210 citations · 384 across the 11 of their papers we have counts for
19 papers
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…
Trace anomaly and isospin splitting in inverse-mapped relativistic mean-field theory
Wen-Jie Xie, Jun-Hua Guo
Trace anomaly and sound speed provide EOS-level probes of dense-matter nonconformality, but do not by themselves identify the microscopic channels responsible for the response. We…
Finite-nucleus-protected high-density extension of covariant density functionals constrained by multimessenger data
Wen-Jie Xie, Jun-Hua Guo
We construct a finite-nucleus-protected high-density extension of covariant density functionals by modifying only the isoscalar-vector channel outside the finite-nucleus calibratio…
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 unpr…
Evolutions of in-medium baryon-baryon scattering cross sections and stiffness of dense nuclear matter from Bayesian analyses of FOPI proton flow excitation functions
Bao-An Li, Wen-Jie Xie
Within a Bayesian statistical framework using a Gaussian Process (GP) emulator for an isospin-dependent Boltzmann-Uehling-Uhlenbeck (IBUU) transport model simulator of heavy-ion re…
Bayesian Inference of Fine-Features of Nuclear Equation of State from Future Neutron Star Radius Measurements to 0.1km Accuracy
Bao-An Li, Xavier Grundler, Wen-Jie Xie +1
To more precisely constrain the Equation of State (EOS) of supradense neutron-rich nuclear matter, future high-precision X-ray and gravitational wave observatories are proposed to…