Relevant bibliographies by topics / Cosmic ray muon

Academic literature on the topic 'Cosmic ray muon'

Author: Grafiati
Published: 10 December 2022
Last updated: 29 January 2023

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Journal articles on the topic "Cosmic ray muon"

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Янчуковский, Валерий, Valery Yanchukovsky, Василий Кузьменко, and Vasiliy Kuzmenko. "Atmospheric effects of the cosmic-ray mu-meson component." Solar-Terrestrial Physics 4, no. 3 (September 28, 2018): 76–82. http://dx.doi.org/10.12737/stp-43201810.

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Variations in the intensity of cosmic rays observed in the depth of the atmosphere include the atmospheric component of the variations. Cosmic-ray muon telescopes, along with the barometric effect, have a significant temperature effect due to the instability of detected particles. To take into account atmospheric effects in muon telescope data, meteorological coefficients of muon intensity are found. The meteorological coefficients of the intensity of muons recorded in the depth of the atmosphere are estimated from experimental data, using various methods of factor analysis. The results obtained from experimental data are compared with the results of theoretical calculations.
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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 (December 10, 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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Schouten, Doug. "Muon geotomography: selected case studies." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 377, no. 2137 (December 10, 2018): 20180061. http://dx.doi.org/10.1098/rsta.2018.0061.

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Muon attenuation in matter can be used to infer the average material density along the path length of muons underground. By mapping the intensity of cosmic ray muons with an underground sensor, a radiographic image of the overburden above the sensor can be derived. Multiple such images can be combined to reconstruct a three-dimensional density model of the subsurface. This article summarizes selected case studies in applying muon tomography to mineral exploration, which we call muon geotomography. This article is part of the Theo Murphy meeting issue ‘Cosmic-ray muography’.
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Majumdar, Nayana, Sridhar Tripathy, Subhendu Das, Purba Bhattacharya, Supratik Mukhopadhyay, and Sandip Sarkar. "Muon tomography using cosmic-ray muons." Journal of Physics: Conference Series 2349, no. 1 (September 1, 2022): 012008. http://dx.doi.org/10.1088/1742-6596/2349/1/012008.

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The paper discusses about the R&D of a setup for muon tomography utilizing the scattering suffered by the muons due to electromagnetic interaction with the atomic nuclei while passing through any matter. The design of the setup has been optimized using numerical simulation for material discrimination and for further application in inspection of civil structures. An image processing algorithm based on pattern recognition method has been developed and tested for its performance in distinguishing between light and heavy elements and detecting defects in civil structures. The hardware developmental activities related to the muon tracking detectors and data acquisition system have been discussed.
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Bae, Junghyun, and Stylianos Chatzidakis. "Momentum-Dependent Cosmic Ray Muon Computed Tomography Using a Fieldable Muon Spectrometer." Energies 15, no. 7 (April 5, 2022): 2666. http://dx.doi.org/10.3390/en15072666.

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Cosmic ray muon tomography has been recently explored as a non-destructive technique for monitoring or imaging dense well-shielded objects, classically not achievable with traditional tomographic methods. As a recent example of technology transition from high-energy physics to real-world engineering applications, cosmic ray muon tomography has been used with various levels of success in nuclear nonproliferation. However, present muon detection systems have no momentum measurement capabilities and recently developed muon-based radiographic techniques rely only on muon tracking. This unavoidably reduces resolution and requires longer measurement times thus limiting the widespread use of cosmic ray muon tomography. Measurement of cosmic ray muon momenta has the potential to significantly improve the efficiency and resolution of cosmic ray muon tomography. In this paper, we propose and explore the use of momentum-dependent cosmic ray muon tomography using multi-layer gas Cherenkov radiators, a new concept for measuring muon momentum in the field. The muon momentum measurements are coupled with a momentum-dependent imaging algorithm (mPoCA) and image reconstructions are presented to demonstrate the benefits of measuring momentum in cosmic ray muon tomography.
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Янчуковский, Валерий, Valery Yanchukovsky, Василий Кузьменко, and Vasiliy Kuzmenko. "Atmospheric effects of the cosmic-ray mu-meson component." Solnechno-Zemnaya Fizika 4, no. 3 (September 28, 2018): 95–102. http://dx.doi.org/10.12737/szf-43201810.

