The purpose of this paper is to review the most popular deep learning methods used to analyze astroparticle data obtained with Imaging Atmospheric Cherenkov Telescopes and provide references to the original papers.
@article{arxiv.2501.19064,
title = {Machine Learning in Gamma Astronomy},
author = {A. P. Kryukov and A. P. Demichev and V. A. Ilyin},
journal= {arXiv preprint arXiv:2501.19064},
year = {2025}
}
Comments
20 pages, 5 figures, Proceedings of The 8th International Conference on Deep Learning in Computational Physics, June 19-21, 2024, Moscow, Russia