ThreeViewTransverseTracksAlgorithm class. More...

#include <ThreeViewTransverseTracksAlgorithm.h>

Inheritance diagram for lar_content::ThreeViewTransverseTracksAlgorithm:

Public Types
typedef NViewTrackMatchingAlgorithm< ThreeViewMatchingControl< TransverseOverlapResult > >	BaseAlgorithm

Public Types inherited from lar_content::NViewMatchingAlgorithm< ThreeViewMatchingControl< TransverseOverlapResult > >
typedef ThreeViewMatchingControl< TransverseOverlapResult >	MatchingType

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

Public Member Functions inherited from lar_content::NViewTrackMatchingAlgorithm< ThreeViewMatchingControl< TransverseOverlapResult > >
	NViewTrackMatchingAlgorithm ()
	Default constructor. More...

virtual	~NViewTrackMatchingAlgorithm ()
	Destructor. More...

const TwoDSlidingFitResult &	GetCachedSlidingFitResult (const pandora::Cluster *const pCluster) const
	Get a sliding fit result from the algorithm cache. More...

unsigned int	GetSlidingFitWindow () const
	Get the layer window for the sliding linear fits. More...

virtual bool	MakeClusterSplits (const SplitPositionMap &splitPositionMap)
	Make cluster splits. More...

virtual bool	MakeClusterSplit (const pandora::CartesianVector &splitPosition, const pandora::Cluster &pCurrentCluster, const pandora::Cluster &pLowXCluster, const pandora::Cluster *&pHighXCluster) const
	Make a cluster split. More...

virtual void	UpdateForNewCluster (const pandora::Cluster *const pNewCluster)
	Update to reflect addition of a new cluster to the problem space. More...

virtual void	UpdateUponDeletion (const pandora::Cluster *const pDeletedCluster)
	Update to reflect cluster deletion. More...

virtual void	SelectInputClusters (const pandora::ClusterList *const pInputClusterList, pandora::ClusterList &selectedClusterList) const
	Select a subset of input clusters for processing in this algorithm. More...

virtual void	PrepareInputClusters (pandora::ClusterList &preparedClusterList)
	Perform any preparatory steps required on the input clusters, e.g. caching expensive fit results. More...

virtual void	SetPfoParticleId (PandoraContentApi::ParticleFlowObject::Parameters &pfoParameters) const
	Set pfo particle id. More...

Public Member Functions inherited from lar_content::NViewMatchingAlgorithm< ThreeViewMatchingControl< TransverseOverlapResult > >
	NViewMatchingAlgorithm ()
	Default constructor. More...

virtual	~NViewMatchingAlgorithm ()
	Destructor. More...

const std::string &	GetClusterListName (const pandora::HitType hitType) const
	Get the cluster list name corresponding to a specified hit type. More...

const pandora::ClusterList &	GetInputClusterList (const pandora::HitType hitType) const
	Get the input cluster list corresponding to a specified hit type. More...

const pandora::ClusterList &	GetSelectedClusterList (const pandora::HitType hitType) const
	Get the selected cluster list corresponding to a specified hit type. More...

Public Member Functions inherited from lar_content::MatchingBaseAlgorithm
	MatchingBaseAlgorithm ()
	Default constructor. More...

virtual	~MatchingBaseAlgorithm ()
	Destructor. More...

virtual bool	MakeClusterMerges (const ClusterMergeMap &clusterMergeMap)
	Merge clusters together. More...

virtual bool	CreateThreeDParticles (const ProtoParticleVector &protoParticleVector)
	Create particles using findings from recent algorithm processing. More...

virtual void	SetPfoParameters (const ProtoParticle &protoParticle, PandoraContentApi::ParticleFlowObject::Parameters &pfoParameters) const
	Set Pfo properties. More...

