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Systematic optimization of resonance parameters in a transport approach
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Systematic optimization of resonance parameters in a transport approach
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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.
Forward citations
Cited by 1 Pith paper
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SMASH: Results from hadronic transport for heavy-ion collisions at high densities
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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