Modeling the tagged-neutron UXO identification technique using the Geant4 toolkit

Abstract

It is proposed to use 14 MeV neutrons tagged by the associated particle neutron time-of-flight technique (APnTOF) to identify the fillers of unexploded ordnances (UXO) by characterizing their carbon, nitrogen and oxygen contents. To facilitate the design and construction of a prototype system, a preliminary simulation model was developed, using the Geant4 toolkit. This work established the toolkit environment for (a) generating tagged neutrons, (b) their transport and interactions within a sample to induce emission and detection of characteristic gammarays, and (c) 2D and 3D-image reconstruction of the interrogated object using the neutron and gamma-ray timeof-flight information. Using the modeling, this article demonstrates the novelty of the tagged-neutron approach for extracting useful signals with high signal-to-background discrimination of an object-of-interest from that of its environment. Simulations indicated that an UXO filled with the RDX explosive, hexogen (C3H6O6N6), can be identified to a depth of 20 cm when buried in soil.

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Cite this paper

@inproceedings{Zhou2012ModelingTT, title={Modeling the tagged-neutron UXO identification technique using the Geant4 toolkit}, author={Y. Zhou and X. Zhu and Ying Wang and Souren Mitra}, year={2012} }