用专用智能体辅助伽马射线望远镜运行与数据分析
Domain-Specific Agents for Cherenkov Telescope Array Control Software and Gamma-Ray Data Analysis
- 针对天文观测场景定制大模型智能体
- 自动验证与迭代修正提升输出可靠性
- 适合高能物理与天文数据团队使用
我们提出面向切伦科夫望远镜阵列（Cherenkov Telescope Array）操作与伽马射线数据分析的领域自适应大语言模型智能体。这些智能体结合上下文知识与自动化验证机制，通过迭代修正生成更可靠的输出。该方法显著降低人工干预，提高工作流程的一致性，并加速科学分析与日常运维。实验表明，代理系统在专业科研环境中具备实用潜力。
原文摘要 · Abstract (English)
We present domain-adapted large language model agents designed to support Cherenkov Telescope Array operation and data analysis. The agents combine contextual knowledge with automated validation and iterative correction to produce more reliable outputs. This approach reduces manual effort, improves consistency, and helps accelerate operational and scientific workflows. The results demonstrate the potential of agentic systems as practical assistants in specialized research environments.
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