Modern numerical methods for plasma tomography optimisation

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21340%2F12%3A00199540" target="_blank" >RIV/68407700:21340/12:00199540 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/61389021:_____/12:00383250

Výsledek na webu

<a href="http://www.sciencedirect.com/science/article/pii/S0168900212005712" target="_blank" >http://www.sciencedirect.com/science/article/pii/S0168900212005712</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.nima.2012.05.063" target="_blank" >10.1016/j.nima.2012.05.063</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Modern numerical methods for plasma tomography optimisation

Popis výsledku v původním jazyce

Tomography is a technique which is widely applied to fusion plasmas as it can provide improved understanding of plasma emissivity distributions. It is challenging because of the sparse nature of data available from the measured plasma projections. An optimised version of robust and fast tomographic algorithm based on the Tikhonov regularisation constrained to Minimum Fisher Information is presented in this contribution. A new regularisation matrix enforcing preferential emissivity smoothness along magnetic flux surfaces is introduced. The paper also details application of advanced numerical methods which lead to a substantial decrease in computation time. Subsequent implementation of fast presolvers of the inverse problem further contributes to the algorithm's efficiency and also an improved stability of the tomography reconstruction. Finally, reliability and performance of the tomography algorithm is exemplified by the reconstruction of soft X-ray data evolution following tungsten abl

Název v anglickém jazyce

Modern numerical methods for plasma tomography optimisation

Popis výsledku anglicky

Tomography is a technique which is widely applied to fusion plasmas as it can provide improved understanding of plasma emissivity distributions. It is challenging because of the sparse nature of data available from the measured plasma projections. An optimised version of robust and fast tomographic algorithm based on the Tikhonov regularisation constrained to Minimum Fisher Information is presented in this contribution. A new regularisation matrix enforcing preferential emissivity smoothness along magnetic flux surfaces is introduced. The paper also details application of advanced numerical methods which lead to a substantial decrease in computation time. Subsequent implementation of fast presolvers of the inverse problem further contributes to the algorithm's efficiency and also an improved stability of the tomography reconstruction. Finally, reliability and performance of the tomography algorithm is exemplified by the reconstruction of soft X-ray data evolution following tungsten abl

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

BL - Fyzika plasmatu a výboje v plynech

OECD FORD obor

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Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2012

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Nuclear Instruments and Methods in Physics Research, Section A, Accelerators, Spectrometers, Detectors and Associated Equipment

ISSN

0168-9002

e-ISSN

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Svazek periodika

686

Číslo periodika v rámci svazku

686

Stát vydavatele periodika

NL - Nizozemsko

Počet stran výsledku

6

Strana od-do

156-161

Kód UT WoS článku

000307091100023

EID výsledku v databázi Scopus

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