Appropriate use of the particle-in-cell method in low temperature plasmas: Application to the simulation of negative ion extraction
Open accessAbstract
The Particle-In-Cell Monte Carlo Collision (PIC MCC) method has been used by different authors in the last ten years to describe negative ion extraction in the context of neutral beam injection for fusion. Questionable results on the intensity and profile of the extracted negative ion beamlets have been presented in several recently published papers. Using a standard explicit PIC MCC method, we show that these results are due to a non-compliance with the constraints of the numerical method (grid spacing, number of particles per cell) and to a non-physical generation of the simulated plasma. We discuss in detail the conditions of mesh convergence and plasma generation and show that the results can significantly deviate from the correct solution and lead to unphysical features when the constraints inherent to the method are not strictly fulfilled. This paper illustrates the importance of verification in any plasma simulation. Since the results presented in this paper have been obtained with careful verification of the method, we propose them as benchmarks for future comparisons between different simulation codes for negative ion extraction.
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The pseudo-2D PIC scheme was shown to capture the multidimensional plasma phenomena in all 2D configurations relevant to a Hall thruster, i.e., axial-azimuthal, azimuthal-radial, and axial-radial, with relatively few regions used, showing a computational speed-up with respect to the 2D simulation up to 50.
“The pseudo-2D PIC scheme was shown to capture the multidimensional plasma phenomena in all 2D configurations relevant to a HT, i.e., axial-azimuthal, azimuthal-radial, and axialradial 332,333,335-337 with relatively few regions used, showing a computational speed-up with respect to the 2D simulation up to 50.”
From Plasma propulsion modeling with particle-based algorithms (2023) · cites this paper as [333]
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Vahedi, V., & Surendra, M. (1995) · Computer Physics Communications · doi:10.1016/0010-4655(94)00171-w · Cited by 1,065 · see citing works
The plasma simulation code: A modern particle-in-cell code with patch-based load-balancing
Germaschewski, K., Fox, W., Abbott, S., Ahmadi, N., Maynard, K., Wang, L., Ruhl, H., & Bhattacharjee, A. (2016) · Journal of Computational Physics · doi:10.1016/j.jcp.2016.05.013 · Cited by 107 · see citing works
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Plasma propulsion modeling with particle-based algorithms
Taccogna, F., Cichocki, F., Eremin, D., Fubiani, G., & Garrigues, L. (2023) · Journal of Applied Physics · doi:10.1063/5.0153862 · Cited by 29 · see citing works
Self-citation
- Authors
- Garrigues, L., Fubiani, G., & Boeuf, J. P.
- Affiliations
- Centre National de la Recherche Scientifique (FR)
- Université de Toulouse LAPLACE, , CNRS, INPT, UPS, Toulouse, France
- Venue
- Journal of Applied Physics
- Publisher
- AIP Publishing
- Published
- 2016-12-07
- Volume
- 120
- Issue
- 21
- Pages
- 213303
- ISSN
- 0021-8979 (ISSN-L)
- 1089-7550
- OpenAlex
- W2560033345
- Cited by
- 36
- References
- 2
- Citations by year
- 2026: 3 · 2025: 1 · 2024: 2 · 2023: 5 · 2021: 5 · 2020: 4 · 2019: 4 · 2018: 9 · 2017: 2
- FWCI
- 6.11
- Type
- journal article
- Language
- en
- Open access
- green
- zenodo.org
- Licence
- other-oa
- Locations
- Journal of Applied Physics (publishedVersion)
- HAL (submittedVersion)
- Oskar-Bordeaux (Universite de Bordeaux) (submittedVersion)
- Zenodo (CERN European Organization for Nuclear Research) (submittedVersion, other-oa)
- Funders
- Horizon 2020 (633053)
- Topics
- Physical Sciences › Engineering › Aerospace Engineering › Particle accelerators and beam dynamics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Plasma Diagnostics and Applications
- Physical Sciences › Physics and Astronomy › Nuclear and High Energy Physics › Magnetic confinement fusion research
- Keywords
- negative ion extraction, particle-in-cell Monte Carlo collision, non-thermal plasma, neutral beam injection, fusion plasma, mesh independence, numerical verification, simulation benchmarking
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