9 papers
Bayesian Inference of Dense-Matter Equations of State from Small-Radius Compact Stars with Twin-Star Scenarios
Xieyuan Dong, Hong Shen, Jinniu Hu +1
We investigate dense-matter equations of state (EOSs) within a Bayesian framework, with particular emphasis on whether recent small-radius compact-star candidates can be accommodat…
Nuclear pasta in hot neutron-star matter and proto-neutron stars
Jian Zhou, Junbo Pang, Hong Shen +1
We investigate nuclear pasta phases appearing in hot neutron-star matter based on the compressible liquid-drop model, where the matter consists of a dense liquid phase and a dilute…
Impact of crust-core connection procedures on the tidal deformability of neutron stars
Junbo Pang, Hong Shen, Jinniu Hu
We study the impact of crust-core connection procedures on various neutron-star properties, especially on the tidal deformability. We consider three types of connection procedures…
Resolving the spurious-state problem in Dirac equation by using the staggered-grid method
Lingfeng Li, Hong Shen, Jinniu Hu +1
Discretizing the Dirac equation on a uniform grid with the central difference formula often generates spurious states. We propose a staggered-grid scheme in the framework of the fi…
The equation of state for neutron stars with speed of sound constraints via Bayesian inference
Xieyuan Dong, Hong Shen, Jinniu Hu +1
The parametrized equation of state (EOS) of neutron stars is investigated by Bayesian inference method with various constraints from both nuclear physics and modern astronomical ob…
Nuclear Matter and Finite Nuclei: Relativistic Thomas-Fermi Approximation Versus Relativistic Mean-Field Approach
Shuying Li, Hong Shen, Jinniu Hu
The Thomas-Fermi approximation is a powerful method that has been widely used to describe atomic structures, finite nuclei, and nonuniform matter in supernovae and neutron-star cru…