]> git.uio.no Git - u/mrichter/AliRoot.git/blame - TPC/AliTPCclustererMI.cxx
AliTPCParam::ReadGeoMatrices called before reconstruction in TPC (M.Ivanov)
[u/mrichter/AliRoot.git] / TPC / AliTPCclustererMI.cxx
CommitLineData
1c53abe2 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/* $Id$ */
1c53abe2 17
18//-------------------------------------------------------
19// Implementation of the TPC clusterer
20//
21// Origin: Marian Ivanov
22//-------------------------------------------------------
23
d7a11555 24#include "AliTPCReconstructor.h"
1c53abe2 25#include "AliTPCclustererMI.h"
26#include "AliTPCclusterMI.h"
27#include <TObjArray.h>
28#include <TFile.h>
29#include "AliTPCClustersArray.h"
30#include "AliTPCClustersRow.h"
f8aae377 31#include "AliTPCRawStream.h"
1c53abe2 32#include "AliDigits.h"
33#include "AliSimDigits.h"
34#include "AliTPCParam.h"
f8aae377 35#include "AliRawReader.h"
36#include "AliTPCRawStream.h"
37#include "AliRunLoader.h"
38#include "AliLoader.h"
cc5e9db0 39#include "Riostream.h"
1c53abe2 40#include <TTree.h>
41
13116aec 42#include "AliTPCcalibDB.h"
43#include "AliTPCCalPad.h"
44#include "AliTPCCalROC.h"
45
46
1c53abe2 47ClassImp(AliTPCclustererMI)
48
49
50
f8aae377 51AliTPCclustererMI::AliTPCclustererMI(const AliTPCParam* par)
1c53abe2 52{
53 fInput =0;
54 fOutput=0;
f8aae377 55 fParam = par;
1c53abe2 56}
57void AliTPCclustererMI::SetInput(TTree * tree)
58{
59 //
60 // set input tree with digits
61 //
62 fInput = tree;
63 if (!fInput->GetBranch("Segment")){
64 cerr<<"AliTPC::Digits2Clusters(): no porper input tree !\n";
65 fInput=0;
66 return;
67 }
68}
69
70void AliTPCclustererMI::SetOutput(TTree * tree)
71{
72 //
73 //
74 fOutput= tree;
75 AliTPCClustersRow clrow;
76 AliTPCClustersRow *pclrow=&clrow;
77 clrow.SetClass("AliTPCclusterMI");
78 clrow.SetArray(1); // to make Clones array
79 fOutput->Branch("Segment","AliTPCClustersRow",&pclrow,32000,200);
80}
81
82
83Float_t AliTPCclustererMI::GetSigmaY2(Int_t iz){
84 // sigma y2 = in digits - we don't know the angle
753797ce 85 Float_t z = iz*fParam->GetZWidth()+fParam->GetNTBinsL1()*fParam->GetZWidth();
1c53abe2 86 Float_t sd2 = (z*fParam->GetDiffL()*fParam->GetDiffL())/
87 (fPadWidth*fPadWidth);
88 Float_t sres = 0.25;
89 Float_t res = sd2+sres;
90 return res;
91}
92
93
94Float_t AliTPCclustererMI::GetSigmaZ2(Int_t iz){
95 //sigma z2 = in digits - angle estimated supposing vertex constraint
753797ce 96 Float_t z = iz*fZWidth+fParam->GetNTBinsL1()*fParam->GetZWidth();
1c53abe2 97 Float_t sd2 = (z*fParam->GetDiffL()*fParam->GetDiffL())/(fZWidth*fZWidth);
98 Float_t angular = fPadLength*(fParam->GetZLength()-z)/(fRx*fZWidth);
99 angular*=angular;
100 angular/=12.;
