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Minimum Fisher Tikhonov Regularization Adapted to Real-Time Tomography

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    SYSNO ASEP0462313
    Document TypeJ - Journal Article
    R&D Document TypeJournal Article
    Subsidiary JČlánek ve WOS
    TitleMinimum Fisher Tikhonov Regularization Adapted to Real-Time Tomography
    Author(s) Löffelmann, Viktor (UFP-V)
    Mlynář, Jan (UFP-V) RID
    Imríšek, Martin (UFP-V) RID
    Mazon, D. (FR)
    Jardin, A. (FR)
    Weinzettl, Vladimír (UFP-V) RID, ORCID
    Hron, Martin (UFP-V) RID, ORCID
    Source TitleFusion Science and Technology. - : Taylor & Francis - ISSN 1536-1055
    Roč. 69, č. 2 (2016), s. 505-513
    Number of pages9 s.
    Publication formPrint - P
    Languageeng - English
    CountryUS - United States
    Keywordstokamak ; tomography ; real - time
    Subject RIVBL - Plasma and Gas Discharge Physics
    R&D ProjectsLG14002 GA MŠMT - Ministry of Education, Youth and Sports (MEYS)
    LM2011021 GA MŠMT - Ministry of Education, Youth and Sports (MEYS)
    Institutional supportUFP-V - RVO:61389021
    UT WOS000373599700004
    EID SCOPUS84962727672
    DOI10.13182/FST15-180
    AnnotationTomography inversion has been used routinely for processing outputs of plasma radiation diagnostics. Various tomographic algorithms have been developed, with those based on Tikhonov regularization being among the fastest while still providing reliable results. This paper presents a further speed optimization of the minimum Fisher Tikhonov regularization algorithm based on reducing iteration cycles used during the calculation. Ten to twentyfold speed gain is achieved compared to the original implementation. Robustness of the new method is demonstrated using both artificially generated data sets and real data from the soft X-ray diagnostics at the COMPASS tokamak. The advantage gained by the optimization is investigated in particular with respect to the possibility of real-time control of the plasma position; the option of impurity control is also discussed.
    WorkplaceInstitute of Plasma Physics
    ContactVladimíra Kebza, kebza@ipp.cas.cz, Tel.: 266 052 975
    Year of Publishing2017
Number of the records: 1  

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