TrackShowerIdFeatureTool.h

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/**
 *  @file   larpandoracontent/LArTrackShowerId/TrackShowerIdFeatureTool.h
 *
 *  @brief  Header file for the track shower id feature tools
 *
 *  $Log: $
 */
#ifndef LAR_TRACK_SHOWER_ID_FEATURE_TOOLS_H
#define LAR_TRACK_SHOWER_ID_FEATURE_TOOLS_H 1

#include "larpandoracontent/LArHelpers/LArMvaHelper.h"

namespace lar_content
{

typedef MvaFeatureTool<const pandora::Algorithm *const, const pandora::Cluster *const> ClusterCharacterisationFeatureTool;
typedef MvaFeatureTool<const pandora::Algorithm *const, const pandora::ParticleFlowObject *const> PfoCharacterisationFeatureTool;

//------------------------------------------------------------------------------------------------------------------------------------------

/**
 *   @brief  TwoDShowerFitFeatureTool to calculate variables related to sliding shower fit
 */
class TwoDShowerFitFeatureTool : public ClusterCharacterisationFeatureTool
{
public:
    /**
     *  @brief  Default constructor
     */
    TwoDShowerFitFeatureTool();

    void Run(LArMvaHelper::MvaFeatureVector &featureVector, const pandora::Algorithm *const pAlgorithm, const pandora::Cluster *const pCluster);

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

    /**
    *  @brief  Calculation of the shower fit width variable
    *
    *  @param  pAlgorithm address of the calling algorithm
    *  @param  pCluster the cluster we are characterizing
    *
    *  @return shower fit width
    */
    float CalculateShowerFitWidth(const pandora::Algorithm *const pAlgorithm, const pandora::Cluster *const pCluster) const;

    unsigned int m_slidingShowerFitWindow; ///< The sliding shower fit window
    unsigned int m_slidingLinearFitWindow; ///< The sliding linear fit window
};

//------------------------------------------------------------------------------------------------------------------------------------------

/**
 *   @brief  TwoDLinearFitFeatureTool class for the calculation of variables related to 2d sliding linear fit
 */
class TwoDLinearFitFeatureTool : public ClusterCharacterisationFeatureTool
{
public:
    /**
     *  @brief  Default constructor
     */
    TwoDLinearFitFeatureTool();

    void Run(LArMvaHelper::MvaFeatureVector &featureVector, const pandora::Algorithm *const pAlgorithm, const pandora::Cluster *const pCluster);

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

    /**
     *  @brief  Calculation of several variables related to sliding linear fit
     *
     *  @param  pCluster the cluster we are characterizing
     *  @param  straightLineLengthLarge to receive to length reported by the straight line fit
     *  @param  diffWithStraigthLineMean to receive the difference with straight line mean variable
     *  @param  diffWithStraightLineSigma to receive the difference with straight line sigma variable
     *  @param  dTdLWidth to receive the dTdL width variable
     *  @param  maxFitGapLength to receive the max fit gap length variable
     *  @param  rmsSlidingLinearFit to receive the RMS from the linear fit
     */
    void CalculateVariablesSlidingLinearFit(const pandora::Cluster *const pCluster, float &straightLineLengthLarge, float &diffWithStraigthLineMean,
        float &diffWithStraightLineSigma, float &dTdLWidth, float &maxFitGapLength, float &rmsSlidingLinearFit) const;

    unsigned int m_slidingLinearFitWindow;      ///< The sliding linear fit window
    unsigned int m_slidingLinearFitWindowLarge; ///< The sliding linear fit window - should be large, providing a simple linear fit
};

//------------------------------------------------------------------------------------------------------------------------------------------

/**
 *   @brief  TwoDVertexDistanceFeatureTool class for the calculation of 2d distance to neutrino vertex
 */
class TwoDVertexDistanceFeatureTool : public ClusterCharacterisationFeatureTool
{
public:
    /**
     *  @brief  Default constructor
     */
    TwoDVertexDistanceFeatureTool();

    void Run(LArMvaHelper::MvaFeatureVector &featureVector, const pandora::Algorithm *const pAlgorithm, const pandora::Cluster *const pCluster);

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

    /**
     *  @brief  Calculation of vertex distance
     *
     *  @param  pCluster the cluster we are characterizing
     *
     *  @return distance to neutrino vertex
     */
    float CalculateVertexDistance(const pandora::Algorithm *const pAlgorithm, const pandora::Cluster *const pCluster) const;

    unsigned int m_slidingLinearFitWindow; ///< The sliding linear fit window
};

//------------------------------------------------------------------------------------------------------------------------------------------

/**
 *   @brief  PfoHierarchyFeatureTool for calculation of features relating to reconstructed particle hierarchy
 */
class PfoHierarchyFeatureTool : public PfoCharacterisationFeatureTool
{
public:
    /**
     *  @brief  Default constructor
     */
    PfoHierarchyFeatureTool();

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

private:
    pandora::StatusCode ReadSettings(const pandora::TiXmlHandle xmlHandle);
};

//------------------------------------------------------------------------------------------------------------------------------------------

/**
 *   @brief  ThreeDLinearFitFeatureTool class for the calculation of variables related to 3d sliding linear fit
 */
class ThreeDLinearFitFeatureTool : public PfoCharacterisationFeatureTool
{
public:
    /**
     *  @brief  Default constructor
     */
    ThreeDLinearFitFeatureTool();

