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A collimated neutron detector for RFP plasmas in MST.
Capecchi, W J; Anderson, J K; Bonofiglo, P J; Kim, J; Sears, S.
Afiliação
  • Capecchi WJ; University of Wisconsin- Madison, Madison, Wisconsin 53706, USA.
  • Anderson JK; University of Wisconsin- Madison, Madison, Wisconsin 53706, USA.
  • Bonofiglo PJ; University of Wisconsin- Madison, Madison, Wisconsin 53706, USA.
  • Kim J; University of Wisconsin- Madison, Madison, Wisconsin 53706, USA.
  • Sears S; University of Wisconsin- Madison, Madison, Wisconsin 53706, USA.
Rev Sci Instrum ; 87(11): 11D826, 2016 Nov.
Article em En | MEDLINE | ID: mdl-27910571
ABSTRACT
The neutron emissivity profile in the Madison Symmetric Torus is being reconstructed through the use of a collimated neutron detector. A scintillator-photomultiplier tube (PMT) system is employed to detect the fusion neutrons with the plasma viewing volume defined by a 55 cm deep, 5 cm diameter aperture. Effective detection of neutrons from the viewing volume is achieved through neutron moderation using 1300 lbs of high density polyethylene shielding, which modeling predicts attenuates the penetrating flux by a factor of 104 or more. A broad spectrum of gamma radiation is also present due to the unconfined fusion proton bombardment of the thick aluminum vacuum vessel. A 15 cm cylindrical liquid scintillator of 3.8 cm diameter is used to further increase directional sensitivity. A fast (5 ns rise time) preamplifier and digitization at 500 MHz prevent pulse pile-up even at high count rates (∼104/s). The entire neutron camera system is situated on an adjustable inclining base which provides the differing plasma viewing volumes necessary for reconstruction of the neutron emissivity profile. This profile, directly related to the fast-ion population, allows for an investigation of the critical fast-ion pressure gradient required to destabilize a neutral beam driven Alfvénic mode which has been shown to transport fast ions.
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Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2016 Tipo de documento: Article
Buscar no Google
Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2016 Tipo de documento: Article