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 //-------------------------------------------------------
19 // Implementation of the TPC clusterer
21 // Origin: Marian Ivanov
22 //-------------------------------------------------------
24 #include "Riostream.h"
29 #include <TObjArray.h>
32 #include <TTreeStream.h>
34 #include "AliDigits.h"
35 #include "AliLoader.h"
37 #include "AliMathBase.h"
38 #include "AliRawEventHeaderBase.h"
39 #include "AliRawReader.h"
40 #include "AliRunLoader.h"
41 #include "AliSimDigits.h"
42 #include "AliTPCCalPad.h"
43 #include "AliTPCCalROC.h"
44 #include "AliTPCClustersArray.h"
45 #include "AliTPCClustersRow.h"
46 #include "AliTPCParam.h"
47 #include "AliTPCRawStream.h"
48 #include "AliTPCRecoParam.h"
49 #include "AliTPCReconstructor.h"
50 #include "AliTPCcalibDB.h"
51 #include "AliTPCclusterInfo.h"
52 #include "AliTPCclusterMI.h"
53 #include "AliTPCTransform.h"
54 #include "AliTPCclustererMI.h"
56 ClassImp(AliTPCclustererMI)
60 AliTPCclustererMI::AliTPCclustererMI(const AliTPCParam* par, const AliTPCRecoParam * recoParam):
75 fPedSubtraction(kFALSE),
76 fIsOldRCUFormat(kFALSE),
92 // param - tpc parameters for given file
93 // recoparam - reconstruction parameters
95 fIsOldRCUFormat = kFALSE;
100 fRecoParam = recoParam;
102 //set default parameters if not specified
103 fRecoParam = AliTPCReconstructor::GetRecoParam();
104 if (!fRecoParam) fRecoParam = AliTPCRecoParam::GetLowFluxParam();
106 fDebugStreamer = new TTreeSRedirector("TPCsignal.root");
107 Int_t nPoints = fRecoParam->GetLastBin()-fRecoParam->GetFirstBin();
109 //______________________________________________________________
110 AliTPCclustererMI::AliTPCclustererMI(const AliTPCclustererMI ¶m)
126 fPedSubtraction(kFALSE),
127 fIsOldRCUFormat(kFALSE),
144 fMaxBin = param.fMaxBin;
146 //______________________________________________________________
147 AliTPCclustererMI & AliTPCclustererMI::operator =(const AliTPCclustererMI & param)
150 // assignment operator - dummy
152 fMaxBin=param.fMaxBin;
155 //______________________________________________________________
156 AliTPCclustererMI::~AliTPCclustererMI(){
157 if (fDebugStreamer) delete fDebugStreamer;
160 void AliTPCclustererMI::SetInput(TTree * tree)
163 // set input tree with digits
166 if (!fInput->GetBranch("Segment")){
167 cerr<<"AliTPC::Digits2Clusters(): no porper input tree !\n";
173 void AliTPCclustererMI::SetOutput(TTree * tree)
178 AliTPCClustersRow clrow;
179 AliTPCClustersRow *pclrow=&clrow;
180 clrow.SetClass("AliTPCclusterMI");
181 clrow.SetArray(1); // to make Clones array
182 fOutput->Branch("Segment","AliTPCClustersRow",&pclrow,32000,200);
186 Float_t AliTPCclustererMI::GetSigmaY2(Int_t iz){
187 // sigma y2 = in digits - we don't know the angle
188 Float_t z = iz*fParam->GetZWidth()+fParam->GetNTBinsL1()*fParam->GetZWidth();
189 Float_t sd2 = (z*fParam->GetDiffL()*fParam->GetDiffL())/
190 (fPadWidth*fPadWidth);
192 Float_t res = sd2+sres;
197 Float_t AliTPCclustererMI::GetSigmaZ2(Int_t iz){
198 //sigma z2 = in digits - angle estimated supposing vertex constraint
