Dataset referencing 2021LI33
Y.Liu, C.Su, J.Liu, P.Danielewicz, C.Xu, Z.Ren
Improved naive Bayesian probability classifier in predictions of nuclear mass
ATOMIC MASSES Z=8-118, N=8-170; analyzed masses of 3245 nuclei using an improved naive Bayesian probability (iNBP) method, with classifications tables generated from determination of residuals between theoretical masses from FRDM, HFB and RMF models and the experimental values in AME2016; predicted by iNBP method nuclear masses of the nuclei added in AME2016, as compared to those in AME2003. 48,49,50,51,52,53,54,55,56,57,58,59,60,62,64,66,68,70Ca; calculated binding energies using FRDM, HBF, and RMF methods with modifications by iNBP method, and compared with available experimental values from AME2016.
doi: 10.1103/PhysRevC.104.014315