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Experimental Assessment of a Flat Sandwich-Like Self-Powered Detector for Nuclear Measurements in ITER Test Blanket Modules

TitleExperimental Assessment of a Flat Sandwich-Like Self-Powered Detector for Nuclear Measurements in ITER Test Blanket Modules
Publication TypeArticolo su Rivista peer-reviewed
Year of Publication2018
AuthorsRaj, P., Angelone Massimo, Döring T., Eberhardt K., Fischer U., Klix A., and Schwengner R.
JournalIEEE Transactions on Nuclear Science
Volume65
Pagination2385-2391
ISSN00189499
KeywordsExperimental assessment, Flux monitoring, Fusion reactors, Gamma rays, Gamma-ray detection, Neutron detection, Neutron sources, Neutrons, Nuclear measurement, Nuclear Reactors, Optimization of geometries, Reactor instrumentation, Test blanket module
Abstract

Neutron and gamma flux measurements in designated positions in the test blanket modules (TBMs) of ITER will be important tasks during its campaigns. Investigations on self-powered detectors (SPDs), a class of reactor flux monitors are undertaken in the framework of an ongoing project on development of nuclear instrumentation for European ITER TBMs. This paper reports the findings of experiments performed with an SPD in flat sandwich-like geometry. A detector with vanadium emitter is chosen for preliminary studies. Its irradiation in a thermal neutron field gives a proof of the principle of flat SPDs. It is further irradiated in the mixed neutron-gamma field of a 14-MeV neutron generator and a bremsstrahlung photon field. The test SPD signals are proportional to the incident fluxes, deeming it suitable for flux monitoring. Whereas both neutrons and gammas can be detected with appropriate optimization of geometries, materials, and sizes of the components, the present design is more sensitive to gammas than fast neutrons. Based on the measured sensitivities of the SPD, its response under TBM conditions is predicted. © 2018 IEEE.

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URLhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85049795405&doi=10.1109%2fTNS.2018.2844554&partnerID=40&md5=a1200bb547bfd50622fb7eee73ba3aec
DOI10.1109/TNS.2018.2844554
Citation KeyRaj20182385