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arXiv 0901.1729nucl-thnucl-exphysics.data-an
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核质量的最佳线性无偏估计

Best linear unbiased estimation of the nuclear masses

Bertrand Bouriquet, Jean-Philippe Argaud

摘要:

本文介绍了方法,以提供一个最佳的评价核质量。用于这一目的的技术来自数据同化,它允许以最佳和一致的方式结合来自实验和数值模型的信息。利用所有可用的信息,它不仅可以提高群众的评价,而且可以减少不确定性。每个新评估的质量值都与某些准确度相关,这些准确度相对于表中给出的值明显降低,特别是在不太知名的质量的情况下。在本文中,我们首先介绍了一个有用的工具,数据同化,最佳线性无偏估计(BLUE)。将这种BLUE方法应用于核质量表,并给出了一些改进结果。

英文摘要:

This paper presents methods to provide an optimal evaluation of the nuclear masses. The techniques used for this purpose come from data assimilation that allows combining, in an optimal and consistent way, information coming from experiment and from numerical model. Using all the available information, it leads to improve not only masses evaluations, but also to decrease uncertainties. Each newly evaluated mass value is associated with some accuracy that is sensibly reduced with respect to the values given in tables, especially in the case of the less well-known masses. In this paper, we first introduce a useful tool of data assimilation, the Best Linear Unbiased Estimation (BLUE). This BLUE method is applied to nuclear mass tables and some results of improvement are shown.

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。

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