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Evaluation of reconstruction errors and identification of artefacts for JET gamma and neutron tomography
Natl Inst Laser Plasma & Radiat Phys, Magurele, Romania..ORCID iD: 0000-0002-0012-4260
KTH, School of Electrical Engineering and Computer Science (EECS), Electrical Engineering, Fusion Plasma Physics.
KTH, School of Electrical Engineering and Computer Science (EECS), Electrical Engineering, Fusion Plasma Physics.
Natl Inst Laser Plasma & Radiat Phys, Magurele, Romania..
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Number of Authors: 11132016 (English)In: Review of Scientific Instruments, ISSN 0034-6748, E-ISSN 1089-7623, Vol. 87, no 1, article id 013502Article in journal (Refereed) Published
Abstract [en]

The Joint European Torus (JET) neutron profile monitor ensures 2D coverage of the gamma and neutron emissive region that enables tomographic reconstruction. Due to the availability of only two projection angles and to the coarse sampling, tomographic inversion is a limited data set problem. Several techniques have been developed for tomographic reconstruction of the 2-D gamma and neutron emissivity on JET, but the problem of evaluating the errors associated with the reconstructed emissivity profile is still open. The reconstruction technique based on the maximum likelihood principle, that proved already to be a powerful tool for JET tomography, has been used to develop a method for the numerical evaluation of the statistical properties of the uncertainties in gamma and neutron emissivity reconstructions. The image covariance calculation takes into account the additional techniques introduced in the reconstruction process for tackling with the limited data set (projection resampling, smoothness regularization depending on magnetic field). The method has been validated by numerically simulations and applied to JET data. Different sources of artefacts that may significantly influence the quality of reconstructions and the accuracy of variance calculation have been identified.

Place, publisher, year, edition, pages
American Institute of Physics (AIP), 2016. Vol. 87, no 1, article id 013502
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Physical Sciences
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URN: urn:nbn:se:kth:diva-271142DOI: 10.1063/1.4939252ISI: 000369430900016PubMedID: 26827316Scopus ID: 2-s2.0-84954131644OAI: oai:DiVA.org:kth-271142DiVA, id: diva2:1416084
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QC 20200320

Available from: 2020-03-20 Created: 2020-03-20 Last updated: 2020-04-15Bibliographically approved

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