Relevant bibliographies by topics / Muon imaging

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Muon imaging'

Author: Grafiati
Published: 5 June 2025
Last updated: 24 June 2025

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Journal articles on the topic "Muon imaging"

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Yang, Guangliang, Tony Clarkson, Simon Gardner, et al. "Novel muon imaging techniques." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 377, no. 2137 (2018): 20180062. http://dx.doi.org/10.1098/rsta.2018.0062.

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Owing to the high penetrating power of high-energy cosmic ray muons, muon imaging techniques can be used to image large bulky objects, especially objects with heavy shielding. Muon imaging systems work just like CT scanners in the medical imaging field—that is, they can reveal information inside of a target. There are two forms of muon imaging techniques: muon absorption imaging and muon multiple scattering imaging. The former is based on the flux attenuation of muons, and the latter is based on the multiple scattering of muons in matter. The muon absorption imaging technique is capable of imaging very large objects such as volcanoes and large buildings, and also smaller objects like spent fuel casks; the muon multiple scattering imaging technique is best suited to inspect smaller objects such as nuclear waste containers. Muon imaging techniques can be applied in a broad variety of fields, i.e. from measuring the magma thickness of volcanoes to searching for secret cavities in pyramids, and from monitoring the borders of countries checking for special nuclear materials to monitoring the spent fuel casks for nuclear safeguards applications. In this paper, the principles of muon imaging are reviewed. Image reconstruction algorithms such as Filtered Back Projection and Maximum Likelihood Expectation Maximization are discussed. The capability of muon imaging techniques is demonstrated through a Geant4 simulation study for imaging a nuclear spent fuel cask. This article is part of the Theo Murphy meeting issue ‘Cosmic-ray muography’.
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Harel, A., and D. Yaish. "Lingacom muography." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 377, no. 2137 (2018): 20180133. http://dx.doi.org/10.1098/rsta.2018.0133.

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Lingacom Ltd develops detectors for muography—imaging using cosmic-ray muons—together with imaging algorithms and tools. We present selected simulation results from muon imaging of cargo conta- iners, from a joint muon and X-ray imaging algorithm, and for ground surveys using borehole detectors. This article is part of the Theo Murphy meeting issue ‘Cosmic-ray muography’.
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Bae, JungHyun, Rose Montgomery, and Stylianos Chatzidakis. "Enhanced material identification via momentum-integrated muon scattering tomography." Nuclear Science and Technology Open Research 2 (April 29, 2024): 42. http://dx.doi.org/10.12688/nuclscitechnolopenres.17545.1.

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Background Cosmic ray muons, originating from interactions in the upper atmosphere, possess high energy and unique penetrative capabilities suitable for non-traditional radiographic inspection. This study explores their application in various fields such as nuclear fuel cask monitoring, nuclear reactor imaging, and archaeology, leveraging the principle of multiple Coulomb scattering for imaging dense materials. While muon scattering tomography has shown promise, accurately measuring muon momentum remains challenging. Methods This research introduces the Momentum Integrated Point-of-Closest Approach (mPoCA) algorithm, integrating muon momentum data into the traditional Point-of-Closest Approach (PoCA) framework. Utilizing the Cherenkov muon spectrometer, renowned for precise muon momentum estimation, the mPoCA algorithm offers a novel imaging approach. Results Simulations conducted with GEANT4 evaluate the mPoCA algorithm’s performance against the standard PoCA method, demonstrating superior image resolution and enhanced material identification capabilities, particularly in distinguishing materials like uranium and lead. Conclusions These findings underscore the potential of the mPoCA algorithm for advancing muon scattering tomography applications.
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Cimmino, Luigi. "Principles and Perspectives of Radiographic Imaging with Muons." Journal of Imaging 7, no. 12 (2021): 253. http://dx.doi.org/10.3390/jimaging7120253.

