Bulletin of the American Physical Society
64th Annual Meeting of the APS Division of Plasma Physics
Volume 67, Number 15
Monday–Friday, October 17–21, 2022; Spokane, Washington
Session PP11: Poster Session VI: In-Person, Hall A (2:00-3:30pm) and Virtual Poster Presentations (3:45-5:00pm)
MFE: Diagnostics; Edge and Pedestal; Stability; Heating; Transport, Turbulence
ASTRO: Astrophysical Plasma
2:00 PM - 5:00 PM
Wednesday, October 19, 2022
Room: Exhibit Hall A and Online
Abstract: PP11.00059 : Multi-Diagnostic Classification of Alfvén Eigenmodes using Multimodal Machine Learning*
Presenter:
Andrew Rothstein
(Princeton University)
Authors:
Andrew Rothstein
(Princeton University)
Azarakhsh Jalalvand
(Ghent University)
Alvin V Garcia
(University of California, Irvine)
Max Austin
(University of Texas at Austin)
William W Heidbrink
(University of California, Irvine)
Egemen Kolemen
(Princeton University)
We build upon this work and show improved classification as well as prediction of this AE activity by using a multi-diagnostic model. In addition to ECE, we use cross-power CO2 Interferometry, Beam Emission Spectroscopy (BES), and other magnetic diagnostics in our model. Additionally, these diagnostics have a significant amount of noise present and require pre-processing to reduce noise in the spectrograms. We utilize a source-invariant denoising autoencoder to clean the spectrograms of all the diagnostics.
*This material is based upon work supported by the U.S. Department of Energy, Office of Science, Office of Fusion Energy Sciences, using the DIII-D National Fusion Facility, a DOE Office of Science user facility, under Award(s) DE-FC02-04ER54698, DE-SC0021275, DE-SC0020337, and Ghent University Special Research Award No. BOF19/PDO/134.
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