arXivDaily arXiv每日学术速递 周一至周五更新
arXiv周末暂无论文更新,休息一下吧,周末愉快~~
arXiv 1111.0354nucl-thnucl-ex
收藏

径向基函数方法预测核质量

Nuclear mass predictions with radial basis function approach

Ning Wang, Min Liu

摘要:

径向基函数(RBF)和Garvey-Kelson关系的帮助下,一些全球核质量模型的精度和预测能力显着提高。从四个模型和2149已知的质量预测之间的均方根偏差下降到约200千电子伏。AME 95 -03和AME 03-Border试验表明,RBF方法是进一步提高质量模型可靠性的一个非常有用的工具。与此同时,结合径向基函数外推,不同模型对未知质量的预测差异显著减小,更好地体现了同位旋对称性。

英文摘要:

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.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

↑