We have recently begun developing a new phenomenological R-matrix code with the aims of exploring (a) how to optimize the evaluator’s use of the code, and (b) how to integrate machine learning approaches to assist with R-matrix analysis.
We use the Wigner-Eisbund parameterization of the R-matrix [1], with a user-adjustable boundary condition [2]. The data included in the calculation can be...
The global fitting for n+9Be system using RAC have been reported in 2022. In recent years, the improved Global fitting of the Reduced R-Matrix theory for n+9Be system has been carried out using the RAC. More detailed fitting for the cross section of the 9Be(n, tot) has been conducted. New measurement data of the differential cross sections for the 9Be(n, el) from China have been added into the...
AZURE2 has undergone significant enhancements to improve its analytical capabilities and uncertainty quantification. This presentation will describe recent upgrades implemented in the code and demonstrate their application to updated analyses of the 7Be compound system.
Key developments include the implementation of energy shift parameters for systematic treatment of data uncertainties,...
