1 /**************************************************************************
2 * Copyright(c) 1998-1999, ALICE Experiment at CERN, All rights reserved. *
4 * Author: The ALICE Off-line Project. *
5 * Contributors are mentioned in the code where appropriate. *
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 **************************************************************************/
18 ///////////////////////////////////////////////////////////////////////////
22 //////////////////////////////////////////////////////////////////////////
25 #include "AliITSClusterFinderSDD.h"
26 #include "AliITSMapA1.h"
27 #include "AliITSRawClusterSDD.h"
28 #include "AliITSRecPoint.h"
29 #include "AliITSdigitSDD.h"
30 #include "AliITSDetTypeRec.h"
31 #include "AliITSCalibrationSDD.h"
32 #include "AliITSsegmentationSDD.h"
33 #include "AliITSgeom.h"
36 ClassImp(AliITSClusterFinderSDD)
38 //______________________________________________________________________
39 AliITSClusterFinderSDD::AliITSClusterFinderSDD():
40 AliITSClusterFinder(),
50 // default constructor
52 //______________________________________________________________________
53 AliITSClusterFinderSDD::AliITSClusterFinderSDD(AliITSDetTypeRec* dettyp,
56 AliITSClusterFinder(dettyp),
66 // standard constructor
70 SetCutAmplitude(fDetTypeRec->GetITSgeom()->GetStartSDD());
73 SetMinPeak((Int_t)((AliITSCalibrationSDD*)GetResp(fDetTypeRec->GetITSgeom()->GetStartSDD()))->GetNoiseAfterElectronics(0)*5);
78 SetMap(new AliITSMapA1(GetSeg(),Digits(),fCutAmplitude));
80 //______________________________________________________________________
81 void AliITSClusterFinderSDD::SetCutAmplitude(Int_t mod,Double_t nsigma){
82 // set the signal threshold for cluster finder
83 Double_t baseline,noiseAfterEl;
85 AliITSresponseSDD* res = (AliITSresponseSDD*)((AliITSCalibrationSDD*)GetResp(mod))->GetResponse();
86 const char *option=res->ZeroSuppOption();
87 Int_t nanodes = GetResp(mod)->Wings()*GetResp(mod)->Channels()*GetResp(mod)->Chips();
88 fCutAmplitude.Set(nanodes);
89 for(Int_t ian=0;ian<nanodes;ian++){
90 noiseAfterEl = ((AliITSCalibrationSDD*)GetResp(mod))->GetNoiseAfterElectronics(ian);
91 if((strstr(option,"1D")) || (strstr(option,"2D"))){
92 fCutAmplitude[ian] = (Int_t)(nsigma*noiseAfterEl);
95 baseline=GetResp(mod)->GetBaseline(ian);
96 fCutAmplitude[ian] = (Int_t)((baseline + nsigma*noiseAfterEl));
100 //______________________________________________________________________
101 void AliITSClusterFinderSDD::Find1DClusters(){
104 // retrieve the parameters
105 Int_t fNofMaps = GetSeg()->Npz();
106 Int_t fMaxNofSamples = GetSeg()->Npx();
107 Int_t fNofAnodes = fNofMaps/2;
109 Double_t fTimeStep = GetSeg()->Dpx(dummy);
110 Double_t fSddLength = GetSeg()->Dx();
111 AliITSCalibrationSDD* cal = (AliITSCalibrationSDD*)GetResp(fModule);
112 AliITSresponseSDD* res = (AliITSresponseSDD*)((AliITSCalibrationSDD*)GetResp(fModule))->GetResponse();
113 const char *option=res->ZeroSuppOption();
117 Map()->SetThresholdArr(fCutAmplitude);
120 Int_t nofFoundClusters = 0;
122 Double_t **dfadc = new Double_t*[fNofAnodes];
123 for(i=0;i<fNofAnodes;i++) dfadc[i] = new Double_t[fMaxNofSamples];
129 for(k=0;k<fNofAnodes;k++) {
130 idx = j*fNofAnodes+k;
131 // signal (fadc) & derivative (dfadc)
133 for(l=0; l<fMaxNofSamples; l++) {
134 fadc2=(Double_t)Map()->GetSignal(idx,l);
135 if(l>0) fadc1=(Double_t)Map()->GetSignal(idx,l-1);
136 if(l>0) dfadc[k][l-1] = fadc2-fadc1;
140 for(k=0;k<fNofAnodes;k++) {
141 AliDebug(5,Form("Anode: %d, Wing: %d",k+1,j+1));
142 idx = j*fNofAnodes+k;
146 while(it <= fMaxNofSamples-3) {
150 Double_t fadcmax = 0.;
151 Double_t dfadcmax = 0.;
158 if(id>=fMaxNofSamples) break;
159 fadc=(float)Map()->GetSignal(idx,id);
160 if(fadc > fadcmax) { fadcmax = fadc; imax = id;}
161 if(fadc > (float)fCutAmplitude[idx])lthrt++;
162 if(dfadc[k][id] > dfadcmax) {
163 dfadcmax = dfadc[k][id];
168 if(Map()->TestHit(idx,imax) == kEmpty) {it++; continue;}
171 if(tstart < 0) tstart = 0;
173 if(lthrt >= lthrmint && lthra >= lthrmina) ilcl = 1;
176 Int_t tstop = tstart;
177 Double_t dfadcmin = 10000.;
179 for(ij=0; ij<20; ij++) {
180 if(tstart+ij > 255) { tstop = 255; break; }
181 fadc=(float)Map()->GetSignal(idx,tstart+ij);
182 if((dfadc[k][tstart+ij] < dfadcmin) &&
183 (fadc > fCutAmplitude[idx])) {
185 if(tstop > 255) tstop = 255;
186 dfadcmin = dfadc[k][it+ij];
190 Double_t clusterCharge = 0.;
191 Double_t clusterAnode = k+0.5;
192 Double_t clusterTime = 0.;
193 Int_t clusterMult = 0;
194 Double_t clusterPeakAmplitude = 0.;
195 Int_t its,peakpos = -1;
197 for(its=tstart; its<=tstop; its++) {
198 fadc=(float)Map()->GetSignal(idx,its);
199 if(!((strstr(option,"1D")) || (strstr(option,"2D")))){
200 Double_t baseline=GetResp(fModule)->GetBaseline(idx);
201 if(fadc>baseline) fadc -= baseline;
204 clusterCharge += fadc;
205 // as a matter of fact we should take the peak
207 // to get the list of tracks !!!
