10 papers
How Neutron Star Radii Encode the Dense-Matter Equation of State and Hadron-Quark Transition
Bao-An Li, Xavier Grundler
We investigate how future high-precision neutron star (NS) radius measurements encode microscopic information about the dense-matter equation of state (EOS), focusing on a possible…
Bayesian Inference of fine-features of dense matter EOS from future high-precision data of neutron star radii
Bao-An Li, Xavier Grundler, Wen-Jie Xie +1
Future high-precision X-ray and gravitational wave observatories are expected to measure the radii of neutron stars (NSs) with an accuracy better than about 0.1 km. However, it rem…
Quantifying the Information Gain from Future High-Precision Radius Measurements for Identifying Twin Neutron Stars
Bao-An Li, Xavier Grundler
Twin neutron stars (NSs), characterized by identical gravitational masses but different radii, are among the most promising astrophysical signatures of a strong first-order hadron-…
Universal EOS-Radius Inverse Mappings Govern Precision-Dependent Inference of the Neutron Star Equation of State
Bao-An Li
Bayesian inference of the neutron star (NS) equation of state (EOS) generally assumes that improved observations primarily reduce posterior uncertainties while leaving inferred EOS…
Bayesian Inference of Hybrid Star Properties from Future High-Precision Measurements of Their Radii
Bao-An Li, Xavier Grundler, Wen-Jie Xie +1
Future high-precision X-ray and gravitational-wave observations of neutron stars (NSs) are expected to constrain NS radii with uncertainties as small as ~km. Such unp…
Bayesian Quantification of Observability and Equation of State of Twin Stars
Xavier Grundler, Bao-An Li
The possibility of discovering twin stars, two neutron stars (NSs) with the same mass but different radii, is usually studied in forward modelings by using a restricted number of N…