Erlangen 2026 – scientific programme
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P: Fachverband Plasmaphysik
P 16: Poster Session Plasma Physics
P 16.19: Poster
Thursday, March 19, 2026, 13:45–15:45, Redoutensaal
Development of multi-diagnostic Bayesian analysis system for inference of plasma parameters in the W7-X edge — •Linnéa Björk1, Felix Reimold1, Chris Bowman2, Takashi Nishizawa3, and Gabriele Partesotti1 — 1Max Planck Institute for Plasma Physics, Greifswald, Germany — 2Culham Centre for Fusion Energy, Culham Science Centre, United Kingdom — 3Kyushu university, Kasuga, Japan
The W7-X machine is an experimental fusion device designed to study the reactor relevance of the stellarator concept. Its complex three-dimensional geometry makes it difficult to measure the full field of plasma parameters, particularly in the scrape-off layer (SOL), where plasma behaviour can be highly localized. For future reactor design it is important to understand the physics and transport mechanisms in this region. Consequently, a system for integrated Bayesian analysis is implemented for W7-X which will enable the reconstruction of key plasma parameters from a limited diagnostic coverage.
The first steps in the building of the analysis tool and its adaptation to W7-X geometry are here presented. For benchmarking of the system, inversions of bolometry data have been performed and compared to results from Gaussian Process tomography. The two methods agree well, with the full Bayesian inference scheme handling large errors better but being more computationally costly. Further results include introducing divertor spectroscopy both as constraints to the tomographic inversions and as part of the later effort to infer electron density and temperature.
Keywords: stellarator; plasma parameters; Bayesian analysis; bolometry