Constraining the relativistic mean-field model equations of state with gravitational wave observations
Rana Nandi, Prasanta Char, Subrata Pal

TL;DR
This paper constrains relativistic mean-field models of neutron star matter using gravitational wave data from GW170817, neutron star mass measurements, and nuclear experiments, leading to tighter bounds on the equation of state and neutron star radii.
Contribution
It systematically evaluates relativistic nuclear models against observational and experimental constraints, identifying models consistent with all data and proposing implications for neutron star physics.
Findings
Only a few models satisfy all observational bounds.
The models predict a stiff equation of state with a soft symmetry energy.
An upper limit of approximately 12.9 km is set for the radius of a 1.4 solar mass neutron star.
Abstract
The first detection of gravitational waves from the binary neutron star merger event GW170817 has started to provide important new constraints on the nuclear equation of state at high density. The tidal deformability bound of GW170817 combined with the observed two solar mass neutron star poses a serious challenge to theoretical formulations of realistic equations of state. We analyze a fully comprehensive set of relativistic nuclear mean-field theories by confronting them with the observational bounds and the measured neutron-skin thickness. We find that only a few models can withstand these bounds which predict a stiff overall equation of state but with a soft neutron-proton symmetry energy. Two possible indications are proposed: Circumstantial evidence of hadron-quark phase transition inside the star and new parametrizations that are consistent with ground state properties of finite…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
