Fast-ion phase-space tomography with wave-particle interactions in the ion cyclotron frequency range as prior

M. Rud; L. G. Eriksson; J. Eriksson; P. C. Hansen; O. Hyvärinen; H. Järleblad; Ye O. Kazakov; S. B. Korsholm; M. Nocente; J. Rasmussen; B. C.G. Reman; A. Snicker; A. Valentini; Y. Dong; D. Moseev; M. Salewski

doi:10.1088/1741-4326/adc400

Fast-ion phase-space tomography with wave-particle interactions in the ion cyclotron frequency range as prior

M. Rud^*
, L. G. Eriksson
, J. Eriksson
, P. C. Hansen
, O. Hyvärinen
, H. Järleblad
, Ye O. Kazakov
, S. B. Korsholm
, M. Nocente
, J. Rasmussen
, B. C.G. Reman
, A. Snicker
, A. Valentini
, Y. Dong
, D. Moseev
, M. Salewski

^*Corresponding author for this work

BA4511 Fusion energy

Technical University of Denmark (DTU)
Chalmers University of Technology
Uppsala University
University of Helsinki
École Royale Militaire
University of Milan
Max-Planck-Institut für Plasmaphysik (IPP)

Research output: Contribution to journal › Article › Scientific › peer-review

7 Citations (Scopus)

Abstract

The fast-ion distribution function in fusion plasmas can be inferred by inverting Doppler-shifted measurements from fast-ion diagnostics. The full fast-ion distribution function can be parametrised by three constants of motion with the addition of a binary index. However, with a limited number of measurements, cogent prior information must be added to regularise the inverse problem, enabling the reconstruction of the distribution function. In this paper, we demonstrate how to incorporate wave-particle interactions in the ion cyclotron range of frequencies (ICRFs) as prior information with the future ITER tokamak as a test case. We find that the addition of ICRF physics as prior information improves the reconstruction of a test ICRF-heated fast-ion distribution function in ITER using synthetic data based on the planned collective Thomson scattering sightlines and the planned gamma-ray spectroscopy sightlines. The addition of such prior information is beneficial in the case of a limited phase-space coverage of fast-ion diagnostics.

Original language	English
Article number	056008
Journal	Nuclear Fusion
Volume	65
Issue number	5
DOIs	https://doi.org/10.1088/1741-4326/adc400
Publication status	Published - 2 Apr 2025
MoE publication type	A1 Journal article-refereed

Funding

This work was supported by the Villum Synergy Grant No. VIL50096 from the Villum Foundation. This work has been carried out within the framework of the EUROfusion Consortium, funded by the European Union via the Euratom Research and Training Programme (Grant Agreement No. 101052200 — EUROfusion).

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

fast ions
prior information
tomography
wave-particle interactions

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10.1088/1741-4326/adc400Licence: CC BY

Cite this

Rud, M., Eriksson, L. G., Eriksson, J., Hansen, P. C., Hyvärinen, O., Järleblad, H., Kazakov, Y. O., Korsholm, S. B., Nocente, M., Rasmussen, J., Reman, B. C. G., Snicker, A., Valentini, A., Dong, Y., Moseev, D., & Salewski, M. (2025). Fast-ion phase-space tomography with wave-particle interactions in the ion cyclotron frequency range as prior. Nuclear Fusion, 65(5), Article 056008. https://doi.org/10.1088/1741-4326/adc400

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title = "Fast-ion phase-space tomography with wave-particle interactions in the ion cyclotron frequency range as prior",

abstract = "The fast-ion distribution function in fusion plasmas can be inferred by inverting Doppler-shifted measurements from fast-ion diagnostics. The full fast-ion distribution function can be parametrised by three constants of motion with the addition of a binary index. However, with a limited number of measurements, cogent prior information must be added to regularise the inverse problem, enabling the reconstruction of the distribution function. In this paper, we demonstrate how to incorporate wave-particle interactions in the ion cyclotron range of frequencies (ICRFs) as prior information with the future ITER tokamak as a test case. We find that the addition of ICRF physics as prior information improves the reconstruction of a test ICRF-heated fast-ion distribution function in ITER using synthetic data based on the planned collective Thomson scattering sightlines and the planned gamma-ray spectroscopy sightlines. The addition of such prior information is beneficial in the case of a limited phase-space coverage of fast-ion diagnostics.",

