A Fast Butterfly-Compressed Hadamard–Babich Integrator for High-Frequency Helmholtz Equations in Inhomogeneous Media with Arbitrary Sources

IF 16.4 1区 化学 Q1 CHEMISTRY, MULTIDISCIPLINARY
Yang Liu, Jian Song, Robert Burridge, Jianliang Qian
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Abstract

We present a butterfly-compressed representation of the Hadamard–Babich (HB) ansatz for the Green’s function of the high-frequency Helmholtz equation in smooth inhomogeneous media. For a computational domain discretized with discretization cells, the proposed algorithm first solves and tabulates the phase and HB coefficients via eikonal and transport equations with observation points and point sources located at the Chebyshev nodes using a set of much coarser computation grids, and then butterfly compresses the resulting HB interactions from all cell centers to each other. The overall CPU time and memory requirement scale as for any bounded two-dimensional (2D) domains with arbitrary excitation sources. A direct extension of this scheme to bounded 3D domains yields an CPU complexity, which can be further reduced to quasi-linear complexities with proposed remedies. The scheme can also efficiently handle scattering problems involving inclusions in inhomogeneous media. Although the current construction of our HB integrator does not accommodate caustics, the resulting HB integrator itself can be applied to certain sources, such as concave-shaped sources, to produce caustic effects. Compared to finite-difference frequency domain methods, the proposed HB integrator is free of numerical dispersion and requires fewer discretization points per wavelength. As a result, it can solve wave propagation problems well beyond the capability of existing solvers. Remarkably, the proposed scheme can accurately model wave propagation in 2D domains with 640 wavelengths per direction and in 3D domains with 54 wavelengths per direction on a state-of-the-art supercomputer at Lawrence Berkeley National Laboratory.
非齐次介质中高频Helmholtz方程的快速蝴蝶压缩Hadamard-Babich积分器
我们提出了光滑非齐次介质中高频亥姆霍兹方程格林函数的Hadamard-Babich (HB) ansatz的蝴蝶压缩表示。对于由离散化单元离散化的计算域,该算法首先利用位于切比雪夫节点的观测点和点源的正交方程和输运方程求解相位和HB系数并制表,然后利用一组更粗的计算网格将所得HB相互作用从所有单元中心压缩到彼此。总体CPU时间和内存需求规模为任意激发源的任何有界二维(2D)域。将该方案直接扩展到有界的3D域会产生CPU复杂性,可以通过提出的补救措施进一步降低到准线性复杂性。该方法还能有效地处理非均匀介质中夹杂物的散射问题。虽然我们的HB积分器目前的结构不能容纳焦散,但由此产生的HB积分器本身可以应用于某些源,例如凹形源,以产生焦散效应。与有限差分频域方法相比,所提出的HB积分器不存在数值色散,并且每个波长需要较少的离散点。因此,它可以解决远远超出现有求解器能力的波传播问题。值得注意的是,在劳伦斯伯克利国家实验室最先进的超级计算机上,所提出的方案可以准确地模拟每个方向640个波长的二维域和每个方向54个波长的三维域的波传播。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Accounts of Chemical Research
Accounts of Chemical Research 化学-化学综合
CiteScore
31.40
自引率
1.10%
发文量
312
审稿时长
2 months
期刊介绍: Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.
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