IMHELGJan 31, 2025

Machine Learning in Gamma Astronomy

arXiv:2501.19064v11 citationsh-index: 2Mosc Univ Phys Bull
Originality Synthesis-oriented
AI Analysis

It serves as a reference for researchers in gamma astronomy, but is incremental as it compiles prior work.

This paper reviews popular deep learning methods for analyzing astroparticle data from Imaging Atmospheric Cherenkov Telescopes, summarizing existing techniques without presenting new results.

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 references to the original papers.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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