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Automatic ELM detection using gSPRT on the COMPASS tokamak

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    SYSNO ASEP0508733
    Document TypeJ - Journal Article
    R&D Document TypeJournal Article
    Subsidiary JČlánek ve WOS
    TitleAutomatic ELM detection using gSPRT on the COMPASS tokamak
    Author(s) Berta, M. (HU)
    Szutyanyi, M. (HU)
    Bencze, A. (HU)
    Hron, Martin (UFP-V) RID, ORCID
    Pánek, Radomír (UFP-V) RID
    Number of authors5
    Source TitleFusion Engineering and Design. - : Elsevier - ISSN 0920-3796
    Roč. 123, November (2017), s. 950-954
    Number of pages5 s.
    Languageeng - English
    CountryNL - Netherlands
    Keywordsedge-localized modes ; elm ; Plasma diagnostics ; COMPASS tokamak ; Automatic detection ; gsprt
    Subject RIVBL - Plasma and Gas Discharge Physics
    OECD categoryAtomic, molecular and chemical physics (physics of atoms and molecules including collision, interaction with radiation, magnetic resonances, Mössbauer effect)
    R&D ProjectsGA16-25074S GA ČR - Czech Science Foundation (CSF)
    8D15001 GA MŠMT - Ministry of Education, Youth and Sports (MEYS)
    LM2015045 GA MŠMT - Ministry of Education, Youth and Sports (MEYS)
    Method of publishingLimited access
    Institutional supportUFP-V - RVO:61389021
    UT WOS000418992000200
    EID SCOPUS85015790618
    DOI10.1016/j.fusengdes.2017.03.025
    AnnotationThis paper contains the description of the generalized Sequential Probability Ratio Test (gSPRT) method used for automatic ELM detection in different diagnostic signals collected on the COMPASS tokamak. After determination of H-mode region based on D-alpha signal in a given shot, ELMs are automatically detected in different diagnostic time traces (e.g. magnetic signals and also in D-alpha signals). The onset time, the maximum location and the peak value, and the duration of each detected ELM is determined. Analyzed diagnostic signals came from different radial positions of the studied plasma volume, thus from arrival times of given ELM into different detectors, the average radial propagation velocity of the ELM event can be also estimated. Comparison of results from gSPRT method with two different, commonly used automatic ELM detection method (threshold technique and correlation based technique) is also reported. (C) 2017 Elsevier B.V. All rights reserved.
    WorkplaceInstitute of Plasma Physics
    ContactVladimíra Kebza, kebza@ipp.cas.cz, Tel.: 266 052 975
    Year of Publishing2020
    Electronic addresshttps://www.sciencedirect.com/science/article/abs/pii/S0920379617302284?via%3Dihub
Number of the records: 1  

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