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  Machine learning for the interpretation of the main ion charge exchange recombination spectra at the ASDEX Upgrade tokamak

Selemon, D., Cano-Megias, P., Viezzer, E., Jansen van Vuuren, A., McDermott, R. M., Kappatou, A., et al. (2022). Machine learning for the interpretation of the main ion charge exchange recombination spectra at the ASDEX Upgrade tokamak. Poster presented at 24th Topical Conference on High Temperature Plasma Diagnostics (HTPD 2022), Rochester, NY.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000A-872E-B Version Permalink: https://hdl.handle.net/21.11116/0000-000A-872F-A
Genre: Poster

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 Creators:
Selemon, D.1, Author
Cano-Megias, P.1, Author
Viezzer, E.1, Author
Jansen van Vuuren, A.1, Author
McDermott, R. M.2, Author           
Kappatou, A.3, Author           
Piron, L.1, Author
ASDEX Upgrade Team, Max Planck Institute for Plasma Physics, Max Planck Society, Author              
Affiliations:
1External Organizations, ou_persistent22              
2Plasma Edge and Wall (E2M), Max Planck Institute for Plasma Physics, Max Planck Society, ou_1856327              
3Tokamak Scenario Development (E1), Max Planck Institute for Plasma Physics, Max Planck Society, ou_1856321              

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Language(s): eng - English
 Dates: 2022
 Publication Status: Submitted
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: -
 Degree: -

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Title: 24th Topical Conference on High Temperature Plasma Diagnostics (HTPD 2022)
Place of Event: Rochester, NY
Start-/End Date: 2022-05-15 - 2022-05-19

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