An MCNP study of fast neutron interrogation for standoff detection of improvised explosive devices

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Show simple item record Heider, Samuel A. 2012-06-18T13:15:08Z 2012-06-18T13:15:08Z 2012-06-18
dc.description.abstract The signature-based radiation-scanning (SBRS) technique relies on radiation detector responses, called “signatures,” and compares them to “templates”, to differentiate targets containing nitrogen-rich explosives from those that do not. This investigation utilizes nine signatures due to inelastic-scatter and prompt-capture gamma rays from hydrogen, carbon, nitrogen, and oxygen (HCNO) as well as two neutron signatures, produced when a target is interrogated with a 14.1 MeV neutron source beam. One hundred and forty three simulated experiments were conducted using MCNP5. Signatures of 42 targets containing explosive samples (21 of RDX and 21 of Urea Nitrate), and 21 containing inert samples were compared with the signatures of 80 artificial templates through figure-of-merit analysis. A density filter, comparing targets with templates of similar average density was investigated. Both high and low-density explosives (RDX-1.8 g cm-3 and Urea Nitrate-0.69 g cm-3) were shown to be differentiated from inert materials through use of neutron and gamma-ray signature templates with sensitivity of 90.5% and specificity of 76.2%. Density Groups were identified, in which neutron signature templates, gamma-ray signature templates or the combination of neutron and gamma-ray signature templates were capable of improving inert-explosive differentiation. figure-of -merit analysis, employing the best Density Group specific templates, differentiated explosive from inert targets with 90.5% sensitivity and specificity of over 85%. en_US
dc.language.iso en_US en_US
dc.publisher Kansas State University en
dc.subject Monte Carlo en_US
dc.subject Signature based radiation scanning en_US
dc.subject Improvised explosive devices en_US
dc.subject Explosive detection en_US
dc.title An MCNP study of fast neutron interrogation for standoff detection of improvised explosive devices en_US
dc.type Thesis en_US Master of Science en_US
dc.description.level Masters en_US
dc.description.department Department of Mechanical and Nuclear Engineering en_US
dc.description.advisor William L. Dunn en_US
dc.subject.umi Nuclear Engineering (0552) en_US 2012 en_US August en_US

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