lar_content::CosmicRayExtensionAlgorithm Class Reference

CosmicRayExtensionAlgorithm class. More...

#include "CosmicRayExtensionAlgorithm.h"

Inheritance diagram for lar_content::CosmicRayExtensionAlgorithm:

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

Protected Types
typedef std::unordered_map< const pandora::Cluster *, ClusterAssociation >	ClusterAssociationMap
typedef std::unordered_map< const pandora::Cluster *, ClusterAssociationMap >	ClusterAssociationMatrix
typedef std::unordered_map< const pandora::Cluster *, pandora::ClusterList >	ClusterMergeMap

Protected Member Functions
void	PopulateClusterMergeMap (const pandora::ClusterVector &clusterVector, ClusterMergeMap &clusterMergeMatrix) const
	Form associations between pointing clusters. More...
virtual pandora::StatusCode	Run ()
void	MergeClusters (pandora::ClusterVector &clusterVector, ClusterMergeMap &clusterMergeMap) const
	Merge associated clusters. More...
void	CollectAssociatedClusters (const pandora::Cluster *const pSeedCluster, const ClusterMergeMap &clusterMergeMap, pandora::ClusterList &associatedClusterList) const
	Collect up all clusters associations related to a given seed cluster. More...
void	CollectAssociatedClusters (const pandora::Cluster *const pSeedCluster, const pandora::Cluster *const pCurrentCluster, const ClusterMergeMap &clusterMergeMap, const pandora::ClusterSet &clusterVetoList, pandora::ClusterList &associatedClusterList) const
	Collect up all clusters associations related to a given seed cluster. More...
void	GetSortedListOfCleanClusters (const pandora::ClusterVector &inputClusters, pandora::ClusterVector &outputClusters) const
	Sort the selected clusters, so that they have a well-defined ordering. More...

Protected Attributes
std::string	m_inputClusterListName
	The name of the input cluster list. If not specified, will access current list. More...

Private Member Functions
void	GetListOfCleanClusters (const pandora::ClusterList *const pClusterList, pandora::ClusterVector &clusterVector) const
	Populate cluster vector with subset of cluster list, containing clusters judged to be clean. More...
void	FillClusterAssociationMatrix (const pandora::ClusterVector &clusterVector, ClusterAssociationMatrix &clusterAssociationMatrix) const
	Fill the cluster association matrix. More...
void	FillClusterMergeMap (const ClusterAssociationMatrix &clusterAssociationMatrix, ClusterMergeMap &clusterMergeMap) const
	Fill the cluster merge map. More...
void	FillClusterAssociationMatrix (const LArPointingCluster &clusterI, const LArPointingCluster &clusterJ, ClusterAssociationMatrix &clusterAssociationMatrix) const
	Form association between two pointing clusters. More...
float	CalculateRms (const pandora::Cluster *const pCluster, const pandora::CartesianVector &position, const pandora::CartesianVector &direction) const
	Calculate RMS deviation of a cluster with respect to the reference line. More...
pandora::StatusCode	ReadSettings (const pandora::TiXmlHandle xmlHandle)

Private Attributes
float	m_minClusterLength
float	m_minSeedClusterLength
float	m_maxLongitudinalDisplacement
float	m_maxTransverseDisplacement
float	m_minCosRelativeAngle
float	m_maxAverageRms

Detailed Description

CosmicRayExtensionAlgorithm class.

Definition at line 23 of file CosmicRayExtensionAlgorithm.h.

Member Typedef Documentation

typedef std::unordered_map<const pandora::Cluster*, ClusterAssociation> lar_content::ClusterExtensionAlgorithm::ClusterAssociationMap

protectedinherited

Definition at line 97 of file ClusterExtensionAlgorithm.h.

typedef std::unordered_map<const pandora::Cluster*, ClusterAssociationMap> lar_content::ClusterExtensionAlgorithm::ClusterAssociationMatrix

protectedinherited

Definition at line 98 of file ClusterExtensionAlgorithm.h.

typedef std::unordered_map<const pandora::Cluster*, pandora::ClusterList> lar_content::ClusterMergingAlgorithm::ClusterMergeMap

protectedinherited

Definition at line 27 of file ClusterMergingAlgorithm.h.