208 if(fadc > clusterPeakAmplitude) {
209 clusterPeakAmplitude = fadc;
210 //peakpos=Map()->GetHitIndex(idx,its);
211 Int_t shift = (int)(fTimeCorr/fTimeStep);
212 if(its>shift && its<(fMaxNofSamples-shift))
213 peakpos = Map()->GetHitIndex(idx,its+shift);
214 else peakpos = Map()->GetHitIndex(idx,its);
215 if(peakpos<0) peakpos =Map()->GetHitIndex(idx,its);
217 clusterTime += fadc*its;
218 if(fadc > 0) clusterMult++;
220 clusterTime /= (clusterCharge/fTimeStep); // ns
221 if(clusterTime>fTimeCorr) clusterTime -=fTimeCorr;
225 Float_t theAnode=clusterAnode+j*fNofAnodes;
226 Double_t clusteranodePath = GetSeg()->GetLocalZFromAnode(theAnode);
227 Double_t clusterDriftPath = (Double_t)cal->GetDriftPath(clusterTime,clusteranodePath);
228 clusterDriftPath = fSddLength-clusterDriftPath;
229 if(clusterCharge <= 0.) break;
230 AliITSRawClusterSDD clust(j+1,//i
231 clusterAnode,clusterTime,//ff
233 clusterPeakAmplitude, //f
235 0.,0.,clusterDriftPath,//fff
236 clusteranodePath, //f
239 fDetTypeRec->AddCluster(1,&clust);
247 for(i=0;i<fNofAnodes;i++) delete[] dfadc[i];
252 //______________________________________________________________________
253 void AliITSClusterFinderSDD::Find1DClustersE(){
255 // retrieve the parameters
256 Int_t fNofMaps = GetSeg()->Npz();
257 Int_t fMaxNofSamples = GetSeg()->Npx();
258 Int_t fNofAnodes = fNofMaps/2;
260 Double_t fTimeStep = GetSeg()->Dpx( dummy );
261 Double_t fSddLength = GetSeg()->Dx();
262 AliITSCalibrationSDD* cal = (AliITSCalibrationSDD*)GetResp(fModule);
264 Map()->SetThresholdArr( fCutAmplitude );
267 AliITSresponseSDD* res = (AliITSresponseSDD*)cal->GetResponse();
268 const char *option=res->ZeroSuppOption();
271 // cout << "Search cluster... "<< endl;
272 for( Int_t j=0; j<2; j++ ){
273 for( Int_t k=0; k<fNofAnodes; k++ ){
274 Int_t idx = j*fNofAnodes+k;
280 Double_t charge = 0.;
282 Double_t anode = k+0.5;
284 for( Int_t l=0; l<fMaxNofSamples; l++ ){
285 Double_t fadc = (Double_t)Map()->GetSignal( idx, l );
287 if( on == kFALSE && l<fMaxNofSamples-4){
288 // star RawCluster (reset var.)
289 Double_t fadc1 = (Double_t)Map()->GetSignal( idx, l+1 );
290 if( fadc1 < fadc ) continue;
300 if(!((strstr(option,"1D")) || (strstr(option,"2D")))){
301 Double_t baseline=GetResp(fModule)->GetBaseline(idx);
302 if( fadc > baseline ) fadc -= baseline;
310 Int_t shift = (Int_t)(fTimeCorr/fTimeStep + 0.5);
311 if( l > shift && l < (fMaxNofSamples-shift) )
312 peakpos = Map()->GetHitIndex( idx, l+shift );
314 peakpos = Map()->GetHitIndex( idx, l );
315 if( peakpos < 0) peakpos = Map()->GetHitIndex(idx,l);
320 // min # of timesteps for a RawCluster
321 // Found a RawCluster...