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Radiographic imaging with muons, also called Muography, is based on the measurement of the absorption of muons, generated by the interaction of cosmic rays with the earth’s atmosphere, in matter. Muons are elementary particles with high penetrating power, a characteristic that makes them capable of crossing bodies of dimensions of the order of hundreds of meters. The interior of bodies the size of a pyramid or a volcano can be seen directly with the use of this technique, which can rely on highly segmented muon trackers. Since the muon flux is distributed in energy over a wide spectrum that depends on the direction of incidence, the main difference with radiography made with X-rays is in the source. The source of muons is not tunable, neither in energy nor in direction; to improve the signal-to-noise ratio, muography requires large instrumentation, long time data acquisition and high background rejection capacity. Here, we present the principles of the Muography, illustrating how radiographic images can be obtained, starting from the measurement of the attenuation of the muon flux through an object. It will then be discussed how recent technologies regarding artificial intelligence can give an impulse to this methodology in order to improve its results.
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Miyadera, Haruo, Christopher Morris, Jeffery Bacon, et al. "ICONE23-1569 FUKUSHIMA DAIICHI MUON IMAGING." Proceedings of the International Conference on Nuclear Engineering (ICONE) 2015.23 (2015): _ICONE23–1—_ICONE23–1. http://dx.doi.org/10.1299/jsmeicone.2015.23._icone23-1_265.

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Su, Ning, Yuan-Yuan Liu, Li Wang, and Jian-Ping Cheng. "Muon radiography simulation for underground palace of Qinshihuang Mausoleum." Acta Physica Sinica 71, no. 6 (2022): 064201. http://dx.doi.org/10.7498/aps.71.20211582.

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Muon radiography is a nondestructive imaging technology based on the naturally existing cosmic ray muons. Because cosmic ray muons have the strong ability to penetrate, muon radiography in which the absorption of muons through matter is utilized, is especially suitable for the imaging of large-scale objects. While the traditional geophysical technologies used in archeology have some limitations, muon radiography is expected to become a powerful supplement in the nondestructive detection of large-scale cultural relics. Based on Monte Carlo simulation method Geant4, the muon radiography of the underground palace of Qinshihuang Mausoleum is studied in this work. A model of the underground palace of Qinshihuang Mausoleum is set up with GEANT4 program according to the data acquired by the previous archaeological study of Qinshihuang Mausoleum’s inner structure, as well as a reference model without these inner structure. By investigating the differences between the muon fluxes obtained from the two models, the muon radiography image of the inner structure of the model can be obtained. During the simulation, the cosmic ray muon source is generated by sampling according to an empirical formula summarized by Reyna, which can accurately describe the energy spectrum and angular distribution of cosmic ray muons at sea level. In addition, two viewpoints are selected in order to determine the three-dimensional position of the chamber. The simulation data are processed by using an image reconstruction algorithm which can be described as the following three steps. Firstly, the counts of muons in different directions are converted into muon flux. Secondly, the muon flux of the reference model is deducted from that of the Qinshihuang Mausoleum model, and the angular coordinates of the chamber walls are determined. Finally, combined with the wall’s angular coordinates obtained from the two viewpoints and the relative position between the two viewpoints, the chamber size and its position are reconstructed according to the geometric relationship. The errors of the reconstructed chamber center position and the length of chamber walls are both approximately 7%. In this article, we conduct only a preliminary study of muon radiography applied to the nondestructive detection of Qinshihuang Mausoleum, but the results show that muon radiography can be a promising tool for the archeological study of Qinshihuang Mausoleum. In the follow-up study, more factors will be taken into consideration, including the details of Qinshihuang Mausoleum model, and the improvement of image reconstruction algorithm.
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Zhai, Jiajia, Meichan Feng, Bin Pan, et al. "Compact cosmic ray muon scattering imaging system based on plastic scintillating fibers." Journal of Instrumentation 19, no. 12 (2024): P12016. https://doi.org/10.1088/1748-0221/19/12/p12016.

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Abstract Muon scattering imaging is a non-destructive method that utilizes cosmic ray muons to image materials with different atomic numbers. In recent decades, multiple international research institutions have developed various detection systems and reconstruction algorithms for applications in nuclear reactor core monitoring, nuclear material imaging, border security screening, and nuclear non-proliferation. However, the methods for assessing the material discrimination capability of the corresponding system are not very intuitive. In this study, the design and construction of a cosmic ray muon imaging system based on plastic scintillating fibers are described. The system's material discrimination capability assessment method was designed based on theoretical calculations and physical analysis. Based on the detector position and angular resolution, joint simulation and experimental data analysis were conducted to evaluate the material discrimination and imaging capabilities of the cosmic ray muon system.
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Dash, Nitali, Sidhartha S Sahoo, and Manasi Goswami. "Exploring Muon Imaging: Principles, Applications, and Techniques." International Journal of Science and Research (IJSR) 14, no. 1 (2025): 1085–88. https://doi.org/10.21275/sr25122112148.

