Journal
PROGRESS IN PARTICLE AND NUCLEAR PHYSICS
Volume 109, Issue -, Pages -Publisher
ELSEVIER
DOI: 10.1016/j.ppnp.2019.103713
Keywords
Covariant density functional theory; Ab initio approach; Relativistic Brueckner-Hartree-Fock theory; Finite nuclei; Neutron drops
Categories
Funding
- National Key R&D Program of China [2017YFE0116700, 2018YFA0404400]
- Natural Science Foundation of China [11935003, 11335002, 11621131001, 11675065, 11875152]
- Ministry of Education of China [MS2010131DX001]
- JSPS, Japan [18K13549]
- JSPS-NSFC Bilateral Program for Joint Research Project on Nuclear mass and life for unraveling mysteries of the r-process
- DFG (Germany) cluster of excellence Origin and Structure of the Universe
- European Union [654002]
Ask authors/readers for more resources
Nuclear structure models built from phenomenological mean fields, the effective nucleon-nucleon interactions (or Lagrangians), and the realistic bare nucleon-nucleon interactions are reviewed. The success of covariant density functional theory (CDFT) to describe nuclear properties and its influence on Brueckner theory within the relativistic framework are focused upon. The challenges and ambiguities of predictions for unstable nuclei without data or for high-density nuclear matter, arising from relativistic density functionals, are discussed. The basic ideas in building an ab initio relativistic density functional for nuclear structure from ab initio calculations with realistic nucleon-nucleon interactions for both nuclear matter and finite nuclei are presented. The current status of fully self-consistent relativistic Brueckner-Hartree-Fock (RBHF) calculations for finite nuclei or neutron drops (ideal systems composed of a finite number of neutrons and confined within an external field) is reviewed. The guidance and perspectives towards an ab initio covariant density functional theory for nuclear structure derived from the RBHF results are provided. (C) 2019 Elsevier B.V. All rights reserved.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available