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 // 1. The Input data for reconstruction - Options
22 // 1.a Simulated data - TTree - invoked Digits2Clusters()
23 // 1.b Raw data - Digits2Clusters(AliRawReader* rawReader);
26 // 2.a TTree with clusters - if SetOutput(TTree * tree) invoked
27 // 2.b TObjArray - Faster option for HLT
28 // 2.c TClonesArray - Faster option for HLT (smaller memory consumption), activate with fBClonesArray flag
30 // 3. Reconstruction setup
31 // see AliTPCRecoParam for list of parameters
32 // The reconstruction parameterization taken from the
33 // AliTPCReconstructor::GetRecoParam()
34 // Possible to setup it in reconstruction macro AliTPCReconstructor::SetRecoParam(...)
38 // Origin: Marian Ivanov
39 //-------------------------------------------------------
41 #include "Riostream.h"
46 #include <TObjArray.h>
47 #include <TClonesArray.h>
50 #include <TTreeStream.h>
52 #include "AliDigits.h"
53 #include "AliLoader.h"
55 #include "AliMathBase.h"
56 #include "AliRawEventHeaderBase.h"
57 #include "AliRawReader.h"
58 #include "AliRunLoader.h"
59 #include "AliSimDigits.h"
60 #include "AliTPCCalPad.h"
61 #include "AliTPCCalROC.h"
62 #include "AliTPCClustersArray.h"
63 #include "AliTPCClustersRow.h"
64 #include "AliTPCParam.h"
65 #include "AliTPCRawStream.h"
66 #include "AliTPCRecoParam.h"
67 #include "AliTPCReconstructor.h"
68 #include "AliTPCcalibDB.h"
69 #include "AliTPCclusterInfo.h"
70 #include "AliTPCclusterMI.h"
71 #include "AliTPCTransform.h"
72 #include "AliTPCclustererMI.h"
74 ClassImp(AliTPCclustererMI)
78 AliTPCclustererMI::AliTPCclustererMI(const AliTPCParam* par, const AliTPCRecoParam * recoParam):
93 fPedSubtraction(kFALSE),
100 fOutputClonesArray(0),
108 fBDumpSignal(kFALSE),
109 fBClonesArray(kFALSE)
113 // param - tpc parameters for given file
114 // recoparam - reconstruction parameters
119 fRecoParam = recoParam;
121 //set default parameters if not specified
122 fRecoParam = AliTPCReconstructor::GetRecoParam();
123 if (!fRecoParam) fRecoParam = AliTPCRecoParam::GetLowFluxParam();
126 if(AliTPCReconstructor::StreamLevel()>0) {
127 fDebugStreamer = new TTreeSRedirector("TPCsignal.root");
130 // Int_t nPoints = fRecoParam->GetLastBin()-fRecoParam->GetFirstBin();
131 fRowCl= new AliTPCClustersRow();
132 fRowCl->SetClass("AliTPCclusterMI");
136 //______________________________________________________________
137 AliTPCclustererMI::AliTPCclustererMI(const AliTPCclustererMI ¶m)
153 fPedSubtraction(kFALSE),
160 fOutputClonesArray(0),
168 fBDumpSignal(kFALSE),
169 fBClonesArray(kFALSE)
174 fMaxBin = param.fMaxBin;
176 //______________________________________________________________
177 AliTPCclustererMI & AliTPCclustererMI::operator =(const AliTPCclustererMI & param)
180 // assignment operator - dummy
182 fMaxBin=param.fMaxBin;
185 //______________________________________________________________
186 AliTPCclustererMI::~AliTPCclustererMI(){
190 if (fDebugStreamer) delete fDebugStreamer;
192 //fOutputArray->Delete();
195 if (fOutputClonesArray){
196 fOutputClonesArray->Delete();
197 delete fOutputClonesArray;
201 void AliTPCclustererMI::SetInput(TTree * tree)
204 // set input tree with digits
207 if (!fInput->GetBranch("Segment")){
208 cerr<<"AliTPC::Digits2Clusters(): no porper input tree !\n";
214 void AliTPCclustererMI::SetOutput(TTree * tree)
217 // Set the output tree
218 // If not set the ObjArray used - Option for HLT
222 AliTPCClustersRow clrow;
223 AliTPCClustersRow *pclrow=&clrow;
