62 citations · 140 across the 9 of their papers we have counts for
9 papers
Accelerated Bayesian inference of plasma profiles with self-consistent MHD equilibria at W7-X via neural networks
Andrea Merlo, Andrea Pavone, Daniel Böckenhoff +10
High- operations require a fast and robust inference of plasma parameters with a self-consistent MHD equilibrium. Precalculated MHD equilibria are usually employe…
Quantification of systematic errors in the electron density and temperature measured with Thomson scattering at W7-X
Philipp Nelde, Golo Fuchert, Ekkehard Pasch +9
The electron density and temperature profiles measured with Thomson scattering at the stellarator Wendelstein 7-X show features which seem to be unphysical, but so far could not be…
Proof of concept of a fast surrogate model of the VMEC code via neural networks in Wendelstein 7-X scenarios
Andrea Merlo, Daniel Böckenhoff, Jonathan Schilling +7
In magnetic confinement fusion research, the achievement of high plasma pressure is key to reaching the goal of net energy production. The magnetohydrodynamic (MHD) model is used t…
Bayesian modelling of multiple plasma diagnostics at Wendelstein 7-X
Sehyun Kwak, J. Svensson, S. Bozhenkov +7
Consistent inference of the electron density and temperature has been carried out with multiple heterogeneous plasma diagnostic data sets at Wendelstein 7-X. The predictive models…
Bayesian equilibria of axisymmetric plasmas
Sehyun Kwak, J. Svensson, O. Ford +3
We present a Bayesian method for inferring axisymmetric plasma equilibria from the magnetic field and plasma pressure measurements. The method calculates all possible solutions for…
Deep neural network Grad-Shafranov solver constrained with measured magnetic signals
Semin Joung, Jaewook Kim, Sehyun Kwak +7
A neural network solving Grad-Shafranov equation constrained with measured magnetic signals to reconstruct magnetic equilibria in real time is developed. Database created to optimi…
Bayesian with Gaussian process based missing input imputation scheme for reconstructing magnetic equilibria in real time
Semin Joung, Jaewook Kim, Sehyun Kwak +7
A Bayesian with GP(Gaussian Process)-based numerical method to impute a few missing magnetic signals caused by impaired magnetic probes during tokamak operations is developed such…
Bayesian electron density inference from JET lithium beam emission spectra using Gaussian processes
Sehyun Kwak, J. Svensson, M. Brix +1
A Bayesian model to infer edge electron density profiles is developed for the JET lithium beam emission spectroscopy system, measuring Li I line radiation using 26 channels with ~1…
Bayesian modelling of the emission spectrum of the JET Li-BES system
Sehyun Kwak, J. Svensson, M. Brix +2
A Bayesian model of the emission spectrum of the JET lithium beam has been developed to infer the intensity of the Li I (2p-2s) line radiation and associated uncertainties. The det…