//-------------------------------------------------------
// Implementation of the TPC clusterer
//
+// 1. The Input data for reconstruction - Options
+// 1.a Simulated data - TTree - invoked Digits2Clusters()
+// 1.b Raw data - Digits2Clusters(AliRawReader* rawReader);
+//
+// 2. The Output data
+// 2.a TTree with clusters - if SetOutput(TTree * tree) invoked
+// 2.b TObjArray - Faster option for HLT
+//
+// 3. Reconstruction setup
+// see AliTPCRecoParam for list of parameters
+// The reconstruction parameterization taken from the
+// AliTPCReconstructor::GetRecoParam()
+// Possible to setup it in reconstruction macro AliTPCReconstructor::SetRecoParam(...)
+//
+//
+//
// Origin: Marian Ivanov
//-------------------------------------------------------
#include <TRandom.h>
#include <TTree.h>
#include <TTreeStream.h>
-#include <TVirtualFFT.h>
#include "AliDigits.h"
#include "AliLoader.h"
fEventType(0),
fInput(0),
fOutput(0),
+ fOutputArray(0),
fRowCl(0),
fRowDig(0),
fParam(0),
fNcluster(0),
- fAmplitudeHisto(0),
fDebugStreamer(0),
fRecoParam(0),
- fBDumpSignal(kFALSE),
- fFFTr2c(0)
+ fBDumpSignal(kFALSE)
{
//
// COSNTRUCTOR
//
fIsOldRCUFormat = kFALSE;
fInput =0;
- fOutput=0;
fParam = par;
if (recoParam) {
fRecoParam = recoParam;
if (!fRecoParam) fRecoParam = AliTPCRecoParam::GetLowFluxParam();
}
fDebugStreamer = new TTreeSRedirector("TPCsignal.root");
- fAmplitudeHisto = 0;
Int_t nPoints = fRecoParam->GetLastBin()-fRecoParam->GetFirstBin();
- fFFTr2c = TVirtualFFT::FFT(1, &nPoints, "R2C K");
}
//______________________________________________________________
AliTPCclustererMI::AliTPCclustererMI(const AliTPCclustererMI ¶m)
fEventType(0),
fInput(0),
fOutput(0),
+ fOutputArray(0),
fRowCl(0),
fRowDig(0),
fParam(0),
fNcluster(0),
- fAmplitudeHisto(0),
fDebugStreamer(0),
fRecoParam(0),
- fBDumpSignal(kFALSE),
- fFFTr2c(0)
+ fBDumpSignal(kFALSE)
{
//
// dummy
}
//______________________________________________________________
AliTPCclustererMI::~AliTPCclustererMI(){
- DumpHistos();
- if (fAmplitudeHisto) delete fAmplitudeHisto;
+ //
+ //
+ //
if (fDebugStreamer) delete fDebugStreamer;
+ if (fOutputArray){
+ fOutputArray->Delete();
+ delete fOutputArray;
+ }
}
void AliTPCclustererMI::SetInput(TTree * tree)
void AliTPCclustererMI::SetOutput(TTree * tree)
{
//
+ // Set the output tree
+ // If not set the ObjArray used - Option for HLT
//
- fOutput= tree;
+ if (!tree) return;
+ fOutput= tree;
AliTPCClustersRow clrow;
AliTPCClustersRow *pclrow=&clrow;
clrow.SetClass("AliTPCclusterMI");
}
+void AliTPCclustererMI::FillRow(){
+ //
+ // fill the output container -
+ // 2 Options possible
+ // Tree
+ // TObjArray
+ //
+ if (fOutput) fOutput->Fill();
+ if (!fOutput){
+ //
+ if (!fOutputArray) fOutputArray = new TObjArray;
+ if (fRowCl) fOutputArray->AddAt(fRowCl->Clone(), fRowCl->GetID());
