A Non-Negative Least Squares-based Approach for Moment-Preserving Particle Merging

Fuente: arXiv
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Auteur principal: Oblapenko, Georgii
Format: Preprint
Publié: 2024
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author Oblapenko, Georgii
author_facet Oblapenko, Georgii
contents In the present work, a novel particle merging scheme is proposed for PIC-DSMC simulations, based on the solution of a Non-negative Least Squares problem. The merging algorithm conserves arbitrary moments of the velocity distribution function, and a collision rate-conserving version of the algorithm is presented as well. Numerical simulations show excellent performance of the merging algorithm in terms of accuracy.
format Preprint
id arxiv_https___arxiv_org_abs_2412_12354
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle A Non-Negative Least Squares-based Approach for Moment-Preserving Particle Merging
Oblapenko, Georgii
Plasma Physics
Computational Physics
In the present work, a novel particle merging scheme is proposed for PIC-DSMC simulations, based on the solution of a Non-negative Least Squares problem. The merging algorithm conserves arbitrary moments of the velocity distribution function, and a collision rate-conserving version of the algorithm is presented as well. Numerical simulations show excellent performance of the merging algorithm in terms of accuracy.
title A Non-Negative Least Squares-based Approach for Moment-Preserving Particle Merging
topic Plasma Physics
Computational Physics
url https://arxiv.org/abs/2412.12354