Gamma signatures of the C-BORD Tagged Neutron Inspection System

In the frame of C-BORD project (H2020 program of the EU), a Rapidly relocatable Tagged Neutron Inspection System (RRTNIS) is being developed to non-intrusively detect explosives, chemical threats, and other illicit goods in cargo containers. Material identification is performed through gamma spectro...

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Bibliographic Details
Published in:EPJ Web of Conferences 2018-01, Vol.170, p.7011
Main Authors: Sardet, A., Pérot, B., Carasco, C., Sannié, G., Moretto, S., Nebbia, G., Fontana, C., Pino, F., Iovene, A., Tintori, C.
Format: Article
Language:English
Subjects:
C-BORD project
Cargo containers
Computer simulation
Detectors
Energy spectra
Engineering Sciences
Explosives detection
fast neutron activation analysis
Fast neutrons
Gamma spectroscopy
inelastic scattering gamma rays
Inspection
Instrumentation and Detectors
MCNP6
Neutrons
Nuclear Experiment
Organic chemistry
Physics
Radiography
Rapidly Relocatable Tagged Neutron Inspection System
Sensors
Signal and Image processing
Signatures
Spectrum analysis
X-ray radiography
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Summary:In the frame of C-BORD project (H2020 program of the EU), a Rapidly relocatable Tagged Neutron Inspection System (RRTNIS) is being developed to non-intrusively detect explosives, chemical threats, and other illicit goods in cargo containers. Material identification is performed through gamma spectroscopy, using twenty NaI detectors and four LaBr3 detectors, to determine the different elements composing the inspected item from their specific gamma signatures induced by fast neutrons. This is performed using an unfolding algorithm to decompose the energy spectrum of a suspect item, selected by X-ray radiography and on which the RRTNIS inspection is focused, on a database of pure element gamma signatures. This paper reports on simulated signatures for the NaI and LaBr 3 detectors, constructed using the MCNP6 code. First experimental spectra of a few elements of interest are also presented.
ISSN:2100-014X
2101-6275
2100-014X
DOI:10.1051/epjconf/201817007011