323 time /= (charge/fTimeStep); // ns
324 // time = lmax*fTimeStep; // ns
325 if( time > fTimeCorr ) time -= fTimeCorr; // ns
326 Float_t theAnode=anode+j*fNofAnodes;
327 Double_t anodePath =GetSeg()->GetLocalZFromAnode(theAnode);
328 Double_t driftPath = (Double_t)cal->GetDriftPath(time,anode);
329 driftPath = fSddLength-driftPath;
330 AliITSRawClusterSDD clust(j+1,anode,time,charge,
334 start, stop, 1, k, k );
335 fDetTypeRec->AddCluster( 1, &clust );
336 if(AliDebugLevel()>=5) clust.PrintInfo();
340 } // end if on==kTRUE
345 AliDebug(3,Form("# Rawclusters %d",nClu));
348 //_______________________________________________________________________
349 Int_t AliITSClusterFinderSDD::SearchPeak(Double_t *spect,Int_t xdim,Int_t zdim,
350 Int_t *peakX, Int_t *peakZ,
351 Double_t *peakAmp, Double_t minpeak ){
352 // search peaks on a 2D cluster
353 Int_t npeak = 0; // # peaks
356 for( Int_t z=1; z<zdim-1; z++ ){
357 for( Int_t x=1; x<xdim-2; x++ ){
358 Double_t sxz = spect[x*zdim+z];
359 Double_t sxz1 = spect[(x+1)*zdim+z];
360 Double_t sxz2 = spect[(x-1)*zdim+z];
361 // search a local max. in s[x,z]
362 if( sxz < minpeak || sxz1 <= 0 || sxz2 <= 0 ) continue;
363 if( sxz >= spect[(x+1)*zdim+z ] && sxz >= spect[(x-1)*zdim+z ] &&
364 sxz >= spect[x*zdim +z+1] && sxz >= spect[x*zdim +z-1] &&
365 sxz >= spect[(x+1)*zdim+z+1] && sxz >= spect[(x+1)*zdim+z-1] &&
366 sxz >= spect[(x-1)*zdim+z+1] && sxz >= spect[(x-1)*zdim+z-1] ){
370 peakAmp[npeak] = sxz;
375 // search groups of peaks with same amplitude.
376 Int_t *flag = new Int_t[npeak];
377 for( i=0; i<npeak; i++ ) flag[i] = 0;
378 for( i=0; i<npeak; i++ ){
379 for( j=0; j<npeak; j++ ){
381 if( flag[j] > 0 ) continue;
382 if( peakAmp[i] == peakAmp[j] &&
383 TMath::Abs(peakX[i]-peakX[j])<=1 &&
384 TMath::Abs(peakZ[i]-peakZ[j])<=1 ){
385 if( flag[i] == 0) flag[i] = i+1;
390 // make average of peak groups
391 for( i=0; i<npeak; i++ ){
393 if( flag[i] <= 0 ) continue;
394 for( j=0; j<npeak; j++ ){
396 if( flag[j] != flag[i] ) continue;
397 peakX[i] += peakX[j];
398 peakZ[i] += peakZ[j];
401 for( Int_t k=j; k<npeak; k++ ){
402 peakX[k] = peakX[k+1];
403 peakZ[k] = peakZ[k+1];
404 peakAmp[k] = peakAmp[k+1];
417 //______________________________________________________________________
418 void AliITSClusterFinderSDD::PeakFunc( Int_t xdim, Int_t zdim, Double_t *par,
419 Double_t *spe, Double_t *integral){
420 // function used to fit the clusters
421 // par -> parameters..
422 // par[0] number of peaks.
