English

Physics-Informed Priors Improve Gravitational-Wave Constraints on Neutron-Star Matter

High Energy Astrophysical Phenomena 2025-05-01 v1 General Relativity and Quantum Cosmology Nuclear Theory

Abstract

Gravitational-wave astronomy shows great promise in determining nuclear physics in a regime not accessible to terrestrial experiments. We introduce physics-informed priors constrained by nuclear theory and perturbative Quantum Chromodynamics calculations, as well as astrophysical measurements of neutron-star masses and radii. When these priors are used in gravitational-wave astrophysical inference, we show a significant improvement on nuclear equation of state constraints. Applying these to the first observed gravitational-wave binary neutron-star merger GW170817, the constraints on the radius of a 1.4M1.4\,M_\odot neutron star improve from R1.4=12.541.54+1.05kmR_{1.4} ={12.54^{+1.05}_{-1.54}} \, {\rm km} to R1.4=12.111.11+0.91kmR_{1.4} = 12.11^{+0.91}_{-1.11} \,{\rm km} and those on the tidal deformability from Λ~1.186<720\tilde{\Lambda}_{1.186} < 720 to Λ~1.186=384158+306\tilde{\Lambda}_{1.186} = 384^{+306}_{-158} (90%90\% confidence intervals) at the events measured chirp mass M=1.186M\mathcal{M}=1.186\,M_\odot. We also show these priors can be used to perform model selection between binary neutron star and neutron star-black hole mergers; in the case of GW190425, the results provide only marginal evidence with a Bayes factor BF=1.33\mathcal{BF}=1.33 in favour of the binary neutron star merger hypothesis. Given their ability to improve the astrophysical inference of binary mergers involving neutron stars, we advocate for these physics-informed priors to be used as standard in the literature and provide open-source code for reproducibility and adaptation of the method.

Keywords

Cite

@article{arxiv.2504.21526,
  title  = {Physics-Informed Priors Improve Gravitational-Wave Constraints on Neutron-Star Matter},
  author = {Spencer J. Magnall and Christian Ecker and Luciano Rezzolla and Paul D. Lasky and Simon R. Goode},
  journal= {arXiv preprint arXiv:2504.21526},
  year   = {2025}
}

Comments

9 pages, 5 figures. Submitted to ApjL