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Domain-Specific Agents for Cherenkov Telescope Array Control Software and Gamma-Ray Data Analysis

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arxiv 2510.01299 v3 pith:RVPRFKUX submitted 2025-10-01 astro-ph.IM cs.AI

Domain-Specific Agents for Cherenkov Telescope Array Control Software and Gamma-Ray Data Analysis

classification astro-ph.IM cs.AI
keywords agentsanalysisarraycherenkovdatatelescopeaccelerateagentic
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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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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    An LLM-based multi-agent system (FORMA) verifies DESI spectral classifications with 95.5% agreement to expert adjudication by reconstructing expert reasoning into an auditable workflow.