CutClusterCharacterisationAlgorithm class. More...

#include "CutClusterCharacterisationAlgorithm.h"

Inheritance diagram for lar_content::CutClusterCharacterisationAlgorithm:

Public Member Functions
	CutClusterCharacterisationAlgorithm ()
	Default constructor. More...

Static Public Member Functions
static float	GetVertexDistance (const pandora::Algorithm const pAlgorithm, const pandora::Cluster const pCluster)
	Get the distance between the interaction vertex (if present in the current vertex list) and a provided cluster. More...

static float	GetShowerFitWidth (const pandora::Algorithm const pAlgorithm, const pandora::Cluster const pCluster, const unsigned int showerFitWindow)
	Get a measure of the width of a cluster, using a sliding shower fit result. More...

Protected Member Functions
pandora::StatusCode	Run ()

Protected Attributes
pandora::StringVector	m_inputClusterListNames
	The names of the input cluster lists. More...

bool	m_zeroMode
	Whether to zero all existing cluster particle id, overrides all other parameters. More...

bool	m_overwriteExistingId
	Whether to consider any clusters that already have an assigned particle id. More...

bool	m_useUnavailableClusters
	Whether to consider clusters that are already constituents of a pfo. More...

Private Member Functions
virtual bool	IsClearTrack (const pandora::Cluster *const pCluster) const
	Whether cluster is identified as a clear track. More...

pandora::StatusCode	ReadSettings (const pandora::TiXmlHandle xmlHandle)

Private Attributes
unsigned int	m_slidingFitWindow
	The layer window for the sliding linear fits. More...

unsigned int	m_slidingShowerFitWindow
	The layer window for the sliding shower fits. More...

unsigned int	m_minCaloHitsCut
	The minimum number of calo hits to qualify as a track. More...

float	m_maxShowerLengthCut
	The maximum cluster length to qualify as a shower. More...

float	m_pathLengthRatioCut
	The maximum ratio of path length to straight line length to qualify as a track. More...

float	m_rTWidthRatioCut
	The maximum ratio of transverse fit position width to straight line length to qualify as a track. More...

float	m_vertexDistanceRatioCut
	The maximum ratio of vertex separation to straight line length to qualify as a track. More...

float	m_showerWidthRatioCut
	The maximum ratio of shower fit width to straight line length to qualify as a track. More...

Detailed Description

CutClusterCharacterisationAlgorithm class.

Definition at line 19 of file CutClusterCharacterisationAlgorithm.h.

Constructor & Destructor Documentation

lar_content::CutClusterCharacterisationAlgorithm::CutClusterCharacterisationAlgorithm ( )

Default constructor.

Definition at line 24 of file CutClusterCharacterisationAlgorithm.cc.

                                                                          :
     m_slidingFitWindow(5),
     m_slidingShowerFitWindow(10),
     m_minCaloHitsCut(6),
     m_maxShowerLengthCut(80.f),
     m_pathLengthRatioCut(1.005f),
     m_rTWidthRatioCut(0.05f),
     m_vertexDistanceRatioCut(0.5f),
     m_showerWidthRatioCut(0.35f)
 {
 }

Member Function Documentation

float lar_content::CutClusterCharacterisationAlgorithm::GetShowerFitWidth	(	const pandora::Algorithm *const	pAlgorithm,
		const pandora::Cluster *const	pCluster,
		const unsigned int	showerFitWindow
	)

static

Get a measure of the width of a cluster, using a sliding shower fit result.

Parameters

pAlgorithm	the address of the calling algorithm
pCluster	address of the cluster
showerFitWindow	the layer window used for the sliding shower fit

Returns: the shower fit width

Definition at line 55 of file CutClusterCharacterisationAlgorithm.cc.

References f, lar_content::TwoDSlidingFitResult::GetLayerFitResultMap(), lar_content::TwoDSlidingShowerFitResult::GetNegativeEdgeFitResult(), lar_content::TwoDSlidingShowerFitResult::GetPositiveEdgeFitResult(), lar_content::TwoDSlidingShowerFitResult::GetShowerFitResult(), and lar_content::LArGeometryHelper::GetWireZPitch().

Referenced by lar_content::CutPfoCharacterisationAlgorithm::CutPfoCharacterisationAlgorithm(), IsClearTrack(), and lar_content::TwoDShowerFitFeatureTool::Run().