199 Float_t z = iz*fZWidth+fParam->GetNTBinsL1()*fParam->GetZWidth();
200 Float_t sd2 = (z*fParam->GetDiffL()*fParam->GetDiffL())/(fZWidth*fZWidth);
201 Float_t angular = fPadLength*(fParam->GetZLength(fSector)-z)/(fRx*fZWidth);
204 Float_t sres = fParam->GetZSigma()/fZWidth;
206 Float_t res = angular +sd2+sres;
210 void AliTPCclustererMI::MakeCluster(Int_t k,Int_t max,Float_t *bins, UInt_t /*m*/,
214 // k - Make cluster at position k
215 // bins - 2 D array of signals mapped to 1 dimensional array -
216 // max - the number of time bins er one dimension
217 // c - refernce to cluster to be filled
219 Int_t i0=k/max; //central pad
220 Int_t j0=k%max; //central time bin
222 // set pointers to data
223 //Int_t dummy[5] ={0,0,0,0,0};
224 Float_t * matrix[5]; //5x5 matrix with digits - indexing i = 0 ..4 j = -2..2
225 for (Int_t di=-2;di<=2;di++){
226 matrix[di+2] = &bins[k+di*max];
228 //build matrix with virtual charge
229 Float_t sigmay2= GetSigmaY2(j0);
230 Float_t sigmaz2= GetSigmaZ2(j0);
232 Float_t vmatrix[5][5];
233 vmatrix[2][2] = matrix[2][0];
235 c.SetMax((UShort_t)(vmatrix[2][2])); // write maximal amplitude
236 for (Int_t di =-1;di <=1;di++)
237 for (Int_t dj =-1;dj <=1;dj++){
238 Float_t amp = matrix[di+2][dj];
239 if ( (amp<2) && (fLoop<2)){
240 // if under threshold - calculate virtual charge
241 Float_t ratio = TMath::Exp(-1.2*TMath::Abs(di)/sigmay2)*TMath::Exp(-1.2*TMath::Abs(dj)/sigmaz2);
242 amp = ((matrix[2][0]-2)*(matrix[2][0]-2)/(matrix[-di+2][-dj]+2))*ratio;
244 vmatrix[2+di][2+dj]=amp;
245 vmatrix[2+2*di][2+2*dj]=0;
248 vmatrix[2+2*di][2+dj] =0;
249 vmatrix[2+di][2+2*dj] =0;
254 //if small amplitude - below 2 x threshold - don't consider other one
255 vmatrix[2+di][2+dj]=amp;
256 vmatrix[2+2*di][2+2*dj]=0; // don't take to the account next bin
259 vmatrix[2+2*di][2+dj] =0;
260 vmatrix[2+di][2+2*dj] =0;
264 //if bigger then take everything
265 vmatrix[2+di][2+dj]=amp;
266 vmatrix[2+2*di][2+2*dj]= matrix[2*di+2][2*dj] ;
269 vmatrix[2+2*di][2+dj] = matrix[2*di+2][dj];
270 vmatrix[2+di][2+2*dj] = matrix[2+di][dj*2];
282 for (Int_t i=-2;i<=2;i++)
283 for (Int_t j=-2;j<=2;j++){
284 Float_t amp = vmatrix[i+2][j+2];
293 Float_t meani = sumiw/sumw;
294 Float_t mi2 = sumi2w/sumw-meani*meani;
295 Float_t meanj = sumjw/sumw;
296 Float_t mj2 = sumj2w/sumw-meanj*meanj;
298 Float_t ry = mi2/sigmay2;
299 Float_t rz = mj2/sigmaz2;
302 if ( ( (ry<0.6) || (rz<0.6) ) && fLoop==2) return;
303 if ( (ry <1.2) && (rz<1.2) || (!fRecoParam->GetDoUnfold())) {
305 //if cluster looks like expected or Unfolding not switched on
306 //standard COG is used
307 //+1.2 deviation from expected sigma accepted
308 // c.fMax = FitMax(vmatrix,meani,meanj,TMath::Sqrt(sigmay2),TMath::Sqrt(sigmaz2));
312 //set cluster parameters
315 c.SetTimeBin(meanj-3);
319 AddCluster(c,(Float_t*)vmatrix,k);
323 //unfolding when neccessary
326 Float_t * matrix2[7]; //7x7 matrix with digits - indexing i = 0 ..6 j = -3..3
327 Float_t dummy[7]={0,0,0,0,0,0};
328 for (Int_t di=-3;di<=3;di++){
329 matrix2[di+3] = &bins[k+di*max];
330 if ((k+di*max)<3) matrix2[di+3] = &dummy[3];