Private Types
typedef std::map< unsigned int, TransverseOverlapResult >	FitSegmentToOverlapResultMap

typedef std::map< unsigned int, FitSegmentToOverlapResultMap >	FitSegmentMatrix

typedef std::map< unsigned int, FitSegmentMatrix >	FitSegmentTensor

typedef std::vector< TransverseTensorTool * >	TensorToolVector

Private Member Functions
void	CalculateOverlapResult (const pandora::Cluster const pClusterU, const pandora::Cluster const pClusterV, const pandora::Cluster *const pClusterW)
	Calculate cluster overlap result and store in container. More...

pandora::StatusCode	CalculateOverlapResult (const pandora::Cluster const pClusterU, const pandora::Cluster const pClusterV, const pandora::Cluster *const pClusterW, TransverseOverlapResult &overlapResult)
	Calculate the overlap result for given group of clusters. More...

void	GetFitSegmentTensor (const TwoDSlidingFitResult &slidingFitResultU, const TwoDSlidingFitResult &slidingFitResultV, const TwoDSlidingFitResult &slidingFitResultW, FitSegmentTensor &fitSegmentTensor) const
	Get the number of matched points for three fit segments and accompanying sliding fit results. More...

pandora::StatusCode	GetSegmentOverlap (const FitSegment &fitSegmentU, const FitSegment &fitSegmentV, const FitSegment &fitSegmentW, const TwoDSlidingFitResult &slidingFitResultU, const TwoDSlidingFitResult &slidingFitResultV, const TwoDSlidingFitResult &slidingFitResultW, TransverseOverlapResult &transverseOverlapResult) const
	Get the overlap result for three fit segments and the accompanying sliding fit results. More...

void	GetBestOverlapResult (const FitSegmentTensor &fitSegmentTensor, TransverseOverlapResult &bestTransverseOverlapResult) const
	Get the best overlap result, by examining the fit segment tensor. More...

void	GetPreviousOverlapResults (const unsigned int indexU, const unsigned int indexV, const unsigned int indexW, FitSegmentTensor &fitSegmentSumTensor, TransverseOverlapResultVector &transverseOverlapResultVector) const
	Get track overlap results for possible connected segments. More...

void	ExamineOverlapContainer ()
	Examine contents of overlap container, collect together best-matching 2D particles and modify clusters as required. More...

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

Private Attributes
TensorToolVector	m_algorithmToolVector
	The algorithm tool vector. More...

unsigned int	m_nMaxTensorToolRepeats
	The maximum number of repeat loops over tensor tools. More...

unsigned int	m_maxFitSegmentIndex
	The maximum number of fit segments used when identifying best overlap result. More...

float	m_pseudoChi2Cut
	The pseudo chi2 cut to identify matched sampling points. More...

float	m_minSegmentMatchedFraction
	The minimum segment matched sampling fraction to allow segment grouping. More...

unsigned int	m_minSegmentMatchedPoints
	The minimum number of matched segment sampling points to allow segment grouping. More...

float	m_minOverallMatchedFraction
	The minimum matched sampling fraction to allow particle creation. More...

unsigned int	m_minOverallMatchedPoints
	The minimum number of matched segment sampling points to allow particle creation. More...

float	m_minSamplingPointsPerLayer
	The minimum number of sampling points per layer to allow particle creation. More...

Additional Inherited Members
Static Public Member Functions inherited from lar_content::NViewTrackMatchingAlgorithm< ThreeViewMatchingControl< TransverseOverlapResult > >
static bool	SortSplitPositions (const pandora::CartesianVector &lhs, const pandora::CartesianVector &rhs)
	Sort split position cartesian vectors by increasing x coordinate. More...

Protected Member Functions inherited from lar_content::NViewTrackMatchingAlgorithm< ThreeViewMatchingControl< TransverseOverlapResult > >
void	AddToSlidingFitCache (const pandora::Cluster *const pCluster)
	Add a new sliding fit result, for the specified cluster, to the algorithm cache. More...

void	RemoveFromSlidingFitCache (const pandora::Cluster *const pCluster)
	Remova an existing sliding fit result, for the specified cluster, from the algorithm cache. More...

virtual void	TidyUp ()
	Tidy member variables in derived class. More...

