6 citations · 10 across the 8 of their papers we have counts for
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physics.ins-det2024
Real-Time Charged Track Reconstruction for CLAS12
Gagik Gavalian
This paper presents the results of charged particle track reconstruction in CLAS12 using artificial intelligence. In our approach, we use machine learning algorithms to reconstruct…
physics.ins-det2023★ 6 cited
Deep Learning Level-3 Electron Trigger for CLAS12
Richard Tyson, Gagik Gavalian, David Ireland +1
Fast, efficient and accurate triggers are a critical requirement for modern high-energy physics experiments given the increasingly large quantities of data that they produce. The C…
physics.ins-det2022
Convolutional Auto-Encoders for Drift Chamber data de-noising for CLAS12
Gagik Gavalian, Polykarpos Thomadakis, Angelos Angelopoulos +1
In this article, we present the results of using Convolutional Auto-Encoders for de-noising raw data for CLAS12 drift chambers. The de-noising neural network provides increased eff…