Selection of gamma events from IACT images with deep learning methods

Imaging Atmospheric Cherenkov Telescopes (IACTs) of gamma ray observatory TAIGA detect the Extesnive Air Showers (EASs) originating from the cosmic or gamma rays interactions with the atmosphere. Thereby, telescopes obtain images of the EASs. The ability to segregate gamma rays images from the hadro...

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Veröffentlicht in:	arXiv.org 2024-01
Hauptverfasser:	Gres, E O, Kryukov, A P, Demichev, A P, Dubenskaya, J J, Polyakov, S P, Vlaskina, A A, Zhurov, D P
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Learning Cosmic ray showers Cosmic rays Gamma Ray Observatory Gamma ray telescopes Gamma rays Image classification Image quality Machine learning Neural networks Physics - High Energy Astrophysical Phenomena Physics - Instrumentation and Methods for Astrophysics Telescopes
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