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Saracino, G., F. Ambrosino, L. Bonechi, et al. "Applications of muon absorption radiography to the fields of archaeology and civil engineering." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 377, no. 2137 (2018): 20180057. http://dx.doi.org/10.1098/rsta.2018.0057.

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Muon radiography, also known as muography, is an imaging technique that provides information on the mass density distribution inside large objects. Muons are naturally produced in the interactions of cosmic rays in the Earth's atmosphere. The physical process exploited by muography is the attenuation of the muon flux, that depends on the thickness and density of matter that muons cross in the course of their trajectory. A particle detector with tracking capability allows the measurement of the muons flux as a function of the muon direction. The comparison of the measured muon flux with the expected one gives information on the distribution of the density of matter, in particular, on the presence of cavities. In this article, the measurement performed at Mt. Echia in Naples (Saracino 2017 Sci. Rep. 7 , 1181. ( doi:10.1038/s41598-017-01277-3 )), will be discussed as a practical example of the possible application of muography in archaeology and civil engineering. This article is part of the Theo Murphy meeting issue ‘Cosmic-ray muography’.
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Venere, L. Di, G. Giavitto, F. Giordano, R. López-Coto, and R. Pillera. "A fast muon tagger method for Imaging Atmospheric Cherenkov Telescopes." Journal of Physics: Conference Series 1548, no. 1 (2020): 012036. http://dx.doi.org/10.1088/1742-6596/1548/1/012036.

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Abstract The Cherenkov Telescope Array (CTA) will be the next major observatory for Very High Energy gamma-ray astronomy. Its optical throughput calibration relies on muon Cherenkov rings. This work is aimed at developing a fast and efficient muon tagger at the camera level for the CTA telescopes. A novel technique to tag muons using the capabilities of silicon photomultiplier Compact High-Energy Camera CHEC-S, one of the design options for the camera of the small size telescopes, has been developed, studying and comparing different algorithms such as circle fitting with the Taubin method, machine learning using a neural network and simple pixel counting. Their performance in terms of efficiency and computation speed was investigated using simulations with varying levels of night sky background light. The application of the best performing method to the large size telescope camera has also been studied, to improve the speed of the muon preselection.
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Dissertations / Theses on the topic "Muon imaging"

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Frazao, Leonor. "Imaging and material identification of nuclear waste with muon scattering tomography." Thesis, University of Bristol, 2019. http://hdl.handle.net/1983/496e6d18-8328-4b54-8dfb-3e3ab7638822.

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Nuclear waste currently created and placed in interim storage is expected to be fully known and characterised, with records kept and regularly checked, per IAEA regulations. However, there is also historical nuclear waste that was created at a time when these records were not required and presumably the problem of nuclear waste disposal was not such a concern as it is today. Not only the initial materials stored may not be known, but they may also have undergone changes, such as the oxidation of uranium that produces hydrogen gas. This brings a demand for techniques to characterise nuclear waste that both make sure that its records are current, and that historical waste can also be fully characterised and properly taken for final disposal or long term storage. Muon scattering tomography is a technique that can be used for this purpose. It consists of measuring individual cosmic-ray muons before and after they cross the volume of interest, and obtaining the angular distribution of their scatter and related variables. The width of the angular distribution is larger for materials with higher atomic numbers, so it allows for high-Z materials to be found in concrete. Several methods were developed that, when combined, can give a description of the contents of nuclear waste. This starts with an imaging algorithm that can first find lumps of high-Z materials and then detect the edges of these materials with a good precision. The same algorithm can also be used to determine the amount of gas present in the containers. This thesis shows that this algorithm can measure the length of uranium blocks in concrete with a resolution of 3.2±0.6 mm when not using momentum information, for lengths down to 5 mm. A resolution of 0.98 ± 0.03 mm was obtained when including the muon momentum, for lengths down to 2 mm. In a following step, high-Z materials can be identified to verify if they come from nuclear fuel (uranium and plutonium), or if they are other materials such as lead and tungsten. It is shown that the distinction between uranium and lead or tungsten is possible for block sizes down to a cube of 2 cm side, with data taking times up to 70 hours. Some discrimination between uranium and plutonium was also obtained, for 3 cm side cubes and requiring more data, corresponding to 200 hours.
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Vernet, Kinson. "Imagerie densitométrique 3D des volcans par muographie." Electronic Thesis or Diss., Université Clermont Auvergne (2021-...), 2022. http://www.theses.fr/2022UCFAC112.

