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Fast-ion phase-space tomography with wave-particle interactions in the ion cyclotron frequency range as prior
Tech Univ Denmark, Dept Phys, DK-2800 Lyngby, Denmark..
Chalmers Univ Technol, Dept Space Earth & Environm, SE-41296 Gothenburg, Sweden..
Uppsala University, Disciplinary Domain of Science and Technology, Physics, Department of Physics and Astronomy, Applied Nuclear Physics.ORCID iD: 0000-0002-0892-3358
Tech Univ Denmark, Dept Appl Math & Comp Sci, DK-2800 Lyngby, Denmark..
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2025 (English)In: Nuclear Fusion, ISSN 0029-5515, E-ISSN 1741-4326, Vol. 65, no 5, article id 056008Article in journal (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
Institute of Physics Publishing (IOPP), 2025. Vol. 65, no 5, article id 056008
Keywords [en]
fast ions, prior information, tomography, wave-particle interactions
National Category
Fusion, Plasma and Space Physics
Identifiers
URN: urn:nbn:se:uu:diva-554691DOI: 10.1088/1741-4326/adc400ISI: 001457738900001Scopus ID: 2-s2.0-105001868174OAI: oai:DiVA.org:uu-554691DiVA, id: diva2:1952638
Available from: 2025-04-16 Created: 2025-04-16 Last updated: 2025-04-16Bibliographically approved

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