3–7 juin 2024
Université de Strasbourg / Palais de la Musique et des Congrès
Fuseau horaire Europe/Paris

Genetic Algorithm-Based Optimization of Strangeness Production

4 juin 2024, 19:48
1m
Hall Schweitzer, ground floor (PMC)

Hall Schweitzer, ground floor

PMC

Poster Light-flavours and Strangeness Posters

Orateur

Carl Rosenkvist (Frankfurt Institute for Advanced Studies)

Description

In heavy-ion collisions, strange particles are not present before the collision, as they are absent in normal matter. Consequently, strange particles must be produced during or shortly after the collision. Therefore, the production of strange quarks serves as an important probe for the underlying physics of heavy-ion collisions.

In this project, we will investigate strangeness production with the SMASH (Simulating Many Accelerated Strongly-interacting Hadrons) model. At lower collision energies, SMASH incorporates short-lived particles, termed resonances, to describe the production of strange quarks through resonance decay.
The properties of resonance particles are constrained by experimental measurements with unfortunately large uncertainties. Consequently, simulating low-energy observables with SMASH, which are sensitive to strangeness production, inherits these uncertainties.

To address this challenge, we implement a genetic algorithm to simultaneously fit numerous resonance parameters to experimental data, which comprise exclusive elementary cross-sections.

With the best set of resonance parameters, we will investigate pion-nucleus collisions as the second most complicated system before moving on to heavy ions.

Auteurs principaux

Carl Rosenkvist (Frankfurt Institute for Advanced Studies) Hannah Elfner (GSI/GU Frankfurt)

Documents de présentation

Aucun document.