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Optimisation of Muon Tomography Scanners for Border Control Using TomOpt
Centre for Cosmology, Particle Physics and Phenomenology (CP3), Université Catholique de Louvain, 1348 Louvain-la-Neuve, Belgium. (MODE Collaboration)ORCID iD: 0009-0007-5997-2612
Departamento de Física and ICTEA, Universidad de Oviedo, 33007 Oviedo, Spain.ORCID iD: 0009-0001-8807-8819
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Embedded Internet Systems Lab. Istituto Nazionale di Fisica Nucleare, Sezione di Padova, 35131 Padova, Italy. (MODE Collaboration)ORCID iD: 0000-0002-1659-8727
Centre for Cosmology, Particle Physics and Phenomenology (CP3), Université Catholique de Louvain, 1348 Louvain-la-Neuve, Belgium. (MODE Collaboration)ORCID iD: 0000-0001-9640-8294
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2025 (English)In: Particles, E-ISSN 2571-712X, Vol. 8, no 2, article id 53Article in journal (Refereed) Published
Abstract [en]

The TomOpt software package is designed to optimise the geometric configuration and the specifications of detectors intended for muon scattering tomography, an imaging technique exploiting cosmic-ray muons. The software employs an end-to-end differentiable pipeline that models the interactions of muons with detectors and scanned volumes, infers properties of the scanned materials, and performs an optimisation cycle minimising a user-defined loss function. This article presents the implementation of a case study related to cargo scanning applications in the context of homeland security.

Place, publisher, year, edition, pages
MDPI, 2025. Vol. 8, no 2, article id 53
Keywords [en]
muon, scattering tomography, muography, differentiable programming, detector design, optimisation
National Category
Software Engineering
Research subject
Machine Learning
Identifiers
URN: urn:nbn:se:ltu:diva-112579DOI: 10.3390/particles8020053ISI: 001514991900001Scopus ID: 2-s2.0-105009298454OAI: oai:DiVA.org:ltu-112579DiVA, id: diva2:1956076
Funder
EU, Horizon 2020, 101021812
Note

Funder: Fonds de la Recherche Scientifique (T.0099.19, J.0070.2); MCIN (RYC2021-033305-I); European Union NextGenerationEU/PRTR (RYC2021-033305-I);

Full text license: CC BY

Available from: 2025-05-05 Created: 2025-05-05 Last updated: 2026-04-24

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Dorigo, Tommaso

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