Počet záznamů: 1  

Tomotok: Python package for tomography of tokamak plasma radiation

  1. 1.
    SYSNO ASEP0555264
    Druh ASEPJ - Článek v odborném periodiku
    Zařazení RIVJ - Článek v odborném periodiku
    Poddruh JČlánek ve WOS
    NázevTomotok: Python package for tomography of tokamak plasma radiation
    Tvůrce(i) Svoboda, Jakub (UFP-V)
    Cavalier, Jordan (UFP-V) RID, ORCID
    Ficker, Ondřej (UFP-V) ORCID
    Imríšek, Martin (UFP-V) RID
    Mlynář, Jan (UFP-V) RID
    Hron, Martin (UFP-V) RID, ORCID
    Celkový počet autorů6
    Číslo článkuC12015
    Zdroj.dok.Journal of Instrumentation. - : Institute of Physics Publishing - ISSN 1748-0221
    Roč. 16, č. 12 (2021)
    Poč.str.9 s.
    Jazyk dok.eng - angličtina
    Země vyd.GB - Velká Británie
    Klíč. slovaData processing methods ; Plasma diagnostics interferometry, spectroscopy and imaging
    Vědní obor RIVJC - Počítačový hardware a software
    Obor OECDComputer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
    CEPEF16_019/0000768 GA MŠMT - Ministerstvo školství, mládeže a tělovýchovy
    Způsob publikováníOmezený přístup
    Institucionální podporaUFP-V - RVO:61389021
    UT WOS000758055400016
    EID SCOPUS85122876210
    DOI10.1088/1748-0221/16/12/C12015
    AnotaceA python package, called Tomotok, focused on performing tomographic inversion of tokamak plasma radiation is being developed at the Institute of Plasma Physics of the Czech Academy of Sciences. It aims at providing multiple inversion algorithms with an user friendly interface. In order to enable and ease performing tomographic inversion on different devices worldwide, it is planned to publish this software as open source in the near future. In this contribution, the package structure allowing an easy implementation of various tokamak and diagnostic geometries is described and an overview of the package contents is given. Apart from inversion methods, overview of Tomotok auxiliary content is given. The package provides tools for creating simple synthetic diagnostic system. These can be used for testing and benchmarking the code. This includes tools for building geometry matrices that describe the view of detectors using single line of sight approximation and artificial data generators capable of creating simple or hollow Gaussian profiles. The implemented inversion methods cover the minimum Fisher regularisation, biorthogonal decomposition and linear algebraic methods. The implementation of each method is explained, example results obtained by inverting phantom models are presented and discussed. The computation speed of implemented algorithms is benchmarked and compared.
    PracovištěÚstav fyziky plazmatu
    KontaktVladimíra Kebza, kebza@ipp.cas.cz, Tel.: 266 052 975
    Rok sběru2022
    Elektronická adresahttps://iopscience.iop.org/article/10.1088/1748-0221/16/12/C12015
Počet záznamů: 1  

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