101 Float_t sres = fParam->GetZSigma()/fZWidth;
102 sres *=sres;
103 Float_t res = angular +sd2+sres;
104 return res;
105}
106
13116aec 107void AliTPCclustererMI::MakeCluster(Int_t k,Int_t max,Float_t *bins, UInt_t /*m*/,
1c53abe2 108AliTPCclusterMI &c)
109{
110 Int_t i0=k/max; //central pad
111 Int_t j0=k%max; //central time bin
112
113 // set pointers to data
114 //Int_t dummy[5] ={0,0,0,0,0};
13116aec 115 Float_t * matrix[5]; //5x5 matrix with digits - indexing i = 0 ..4 j = -2..2
116 Float_t * resmatrix[5];
1c53abe2 117 for (Int_t di=-2;di<=2;di++){
118 matrix[di+2] = &bins[k+di*max];
119 resmatrix[di+2] = &fResBins[k+di*max];
120 }
121 //build matrix with virtual charge
122 Float_t sigmay2= GetSigmaY2(j0);
123 Float_t sigmaz2= GetSigmaZ2(j0);
124
125 Float_t vmatrix[5][5];
126 vmatrix[2][2] = matrix[2][0];
127 c.SetType(0);
6c024a0e 128 c.SetMax((UShort_t)(vmatrix[2][2])); // write maximal amplitude
1c53abe2 129 for (Int_t di =-1;di <=1;di++)
130 for (Int_t dj =-1;dj <=1;dj++){
131 Float_t amp = matrix[di+2][dj];
132 if ( (amp<2) && (fLoop<2)){
133 // if under threshold - calculate virtual charge
134 Float_t ratio = TMath::Exp(-1.2*TMath::Abs(di)/sigmay2)*TMath::Exp(-1.2*TMath::Abs(dj)/sigmaz2);
135 amp = ((matrix[2][0]-2)*(matrix[2][0]-2)/(matrix[-di+2][-dj]+2))*ratio;
136 if (amp>2) amp = 2;
137 vmatrix[2+di][2+dj]=amp;
138 vmatrix[2+2*di][2+2*dj]=0;
139 if ( (di*dj)!=0){
140 //DIAGONAL ELEMENTS
141 vmatrix[2+2*di][2+dj] =0;
142 vmatrix[2+di][2+2*dj] =0;
143 }
144 continue;
145 }
146 if (amp<4){
147 //if small amplitude - below 2 x threshold - don't consider other one
148 vmatrix[2+di][2+dj]=amp;
149 vmatrix[2+2*di][2+2*dj]=0; // don't take to the account next bin
150 if ( (di*dj)!=0){
151 //DIAGONAL ELEMENTS
152 vmatrix[2+2*di][2+dj] =0;
153 vmatrix[2+di][2+2*dj] =0;
154 }
155 continue;
156 }
157 //if bigger then take everything
158 vmatrix[2+di][2+dj]=amp;
159 vmatrix[2+2*di][2+2*dj]= matrix[2*di+2][2*dj] ;
160 if ( (di*dj)!=0){
161 //DIAGONAL ELEMENTS
162 vmatrix[2+2*di][2+dj] = matrix[2*di+2][dj];
163 vmatrix[2+di][2+2*dj] = matrix[2+di][dj*2];
164 }
165 }
166
167
168
169 Float_t sumw=0;
170 Float_t sumiw=0;
171 Float_t sumi2w=0;
172 Float_t sumjw=0;
173 Float_t sumj2w=0;
174 //
175 for (Int_t i=-2;i<=2;i++)
176 for (Int_t j=-2;j<=2;j++){
177 Float_t amp = vmatrix[i+2][j+2];
178
179 sumw += amp;
180 sumiw += i*amp;
181 sumi2w += i*i*amp;
182 sumjw += j*amp;
183 sumj2w += j*j*amp;
184 }
185 //
186 Float_t meani = sumiw/sumw;
187 Float_t mi2 = sumi2w/sumw-meani*meani;
188 Float_t meanj = sumjw/sumw;
189 Float_t mj2 = sumj2w/sumw-meanj*meanj;
190 //
191 Float_t ry = mi2/sigmay2;
192 Float_t rz = mj2/sigmaz2;
193
194 //
