NUCLEAR TECHNIQUES, Volume. 48, Issue 5, 050007(2025)

Constraining nuclear EOSs with massive neutron stars in the framework of RMF models

Wenjie XIE1,2,3 and Chengjun XIA4、*
Author Affiliations
  • 1Department of Physics, Yuncheng University, Yuncheng 044000, China
  • 2Shanxi Province Intelligent Optoelectronic Sensing Application Technology, Innovation Center, Yuncheng University, Yuncheng 044000, China
  • 3Guangxi Key Laboratory of Nuclear Physics and Nuclear Technology, Guangxi Normal University, Guilin 541004, China
  • 4Center for Gravitation and Cosmology, College of Physical Science and Technology, Yangzhou University, Yangzhou 225009, China
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    Background

    With the increasing number of astronomical observational data, it becomes feasible to constrain the equation of state of neutron star matter via data-driven method.

    Purpose

    Constrain nuclear EOSs (Equation of State) with massive neutron stars in the framework of relativistic mean field (RMF) models according to various astrophysical observations on neutron star properties.

    Methods

    This study investigated the nuclear EOS and neutron star structures using RMF models constrained by Bayesian inference and astrophysical observations.

    Results

    By analyzing density-dependent coupling constants across different critical densities, the work demonstrates that higher critical densities tighten constraints on the EOS, leading to softer intermediate-density behavior and increased central energy densities for massive neutron stars. Key ?ndings include a high probability of the squared sound speed exceeding the conformal limit (vs2>1/3) in massive neutron star cores. The inferred maximum neutron star masses (Mmax≥2.5 M) align with interpretations of gravitational wave events like GW190814, where secondary components may represent massive neutron stars. The symmetry energy and pressure profiles at supranuclear densities exhibit critical-density dependence, consistent with multi-messenger constraints.

    Conclusions

    These findings highlight the interplay between EOS stiffness, phase transitions, and observational constraints, providing critical insights for future studies to refine nuclear matter properties through multi-messenger data and advanced density functional analyses.

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    Wenjie XIE, Chengjun XIA. Constraining nuclear EOSs with massive neutron stars in the framework of RMF models[J]. NUCLEAR TECHNIQUES, 2025, 48(5): 050007

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    Paper Information

    Category: Special Topics on Applications of Machine Learning in Nuclear Physics and Nuclear Data

    Received: Apr. 12, 2025

    Accepted: --

    Published Online: Jun. 26, 2025

    The Author Email: Chengjun XIA (夏铖君)

    DOI:10.11889/j.0253-3219.2025.hjs.48.250167

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