+ }
+}
+
Float_t AliTPCclustererMI::GetSigmaY2(Int_t iz){
// sigma y2 = in digits - we don't know the angle
Float_t z = iz*fParam->GetZWidth()+fParam->GetNTBinsL1()*fParam->GetZWidth();
//set cluster parameters
c.SetQ(sumw);
c.SetPad(meani-2.5);
- c.SetTimeBin(meanj-2.5);
+ c.SetTimeBin(meanj-3);
c.SetSigmaY2(mi2);
c.SetSigmaZ2(mj2);
c.SetType(0);
return;
}
- if (!fOutput) {
- Error("Digits2Clusters", "output tree not initialised");
- return;
- }
-
AliTPCCalPad * gainTPC = AliTPCcalibDB::Instance()->GetPadGainFactor();
AliTPCCalPad * noiseTPC = AliTPCcalibDB::Instance()->GetPadNoise();
AliSimDigits digarr, *dummy=&digarr;
AliTPCCalROC * gainROC = gainTPC->GetCalROC(fSector); // pad gains per given sector
AliTPCCalROC * noiseROC = noiseTPC->GetCalROC(fSector); // noise per given sector
//
- AliTPCClustersRow *clrow= new AliTPCClustersRow();
- fRowCl = clrow;
- clrow->SetClass("AliTPCclusterMI");
- clrow->SetArray(1);
+ fRowCl= new AliTPCClustersRow();
+ fRowCl->SetClass("AliTPCclusterMI");
+ fRowCl->SetArray(1);
- clrow->SetID(digarr.GetID());
- fOutput->GetBranch("Segment")->SetAddress(&clrow);
+ fRowCl->SetID(digarr.GetID());
+ if (fOutput) fOutput->GetBranch("Segment")->SetAddress(&fRowCl);
fRx=fParam->GetPadRowRadii(fSector,row);
digarr.ExpandTrackBuffer();
FindClusters(noiseROC);
-
- fOutput->Fill();
- delete clrow;
+ FillRow();
+ delete fRowCl;
nclusters+=fNcluster;
delete[] fBins;
delete[] fSigBins;
// using an option of the TPC reconstructor
//-----------------------------------------------------------------
- if (!fOutput) {
- Error("Digits2Clusters", "output tree not initialised");
- return;
- }
fRowDig = NULL;
AliTPCROC * roc = AliTPCROC::Instance();
AliTPCCalROC * gainROC = gainTPC->GetCalROC(fSector); // pad gains per given sector
AliTPCCalROC * pedestalROC = pedestalTPC->GetCalROC(fSector); // pedestal per given sector
AliTPCCalROC * noiseROC = noiseTPC->GetCalROC(fSector); // noise per given sector
-
+ //check the presence of the calibration
+ if (!noiseROC ||!pedestalROC ) {
+ AliError(Form("Missing calibration per sector\t%d\n",fSector));
+ continue;
+ }
Int_t nRows = 0;
Int_t nDDLs = 0, indexDDL = 0;
if (fSector < kNIS) {
Float_t gain =1;
Int_t lastPad=-1;
while (input.Next()) {
- digCounter++;
if (input.GetSector() != fSector)
AliFatal(Form("Sector index mismatch ! Expected (%d), but got (%d) !",fSector,input.GetSector()));
Int_t iRow = input.GetRow();
- if (iRow < 0 || iRow >= nRows)
- AliFatal(Form("Pad-row index (%d) outside the range (%d -> %d) !",
+ if (iRow < 0 || iRow >= nRows){
+ AliError(Form("Pad-row index (%d) outside the range (%d -> %d) !",
iRow, 0, nRows -1));
+ continue;
+ }
//pad
Int_t iPad = input.GetPad();
- if (iPad < 0 || iPad >= nPadsMax)
- AliFatal(Form("Pad index (%d) outside the range (%d -> %d) !",
