Muon tomography

From Wikipedia, the free encyclopedia

Muon tomography or muography is a technique that uses cosmic ray muons to generate two or three-dimensional images of volumes using information contained in the Coulomb scattering of the muons. Since muons are much more deeply penetrating than X-rays, muon tomography can be used to image through much thicker material than x-ray based tomography such as CT scanning. The muon flux at the Earth's surface is such that a single muon passes through an area the size of a human hand per second.[1]

Since its development in the 1950s, muon tomography has taken many forms, the most important of which are muon transmission radiography and muon scattering tomography.

Muography uses muons by tracking the number of muons that pass through the target volume to determine the density of the inaccessible internal structure. Muography is a technique similar in principle to radiography (imaging with X-rays) but capable of surveying much larger objects. Since muons are less likely to interact, stop and decay in low density matter than high density matter, a larger number of muons will travel through the low density regions of target objects in comparison to higher density regions. The apparatuses record the trajectory of each event to produce a muogram that displays the matrix of the resulting numbers of transmitted muons after they have passed through objects up to multiple kilometers in thickness. The internal structure of the object, imaged in terms of density, is displayed by converting muograms to muographic images.

Muon tomography imagers are under development for the purposes of detecting nuclear material in road transport vehicles and cargo containers for the purposes of non-proliferation.[2][3] Another application is the usage of muon tomography to monitor potential underground sites used for carbon sequestration.[1]

Etymology and use[edit]

The term muon tomography is based on the word "tomography", a word produced by combining Ancient Greek tomos "cut" and graphe "drawing." The technique produces cross-sectional images (not projection images) of large-scaled objects that cannot be imaged with conventional radiography.[citation needed] Some authors hence see this modality as a subset of muography.

Muography was named by Hiroyuki K. M. Tanaka.[4][5] There are two explanations for the origin of the word "muography": (A) a combination of the elementary particle muon and Greek γραφή (graphé) "drawing,"[6] together suggesting the meaning "drawing with muons"; and (B) a shortened combination of "muon" and "radiography."[7] Although these techniques are related, they differ in that radiography uses X-rays to image the inside of objects on the scale of meters, while muography uses muons to image the inside of objects on the scale of hectometers to kilometers.[8]

Invention of muography[edit]

Precursor technologies[edit]

Twenty years after Carl David Anderson and Seth Neddermeyer discovered that muons were generated from cosmic rays in 1936,[9] Australian physicist E.P. George made the first known attempt to measure the areal density of the rock overburden of the Guthega-Munyang tunnel (part of the Snowy Mountains Hydro-Electric Scheme) with cosmic ray muons.[10] He used a Geiger counter. Although he succeeded in measuring the areal density of rock overburden placed above the detector, and even successfully matched the result from core samples, due to the lack of directional sensitivity in the Geiger counter, imaging was impossible.

In a famous experiment in the 1960s, Luis Alvarez used muon transmission imaging to search for hidden chambers in the Pyramid of Chephren in Giza, although none were found at the time;[11] a later effort discovered[12] a previously unknown void in the Great Pyramid. In all cases the information about the absorption of the muons was used as a measure of the thickness of the material crossed by the cosmic ray particles.

First muogram[edit]

The first muogram was produced in 1970 by a team led by American physicist Luis Walter Alvarez,[13] who installed detection apparatus in the Belzoni Chamber of the Pyramid of Khafre to search for hidden rooms within the structure. He recorded the number of muons after they had passed through the Pyramid. With an invention of this particle tracking technique, he worked out the methods to generate the muogram as a function of muon's arriving angles. The generated muogram was compared with the results of the computer simulations, and he concluded that there were no hidden chambers in the Pyramid of Chephren after the apparatus was exposed to the Pyramid for several months.

Film muography[edit]

Tanaka and Niwa’s pioneering work created film muography, which uses nuclear emulsion. Exposures of nuclear emulsions were taken in the direction of the volcano and then analyzed with a newly invented scanning microscope, custom built for the purpose of identifying particle tracks more efficiently.[14] Film muography enabled them to obtain the first interior imaging of an active volcano in 2007,[15] revealing the structure of the magma pathway of Asama volcano.

Real-time muography[edit]

In 1968, the group of Alvarez used spark chambers with a digital read out for their Pyramid experiment. Tracking data from the apparatus was onto magnetic tape in the Belzoni Chamber, then the data were analyzed by the IBM 1130 computer, and later by the CDC 6600 computer located at Ein Shams University and Lawrence Radiation Laboratory, respectively.[13] Strictly speaking these were not real time measurements.

Real-time muography requires muon sensors to convert the muon's kinetic energy into a number of electrons in order to process muon events as electronic data rather than as chemical changes on film. Electronic tracking data can be processed almost instantly with an adequate computer processor; in contrast, film muography data have to be developed before the muon tracks can be observed. Real-time tracking of muon trajectories produce real-time muograms that would be difficult or impossible to obtain with film muography.

