Determining 1D fast-ion velocity distribution functions from ion cyclotron 
emission data using deep neural networks

Schmidt, B. S.; Salewski, M.; Reman, B.; Dendy, R. O.; Moseev, D.; Ochoukov, R.; Fasoli, A.; Baquero-Ruiz, M.; Järleblad, H.

doi:10.1063/5.0041456

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Determining 1D fast-ion velocity distribution functions from ion cyclotron emission data using deep neural networks

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Moseev, D.
Tokamak Scenario Development (E1), Max Planck Institute for Plasma Physics, Max Planck Society;
Stellarator Heating and Optimisation (E3), Max Planck Institute for Plasma Physics, Max Planck Society;

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Ochoukov, R.
Tokamak Scenario Development (E1), Max Planck Institute for Plasma Physics, Max Planck Society;

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Schmidt, B. S., Salewski, M., Reman, B., Dendy, R. O., Moseev, D., Ochoukov, R., et al. (2021). Determining 1D fast-ion velocity distribution functions from ion cyclotron emission data using deep neural networks. Journal of Applied Physics, 130: 053528. doi:10.1063/5.0041456.

Cite as: https://hdl.handle.net/21.11116/0000-0008-FC60-0

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