - \sum (w_i^2))) \sum w_i (x_i - \Hat\mu)^2
+ // I assume here x1,y1 are cluster centers, otherwise life becomes too difficult
+ totaladc2[kcl] = totaladc2[kcl] + pow((z1*(weight[kcl]/sumweight)),2);
+ ax2[kcl] = ax2[kcl] + (z1 *weight[kcl]/sumweight) * pow((x1-x2),2);
+ ay2[kcl] = ay2[kcl] + (z1 *weight[kcl]/sumweight) * pow((y1-y2),2);
+ }
+ }
+ }
+ }
+
+ for(Int_t kcl = 0; kcl <= ig; kcl++)
+ {
- for(j=0; j<=ig; j++){
- if (fClno >= 5000) {
- AliWarning("RefClust: Too many clusters! more than 5000");
- return;
- }
- fClno = fClno + 1;
- fClusters[0][fClno] = xc[j];
- fClusters[1][fClno] = yc[j];
- fClusters[2][fClno] = zc[j];
- fClusters[4][fClno] = rc[j];
- if(ig == 0){
- fClusters[3][fClno] = ncl[i];
- }else{
- fClusters[3][fClno] = cells[j];
+ if(totaladc[kcl]>0){
+ if(totaladc[kcl]>0.)xclust[kcl] = (ax[kcl])/ totaladc[kcl];
+ if(totaladc[kcl]>0.)yclust[kcl] = (ay[kcl])/ totaladc[kcl];
+
+ if(totaladc[kcl]>0.)sigxclust[kcl] = (totaladc[kcl]/(pow(totaladc[kcl],2)-totaladc2[kcl]))*ax2[kcl];
+ if(totaladc[kcl]>0.)sigyclust[kcl] = (totaladc[kcl]/(pow(totaladc[kcl],2)-totaladc2[kcl]))*ay2[kcl];
+ }
+
+ for(j = 0; j < cellCount[kcl]; j++) clno++;
+
+ if (clno >= 4608)
+ {
+ AliWarning("RefClust: Too many clusters! more than 4608");
+ return;
+ }
+ clusdata[0] = xclust[kcl];
+ clusdata[1] = yclust[kcl];
+ clusdata[2] = totaladc[kcl];
+ clusdata[3] = ncell[kcl];
+ if(sigxclust[kcl] > sigyclust[kcl])
+ {
+ clusdata[4] = pow(sigxclust[kcl],0.5);
+ clusdata[5] = pow(sigyclust[kcl],0.5);
+ }
+ else
+ {
+ clusdata[4] = pow(sigyclust[kcl],0.5);
+ clusdata[5] = pow(sigxclust[kcl],0.5);
+ }
+
+ clxy[0] = tc[kcl];
+
+ Int_t Ncell=1;
+ for (Int_t ii = 0; ii < cellCount[kcl]; ii++)
+ {
+ Float_t xx = x[cellXY[ii][kcl]];
+ Float_t yy = y[cellXY[ii][kcl]];
+
+ rr=Distance(xclust[kcl],yclust[kcl],xx,yy);
+ // Natasha
+ // We store only the nearest and nest-nearest neighbours
+ if(rr<2.2)
+ {
+ clxy[Ncell] = t[cellXY[ii][kcl]];
+ Ncell++;
+ }
+ }
+
+ pmdcludata = new AliPMDcludata(clusdata,clxy);
+ fPMDclucont->Add(pmdcludata);
+ }
+
+ delete [] iord;
+ delete [] tc;
+ delete [] t;
+ delete [] x;
+ delete [] y;
+ delete [] z;
+ delete [] xc;
+ delete [] yc;
+ delete [] zc;
+
+ delete [] cellCount;
+ for(Int_t jj = 0; jj < ncl[i]+1; jj++) delete [] cellXY[jj];
+
+ delete [] status;
+ delete [] totaladc;
+ delete [] totaladc2;
+ delete [] ncell;
+ delete [] xclust;
+ delete [] yclust;
+ delete [] sigxclust;
+ delete [] sigyclust;
+ delete [] ax;
+ delete [] ay;
+ delete [] ax2;
