Nuclear mass table in density functional approach inspired by neutron-star observations

DOI DOI Web Site Web Site Web Site 研究データあり 参考文献54件
  • Hana Gil
    Center for Extreme Nuclear Matters, Korea University, Seoul 02841, South Korea
  • Nobuo Hinohara
    Center for Computational Sciences, University of Tsukuba, Tsukuba, Ibaraki 305-8577, Japan
  • Chang Ho Hyun
    Department of Physics Education, Daegu University, Gyeonsan 38453, South Korea
  • Kenichi Yoshida
    Research Center for Nuclear Physics, Osaka University, Ibaraki, Osaka 567-0047, Japan

書誌事項

公開日
2023-10-20
資源種別
journal article
権利情報
  • https://link.aps.org/licenses/aps-default-license
  • https://link.aps.org/licenses/aps-default-accepted-manuscript-license
DOI
  • 10.1103/physrevc.108.044316
  • 10.48550/arxiv.2304.01546
公開者
American Physical Society (APS)

この論文をさがす

説明

Background: Nuclear energy-density functional (EDF) approach has been widely used to describe nuclear-matter equations of state (EoS) and properties of finite nuclei. Recent advancements in neutron-star (NS) observations have put constraints on the nuclear EoS. The Korea-IBS-Daegu-SKKU (KIDS) functional has been then developed to satisfy the NS observations and applied to homogeneous nuclear matter and spherical nuclei. Purpose: We examine the performance of the KIDS functional by calculating the masses and charge radii of even-even nuclei towards the drip lines. Method: The Kohn-Sham-Bogoliubov equation is solved by taking into account the axial deformation. Results: The root-mean-square deviation of the binding energy and the charge radius for the KIDS functional is 4.5--5.1 MeV and 0.03--0.04 fm, which is comparable to that for existing EDFs. The emergence and development of nuclear deformation in open-shell nuclei are well described. The location of the neutron drip line is according to the nuclear-matter parameter characterizing the low-mass NS. Conclusions: The NS-observation-inspired EDF offers a reasonable reproduction of the structures of finite nuclei. A future global optimization including more nuclear data will give better accuracy and high predictive power of neutron-rich nuclei.

9 pages, 6 figures, and 2 tables

収録刊行物

  • Physical Review C

    Physical Review C 108 (4), 2023-10-20

    American Physical Society (APS)

参考文献 (54)*注記

もっと見る

関連プロジェクト

もっと見る

キーワード

問題の指摘

ページトップへ