331 if ((k+di*max)>fMaxBin-3) matrix2[di+3] = &dummy[3];
333 Float_t vmatrix2[5][5];
336 UnfoldCluster(matrix2,vmatrix2,meani,meanj,sumu,overlap);
338 // c.fMax = FitMax(vmatrix2,meani,meanj,TMath::Sqrt(sigmay2),TMath::Sqrt(sigmaz2));
341 //set cluster parameters
344 c.SetTimeBin(meanj-3);
347 c.SetType(Char_t(overlap)+1);
348 AddCluster(c,(Float_t*)vmatrix,k);
354 printf("%f\t%f\n", vmatrix2[2][2], vmatrix[2][2]);
359 void AliTPCclustererMI::UnfoldCluster(Float_t * matrix2[7], Float_t recmatrix[5][5], Float_t & meani, Float_t & meanj,
360 Float_t & sumu, Float_t & overlap )
363 //unfold cluster from input matrix
364 //data corresponding to cluster writen in recmatrix
365 //output meani and meanj
367 //take separatelly y and z
369 Float_t sum3i[7] = {0,0,0,0,0,0,0};
370 Float_t sum3j[7] = {0,0,0,0,0,0,0};
372 for (Int_t k =0;k<7;k++)
373 for (Int_t l = -1; l<=1;l++){
374 sum3i[k]+=matrix2[k][l];
375 sum3j[k]+=matrix2[l+3][k-3];
377 Float_t mratio[3][3]={{1,1,1},{1,1,1},{1,1,1}};
380 Float_t sum3wi = 0; //charge minus overlap
381 Float_t sum3wio = 0; //full charge
382 Float_t sum3iw = 0; //sum for mean value
383 for (Int_t dk=-1;dk<=1;dk++){
384 sum3wio+=sum3i[dk+3];
390 if ( ( ((sum3i[dk+3]+3)/(sum3i[3]-3))+1 < (sum3i[2*dk+3]-3)/(sum3i[dk+3]+3))||
391 sum3i[dk+3]<=sum3i[2*dk+3] && sum3i[dk+3]>2 ){
392 Float_t xm2 = sum3i[-dk+3];
393 Float_t xm1 = sum3i[+3];
394 Float_t x1 = sum3i[2*dk+3];
395 Float_t x2 = sum3i[3*dk+3];
396 Float_t w11 = TMath::Max((Float_t)(4.*xm1-xm2),(Float_t)0.000001);
397 Float_t w12 = TMath::Max((Float_t)(4 *x1 -x2),(Float_t)0.);
398 ratio = w11/(w11+w12);
399 for (Int_t dl=-1;dl<=1;dl++)
400 mratio[dk+1][dl+1] *= ratio;
402 Float_t amp = sum3i[dk+3]*ratio;
407 meani = sum3iw/sum3wi;
408 Float_t overlapi = (sum3wio-sum3wi)/sum3wio;
413 Float_t sum3wj = 0; //charge minus overlap
414 Float_t sum3wjo = 0; //full charge
415 Float_t sum3jw = 0; //sum for mean value
416 for (Int_t dk=-1;dk<=1;dk++){
417 sum3wjo+=sum3j[dk+3];
423 if ( ( ((sum3j[dk+3]+3)/(sum3j[3]-3))+1 < (sum3j[2*dk+3]-3)/(sum3j[dk+3]+3)) ||
424 (sum3j[dk+3]<=sum3j[2*dk+3] && sum3j[dk+3]>2)){
425 Float_t xm2 = sum3j[-dk+3];
426 Float_t xm1 = sum3j[+3];
427 Float_t x1 = sum3j[2*dk+3];
428 Float_t x2 = sum3j[3*dk+3];
429 Float_t w11 = TMath::Max((Float_t)(4.*xm1-xm2),(Float_t)0.000001);
430 Float_t w12 = TMath::Max((Float_t)(4 *x1 -x2),(Float_t)0.);
431 ratio = w11/(w11+w12);
432 for (Int_t dl=-1;dl<=1;dl++)
433 mratio[dl+1][dk+1] *= ratio;
435 Float_t amp = sum3j[dk+3]*ratio;
440 meanj = sum3jw/sum3wj;
441 Float_t overlapj = (sum3wjo-sum3wj)/sum3wjo;
442 overlap = Int_t(100*TMath::Max(overlapi,overlapj)+3);
443 sumu = (sum3wj+sum3wi)/2.;
446 //if not overlap detected remove everything
447 for (Int_t di =-2; di<=2;di++)
448 for (Int_t dj =-2; dj<=2;dj++){
449 recmatrix[di+2][dj+2] = matrix2[3+di][dj];
453 for (Int_t di =-1; di<=1;di++)
454 for (Int_t dj =-1; dj<=1;dj++){
456 if (mratio[di+1][dj+1]==1){
457 recmatrix[di+2][dj+2] = matrix2[3+di][dj];
458 if (TMath::Abs(di)+TMath::Abs(dj)>1){
459 recmatrix[2*di+2][dj+2] = matrix2[3+2*di][dj];
