Abstract
Main-ion charge exchange recombination spectroscopy (MICER) uses the neutral beam induced Dα spectrum to measure the local deuterium ion (D+) temperature, rotation, and density, as well as parameters related to the neutral beams, fast ions, and magnetic field. An edge MICER system consisting of 16 densely packed chords was recently installed on DIII-D, extending the MICER technique from the core to the pedestal and steep gradient region of H-mode plasmas where the D+ and commonly measured impurity ion properties can differ significantly. A combination of iterative collisional radiative modeling techniques and greatly accelerated spectral fitting allowed the extension of this diagnostic technique to the plasma edge where the steep gradients introduce significant diagnostic challenges. The importance of including the fast ion Dα emission in the fit to the spectrum for the edge system is investigated showing that it is typically not important except for cases which can have significant fast ion fractions near the plasma edge such as QH-mode. Example profiles from an Ohmic L-mode and a high power ITER baseline case show large differences in the toroidal rotation of the two species near the separatrix including a strong co-current D+ edge rotation. The measurements and analysis demonstrate the state of the art in active spectroscopy and integrated modeling for diagnosing fusion plasmas and the importance of direct main ion measurements.
| Original language | English |
|---|---|
| Article number | 10D110 |
| Journal | Review of Scientific Instruments |
| Volume | 89 |
| Issue number | 10 |
| DOIs | |
| State | Published - Oct 1 2018 |
| Externally published | Yes |
Funding
This material is based upon the work supported by the U.S. Department of Energy, Office of Science, Office of Fusion Energy Sciences, using the DIII-D National Fusion Facility, a DOE Office of Science user facility, under Grant Nos. DE-AC02-09CH11466 (Princeton University), DE-FC02-04ER54698, and DE-FC02-95ER54309 (General Atomics). Portions of the data analysis were performed using the OMFIT integrated modeling framework37 using the TRANSP38 and OMFITprofiles39 modules. DIII-D data shown in this paper can be obtained in digital format by following the links at https://fusion.gat.com/global/D3D DMP.