Trends of Neutron Skins and Radii of Mirror Nuclei from First Principles

S. J. Novario, D. Lonardoni, S. Gandolfi, G. Hagen

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24 Scopus citations

Abstract

The neutron skin of atomic nuclei impacts the structure of neutron-rich nuclei, the equation of state of nucleonic matter, and the size of neutron stars. Here we predict the neutron skin of selected light- and medium-mass nuclei using coupled-cluster theory and the auxiliary field diffusion Monte Carlo method with two- and three-nucleon forces from chiral effective field theory. We find a linear correlation between the neutron skin and the isospin asymmetry in agreement with the liquid-drop model and compare with data. We also extract the linear relationship that describes the difference between neutron and proton radii of mirror nuclei and quantify the effect of charge symmetry breaking terms in the nuclear Hamiltonian. Our results for the mirror-difference charge radii and binding energies per nucleon agree with existing data.

Original languageEnglish
Article number032501
JournalPhysical Review Letters
Volume130
Issue number3
DOIs
StatePublished - Jan 20 2023

Funding

We would like to thank J. Carlson, I. Tews, and R. F. Garcia Ruiz for helpful discussions. The work of S. G., S. N., and D. L. was supported by the DOE NUCLEI SciDAC Program, and by the DOE Early Career Research Program. The work of S. G. was also supported by U.S. Department of Energy, Office of Science, Office of Nuclear Physics, under Contract No. DE-AC52-06NA25396. G. H. was supported by the Office of Nuclear Physics, U.S. Department of Energy, under Grant No. DE-SC0018223 (NUCLEI SciDAC-4 collaboration) and under contract DE-AC05-00OR22725 with UT-Battelle, LLC (Oak Ridge National Laboratory). Computer time was provided by the Innovative and Novel Computational Impact on Theory and Experiment (INCITE) program. This research used resources of the Oak Ridge Leadership Computing Facility located at ORNL, which is supported by the Office of Science of the Department of Energy under Contract No. DE-AC05-00OR22725. This research also used resources provided by the Los Alamos National Laboratory Institutional Computing Program, which is supported by the U.S. Department of Energy National Nuclear Security Administration under Contract No. 89233218CNA000001.

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