Deep learning methods for gamma event selection in TAIGA-IACT image analysis in stereo-mode
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 showers (EAS) generated by cosmic and gamma radiation are recorded by a single telescope or by multiple telescopes simultaneously (stereo-mode). The analysis of EAS images from two or more Cherenkov telescopes together is of particular interest, since for this approach the reconstruction of physical parameters of the primary gamma ray is much more accurate than in mono-observations. However, the gamma-ray event reconstruction strongly depends on the quality of the hadron background suppression of the classifier, ther...
| Authors | E. O. Gres, A. P. Kryukov, P. A. Volchigov et al. |
|---|---|
| Primary category | astro-ph.IM |
| Published | 12 October 2026 |
| Last updated at source | 12 October 2026 |
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