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An automated sawtooth detection algorithm for strongly varying plasma conditions and crash characteristics

MPS-Authors
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Gude,  A.
Tokamak Scenario Development (E1), Max Planck Institute for Plasma Physics, Max Planck Society;

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

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Kardaun,  O.
Tokamak Theory (TOK), Max Planck Institute for Plasma Physics, Max Planck Society;

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Citation

Gude, A., Maraschek, M., Kardaun, O., & ASDEX Upgrade Team, Max Planck Institute for Plasma Physics, Max Planck Society (2017). An automated sawtooth detection algorithm for strongly varying plasma conditions and crash characteristics. Plasma Physics and Controlled Fusion, 59: 095009. doi:10.1088/1361-6587/aa79d8.


Cite as: https://hdl.handle.net/11858/00-001M-0000-002D-A64F-2
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