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Title: Optimized Loading for Particle-in-cell Gyrokinetic Simulations

Abstract

The problem of particle loading in particle-in-cell gyrokinetic simulations is addressed using a quadratic optimization algorithm. Optimized loading in configuration space dramatically reduces the short wavelength modes in the electrostatic potential that are partly responsible for the non-conservation of total energy; further, the long wavelength modes are resolved with good accuracy. As a result, the conservation of energy for the optimized loading is much better that the conservation of energy for the random loading. The method is valid for any geometry and can be coupled to optimization algorithms in velocity space.

Authors:
Publication Date:
Research Org.:
Princeton Plasma Physics Lab., Princeton, NJ (US)
Sponsoring Org.:
USDOE Office of Science (SC) (US)
OSTI Identifier:
827943
Report Number(s):
PPPL-3956
TRN: US0403751
DOE Contract Number:  
AC02-76CH03073
Resource Type:
Technical Report
Resource Relation:
Other Information: PBD: 13 May 2004
Country of Publication:
United States
Language:
English
Subject:
70 PLASMA PHYSICS AND FUSION TECHNOLOGY; ACCURACY; ALGORITHMS; CONFIGURATION; ELECTROSTATICS; GEOMETRY; OPTIMIZATION; VELOCITY; WAVELENGTHS; GUIDING-CENTER APPROXIMATIONS; GYROKINETIC EQUATIONS; MATHEMATICAL PHYSICS

Citation Formats

J.L.V. Lewandowski. Optimized Loading for Particle-in-cell Gyrokinetic Simulations. United States: N. p., 2004. Web. doi:10.2172/827943.
J.L.V. Lewandowski. Optimized Loading for Particle-in-cell Gyrokinetic Simulations. United States. doi:10.2172/827943.
J.L.V. Lewandowski. Thu . "Optimized Loading for Particle-in-cell Gyrokinetic Simulations". United States. doi:10.2172/827943. https://www.osti.gov/servlets/purl/827943.
@article{osti_827943,
title = {Optimized Loading for Particle-in-cell Gyrokinetic Simulations},
author = {J.L.V. Lewandowski},
abstractNote = {The problem of particle loading in particle-in-cell gyrokinetic simulations is addressed using a quadratic optimization algorithm. Optimized loading in configuration space dramatically reduces the short wavelength modes in the electrostatic potential that are partly responsible for the non-conservation of total energy; further, the long wavelength modes are resolved with good accuracy. As a result, the conservation of energy for the optimized loading is much better that the conservation of energy for the random loading. The method is valid for any geometry and can be coupled to optimization algorithms in velocity space.},
doi = {10.2172/827943},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2004},
month = {5}
}