224 clrow.SetClass("AliTPCclusterMI");
225 clrow.SetArray(1); // to make Clones array
226 fOutput->Branch("Segment","AliTPCClustersRow",&pclrow,32000,200);
230 void AliTPCclustererMI::FillRow(){
232 // fill the output container -
233 // 2 Options possible
237 if (fOutput) fOutput->Fill();
238 if (!fOutput && !fBClonesArray){
240 if (!fOutputArray) fOutputArray = new TObjArray(fParam->GetNRowsTotal());
241 if (fRowCl && fRowCl->GetArray()->GetEntriesFast()>0) fOutputArray->AddAt(fRowCl->Clone(), fRowCl->GetID());
245 Float_t AliTPCclustererMI::GetSigmaY2(Int_t iz){
246 // sigma y2 = in digits - we don't know the angle
247 Float_t z = iz*fParam->GetZWidth()+fParam->GetNTBinsL1()*fParam->GetZWidth();
248 Float_t sd2 = (z*fParam->GetDiffL()*fParam->GetDiffL())/
249 (fPadWidth*fPadWidth);
251 Float_t res = sd2+sres;
256 Float_t AliTPCclustererMI::GetSigmaZ2(Int_t iz){
257 //sigma z2 = in digits - angle estimated supposing vertex constraint
258 Float_t z = iz*fZWidth+fParam->GetNTBinsL1()*fParam->GetZWidth();
259 Float_t sd2 = (z*fParam->GetDiffL()*fParam->GetDiffL())/(fZWidth*fZWidth);
260 Float_t angular = fPadLength*(fParam->GetZLength(fSector)-z)/(fRx*fZWidth);
263 Float_t sres = fParam->GetZSigma()/fZWidth;
265 Float_t res = angular +sd2+sres;
269 void AliTPCclustererMI::MakeCluster(Int_t k,Int_t max,Float_t *bins, UInt_t /*m*/,
273 // k - Make cluster at position k
274 // bins - 2 D array of signals mapped to 1 dimensional array -
275 // max - the number of time bins er one dimension
276 // c - refernce to cluster to be filled
278 Int_t i0=k/max; //central pad
279 Int_t j0=k%max; //central time bin
281 // set pointers to data
282 //Int_t dummy[5] ={0,0,0,0,0};
283 Float_t * matrix[5]; //5x5 matrix with digits - indexing i = 0 ..4 j = -2..2
284 for (Int_t di=-2;di<=2;di++){
285 matrix[di+2] = &bins[k+di*max];
287 //build matrix with virtual charge
288 Float_t sigmay2= GetSigmaY2(j0);
289 Float_t sigmaz2= GetSigmaZ2(j0);
291 Float_t vmatrix[5][5];
292 vmatrix[2][2] = matrix[2][0];
294 c.SetMax((UShort_t)(vmatrix[2][2])); // write maximal amplitude
295 for (Int_t di =-1;di <=1;di++)
296 for (Int_t dj =-1;dj <=1;dj++){
297 Float_t amp = matrix[di+2][dj];
298 if ( (amp<2) && (fLoop<2)){
299 // if under threshold - calculate virtual charge
300 Float_t ratio = TMath::Exp(-1.2*TMath::Abs(di)/sigmay2)*TMath::Exp(-1.2*TMath::Abs(dj)/sigmaz2);
301 amp = ((matrix[2][0]-2)*(matrix[2][0]-2)/(matrix[-di+2][-dj]+2))*ratio;
303 vmatrix[2+di][2+dj]=amp;
304 vmatrix[2+2*di][2+2*dj]=0;
307 vmatrix[2+2*di][2+dj] =0;
308 vmatrix[2+di][2+2*dj] =0;
313 //if small amplitude - below 2 x threshold - don't consider other one
314 vmatrix[2+di][2+dj]=amp;
315 vmatrix[2+2*di][2+2*dj]=0; // don't take to the account next bin
318 vmatrix[2+2*di][2+dj] =0;
319 vmatrix[2+di][2+2*dj] =0;
323 //if bigger then take everything
324 vmatrix[2+di][2+dj]=amp;
325 vmatrix[2+2*di][2+2*dj]= matrix[2*di+2][2*dj] ;
328 vmatrix[2+2*di][2+dj] = matrix[2*di+2][dj];
329 vmatrix[2+di][2+2*dj] = matrix[2+di][dj*2];
341 for (Int_t i=-2;i<=2;i++)
342 for (Int_t j=-2;j<=2;j++){
343 Float_t amp = vmatrix[i+2][j+2];
352 Float_t meani = sumiw/sumw;
353 Float_t mi2 = sumi2w/sumw-meani*meani;
354 Float_t meanj = sumjw/sumw;
355 Float_t mj2 = sumj2w/sumw-meanj*meanj;
357 Float_t ry = mi2/sigmay2;
358 Float_t rz = mj2/sigmaz2;
361 if ( ( (ry<0.6) || (rz<0.6) ) && fLoop==2) return;
362 if ( (ry <1.2) && (rz<1.2) || (!fRecoParam->GetDoUnfold())) {
