Nuclear mass predictions with a radial basis function approach
Nuclear mass predictions with a radial basis function approach
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DOI：
10.1103/physrevc.84.051303
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发表时间：
2011-11
影响因子：
3.1
通讯作者：
Ning Wang;Min Liu
中科院分区：
文献类型：
--
作者：
Ning Wang;Min Liu
With the help of the radial basis function (RBF) and the Garvey-Kelson relation, the accuracy and predictive power of some global nuclear mass models are significantly improved. The rms deviation between predictions from four models and 2149 known masses falls to $\ensuremath{\sim}$200 keV. The AME95-03 and AME03-Border tests show that the RBF approach is a very useful tool for further improving the reliability of mass models. Simultaneously, the differences from different model predictions for unknown masses are remarkably reduced and the isospin symmetry is better represented when the RBF extrapolation is combined.
