%0 Journal Article
%A Rosenkvist, Carl B.
%A Elfner, Hannah
%T Systematic optimization of resonance parameters in a transport approach
%J Physical review / C
%V 112
%N 1
%@ 2469-9985
%C Woodbury, NY
%I Inst.
%M GSI-2026-00157
%M 2503.05504
%P 014911
%D 2025
%Z "Published by the American Physical Society under the terms of the Creative Commons Attribution 4.0 International license. Further distribution of this work must maintain attribution to the author(s) and the published article’s title, journal citation, and DOI. Funded by SCOAP 3 ."
%X This study optimizes resonance parameters responsible for strangeness production in the SMASH (Simulating Many Accelerated Strongly-interacting Hadrons) transport model using a genetic algorithm. By fitting resonance parameters to experimental data on exclusive strangeness cross sections at low energies, we significantly improve the model's accuracy, notably in pion-proton interactions. Our approach explores how machine-learning tools can be used for precise resonance tuning in transport approaches.
%F PUB:(DE-HGF)16
%9 Journal Article
%U <Go to ISI:>//WOS:001542164000001
%R 10.1103/6nmy-s74w
%U https://repository.gsi.de/record/363954