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La muographie est une technique d’imagerie en physique des particules où les muons atmosphériques traversant une cible sont utilisés pour déterminer des informations de l’intérieur de la cible : distribution de la densité ou composition chimique via le numéro atomique. En fonction de l’énergie des muons et de la quantité de matière à traverser, il y en a qui vont survivre et d’autres qui vont être arrêtés par la cible. Et, la diffusion des muons dépend, en première approximation, de leur impulsion et du numéro atomique moyen le long de leur parcours de vol. La muographie propose, à partir de la mesure de la transmission et/ou de la diffusion des muons à travers la cible, de fournir des informations sur son intérieur.Il existe actuellement deux types de muographie : la muographie par transmission où le flux transmis des muons à travers la cible est mesuré pour inférer la distribution de densité de la cible et la muographie par diffusion où la diffusion des muons à travers la cible est utilisée pour déterminer la distribution du numéro atomique de la cible. Cette thèse traite de la muographie par transmission pour radiographier les volcans.Dans le cas de la muographie par transmission, un télescope à muons est utilisé pour mesurer le flux transmis des muons atmosphériques à travers la cible. Ce flux est, en première approximation, une fonction bijective de la quantité de matière rencontrée par les muons. L’idée est d’inverser le nombre de muons mesurés en une estimation de la densité de la cible.Il existe d’autres méthodes d’imagerie en géophysique permettant de reconstruire la densité d’une cible. C’est le cas, par exemple, de la gravimétrie et de l’imagerie par sismicité. Ces méthodes dites conventionnelles présentent des faiblesses. Pour ces méthodes, le problème d’inversion est soit mal posé, c’est-à-dire il n’existe pas de solution unique ou la solution présente de grandes variations pour de petites variations des paramètres dont elle dépend. Un ensemble de contraintes supplémentaires sont alors ajoutées pour enlever la non-unicité.En muographie par contre, le problème d’inversion est bien posé et la solution est unique. Les méthodes conventionnelles en géophysique ne permettent pas, à elles seules, de déterminer la densité de la cible. Jointes avec la muographie, elles présentent de gros potentiel, soit en fournissant d’autres informations sur la roche et/ou sur la nature de l’eau, soit en améliorant la précision sur la reconstruction de la densité de la cible.Plusieurs expériences utilisent l’approximation CSDA (Continuous Slowing Down Approximation) pour estimer la probabilité de survie des muons à travers une cible. Le fait d’utiliser cette approximation, donc de négliger le caractère stochastique de l’interaction des muons avec la matière, sous-estime la probabilité de survie des muons et par conséquent induit des effets systématiques sur la reconstruction de la densité. Dans les kilomètres de roche standard l’effet est de 3% - 8% en fonction de la modélisation de l’interaction des muons de hautes énergies avec la matière. En outre, une mauvaise estimation du bruit de fond des muons de basse impulsion qui affectent la mesure du signal résulte en une sous-estimation de la densité de la cible par rapport à la gravimétrie. Cela vient probablement de l’utilisation de l’approximation analytique pour simuler la propagation des muons à travers la cible et de la difficulté de rejeter dans la mesure ceux de basse impulsion. Pour ces raisons, dans l’expérience MIM (Muon IMaging) (où cette thèse a été réalisée), nous utilisons un traitement Monte Carlo pour simuler le transport des muons à travers la cible. Dans ce cas, nous pouvons estimer précisément l’effet de ces muons de basse impulsion sur la reconstruction de la densité. (...)<br>Muography is an imaging technique in particle physics where atmospheric muons passing through a target are used to determine information about the interior of the target : density distribution or chemical composition via the atomic number. Depending on the energy of the muons and the amount of matter they have to cross, some of them will survive and others will be stopped by the target. And, the diffusion of the muons depends, to a first approximation, on their momentum and the average atomic number along their flight path. Muography proposes, from the measurement of the transmission and/or diffusion of muons through a target, to provide information about its interior.There are currently two types of muography : transmission muography, where the transmitted flux of muons through the target is measured to infer the density distribution of that target, and diffusion muography, where the diffusion of muons through the target is used to determine the distribution of the atomic number of the target. This thesis discusses transmission muography in order to radiography volcanoes.In the case of transmission muography, a muon telescope is used to measure the transmitted flux of atmospheric muons through the target. This flux is, to a first approximation, a bijective function of the amount of matter encountered by the muons. The idea is to invert the measured number of muons into a density estimation of the target.There are other imaging methods in geophysics that can be used to reconstruct the density of a target. This is the case, for example, of gravimetry and seismic imaging. These so-called conventional methods have weaknesses. For these methods, the inversion problem is either ill-posed, i.e. there is no unique solution, or the solution presents large variations for small variations of the parameters on which it depends. A set of additional constraints are then added to remove the non-uniqueness.In muography however, the inversion problem is well posed and the solution is unique. Conventional geophysical methods alone cannot determine the density of a target. Combined with muography, they have great potential, either by providing other information on the rock and/or on the nature of the water, or by improving the accuracy of the target density reconstruction.Several experiments use the CSDA (Continuous Slowing Down Approximation) approximation to estimate the survival probability of muons through a target. Using this approximation, thus neglecting the stochastic character of the interaction of muons with matter, underestimates the muon survival probability and therefore induces systematic effects on the density reconstruction. In standard rock kilometers the effect is 3% - 8% depending on the modeling of the interaction of high energy muons with matter. In addition, a bad estimation of the background of the low momentum muons affecting the measurement of the signal results in an underestimation of the density of the target with respect to the gravimetry. This probably comes from the use of the analytical approximation to simulate the propagation of the muons through the target and the difficulty of rejecting in the measurement those with low momentum. For these reasons, in the Muon IMaging (MIM) experiment (where this thesis was conducted), we use a Monte Carlo treatment to simulate the muon transport through the target. In this case, we can accurately estimate the effet of these low momentum muons on the density reconstruction. One of the techniques used in our experiment, to make the low momentum muons scatter so that they can be statistically rejected, is to insert a thickness of lead between the telescope detection planes. (...)
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Lefevre, Baptiste. "Imaging of a nuclear reactor during its decommissioning : muography and 3D tomography for model validation." Electronic Thesis or Diss., université Paris-Saclay, 2024. http://www.theses.fr/2024UPASP115.

