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  Bayesian uncertainty calculation in neural network inference of ion and electron temperature profiles at W7-X

Pavone, A., Svensson, J., Langenberg, A., Pablant, N., Hoefel, U., Kwak, S., et al. (2018). Bayesian uncertainty calculation in neural network inference of ion and electron temperature profiles at W7-X. Review of Scientific Instruments, 89: 10K102. doi:10.1063/1.5039286.

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pavone_bayesian.pdf (Supplementary material), 982KB
 
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https://doi.org/10.1063/1.5039286 (Publisher version)
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 Creators:
Pavone, A.1, Author           
Svensson, J.2, Author           
Langenberg, A.1, Author           
Pablant, N.3, Author
Hoefel, U.1, Author           
Kwak, S.2, 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              
3External Organizations, ou_persistent22              

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Free keywords: Konferenzbeitrag
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Language(s): eng - English
 Dates: 20182018
 Publication Status: Issued
 Pages: 5 p.
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 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1063/1.5039286
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Title: Review of Scientific Instruments
  Subtitle : 22nd Topical Conference on High Temperature Plasma Diagnostics (HTPD 2018), San Diego, CA, 2018-04-16 to 2018-04-19
Source Genre: Journal
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Publ. Info: Melville, NY : AIP Publishing
Pages: - Volume / Issue: 89 Sequence Number: 10K102 Start / End Page: - Identifier: ISSN: 0034-6748
CoNE: https://pure.mpg.de/cone/journals/resource/991042742033452