On the Efficient Evaluation of the Azimuthal Fourier Components of the Green's Function for Helmholtz's Equation in Cylindrical Coordinates

04/25/2021
by   James Garritano, et al.
0

In this manuscript, we develop an efficient algorithm to evaluate the azimuthal Fourier components of the Green's function for the Helmholtz equation in cylindrical coordinates. A computationally efficient algorithm for this modal Green's function is essential for solvers for electromagnetic scattering from bodies of revolution (e.g., radar cross sections, antennas). Current algorithms to evaluate this modal Green's function become computationally intractable when the source and target are close or when the wavenumber is large. Furthermore, most state of the art methods cannot be easily parallelized. In this manuscript, we present an algorithm for evaluating the modal Green's function that has performance independent of both source-to-target proximity and wavenumber, and whose cost grows as O(m), where m is the Fourier mode. Furthermore, our algorithm is embarrassingly parallelizable.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
10/17/2022

Reconstructing a space-dependent source term via the quasi-reversibility method

The aim of this paper is to solve an important inverse source problem wh...
research
01/03/2023

A Fast Multipole Method for axisymmetric domains

The Fast Multipole Method (FMM) for the Poisson equation is extended to ...
research
10/24/2018

Accurate and efficient explicit approximations of the Colebrook flow friction equation based on the Wright-Omega function

The Colebrook equation is a popular model for estimating friction loss c...
research
06/25/2018

A Local Fourier Slice Theorem

We present a local Fourier slice equation that enables local and sparse ...
research
05/22/2018

Unsupervised Domain Adaptation using Regularized Hyper-graph Matching

Domain adaptation (DA) addresses the real-world image classification pro...
research
11/02/2020

Focus on the present: a regularization method for the ASR source-target attention layer

This paper introduces a novel method to diagnose the source-target atten...

Please sign up or login with your details

Forgot password? Click here to reset