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

• 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: Article
• Language: English
• Published: 2024
• Subjects: Physics; Backscattering measurement; Convolutional neural network
• Online Access: https://hdl.handle.net/10356/181600
• Institution: Nanyang Technological University

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...