Abstract
This paper reports the significant advancement of our ability to model and to understand how RF waves interact with the SOL plasma, by simulating the full torus 3D SOL plasma together with the antenna and core plasma. We introduce and use a recently developed and open source code, Petra-M, which was constructed on the scalable MFEM C++ finite element library, and performed 3D full wave simulations in the HHFW regime for both NSTX-U and LAPD plasmas. A first full wave simulation for a full 3D torus including a realistic antenna geometry and SOL plasma region for NSTX-U is presented. A scan of the antenna phasing shows a strong interaction between FWs and the SOL plasma for lower antenna phasing, which is consistent with previous NSTX HHFW observations. The effect of the 3D wave field on the fast ion population from NBI beams in NSTX-U is also discussed by using the 3D field obtained from the Petra-M simulations in the full-orbit following particle SPIRAL code. On LAPD, 3D full wave simulations of a new HHFW 4-strap antenna recently installed by TAE Technologies on LAPD are performed showing a qualitative agreement with experimental data.
| Original language | English |
|---|---|
| Title of host publication | 23rd Topical Conference on Radiofrequency Power in Plasmas |
| Editors | Paul T. Bonoli, Robert I. Pinsker, Xiaojie Wang |
| Publisher | American Institute of Physics Inc. |
| ISBN (Electronic) | 9780735420137 |
| DOIs | |
| State | Published - Sep 16 2020 |
| Event | 23rd Topical Conference on Radiofrequency Power in Plasmas - Hefei, China Duration: May 14 2019 → May 17 2019 |
Publication series
| Name | AIP Conference Proceedings |
|---|---|
| Volume | 2254 |
| ISSN (Print) | 0094-243X |
| ISSN (Electronic) | 1551-7616 |
Conference
| Conference | 23rd Topical Conference on Radiofrequency Power in Plasmas |
|---|---|
| Country/Territory | China |
| City | Hefei |
| Period | 05/14/19 → 05/17/19 |
Funding
The first author N. B. would like to thank Dr. M. Ono for useful discussions. This work was supported by a U.S. Department of Energy (DOE) Scientific Discovery through Advanced Computing Initiative Contract Number DESC0018090 and the U.S. DOE under DE-AC02-CH0911466. In addition, this research used resources of the National Energy Research Scientific Computing Center (NERSC), a U.S. Department of Energy Office of Science User Facility operated under Contract No. DE-AC02-05CH11231.
