lar_content::ThreeDPCAFeatureTool Class Reference

PCA class for the calculation of PCA-related variables. More...

#include "TrackShowerIdFeatureTool.h"

Inheritance diagram for lar_content::ThreeDPCAFeatureTool:

Public Types
typedef std::vector< MvaFeatureTool< Ts... > * >	FeatureToolVector

Public Member Functions
	ThreeDPCAFeatureTool ()
	Default constructor. More...
void	Run (LArMvaHelper::MvaFeatureVector &featureVector, const pandora::Algorithm *const pAlgorithm, const pandora::ParticleFlowObject *const pInputPfo)
virtual void	Run (MvaTypes::MvaFeatureVector &featureVector, Ts...args)=0
	Run the algorithm tool. More...

Private Member Functions
pandora::StatusCode	ReadSettings (const pandora::TiXmlHandle xmlHandle)

Detailed Description

PCA class for the calculation of PCA-related variables.

Definition at line 205 of file TrackShowerIdFeatureTool.h.

Member Typedef Documentation

template<typename... Ts>

typedef std::vector<MvaFeatureTool<Ts...> *> lar_content::MvaFeatureTool< Ts >::FeatureToolVector

inherited

Definition at line 30 of file LArMvaHelper.h.

Constructor & Destructor Documentation

lar_content::ThreeDPCAFeatureTool::ThreeDPCAFeatureTool

(

)

Default constructor.

Definition at line 565 of file TrackShowerIdFeatureTool.cc.

{
}

Member Function Documentation

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

private

Definition at line 611 of file TrackShowerIdFeatureTool.cc.

{
    return STATUS_CODE_SUCCESS;
}

template<typename... Ts>

virtual void lar_content::MvaFeatureTool< Ts >::Run ( MvaTypes::MvaFeatureVector &  featureVector, Ts...  args  )

pure virtualinherited

Run the algorithm tool.

Parameters

featureVector	the vector of features to append
args	arguments to pass to the tool

void lar_content::ThreeDPCAFeatureTool::Run	(	LArMvaHelper::MvaFeatureVector &	featureVector,
		const pandora::Algorithm *const	pAlgorithm,
		const pandora::ParticleFlowObject *const	pInputPfo
	)

Definition at line 571 of file TrackShowerIdFeatureTool.cc.

References f, lar_content::LArPfoHelper::GetCaloHits(), lar_content::LArPfoHelper::GetThreeDClusterList(), and lar_content::LArPcaHelper::RunPca().

{
    if (PandoraContentApi::GetSettings(*pAlgorithm)->ShouldDisplayAlgorithmInfo())
        std::cout << "----> Running Algorithm Tool: " << this->GetInstanceName() << ", " << this->GetType() << std::endl;

    LArMvaHelper::MvaFeature pca1, pca2;
    // Need the 3D cluster and hits to calculate PCA components
    ClusterList threeDClusterList;
    LArPfoHelper::GetThreeDClusterList(pInputPfo, threeDClusterList);

    CaloHitList threeDCaloHitList;
    LArPfoHelper::GetCaloHits(pInputPfo, TPC_3D, threeDCaloHitList);


    if ((!threeDClusterList.empty()) && (!threeDCaloHitList.empty()))
    {
        // Run the PCA analysis
        CartesianVector centroid(0.f, 0.f, 0.f);
        LArPcaHelper::EigenVectors eigenVecs;
        LArPcaHelper::EigenValues eigenValues(0.f, 0.f, 0.f);
        try
        {
            LArPcaHelper::RunPca(threeDCaloHitList, centroid, eigenValues, eigenVecs);
            const float principalEigenvalue(eigenValues.GetX()), secondaryEigenvalue(eigenValues.GetY()), tertiaryEigenvalue(eigenValues.GetZ());
            if (principalEigenvalue > std::numeric_limits<float>::epsilon())
            {
                pca1 = secondaryEigenvalue/principalEigenvalue;
                pca2 = tertiaryEigenvalue/principalEigenvalue;
            }
        }
        catch (const StatusCodeException &){}
    }

    featureVector.push_back(pca1);
    featureVector.push_back(pca2);
}

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

• larpandoracontent/v03_13_02/source/larpandoracontent/LArTrackShowerId/TrackShowerIdFeatureTool.h
• larpandoracontent/v03_13_02/source/larpandoracontent/LArTrackShowerId/TrackShowerIdFeatureTool.cc