364 //if cluster looks like expected or Unfolding not switched on
365 //standard COG is used
366 //+1.2 deviation from expected sigma accepted
367 // c.fMax = FitMax(vmatrix,meani,meanj,TMath::Sqrt(sigmay2),TMath::Sqrt(sigmaz2));
371 //set cluster parameters
374 c.SetTimeBin(meanj-3);
378 AddCluster(c,(Float_t*)vmatrix,k);
382 //unfolding when neccessary
385 Float_t * matrix2[7]; //7x7 matrix with digits - indexing i = 0 ..6 j = -3..3
386 Float_t dummy[7]={0,0,0,0,0,0};
387 for (Int_t di=-3;di<=3;di++){
388 matrix2[di+3] = &bins[k+di*max];
389 if ((k+di*max)<3) matrix2[di+3] = &dummy[3];
390 if ((k+di*max)>fMaxBin-3) matrix2[di+3] = &dummy[3];
392 Float_t vmatrix2[5][5];
395 UnfoldCluster(matrix2,vmatrix2,meani,meanj,sumu,overlap);
397 // c.fMax = FitMax(vmatrix2,meani,meanj,TMath::Sqrt(sigmay2),TMath::Sqrt(sigmaz2));
400 //set cluster parameters
403 c.SetTimeBin(meanj-3);
406 c.SetType(Char_t(overlap)+1);
407 AddCluster(c,(Float_t*)vmatrix,k);
416 void AliTPCclustererMI::UnfoldCluster(Float_t * matrix2[7], Float_t recmatrix[5][5], Float_t & meani, Float_t & meanj,
417 Float_t & sumu, Float_t & overlap )
420 //unfold cluster from input matrix
421 //data corresponding to cluster writen in recmatrix
422 //output meani and meanj
424 //take separatelly y and z
426 Float_t sum3i[7] = {0,0,0,0,0,0,0};
427 Float_t sum3j[7] = {0,0,0,0,0,0,0};
429 for (Int_t k =0;k<7;k++)
430 for (Int_t l = -1; l<=1;l++){
431 sum3i[k]+=matrix2[k][l];
432 sum3j[k]+=matrix2[l+3][k-3];
434 Float_t mratio[3][3]={{1,1,1},{1,1,1},{1,1,1}};
437 Float_t sum3wi = 0; //charge minus overlap
438 Float_t sum3wio = 0; //full charge
439 Float_t sum3iw = 0; //sum for mean value
440 for (Int_t dk=-1;dk<=1;dk++){
441 sum3wio+=sum3i[dk+3];
447 if ( ( ((sum3i[dk+3]+3)/(sum3i[3]-3))+1 < (sum3i[2*dk+3]-3)/(sum3i[dk+3]+3))||
448 sum3i[dk+3]<=sum3i[2*dk+3] && sum3i[dk+3]>2 ){
449 Float_t xm2 = sum3i[-dk+3];
450 Float_t xm1 = sum3i[+3];
451 Float_t x1 = sum3i[2*dk+3];
452 Float_t x2 = sum3i[3*dk+3];
453 Float_t w11 = TMath::Max((Float_t)(4.*xm1-xm2),(Float_t)0.000001);
454 Float_t w12 = TMath::Max((Float_t)(4 *x1 -x2),(Float_t)0.);
455 ratio = w11/(w11+w12);
456 for (Int_t dl=-1;dl<=1;dl++)
457 mratio[dk+1][dl+1] *= ratio;
459 Float_t amp = sum3i[dk+3]*ratio;
464 meani = sum3iw/sum3wi;
465 Float_t overlapi = (sum3wio-sum3wi)/sum3wio;
470 Float_t sum3wj = 0; //charge minus overlap
471 Float_t sum3wjo = 0; //full charge
472 Float_t sum3jw = 0; //sum for mean value
473 for (Int_t dk=-1;dk<=1;dk++){
474 sum3wjo+=sum3j[dk+3];
480 if ( ( ((sum3j[dk+3]+3)/(sum3j[3]-3))+1 < (sum3j[2*dk+3]-3)/(sum3j[dk+3]+3)) ||
481 (sum3j[dk+3]<=sum3j[2*dk+3] && sum3j[dk+3]>2)){
482 Float_t xm2 = sum3j[-dk+3];
483 Float_t xm1 = sum3j[+3];
484 Float_t x1 = sum3j[2*dk+3];
485 Float_t x2 = sum3j[3*dk+3];
486 Float_t w11 = TMath::Max((Float_t)(4.*xm1-xm2),(Float_t)0.000001);
487 Float_t w12 = TMath::Max((Float_t)(4 *x1 -x2),(Float_t)0.);
488 ratio = w11/(w11+w12);
489 for (Int_t dl=-1;dl<=1;dl++)
490 mratio[dl+1][dk+1] *= ratio;
492 Float_t amp = sum3j[dk+3]*ratio;
497 meanj = sum3jw/sum3wj;
498 Float_t overlapj = (sum3wjo-sum3wj)/sum3wjo;
499 overlap = Int_t(100*TMath::Max(overlapi,overlapj)+3);
500 sumu = (sum3wj+sum3wi)/2.;
503 //if not overlap detected remove everything
504 for (Int_t di =-2; di<=2;di++)
505 for (Int_t dj =-2; dj<=2;dj++){
506 recmatrix[di+2][dj+2] = matrix2[3+di][dj];
510 for (Int_t di =-1; di<=1;di++)
511 for (Int_t dj =-1; dj<=1;dj++){
513 if (mratio[di+1][dj+1]==1){
