Deep modelling of plasma and neutral fluctuations from gas puff turbulence imaging

Mathews, A.; Terry, J. L.; Baek, S. G.; Hughes, J. W.; Kuang, A. Q.; LaBombard, B.; Miller, M. A.; Zweben, S. J.; Stotler, D.; Reiter, D.; Zholobenko, W.; Goto, M.

doi:10.7910/DVN/WLBOCQ

Title: Deep modelling of plasma and neutral fluctuations from gas puff turbulence imaging

Abstract

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 $3^3 D - 2^3 P$ transition in atomic helium. 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 upon fast camera data on the Alcator C-Mod tokamak, we present the first 2-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.

Authors:: Mathews, A.; Terry, J. L.; Baek, S. G.; Hughes, J. W.; Kuang, A. Q.; LaBombard, B.; Miller, M. A.; Zweben, S. J.; Stotler, D.; Reiter, D.; Zholobenko, W.; Goto, M.

Publication Date:: 2022-05-25

DOE Contract Number:: SC0014264; SC0014251; AC02-09CH11466

Research Org.:: Massachusetts Inst. of Technology (MIT), Cambridge, MA (United States). Plasma Science and Fusion Center; Princeton Plasma Physics Lab. (PPPL), Princeton, NJ (United States)

Sponsoring Org.:: USDOE Office of Science (SC), Fusion Energy Sciences (FES)

Subject:: 70 PLASMA PHYSICS AND FUSION TECHNOLOGY

OSTI Identifier:: 1887947

DOI:: https://doi.org/10.7910/DVN/WLBOCQ

Citation Formats


                    Mathews, A., Terry, J. L., Baek, S. G., Hughes, J. W., Kuang, A. Q., LaBombard, B., Miller, M. A., Zweben, S. J., Stotler, D., Reiter, D., Zholobenko, W., and Goto, M. Deep modelling of plasma and neutral fluctuations from gas puff turbulence imaging.  United States: N. p., 2022. 
        Web.  doi:10.7910/DVN/WLBOCQ.

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                    Mathews, A., Terry, J. L., Baek, S. G., Hughes, J. W., Kuang, A. Q., LaBombard, B., Miller, M. A., Zweben, S. J., Stotler, D., Reiter, D., Zholobenko, W., & Goto, M. Deep modelling of plasma and neutral fluctuations from gas puff turbulence imaging.  United States.  doi:https://doi.org/10.7910/DVN/WLBOCQ

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                    Mathews, A., Terry, J. L., Baek, S. G., Hughes, J. W., Kuang, A. Q., LaBombard, B., Miller, M. A., Zweben, S. J., Stotler, D., Reiter, D., Zholobenko, W., and Goto, M. 2022.  
"Deep modelling of plasma and neutral fluctuations from gas puff turbulence imaging".  United States.  doi:https://doi.org/10.7910/DVN/WLBOCQ.  https://www.osti.gov/servlets/purl/1887947. Pub date:Wed May 25 00:00:00 EDT 2022

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@article{osti_1887947,

  title        = {Deep modelling of plasma and neutral fluctuations from gas puff turbulence imaging},

  author       = {Mathews, A. and Terry, J. L. and Baek, S. G. and Hughes, J. W. and Kuang, A. Q. and LaBombard, B. and Miller, M. A. and Zweben, S. J. and Stotler, D. and Reiter, D. and Zholobenko, W. and Goto, M.},

  abstractNote = {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 $3^3 D - 2^3 P$ transition in atomic helium. 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 upon fast camera data on the Alcator C-Mod tokamak, we present the first 2-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.},

  doi          = {10.7910/DVN/WLBOCQ},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {2022},

  month        = {5}

}

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DOI: https://doi.org/10.7910/DVN/WLBOCQ

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Works referencing / citing this record:

Deep modeling of plasma and neutral fluctuations from gas puff turbulence imaging
journal, June 2022

Mathews, A.; Terry, J. L.; Baek, S. G.
Review of Scientific Instruments, Vol. 93, Issue 6
https://doi.org/10.1063/5.0088216

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Title: Deep modelling of plasma and neutral fluctuations from gas puff turbulence imaging

Abstract

Citation Formats

Deep modeling of plasma and neutral fluctuations from gas puff turbulence imaging journal, June 2022

Deep modeling of plasma and neutral fluctuations from gas puff turbulence imaging
journal, June 2022