Passive Detection of Small Low-Emission Sources: Two-Dimensional Numerical Case Studies Academic Article

abstract

• 2016, American Nuclear Society. All rights reserved. In Allmaras et al. [Inverse Prob. Imaging, Vol. 7, No. 1, p. 47 (2013)], we present the mathematical foundations for the passive detection of small low-emission radioactive sources buried in background noise using Compton gamma cameras. Here, we apply these techniques to the detection of small amounts of special nuclear material in various cargo container geometries. Simulated two-dimensional data are used. We demonstrate the feasibility of such an approach using various realistic cargo container loadings and assess the effect of angular detection errors in Compton cameras.

authors

• Kuchment, Peter
• Ragusa, Jean

published proceedings

• NUCLEAR SCIENCE AND ENGINEERING

author list (cited authors)

• Olson, A., Ciabatti, A., Hristova, Y., Kuchment, P., Ragusa, J., & Allmarasd, M.

citation count

• 6

complete list of authors

• Olson, A||Ciabatti, A||Hristova, Y||Kuchment, P||Ragusa, J||Allmarasd, M

publication date

• September 2016

publisher

• Taylor & Francis  Publisher

published in

• Nuclear Science and Engineering  Journal

keywords

• Inverse Problem
• Low Signal-to-noise Ratio
• Passive Detection

Digital Object Identifier (DOI)

• 10.13182/NSE15-66

start page

• 125

end page

• 150

volume

• 184

issue

• 1

URL

• http%3A%2F%2Fdx.doi.org%2F10.13182%2Fnse15-66