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首页> 外文期刊>Journal of Computational Physics >An angular multigrid method for computing mono-energetic particle beams in Flatland
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An angular multigrid method for computing mono-energetic particle beams in Flatland

机译:平原中单能粒子束的角多网格计算方法

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Beams of microscopic particles penetrating scattering background matter play an important role in several applications. The parameter choices made here are motivated by the problem of electron-beam cancer therapy planning. Mathematically, a steady particle beam penetrating matter, or a configuration of several such beams, is modeled by a boundary value problem for a Boltzmann equation. Grid-based discretization of such a problem leads to a system of algebraic equations. This system is typically very large because of the large number of independent variables in the Boltzmann equation--six if no dimension-reducing assumptions other than time independence are made. If grid-based methods are to be practical for these problems, it is therefore necessary to develop very fast solvers for the discretized problems. For beams of mono-energetic particles interacting with a passive background, but not with each other, in two space dimensions, the first author proposed such a solver, based on angular domain decomposition, some time ago. Here, we propose and test an angular multigrid algorithm for the same model problem. Our numerical experiments show rapid, grid-independent convergence. For high-resolution calculations, our method is substantially more efficient than the angular domain decomposition method. In addition, unlike angular domain decomposition, the angular multigrid method works well even when the angular diffusion coefficient is fairly large.
机译:穿透散射背景物质的微观粒子束在几种应用中起着重要作用。此处所做的参数选择受电子束癌症治疗计划问题的影响。在数学上,通过玻尔兹曼方程的边值问题对稳定的粒子束穿透物质或几种此类束的构型进行建模。这种问题的基于网格的离散化导致了一个代数方程组。由于Boltzmann方程中存在大量自变量,因此该系统通常非常大-如果不进行除时间独立性以外的其他降维假设,则该系统为六。如果要基于网格的方法解决这些问题,那么有必要针对离散化问题开发非常快速的求解器。对于单能粒子束在两个空间维度上与被动背景但彼此之间不相互作用的光束,前者基于角域分解提出了这种求解器。在这里,我们提出并测试了针对同一模型问题的角度多重网格算法。我们的数值实验表明,快速,独立于网格的收敛。对于高分辨率计算,我们的方法比角域分解方法有效得多。另外,与角域分解不同,即使当角扩散系数相当大时,角多重网格方法也能很好地工作。

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