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Impurity transport study based on measurement of visible wavelength high-n charge exchange transitions at W7-X

W7-X Team 1; Swee, Colin; Geiger, Benedikt; Ford, Oliver; Nornberg, Mark; O’Mullane, Martin; Poloskei, Peter; Reimold, Felix; Romba, Thilo; Wegner, Thomas
1 Institut für Hochleistungsimpuls- und Mikrowellentechnik (IHM), Karlsruher Institut für Technologie (KIT)

Abstract (englisch):

A recently installed high-speed charge exchange diagnostic at the W7-X stellarator has been used to identify several high-n Rydberg emission lines near 500 nm following impurity injections. The wavelengths of observed high-n Rydberg transitions are independent of the impurity species and originate from ions with ionization states ranging from 14+ to 45+ suggesting that this approach can be applied to a variety of heavy impurities. Moreover, little to no passive signal is observed since the high-n energy levels are unlikely to be populated by electron impact excitation. The combination of the newly developed diagnostic and the observation of high-n Rydberg states provides spatially resolved, high-speed measurements of multiple charge states which are analyzed in a Bayesian inference framework to determine both impurity diffusion and convection profiles. Measurements from the 2023 experimental campaign conclusively show high diffusion and an inward pinch in the core, well above predictions by neoclassical theory.


Verlagsausgabe §
DOI: 10.5445/IR/1000172526
Veröffentlicht am 15.07.2024
Originalveröffentlichung
DOI: 10.1088/1741-4326/ad5aad
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Hochleistungsimpuls- und Mikrowellentechnik (IHM)
Publikationstyp Zeitschriftenaufsatz
Publikationsmonat/-jahr 08.2024
Sprache Englisch
Identifikator ISSN: 0029-5515, 1741-4326
KITopen-ID: 1000172526
HGF-Programm 31.13.02 (POF IV, LK 01) Plasma Heating & Current Drive Systems
Erschienen in Nuclear Fusion
Verlag International Atomic Energy Agency (IAEA)
Band 64
Heft 8
Seiten Article no: 086062
Projektinformation EUROfusion (EU, EU 9. RP, 101052200)
Vorab online veröffentlicht am 11.07.2024
Schlagwörter impurity transport, laser blow off, pySTRAHL, pyFIDASIM, CXRS, Bayesian inference, W7-X
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