High-resolution muography[edit]

The MicroMegas detector has a positioning resolution of 0.3 mm, an order of magnitude higher than that of the scintillator-based apparatus (10 mm),[16][17] and thus has a capability to create better angular resolution for muograms.



Muons have been used to image magma chambers to predict volcanic eruptions.[18] Kanetada Nagamine et al.[19] continue active research into the prediction of volcanic eruptions through cosmic ray attenuation radiography. Minato[20] used cosmic ray counts to radiograph a large temple gate. Emil Frlež et al.[21] reported using tomographic methods to track the passage of cosmic rays muons through cesium iodide crystals for quality control purposes. All of these studies have been based on finding some part of the imaged material that has a lower density than the rest, indicating a cavity. Muon transmission imaging is the most suitable method for acquiring this type of information.

In 2021, Giovanni Leone and his group revealed that volcanic eruption frequency is related to the amount of volcanic material which moves through a near-surface conduit in an active volcano.[22]


The Mu-Ray project [23] has been using muography to image Vesuvius, famous for its eruption of 79 AD, which destroyed local settlements including Pompeii and Herculaneum. The Mu-Ray project is funded by the Istituto Nazionale di Fisica Nucleare (INFN, Italian National Institute for Nuclear Physics) and the Istituto Nazionale di Geofisica e Vulcanologia (Italian National Institute for Geophysics and Volcanology).[24] The last time this volcano erupted was in 1944. The goal of this project is to "see" inside the volcano which is being developed by scientists in Italy, France, the US and Japan.[25] This technology can be applied to volcanoes all around the world, to have a better understanding of when volcanoes will erupt.[26]


The ASTRI SST-2M Project is using muography to generate the internal images of the magma pathways of Etna volcano.[27] The last major eruption of 1669 caused widespread damage and the death of approximately 20,000 people. Monitoring the magma flows with muography may help to predict the direction from which lava from future eruptions may emit.

From August 2017 to October 2019, time sequential muography imaging of the Etna edifice was conducted to study differences in density levels which would indicate interior volcanic activities. Some of the findings of this research were the following:  imaging of a cavity formation prior to crater floor collapse, underground fracture identification, and imaging of the formation of a new vent in 2019 which became active and subsequently erupted.[28]


The apparatuses use nuclear emulsions to collect data near Stromboli volcano. Recent emulsion scanning improvements developed during the course of the Oscillation Project with Emulsion tRacking Apparatus (OPERA experiment) led to film muography. Unlike other muography particle trackers, nuclear emulsion can acquire high angular resolution without electricity. An emulsion-based tracker has been collecting data at Stromboli since December 2011.[29]

Over a period of 5 months in 2019, an experiment using nuclear emulsion muography was done at Stromboli volcano.  Emulsion films were prepared in Italy and analyzed in Italy and Japan.    The images revealed a low-density zone at the summit of the volcano which is thought to influence the stability of the “Sciara del Fuoco” slope (the source of many landslides).[30]

Puy de Dôme[edit]

Since 2010, a muographic imaging survey has been conducted at the dormant volcano, Puy de Dôme, in France.[31] It has been using the existing closed building structures located directly underneath the southern and eastern sides of the volcano for equipment testing and experiments. Preliminary muographs have revealed previously unknown density features at the top of Puy de Dôme that have been confirmed with gravimetric imaging.[32]

A joint measurement was conducted by French and Italian research groups in 2013-2014 during which different strategies for improved detector designs were tested, particularly their capacities to reduce background noise.[33]

Underground water monitoring[edit]

Muography has been applied to groundwater and saturation level monitoring for bedrock in a landslide area as a response to major rainfall events. The measurement results were compared with borehole groundwater level measurements and rock resistivity.[34]


The applicability of muography to glacier studies was first demonstrated with a survey of the top portion of Aletch glacier located in the Central European Alps. 

In 2017, a Japanese/Swiss collaboration conducted a larger scale muography imaging experiment based at Eiger Glacier to determine the bedrock geometry beneath active glaciers in the steep alpine environment of the Jungfrau region in Switzerland. 5-6 double side coated emulsion films were set in frames with stainless steel plates for shielding to be installed in 3 regions of a railway tunnel which was located underneath the targeted glacier.  Production of the emulsion films was done in Switzerland and analysis was done in Japan.

