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Published July 10, 2022 | Published
Journal Article Open

Characterizing the Breakdown of Quasi-universality in Postmerger Gravitational Waves from Binary Neutron Star Mergers

Abstract

The postmerger gravitational wave (GW) emission from a binary neutron star merger is expected to provide exciting new constraints on the dense-matter equation of state (EoS). Such constraints rely, by and large, on the existence of quasi-universal relations, which relate the peak frequencies of the postmerger GW spectrum to properties of the neutron star structure in a model-independent way. In this work, we report on violations of existing quasi-universal relations between the peak spectral frequency, f₂₂, and the stellar radius, for EoS models with backwards-bending slopes in their mass–radius relations (such that the radius increases at high masses). The violations are extreme, with variations in f₂ of up to ∼600 Hz between EoSs that predict the same radius for a 1.4 M_⊙ neutron star but that have significantly different radii at higher masses. Quasi-universality can be restored by adding in a second parameter to the fitting formulae that depends on the slope of the mass–radius curve. We further find strong evidence that quasi-universality is better maintained for the radii of very massive stars (with masses 2 M_⊙). Both statements imply that f₂ is mainly sensitive to the high-density EoS. Combined with observations of the binary neutron star inspiral, these generalized quasi-universal relations can be used to simultaneously infer the characteristic radius and slope of the neutron star mass–radius relation.

Additional Information

© 2022. The Author(s). Published by the American Astronomical Society. Original content from this work may be used under the terms of the Creative Commons Attribution 4.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI. E.R.M. thanks J. Noronha-Hostler and N. Yunes for insightful discussions related to this work. C.A.R. and E.R.M. gratefully acknowledge support from postdoctoral fellowships at the Princeton Center for Theoretical Science, the Princeton Gravity Initiative and the Institute for Advanced Study. C.A.R. is additionally supported as a John N. Bahcall Fellow at the Institute for Advanced Study. Part of the simulations presented in this article was performed on computational resources managed and supported by Princeton Research Computing, a consortium of groups including the Princeton Institute for Computational Science and Engineering (PICSciE) and the Office of Information Technology's High Performance Computing Center and Visualization Laboratory at Princeton University. This work also used the Extreme Science and Engineering Discovery Environment (XSEDE) Expanse at SDSC and Bridges-2 at PSC through allocations PHY210053 and PHY210074. XSEDE is supported by National Science Foundation grant No. ACI-1548562. The authors acknowledge the Texas Advanced Computing Center (TACC) at The University of Texas at Austin for providing HPC resources that have contributed to the research results reported within this paper, under LRAC grants AT21006. Software: Einstein Toolkit (Loffler et al. 2012), Carpet (Schnetter et al. 2004), Frankfurt-/IllinoisGRMHD (FIL) (Etienne et al. 2015; Most et al. 2019), LORENE (https://lorene.obspm.fr), Matplotlib (Hunter 2007), seaborn (Waskom 2021).

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Created:
August 22, 2023
Modified:
October 20, 2023