A novel unsupervised machine learning algorithm for automatic Alfvénic activity detection in the TJ-II stellarator

A novel sparse encoding algorithm is developed to detect and study plasma instabilities automatically. This algorithm, called Elastic Random Mode Decomposition, is applied to the Mirnov coil signals of a dataset of 1291 discharges of the TJ-II stellarator, enabling the identification of the Alfvénic...

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Hlavní autoři:	E.d.D. Zapata-Cornejo, D. Zarzoso, S.D. Pinches, A. Bustos, A. Cappa, E. Ascasibar
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	IOP Publishing 2024-01-01
Edice:	Nuclear Fusion
Témata:	Alfvénic activity unsupervised learning TJ-II sparse coding elastic net Gabor atoms
On-line přístup:	https://doi.org/10.1088/1741-4326/ad85f4
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