Symmetry energy impact in simulations of core-collapse supernovae
Tobias Fischer, Matthias Hempel, Irina Sagert, Yudai Suwa, and, J\"urgen Schaffner-Bielich

TL;DR
This paper reviews various nuclear matter equations of state (EOSs) used in core-collapse supernova simulations, highlighting how differences in symmetry energy influence supernova dynamics and exploring the impact of new and classical EOS models.
Contribution
It introduces the first application of the DD2 relativistic mean field EOS in supernova simulations and compares its effects with classical EOS models, emphasizing the role of symmetry energy.
Findings
Classical supernova EOSs poorly describe neutron matter.
Symmetry energy significantly affects electron fraction during collapse.
DD2 EOS provides a more realistic model, influencing supernova outcomes.
Abstract
We present a review of a broad selection of nuclear matter equations of state (EOSs) applicable in core-collapse supernova studies. The large variety of nuclear matter properties, such as the symmetry energy, which are covered by these EOSs leads to distinct outcomes in supernova simulations. Many of the currently used EOS models can be ruled out by nuclear experiments, nuclear many-body calculations, and observations of neutron stars. In particular the two classical supernova EOS describe neutron matter poorly. Nevertheless, we explore their impact in supernova simulations since they are commonly used in astrophysics. They serve as extremely soft and stiff representative nuclear models. The corresponding supernova simulations represent two extreme cases, e.g., with respect to the protoneutron star (PNS) compactness and shock evolution. Moreover, in multi-dimensional supernova…
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