Current Research into Applications of Tomography for Fusion Diagnostics

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61389021%3A_____%2F19%3A00522775" target="_blank" >RIV/61389021:_____/19:00522775 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/article/10.1007%2Fs10894-018-0178-x" target="_blank" >https://link.springer.com/article/10.1007%2Fs10894-018-0178-x</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/s10894-018-0178-x" target="_blank" >10.1007/s10894-018-0178-x</a>

Result language
angličtina
Original language name
Current Research into Applications of Tomography for Fusion Diagnostics
Original language description
Retrieving spatial distribution of plasma emissivity from line integrated measurements on tokamaks presents a challenging task due to ill-posedness of the tomography problem and limited number of the lines of sight. Modern methods of plasma tomography therefore implement a-priori information as well as constraints, in particular some form of penalisation of complexity. In this contribution, the current tomography methods under development (Tikhonov regularisation, Bayesian methods and neural networks) are briefly explained taking into account their potential for integration into the fusion reactor diagnostics. In particular, current development of the Minimum Fisher Regularisation method is exemplified with respect to real-time reconstruction capability, combination with spectral unfolding and other prospective tasks.
Czech name
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Czech description
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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
10305 - Fluids and plasma physics (including surface physics)

Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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