Results 51 to 60 of about 212 (145)

Experimental study of source of background noise in muon radiography using emulsion film detectors [PDF]

open access: yesGeoscientific Instrumentation, Methods and Data Systems, 2014
The aim of this study is to ascertain and confirm the source of background noise in cosmic-ray muon radiography (muography) using emulsion film detectors.
R. Nishiyama, S. Miyamoto, N. Naganawa
doaj   +1 more source

Muography for Inspection of Civil Structures

open access: yesInstruments, 2022
Aging infrastructure is a threatening issue throughout the world. Long exposure to oxygen and moisture causes premature corrosion of reinforced concrete structures leading to the collapse of the structures. As a consequence, real-time monitoring of civil
Subhendu Das   +5 more
doaj   +1 more source

Branched Conduit Structure Beneath the Active Craters of Sakurajima Volcano Inferred From Muography

open access: yesJournal of Geophysical Research: Solid Earth, Volume 129, Issue 9, September 2024.
Abstract Observing in‐conduit physical mechanism underlying the switching of eruptive activity between the craters of multi‐vent volcanoes could contribute to hazard assessment at these complex volcanic edifices. We performed monitoring of mass density changes beneath two active craters of Sakurajima volcano in Kyushu, Japan between September 2018 and ...
László Oláh   +4 more
wiley   +1 more source

Expanding the Spatial Reach and Human Impacts of Critical Zone Science

open access: yesEarth's Future, Volume 12, Issue 3, March 2024.
Abstract Two major barriers hinder the holistic understanding of subsurface critical zone (CZ) evolution and its impacts: (a) an inability to measure, define, and share information and (b) a societal structure that inhibits inclusivity and creativity. In contrast to the aboveground portion of the CZ, which is visible and measurable, the bottom boundary
Kamini Singha   +15 more
wiley   +1 more source

Muography as a new tool to study the historic earthquakes recorded in ancient burial mounds [PDF]

open access: yesGeoscientific Instrumentation, Methods and Data Systems, 2020
Bidirectional muographic measurements were conducted at the Imashirozuka burial mound, Japan. The mound was built in the beginning of the 6th century as a megalithic tomb and later collapsed after a landslide caused by the 1596 Fushimi earthquake, one of
H. K. M. Tanaka   +4 more
doaj   +1 more source

Prototype Cherenkov detector characterization for muon tomography applications

open access: yesNuclear Physics B
Muography is an innovative imaging technique using naturally produced elementary particles – atmospheric muons – used to determine the distribution of density inside massive objects.
T. Avgitas   +3 more
doaj   +1 more source

Simulation Study of 3D Imaging Method for Low and Medium Atomic Number Objects at Small Scale by Cosmic-ray Muon

open access: yesYuanzineng kexue jishu, 2022
Cosmic-ray muon imaging is a new non-destructive technique that uses highly penetrating natural muon to reconstruct objects with high atomic number (Z) or subjects hidden in something by applying muon scattering or transmission technique, respectively ...
JI Xuantao;LUO Siyuan;ZHU Kun;PENG Xiaoyu;ZHU Jin;XIAO Min;LUO Fengjiao;WANG Xiaodong
doaj  

Characterization and Performance Assessment of a SiPM-Based Muon Detector

open access: yesInstruments
We present the upgrade and performance evaluation of a silicon photomultiplier (SiPM)-based muon detector, originally designed and developed 15 years ago for radiation tracking applications in radiographic imaging with cosmic muons.
Luigi Cimmino   +11 more
doaj   +1 more source

Nuclear emulsion techniques for muography

open access: yesAnnals of Geophysics, 2017
Nuclear emulsions are currently being used in the field of muography, more specifically muon radiography of volcanic edifices and fault regions. The peculiar features of such detector for cosmic muons demand appropriate data processing and analysis techniques.
BOZZA, Cristiano   +11 more
openaire   +4 more sources

Background suppression for volcano muography with machine learning

open access: yesMachine Learning: Science and Technology
A machine learning (ML) algorithm (deep neural network) is presented to suppress background in muography applications mainly targeting volcanoes. Additionally it could be applied for large scale geological structures, such as ophiolites.
Gábor Galgóczi   +3 more
doaj   +1 more source

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