Open AccessTECNOMUSE: a novel, RPC-based, muon tomography scanner for the control of container terminals
Author(s) -
Enrico Preziosi,
F Arcieri,
A. Caltabiano,
P. Camarri,
S Casagrande,
D Cavicchioni,
F A Danza,
E Fabrizi,
M Fabrizi,
G. Festa,
C. Fornaro,
F. Marchese,
Daniela Merella,
M. C. Morone,
P Picella,
P. Picozza,
L. Pizzimento,
A. Rocchi,
R. Santonico,
R. Senesi,
R. Sparvoli,
Gian Marco Todesco,
A. Cianchi
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1548/1/012021
Subject(s) - scanner , container (type theory) , muon , resistive touchscreen , detector , cosmic ray , physics , monte carlo method , computer science , tomography , optics , simulation , nuclear physics , engineering , computer vision , mechanical engineering , mathematics , statistics
Every year, 700 million twenty-foot (container) equivalent units pass through the container terminals of the harbours all over the world. Only a small percentage (34%) are scanned to inspect the presence of radioactive materials. The need for controls is hampered essentially by three factors: the amount of both time and personnel necessary to control each container and the use of scanning methods based on systems potentially harmful for the personnel itself. Muon tomography can become a strategy for fast and reliable inspection of containers without using ionizing radiation. This technology takes advantage of multiple Coulomb scattering of the muons (particle produced by cosmic rays) through media to understand the composition and the geometry of the scanned volume. The TECNOMUSE project has the purpose to realize a muon tomography scanner based on a novel geometry and, for the first time, using Resistive Plate Chambers detectors. In this work, the preliminary results from the TECNOMUSE scanner are evaluated via Monte Carlo simulations. Many different simulations have been made with the aim to assess the detection capabilities of the device, its spatial resolution and the time required to reconstruct and distinguish different materials.