Accelerated Calderon preconditioning for Maxwell transmission problems

Kleanthous, Antigoni; Betcke, Timo; Hewett, David P.; Escapil-Inchauspe, Paul; Jerez-Hanckes, C.; Baran, Anthony J.

Abstract

We investigate a range of techniques for the acceleration of Calderon (operator) preconditioning in the context of boundary integral equation methods for electromagnetic transmission problems. Our objective is to mitigate as far as possible the high computational cost of the barycentrically-refined meshes necessary for the stable discretisation of operator products. Our focus is on the well-known PMCHWT formulation, but the techniques we introduce can be applied generically. By using barycentric meshes only for the preconditioner and not for the original boundary integral operator, we achieve significant reductions in computational cost by (i) using "reduced" Calderon preconditioners obtained by discarding constituent boundary integral operators that are not essential for regularisation, and (ii) adopting a "bi-parametric" approach [1,2] in which we use a lower quality (cheaper) H-matrix assembly routine for the preconditioner than for the original operator, including a novel approach of discarding far-field interactions in the preconditioner. Using the boundary element software Bempp (www.bempp.com), we compare the performance of different combinations of these techniques in the context of scattering by multiple dielectric particles. Applying our accelerated implementation to 3D electromagnetic scattering by an aggregate consisting of 8 monomer ice crystals of overall diameter 1cm at 664GHz leads to a 99% reduction in memory cost and at least a 75% reduction in total computation time compared to a non-accelerated implementation. Crown Copyright (C) 2022 Published by Elsevier Inc. All rights reserved.

Más información

Título según WOS: Accelerated Calderon preconditioning for Maxwell transmission problems
Título según SCOPUS: Accelerated Calderón preconditioning for Maxwell transmission problems
Título de la Revista: JOURNAL OF COMPUTATIONAL PHYSICS
Volumen: 458
Editorial: Elsevier
Fecha de publicación: 2022
DOI:

10.1016/J.JCP.2022.111099

Notas: ISI, SCOPUS