460 recmatrix[di+2][2*dj+2] = matrix2[3+di][2*dj];
462 recmatrix[2*di+2][2*dj+2] = matrix2[3+2*di][2*dj];
466 //if we have overlap in direction
467 recmatrix[di+2][dj+2] = mratio[di+1][dj+1]* matrix2[3+di][dj];
468 if (TMath::Abs(di)+TMath::Abs(dj)>1){
469 ratio = TMath::Min((Float_t)(recmatrix[di+2][dj+2]/(matrix2[3+0*di][1*dj]+1)),(Float_t)1.);
470 recmatrix[2*di+2][dj+2] = ratio*recmatrix[di+2][dj+2];
472 ratio = TMath::Min((Float_t)(recmatrix[di+2][dj+2]/(matrix2[3+1*di][0*dj]+1)),(Float_t)1.);
473 recmatrix[di+2][2*dj+2] = ratio*recmatrix[di+2][dj+2];
476 ratio = recmatrix[di+2][dj+2]/matrix2[3][0];
477 recmatrix[2*di+2][2*dj+2] = ratio*recmatrix[di+2][dj+2];
483 printf("%f\n", recmatrix[2][2]);
487 Float_t AliTPCclustererMI::FitMax(Float_t vmatrix[5][5], Float_t y, Float_t z, Float_t sigmay, Float_t sigmaz)
494 for (Int_t di = -1;di<=1;di++)
495 for (Int_t dj = -1;dj<=1;dj++){
496 if (vmatrix[2+di][2+dj]>2){
497 Float_t teor = TMath::Gaus(di,y,sigmay*1.2)*TMath::Gaus(dj,z,sigmaz*1.2);
498 sumteor += teor*vmatrix[2+di][2+dj];
499 sumamp += vmatrix[2+di][2+dj]*vmatrix[2+di][2+dj];
502 Float_t max = sumamp/sumteor;
506 void AliTPCclustererMI::AddCluster(AliTPCclusterMI &c, Float_t * matrix, Int_t pos){
509 // Transform cluster to the rotated global coordinata
510 // Assign labels to the cluster
511 // add the cluster to the array
512 // for more details - See AliTPCTranform::Transform(x,i,0,1)
513 Float_t meani = c.GetPad();
514 Float_t meanj = c.GetTimeBin();
516 Int_t ki = TMath::Nint(meani);
518 if (ki>=fMaxPad) ki = fMaxPad-1;
519 Int_t kj = TMath::Nint(meanj);
521 if (kj>=fMaxTime-3) kj=fMaxTime-4;
522 // ki and kj shifted as integers coordinata
524 c.SetLabel(fRowDig->GetTrackIDFast(kj,ki,0)-2,0);
525 c.SetLabel(fRowDig->GetTrackIDFast(kj,ki,1)-2,1);
526 c.SetLabel(fRowDig->GetTrackIDFast(kj,ki,2)-2,2);
530 c.SetDetector(fSector);
531 Float_t s2 = c.GetSigmaY2();
532 Float_t w=fParam->GetPadPitchWidth(fSector);
533 c.SetSigmaY2(s2*w*w);
535 c.SetSigmaZ2(s2*fZWidth*fZWidth);
539 AliTPCTransform *transform = AliTPCcalibDB::Instance()->GetTransform() ;
541 AliFatal("Tranformations not in calibDB");
543 Double_t x[3]={c.GetRow(),c.GetPad(),c.GetTimeBin()};
544 Int_t i[1]={fSector};
545 transform->Transform(x,i,0,1);
551 if (!fRecoParam->GetBYMirror()){
557 if (ki<=1 || ki>=fMaxPad-1 || kj==1 || kj==fMaxTime-2) {
558 c.SetType(-(c.GetType()+3)); //edge clusters
560 if (fLoop==2) c.SetType(100);
562 TClonesArray * arr = fRowCl->GetArray();
563 AliTPCclusterMI * cl = new ((*arr)[fNcluster]) AliTPCclusterMI(c);
564 if (fRecoParam->DumpSignal() &&matrix ) {
567 if (fRecoParam->GetCalcPedestal() && cl->GetMax()>fRecoParam->GetDumpAmplitudeMin() &&fBDumpSignal){
569 graph = &(fBins[fMaxTime*(pos/fMaxTime)]);
571 AliTPCclusterInfo * info = new AliTPCclusterInfo(matrix,nbins,graph);
574 if (!fRecoParam->DumpSignal()) {
582 //_____________________________________________________________________________
583 void AliTPCclustererMI::Digits2Clusters()
585 //-----------------------------------------------------------------
586 // This is a simple cluster finder.
