Deep modeling of plasma and neutral fluctuations from gas puff turbulence imaging
<jats:p> The role of turbulence in setting boundary plasma conditions is presently a key uncertainty in projecting to fusion energy reactors. To robustly diagnose edge turbulence, we develop and demonstrate a technique to translate brightness measurements of HeI line radiation into local plasm...
| Main Authors: | , , , , , , , , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
AIP Publishing
2022
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| Online Access: | https://hdl.handle.net/1721.1/145496 |
| _version_ | 1826209231178563584 |
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| author | Mathews, A Terry, JL Baek, SG Hughes, JW Kuang, AQ LaBombard, B Miller, MA Stotler, D Reiter, D Zholobenko, W Goto, M |
| author2 | Massachusetts Institute of Technology. Plasma Science and Fusion Center |
| author_facet | Massachusetts Institute of Technology. Plasma Science and Fusion Center Mathews, A Terry, JL Baek, SG Hughes, JW Kuang, AQ LaBombard, B Miller, MA Stotler, D Reiter, D Zholobenko, W Goto, M |
| author_sort | Mathews, A |
| collection | MIT |
| description | <jats:p> The role of turbulence in setting boundary plasma conditions is presently a key uncertainty in projecting to fusion energy reactors. To robustly diagnose edge turbulence, we develop and demonstrate a technique to translate brightness measurements of HeI line radiation into local plasma fluctuations via a novel integrated deep learning framework that combines neutral transport physics and collisional radiative theory for the 3<jats:sup>3</jats:sup> D − 2<jats:sup>3</jats:sup> P transition in atomic helium with unbounded correlation constraints between the electron density and temperature. The tenets for experimental validity are reviewed, illustrating that this turbulence analysis for ionized gases is transferable to both magnetized and unmagnetized environments with arbitrary geometries. Based on fast camera data on the Alcator C-Mod tokamak, we present the first two-dimensional time-dependent experimental measurements of the turbulent electron density, electron temperature, and neutral density, revealing shadowing effects in a fusion plasma using a single spectral line. </jats:p> |
| first_indexed | 2024-09-23T14:19:37Z |
| format | Article |
| id | mit-1721.1/145496 |
| institution | Massachusetts Institute of Technology |
| language | English |
| last_indexed | 2024-09-23T14:19:37Z |
| publishDate | 2022 |
| publisher | AIP Publishing |
| record_format | dspace |
| spelling | mit-1721.1/1454962022-09-29T08:42:36Z Deep modeling of plasma and neutral fluctuations from gas puff turbulence imaging Mathews, A Terry, JL Baek, SG Hughes, JW Kuang, AQ LaBombard, B Miller, MA Stotler, D Reiter, D Zholobenko, W Goto, M Massachusetts Institute of Technology. Plasma Science and Fusion Center <jats:p> The role of turbulence in setting boundary plasma conditions is presently a key uncertainty in projecting to fusion energy reactors. To robustly diagnose edge turbulence, we develop and demonstrate a technique to translate brightness measurements of HeI line radiation into local plasma fluctuations via a novel integrated deep learning framework that combines neutral transport physics and collisional radiative theory for the 3<jats:sup>3</jats:sup> D − 2<jats:sup>3</jats:sup> P transition in atomic helium with unbounded correlation constraints between the electron density and temperature. The tenets for experimental validity are reviewed, illustrating that this turbulence analysis for ionized gases is transferable to both magnetized and unmagnetized environments with arbitrary geometries. Based on fast camera data on the Alcator C-Mod tokamak, we present the first two-dimensional time-dependent experimental measurements of the turbulent electron density, electron temperature, and neutral density, revealing shadowing effects in a fusion plasma using a single spectral line. </jats:p> 2022-09-19T17:14:03Z 2022-09-19T17:14:03Z 2022-06-01 2022-09-19T17:08:18Z Article http://purl.org/eprint/type/JournalArticle https://hdl.handle.net/1721.1/145496 Mathews, A, Terry, JL, Baek, SG, Hughes, JW, Kuang, AQ et al. 2022. "Deep modeling of plasma and neutral fluctuations from gas puff turbulence imaging." Review of Scientific Instruments, 93 (6). en 10.1063/5.0088216 Review of Scientific Instruments Creative Commons Attribution 4.0 International license https://creativecommons.org/licenses/by/4.0/ application/pdf AIP Publishing American Institute of Physics (AIP) |
| spellingShingle | Mathews, A Terry, JL Baek, SG Hughes, JW Kuang, AQ LaBombard, B Miller, MA Stotler, D Reiter, D Zholobenko, W Goto, M Deep modeling of plasma and neutral fluctuations from gas puff turbulence imaging |
| title | Deep modeling of plasma and neutral fluctuations from gas puff turbulence imaging |
| title_full | Deep modeling of plasma and neutral fluctuations from gas puff turbulence imaging |
| title_fullStr | Deep modeling of plasma and neutral fluctuations from gas puff turbulence imaging |
| title_full_unstemmed | Deep modeling of plasma and neutral fluctuations from gas puff turbulence imaging |
| title_short | Deep modeling of plasma and neutral fluctuations from gas puff turbulence imaging |
| title_sort | deep modeling of plasma and neutral fluctuations from gas puff turbulence imaging |
| url | https://hdl.handle.net/1721.1/145496 |
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