Cosmic rays interacting with the atmosphere result in a flux of secondary particles including muons and electrons. Atmospheric ray tomography (ART) uses the muons and electrons for detecting objects and their composition. This paper presents new methods and a proof-of-concept tomography system developed for the ART of low-Z materials. We introduce the Particle Track Filtering (PTF) and Multi-Modality Tomographic Reconstruction (MMTR) methods. Based on Geant4 models we optimized the tomography system, the parameters of PTF and MMTR. Based on plastic scintillating fiber arrays we achieved the spatial resolution 120 μm and 1 mrad angular resolution in the track reconstruction. We developed a novel edge detection method to separate the logical volumes of scanned object. We show its effectiveness on single (e.g. water, aluminum) and double material (e.g. explosive RDX in flesh) objects. The tabletop tomograph we built showed excellent agreement between simulations and measurements. We are able to increase the discriminating power of ART on low-Z materials significantly. This work opens up new routes for the commercialization of ART tomography.
@article{arxiv.2102.12542,
title = {Atmospheric ray tomography for low-Z materials: implementing new methods on a proof-of-concept tomograph},
author = {Gholamreza Anbarjafari and Aivo Anier and Egils Avots and Anzori Georgadze and Andi Hektor and Madis Kiisk and Marius Kutateladze and Tõnu Lepp and Märt Mägi and Vitali Pastsuk and Hannes Plinte and Sander Suurpere},
journal= {arXiv preprint arXiv:2102.12542},
year = {2021}
}
Comments
14 pages, submitted to Nucl. Instrum. Methods Phys. Res