514 recmatrix[di+2][dj+2] = matrix2[3+di][dj];
515 if (TMath::Abs(di)+TMath::Abs(dj)>1){
516 recmatrix[2*di+2][dj+2] = matrix2[3+2*di][dj];
517 recmatrix[di+2][2*dj+2] = matrix2[3+di][2*dj];
519 recmatrix[2*di+2][2*dj+2] = matrix2[3+2*di][2*dj];
523 //if we have overlap in direction
524 recmatrix[di+2][dj+2] = mratio[di+1][dj+1]* matrix2[3+di][dj];
525 if (TMath::Abs(di)+TMath::Abs(dj)>1){
526 ratio = TMath::Min((Float_t)(recmatrix[di+2][dj+2]/(matrix2[3+0*di][1*dj]+1)),(Float_t)1.);
527 recmatrix[2*di+2][dj+2] = ratio*recmatrix[di+2][dj+2];
529 ratio = TMath::Min((Float_t)(recmatrix[di+2][dj+2]/(matrix2[3+1*di][0*dj]+1)),(Float_t)1.);
530 recmatrix[di+2][2*dj+2] = ratio*recmatrix[di+2][dj+2];
533 ratio = recmatrix[di+2][dj+2]/matrix2[3][0];
534 recmatrix[2*di+2][2*dj+2] = ratio*recmatrix[di+2][dj+2];
542 Float_t AliTPCclustererMI::FitMax(Float_t vmatrix[5][5], Float_t y, Float_t z, Float_t sigmay, Float_t sigmaz)
549 for (Int_t di = -1;di<=1;di++)
550 for (Int_t dj = -1;dj<=1;dj++){
551 if (vmatrix[2+di][2+dj]>2){
552 Float_t teor = TMath::Gaus(di,y,sigmay*1.2)*TMath::Gaus(dj,z,sigmaz*1.2);
553 sumteor += teor*vmatrix[2+di][2+dj];
554 sumamp += vmatrix[2+di][2+dj]*vmatrix[2+di][2+dj];
557 Float_t max = sumamp/sumteor;
561 void AliTPCclustererMI::AddCluster(AliTPCclusterMI &c, Float_t * matrix, Int_t pos){
564 // Transform cluster to the rotated global coordinata
565 // Assign labels to the cluster
566 // add the cluster to the array
567 // for more details - See AliTPCTranform::Transform(x,i,0,1)
568 Float_t meani = c.GetPad();
569 Float_t meanj = c.GetTimeBin();
571 Int_t ki = TMath::Nint(meani);
573 if (ki>=fMaxPad) ki = fMaxPad-1;
574 Int_t kj = TMath::Nint(meanj);
576 if (kj>=fMaxTime-3) kj=fMaxTime-4;
577 // ki and kj shifted as integers coordinata
579 c.SetLabel(fRowDig->GetTrackIDFast(kj,ki,0)-2,0);
580 c.SetLabel(fRowDig->GetTrackIDFast(kj,ki,1)-2,1);
581 c.SetLabel(fRowDig->GetTrackIDFast(kj,ki,2)-2,2);
585 c.SetDetector(fSector);
586 Float_t s2 = c.GetSigmaY2();
587 Float_t w=fParam->GetPadPitchWidth(fSector);
588 c.SetSigmaY2(s2*w*w);
590 c.SetSigmaZ2(s2*fZWidth*fZWidth);
594 AliTPCTransform *transform = AliTPCcalibDB::Instance()->GetTransform() ;
596 AliFatal("Tranformations not in calibDB");
598 Double_t x[3]={c.GetRow(),c.GetPad(),c.GetTimeBin()};
599 Int_t i[1]={fSector};
600 transform->Transform(x,i,0,1);
610 if (ki<=1 || ki>=fMaxPad-1 || kj==1 || kj==fMaxTime-2) {
611 c.SetType(-(c.GetType()+3)); //edge clusters
613 if (fLoop==2) c.SetType(100);
614 if (!AcceptCluster(&c)) return;
617 TClonesArray * arr = 0;
618 AliTPCclusterMI * cl = 0;
620 if(fBClonesArray==kFALSE) {
621 arr = fRowCl->GetArray();
622 cl = new ((*arr)[fNcluster]) AliTPCclusterMI(c);
624 cl = new ((*fOutputClonesArray)[fNclusters+fNcluster]) AliTPCclusterMI(c);
627 // if (fRecoParam->DumpSignal() &&matrix ) {
629 // Float_t *graph =0;
630 // if (fRecoParam->GetCalcPedestal() && cl->GetMax()>fRecoParam->GetDumpAmplitudeMin() &&fBDumpSignal){
632 // graph = &(fBins[fMaxTime*(pos/fMaxTime)]);
634 // AliTPCclusterInfo * info = new AliTPCclusterInfo(matrix,nbins,graph);
635 // cl->SetInfo(info);
637 if (!fRecoParam->DumpSignal()) {
641 if (AliTPCReconstructor::StreamLevel()>1) {
642 (*fDebugStreamer)<<"Clusters"<<
651 //_____________________________________________________________________________
652 void AliTPCclustererMI::Digits2Clusters()
654 //-----------------------------------------------------------------
655 // This is a simple cluster finder.
