lar_dl_content::DlClusterCharacterisationAlgorithm Class Reference

DlClusterCharacterisationBaseAlgorithm class. More...

#include <DlClusterCharacterisationAlgorithm.h>

Inheritance diagram for lar_dl_content::DlClusterCharacterisationAlgorithm:

Public Member Functions
	DlClusterCharacterisationAlgorithm ()
	Default constructor. More...
	~DlClusterCharacterisationAlgorithm ()
	Destructor. More...
Public Member Functions inherited from lar_content::ClusterCharacterisationBaseAlgorithm
	ClusterCharacterisationBaseAlgorithm ()
	Default constructor. More...
	~ClusterCharacterisationBaseAlgorithm ()
	Destructor. More...

Protected Member Functions
bool	IsClearTrack (const pandora::Cluster *const pCluster) const
	Whether cluster is identified as a clear track. More...
pandora::StatusCode	ReadSettings (const pandora::TiXmlHandle xmlHandle)
Protected Member Functions inherited from lar_content::ClusterCharacterisationBaseAlgorithm
pandora::StatusCode	Run ()
pandora::StatusCode	ReadSettings (const pandora::TiXmlHandle xmlHandle)

Additional Inherited Members
Protected Attributes inherited from lar_content::ClusterCharacterisationBaseAlgorithm
pandora::StringVector	m_inputClusterListNames
	The names of the input cluster lists. More...
bool	m_zeroMode
	Whether to zero all existing cluster particle id, overrides all other parameters. More...
bool	m_overwriteExistingId
	Whether to consider any clusters that already have an assigned particle id. More...
bool	m_useUnavailableClusters
	Whether to consider clusters that are already constituents of a pfo. More...

Detailed Description

DlClusterCharacterisationBaseAlgorithm class.

Definition at line 21 of file DlClusterCharacterisationAlgorithm.h.

Constructor & Destructor Documentation

lar_dl_content::DlClusterCharacterisationAlgorithm::DlClusterCharacterisationAlgorithm

(

)

Default constructor.

Definition at line 23 of file DlClusterCharacterisationAlgorithm.cc.

{
}

lar_dl_content::DlClusterCharacterisationAlgorithm::~DlClusterCharacterisationAlgorithm

(

)

Destructor.

Definition at line 29 of file DlClusterCharacterisationAlgorithm.cc.

{
}

Member Function Documentation

bool lar_dl_content::DlClusterCharacterisationAlgorithm::IsClearTrack ( const pandora::Cluster *const  pCluster ) const

protectedvirtual

Whether cluster is identified as a clear track.

Parameters

pCluster

address of the relevant cluster

Returns

boolean

Implements lar_content::ClusterCharacterisationBaseAlgorithm.

Definition at line 35 of file DlClusterCharacterisationAlgorithm.cc.

{
    const OrderedCaloHitList &orderedCaloHitList{pCluster->GetOrderedCaloHitList()};
    CaloHitList caloHits;
    orderedCaloHitList.FillCaloHitList(caloHits);
    const CaloHitList &isolatedHits{pCluster->GetIsolatedCaloHitList()};
    caloHits.insert(caloHits.end(), isolatedHits.begin(), isolatedHits.end());
    FloatVector trackLikelihoods;
    try
    {
        for (const CaloHit *pCaloHit : caloHits)
        {
            const LArCaloHit *pLArCaloHit{dynamic_cast<const LArCaloHit *>(pCaloHit)};
            const float pTrack{pLArCaloHit->GetTrackProbability()};
            const float pShower{pLArCaloHit->GetShowerProbability()};
            if ((pTrack + pShower) > std::numeric_limits<float>::epsilon())
                trackLikelihoods.emplace_back(pTrack / (pTrack + pShower));
        }

        const unsigned long N{trackLikelihoods.size()};
        if (N > 0)
        {
            float mean{std::accumulate(std::begin(trackLikelihoods), std::end(trackLikelihoods), 0.f) / N};
            if (mean >= 0.5f)
                return true;
            else
                return false;
        }
    }
    catch (const StatusCodeException &)
    {
    }

    return true;
}

StatusCode lar_dl_content::DlClusterCharacterisationAlgorithm::ReadSettings ( const pandora::TiXmlHandle  xmlHandle )

protected

Definition at line 73 of file DlClusterCharacterisationAlgorithm.cc.

{
    return ClusterCharacterisationBaseAlgorithm::ReadSettings(xmlHandle);
}

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

• DlClusterCharacterisationAlgorithm.h
• DlClusterCharacterisationAlgorithm.cc