Topics and methods for data validation by means of Bayesian probability theory

被引：26

作者：

Dinklage, A

Fischer, R

Svensson, J

机构：

[1] EURATOM, Max Planck Inst Plasma Phys, D-17493 Greifswald, Germany

[2] Ctr Interdisciplinary Plasma Sci, D-85748 Garching, Germany

来源：

FUSION SCIENCE AND TECHNOLOGY | 2004年 / 46卷 / 02期

关键词：

fusion data validation; Bayesian probability theory; fusion diagnostics modeling;

D O I：

10.13182/FST04-A575

中图分类号：

TL [原子能技术]; O571 [原子核物理学];

学科分类号：

0827 ; 082701 ;

摘要：

Steady-state fusion devices, such as Wendelstein 7-X, require new approaches for data analysis. These efforts are motivated by both the physics and the technical requirements of steady-state operation. Diagnostic data and physics information, such as modeling results, are linked to arrive at an integrated data analysis. For this purpose, methods of Bayesian probability theory are employed. The analysis of Thomson scattering data is discussed. Capabilities for assessing diagnostic setups are outlined. Extension to more complex analyses are presented. Technical issues resulting from desired on-line capabilities are discussed.

引用

页码：355 / 364

页数：10

共 16 条

[1]

[Anonymous], PLASMA PHYS CONTROLL

[2] Methods for optimizing and assessing diagnostic capability, demonstrated for collective Thomson scattering (invited) [J].