Year: 2024
Type: article
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.
Authors: A. P. Kryukov, A. P. Demichev, V. A. Ilyin
Language: English
Subfield: Nuclear and High Energy Physics
Field: Physics and Astronomy
Domain: Physical Sciences
Open Access status: green
Funder: Russian Science Foundation
OpenAlex ID: W4407091316