Garvey-Kelson对核质量的预测有多准确？
How good are the Garvey-Kelson predictions of nuclear masses?
摘要：
Garvey-Kelson关系用于迭代过程，以预测具有测量质量的核附近的核质量。前三次迭代壳的预测质量的平均误差小于用最佳核质量模型获得的误差。它们的质量与Audi-Wapstra外推法相当，为短程质量预测提供了一个简单且可重复的程序。作为迭代和已知质量区域的距离的函数的误差增长的方式的系统的研究表明，误差和剩余的中子-质子相互作用之间存在相关性，产生主要由隐含的假设，即$V_{np}$沿核景观平滑地变化。
英文摘要：
The Garvey-Kelson relations are used in an iterative process to predict nuclear masses in the neighborhood of nuclei with measured masses. Average errors in the predicted masses for the first three iteration shells are smaller than those obtained with the best nuclear mass models. Their quality is comparable with the Audi-Wapstra extrapolations, offering a simple and reproducible procedure for short range mass predictions. A systematic study of the way the error grows as a function of the iteration and the distance to the known masses region, shows that a correlation exists between the error and the residual neutron-proton interaction, produced mainly by the implicit assumption that $V_{np}$ varies smoothly along the nuclear landscape.
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。