Underlying bedrock erosion and its boundary between glacier and bedrock could be successfully imaged for the first time.  The methodology provided important information on subglacial mechanisms of bedrock erosion.[35][36]


TRIUMF and its spin-off company Ideon Technologies developed a muograph designed specifically for surveys of possible uranium deposit sites with industry-standard boreholes [37]

Civil engineering[edit]

Muography has been used to map the inside of big civil engineering structures, such as dams, and their surroundings for safety and risk prevention purposes.[38] Muography imaging was applied to the identification of hidden construction shafts located above the Alfreton Old Tunnel (constructed in 1862) in the UK.[39]

Nuclear reactors[edit]

Muography was applied to investigating the conditions of nuclear reactors damaged by the Fukushima nuclear disaster, and helped to confirm its state of near-complete meltdown.[40]

Nuclear waste imaging[edit]

Tomographic techniques can be effective for non-invasive nuclear waste characterization and for nuclear material accountancy of spent fuel inside dry storage containers. Cosmic muons can improve the accuracy of data on nuclear waste and Dry Storage Containers (DSC). Imaging of DSC exceeds the IAEA detection target for nuclear material accountancy. In Canada, spent nuclear fuel is stored in large pools (fuel bays or wet storage) for a nominal period of 10 years to allow for sufficient radioactive cooling.[41]

Challenges and issues for nuclear waste characterization are covered at great length, summarized below:[42]

  • Historical waste. Non-traceable waste stream poses a challenge for characterization. Different types of waste can be distinguished: tanks with liquids, fabrication facilities to be decontaminated before decommissioning, interim waste storage sites, etc.
  • Some waste form may be difficult and/or impossible to measure and characterize (i.e. encapsulated alpha/beta emitters, heavily shielded waste).
  • Direct measurements, i.e. destructive assay, are not possible in many cases and Non-Destructive Assay (NDA) techniques are required, which often do not provide conclusive characterization.
  • Homogeneity of the waste needs characterization (i.e. sludge in tanks, in-homogeneities in cemented waste, etc.).
  • Condition of the waste and waste package: breach of containment, corrosion, voids, etc.

Accounting for all of these issues can take a great deal of time and effort. Muon Tomography can be useful to assess the characterization of waste, radiation cooling, and condition of the waste container.

Los Alamos Concrete Reactor[edit]

In the summer of 2011, a reactor mockup was imaged using Muon Mini Tracker (MMT) at Los Alamos.[43] The MMT consists of two muon trackers made up of sealed drift tubes. In the demonstration, cosmic-ray muons passing through a physical arrangement of concrete and lead; materials similar to a reactor were measured. The mockup consisted of two layers of concrete shielding blocks, and a lead assembly in between; one tracker was installed at 2.5 metres (8 ft 2 in) height, and another tracker was installed on the ground level at the other side. Lead with a conical void similar in shape to the melted core of the Three Mile Island reactor was imaged through the concrete walls. It took three weeks to accumulate 8×10^4 muon events. The analysis was based on point of closest approach, where the track pairs were projected to the mid-plane of the target, and the scattered angle was plotted at the intersection. This test object was successfully imaged, even though it was significantly smaller than expected at Fukushima Daiichi for the proposed Fukushima Muon Tracker (FMT).

Left – Lead reactor core with conic void. Right – Observed core where average scattering angles of muons are plotted. The void in the core is clearly imaged through two 2.74 metres (9 ft 0 in) concrete walls. The lead core of 0.7 metres (2 ft 4 in) thickness gives an equivalent radiation length to the uranium fuel in Unit 1, and gives a similar scattering angle. Hot spots at the corners are artifacts caused by edge effect of MMT.[43]

Fukushima application[edit]

On March 11, 2011, a 9.0-magnitude earthquake, followed by a tsunami, caused an ongoing nuclear crisis at the Fukushima Daiichi power plant. Though the reactors are stabilized, complete shutdown will require knowledge of the extent and location of the damage to the reactors. A cold shutdown was announced by the Japanese government in December, 2011, and a new phase of nuclear cleanup and decommissioning was started. However, it is hard to plan the dismantling of the reactors without any realistic estimate of the extent of the damage to the cores, and knowledge of the location of the melted fuel.[44][45] Since the radiation levels are still very high at the inside of the reactor core, it is not likely anyone can go inside to assess the damage. The Fukushima Daiichi Tracker (FDT) is proposed to see the extent of the damage from a safe distance. A few months of measurements with muon tomography, will show the distribution of the reactor core. From that, a plan can be made for reactor dismantlement; thus potentially shortening the time of the project many years.

In August 2014, Decision Sciences International Corporation it had been awarded a contract by Toshiba Corporation (Toshiba) to support the reclamation of the Fukushima Daiichi Nuclear complex with the use of Decision Science's muon tracking detectors.[46]

Industrial muography has found an application in reactor inspection.[47] It was used to locate the nuclear fuel in the Fukushima Daiichi nuclear power plant, which was damaged by the 2011 Tōhoku earthquake and tsunami.


The Nuclear Non-proliferation Treaty (NPT) signed in 1968 was a major step in the non-proliferation of nuclear weapons. Under the NPT, non-nuclear weapon states were prohibited from, among other things, possessing, manufacturing or acquiring nuclear weapons or other nuclear explosive devices. All signatories, including nuclear weapon states, were committed to the goal of total nuclear disarmament.

