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Cosmic ray muons have emerged as a non-conventional high-energy radiation probe to monitor dense and large objects. Muons are the most abundant cosmic radiation on Earth, however, their flux at sea level is approximately 10,000 min^-1m^-2…

Instrumentation and Methods for Astrophysics · Physics 2022-01-05 Junghyun Bae , Stylianos Chatzidakis

Muon scattering tomography utilises muons, typically originating from cosmic rays to image the interiors of dense objects. However, due to the low flux of cosmic ray muons at sea-level and the highly complex interactions that muons display…

Computer Vision and Pattern Recognition · Computer Science 2024-01-01 Li Xin Jed Lim , Ziming Qiu

Muon imaging, a non-invasive technique that utilizes naturally occurring cosmic muons, has emerged as a promising tool for exploring underwater objects, including shipwrecks. This study investigates the potential of muon radiography to…

Instrumentation and Detectors · Physics 2025-10-09 Anzori Sh. Georgadze

Cosmic-ray muon tomography is a promising technique for border security applications, leveraging highly penetrating cosmic-ray muons and their interactions with various materials to generate 3D images of large and dense objects, such as…

Applied Physics · Physics 2025-09-25 Anzori Sh. Georgadze

Cosmic ray muons detected by deep underground and underwater detectors have served as an information source on the high-energy cosmic ray spectrum and hadronic interactions in air showers for almost a century. The theoretical interest in…

High Energy Astrophysical Phenomena · Physics 2022-03-30 Anatoli Fedynitch , William Woodley , Marie-Cecile Piro

Due to the high penetrating power of cosmic ray muons, they can be used to probe very thick and dense objects. As charged particles, they can be tracked by ionization detectors, determining the position and direction of the muons. With…

Image and Video Processing · Electrical Eng. & Systems 2024-10-11 Jesus J. Valencia , Adam A. Hecht , C. L. Morris , E. Guardincerri , D. Poulson , J. Bacon , J. M. Durham

The past several decades have seen significant advancement in applications using cosmic-ray muons for tomography scanning of unknown objects. One of the most promising developments is the application of this technique in border security for…

Instrumentation and Detectors · Physics 2026-05-05 Z. Zaher , H. Lay , T. Dorigo , A. Giammanco , V. Gulik , C. Hrytsiuk , V. A. Kudryavtsev , M. Lagrange , T. Metspalu , G. C. Strong , C. Turkoglu , P. Vischia

We develop a potential algorithm to relate the depth development of ultra high energy extensive air showers and the time delay for individual muons. The time distributions sampled at different positions at ground level by a large air shower…

Astrophysics · Physics 2009-11-10 L. Cazon , R. A. Vazquez , E. Zas

We provide comprehensive calculations of total muon fluxes, energy and angular spectra, and mean muon energies in deep underground laboratories - under flat overburdens and mountains and underwater - using our latest calculation code, MUTE…

High Energy Physics - Phenomenology · Physics 2024-09-19 William Woodley , Anatoli Fedynitch , Marie-Cécile Piro

Cosmic muons are highly energetic and penetrative particles and these figures are used for imaging of large and dense objects such as spent nuclear fuels in casks and special nuclear materials in cargo. Cosmic muon intensity depends on the…

Instrumentation and Detectors · Physics 2021-04-28 Junghyun Bae , Stylianos Chatzidakis , Robert Bean

Cosmic ray muon computed tomography ({\mu}CT) is a new imaging modality with unique characteristics that could be particularly important for diverse applications including nuclear nonproliferation, spent nuclear fuel monitoring, cargo…

Instrumentation and Detectors · Physics 2018-10-17 Zhengzhi Liu , Stylianos Chatzidakis , John M. Scaglione , Can Liao , Haori Yang , Jason P. Hayward

We propose and demonstrate two practical mitigation methods to attenuate the cosmic muon flux, compatible with experiments involving superconducting qubits: shallow underground sites and specific device orientation. Using a…

Shape optimization is essential in aerospace vehicle design, including reentry systems, and propulsion system components, as it directly influences aerodynamic efficiency, structural integrity, and overall mission success. Rapid and…

Machine Learning · Computer Science 2025-05-27 Ahmad Peyvan , Varun Kumar , George Em Karniadakis

A dedicated cosmic muon Monte-Carlo event generator CMSCGEN has been developed for the CMS experiment. The simulation relies on parameterisations of the muon energy and the incidence angle, based on measured and simulated data of the cosmic…

High Energy Physics - Experiment · Physics 2011-07-05 Lars Sonnenschein

Diffusion model-based approaches recently achieved re-markable success in MRI reconstruction, but integration into clinical routine remains challenging due to its time-consuming convergence. This phenomenon is partic-ularly notable when…

Image and Video Processing · Electrical Eng. & Systems 2024-11-07 Yu Guan , Qinrong Cai , Wei Li , Qiuyun Fan , Dong Liang , Qiegen Liu

Cosmic Ray Muon Radiography utilizes highly-penetrating cosmic ray muons to image the density profile of an object of interest. Here we report on the first trial to use a portable field-deployable cosmic ray tracking system in order to…

Knowledge of atmospheric muon flux intensity at large depths is extremely important for neutrino telescopes located deep under ground, water or ice. One of the methods to transform muon sea-level spectrum into depth one is to apply Monte…

High Energy Physics - Phenomenology · Physics 2007-05-23 E. V. Bugaev , I. A. Sokalski , S. I. Klimushin

Cosmic-ray tomography usually relies on measuring the scattering or transmission of muons produced within cosmic-ray air showers to reconstruct an examined volume of interest (VOI). During the traversing of a VOI, all air shower particles,…

High Energy Physics - Experiment · Physics 2025-11-05 Maximilian Pérez Prada , Angel Bueno Rodríguez , Maurice Stephan , Sarah Barnes

Super-resolution is widely used in medical imaging to enhance low-quality data, reducing scan time and improving abnormality detection. Conventional super-resolution approaches typically rely on paired datasets of downsampled and original…

Computer Vision and Pattern Recognition · Computer Science 2026-02-18 Xiaoyi Wen , Fei Jiang

Deep learning models have emerged as a powerful tool for various medical applications. However, their success depends on large, high-quality datasets that are challenging to obtain due to privacy concerns and costly annotation. Generative…

Computer Vision and Pattern Recognition · Computer Science 2025-03-04 Milad Yazdani , Yasamin Medghalchi , Pooria Ashrafian , Ilker Hacihaliloglu , Dena Shahriari
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