656 //-----------------------------------------------------------------
659 Error("Digits2Clusters", "input tree not initialised");
663 AliTPCCalPad * gainTPC = AliTPCcalibDB::Instance()->GetPadGainFactor();
664 AliTPCCalPad * noiseTPC = AliTPCcalibDB::Instance()->GetPadNoise();
665 AliSimDigits digarr, *dummy=&digarr;
667 fInput->GetBranch("Segment")->SetAddress(&dummy);
668 Stat_t nentries = fInput->GetEntries();
670 fMaxTime=fRecoParam->GetLastBin()+6; // add 3 virtual time bins before and 3 after
674 for (Int_t n=0; n<nentries; n++) {
676 if (!fParam->AdjustSectorRow(digarr.GetID(),fSector,fRow)) {
677 cerr<<"AliTPC warning: invalid segment ID ! "<<digarr.GetID()<<endl;
681 AliTPCCalROC * gainROC = gainTPC->GetCalROC(fSector); // pad gains per given sector
682 AliTPCCalROC * noiseROC = noiseTPC->GetCalROC(fSector); // noise per given sector
685 fRowCl->SetID(digarr.GetID());
686 if (fOutput) fOutput->GetBranch("Segment")->SetAddress(&fRowCl);
687 fRx=fParam->GetPadRowRadii(fSector,row);
690 const Int_t kNIS=fParam->GetNInnerSector(), kNOS=fParam->GetNOuterSector();
691 fZWidth = fParam->GetZWidth();
692 if (fSector < kNIS) {
693 fMaxPad = fParam->GetNPadsLow(row);
694 fSign = (fSector < kNIS/2) ? 1 : -1;
695 fPadLength = fParam->GetPadPitchLength(fSector,row);
696 fPadWidth = fParam->GetPadPitchWidth();
698 fMaxPad = fParam->GetNPadsUp(row);
699 fSign = ((fSector-kNIS) < kNOS/2) ? 1 : -1;
700 fPadLength = fParam->GetPadPitchLength(fSector,row);
701 fPadWidth = fParam->GetPadPitchWidth();
705 fMaxBin=fMaxTime*(fMaxPad+6); // add 3 virtual pads before and 3 after
706 fBins =new Float_t[fMaxBin];
707 fSigBins =new Int_t[fMaxBin];
709 memset(fBins,0,sizeof(Float_t)*fMaxBin);
711 if (digarr.First()) //MI change
713 Float_t dig=digarr.CurrentDigit();
714 if (dig<=fParam->GetZeroSup()) continue;
715 Int_t j=digarr.CurrentRow()+3, i=digarr.CurrentColumn()+3;
716 Float_t gain = gainROC->GetValue(row,digarr.CurrentColumn());
717 Int_t bin = i*fMaxTime+j;
719 fSigBins[fNSigBins++]=bin;
720 } while (digarr.Next());
721 digarr.ExpandTrackBuffer();
723 FindClusters(noiseROC);
725 fRowCl->GetArray()->Clear();
726 nclusters+=fNcluster;
732 Info("Digits2Clusters", "Number of found clusters : %d", nclusters);
735 void AliTPCclustererMI::Digits2Clusters(AliRawReader* rawReader)
737 //-----------------------------------------------------------------
738 // This is a cluster finder for the TPC raw data.
739 // The method assumes NO ordering of the altro channels.
740 // The pedestal subtraction can be switched on and off
741 // using an option of the TPC reconstructor
742 //-----------------------------------------------------------------
746 AliTPCROC * roc = AliTPCROC::Instance();
747 AliTPCCalPad * gainTPC = AliTPCcalibDB::Instance()->GetPadGainFactor();
748 AliTPCCalPad * pedestalTPC = AliTPCcalibDB::Instance()->GetPedestals();
749 AliTPCCalPad * noiseTPC = AliTPCcalibDB::Instance()->GetPadNoise();
750 AliTPCAltroMapping** mapping =AliTPCcalibDB::Instance()->GetMapping();
752 AliTPCRawStream input(rawReader,(AliAltroMapping**)mapping);
753 fEventHeader = (AliRawEventHeaderBase*)rawReader->GetEventHeader();
755 fTimeStamp = fEventHeader->Get("Timestamp");
756 fEventType = fEventHeader->Get("Type");
759 // creaate one TClonesArray for all clusters
760 if(fBClonesArray && !fOutputClonesArray) fOutputClonesArray = new TClonesArray("AliTPCclusterMI",1000);
764 fMaxTime = fRecoParam->GetLastBin() + 6; // add 3 virtual time bins before and 3 after
765 const Int_t kNIS = fParam->GetNInnerSector();
766 const Int_t kNOS = fParam->GetNOuterSector();
767 const Int_t kNS = kNIS + kNOS;
768 fZWidth = fParam->GetZWidth();
769 Int_t zeroSup = fParam->GetZeroSup();
771 //alocate memory for sector - maximal case
773 Float_t** allBins = NULL;
774 Int_t** allSigBins = NULL;
775 Int_t* allNSigBins = NULL;
776 Int_t nRowsMax = roc->GetNRows(roc->GetNSector()-1);
777 Int_t nPadsMax = roc->GetNPads(roc->GetNSector()-1,nRowsMax-1);
778 allBins = new Float_t*[nRowsMax];
779 allSigBins = new Int_t*[nRowsMax];
780 allNSigBins = new Int_t[nRowsMax];
781 for (Int_t iRow = 0; iRow < nRowsMax; iRow++) {
783 Int_t maxBin = fMaxTime*(nPadsMax+6); // add 3 virtual pads before and 3 after