Protected Member Functions inherited from lar_content::NViewMatchingAlgorithm< ThreeViewMatchingControl< TransverseOverlapResult > >
MatchingType &	GetMatchingControl ()
	Get the matching control. More...

virtual void	SelectAllInputClusters ()
	Select a subset of input clusters for processing in this algorithm. More...

virtual void	PrepareAllInputClusters ()
	Perform any preparatory steps required, e.g. caching expensive fit results for clusters. More...

virtual void	PerformMainLoop ()
	Main loop over cluster combinations in order to populate the overlap container. Responsible for calling CalculateOverlapResult. More...

Protected Attributes inherited from lar_content::NViewMatchingAlgorithm< ThreeViewMatchingControl< TransverseOverlapResult > >
MatchingType	m_matchingControl
	The matching control. More...

Detailed Description

ThreeViewTransverseTracksAlgorithm class.

Definition at line 29 of file ThreeViewTransverseTracksAlgorithm.h.

Member Typedef Documentation

typedef NViewTrackMatchingAlgorithm<ThreeViewMatchingControl<TransverseOverlapResult> > lar_content::ThreeViewTransverseTracksAlgorithm::BaseAlgorithm

Definition at line 32 of file ThreeViewTransverseTracksAlgorithm.h.

typedef std::map<unsigned int, FitSegmentToOverlapResultMap> lar_content::ThreeViewTransverseTracksAlgorithm::FitSegmentMatrix

private

Definition at line 41 of file ThreeViewTransverseTracksAlgorithm.h.

typedef std::map<unsigned int, FitSegmentMatrix> lar_content::ThreeViewTransverseTracksAlgorithm::FitSegmentTensor

private

Definition at line 42 of file ThreeViewTransverseTracksAlgorithm.h.

typedef std::map<unsigned int, TransverseOverlapResult> lar_content::ThreeViewTransverseTracksAlgorithm::FitSegmentToOverlapResultMap

private

Definition at line 40 of file ThreeViewTransverseTracksAlgorithm.h.

typedef std::vector<TransverseTensorTool *> lar_content::ThreeViewTransverseTracksAlgorithm::TensorToolVector

private

Definition at line 109 of file ThreeViewTransverseTracksAlgorithm.h.

Constructor & Destructor Documentation

lar_content::ThreeViewTransverseTracksAlgorithm::ThreeViewTransverseTracksAlgorithm ( )

Default constructor.

Definition at line 21 of file ThreeViewTransverseTracksAlgorithm.cc.

                                                                        :
     m_nMaxTensorToolRepeats(1000),
     m_maxFitSegmentIndex(50),
     m_pseudoChi2Cut(3.f),
     m_minSegmentMatchedFraction(0.1f),
     m_minSegmentMatchedPoints(3),
     m_minOverallMatchedFraction(0.5f),
     m_minOverallMatchedPoints(10),
     m_minSamplingPointsPerLayer(0.1f)
 {
 }

Member Function Documentation

void lar_content::ThreeViewTransverseTracksAlgorithm::CalculateOverlapResult	(	const pandora::Cluster *const	pCluster1,
		const pandora::Cluster *const	pCluster2,
		const pandora::Cluster *const	pCluster3
	)

privatevirtual

Calculate cluster overlap result and store in container.

Parameters

pCluster1	address of cluster1
pCluster2	address of cluster2
pCluster3	address of cluster3

Implements lar_content::MatchingBaseAlgorithm.

pandora::StatusCode lar_content::ThreeViewTransverseTracksAlgorithm::CalculateOverlapResult	(	const pandora::Cluster *const	pClusterU,
		const pandora::Cluster *const	pClusterV,
		const pandora::Cluster *const	pClusterW,
		TransverseOverlapResult &	overlapResult
	)

private

Calculate the overlap result for given group of clusters.

Parameters

pClusterU	the cluster from the U view
pClusterV	the cluster from the V view
pClusterW	the cluster from the W view
overlapResult	to receive the overlap result

Returns: statusCode, faster than throwing in regular use-cases

void lar_content::ThreeViewTransverseTracksAlgorithm::ExamineOverlapContainer ( )

privatevirtual

Examine contents of overlap container, collect together best-matching 2D particles and modify clusters as required.

Implements lar_content::MatchingBaseAlgorithm.

