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Journal Article

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

MPS-Authors
/persons/resource/persons109252

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

/persons/resource/persons109880

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

/persons/resource/persons109565

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

External Resource

https://doi.org/10.1088/1361-6587/aa79d8
(Publisher version)

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Gude_Automated.pdf
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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
Abstract
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