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  Probabilistic Inference of Surface Heat Flux Densities from Infrared Thermography

Nille, D., Toussaint, U. v., Sieglin, B., & ASDEX Upgrade Team, Max Planck Institute for Plasma Physics, Max Planck Society (2018). Probabilistic Inference of Surface Heat Flux Densities from Infrared Thermography. In A. Polpo, J. Stern, F. Louzada, R. Izbicki, & H. Takada (Eds.), Bayesian Inference and Maximum Entropy Methods in Science and Engineering (pp. 55-64). Cham: Springer.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0001-D54C-A Version Permalink: https://hdl.handle.net/21.11116/0000-0003-8DB3-4
Genre: Conference Paper

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nille_probabilistic.pdf (Supplementary material), 481KB
 
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https://doi.org/10.1007/978-3-319-91143-4_6 (Publisher version)
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 Creators:
Nille, D.1, Author           
Toussaint, U. von1, Author           
Sieglin, B.2, Author           
ASDEX Upgrade Team, Max Planck Institute for Plasma Physics, Max Planck Society, Author              
Affiliations:
1Numerical Methods in Plasma Physics (NMPP), Max Planck Institute for Plasma Physics, Max Planck Society, ou_1856344              
2Tokamak Scenario Development (E1), Max Planck Institute for Plasma Physics, Max Planck Society, ou_1856321              

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Language(s): eng - English
 Dates: 20172018
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1007/978-3-319-91143-4_6
 Degree: -

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Title: 37th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering (MaxEnt 2017)
Place of Event: Jarinu
Start-/End Date: 2017-07-09 - 2017-07-14

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Title: Bayesian Inference and Maximum Entropy Methods in Science and Engineering
Source Genre: Proceedings
 Creator(s):
Polpo, A.1, Editor
Stern, J.1, Editor
Louzada, F.1, Editor
Izbicki, R.1, Editor
Takada, H.1, Editor
Affiliations:
1 External Organizations, ou_persistent22            
Publ. Info: Cham : Springer
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 55 - 64 Identifier: ISBN: 978-3-319-91142-7 (Print)
ISBN: 978-3-319-91143-4 (Online)

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Title: Springer Proceedings in Mathematics & Statistics (PROMS)
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Pages: - Volume / Issue: 239 Sequence Number: - Start / End Page: - Identifier: -