open access publication

Article, 2024

Tomographic reconstructions of the fast-ion phase space using imaging neutral particle analyser measurements

Plasma Physics and Controlled Fusion, ISSN 0741-3335, Volume 66, 6, 10.1088/1361-6587/ad4486

Contributors

Rueda-Rueda J. 0000-0002-4535-326X (Corresponding author) [1] Garcia-Munoz M. 0000-0002-3241-502X [1] Viezzer E. 0000-0001-6419-6848 [1] Schneider P.A. 0000-0001-7257-3412 [2] Oyola P. 0000-0002-8455-1090 [1] Galdon-Quiroga J. 0000-0002-7415-1894 [1] Salewski M. 0000-0002-3699-679X [3] Schmidt B.S. 0000-0001-5302-9489 [3] Garcia-Dominguez J. 0000-0002-3903-0560 [1]

Affiliations

  1. [1] Universidad de Sevilla
  2. [NORA names: Spain; Europe, EU; OECD];
  3. [2] Max-Planck-Institut für Plasmaphysik
  4. [NORA names: Germany; Europe, EU; OECD];
  5. [3] Technical University of Denmark
  6. [NORA names: DTU Technical University of Denmark; University; Denmark; Europe, EU; Nordic; OECD]

Abstract

In this paper we demonstrate how the inversion, in energy and major radius (E, R) coordinates, of imaging neutral particle analyser (INPA) measurements can be used to obtain the fast-ion distribution. The INPA is most sensitive to passing ions with energies in the range (20-150) keV and pitches near 0.5 in the core and 0.7 near the plasma edge. Inversion of synthetic signals, via 0th-order Tikhonov and Elastic Net regularization, were performed to demonstrate the capability of recovering the ground truth fast-ion 2D phase-space distribution resolved in major radius and energy, even in the presence of moderate noise levels (10%). Finally, we apply our method to measure the 2D phase-space distribution in an MHD quiescent plasma at ASDEX Upgrade and find good agreement with the slowing down fast-ion distribution predicted by TRANSP.

Keywords

fast-ion diagnosis, neutral particle analyser, scintillator diagnostics, tomographic inversions

Funders

  • European Commission
  • Horizon 2020 Framework Programme
  • Ministry of Science, Innovation and Universities
  • European Research Council

Data Provider: Elsevier