Constructor & Destructor Documentation

lar_content::CosmicRayExtensionAlgorithm::CosmicRayExtensionAlgorithm

(

)

Default constructor.

Definition at line 21 of file CosmicRayExtensionAlgorithm.cc.

                                                         :
    m_minClusterLength(3.f),
    m_minSeedClusterLength(6.f),
    m_maxLongitudinalDisplacement(30.f),
    m_maxTransverseDisplacement(2.f),
    m_minCosRelativeAngle(0.966f),
    m_maxAverageRms(1.f)
{
}

Member Function Documentation

float lar_content::CosmicRayExtensionAlgorithm::CalculateRms ( const pandora::Cluster *const  pCluster, const pandora::CartesianVector &  position, const pandora::CartesianVector &  direction  ) const

private

Calculate RMS deviation of a cluster with respect to the reference line.

Parameters

pCluster	the input cluster
position	the intercept of the reference line
direction	the direction of the reference line

Definition at line 343 of file CosmicRayExtensionAlgorithm.cc.

References f.

Referenced by FillClusterAssociationMatrix().

{
    float totalChi2(0.f);
    float totalHits(0.f);

    CaloHitList caloHitList;
    pCluster->GetOrderedCaloHitList().FillCaloHitList(caloHitList);

    for (CaloHitList::const_iterator iter = caloHitList.begin(), iterEnd = caloHitList.end(); iter != iterEnd; ++iter)
    {
        const CaloHit *const pCaloHit = *iter;

        const CartesianVector hitPosition(pCaloHit->GetPositionVector());
        const CartesianVector predictedPosition(position + direction * direction.GetDotProduct(hitPosition - position));

        totalChi2 += (predictedPosition - hitPosition).GetMagnitudeSquared();
        totalHits += 1.f;
    }

    if (totalHits > 0.f)
        return std::sqrt(totalChi2/totalHits);

    return 0.f;
}

void lar_content::ClusterMergingAlgorithm::CollectAssociatedClusters ( const pandora::Cluster *const  pSeedCluster, const ClusterMergeMap &  clusterMergeMap, pandora::ClusterList &  associatedClusterList  ) const

protectedinherited

Collect up all clusters associations related to a given seed cluster.

Parameters

pSeedCluster	pointer to the initial cluster
clusterMergeMap	the map of cluster associations
associatedClusterList	the output list of associated clusters

void lar_content::ClusterMergingAlgorithm::CollectAssociatedClusters ( const pandora::Cluster *const  pSeedCluster, const pandora::Cluster *const  pCurrentCluster, const ClusterMergeMap &  clusterMergeMap, const pandora::ClusterSet &  clusterVetoList, pandora::ClusterList &  associatedClusterList  ) const

protectedinherited

Collect up all clusters associations related to a given seed cluster.

Parameters

pSeedCluster	pointer to the initial cluster
pCurrentCluster	pointer to the current cluster
clusterMergeMap	the map of cluster associations
clusterVetoList	the list of clusters that have already been merged
associatedClusterList	the output list of associated clusters

void lar_content::CosmicRayExtensionAlgorithm::FillClusterAssociationMatrix ( const pandora::ClusterVector &  clusterVector, ClusterAssociationMatrix &  clusterAssociationMatrix  ) const

privatevirtual

Fill the cluster association matrix.

Parameters

clusterVector	the input vector of clusters
clusterAssociationMatrix	the matrix of associations

Implements lar_content::ClusterExtensionAlgorithm.

Referenced by GetListOfCleanClusters().

void lar_content::CosmicRayExtensionAlgorithm::FillClusterAssociationMatrix ( const LArPointingCluster &  clusterI, const LArPointingCluster &  clusterJ, ClusterAssociationMatrix &  clusterAssociationMatrix  ) const

private

Form association between two pointing clusters.

Parameters

clusterI	the first pointing cluster
clusterJ	the second pointing cluster
clusterAssociationMatrix	the matrix of cluster associations

Definition at line 85 of file CosmicRayExtensionAlgorithm.cc.

