New effective interactions for hypernuclei in a density-dependent relativistic mean field model

Yu-Ting Rong (荣宇婷), Zhong-Hao Tu (涂中豪), and Shan-Gui Zhou (周善贵)
Phys. Rev. C 104, 054321 – Published 29 November 2021

Abstract

New effective ΛN interactions are proposed for the density-dependent relativistic mean-field model. The multidimensionally constrained relativistic mean-field model is used to calculate ground-state properties of eleven known Λ hypernuclei with A12 and the corresponding core nuclei. Based on effective NN interactions DD-ME2 and PKDD, the ratios Rσ and Rω of scalar and vector coupling constants between ΛN and NN interactions are determined by fitting calculated Λ separation energies to experimental values. We propose six new effective interactions for Λ hypernuclei: DD-ME2-Y1, DD-ME2-Y2, DD-ME2-Y3, PKDD-Y1, PKDD-Y2, and PKDD-Y3 with three ways of grouping and including these eleven hypernuclei in the fitting. It is found that the two ratios Rσ and Rω correlate well and a good linear relation exists between them. The statistical errors of the ratio parameters in these effective interactions are analyzed. These new effective interactions are used to study the single-Λ excited states, the equation of state of hypernuclear matter, and neutron-star properties with hyperons.

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  • Received 4 August 2021
  • Revised 8 October 2021
  • Accepted 15 November 2021

DOI:https://doi.org/10.1103/PhysRevC.104.054321

©2021 American Physical Society

Physics Subject Headings (PhySH)

Nuclear Physics

Authors & Affiliations

Yu-Ting Rong (荣宇婷)1,2, Zhong-Hao Tu (涂中豪)1,2, and Shan-Gui Zhou (周善贵)1,2,3,4,*

  • 1CAS Key Laboratory of Theoretical Physics, Institute of Theoretical Physics, Chinese Academy of Sciences, Beijing, 100190, China
  • 2School of Physical Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China
  • 3Center of Theoretical Nuclear Physics, National Laboratory of Heavy Ion Accelerator, Lanzhou, 730000, China
  • 4Synergetic Innovation Center for Quantum Effects and Application, Hunan Normal University, Changsha, 410081, China

  • *sgzhou@itp.ac.cn

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Issue

Vol. 104, Iss. 5 — November 2021

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