Herd::TracksDistanceSorterAlgo Class Reference

Algorithm that sort tracks according to their proximity to the CALO axis. More...

#include <TracksDistanceSorterAlgo.h>

Inheritance diagram for Herd::TracksDistanceSorterAlgo:

Public Member Functions
	TracksDistanceSorterAlgo (const std::string &name)
	Constructor. More...
bool	Initialize () override
	Initializes the algo. More...
bool	Process () override
	Processes an event. More...
bool	Finalize () override
	Finalizes the algo. More...

Private Attributes
std::string	_axisType
float	_maxDistance
bool	_controlPlots
std::vector< float >	_meanDistPlotsBins
std::shared_ptr< TH1I >	_meanDistXZ
std::shared_ptr< TH1I >	_meanDistYZ
std::shared_ptr< TH1I >	_meanDistXY
std::shared_ptr< TH2I >	_meanDistSctXZ
std::shared_ptr< TH2I >	_meanDistSctYZ
std::shared_ptr< TH2I >	_meanDistSctXY
StorePtr	_evStore
StorePtr	_globStore

Detailed Description

Algorithm that sort tracks according to their proximity to the CALO axis.

This algorithm sorts the tracks found by the Hough finder according to the proximity to the CALO axis. The absolute values of the track-axis distance are evaluated in each projection on a set of reference layers, and their mean is used to classify and order the tracks, the nearest ones being placed at the beginning of the tracks arrays.

The algorithm can optionally eliminate the tracks lying too far from the CALO axis: by setting the maxDistance parameter to a value greater than 0, the tracks whose mean distance from the axis on the reference layers is greater than maxDistance will be removed from the tracks vector.

By setting the controlPlots parameter to true the algorithm will also produce some control plots.

Needed event objects:

name	type	store	optional	description
HoughTracks	Track2DColl	evStore	No	The Hough tracks.
caloAxes	Tracks	evStore	No	The CALO axes.
mcTruth	MCTruth	evStore	Yes	The MC truth

Needed global objects: name | type | store | optional | description -----------------------—|-----------------—|----------—|-------—|----------------------—

Modified event objects:

name	type	alias	store	description
tracks2DColl	Track2DColl		evStore	Tracks will be sorted and eventually eliminated according to their proximity to the CALO axis.

Produced global objects:

name	type	alias	store	description
<algoName>_meanDist_{XZ,YZ,XY}	TH1I		evStore	Control plots with mean axis-track absolute distances on the three views.
<algoName>_meanDistSct_{XZ,YZ,XY}	TH2I		evStore	Scatter plots with mean (axis-track vs mctrack-track) absolute distances on the three views.

Parameters:

name	type	default value	description
mainAxisType	std::string	"caloaxis"	"caloaxis" or "mctruth"
maxDistance	float	0.	The maximum allowed track-axis distance (cm).
controlPlots	bool	false	If set to true then control plots will be produced.
meanDistPlotsBins	std::vector<float>	{100, 0., 5}	Bins for the mean absolute distance control plots {nBins, minDist (cm), maxDist (cm)}.

Constructor & Destructor Documentation

TracksDistanceSorterAlgo()

Herd::TracksDistanceSorterAlgo::TracksDistanceSorterAlgo

(

const std::string &

name

)

Constructor.

Parameters

name	The name of the algorithm object.

Member Function Documentation

Finalize()

bool Herd::TracksDistanceSorterAlgo::Finalize ( )

override

Finalizes the algo.

Returns

true if no error occurs during finalization, false otherwise.

Initialize()

bool Herd::TracksDistanceSorterAlgo::Initialize ( )

override

Initializes the algo.

Returns

true if initialization is done without errors, false otherwise.

Process()

bool Herd::TracksDistanceSorterAlgo::Process ( )

override

Processes an event.

Returns

true if no error occurs during processing, false otherwise.

Member Data Documentation

_axisType

std::string Herd::TracksDistanceSorterAlgo::_axisType

private

_controlPlots

bool Herd::TracksDistanceSorterAlgo::_controlPlots

private

_evStore

StorePtr Herd::TracksDistanceSorterAlgo::_evStore

private

_globStore

StorePtr Herd::TracksDistanceSorterAlgo::_globStore

private

_maxDistance

float Herd::TracksDistanceSorterAlgo::_maxDistance

private

_meanDistPlotsBins

std::vector<float> Herd::TracksDistanceSorterAlgo::_meanDistPlotsBins

private

_meanDistSctXY

std::shared_ptr<TH2I> Herd::TracksDistanceSorterAlgo::_meanDistSctXY

private

_meanDistSctXZ

std::shared_ptr<TH2I> Herd::TracksDistanceSorterAlgo::_meanDistSctXZ

private

_meanDistSctYZ

std::shared_ptr<TH2I> Herd::TracksDistanceSorterAlgo::_meanDistSctYZ

private

_meanDistXY

std::shared_ptr<TH1I> Herd::TracksDistanceSorterAlgo::_meanDistXY

private

_meanDistXZ

std::shared_ptr<TH1I> Herd::TracksDistanceSorterAlgo::_meanDistXZ

private

_meanDistYZ

std::shared_ptr<TH1I> Herd::TracksDistanceSorterAlgo::_meanDistYZ

private

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

• /builds/herd/HerdSoftware/include/analysis/algorithms/tracking/TracksDistanceSorterAlgo.h
• /builds/herd/HerdSoftware/src/analysis/algorithms/tracking/TracksDistanceSorterAlgo.cpp