Application of machine learning for detecting and tracking turbulent structures in plasma fusion devices using ultra fast imaging

Abstract This study explores the application of machine learning techniques for detecting and tracking plasma filaments around the boundary of magnetically confined tokamak plasmas. Plasma filaments, also called blobs, are responsible for enhanced turbulent transport across magnetic field lines, and...

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Bibliographic Details

Published in:	Scientific Reports
Main Authors:	Sarah Chouchene, Frédéric Brochard, Mikael Desecures, Nicolas Lemoine, Jordan Cavalier
Format:	Article
Language:	English
Published:	Nature Portfolio 2024-11-01
Subjects:	Machine learning Edge turbulence Tokamaks Tracking
Online Access:	https://doi.org/10.1038/s41598-024-79251-z