Tokamak edge profile analysis employing Bayesian statistics

被引：15

作者：

Dose, V ^{[1
]}

Neuhauser, J

Kurzan, B

Murmann, H

Salzmann, H

机构：

[1] Ctr Interdisciplinary Plasma Sci, Garching, Germany

[2] Max Planck Inst Plasma Phys, EURATOM Assoc, D-85748 Garching, Germany

来源：

NUCLEAR FUSION | 2001年 / 41卷 / 11期

关键词：

D O I：

10.1088/0029-5515/41/11/317

中图分类号：

O35 [流体力学]; O53 [等离子体物理学];

学科分类号：

070204 ; 080103 ; 080704 ;

摘要：

Temperature measurements in tokamak edge plasmas suffer frequently from outliers of unknown origin. Such outliers have an important unwanted influence on the estimation of parameters for edge temperature model functions in conventional least squares fits. Bayesian probability theory is applied to deal with such outliers and develop a robust procedure which performs highly satisfactorily.

引用

页码：1671 / 1685

页数：15

共 23 条

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