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Dimensionally constrained energy confinement analysis of W7-AS data

V. Dose, R. Preuss, W. Von Der Linden1998年被引用 5Nuclear FusionIF 3出版社

A recently assembled W7-AS stellarator database has been subject to dimensionally constrained confinement analysis. The analysis employs Bayesian inference. Dimensional information is taken from the Connor-Taylor (CT) similarity transformation theory, which provides six possible physical scenarios with associated dimensional conditions. Bayesian theory allows the calculation of the probability for each model and it is found that the present W7-AS data are most probably described by the collisionless high-β case. Probabilities for all models and the associated exponents of a power law scaling function are presented.

日本語訳

最近構築されたW7-ASステラレーターのデータベースに対して、次元拘束を受けた閉じ込め解析が適用された。この解析にはベイズ推論が用いられている。次元情報はコナー・テイラー(CT)相似変換理論から取得され、これにより付随する次元条件を伴う6つの可能な物理シナリオが得られる。ベイズ理論により各モデルの確率を計算することが可能であり、現在のW7-ASデータは無衝突高ベータの場合によって最もよく記述されることが見出された。全モデルの確率と、べき乗則スケーリング関数の関連する指数が提示される。

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Energy confinementW7-AS
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