+ if (iPad < 0 || iPad >= nPadsMax) {
+ AliError(Form("Pad index (%d) outside the range (%d -> %d) !",
iPad, 0, nPadsMax-1));
+ continue;
+ }
if (iPad!=lastPad){
gain = gainROC->GetValue(iRow,iPad);
lastPad = iPad;
iTimeBin, 0, iTimeBin -1));
}
iTimeBin+=3;
+
//signal
Float_t signal = input.GetSignal();
if (!calcPedestal && signal <= zeroSup) continue;
}else{
allBins[iRow][iPad*fMaxTime+iTimeBin] = signal;
}
- allBins[iRow][iPad*fMaxTime+0]=1.; // pad with signal
+ allBins[iRow][iPad*fMaxTime+0]+=1.; // pad with signal
+
+ // Temporary
+ digCounter++;
} // End of the loop over altro data
//
//
+ //
+ //
// Now loop over rows and perform pedestal subtraction
if (digCounter==0) continue;
- // if (fPedSubtraction) {
- if (calcPedestal) {
+ // if (calcPedestal) {
+ if (kTRUE) {
for (Int_t iRow = 0; iRow < nRows; iRow++) {
Int_t maxPad;
if (fSector < kNIS)
maxPad = fParam->GetNPadsUp(iRow);
for (Int_t iPad = 3; iPad < maxPad + 3; iPad++) {
+ //
+ // Temporary fix for data production - !!!! MARIAN
+ // The noise calibration should take mean and RMS - currently the Gaussian fit used
+ // In case of double peak - the pad should be rejected
+ //
+ // Line mean - if more than given digits over threshold - make a noise calculation
+ // and pedestal substration
+ if (!calcPedestal && allBins[iRow][iPad*fMaxTime+0]<50) continue;
+ //
if (allBins[iRow][iPad*fMaxTime+0] <1 ) continue; // no data
Float_t *p = &allBins[iRow][iPad*fMaxTime+3];
//Float_t pedestal = TMath::Median(fMaxTime, p);
fRowCl->SetClass("AliTPCclusterMI");
fRowCl->SetArray(1);
fRowCl->SetID(fParam->GetIndex(fSector, fRow));
- fOutput->GetBranch("Segment")->SetAddress(&fRowCl);
+ if (fOutput) fOutput->GetBranch("Segment")->SetAddress(&fRowCl);
fRx = fParam->GetPadRowRadii(fSector, fRow);
fPadLength = fParam->GetPadPitchLength(fSector, fRow);
fNSigBins = allNSigBins[fRow];
FindClusters(noiseROC);
-
- fOutput->Fill();
+ FillRow();
delete fRowCl;
nclusters += fNcluster;
} // End of loop to find clusters
delete [] allSigBins;
delete [] allNSigBins;
- Info("Digits2Clusters", "File %s Event\t%d\tNumber of found clusters : %d\n", fOutput->GetName(),*(rawReader->GetEventId()), nclusters);
-
+// if (rawReader->GetEventId() && fOutput ){
+// Info("Digits2Clusters", "File %s Event\t%d\tNumber of found clusters : %d\n", fOutput->GetName(),*(rawReader->GetEventId()), nclusters);
+// }else{
+// Info("Digits2Clusters", "Event\t%d\tNumber of found clusters : %d\n",*(rawReader->GetEventId()), nclusters);
+
+// }
+
}
void AliTPCclustererMI::FindClusters(AliTPCCalROC * noiseROC)
// add virtual charge at the edge
//
Double_t kMaxDumpSize = 500000;
- if (fRecoParam->GetCalcPedestal() && fOutput->GetZipBytes()< kMaxDumpSize) fBDumpSignal =kTRUE; //dump signal flag
- //
+ if (!fOutput) {