The Comprehensive Nuclear-Test-Ban Treaty (CTBT) bans all nuclear explosions in any environments. Tools such as muon tomography can help to stop the spread of nuclear material before it is armed into a weapon.[48]

The New START[49] treaty signed by the US and Russia aims to reduce the nuclear arsenal by as much as a third. The verification involves a number of logistically and technically difficult problems. New methods of warhead imaging are of crucial importance for the success of mutual inspections.

Muon tomography can be used for treaty verification due to many important factors. It is a passive method; it is safe for humans and will not apply an artificial radiological dose to the warhead. Cosmic rays are much more penetrating than gamma or x-rays. Warheads can be imaged in a container behind significant shielding and in presence of clutter. Exposure times depend on the object and detector configuration (~few minutes if optimized). While special nuclear material (SNM) detection can be reliably confirmed, and discrete SNM objects can be counted and localized, the system can be designed to not reveal potentially sensitive details of the object design and composition.[50]

The Multi-Mode Passive Detection System (MMPDS) port scanner, located in the Freeport, Bahamas can detect both shielded nuclear material, as well as explosives and contraband. The scanner is large enough for a cargo container to pass through, making it a scaled-up version of the Mini Muon Tracker. It then produces a 3-D image of what is scanned.[51]

Tools such as the MMPDS can be used to prevent the spread of nuclear weapons. The safe but effective use of cosmic rays can be implemented in ports to help non-proliferation efforts, or even in cities, under overpasses, or entrances to government buildings.


Egyptian pyramids[edit]

Detectors installed in the descending corridor (DC) and in the al-Ma’mun corridor (MC). a The Chevron, which consists of huge gabled limestone beams, covering the original entrance to the DC on the North side of Khufu’s Pyramid. b 3D model and positions of the detectors from Nagoya University, indicated by red dots and of the detectors from CEA, indicated by orange dots, in the DC and in the MC. c–h The detectors. c shows EM3, d shows EM2, e shows EM5, f shows Charpak, g shows Joliot and h shows Degennes.[52]
East-West cut view of the Great Pyramid and front view of the North face Chevron area. a Subterranean chamber, b queen’s chamber, c grand gallery, d king’s chamber, e descending corridor, f ascending corridor, g al-Ma’mun corridor, h north face Chevron area, i ScanPyramids Big Void with horizontal hypothesis (red hatching) and inclined hypothesis (green hatching) as published in November 2017.[52]

In 2015, 45 years after Alvarez’s experiment, the ScanPyramids Project, which is composed of an international team of scientists from Egypt, France, Canada, and Japan, started using muography and thermography imaging techniques to survey the Giza pyramid complex.[53] In 2017, scientists involved in the project discovered a large cavity, named "ScanPyramids Big Void", above the Grand Gallery of the Great Pyramid of Giza.[54][55] In 2023, "a corridor-shaped structure" was found in Khufu's Pyramid using the cosmic-ray muons. It was named "ScanPyramids North Face Corridor".[56]

Mexican pyramids[edit]

The 3rd largest pyramid in the world, the Pyramid of the Sun, situated near Mexico City in the ancient city of Teotihuacan was surveyed with muography. One of the motivations of the team was to discover if inaccessible chambers inside the Pyramid might hold the tomb of a Teotihuacan ruler. The apparatus was transported in components and then reassembled inside a small tunnel leading to an underground chamber directly underneath the pyramid. A low density region approximately 60 meters wide was reported as a preliminary result, which has led some researchers to suggest that the structure of the pyramid might have been weakened and it is in danger of collapse.[8]

In 2020, the US National Science Foundation awarded a US-Mexico international group a grant for muography to investigate El Castillo, the largest pyramid in Chichen Itza.[57]

Mt. Echia[edit]

A three-dimensional muography experiment was done in the underground tunnels of Mt Echia (in Naples, Italy) with 2 muon detectors, MU-RAY and MIMA, which successfully imaged 2 known cavities and discovered one unknown cavity.  Mt Echia is where the earliest Naples settlement started in the 8th century and is located underground.  Using measurements from 3 different locations in the underground tunnels, a 3D reconstruction was created for the unknown cavity.  The method used for this experiment could be applied to other archeological targets to check the structural integrity of ancient sites and to potentially discover hidden historical regions within known sites.[58]

China's imperial chambers[edit]

Yuanyuan Liu of the Beijing Normal University and her group showed the feasibility of muography to image the underground chamber of the first emperor of China.[59]

Planetary science[edit]


Muography may potentially be implemented to image extraterrestrial objects such as the geology of Mars. Cosmic rays are numerous and omnipresent in outer space. Therefore, it is predicted that the interaction of the cosmic rays in the Earth’s atmosphere to generate pions/mesons and subsequently to decay into muons also occurs in the atmosphere of other planets.[60] It has been calculated that the atmosphere of Mars is sufficient to produce a horizontal muon flux for practical muography, roughly equivalent to the Earth’s muon flux.[61] In the future, it may be viable to include a high-resolution muography apparatus in a future space mission to Mars, for instance inside a Mars rover.[61] Getting accurate images of the density of Martian structures could be used for surveying sources of ice or water.

