Class representing a cluster candidate during simple clustering of the SVD. More...

#include <SimpleClusterCandidate.h>

Collaboration diagram for SimpleClusterCandidate:

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Public Member Functions
	SimpleClusterCandidate (VxdID vxdID, bool isUside, int sizeHeadTail, double cutSeed, double cutAdjacent, double cutSNR, int timeAlgorithm)
	Constructor to create an empty Cluster.

	SimpleClusterCandidate (VxdID vxdID, bool isUside, int sizeHeadTail, double cutSeed, double cutAdjacent, double cutSNR, int timeAlgorithm, const std::string &storeShaperDigitsName, const std::string &storeRecoDigitsName)
	You can specify the name of StoreArray<SVDShaperDigit> and StoreArray<SVDRecoDigit> More...

bool	add (VxdID vxdID, bool isUside, struct stripInCluster &aStrip)
	Add a Strip to the current cluster. More...

void	finalizeCluster ()
	compute the position, time and their error of the cluster

bool	isGoodCluster ()
	return true if the cluster candidate can be promoted to cluster

VxdID	getSensorID ()
	return the VxdID of the cluster sensor

bool	isUSide ()
	return true if the cluster is on the U/P side

float	getCharge () const
	return the charge of the cluster

float	getChargeError () const
	return the error of the charge of the cluster

float	getSeedCharge () const
	return the seed charge of the cluster

float	getTime () const
	return the time of the cluster depending on the m_timeAlgorithm

float	get6SampleCoGTime () const
	return the time of the cluster for the 6-sample CoG

float	get3SampleCoGRawTime () const
	return the raw time of the cluster for the 3-sample CoG

float	get3SampleELSRawTime () const
	return the raw time of the cluster for the 3-sample ELS

float	getTimeError () const
	return the error on the time of the cluster depending on the m_timeAlgorithm, implemented only for the 6-Sample CoG

float	get6SampleCoGTimeError () const
	return the time of the cluster for the 6-sample CoG

float	get3SampleCoGTimeError () const
	return the time of the cluster for the 3-sample CoG

float	get3SampleELSTimeError () const
	return the time of the cluster for the 3-sample ELS

Belle2::SVDShaperDigit::APVFloatSamples	getClsSamples () const
	returns the APVFloatSamples obtained summing sample-by-sample all the strips on the cluster

std::pair< int, std::vector< float > >	getMaxSum3Samples () const
	returns the float vector of clustered 3-samples selected by the MaxSum method with First Frame of the selection

int	getFirstFrame ()
	return the first frame always 0 if 6-Sample CoG

float	getPosition () const
	return the position of the cluster

float	getPositionError () const
	return the error on the position of the cluster

float	getSNR () const
	return the signal over noise ratio of the cluster

int	size () const
	return the cluster size (number of strips of the cluster

const std::vector< stripInCluster >	getStripsInCluster () const
	returns the vector of the strips in the cluster

Protected Attributes
bool	m_stopCreationCluster = false
	cluster is not good if something goes wrong

VxdID	m_vxdID
	VxdID of the cluster.

bool	m_isUside
	side of the cluster

int	m_sizeHeadTail
	number of strips after which we switch from COG to HeadTail estimation of the position

double	m_cutSeed
	SNR above which the strip can be considered as seed.

double	m_cutAdjacent
	SNR above which the strip can be considered for clustering.

double	m_cutCluster
	SNR above which the cluster is ok.

int	m_timeAlgorithm = 0
	selects the algorithm to compute the cluster tim 0 = 6-sample CoG (default) 1 = 3-sample CoG 2 = 3-sample ELS

float	m_charge
	Charge of the cluster.

float	m_chargeError
	Error on Charge of the cluster.

float	m_seedCharge
	Seed Charge of the cluster.

float	m_6SampleTime
	Time of the cluster computed with the 6-sample CoG.

float	m_6SampleTimeError
	Error on Time of the cluster computed with the 6-sample CoG (not implemented yet)

float	m_position
	Position of the cluster.

float	m_positionError
	Error on Position of the cluster.

float	m_SNR
	SNR of the cluster.

float	m_seedSNR
	SNR of the seed strip.

int	m_seedIndex
	SVDRecoDigit index of the seed strip of the cluster.

std::vector< stripInCluster >	m_strips
	first frame selected with the max-sum algorithm More...

std::string	m_storeShaperDigitsName
	Name of the collection to use for the SVDShaperDigits.

std::string	m_storeRecoDigitsName
	Name of the collection to use for the SVDRecoDigits.

Detailed Description

Class representing a cluster candidate during simple clustering of the SVD.

Definition at line 40 of file SimpleClusterCandidate.h.

Constructor & Destructor Documentation

◆ SimpleClusterCandidate()

SimpleClusterCandidate	(	VxdID	vxdID,
		bool	isUside,
		int	sizeHeadTail,
		double	cutSeed,
		double	cutAdjacent,
		double	cutSNR,
		int	timeAlgorithm,
		const std::string &	storeShaperDigitsName,
		const std::string &	storeRecoDigitsName
	)

You can specify the name of StoreArray<SVDShaperDigit> and StoreArray<SVDRecoDigit>

which are needed to get clustered samples.

Definition at line 54 of file SimpleClusterCandidate.cc.

       : m_vxdID(vxdID)
       , m_isUside(isUside)
       , m_sizeHeadTail(sizeHeadTail)
       , m_cutSeed(cutSeed)
       , m_cutAdjacent(cutAdjacent)
       , m_cutCluster(cutCluster)
       , m_timeAlgorithm(timeAlgorithm)
       , m_charge(0)
       , m_chargeError(0)
       , m_seedCharge(0)
       , m_6SampleTime(0)
       , m_6SampleTimeError(0)
       , m_position(0)
       , m_positionError(0)
       , m_SNR(0)
       , m_seedSNR(0)
       , m_seedIndex(-1)
       , m_strips(4)
       , m_storeShaperDigitsName(storeShaperDigitsName)
       , m_storeRecoDigitsName(storeRecoDigitsName)
     {m_strips.clear();};

Member Function Documentation

◆ add()

bool add	(	VxdID	vxdID,
		bool	isUside,
		struct stripInCluster &	aStrip
	)

Add a Strip to the current cluster.

Update the cluster seed seed.

Parameters

vxdID	sensorID
isUside	is u
aStrip	to add to the cluster

Returns: true if the strip is on the expected side and sensor and it's next to the last strip added to the cluster candidate

Definition at line 78 of file SimpleClusterCandidate.cc.

Member Data Documentation

◆ m_strips

std::vector<stripInCluster> m_strips

protected

first frame selected with the max-sum algorithm

vector containing the strips in the cluster

Definition at line 246 of file SimpleClusterCandidate.h.

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

svd/reconstruction/include/SimpleClusterCandidate.h
svd/reconstruction/src/SimpleClusterCandidate.cc

Public Member Functions