Constraint on phase transition with the multimessenger data of neutron stars

Shao-Peng Tang, Jin-Liang Jiang, Wei-Hong Gao, Yi-Zhong Fan, and Da-Ming Wei
Phys. Rev. D 103, 063026 – Published 19 March 2021

Abstract

The equation of state (EoS) of the neutron star (NS) matter remains an enigma. In this work we perform the Bayesian parameter inference with the gravitational wave data (GW170817) and mass-radius observations of some NSs (PSR J0030+0451, PSR J04374715, and 4U 1702-429) using the phenomenologically constructed EoS models to search for a potential first-order phase transition. Our phenomenological EoS models take the advantages of current widely used parametrizing methods, which are flexible enough to resemble various theoretical EoS models. We find that the current observation data are still not informative enough to support/rule out phase transition, due to the comparable evidences for models with and without phase transition. However, the bulk properties of the canonical 1.4M NS and the pressure at around 2ρsat are well constrained by the data, where ρsat is the nuclear saturation density. Moreover, strong phase transition at low densities is disfavored, and the 1σ lower bound of transition density is constrained to 1.84ρsat.

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  • Received 6 September 2020
  • Accepted 8 March 2021

DOI:https://doi.org/10.1103/PhysRevD.103.063026

© 2021 American Physical Society

Physics Subject Headings (PhySH)

Nuclear Physics

Authors & Affiliations

Shao-Peng Tang1,2, Jin-Liang Jiang1,2, Wei-Hong Gao3, Yi-Zhong Fan1,2,*, and Da-Ming Wei1,2

  • 1Key Laboratory of Dark Matter and Space Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, Nanjing 210033, People’s Republic of China
  • 2School of Astronomy and Space Science, University of Science and Technology of China, Hefei, Anhui 230026, People’s Republic of China
  • 3Department of Physics and Institute of Theoretical Physics, Nanjing Normal University, Nanjing 210046, People’s Republic of China

  • *Corresponding author. yzfan@pmo.ac.cn

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Vol. 103, Iss. 6 — 15 March 2021

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