Repository logo

Infoscience

  • English
  • French
Log In
Logo EPFL, École polytechnique fédérale de Lausanne

Infoscience

  • English
  • French
Log In
  1. Home
  2. Academic and Research Output
  3. Journal articles
  4. Maximum likelihood bolometric tomography for the determination of the uncertainties in the radiation emission on JET TOKAMAK
 
research article

Maximum likelihood bolometric tomography for the determination of the uncertainties in the radiation emission on JET TOKAMAK

Craciunescu, Teddy
•
Peluso, Emmanuele
•
Murari, Andrea
Show more
May 1, 2018
Review Of Scientific Instruments

The total emission of radiation is a crucial quantity to calculate the power balances and to understand the physics of any Tokamak. Bolometric systems are the main tool to measure this important physical quantity through quite sophisticated tomographic inversion methods. On the Joint European Torus, the coverage of the bolometric diagnostic, due to the availability of basically only two projection angles, is quite limited, rendering the inversion a very ill-posed mathematical problem. A new approach, based on the maximum likelihood, has therefore been developed and implemented to alleviate one of the major weaknesses of traditional tomographic techniques: the difficulty to determine routinely the confidence intervals in the results. The method has been validated by numerical simulations with phantoms to assess the quality of the results and to optimise the configuration of the parameters for the main types of emissivity encountered experimentally. The typical levels of statistical errors, which may significantly influence the quality of the reconstructions, have been identified. The systematic tests with phantoms indicate that the errors in the reconstructions are quite limited and their effect on the total radiated power remains well below 10%. A comparison with other approaches to the inversion and to the regularization has also been performed.

  • Details
  • Metrics
Type
research article
DOI
10.1063/1.5027880
Web of Science ID

WOS:000433962700033

Author(s)
Craciunescu, Teddy
Peluso, Emmanuele
Murari, Andrea
Gelfusa, Michela
Abduallev, S.
Abhangi, M.
Abreu, P.
Afzal, M.
Aggarwal, K. M.
Ahlgren, T.
Show more
Date Issued

2018-05-01

Published in
Review Of Scientific Instruments
Volume

89

Issue

5

Article Number

053504

Subjects

Instruments & Instrumentation

•

Physics, Applied

•

Physics

•

iterative reconstruction algorithms

•

noise characterization

•

image-reconstruction

•

system

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
SPC  
Available on Infoscience
September 20, 2019
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/161365
Logo EPFL, École polytechnique fédérale de Lausanne
  • Contact
  • infoscience@epfl.ch

  • Follow us on Facebook
  • Follow us on Instagram
  • Follow us on LinkedIn
  • Follow us on X
  • Follow us on Youtube
AccessibilityLegal noticePrivacy policyCookie settingsEnd User AgreementGet helpFeedback

Infoscience is a service managed and provided by the Library and IT Services of EPFL. © EPFL, tous droits réservés