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  Neural network surrogates of Bayesian diagnostic models for fast inference of plasma parameters

Pavone, A., Svensson, J., Krychowiak, M., Hergenhahn, U., Winters, V., Kornejew, P., et al. (2021). Neural network surrogates of Bayesian diagnostic models for fast inference of plasma parameters. Review of Scientific Instruments, 92: 033531. doi:10.1063/5.0043772.

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pavone_neural.pdf (Supplementary material), 4MB
 
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https://doi.org/10.1063/5.0043772 (Publisher version)
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 Creators:
Pavone, A.1, Author              
Svensson, J.2, Author              
Krychowiak, M.3, Author              
Hergenhahn, U.3, 4, Author              
Winters, V.2, Author              
Kornejew, P.3, Author              
Kwak, S.2, Author              
Hoefel, U.1, Author              
Koenig, R.3, Author              
Wolf, R. C.1, Author              
W7-X Team, Max Planck Institute for Plasma Physics, Max Planck Society, Author              
Affiliations:
1Stellarator Heating and Optimisation (E3), Max Planck Institute for Plasma Physics, Max Planck Society, ou_2040305              
2Stellarator Dynamics and Transport (E5), Max Planck Institute for Plasma Physics, Max Planck Society, ou_2040306              
3Stellarator Edge and Divertor Physics (E4), Max Planck Institute for Plasma Physics, Max Planck Society, ou_1856286              
4External Organizations, ou_persistent22              

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Language(s): eng - English
 Dates: 20202021
 Publication Status: Published online
 Pages: 5 p.
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1063/5.0043772
 Degree: -

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Project name : Euratom Research and Training Programme 2014-2018 and 2019-2020 – EUROfusion
Grant ID : 633053
Funding program : Horizon 2020 (H2020)
Funding organization : European Commission (EC)

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Title: Review of Scientific Instruments
  Abbreviation : Rev. Sci. Instrum.
Source Genre: Journal
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Publ. Info: Melville, NY : AIP Publishing
Pages: - Volume / Issue: 92 Sequence Number: 033531 Start / End Page: - Identifier: ISSN: 0034-6748
CoNE: https://pure.mpg.de/cone/journals/resource/991042742033452