论文信息 - Topics and Methods for Data Validation by Means of Bayesian Probability Theory

Topics and Methods for Data Validation by Means of Bayesian Probability Theory

Abstract 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.

[1] A. Dinklage,et al. Institute of Physics Publishing Plasma Physics and Controlled Fusion Bayesian Modelling of Fusion Diagnostics , 2022 .

[2] M. L. Walker,et al. Real-time control of DIII–D plasma discharges using a Linux alpha computing cluster , 2001 .

[3] Olivier Sauter,et al. Integrated scenario in JET using real-time profile control , 2003 .

[4] Volker Dose,et al. Dimensionally Exact Energy Confinement Scaling in W7-AS , 1998 .

[5] L. Giannone,et al. Physics optimization of stellarators , 1992 .

[6] Genetic algorithms in plasma diagnostic analysis , 2000 .

[7] A. Dinklage,et al. Thomson scattering analysis with the Bayesian probability theory , 2002 .

[8] H. Bindslev. Methods for optimizing and assessing diagnostic capability, demonstrated for collective Thomson scattering (invited) , 1999 .

[9] Patrick J. McCarthy,et al. Pressure profile recovery on W7-AS with idealized external magnetic measurements using function parametrization , 2000 .

[10] In Arab Republic. PLASMA PHYSICS AND CONTROLLED NUCLEAR FUSION RESEARCH , 1987 .

[11] John Skilling,et al. Data analysis : a Bayesian tutorial , 1996 .