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Machine-learning-based correction of systematic errors in density profiles from Thomson scattering in Wendelstein 7-X

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

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Frank,  J. M.
Stellarator Heating and Optimisation (E3), Max Planck Institute for Plasma Physics, Max Planck Society;
External Organizations;

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

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Beurskens,  M. N. A.       
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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Brunner,  K. J.       
Stellarator Heating and Optimisation (E3), Max Planck Institute for Plasma Physics, Max Planck Society;

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

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引用

Fuchert, G., Frank, J. M., Pavone, A., Chen, S., Beurskens, M. N. A., Bozhenkov, S., Brunner, K. J., Hirsch, M., Pasch, E., Wolf, R. C., & W7-X Team, Max Planck Institute for Plasma Physics, Max Planck Society (2024). Machine-learning-based correction of systematic errors in density profiles from Thomson scattering in Wendelstein 7-X. Poster presented at 50th EPS Conference on Plasma Physics, Salamanca.


引用: https://hdl.handle.net/21.11116/0000-000F-93F9-2
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