Journal Article

GSI-2026-00157

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Systematic optimization of resonance parameters in a transport approach

Rosenkvist, C. B. (Corresponding author)GSI* ; Elfner, H.GSI*

2025
Inst. Woodbury, NY

Please use a persistent id in citations: doi:10.1103/6nmy-s74w  doi:10.15120/GSI-2026-00157

Report No.: 2503.05504

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.

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 ."

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Contributing Institute(s):

1. Heiße & Dichte QCD Materie (TES)

Research Program(s):

1. 612 - Cosmic Matter in the Laboratory (POF4-612) (POF4-612)
2. FIAS - Frankfurt Institute for Advanced Studies (FIAS) (FIAS)
3. SUC-GSI-Frankfurt - Strategic university cooperation GSI-U Frankfurt/M (SUC-GSI-FR) (SUC-GSI-FR)

Experiment(s):

1. no experiment theory work (theory)

Appears in the scientific report 2025

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Database coverage:
; ; ; Clarivate Analytics Master Journal List ; Current Contents - Electronics and Telecommunications Collection ; Current Contents - Physical, Chemical and Earth Sciences ; Ebsco Academic Search ; Essential Science Indicators ; IF < 5 ; JCR ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection

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