cluster Namespace Reference

Cluster finding and building. More...

Namespaces
	details
	Implementation details of cluster namespace.

Classes
class	BlurredClustering
class	BlurredClusteringAlg
struct	cluster_merge_info
class	cluster_params
class	ClusterAna
class	ClusterAndHitMerger
	Class merging clusters: recomputes start and end position and hit list. More...
class	ClusterCheater
class	ClusterCrawler
class	ClusterCrawlerAlg
class	ClusterCreator
	Class managing the creation of a new recob::Cluster object. More...
class	ClusterMatchAlg
class	ClusterMatchTQ
class	ClusterMergeAlg
class	ClusterMergeHelper
class	ClusterMerger
	Class merging clusters: recomputes start and end position and hit list. More...
class	ClusterParamsAlg
class	ClusterParamsAlgBase
	Algorithm collection class computing cluster parameters. More...
class	ClusterParamsImportWrapper
	Wrapper for ClusterParamsAlgBase objects to accept diverse input. More...
class	ClusterPCA
class	CRUException
class	DBcluster
class	DBCluster3D
class	DBclusterAna
class	DBScan3DAlg
class	DBScanAlg
class	EndPointAlg
	Algorithm to find 2D end points. More...
class	EndPointModule
	module to find 2D end points More...
struct	eveLoc
class	fuzzyCluster
class	fuzzyClusterAlg
class	FuzzyClusterMerger
struct	HitLoc
class	HoughBaseAlg
class	HoughLineFinder
class	HoughLineFinderAna
class	HoughTransform
class	HoughTransformCounters
	CountersMap with access optimized for Hough Transform algorithm. More...
class	LazyClusterParamsAlg
	Algorithm class inheriting cluster parameters. More...
class	LineCluster
	Produces clusters by ClusterCrawler algorithm. More...
class	LineMerger
class	MergeClusterAlg
class	OverriddenClusterParamsAlg
	Algorithm collection class computing cluster parameters. More...
class	SimpleClusterMerger
class	SimpleLineCluster
class	SmallClusterFilter
class	SmallClusterFinder
class	SmallClusterFinderAlg
class	StandardClusterParamsAlg
	Algorithm collection class computing cluster parameters. More...
class	TrajCluster
	Produces clusters by the TrajCluster algorithm. More...

Enumerations
enum	MergeMode : short int { MergeMode::Shower, MergeMode::Normal, MergeMode::ShowerIntercept, MergeMode::ChargeAsymAngle }

Functions
bool	sortHitsByWire (art::Ptr< recob::Hit > a, art::Ptr< recob::Hit > b)
bool	SortHits (HitLoc const &h1, HitLoc const &h2)
bool	SortByLowHit (unsigned int i, unsigned int j)

Variables
const unsigned int	kNO_CLUSTER = UINT_MAX
const unsigned int	kNOISE_CLUSTER = UINT_MAX-1

Detailed Description

Cluster finding and building.

2D end point reconstruction

Cluster reconstruction namespace.

The algorithm is based on: C. Harris and M. Stephens (1988). "A combined corner and edge detector". Proceedings of the 4th Alvey Vision Conference. pp. 147-151. B. Morgan (2010). "Interest Point Detection for Reconstruction in High Granularity Tracking Detectors". arXiv:1006.3012v1 [physics.ins-det]

ClusterMatchTQ class

tjyan.nosp@m.g@fn.nosp@m.al.go.nosp@m.v

Algorithm for matching clusters between different views based on time and charge information

Input: a list of clusters and all hits associated with clusters Output: a vector of index vectors. Each group of indices represent a particle candidate

Enumeration Type Documentation

enum cluster::MergeMode : short int

strong

Enumerator
Shower
Normal
ShowerIntercept
ChargeAsymAngle

Definition at line 49 of file fuzzyClusterAlg.cxx.

                      : short int {
    Shower,
    Normal,
    ShowerIntercept,
    ChargeAsymAngle
  }; // MergeMode

Function Documentation

bool cluster::SortByLowHit	(	unsigned int	i,
		unsigned int	j
	)

Definition at line 127 of file ClusterCrawlerAlg.cxx.

Referenced by cluster::ClusterCrawlerAlg::AddHit(), cluster::ClusterCrawlerAlg::ChkClusterDS(), and cluster::ClusterCrawlerAlg::MergeOverlap().

{return ((i > j));}

bool cluster::SortHits	(	HitLoc const &	h1,
		HitLoc const &	h2
	)

Definition at line 115 of file TrajCluster_module.cc.

References cluster::HitLoc::ctp, cluster::HitLoc::localIndex, cluster::HitLoc::tick, and cluster::HitLoc::wire.

Referenced by cluster::TrajCluster::produce().

  {
    // sort by hit location (Cryostat, TPC, Plane, Wire, StartTick, hit LocalIndex)
    if(h1.ctp != h2.ctp) return h1.ctp < h2.ctp;
    if(h1.wire != h2.wire) return h1.wire < h2.wire;
    if(h1.tick != h2.tick) return h1.tick < h2.tick;
    return h1.localIndex < h2.localIndex;
  } // SortHits

bool cluster::sortHitsByWire	(	art::Ptr< recob::Hit >	a,
		art::Ptr< recob::Hit >	b
	)

Definition at line 87 of file ClusterCheater_module.cc.

References geo::WireID::Wire, and recob::Hit::WireID().

Referenced by cluster::ClusterCheater::produce().

  {
    return a->WireID().Wire < b->WireID().Wire;
  }

Variable Documentation

const unsigned int cluster::kNO_CLUSTER = UINT_MAX

Definition at line 253 of file DBScanAlg.cxx.

Referenced by cluster::DBScanAlg::ExpandCluster(), cluster::DBScanAlg::InitScan(), cluster::DBScanAlg::run_dbscan_cluster(), cluster::DBScanAlg::run_FN_cluster(), cluster::DBScanAlg::run_FN_naive_cluster(), cluster::fuzzyClusterAlg::run_fuzzy_cluster(), and cluster::fuzzyClusterAlg::trackCluster::trackCluster().

const unsigned int cluster::kNOISE_CLUSTER = UINT_MAX-1

Definition at line 254 of file DBScanAlg.cxx.

Referenced by cluster::DBScanAlg::ExpandCluster(), cluster::DBScanAlg::run_dbscan_cluster(), cluster::fuzzyClusterAlg::run_fuzzy_cluster(), and cluster::fuzzyClusterAlg::trackCluster::trackCluster().