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Fourier decomposition of sharply peaked phase functions: Legendre expansions versus trapezoidal rule

机译:尖峰相位函数的傅立叶分解:勒让德展开与梯形法则

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Most numerical methods used in radiation transfer problems decompose the radiation field in Fourier series and solve a reduced radiative transfer equation for each Fourier mode. Classically, Legendre polynomials expansions provide the kernels of these reduced transfer equations. For highly peaked phase functions, the Legendre series expansion converges very slowly. We show in this paper that this expansion can advantageously be replaced by a direct numerical evaluation using the trapezoidal rule. The improvement afforded by this direct evaluation yields highly accurate results with orders of magnitude fewer arithmetic operations than the Legendre series, avoids the very slow convergence of the Legendre series and exploits instead the rapid decay of the Fourier coefficients for exponential convergence, and finally bypasses the need for phase function truncations.
机译:辐射传输问题中使用的大多数数值方法都会分解傅立叶级数的辐射场,并针对每个傅立叶模式求解简化的辐射传递方程。经典地,勒让德多项式展开式提供了这些简化的传递方程的核。对于高度峰值的相位函数,Legendre级数展开非常缓慢地收敛。我们在本文中表明,可以使用梯形法则直接进行数值评估来代替这种扩展。这种直接评估所提供的改进可产生高度精确的结果,其运算量比Legendre级数要少几个数量级,避免了Legendre级数非常慢的收敛,而是利用傅立叶系数的快速衰减实现指数收敛,最后绕过了需要相位函数截断。

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