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Cette thèse décrit les améliorations de l'analyse par imagerie muonique dans le cadre de la caractérisation du réacteur nucléaire G3 situé au CEA-Marcoule (France). En raison de la taille et de la composition du réacteur, la muographie est la seule méthode non invasive capable d'observer l'intérieur de la chambre en béton hermétique de G3. D'autres techniques, comme la tomographie par rayons X, ne sont pas suffisamment pénétrantes et présentent d'autres contraintes de déploiement, notamment radiologiques.Des muographies ont été prises sous le réacteur G3 afin d'observer ses parties internes depuis 46 points de vue différents. La collecte des données a duré un an et a utilisé 4 télescopes à muons construits au CEA/Irfu.Pour analyser ces données, de nouveaux développements ont été réalisés à plusieurs étapes de la chaîne d'analyse. Un nouveau démultiplexage a été développé pour les détecteurs de muons Micromegas, basé sur des réseaux de neurones entraînés avec des simulations de détecteurs. Les muographies obtenues ont été analysées afin d'estimer l'opacité du réacteur. Les images d'opacité ont ensuite été débruitées à l'aide d'un réseau de neurones à diffusion, ce qui a permis de réduire la durée d'acquisition.Une tomographie 3D a été calculée à partir des images d'opacité, permettant de reconstruire les parties internes du réacteur. La tomographie a subi un post-traitement par un réseau de neurones pour améliorer sa forme. Enfin, les opacités et la tomographie ont mis en évidence des différences entre le modèle du réacteur et son état actuel, principalement dans le bloc de chargement et le cœur de graphite<br>This thesis describes improvements in muon imaging analysis in the scope of a characterization of the G3 nuclear reactor located at CEA-Marcoule (France). Due to the size and composition of the reactor, muography is the only non invasive method capable of observing inside G3's airtight concrete chamber. Other techniques, as X-ray tomography, are not penetrating enough and present other deployment constraints, as radiological ones.Muography images were taken under the G3 reactor in order to observe its internal parts from 46 different points of view. The data-taking lasted 1 year and used 4 muon telescopes built at CEA/Irfu.To analyze this data, new developments were made at multiple steps of the analysis pipeline. A new demultiplexing was developed for the Micromegas muon detectors, based on neural networks trained with detector simulations. The muography images obtained were analyzed in order to estimate the opacity of the reactor. The opacity images were then denoised, using a denoising diffusion neural network, which make possible to decrease the acquisition duration.A 3D tomography was computed using the opacity images and allowed reconstructing the inner parts of the reactor. The tomography underwent a post-process by a neural network to improve its shape. Finally, the opacities and the tomography highlighted differences between the reactor model and its actual status, mainly in the loading block and the graphite core
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Chan, Yuen-ming Mary, Chun-kau Paul Lee, 李震球, and 陳婉明. "The known, the imagined, and the recreating Lei Yue Mun Village : the making and re-making of Hakka." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2012. http://hub.hku.hk/bib/B48344710.