Definition at line 297 of file ThreeViewTransverseTracksAlgorithm.cc.

 {
     unsigned int repeatCounter(0);
 
     for (TensorToolVector::const_iterator iter = m_algorithmToolVector.begin(), iterEnd = m_algorithmToolVector.end(); iter != iterEnd;)
     {
         if ((*iter)->Run(this, this->GetMatchingControl().GetOverlapTensor()))
         {
             iter = m_algorithmToolVector.begin();
 
             if (++repeatCounter > m_nMaxTensorToolRepeats)
                 break;
         }
         else
         {
             ++iter;
         }
     }
 }

void lar_content::ThreeViewTransverseTracksAlgorithm::GetBestOverlapResult	(	const FitSegmentTensor &	fitSegmentTensor,
		TransverseOverlapResult &	bestTransverseOverlapResult
	)		const

private

Get the best overlap result, by examining the fit segment tensor.

Parameters

fitSegmentTensor	the fit segment tensor
bestTransverseOverlapResult	to receive the best transverse overlap result

Definition at line 193 of file ThreeViewTransverseTracksAlgorithm.cc.

 {
     if (fitSegmentTensor.empty())
     {
         bestTransverseOverlapResult = TransverseOverlapResult();
         return;
     }
 
     unsigned int maxIndexU(0), maxIndexV(0), maxIndexW(0);
     for (FitSegmentTensor::const_iterator tIter = fitSegmentTensor.begin(), tIterEnd = fitSegmentTensor.end(); tIter != tIterEnd; ++tIter)
     {
         maxIndexU = std::max(tIter->first, maxIndexU);
 
         for (FitSegmentMatrix::const_iterator mIter = tIter->second.begin(), mIterEnd = tIter->second.end(); mIter != mIterEnd; ++mIter)
         {
             maxIndexV = std::max(mIter->first, maxIndexV);
 
             for (FitSegmentToOverlapResultMap::const_iterator rIter = mIter->second.begin(), rIterEnd = mIter->second.end(); rIter != rIterEnd; ++rIter)
                 maxIndexW = std::max(rIter->first, maxIndexW);
         }
     }
 
     // ATTN Protect against longitudinal tracks winding back and forth; can cause large number of memory allocations
     maxIndexU = std::min(m_maxFitSegmentIndex, maxIndexU);
     maxIndexV = std::min(m_maxFitSegmentIndex, maxIndexV);
     maxIndexW = std::min(m_maxFitSegmentIndex, maxIndexW);
 
     FitSegmentTensor fitSegmentSumTensor;
     for (unsigned int indexU = 0; indexU <= maxIndexU; ++indexU)
     {
         for (unsigned int indexV = 0; indexV <= maxIndexV; ++indexV)
         {
             for (unsigned int indexW = 0; indexW <= maxIndexW; ++indexW)
             {
                 TransverseOverlapResultVector transverseOverlapResultVector;
                 this->GetPreviousOverlapResults(indexU, indexV, indexW, fitSegmentSumTensor, transverseOverlapResultVector);
 
                 TransverseOverlapResultVector::const_iterator maxElement =
                     std::max_element(transverseOverlapResultVector.begin(), transverseOverlapResultVector.end());
                 TransverseOverlapResult maxTransverseOverlapResult(
                     (transverseOverlapResultVector.end() != maxElement) ? *maxElement : TransverseOverlapResult());
 
                 TransverseOverlapResult thisOverlapResult;
                 if (fitSegmentTensor.count(indexU) && (fitSegmentTensor.find(indexU))->second.count(indexV) &&
                     ((fitSegmentTensor.find(indexU))->second.find(indexV))->second.count(indexW))
                     thisOverlapResult = (((fitSegmentTensor.find(indexU))->second.find(indexV))->second.find(indexW))->second;
 
                 if (!thisOverlapResult.IsInitialized() && !maxTransverseOverlapResult.IsInitialized())
                     continue;
 
                 fitSegmentSumTensor[indexU][indexV][indexW] = thisOverlapResult + maxTransverseOverlapResult;
             }
         }
     }
 