423 // for each peak i=1, ..., par[0]
429 Int_t electronics = GetResp(fModule)->GetElectronics(); // 1 = PASCAL, 2 = OLA
430 const Int_t knParam = 5;
431 Int_t npeak = (Int_t)par[0];
433 memset( spe, 0, sizeof( Double_t )*zdim*xdim );
436 for( Int_t i=0; i<npeak; i++ ){
437 if( integral != 0 ) integral[i] = 0.;
438 Double_t sigmaA2 = par[k+4]*par[k+4]*2.;
439 Double_t t2 = par[k+3]; // PASCAL
440 if( electronics == 2 ) { t2 *= t2; t2 *= 2; } // OLA
441 for( Int_t z=0; z<zdim; z++ ){
442 for( Int_t x=0; x<xdim; x++ ){
443 Double_t z2 = (z-par[k+2])*(z-par[k+2])/sigmaA2;
445 Double_t signal = 0.;
446 if( electronics == 1 ){ // PASCAL
447 x2 = (x-par[k+1]+t2)/t2;
448 signal = (x2>0.) ? par[k]*x2*exp(-x2+1.-z2) :0.0; // RCCR2
449 // signal =(x2>0.) ? par[k]*x2*x2*exp(-2*x2+2.-z2 ):0.0;//RCCR
450 }else if( electronics == 2 ) { // OLA
451 x2 = (x-par[k+1])*(x-par[k+1])/t2;
452 signal = par[k] * exp( -x2 - z2 );
454 Warning("PeakFunc","Wrong SDD Electronics = %d",
457 } // end if electronicx
458 spe[x*zdim+z] += signal;
459 if( integral != 0 ) integral[i] += signal;
466 //__________________________________________________________________________
467 Double_t AliITSClusterFinderSDD::ChiSqr( Int_t xdim, Int_t zdim, Double_t *spe,
468 Double_t *speFit ) const{
469 // EVALUATES UNNORMALIZED CHI-SQUARED
471 for( Int_t z=0; z<zdim; z++ ){
472 for( Int_t x=1; x<xdim-1; x++ ){
473 Int_t index = x*zdim+z;
474 Double_t tmp = spe[index] - speFit[index];
480 //_______________________________________________________________________
481 void AliITSClusterFinderSDD::Minim( Int_t xdim, Int_t zdim, Double_t *param,
482 Double_t *prm0,Double_t *steprm,
483 Double_t *chisqr,Double_t *spe,
486 Int_t k, nnn, mmm, i;
487 Double_t p1, delta, d1, chisq1, p2, chisq2, t, p3, chisq3, a, b, p0, chisqt;
488 const Int_t knParam = 5;
489 Int_t npeak = (Int_t)param[0];
490 for( k=1; k<(npeak*knParam+1); k++ ) prm0[k] = param[k];
491 for( k=1; k<(npeak*knParam+1); k++ ){
495 // ENSURE THAT STEP SIZE IS SENSIBLY LARGER THAN MACHINE ROUND OFF
496 if( TMath::Abs( p1 ) > 1.0E-6 )
497 if ( TMath::Abs( delta/p1 ) < 1.0E-4 ) delta = p1/1000;
498 else delta = (Double_t)1.0E-4;
499 // EVALUATE CHI-SQUARED AT FIRST TWO SEARCH POINTS
500 PeakFunc( xdim, zdim, param, speFit );
501 chisq1 = ChiSqr( xdim, zdim, spe, speFit );
504 PeakFunc( xdim, zdim, param, speFit );
505 chisq2 = ChiSqr( xdim, zdim, spe, speFit );
506 if( chisq1 < chisq2 ){
507 // REVERSE DIRECTION OF SEARCH IF CHI-SQUARED IS INCREASING
517 do { // INCREMENT param(K) UNTIL CHI-SQUARED STARTS TO INCREASE
520 mmm = nnn - (nnn/5)*5; // multiplo de 5
523 // INCREASE STEP SIZE IF STEPPING TOWARDS MINIMUM IS TOO SLOW
527 // Constrain paramiters
528 Int_t kpos = (k-1) % knParam;
531 if( param[k] <= 20 ) param[k] = fMinPeak;
534 if( TMath::Abs( param[k] - prm0[k] ) > 1.5 ) param[k] = prm0[k];
537 if( TMath::Abs( param[k] - prm0[k] ) > 1. ) param[k] = prm0[k];
540 if( param[k] < .5 ) param[k] = .5;
543 if( param[k] < .288 ) param[k] = .288;// 1/sqrt(12) = 0.288
544 if( param[k] > zdim*.5 ) param[k] = zdim*.5;
547 PeakFunc( xdim, zdim, param, speFit );
548 chisq3 = ChiSqr( xdim, zdim, spe, speFit );
549 if( chisq3 < chisq2 && nnn < 50 ){
556 // FIND MINIMUM OF PARABOLA DEFINED BY LAST THREE POINTS
557 a = chisq1*(p2-p3)+chisq2*(p3-p1)+chisq3*(p1-p2);
558 b = chisq1*(p2*p2-p3*p3)+chisq2*(p3*p3-p1*p1)+chisq3*(p1*p1-p2*p2);
559 if( a!=0 ) p0 = (Double_t)(0.5*b/a);
