21–27 Sept 2026
EuXFEL Lighthouse
Europe/Berlin timezone

AI Agent System for Autonomous Data Analysis in Nuclear Resonant Scattering Experiments at Synchrotron Light Sources

22 Sept 2026, 18:15
1h 45m
EuXFEL Lighthouse

EuXFEL Lighthouse

Poster AI/ML applications Poster Session & Reception

Speaker

Gholamhossein Haghighat (Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China)

Description

We present the NRS Agent, a data analysis agent system for Nuclear Resonant Scattering (NRS) experiments conducted at synchrotron light sources. The NRS Agent is a multi-agent assistant designed for end-to-end Nuclear Resonant Scattering workflows aimed at reducing manual effort and accelerating complex analyses. The agent is designed specifically for data recorded by the High Energy Photon Source (HEPS), a high-energy synchrotron light source under construction in China, although it may also be applicable to other light sources. This agent is developed using the Dr.Sai framework, an AI-driven multi-agent system designed to automate end-to-end physics analysis workflows. The major NRS analysis domains covered by this project are the Coherent Nuclear Resonant Scattering and Nuclear Resonant Inelastic X-ray Scattering (NRIXS) experiments. To provide a comprehensive analytical framework, the NRS Agent integrates the standard analysis packages CONUSS and PHOENIX, which are used for coherent scattering modeling/fitting and extracting material phonon properties from NRIXS data, respectively. The agent automates the entire analysis workflow from inspection of raw measured data and data type conversion to create analysis-ready datasets to generation of structured configurations and execution of CONUSS and PHOENIX pipelines. Broad parameter control, reproducible workflow management, high-throughput parallel analyses across multiple datasets and physical configurations, and wise iterative fitting are among the features that contribute to the agent's utility for end users. This agent serves as a powerful assistant for scientists, significantly enhancing both the speed and accuracy of their analyses.

Author

Gholamhossein Haghighat (Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China)

Co-authors

Dr Yu Hu (Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China) Prof. Fazhi Qi (Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China)

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