LArSoft  v07_13_02
Liquid Argon Software toolkit - http://larsoft.org/
lar_content::NearbyClusterMopUpAlgorithm Class Reference

NearbyClusterMopUpAlgorithm class. More...

#include "NearbyClusterMopUpAlgorithm.h"

Inheritance diagram for lar_content::NearbyClusterMopUpAlgorithm:
lar_content::ClusterMopUpBaseAlgorithm lar_content::MopUpBaseAlgorithm

Public Member Functions

 NearbyClusterMopUpAlgorithm ()
 Default constructor. More...
 
template<typename T >
const std::string GetListName (const T *const pT) const
 Find the name of the list hosting a specific object. More...
 

Protected Types

typedef std::unordered_map< const pandora::Cluster *, float > AssociationDetails
 
typedef std::unordered_map< const pandora::Cluster *, AssociationDetailsClusterAssociationMap
 

Protected Member Functions

virtual pandora::StatusCode Run ()
 
virtual void GetPfoClusterLists (pandora::ClusterList &clusterListU, pandora::ClusterList &clusterListV, pandora::ClusterList &clusterListW) const
 Get the two dimensional clusters contained in the input pfo list, divided into three different views. More...
 
virtual void GetDaughterClusterLists (pandora::ClusterList &clusterListU, pandora::ClusterList &clusterListV, pandora::ClusterList &clusterListW) const
 Get the two dimensional clusters contained in the input remant/daughter cluster lists, divided into three different views. More...
 
virtual void GetClusterLists (const pandora::ClusterList &inputClusterList, const bool availabilityFlag, pandora::ClusterList &clusterListU, pandora::ClusterList &clusterListV, pandora::ClusterList &clusterListW) const
 Get the two dimensional clusters contained in an input cluster list, divided into three different views. More...
 
virtual void MakeClusterMerges (const ClusterAssociationMap &clusterAssociationMap) const
 Make the cluster merges specified in the cluster association map, using list name information in the cluster list name map. More...
 

Protected Attributes

pandora::StringVector m_pfoListNames
 The list of pfo list names. More...
 
bool m_excludePfosContainingTracks
 Whether to exclude any pfos containing clusters flagged as fixed tracks. More...
 
pandora::StringVector m_daughterListNames
 The list of potential daughter object list names. More...
 

Private Member Functions

void ClusterMopUp (const pandora::ClusterList &pfoClusters, const pandora::ClusterList &remnantClusters) const
 Cluster mop up for a single view. This function is responsible for instructing pandora to make cluster alterations. More...
 
pandora::StatusCode ReadSettings (const pandora::TiXmlHandle xmlHandle)
 

Private Attributes

unsigned int m_minHitsInCluster
 Minimum number of hits in order to consider a cluster. More...
 
float m_vertexProximity
 Distance between cluster inner/outer centroid and vtx to declare cluster vtx associated. More...
 
float m_minClusterSeparation
 Minimum distance between parent and daughter clusters to declare clusters associated. More...
 
float m_touchingDistance
 Threshold (small) distance below which parent and daughter clusters are declated touching. More...
 

Detailed Description

Member Typedef Documentation

typedef std::unordered_map<const pandora::Cluster*, float> lar_content::ClusterMopUpBaseAlgorithm::AssociationDetails
protectedinherited

Definition at line 71 of file ClusterMopUpBaseAlgorithm.h.

typedef std::unordered_map<const pandora::Cluster*, AssociationDetails> lar_content::ClusterMopUpBaseAlgorithm::ClusterAssociationMap
protectedinherited

Definition at line 72 of file ClusterMopUpBaseAlgorithm.h.

Constructor & Destructor Documentation

lar_content::NearbyClusterMopUpAlgorithm::NearbyClusterMopUpAlgorithm ( )

Default constructor.

Definition at line 21 of file NearbyClusterMopUpAlgorithm.cc.

21  :
25  m_touchingDistance(0.001f)
26 {
27 }
float m_vertexProximity
Distance between cluster inner/outer centroid and vtx to declare cluster vtx associated.
TFile f
Definition: plotHisto.C:6
unsigned int m_minHitsInCluster
Minimum number of hits in order to consider a cluster.
float m_touchingDistance
Threshold (small) distance below which parent and daughter clusters are declated touching.
float m_minClusterSeparation
Minimum distance between parent and daughter clusters to declare clusters associated.