+ fBDumpSignal =kFALSE;
+ }else{
+ if (fRecoParam->GetCalcPedestal() && fOutput->GetZipBytes()< kMaxDumpSize) fBDumpSignal =kTRUE; //dump signal flag
+ }
+
fNcluster=0;
fLoop=1;
Int_t crtime = Int_t((fParam->GetZLength(fSector)-fRecoParam->GetCtgRange()*fRx)/fZWidth-fParam->GetNTBinsL1()-5);
if (b[0]<minMaxCutAbs) continue; //threshold for maxima
//
if (b[-1]+b[1]+b[-fMaxTime]+b[fMaxTime]<=0) continue; // cut on isolated clusters
- // if (b[-1]+b[1]<=0) continue; // cut on isolated clusters
- //if (b[-fMaxTime]+b[fMaxTime]<=0) continue; // cut on isolated clusters
+ if (b[-1]+b[1]<=0) continue; // cut on isolated clusters
+ if (b[-fMaxTime]+b[fMaxTime]<=0) continue; // cut on isolated clusters
//
if ((b[0]+b[-1]+b[1])<minUpDownCutAbs) continue; //threshold for up down (TRF)
if ((b[0]+b[-fMaxTime]+b[fMaxTime])<minLeftRightCutAbs) continue; //threshold for left right (PRF)
if (!IsMaximum(*b,fMaxTime,b)) continue;
//
Float_t noise = noiseROC->GetValue(fRow, i/fMaxTime);
+ if (noise>fRecoParam->GetMaxNoise()) continue;
// sigma cuts
if (b[0]<minMaxCutSigma*noise) continue; //threshold form maxima
if ((b[0]+b[-1]+b[1])<minUpDownCutSigma*noise) continue; //threshold for up town TRF
rms +=histo[median+idelta]*(median+idelta)*(median+idelta);
}
}
- mean /=count10;
- mean06/=count06;
- mean09/=count09;
- rms = TMath::Sqrt(TMath::Abs(rms/count10-mean*mean));
- rms06 = TMath::Sqrt(TMath::Abs(rms06/count06-mean06*mean06));
- rms09 = TMath::Sqrt(TMath::Abs(rms09/count09-mean09*mean09));
+ if (count10) {
+ mean /=count10;
+ rms = TMath::Sqrt(TMath::Abs(rms/count10-mean*mean));
+ }
+ if (count06) {
+ mean06/=count06;
+ rms06 = TMath::Sqrt(TMath::Abs(rms06/count06-mean06*mean06));
+ }
+ if (count09) {
+ mean09/=count09;
+ rms09 = TMath::Sqrt(TMath::Abs(rms09/count09-mean09*mean09));
+ }
rmsEvent = rms09;
//
pedestalEvent = median;
// fill pedestal histogram
//
AliTPCROC * roc = AliTPCROC::Instance();
- if (!fAmplitudeHisto){
- fAmplitudeHisto = new TObjArray(72);
- }
- //
- if (uid[0]<roc->GetNSectors()
- && uid[1]< roc->GetNRows(uid[0]) &&
- uid[2] <roc->GetNPads(uid[0], uid[1])){
- TObjArray * sectorArray = (TObjArray*)fAmplitudeHisto->UncheckedAt(uid[0]);
- if (!sectorArray){
- Int_t npads =roc->GetNChannels(uid[0]);
- sectorArray = new TObjArray(npads);
- fAmplitudeHisto->AddAt(sectorArray, uid[0]);
- }
- Int_t position = uid[2]+roc->GetRowIndexes(uid[0])[uid[1]];
- // TH1F * histo = (TH1F*)sectorArray->UncheckedAt(position);
-// if (!histo){
-// char hname[100];
-// sprintf(hname,"Amp_%d_%d_%d",uid[0],uid[1],uid[2]);
-// TFile * backup = gFile;
-// fDebugStreamer->GetFile()->cd();
-// histo = new TH1F(hname, hname, 100, 5,100);
-// //histo->SetDirectory(0); // histogram not connected to directory -(File)
-// sectorArray->AddAt(histo, position);
