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Proceedings Paper

Transport simulation and image reconstruction for fast-neutron detection of explosives and narcotics
Author(s): Bradley J. Micklich; Charles L. Fink; Leonid Sagalovsky
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Paper Abstract

Fast-neutron inspection techniques show considerable promise for explosive and narcotics detection. A key advantage of using fast neutron is their sensitivity to low-Z elements (carbon, nitrogen, and oxygen), which are the primary constituents of these materials. We are currently investigating two interrogation methods in detail: fast-neutron transmission spectroscopy (FNTS) and pulsed fast-neutron analysis (PFNA). FNTS is being studied for explosives and narcotics detection in luggage and small containers for which the transmission ration is greater than about 0.01. The Monte Carlo radiation transport code MCNP is being used to simulate neutron transmission through a series of phantoms for a few (3-5) projections angles and modest (2 cm) reolution. Areal densities along projection rays are unfolded from the transmission data. Elemental abundances are obtained for individual voxels by tomographic reconstruction, and the reconstructed elemental images are combined to provide indications of the presence or absence of explosives or narcotics. PFNA techniques are being investigated for detection of narcotics in cargo containers because of the good penetration of the fast neutrons and the low attenuation of the resulting high-energy gamma-ray signatures. Analytic models and Monte Carlo simulations are being used to explore the range of capabilities of PFNA techniques and to provide insight into systems engineering issues. Results of studies from both FNTS and PFNA technqiues are presented.

Paper Details

Date Published: 15 September 1995
PDF: 12 pages
Proc. SPIE 2511, Law Enforcement Technologies: Identification Technologies and Traffic Safety, (15 September 1995); doi: 10.1117/12.219601
Show Author Affiliations
Bradley J. Micklich, Argonne National Lab. (United States)
Charles L. Fink, Argonne National Lab. (United States)
Leonid Sagalovsky, Argonne National Lab. (United States)


Published in SPIE Proceedings Vol. 2511:
Law Enforcement Technologies: Identification Technologies and Traffic Safety
Bernard Dubuisson; Geoffrey L. Harding, Editor(s)

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