Member Function Documentation

void lar_content::NearbyClusterMopUpAlgorithm::ClusterMopUp ( const pandora::ClusterList &  pfoClusters,
const pandora::ClusterList &  remnantClusters 
) const
privatevirtual

Cluster mop up for a single view. This function is responsible for instructing pandora to make cluster alterations.

Parameters
pfoClustersthe list of pfo clusters
remnantClustersthe list of remnant clusters

Implements lar_content::ClusterMopUpBaseAlgorithm.

Definition at line 31 of file NearbyClusterMopUpAlgorithm.cc.

References f, lar_content::LArClusterHelper::GetClosestDistance(), lar_content::LArClusterHelper::GetClusterHitType(), m_minClusterSeparation, m_minHitsInCluster, m_touchingDistance, m_vertexProximity, lar_content::ClusterMopUpBaseAlgorithm::MakeClusterMerges(), min, lar_content::LArGeometryHelper::ProjectPosition(), and lar_content::LArClusterHelper::SortByNHits().

32 {
33  ClusterAssociationMap clusterAssociationMap;
34 
35  const VertexList *pVertexList(NULL);
36  PANDORA_THROW_RESULT_IF(STATUS_CODE_SUCCESS, !=, PandoraContentApi::GetCurrentList(*this, pVertexList));
37  const Vertex *const pVertex(((pVertexList->size() == 1) && (VERTEX_3D == (*(pVertexList->begin()))->GetVertexType())) ? *(pVertexList->begin()) : NULL);
38 
39  ClusterVector sortedPfoClusters(pfoClusters.begin(), pfoClusters.end());
40  std::sort(sortedPfoClusters.begin(), sortedPfoClusters.end(), LArClusterHelper::SortByNHits);
41 
42  ClusterVector sortedRemnantClusters(remnantClusters.begin(), remnantClusters.end());
43  std::sort(sortedRemnantClusters.begin(), sortedRemnantClusters.end(), LArClusterHelper::SortByNHits);
44 
45  for (const Cluster *const pClusterP : sortedPfoClusters)
46  {
47  const HitType hitType(LArClusterHelper::GetClusterHitType(pClusterP));
48  const CartesianVector vertexPosition2D(!pVertex ? CartesianVector(0.f, 0.f, 0.f) :
49  LArGeometryHelper::ProjectPosition(this->GetPandora(), pVertex->GetPosition(), hitType));
50 
51  const float innerPV((vertexPosition2D - pClusterP->GetCentroid(pClusterP->GetInnerPseudoLayer())).GetMagnitude());
52  const float outerPV((vertexPosition2D - pClusterP->GetCentroid(pClusterP->GetOuterPseudoLayer())).GetMagnitude());
53 
54  for (const Cluster *const pClusterR : sortedRemnantClusters)
55  {
56  if (pClusterR->GetNCaloHits() < m_minHitsInCluster)
57  continue;
58 
59  const float innerRV((vertexPosition2D - pClusterR->GetCentroid(pClusterR->GetInnerPseudoLayer())).GetMagnitude());
60  const float outerRV((vertexPosition2D - pClusterR->GetCentroid(pClusterR->GetOuterPseudoLayer())).GetMagnitude());
61 
62  // ATTN Could use pointing clusters here, for consistency with other vertex association mechanics
63  if (pVertex && (((innerPV < m_vertexProximity) || (outerPV < m_vertexProximity)) && ((innerRV < m_vertexProximity) || (outerRV < m_vertexProximity))))
64  continue;
65 
66  const float innerRP(LArClusterHelper::GetClosestDistance(pClusterR->GetCentroid(pClusterR->GetInnerPseudoLayer()), pClusterP));
67  const float outerRP(LArClusterHelper::GetClosestDistance(pClusterR->GetCentroid(pClusterR->GetOuterPseudoLayer()), pClusterP));
68 
69  const float minSeparation(std::min(innerRP, outerRP));
70 
71  if (minSeparation > m_minClusterSeparation)
72  continue;
73 
74  // ATTN Use of ClusterMopUp base algorithm assumes bigger figure of merit means better association
75  if (m_touchingDistance < std::numeric_limits<float>::epsilon())
76  throw StatusCodeException(STATUS_CODE_INVALID_PARAMETER);
77 
78  AssociationDetails &associationDetails(clusterAssociationMap[pClusterR]);
79  const float figureOfMerit((minSeparation < m_touchingDistance) ? 1.f / m_touchingDistance : 1.f / minSeparation);
80 
81  if (!associationDetails.insert(AssociationDetails::value_type(pClusterP, figureOfMerit)).second)
82  throw StatusCodeException(STATUS_CODE_ALREADY_PRESENT);
83  }
84  }
85 
86  this->MakeClusterMerges(clusterAssociationMap);
87 }
static bool SortByNHits(const pandora::Cluster *const pLhs, const pandora::Cluster *const pRhs)
Sort clusters by number of hits, then layer span, then inner layer, then position, then pulse-height.
virtual void MakeClusterMerges(const ClusterAssociationMap &clusterAssociationMap) const
Make the cluster merges specified in the cluster association map, using list name information in the ...
std::unordered_map< const pandora::Cluster *, float > AssociationDetails
std::unordered_map< const pandora::Cluster *, AssociationDetails > ClusterAssociationMap
float m_vertexProximity
Distance between cluster inner/outer centroid and vtx to declare cluster vtx associated.
static pandora::CartesianVector ProjectPosition(const pandora::Pandora &pandora, const pandora::CartesianVector &position3D, const pandora::HitType view)
Project 3D position into a given 2D view.
static pandora::HitType GetClusterHitType(const pandora::Cluster *const pCluster)
Get the hit type associated with a two dimensional cluster.
TFile f
Definition: plotHisto.C:6
unsigned int m_minHitsInCluster
Minimum number of hits in order to consider a cluster.
float m_touchingDistance
Threshold (small) distance below which parent and daughter clusters are declated touching.
float m_minClusterSeparation
Minimum distance between parent and daughter clusters to declare clusters associated.
std::vector< art::Ptr< recob::Cluster > > ClusterVector
Int_t min
Definition: plot.C:26
std::list< Vertex > VertexList
Definition: DCEL.h:178
static float GetClosestDistance(const pandora::ClusterList &clusterList1, const pandora::ClusterList &clusterList2)
Get closest distance between clusters in a pair of cluster lists.
void lar_content::ClusterMopUpBaseAlgorithm::GetClusterLists ( const pandora::ClusterList &  inputClusterList,
const bool  availabilityFlag,
pandora::ClusterList &  clusterListU,
pandora::ClusterList &  clusterListV,
pandora::ClusterList &  clusterListW 
) const
protectedvirtualinherited