References CalculateRms(), f, lar_content::LArPointingClusterHelper::GetClosestVertices(), lar_content::LArPointingCluster::GetCluster(), lar_content::LArPointingCluster::GetInnerVertex(), lar_content::LArPointingClusterHelper::GetLengthSquared(), lar_content::LArPointingCluster::GetOuterVertex(), lar_content::LArPointingCluster::Vertex::GetPosition(), lar_content::ClusterExtensionAlgorithm::ClusterAssociation::INNER, lar_content::LArPointingCluster::Vertex::IsInitialized(), lar_content::LArPointingCluster::Vertex::IsInnerVertex(), m_maxAverageRms, m_maxLongitudinalDisplacement, m_maxTransverseDisplacement, m_minCosRelativeAngle, m_minSeedClusterLength, max, min, lar_content::ClusterExtensionAlgorithm::ClusterAssociation::OUTER, and lar_content::ClusterExtensionAlgorithm::ClusterAssociation::STRONG.

{
    const Cluster *const pClusterI(clusterI.GetCluster());
    const Cluster *const pClusterJ(clusterJ.GetCluster());

    if (pClusterI == pClusterJ)
        return;

    // Get closest pair of vertices
    LArPointingCluster::Vertex clusterVertexI, clusterVertexJ;

    try
    {
        LArPointingClusterHelper::GetClosestVertices(clusterI, clusterJ, clusterVertexI, clusterVertexJ);
    }
    catch (StatusCodeException &)
    {
        return;
    }

    // (Just in case...)
    if (!(clusterVertexI.IsInitialized() && clusterVertexJ.IsInitialized()))
        throw StatusCodeException(STATUS_CODE_FAILURE);

    const CartesianVector vertexI(clusterVertexI.GetPosition());
    const CartesianVector vertexJ(clusterVertexJ.GetPosition());

    const CartesianVector endI(clusterVertexI.IsInnerVertex() ? clusterI.GetOuterVertex().GetPosition() : clusterI.GetInnerVertex().GetPosition());
    const CartesianVector endJ(clusterVertexJ.IsInnerVertex() ? clusterJ.GetOuterVertex().GetPosition() : clusterJ.GetInnerVertex().GetPosition());

    // Requirements on length
    const float lengthSquaredI(LArPointingClusterHelper::GetLengthSquared(clusterI));
    const float lengthSquaredJ(LArPointingClusterHelper::GetLengthSquared(clusterJ));
    
    if (std::max(lengthSquaredI, lengthSquaredJ) < m_minSeedClusterLength * m_minSeedClusterLength)
        return;

    // Requirements on proximity
    const float distanceSquaredIJ((vertexI - vertexJ).GetMagnitudeSquared());

    if (distanceSquaredIJ > m_maxLongitudinalDisplacement * m_maxLongitudinalDisplacement)
        return;

    // Requirements on pointing information
    const CartesianVector directionI((endI - vertexI).GetUnitVector());
    const CartesianVector directionJ((endJ - vertexJ).GetUnitVector());

    const float cosTheta(-directionI.GetDotProduct(directionJ));
    const float cosThetaCut(-1.f + 2.f * m_minCosRelativeAngle);

    if (cosTheta < cosThetaCut)
        return;

    // Requirements on overlap between clusters
    const CartesianVector directionIJ((endJ - endI).GetUnitVector());
    const CartesianVector directionJI((endI - endJ).GetUnitVector());

    const float overlapL(directionIJ.GetDotProduct(vertexJ - vertexI));
    const float overlapT(directionIJ.GetCrossProduct(vertexJ - vertexI).GetMagnitude());

    if (overlapL < -1.f || overlapL * overlapL > 2.f * std::min(lengthSquaredI, lengthSquaredJ) ||
        overlapT > m_maxTransverseDisplacement + std::fabs(overlapL) * std::tan(5.f * M_PI / 180.f))
        return;