+ delete [] ay2;
+ delete [] weight;
}
- }
}
- }
+ delete [] ncl;
+ delete [] clxy;
}
// ------------------------------------------------------------------------ //
-void AliPMDClusteringV1::GaussFit(Int_t ncell, Int_t nclust, Double_t &x, Double_t &y ,Double_t &z, Double_t &xc, Double_t &yc, Double_t &zc, Double_t &rc)
+Double_t AliPMDClusteringV1::Distance(Double_t x1, Double_t y1,
+ Double_t x2, Double_t y2)
{
- // Does gaussian fitting
- //
- int i, j, i1, i2, novar, idd, jj;
- double xx[4500], yy[4500], zz[4500], xxc[4500], yyc[4500];
- double a[4500], b[4500], c[4500], d[4500], ha[4500], hb[4500];
- double hc[4500], hd[4500], zzc[4500], rrc[4500];
- int neib[4500][50];
- double sum, dx, dy, str, str1, aint, sum1, rr, dum;
- double x1, x2, y1, y2;
- str = 0.;
- str1 = 0.;
- rr = 0.3;
- novar = 0;
- j = 0; // Just put not to see the compiler warning, BKN
-
- for(i=0; i<=ncell; i++)
- {
- xx[i] = *(&x+i);
- yy[i] = *(&y+i);
- zz[i] = *(&z+i);
- str = str + zz[i];
- }
- for(i=0; i<=nclust; i++)
- {
- xxc[i] = *(&xc+i);
- yyc[i] = *(&yc+i);
- zzc[i] = *(&zc+i);
- str1 = str1 + zzc[i];
- rrc[i] = 0.5;
- }
- for(i=0; i<=nclust; i++)
- {
- zzc[i] = str/str1*zzc[i];
- ha[i] = xxc[i];
- hb[i] = yyc[i];
- hc[i] = zzc[i];
- hd[i] = rrc[i];
- x1 = xxc[i];
- y1 = yyc[i];
- }
- for(i=0; i<=ncell; i++){
- idd=0;
- x1=xx[i];
- y1=yy[i];
- for(j=0; j<=nclust; j++){
- x2=xxc[j];
- y2=yyc[j];
- if(Distance(x1,y1,x2,y2) <= 3.){ idd=idd+1; neib[i][idd]=j; }
- }
- neib[i][0]=idd;
- }
- sum=0.;
- for(i1=0; i1<=ncell; i1++){
- aint=0.;
- idd=neib[i1][0];
- for(i2=1; i2<=idd; i2++){
- jj=neib[i1][i2];
- dx=xx[i1]-xxc[jj];
- dy=yy[i1]-yyc[jj];
- dum=rrc[j]*rrc[jj]+rr*rr;
- aint=aint+exp(-(dx*dx+dy*dy)/dum)*zzc[idd]*rr*rr/dum;
- }
- sum=sum+(aint-zz[i1])*(aint-zz[i1])/str;
- }
-// jmax=nclust*1000;
-// if(nclust > 20)jmax=20000;
-// for(j=0; j<jmax; j++){
- str1=0.;
- for(i=0; i<=nclust; i++){
- a[i]=xxc[i]+0.6*(Ranmar()-0.5);
- b[i]=yyc[i]+0.6*(Ranmar()-0.5);
- c[i]=zzc[i]*(1.+(Ranmar()-0.5)*0.2);
- str1=str1+zzc[i];
- d[i]=rrc[i]*(1.+(Ranmar()-0.5)*0.1);
- if(d[i] < 0.25)d[i]=0.25;
- }
- for(i=0; i<=nclust; i++){ c[i]=c[i]*str/str1; }
- sum1=0.;
- for(i1=0; i1<=ncell; i1++){
- aint=0.;
- idd=neib[i1][0];
- for(i2=1; i2<=idd; i2++){
- jj=neib[i1][i2];
- dx=xx[i1]-a[jj];
- dy=yy[i1]-b[jj];
- dum=d[jj]*d[jj]+rr*rr;
- aint=aint+exp(-(dx*dx+dy*dy)/dum)*c[i2]*rr*rr/dum;
- }
- sum1=sum1+(aint-zz[i1])*(aint-zz[i1])/str;
- }
-
- if(sum1 < sum){
- for(i2=0; i2<=nclust; i2++){
- xxc[i2]=a[i2];
- yyc[i2]=b[i2];
