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Title: 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:
 [1];  [1];  [1];  [1]
  1. 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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Cited by: 19 works
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