Small Solar System bodies[edit]

The “NASA Innovative Advanced Concepts (NIAC) program” is now in the process of assessing whether muography may be used for imaging the density structures of small Solar System bodies (SSBs).[62] While the SSBs tend to generate lower muon flux than the Earth's atmosphere, some are sufficient to allow for muography of objects ranging from 1 km or less in diameter. The program includes calculating the muon flux for each potential target, creating imaging simulations and considering the engineering challenges of building a more lightweight, compact apparatus appropriate for such a mission.

Hydrospheric muography[edit]

The Hyper-kilometric Submarine Deep Detector (HKMSDD) was designed as a technique to operate muographic observations autonomously under the sea at reasonable costs by combining linear arrays of muographic sensor modules with underwater tube structures.[63]

In undersea muography, time-dependent mass movements consisting of or within targeted gigantic fluid bodies and submerged solid material bodies can be more precisely imaged than with land-based muography. Time-dependent fluctuations of the muon flux due to atmospheric pressure variations are suppressed when muography is conducted under the seafloor by the “inverse barometric effect (IBE)” of seawater. Low atmospheric pressures, such as the pressures observed at the center of a cyclone suck up seawater; on the other hand, high atmospheric pressures will push down seawater. The muon’s barometric pressure fluctuation, therefore, are mostly compensated by IBE at sea levels.[63]

Carbon capture and storage[edit]

The success of carbon capture and storage (CCS) hinges upon being able to reliably contain the materials within the storage containers. It has been proposed to use muography as a monitoring tool for CCS.  In 2018, a 2 month study supported the feasibility of CCS muography monitoring. It was completed in the UK at the Boulby Mine site in a 1.1 kilometres (3,600 ft) deep borehole.[64]

Technique variants[edit]

Muon scattering tomography (MST)[edit]

Muon scattering tomography was first proposed by Chris Morris and his group at Los Alamos National Laboratory (LANL).[65] This technique is capable of locating the muon's Rutherford scattering source by tracking incoming and outgoing muons from the target.  Since the radiation lengths tend to be shorter for higher atomic number materials; hence larger scattering angles are expected for the same path lengths, this technique is more sensitive to distinguishing differences between materials within structures and is therefore can be used for imaging heavy metals hidden inside light materials. On the other hand, this technique is not suitable for imaging void structures or light materials located inside heavy materials.[citation needed]

LANL and its spinoff company Decision Sciences applied the MST technique to image the interiors of large trucks and other storage containers in order to detect nuclear materials.[66] A similar system that used MST was developed at the University of Glasgow and its spin-off company Lynkeos Technology to apply towards monitoring the robustness of nuclear waste containers at the Sellafield storage site.[67]

With muon scattering tomography, both incoming and outgoing trajectories for each particle are reconstructed. This technique has been shown to be useful to find materials with high atomic number in a background of high-z material such as uranium or material with a low atomic number.<[68][69] Since the development of this technique at Los Alamos, a few different companies have started to use it for several purposes, most notably for detecting nuclear cargo entering ports and crossing over borders.

The Los Alamos National Laboratory team has built a portable Mini Muon Tracker (MMT). This muon tracker is constructed from sealed aluminum drift tubes,[70] which are grouped into twenty-four 1.2-meter-square (4 ft) planes. The drift tubes measure particle coordinates in X and Y with a typical accuracy of several hundred micrometers. The MMT can be moved via a pallet jack or a fork lift. If a nuclear material has been detected it is important to be able to measure details of its construction in order to correctly evaluate the threat.[71]

MT uses multiple scattering radiography. In addition to energy loss and stopping cosmic rays undergo Coulomb scattering. The angular distribution is the result of many single scatters. This results in an angular distribution that is Gaussian in shape with tails from large angle single and plural scattering. The scattering provides a novel method for obtaining radiographic information with charged particle beams. More recently, scattering information from cosmic ray muons has been shown to be a useful method of radiography for homeland security applications.[68][72][73][74]

Multiple scattering can be defined as when the thickness increases and the number of interactions become high the angular dispersion can be modelled as Gaussian. Where the dominant part of the multiple scattering polar-angular distribution is

where θ is the muon scattering angle and θ0 is the standard deviation of scattering angle, is given approximately by

The muon momentum and velocity are p and β, respectively, c is the speed of light, X is the length of scattering medium, and X0 is the radiation length for the material. This needs to be convolved with the cosmic ray momentum spectrum in order to describe the angular distribution.

The Image can then be reconstructed by use of GEANT4.[75] These runs include input and output vectors, in and out for each incident particle. The incident flux projected to the core location was used to normalize transmission radiography (attenuation method). From here the calculations are normalized for the zenith angle of the flux.

