Abstract
Muon tomography is a very promising imaging technique for the control of cargo containers. It takes advantage of cosmic muons and their interaction mechanisms to reconstruct images of the volume traversed by these particles. In the present work, the imaging performance of a novel muon tomography scanner based on resistive plate chambers detectors is investigated. By means of several Monte Carlo simulations, some imaging parameters are evaluated. The results in terms of spatial resolution, field-of-view and volume and material recognition make the presented scanner and its geometry suitable for muon tomography.
Highlights
The imaging performance of a novel muon tomography scanner based on resistive plate chambers detectors is investigated
Muon tomography [1,2,3] is a valuable imaging technique that allows quick scanning of cargo containers, it takes advantage of muons, particles that make up the constant natural background of cosmic particles
Since the intensity of the scattering strictly depends on the atomic number and the geometry of the objects traversed, it is possible to infer the content of a volume and distinguish materials with different compositions by tracking the muons traversing it
Summary
Muon tomography [1,2,3] is a valuable imaging technique that allows quick scanning of cargo containers, it takes advantage of muons, particles that make up the constant natural background of cosmic particles. Since the intensity of the scattering strictly depends on the atomic number and the geometry of the objects traversed, it is possible to infer the content of a volume and distinguish materials with different compositions by tracking the muons traversing it. Through the interactions of the muons in the detectors, it is possible to infer the scattering angle of each muon traversing the volume and to reconstruct a tomographic image of its content with a contrast depending on the atomic number of the materials encountered. From other groups focused on the study of MRPC for muon tomography [13,14,15], the TECNOMUSE project aims to develop a complete scanner based on MRPC. Different simulations have been developed with the aim to assess the detection capabilities and imaging performance
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
