Expanding the role of impurity spectroscopy for investigating the physics of high-Z dissipative divertors

• Published in: Nuclear materials and energy Vol. 12; pp. 91 - 99
• Main Authors: Reinke, M.L., Meigs, A., Delabie, E., Mumgaard, R., Reimold, F., Potzel, S., Bernert, M., Brunner, D., Canik, J., Cavedon, M., Coffey, I., Edlund, E., Harrison, J., LaBombard, B., Lawson, K., Lomanowski, B., Lore, J., Stamp, M., Terry, J., Viezzer, E.
• Format: Journal Article
• Language: English
• Published: United States Elsevier Ltd 01.08.2017; Elsevier
• Subjects: 70 PLASMA PHYSICS AND FUSION TECHNOLOGY
• ISSN: 2352-1791; 2352-1791
• DOI: 10.1016/j.nme.2016.12.003

New techniques that attempt to more fully exploit spectroscopic diagnostics in the divertor and pedestal region during highly dissipative scenarios are demonstrated using experimental results from recent low-Z seeding experiments on Alcator C-Mod, JET and ASDEX Upgrade. To exhaust power at high parallel heat flux, q∥ > 1 GW/m2, while minimizing erosion, reactors with solid, high-Z plasma facing components (PFCs) are expected to use extrinsic impurity seeding. Due to transport and atomic physics processes which impact impurity ionization balance, so-called ‘non-coronal’ effects, we do not accurately know and have yet to demonstrate the maximum q∥ which can be mitigated in a tokamak. Radiation enhancement for nitrogen is shown to arise primarily from changes in Li- and Be-like charge states on open field lines, but also through transport-driven enhancement of H- and He-like charge states in the pedestal region. Measurements are presented from nitrogen seeded H-mode and L-mode plasmas where emission from N1+ through N6+ are observed. Active charge exchange spectroscopy of partially ionized low-Z impurities in the plasma edge is explored to measure N5+ and N6+ within the confined plasma, while passive UV and visible spectroscopy is used to measure N1+-N4+ in the boundary. Examples from recent JET and Alcator C-Mod experiments which employ nitrogen seeding highlight how improving spectroscopic coverage can be used to gain empirical insight and provide more data to validate boundary simulations.