195 if ( ( (ry<0.6) || (rz<0.6) ) && fLoop==2) return;
196 if ( (ry <1.2) && (rz<1.2) ) {
197 //if cluster looks like expected
198 //+1.2 deviation from expected sigma accepted
199 // c.fMax = FitMax(vmatrix,meani,meanj,TMath::Sqrt(sigmay2),TMath::Sqrt(sigmaz2));
200
201 meani +=i0;
202 meanj +=j0;
203 //set cluster parameters
204 c.SetQ(sumw);
205 c.SetY(meani*fPadWidth);
206 c.SetZ(meanj*fZWidth);
207 c.SetSigmaY2(mi2);
208 c.SetSigmaZ2(mj2);
209 AddCluster(c);
210 //remove cluster data from data
211 for (Int_t di=-2;di<=2;di++)
212 for (Int_t dj=-2;dj<=2;dj++){
13116aec 213 resmatrix[di+2][dj] -= vmatrix[di+2][dj+2];
1c53abe2 214 if (resmatrix[di+2][dj]<0) resmatrix[di+2][dj]=0;
215 }
216 resmatrix[2][0] =0;
217 return;
218 }
219 //
220 //unfolding when neccessary
221 //
222
13116aec 223 Float_t * matrix2[7]; //7x7 matrix with digits - indexing i = 0 ..6 j = -3..3
224 Float_t dummy[7]={0,0,0,0,0,0};
1c53abe2 225 for (Int_t di=-3;di<=3;di++){
226 matrix2[di+3] = &bins[k+di*max];
227 if ((k+di*max)<3) matrix2[di+3] = &dummy[3];
228 if ((k+di*max)>fMaxBin-3) matrix2[di+3] = &dummy[3];
229 }
230 Float_t vmatrix2[5][5];
231 Float_t sumu;
232 Float_t overlap;
233 UnfoldCluster(matrix2,vmatrix2,meani,meanj,sumu,overlap);
234 //
235 // c.fMax = FitMax(vmatrix2,meani,meanj,TMath::Sqrt(sigmay2),TMath::Sqrt(sigmaz2));
236 meani +=i0;
237 meanj +=j0;
238 //set cluster parameters
239 c.SetQ(sumu);
240 c.SetY(meani*fPadWidth);
241 c.SetZ(meanj*fZWidth);
242 c.SetSigmaY2(mi2);
243 c.SetSigmaZ2(mj2);
244 c.SetType(Char_t(overlap)+1);
245 AddCluster(c);
246
247 //unfolding 2
248 meani-=i0;
249 meanj-=j0;
250 if (gDebug>4)
251 printf("%f\t%f\n", vmatrix2[2][2], vmatrix[2][2]);
252}
253
254
255
13116aec 256void AliTPCclustererMI::UnfoldCluster(Float_t * matrix2[7], Float_t recmatrix[5][5], Float_t & meani, Float_t & meanj,
1c53abe2 257 Float_t & sumu, Float_t & overlap )
258{
259 //
260 //unfold cluster from input matrix
261 //data corresponding to cluster writen in recmatrix
262 //output meani and meanj
263
264 //take separatelly y and z
265
266 Float_t sum3i[7] = {0,0,0,0,0,0,0};
267 Float_t sum3j[7] = {0,0,0,0,0,0,0};
268
269 for (Int_t k =0;k<7;k++)
270 for (Int_t l = -1; l<=1;l++){
271 sum3i[k]+=matrix2[k][l];
272 sum3j[k]+=matrix2[l+3][k-3];
273 }
274 Float_t mratio[3][3]={{1,1,1},{1,1,1},{1,1,1}};
275 //
276 //unfold y
277 Float_t sum3wi = 0; //charge minus overlap
278 Float_t sum3wio = 0; //full charge
279 Float_t sum3iw = 0; //sum for mean value
280 for (Int_t dk=-1;dk<=1;dk++){
281 sum3wio+=sum3i[dk+3];
282 if (dk==0){
283 sum3wi+=sum3i[dk+3];
284 }
285 else{
286 Float_t ratio =1;
287 if ( ( ((sum3i[dk+3]+3)/(sum3i[3]-3))+1 < (sum3i[2*dk+3]-3)/(sum3i[dk+3]+3))||
