AI Agents for Ground-Based Gamma Astronomy

Understand

Next-generation instruments for ground-based gamma-ray astronomy are marked by a substantial increase in complexity, featuring dozens of telescopes.

• This leap in scale introduces significant challenges in managing system operations and offline data analysis.
• Methods, which depend on advanced personnel training and sophisticated software, become increasingly strained as system complexity grows, making it more challenging to effectively support users in such a multifaceted environment.
• To address these challenges, we propose the development of AI agents based on instruction-finetuned large language models (LLMs).