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Variations in the intensity of cosmic rays observed in the depth of the atmosphere include the atmospheric component of the variations. Cosmic-ray muon telescopes, along with the barometric effect, have a significant temperature effect due to the instability of detected particles. To take into account atmospheric effects in muon telescope data, meteorological coeffi-cients of muon intensity are found. The meteorological coefficients of the intensity of muons recorded in the depth of the atmosphere are estimated from experi-mental data, using various methods of factor analysis. The results obtained from experimental data are com-pared with the results of theoretical calculations.
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MA, YUQIAN. "COSMIC RAY MUON MEASUREMENT BY L3 SPECTROMETER AT CERN." Modern Physics Letters A 16, no. 26 (August 30, 2001): 1667–70. http://dx.doi.org/10.1142/s0217732301004819.

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L3 + C is a branch experiment on L3 magnet spectrometer, which is located on the ring of LEP accelerator at CERN. To take the advantage of L3 muon chambers in its low threshold, wide dynamic range and high resolution, the momentum of cosmic ray muons in the range of 15–2000 GeV/c at a shallow depth of 30 m of molasse can be measured precisely. Since 1998, a scintillator detector system, a new fast trigger and DAQ system, and a small air shower array had been established for study the CR muon events independently. Up to August 2000, 8 billion muons and 25 million air shower events had been recorded. The first results for CR muon spectrum and the charge ratio etc. had been obtained.
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Fedynitch, A., W. Woodley, and M. C. Piro. "On the Accuracy of Underground Muon Intensity Calculations." Astrophysical Journal 928, no. 1 (March 1, 2022): 27. http://dx.doi.org/10.3847/1538-4357/ac5027.

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Abstract 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 underground muons has nearly faded away because space-borne experiments probe the cosmic-ray spectrum more directly, and accelerators provide precise measurements of hadron yields. However, underground muons probe unique hadron interaction energies and phase space, which are still inaccessible to present accelerator experiments. The cosmic-ray nucleon energies reach the hundred-TeV and PeV ranges, which are barely accessible with space-borne experiments. Our new calculation combines two modern computational tools: mceq for surface muon fluxes and proposal for underground transport. We demonstrate excellent agreement with measurements of cosmic-ray muon intensities underground within estimated errors. Beyond that, the precision of historical data turns out to be significantly smaller than our error estimates. This result shows that the sources of high-energy atmospheric lepton flux uncertainties at the surface or underground can be significantly constrained without taking more data or building new detectors. The reduction of uncertainties can be expected to impact data analyses at large-volume neutrino telescopes and be used for the design of future ton-scale direct dark matter detectors.
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Abratenko, P., R. An, J. Anthony, L. Arellano, J. Asaadi, A. Ashkenazi, S. Balasubramanian, et al. "Cosmic ray muon clustering for the MicroBooNE liquid argon time projection chamber using sMask-RCNN." Journal of Instrumentation 17, no. 09 (September 1, 2022): P09015. http://dx.doi.org/10.1088/1748-0221/17/09/p09015.

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Abstract In this article, we describe a modified implementation of Mask Region-based Convolutional Neural Networks (Mask-RCNN) for cosmic ray muon clustering in a liquid argon TPC and applied to MicroBooNE neutrino data. Our implementation of this network, called sMask-RCNN, uses sparse submanifold convolutions to increase processing speed on sparse datasets, and is compared to the original dense version in several metrics. The networks are trained to use wire readout images from the MicroBooNE liquid argon time projection chamber as input and produce individually labeled particle interactions within the image. These outputs are identified as either cosmic ray muon or electron neutrino interactions. We find that sMask-RCNN has an average pixel clustering efficiency of 85.9% compared to the dense network's average pixel clustering efficiency of 89.1%. We demonstrate the ability of sMask-RCNN used in conjunction with MicroBooNE's state-of-the-art Wire-Cell cosmic tagger to veto events containing only cosmic ray muons. The addition of sMask-RCNN to the Wire-Cell cosmic tagger removes 70% of the remaining cosmic ray muon background events at the same electron neutrino event signal efficiency. This event veto can provide 99.7% rejection of cosmic ray-only background events while maintaining an electron neutrino event-level signal efficiency of 80.1%. In addition to cosmic ray muon identification, sMask-RCNN could be used to extract features and identify different particle interaction types in other 3D-tracking detectors.
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Dorman, L. I., and I. V. Dorman. "Cosmic-ray atmospheric electric field effects." Canadian Journal of Physics 73, no. 7-8 (July 1, 1995): 440–43. http://dx.doi.org/10.1139/p95-063.

