Machine Learning in Gamma Astronomy
Fuente:
arXiv
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| Autori principali: | , , |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| Soggetti: | |
| Accesso online: | |
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| _version_ | 1866912292177707008 |
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| author | Kryukov, A. P. Demichev, A. P. Ilyin, V. A. |
| author_facet | Kryukov, A. P. Demichev, A. P. Ilyin, V. A. |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2501_19064 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Machine Learning in Gamma Astronomy Kryukov, A. P. Demichev, A. P. Ilyin, V. A. Instrumentation and Methods for Astrophysics High Energy Astrophysical Phenomena Machine Learning 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. |
| title | Machine Learning in Gamma Astronomy |
| topic | Instrumentation and Methods for Astrophysics High Energy Astrophysical Phenomena Machine Learning |
| url | https://arxiv.org/abs/2501.19064 |