Solution of the Monoenergetic Neutron Transport Equation in a Half Space via Singular Eigenfunction Expansion

B. Ganapol
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Abstract

The analytical solution of neutron transport equation has fascinated mathematicians and physicists alike since the Milne half-space problem was introduce in 1921 [1]. Numerous numerical solutions exist, but understandably, there are only a few analytical solutions, with the prominent one being the singular eigenfunction expansion (SEE) introduced by Case [2] in 1960. For the half-space, the method, though yielding, an elegant analytical form resulting from half-range completeness, requires numerical evaluation of complicated integrals. In addition, one finds closed form analytical expressions only for the infinite medium and half-space cases. One can find the flux in a slab only iteratively. That is to say, in general one must expend a considerable numerical effort to get highly precise benchmarks from SEE. As a result, investigators have devised alternative methods, such as the CN [3], FN [4] and Greens Function Method (GFM) [5] based on the SEE have been devised. These methods take the SEE at their core and construct a numerical method around the analytical form. The FN method in particular has been most successful in generating highly precise benchmarks. No method yielding a precise numerical solution has yet been based solely on a fundamental discretization until now. Here, we show for the albedo problem with a source on the vacuum boundary of a homogeneous medium, a precise numerical solution is possible via Lagrange interpolation over a discrete set of directions.
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半空间单能中子输运方程的奇异本征函数展开解
自从米尔恩半空间问题在1921年被引入以来,中子输运方程的解析解一直吸引着数学家和物理学家。存在大量的数值解,但可以理解的是,只有少数解析解,其中最突出的是1960年由Case[2]引入的奇异特征函数展开(SEE)。对于半空间,该方法虽然是由半范围完备性得到的一种优雅的解析形式,但需要对复杂的积分进行数值计算。此外,人们发现封闭形式的解析表达式只适用于无限介质和半空间情况。人们只能迭代地求出板中的通量。也就是说,一般来说,人们必须花费相当大的数值努力才能从SEE中获得高度精确的基准。因此,研究人员设计了替代方法,如CN [3], FN[4]和基于SEE的格林函数法(GFM)[5]。这些方法以SEE为核心,围绕解析形式构建数值方法。FN方法在生成高度精确的基准方面尤其成功。到目前为止,还没有一种方法能完全基于基本离散化来得到精确的数值解。在这里,我们展示了在均匀介质的真空边界上具有源的反照率问题,可以通过拉格朗日插值在离散方向上得到精确的数值解。
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