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Experimental data on the atmospheric electric field effect in the cosmic-ray muon component are discussed on the basis of the general theory of cosmic-ray meteorological effects. In this framework, we develop the theory of atmospheric electric field effects in the hard- and soft-muons of secondary cosmic rays and in the neutron-monitor counting rates as well. We show that the experimental results can be understood on the basis of this theory. We also show that a sufficient atmospheric electric field effect in the cosmic-ray neutron component is to be expected because the neutron monitors work as analyzers of soft muons and really detect only negative muons as well as neutrons.
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Dissertations / Theses on the topic "Cosmic ray muon"

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Quintero, Eric Antonio. "The cosmic ray muon energy spectum via Čerenkov radiation." Thesis, Massachusetts Institute of Technology, 2010. http://hdl.handle.net/1721.1/61261.

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Thesis (S.B.)--Massachusetts Institute of Technology, Dept. of Physics, 2010.
Cataloged from PDF version of thesis.
Includes bibliographical references (p. [55]).
In this thesis, I designed and constructed a basic Cerenkov detector to measure the energy spectrum of cosmic ray muons for use in the graduate experimental physics courses, 8.811/2. The apparatus consists of a light-tight central volume with a phototube to detect the Cerenkov radiation of muons whose speed is higher than the speed of light in the medium with which the volume is filled. The measurement is triggerd by coincidence in scintillating detectors above and below the volume. I constructed a signal chain for measurement, collected data for muon energies with the goal of constructing the muon energy spectrum from different Cerenkov spectra. In the range 20-100 GeV, the spectrum is found to obey a power law with exponent -a = -2.90 t .04, which compares well to the value of -2.844 found in the literature. In addition, calculations and considerations were made to aid in the use of this apparatus in a pedagogical manner.
by Eric Antonio Quintero.
S.B.
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Bullock, A. D. "The determination of the muon content of EAS from CygnusX-3." Thesis, University of Nottingham, 1988. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.384303.

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Kwok, Talent, and 郭天能. "Cosmic-ray muon in the Aberdeen Tunnel laboratory in Hong Kong." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2011. http://hub.hku.hk/bib/B45961372.

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Yifan, Zheng. "Research on a material discrimination method by cosmic ray muon tomography." Thesis, KTH, Fysik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-231331.

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Camp, David L. "Using a two-scintillator paddle telescope for cosmic ray flux measurements." Digital Archive @ GSU, 2012. http://digitalarchive.gsu.edu/phy_astr_theses/17.

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A two-scintillator paddle muon telescope with variable angular acceptance at the earth's surface was used to study correlations between flux distribution and barometric pressure. The detector was placed in 2 different locations around Georgia State University with varying paddle separations of 0, 7, and 14 inches. Correlation and anti-correlation analyses were conducted by using the muon count from the detector along with the barometric pressure, surface temperature, stratospheric temperature and solar activity. It was observed that there was a short and long-term variation relationship between cosmic ray counts and barometric pressure and also cosmic ray counts and temperature. No significant relationship was found between cosmic ray flux and solar activity. A new two-scintillator paddle telescope with larger detecting area was constructed in order to observe a stronger correlation between cosmic ray flux and pressure.
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Saich, M. R. "The muon content of cosmic ray air showers 10sup(16) - 10sup(17) eV." Thesis, University of Nottingham, 1985. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.356037.

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Ngai, Ho-yin, and 倪浩然. "Measurement of cosmic-ray muon induced neutrons in the Aberdeen Tunnelunderground laboratory in Hong Kong." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2012. http://hub.hku.hk/bib/B47249250.

