English

The Hadron-Quark Crossover in Neutron Star within Gaussian Process Regression Method

Nuclear Theory 2022-08-31 v1

Abstract

The equations of state of the neutron star at the hadron-quark crossover region are interpolated with the Gaussian process regression (GPR) method, which can reduce the randomness of present interpolation schemes. The relativistic mean-field (RMF) model and Nambu-Jona-Lasinio (NJL) model are employed to describe the hadronic phase and quark phase, respectively. In the RMF model, the coupling term between ω\omega and ρ\rho mesons is considered to control the density-dependent behaviors of symmetry energy, i.e. the slope of symmetry energy, LL. Furthermore, the vector interaction between quarks is included in the NJL model to obtain the additional repulsive contributions. Their coupling strengths and the crossover windows are discussed in the present framework under the constraints on the neutron star from gravitational wave detections, massive neutron star measurements, mass-radius simultaneous observation of NICER collaboration, and the neutron skin thickness of 208^{208}Pb from PREX-II. It is found that the slope of symmetry energy, LL should be around 509050-90 MeV and the crossover window is (0.3, 0.6) fm3(0.3,~0.6)~\rm fm^{-3} with these observables. Furthermore, the uncertainties of neutron star masses and radii in the hadron-quark crossover regions are also predicted by the GPR method.

Keywords

Cite

@article{arxiv.2206.12760,
  title  = {The Hadron-Quark Crossover in Neutron Star within Gaussian Process Regression Method},
  author = {Kaixuan Huang and Jinniu Hu and Ying Zhang and Hong Shen},
  journal= {arXiv preprint arXiv:2206.12760},
  year   = {2022}
}

Comments

18 pages, 4 figures, 6 tables, accepted by Astrophysical Journal

R2 v1 2026-06-24T12:04:06.760Z