561 //--IN CASE OF NEARLY EQUAL CHI-SQUARED AND TOO SMALL STEP SIZE PREVENT
562 // ERRONEOUS EVALUATION OF PARABOLA MINIMUM
563 //---NEXT TWO LINES CAN BE OMITTED FOR HIGHER PRECISION MACHINES
564 //dp = (Double_t) max (TMath::Abs(p3-p2), TMath::Abs(p2-p1));
565 //if( TMath::Abs( p2-p0 ) > dp ) p0 = p2;
567 // Constrain paramiters
568 Int_t kpos = (k-1) % knParam;
571 if( param[k] <= 20 ) param[k] = fMinPeak;
574 if( TMath::Abs( param[k] - prm0[k] ) > 1.5 ) param[k] = prm0[k];
577 if( TMath::Abs( param[k] - prm0[k] ) > 1. ) param[k] = prm0[k];
580 if( param[k] < .5 ) param[k] = .5;
583 if( param[k] < .288 ) param[k] = .288; // 1/sqrt(12) = 0.288
584 if( param[k] > zdim*.5 ) param[k] = zdim*.5;
587 PeakFunc( xdim, zdim, param, speFit );
588 chisqt = ChiSqr( xdim, zdim, spe, speFit );
589 // DO NOT ALLOW ERRONEOUS INTERPOLATION
590 if( chisqt <= *chisqr ) *chisqr = chisqt;
591 else param[k] = prm0[k];
592 // OPTIMIZE SEARCH STEP FOR EVENTUAL NEXT CALL OF MINIM
593 steprm[k] = (param[k]-prm0[k])/5;
594 if( steprm[k] >= d1 ) steprm[k] = d1/5;
596 // EVALUATE FIT AND CHI-SQUARED FOR OPTIMIZED PARAMETERS
597 PeakFunc( xdim, zdim, param, speFit );
598 *chisqr = ChiSqr( xdim, zdim, spe, speFit );
601 //_________________________________________________________________________
602 Int_t AliITSClusterFinderSDD::NoLinearFit( Int_t xdim, Int_t zdim,
603 Double_t *param, Double_t *spe,
604 Int_t *niter, Double_t *chir ){
605 // fit method from Comput. Phys. Commun 46(1987) 149
606 const Double_t kchilmt = 0.01; // relative accuracy
607 const Int_t knel = 3; // for parabolic minimization
608 const Int_t knstop = 50; // Max. iteration number
609 const Int_t knParam = 5;
610 Int_t npeak = (Int_t)param[0];
611 // RETURN IF NUMBER OF DEGREES OF FREEDOM IS NOT POSITIVE
612 if( (xdim*zdim - npeak*knParam) <= 0 ) return( -1 );
613 Double_t degFree = (xdim*zdim - npeak*knParam)-1;
614 Int_t n, k, iterNum = 0;
615 Double_t *prm0 = new Double_t[npeak*knParam+1];
616 Double_t *step = new Double_t[npeak*knParam+1];
617 Double_t *schi = new Double_t[npeak*knParam+1];
619 sprm[0] = new Double_t[npeak*knParam+1];
620 sprm[1] = new Double_t[npeak*knParam+1];
621 sprm[2] = new Double_t[npeak*knParam+1];
622 Double_t chi0, chi1, reldif, a, b, prmin, dp;
623 Double_t *speFit = new Double_t[ xdim*zdim ];
624 PeakFunc( xdim, zdim, param, speFit );
625 chi0 = ChiSqr( xdim, zdim, spe, speFit );
627 for( k=1; k<(npeak*knParam+1); k++) prm0[k] = param[k];
628 for( k=1 ; k<(npeak*knParam+1); k+=knParam ){
629 step[k] = param[k] / 20.0 ;
630 step[k+1] = param[k+1] / 50.0;
631 step[k+2] = param[k+2] / 50.0;
632 step[k+3] = param[k+3] / 20.0;
633 step[k+4] = param[k+4] / 20.0;
639 Minim( xdim, zdim, param, prm0, step, &chi1, spe, speFit );
640 reldif = ( chi1 > 0 ) ? ((Double_t) TMath::Abs( chi1-chi0)/chi1 ) : 0;
642 if( reldif < (float) kchilmt ){
643 *chir = (chi1>0) ? (float) TMath::Sqrt (chi1/degFree) :0;
648 if( (reldif < (float)(5*kchilmt)) && (iterNum > knstop) ){
649 *chir = (chi1>0) ?(float) TMath::Sqrt (chi1/degFree):0;
654 if( iterNum > 5*knstop ){
655 *chir = (chi1>0) ?(float) TMath::Sqrt (chi1/degFree):0;
660 if( iterNum <= knel ) continue;
661 n = iterNum - (iterNum/knel)*knel; // EXTRAPOLATION LIMIT COUNTER N
662 if( n > 3 || n == 0 ) continue;
664 for( k=1; k<(npeak*knParam+1); k++ ) sprm[n-1][k] = param[k];
665 if( n != 3 ) continue;