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The Daya Bay reactor neutrino experiment aims to determine sin2 2θ13 with a sensitivity of 0.01 or better at 90% confidence level. One of the major backgrounds to neutrino measurements is the muon-induced neutrons. An ex- periment had been set up inside the Aberdeen Tunnel laboratory, Hong Kong, to study spallation neutrons induced by cosmic-ray muons in an underground environment similar to the Daya Bay experiment. The Aberdeen Tunnel laboratory is 22 m above sea level at 22:23?N and 114:6?E. The amount of overburden is approximately 235 m of rocks, which is equivalent to 611 m.w.e. Rock compositions in the Aberdeen Tunnel area is similar to that in Daya Bay. MUSIC simulation results showed that in the laboratory the mean energy of muons 〈Eμ〉= 122 GeV and the integrated muon intensity I = 9:64 X10??6 cm??2 s??1. A Bonner Spheres Neutron Spectrometer (BSS) was developed to measure the ambient neutron energy spectrum. The BSS consists of a thermal neutron detector and a set of eight polyethylene spherical shells. The overall detection efficiency of the BSS was (96:7 +3:3 ??13:1)% with a detector background rate of (1:96_0:03)_10??3 s??1. The total neutron fluence rate measured at the Surface Assembly Building (SAB) of the Daya Bay experiment was (5:20 +0:81 ??0:44) _ 10??3 cm??2 s??1, which agreed with the neutron fluence rate measured in the air/ground interface in Taiwan. The unfolded SAB neutron energy spectrum showed a clear thermal-neutron peak around 20 meV and a cascade peak around 100 MeV. Detectable number of neutrons could be seen at 1 GeV. The neutron fluence rate measured at the Aberdeen Tunnel (ABT) laboratory was significantly higher then some other underground laboratories. The unfolded ABT neutron energy spectrum showed a pronounced evaporation peak around 1 MeV, and a sup- pression in the cascade peak. Detections of muon-induced neutrons inside the Aberdeen Tunnel laboratory is achieved by a Muon Tracker and a Neutron Detector. The Muon Tracker consists of three main layers of crossed plastic scintillator hodoscopes capable of determining the incoming direction of muons. The average efficiency for most of the hodoscopes was above 95%. The Neutron Detector consists of about 760 L of gadolinium-doped liquid scintillator and sixteen photomultiplier tubes. The liquid scintillator target is shield by about 1900 L of mineral oil from external radiations. The overall average detection efficiency of muon-induced neutrons was about 16%. The measurement of muon-induced neutrons in the Aberdeen Tunnel lab- oratory started from June 2011, with a total live time of about 30 days. The average rate of the accepted muon events was 0.013 Hz. The muon-induced neutron yield was determined to be Nn = (8:5 _ 0:4(syst.) _ 1:8(stat.)) _ 10??5 neutron/(μg cm??2). This value agreed with the parametrization of FLUKA-1999 simulation results if the muon energy dependence of muon-induced neutron yields was considered.
published_or_final_version
Physics
Doctoral
Doctor of Philosophy
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Cui, Kexi, and 崔科晰. "Analysis of cosmic-ray-muon induced spallation neutrons in Aberdeen Tunnel experiment in Hong Kong." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2014. http://hdl.handle.net/10722/197506.

