LinearFitFeatureTool class for the calculation of variables related to sliding linear fit. More...

#include "TrackShowerIdFeatureTool.h"

Inheritance diagram for lar_content::TwoDLinearFitFeatureTool:

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

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

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

virtual void	Run (MvaTypes::MvaFeatureVector &featureVector, Ts...args)=0
	Run the algorithm tool. More...

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

void	CalculateVariablesSlidingLinearFit (const pandora::Cluster *const pCluster, float &straightLineLengthLarge, float &diffWithStraigthLineMean, float &diffWithStraightLineSigma, float &dTdLWidth, float &maxFitGapLength, float &rmsSlidingLinearFit) const
	Calculation of several variables related to sliding linear fit. More...

Private Attributes
unsigned int	m_slidingLinearFitWindow
	The sliding linear fit window. More...

unsigned int	m_slidingLinearFitWindowLarge
	The sliding linear fit window - should be large, providing a simple linear fit. More...

Detailed Description

LinearFitFeatureTool class for the calculation of variables related to sliding linear fit.

Definition at line 55 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::TwoDLinearFitFeatureTool::TwoDLinearFitFeatureTool ( )

Default constructor.

Definition at line 76 of file TrackShowerIdFeatureTool.cc.

                                                    :
     m_slidingLinearFitWindow(3),
     m_slidingLinearFitWindowLarge(10000)
 {
 }

Member Function Documentation

void lar_content::TwoDLinearFitFeatureTool::CalculateVariablesSlidingLinearFit	(	const pandora::Cluster *const	pCluster,
		float &	straightLineLengthLarge,
		float &	diffWithStraigthLineMean,
		float &	diffWithStraightLineSigma,
		float &	dTdLWidth,
		float &	maxFitGapLength,
		float &	rmsSlidingLinearFit
	)		const

private

Calculation of several variables related to sliding linear fit.

Parameters

pCluster	the cluster we are characterizing
straightLineLengthLarge	to receive to length reported by the straight line fit
diffWithStraigthLineMean	to receive the difference with straight line mean variable
diffWithStraightLineSigma	to receive the difference with straight line sigma variable
dTdLWidth	to receive the dTdL width variable
maxFitGapLength	to receive the max fit gap length variable
rmsSlidingLinearFit	to receive the RMS from the linear fit

Definition at line 112 of file TrackShowerIdFeatureTool.cc.

References lar_content::LArGeometryHelper::CalculateGapDeltaZ(), f, lar_content::LArClusterHelper::GetClusterHitType(), lar_content::LayerFitResult::GetFitT(), lar_content::TwoDSlidingFitResult::GetGlobalMaxLayerPosition(), lar_content::TwoDSlidingFitResult::GetGlobalMinLayerPosition(), lar_content::TwoDSlidingFitResult::GetGlobalPosition(), lar_content::LayerFitResult::GetGradient(), lar_content::LayerFitResult::GetL(), lar_content::TwoDSlidingFitResult::GetLayer(), lar_content::TwoDSlidingFitResult::GetLayerFitResultMap(), lar_content::LayerFitResult::GetRms(), lar_content::LArGeometryHelper::GetWireZPitch(), m_slidingLinearFitWindow, m_slidingLinearFitWindowLarge, max, and min.

Referenced by Run().

 {
     try
     {
         const TwoDSlidingFitResult slidingFitResult(pCluster, m_slidingLinearFitWindow, LArGeometryHelper::GetWireZPitch(this->GetPandora()));
         const TwoDSlidingFitResult slidingFitResultLarge(pCluster, m_slidingLinearFitWindowLarge, LArGeometryHelper::GetWireZPitch(this->GetPandora()));
 
         if (slidingFitResult.GetLayerFitResultMap().empty())
             throw StatusCodeException(STATUS_CODE_NOT_INITIALIZED);
 
         straightLineLengthLarge = (slidingFitResultLarge.GetGlobalMaxLayerPosition() - slidingFitResultLarge.GetGlobalMinLayerPosition()).GetMagnitude();
         rmsSlidingLinearFit = 0.f;
 
