在LTP方法中使用多项式形粒子解析源

R. Jackson, J. Verboncoeur
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引用次数: 0

摘要

局部泰勒多项式(LTP)方法将场和源作为局部解析多项式进行快速数值求解。对源多项式的了解将允许源在LTP公式中进行解析处理,因为导数直接遵循多项式形式。除了理想化的案例外,此类信息很少可用;然而,使用具有有限多项式形状函数的宏观粒子进行电荷和电流沉积,可以对一般情况进行解析处理。宏观粒子多项式系数可以直接用于LTP求解公式。与传统的粒子方法相比,这种方案允许人们选择一种能够以更少的粒子实现高保真度的粒子表示,因为多项式可以包含诸如来自光束的横向轮廓信息等信息。本文提出了一种简单的多项式形式来表示数值模拟中的宏观粒子。粒子的形状必须是连续的,可微到指定的阶数,大小和大小有界,大小和边缘的导数为零,对称,正定,具有解析系数。在LTP中使用的两个关键性质将被证明:粒子边界处的零导数和解析计算系数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analytic sources using polynomial shaped particles in the LTP method
The Local Taylor Polynomial (LTP) method treats fields and sources as local analytic polynomials for rapid numerical solution of PDE's. Knowledge of the source polynomial would allow sources to be treated analytically in LTP formulas, since the derivatives follow directly for polynomial forms. Aside from idealized cases, such information is seldom available; however, use of macro-particles with finite polynomial shape functions for charge and current deposition can make analytic treatment possible for general cases. The macro-particle polynomial coefficients can be used directly in LTP solution formulas. This scheme allows one to choose a representation of particles that enables high fidelity with fewer particles compared to traditional particle methods, since the polynomials can include information such as transverse profile information from a beam, for example. This paper presents a simple polynomial form for representing macro-particles in numerical simulations. The particle shape must be continuous and differentiable to a specified order, bounded in size and magnitude, zero in magnitude and derivatives at the edges, symmetric, positive definite, with analytic coefficients. Two key properties for use in LTP will be demonstrated: zero derivatives at the particle boundary and analytically computable coefficients.
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