784 allBins[iRow] = new Float_t[maxBin];
785 memset(allBins[iRow],0,sizeof(Float_t)*maxBin);
786 allSigBins[iRow] = new Int_t[maxBin];
792 for(fSector = 0; fSector < kNS; fSector++) {
795 Int_t nDDLs = 0, indexDDL = 0;
796 if (fSector < kNIS) {
797 nRows = fParam->GetNRowLow();
798 fSign = (fSector < kNIS/2) ? 1 : -1;
800 indexDDL = fSector * 2;
803 nRows = fParam->GetNRowUp();
804 fSign = ((fSector-kNIS) < kNOS/2) ? 1 : -1;
806 indexDDL = (fSector-kNIS) * 4 + kNIS * 2;
809 // load the raw data for corresponding DDLs
811 rawReader->Select("TPC",indexDDL,indexDDL+nDDLs-1);
813 // select only good sector
815 if(input.GetSector() != fSector) continue;
817 AliTPCCalROC * gainROC = gainTPC->GetCalROC(fSector); // pad gains per given sector
818 AliTPCCalROC * pedestalROC = pedestalTPC->GetCalROC(fSector); // pedestal per given sector
819 AliTPCCalROC * noiseROC = noiseTPC->GetCalROC(fSector); // noise per given sector
820 //check the presence of the calibration
821 if (!noiseROC ||!pedestalROC ) {
822 AliError(Form("Missing calibration per sector\t%d\n",fSector));
826 for (Int_t iRow = 0; iRow < nRows; iRow++) {
829 maxPad = fParam->GetNPadsLow(iRow);
831 maxPad = fParam->GetNPadsUp(iRow);
833 Int_t maxBin = fMaxTime*(maxPad+6); // add 3 virtual pads before and 3 after
834 memset(allBins[iRow],0,sizeof(Float_t)*maxBin);
835 allNSigBins[iRow] = 0;
839 // Begin loop over altro data
840 Bool_t calcPedestal = fRecoParam->GetCalcPedestal();
845 while (input.Next()) {
846 if (input.GetSector() != fSector)
847 AliFatal(Form("Sector index mismatch ! Expected (%d), but got (%d) !",fSector,input.GetSector()));
850 Int_t iRow = input.GetRow();
855 if (iRow < 0 || iRow >= nRows){
856 AliError(Form("Pad-row index (%d) outside the range (%d -> %d) !",
861 Int_t iPad = input.GetPad();
862 if (iPad < 0 || iPad >= nPadsMax) {
863 AliError(Form("Pad index (%d) outside the range (%d -> %d) !",
864 iPad, 0, nPadsMax-1));
868 gain = gainROC->GetValue(iRow,iPad);
873 Int_t iTimeBin = input.GetTime();
874 if ( iTimeBin < fRecoParam->GetFirstBin() || iTimeBin >= fRecoParam->GetLastBin()){
876 AliFatal(Form("Timebin index (%d) outside the range (%d -> %d) !",
877 iTimeBin, 0, iTimeBin -1));
882 Float_t signal = input.GetSignal();
883 if (!calcPedestal && signal <= zeroSup) continue;
886 Int_t bin = iPad*fMaxTime+iTimeBin;
887 allBins[iRow][bin] = signal/gain;
888 allSigBins[iRow][allNSigBins[iRow]++] = bin;
890 allBins[iRow][iPad*fMaxTime+iTimeBin] = signal;
892 allBins[iRow][iPad*fMaxTime+0]+=1.; // pad with signal
896 } // End of the loop over altro data
901 // Now loop over rows and perform pedestal subtraction
902 if (digCounter==0) continue;
903 // if (calcPedestal) {
905 for (Int_t iRow = 0; iRow < nRows; iRow++) {
908 maxPad = fParam->GetNPadsLow(iRow);
910 maxPad = fParam->GetNPadsUp(iRow);
912 for (Int_t iPad = 3; iPad < maxPad + 3; iPad++) {
914 // Temporary fix for data production - !!!! MARIAN
915 // The noise calibration should take mean and RMS - currently the Gaussian fit used
916 // In case of double peak - the pad should be rejected
918 // Line mean - if more than given digits over threshold - make a noise calculation
919 // and pedestal substration
920 if (!calcPedestal && allBins[iRow][iPad*fMaxTime+0]<50) continue;
922 if (allBins[iRow][iPad*fMaxTime+0] <1 ) continue; // no data
923 Float_t *p = &allBins[iRow][iPad*fMaxTime+3];
924 //Float_t pedestal = TMath::Median(fMaxTime, p);
925 Int_t id[3] = {fSector, iRow, iPad-3};
927 Double_t rmsCalib= noiseROC->GetValue(iRow,iPad-3);
928 Double_t pedestalCalib = pedestalROC->GetValue(iRow,iPad-3);
929 Double_t rmsEvent = rmsCalib;
930 Double_t pedestalEvent = pedestalCalib;
931 ProcesSignal(p, fMaxTime, id, rmsEvent, pedestalEvent);
932 if (rmsEvent<rmsCalib) rmsEvent = rmsCalib; // take worst scenario
933 if (TMath::Abs(pedestalEvent-pedestalCalib)<1.0) pedestalEvent = pedestalCalib;
936 for (Int_t iTimeBin = 0; iTimeBin < fMaxTime; iTimeBin++) {
937 Int_t bin = iPad*fMaxTime+iTimeBin;
938 allBins[iRow][bin] -= pedestalEvent;
939 if (iTimeBin < AliTPCReconstructor::GetRecoParam()->GetFirstBin())
940 allBins[iRow][bin] = 0;
941 if (iTimeBin > AliTPCReconstructor::GetRecoParam()->GetLastBin())
942 allBins[iRow][bin] = 0;
