Speaker
Stanislav Polyakov
(Lomonosov Moscow State University, Skobeltsyn Institute of NUclear Physics (RU))
Description
We use convolutional neural networks (CNNs) to analyze monoscopic and stereoscopic images of extensive air showers registered by Cherenkov telescopes of the TAIGA experiment. The networks are trained and evaluated on Monte-Carlo simulated images to identify the type of the primary particle and to estimate the energy of the gamma rays. We compare the performance of the networks trained on monoscopic and stereoscopic images.
References
37th International Cosmic Ray Conference (ICRC 2021) https://pos.sissa.it/395/753/pdf
| Speaker time zone | Compatible with Europe |
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Primary authors
Alexander Kryukov
(Lomonosov Moscow State University, Skobeltsyn Institute of NUclear Physics (RU))
Stanislav Polyakov
(Lomonosov Moscow State University, Skobeltsyn Institute of NUclear Physics (RU))
Andrey Demichev
(Skobeltsyn Institute of Nuclear Physics, Lomonosov Moscow State University)
