Current Research into Applications of Tomography for Fusion Diagnostics

0522775 - ÚFP 2020 RIV DE eng J - Journal Article
Mlynář, Jan - Craciunescu, T. - Ferreira, D. R. - Carvalho, P. - Ficker, Ondřej - Grover, Ondřej - Imríšek, Martin - Svoboda, J.
Current Research into Applications of Tomography for Fusion Diagnostics.
Journal of Fusion Energy. Roč. 38, 3-4 (2019), s. 458-466. ISSN 0164-0313. E-ISSN 1572-9591
EU Projects: European Commission(XE) 633053 - EUROfusion
Institutional support: RVO:61389021
Keywords : Plasma diagnostics * Plasma tomography * Tokamaks
OECD category: Fluids and plasma physics (including surface physics)
Impact factor: 0.636, year: 2019
Method of publishing: Open access
https://link.springer.com/article/10.1007%2Fs10894-018-0178-x

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.
Permanent Link: http://hdl.handle.net/11104/0307213