Ray-tracing techniques are applied to filtered divertor imaging, a diagnostic that has long suffered from artifacts due to the polluting effect of reflected light in metal walled fusion machines. Physically realistic surface reflections were modeled using a Cook-Torrance micro-facet bi-directional reflection distribution function applied to a high resolution mesh of the vessel geometry. In the absence of gonioreflectometer measurements, a technique was developed to fit the free parameters of the Cook-Torrance model against images of the JET in-vessel light sources. By coupling this model with high fidelity plasma fluid simulations, photo-realistic renderings of a number of tokamak plasma emission scenarios were generated. Finally, a sensitivity matrix describing the optical coupling of a JET divertor camera and the emission profile of the plasma was obtained, including full reflection effects. These matrices are used to perform inversions on measured data and shown to reduce the level of artifacts in inverted emission profiles.
Physically principled reflection models applied to filtered camera imaging inversions in metal walled fusion machines
See the authors list in A. Kallenbach et al., “Overview of ASDEX Upgrade results,” Nucl. Fusion 57, 102015 (2017).
See the authors list in X. Litaudon et al., “Overview of the JET results in support to ITER,” Nucl. Fusion 57, 102001 (2017).
See the authors list in A. Kirk et al., “Overview of recent physics results from MAST,” Nucl. Fusion 57, 102007 (2017).
See the authors list in H. Meyer et al., “Overview of progress in European medium sized tokamaks towards an integrated plasma-edge/wall solution,” Nucl. Fusion 57, 102014 (2017).
M. Carr, A. Meakins, S. A. Silburn, J. Karhunen, M. Bernert, C. Bowman, A. Callarelli, P. Carvalho, C. Giroud, J. R. Harrison, S. S. Henderson, A. Huber, B. Lipschultz, T. Lunt, D. Moulton, F. Reimold, ASDEX Upgrade Team, JET Contributors, MAST-Upgrade Team, EUROfusion MST1 Team; Physically principled reflection models applied to filtered camera imaging inversions in metal walled fusion machines. Rev. Sci. Instrum. 1 April 2019; 90 (4): 043504. https://doi.org/10.1063/1.5092781
Download citation file: