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  • Open Access

Systematic optimization of resonance parameters in a transport approach

Carl B. Rosenkvist1,2,3 and Hannah Elfner3,1,2,4

  • 1Frankfurt Institute for Advanced Studies, Ruth-Moufang-Strasse 1, 60438 Frankfurt am Main, Germany
  • 2Institute for Theoretical Physics, Goethe University, Max-von-Laue-Strasse 1, 60438 Frankfurt am Main, Germany
  • 3GSI Helmholtzzentrum für Schwerionenforschung, Planckstr. 1, 64291 Darmstadt, Germany
  • 4Helmholtz Research Academy Hesse for FAIR (HFHF), GSI Helmholtz Center, Campus Frankfurt, Max-von-Laue-Straße 12, 60438 Frankfurt am Main, Germany

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Phys. Rev. C 112, 014911 – Published 31 July, 2025

DOI: https://doi.org/10.1103/6nmy-s74w

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.

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Phys. Rev. C 112, 014911– Published 31 July, 2025
  • Received 2 April 2025
  • Accepted 10 June 2025
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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 SCOAP3.

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