     for (unsigned int indexU = 0; indexU <= maxIndexU; ++indexU)
     {
         for (unsigned int indexV = 0; indexV <= maxIndexV; ++indexV)
         {
             for (unsigned int indexW = 0; indexW <= maxIndexW; ++indexW)
             {
                 const TransverseOverlapResult &transverseOverlapResult(fitSegmentSumTensor[indexU][indexV][indexW]);
 
                 if (!transverseOverlapResult.IsInitialized())
                     continue;
 
                 if (transverseOverlapResult > bestTransverseOverlapResult)
                     bestTransverseOverlapResult = transverseOverlapResult;
             }
         }
     }
 }

void lar_content::ThreeViewTransverseTracksAlgorithm::GetFitSegmentTensor	(	const TwoDSlidingFitResult &	slidingFitResultU,
		const TwoDSlidingFitResult &	slidingFitResultV,
		const TwoDSlidingFitResult &	slidingFitResultW,
		FitSegmentTensor &	fitSegmentTensor
	)		const

private

Get the number of matched points for three fit segments and accompanying sliding fit results.

Parameters

slidingFitResultU	sliding fit result for u cluster
slidingFitResultV	sliding fit result for v cluster
slidingFitResultW	sliding fit result for w cluster
fitSegmentTensor	the fit segment tensor

Definition at line 87 of file ThreeViewTransverseTracksAlgorithm.cc.

 {
     FitSegmentList fitSegmentListU(slidingFitResultU.GetFitSegmentList());
     FitSegmentList fitSegmentListV(slidingFitResultV.GetFitSegmentList());
     FitSegmentList fitSegmentListW(slidingFitResultW.GetFitSegmentList());
 
     for (unsigned int indexU = 0, indexUEnd = fitSegmentListU.size(); indexU < indexUEnd; ++indexU)
     {
         const FitSegment &fitSegmentU(fitSegmentListU.at(indexU));
 
         for (unsigned int indexV = 0, indexVEnd = fitSegmentListV.size(); indexV < indexVEnd; ++indexV)
         {
             const FitSegment &fitSegmentV(fitSegmentListV.at(indexV));
 
             for (unsigned int indexW = 0, indexWEnd = fitSegmentListW.size(); indexW < indexWEnd; ++indexW)
             {
                 const FitSegment &fitSegmentW(fitSegmentListW.at(indexW));
 
                 TransverseOverlapResult segmentOverlap;
                 if (STATUS_CODE_SUCCESS != this->GetSegmentOverlap(fitSegmentU, fitSegmentV, fitSegmentW, slidingFitResultU,
                                                slidingFitResultV, slidingFitResultW, segmentOverlap))
                     continue;
 
                 if ((segmentOverlap.GetMatchedFraction() < m_minSegmentMatchedFraction) ||
                     (segmentOverlap.GetNMatchedSamplingPoints() < m_minSegmentMatchedPoints))
                     continue;
 
                 fitSegmentTensor[indexU][indexV][indexW] = segmentOverlap;
             }
         }
     }
 }

void lar_content::ThreeViewTransverseTracksAlgorithm::GetPreviousOverlapResults	(	const unsigned int	indexU,
		const unsigned int	indexV,
		const unsigned int	indexW,
		FitSegmentTensor &	fitSegmentSumTensor,
		TransverseOverlapResultVector &	transverseOverlapResultVector
	)		const

private

Get track overlap results for possible connected segments.

Parameters

indexU	the index u
indexV	the index v
indexW	the index w
transverseOverlapResultVector	the transverse overlap result vector

Definition at line 269 of file ThreeViewTransverseTracksAlgorithm.cc.

