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Showing results 1 to 7 of 7

1
Bayesian electron density inference from JET lithium beam emission spectra using Gaussian processes

Kwak, Sehyun; Svensson, J.; Brix, M.; Ghim, Young-chul, Nuclear Fusion, v.57, no.3, 2017-03

2
Bayesian inference of axisymmetric plasma equilibrium

Kwak, Sehyun; Svensson, J.; Ford, O.; Appel, L.; Ghim, Young-chul; JET Contributors, J. E. T. Contributors, NUCLEAR FUSION, v.62, no.12, 2022-12

3
Bayesian modelling of the emission spectrum of the Joint European Torus Lithium Beam Emission Spectroscopy system

Kwak, Sehyun; Svensson, Jakob; Brix, Mathias; Ghim, Young-chul; JET Contibutors, REVIEW OF SCIENTIFIC INSTRUMENTS, v.87, no.2, 2016-02

4
Bayesian modelling of Thomson scattering and multichannel interferometer diagnostics using Gaussian processes

Kwak, Sehyun; Svensson, Jakob; Bozhenkov, Sergey A; Flanagan, Joanne; Kempenaars, Mark; Boboc, Alexandru; Ghim, Young-chul, NUCLEAR FUSION, v.60, no.4, 2020-04

5
Feasibility study of direct spectra measurements for Thomson scattered signals for KSTAR fusion-grade plasmas

Park, K. -R.; Kim, K. -H.; Kwak, Sehyun; Svensson, J.; Lee, J.; Ghim, Young-chul, JOURNAL OF INSTRUMENTATION, v.12, 2017-11

6
GS-DeepNet: mastering tokamak plasma equilibria with deep neural networks and the Grad-Shafranov equation

Joung, Semin; Ghim, Young-chul; Kim, Jaewook; Kwak, Sehyun; Kwon, Daeho; Sung, C.; Kim, D.; et al, SCIENTIFIC REPORTS, v.13, no.1, 2023-09

7
Imputation of faulty magnetic sensors with coupled Bayesian and Gaussian processes to reconstruct the magnetic equilibrium in real time

Joung, Semin; Kim, Jaewook; Kwak, Sehyun; Park, Kyeo-Reh; Hahn, S. H.; Han, H. S.; Kim, H. S.; et al, REVIEW OF SCIENTIFIC INSTRUMENTS, v.89, no.10, 2018-10

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