Neural networks based neutron emissivity tomography at JET with real-time capabilitiesShow others and affiliations
2010 (English)In: Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, ISSN 0168-9002, E-ISSN 1872-9576, Vol. 613, no 2, p. 295-303Article in journal (Refereed) Published
Abstract [en]
Tomographic reconstruction techniques typically require computationally intensive algorithms which are not suitable for real-time application. This paper describes a framework to perform neutron emissivity tomography at the Joint European Torus (JET) using neural networks with successful results over a broad range of magnetic configurations, heating and fueling schemes. Application times in the [mu]s time scale allows for real-time applicability of the method.
Place, publisher, year, edition, pages
2010. Vol. 613, no 2, p. 295-303
Keywords [en]
KN3, Neutron camera, Neutron profile monitor, Neutron emissivity, Neural networks, Real-time, Trace tritium experiment, TTE
National Category
Physical Sciences
Identifiers
URN: urn:nbn:se:uu:diva-129627DOI: 10.1016/j.nima.2009.12.023ISI: 000274882000018OAI: oai:DiVA.org:uu-129627DiVA, id: diva2:344599
2010-08-192010-08-192022-01-28Bibliographically approved
In thesis