Nuclear mass predictions with radial basis function approach

TL;DR

This paper demonstrates that combining radial basis function (RBF) techniques with the Garvey-Kelson relation significantly enhances the accuracy and reliability of global nuclear mass models, reducing deviations and improving isospin symmetry representation.

Contribution

The study introduces a novel application of RBF combined with Garvey-Kelson relation to improve nuclear mass predictions and model reliability.

Findings

RMS deviation reduced to about 200 keV

Improved predictive power for unknown masses

Better representation of isospin symmetry

Abstract

With the help of 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 about 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.