    // Calculate RMS deviations on composite cluster
    const float rms1(this->CalculateRms(pClusterI, endI, directionIJ));
    const float rms2(this->CalculateRms(pClusterJ, endJ, directionJI));

    const float rms(0.5f * (rms1 + rms2));
    const float rmsCut(2.f * m_maxAverageRms * (cosTheta - cosThetaCut) / (1.0 - cosThetaCut));

    if (rms > rmsCut)
        return;

    // Record the association
    const ClusterAssociation::VertexType vertexTypeI(clusterVertexI.IsInnerVertex() ? ClusterAssociation::INNER : ClusterAssociation::OUTER);
    const ClusterAssociation::VertexType vertexTypeJ(clusterVertexJ.IsInnerVertex() ? ClusterAssociation::INNER : ClusterAssociation::OUTER);
    const ClusterAssociation::AssociationType associationType(ClusterAssociation::STRONG);

    (void) clusterAssociationMatrix[pClusterI].insert(ClusterAssociationMap::value_type(pClusterJ,
        ClusterAssociation(vertexTypeI, vertexTypeJ, associationType, lengthSquaredJ)));

    (void) clusterAssociationMatrix[pClusterJ].insert(ClusterAssociationMap::value_type(pClusterI,
        ClusterAssociation(vertexTypeJ, vertexTypeI, associationType, lengthSquaredI)));
}

void lar_content::CosmicRayExtensionAlgorithm::FillClusterMergeMap ( const ClusterAssociationMatrix &  clusterAssociationMatrix, ClusterMergeMap &  clusterMergeMap  ) const

privatevirtual

Fill the cluster merge map.

Parameters

clusterAssociationMatrix	the matrix of cluster associations
clusterMergeMap	the map of cluster merges

Implements lar_content::ClusterExtensionAlgorithm.

Definition at line 174 of file CosmicRayExtensionAlgorithm.cc.

References f, lar_content::ClusterExtensionAlgorithm::ClusterAssociation::GetDaughter(), lar_content::ClusterExtensionAlgorithm::ClusterAssociation::GetFigureOfMerit(), lar_content::ClusterExtensionAlgorithm::ClusterAssociation::GetParent(), lar_content::ClusterExtensionAlgorithm::ClusterAssociation::INNER, lar_content::ClusterExtensionAlgorithm::ClusterAssociation::NONE, lar_content::ClusterExtensionAlgorithm::ClusterAssociation::OUTER, lar_content::LArClusterHelper::SortByNHits(), and lar_content::ClusterExtensionAlgorithm::ClusterAssociation::UNDEFINED.

{
    // Decide which associations will become merges
    // To make the merge A <-> B, both A -> B and B -> A must be strong associations
    // with the largest figures of merit of all the A -> X and B -> Y associations

    // First step: remove double-counting from the map of associations
    // i.e. if the map has A <-> B, B <-> C, A <-> C, then remove A <-> C
    ClusterAssociationMatrix clusterAssociationMatrix;

    ClusterVector sortedInputClusters;
    for (const auto &mapEntry : inputAssociationMatrix) sortedInputClusters.push_back(mapEntry.first);
    std::sort(sortedInputClusters.begin(), sortedInputClusters.end(), LArClusterHelper::SortByNHits);

    for (const Cluster *const pCluster1 : sortedInputClusters)
    {
        const ClusterAssociationMap &associationMap1(inputAssociationMatrix.at(pCluster1));

        for (const Cluster *const pCluster2 : sortedInputClusters)
        {
            if (pCluster1 == pCluster2)
                continue;

            const ClusterAssociationMap &associationMap2(inputAssociationMatrix.at(pCluster2));

            ClusterAssociationMap::const_iterator iter12 = associationMap1.find(pCluster2);
            if (associationMap1.end() == iter12)
                continue;

            ClusterAssociationMap::const_iterator iter21 = associationMap2.find(pCluster1);
            if (associationMap2.end() == iter21)
                continue;

            const ClusterAssociation &association12(iter12->second);
            const ClusterAssociation &association21(iter21->second);

            bool isAssociated(true);