943 if (allBins[iRow][iPad*fMaxTime+iTimeBin] < zeroSup)
944 allBins[iRow][bin] = 0;
945 if (allBins[iRow][bin] < 3.0*rmsEvent) // 3 sigma cut on RMS
946 allBins[iRow][bin] = 0;
947 if (allBins[iRow][bin]) allSigBins[iRow][allNSigBins[iRow]++] = bin;
953 if (AliTPCReconstructor::StreamLevel()>3) {
954 for (Int_t iRow = 0; iRow < nRows; iRow++) {
957 maxPad = fParam->GetNPadsLow(iRow);
959 maxPad = fParam->GetNPadsUp(iRow);
961 for (Int_t iPad = 3; iPad < maxPad + 3; iPad++) {
962 for (Int_t iTimeBin = 0; iTimeBin < fMaxTime; iTimeBin++) {
963 Int_t bin = iPad*fMaxTime+iTimeBin;
964 Float_t signal = allBins[iRow][bin];
965 if (AliTPCReconstructor::StreamLevel()>3 && signal>3) {
966 Double_t x[]={iRow,iPad-3,iTimeBin-3};
968 AliTPCTransform trafo;
969 trafo.Transform(x,i,0,1);
970 Double_t gx[3]={x[0],x[1],x[2]};
971 trafo.RotatedGlobal2Global(fSector,gx);
973 if (AliTPCReconstructor::StreamLevel()>0) {
974 (*fDebugStreamer)<<"Digits"<<
994 // Now loop over rows and find clusters
995 for (fRow = 0; fRow < nRows; fRow++) {
996 fRowCl->SetID(fParam->GetIndex(fSector, fRow));
997 if (fOutput) fOutput->GetBranch("Segment")->SetAddress(&fRowCl);
999 fRx = fParam->GetPadRowRadii(fSector, fRow);
1000 fPadLength = fParam->GetPadPitchLength(fSector, fRow);
1001 fPadWidth = fParam->GetPadPitchWidth();
1003 fMaxPad = fParam->GetNPadsLow(fRow);
1005 fMaxPad = fParam->GetNPadsUp(fRow);
1006 fMaxBin = fMaxTime*(fMaxPad+6); // add 3 virtual pads before and 3 after
1008 fBins = allBins[fRow];
1009 fSigBins = allSigBins[fRow];
1010 fNSigBins = allNSigBins[fRow];
1012 FindClusters(noiseROC);
1015 if(fBClonesArray == kFALSE) fRowCl->GetArray()->Clear();
1016 fNclusters += fNcluster;
1018 } // End of loop to find clusters
1019 } // End of loop over sectors
1021 for (Int_t iRow = 0; iRow < nRowsMax; iRow++) {
1022 delete [] allBins[iRow];
1023 delete [] allSigBins[iRow];
1026 delete [] allSigBins;
1027 delete [] allNSigBins;
1029 if (rawReader->GetEventId() && fOutput ){
1030 Info("Digits2Clusters", "File %s Event\t%d\tNumber of found clusters : %d\n", fOutput->GetName(),*(rawReader->GetEventId()), fNclusters);
1033 if(rawReader->GetEventId()) {
1034 Info("Digits2Clusters", "Event\t%d\tNumber of found clusters : %d\n",*(rawReader->GetEventId()), fNclusters);
1038 //Info("Digits2Clusters", "Number of found clusters : %d\n",fOutputClonesArray->GetEntriesFast());
1042 void AliTPCclustererMI::FindClusters(AliTPCCalROC * noiseROC)
1046 // add virtual charge at the edge
1048 Double_t kMaxDumpSize = 500000;
1050 fBDumpSignal =kFALSE;
1052 if (fRecoParam->GetCalcPedestal() && fOutput->GetZipBytes()< kMaxDumpSize) fBDumpSignal =kTRUE; //dump signal flag
1057 Int_t crtime = Int_t((fParam->GetZLength(fSector)-fRecoParam->GetCtgRange()*fRx)/fZWidth-fParam->GetNTBinsL1()-5);
1058 Float_t minMaxCutAbs = fRecoParam->GetMinMaxCutAbs();
1059 Float_t minLeftRightCutAbs = fRecoParam->GetMinLeftRightCutAbs();
1060 Float_t minUpDownCutAbs = fRecoParam->GetMinUpDownCutAbs();
1061 Float_t minMaxCutSigma = fRecoParam->GetMinMaxCutSigma();
1062 Float_t minLeftRightCutSigma = fRecoParam->GetMinLeftRightCutSigma();
1063 Float_t minUpDownCutSigma = fRecoParam->GetMinUpDownCutSigma();
1064 for (Int_t iSig = 0; iSig < fNSigBins; iSig++) {
1065 Int_t i = fSigBins[iSig];
1066 if (i%fMaxTime<=crtime) continue;
1067 Float_t *b = &fBins[i];
1069 if (b[0]<minMaxCutAbs) continue; //threshold for maxima
1071 if (b[-1]+b[1]+b[-fMaxTime]+b[fMaxTime]<=0) continue; // cut on isolated clusters
1072 if (b[-1]+b[1]<=0) continue; // cut on isolated clusters
1073 if (b[-fMaxTime]+b[fMaxTime]<=0) continue; // cut on isolated clusters
1075 if ((b[0]+b[-1]+b[1])<minUpDownCutAbs) continue; //threshold for up down (TRF)
1076 if ((b[0]+b[-fMaxTime]+b[fMaxTime])<minLeftRightCutAbs) continue; //threshold for left right (PRF)
1077 if (!IsMaximum(*b,fMaxTime,b)) continue;
1079 Float_t noise = noiseROC->GetValue(fRow, i/fMaxTime);
1080 if (noise>fRecoParam->GetMaxNoise()) continue;
1082 if (b[0]<minMaxCutSigma*noise) continue; //threshold form maxima
1083 if ((b[0]+b[-1]+b[1])<minUpDownCutSigma*noise) continue; //threshold for up town TRF
1084 if ((b[0]+b[-fMaxTime]+b[fMaxTime])<minLeftRightCutSigma*noise) continue; //threshold for left right (PRF)
