Systematic optimization of resonance parameters in a transport approach

Carl B. Rosenkvist; Hannah Elfner

Systematic optimization of resonance parameters in a transport approach

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arxiv 2503.05504 v1 pith:PZEKB4TK submitted 2025-03-07 hep-ph nucl-exnucl-th

Carl B. Rosenkvist , Hannah Elfner This is my paper

classification hep-phnucl-exnucl-th

keywords resonanceparameterstransportapproachmodelstrangenessacceleratedaccuracy

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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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SMASH: Results from hadronic transport for heavy-ion collisions at high densities
nucl-th 2025-08 unverdicted

A mini-review of the SMASH hadronic transport approach: setup, light-nucleus production, mean-field EoS constraints, electromagnetic probes, and hybrid hydrodynamics.

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