Minimum Fisher Tikhonov Regularization Adapted to Real-Time Tomography

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61389021%3A_____%2F16%3A00462313" target="_blank" >RIV/61389021:_____/16:00462313 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/00216208:11320/16:10334429

Výsledek na webu

<a href="http://dx.doi.org/10.13182/FST15-180" target="_blank" >http://dx.doi.org/10.13182/FST15-180</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.13182/FST15-180" target="_blank" >10.13182/FST15-180</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Minimum Fisher Tikhonov Regularization Adapted to Real-Time Tomography

Popis výsledku v původním jazyce

Tomography inversion has been used routinely for processing outputs of plasma radiation diagnostics. Various tomographic algorithms have been developed, with those based on Tikhonov regularization being among the fastest while still providing reliable results. This paper presents a further speed optimization of the minimum Fisher Tikhonov regularization algorithm based on reducing iteration cycles used during the calculation. Ten to twentyfold speed gain is achieved compared to the original implementation. Robustness of the new method is demonstrated using both artificially generated data sets and real data from the soft X-ray diagnostics at the COMPASS tokamak. The advantage gained by the optimization is investigated in particular with respect to the possibility of real-time control of the plasma position; the option of impurity control is also discussed.

Název v anglickém jazyce

Minimum Fisher Tikhonov Regularization Adapted to Real-Time Tomography

Popis výsledku anglicky

Tomography inversion has been used routinely for processing outputs of plasma radiation diagnostics. Various tomographic algorithms have been developed, with those based on Tikhonov regularization being among the fastest while still providing reliable results. This paper presents a further speed optimization of the minimum Fisher Tikhonov regularization algorithm based on reducing iteration cycles used during the calculation. Ten to twentyfold speed gain is achieved compared to the original implementation. Robustness of the new method is demonstrated using both artificially generated data sets and real data from the soft X-ray diagnostics at the COMPASS tokamak. The advantage gained by the optimization is investigated in particular with respect to the possibility of real-time control of the plasma position; the option of impurity control is also discussed.

Druh

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

CEP obor

BL - Fyzika plasmatu a výboje v plynech

OECD FORD obor

—

Projekt

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

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2016

Kód důvěrnosti údajů

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

Název periodika

Fusion Science and Technology

ISSN

1536-1055

e-ISSN

—

Svazek periodika

69

Číslo periodika v rámci svazku

2

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

9

Strana od-do

505-513

Kód UT WoS článku

000373599700004

EID výsledku v databázi Scopus

2-s2.0-84962727672