            ClusterVector sortedAssociationClusters;
            for (const auto &mapEntry : associationMap1) sortedAssociationClusters.push_back(mapEntry.first);
            std::sort(sortedAssociationClusters.begin(), sortedAssociationClusters.end(), LArClusterHelper::SortByNHits);

            for (const Cluster *const pCluster3 : sortedAssociationClusters)
            {
                const ClusterAssociation &association13(associationMap1.at(pCluster3));

                ClusterAssociationMap::const_iterator iter23 = associationMap2.find(pCluster3);
                if (associationMap2.end() == iter23)
                    continue;

                const ClusterAssociation &association23(iter23->second);

                if (association12.GetParent() == association13.GetParent() &&
                    association23.GetParent() == association21.GetParent() &&
                    association13.GetDaughter() != association23.GetDaughter())
                {
                    isAssociated = false;
                    break;
                }
            }

            if (isAssociated)
            {
                (void) clusterAssociationMatrix[pCluster1].insert(ClusterAssociationMap::value_type(pCluster2, association12));
                (void) clusterAssociationMatrix[pCluster2].insert(ClusterAssociationMap::value_type(pCluster1, association21));
            }
        }
    }


    // Second step: find the best associations A -> X and B -> Y
    ClusterAssociationMatrix intermediateAssociationMatrix;

    ClusterVector sortedClusters;
    for (const auto &mapEntry : clusterAssociationMatrix) sortedClusters.push_back(mapEntry.first);
    std::sort(sortedClusters.begin(), sortedClusters.end(), LArClusterHelper::SortByNHits);

    for (const Cluster *const pParentCluster : sortedClusters)
    {
        const ClusterAssociationMap &clusterAssociationMap(clusterAssociationMatrix.at(pParentCluster));

        const Cluster *pBestClusterInner(nullptr);
        ClusterAssociation bestAssociationInner(ClusterAssociation::UNDEFINED, ClusterAssociation::UNDEFINED, ClusterAssociation::NONE, 0.f);

        const Cluster *pBestClusterOuter(nullptr);
        ClusterAssociation bestAssociationOuter(ClusterAssociation::UNDEFINED, ClusterAssociation::UNDEFINED, ClusterAssociation::NONE, 0.f);

        ClusterVector sortedAssociationClusters;
        for (const auto &mapEntry : clusterAssociationMap) sortedAssociationClusters.push_back(mapEntry.first);
        std::sort(sortedAssociationClusters.begin(), sortedAssociationClusters.end(), LArClusterHelper::SortByNHits);

        for (const Cluster *const pDaughterCluster : sortedAssociationClusters)
        {
            const ClusterAssociation &clusterAssociation(clusterAssociationMap.at(pDaughterCluster));

            // Inner associations
            if (clusterAssociation.GetParent() == ClusterAssociation::INNER)
            {
                if (clusterAssociation.GetFigureOfMerit() > bestAssociationInner.GetFigureOfMerit())
                {
                    bestAssociationInner = clusterAssociation;
                    pBestClusterInner = pDaughterCluster;
                }
            }

            // Outer associations
            if (clusterAssociation.GetParent() == ClusterAssociation::OUTER)
            {
                if (clusterAssociation.GetFigureOfMerit() > bestAssociationOuter.GetFigureOfMerit())
                {
                    bestAssociationOuter = clusterAssociation;
                    pBestClusterOuter = pDaughterCluster;
                }
            }
        }

        if (pBestClusterInner)
            (void) intermediateAssociationMatrix[pParentCluster].insert(ClusterAssociationMap::value_type(pBestClusterInner, bestAssociationInner));

        if (pBestClusterOuter)
            (void) intermediateAssociationMatrix[pParentCluster].insert(ClusterAssociationMap::value_type(pBestClusterOuter, bestAssociationOuter));
    }


    // Third step: make the merge if A -> X and B -> Y is in fact A -> B and B -> A
    ClusterVector intermediateSortedClusters;
    for (const auto &mapEntry : intermediateAssociationMatrix) intermediateSortedClusters.push_back(mapEntry.first);
    std::sort(intermediateSortedClusters.begin(), intermediateSortedClusters.end(), LArClusterHelper::SortByNHits);

    for (const Cluster *const pParentCluster : intermediateSortedClusters)
    {
        const ClusterAssociationMap &parentAssociationMap(intermediateAssociationMatrix.at(pParentCluster));