         FloatVector diffWithStraightLineVector;
         const HitType hitType(LArClusterHelper::GetClusterHitType(pCluster));
         CartesianVector previousFitPosition(slidingFitResult.GetGlobalMinLayerPosition());
         float dTdLMin(+std::numeric_limits<float>::max()), dTdLMax(-std::numeric_limits<float>::max());
 
         for (const auto &mapEntry : slidingFitResult.GetLayerFitResultMap())
         {
             const LayerFitResult &layerFitResult(mapEntry.second);
             rmsSlidingLinearFit += layerFitResult.GetRms();
 
             CartesianVector thisFitPosition(0.f, 0.f, 0.f);
             slidingFitResult.GetGlobalPosition(layerFitResult.GetL(), layerFitResult.GetFitT(), thisFitPosition);
 
             LayerFitResultMap::const_iterator iterLarge = slidingFitResultLarge.GetLayerFitResultMap().find(slidingFitResultLarge.GetLayer(layerFitResult.GetL()));
 
             if (slidingFitResultLarge.GetLayerFitResultMap().end() == iterLarge)
                 throw StatusCodeException(STATUS_CODE_FAILURE);
 
             diffWithStraightLineVector.push_back(static_cast<float>(std::fabs(layerFitResult.GetFitT() - iterLarge->second.GetFitT())));
 
             const float thisGapLength((thisFitPosition - previousFitPosition).GetMagnitude());
             const float minZ(std::min(thisFitPosition.GetZ(), previousFitPosition.GetZ()));
             const float maxZ(std::max(thisFitPosition.GetZ(), previousFitPosition.GetZ()));
 
             if ((maxZ - minZ) > std::numeric_limits<float>::epsilon())
             {
                 const float gapZ(LArGeometryHelper::CalculateGapDeltaZ(this->GetPandora(), minZ, maxZ, hitType));
                 const float correctedGapLength(thisGapLength * (1.f - gapZ / (maxZ - minZ)));
 
                 if (correctedGapLength > maxFitGapLength)
                     maxFitGapLength = correctedGapLength;
             }
 
             dTdLMin = std::min(dTdLMin, static_cast<float>(layerFitResult.GetGradient()));
             dTdLMax = std::max(dTdLMax, static_cast<float>(layerFitResult.GetGradient()));
             previousFitPosition = thisFitPosition;
         }
 
         if (diffWithStraightLineVector.empty())
             throw StatusCodeException(STATUS_CODE_FAILURE);
 
         diffWithStraightLineMean = 0.f;
         diffWithStraightLineSigma = 0.f;
 
         for (const float diffWithStraightLine : diffWithStraightLineVector)
             diffWithStraightLineMean += diffWithStraightLine;
 
         diffWithStraightLineMean /= static_cast<float>(diffWithStraightLineVector.size());
 
         for (const float diffWithStraightLine : diffWithStraightLineVector)
             diffWithStraightLineSigma += (diffWithStraightLine - diffWithStraightLineMean) * (diffWithStraightLine - diffWithStraightLineMean);
 
         if (diffWithStraightLineSigma < 0.f)
             throw StatusCodeException(STATUS_CODE_FAILURE);
 
         diffWithStraightLineSigma = std::sqrt(diffWithStraightLineSigma / static_cast<float>(diffWithStraightLineVector.size()));
         dTdLWidth = dTdLMax - dTdLMin;
     }
     catch (const StatusCodeException &)
     {
         straightLineLengthLarge = -1.f;
         diffWithStraightLineMean = -1.f;
         diffWithStraightLineSigma = -1.f;
         dTdLWidth = -1.f;
         maxFitGapLength = -1.f;
         rmsSlidingLinearFit = -1.f;
     }
 }

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

private

Definition at line 197 of file TrackShowerIdFeatureTool.cc.