1086 AliTPCclusterMI c; // default cosntruction without info
1088 MakeCluster(i, fMaxTime, fBins, dummy,c);
1094 Bool_t AliTPCclustererMI::AcceptCluster(AliTPCclusterMI *cl){
1096 // Currently hack to filter digital noise (15.06.2008)
1097 // To be parameterized in the AliTPCrecoParam
1098 // More inteligent way to be used in future
1099 // Acces to the proper pedestal file needed
1101 if (cl->GetMax()<400) return kTRUE;
1102 Double_t ratio = cl->GetQ()/cl->GetMax();
1103 if (cl->GetMax()>700){
1104 if ((ratio - int(ratio)>0.8)) return kFALSE;
1106 if ((ratio - int(ratio)<0.95)) return kTRUE;
1111 Double_t AliTPCclustererMI::ProcesSignal(Float_t *signal, Int_t nchannels, Int_t id[3], Double_t &rmsEvent, Double_t &pedestalEvent){
1113 // process signal on given pad - + streaming of additional information in special mode
1120 // ESTIMATE pedestal and the noise
1122 const Int_t kPedMax = 100;
1128 Float_t rmsCalib = rmsEvent; // backup initial value ( from calib)
1129 Float_t pedestalCalib = pedestalEvent;// backup initial value ( from calib)
1130 Int_t firstBin = AliTPCReconstructor::GetRecoParam()->GetFirstBin();
1132 UShort_t histo[kPedMax];
1133 //memset(histo,0,kPedMax*sizeof(UShort_t));
1134 for (Int_t i=0; i<kPedMax; i++) histo[i]=0;
1135 for (Int_t i=0; i<fMaxTime; i++){
1136 if (signal[i]<=0) continue;
1137 if (signal[i]>max && i>firstBin) {
1141 if (signal[i]>kPedMax-1) continue;
1142 histo[int(signal[i]+0.5)]++;
1146 for (Int_t i=1; i<kPedMax; i++){
1147 if (count1<count0*0.5) median=i;
1152 Float_t count10=histo[median] ,mean=histo[median]*median, rms=histo[median]*median*median ;
1153 Float_t count06=histo[median] ,mean06=histo[median]*median, rms06=histo[median]*median*median ;
1154 Float_t count09=histo[median] ,mean09=histo[median]*median, rms09=histo[median]*median*median ;
1156 for (Int_t idelta=1; idelta<10; idelta++){
1157 if (median-idelta<=0) continue;
1158 if (median+idelta>kPedMax) continue;
1159 if (count06<0.6*count1){
1160 count06+=histo[median-idelta];
1161 mean06 +=histo[median-idelta]*(median-idelta);
1162 rms06 +=histo[median-idelta]*(median-idelta)*(median-idelta);
1163 count06+=histo[median+idelta];
1164 mean06 +=histo[median+idelta]*(median+idelta);
1165 rms06 +=histo[median+idelta]*(median+idelta)*(median+idelta);
1167 if (count09<0.9*count1){
1168 count09+=histo[median-idelta];
1169 mean09 +=histo[median-idelta]*(median-idelta);
1170 rms09 +=histo[median-idelta]*(median-idelta)*(median-idelta);
1171 count09+=histo[median+idelta];
1172 mean09 +=histo[median+idelta]*(median+idelta);
1173 rms09 +=histo[median+idelta]*(median+idelta)*(median+idelta);
1175 if (count10<0.95*count1){
1176 count10+=histo[median-idelta];
1177 mean +=histo[median-idelta]*(median-idelta);
1178 rms +=histo[median-idelta]*(median-idelta)*(median-idelta);
1179 count10+=histo[median+idelta];
1180 mean +=histo[median+idelta]*(median+idelta);
1181 rms +=histo[median+idelta]*(median+idelta)*(median+idelta);
1186 rms = TMath::Sqrt(TMath::Abs(rms/count10-mean*mean));
1190 rms06 = TMath::Sqrt(TMath::Abs(rms06/count06-mean06*mean06));
1194 rms09 = TMath::Sqrt(TMath::Abs(rms09/count09-mean09*mean09));
1198 pedestalEvent = median;
1199 if (AliLog::GetDebugLevel("","AliTPCclustererMI")==0) return median;
1201 UInt_t uid[3] = {UInt_t(id[0]),UInt_t(id[1]),UInt_t(id[2])};
1203 // Dump mean signal info
1205 if (AliTPCReconstructor::StreamLevel()>0) {
1206 (*fDebugStreamer)<<"Signal"<<
1207 "TimeStamp="<<fTimeStamp<<
1208 "EventType="<<fEventType<<
1222 "RMSCalib="<<rmsCalib<<
1223 "PedCalib="<<pedestalCalib<<
1227 // fill pedestal histogram
1232 Float_t kMin =fRecoParam->GetDumpAmplitudeMin(); // minimal signal to be dumped
1233 Float_t *dsignal = new Float_t[nchannels];
1234 Float_t *dtime = new Float_t[nchannels];
1235 for (Int_t i=0; i<nchannels; i++){
1237 dsignal[i] = signal[i];
1242 // Big signals dumping
1244 if (AliTPCReconstructor::StreamLevel()>0) {
1245 if (max-median>kMin &&maxPos>AliTPCReconstructor::GetRecoParam()->GetFirstBin())
1246 (*fDebugStreamer)<<"SignalB"<< // pads with signal
1247 "TimeStamp="<<fTimeStamp<<
1248 "EventType="<<fEventType<<
1269 if (rms06>fRecoParam->GetMaxNoise()) {
1270 pedestalEvent+=1024.;
1271 return 1024+median; // sign noisy channel in debug mode