288 sum3i[dk+3]<=sum3i[2*dk+3] && sum3i[dk+3]>2 ){
289 Float_t xm2 = sum3i[-dk+3];
290 Float_t xm1 = sum3i[+3];
291 Float_t x1 = sum3i[2*dk+3];
292 Float_t x2 = sum3i[3*dk+3];
cc5e9db0 293 Float_t w11 = TMath::Max((Float_t)(4.*xm1-xm2),(Float_t)0.000001);
294 Float_t w12 = TMath::Max((Float_t)(4 *x1 -x2),(Float_t)0.);
1c53abe2 295 ratio = w11/(w11+w12);
296 for (Int_t dl=-1;dl<=1;dl++)
297 mratio[dk+1][dl+1] *= ratio;
298 }
299 Float_t amp = sum3i[dk+3]*ratio;
300 sum3wi+=amp;
301 sum3iw+= dk*amp;
302 }
303 }
304 meani = sum3iw/sum3wi;
305 Float_t overlapi = (sum3wio-sum3wi)/sum3wio;
306
307
308
309 //unfold z
310 Float_t sum3wj = 0; //charge minus overlap
311 Float_t sum3wjo = 0; //full charge
312 Float_t sum3jw = 0; //sum for mean value
313 for (Int_t dk=-1;dk<=1;dk++){
314 sum3wjo+=sum3j[dk+3];
315 if (dk==0){
316 sum3wj+=sum3j[dk+3];
317 }
318 else{
319 Float_t ratio =1;
320 if ( ( ((sum3j[dk+3]+3)/(sum3j[3]-3))+1 < (sum3j[2*dk+3]-3)/(sum3j[dk+3]+3)) ||
321 (sum3j[dk+3]<=sum3j[2*dk+3] && sum3j[dk+3]>2)){
322 Float_t xm2 = sum3j[-dk+3];
323 Float_t xm1 = sum3j[+3];
324 Float_t x1 = sum3j[2*dk+3];
325 Float_t x2 = sum3j[3*dk+3];
cc5e9db0 326 Float_t w11 = TMath::Max((Float_t)(4.*xm1-xm2),(Float_t)0.000001);
327 Float_t w12 = TMath::Max((Float_t)(4 *x1 -x2),(Float_t)0.);
1c53abe2 328 ratio = w11/(w11+w12);
329 for (Int_t dl=-1;dl<=1;dl++)
330 mratio[dl+1][dk+1] *= ratio;
331 }
332 Float_t amp = sum3j[dk+3]*ratio;
333 sum3wj+=amp;
334 sum3jw+= dk*amp;
335 }
336 }
337 meanj = sum3jw/sum3wj;
338 Float_t overlapj = (sum3wjo-sum3wj)/sum3wjo;
339 overlap = Int_t(100*TMath::Max(overlapi,overlapj)+3);
340 sumu = (sum3wj+sum3wi)/2.;
341
342 if (overlap ==3) {
343 //if not overlap detected remove everything
344 for (Int_t di =-2; di<=2;di++)
345 for (Int_t dj =-2; dj<=2;dj++){
346 recmatrix[di+2][dj+2] = matrix2[3+di][dj];
347 }
348 }
349 else{
350 for (Int_t di =-1; di<=1;di++)
351 for (Int_t dj =-1; dj<=1;dj++){
352 Float_t ratio =1;
353 if (mratio[di+1][dj+1]==1){
354 recmatrix[di+2][dj+2] = matrix2[3+di][dj];
355 if (TMath::Abs(di)+TMath::Abs(dj)>1){
356 recmatrix[2*di+2][dj+2] = matrix2[3+2*di][dj];
357 recmatrix[di+2][2*dj+2] = matrix2[3+di][2*dj];
358 }
359 recmatrix[2*di+2][2*dj+2] = matrix2[3+2*di][2*dj];
360 }
361 else
362 {
363 //if we have overlap in direction
364 recmatrix[di+2][dj+2] = mratio[di+1][dj+1]* matrix2[3+di][dj];
365 if (TMath::Abs(di)+TMath::Abs(dj)>1){
cc5e9db0 366 ratio = TMath::Min((Float_t)(recmatrix[di+2][dj+2]/(matrix2[3+0*di][1*dj]+1)),(Float_t)1.);
1c53abe2 367 recmatrix[2*di+2][dj+2] = ratio*recmatrix[di+2][dj+2];
368 //
cc5e9db0 369 ratio = TMath::Min((Float_t)(recmatrix[di+2][dj+2]/(matrix2[3+1*di][0*dj]+1)),(Float_t)1.);
