FRIGA, A New Approach To Identify Isotopes and Hypernuclei In N-Body Transport Models

TL;DR

FRIGA is a novel algorithm utilizing simulated annealing to identify isotopes and hypernuclei in n-body transport simulations, improving predictions of fragment yields in relativistic heavy ion collisions.

Contribution

It introduces a new simulated annealing-based method for fragment identification in transport models, enhancing isotope and hypernuclei prediction accuracy.

Findings

Accurately predicts isotope yields and hyper-nucleus production.

Demonstrates sensitivity of cluster formation parameters.

Confronts predictions with experimental data.

Abstract

We present a new algorithm to identify fragments in computer simulations of relativistic heavy ion collisions. It is based on the simulated annealing technique and can be applied to n-body transport models like the Quantum Molecular Dynamics. This new approach is able to predict isotope yields as well as hyper-nucleus production. In order to illustrate its predicting power, we confront this new method to experimental data, and show the sensitivity on the parameters which govern the cluster formation.