-// if (backup) backup->cd();
-// }
-// for (Int_t i=0; i<nchannels; i++){
-// histo->Fill(signal[i]);
-// }
- }
+
//
//
//
dtime[i] = i;
dsignal[i] = signal[i];
}
- //
- // Digital noise
- //
- // if (max-median>30.*TMath::Max(1.,Double_t(rms06)) && (((*fDebugStreamer)<<"SignalDN").GetSize()<kMaxDebugSize)){
-// //
-// //
-// TGraph * graph =new TGraph(nchannels, dtime, dsignal);
-// //
-// //
-// // jumps left - right
-// Int_t njumps0=0;
-// Double_t deltaT0[2000];
-// Double_t deltaA0[2000];
-// Int_t lastJump0 = fRecoParam->GetFirstBin();
-// Int_t njumps1=0;
-// Double_t deltaT1[2000];
-// Double_t deltaA1[2000];
-// Int_t lastJump1 = fRecoParam->GetFirstBin();
-// Int_t njumps2=0;
-// Double_t deltaT2[2000];
-// Double_t deltaA2[2000];
-// Int_t lastJump2 = fRecoParam->GetFirstBin();
-
-// for (Int_t itime=fRecoParam->GetFirstBin()+1; itime<fRecoParam->GetLastBin()-1; itime++){
-// if (TMath::Abs(dsignal[itime]-dsignal[itime-1])>30.*TMath::Max(1.,Double_t(rms06)) &&
-// TMath::Abs(dsignal[itime]-dsignal[itime+1])>30.*TMath::Max(1.,Double_t(rms06)) &&
-// (dsignal[itime-1]-median<5.*rms06) &&
-// (dsignal[itime+1]-median<5.*rms06)
-// ){
-// deltaA0[njumps0] = dsignal[itime]-dsignal[itime-1];
-// deltaT0[njumps0] = itime-lastJump0;
-// lastJump0 = itime;
-// njumps0++;
-// }
-// if (TMath::Abs(dsignal[itime]-dsignal[itime-1])>30.*TMath::Max(1.,Double_t(rms06)) &&
-// (dsignal[itime-1]-median<5.*rms06)
-// ) {
-// deltaA1[njumps1] = dsignal[itime]-dsignal[itime-1];
-// deltaT1[njumps1] = itime-lastJump1;
-// lastJump1 = itime;
-// njumps1++;
-// }
-// if (TMath::Abs(dsignal[itime]-dsignal[itime+1])>30.*TMath::Max(1.,Double_t(rms06)) &&
-// (dsignal[itime+1]-median<5.*rms06)
-// ) {
-// deltaA2[njumps2] = dsignal[itime]-dsignal[itime+1];
-// deltaT2[njumps2] = itime-lastJump2;
-// lastJump2 = itime;
-// njumps2++;
-// }
-// }
-// //
-// if (njumps0>0 || njumps1>0 || njumps2>0){
-// TGraph *graphDN0 = new TGraph(njumps0, deltaT0, deltaA0);
-// TGraph *graphDN1 = new TGraph(njumps1, deltaT1, deltaA1);
-// TGraph *graphDN2 = new TGraph(njumps2, deltaT2, deltaA2);
-// (*fDebugStreamer)<<"SignalDN"<< //digital - noise pads - or random sample of pads
-// "TimeStamp="<<fTimeStamp<<
-// "EventType="<<fEventType<<
-// "Sector="<<uid[0]<<
-// "Row="<<uid[1]<<
-// "Pad="<<uid[2]<<
-// "Graph="<<graph<<
-// "Max="<<max<<
-// "MaxPos="<<maxPos<<
-// "Graph.="<<graph<<
-// "P0GraphDN0.="<<graphDN0<<
-// "P1GraphDN1.="<<graphDN1<<
-// "P2GraphDN2.="<<graphDN2<<
-// //
-// "Median="<<median<<
-// "Mean="<<mean<<
-// "RMS="<<rms<<
-// "Mean06="<<mean06<<
-// "RMS06="<<rms06<<
-// "Mean09="<<mean09<<
-// "RMS09="<<rms09<<
-// "\n";
-// delete graphDN0;
-// delete graphDN1;
-// delete graphDN2;
-// }
-// delete graph;
-// }
- //
- // NOISE STUDY Fourier transform
- //