1c53abe2 370 recmatrix[di+2][2*dj+2] = ratio*recmatrix[di+2][dj+2];
371 }
372 else{
373 ratio = recmatrix[di+2][dj+2]/matrix2[3][0];
374 recmatrix[2*di+2][2*dj+2] = ratio*recmatrix[di+2][dj+2];
375 }
376 }
377 }
378 }
379 if (gDebug>4)
380 printf("%f\n", recmatrix[2][2]);
381
382}
383
384Float_t AliTPCclustererMI::FitMax(Float_t vmatrix[5][5], Float_t y, Float_t z, Float_t sigmay, Float_t sigmaz)
385{
386 //
387 // estimate max
388 Float_t sumteor= 0;
389 Float_t sumamp = 0;
390
391 for (Int_t di = -1;di<=1;di++)
392 for (Int_t dj = -1;dj<=1;dj++){
393 if (vmatrix[2+di][2+dj]>2){
394 Float_t teor = TMath::Gaus(di,y,sigmay*1.2)*TMath::Gaus(dj,z,sigmaz*1.2);
395 sumteor += teor*vmatrix[2+di][2+dj];
396 sumamp += vmatrix[2+di][2+dj]*vmatrix[2+di][2+dj];
397 }
398 }
399 Float_t max = sumamp/sumteor;
400 return max;
401}
402
403void AliTPCclustererMI::AddCluster(AliTPCclusterMI &c){
404 //
405 // transform cluster to the global coordinata
406 // add the cluster to the array
407 //
408 Float_t meani = c.GetY()/fPadWidth;
409 Float_t meanj = c.GetZ()/fZWidth;
410
411 Int_t ki = TMath::Nint(meani-3);
412 if (ki<0) ki=0;
413 if (ki>=fMaxPad) ki = fMaxPad-1;
414 Int_t kj = TMath::Nint(meanj-3);
415 if (kj<0) kj=0;
416 if (kj>=fMaxTime-3) kj=fMaxTime-4;
417 // ki and kj shifted to "real" coordinata
f8aae377 418 if (fRowDig) {
419 c.SetLabel(fRowDig->GetTrackIDFast(kj,ki,0)-2,0);
420 c.SetLabel(fRowDig->GetTrackIDFast(kj,ki,1)-2,1);
421 c.SetLabel(fRowDig->GetTrackIDFast(kj,ki,2)-2,2);
422 }
1c53abe2 423
424
425 Float_t s2 = c.GetSigmaY2();
426 Float_t w=fParam->GetPadPitchWidth(fSector);
427
428 c.SetSigmaY2(s2*w*w);
429 s2 = c.GetSigmaZ2();
430 w=fZWidth;
431 c.SetSigmaZ2(s2*w*w);
432 c.SetY((meani - 2.5 - 0.5*fMaxPad)*fParam->GetPadPitchWidth(fSector));
433 c.SetZ(fZWidth*(meanj-3));
753797ce 434 c.SetZ(c.GetZ() - 3.*fParam->GetZSigma() + fParam->GetNTBinsL1()*fParam->GetZWidth()); // PASA delay + L1 delay
1c53abe2 435 c.SetZ(fSign*(fParam->GetZLength() - c.GetZ()));
436
437 if (ki<=1 || ki>=fMaxPad-1 || kj==1 || kj==fMaxTime-2) {
438 //c.SetSigmaY2(c.GetSigmaY2()*25.);
439 //c.SetSigmaZ2(c.GetSigmaZ2()*4.);
440 c.SetType(-(c.GetType()+3)); //edge clusters
441 }
442 if (fLoop==2) c.SetType(100);
443
444 TClonesArray * arr = fRowCl->GetArray();
45bcf167 445 // AliTPCclusterMI * cl =
446 new ((*arr)[fNcluster]) AliTPCclusterMI(c);
1c53abe2 447
448 fNcluster++;
449}
450
451
452//_____________________________________________________________________________
f8aae377 453void AliTPCclustererMI::Digits2Clusters()
1c53abe2 454{
455 //-----------------------------------------------------------------
456 // This is a simple cluster finder.
