Status of the Deep Learning‑Based Shattered Pellet Injection Shard Tracking at 
ASDEX Upgrade

Illerhaus, J.; Treutterer, W.; Heinrich, P.; Miah, M.; Papp, G.; Peherstorfer, T.; Sieglin, B.; Toussaint, U. von; Zohm, H.; Jenko, F.; ASDEX Upgrade Team, Max Planck Institute for Plasma Physics, Max Planck Society

doi:10.1007/s10894-024-00406-x

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Status of the Deep Learning‑Based Shattered Pellet Injection Shard Tracking at ASDEX Upgrade

MPS-Authors

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Illerhaus, J.
Tokamak Scenario Development (E1), Max Planck Institute for Plasma Physics, Max Planck Society;
External Organizations;

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

/persons/resource/persons245292

Heinrich, P.
Tokamak Scenario Development (E1), Max Planck Institute for Plasma Physics, Max Planck Society;
External Organizations;

/persons/resource/persons296457

Miah, M.
Tokamak Theory (TOK), Max Planck Institute for Plasma Physics, Max Planck Society;
External Organizations;

/persons/resource/persons132157

Papp, G.
Tokamak Theory (TOK), Max Planck Institute for Plasma Physics, Max Planck Society;

/persons/resource/persons110506

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

/persons/resource/persons110652

Toussaint, U. von
Numerical Methods in Plasma Physics (NMPP), Max Planck Institute for Plasma Physics, Max Planck Society;
External Organizations;

/persons/resource/persons110907

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

/persons/resource/persons109509

Jenko, F.
Tokamak Theory (TOK), Max Planck Institute for Plasma Physics, Max Planck Society;

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https://doi.org/10.1007/s10894-024-00406-x
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Citation

Illerhaus, J., Treutterer, W., Heinrich, P., Miah, M., Papp, G., Peherstorfer, T., et al. (2024). Status of the Deep Learning‑Based Shattered Pellet Injection Shard Tracking at ASDEX Upgrade. Journal of Fusion Energy, 43: 14. doi:10.1007/s10894-024-00406-x.

Cite as: https://hdl.handle.net/21.11116/0000-000F-46A8-5

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