TGraph * graph;
- Bool_t random = (gRandom->Rndm()<0.0003);
- if (((*fDebugStreamer)<<"SignalN").GetSize()<kMaxDebugSize)
- if (max-median>kMin || rms06>1.*fParam->GetZeroSup() || random){
- graph =new TGraph(nchannels, dtime, dsignal);
- if (rms06>1.*fParam->GetZeroSup() || random){
- //Double_t *input, Double_t threshold, Bool_t locMax, Double_t *freq, Double_t *re, Double_t *im, Double_t *mag, Double_t *phi);
- Float_t * input = &(dsignal[fRecoParam->GetFirstBin()]);
- Float_t freq[2000], re[2000], im[2000], mag[2000], phi[2000];
- Int_t npoints = TransformFFT(input, -1,kFALSE, freq, re, im, mag, phi);
- TGraph *graphMag0 = new TGraph(npoints, freq, mag);
- TGraph *graphPhi0 = new TGraph(npoints, freq, phi);
- npoints = TransformFFT(input, 0.5,kTRUE, freq, re, im, mag, phi);
- TGraph *graphMag1 = new TGraph(npoints, freq, mag);
- TGraph *graphPhi1 = new TGraph(npoints, freq, phi);
-
- (*fDebugStreamer)<<"SignalN"<< //noise pads - or random sample of pads
- "TimeStamp="<<fTimeStamp<<
- "EventType="<<fEventType<<
- "Sector="<<uid[0]<<
- "Row="<<uid[1]<<
- "Pad="<<uid[2]<<
- "Graph.="<<graph<<
- "Max="<<max<<
- "MaxPos="<<maxPos<<
- //
- "Median="<<median<<
- "Mean="<<mean<<
- "RMS="<<rms<<
- "Mean06="<<mean06<<
- "RMS06="<<rms06<<
- "Mean09="<<mean09<<
- "RMS09="<<rms09<<
- // FFT part
- "Mag0.="<<graphMag0<<
- "Mag1.="<<graphMag1<<
- "Phi0.="<<graphPhi0<<
- "Phi1.="<<graphPhi1<<
- "\n";
- delete graphMag0;
- delete graphMag1;
- delete graphPhi0;
- delete graphPhi1;
- }
- //
- // Big signals dumping
- //
-
- if (max-median>kMin &&maxPos>AliTPCReconstructor::GetRecoParam()->GetFirstBin())
- (*fDebugStreamer)<<"SignalB"<< // pads with signal
- "TimeStamp="<<fTimeStamp<<
- "EventType="<<fEventType<<
- "Sector="<<uid[0]<<
- "Row="<<uid[1]<<
- "Pad="<<uid[2]<<
- "Graph="<<graph<<
- "Max="<<max<<
- "MaxPos="<<maxPos<<
- //
- "Median="<<median<<
- "Mean="<<mean<<
- "RMS="<<rms<<
- "Mean06="<<mean06<<
- "RMS06="<<rms06<<
- "Mean09="<<mean09<<
- "RMS09="<<rms09<<
- "\n";
- delete graph;
- }
-
- //
- //
- // Central Electrode signal analysis
- //
- Float_t ceQmax =0, ceQsum=0, ceTime=0;
- Float_t cemean = mean06, cerms=rms06 ;
- Int_t cemaxpos= 0;
- Float_t ceThreshold=5.*cerms;
- Float_t ceSumThreshold=8.*cerms;
- const Int_t kCemin=5; // range for the analysis of the ce signal +- channels from the peak
- const Int_t kCemax=5;
- for (Int_t i=nchannels-2; i>nchannels/2; i--){
- if ( (dsignal[i]-mean06)>ceThreshold && dsignal[i]>=dsignal[i+1] && dsignal[i]>=dsignal[i-1] ){
- cemaxpos=i;
- break;
- }
- }
- if (cemaxpos!=0){
- ceQmax = 0;
- Int_t cemaxpos2=0;
- for (Int_t i=cemaxpos-20; i<cemaxpos+5; i++){
- if (i<0 || i>nchannels-1) continue;
- Double_t val=dsignal[i]- cemean;
- if (val>ceQmax){
- cemaxpos2=i;
- ceQmax = val;
- }
- }
- cemaxpos = cemaxpos2;
