Jas4pp — A data-analysis framework for physics and detector studies

Gavalian, G.; Graf, Norman

doi:10.1016/j.cpc.2021.107857

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2022

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“…The analysis and data visualization for this article was done using GROOT data visualization package [13] developed for CLAS12 software infrastructure (in Java) and is included in the Java data analysis library for high energy physics Jas4pp [14].…”

Section: Software Packagesmentioning

confidence: 99%

CLAS12 Track Reconstruction with Artificial Intelligence

Gavalian¹,

Thomadakis²,

Angelopoulos³

et al. 2022

Preprint

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In this article we describe the implementation of Artificial Intelligence models in track reconstruction software for the CLAS12 detector at Jefferson Lab. The Artificial Intelligence based approach resulted in improved track reconstruction efficiency in high luminosity experimental conditions. The track reconstruction efficiency increased by 10 − 12% for single particle, and statistics in multi-particle physics reactions increased by 15% − 35% depending on the number of particles in the reaction. The implementation of artificial intelligence in the workflow also resulted in a speedup of the tracking by 35%.

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Section: Software Packagesmentioning

confidence: 99%