Proceedings

EPJ Plus Highlight - A full-scale prototype for muon tomography

Assessing muon scattering angles

Building on previous studies of muon tomography techniques, this topical issue demonstrates a full-scale prototype for the technology, capable of determining the position of a small lead block within a large sensing area

Each year, billions of tons of goods are transported globally using cargo containers. Currently, there are concerns that this immense volume of traffic could be exploited to transport illicit nuclear materials, with little chance of detection. One promising approach to combating this issue is to measure how goods interact with charged particles named muons – which form naturally as cosmic rays interact with Earth’s atmosphere. Studies worldwide have now explored how this technique, named ‘muon tomography,’ can be achieved through a variety of detection technologies and reconstruction algorithms. In this article of EPJ Plus, a team headed by Francesco Riggi at the University of Catania, Italy, build on these results to develop a full-scale muon tomograph prototype.

The technology is particularly advantageous since cosmic muons are available worldwide; display well-known properties at sea level; and can penetrate far deeper into heavy materials than x-rays. As they interact with heavy elements such as nuclear materials, muons are scattered at characteristic angles. Therefore, by comparing the trajectories of muons entering and exiting a material being inspected, researchers can identify these elements, even if they are hidden within large containers. However, since cosmic muons are relatively rare, this technique requires long scanning times to produce suitable levels of sensitivity and image resolution – limiting its use in large-scale monitoring. Many previous studies have now addressed this issue using advanced muon detection techniques, alongside image reconstruction algorithms.

In this article, Riggi and colleagues used the insights gained through these studies to build a full-scale muon tomograph prototype, with a sensing area of 18m2 – large enough to inspect a standard cargo container. Their study involved placing light-emitting muon detectors above and below a small lead block. A specialised algorithm then used the data they gathered to estimate the closest approach between nuclei with high atomic numbers within the block, and the muons which were scattered by them – enabling the researchers to determine the position of the block in 3D. The outcomes of the study pave the way for practical detectors with low sensing times and high image resolutions. Through further improvements, the prototype could soon lead to sophisticated monitoring systems, suitable for use in cargo-handling facilities worldwide.

This was our first experience of publishing with EPJ Web of Conferences. We contacted the publisher in the middle of September, just one month prior to the Conference, but everything went through smoothly. We have had published MNPS Proceedings with different publishers in the past, and would like to tell that the EPJ Web of Conferences team was probably the best, very quick, helpful and interactive. Typically, we were getting responses from EPJ Web of Conferences team within less than an hour and have had help at every production stage.
We are very thankful to Solange Guenot, Web of Conferences Publishing Editor, and Isabelle Houlbert, Web of Conferences Production Editor, for their support. These ladies are top-level professionals, who made a great contribution to the success of this issue. We are fully satisfied with the publication of the Conference Proceedings and are looking forward to further cooperation. The publication was very fast, easy and of high quality. My colleagues and I strongly recommend EPJ Web of Conferences to anyone, who is interested in quick high-quality publication of conference proceedings.

On behalf of the Organizing and Program Committees and Editorial Team of MNPS-2019, Dr. Alexey B. Nadykto, Moscow State Technological University “STANKIN”, Moscow, Russia. EPJ Web of Conferences vol. 224 (2019)

ISSN: 2100-014X (Electronic Edition)

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