Dataset referencing 2022DO01

Phys.Rev. C 105, 014308 (2022)

X.-X.Dong, R.An, J.-X.Lu, L.-S.Geng

Novel Bayesian neural network based approach for nuclear charge radii

NUCLEAR STRUCTURE ^{34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55}Ca, ^{32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55}K; calculated charge radii by the Nerlo-Pomorska and Pomorski (NP) formula, D2 and D4 models, and compared with the experimental data; deduced strong odd-even staggerings. Novel approach combining a three-parameter formula and Bayesian neural network for charge radii.

doi: 10.1103/PhysRevC.105.014308

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⁴⁴ K	ADOPTED LEVELS, GAMMAS	2023-06	All references
⁵⁵ K	ADOPTED LEVELS, GAMMAS	2022-04	All references
⁵⁵ Ca	ADOPTED LEVELS, GAMMAS	2022-04	All references

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