 {
     try
     {
         const TwoDSlidingShowerFitResult showerFitResult(pCluster, showerFitWindow, LArGeometryHelper::GetWireZPitch(pAlgorithm->GetPandora()));
         const LayerFitResultMap &layerFitResultMapS(showerFitResult.GetShowerFitResult().GetLayerFitResultMap());
         const LayerFitResultMap &layerFitResultMapP(showerFitResult.GetPositiveEdgeFitResult().GetLayerFitResultMap());
         const LayerFitResultMap &layerFitResultMapN(showerFitResult.GetNegativeEdgeFitResult().GetLayerFitResultMap());
 
         if (!layerFitResultMapS.empty())
         {
             float showerFitWidth(0.f);
 
             for (const auto &mapEntryS : layerFitResultMapS)
             {
                 LayerFitResultMap::const_iterator iterP = layerFitResultMapP.find(mapEntryS.first);
                 LayerFitResultMap::const_iterator iterN = layerFitResultMapN.find(mapEntryS.first);
 
                 if ((layerFitResultMapP.end() != iterP) && (layerFitResultMapN.end() != iterN))
                     showerFitWidth += std::fabs(iterP->second.GetFitT() - iterN->second.GetFitT());
             }
 
             return showerFitWidth;
         }
     }
     catch (const StatusCodeException &)
     {
     }
 
     return -1.f;
 }

float lar_content::CutClusterCharacterisationAlgorithm::GetVertexDistance	(	const pandora::Algorithm *const	pAlgorithm,
		const pandora::Cluster *const	pCluster
	)

static

Get the distance between the interaction vertex (if present in the current vertex list) and a provided cluster.

Parameters

pAlgorithm	the address of the calling algorithm
pCluster	address of the cluster

Returns: the vertex distance

Definition at line 38 of file CutClusterCharacterisationAlgorithm.cc.

References lar_content::LArClusterHelper::GetClosestDistance(), lar_content::LArClusterHelper::GetClusterHitType(), and lar_content::LArGeometryHelper::ProjectPosition().

Referenced by lar_content::CutPfoCharacterisationAlgorithm::CutPfoCharacterisationAlgorithm(), IsClearTrack(), and lar_content::TwoDVertexDistanceFeatureTool::Run().

 {
     const VertexList *pVertexList = nullptr;
     (void) PandoraContentApi::GetCurrentList(*pAlgorithm, pVertexList);
 
     if (!pVertexList || (pVertexList->size() != 1) || (VERTEX_3D != pVertexList->front()->GetVertexType()))
         return -1.f;
 
     const Vertex *const pVertex(pVertexList->front());
     const HitType hitType(LArClusterHelper::GetClusterHitType(pCluster));
 
     const CartesianVector vertexPosition2D(LArGeometryHelper::ProjectPosition(pAlgorithm->GetPandora(), pVertex->GetPosition(), hitType));
     return LArClusterHelper::GetClosestDistance(vertexPosition2D, pCluster);
 }

bool lar_content::CutClusterCharacterisationAlgorithm::IsClearTrack ( const pandora::Cluster *const pCluster ) const

privatevirtual

Whether cluster is identified as a clear track.

Parameters

pCluster address of the relevant cluster

Returns: boolean

Implements lar_content::ClusterCharacterisationBaseAlgorithm.

Definition at line 90 of file CutClusterCharacterisationAlgorithm.cc.

References f, lar_content::TwoDSlidingFitResult::GetGlobalMaxLayerPosition(), lar_content::TwoDSlidingFitResult::GetGlobalMinLayerPosition(), lar_content::TwoDSlidingFitResult::GetGlobalPosition(), lar_content::TwoDSlidingFitResult::GetLayerFitResultMap(), GetShowerFitWidth(), GetVertexDistance(), lar_content::LArGeometryHelper::GetWireZPitch(), m_maxShowerLengthCut, m_minCaloHitsCut, m_pathLengthRatioCut, m_rTWidthRatioCut, m_showerWidthRatioCut, m_slidingFitWindow, m_slidingShowerFitWindow, m_vertexDistanceRatioCut, max, and min.

