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.

Sparse image representation for jet neutron and gamma tomography

A Murari;
2013

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.
2013
Istituto gas ionizzati - IGI - Sede Padova
Inglese
88
6-8
1240
1243
4
http://www.sciencedirect.com/science/article/pii/S0920379613003189
Sì, ma tipo non specificato
Tokamak neutron and gamma plasma diagnostics
Tomography
Sparse image representation
This work, supported by the European Communities under the contract of Association between EURATOM and MEdC, CCFE, ENEA, was carried out under the framework of the Euro- pean Fusion Development Agreement. "Funding under Association Contract FU07-CT-2007-00053". / eISSN: 1873-7196.
1
info:eu-repo/semantics/article
262
T. Craciunescu; V. Kiptily; A. Murari; I. Tiseanu; V. Zoita; JET EFDA Contributors
01 Contributo su Rivista::01.01 Articolo in rivista
none
   EU Fusion for ITER Applications
   EUFORIA
   FP7
   211804
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/181641
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