587 //-----------------------------------------------------------------
590 Error("Digits2Clusters", "input tree not initialised");
595 Error("Digits2Clusters", "output tree not initialised");
599 AliTPCCalPad * gainTPC = AliTPCcalibDB::Instance()->GetPadGainFactor();
600 AliTPCCalPad * noiseTPC = AliTPCcalibDB::Instance()->GetPadNoise();
601 AliSimDigits digarr, *dummy=&digarr;
603 fInput->GetBranch("Segment")->SetAddress(&dummy);
604 Stat_t nentries = fInput->GetEntries();
606 fMaxTime=fRecoParam->GetLastBin()+6; // add 3 virtual time bins before and 3 after
610 for (Int_t n=0; n<nentries; n++) {
612 if (!fParam->AdjustSectorRow(digarr.GetID(),fSector,fRow)) {
613 cerr<<"AliTPC warning: invalid segment ID ! "<<digarr.GetID()<<endl;
617 AliTPCCalROC * gainROC = gainTPC->GetCalROC(fSector); // pad gains per given sector
618 AliTPCCalROC * noiseROC = noiseTPC->GetCalROC(fSector); // noise per given sector
620 AliTPCClustersRow *clrow= new AliTPCClustersRow();
622 clrow->SetClass("AliTPCclusterMI");
625 clrow->SetID(digarr.GetID());
626 fOutput->GetBranch("Segment")->SetAddress(&clrow);
627 fRx=fParam->GetPadRowRadii(fSector,row);
630 const Int_t kNIS=fParam->GetNInnerSector(), kNOS=fParam->GetNOuterSector();
631 fZWidth = fParam->GetZWidth();
632 if (fSector < kNIS) {
633 fMaxPad = fParam->GetNPadsLow(row);
634 fSign = (fSector < kNIS/2) ? 1 : -1;
635 fPadLength = fParam->GetPadPitchLength(fSector,row);
636 fPadWidth = fParam->GetPadPitchWidth();
638 fMaxPad = fParam->GetNPadsUp(row);
639 fSign = ((fSector-kNIS) < kNOS/2) ? 1 : -1;
640 fPadLength = fParam->GetPadPitchLength(fSector,row);
641 fPadWidth = fParam->GetPadPitchWidth();
645 fMaxBin=fMaxTime*(fMaxPad+6); // add 3 virtual pads before and 3 after
646 fBins =new Float_t[fMaxBin];
647 fSigBins =new Int_t[fMaxBin];
649 memset(fBins,0,sizeof(Float_t)*fMaxBin);
651 if (digarr.First()) //MI change
653 Float_t dig=digarr.CurrentDigit();
654 if (dig<=fParam->GetZeroSup()) continue;
655 Int_t j=digarr.CurrentRow()+3, i=digarr.CurrentColumn()+3;
656 Float_t gain = gainROC->GetValue(row,digarr.CurrentColumn());
657 Int_t bin = i*fMaxTime+j;
659 fSigBins[fNSigBins++]=bin;
660 } while (digarr.Next());
661 digarr.ExpandTrackBuffer();
663 FindClusters(noiseROC);
667 nclusters+=fNcluster;
672 Info("Digits2Clusters", "Number of found clusters : %d", nclusters);
675 void AliTPCclustererMI::Digits2Clusters(AliRawReader* rawReader)
677 //-----------------------------------------------------------------
678 // This is a cluster finder for the TPC raw data.
679 // The method assumes NO ordering of the altro channels.
680 // The pedestal subtraction can be switched on and off
681 // using an option of the TPC reconstructor
682 //-----------------------------------------------------------------
685 Error("Digits2Clusters", "output tree not initialised");
690 AliTPCROC * roc = AliTPCROC::Instance();
691 AliTPCCalPad * gainTPC = AliTPCcalibDB::Instance()->GetPadGainFactor();
692 AliTPCCalPad * pedestalTPC = AliTPCcalibDB::Instance()->GetPedestals();
693 AliTPCCalPad * noiseTPC = AliTPCcalibDB::Instance()->GetPadNoise();
694 AliTPCAltroMapping** mapping =AliTPCcalibDB::Instance()->GetMapping();
696 AliTPCRawStream input(rawReader,(AliAltroMapping**)mapping);
697 fEventHeader = (AliRawEventHeaderBase*)rawReader->GetEventHeader();
699 fTimeStamp = fEventHeader->Get("Timestamp");
700 fEventType = fEventHeader->Get("Type");
706 fMaxTime = fRecoParam->GetLastBin() + 6; // add 3 virtual time bins before and 3 after
707 const Int_t kNIS = fParam->GetNInnerSector();
708 const Int_t kNOS = fParam->GetNOuterSector();
709 const Int_t kNS = kNIS + kNOS;
710 fZWidth = fParam->GetZWidth();
711 Int_t zeroSup = fParam->GetZeroSup();
713 //alocate memory for sector - maximal case
715 Float_t** allBins = NULL;
716 Int_t** allSigBins = NULL;
