Tomotok: Python package for tomography of tokamak plasma radiation
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61389021%3A_____%2F21%3A00555264" target="_blank" >RIV/61389021:_____/21:00555264 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21340/21:00359256
Result on the web
<a href="https://iopscience.iop.org/article/10.1088/1748-0221/16/12/C12015" target="_blank" >https://iopscience.iop.org/article/10.1088/1748-0221/16/12/C12015</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1088/1748-0221/16/12/C12015" target="_blank" >10.1088/1748-0221/16/12/C12015</a>
Alternative languages
Result language
angličtina
Original language name
Tomotok: Python package for tomography of tokamak plasma radiation
Original language description
A 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.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/EF16_019%2F0000768" target="_blank" >EF16_019/0000768: COMPASS-U: Tokamak for cutting-edge fusion research</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Journal of Instrumentation
ISSN
1748-0221
e-ISSN
1748-0221
Volume of the periodical
16
Issue of the periodical within the volume
12
Country of publishing house
GB - UNITED KINGDOM
Number of pages
9
Pages from-to
C12015
UT code for WoS article
000758055400016
EID of the result in the Scopus database
2-s2.0-85122876210