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The muon-induced radioactive isotopes, especially neutrons, are dangerous background component for rare-event detection in underground experiments, like neutrino-less double-beta decay and dark matter search. Understanding these cosmogenic backgrounds is crucial for these experiments. An underground experiment aiming at measuring the cosmic-ray muons' flux and their neutron production yield in liquid scintillator through spallation process is being carried out in the Aberdeen Tunnel laboratory located in Hong Kong with a total vertical overburden of 235 m of rocks (611 m.w.e.). The Aberdeen Tunnel detection system is constituted of a Muon Tracker (MT) for muon tagging and a Neutron Detector (ND) for neutron detection. The MT consists of 60 plastic scintillator hodoscopes to determine the incoming muon direction and the ND is a two-zone detector containing 760 L of gadolinium-doped liquid scintillator as target volume and 1900 L of mineral oil as shields. The experiment has been taking data stably since 2012. To obtain reliable results, the detector performance and the stability of the experiment have been studied in this work. Muon-induced fast neutrons can be captured in Gd-LS with characteristic energies released and the capture time follows a characteristic exponential distribution. By using the capture time and energy information, we can select the neutron candidates and thus calculate the neutron production yield. The energy of a neutron capture event is reconstructed from the calibrated photo-multiplier tube signals, while the directions of cosmic-ray muons can be reconstructed from the MT. The mean energy of the incoming muons that pass the selection criteria was estimated by a simulation code MUSIC that transported atmospheric muon spectrum through the mountains to the laboratory, and is found to be 92 GeV. The neutron production yield is calculated to be Yn = (3:28 ±0:12(sta:) ±0:24(sys:)) X 〖10〗^(-4) (n/μ〖gcm〗^(-2)) for both the showering muon and single muon events. This result is about two times higher than the expectation value from previous simulations and experiments. The neutron production yield of the single muons is calculated to be Yn = (1:04 ± 0:08(sta:) ± 0:07(sys:)) X 〖10〗^(-4) (n/μ〖gcm〗^(-2)). This reveals a enhancement of the neutron production from the muons accompanied by showers.
published_or_final_version
Physics
Master
Master of Philosophy
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Edwards, Peter J. "A study of the muon content of EAS initiated by the UHE gamma-ray emission from Cygnus X-3." Thesis, University of Nottingham, 1990. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.238238.

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Nutbeam-Tuffs, Sian Louise. "A prototype scintillating fibre tracker for the cosmic-ray muon tomography of legacy nuclear waste containers." Thesis, University of Glasgow, 2014. http://theses.gla.ac.uk/5870/.

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Tomographic imaging techniques using the Coulomb scattering of cosmic-ray muons are increasingly being exploited for the non-destructive assay of shielded containers in a wide range of applications. One such application is the characterisation of legacy nuclear waste materials stored within industrial containers. The design, assembly and performance of a prototype muon tomography system developed for this purpose are detailed in this thesis. This muon tracker consists of two tracking modules above and below the volume to be assayed. Each module comprises two orthogonal planes of 2mm fibres. The modular configuration allows the reconstruction of the initial and scattered muon trajectories which enable the container content, with respect to atomic number Z, to be determined. Fibre signals are read out by Hamamatsu H8500 MAPMTs with two fibres coupled to each pixel via dedicated pairing schemes developed to avoid space point ambiguities and retain the high spatial resolution of the fibres. The design, component tests and assembly of the detector system are detailed and presented alongside results from commissioning and performance studies with data collected after construction. These results reveal high stability during extended collection periods with detection efficiencies in the region of 80% per layer. Minor misalignments of millimetre order have been identified and corrected in software. A GEANT4 simulation was created and used for testing image reconstruction algorithms and for comparison to experimental scenario. A likelihood-based image reconstruction algorithm was developed and is described with reconstructed image results from simulated and experimental data for various scenarios are presented. These results verify the simulation and show discrimination between the low, medium and high-Z materials imaged and highlight the high spatial resolution provided by the detector system.
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Books on the topic "Cosmic ray muon"

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A search for muon neutrino to electron neutrino oscillations in the MINOS experiment. New York: Springer, 2011.

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Mine, Shun'ichi. Systematic measurement of the spin-polarization of the cosmic-ray muons. Tokyo, Japan: Institute for Nuclear Study, University of Tokyo, 1996.

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Homage to the Discovery of Cosmic Rays, the Meson-muon and Solar Cosmic Rays. Nova Science Pub Inc, 2013.

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Perez-Peraza, Jorge A. Homage to the Discovery of Cosmic Rays, the Meson-Muon and Solar Cosmic Rays. Nova Science Publishers, Incorporated, 2015.

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Ochoa-Ricoux, Juan Pedro. A Search for Muon Neutrino to Electron Neutrino Oscillations in the MINOS Experiment. Springer, 2011.

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Ochoa-Ricoux, Juan Pedro. Search for Muon Neutrino to Electron Neutrino Oscillations in the MINOS Experiment. Springer, 2011.

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Ochoa-Ricoux, Juan Pedro. A Search for Muon Neutrino to Electron Neutrino Oscillations in the MINOS Experiment. Springer, 2013.

