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  Accelerated Bayesian inference of plasma profiles with self-consistent MHD equilibria at W7-X via neural networks

Merlo, A., Pavone, A., Böckenhoff, D., Pasch, E., Fuchert, G., Brunner, K. J., et al. (2023). Accelerated Bayesian inference of plasma profiles with self-consistent MHD equilibria at W7-X via neural networks. Journal of Instrumentation, 18: P11012. doi:10.1088/1748-0221/18/11/P11012.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000E-2B9D-2 Version Permalink: https://hdl.handle.net/21.11116/0000-000E-2B9E-1
Genre: Journal Article

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merlo_accelerated.pdf (Supplementary material), 2MB
 
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https://doi.org/10.1088/1748-0221/18/11/P11012 (Publisher version)
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Open Access
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 Creators:
Merlo, A.1, Author                 
Pavone, A.1, Author                 
Böckenhoff, D.1, Author                 
Pasch, E.1, Author           
Fuchert, G.1, Author                 
Brunner, K. J.1, Author                 
Rahbarnia, K.2, Author                 
Schilling, J.2, Author                 
Höfel, U.1, Author                 
Kwak, S.2, Author                 
Svensson, J.2, Author           
Pedersen, T. S.3, 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              
3External Organizations, ou_persistent22              

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Language(s): eng - English
 Dates: 20232023
 Publication Status: Published online
 Pages: 21 p.
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1088/1748-0221/18/11/P11012
 Degree: -

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Project name : Euratom Research and Training Programme 2021-2027 – EUROfusion
Grant ID : 101052200
Funding program : Horizon Europe (HE)
Funding organization : European Commission (EC)

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Title: Journal of Instrumentation
  Other : JINST
Source Genre: Journal
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Publ. Info: Bristol : IOP Publishing
Pages: - Volume / Issue: 18 Sequence Number: P11012 Start / End Page: - Identifier: ISSN: 1748-0221
CoNE: https://pure.mpg.de/cone/journals/resource/1000000000221510