Nuclear Fusion (Jan 2023)

4D and 5D phase-space tomography using slowing-down physics regularization

  • B.S. Schmidt,
  • M. Salewski,
  • D. Moseev,
  • M. Baquero-Ruiz,
  • P.C. Hansen,
  • J. Eriksson,
  • O. Ford,
  • G. Gorini,
  • H. Järleblad,
  • Ye O. Kazakov,
  • D. Kulla,
  • S. Lazerson,
  • J.E. Mencke,
  • D. Mykytchuk,
  • M. Nocente,
  • P. Poloskei,
  • M. Rud,
  • A. Snicker,
  • L. Stagner,
  • S. Äkäslompolo,
  • the W7-X Team

DOI
https://doi.org/10.1088/1741-4326/acd6a6
Journal volume & issue
Vol. 63, no. 7
p. 076016

Abstract

Read online

We compute reconstructions of 4D and 5D fast-ion phase-space distribution functions in fusion plasmas from synthetic projections of these functions. The fast-ion phase-space distribution functions originating from neutral beam injection (NBI) at TCV and Wendelstein 7-X (W7-X) at full, half, and one-third injection energies can be distinguished and particle densities of each component inferred based on 20 synthetic spectra of projected velocities at TCV and 680 at W7-X. Further, we demonstrate that an expansion into a basis of slowing-down distribution functions is equivalent to regularization using slowing-down physics as prior information. Using this technique in a Tikhonov formulation, we infer the particle density fractions for each NBI energy for each NBI beam from synthetic measurements, resulting in six unknowns at TCV and 24 unknowns at W7-X. Additionally, we show that installing 40 LOS in each of 17 ports at W7-X, providing full beam coverage and almost full angle coverage, produces the highest quality reconstructions.

Keywords