Rotating Neutron Stars with the Relativistic Ab Initio Calculations
Xiaoying Qu, Sibo Wang, and Hui Tong

TL;DR
This paper develops relativistic equations of state for neutron stars using advanced ab initio calculations, analyzing their structural properties under rotation, and comparing predictions with astrophysical observations.
Contribution
It introduces a self-consistent relativistic Brueckner-Hartree-Fock approach for neutron star EOSs, incorporating negative-energy states, and explores rotational effects on neutron star structure.
Findings
Maximum rotating neutron star mass up to 2.93 solar masses.
Neutron star radius can extend to about 17 km for non-rotating 1.4 solar masses.
Predicted radius of PSR J0952-0607 less than 19.58 km.
Abstract
The equation of state (EOS) of extremely dense matter is crucial for understanding the properties of rotating neutron stars. Starting from the widely used realistic Bonn potentials rooted in a relativistic framework, we derive EOSs by performing the state-of-the-art relativistic Brueckner-Hartree-Fock (RBHF) calculations in the full Dirac space. The self-consistent and simultaneous consideration of both positive- and negative-energy states (NESs) of the Dirac equation allows us to avoid the uncertainties present in calculations where NESs are treated using approximations. To manifest the impact of rotational dynamics, several structural properties of neutron stars across a wide range of rotation frequencies and up to the Keplerian limit are obtained, including the gravitational and baryonic masses, the polar and equatorial radii, and the moments of inertia. Our theoretical predictions…
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.
Taxonomy
TopicsPulsars and Gravitational Waves Research · Geophysics and Gravity Measurements · Geophysics and Sensor Technology