-
- for (Int_t i=cemaxpos-kCemin; i<cemaxpos+kCemax; i++){
- if (i>0 && i<nchannels&&dsignal[i]- cemean>0){
- Double_t val=dsignal[i]- cemean;
- ceTime+=val*dtime[i];
- ceQsum+=val;
- if (val>ceQmax) ceQmax=val;
- }
- }
- if (ceQmax&&ceQsum>ceSumThreshold) {
- ceTime/=ceQsum;
- (*fDebugStreamer)<<"Signalce"<<
- "TimeStamp="<<fTimeStamp<<
- "EventType="<<fEventType<<
- "Sector="<<uid[0]<<
- "Row="<<uid[1]<<
- "Pad="<<uid[2]<<
- "Max="<<ceQmax<<
- "Qsum="<<ceQsum<<
- "Time="<<ceTime<<
- "RMS06="<<rms06<<
- //
- "\n";
- }
- }
- // end of ce signal analysis
- //
-
//
- // Gating grid signal analysis
- //
- Double_t ggQmax =0, ggQsum=0, ggTime=0;
- Double_t ggmean = mean06, ggrms=rms06 ;
- Int_t ggmaxpos= 0;
- Double_t ggThreshold=5.*ggrms;
- Double_t ggSumThreshold=8.*ggrms;
-
- for (Int_t i=1; i<nchannels/4; i++){
- if ( (dsignal[i]-mean06)>ggThreshold && dsignal[i]>=dsignal[i+1] && dsignal[i]>=dsignal[i-1] &&
- (dsignal[i]+dsignal[i+1]+dsignal[i-1]-3*mean06)>ggSumThreshold){
- ggmaxpos=i;
- if (dsignal[i-1]>dsignal[i+1]) ggmaxpos=i-1;
- break;
- }
- }
- if (ggmaxpos!=0){
- for (Int_t i=ggmaxpos-1; i<ggmaxpos+3; i++){
- if (i>0 && i<nchannels && dsignal[i]-ggmean>0){
- Double_t val=dsignal[i]- ggmean;
- ggTime+=val*dtime[i];
- ggQsum+=val;
- if (val>ggQmax) ggQmax=val;
- }
- }
- if (ggQmax&&ggQsum>ggSumThreshold) {
- ggTime/=ggQsum;
- (*fDebugStreamer)<<"Signalgg"<<
- "TimeStamp="<<fTimeStamp<<
- "EventType="<<fEventType<<
- "Sector="<<uid[0]<<
- "Row="<<uid[1]<<
- "Pad="<<uid[2]<<
- "Max="<<ggQmax<<
- "Qsum="<<ggQsum<<
- "Time="<<ggTime<<
- "RMS06="<<rms06<<
- //
- "\n";
- }
- }
- // end of gg signal analysis
-
+ // Big signals dumping
+ //
+ if (max-median>kMin &&maxPos>AliTPCReconstructor::GetRecoParam()->GetFirstBin())
+ (*fDebugStreamer)<<"SignalB"<< // pads with signal
+ "TimeStamp="<<fTimeStamp<<
+ "EventType="<<fEventType<<
+ "Sector="<<uid[0]<<
+ "Row="<<uid[1]<<
+ "Pad="<<uid[2]<<
+ "Graph="<<graph<<
+ "Max="<<max<<
+ "MaxPos="<<maxPos<<
+ //
+ "Median="<<median<<
+ "Mean="<<mean<<
+ "RMS="<<rms<<
+ "Mean06="<<mean06<<
+ "RMS06="<<rms06<<
+ "Mean09="<<mean09<<
+ "RMS09="<<rms09<<
+ "\n";
+ delete graph;
delete [] dsignal;
delete [] dtime;
-void AliTPCclustererMI::DumpHistos(){
- //
- // Dump histogram information
- //
- if (!fAmplitudeHisto) return;
- AliTPCROC * roc = AliTPCROC::Instance();
- for (UInt_t isector=0; isector<AliTPCROC::Instance()->GetNSectors(); isector++){
- TObjArray * array = (TObjArray*)fAmplitudeHisto->UncheckedAt(isector);
- if (!array) continue;
- for (UInt_t ipad = 0; ipad <(UInt_t)array->GetEntriesFast(); ipad++){
- TH1F * histo = (TH1F*) array->UncheckedAt(ipad);
- if (!histo) continue;
- if (histo->GetEntries()<100) continue;
- histo->Fit("gaus","q");
- Float_t mean = histo->GetMean();
- Float_t rms = histo->GetRMS();