Get the two dimensional clusters contained in an input cluster list, divided into three different views.

Parameters
inputClusterListthe input cluster list
availabilityFlagonly clusters with matching availability will be considered
clusterListUto receive the list of clusters in the u view
clusterListVto receive the list of clusters in the v view
clusterListWto receive the list of clusters in the w view

Definition at line 82 of file ClusterMopUpBaseAlgorithm.cc.

References lar_content::LArClusterHelper::GetClusterHitType(), and target.

Referenced by lar_content::ClusterMopUpBaseAlgorithm::GetDaughterClusterLists(), and lar_content::ClusterMopUpBaseAlgorithm::GetPfoClusterLists().

84 {
85  for (ClusterList::const_iterator cIter = inputClusterList.begin(), cIterEnd = inputClusterList.end(); cIter != cIterEnd; ++cIter)
86  {
87  const Cluster *const pCluster(*cIter);
88 
89  if (availabilityFlag != pCluster->IsAvailable())
90  continue;
91 
92  const HitType hitType(LArClusterHelper::GetClusterHitType(pCluster));
93 
94  if ((TPC_VIEW_U != hitType) && (TPC_VIEW_V != hitType) && (TPC_VIEW_W != hitType))
95  continue;
96 
97  ClusterList &target((TPC_VIEW_U == hitType) ? clusterListU : (TPC_VIEW_V == hitType) ? clusterListV : clusterListW);
98  target.push_back(pCluster);
99  }
100 }
cout<< "-> Edep in the target
Definition: analysis.C:54
static pandora::HitType GetClusterHitType(const pandora::Cluster *const pCluster)
Get the hit type associated with a two dimensional cluster.
intermediate_table::const_iterator const_iterator
void lar_content::ClusterMopUpBaseAlgorithm::GetDaughterClusterLists ( pandora::ClusterList &  clusterListU,
pandora::ClusterList &  clusterListV,
pandora::ClusterList &  clusterListW 
) const
protectedvirtualinherited

Get the two dimensional clusters contained in the input remant/daughter cluster lists, divided into three different views.

Parameters
clusterListUto receive the list of clusters in the u view
clusterListVto receive the list of clusters in the v view
clusterListWto receive the list of clusters in the w view

Definition at line 67 of file ClusterMopUpBaseAlgorithm.cc.

