Bulletin of the American Physical Society
66th Annual Meeting of the APS Division of Plasma Physics
Monday–Friday, October 7–11, 2024; Atlanta, Georgia
Session PO07: Fundamental Plasma Physics: Computation and machine learning
2:00 PM–4:36 PM,
Wednesday, October 9, 2024
Hyatt Regency
Room: Hanover FG
Chair: Yuan Shi, Student
Abstract: PO07.00007 : A multiscale hybrid particle-Maxwellian Coulomb-Collision Algorithm for Hybrid Kinetic-Fluid Simulations*
3:12 PM–3:24 PM
Presenter:
Guangye Chen
(Los Alamos Natl Lab)
Authors:
Guangye Chen
(Los Alamos Natl Lab)
Luis Chacon
(Los Alamos Natl Lab)
Adam J Stanier
(Los Alamos Natl Lab)
Steven E Anderson
(Los Alamos National Laboratory)
Bobby Philip
(LANL)
To overcome these challenges, we propose a multiscale hybrid particle-Maxwellian model for hybrid kinetic-fluid simulations. Specifically, we introduce a collisional al- gorithm that utilizes Maxwellians (i.e., isotropic Gaussians) [4] for both highly col- lisional kinetic species and fluid entities. We employ the Lemons method [3] for particle-Maxwellian collisions, enhanced with a more careful treatment of low-relative- speed particles. Additionally, we introduce a new scheme that extends the standard TA method for pairing particle-particle binary collisions to accommodate arbitrary particle weights without compromising conservation properties.
The method is strictly conservative and may significantly outperform standard MC methods, with orders of magnitude improvement in computational efficiency. We will substantiate the accuracy and performance of the proposed method through several examples of varying complexity, encompassing both relaxation and transport problems.
[1] Takizuka, T., Abe, H. Journal of computational physics, (1977) 25: 205-219.
[2] Dimits, A. M., Wang, C., Caflisch, R., Cohen, B. I., & Huang, Y. Journal of Computational Physics (2009) 228: 4881-4892.
[3] Lemons, D.S., Winske, D., Daughton, W. and Albright, B., Journal of Computa- tional Physics, (2009) 228(5), pp.1391-1403.
[4] EchimMM,LemaireJ,&Lie-SvendsenØ.Surveysingeophysics(2011)32:1-70.
*Work supported by LANL LDRD program.
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