Package org.hps.recon.ecal.cluster

ECal cluster reconstruction Drivers and utilities

See: Description

Interface Summary

Interface	Description
Clusterer	This is an interface for creating clusters and providing cut values to the clustering algorithms in a generic fashion.
NumericalCuts	This is an interface for accessing the numerical cut values of a clustering algorithm by index or name.

Class Summary

Class	Description
AbstractClusterer	This is an abstract class that Clusterer classes should implement to perform a clustering algorithm on a CalorimeterHit collection.
ClusterDriver	This is a Driver that creates ECAL Cluster collections using the Clusterer interface.
ClusterEnergyCorrection	This is the cluster energy correction requiring the particle id uncorrected cluster energy.
ClustererFactory	This is a convenience class for creating specific clustering algorithms via their name in the package org.hps.recon.ecal.cluster.
ClusterHitTCorrDriver	This driver specifically alters the time offsets of each crystal for 2015 data relative to pass 6.
ClusterPositionCorrection	This uses the uncorrected cluster energy to correct the position of the cluster.
ClusterRFTimeCorrDriver	This driver chooses the highest energy cluster within the trigger time window in an event and uses the RF time to set the trigger time of the event.
ClusterUtilities	This is a set of simple utility methods for clustering algorithms.
ClusterUtilities.ClusterEnergyComparator	Comparator of cluster energies.
ClusterUtilities.ClusterSeedComparator	Comparator of cluster energies.
ClusterUtilities.UniqueEnergyComparator	Compare CalorimeterHit energies and disambiguate equal values using the crystal position.
CopyClusterCollectionDriver	Copy a Cluster collection to a new collection via the BaseCluster class's copy constructor.
CTPClusterDriver	This is a Driver to wrap the GTPClusterer algorithm, allowing the limitClusterRange to be set publicly.
CTPClusterer	Creates clusters from CalorimeterHits in the HPSEcal detector.
CTPClusterer.TimeComparator
DualThresholdCosmicClusterDriver	This is a specialized Driver to use the dual threshold cosmic clustering algorithm.
DualThresholdCosmicClusterer	This is a more complicated version of the SimpleCosmicClusterer which uses a list of tight hits for seeding.
GTPClusterDriver	Class GTPClusterDriver is an implementation of the ClusterDriver class that defines employs the readout variant of the GTP hardware clustering algorithm.
GTPClusterer	Class GTPClusterer is an implementation of the abstract class AbstractClusterer that is responsible for producing clusters using the GTP algorithm employed by the hardware. The GTP algorithm produces clusters by finding hits representing local spatiotemporal energy maxima and forming a cluster from the hits within the aforementioned spatiotemporal window.
GTPOnlineClusterDriver	Class GTPOnlineClusterDriver is an implementation of the ClusterDriver class that defines employs the readout variant of the GTP hardware clustering algorithm.
GTPOnlineClusterer	Class GTPOnlineClusterer is an implementation of the abstract class AbstractClusterer that is responsible for producing clusters using the GTP algorithm employed by the hardware. The GTP algorithm produces clusters by finding hits representing local spatiotemporal energy maxima and forming a cluster from the hits within the aforementioned spatiotemporal window.
HardwareClusterPropertyCalculator	Cluster property calculator for hardware clusters.
HitTMCSmearDriver	This smears the MC hit time energy according to the resolution as found in the 2016 data.
LegacyClusterer	This Driver creates clusters from a CalorimeterHit input collection.
NearestNeighborClusterer	This is a simple (example) nearest-neighbor clustering algorithm.
NumericalCutsImpl	This is the basic implementation of the NumericalCuts interface.
ReconClusterDriver	This is an implementation of ClusterDriver specialized for the ReconClusterer.
ReconClusterer	This class creates clusters from a CalorimeterHit input collection.
ReconClusterPropertyCalculator
SimpleCosmicClusterer	This algorithm clusters an input list of CalorimeterHits using an iterative nearest neighbor algorithm.
SimpleReconClusterDriver	This is an implementation of ClusterDriver specialized for the SimpleReconClusterer.
SimpleReconClusterer	This clustering algorithm creates clusters from an input CalorimeterHit collection.
TimeDependentEcalGains	applies a time-dependent global correction factor to the energies of all ecal clusters.
TimeDependentEcalGains2016
TriggerTime	class to store time difference between the rf and the seed hit of the highest energy cluster in the trigger window.

Enum Summary

Enum	Description
ClusterType	Type codes for different kinds of ECAL clusters.

Package org.hps.recon.ecal.cluster Description

ECal cluster reconstruction Drivers and utilities