Machine Learning in Gamma Astronomy

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.

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Publication Details

Journal
Moscow University Physics Bulletin
Published
2024-12-01
DOI
https://doi.org/10.3103/s002713492470214x
Citations
2
Primary Topic
Astrophysics and Cosmic Phenomena
Type
article
Field-Weighted Citation Impact
1.32

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article

Machine Learning in Gamma Astronomy

A. P. Kryukov, V.A. Ilyin, Andrey Demichev
2 citations
Moscow University Physics Bulletin
Astrophysics and Cosmic Phenomena
1.32
article

Machine Learning in Gamma Astronomy

A. P. Kryukov, V.A. Ilyin, Andrey Demichev
article en
2 citations

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.

Moscow University Physics BulletinVol. 79(S2)
Lomonosov Moscow State University (RU), Kurchatov Institute (RU)
Russian Science Foundation
Openalex Percentile: Top 10%
Astrophysics and Cosmic Phenomena
1.32
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