ActsExamples::AmbiguityResolutionMLDBScanAlgorithm::Config Struct Reference

#include <acts/blob/sPHENIX/Examples/Algorithms/TrackFindingML/include/ActsExamples/TrackFindingML/AmbiguityResolutionMLDBScanAlgorithm.hpp>

Collaboration diagram for ActsExamples::AmbiguityResolutionMLDBScanAlgorithm::Config:

Public Attributes
std::string	inputTracks
	Input trajectories collection.
std::string	inputDuplicateNN
	Path to the ONNX model for the duplicate neural network.
std::string	outputTracks
	Output trajectories collection.
int	nMeasurementsMin = 7
	Minimum number of measurement to form a track.
float	epsilonDBScan = 0.07
	Maximum distance between 2 tracks to be clustered in the DBScan.
int	minPointsDBScan = 2
	Minimum number of tracks to create a cluster in the DBScan.

Detailed Description

Definition at line 30 of file AmbiguityResolutionMLDBScanAlgorithm.hpp.

View newest version in sPHENIX GitHub at line 30 of file AmbiguityResolutionMLDBScanAlgorithm.hpp

Member Data Documentation

float ActsExamples::AmbiguityResolutionMLDBScanAlgorithm::Config::epsilonDBScan = 0.07

Maximum distance between 2 tracks to be clustered in the DBScan.

Definition at line 40 of file AmbiguityResolutionMLDBScanAlgorithm.hpp.

View newest version in sPHENIX GitHub at line 40 of file AmbiguityResolutionMLDBScanAlgorithm.hpp

std::string ActsExamples::AmbiguityResolutionMLDBScanAlgorithm::Config::inputDuplicateNN

Path to the ONNX model for the duplicate neural network.

Definition at line 34 of file AmbiguityResolutionMLDBScanAlgorithm.hpp.

View newest version in sPHENIX GitHub at line 34 of file AmbiguityResolutionMLDBScanAlgorithm.hpp

std::string ActsExamples::AmbiguityResolutionMLDBScanAlgorithm::Config::inputTracks

Input trajectories collection.

Definition at line 32 of file AmbiguityResolutionMLDBScanAlgorithm.hpp.

View newest version in sPHENIX GitHub at line 32 of file AmbiguityResolutionMLDBScanAlgorithm.hpp

Referenced by ActsExamples::AmbiguityResolutionMLDBScanAlgorithm::AmbiguityResolutionMLDBScanAlgorithm().

int ActsExamples::AmbiguityResolutionMLDBScanAlgorithm::Config::minPointsDBScan = 2

Minimum number of tracks to create a cluster in the DBScan.

Definition at line 42 of file AmbiguityResolutionMLDBScanAlgorithm.hpp.

View newest version in sPHENIX GitHub at line 42 of file AmbiguityResolutionMLDBScanAlgorithm.hpp

int ActsExamples::AmbiguityResolutionMLDBScanAlgorithm::Config::nMeasurementsMin = 7

Minimum number of measurement to form a track.

Definition at line 38 of file AmbiguityResolutionMLDBScanAlgorithm.hpp.

View newest version in sPHENIX GitHub at line 38 of file AmbiguityResolutionMLDBScanAlgorithm.hpp

std::string ActsExamples::AmbiguityResolutionMLDBScanAlgorithm::Config::outputTracks

Output trajectories collection.

Definition at line 36 of file AmbiguityResolutionMLDBScanAlgorithm.hpp.

View newest version in sPHENIX GitHub at line 36 of file AmbiguityResolutionMLDBScanAlgorithm.hpp

Referenced by ActsExamples::AmbiguityResolutionMLDBScanAlgorithm::AmbiguityResolutionMLDBScanAlgorithm().

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

• acts/blob/sPHENIX/Examples/Algorithms/TrackFindingML/include/ActsExamples/TrackFindingML/AmbiguityResolutionMLDBScanAlgorithm.hpp