21 citations · 108 across the 8 of their papers we have counts for
6 papers · 1 filter
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…
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…
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…
Evidence Cross-Validation and Bayesian Inference of MAST Plasma Equilibria
G. T. von Nessi, M. J. Hole, J. Svensson +1
In this paper, current profiles for plasma discharges on the Mega-Ampere Spherical Tokamak (MAST) are directly calculated from pickup coil, flux loop and Motional-Stark Effect (MSE…