Experimental identification of ion cyclotron emission on HL-2A using YOLO neural network algorithm

Experimental identification of ion cyclotron emission on HL-2A using YOLO neural network algorithm

Identification of magnetohydrodynamics (MHD) instabilities with neural networks has been extensively applied in the research of magnetically controlled fusion plasmas. Ion Cyclotron Emission (ICE) is a potential fast ion diagnostic method in burning plasmas. To assess ICE as a fast ion diagnostic fo...

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Bibliographic Details
Main Authors: Jiahao Zhang, Jun Zhao, Linzi Liu, Ruihai Tong, Wulyu Zhong, Yi Luo
Format: Article
Language:English
Published: IOP Publishing 2024-01-01
Series:Nuclear Fusion
Subjects:
neural network
deep learning
YOLO
ion cyclotron emission
tokamak
Online Access:https://doi.org/10.1088/1741-4326/ad8bdb

Internet

https://doi.org/10.1088/1741-4326/ad8bdb

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