        ClusterVector sortedAssociationClusters;
        for (const auto &mapEntry : parentAssociationMap) sortedAssociationClusters.push_back(mapEntry.first);
        std::sort(sortedAssociationClusters.begin(), sortedAssociationClusters.end(), LArClusterHelper::SortByNHits);

        for (const Cluster *const pDaughterCluster : sortedAssociationClusters)
        {
            const ClusterAssociation &parentToDaughterAssociation(parentAssociationMap.at(pDaughterCluster));

            ClusterAssociationMatrix::const_iterator iter5 = intermediateAssociationMatrix.find(pDaughterCluster);

            if (intermediateAssociationMatrix.end() == iter5)
                continue;

            const ClusterAssociationMap &daughterAssociationMap(iter5->second);

            ClusterAssociationMap::const_iterator iter6 = daughterAssociationMap.find(pParentCluster);

            if (daughterAssociationMap.end() == iter6)
                continue;

            const ClusterAssociation &daughterToParentAssociation(iter6->second);

            if (parentToDaughterAssociation.GetParent() == daughterToParentAssociation.GetDaughter() &&
                parentToDaughterAssociation.GetDaughter() == daughterToParentAssociation.GetParent())
            {
                ClusterList &parentList(clusterMergeMap[pParentCluster]);

                if (parentList.end() == std::find(parentList.begin(), parentList.end(), pDaughterCluster))
                    parentList.push_back(pDaughterCluster);
            }
        }
    }
}

void lar_content::CosmicRayExtensionAlgorithm::GetListOfCleanClusters ( const pandora::ClusterList *const  pClusterList, pandora::ClusterVector &  clusterVector  ) const

privatevirtual

Populate cluster vector with subset of cluster list, containing clusters judged to be clean.

Parameters

pClusterList	address of the cluster list
clusterVector	to receive the populated cluster vector

Implements lar_content::ClusterMergingAlgorithm.

Definition at line 33 of file CosmicRayExtensionAlgorithm.cc.

References FillClusterAssociationMatrix(), lar_content::LArPointingCluster::GetCluster(), lar_content::LArClusterHelper::GetLengthSquared(), m_minClusterLength, and lar_content::LArClusterHelper::SortByNHits().

{
    for (ClusterList::const_iterator iter = pClusterList->begin(), iterEnd = pClusterList->end(); iter != iterEnd; ++iter)
    {
        const Cluster *const pCluster = *iter;

        if (LArClusterHelper::GetLengthSquared(pCluster) < m_minClusterLength * m_minClusterLength)
            continue;

        clusterVector.push_back(pCluster);
    }

    std::sort(clusterVector.begin(), clusterVector.end(), LArClusterHelper::SortByNHits);
}

void lar_content::ClusterMergingAlgorithm::GetSortedListOfCleanClusters ( const pandora::ClusterVector &  inputClusters, pandora::ClusterVector &  outputClusters  ) const

protectedinherited

Sort the selected clusters, so that they have a well-defined ordering.

Parameters

inputClusters	the input vector of clusters
outputClusters	the output vector of clusters

Definition at line 133 of file ClusterMergingAlgorithm.cc.

{
    ClusterVector pfoClusters, availableClusters;

    for (ClusterVector::const_iterator iter = inputClusters.begin(), iterEnd = inputClusters.end(); iter != iterEnd; ++iter)
    {
        const Cluster *const pCluster = *iter;

        if (!pCluster->IsAvailable())
        {
            pfoClusters.push_back(pCluster);
        }
        else
        {
            availableClusters.push_back(pCluster);
        }
    }

    std::sort(pfoClusters.begin(), pfoClusters.end(), LArClusterHelper::SortByNHits);
    std::sort(availableClusters.begin(), availableClusters.end(), LArClusterHelper::SortByNHits);

    outputClusters.insert(outputClusters.end(), pfoClusters.begin(), pfoClusters.end());
    outputClusters.insert(outputClusters.end(), availableClusters.begin(), availableClusters.end());
}

void lar_content::ClusterMergingAlgorithm::MergeClusters ( pandora::ClusterVector &  clusterVector, ClusterMergeMap &  clusterMergeMap  ) const

protectedinherited

Merge associated clusters.