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Book chapters on the topic "Cosmic ray muon"

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Wilson, John G. "The “Magnet House” and the Muon." In Early History of Cosmic Ray Studies, 145–60. Dordrecht: Springer Netherlands, 1985. http://dx.doi.org/10.1007/978-94-009-5434-2_14.

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Cas Milner, E. "Overview of the Gem Muon System Cosmic Ray Test Program at the SSCL." In Supercollider 5, 415–18. Boston, MA: Springer US, 1994. http://dx.doi.org/10.1007/978-1-4615-2439-7_99.

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Wibig, Tadeusz. "The artificial neural networks in cosmic ray physics experiment; I. Total muon number estimation." In Tasks and Methods in Applied Artificial Intelligence, 867–76. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/3-540-64574-8_473.

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Lee, T. D., H. Robinson, M. Schwartz, and R. Cool. "Intensity of Upward Muon Flux due to Cosmic-Ray Neutrinos Produced in the Atmosphere." In Selected Papers, 155–58. Boston, MA: Birkhäuser Boston, 1986. http://dx.doi.org/10.1007/978-1-4612-5397-6_21.

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Morse, R. "Too Many Muons from Cosmic Accelerators?" In Very High Energy Gamma Ray Astronomy, 197–220. Dordrecht: Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-009-3831-1_32.

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Bagge, Erich R. "When Muons and Pions were Born." In Early History of Cosmic Ray Studies, 161–64. Dordrecht: Springer Netherlands, 1985. http://dx.doi.org/10.1007/978-94-009-5434-2_15.

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Angelo, Milena D., Augusto Garuccio, Franco Romano, Francesco Di Lena, Marco D. Incecco, Roberto Moro, Antonietta Regano, and Giuliano Scarcelli. "Toward “Ghost Imaging” with Cosmic Ray Muons." In Springer Proceedings in Physics, 237–47. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-00297-2_24.

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Vankov, Ch P., and J. N. Stamenov. "Hadron and Muon Components in Photon Shower at 1015 eV." In Genesis and Propagation of Cosmic Rays, 255–60. Dordrecht: Springer Netherlands, 1988. http://dx.doi.org/10.1007/978-94-009-4025-3_16.

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Cherry, M. L., S. Corbato, D. Kieda, K. Lande, and C. K. Lee. "Monopoles, Muons, Neutrinos, and Cygnus X−3." In Genesis and Propagation of Cosmic Rays, 261–92. Dordrecht: Springer Netherlands, 1988. http://dx.doi.org/10.1007/978-94-009-4025-3_17.

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Aad, G., B. Abbott, J. Abdallah, A. A. Abdelalim, A. Abdesselam, O. Abdinov, B. Abi, et al. "Commissioning of the ATLAS Muon Spectrometer with cosmic rays." In The Performance of the ATLAS Detector, 101–42. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-22116-3_4.

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Conference papers on the topic "Cosmic ray muon"

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Miyadera, Haruo, Christopher Morris, Jeffery D. Bacon, Konstantin N. Borozdin, Kyouichi Fujita, Naoto Kume, Shinya Mizokami, 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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Xiong, Zuo, Gang Xiao, Feng Shaohui, Xiurong Li, Cong Li, Ning Cheng, Lingyu Wang, et al. "Calibration and monitoring of LHAASO-KM2A muon detectors with muon decay events." In 35th International Cosmic Ray Conference. Trieste, Italy: Sissa Medialab, 2017. http://dx.doi.org/10.22323/1.301.0441.

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Pustilnik, Lev, Marina Berkova, Alexandr Osipenko, Artem Abunin, Maxim Preobrazhensky, Zhang Ji Long, Lu Hong, Mery Zazyan, Marina Ganeva, and Victor Yanke. "Meteorological effects of muon component at the mountain muon detectors." In The 34th International Cosmic Ray Conference. Trieste, Italy: Sissa Medialab, 2016. http://dx.doi.org/10.22323/1.236.0353.

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Yurina, E. A., N. S. Barbashina, A. G. Bogdanov, S. S. Khokhlov, V. V. Kindin, R. P. Kokoulin, K. G. Kompaniets, et al. "Measurements of the average muon energy in inclined muon bundles in the NEVOD-DECOR experiment." In 37th International Cosmic Ray Conference. Trieste, Italy: Sissa Medialab, 2021. http://dx.doi.org/10.22323/1.395.0383.

