Speaker
Description
We present NRS_Agent, a multi-agent data analysis system for Nuclear Resonant Scattering (NRS) experiments, developed on the Dr. Sai framework. The system is designed to accelerate and standardize end-to-end analysis workflows for both coherent nuclear resonant scattering and nuclear resonant inelastic X-ray scattering, reducing manual effort and operator-dependent variability. Its primary application is rapid preparation and execution of reliable analysis runs, including automated generation and validation of required parameter sets. A key advantage is high-throughput, parallel preparation of multiple analysis configurations, enabling users to explore alternative physical models and fitting assumptions efficiently. The platform provides broad parameter control improving reproducibility and facilitating consistent comparisons across samples or measurement conditions. It also supports robust conversion of detector data to analysis-ready formats, enabling faster turnaround from raw measurements to interpretable results. Integrated file inspection and quality checks promote early detection of formatting and metadata issues, minimizing failed runs and wasted beamtime. Automated visualization of analysis outputs enhances transparent reporting and iterative refinement during analysis. Overall, NRS_Agent targets time savings, scalability, and reproducible decision-making for experimentalists working with NRS datasets. The project is approaching initial user acceptance testing, and we discuss current capabilities and near-term deployment in experimental workflows.
