Adaptive particle management in a particle-in-cell code
Abstract
In particle-based plasma simulation, when dealing with source terms such as ionization, emission from boundaries, etc., the total number of particles can grow, at times, exponentially. Additionally, problems involving the spatial expansion of dynamic plasmas can result in statistical under representation of particle distributions in critical regions. Furthermore, when considering code optimization for massively parallel operation, it is useful to maintain a uniform number of particles per cell. Accordingly, we have developed an algorithm for coalescing or fissioning particles on 2D and 3D orthogonal grids that is based on a method of Assous et al. [F. Assous, T. Pougeard Dulimbert, J. Segre, J. Comput. Phys. 187 (2003) 550]. Here, we present the algorithm and describe in detail its application to particle-in-cell simulations of gas ionization/streamer formation and dynamic, expanding plasmas.
- Authors:
-
- Voss Scientific, LLC, Albuquerque, NM (United States)
- Publication Date:
- Research Org.:
- Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
- Sponsoring Org.:
- USDOE National Nuclear Security Administration (NNSA)
- OSTI Identifier:
- 1426962
- Report Number(s):
- SAND-2007-1344J
Journal ID: ISSN 0021-9991; 526770
- Grant/Contract Number:
- AC04-94AL85000
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Journal of Computational Physics
- Additional Journal Information:
- Journal Volume: 227; Journal Issue: 1; Journal ID: ISSN 0021-9991
- Publisher:
- Elsevier
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 70 PLASMA PHYSICS AND FUSION TECHNOLOGY; 97 MATHEMATICS AND COMPUTING; Numerical methods; Particle-in-cell; Plasma simulation; Gas breakdown
Citation Formats
Welch, D. R., Genoni, T. C., Clark, R. E., and Rose, D. V. Adaptive particle management in a particle-in-cell code. United States: N. p., 2007.
Web. doi:10.1016/j.jcp.2007.07.015.
Welch, D. R., Genoni, T. C., Clark, R. E., & Rose, D. V. Adaptive particle management in a particle-in-cell code. United States. doi:10.1016/j.jcp.2007.07.015.
Welch, D. R., Genoni, T. C., Clark, R. E., and Rose, D. V. Fri .
"Adaptive particle management in a particle-in-cell code". United States. doi:10.1016/j.jcp.2007.07.015. https://www.osti.gov/servlets/purl/1426962.
@article{osti_1426962,
title = {Adaptive particle management in a particle-in-cell code},
author = {Welch, D. R. and Genoni, T. C. and Clark, R. E. and Rose, D. V.},
abstractNote = {In particle-based plasma simulation, when dealing with source terms such as ionization, emission from boundaries, etc., the total number of particles can grow, at times, exponentially. Additionally, problems involving the spatial expansion of dynamic plasmas can result in statistical under representation of particle distributions in critical regions. Furthermore, when considering code optimization for massively parallel operation, it is useful to maintain a uniform number of particles per cell. Accordingly, we have developed an algorithm for coalescing or fissioning particles on 2D and 3D orthogonal grids that is based on a method of Assous et al. [F. Assous, T. Pougeard Dulimbert, J. Segre, J. Comput. Phys. 187 (2003) 550]. Here, we present the algorithm and describe in detail its application to particle-in-cell simulations of gas ionization/streamer formation and dynamic, expanding plasmas.},
doi = {10.1016/j.jcp.2007.07.015},
journal = {Journal of Computational Physics},
number = 1,
volume = 227,
place = {United States},
year = {2007},
month = {8}
}
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