English

Nuclear charge radius predictions by kernel ridge regression with odd-even effects

Nuclear Theory 2024-04-22 v1 Nuclear Experiment

Abstract

The extended kernel ridge regression (EKRR) method with odd-even effects was adopted to improve the description of the nuclear charge radius using five commonly used nuclear models. These are: (i) the isospin dependent A1/3A^{1/3} formula, (ii) relativistic continuum Hartree-Bogoliubov (RCHB) theory, (iii) Hartree-Fock-Bogoliubov (HFB) model HFB25, (iv) the Weizs\"acker-Skyrme (WS) model WS^\ast, and (v) HFB25^\ast model. In the last two models, the charge radii were calculated using a five-parameter formula with the nuclear shell corrections and deformations obtained from the WS and HFB25 models, respectively. For each model, the resultant root-mean-square deviation for the 1014 nuclei with proton number Z8Z \geq 8 can be significantly reduced to 0.009-0.013~fm after considering the modification with the EKRR method. The best among them was the RCHB model, with a root-mean-square deviation of 0.0092~fm. The extrapolation abilities of the KRR and EKRR methods for the neutron-rich region were examined and it was found that after considering the odd-even effects, the extrapolation power was improved compared with that of the original KRR method. The strong odd-even staggering of nuclear charge radii of Ca and Cu isotopes and the abrupt kinks across the neutron N=126N=126 and 82 shell closures were also calculated and could be reproduced quite well by calculations using the EKRR method.

Keywords

Cite

@article{arxiv.2404.12609,
  title  = {Nuclear charge radius predictions by kernel ridge regression with odd-even effects},
  author = {Lu Tang and Zhen-Hua Zhang},
  journal= {arXiv preprint arXiv:2404.12609},
  year   = {2024}
}

Comments

8 pages, 5 figures, 1 table

R2 v1 2026-06-28T15:59:24.324Z