Muon Momentum Integrated Tomography System[edit]

Despite the various benefits of using cosmic ray muons for imaging large and dense objects, i.e., spent nuclear fuel casks and nuclear reactors, their wide applications are often limited by the naturally low muon flux at sea level, approximately 10,000 m−2min−1. To overcome this limitation, two important quantities—scattering angle, θ and momentum, p—for each muon event must be measured during the measurement. To measure cosmic ray muon momentum in the field, a fieldable muon spectrometer using multi-layer pressurized gas Cherenkov radiators has been developed and the muon spectrometer-tomography shows improved muon scattering tomography resolutions.[76]

Muon computational axial tomography (Mu-CAT)[edit]

Mu-CAT is a technique which combines multiple projected muographic images to create a 3D muography image. In principle, it is similar to medical imaging used in radiology (CAT scans) to obtain three-dimensional internal images of the body.[77] While medical CAT scanners use a rotating X-ray generator around the target object, Mu-CAT uses multiple detectors around the target object and naturally occurring muons as probes. Either the tomographic reconstruction technique[78] or the inverse problem[77] is applied to these data from the Mu-CAT observations to reconstruct 3d images.[77]  

Mu-CAT revealed the three-dimensional position of a fractured zone below the crater floor of an active volcano related to a past eruption that had caused a large pyroclastic and lava flow on its northern slope.[77]

Cosmic Ray Inspection and Passive Tomography (CRIPT)[edit]

The Cosmic Ray Inspection and Passive Tomography (CRIPT)[79] detector is a Canadian muon tomography project which tracks muon scattering events while simultaneously estimating the muon momentum. The CRIPT detector is 5.3 metres (17 ft) tall and has a mass of 22 tonnes (22 long tons; 24 short tons). The majority of the detector mass is located in the muon momentum spectrometer which is a feature unique to CRIPT regarding muon tomography.

After initial construction and commissioning[80] at Carleton University in Ottawa, Canada, the CRIPT detector was moved to Atomic Energy Of Canada Limited's Chalk River Laboratories.[81]

The CRIPT detector is presently examining the limitations on detection time for border security applications, limitations on muon tomography image resolution, nuclear waste stockpile verification, and space weather observation through muon detection.

Technical aspects[edit]

The apparatus is a muon-tracking device that consists of muon sensors and recording media. There are several different kinds of muon sensors used in muography apparatuses: plastic scintillators,[82] nuclear emulsions,[29] or gaseous ionization detectors.[7][16] The recording medium is the film itself, digital magnetic or electronic memory. The apparatus is directed towards the target volume, exposing the muon sensor until the muon events required in order to form a statistically sufficient muogram are recorded, after which, (post processing) a muograph displaying the average density along each muon path is created.[citation needed]


There are several advantages that muography has over traditional geophysical surveys. First, muons are naturally abundant and travel from the atmosphere towards the Earth’s surface.[83] This abundant muon flux is nearly constant, therefore muography can be used worldwide. Second, because of the high-contrast resolution of muography, a small void of less than 0.001% of the entire volume can be distinguished.[13] Finally, the apparatus has much lower power requirements than other imaging techniques since they use natural probes, rather than relying on artificially generated signals.[61]


In the field of muography, the transmission coefficient is defined as the ratio of the transmission through the object over the incident muon flux. By applying the muon's range through matter [84] to the open-sky muon energy spectrum,[83] the value of the fraction of incident muon flux that is transmitted through the object can be analytically derived. A muon with a different energy has a different range, which is defined as a distance that the incident muon can traverse in matter before it stops. For example, 1 TeV energy muons have a continuous slowing down approximation range (CSDA range) of 2500 m water equivalent (m.w.e.) in silica dioxide whereas the range is reduced to 400 m.w.e. for 100 GeV muons.[85] This range varies if the material is different, e.g., 1 TeV muons have a CSDA range of 1500 m.w.e. in lead.[85]

The numbers (or later colors) forming a muogram are displayed in terms of the transmitted number of muon events. Each pixel in the muogram is a two dimensional unit based on the angular resolution of the apparatus. The phenomenon that muography cannot differentiate density variations is called the "Volume Effects." Volume Effects happen when a large amount of low density materials and a thin layer of high density materials cause the same attenuation in muon flux. Therefore, in order to avoid false data arising from Volume Effects, the exterior shape of the volume has to be accurately determined and used for analyzing the data.[citation needed]