457 //-----------------------------------------------------------------
1c53abe2 458
f8aae377 459 if (!fInput) {
460 Error("Digits2Clusters", "input tree not initialised");
1c53abe2 461 return;
462 }
463
f8aae377 464 if (!fOutput) {
465 Error("Digits2Clusters", "output tree not initialised");
466 return;
1c53abe2 467 }
468
13116aec 469 AliTPCCalPad * gainTPC = AliTPCcalibDB::Instance()->GetPadGainFactor();
470
1c53abe2 471 AliSimDigits digarr, *dummy=&digarr;
472 fRowDig = dummy;
473 fInput->GetBranch("Segment")->SetAddress(&dummy);
474 Stat_t nentries = fInput->GetEntries();
475
f8aae377 476 fMaxTime=fParam->GetMaxTBin()+6; // add 3 virtual time bins before and 3 after
1c53abe2 477
1c53abe2 478 Int_t nclusters = 0;
13116aec 479
1c53abe2 480 for (Int_t n=0; n<nentries; n++) {
481 fInput->GetEvent(n);
482 Int_t row;
f8aae377 483 if (!fParam->AdjustSectorRow(digarr.GetID(),fSector,row)) {
1c53abe2 484 cerr<<"AliTPC warning: invalid segment ID ! "<<digarr.GetID()<<endl;
485 continue;
486 }
13116aec 487 AliTPCCalROC * gainROC = gainTPC->GetCalROC(fSector); // pad gains per given sector
488
489 //
1c53abe2 490 AliTPCClustersRow *clrow= new AliTPCClustersRow();
491 fRowCl = clrow;
492 clrow->SetClass("AliTPCclusterMI");
493 clrow->SetArray(1);
494
495 clrow->SetID(digarr.GetID());
496 fOutput->GetBranch("Segment")->SetAddress(&clrow);
f8aae377 497 fRx=fParam->GetPadRowRadii(fSector,row);
1c53abe2 498
499
f8aae377 500 const Int_t kNIS=fParam->GetNInnerSector(), kNOS=fParam->GetNOuterSector();
1c53abe2 501 fZWidth = fParam->GetZWidth();
502 if (fSector < kNIS) {
f8aae377 503 fMaxPad = fParam->GetNPadsLow(row);
1c53abe2 504 fSign = (fSector < kNIS/2) ? 1 : -1;
f8aae377 505 fPadLength = fParam->GetPadPitchLength(fSector,row);
506 fPadWidth = fParam->GetPadPitchWidth();
1c53abe2 507 } else {
f8aae377 508 fMaxPad = fParam->GetNPadsUp(row);
1c53abe2 509 fSign = ((fSector-kNIS) < kNOS/2) ? 1 : -1;
f8aae377 510 fPadLength = fParam->GetPadPitchLength(fSector,row);
511 fPadWidth = fParam->GetPadPitchWidth();
1c53abe2 512 }
513
514
515 fMaxBin=fMaxTime*(fMaxPad+6); // add 3 virtual pads before and 3 after
13116aec 516 fBins =new Float_t[fMaxBin];
517 fResBins =new Float_t[fMaxBin]; //fBins with residuals after 1 finder loop
518 memset(fBins,0,sizeof(Float_t)*fMaxBin);
519 memset(fResBins,0,sizeof(Float_t)*fMaxBin);
1c53abe2 520
521 if (digarr.First()) //MI change
522 do {
13116aec 523 Float_t dig=digarr.CurrentDigit();
f8aae377 524 if (dig<=fParam->GetZeroSup()) continue;
1c53abe2 525 Int_t j=digarr.CurrentRow()+3, i=digarr.CurrentColumn()+3;
13116aec 526 Float_t gain = gainROC->GetValue(row,digarr.CurrentRow()/fParam->GetMaxTBin());
527 fBins[i*fMaxTime+j]=dig/gain;
1c53abe2 528 } while (digarr.Next());
529 digarr.ExpandTrackBuffer();
530
f8aae377 531 FindClusters();
8569a2b0 532
533 fOutput->Fill();
88cb7938 534 delete clrow;
535 nclusters+=fNcluster;
8569a2b0 536 delete[] fBins;
537 delete[] fResBins;
88cb7938 538 }
f8aae377 539
19dd5b2f 540 Info("Digits2Clusters", "Number of found clusters : %d", nclusters);
f8aae377 541}
542
543void AliTPCclustererMI::Digits2Clusters(AliRawReader* rawReader)
544{
545//-----------------------------------------------------------------
546// This is a cluster finder for raw data.
547//-----------------------------------------------------------------
548
549 if (!fOutput) {
550 Error("Digits2Clusters", "output tree not initialised");
551 return;
552 }
553
554 rawReader->Reset();
555 AliTPCRawStream input(rawReader);
556
557 fRowDig = NULL;
558
559 Int_t nclusters = 0;
88cb7938 560
f8aae377 561 fMaxTime = fParam->GetMaxTBin() + 6; // add 3 virtual time bins before and 3 after
562 const Int_t kNIS = fParam->GetNInnerSector();
563 const Int_t kNOS = fParam->GetNOuterSector();
564 const Int_t kNS = kNIS + kNOS;
565 fZWidth = fParam->GetZWidth();
566 Int_t zeroSup = fParam->GetZeroSup();
567
568 fBins = NULL;
13116aec 569 Float_t** splitRows = new Float_t* [kNS*2];
570 Float_t** splitRowsRes = new Float_t* [kNS*2];
f8aae377 571 for (Int_t iSector = 0; iSector < kNS*2; iSector++)
572 splitRows[iSector] = NULL;
573 Int_t iSplitRow = -1;
574
575 Bool_t next = kTRUE;
576 while (next) {
577 next = input.Next();
578
579 // when the sector or row number has changed ...