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Cimmino, Luigi. "Inner Imaging of Large Structures Using Cosmic Muons: Design, Assembly and Commisioning of a Muon Telesope." Tesi di dottorato, 2014. http://www.fedoa.unina.it/9998/1/TesiPhD.pdf.

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Muon Radiography allows to map the density of a volcanic cone. It is based on the measurement of the attenuation of the flux of muons of cosmic origin inside the matter. The MU-RAY project has developed an innovative detector designed for the muon radiography. The main features are the low electric power consumption, robustness and transportability, high spatial resolution and muon time of flight measurement. A 1 m^2 detector prototype has been constructed and has been employed in measurement campaigns at Mt. Vesuvius for approximately 1 month in spring 2013, and at the Puy de Dˆome, France. In this thesis we show the principles of muon radiography, the state of art of the detectors for muon radiography, the MU-RAY detector design and realization and its last upgrades and improvements.
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Books on the topic "Muon imaging"

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Pietro, Carretta, and Lascialfari Alessandra, eds. NMR-MRI, þSR and Mössbauer spectroscopies in molecular magnets. Springer, 2007.

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(Editor), Pietro Carretta, and Alessandro Lascialfari (Editor), eds. NMR-MRI, µSR and Mössbauer Spectroscopies in Molecular Magnets. Springer, 2007.

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Book chapters on the topic "Muon imaging"

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Hebbeker, Thomas, and Kerstin Hoepfner. "Muon Spectrometers." In Handbook of Particle Detection and Imaging. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-13271-1_19.

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Hebbeker, Thomas, and Kerstin Hoepfner. "Muon Spectrometers." In Handbook of Particle Detection and Imaging. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-319-47999-6_19-2.

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Hebbeker, Thomas, and Kerstin Hoepfner. "Muon Spectrometers." In Handbook of Particle Detection and Imaging. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-319-93785-4_19.

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Yang, Guangliang, David Ireland, Ralf Kaiser, and David Mahon. "Machine Learning for Muon Imaging." In Advances in Brain Inspired Cognitive Systems. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-00563-4_79.

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Angelo, Milena D., Augusto Garuccio, Franco Romano, et al. "Toward “Ghost Imaging” with Cosmic Ray Muons." In Springer Proceedings in Physics. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-00297-2_24.

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Tripathy, Sridhar, Abhik Jash, Nayana Majumdar, Supratik Mukhopadhyay, Sandip Sarkar, and Satyajit Saha. "GEANT4 Simulation for Imaging of High-Z Materials Using Cosmic Ray Muons." In Springer Proceedings in Physics. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-7665-7_17.

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Hyung-ki, Shin. "Who Are ‘We’? The Dynamics of Consent and Coercion in Yi Mun-gu’s Our Neighbourhood." In Imagining Mass Dictatorships. Palgrave Macmillan UK, 2013. http://dx.doi.org/10.1057/9781137330697_11.

