Constraining the nuclear symmetry energy with Fermi-energy heavy ion collisions

Heavy ion reactions provide a unique opportunity to unveil the Equation of State (EoS) of baryonic matter in a large density domain. However, to get quantitative constraints it is crucial to employ observables that are as insensitive as possible to final state interaction, and at the same time robustly predicted by transport models with limited model dependence. In this work, we compare for the first time BUU transport calculations to the impact parameter dependence of the isospin transport ratio deduced from INDRA-FAZIA data [1], with a model independent evaluation of the impact parameter. Using different state-of-the-art nuclear functionals, provided both by fits of ab initio calculations and by phenomenological approaches, a confidence region for the symmetry energy is extracted. A consistent study of the time dependence of the baryonic density and of the isospin current density allows a precise determination of the density region significantly probed by the experiment, with the definition of confidence regions in the symmetry energy vs density plane. A symmetry energy S=(29.0±0.7) MeV is obtained for the most significant density ρ/ρ0=1.01. The obtained symmetry energy constraint can be used to inform Bayesian inference of the neutron star EoS.

Authors

Publication Details

Journal
Physics Letters B
Published
2025-08-10
DOI
https://doi.org/10.1016/j.physletb.2025.139815
Primary Topic
Nuclear physics research studies
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Constraining the nuclear symmetry energy with Fermi-energy heavy ion collisions

F. Gramegna, B. Borderie, J. A. Dueñas, G. Verde et al.
Physics Letters B
Nuclear physics research studies
article

Constraining the nuclear symmetry energy with Fermi-energy heavy ion collisions

F. Gramegna, B. Borderie, J. A. Dueñas, G. Verde, R. Bougault, Q. Fable, D. Gruyer, I. Lombardo, N. Le Neindre, A. Camaiani, E. Vient, S. Piantelli, G. Pasquali, M. Henri, S. Barlini, J. D. Frankland, S. Mallik, G. Casini, A. Chbihi, M. Pârlog, C. Ciampi, T. Marchi, F. Gulminelli, S. Kim, J. Park, O. Lopez, L. Baldesi, B. Hong, G. Poggi, T. Kozik, A. Kordyasz, Sang Hoon Nam, S. Valdré, I. Dekhissi
article en

Abstract

Heavy ion reactions provide a unique opportunity to unveil the Equation of State (EoS) of baryonic matter in a large density domain. However, to get quantitative constraints it is crucial to employ observables that are as insensitive as possible to final state interaction, and at the same time robustly predicted by transport models with limited model dependence. In this work, we compare for the first time BUU transport calculations to the impact parameter dependence of the isospin transport ratio deduced from INDRA-FAZIA data [1], with a model independent evaluation of the impact parameter. Using different state-of-the-art nuclear functionals, provided both by fits of ab initio calculations and by phenomenological approaches, a confidence region for the symmetry energy is extracted. A consistent study of the time dependence of the baryonic density and of the isospin current density allows a precise determination of the density region significantly probed by the experiment, with the definition of confidence regions in the symmetry energy vs density plane. A symmetry energy S=(29.0±0.7) MeV is obtained for the most significant density ρ/ρ0=1.01. The obtained symmetry energy constraint can be used to inform Bayesian inference of the neutron star EoS.

Physics Letters BVol. 868
National Research Foundation of Korea, Région Normandie
Affordable and clean energy
Openalex Percentile: Top 91%
Nuclear physics research studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.