References m_slidingLinearFitWindow, and m_slidingLinearFitWindowLarge.

 {
     PANDORA_RETURN_RESULT_IF_AND_IF(STATUS_CODE_SUCCESS, STATUS_CODE_NOT_FOUND, !=, XmlHelper::ReadValue(xmlHandle,
         "SlidingLinearFitWindow", m_slidingLinearFitWindow));
 
     PANDORA_RETURN_RESULT_IF_AND_IF(STATUS_CODE_SUCCESS, STATUS_CODE_NOT_FOUND, !=, XmlHelper::ReadValue(xmlHandle,
         "SlidingLinearFitWindowLarge", m_slidingLinearFitWindowLarge));
 
     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::TwoDLinearFitFeatureTool::Run	(	LArMvaHelper::MvaFeatureVector &	featureVector,
		const pandora::Algorithm *const	pAlgorithm,
		const pandora::Cluster *const	pCluster
	)

Definition at line 84 of file TrackShowerIdFeatureTool.cc.

References CalculateVariablesSlidingLinearFit(), and f.

 {
     if (PandoraContentApi::GetSettings(*pAlgorithm)->ShouldDisplayAlgorithmInfo())
         std::cout << "----> Running Algorithm Tool: " << this->GetInstanceName() << ", " << this->GetType() << std::endl;
 
     float dTdLWidth(-1.f), straightLineLengthLarge(-1.f), diffWithStraightLineMean(-1.f), diffWithStraightLineSigma(-1.f), maxFitGapLength(-1.f), rmsSlidingLinearFit(-1.f);
     this->CalculateVariablesSlidingLinearFit(pCluster, straightLineLengthLarge, diffWithStraightLineMean, diffWithStraightLineSigma, dTdLWidth, maxFitGapLength, rmsSlidingLinearFit);
 
     if (straightLineLengthLarge > std::numeric_limits<float>::epsilon())
     {
         diffWithStraightLineMean  /= straightLineLengthLarge;
         diffWithStraightLineSigma /= straightLineLengthLarge;
         dTdLWidth                 /= straightLineLengthLarge;
         maxFitGapLength           /= straightLineLengthLarge;
         rmsSlidingLinearFit       /= straightLineLengthLarge;
     }
 
     featureVector.push_back(straightLineLengthLarge);
     featureVector.push_back(diffWithStraightLineMean);
     featureVector.push_back(diffWithStraightLineSigma);
     featureVector.push_back(dTdLWidth);
     featureVector.push_back(maxFitGapLength);
     featureVector.push_back(rmsSlidingLinearFit);
 }

Member Data Documentation

unsigned int lar_content::TwoDLinearFitFeatureTool::m_slidingLinearFitWindow

private

The sliding linear fit window.

Definition at line 82 of file TrackShowerIdFeatureTool.h.

Referenced by CalculateVariablesSlidingLinearFit(), and ReadSettings().

unsigned int lar_content::TwoDLinearFitFeatureTool::m_slidingLinearFitWindowLarge

private

The sliding linear fit window - should be large, providing a simple linear fit.

Definition at line 83 of file TrackShowerIdFeatureTool.h.

Referenced by CalculateVariablesSlidingLinearFit(), and ReadSettings().

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

/cvmfs/larsoft.opensciencegrid.org/products/larpandoracontent/v03_14_03/source/larpandoracontent/LArTrackShowerId/TrackShowerIdFeatureTool.h
/cvmfs/larsoft.opensciencegrid.org/products/larpandoracontent/v03_14_03/source/larpandoracontent/LArTrackShowerId/TrackShowerIdFeatureTool.cc

Public Types

Public Member Functions

Private Member Functions

Private Attributes

Detailed Description

Member Typedef Documentation

Constructor & Destructor Documentation

Member Function Documentation

Member Data Documentation