 {
     if (pCluster->GetNCaloHits() < m_minCaloHitsCut)
         return false;
 
     float straightLineLength(-1.f), integratedPathLength(-1.f);
     float rTMin(+std::numeric_limits<float>::max()), rTMax(-std::numeric_limits<float>::max());
 
     try
     {
         const TwoDSlidingFitResult slidingFitResult(pCluster, m_slidingFitWindow, LArGeometryHelper::GetWireZPitch(this->GetPandora()));
         const CartesianVector globalMinLayerPosition(slidingFitResult.GetGlobalMinLayerPosition());
         straightLineLength = (slidingFitResult.GetGlobalMaxLayerPosition() - globalMinLayerPosition).GetMagnitude();
 
         integratedPathLength = 0.f;
         CartesianVector previousFitPosition(globalMinLayerPosition);
 
         for (const auto &mapEntry : slidingFitResult.GetLayerFitResultMap())
         {
             rTMin = std::min(rTMin, static_cast<float>(mapEntry.second.GetFitT()));
             rTMax = std::max(rTMax, static_cast<float>(mapEntry.second.GetFitT()));
 
             CartesianVector thisFitPosition(0.f, 0.f, 0.f);
             slidingFitResult.GetGlobalPosition(mapEntry.second.GetL(), mapEntry.second.GetFitT(), thisFitPosition);
             integratedPathLength += (thisFitPosition - previousFitPosition).GetMagnitude();
             previousFitPosition = thisFitPosition;
         }
     }
     catch (const StatusCodeException &)
     {
     }
 
     if (straightLineLength < std::numeric_limits<float>::epsilon())
         return false;
 
     if (straightLineLength > m_maxShowerLengthCut)
         return true;
 
     if ((integratedPathLength < std::numeric_limits<float>::epsilon()) || (integratedPathLength / straightLineLength > m_pathLengthRatioCut))
         return false;
 
     if ((rTMax - rTMin) / straightLineLength > m_rTWidthRatioCut)
         return false;
 
     const float vertexDistance(CutClusterCharacterisationAlgorithm::GetVertexDistance(this, pCluster));
 
     if ((vertexDistance > std::numeric_limits<float>::epsilon()) && ((vertexDistance / straightLineLength) > m_vertexDistanceRatioCut))
         return false;
 
     const float showerFitWidth(CutClusterCharacterisationAlgorithm::GetShowerFitWidth(this, pCluster, m_slidingShowerFitWindow));
 
     if ((showerFitWidth < std::numeric_limits<float>::epsilon()) || ((showerFitWidth / straightLineLength) > m_showerWidthRatioCut))
         return false;
 
     return true;
 }

StatusCode lar_content::CutClusterCharacterisationAlgorithm::ReadSettings ( const pandora::TiXmlHandle xmlHandle )

private

Definition at line 149 of file CutClusterCharacterisationAlgorithm.cc.

References m_maxShowerLengthCut, m_minCaloHitsCut, m_pathLengthRatioCut, m_rTWidthRatioCut, m_showerWidthRatioCut, m_slidingFitWindow, m_slidingShowerFitWindow, m_vertexDistanceRatioCut, and lar_content::ClusterCharacterisationBaseAlgorithm::ReadSettings().

 {
     PANDORA_RETURN_RESULT_IF_AND_IF(STATUS_CODE_SUCCESS, STATUS_CODE_NOT_FOUND, !=, XmlHelper::ReadValue(xmlHandle,
         "SlidingFitWindow", m_slidingFitWindow));
 
     PANDORA_RETURN_RESULT_IF_AND_IF(STATUS_CODE_SUCCESS, STATUS_CODE_NOT_FOUND, !=, XmlHelper::ReadValue(xmlHandle,
         "SlidingShowerFitWindow", m_slidingShowerFitWindow));
 
     PANDORA_RETURN_RESULT_IF_AND_IF(STATUS_CODE_SUCCESS, STATUS_CODE_NOT_FOUND, !=, XmlHelper::ReadValue(xmlHandle,
         "MinCaloHitsCut", m_minCaloHitsCut));
 
     PANDORA_RETURN_RESULT_IF_AND_IF(STATUS_CODE_SUCCESS, STATUS_CODE_NOT_FOUND, !=, XmlHelper::ReadValue(xmlHandle,
         "MaxShowerLengthCut", m_maxShowerLengthCut));
 
