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Author: Stacey, Weston M. × Author: Zhang, Dingkang × End date: 2009 × Start date: 2000 ×

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Higher Order Approximations of the TEP Method for Neutral Particle Transport in Edge Plasmas

2006 , Stacey, Weston M. , Zhang, Dingkang , Mandrekas, John

Higher order approximations, which take into account the effects of angular anisotropy, spatial non-uniformity and energy dependence of the distribution of neutral particles, have been developed and implemented to extend the range of validity of the Transmission and Escape Probabilities (TEP) method for the calculation of neutral particle transport in plasmas. Comparisons with Monte Carlo calculations of model test problems and DIII-D L- and H- mode discharges show that these new extensions significantly improve the accuracy and extend the range of validity of the TEP methodology.

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Theory, Analysis and Code Development

2003-12 , Stacey, Weston M. , Mandrekas, John , Zhang, Dingkang , Umansky, Maxim V. , Rognlien, Thomas D.

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Improvements in the 2D TEP Neutral Particle Transport Calculation in Edge Plasmas (DoE Grant ER54538)

2005-10 , Zhang, Dingkang , Mandrekas, John , Stacey, Weston M.

Extensions of the 2D Transmission and Escape Probability neutral particle transport method in treating the spatial non-uniformity of collision sources and neutral energy effects are presented. These extensions have been tested by benchmarks against Monte Carlo calculations for specially designed models and for realistic DIII-D discharges. The comparisons indicate these extensions improve accuracy of the TEP method.

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Extensions of the TEP Neutral Transport Methodology

2004-04 , Stacey, Weston M. , Zhang, Dingkang , Mandrekas, John

Recent extensions of the Transmission and Escape Probability methodology and its implementation in the 2-D neutral transport code GTNEUT are presented. These extensions address the issues of anisotropy of the neutral distribution function at the interfaces and the non-uniformity of the first collision source in short mean free path regions. Comparisons with Monte Carlo for a number of model problems are discussed.

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