666 // -EVALUATE EXTRAPOLATED VALUE OF EACH PARAMETER BY FINDING MINIMUM OF
667 // PARABOLA DEFINED BY LAST THREE CALLS OF MINIM
668 for( k=1; k<(npeak*knParam+1); k++ ){
669 Double_t tmp0 = sprm[0][k];
670 Double_t tmp1 = sprm[1][k];
671 Double_t tmp2 = sprm[2][k];
672 a = schi[0]*(tmp1-tmp2) + schi[1]*(tmp2-tmp0);
673 a += (schi[2]*(tmp0-tmp1));
674 b = schi[0]*(tmp1*tmp1-tmp2*tmp2);
675 b += (schi[1]*(tmp2*tmp2-tmp0*tmp0)+(schi[2]*
676 (tmp0*tmp0-tmp1*tmp1)));
677 if ((double)a < 1.0E-6) prmin = 0;
678 else prmin = (float) (0.5*b/a);
680 if( TMath::Abs(prmin-tmp2) > TMath::Abs(dp) ) prmin = tmp2+dp;
682 step[k] = dp/10; // OPTIMIZE SEARCH STEP
695 //______________________________________________________________________
696 void AliITSClusterFinderSDD::ResolveClusters(){
697 // The function to resolve clusters if the clusters overlapping exists
699 // get number of clusters for this module
700 Int_t nofClusters = NClusters();
701 nofClusters -= fNclusters;
702 Int_t fNofMaps = GetSeg()->Npz();
703 Int_t fNofAnodes = fNofMaps/2;
704 //Int_t fMaxNofSamples = GetSeg()->Npx();
706 Double_t fTimeStep = GetSeg()->Dpx( dummy );
707 Double_t fSddLength = GetSeg()->Dx();
708 Double_t anodePitch = GetSeg()->Dpz( dummy );
709 Int_t electronics =GetResp(fModule)->GetElectronics(); // 1 = PASCAL, 2 = OLA
710 AliITSCalibrationSDD* cal = (AliITSCalibrationSDD*)GetResp(fModule);
711 AliITSresponseSDD* res = (AliITSresponseSDD*)cal->GetResponse();
712 const char *option=res->ZeroSuppOption();
715 for( Int_t j=0; j<nofClusters; j++ ){
716 // get cluster information
717 AliITSRawClusterSDD *clusterJ=(AliITSRawClusterSDD*) Cluster(j);
718 Int_t astart = clusterJ->Astart();
719 Int_t astop = clusterJ->Astop();
720 Int_t tstart = clusterJ->Tstartf();
721 Int_t tstop = clusterJ->Tstopf();
722 Int_t wing = (Int_t)clusterJ->W();
724 astart += fNofAnodes;
727 Int_t xdim = tstop-tstart+3;
728 Int_t zdim = astop-astart+3;
729 if( xdim > 50 || zdim > 30 ) {
730 Warning("ResolveClusters","xdim: %d , zdim: %d ",xdim,zdim);
733 Double_t *sp = new Double_t[ xdim*zdim+1 ];
734 memset( sp, 0, sizeof(Double_t)*(xdim*zdim+1) );
736 // make a local map from cluster region
737 for( Int_t ianode=astart; ianode<=astop; ianode++ ){
738 for( Int_t itime=tstart; itime<=tstop; itime++ ){
739 Double_t fadc = Map()->GetSignal( ianode, itime );
740 if(!((strstr(option,"1D")) || (strstr(option,"2D")))){
741 Double_t baseline=GetResp(fModule)->GetBaseline(ianode);
742 if( fadc > baseline ) fadc -= (Double_t)baseline;
745 Int_t index = (itime-tstart+1)*zdim+(ianode-astart+1);
750 // search peaks on cluster
751 const Int_t kNp = 150;
754 Double_t peakAmp1[kNp];
755 Int_t npeak = SearchPeak(sp,xdim,zdim,peakX1,peakZ1,peakAmp1,fMinPeak);
757 // if multiple peaks, split cluster
759 // cout << "npeak " << npeak << endl;
760 // clusterJ->PrintInfo();
761 Double_t *par = new Double_t[npeak*5+1];
762 par[0] = (Double_t)npeak;
763 // Initial parameters in cell dimentions
765 for( i=0; i<npeak; i++ ){
766 par[k1] = peakAmp1[i];
767 par[k1+1] = peakX1[i]; // local time pos. [timebin]
768 par[k1+2] = peakZ1[i]; // local anode pos. [anodepitch]
769 if( electronics == 1 ) par[k1+3] = 2.; // PASCAL
770 else if(electronics==2) par[k1+3] = 0.7;//tau [timebin] OLA
771 par[k1+4] = .4; // sigma [anodepich]
776 NoLinearFit( xdim, zdim, par, sp, &niter, &chir );
781 Double_t peakAmp[kNp];
782 Double_t integral[kNp];
783 //get integrals => charge for each peak