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Bryman, Douglas, James Bueno, Kris Davis, et al. "Muon Geotomography—Bringing New Physics to Orebody Imaging." In Building Exploration Capability for the 21st Century. Society of Economic Geologists, 2014. http://dx.doi.org/10.5382/sp.18.11.

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Ling, Xiaoqiao, and Young Kyun Oh. "Imagined Orality." In Ecologies of Translation in East and South East Asia, 1600-1900. Amsterdam University Press, 2022. http://dx.doi.org/10.5117/9789463729550_ch08.

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This chapter studies Mun Hanmyŏng’s 1885 manuscript edition of a thirteenth-century Chinese play The Western Wing. In his effort to make sense of the play (in classical Chinese with patterned colloquial elements and steeped in a performance tradition foreign to late nineteenthcentury Korean readers), Mun sought commonalities between the play and the literary Sinitic tradition in Korea by invoking orality as a hermeneutic device. Drawing upon words from Confucian teachers, the poetic canon, and spoken Korean expressions, Mun was able to ‘translate’ the play not by crossing linguistic and cultural barriers but by aligning an unfamiliar linguistic experience within Chosŏn’s existing Sinitic tradition in an imagined textual continuum, thus reinforcing the act of reading as an emotionally charged, communal experience for moral cultivation.
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Ling, Xiaoqiao, and Young Kyun Oh. "8 Imagined Orality. Mun Hanmyŏng’s Late Nineteenth-Century Approach to Sinitic Literacy." In Ecologies of Translation in East and South East Asia, 1600-1900. Amsterdam University Press, 2022. http://dx.doi.org/10.1515/9789048554119-010.

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Conference papers on the topic "Muon imaging"

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Liang, Zheng, Zebo Tang, Cheng Li, et al. "A Scintillation Detector for Muon Imaging System." In Technology & Instrumentation in Particle Physics. Sissa Medialab, 2025. https://doi.org/10.22323/1.468.0028.

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Papa, A. "A high-brightness low energy positive muon beam for future precision muon-based experiments." In 2024 IEEE Nuclear Science Symposium (NSS), Medical Imaging Conference (MIC) and Room Temperature Semiconductor Detector Conference (RTSD). IEEE, 2024. http://dx.doi.org/10.1109/nss/mic/rtsd57108.2024.10656226.

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Bezerra, T. J. C., B. J. Cattermole, A. Earle, et al. "Muon detection with an opaque scintillator detector prototype." In 2024 IEEE Nuclear Science Symposium (NSS), Medical Imaging Conference (MIC) and Room Temperature Semiconductor Detector Conference (RTSD). IEEE, 2024. http://dx.doi.org/10.1109/nss/mic/rtsd57108.2024.10657722.

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Buchin, D., F. Fallavollita, H. Kroha, et al. "Construction and performance of the small-diameter Muon Drift Tube Detectors for the upgrade of the ATLAS muon spectrometer at the High-Luminosity LHC." In 2024 IEEE Nuclear Science Symposium (NSS), Medical Imaging Conference (MIC) and Room Temperature Semiconductor Detector Conference (RTSD). IEEE, 2024. http://dx.doi.org/10.1109/nss/mic/rtsd57108.2024.10655046.

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Miyadera, Haruo, Christopher Morris, Jeffery D. Bacon, et al. "Cosmic-Ray Muon Imaging of Fukushima Daiichi." In 2014 22nd International Conference on Nuclear Engineering. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/icone22-30654.

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Reactor imaging using scattering of cosmic-ray muon is proposed to assess the damages to the reactors at Fukushima Daiichi. Simulation studies showed feasibility of the reactor imaging with muons, and the technique has been demonstrated at a research reactor, Toshiba Nuclear Critical Assembly, where the reactor core was imaged with spatial resolution of 3 cm after 1 month of exposure time.
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Bae, Junghyun, Stylianos Chatzidakis, and Robert Bean. "Effective Solid Angle Model and Monte Carlo Method: Improved Estimations to Measure Cosmic Muon Intensity at Sea Level in All Zenith Angles." In 2021 28th International Conference on Nuclear Engineering. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/icone28-63444.

