Machine Learning in Gamma Astronomy
arXiv:2501.19064 · doi:10.3103/S002713492470214X
Abstract
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.
20 pages, 5 figures, Proceedings of The 8th International Conference on Deep Learning in Computational Physics, June 19-21, 2024, Moscow, Russia
References in corpus (24)
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