580 if (input.IsNewRow() || !next) {
581
582 // ... find clusters in the previous pad row, and ...
583 if (fBins) {
584 if ((iSplitRow < 0) || splitRows[fSector + kNS*iSplitRow]) {
585 fRowCl = new AliTPCClustersRow;
586 fRowCl->SetClass("AliTPCclusterMI");
587 fRowCl->SetArray(1);
588 fRowCl->SetID(fParam->GetIndex(fSector, input.GetPrevRow()));
589 fOutput->GetBranch("Segment")->SetAddress(&fRowCl);
590
591 FindClusters();
592
593 fOutput->Fill();
594 delete fRowCl;
595 nclusters += fNcluster;
596 delete[] fBins;
597 delete[] fResBins;
598 if (iSplitRow >= 0) splitRows[fSector + kNS*iSplitRow] = NULL;
599
600 } else if (iSplitRow >= 0) {
601 splitRows[fSector + kNS*iSplitRow] = fBins;
602 splitRowsRes[fSector + kNS*iSplitRow] = fResBins;
603 }
604 }
605
606 if (!next) break;
607
608 // ... prepare for the next pad row
609 fSector = input.GetSector();
610 Int_t iRow = input.GetRow();
611 fRx = fParam->GetPadRowRadii(fSector, iRow);
612
613 iSplitRow = -1;
614 if (fSector < kNIS) {
615 fMaxPad = fParam->GetNPadsLow(iRow);
616 fSign = (fSector < kNIS/2) ? 1 : -1;
617 if (iRow == 30) iSplitRow = 0;
618 } else {
619 fMaxPad = fParam->GetNPadsUp(iRow);
620 fSign = ((fSector-kNIS) < kNOS/2) ? 1 : -1;
621 if (iRow == 27) iSplitRow = 0;
622 else if (iRow == 76) iSplitRow = 1;
623 }
624 fPadLength = fParam->GetPadPitchLength(fSector, iRow);
625 fPadWidth = fParam->GetPadPitchWidth();
626
627 fMaxBin = fMaxTime*(fMaxPad+6); // add 3 virtual pads before and 3 after
628 if ((iSplitRow < 0) || !splitRows[fSector + kNS*iSplitRow]) {
13116aec 629 fBins = new Float_t[fMaxBin];
630 fResBins = new Float_t[fMaxBin]; //fBins with residuals after 1 finder loop
631 memset(fBins, 0, sizeof(Float_t)*fMaxBin);
632 memset(fResBins, 0, sizeof(Float_t)*fMaxBin);
f8aae377 633 } else {
634 fBins = splitRows[fSector + kNS*iSplitRow];
635 fResBins = splitRowsRes[fSector + kNS*iSplitRow];
636 }
637 }
638
639 // fill fBins with digits data
640 if (input.GetSignal() <= zeroSup) continue;
641 Int_t i = input.GetPad() + 3;
642 Int_t j = input.GetTime() + 3;
643 fBins[i*fMaxTime+j] = input.GetSignal();
644 }
645
646 // find clusters in split rows that were skipped until now.
