DOE OSTI · 3000540
Annual Report on NCSP Technical Support task in BNL during FY25
Abstract
This work reports on the investigations done during FY 25 in collaboration with one 2025 Summer undergraduate intern through the DOE SULI program. These efforts were partially funded by the Nuclear Criticality Safety Program through the Technical Support Succession Plan task. This project, developed by Matthew Molnar, aimed to apply the BNL’s machine-learning code to correct spin mis-assignments in neutron resonances, the Bayesian Resonance Reclassifier (BRR), to the odd-even nucleus 143 Nd. For this, the handling of spingroup classification had to be further investigated and improved.
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Molnar, M. [Syracuse Univ., NY (United States)], Nobre, G.P.A. [Brookhaven National Laboratory (BNL), Upton, NY (United States)] (ORCID:000000017589705X), Brown, D. A. [Brookhaven National Laboratory (BNL), Upton, NY (United States)]. 2025-10-23. Annual Report on NCSP Technical Support task in BNL during FY25. https://doi.org/10.2172/3000540
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