6 citations · 10 across the 8 of their papers we have counts for
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cs.CV2020★ 1 cited
Auto-encoders for Track Reconstruction in Drift Chambers for CLAS12
Gagik Gavalian
In this article we describe the development of machine learning models to assist the CLAS12 tracking algorithm by identifying tracks through inferring missing segments in the drift…
cs.CV2020★ 1 cited
Using Machine Learning for Particle Track Identification in the CLAS12 Detector
Polykarpos Thomadakis, Angelos Angelopoulos, Gagik Gavalian +1
Particle track reconstruction is the most computationally intensive process in nuclear physics experiments. Traditional algorithms use a combinatorial approach that exhaustively te…