| Issue |
EPJ Web Conf.
Volume 364, 2026
XXXI International Conference on Ultra-Relativistic Nucleus-Nucleus Collisions “Quark Matter 2025”
|
|
|---|---|---|
| Article Number | 14001 | |
| Number of page(s) | 4 | |
| Section | QCD Matter in Astrophysics | |
| DOI | https://doi.org/10.1051/epjconf/202636414001 | |
| Published online | 17 April 2026 | |
https://doi.org/10.1051/epjconf/202636414001
Listening to the long ringdown
A novel way to pinpoint the EOS in neutron-star cores
1 Institut für Theoretische Physik, Goethe Universität, Max-von-Laue-Str. 1, 60438, Germany
2 Department of Physics, The Ohio State University, Columbus, OH 43210, USA
3 Faculty of Science and Technology, University of Stavanger, Stavanger, 4036, Stavanger, Norway
* e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
Published online: 17 April 2026
Abstract
Gravitational waves (GWs) from binary neutron star (BNS) merger remnants complement constraints from the inspiral phase, mass-radius measurements, and microscopic theory by providing information about the neutron-star equation of state (EOS) at extreme densities. We perform general-relativistic simulations of BNS mergers using EOS models that span the uncertain high-density regime. We find a robust correlation between the ratio of energy and angular momentum lost during the late-time post-merger GW signal—the long ringdown—and the EOS at the highest densities in neutron star cores. Applying this correlation to post-merger GW signals reduces EOS uncertainty at several times saturation density, where no direct constraints currently exist.
© The Authors, published by EDP Sciences, 2026
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.

