Best Linear Unbiased Estimation of the nuclear masses |
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Authors: | Bertrand Bouriquet Jean-Philippe Argaud |
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Affiliation: | 1. Centre Européen de Recherche et de Formation Avancée en Calcul Scientifique, 42 avenue Gaspard Coriolis, F-31057 Toulouse Cedex 01, France;2. Electricité de France, 1 avenue du Général de Gaulle, F-92141 Clamart Cedex, France |
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Abstract: | 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. |
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Keywords: | Data assimilation Best Linear Unbiased Estimation BLUE Nuclear masses Mass tables |
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