References lar_content::ClusterMopUpBaseAlgorithm::GetClusterLists(), and lar_content::MopUpBaseAlgorithm::m_daughterListNames.

Referenced by lar_content::ClusterMopUpBaseAlgorithm::Run().

68 {
69  for (const std::string &daughterListName : m_daughterListNames)
70  {
71  const ClusterList *pClusterList(nullptr);
72 
73  if (STATUS_CODE_SUCCESS != PandoraContentApi::GetList(*this, daughterListName, pClusterList))
74  continue;
75 
76  this->GetClusterLists(*pClusterList, true, clusterListU, clusterListV, clusterListW);
77  }
78 }
virtual void GetClusterLists(const pandora::ClusterList &inputClusterList, const bool availabilityFlag, pandora::ClusterList &clusterListU, pandora::ClusterList &clusterListV, pandora::ClusterList &clusterListW) const
Get the two dimensional clusters contained in an input cluster list, divided into three different vie...
pandora::StringVector m_daughterListNames
The list of potential daughter object list names.
template<typename T >
template const std::string lar_content::MopUpBaseAlgorithm::GetListName ( const T *const  pT) const
inherited

Find the name of the list hosting a specific object.

Parameters
pTthe address of the object
Returns
the name of the list

Definition at line 19 of file MopUpBaseAlgorithm.cc.

Referenced by lar_content::IsolatedClusterMopUpAlgorithm::DissolveClustersToHits(), lar_content::ClusterMopUpBaseAlgorithm::MakeClusterMerges(), and lar_content::SlidingConeClusterMopUpAlgorithm::MakeClusterMerges().

20 {
21  std::string currentListName;
22  const MANAGED_CONTAINER<const T*> *pCurrentList(nullptr);
23  (void) PandoraContentApi::GetCurrentList(*this, pCurrentList, currentListName);
24 
25  if (pCurrentList && (pCurrentList->end() != std::find(pCurrentList->begin(), pCurrentList->end(), pT)))
26  return currentListName;
27 
28  for (const std::string &listName : m_daughterListNames)
29  {
30  const MANAGED_CONTAINER<const T*> *pList(nullptr);
31  (void) PandoraContentApi::GetList(*this, listName, pList);
32 
33  if (pList && (pList->end() != std::find(pList->begin(), pList->end(), pT)))
34  return listName;
35  }
36 
37  throw StatusCodeException(STATUS_CODE_NOT_FOUND);
38 }
pandora::StringVector m_daughterListNames
The list of potential daughter object list names.
void lar_content::ClusterMopUpBaseAlgorithm::GetPfoClusterLists ( pandora::ClusterList &  clusterListU,
pandora::ClusterList &  clusterListV,
pandora::ClusterList &  clusterListW 
) const
protectedvirtualinherited

Get the two dimensional clusters contained in the input pfo list, divided into three different views.

Parameters
clusterListUto receive the list of clusters in the u view
clusterListVto receive the list of clusters in the v view
clusterListWto receive the list of clusters in the w view

Definition at line 45 of file ClusterMopUpBaseAlgorithm.cc.

References lar_content::ClusterMopUpBaseAlgorithm::GetClusterLists(), lar_content::LArPfoHelper::IsTrack(), lar_content::ClusterMopUpBaseAlgorithm::m_excludePfosContainingTracks, and lar_content::ClusterMopUpBaseAlgorithm::m_pfoListNames.

Referenced by lar_content::ClusterMopUpBaseAlgorithm::Run().

46 {
47  for (StringVector::const_iterator sIter = m_pfoListNames.begin(), sIterEnd = m_pfoListNames.end(); sIter != sIterEnd; ++sIter)
48  {
49  const PfoList *pPfoList = NULL;
50  if (STATUS_CODE_SUCCESS != PandoraContentApi::GetList(*this, *sIter, pPfoList))
51  continue;
52 
53  for (PfoList::const_iterator pIter = pPfoList->begin(), pIterEnd = pPfoList->end(); pIter != pIterEnd; ++pIter)
54  {
55  const ParticleFlowObject *const pPfo = *pIter;
56 
58  continue;
59 
60  this->GetClusterLists(pPfo->GetClusterList(), false, clusterListU, clusterListV, clusterListW);
61  }
62  }
63 }
virtual void GetClusterLists(const pandora::ClusterList &inputClusterList, const bool availabilityFlag, pandora::ClusterList &clusterListU, pandora::ClusterList &clusterListV, pandora::ClusterList &clusterListW) const
Get the two dimensional clusters contained in an input cluster list, divided into three different vie...
bool m_excludePfosContainingTracks
Whether to exclude any pfos containing clusters flagged as fixed tracks.
static bool IsTrack(const pandora::ParticleFlowObject *const pPfo)
Return track flag based on Pfo Particle ID.
intermediate_table::const_iterator const_iterator
pandora::StringVector m_pfoListNames
The list of pfo list names.
void lar_content::ClusterMopUpBaseAlgorithm::MakeClusterMerges ( const ClusterAssociationMap clusterAssociationMap) const
protectedvirtualinherited

Make the cluster merges specified in the cluster association map, using list name information in the cluster list name map.

