Selection of Gamma Events from IACT Images Using Deep Learning Methods

Imaging atmospheric cherenkov telescopes (IACTs) of the 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 h...

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Veröffentlicht in:	Moscow University physics bulletin 2023-12, Vol.78 (Suppl 1), p.S45-S51
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:	Cosmic ray showers Cosmic rays Gamma Ray Observatory Gamma ray telescopes Gamma rays Image classification Image quality Machine learning Machine Learning in Fundamental Physics Mathematical and Computational Physics Neural networks Physics Physics and Astronomy Telescopes Theoretical
Online-Zugang:	Volltext
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