     PANDORA_RETURN_RESULT_IF_AND_IF(STATUS_CODE_SUCCESS, STATUS_CODE_NOT_FOUND, !=, XmlHelper::ReadValue(xmlHandle,
         "PathLengthRatioCut", m_pathLengthRatioCut));
 
     PANDORA_RETURN_RESULT_IF_AND_IF(STATUS_CODE_SUCCESS, STATUS_CODE_NOT_FOUND, !=, XmlHelper::ReadValue(xmlHandle,
         "RTWidthRatioCut", m_rTWidthRatioCut));
 
     PANDORA_RETURN_RESULT_IF_AND_IF(STATUS_CODE_SUCCESS, STATUS_CODE_NOT_FOUND, !=, XmlHelper::ReadValue(xmlHandle,
         "VertexDistanceRatioCut", m_vertexDistanceRatioCut));
 
     PANDORA_RETURN_RESULT_IF_AND_IF(STATUS_CODE_SUCCESS, STATUS_CODE_NOT_FOUND, !=, XmlHelper::ReadValue(xmlHandle,
         "ShowerWidthRatioCut", m_showerWidthRatioCut));
 
     return ClusterCharacterisationBaseAlgorithm::ReadSettings(xmlHandle);
 }

StatusCode lar_content::ClusterCharacterisationBaseAlgorithm::Run ( )

protectedinherited

Definition at line 36 of file ClusterCharacterisationBaseAlgorithm.cc.

References lar_content::ClusterCharacterisationBaseAlgorithm::IsClearTrack(), lar_content::ClusterCharacterisationBaseAlgorithm::m_inputClusterListNames, lar_content::ClusterCharacterisationBaseAlgorithm::m_overwriteExistingId, lar_content::ClusterCharacterisationBaseAlgorithm::m_useUnavailableClusters, and lar_content::ClusterCharacterisationBaseAlgorithm::m_zeroMode.

 {
     for (const std::string &clusterListName : m_inputClusterListNames)
     {
         const ClusterList *pClusterList = NULL;
         PANDORA_RETURN_RESULT_IF_AND_IF(STATUS_CODE_SUCCESS, STATUS_CODE_NOT_INITIALIZED, !=, PandoraContentApi::GetList(*this, clusterListName, pClusterList));
 
         if (!pClusterList || pClusterList->empty())
         {
             if (PandoraContentApi::GetSettings(*this)->ShouldDisplayAlgorithmInfo())
                 std::cout << "ClusterCharacterisationBaseAlgorithm: unable to find cluster list " << clusterListName << std::endl;
 
             continue;
         }
 
         if (m_zeroMode)
         {
             for (const Cluster *const pCluster : *pClusterList)
             {
                 PandoraContentApi::Cluster::Metadata metadata;
                 metadata.m_particleId = UNKNOWN_PARTICLE_TYPE;
                 PANDORA_RETURN_RESULT_IF(STATUS_CODE_SUCCESS, !=, PandoraContentApi::Cluster::AlterMetadata(*this, pCluster, metadata));
             }
 
             return STATUS_CODE_SUCCESS;
         }
 
         for (const Cluster *const pCluster : *pClusterList)
         {
             if (!m_overwriteExistingId && (UNKNOWN_PARTICLE_TYPE != pCluster->GetParticleId()))
                 continue;
 
             if (!m_useUnavailableClusters && !PandoraContentApi::IsAvailable(*this, pCluster))
                 continue;
 
             PandoraContentApi::Cluster::Metadata metadata;
 
             if (this->IsClearTrack(pCluster))
             {
                 metadata.m_particleId = MU_MINUS;
             }
             else
             {
                 metadata.m_particleId = E_MINUS;
             }
 
             if (pCluster->GetParticleId() != metadata.m_particleId.Get())
                 PANDORA_RETURN_RESULT_IF(STATUS_CODE_SUCCESS, !=, PandoraContentApi::Cluster::AlterMetadata(*this, pCluster, metadata));
         }
     }
 
     return STATUS_CODE_SUCCESS;
 }

Member Data Documentation

pandora::StringVector lar_content::ClusterCharacterisationBaseAlgorithm::m_inputClusterListNames

protectedinherited

The names of the input cluster lists.

Definition at line 45 of file ClusterCharacterisationBaseAlgorithm.h.

