Inversion of the fast ion 1D velocity distribution from collective Thomson scattering spectra with machine learning methods-Reference-Cited by-同舟云学术

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Inversion of the fast ion 1D velocity distribution from collective Thomson scattering spectra with machine learning methods

Published:2024-05-17 Issue: Volume: Page:1422-1426
ISSN:
Container-title:2024 3rd International Conference on Energy, Power and Electrical Technology (ICEPET)
language:
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Author:

Huang Yuting¹,Xia Donghui¹,Zhang Feng²,Huang Mei²

Affiliation:

1. Huazhong University of Science and Technology,International Joint Research Laboratory of Magnetic Confinement Fusion and Plasma Physics,State Key Laboratory of Advanced Electromagnetic Technology,Wuhan,China

2. Southwestern Institute of Physics,Chengdu,China,610041

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10625771/10625773/10626918.pdf?arnumber=10626918

Reference15 articles.

1. Advances in physics and applications of 3D magnetic perturbations on the J-TEXT tokamak

2. Comparison of collective Thomson scattering signals due to fast ions in ITER scenarios with fusion and auxiliary heating

3. Fast-ion dynamics at ITER-relevant densities in ASDEX Upgrade measured with collective Thomson scattering: 48th EPS Conference on Plasma Physics;Rasmussen

4. Fast-Ion Velocity Distributions in JET Measured by Collective Thomson Scattering

5. Development of a 105 GHz fast ion collective Thomson scattering diagnostic on HL-2A tokamak

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