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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Carasco, C. Eleon, C. Perot, B. Boudergui, K. Kondrasovs, V. Corre, G. Normand, S. Sannie, G. Woo, R. Bourbotte, J.-M. |
| Copyright Year | 2011 |
| Description | Author affiliation: CEA, DEN, Cadarache, Nuclear Measurement Laboratory, F-13108 Saint-Paul-lez-Durance, France (Carasco, C.; Eleon, C.; Perot, B.) || CEA, LIST, Saclay, F-91191 Gif-sur-Yvette, France (Boudergui, K.; Kondrasovs, V.; Corre, G.; Normand, S.; Sannie, G.; Woo, R.; Bourbotte, J.-M.) |
| Abstract | The purpose of the FP7 UNCOSS project (Underwater Coastal Sea Surveyor, http://www.uncoss-project.org) is to develop a neutron-based underwater explosive sensor to detect unexploded ordnance lying on the sea bottom. The Associated Particle Technique is used to focus the inspection on a suspicious object located by optical and electromagnetic sensors and to determine if there is an explosive charge inside. This paper presents the data acquisition electronics and data analysis software which have been developed for this project. The electronics digitize and process the signal in real-time based on a field programmable gate array structure to perform precise time-of-flight and gamma-ray energy measurements. UNCOSS software offers the basic tools to analyze the time-of-flight and energy spectra of the interrogated object. It allows to unfold the gamma-ray spectrum into pure elemental count proportions, mainly C, N, O, Fe, Al, Si, and Ca. The C, N, and O count fractions are converted into chemical proportions by taking into account the gamma-ray production cross sections, as well as neutron and photon attenuation in the different shields between the ROV (Remotely Operated Vehicle) and the explosive, such as the explosive iron shell, seawater, and ROV envelop. These chemical ratios are plotted in a two-dimensional (2D) barycentic representation to position the measured point with respect to common explosives. The systematic uncertainty due to the above attenuation effects and counting statistical fluctuations are combined with a Monte Carlo method to provide a 3D uncertainty area in a barycentric plot, which allows to determine the most probable detected materials in view to make a decision about the presence of explosive. |
| Starting Page | 1 |
| Ending Page | 5 |
| File Size | 1167305 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781457709258 |
| e-ISBN | 9781457709272 |
| DOI | 10.1109/ANIMMA.2011.6172930 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-06-06 |
| Publisher Place | Belgium |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Fast neutron interrogation Uncertainty Data analysis Data acquisition Underwater explosive detection Detectors Neutrons Explosives Iron Software Data acquisition electronics Associated particle technique |
| Content Type | Text |
| Resource Type | Article |
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