Parameters

clusterVector	the vector of clean clusters
clusterMergeMap	the matrix of cluster associations

Definition at line 61 of file ClusterMergingAlgorithm.cc.

{
    ClusterSet clusterVetoList;

    for (const Cluster *const pSeedCluster : clusterVector)
    {
        ClusterList mergeList;
        this->CollectAssociatedClusters(pSeedCluster, pSeedCluster, clusterMergeMap, clusterVetoList, mergeList);
        mergeList.sort(LArClusterHelper::SortByNHits);

        for (const Cluster *const pAssociatedCluster : mergeList)
        {
            if (clusterVetoList.count(pAssociatedCluster))
                throw StatusCodeException(STATUS_CODE_FAILURE);

            if (!pAssociatedCluster->IsAvailable())
                throw StatusCodeException(STATUS_CODE_FAILURE);

            (void) clusterVetoList.insert(pAssociatedCluster);

            if (m_inputClusterListName.empty())
            {
                PANDORA_THROW_RESULT_IF(STATUS_CODE_SUCCESS, !=, PandoraContentApi::MergeAndDeleteClusters(*this, pSeedCluster, pAssociatedCluster));
            }
            else
            {
                PANDORA_THROW_RESULT_IF(STATUS_CODE_SUCCESS, !=, PandoraContentApi::MergeAndDeleteClusters(*this, pSeedCluster, pAssociatedCluster,
                    m_inputClusterListName, m_inputClusterListName));
            }
        }
    }
}

void lar_content::ClusterExtensionAlgorithm::PopulateClusterMergeMap ( const pandora::ClusterVector &  clusterVector, ClusterMergeMap &  clusterMergeMap  ) const

protectedvirtualinherited

Form associations between pointing clusters.

Parameters

clusterVector	the vector of clean clusters
clusterMergeMap	the matrix of cluster associations

Implements lar_content::ClusterMergingAlgorithm.

Definition at line 18 of file ClusterExtensionAlgorithm.cc.

{
    ClusterAssociationMatrix clusterAssociationMatrix;
    this->FillClusterAssociationMatrix(clusterVector, clusterAssociationMatrix);
    this->FillClusterMergeMap(clusterAssociationMatrix, clusterMergeMap);
}

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

privatevirtual

Reimplemented from lar_content::ClusterMergingAlgorithm.

Definition at line 370 of file CosmicRayExtensionAlgorithm.cc.

References m_maxAverageRms, m_maxLongitudinalDisplacement, m_maxTransverseDisplacement, m_minClusterLength, m_minCosRelativeAngle, m_minSeedClusterLength, and lar_content::ClusterMergingAlgorithm::ReadSettings().

{
    PANDORA_RETURN_RESULT_IF_AND_IF(STATUS_CODE_SUCCESS, STATUS_CODE_NOT_FOUND, !=, XmlHelper::ReadValue(xmlHandle,
        "MinClusterLength", m_minClusterLength));

    PANDORA_RETURN_RESULT_IF_AND_IF(STATUS_CODE_SUCCESS, STATUS_CODE_NOT_FOUND, !=, XmlHelper::ReadValue(xmlHandle,
        "MinSeedClusterLength", m_minSeedClusterLength));

    PANDORA_RETURN_RESULT_IF_AND_IF(STATUS_CODE_SUCCESS, STATUS_CODE_NOT_FOUND, !=, XmlHelper::ReadValue(xmlHandle,
        "MaxLongitudinalDisplacement", m_maxLongitudinalDisplacement));

    PANDORA_RETURN_RESULT_IF_AND_IF(STATUS_CODE_SUCCESS, STATUS_CODE_NOT_FOUND, !=, XmlHelper::ReadValue(xmlHandle,
        "MaxTransverseDisplacement", m_maxTransverseDisplacement));

    PANDORA_RETURN_RESULT_IF_AND_IF(STATUS_CODE_SUCCESS, STATUS_CODE_NOT_FOUND, !=, XmlHelper::ReadValue(xmlHandle,
        "MinCosRelativeAngle", m_minCosRelativeAngle));

