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Deep learning methods for gamma event selection in TAIGA-IACT image analysis in stereo-mode
E. O. Gres, A. P. Kryukov, P. A. Volchigov +6
In astrophysical complex TAIGA there are four Imaging Atmospheric Cherenkov telescopes (IACTs), located at a distance of 300-500 m from each other, due to which extensive air showe…
Analysis of the TAIGA-HiSCORE Data Using the Latent Space of Autoencoders
Yu. Yu. Dubenskaya, S. P. Polyakov, A. P. Kryukov +6
The aim of extensive air shower (EAS) analysis is to reconstruct the physical parameters of the primary particle that initiated the shower. The TAIGA experiment is a hybrid detecto…
Machine Learning in Gamma Astronomy
A. P. Kryukov, A. P. Demichev, V. A. Ilyin
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…