- zzc[i2]=c[i2];
- rrc[i2]=d[i2];
- sum=sum1;
- }
- }
-// }
- for(j=0; j<=nclust; j++){
- *(&xc+j)=xxc[j];
- *(&yc+j)=yyc[j];
- *(&zc+j)=zzc[j];
- *(&rc+j)=rrc[j];
- }
-}
-// ------------------------------------------------------------------------ //
-double AliPMDClusteringV1::Distance(double x1, double y1, double x2, double y2)
-{
- return sqrt((x1-x2)*(x1-x2) + (y1-y2)*(y1-y2));
-}
-// ------------------------------------------------------------------------ //
-double AliPMDClusteringV1::Ranmar() const
-{
- // Universal random number generator proposed by Marsaglia and Zaman
- // in report FSU-SCRI-87-50
-
- // clock_t start;
- int ii, jj;
- static int i=96, j=32, itest=0, i1, i2, i3, i4, i5;
- static double u[97], c, cd, cm, s, t;
- static double uni;
- int count1,count2,idum;
- /* $$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$ */
- if (itest == 0) {
- //*******************************************************
- // following three lines if the seed to be provided by computer
- // start = time(NULL);
- // ii=start;
- // jj=start;
- //*******************************************************
- //following two lines for fixed seed ( during testing only. Else
- //use preceeing three lines
- ii=8263;
- jj=5726;
- if(ii > 31328 ) ii = ii - ( ii / 31328 ) * 31328;
- if(jj > 30081 ) jj = jj - ( jj / 30081 ) * 30081;
- itest=itest+1;
- if((( ii > 0 ) && ( ii <= 31328 )) && (( jj > 0 ) &&
- ( jj <= 30081 ))){
- i1=ii/177+2; i2=ii-(i1-2)*177+2; i3=jj/169+1; i4=jj-(i3-1)*169;
- i4 = jj - (i3-1)*169;
- count1=0;
- while ( count1 < 97 ){
- s=0.;
- t=0.5;
- count2=0;
- while( count2 < 24 ){
- idum=i1*i2/179;
- idum=( i1*i2 - (i1*i2/179)*179 ) * i3;
- i5=idum-(idum/179)*179;
- i1=i2; i2=i3; i3=i5; idum=53*i4+1; i4=idum-(idum/169)*169;
- if( i4*i5-((i4*i5)/64)*64 >= 32 ) s=s+t;
- t=0.5*t;
- count2=count2+1;
- }
- u[count1] = s;
- count1 = count1 +1;
- }
- c = 362436./16777216.; cd = 7654321./16777216.;
- cm = 16777213./16777216.;
- }
- else{
- AliWarning("Wrong initialization");
- }
- }
- else{
- uni = u[i] - u[j];
- if( uni < 0.) uni = uni + 1;
- u[i] = uni;
- i = i -1;
- if( i < 0 ) i = 96;
- j = j - 1;
- if ( j < 0 ) j = 96;
- c = c - cd;
- if( c < 0. ) c = c+cm;
- uni = uni-c ;
- if( uni < 0. )uni = uni+1.;
- }
- return uni;
+ return TMath::Sqrt((x1-x2)*(x1-x2) + (y1-y2)*(y1-y2));
}
// ------------------------------------------------------------------------ //
void AliPMDClusteringV1::SetEdepCut(Float_t decut)
git://git.uio.no / u / mrichter / AliRoot.git / blobdiff