Mainz 2022 – wissenschaftliches Programm
Bereiche | Tage | Auswahl | Suche | Aktualisierungen | Downloads | Hilfe
P: Fachverband Plasmaphysik
P 9: Poster I
P 9.21: Poster
Dienstag, 29. März 2022, 16:00–17:30, P
Bayesian Inference based Sensitivity Studies of Helium Atomic Models — •Erik Flom1, Oliver Schmitz1, Maciej Krychowiak2, Ralf König2, Stuart Loch3, and Jorge Munoz-Burgos4 — 1University of Wisconsin - Madison, Madison, WI, USA — 23Max Planck Inst. for Plasma Physics, Greifswald, Germany — 3Auburn University, Auburn, AL, USA — 4Astro Fusion Spectre, San Diego, CA, USA
Understanding the basic plasma parameters of temperature and density, as well as their gradients in the scrape-off layer (SOL), is a topic critical for providing information about the performance of a divertor concept. In order to study the performance of the Wendelstein 7-X divertor concept, an active spectroscopy system on an atomic helium beam was developed and installed on the stellarator. A complete Bayesian treatment has been undertaken with the Minerva Bayesian modeling framework in two approaches. First, it has been shown through a sensitivity study that the diagnostic method is robust against random measurement errors and systematic calibration errors on the scales achievable with the current diagnostic setup. From this, it is concluded that the majority of the uncertainty in the reconstructed temperature and density arises from systematic uncertainties in the underlying collisional-radiative model (CRM) rather than from measurement errors. To demonstrate this, in the second approach, the diagnostic model is tested by inferring the plasma density and temperature using synthetic line intensities and applying different CR models (e.g. including high Rydberg states).