717 Int_t* allNSigBins = NULL;
718 Int_t nRowsMax = roc->GetNRows(roc->GetNSector()-1);
719 Int_t nPadsMax = roc->GetNPads(roc->GetNSector()-1,nRowsMax-1);
720 allBins = new Float_t*[nRowsMax];
721 allSigBins = new Int_t*[nRowsMax];
722 allNSigBins = new Int_t[nRowsMax];
723 for (Int_t iRow = 0; iRow < nRowsMax; iRow++) {
725 Int_t maxBin = fMaxTime*(nPadsMax+6); // add 3 virtual pads before and 3 after
726 allBins[iRow] = new Float_t[maxBin];
727 memset(allBins[iRow],0,sizeof(Float_t)*maxBin);
728 allSigBins[iRow] = new Int_t[maxBin];
734 for(fSector = 0; fSector < kNS; fSector++) {
736 AliTPCCalROC * gainROC = gainTPC->GetCalROC(fSector); // pad gains per given sector
737 AliTPCCalROC * pedestalROC = pedestalTPC->GetCalROC(fSector); // pedestal per given sector
738 AliTPCCalROC * noiseROC = noiseTPC->GetCalROC(fSector); // noise per given sector
739 //check the presence of the calibration
740 if (!noiseROC ||!pedestalROC ) {
741 AliError(Form("Missing calibration per sector\t%d\n",fSector));
745 Int_t nDDLs = 0, indexDDL = 0;
746 if (fSector < kNIS) {
747 nRows = fParam->GetNRowLow();
748 fSign = (fSector < kNIS/2) ? 1 : -1;
750 indexDDL = fSector * 2;
753 nRows = fParam->GetNRowUp();
754 fSign = ((fSector-kNIS) < kNOS/2) ? 1 : -1;
756 indexDDL = (fSector-kNIS) * 4 + kNIS * 2;
759 for (Int_t iRow = 0; iRow < nRows; iRow++) {
762 maxPad = fParam->GetNPadsLow(iRow);
764 maxPad = fParam->GetNPadsUp(iRow);
766 Int_t maxBin = fMaxTime*(maxPad+6); // add 3 virtual pads before and 3 after
767 memset(allBins[iRow],0,sizeof(Float_t)*maxBin);
768 allNSigBins[iRow] = 0;
771 // Loas the raw data for corresponding DDLs
773 input.SetOldRCUFormat(fIsOldRCUFormat);
774 rawReader->Select("TPC",indexDDL,indexDDL+nDDLs-1);
776 // Begin loop over altro data
777 Bool_t calcPedestal = fRecoParam->GetCalcPedestal();
780 while (input.Next()) {
781 if (input.GetSector() != fSector)
782 AliFatal(Form("Sector index mismatch ! Expected (%d), but got (%d) !",fSector,input.GetSector()));
785 Int_t iRow = input.GetRow();
786 if (iRow < 0 || iRow >= nRows){
787 AliError(Form("Pad-row index (%d) outside the range (%d -> %d) !",
792 Int_t iPad = input.GetPad();
793 if (iPad < 0 || iPad >= nPadsMax) {
794 AliError(Form("Pad index (%d) outside the range (%d -> %d) !",
795 iPad, 0, nPadsMax-1));
799 gain = gainROC->GetValue(iRow,iPad);
804 Int_t iTimeBin = input.GetTime();
805 if ( iTimeBin < fRecoParam->GetFirstBin() || iTimeBin >= fRecoParam->GetLastBin()){
807 AliFatal(Form("Timebin index (%d) outside the range (%d -> %d) !",
808 iTimeBin, 0, iTimeBin -1));
813 Float_t signal = input.GetSignal();
814 if (!calcPedestal && signal <= zeroSup) continue;
816 Int_t bin = iPad*fMaxTime+iTimeBin;
817 allBins[iRow][bin] = signal/gain;
818 allSigBins[iRow][allNSigBins[iRow]++] = bin;
820 allBins[iRow][iPad*fMaxTime+iTimeBin] = signal;
822 allBins[iRow][iPad*fMaxTime+0]+=1.; // pad with signal
826 } // End of the loop over altro data
831 // Now loop over rows and perform pedestal subtraction
832 if (digCounter==0) continue;
833 // if (calcPedestal) {
835 for (Int_t iRow = 0; iRow < nRows; iRow++) {
838 maxPad = fParam->GetNPadsLow(iRow);
840 maxPad = fParam->GetNPadsUp(iRow);
842 for (Int_t iPad = 3; iPad < maxPad + 3; iPad++) {
844 // Temporary fix for data production - !!!! MARIAN
845 // The noise calibration should take mean and RMS - currently the Gaussian fit used
846 // In case of double peak - the pad should be rejected
848 // Line mean - if more than given digits over threshold - make a noise calculation
849 // and pedestal substration
850 if (!calcPedestal && allBins[iRow][iPad*fMaxTime+0]<50) continue;
852 if (allBins[iRow][iPad*fMaxTime+0] <1 ) continue; // no data
853 Float_t *p = &allBins[iRow][iPad*fMaxTime+3];
854 //Float_t pedestal = TMath::Median(fMaxTime, p);
855 Int_t id[3] = {fSector, iRow, iPad-3};