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Prihtiadi, Hafizh. "Muon detector and muon flux measurement at Yangyang Underground Laboratory for the COSINE-100 Experiment." In 35th International Cosmic Ray Conference. Trieste, Italy: Sissa Medialab, 2017. http://dx.doi.org/10.22323/1.301.0883.

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Zhai, Liuming. "Hadronic interactions and EAS muon multiplicity investigated with the new Tibet hybrid experimental muon data." In 36th International Cosmic Ray Conference. Trieste, Italy: Sissa Medialab, 2019. http://dx.doi.org/10.22323/1.358.0487.

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Springer, Wayne Robert, Ahron Barber, and Dave Kieda. "Simulation of Near Horizontal Muons and Muon Bundles for the HAWC Observatory with CORSIKA." In 35th International Cosmic Ray Conference. Trieste, Italy: Sissa Medialab, 2017. http://dx.doi.org/10.22323/1.301.0511.

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Sapienza, Piera, and Agata Trovato. "Muon track reconstruction and muon energy estimate in the KM3NeT/ARCA detector." In The 34th International Cosmic Ray Conference. Trieste, Italy: Sissa Medialab, 2016. http://dx.doi.org/10.22323/1.236.1114.

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Reininghaus, Maximilian, Ralf Ulrich, and Tanguy Pierog. "Air shower genealogy for muon production." In 37th International Cosmic Ray Conference. Trieste, Italy: Sissa Medialab, 2021. http://dx.doi.org/10.22323/1.395.0463.

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Banjanac, R., A. Dragić, D. Joković, V. Udovičić, J. Puzović, and I. Aničin. "Cosmic-ray Muon Flux In Belgrade." In SIXTH INTERNATIONAL CONFERENCE OF THE BALKAN PHYSICAL UNION. AIP, 2007. http://dx.doi.org/10.1063/1.2733284.

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Reports on the topic "Cosmic ray muon"

1

Durham, J. Matthew. Cosmic Ray Muon Tomography. Office of Scientific and Technical Information (OSTI), October 2016. http://dx.doi.org/10.2172/1329840.

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Beall, Erik B. Cosmic ray muon charge ratio in the MINOS far detector. Office of Scientific and Technical Information (OSTI), December 2005. http://dx.doi.org/10.2172/892438.

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Rosenberg, L., and A. Bernstein. Feasibility of Sea-level Cosmic-Ray Muon-Capture SNM Detection. Office of Scientific and Technical Information (OSTI), March 2005. http://dx.doi.org/10.2172/15015181.

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Celmins, Aivars. Feasibility of Cosmic-Ray Muon Intensity Measurements for Tunnel Detection. Fort Belvoir, VA: Defense Technical Information Center, June 1990. http://dx.doi.org/10.21236/ada223355.

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Pan, M. Determining Muon Detection Efficiency Rates of Limited Streamer Tube Modules using Cosmic Ray Detector. Office of Scientific and Technical Information (OSTI), September 2004. http://dx.doi.org/10.2172/833115.

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Fasso, Alberto. Predicting Neutron Production from Cosmic-Ray Muons. Office of Scientific and Technical Information (OSTI), August 2001. http://dx.doi.org/10.2172/787227.

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Kotcher, Jonathan. Response of the D0 calorimeter to cosmic ray muons. Office of Scientific and Technical Information (OSTI), October 1992. http://dx.doi.org/10.2172/10136094.

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Kotcher, Jonathan. Response of the D0 calorimeter to cosmic ray muons. Office of Scientific and Technical Information (OSTI), October 1992. http://dx.doi.org/10.2172/1372861.

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Kotcher, Jonathan. Response of the D0 calorimeter to cosmic ray muons. Office of Scientific and Technical Information (OSTI), October 1992. http://dx.doi.org/10.2172/589185.

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Poirier, J. Calculation of Atmospheric Muons from Cosmic Gamma Rays. Office of Scientific and Technical Information (OSTI), April 2005. http://dx.doi.org/10.2172/839832.

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You might also be interested in the extended bibliographies on the topic 'Cosmic ray muon' for particular source types:
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