class AliTRDrecoParam: public AliDetectorRecoParam
Parameter class for the TRD reconstruction Authors: Alex Bercuci <A.Bercuci@gsi.de> Markus Fasel <M.Fasel@gsi.de>
Function Members (Methods)
public:
protected:
| virtual void | TObject::DoError(int level, const char* location, const char* fmt, va_list va) const |
| void | TObject::MakeZombie() |
Data Members
public:
| enum ETRDReconstructionTask { | kClusterizer | |
| kTracker | ||
| kPID | ||
| kTRDreconstructionTasks | ||
| }; | ||
| enum ETRDflags { | kDriftGas | |
| kVertexConstraint | ||
| kTailCancelation | ||
| kImproveTracklet | ||
| kLUT | ||
| kGAUS | ||
| kClusterSharing | ||
| kSteerPID | ||
| kEightSlices | ||
| kCheckTimeConsistency | ||
| kLQ2D | ||
| }; | ||
| enum TObject::EStatusBits { | kCanDelete | |
| kMustCleanup | ||
| kObjInCanvas | ||
| kIsReferenced | ||
| kHasUUID | ||
| kCannotPick | ||
| kNoContextMenu | ||
| kInvalidObject | ||
| }; | ||
| enum TObject::[unnamed] { | kIsOnHeap | |
| kNotDeleted | ||
| kZombie | ||
| kBitMask | ||
| kSingleKey | ||
| kOverwrite | ||
| kWriteDelete | ||
| }; |
protected:
| TString | TNamed::fName | object identifier |
| TString | TNamed::fTitle | object title |
private:
| Double_t | fChi2Cut | Cut on the Chi2 track/tracklet 0 used to diecide if the kalman track should be updated |
| Double_t | fClusMaxThresh | Threshold value for cluster maximum |
| Double_t | fClusSigThresh | Threshold value for cluster signal |
| Long64_t | fFlags | option Flags |
| Double_t | fMinLeftRightCutSigma | Threshold sigma noise sum pad |
| Double_t | fMinMaxCutSigma | Threshold sigma noise pad middle |
| Int_t | fNumberOfConfigs | Used number of seed configurations |
| Int_t | fNumberOfPostsamples | number of postsamples |
| Int_t | fNumberOfPresamples | number of presamples |
| Double_t | fPIDThreshold[11] | PID Thresholds for Electron candidate decision |
| TString | fRawStreamVersion | Raw Reader version |
| Int_t | fRecEveryNTB | Reconstruct each nth timebin |
| Double_t | fS2Ycorr[4] | inflation factor of error parameterization in r-phi due to wrong estimation of residuals. |
| Int_t | fStreamLevel[3] | Stream Level |
| Double_t | fSysCovMatrix[5] | Systematic uncertainty from calibration and alignment for each tracklet |
| Double_t | fTCParams[8] | Tail Cancellation parameters for drift gases |
| Int_t | fTCnexp | Number of exponentials, digital filter |
| Double_t | fYcorrTailCancel[4][3] | y correction due to wrong tail cancellation. [0] bz<0 && !RC, [1] bz>0 && !RC, [2] bz<0 && RC [3] bz>0 && RC |
| Double_t | fdzdxCorrFactor[2] | correction of dzdx estimation due to z bias; [0] for !RC, [1] for RC |
| Double_t | fdzdxCorrRCbias[2] | correction of dzdx estimation bias for RC; [0] for dz/dx>0, [1] for dz/dx<0 |
| Double_t | fdzdxXcrossFactor | bias in dzdx of estimated xcross [RC] |
| Double_t | fkChi2Y | Max chi2 on the y direction for seeding clusters Rieman fit |
| Double_t | fkChi2YCut | Cut on the Chi2 in y-direction in the likelihood filter |
| Double_t | fkChi2YSlope | Slope of the chi2-distribution in y-direction |
| Double_t | fkChi2Z | Max chi2 on the z direction for seeding clusters fit |
| Double_t | fkChi2ZSlope | Slope of the chi2-distribution in z-direction |
| Double_t | fkFindable | minimum ratio of clusters per tracklet supposed to be attached. |
| Double_t | fkMaxPhi | Maximum phi - momentum cut |
| Double_t | fkMaxTheta | Maximum theta |
| Double_t | fkNClusterNoise | ratio of noisy clusters to the true one |
| Double_t | fkNMeanClusters | Mean number of clusters per tracklet |
| Double_t | fkNMeanTracklets | Mean number of tracklets per track |
| Double_t | fkNSigmaClusters | Sigma of the number of clusters per tracklet |
| Double_t | fkPhiSlope | Slope of the distribution of the deviation between track angle and tracklet angle |
| Double_t | fkPlaneQualityThreshold | Quality threshold |
| Double_t | fkPtThreshold | pt threshold for using TRD points for updating Kalaman track |
| Double_t | fkRoad0y | Road for middle cluster |
| Double_t | fkRoad0z | Road for middle cluster |
| Double_t | fkRoad1y | Road in y for seeded cluster |
| Double_t | fkRoad1z | Road in z for seeded cluster |
| Double_t | fkRoad2y | Road in y for extrapolated cluster |
| Double_t | fkRoad2z | Road in z for extrapolated cluster |
| Double_t | fkRoadzMultiplicator | Multiplicator for the Roads in z |
| Double_t | fkTrackLikelihood | Track likelihood for tracklets Rieman fit |
| Double_t | fkdNchdy | dNch/dy |
Class Charts
| Inheritance Chart: | ||||||||||||
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Function documentation
void SetPIDLQslices(Int_t s)
Setting number of slices used by the PID LQ method s={1, 2}
If PID NN is set this function will change to PID LQ.
void SetTrackletParams(Double_t* par = NULL)
Load tracklet reconstruction parameters. If none are set use defaults
void SetCheckTimeConsistency(Bool_t b = kTRUE)
{if(b) SETBIT(fFlags, kCheckTimeConsistency); else CLRBIT(fFlags, kCheckTimeConsistency);}void SetClusterSharing(Bool_t b = kTRUE)
{if(b) SETBIT(fFlags, kClusterSharing); else CLRBIT(fFlags, kClusterSharing);}void SetEightSlices(Bool_t b = kTRUE)
{if(b) SETBIT(fFlags, kEightSlices); else CLRBIT(fFlags, kEightSlices);}void SetImproveTracklets(Bool_t b = kTRUE)
{if(b) SETBIT(fFlags, kImproveTracklet); else CLRBIT(fFlags, kImproveTracklet);}void SetPIDNeuralNetwork(Bool_t b = kTRUE)
void SetTailCancelation(Bool_t b = kTRUE)
{if(b) SETBIT(fFlags, kTailCancelation); else CLRBIT(fFlags, kTailCancelation);}void SetMinLeftRightCutSigma(Float_t minLeftRightCutSigma)
{ fMinLeftRightCutSigma = minLeftRightCutSigma; }