Parameters
clusterAssociationMapthe cluster association map

Definition at line 104 of file ClusterMopUpBaseAlgorithm.cc.

References lar_content::MopUpBaseAlgorithm::GetListName(), max, and lar_content::LArClusterHelper::SortByNHits().

Referenced by lar_content::ConeClusterMopUpAlgorithm::ClusterMopUp(), ClusterMopUp(), and lar_content::BoundedClusterMopUpAlgorithm::ClusterMopUp().

105 {
106  ClusterVector sortedRemnantClusters;
107  for (const auto &remnantMapEntry : clusterAssociationMap) sortedRemnantClusters.push_back(remnantMapEntry.first);
108  std::sort(sortedRemnantClusters.begin(), sortedRemnantClusters.end(), LArClusterHelper::SortByNHits);
109 
110  for (const Cluster *const pRemnantCluster : sortedRemnantClusters)
111  {
112  const AssociationDetails &associationDetails(clusterAssociationMap.at(pRemnantCluster));
113  const Cluster *pBestPfoCluster(nullptr);
114  float bestFigureOfMerit(-std::numeric_limits<float>::max());
115 
116  ClusterVector sortedPfoClusters;
117  for (const auto &pfoMapEntry : associationDetails) sortedPfoClusters.push_back(pfoMapEntry.first);
118  std::sort(sortedPfoClusters.begin(), sortedPfoClusters.end(), LArClusterHelper::SortByNHits);
119 
120  for (const Cluster *const pPfoCluster : sortedPfoClusters)
121  {
122  const float figureOfMerit(associationDetails.at(pPfoCluster));
123 
124  if (figureOfMerit > bestFigureOfMerit)
125  {
126  pBestPfoCluster = pPfoCluster;
127  bestFigureOfMerit = figureOfMerit;
128  }
129  }
130 
131  if (!pBestPfoCluster)
132  continue;
133 
134  PANDORA_THROW_RESULT_IF(STATUS_CODE_SUCCESS, !=, PandoraContentApi::MergeAndDeleteClusters(*this, pBestPfoCluster, pRemnantCluster,
135  this->GetListName(pBestPfoCluster), this->GetListName(pRemnantCluster)));
136  }
137 }
static bool SortByNHits(const pandora::Cluster *const pLhs, const pandora::Cluster *const pRhs)
Sort clusters by number of hits, then layer span, then inner layer, then position, then pulse-height.
std::unordered_map< const pandora::Cluster *, float > AssociationDetails
const std::string GetListName(const T *const pT) const
Find the name of the list hosting a specific object.
Int_t max
Definition: plot.C:27
std::vector< art::Ptr< recob::Cluster > > ClusterVector
StatusCode lar_content::NearbyClusterMopUpAlgorithm::ReadSettings ( const pandora::TiXmlHandle  xmlHandle)
privatevirtual

Reimplemented from lar_content::ClusterMopUpBaseAlgorithm.

Definition at line 91 of file NearbyClusterMopUpAlgorithm.cc.

References m_minClusterSeparation, m_minHitsInCluster, m_touchingDistance, m_vertexProximity, and lar_content::ClusterMopUpBaseAlgorithm::ReadSettings().