647 // this can happen if the rows were not splitted
648 for (fSector = 0; fSector < kNS; fSector++)
649 for (Int_t iSplit = 0; iSplit < 2; iSplit++)
650 if (splitRows[fSector + kNS*iSplit]) {
651
652 Int_t iRow = -1;
653 if (fSector < kNIS) {
654 iRow = 30;
655 fMaxPad = fParam->GetNPadsLow(iRow);
656 fSign = (fSector < kNIS/2) ? 1 : -1;
657 } else {
658 if (iSplit == 0) iRow = 27; else iRow = 76;
659 fMaxPad = fParam->GetNPadsUp(iRow);
660 fSign = ((fSector-kNIS) < kNOS/2) ? 1 : -1;
661 }
662 fRx = fParam->GetPadRowRadii(fSector, iRow);
663 fPadLength = fParam->GetPadPitchLength(fSector, iRow);
664 fPadWidth = fParam->GetPadPitchWidth();
665
666 fMaxBin = fMaxTime*(fMaxPad+6); // add 3 virtual pads before and 3 after
667 fBins = splitRows[fSector + kNS*iSplit];
668 fResBins = splitRowsRes[fSector + kNS*iSplit];
669
670 fRowCl = new AliTPCClustersRow;
671 fRowCl->SetClass("AliTPCclusterMI");
672 fRowCl->SetArray(1);
673 fRowCl->SetID(fParam->GetIndex(fSector, iRow));
674 fOutput->GetBranch("Segment")->SetAddress(&fRowCl);
675
676 FindClusters();
677
678 fOutput->Fill();
679 delete fRowCl;
680 nclusters += fNcluster;
681 delete[] fBins;
682 delete[] fResBins;
683 }
684
685 delete[] splitRows;
686 delete[] splitRowsRes;
687 Info("Digits2Clusters", "Number of found clusters : %d\n", nclusters);
688}
689
690void AliTPCclustererMI::FindClusters()
691{
692 //add virtual charge at the edge
693 for (Int_t i=0; i<fMaxTime; i++){
694 Float_t amp1 = fBins[i+3*fMaxTime];
695 Float_t amp0 =0;
696 if (amp1>0){
697 Float_t amp2 = fBins[i+4*fMaxTime];
698 if (amp2==0) amp2=0.5;
699 Float_t sigma2 = GetSigmaY2(i);
700 amp0 = (amp1*amp1/amp2)*TMath::Exp(-1./sigma2);
701 if (gDebug>4) printf("\n%f\n",amp0);
702 }
13116aec 703 fBins[i+2*fMaxTime] = amp0;
f8aae377 704 amp0 = 0;
705 amp1 = fBins[(fMaxPad+2)*fMaxTime+i];
706 if (amp1>0){
707 Float_t amp2 = fBins[i+(fMaxPad+1)*fMaxTime];
708 if (amp2==0) amp2=0.5;
709 Float_t sigma2 = GetSigmaY2(i);
710 amp0 = (amp1*amp1/amp2)*TMath::Exp(-1./sigma2);
711 if (gDebug>4) printf("\n%f\n",amp0);
712 }
13116aec 713 fBins[(fMaxPad+3)*fMaxTime+i] = amp0;
f8aae377 714 }
715
716// memcpy(fResBins,fBins, fMaxBin*2);
717 memcpy(fResBins,fBins, fMaxBin);
718 //
719 fNcluster=0;
720 //first loop - for "gold cluster"
721 fLoop=1;
13116aec 722 Float_t *b=&fBins[-1]+2*fMaxTime;
753797ce 723 Int_t crtime = Int_t((fParam->GetZLength()-AliTPCReconstructor::GetCtgRange()*fRx)/fZWidth-fParam->GetNTBinsL1()-5);
f8aae377 724
725 for (Int_t i=2*fMaxTime; i<fMaxBin-2*fMaxTime; i++) {
726 b++;
727 if (*b<8) continue; //threshold form maxima
728 if (i%fMaxTime<crtime) {
729 Int_t delta = -(i%fMaxTime)+crtime;
730 b+=delta;
731 i+=delta;
732 continue;
733 }
734
735 if (!IsMaximum(*b,fMaxTime,b)) continue;
736 AliTPCclusterMI c;
737 Int_t dummy=0;
738 MakeCluster(i, fMaxTime, fBins, dummy,c);
739 //}
740 }
741 //memcpy(fBins,fResBins, fMaxBin*2);
742 //second loop - for rest cluster
743 /*
744 fLoop=2;
745 b=&fResBins[-1]+2*fMaxTime;
746 for (Int_t i=2*fMaxTime; i<fMaxBin-2*fMaxTime; i++) {
747 b++;
748 if (*b<25) continue; // bigger threshold for maxima
749 if (!IsMaximum(*b,fMaxTime,b)) continue;
750 AliTPCclusterMI c;
751 Int_t dummy;
752 MakeCluster(i, fMaxTime, fResBins, dummy,c);
753 //}
754 }
755 */
8569a2b0 756}