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Inference of temperature and density profiles via forward modeling of an x-ray imaging crystal spectrometer within the Minerva Bayesian analysis framework

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

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

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

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

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

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

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Burhenn,  R.
Stellarator Dynamics and Transport (E5), 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;

Locator

https://doi.org/10.1063/1.5086283
(Publisher version)

Fulltext (public)

Langenberg_Inference.pdf
(Any fulltext), 4MB

Supplementary Material (public)
Citation

Langenberg, A., Svensson, J., Marchuk, O., Fuchert, G., Bozhenkov, S., Damm, H., et al. (2019). Inference of temperature and density profiles via forward modeling of an x-ray imaging crystal spectrometer within the Minerva Bayesian analysis framework. Review of Scientific Instruments, 90: 063505.


Cite as: http://hdl.handle.net/21.11116/0000-0004-59DE-F
Abstract
There is no abstract available