784 PeakFunc( xdim, zdim, par, sp, integral );
786 for( i=0; i<npeak; i++ ){
787 peakAmp[i] = par[k1];
788 peakX[i] = par[k1+1];
789 peakZ[i] = par[k1+2];
791 sigma[i] = par[k1+4];
794 // calculate parameter for new clusters
795 for( i=0; i<npeak; i++ ){
796 AliITSRawClusterSDD clusterI( *clusterJ );
798 Int_t newAnode = peakZ1[i]-1 + astart;
800 // Int_t newiTime = peakX1[i]-1 + tstart;
801 // Int_t shift = (Int_t)(fTimeCorr/fTimeStep + 0.5);
802 // if( newiTime > shift && newiTime < (fMaxNofSamples-shift) )
804 // Int_t peakpos = Map()->GetHitIndex(newAnode,newiTime+shift );
805 // clusterI.SetPeakPos( peakpos );
807 clusterI.SetPeakAmpl( peakAmp1[i] );
808 Double_t newAnodef = peakZ[i] - 0.5 + astart;
809 Double_t newiTimef = peakX[i] - 1 + tstart;
810 if( wing == 2 ) newAnodef -= fNofAnodes;
811 Double_t anodePath = (newAnodef - fNofAnodes/2)*anodePitch;
812 newiTimef *= fTimeStep;
813 if( newiTimef > fTimeCorr ) newiTimef -= fTimeCorr;
814 if( electronics == 1 ){
815 // newiTimef *= 0.999438; // PASCAL
816 // newiTimef += (6./fDriftSpeed - newiTimef/3000.);
817 }else if( electronics == 2 )
818 newiTimef *= 0.99714; // OLA
820 Int_t timeBin = (Int_t)(newiTimef/fTimeStep+0.5);
821 Int_t peakpos = Map()->GetHitIndex( newAnode, timeBin );
823 for( Int_t ii=0; ii<3; ii++ ) {
824 peakpos = Map()->GetHitIndex( newAnode, timeBin+ii );
825 if( peakpos > 0 ) break;
826 peakpos = Map()->GetHitIndex( newAnode, timeBin-ii );
827 if( peakpos > 0 ) break;
832 //Warning("ResolveClusters",
833 // "Digit not found for cluster");
834 //if(AliDebugLevel()>=3) clusterI.PrintInfo();
837 clusterI.SetPeakPos( peakpos );
838 Float_t dp = cal->GetDriftPath(newiTimef,newAnodef);
839 Float_t driftPath = fSddLength - (Double_t)dp;
840 Float_t sign = ( wing == 1 ) ? -1. : 1.;
841 Float_t xcoord = driftPath*sign * 0.0001;
842 Float_t zcoord = anodePath * 0.0001;
843 Float_t corrx=0, corrz=0;
844 cal->GetCorrections(zcoord,xcoord,corrz,corrx,GetSeg());
847 clusterI.SetX( xcoord );
848 clusterI.SetZ( zcoord );
849 clusterI.SetAnode( newAnodef );
850 clusterI.SetTime( newiTimef );
851 clusterI.SetAsigma( sigma[i]*anodePitch );
852 clusterI.SetTsigma( tau[i]*fTimeStep );
853 clusterI.SetQ( integral[i] );
855 fDetTypeRec->AddCluster( 1, &clusterI );
857 Clusters()->RemoveAt( j );
859 } else { // something odd
860 Warning( "ResolveClusters",
861 "--- Peak not found!!!! minpeak=%d ,cluster peak= %f"
863 fMinPeak, clusterJ->PeakAmpl(),GetModule());
864 clusterJ->PrintInfo();
865 Warning( "ResolveClusters"," xdim= %d zdim= %d", xdim-2, zdim-2 );
869 Clusters()->Compress();
870 // Map()->ClearMap();
872 //________________________________________________________________________
873 void AliITSClusterFinderSDD::GroupClusters(){
876 Double_t fTimeStep = GetSeg()->Dpx(dummy);
877 // get number of clusters for this module
878 Int_t nofClusters = NClusters();
879 nofClusters -= fNclusters;
880 AliITSRawClusterSDD *clusterI;
881 AliITSRawClusterSDD *clusterJ;
882 Int_t *label = new Int_t [nofClusters];
884 for(i=0; i<nofClusters; i++) label[i] = 0;
885 for(i=0; i<nofClusters; i++) {
886 if(label[i] != 0) continue;
887 for(j=i+1; j<nofClusters; j++) {
888 if(label[j] != 0) continue;
889 clusterI = (AliITSRawClusterSDD*) Cluster(i);
890 clusterJ = (AliITSRawClusterSDD*) Cluster(j);
892 if(clusterI->T() < fTimeStep*60) fDAnode = 4.2; // TB 3.2
893 if(clusterI->T() < fTimeStep*10) fDAnode = 1.5; // TB 1.