keywords = "fast ions, prior information, tomography, wave-particle interactions",

author = "M. Rud and Eriksson, \{L. G.\} and J. Eriksson and Hansen, \{P. C.\} and O. Hyv{\"a}rinen and H. J{\"a}rleblad and Kazakov, \{Ye O.\} and Korsholm, \{S. B.\} and M. Nocente and J. Rasmussen and Reman, \{B. C.G.\} and A. Snicker and A. Valentini and Y. Dong and D. Moseev and M. Salewski",

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Rud, M, Eriksson, LG, Eriksson, J, Hansen, PC, Hyvärinen, O, Järleblad, H, Kazakov, YO, Korsholm, SB, Nocente, M, Rasmussen, J, Reman, BCG, Snicker, A, Valentini, A, Dong, Y, Moseev, D & Salewski, M 2025, 'Fast-ion phase-space tomography with wave-particle interactions in the ion cyclotron frequency range as prior', Nuclear Fusion, vol. 65, no. 5, 056008. https://doi.org/10.1088/1741-4326/adc400

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T1 - Fast-ion phase-space tomography with wave-particle interactions in the ion cyclotron frequency range as prior

AU - Rud, M.

AU - Eriksson, L. G.

AU - Eriksson, J.

AU - Hansen, P. C.

AU - Hyvärinen, O.

AU - Järleblad, H.

AU - Kazakov, Ye O.

AU - Korsholm, S. B.

AU - Nocente, M.

AU - Rasmussen, J.

AU - Reman, B. C.G.

AU - Snicker, A.

AU - Valentini, A.

AU - Dong, Y.

AU - Moseev, D.

AU - Salewski, M.

PY - 2025/4/2

Y1 - 2025/4/2

N2 - The fast-ion distribution function in fusion plasmas can be inferred by inverting Doppler-shifted measurements from fast-ion diagnostics. The full fast-ion distribution function can be parametrised by three constants of motion with the addition of a binary index. However, with a limited number of measurements, cogent prior information must be added to regularise the inverse problem, enabling the reconstruction of the distribution function. In this paper, we demonstrate how to incorporate wave-particle interactions in the ion cyclotron range of frequencies (ICRFs) as prior information with the future ITER tokamak as a test case. We find that the addition of ICRF physics as prior information improves the reconstruction of a test ICRF-heated fast-ion distribution function in ITER using synthetic data based on the planned collective Thomson scattering sightlines and the planned gamma-ray spectroscopy sightlines. The addition of such prior information is beneficial in the case of a limited phase-space coverage of fast-ion diagnostics.

AB - The fast-ion distribution function in fusion plasmas can be inferred by inverting Doppler-shifted measurements from fast-ion diagnostics. The full fast-ion distribution function can be parametrised by three constants of motion with the addition of a binary index. However, with a limited number of measurements, cogent prior information must be added to regularise the inverse problem, enabling the reconstruction of the distribution function. In this paper, we demonstrate how to incorporate wave-particle interactions in the ion cyclotron range of frequencies (ICRFs) as prior information with the future ITER tokamak as a test case. We find that the addition of ICRF physics as prior information improves the reconstruction of a test ICRF-heated fast-ion distribution function in ITER using synthetic data based on the planned collective Thomson scattering sightlines and the planned gamma-ray spectroscopy sightlines. The addition of such prior information is beneficial in the case of a limited phase-space coverage of fast-ion diagnostics.

KW - fast ions

KW - prior information

KW - tomography

KW - wave-particle interactions

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DO - 10.1088/1741-4326/adc400

M3 - Article

AN - SCOPUS:105001868174

SN - 0029-5515

VL - 65

JO - Nuclear Fusion

JF - Nuclear Fusion

IS - 5

M1 - 056008

ER -

Fast-ion phase-space tomography with wave-particle interactions in the ion cyclotron frequency range as prior

Abstract

Funding

UN SDGs

Keywords

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