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Related papers: MUYSC: An end-to-end muography simulation toolbox

200 papers

Muon tomography (MT), based on atmospheric cosmic rays, is a promising technique suitable for nondestructive imaging of the internal structures of mountains. This method uses the measured flux distribution after attenuation, combined with…

Instrumentation and Detectors · Physics 2022-12-27 Bin Zhang , Zhe Wang , Shaomin Chen

By using a very detailed simulation scheme, we have calculated the cosmic ray background flux at 13 active Colombian volcanoes and developed a methodology to identify the most convenient places for a muon telescope to study their inner…

We describe a software package, TomOpt, developed to optimise the geometrical layout and specifications of detectors designed for tomography by scattering of cosmic-ray muons. The software exploits differentiable programming for the…

Non-destructive subsurface imaging methods based on the absorption or scattering of photons or neutrons are becoming increasingly popular in cultural asset conservation. However, these techniques are limited by physical and practical…

Instrumentation and Detectors · Physics 2023-09-18 Marwa Moussawi , Andrea Giammanco , Vishal Kumar , Maxime Lagrange

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

Muons interact with matter via two major interaction mechanisms: ionization and radioactive process, and multiple Coulomb scattering leading to energy loss and trajectory deflection, respectively. For a monoenergetic muon beam crossing an…

Instrumentation and Detectors · Physics 2018-08-24 Zhengzhi Liu

In this work, we describe the calibration and first measurements in the commissioning of MuTe, a hybrid Muon Telescope with two subdetectors --a scintillator hodoscope and a Water Cherenkov Detector (WCD)-- for imaging the inner structures…

Muon radiography is an innovative and non-destructive technique for internal density structure imaging, based on measuring the attenuation of cosmic-ray muons after they penetrate the target. Due to the strong penetration ability of muons,…

Instrumentation and Detectors · Physics 2023-07-19 Xin Mao , Zhiwei Li , Shuning Dong , Jingtai Li , Jianming Zhang , Jie Pang , Yaping Cheng , Bin Liao , Xiaoping Ouyang , Ran Han

We present a comprehensive Monte Carlo simulation of muon-induced backgrounds for the Colorado Underground Research Institute (CURIE), a shallow-underground facility with $\approx 415$~m.w.e. overburden. Using coupled \textsc{mute} and…

Muon radiography is a promising technique to image the internal density structures upto a few hundred meters scale, such as tunnels, pyramids and volcanos, by measuring the flux attenuation of cosmic ray muons after trvaling through these…

Instrumentation and Detectors · Physics 2020-07-29 Y. Cheng , R. Han , Z. Li , J. Li , J. Li , W. Gu , X. Yang , X. Ouyang , B. Liao

Cosmic-ray muons are highly penetrative charged particles that are observed at sea level with a flux of approximately one per square centimetre per minute. They interact with matter primarily through Coulomb scattering, which is exploited…

The underground muon detector of the Pierre Auger Observatory is aimed at attaining direct measurements of the muonic component of extensive air showers produced by cosmic rays with energy from $10^{16.5}$ eV up to the region of the ankle…

Instrumentation and Methods for Astrophysics · Physics 2021-09-01 A. M. Botti , F. Sánchez , M. Roth , A. Etchegoyen

Muon scattering tomography is a well-established, non-invasive imaging technique using cosmic-ray muons. Simple algorithms, such as PoCA (Point of Closest Approach), are often utilized to reconstruct the volume of interest from the observed…

High Energy Physics - Experiment · Physics 2025-11-10 Jean-Marco Alameddine , Felix Sattler , Maurice Stephan , Sarah Barnes

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

CosmicWatch-based muon detectors are inexpensive, handheld, battery-powered, portable instruments designed to measure the flux of secondary muons produced when primary cosmic rays continuously strike the Earth's atmosphere. As these muons…

Instrumentation and Detectors · Physics 2026-05-07 Ishannita Banerjee , Swagato Banerjee , Douglas Jackson , John Naber

Numerical weather prediction requires initial estimates of the atmospheric state. Since the atmospheric density field is intricately woven into the atmosphere's governing equations, advancing atmospheric density estimation will improve…

Atmospheric and Oceanic Physics · Physics 2025-09-08 William Luszczak , Man-Yau Chan

The MURAVES experiment aims at the muographic imaging of the internal structure of the summit of Mt. Vesuvius, exploiting muons produced by cosmic rays. Though presently quiescent, the volcano carries a dramatic hazard in its highly…

We present an underground cosmic ray muon tomographic experiment imaging 3D density of overburden, part of a joint study with differential gravity. Muon data were acquired at four locations within a tunnel beneath Los Alamos, New Mexico,…

MuSim is a new user-friendly program designed to interface to many different particle simulation codes, regardless of their data formats or geometry descriptions. It presents the user with a compelling graphical user interface that includes…

We introduce MOSAIC, a Python program for machine learning models. Our framework is developed with in mind accelerating machine learning studies through making implementing and testing arbitrary network architectures and data sets simpler,…

Machine Learning · Computer Science 2023-01-31 Mattéo Papin , Yann Beaujeault-Taudière , Frédéric Magniette