 {
     for (unsigned int iPermutation = 1; iPermutation < 8; ++iPermutation)
     {
         const bool decrementU((iPermutation >> 0) & 0x1);
         const bool decrementV((iPermutation >> 1) & 0x1);
         const bool decrementW((iPermutation >> 2) & 0x1);
 
         if ((decrementU && (0 == indexU)) || (decrementV && (0 == indexV)) || (decrementW && (0 == indexW)))
             continue;
 
         const unsigned int newIndexU(decrementU ? indexU - 1 : indexU);
         const unsigned int newIndexV(decrementV ? indexV - 1 : indexV);
         const unsigned int newIndexW(decrementW ? indexW - 1 : indexW);
 
         const TransverseOverlapResult &transverseOverlapResult(fitSegmentSumTensor[newIndexU][newIndexV][newIndexW]);
 
         if (transverseOverlapResult.IsInitialized())
             transverseOverlapResultVector.push_back(transverseOverlapResult);
     }
 
     if (transverseOverlapResultVector.empty())
         transverseOverlapResultVector.push_back(TransverseOverlapResult());
 }

StatusCode lar_content::ThreeViewTransverseTracksAlgorithm::GetSegmentOverlap	(	const FitSegment &	fitSegmentU,
		const FitSegment &	fitSegmentV,
		const FitSegment &	fitSegmentW,
		const TwoDSlidingFitResult &	slidingFitResultU,
		const TwoDSlidingFitResult &	slidingFitResultV,
		const TwoDSlidingFitResult &	slidingFitResultW,
		TransverseOverlapResult &	transverseOverlapResult
	)		const

private

Get the overlap result for three fit segments and the accompanying sliding fit results.

Parameters

fitSegmentU	the fit segment u
fitSegmentV	the fit segment v
fitSegmentW	the fit segment w
slidingFitResultU	sliding fit result for u cluster
slidingFitResultV	sliding fit result for v cluster
slidingFitResultW	sliding fit result for w cluster
transverseOverlapResult	to receive the transverse overlap result

Returns: statusCode, faster than throwing in regular use-cases

Definition at line 123 of file ThreeViewTransverseTracksAlgorithm.cc.

 {
     // Assess x-overlap
     const float xSpanU(fitSegmentU.GetMaxX() - fitSegmentU.GetMinX());
     const float xSpanV(fitSegmentV.GetMaxX() - fitSegmentV.GetMinX());
     const float xSpanW(fitSegmentW.GetMaxX() - fitSegmentW.GetMinX());
 
     const float minX(std::max(fitSegmentU.GetMinX(), std::max(fitSegmentV.GetMinX(), fitSegmentW.GetMinX())));
     const float maxX(std::min(fitSegmentU.GetMaxX(), std::min(fitSegmentV.GetMaxX(), fitSegmentW.GetMaxX())));
     const float xOverlap(maxX - minX);
 
     if (xOverlap < std::numeric_limits<float>::epsilon())
         return STATUS_CODE_NOT_FOUND;
 
     // Sampling in x
     const float nPointsU(std::fabs((xOverlap / xSpanU) * static_cast<float>(fitSegmentU.GetEndLayer() - fitSegmentU.GetStartLayer())));
     const float nPointsV(std::fabs((xOverlap / xSpanV) * static_cast<float>(fitSegmentV.GetEndLayer() - fitSegmentV.GetStartLayer())));
     const float nPointsW(std::fabs((xOverlap / xSpanW) * static_cast<float>(fitSegmentW.GetEndLayer() - fitSegmentW.GetStartLayer())));
 
     const unsigned int nPoints(1 + static_cast<unsigned int>((nPointsU + nPointsV + nPointsW) / 3.f));
 
     // Chi2 calculations
     float pseudoChi2Sum(0.f);
     unsigned int nSamplingPoints(0), nMatchedSamplingPoints(0);
 
     for (unsigned int n = 0; n <= nPoints; ++n)
     {
         const float x(minX + (maxX - minX) * static_cast<float>(n) / static_cast<float>(nPoints));
 
