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

Autor: Teo NQX; Institute of High Performance Computing (IHPC), Agency for Science, Technology and Research (A*STAR), Singapore 138632.; School of Physical and Mathematical Sciences, Nanyang Technological University, Singapore 637371., Hall-Chen VH; Institute of High Performance Computing (IHPC), Agency for Science, Technology and Research (A*STAR), Singapore 138632., Barada K; Department of Physics and Astronomy, University of California, Los Angeles, California 90095, USA., Ng RJH; Institute of High Performance Computing (IHPC), Agency for Science, Technology and Research (A*STAR), Singapore 138632., Gu L; AIP, RIKEN, Tokyo 103-0027, Japan., Yeoh AK; Institute of High Performance Computing (IHPC), Agency for Science, Technology and Research (A*STAR), Singapore 138632.; Department of Physics, University of Oxford, Oxford OX1 3PU, United Kingdom., Pratt QT; Department of Physics and Astronomy, University of California, Los Angeles, California 90095, USA., Garbet X; School of Physical and Mathematical Sciences, Nanyang Technological University, Singapore 637371., Rhodes TL; Department of Physics and Astronomy, University of California, Los Angeles, California 90095, USA.

Publikováno v: The Review of scientific instruments [Rev Sci Instrum] 2024 Jul 01; Vol. 95 (7).