LArPcaHelper class. More...

#include "LArPcaHelper.h"

Public Types
typedef pandora::CartesianVector	EigenValues

typedef std::vector< pandora::CartesianVector >	EigenVectors

typedef std::pair< const pandora::CartesianVector, double >	WeightedPoint

typedef std::vector< WeightedPoint >	WeightedPointVector

Static Public Member Functions
template<typename T >
static void	RunPca (const T &t, pandora::CartesianVector &centroid, EigenValues &outputEigenValues, EigenVectors &outputEigenVectors)
	Run principal component analysis using input calo hits (TPC_VIEW_U,V,W or TPC_3D; all treated as 3D points)

static void	RunPca (const WeightedPointVector &pointVector, pandora::CartesianVector &centroid, EigenValues &outputEigenValues, EigenVectors &outputEigenVectors)
	Run principal component analysis using weighted input Cartesian vectors (TPC_VIEW_U,V,W or TPC_3D; all treated as 3D points)

Detailed Description

LArPcaHelper class.

Definition at line 21 of file LArPcaHelper.h.

Member Typedef Documentation

◆ EigenValues

typedef pandora::CartesianVector lar_content::LArPcaHelper::EigenValues

Definition at line 24 of file LArPcaHelper.h.

◆ EigenVectors

typedef std::vector<pandora::CartesianVector> lar_content::LArPcaHelper::EigenVectors

Definition at line 25 of file LArPcaHelper.h.

◆ WeightedPoint

typedef std::pair<const pandora::CartesianVector, double> lar_content::LArPcaHelper::WeightedPoint

Definition at line 26 of file LArPcaHelper.h.

◆ WeightedPointVector

typedef std::vector<WeightedPoint> lar_content::LArPcaHelper::WeightedPointVector

Definition at line 27 of file LArPcaHelper.h.

Member Function Documentation

◆ RunPca() [1/2]

template<typename T >

void lar_content::LArPcaHelper::RunPca	(	const T &	t,
		pandora::CartesianVector &	centroid,
		EigenValues &	outputEigenValues,
		EigenVectors &	outputEigenVectors
	)

static

Run principal component analysis using input calo hits (TPC_VIEW_U,V,W or TPC_3D; all treated as 3D points)

Parameters

t	the input information
centroid	to receive the centroid position
outputEigenValues	to receive the eigen values
outputEigenVectors	to receive the eigen vectors

Definition at line 21 of file LArPcaHelper.cc.

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◆ RunPca() [2/2]

void lar_content::LArPcaHelper::RunPca	(	const WeightedPointVector &	pointVector,
		pandora::CartesianVector &	centroid,
		EigenValues &	outputEigenValues,
		EigenVectors &	outputEigenVectors
	)