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Abstract
An analysis method of identifying materials using muon scattering tomography is presented, which uses previous knowledge of the position of high-Z objects inside a container and distinguishes them from similar materials. In particular, simulations were performed in order to distinguish a block of Uranium from blocks of Lead and Tungsten of the same size, inside a concrete-filled drum. The results show that, knowing the shape and position from previous analysis, it is possible to distinguish 5 × 5 × 5 cm3 blocks of these materials with about 4h of muon exposure, down to 2 × 2 × 2 cm3 blocks with 70h of data using multivariate analysis (MVA). MVA uses several variables, but it does not benefit the discrimination over a simpler method using only the scatter angles. This indicates that the majority of discrimination is provided by the angular information. Momentum information is shown to provide no benefits in material discrimination.
Original language | English |
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Number of pages | 13 |
Journal | Journal of Instrumentation |
Volume | 11 |
DOIs | |
Publication status | Published - 21 Jul 2016 |
Keywords
- Pattern recognition
- cluster finding
- calibration and fitting methods
- Search for radioactive and fissile materials
- Particle tracking detectors (Gaseous detectors)
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Dive into the research topics of 'Discrimination of high-Z materials in concrete-filled containers using Muon Scattering Tomography'. Together they form a unique fingerprint.Projects
- 1 Finished
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Towards a commercial prototype for Cosmic Ray Tomography.
Velthuis, J. J. (Principal Investigator)
1/09/12 → 1/10/13
Project: Research