activity
20242026
most citedBayesian Inference of Fine-Features of Nuclear Equation of State from Future Neutron Star Radius Measurements to 0.1km Accuracy

20 citations · 83 across the 14 of their papers we have counts for

collaborators

14 papers

nucl-th2026

Symbolic Regression for Interpretable Emulation of Proton Collective Flow in Intermediate-Energy Heavy-Ion Collisions

Nicholas Cox, Xavier Grundler, Bao-An Li

Symbolic regression provides an interpretable machine-learning approach for constructing explicit analytic relations between physical inputs and observables. In this work, we devel…

astro-ph.HE2026

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-…

astro-ph.HE2026

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…

astro-ph.HE2026

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…

nucl-th2026

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…

astro-ph.HE2025★ 6 cited

Illuminating dark matter admixed in neutron stars with simultaneous mass-radius constraints

Nai-Bo Zhang, Bao-An Li, Jia-Yu Zhang +2

We investigate how simultaneous mass and radius measurements of massive neutron stars (NSs) can help constrain properties of dark matter (DM) possibly admixed in them. Within a fer…

astro-ph.HE2025★ 7 cited

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…

astro-ph.HE2025★ 4 cited

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…

nucl-th2025★ 5 cited

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…

nucl-th2024★ 2 cited

Imprints of high-density nuclear symmetry energy on the crustal fraction of neutron star moment of inertia

Nai-Bo Zhang, Bao-An Li

The density dependence of nuclear symmetry energy remains the most uncertain aspect of the equation of state (EOS) of supradense neutron-rich nucleonic matter. Imp…

astro-ph.HE2024★ 20 cited

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…

nucl-th2024★ 7 cited

Neural Network Emulation of Flow in Heavy-Ion Collisions at Intermediate Energies

Nicholas Cox, Xavier Grundler, Bao-An Li

Applications of new techniques in machine learning are speeding up progress in research in various fields. In this work, we construct and evaluate a deep neural network (DNN) to be…

nucl-th2024★ 14 cited

Impact of the nuclear equation of state on the formation of twin stars

Nai-Bo Zhang, Bao-An Li

Twin stars-two stable neutron stars (NSs) with the same mass but different radii have long been proposed to appear as a consequence of a possible first-order phase transition in NS…

astro-ph.HE2024★ 18 cited

Impact of The Newly Revised Gravitational Redshift of X-ray Burster GS 1826-24 on The Equation of State of Supradense Neutron-Rich Matter

Wen-Jie Xie, Bao-An Li, Nai-Bo Zhang

Thanks to the recent advancement in producing rare isotopes and measuring their masses with unprecedented precision, the updated nuclear masses around the waiting-point nucleus $^{…