- Float_t gmean = histo->GetFunction("gaus")->GetParameter(1);
- Float_t gsigma = histo->GetFunction("gaus")->GetParameter(2);
- Float_t gmeanErr = histo->GetFunction("gaus")->GetParError(1);
- Float_t gsigmaErr = histo->GetFunction("gaus")->GetParError(2);
- Float_t max = histo->GetFunction("gaus")->GetParameter(0);
-
- // get pad number
- UInt_t row=0, pad =0;
- const UInt_t *indexes =roc->GetRowIndexes(isector);
- for (UInt_t irow=0; irow<roc->GetNRows(isector); irow++){
- if (indexes[irow]<=ipad){
- row = irow;
- pad = ipad-indexes[irow];
- }
- }
- Int_t rpad = pad - (AliTPCROC::Instance()->GetNPads(isector,row))/2;
- //
- (*fDebugStreamer)<<"Fit"<<
- "TimeStamp="<<fTimeStamp<<
- "EventType="<<fEventType<<
- "Sector="<<isector<<
- "Row="<<row<<
- "Pad="<<pad<<
- "RPad="<<rpad<<
- "Max="<<max<<
- "Mean="<<mean<<
- "RMS="<<rms<<
- "GMean="<<gmean<<
- "GSigma="<<gsigma<<
- "GMeanErr="<<gmeanErr<<
- "GSigmaErr="<<gsigmaErr<<
- "\n";
- if (array->UncheckedAt(ipad)) fDebugStreamer->StoreObject(array->UncheckedAt(ipad));
- }
- }
-}
-
-
-
-Int_t AliTPCclustererMI::TransformFFT(Float_t *input, Float_t threshold, Bool_t locMax, Float_t *freq, Float_t *re, Float_t *im, Float_t *mag, Float_t *phi)
-{
- //
- // calculate fourrie transform
- // return only frequncies with mag over threshold
- // if locMax is spectified only freque with local maxima over theshold is returned
-
- if (! fFFTr2c) return kFALSE;
- if (!freq) return kFALSE;
- Int_t current=0;
- Int_t nPoints = fRecoParam->GetLastBin()-fRecoParam->GetFirstBin();
- Double_t *in = new Double_t[nPoints];
- Double_t *rfft = new Double_t[nPoints];
- Double_t *ifft = new Double_t[nPoints];
- for (Int_t i=0; i<nPoints; i++){in[i]=input[i];}
- fFFTr2c->SetPoints(in);
- fFFTr2c->Transform();
- fFFTr2c->GetPointsComplex(rfft, ifft);
- for (Int_t i=3; i<nPoints/2-3; i++){
- Float_t lmag = TMath::Sqrt(rfft[i]*rfft[i]+ifft[i]*ifft[i])/nPoints;
- if (lmag<threshold) continue;
- if (locMax){
- if ( TMath::Sqrt(rfft[i-1]*rfft[i-1]+ifft[i-1]*ifft[i-1])/nPoints>lmag) continue;
- if ( TMath::Sqrt(rfft[i+1]*rfft[i+1]+ifft[i+1]*ifft[i+1])/nPoints>lmag) continue;
- if ( TMath::Sqrt(rfft[i-2]*rfft[i-2]+ifft[i-2]*ifft[i-2])/nPoints>lmag) continue;
- if ( TMath::Sqrt(rfft[i+2]*rfft[i+2]+ifft[i+2]*ifft[i+2])/nPoints>lmag) continue;
- if ( TMath::Sqrt(rfft[i-3]*rfft[i-3]+ifft[i-3]*ifft[i-3])/nPoints>lmag) continue;
- if ( TMath::Sqrt(rfft[i+3]*rfft[i+3]+ifft[i+3]*ifft[i+3])/nPoints>lmag) continue;
- }
-
- freq[current] = Float_t(i)/Float_t(nPoints);
- //
- re[current] = rfft[i];
- im[current] = ifft[i];
- mag[current]=lmag;
- phi[current]=TMath::ATan2(ifft[i],rfft[i]);
- current++;
- }
- delete [] in;
- delete [] rfft;
- delete [] ifft;
- return current;
-}
git://git.uio.no / u / mrichter / AliRoot.git / blobdiff