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Using conditional variational autoencoders to generate images from atmospheric Cherenkov telescopes. (arXiv:2211.12553v1 [astro-ph.IM])
Nov. 24, 2022, 7:11 a.m. | Stanislav Polyakov (1), Alexander Kryukov (1), Andrey Demichev (1), Julia Dubenskaya (1), Elizaveta Gres (2), Anna Vlaskina (3) ((1) Skobeltsyn Instit
cs.LG updates on arXiv.org arxiv.org
High-energy particles hitting the upper atmosphere of the Earth produce
extensive air showers that can be detected from the ground level using imaging
atmospheric Cherenkov telescopes. The images recorded by Cherenkov telescopes
can be analyzed to separate gamma-ray events from the background hadron events.
Many of the methods of analysis require simulation of massive amounts of events
and the corresponding images by the Monte Carlo method. However, Monte Carlo
simulation is computationally expensive. The data simulated by the Monte Carlo …
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