Particle conservation in numerical models of the tokamak plasma edge

The test particle Monte-Carlo models for neutral particles are often used in the tokamak edge modelling codes. The drawback of this approach is that the self-consistent solution suffers from random error introduced by the statistical method. A particular case where the onset of nonphysical solutions...

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Bibliographic Details
Published in:arXiv.org 2017-04
Main Author: Kotov, Vladislav
Format: Article
Language:English
Subjects:
Algorithms
Computer simulation
Error reduction
Mathematical models
Monte Carlo simulation
Neutral particles
Random errors
Tokamak devices
Online Access:Get full text
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Summary:The test particle Monte-Carlo models for neutral particles are often used in the tokamak edge modelling codes. The drawback of this approach is that the self-consistent solution suffers from random error introduced by the statistical method. A particular case where the onset of nonphysical solutions can be clearly identified is violation of the global particle balance due to non-converged residuals. There are techniques which can reduce the residuals - such as internal iterations in the code B2-EIRENE - but they may pose severe restrictions on the time-step and slow down the computations. Numerical diagnostics described in the paper can be used to unambiguously identify when the too large error in the global particle balance is due to finite-volume residuals, and their reduction is absolutely necessary. Algorithms which reduce the error while allowing large time-step are also discussed.
ISSN:2331-8422
DOI:10.48550/arxiv.1703.03733