We present results from a detailed GEANT4 simulation of a proposed Muon Tomography System that employs compact Micro Pattern Gas Detectors with high spatial resolution. A basic Point-Of-Closest-Approach algorithm is applied to reconstructed muon tracks for forming 3D tomographic images of interrogated targets. Criteria for discriminating materials by Z and discrimination power achieved by the technique for simple scenarios are discussed for different integration times. The simulation shows that Muon Tomography can clearly distinguish high-Z material from low-Z and medium-Z material. We have studied various systematic effects that affect the performance of the MT and the discrimination power. The implications of the simulation results for the planned development of a prototype MT station are discussed.
@article{arxiv.0812.1007,
title = {Performance Expectations for a Tomography System Using Cosmic Ray Muons and Micro Pattern Gas Detectors for the Detection of Nuclear Contraband},
author = {Kondo Gnanvo and Patrick Ford and Jennifer Helsby and Richie Hoch and Debasis Mitra and Marcus Hohlmann},
journal= {arXiv preprint arXiv:0812.1007},
year = {2016}
}
Comments
7 pages, 14 figures, submitted to conference record of IEEE Nucl. Sci. Symp. 2008, Dresden, Germany