92 {
93  PANDORA_RETURN_RESULT_IF_AND_IF(STATUS_CODE_SUCCESS, STATUS_CODE_NOT_FOUND, !=, XmlHelper::ReadValue(xmlHandle,
94  "MinHitsInCluster", m_minHitsInCluster));
95 
96  PANDORA_RETURN_RESULT_IF_AND_IF(STATUS_CODE_SUCCESS, STATUS_CODE_NOT_FOUND, !=, XmlHelper::ReadValue(xmlHandle,
97  "VertexProximity", m_vertexProximity));
98 
99  PANDORA_RETURN_RESULT_IF_AND_IF(STATUS_CODE_SUCCESS, STATUS_CODE_NOT_FOUND, !=, XmlHelper::ReadValue(xmlHandle,
100  "MinClusterSeparation", m_minClusterSeparation));
101 
102  PANDORA_RETURN_RESULT_IF_AND_IF(STATUS_CODE_SUCCESS, STATUS_CODE_NOT_FOUND, !=, XmlHelper::ReadValue(xmlHandle,
103  "TouchingDistance", m_touchingDistance));
104 
105  return ClusterMopUpBaseAlgorithm::ReadSettings(xmlHandle);
106 }
float m_vertexProximity
Distance between cluster inner/outer centroid and vtx to declare cluster vtx associated.
virtual pandora::StatusCode ReadSettings(const pandora::TiXmlHandle xmlHandle)
unsigned int m_minHitsInCluster
Minimum number of hits in order to consider a cluster.
float m_touchingDistance
Threshold (small) distance below which parent and daughter clusters are declated touching.
float m_minClusterSeparation
Minimum distance between parent and daughter clusters to declare clusters associated.
StatusCode lar_content::ClusterMopUpBaseAlgorithm::Run ( )
protectedvirtualinherited

Definition at line 28 of file ClusterMopUpBaseAlgorithm.cc.

References lar_content::ClusterMopUpBaseAlgorithm::ClusterMopUp(), lar_content::ClusterMopUpBaseAlgorithm::GetDaughterClusterLists(), and lar_content::ClusterMopUpBaseAlgorithm::GetPfoClusterLists().

29 {
30  ClusterList pfoClusterListU, pfoClusterListV, pfoClusterListW;
31  this->GetPfoClusterLists(pfoClusterListU, pfoClusterListV, pfoClusterListW);
32 
33  ClusterList daughterClusterListU, daughterClusterListV, daughterClusterListW;
34  this->GetDaughterClusterLists(daughterClusterListU, daughterClusterListV, daughterClusterListW);
35 
36  this->ClusterMopUp(pfoClusterListU, daughterClusterListU);
37  this->ClusterMopUp(pfoClusterListV, daughterClusterListV);
38  this->ClusterMopUp(pfoClusterListW, daughterClusterListW);
39 
40  return STATUS_CODE_SUCCESS;
41 }
virtual void GetPfoClusterLists(pandora::ClusterList &clusterListU, pandora::ClusterList &clusterListV, pandora::ClusterList &clusterListW) const
Get the two dimensional clusters contained in the input pfo list, divided into three different views...
virtual void ClusterMopUp(const pandora::ClusterList &pfoClusters, const pandora::ClusterList &remnantClusters) const =0
Cluster mop up for a single view. This function is responsible for instructing pandora to make cluste...
virtual void GetDaughterClusterLists(pandora::ClusterList &clusterListU, pandora::ClusterList &clusterListV, pandora::ClusterList &clusterListW) const
Get the two dimensional clusters contained in the input remant/daughter cluster lists, divided into three different views.

Member Data Documentation

pandora::StringVector lar_content::MopUpBaseAlgorithm::m_daughterListNames
protectedinherited
bool lar_content::ClusterMopUpBaseAlgorithm::m_excludePfosContainingTracks
protectedinherited
float lar_content::NearbyClusterMopUpAlgorithm::m_minClusterSeparation
private

Minimum distance between parent and daughter clusters to declare clusters associated.

Definition at line 37 of file NearbyClusterMopUpAlgorithm.h.

Referenced by ClusterMopUp(), and ReadSettings().

unsigned int lar_content::NearbyClusterMopUpAlgorithm::m_minHitsInCluster
private

Minimum number of hits in order to consider a cluster.

Definition at line 35 of file NearbyClusterMopUpAlgorithm.h.

Referenced by ClusterMopUp(), and ReadSettings().

pandora::StringVector lar_content::ClusterMopUpBaseAlgorithm::m_pfoListNames
protectedinherited
float lar_content::NearbyClusterMopUpAlgorithm::m_touchingDistance
private

Threshold (small) distance below which parent and daughter clusters are declated touching.

Definition at line 38 of file NearbyClusterMopUpAlgorithm.h.

Referenced by ClusterMopUp(), and ReadSettings().

float lar_content::NearbyClusterMopUpAlgorithm::m_vertexProximity
private

Distance between cluster inner/outer centroid and vtx to declare cluster vtx associated.

Definition at line 36 of file NearbyClusterMopUpAlgorithm.h.

Referenced by ClusterMopUp(), and ReadSettings().


The documentation for this class was generated from the following files: