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arXiv · 2503.05504

Systematic optimization of resonance parameters in a transport approach

Carl B. Rosenkvist·Hannah Elfner
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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, especially 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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Carl B. Rosenkvist, Hannah Elfner. 2025-03-07. Systematic optimization of resonance parameters in a transport approach. https://arxiv.org/abs/2503.05504

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