         CartesianVector fitUVector(0.f, 0.f, 0.f), fitVVector(0.f, 0.f, 0.f), fitWVector(0.f, 0.f, 0.f);
         CartesianVector fitUDirection(0.f, 0.f, 0.f), fitVDirection(0.f, 0.f, 0.f), fitWDirection(0.f, 0.f, 0.f);
 
         if ((STATUS_CODE_SUCCESS != slidingFitResultU.GetTransverseProjection(x, fitSegmentU, fitUVector, fitUDirection)) ||
             (STATUS_CODE_SUCCESS != slidingFitResultV.GetTransverseProjection(x, fitSegmentV, fitVVector, fitVDirection)) ||
             (STATUS_CODE_SUCCESS != slidingFitResultW.GetTransverseProjection(x, fitSegmentW, fitWVector, fitWDirection)))
         {
             continue;
         }
 
         const float u(fitUVector.GetZ()), v(fitVVector.GetZ()), w(fitWVector.GetZ());
         const float uv2w(LArGeometryHelper::MergeTwoPositions(this->GetPandora(), TPC_VIEW_U, TPC_VIEW_V, u, v));
         const float uw2v(LArGeometryHelper::MergeTwoPositions(this->GetPandora(), TPC_VIEW_U, TPC_VIEW_W, u, w));
         const float vw2u(LArGeometryHelper::MergeTwoPositions(this->GetPandora(), TPC_VIEW_V, TPC_VIEW_W, v, w));
 
         ++nSamplingPoints;
         const float deltaU((vw2u - u) * fitUDirection.GetX());
         const float deltaV((uw2v - v) * fitVDirection.GetX());
         const float deltaW((uv2w - w) * fitWDirection.GetX());
 
         const float pseudoChi2(deltaW * deltaW + deltaV * deltaV + deltaU * deltaU);
         pseudoChi2Sum += pseudoChi2;
 
         if (pseudoChi2 < m_pseudoChi2Cut)
             ++nMatchedSamplingPoints;
     }
 
     if (0 == nSamplingPoints)
         return STATUS_CODE_NOT_FOUND;
 
     const XOverlap xOverlapObject(fitSegmentU.GetMinX(), fitSegmentU.GetMaxX(), fitSegmentV.GetMinX(), fitSegmentV.GetMaxX(),
         fitSegmentW.GetMinX(), fitSegmentW.GetMaxX(), xOverlap);
 
     transverseOverlapResult = TransverseOverlapResult(nMatchedSamplingPoints, nSamplingPoints, pseudoChi2Sum, xOverlapObject);
     return STATUS_CODE_SUCCESS;
 }

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

privatevirtual

Reimplemented from lar_content::NViewTrackMatchingAlgorithm< ThreeViewMatchingControl< TransverseOverlapResult > >.

Definition at line 320 of file ThreeViewTransverseTracksAlgorithm.cc.

 {
     AlgorithmToolVector algorithmToolVector;
     PANDORA_RETURN_RESULT_IF(STATUS_CODE_SUCCESS, !=, XmlHelper::ProcessAlgorithmToolList(*this, xmlHandle, "TrackTools", algorithmToolVector));
 
     for (AlgorithmToolVector::const_iterator iter = algorithmToolVector.begin(), iterEnd = algorithmToolVector.end(); iter != iterEnd; ++iter)
     {
         TransverseTensorTool *const pTransverseTensorTool(dynamic_cast<TransverseTensorTool *>(*iter));
 
         if (!pTransverseTensorTool)
             return STATUS_CODE_INVALID_PARAMETER;
 
         m_algorithmToolVector.push_back(pTransverseTensorTool);
     }
 
     PANDORA_RETURN_RESULT_IF_AND_IF(
         STATUS_CODE_SUCCESS, STATUS_CODE_NOT_FOUND, !=, XmlHelper::ReadValue(xmlHandle, "NMaxTensorToolRepeats", m_nMaxTensorToolRepeats));
 
     PANDORA_RETURN_RESULT_IF_AND_IF(
         STATUS_CODE_SUCCESS, STATUS_CODE_NOT_FOUND, !=, XmlHelper::ReadValue(xmlHandle, "MaxFitSegmentIndex", m_maxFitSegmentIndex));
 
     PANDORA_RETURN_RESULT_IF_AND_IF(STATUS_CODE_SUCCESS, STATUS_CODE_NOT_FOUND, !=, XmlHelper::ReadValue(xmlHandle, "PseudoChi2Cut", m_pseudoChi2Cut));
 
