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Title: Finite grid instability and spectral fidelity of the electrostatic Particle-In-Cell algorithm

Abstract

The origin of the Finite Grid Instability (FGI) is studied by resolving the dynamics in the 1D electrostatic Particle-In-Cell (PIC) model in the spectral domain at the single particle level and at the collective motion level. The spectral fidelity of the PIC model is contrasted with the underlying physical system or the gridless model. The systematic spectral phase and amplitude errors from the charge deposition and field interpolation are quantified for common particle shapes used in the PIC models. Lastly, it is shown through such analysis and in simulations that the lack of spectral fidelity relative to the physical system due to the existence of aliased spatial modes is the major cause of the FGI in the PIC model.

Authors:
ORCiD logo [1];  [1];  [1];  [2];  [1];  [1]
  1. Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
  2. Los Alamos National Lab. (LANL), Los Alamos, NM (United States); Univ. of California, Los Angeles, CA (United States)
Publication Date:
Research Org.:
Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1258644
Alternate Identifier(s):
OSTI ID: 1396461
Report Number(s):
LA-UR-15-26028
Journal ID: ISSN 0010-4655
Grant/Contract Number:  
AC52-06NA25396
Resource Type:
Journal Article: Accepted Manuscript
Journal Name:
Computer Physics Communications
Additional Journal Information:
Journal Name: Computer Physics Communications; Journal ID: ISSN 0010-4655
Publisher:
Elsevier
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICS AND COMPUTING; 70 PLASMA PHYSICS AND FUSION TECHNOLOGY; Mathematics

Citation Formats

Huang, C. -K., Zeng, Y., Wang, Y., Meyers, M. D., Yi, S., and Albright, B. J. Finite grid instability and spectral fidelity of the electrostatic Particle-In-Cell algorithm. United States: N. p., 2016. Web. doi:10.1016/j.cpc.2016.05.021.
Huang, C. -K., Zeng, Y., Wang, Y., Meyers, M. D., Yi, S., & Albright, B. J. Finite grid instability and spectral fidelity of the electrostatic Particle-In-Cell algorithm. United States. https://doi.org/10.1016/j.cpc.2016.05.021
Huang, C. -K., Zeng, Y., Wang, Y., Meyers, M. D., Yi, S., and Albright, B. J. 2016. "Finite grid instability and spectral fidelity of the electrostatic Particle-In-Cell algorithm". United States. https://doi.org/10.1016/j.cpc.2016.05.021. https://www.osti.gov/servlets/purl/1258644.
@article{osti_1258644,
title = {Finite grid instability and spectral fidelity of the electrostatic Particle-In-Cell algorithm},
author = {Huang, C. -K. and Zeng, Y. and Wang, Y. and Meyers, M. D. and Yi, S. and Albright, B. J.},
abstractNote = {The origin of the Finite Grid Instability (FGI) is studied by resolving the dynamics in the 1D electrostatic Particle-In-Cell (PIC) model in the spectral domain at the single particle level and at the collective motion level. The spectral fidelity of the PIC model is contrasted with the underlying physical system or the gridless model. The systematic spectral phase and amplitude errors from the charge deposition and field interpolation are quantified for common particle shapes used in the PIC models. Lastly, it is shown through such analysis and in simulations that the lack of spectral fidelity relative to the physical system due to the existence of aliased spatial modes is the major cause of the FGI in the PIC model.},
doi = {10.1016/j.cpc.2016.05.021},
url = {https://www.osti.gov/biblio/1258644}, journal = {Computer Physics Communications},
issn = {0010-4655},
number = ,
volume = ,
place = {United States},
year = {Sat Oct 01 00:00:00 EDT 2016},
month = {Sat Oct 01 00:00:00 EDT 2016}
}

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Cited by: 11 works
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Works referenced in this record:

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