Hough Tree for finding StereoHits using a templated class as the item type. More...

#include <Z0TanLambdaLegendre.h>

Inheritance diagram for Z0TanLambdaLegendre< AHitPointerType, AHitDecisionAlgorithm, z0Divisions, tanLambdaDivisions >:

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Collaboration diagram for Z0TanLambdaLegendre< AHitPointerType, AHitDecisionAlgorithm, z0Divisions, tanLambdaDivisions >:

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Public Types
using	DecisionAlgorithm = AHitDecisionAlgorithm
	typedef of the templated AHitDecisionAlgorithm; used to reach methods defined in the algorithm e.g. debugLine, centerX, centerY etc.

using	BoxDivision = SectoredLinearDivision< HoughBox, divisions... >
	Type of the box division strategy.

using	HoughTree = WeightedFastHoughTree< AHitPtr, HoughBox, BoxDivision >
	Type of the fast hough tree structure.

using	Type = typename HoughBox::template Type< I >
	Type of the coordinate I.

using	HasType = typename HoughBox::template HasType< T >
	Predicate that the given type is indeed a coordinate of the hough space.

using	TypeIndex = typename HoughBox::template TypeIndex< T >
	Function to get the coordinate index from its type.

using	Node = typename HoughTree::Node
	Type of the nodes used in the tree for the search.

Public Member Functions
	Z0TanLambdaLegendre ()
	Constructor using the given maximal level setting the maximal values.

void	writeDebugInfoToFile (const std::string &filename)
	Write out some debug information to a ROOT file with the given name. More...

void	drawDebugPlot (const std::vector< CDCRecoHit3D > &allHits, const std::vector< CDCRecoHit3D > &foundHits, const typename AInBoxAlgorithm::HoughBox &node)
	Draw the results to a ROOT TCanvas.

void	initialize ()
	Initialize the tree with the given values.

std::vector< std::pair< HoughBox, std::vector< AHitPtr > > >	findSingleBest (const Weight &minWeight)
	Find only the leave with the highest weight = number of items.

float	getMaximumX () const
	Return the maximum value in x direction.

float	getMaximumY () const
	Return the maximum value in y direction.

Width< 0 >	getOverlapX () const
	Return the overlap in x direction.

Width< 1 >	getOverlapY () const
	Return the overlap in y direction.

size_t	getDivision (size_t i) const
	Getter the number of divisions at each level for coordinate index I.

void	constructArray (double lowerBound, double upperBound, Width< I > nBinOverlap=0, Width< I > nBinWidth=0)
	Construct the discrete value array at coordinate index I. More...

void	assignArray (Array< I > array, Width< I > overlap=0)
	Provide an externally constructed array by coordinate index.

std::enable_if_t< HasType< T >::value, void >	assignArray (Array< TypeIndex< T >::value > array, Width< TypeIndex< T >::value > overlap=0)
	Provide an externally constructed array by coordinate type.

void	seed (const AItemPtrs &items)
	Prepare the leave finding by filling the top node with given hits.

void	fell ()
	Terminates the processing by striping all hit information from the tree.

void	raze ()
	Release all memory that the tree aquired during the runs.

HoughTree *	getTree () const
	Getter for the tree used in the search in the hough plane.

int	getMaxLevel () const
	Getter for the currently set maximal level.

void	setMaxLevel (int maxLevel)
	Setter maximal level of the hough tree.

int	getSectorLevelSkip () const
	Getter for number of levels to skip in first level to form a finer sectored hough space.

void	setSectorLevelSkip (int sectorLevelSkip)
	Setter for number of levels to skip in first level to form a finer sectored hough space.

const Array< I > &	getArray () const
	Getter for the array of discrete value for coordinate I.