  1. ^ a b "Muon Tomography - Deep Carbon, MuScan, Muon-Tides". Boulby Underground Science Facility. Retrieved 15 September 2013.
  2. ^ Fishbine, Brian. "Muon Radiography". Detecting Nuclear Contraband. Los Alamos National Laboratory. Archived from the original on 20 December 2013. Retrieved 15 September 2013.
  3. ^ J. Bae; S. Chatzidakis (2021). "The Effect of Cosmic Ray Muon Momentum Measurement for Monitoring Shielded Special Nuclear Materials". Proceedings of the INMM & ESARDA Joint Virtual Annual Meeting 2021. INMM & ESARDA Joint Virtual Annual Meeting. arXiv:2109.02470.
  4. ^ Tanaka, Hiroyuki K. M.; Uchida, Tomihisa; Tanaka, Manobu; Takeo, Minoru; Oikawa, Jun; Ohminato, Takao; Aoki, Yosuke; Koyama, Etsuro; Tsuji, Hiroshi (2009-09-02). "Detecting a mass change inside a volcano by cosmic-ray muon radiography (muography): First results from measurements at Asama volcano, Japan". Geophysical Research Letters. 36 (17). Bibcode:2009GeoRL..3617302T. doi:10.1029/2009gl039448. ISSN 0094-8276. S2CID 56296786.
  5. ^ Holma, Marko; Kuusiniemi, Pasi; Joutsenvaara, Jari (2022-03-06). "Muography, Outreaching, and Transdisciplinarity: Toward the Golden Age of Muography". Journal of Advanced Instrumentation in Science. 2022. doi:10.31526/jais.2022.258. S2CID 247264549.
  6. ^ γραφή, Henry George Liddell, Robert Scott, A Greek-English Lexicon, on Perseus
  7. ^ a b Ol´ah; et al. (2015). "Close Cathode Chamber technology for cosmic particle tracking". J. Phys.: Conf. Ser. 632 (1): 1–8. Bibcode:2015JPhCS.632a2020O. doi:10.1088/1742-6596/632/1/012020.
  8. ^ a b Melesio, Lucina (2014). "The pyramid detectives". Physics World. 27 (12): 24–27. Bibcode:2014PhyW...27l..24M. doi:10.1088/2058-7058/27/12/35.
  9. ^ Neddermeyer, Seth H.; Anderson, Carl D. (1937). "Note on the Nature of Cosmic-Ray Particles" (PDF). Phys. Rev. 51 (10): 884–886. Bibcode:1937PhRv...51..884N. doi:10.1103/PhysRev.51.884.
  10. ^ George, E.P. (1955). "Cosmic rays measure overburden of tunnel". Commonwealth Engineer. Melbourne: Tait Publishing Co. 1955: 455–457. ISSN 0366-8398.
  11. ^ Alvarez, Luis W.; Anderson, Jared A.; Bedwei, F. El; Burkhard, James; Fakhry, Ahmed; Girgis, Adib; Goneid, Amr; Hassan, Fikhry; Iverson, Dennis; Lynch, Gerald; et al. (6 February 1970). "Search for Hidden Chambers in the Pyramids: The structure of the Second Pyramid of Giza is determined by cosmic-ray absorption". Science. 167 (3919): 832–839. Bibcode:1970Sci...167..832A. doi:10.1126/science.167.3919.832. eISSN 1095-9203. ISSN 0036-8075. JSTOR 1728402. LCCN 17024346. OCLC 1644869. PMID 17742609.
  12. ^ Marchant, Jo (2 November 2017). "Cosmic-ray particles reveal secret chamber in Egypt's Great Pyramid". Nature. 551 (7678). doi:10.1038/nature.2017.22939. eISSN 1476-4687. ISSN 0028-0836. LCCN 12037118. OCLC 01586310.
  13. ^ a b c Alvarez, L.W.; et al. (1970). "Search for hidden chambers in the pyramids". Science. 167 (3919): 832–839. Bibcode:1970Sci...167..832A. doi:10.1126/science.167.3919.832. PMID 17742609. S2CID 6195636.
  14. ^ Bellini, Gianpaolo; et al. (2015). "Penetrare i misteri della Terra". Le Scienze. 564: 56–63.
  15. ^ Mahon, David F. (2014). "Applications of Muography" (PDF). P1 Frontiers of Physics Lecture: University of Glasgow. 3 October 2014. Archived from the original (PDF) on 16 February 2016. Retrieved 23 October 2022.
  16. ^ a b Chefdeville, M.; et al. (2015). "Micromegas for muography, the Annecy station and detectors" (PDF). Arche Meeting, AUTH: Thessaloniki, Greece. 21 December 2015.
  17. ^ "Through the Cosmic Shadow of Saclay's Water Tower". Science News: CEA Sciences. January 2016. 2016.
  18. ^ Kedar, Sharon; Tanaka, Hiroyuki K. M.; Naudet, C. J.; Jones, C. E.; Plaut, J. P.; Webb, F. H. (14 June 2013). "Muon radiography for exploration of Mars geology". Geoscientific Instrumentation, Methods and Data Systems. 2 (1): 157–164. Bibcode:2013GI......2..157K. doi:10.5194/gi-2-157-2013. eISSN 2193-0864. ISSN 2193-0856. LCCN 2013204316. OCLC 929687607.
