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; Kwak, S; Hoefel, U; Koenig, R; Wolf, R C

Pavone, A; Svensson, J; Krychowiak, M; Hergenhahn, U; Winters, V; Kornejew, P; Kwak, S; Hoefel, U; Koenig, R; Wolf, R C.

Afiliación

Pavone A; Max-Planck-Institute for Plasma Physics, Greifswald 17491, Germany.
Svensson J; Max-Planck-Institute for Plasma Physics, Greifswald 17491, Germany.
Krychowiak M; Max-Planck-Institute for Plasma Physics, Greifswald 17491, Germany.
Hergenhahn U; Max-Planck-Institute for Plasma Physics, Greifswald 17491, Germany.
Winters V; Max-Planck-Institute for Plasma Physics, Greifswald 17491, Germany.
Kornejew P; Max-Planck-Institute for Plasma Physics, Greifswald 17491, Germany.
Kwak S; Max-Planck-Institute for Plasma Physics, Greifswald 17491, Germany.
Hoefel U; Max-Planck-Institute for Plasma Physics, Greifswald 17491, Germany.
Koenig R; Max-Planck-Institute for Plasma Physics, Greifswald 17491, Germany.
Wolf RC; Max-Planck-Institute for Plasma Physics, Greifswald 17491, Germany.

Rev Sci Instrum ; 92(3): 033531, 2021 Mar 01.

Article en En | MEDLINE | ID: mdl-33820062

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies Idioma: En Revista: Rev Sci Instrum Año: 2021 Tipo del documento: Article País de afiliación: Alemania Pais de publicación: Estados Unidos

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