Private Types
using	Super = DebugableSimpleBoxDivisionHoughTree< AHitPointerType, AHitDecisionAlgorithm, z0Divisions, tanLambdaDivisions >
	Super type.

using	HoughBox = typename AInBoxAlgorithm::HoughBox
	The HoughBox we use.

template<size_t I>
using	Width = typename HoughBox::template Width< I >
	Type of the width in coordinate I.

using	Array = typename Type< I >::Array
	Type of the discrete value array to coordinate index I.

using	Arrays = TupleGenerateN< Array, sizeof...(divisions)>
	Tuple type of the discrete value arrays.

Private Member Functions
void	fillAll ()
	Fill the tree till all nodes are touched once. More...

HoughBox	constructHoughPlaneImpl (const std::index_sequence< Is... > &is)
	Construct the box of the top node of the tree. Implementation unroling the indices.

HoughBox	constructHoughPlane ()
	Construct the box of the top node of the tree.

Private Attributes
float	m_maximumX = 0
	The maximum value in X direction.

float	m_maximumY = 0
	The maximum value in y direction.

Width< 0 >	m_overlapX = 0
	The overlap in X direction.

Width< 1 >	m_overlapY = 0
	The overlap in Y direction.

int	m_maxLevel
	Number of the maximum tree level.

int	m_sectorLevelSkip
	Number of levels to skip in first level to form a finer sectored hough space.

const std::array< size_t, sizeof ...(divisions)>	m_divisions
	Array of the number of divisions at each level.

HoughBox::Delta	m_overlaps
	An tuple of division overlaps in each coordinate.

Arrays	m_arrays
	A tuple of value arrays providing the memory for the discrete bin bounds.

std::unique_ptr< HoughTree >	m_houghTree
	Dynamic hough tree structure traversed in the leaf search.

Detailed Description

template<class AHitPointerType, class AHitDecisionAlgorithm, size_t z0Divisions = 2, size_t tanLambdaDivisions = 2>
class Belle2::TrackFindingCDC::Z0TanLambdaLegendre< AHitPointerType, AHitDecisionAlgorithm, z0Divisions, tanLambdaDivisions >

Hough Tree for finding StereoHits using a templated class as the item type.

This implementation uses a templated decision algorithm and typical maximum values for z0 (+- 120) and s-z-slope (+- 75°) with (as default) 2 divisions for each step. This class is more or less only alias. The real algorithm can be found in SimpeBoxDivisionHoughTree.

Definition at line 28 of file Z0TanLambdaLegendre.h.

Member Function Documentation

◆ constructArray()

void constructArray	(	double	lowerBound,
		double	upperBound,
		Width< I >	nBinOverlap = `0`,
		Width< I >	nBinWidth = `0`
	)

inlineinherited

Construct the discrete value array at coordinate index I.

This function is only applicable for discrete axes. For continuous axes assignArray should be call with an array containing only the lower and upper bound of the axes range and an optional overlap.

Parameters

lowerBound	Lower bound of the value range
upperBound	Upper bound of the value range
nBinOverlap	Overlap of neighboring bins. Default is no overlap. Usuallly this is counted in number of discrete values
nBinWidth	Width of the bins at lowest level. Default is width of 1. Usually this is counted in numbers of discrete values

Definition at line 104 of file BoxDivisionHoughTree.h.

◆ fillAll()

void fillAll ( )

inlineprivateinherited

Fill the tree till all nodes are touched once.

This is not for finding results, but for debug reasons.

Definition at line 171 of file DebugableSimpleBoxDivisionHoughTree.h.

◆ writeDebugInfoToFile()

void writeDebugInfoToFile ( const std::string & filename )

inlineinherited

Write out some debug information to a ROOT file with the given name.

This must be done before felling the tree. Attention: This will delete a ROOT file with the same name if already present.

Parameters

filename The ROOT filename.

Definition at line 42 of file DebugableSimpleBoxDivisionHoughTree.h.

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

tracking/trackFindingCDC/hough/z0_tanLambda/include/Z0TanLambdaLegendre.h

Public Types

Public Member Functions

Private Types

Private Member Functions