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Abstract 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 incident angle (zenith angle, φ), and it is known that I(φ) = I0 cos2 φ at sea level. Low intensity of cosmic muon requires long measurement time to acquire statistically meaningful counts. Therefore, high-energy particle simulations e.g., GEANT4, are often used to guide measurement studies. However, the measurable cosmic muon count rate changes upon detector geometry and configuration. Here we develop an “effective solid angle” model to estimate experimental results more accurately than the simple cosine-squared model. We show that the cosine-squared model has large error at high zenith angles (φ ≥ 60°), whereas our model provides improved estimations at all zenith angles. We anticipate our model will enhance the ability to estimate actual measurable cosmic muon count rates in muon imaging applications by reducing the gap between simulation and measurement results. This will increase the value of modeling results and improve the quality of experiments and applications in muon detection and imaging.
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Jaenisch, Holger M., James W. Handley, Michael L. Hicklen, David C. Vineyard, Michael D. Ramage, and James M. Colthart. "Muon imaging and data modeling." In Defense and Security Symposium, edited by Edward M. Carapezza. SPIE, 2007. http://dx.doi.org/10.1117/12.741581.

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Preston, L. A., N. D. Bonal, D. J. Dorsey, D. Schwellenbach, W. Dreesen, and J. A. Green. "Density Estimation Using Muon Imaging." In Near Surface Geoscience 2015 - 21st European Meeting of Environmental and Engineering Geophysics. EAGE Publications BV, 2015. http://dx.doi.org/10.3997/2214-4609.201413662.

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Borozdin, Konstantin, Ralitza Vozdolska, John Kefalos, and Anthony Crego. "Muon Imaging Methods and Applications." In Digital Holography and Three-Dimensional Imaging. Optica Publishing Group, 2023. http://dx.doi.org/10.1364/dh.2023.htu5d.2.

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Radiographic techniques using cosmic-ray muons have a plethora of diverse applications, including material detection. We provide a historical review of the applications and highlight recent advancements based on machine learning, like accelerated imaging and de-blurring.
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Miyadera, Haruo, Tsukasa Sugita, Takuro Fujimaki, Yuki Nakai, Shuji Yamamoto, and Naoto Kume. "Cosmic-ray Muon Scattering for Nuclear Material Measurement." In Digital Holography and Three-Dimensional Imaging. Optica Publishing Group, 2023. http://dx.doi.org/10.1364/dh.2023.htu5d.3.

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Cosmic-ray muon scattering imaging is known to be sensitive to detect high atomic number materials and has potential applications in the nuclear industry. Simulation studies were carried out to test if the method can be applicable to estimate amounts of nuclear materials of Fukushima Daiichi debris.
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Reports on the topic "Muon imaging"

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Guardincerri, Elena. Imaging Brunelleschi's cupola wall using muon scattering radiography. Office of Scientific and Technical Information (OSTI), 2015. http://dx.doi.org/10.2172/1215804.

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Borozdin, Konstantin N., Christopher Morris, John O. Perry, and Jeffrey D. Bacon. Concept of One-Sided Imaging of SNM Based on Muon-Induced Fission Detection. Office of Scientific and Technical Information (OSTI), 2012. http://dx.doi.org/10.2172/1044087.

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Tsoukalas, Lefteri H. Creation of a Geant4 Muon Tomography Package for Imaging of Nuclear Fuel in Dry Cask Storage. Office of Scientific and Technical Information (OSTI), 2016. http://dx.doi.org/10.2172/1253948.

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Durham, J. Matthew. Imaging the Core of Fukushima Reactor With Muons. Office of Scientific and Technical Information (OSTI), 2015. http://dx.doi.org/10.2172/1188193.

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Durham, J. Matthew, and Arden Dougan. Imaging Spent Fuel in Dry Storage Casks with Cosmic Ray Muons. Office of Scientific and Technical Information (OSTI), 2015. http://dx.doi.org/10.2172/1225563.

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Yang, Haori, Jason Hayward, David Chichester, Can Liao, and Zhengzhi Liu. Final Technical Report: Imaging a Dry Storage Cask with Cosmic Ray Muons. Office of Scientific and Technical Information (OSTI), 2018. http://dx.doi.org/10.2172/1430598.

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