Greifswald 2024 – scientific programme
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P: Fachverband Plasmaphysik
P 9: HEPP III
P 9.5: Talk
Tuesday, February 27, 2024, 15:40–16:05, ELP 6: HS 3
Spectroscopy based inference of impurity transport at the plasma edge in different tokamak confinement regimes — •Tabea Gleiter1, 2, Ralph Dux1, Francesco Sciortino3, Tomáš Odstrčil4, Thomas Hayward-Schneider1, Daniel Fajardo1, Ulrich Stroth1, 2, and the ASDEX Upgrade Team5 — 1Max-Planck-Institut für Plasmaphysik, Garching, Germany — 2Physik-Department E28, Technische Universität München, Garching, Germany — 3Proxima Fusion GmbH — 4General Atomics, San Diego, USA — 5Authors of U. Stroth et al. 2022 Nucl. Fusion 62 042006
We present the inference of radial impurity diffusion and convection profiles in steady state discharges. The experimental basis are customized charge exchange recombination spectroscopy (CXRS) measurements, yielding line radiances from multiple impurity charge states. A forward model based on the impurity transport solver Aurora is able to generate synthetic CXRS-data for given transport coefficients. It requires additional inputs, such as neutral beam and thermal deuterium densities, kinetic profiles and atomic rate data. This model is used for a Bayesian inverse inference of transport coefficent probabilities. Due to the complexity, the selection of suitable free parameter sets, prior distributions and data likelihoods is important.
The framework is mostly suitable for the plasma edge, i.e. where impurities are not fully ionized. Since the pedestal impurity transport in tokamaks is crucial for energy confinement and radiative power exhaust, we compare various confinement regimes at ASDEX Upgrade, including promising reactor scenarios without large ELMs.
Keywords: tokamak; impurity transport; spectroscopy; Bayesian inference; plasma edge