894 Bool_t pair = clusterI->Brother(clusterJ,fDAnode,fDTime);
896 if(AliDebugLevel()>=4){
897 clusterI->PrintInfo();
898 clusterJ->PrintInfo();
899 } // end if AliDebugLevel
900 clusterI->Add(clusterJ);
902 Clusters()->RemoveAt(j);
907 Clusters()->Compress();
912 //________________________________________________________________________
913 void AliITSClusterFinderSDD::SelectClusters(){
914 // get number of clusters for this module
915 Int_t nofClusters = NClusters();
917 nofClusters -= fNclusters;
919 for(i=0; i<nofClusters; i++) {
920 AliITSRawClusterSDD *clusterI =(AliITSRawClusterSDD*) Cluster(i);
923 if(clusterI->Anodes() != 0.) {
924 wy = ((Double_t) clusterI->Samples())/clusterI->Anodes();
926 Int_t amp = (Int_t) clusterI->PeakAmpl();
927 Int_t cha = (Int_t) clusterI->Q();
928 if(amp < fMinPeak) rmflg = 1;
929 if(cha < fMinCharge) rmflg = 1;
930 if(wy < fMinNCells) rmflg = 1;
931 //if(wy > fMaxNCells) rmflg = 1;
932 if(rmflg) Clusters()->RemoveAt(i);
934 Clusters()->Compress();
938 //______________________________________________________________________
939 void AliITSClusterFinderSDD::GetRecPoints(AliITSCalibrationSDD* cal){
942 // get number of clusters for this module
943 Int_t nofClusters = NClusters();
944 nofClusters -= fNclusters;
945 const Double_t kconvGeV = 1.e-6; // GeV -> KeV
946 const Double_t kconv = 1.0e-4;
947 const Double_t kcmToMicrons = 10000.;
948 const Double_t kRMSx = 38.0*kconv; // microns->cm ITS TDR Table 1.3
949 const Double_t kRMSz = 28.0*kconv; // microns->cm ITS TDR Table 1.3
950 Int_t nAnodes=GetSeg()->NpzHalf();
952 Int_t ix, iz, idx=-1;
953 AliITSdigitSDD *dig=0;
954 Int_t ndigits=NDigits();
957 fDetTypeRec->GetITSgeom()->GetModuleId(fModule,lay,lad,det);
958 Int_t ind=(lad-1)*fDetTypeRec->GetITSgeom()->GetNdetectors(lay)+(det-1);
962 for(i=0; i<nofClusters; i++) {
963 AliITSRawClusterSDD *clusterI = (AliITSRawClusterSDD*)Cluster(i);
964 if(!clusterI) Error("SDD: GetRecPoints","i clusterI ",i,clusterI);
965 if(clusterI) idx=clusterI->PeakPos();
966 if(idx>ndigits) Error("SDD: GetRecPoints","idx ndigits",idx,ndigits);
967 // try peak neighbours - to be done
968 if(idx&&idx<= ndigits) dig =(AliITSdigitSDD*)GetDigit(idx);
971 Float_t xMicrons=clusterI->X()*kcmToMicrons;
972 Float_t zMicrons=clusterI->Z()*kcmToMicrons;
973 Float_t zAnode=zMicrons/GetSeg()->Dpz(0)+nAnodes/2;
974 Float_t driftSpeed=cal->GetDriftSpeedAtAnode(zAnode);
975 Float_t driftPath=GetSeg()->Dx()-TMath::Abs(xMicrons);
976 ix=1+(Int_t)(driftPath/driftSpeed/GetSeg()->Dpx(0));
978 if(xMicrons>0) iz+=nAnodes;
979 dig = (AliITSdigitSDD*)Map()->GetHit(iz-1,ix-1);
980 // if null try neighbours
981 if (!dig) dig = (AliITSdigitSDD*)Map()->GetHit(iz-1,ix);
982 if (!dig) dig = (AliITSdigitSDD*)Map()->GetHit(iz-1,ix+1);
983 if (!dig) printf("SDD: cannot assign the track number!\n");
986 Int_t lab[4] = {-3141593,-3141593,-3141593,ind};
988 lab[0] = dig->GetTrack(0);
989 lab[1] = dig->GetTrack(1);
990 lab[2] = dig->GetTrack(2);
992 Float_t hit[5] = {clusterI->X(),clusterI->Z(),kRMSx*kRMSx,kRMSz*kRMSz,clusterI->Q()};
993 Int_t info[3] = {0,0,lyr};
995 AliITSRecPoint rnew(lab,hit,info,kTRUE);
996 rnew.SetdEdX(kconvGeV*clusterI->Q());
998 fDetTypeRec->AddRecPoint(rnew);
1000 // Map()->ClearMap();
1002 //______________________________________________________________________
1003 void AliITSClusterFinderSDD::FindRawClusters(Int_t mod){
1004 // find raw clusters
1007 SetCutAmplitude(mod);
1008 AliITSCalibrationSDD* cal = (AliITSCalibrationSDD*)GetResp(mod);
1009 Int_t nanodes=GetSeg()->Npz();
1011 for(Int_t i=0;i<nanodes;i++){
1012 noise+=(Int_t)cal->GetNoiseAfterElectronics(i);
1014 SetMinPeak((noise/nanodes)*5);
1021 //_______________________________________________________________________
1022 void AliITSClusterFinderSDD::PrintStatus() const{
1023 // Print SDD cluster finder Parameters
1025 cout << "**************************************************" << endl;
1026 cout << " Silicon Drift Detector Cluster Finder Parameters " << endl;
1027 cout << "**************************************************" << endl;
1028 cout << "Number of Clusters: " << fNclusters << endl;
1029 cout << "Anode Tolerance: " << fDAnode << endl;
1030 cout << "Time Tolerance: " << fDTime << endl;
1031 cout << "Time correction (electronics): " << fTimeCorr << endl;
1032 cout << "Cut Amplitude (threshold): " << fCutAmplitude[0] << endl;
1033 cout << "Minimum Amplitude: " << fMinPeak << endl;
1034 cout << "Minimum Charge: " << fMinCharge << endl;
1035 cout << "Minimum number of cells/clusters: " << fMinNCells << endl;
1036 cout << "Maximum number of cells/clusters: " << fMaxNCells << endl;
1037 cout << "**************************************************" << endl;