Search results

Poster (19)

61.
Poster
Pablant, N. A.; Langenberg, A.; Alonso, A.; Bitter, M.; Bozhenkov, S.; Burhenn, R.; Delgado-Aparicio, L.; Fuchert, G.; Gates, D.; Hill, K. W. et al.; Höfel, U.; Hirsch, M.; Kring, J.; Marchuk, O.; Mardenfeld, M.; Pasch, E.; Pavone, A.; Reinke, M.; Scott, E.; Svensson, J.; Traverso, P.; Weir, G.; Wegner, T.; W7-X Team, Max Planck Institute for Plasma Physics, Max Planck Society: Validation of electron temperature profiles on W7-X as measured using a x-ray imaging crystal spectrometer. 22nd Topical Conference on High Temperature Plasma Diagnostics (HTPD 2018), San Diego, CA (submitted)
62.
Poster
Pavone, A.; Svensson, J.; Langenberg, A.; Pablant, N.; Höfel, U.; Kwak, S.; Wolf, R. C.; W7-X Team, Max Planck Institute for Plasma Physics, Max Planck Society: Bayesian uncertainty calculation in neural network inference of ion and electron temperature profiles at W7-X. 22nd Topical Conference on High Temperature Plasma Diagnostics (HTPD 2018), San Diego, CA (submitted)
63.
Poster
Flom, E.; Leonard, P.; Hoeffel, U.; Kwak, S.; Pavone, A.; Svensson, J.; Krychowiak, M.; W7-X Team, Max Planck Institute for Plasma Physics, Max Planck Society: An Illustrative Guide to the Minerva Framework. 59th Annual Meeting of the APS Division of Plasma Physics, Milwaukee, WI (2017)
64.
Poster
Pavone, A.; Svensson, J.; Langenberg, A.; Pablant, N.; Wolf, R. C.; W7-X Team, Max Planck Institute for Plasma Physics, Max Planck Society: Minerva neural network based surrogate models for real time inference of ion temperature profiles at Wendelstein 7-X. 82. Jahrestagung der DPG und DPG-Frühjahrstagung der Sektion AMOP, Erlangen (submitted)
65.
Poster
Abramovic, I.; Pavone, A.; Svensson, J.; Moseev, D.; Salewski, M.; Lopes Cardozo, N.; Laqua, H. P.; Wolf, R.: Bayesian comparison of the electrostatic and the electromagnetic models of collective Thomson scattering. 2nd European Conference on Plasma Diagnostics (ECPD 2017), Bordeaux (submitted)
66.
Poster
Pavone, A.; Svensson, J.; Langenberg, A.: Inference of plasma parameters from an X-ray imaging diagnostic using neural networks. DPG-Frühjahrstagung der Sektion Materie und Kosmos (SMuK), Bremen (submitted)
Go to Editor View