Astrophysical constraints on nuclear EOSs and coupling constants in RMF models
Cheng-Jun Xia, Wen-Jie Xie, Mohemmedelnazier Bakhiet

TL;DR
This study uses astrophysical data to constrain the density-dependent coupling constants in relativistic mean-field models, revealing their behavior at supranuclear densities and implications for nuclear matter properties.
Contribution
It provides the first Bayesian analysis constraining the density-dependent coupling constants in RMF models using neutron star observations.
Findings
Coupling constants decrease with density and approach small positive values.
Constraints at 1.5n0 and 2.5n0 densities are quantitatively specified.
Lower limit of $\alpha_{TV}$ at high densities remains poorly constrained.
Abstract
Utilizing various astrophysical constraints on neutron star structures, we carry out a Bayesian analysis on the density-dependent behaviors of coupling constants in RMF models as well as the nuclear matter properties at supranuclear densities. The effective nucleon interactions in the isoscalar-scalar, isoscalar-vector, and isovector-vector channels are considered, where the corresponding coupling constants () are fixed by dividing entire density range into three regions with six independent parameters. In this work we focus on constraining the density-dependent point-coupling constants at supranuclear densities, while the coupling constants at subsaturation densities are derived from the covariant density functional DD-ME2. For those consistent with astrophysical observations, the coupling constants generally decrease with density and approach to small…
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
TopicsGeophysics and Gravity Measurements · Stellar, planetary, and galactic studies · Pulsars and Gravitational Waves Research