    PANDORA_RETURN_RESULT_IF_AND_IF(STATUS_CODE_SUCCESS, STATUS_CODE_NOT_FOUND, !=, XmlHelper::ReadValue(xmlHandle,
        "MaxAverageRms", m_maxAverageRms));

    return ClusterExtensionAlgorithm::ReadSettings(xmlHandle);
}

StatusCode lar_content::ClusterMergingAlgorithm::Run ( )

protectedvirtualinherited

Definition at line 20 of file ClusterMergingAlgorithm.cc.

{
    const ClusterList *pClusterList = NULL;

    if (m_inputClusterListName.empty())
    {
        PANDORA_RETURN_RESULT_IF(STATUS_CODE_SUCCESS, !=, PandoraContentApi::GetCurrentList(*this, pClusterList));
    }
    else
    {
        PANDORA_RETURN_RESULT_IF_AND_IF(STATUS_CODE_SUCCESS, STATUS_CODE_NOT_INITIALIZED, !=, PandoraContentApi::GetList(*this, m_inputClusterListName, pClusterList));
    }

    if (!pClusterList || pClusterList->empty())
    {
        if (PandoraContentApi::GetSettings(*this)->ShouldDisplayAlgorithmInfo())
            std::cout << "ClusterMergingAlgorithm: unable to find cluster list " << m_inputClusterListName << std::endl;

        return STATUS_CODE_SUCCESS;
    }

    while (true)
    {
        ClusterVector unsortedVector, clusterVector;
        this->GetListOfCleanClusters(pClusterList, unsortedVector);
        this->GetSortedListOfCleanClusters(unsortedVector, clusterVector);

        ClusterMergeMap clusterMergeMap;
        this->PopulateClusterMergeMap(clusterVector, clusterMergeMap);

        if (clusterMergeMap.empty())
            break;

        this->MergeClusters(clusterVector, clusterMergeMap);
    }

    return STATUS_CODE_SUCCESS;
}

Member Data Documentation

std::string lar_content::ClusterMergingAlgorithm::m_inputClusterListName

protectedinherited

The name of the input cluster list. If not specified, will access current list.

Definition at line 82 of file ClusterMergingAlgorithm.h.

float lar_content::CosmicRayExtensionAlgorithm::m_maxAverageRms

private

Definition at line 63 of file CosmicRayExtensionAlgorithm.h.

Referenced by FillClusterAssociationMatrix(), and ReadSettings().

float lar_content::CosmicRayExtensionAlgorithm::m_maxLongitudinalDisplacement

private

Definition at line 60 of file CosmicRayExtensionAlgorithm.h.

Referenced by FillClusterAssociationMatrix(), and ReadSettings().

float lar_content::CosmicRayExtensionAlgorithm::m_maxTransverseDisplacement

private

Definition at line 61 of file CosmicRayExtensionAlgorithm.h.

Referenced by FillClusterAssociationMatrix(), and ReadSettings().

float lar_content::CosmicRayExtensionAlgorithm::m_minClusterLength

private

Definition at line 58 of file CosmicRayExtensionAlgorithm.h.

Referenced by GetListOfCleanClusters(), and ReadSettings().

float lar_content::CosmicRayExtensionAlgorithm::m_minCosRelativeAngle

private

Definition at line 62 of file CosmicRayExtensionAlgorithm.h.

Referenced by FillClusterAssociationMatrix(), and ReadSettings().

float lar_content::CosmicRayExtensionAlgorithm::m_minSeedClusterLength

private

Definition at line 59 of file CosmicRayExtensionAlgorithm.h.

Referenced by FillClusterAssociationMatrix(), and ReadSettings().

---

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

• larpandoracontent/v03_13_02/source/larpandoracontent/LArTwoDReco/LArCosmicRay/CosmicRayExtensionAlgorithm.h
• larpandoracontent/v03_13_02/source/larpandoracontent/LArTwoDReco/LArCosmicRay/CosmicRayExtensionAlgorithm.cc