     PANDORA_RETURN_RESULT_IF_AND_IF(STATUS_CODE_SUCCESS, STATUS_CODE_NOT_FOUND, !=,
         XmlHelper::ReadValue(xmlHandle, "MinSegmentMatchedFraction", m_minSegmentMatchedFraction));
 
     PANDORA_RETURN_RESULT_IF_AND_IF(STATUS_CODE_SUCCESS, STATUS_CODE_NOT_FOUND, !=,
         XmlHelper::ReadValue(xmlHandle, "MinSegmentMatchedPoints", m_minSegmentMatchedPoints));
 
     PANDORA_RETURN_RESULT_IF_AND_IF(STATUS_CODE_SUCCESS, STATUS_CODE_NOT_FOUND, !=,
         XmlHelper::ReadValue(xmlHandle, "MinOverallMatchedFraction", m_minOverallMatchedFraction));
 
     PANDORA_RETURN_RESULT_IF_AND_IF(STATUS_CODE_SUCCESS, STATUS_CODE_NOT_FOUND, !=,
         XmlHelper::ReadValue(xmlHandle, "MinOverallMatchedPoints", m_minOverallMatchedPoints));
 
     PANDORA_RETURN_RESULT_IF_AND_IF(STATUS_CODE_SUCCESS, STATUS_CODE_NOT_FOUND, !=,
         XmlHelper::ReadValue(xmlHandle, "MinSamplingPointsPerLayer", m_minSamplingPointsPerLayer));
 
     return BaseAlgorithm::ReadSettings(xmlHandle);
 }

Member Data Documentation

TensorToolVector lar_content::ThreeViewTransverseTracksAlgorithm::m_algorithmToolVector

private

The algorithm tool vector.

Definition at line 110 of file ThreeViewTransverseTracksAlgorithm.h.

unsigned int lar_content::ThreeViewTransverseTracksAlgorithm::m_maxFitSegmentIndex

private

The maximum number of fit segments used when identifying best overlap result.

Definition at line 113 of file ThreeViewTransverseTracksAlgorithm.h.

float lar_content::ThreeViewTransverseTracksAlgorithm::m_minOverallMatchedFraction

private

The minimum matched sampling fraction to allow particle creation.

Definition at line 117 of file ThreeViewTransverseTracksAlgorithm.h.

unsigned int lar_content::ThreeViewTransverseTracksAlgorithm::m_minOverallMatchedPoints

private

The minimum number of matched segment sampling points to allow particle creation.

Definition at line 118 of file ThreeViewTransverseTracksAlgorithm.h.

float lar_content::ThreeViewTransverseTracksAlgorithm::m_minSamplingPointsPerLayer

private

The minimum number of sampling points per layer to allow particle creation.

Definition at line 119 of file ThreeViewTransverseTracksAlgorithm.h.

float lar_content::ThreeViewTransverseTracksAlgorithm::m_minSegmentMatchedFraction

private

The minimum segment matched sampling fraction to allow segment grouping.

Definition at line 115 of file ThreeViewTransverseTracksAlgorithm.h.

unsigned int lar_content::ThreeViewTransverseTracksAlgorithm::m_minSegmentMatchedPoints

private

The minimum number of matched segment sampling points to allow segment grouping.

Definition at line 116 of file ThreeViewTransverseTracksAlgorithm.h.

unsigned int lar_content::ThreeViewTransverseTracksAlgorithm::m_nMaxTensorToolRepeats

private

The maximum number of repeat loops over tensor tools.

Definition at line 112 of file ThreeViewTransverseTracksAlgorithm.h.

float lar_content::ThreeViewTransverseTracksAlgorithm::m_pseudoChi2Cut

private

The pseudo chi2 cut to identify matched sampling points.

Definition at line 114 of file ThreeViewTransverseTracksAlgorithm.h.

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

larpandoracontent/larpandoracontent/LArThreeDReco/LArTransverseTrackMatching/ThreeViewTransverseTracksAlgorithm.h
larpandoracontent/larpandoracontent/LArThreeDReco/LArTransverseTrackMatching/ThreeViewTransverseTracksAlgorithm.cc

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