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@ARTICLE{Rosenkvist:363954,
      author       = {Rosenkvist, Carl B. and Elfner, Hannah},
      title        = {{S}ystematic optimization of resonance parameters in a
                      transport approach},
      journal      = {Physical review / C},
      volume       = {112},
      number       = {1},
      issn         = {2469-9985},
      address      = {Woodbury, NY},
      publisher    = {Inst.},
      reportid     = {GSI-2026-00157, 2503.05504},
      pages        = {014911},
      year         = {2025},
      note         = {"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 ."},
      abstract     = {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.},
      cin          = {TES},
      ddc          = {530},
      cid          = {I:(DE-Ds200)TES-20160901OR397},
      pnm          = {612 - Cosmic Matter in the Laboratory (POF4-612) / FIAS -
                      Frankfurt Institute for Advanced Studies (FIAS) /
                      SUC-GSI-Frankfurt - Strategic university cooperation GSI-U
                      Frankfurt/M (SUC-GSI-FR)},
      pid          = {G:(DE-HGF)POF4-612 / G:(DE-Ds200)FIAS /
                      G:(DE-Ds200)SUC-GSI-FR},
      experiment   = {$EXP:(DE-Ds200)no_experiment-20200803$},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:001542164000001},
      doi          = {10.1103/6nmy-s74w},
      url          = {https://repository.gsi.de/record/363954},
}