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MINI REVIEW article

Front. Astron. Space Sci.

Sec. Nuclear Physics​

Volume 12 - 2025 | doi: 10.3389/fspas.2025.1666331

This article is part of the Research TopicStrong and Weak Interactions in Compact StarsView all 8 articles

Relativistic ab initio calculations for static and rotating neutron stars

Provisionally accepted
  • 1Rheinische Friedrich-Wilhelms-Universitat Bonn, Bonn, Germany
  • 2Chongqing University, Chongqing, China
  • 3Peking University, Beijing, China

The final, formatted version of the article will be published soon.

Neutron stars are extraordinary astrophysical objects with densities close to and even very far above these in atomic nuclei. Their structure and dynamic observables are governed by the equation of state (EoS). Due to difficulties in both theory and experiments, there exist still big uncertainties on the EoS for neutron stars. From the realistic nucleon–nucleon (NN) interactions fitted to the experimental NN scattering data, the ab initio calculations based on exact many-body theory are expected to provide a reliable EoS for neutron stars. In this mini review, the relativistic Brueckner–Hartree–Fock theory within the full Dirac space will be introduced, the technical for relieving the angle-averaging approximations will be addressed, and its description for neutron star properties will be introduced.

Keywords: Relativistic ab initio calculations, full Dirac space, Nuclear matter, equation of state, neutron star

Received: 15 Jul 2025; Accepted: 06 Oct 2025.

Copyright: © 2025 Tong, Wang and Meng. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence:
Hui Tong, tongh16@pku.edu.cn
Jie Meng, mengj@pku.edu.cn

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