Sparse image representation for jet neutron and gamma tomography (Articolo in rivista)

Type
Label
  • Sparse image representation for jet neutron and gamma tomography (Articolo in rivista) (literal)
Anno
  • 2013-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.1016/j.fusengdes.2013.03.024 (literal)
Alternative label
  • T. Craciunescu; V. Kiptily; A. Murari; I. Tiseanu; V. Zoita; JET EFDA Contributors (2013)
    Sparse image representation for jet neutron and gamma tomography
    in Fusion engineering and design; ELSEVIER SCIENCE SA, PO BOX 564, 1001 LAUSANNE (Svizzera)
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • T. Craciunescu; V. Kiptily; A. Murari; I. Tiseanu; V. Zoita; JET EFDA Contributors (literal)
Pagina inizio
  • 1240 (literal)
Pagina fine
  • 1243 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#altreInformazioni
  • eISSN: 1873-7196 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url
  • http://www.sciencedirect.com/science/article/pii/S0920379613003189 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
  • 88 (literal)
Rivista
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali
  • 4 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroFascicolo
  • 6-8 (literal)
Note
  • ISI Web of Science (WOS) (literal)
  • Scopu (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • 1,4,5 : EURATOM-MEdC Association, Institute for Laser, Plasma and Radiation Physics, Bucharest, Romania / 2,6 : EURATOM/CCFE Association, Culham Science Centre, Abingdon, United Kingdom / 3 : Consorzio RFX, Associazione EURATOM-ENEA per la Fusione, Padova, Italy. (literal)
Titolo
  • Sparse image representation for jet neutron and gamma tomography (literal)
Abstract
  • The JET gamma/neutron profile monitor plasma coverage of the emissive region enables tomographic reconstruction. However, due to the availability of only two projection angles and to the coarse sampling, tomography is a highly limited data set problem. A new reconstruction method, based on the sparse representation of the reconstructed image in an over-complete dictionary, has been developed and applied to JET neutron/gamma tomography. The method has been tested on JET experimental data and significant results are presented. The proposed method provides good reconstructions in terms of shapes and resolution. (literal)
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