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

Niklas Wingren; Daniel Sjoberg

doi:10.23919/URSIGASS57860.2023.10265338

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

Research output: Chapter in Book/Report/Conference proceeding › Paper in conference proceeding › peer-review

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.

Original language	English
Title of 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.
ISBN (Electronic)	9789463968096
ISBN (Print)	9798350309973
DOIs	https://doi.org/10.23919/URSIGASS57860.2023.10265338
Publication status	Published - 2023
Event	35th General Assembly and Scientific Symposium of the International Union of Radio Science, URSI GASS 2023 - Sapporo, Japan Duration: 2023 Aug 19 → 2023 Aug 26

Conference

Conference	35th General Assembly and Scientific Symposium of the International Union of Radio Science, URSI GASS 2023
Country/Territory	Japan
City	Sapporo
Period	2023/08/19 → 2023/08/26

Subject classification (UKÄ)

Computational Mathematics

Access to Document

10.23919/URSIGASS57860.2023.10265338

Cite this

@inproceedings{d8b56017b086420e9a4139d7548a965d,

title = "Simulating Magnetized Plasma using an Accelerated Finite Element-Boundary Integral Code",

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.",

author = "Niklas Wingren and Daniel Sjoberg",

note = "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: {\textcopyright} 2023 International Union of Radio Science.; 35th General Assembly and Scientific Symposium of the International Union of Radio Science, URSI GASS 2023 ; Conference date: 19-08-2023 Through 26-08-2023",

year = "2023",

doi = "10.23919/URSIGASS57860.2023.10265338",

language = "English",

isbn = "9798350309973",

booktitle = "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.",

address = "United States",

}

Wingren, N & Sjoberg, D 2023, Simulating Magnetized Plasma using an Accelerated Finite Element-Boundary Integral Code. in 2023 35th General Assembly and Scientific Symposium of the International Union of Radio Science, URSI GASS 2023. IEEE - Institute of Electrical and Electronics Engineers Inc., 35th General Assembly and Scientific Symposium of the International Union of Radio Science, URSI GASS 2023, Sapporo, Japan, 2023/08/19. https://doi.org/10.23919/URSIGASS57860.2023.10265338

Simulating Magnetized Plasma using an Accelerated Finite Element-Boundary Integral Code. / Wingren, Niklas; Sjoberg, Daniel.
2023 35th General Assembly and Scientific Symposium of the International Union of Radio Science, URSI GASS 2023. IEEE - Institute of Electrical and Electronics Engineers Inc., 2023.

Research output: Chapter in Book/Report/Conference proceeding › Paper in conference proceeding › peer-review

TY - GEN

T1 - Simulating Magnetized Plasma using an Accelerated Finite Element-Boundary Integral Code

AU - Wingren, Niklas

AU - Sjoberg, Daniel

N1 - 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.

PY - 2023

Y1 - 2023

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/85175175380

U2 - 10.23919/URSIGASS57860.2023.10265338

DO - 10.23919/URSIGASS57860.2023.10265338

M3 - Paper in conference proceeding

AN - SCOPUS:85175175380

SN - 9798350309973

BT - 2023 35th General Assembly and Scientific Symposium of the International Union of Radio Science, URSI GASS 2023

PB - IEEE - Institute of Electrical and Electronics Engineers Inc.

T2 - 35th General Assembly and Scientific Symposium of the International Union of Radio Science, URSI GASS 2023

Y2 - 19 August 2023 through 26 August 2023

ER -

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

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