org.hps.recon.tracking

Class NearestNeighborRMSClusterer

java.lang.Object

org.hps.recon.tracking.NearestNeighborRMSClusterer

All Implemented Interfaces:

ClusteringAlgorithm

public class NearestNeighborRMSClusterer
extends Object
implements ClusteringAlgorithm

Author:

Matt Graham

Field Summary

Fields

Modifier and Type	Field and Description
private double	_cluster_threshold
private double	_meanTime
private double	_minChiProb
private static String	_NAME
private double	_neighbor_threshold
private double	_neighborDeltaT
private double	_seed_threshold
private double	_timeWindow

Constructor Summary

Constructors

Constructor and Description
NearestNeighborRMSClusterer() Instantiate NearestNeighborRMS with default thresholds: seed_threshold = 4*RMS noise neighbor_threshold = 3*RMS noise cluster_threshold = 4*RMS noise
NearestNeighborRMSClusterer(double seed_threshold, double neighbor_threshold, double cluster_threshold) Instantiate NearestNeighborRMS with specified thresholds.

Method Summary

Modifier and Type	Method and Description
List<List<FittedRawTrackerHit>>	findClusters(List<FittedRawTrackerHit> base_hits) Find clusters using the nearest neighbor algorithm.
Collection<Integer>	getNearestNeighborCells(int cell)
boolean	isValidCell(int cell)
private boolean	passChisqCut(FittedRawTrackerHit hit)
private boolean	passTimingCut(FittedRawTrackerHit hit)
void	setClusterThreshold(double cluster_threshold) Set the cluster threshold.
void	setMeanTime(double _meanTime)
void	setNeighborDeltaT(double _neighborDeltaT)
void	setNeighborThreshold(double neighbor_threshold) Set the neighbor threshold.
void	setSeedThreshold(double seed_threshold) Set the seed threshold.
void	setTimeWindow(double _timeWindow)

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Detail

_NAME

private static String _NAME

_seed_threshold

private double _seed_threshold

_neighbor_threshold

private double _neighbor_threshold

_cluster_threshold

private double _cluster_threshold

_meanTime

private double _meanTime

_timeWindow

private double _timeWindow

_neighborDeltaT

private double _neighborDeltaT

_minChiProb

private final double _minChiProb

Constructor Detail

NearestNeighborRMSClusterer

public NearestNeighborRMSClusterer(double seed_threshold,
                                   double neighbor_threshold,
                                   double cluster_threshold)

Instantiate NearestNeighborRMS with specified thresholds. Seed threshold is the minimum charge to initiate a cluster. Neighbor threshold is the minimum charge to add a neighboring cell to a cluster. Cluster threshold is minimum charge of the entire cluster. All thresholds are in units of RMS noise of the channel(s).

Parameters:

seed_threshold - seed threshold

neighbor_threshold - neighbor threshold

cluster_threshold - cluster threshold

NearestNeighborRMSClusterer

public NearestNeighborRMSClusterer()

Instantiate NearestNeighborRMS with default thresholds: seed_threshold = 4*RMS noise neighbor_threshold = 3*RMS noise cluster_threshold = 4*RMS noise

Method Detail

setMeanTime

public void setMeanTime(double _meanTime)

setTimeWindow

public void setTimeWindow(double _timeWindow)

setNeighborDeltaT

public void setNeighborDeltaT(double _neighborDeltaT)

setSeedThreshold

public void setSeedThreshold(double seed_threshold)

Set the seed threshold. Units are RMS noise.

Parameters:

seed_threshold - seed threshold

setNeighborThreshold

public void setNeighborThreshold(double neighbor_threshold)

Set the neighbor threshold. Units are RMS noise.

Parameters:

neighbor_threshold - neighbor threshold

setClusterThreshold

public void setClusterThreshold(double cluster_threshold)

Set the cluster threshold. Units are RMS noise.

Parameters:

cluster_threshold - cluster threshold

findClusters

public List<List<FittedRawTrackerHit>> findClusters(List<FittedRawTrackerHit> base_hits)

Find clusters using the nearest neighbor algorithm.

Specified by:

findClusters in interface ClusteringAlgorithm

Parameters:

base_hits - List of RawTrackerHits to be clustered

Returns:

list of clusters, with a cluster being a list of RawTrackerHits

passTimingCut

private boolean passTimingCut(FittedRawTrackerHit hit)

passChisqCut

private boolean passChisqCut(FittedRawTrackerHit hit)

getNearestNeighborCells

public Collection<Integer> getNearestNeighborCells(int cell)

isValidCell

public boolean isValidCell(int cell)