Using convolutional neural networks to detect edge localized modes in DIII-D from Doppler backscattering measurements

Using convolutional neural networks to detect edge localized modes in DIII-D from Doppler backscattering measurements

In H-mode tokamak plasmas, the plasma is sometimes ejected beyond the edge transport barrier. These events are known as edge localized modes (ELMs). ELMs cause a loss of energy and damage the vessel walls. Understanding the physics of ELMs, and by extension, how to detect and mitigate them, is an im...

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Bibliographic Details
Main Authors: Teo, Nigel Qun Xuan, Hall-Chen, V. H., Barada, K., Ng, R. J. H., Gu, L., Yeoh, A. K., Pratt, Q. T., Garbet, X., Rhodes, T. L.
Other Authors: School of Physical and Mathematical Sciences
Format: Journal Article
Language:English
Published: 2024
Subjects:
Physics
Backscattering measurement
Convolutional neural network
Online Access:https://hdl.handle.net/10356/181600

Internet

https://hdl.handle.net/10356/181600

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