857 Double_t rmsCalib= noiseROC->GetValue(iRow,iPad-3);
858 Double_t pedestalCalib = pedestalROC->GetValue(iRow,iPad-3);
859 Double_t rmsEvent = rmsCalib;
860 Double_t pedestalEvent = pedestalCalib;
861 ProcesSignal(p, fMaxTime, id, rmsEvent, pedestalEvent);
862 if (rmsEvent<rmsCalib) rmsEvent = rmsCalib; // take worst scenario
863 if (TMath::Abs(pedestalEvent-pedestalCalib)<1.0) pedestalEvent = pedestalCalib;
866 for (Int_t iTimeBin = 0; iTimeBin < fMaxTime; iTimeBin++) {
867 Int_t bin = iPad*fMaxTime+iTimeBin;
868 allBins[iRow][bin] -= pedestalEvent;
869 if (iTimeBin < AliTPCReconstructor::GetRecoParam()->GetFirstBin())
870 allBins[iRow][bin] = 0;
871 if (iTimeBin > AliTPCReconstructor::GetRecoParam()->GetLastBin())
872 allBins[iRow][bin] = 0;
873 if (allBins[iRow][iPad*fMaxTime+iTimeBin] < zeroSup)
874 allBins[iRow][bin] = 0;
875 if (allBins[iRow][bin] < 3.0*rmsEvent) // 3 sigma cut on RMS
876 allBins[iRow][bin] = 0;
877 if (allBins[iRow][bin]) allSigBins[iRow][allNSigBins[iRow]++] = bin;
882 // Now loop over rows and find clusters
883 for (fRow = 0; fRow < nRows; fRow++) {
884 fRowCl = new AliTPCClustersRow;
885 fRowCl->SetClass("AliTPCclusterMI");
887 fRowCl->SetID(fParam->GetIndex(fSector, fRow));
888 fOutput->GetBranch("Segment")->SetAddress(&fRowCl);
890 fRx = fParam->GetPadRowRadii(fSector, fRow);
891 fPadLength = fParam->GetPadPitchLength(fSector, fRow);
892 fPadWidth = fParam->GetPadPitchWidth();
894 fMaxPad = fParam->GetNPadsLow(fRow);
896 fMaxPad = fParam->GetNPadsUp(fRow);
897 fMaxBin = fMaxTime*(fMaxPad+6); // add 3 virtual pads before and 3 after
899 fBins = allBins[fRow];
900 fSigBins = allSigBins[fRow];
901 fNSigBins = allNSigBins[fRow];
903 FindClusters(noiseROC);
907 nclusters += fNcluster;
908 } // End of loop to find clusters
909 } // End of loop over sectors
911 for (Int_t iRow = 0; iRow < nRowsMax; iRow++) {
912 delete [] allBins[iRow];
913 delete [] allSigBins[iRow];
916 delete [] allSigBins;
917 delete [] allNSigBins;
919 if (rawReader->GetEventId() && fOutput ){
920 Info("Digits2Clusters", "File %s Event\t%d\tNumber of found clusters : %d\n", fOutput->GetName(),*(rawReader->GetEventId()), nclusters);
925 void AliTPCclustererMI::FindClusters(AliTPCCalROC * noiseROC)
929 // add virtual charge at the edge
931 Double_t kMaxDumpSize = 500000;
932 if (fRecoParam->GetCalcPedestal() && fOutput->GetZipBytes()< kMaxDumpSize) fBDumpSignal =kTRUE; //dump signal flag
936 Int_t crtime = Int_t((fParam->GetZLength(fSector)-fRecoParam->GetCtgRange()*fRx)/fZWidth-fParam->GetNTBinsL1()-5);
937 Float_t minMaxCutAbs = fRecoParam->GetMinMaxCutAbs();
938 Float_t minLeftRightCutAbs = fRecoParam->GetMinLeftRightCutAbs();
939 Float_t minUpDownCutAbs = fRecoParam->GetMinUpDownCutAbs();
940 Float_t minMaxCutSigma = fRecoParam->GetMinMaxCutSigma();
941 Float_t minLeftRightCutSigma = fRecoParam->GetMinLeftRightCutSigma();
942 Float_t minUpDownCutSigma = fRecoParam->GetMinUpDownCutSigma();
943 for (Int_t iSig = 0; iSig < fNSigBins; iSig++) {
944 Int_t i = fSigBins[iSig];
945 if (i%fMaxTime<=crtime) continue;
946 Float_t *b = &fBins[i];
948 if (b[0]<minMaxCutAbs) continue; //threshold for maxima
950 if (b[-1]+b[1]+b[-fMaxTime]+b[fMaxTime]<=0) continue; // cut on isolated clusters
951 if (b[-1]+b[1]<=0) continue; // cut on isolated clusters
952 if (b[-fMaxTime]+b[fMaxTime]<=0) continue; // cut on isolated clusters
954 if ((b[0]+b[-1]+b[1])<minUpDownCutAbs) continue; //threshold for up down (TRF)
955 if ((b[0]+b[-fMaxTime]+b[fMaxTime])<minLeftRightCutAbs) continue; //threshold for left right (PRF)
956 if (!IsMaximum(*b,fMaxTime,b)) continue;
958 Float_t noise = noiseROC->GetValue(fRow, i/fMaxTime);
959 if (noise>fRecoParam->GetMaxNoise()) continue;
961 if (b[0]<minMaxCutSigma*noise) continue; //threshold form maxima
962 if ((b[0]+b[-1]+b[1])<minUpDownCutSigma*noise) continue; //threshold for up town TRF
