Code-verification techniques for the method-of-moments implementation of the magnetic-field integral equation

Freno, Brian Andrew; Matula, Neil R.

doi:10.1016/j.jcp.2023.111959

Code-verification techniques for the method-of-moments implementation of the magnetic-field integral equation

Journal Article · Tue Jan 24 23:00:00 EST 2023 · Journal of Computational Physics

DOI:https://doi.org/10.1016/j.jcp.2023.111959· OSTI ID:2311680

^[1]; Matula, Neil R. ^[1]

Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)

For computational physics simulations, code verification plays a major role in establishing the credibility of the results by assessing the correctness of the implementation of the underlying numerical methods. In computational electromagnetics, surface integral equations, such as the method-of-moments implementation of the magnetic-field integral equation, are frequently used to solve Maxwell's equations on the surfaces of electromagnetic scatterers. These electromagnetic surface integral equations yield many code-verification challenges due to the various sources of numerical error and their possible interactions. In this paper, we provide approaches to separately measure the numerical errors arising from these different error sources. We demonstrate the effectiveness of these approaches for cases with and without coding errors.

View Accepted Manuscript (DOE)

Research Organization:: Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)

Sponsoring Organization:: USDOE National Nuclear Security Administration (NNSA)

Grant/Contract Number:: NA0003525

OSTI ID:: 2311680

Alternate ID(s):: OSTI ID: 1923122

Report Number(s):: SAND--2023-02924J

Journal Information:: Journal of Computational Physics, Journal Name: Journal of Computational Physics Journal Issue: 111959 Vol. 478; ISSN 0021-9991

Publisher:: ElsevierCopyright Statement

Country of Publication:: United States

Language:: English

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