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

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

    /**
     *  @brief  Calculation of several variables related to sliding linear fit
     *
     *  @param  pCluster the cluster we are characterizing
     *  @param  straightLineLengthLarge to receive to length reported by the straight line fit
     *  @param  diffWithStraigthLineMean to receive the difference with straight line mean variable
     *  @param  diffWithStraightLineSigma to receive the difference with straight line sigma variable
     *  @param  dTdLWidth to receive the dTdL width variable
     *  @param  maxFitGapLength to receive the max fit gap length variable
     *  @param  rmsSlidingLinearFit to receive the RMS from the linear fit
     */
    void CalculateVariablesSlidingLinearFit(const pandora::Cluster *const pCluster, float &straightLineLengthLarge,
        float &diffWithStraigthLineMean, float &maxFitGapLength, float &rmsSlidingLinearFit) const;

    unsigned int m_slidingLinearFitWindow;      ///< The sliding linear fit window
    unsigned int m_slidingLinearFitWindowLarge; ///< The sliding linear fit window - should be large, providing a simple linear fit
};

//------------------------------------------------------------------------------------------------------------------------------------------

/**
 *   @brief  ThreeDVertexDistanceFeatureTool class for the calculation of 3d distance to neutrino vertex
 */
class ThreeDVertexDistanceFeatureTool : public PfoCharacterisationFeatureTool
{
public:
    /**
     *  @brief  Default constructor
     */
    ThreeDVertexDistanceFeatureTool();

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

private:
    pandora::StatusCode ReadSettings(const pandora::TiXmlHandle xmlHandle);
};

//------------------------------------------------------------------------------------------------------------------------------------------

/**
 *   @brief  ThreeDOpeningAngleFeatureTool class for the calculation of distance to neutrino vertex
 */
class ThreeDOpeningAngleFeatureTool : public PfoCharacterisationFeatureTool
{
public:
    /**
     *  @brief  Default constructor
     */
    ThreeDOpeningAngleFeatureTool();

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

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

    /**
     *  @brief  Obtain positions at the vertex and non-vertex end of a list of three dimensional calo hits
     *
     *  @param  threeDCaloHitList the list of three dimensional calo hits
     *  @param  pointVectorStart to receive the positions at the start/vertex region
     *  @param  pointVectorEnd to receive the positions at the end region (opposite end to vertex)
     */
    void Divide3DCaloHitList(const pandora::Algorithm *const pAlgorithm, const pandora::CaloHitList &threeDCaloHitList,
        pandora::CartesianPointVector &pointVectorStart, pandora::CartesianPointVector &pointVectorEnd);

    /**
     *  @brief  Use the results of principal component analysis to calculate an opening angle
     *
     *  @param  principal the principal axis
     *  @param  secondary the secondary axis
     *  @param  eigenValues the eigenvalues
     *
     *  @return the opening angle
     */
    float OpeningAngle(const pandora::CartesianVector &principal, const pandora::CartesianVector &secondary,
        const pandora::CartesianVector &eigenValues) const;

    float m_hitFraction;  ///< Fraction of hits in start and end of pfo
    float m_defaultValue; ///< Default value to return, in case calculation not feasible
};

//------------------------------------------------------------------------------------------------------------------------------------------

/**
 *   @brief  ThreeDPCAFeatureTool class for the calculation of PCA-related variables
 */
class ThreeDPCAFeatureTool : public PfoCharacterisationFeatureTool
{
public:
    /**
     *  @brief  Default constructor
     */
    ThreeDPCAFeatureTool();

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

private:
    pandora::StatusCode ReadSettings(const pandora::TiXmlHandle xmlHandle);
};

//------------------------------------------------------------------------------------------------------------------------------------------

/**
 *   @brief  ThreeDChargeFeatureTool class for the calculation of charge-related features
 */
class ThreeDChargeFeatureTool : public PfoCharacterisationFeatureTool
{
public:
    /**
     *  @brief  Default constructor
     */
    ThreeDChargeFeatureTool();

    /**
     *  @brief  VertexComparator class for comparison of two points wrt neutrino vertex position
     */
    class VertexComparator
    {
    public:
        /**
         *  @brief  Constructor
         */
        VertexComparator(const pandora::CartesianVector vertexPosition2D);

        /**
         *  @brief  operator <
         *
         *  @param  rhs object for comparison
         *
         *  @return boolean
         */
        bool operator()(const pandora::CaloHit *const left, const pandora::CaloHit *const right) const;

        pandora::CartesianVector m_neutrinoVertex; //The neutrino vertex used to sort
    };

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

private:
    /**
     *  @brief  Calculation of the charge variables
     *
     *  @param  pAlgorithm, the algorithm
     *  @param  pCluster the cluster we are characterizing
     *  @param  totalCharge, to receive the total charge
     *  @param  chargeSigma, to receive the charge sigma
     *  @param  chargeMean, to receive the charge mean
     *  @param  startCharge, to receive the charge in the initial 10% hits
     *  @param  endCharge, to receive the charge in the last 10% hits
     */
    void CalculateChargeVariables(const pandora::Algorithm *const pAlgorithm, const pandora::Cluster *const pCluster, float &totalCharge,
        float &chargeSigma, float &chargeMean, float &endCharge);

    /**
     *  @brief  Function to order the calo hit list by distance to neutrino vertex
     *
     *  @param  pAlgorithm, the algorithm
     *  @param  pCluster the cluster we are characterizing
     *  @param  caloHitList to receive the ordered calo hit list
     *
     */
    void OrderCaloHitsByDistanceToVertex(
        const pandora::Algorithm *const pAlgorithm, const pandora::Cluster *const pCluster, pandora::CaloHitList &caloHitList);

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

    float m_endChargeFraction; ///< Fraction of hits that will be considered to calculate end charge (default 10%)
};

} // namespace lar_content

#endif // #ifndef LAR_TRACK_SHOWER_ID_FEATURE_TOOLS_H