963 if ((b[0]+b[-fMaxTime]+b[fMaxTime])<minLeftRightCutSigma*noise) continue; //threshold for left right (PRF)
965 AliTPCclusterMI c(kFALSE); // default cosntruction without info
967 MakeCluster(i, fMaxTime, fBins, dummy,c);
974 Double_t AliTPCclustererMI::ProcesSignal(Float_t *signal, Int_t nchannels, Int_t id[3], Double_t &rmsEvent, Double_t &pedestalEvent){
976 // process signal on given pad - + streaming of additional information in special mode
983 // ESTIMATE pedestal and the noise
985 const Int_t kPedMax = 100;
986 Double_t kMaxDebugSize = 5000000.;
992 Float_t rmsCalib = rmsEvent; // backup initial value ( from calib)
993 Float_t pedestalCalib = pedestalEvent;// backup initial value ( from calib)
994 Int_t firstBin = AliTPCReconstructor::GetRecoParam()->GetFirstBin();
996 UShort_t histo[kPedMax];
997 memset(histo,0,kPedMax*sizeof(UShort_t));
998 for (Int_t i=0; i<fMaxTime; i++){
999 if (signal[i]<=0) continue;
1000 if (signal[i]>max && i>firstBin) {
1004 if (signal[i]>kPedMax-1) continue;
1005 histo[int(signal[i]+0.5)]++;
1009 for (Int_t i=1; i<kPedMax; i++){
1010 if (count1<count0*0.5) median=i;
1015 Float_t count10=histo[median] ,mean=histo[median]*median, rms=histo[median]*median*median ;
1016 Float_t count06=histo[median] ,mean06=histo[median]*median, rms06=histo[median]*median*median ;
1017 Float_t count09=histo[median] ,mean09=histo[median]*median, rms09=histo[median]*median*median ;
1019 for (Int_t idelta=1; idelta<10; idelta++){
1020 if (median-idelta<=0) continue;
1021 if (median+idelta>kPedMax) continue;
1022 if (count06<0.6*count1){
1023 count06+=histo[median-idelta];
1024 mean06 +=histo[median-idelta]*(median-idelta);
1025 rms06 +=histo[median-idelta]*(median-idelta)*(median-idelta);
1026 count06+=histo[median+idelta];
1027 mean06 +=histo[median+idelta]*(median+idelta);
1028 rms06 +=histo[median+idelta]*(median+idelta)*(median+idelta);
1030 if (count09<0.9*count1){
1031 count09+=histo[median-idelta];
1032 mean09 +=histo[median-idelta]*(median-idelta);
1033 rms09 +=histo[median-idelta]*(median-idelta)*(median-idelta);
1034 count09+=histo[median+idelta];
1035 mean09 +=histo[median+idelta]*(median+idelta);
1036 rms09 +=histo[median+idelta]*(median+idelta)*(median+idelta);
1038 if (count10<0.95*count1){
1039 count10+=histo[median-idelta];
1040 mean +=histo[median-idelta]*(median-idelta);
1041 rms +=histo[median-idelta]*(median-idelta)*(median-idelta);
1042 count10+=histo[median+idelta];
1043 mean +=histo[median+idelta]*(median+idelta);
1044 rms +=histo[median+idelta]*(median+idelta)*(median+idelta);
1049 rms = TMath::Sqrt(TMath::Abs(rms/count10-mean*mean));
1053 rms06 = TMath::Sqrt(TMath::Abs(rms06/count06-mean06*mean06));
1057 rms09 = TMath::Sqrt(TMath::Abs(rms09/count09-mean09*mean09));
1061 pedestalEvent = median;
1062 if (AliLog::GetDebugLevel("","AliTPCclustererMI")==0) return median;
1064 UInt_t uid[3] = {UInt_t(id[0]),UInt_t(id[1]),UInt_t(id[2])};
1066 // Dump mean signal info
1068 (*fDebugStreamer)<<"Signal"<<
1069 "TimeStamp="<<fTimeStamp<<
1070 "EventType="<<fEventType<<
1084 "RMSCalib="<<rmsCalib<<
1085 "PedCalib="<<pedestalCalib<<
1088 // fill pedestal histogram
1090 AliTPCROC * roc = AliTPCROC::Instance();
1095 Float_t kMin =fRecoParam->GetDumpAmplitudeMin(); // minimal signal to be dumped
1096 Float_t *dsignal = new Float_t[nchannels];
1097 Float_t *dtime = new Float_t[nchannels];
1098 for (Int_t i=0; i<nchannels; i++){
1100 dsignal[i] = signal[i];
1105 // Big signals dumping
1107 if (max-median>kMin &&maxPos>AliTPCReconstructor::GetRecoParam()->GetFirstBin())
1108 (*fDebugStreamer)<<"SignalB"<< // pads with signal
1109 "TimeStamp="<<fTimeStamp<<
1110 "EventType="<<fEventType<<
1130 if (rms06>fRecoParam->GetMaxNoise()) {
1131 pedestalEvent+=1024.;
1132 return 1024+median; // sign noisy channel in debug mode