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

MPS-Authors
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Pavone,  A.
Stellarator Heating and Optimisation (E3), Max Planck Institute for Plasma Physics, Max Planck Society;

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Svensson,  J.
Stellarator Dynamics and Transport (E5), Max Planck Institute for Plasma Physics, Max Planck Society;

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Krychowiak,  M.
Stellarator Edge and Divertor Physics (E4), Max Planck Institute for Plasma Physics, Max Planck Society;

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Hergenhahn,  U.
Stellarator Edge and Divertor Physics (E4), Max Planck Institute for Plasma Physics, Max Planck Society;
External Organizations;

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Winters,  V.
Stellarator Dynamics and Transport (E5), Max Planck Institute for Plasma Physics, Max Planck Society;

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Kornejew,  P.
Stellarator Edge and Divertor Physics (E4), Max Planck Institute for Plasma Physics, Max Planck Society;

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Kwak,  S.
Stellarator Dynamics and Transport (E5), Max Planck Institute for Plasma Physics, Max Planck Society;

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Hoefel,  U.
Stellarator Heating and Optimisation (E3), Max Planck Institute for Plasma Physics, Max Planck Society;

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Koenig,  R.
Stellarator Edge and Divertor Physics (E4), Max Planck Institute for Plasma Physics, Max Planck Society;

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Wolf,  R. C.
Stellarator Heating and Optimisation (E3), Max Planck Institute for Plasma Physics, Max Planck Society;

External Resource

https://doi.org/10.1063/5.0043772
(Publisher version)

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Citation

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.


Cite as: https://hdl.handle.net/21.11116/0000-0007-F0F2-8
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