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Simulating Magnetized Plasma using an Accelerated Finite Element-Boundary Integral Code

Wingren, Niklas LU and Sjoberg, Daniel LU orcid (2023) 35th General Assembly and Scientific Symposium of the International Union of Radio Science, URSI GASS 2023
Abstract

This paper describes an accelerated finite element-boundary integral code with support for complex media. The code is implemented in Python using several open source packages, and uses Numba just-in-time compilation for improved performance. To accelerate the boundary integral part of the code, a multilevel implementation of the adaptive cross approximation is used. As a numerical example, scattering against a magnetized plasma is demonstrated. For this example, compression of boundary integral matrices is achieved to 9 % of the memory required for full matrices.

Abstract (Swedish)
This paper describes an accelerated finite element-boundary integral code with support for complex media. The code is implemented in Python using several open source packages, and uses Numba just-in-time compilation for improved performance. To accelerate the boundary integral part of the code, a multilevel implementation of the adaptive cross approximation is used. As a numerical example, scattering against a magnetized plasma is demonstrated. For this example, compression of boundary integral matrices is achieved to 9 % of the memory required for full matrices.
Please use this url to cite or link to this publication:
author
and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
host publication
2023 35th General Assembly and Scientific Symposium of the International Union of Radio Science, URSI GASS 2023
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
conference name
35th General Assembly and Scientific Symposium of the International Union of Radio Science, URSI GASS 2023
conference location
Sapporo, Japan
conference dates
2023-08-19 - 2023-08-26
external identifiers
  • scopus:85175175380
ISBN
9798350309973
9789463968096
DOI
10.23919/URSIGASS57860.2023.10265338
language
English
LU publication?
yes
additional info
Funding Information: This work was supported in part by the Swedish Armed Forces, in part by the Swedish Defence Materiel Administration, in part by the National Aeronautics Research Program and in part by the Swedish Governmental Agency for Innovation Systems. Publisher Copyright: © 2023 International Union of Radio Science.
id
d8b56017-b086-420e-9a41-39d7548a965d
date added to LUP
2023-11-09 13:34:09
date last changed
2025-01-27 09:04:22
@inproceedings{d8b56017-b086-420e-9a41-39d7548a965d,
  abstract     = {{<p>This paper describes an accelerated finite element-boundary integral code with support for complex media. The code is implemented in Python using several open source packages, and uses Numba just-in-time compilation for improved performance. To accelerate the boundary integral part of the code, a multilevel implementation of the adaptive cross approximation is used. As a numerical example, scattering against a magnetized plasma is demonstrated. For this example, compression of boundary integral matrices is achieved to 9 % of the memory required for full matrices.</p>}},
  author       = {{Wingren, Niklas and Sjoberg, Daniel}},
  booktitle    = {{2023 35th General Assembly and Scientific Symposium of the International Union of Radio Science, URSI GASS 2023}},
  isbn         = {{9798350309973}},
  language     = {{eng}},
  publisher    = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
  title        = {{Simulating Magnetized Plasma using an Accelerated Finite Element-Boundary Integral Code}},
  url          = {{http://dx.doi.org/10.23919/URSIGASS57860.2023.10265338}},
  doi          = {{10.23919/URSIGASS57860.2023.10265338}},
  year         = {{2023}},
}