1. Bayesian Integrated Data Analysis of Fast-Ion Measurements by Velocity-Space Tomography
- Author
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J. Juul Rasmussen, F. Binda, Jet Contributors, Taina Kurki-Suonio, EUROfusion Mst Team, Tuomas Koskela, M. Stejner, Carlo Cazzaniga, A. S. Jacobsen, Carl Hellesen, M. Tardocchi, Benedikt Geiger, P. A. Schneider, Jacob Eriksson, V. G. Kiptily, Frank Leipold, Dmitry Moseev, S. E. Sharapov, Søren Bang Korsholm, M. Nocente, Stefan Kragh Nielsen, Mirko Salewski, Giuseppe Gorini, Salewski, M, Nocente, M, Jacobsen, A, Binda, F, Cazzaniga, C, Eriksson, J, Geiger, B, Gorini, G, Hellesen, C, Kiptily, V, Koskela, T, Korsholm, S, Kurki-Suonio, T, Leipold, F, Moseev, D, Nielsen, S, Rasmussen, J, Schneider, P, Sharapov, S, Stejner, M, Tardocchi, M, JET Contributors, N, ASDEX Upgrade Team, N, EUROfusion MST1 Team, N, JET Contributors, ASDEX Upgrade Team, Max Planck Institute for Plasma Physics, Max Planck Society, and EUROfusion MST1 Team
- Subjects
Nuclear and High Energy Physics ,Tokamak ,Fast ion ,Plasma parameters ,Bayesian probability ,Measure (physics) ,01 natural sciences ,010305 fluids & plasmas ,law.invention ,Ion ,law ,Physics::Plasma Physics ,0103 physical sciences ,Velocity space ,General Materials Science ,fast ions ,Velocity-space tomography ,010306 general physics ,Civil and Structural Engineering ,Physics ,ta114 ,Mechanical Engineering ,Fast ions ,Magnetically confined plasmas, fast ions, bayesian analysis ,Computational physics ,Nuclear Energy and Engineering ,Tomography ,Tokamaks - Abstract
Bayesian integrated data analysis combines measurements from different diagnostics to jointly measure plasma parameters of interest such as temperatures, densities, and drift velocities. Integrated data analysis of fast-ion measurements has long been hampered by the complexity of the strongly non-Maxwellian fast-ion distribution functions. This has recently been overcome by velocity-space tomography. In this method two-dimensional images of the velocity distribution functions consisting of a few hundreds or thousands of pixels are reconstructed using the available fast-ion measurements. Here we present an overview and current status of this emerging technique at the ASDEX Upgrade tokamak and the JET toamak based on fast-ion D-alpha spectroscopy, collective Thomson scattering, gamma-ray and neutron emission spectrometry, and neutral particle analyzers. We discuss Tikhonov regularization within the Bayesian framework. The implementation for different types of diagnostics as well as the uncertainties are discussed, and we highlight the importance of integrated data analysis of all available detectors.
- Published
- 2018
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