Referenced by lar_content::ClusterCharacterisationBaseAlgorithm::ReadSettings(), and lar_content::ClusterCharacterisationBaseAlgorithm::Run().

float lar_content::CutClusterCharacterisationAlgorithm::m_maxShowerLengthCut

private

The maximum cluster length to qualify as a shower.

Definition at line 55 of file CutClusterCharacterisationAlgorithm.h.

Referenced by IsClearTrack(), and ReadSettings().

unsigned int lar_content::CutClusterCharacterisationAlgorithm::m_minCaloHitsCut

private

The minimum number of calo hits to qualify as a track.

Definition at line 54 of file CutClusterCharacterisationAlgorithm.h.

Referenced by IsClearTrack(), and ReadSettings().

bool lar_content::ClusterCharacterisationBaseAlgorithm::m_overwriteExistingId

protectedinherited

Whether to consider any clusters that already have an assigned particle id.

Definition at line 49 of file ClusterCharacterisationBaseAlgorithm.h.

Referenced by lar_content::ClusterCharacterisationBaseAlgorithm::ReadSettings(), and lar_content::ClusterCharacterisationBaseAlgorithm::Run().

float lar_content::CutClusterCharacterisationAlgorithm::m_pathLengthRatioCut

private

The maximum ratio of path length to straight line length to qualify as a track.

Definition at line 56 of file CutClusterCharacterisationAlgorithm.h.

Referenced by IsClearTrack(), and ReadSettings().

float lar_content::CutClusterCharacterisationAlgorithm::m_rTWidthRatioCut

private

The maximum ratio of transverse fit position width to straight line length to qualify as a track.

Definition at line 57 of file CutClusterCharacterisationAlgorithm.h.

Referenced by IsClearTrack(), and ReadSettings().

float lar_content::CutClusterCharacterisationAlgorithm::m_showerWidthRatioCut

private

The maximum ratio of shower fit width to straight line length to qualify as a track.

Definition at line 59 of file CutClusterCharacterisationAlgorithm.h.

Referenced by IsClearTrack(), and ReadSettings().

unsigned int lar_content::CutClusterCharacterisationAlgorithm::m_slidingFitWindow

private

The layer window for the sliding linear fits.

Definition at line 52 of file CutClusterCharacterisationAlgorithm.h.

Referenced by IsClearTrack(), and ReadSettings().

unsigned int lar_content::CutClusterCharacterisationAlgorithm::m_slidingShowerFitWindow

private

The layer window for the sliding shower fits.

Definition at line 53 of file CutClusterCharacterisationAlgorithm.h.

Referenced by IsClearTrack(), and ReadSettings().

bool lar_content::ClusterCharacterisationBaseAlgorithm::m_useUnavailableClusters

protectedinherited

Whether to consider clusters that are already constituents of a pfo.

Definition at line 50 of file ClusterCharacterisationBaseAlgorithm.h.

Referenced by lar_content::ClusterCharacterisationBaseAlgorithm::ReadSettings(), and lar_content::ClusterCharacterisationBaseAlgorithm::Run().

float lar_content::CutClusterCharacterisationAlgorithm::m_vertexDistanceRatioCut

private

The maximum ratio of vertex separation to straight line length to qualify as a track.

Definition at line 58 of file CutClusterCharacterisationAlgorithm.h.

Referenced by IsClearTrack(), and ReadSettings().

bool lar_content::ClusterCharacterisationBaseAlgorithm::m_zeroMode

protectedinherited

Whether to zero all existing cluster particle id, overrides all other parameters.

Definition at line 47 of file ClusterCharacterisationBaseAlgorithm.h.

Referenced by lar_content::ClusterCharacterisationBaseAlgorithm::ReadSettings(), and lar_content::ClusterCharacterisationBaseAlgorithm::Run().

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

larpandoracontent/v03_13_02/source/larpandoracontent/LArTrackShowerId/CutClusterCharacterisationAlgorithm.h
larpandoracontent/v03_13_02/source/larpandoracontent/LArTrackShowerId/CutClusterCharacterisationAlgorithm.cc

Public Member Functions

Static Public Member Functions

Protected Member Functions

Protected Attributes

Private Member Functions

Private Attributes

Detailed Description

Constructor & Destructor Documentation

Member Function Documentation

Member Data Documentation