  19. ^ Nagamine, Kanetada; Iwasaki, Masahiko; Shimomura, Kohichiro; Ishida, Katsuhiro (15 March 1995). "Method of probing inner-structure of geophysical substance with the horizontal cosmic-ray muons and possible application to volcanic eruption prediction". Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment. Elsevier. 356 (2–3): 585–595. Bibcode:1995NIMPA.356..585N. doi:10.1016/0168-9002(94)01169-9. ISSN 0168-9002. OCLC 781521572.
  20. ^ Minato, S. (1988). "Feasibility of cosmic-ray radiography: a case study of a temple gate as a test piece". Materials Evaluation. 46 (11): 1468–1470.
  21. ^ Frlež, Emil; Supek, Ivan; Assamagan, Kétévi Adiklè; Brönnimann, Ch.; Flügel, Th.; Krause, Bernward; Lawrence, David W.; Mzavia, David A.; Počanić, Dinko; Renker, Dieter; et al. (21 January 2000). "Cosmic muon tomography of pure cesium iodide calorimeter crystals". Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment. Elsevier. 440 (1): 57–85. arXiv:hep-ex/9905041. Bibcode:2000NIMPA.440...57F. doi:10.1016/S0168-9002(99)00886-4. ISSN 0168-9002. OCLC 781521572. S2CID 514775.
  22. ^ Leone, Giovanni; Tanaka, Hiroyuki K. M.; Holma, Marko; Kuusiniemi, Pasi; Varga, Dezső; Oláh, László; Presti, Domenico Lo; Gallo, Giuseppe; Monaco, Carmelo; Ferlito, Carmelo; Bonanno, Giovanni (2021-11-24). "Muography as a new complementary tool in monitoring volcanic hazard: implications for early warning systems". Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences. 477 (2255): 20210320. Bibcode:2021RSPSA.47710320L. doi:10.1098/rspa.2021.0320. S2CID 243864543.
  23. ^ D’Alessandro, Raffaello (2013). Review of Muography in Italy (Vesuvio and Stromboli) (PDF). MNR 2013, Tokyo, Japan. 25–26 July 2013.
  24. ^ Beauducel, F.; Buontempo, S.; D’Auria, L.; De, G.; Festa, G.; Gasparini, P.; Gibert1, D.; Iacobucci, G.; Lesparre, N.; Marotta, A.; et al. (18 July 2008). "Muon radiography of volcanoes and the challenge at Mt. Vesuvius" (PDF). Archived from the original on 21 December 2021. Retrieved 21 December 2021.{{cite web}}: CS1 maint: numeric names: authors list (link)
  25. ^ Martinelli, Bruno (1 May 1997). "Volcanic tremor and short-term prediction of eruptions". Journal of Volcanology and Geothermal Research. Elsevier. 77 (1–4): 305–311. Bibcode:1997JVGR...77..305M. doi:10.1016/S0377-0273(96)00101-1. ISSN 0377-0273.
  26. ^ Paolo Strolin (August 2013). "The secret life of volcanoes: using muon radiography". Science in School (27).
  27. ^ Andrews, Robin (2015). ""Cosmic Ray Muons" Will Be Fired Into Mount Etna To Image Its Innards". IFLScience. pp. 19 November 2015.
  28. ^ Lo Presti, D.; Riggi, F.; Ferlito, C.; Bonanno, D. L.; Bonanno, G.; Gallo, G.; La Rocca, P.; Reito, S.; Romeo, G. (2020-07-09). "Muographic monitoring of the volcano-tectonic evolution of Mount Etna". Scientific Reports. 10 (1): 11351. doi:10.1038/s41598-020-68435-y. ISSN 2045-2322. PMC 7347571. PMID 32647356.
  29. ^ a b Tioukov; et al. (2013). "Muography with nuclear emulsions in Italy". Workshop on Nuclear Track Emulsion and Its Future: Predeal, Romania. 14–18 October 2013.
  30. ^ Tioukov, Valeri; Alexandrov, Andrey; Bozza, Cristiano; Consiglio, Lucia; D’Ambrosio, Nicola; De Lellis, Giovanni; De Sio, Chiara; Giudicepietro, Flora; Macedonio, Giovanni; Miyamoto, Seigo; Nishiyama, Ryuichi (2019-04-30). "First muography of Stromboli volcano". Scientific Reports. 9 (1): 6695. Bibcode:2019NatSR...9.6695T. doi:10.1038/s41598-019-43131-8. ISSN 2045-2322. PMC 6491474. PMID 31040358.
  31. ^ Carloganu, Cristina (2015). "Muography, a Safe Way of Studying Volcanoes and Nuclear Reactors". Berkeley Nuclear Engineering 2015 Colloquium Series: 8 December 2015.
  32. ^ Miallier, Didier; Boivin, Pierre; Labazuy, Philippe (2014). "Geology of a volcano selected as a reference experimental site for structure imaging using muography and standard geophysical methods: the Puy de Dôme (Chaîne des Puys, France)" (PDF). IAVCEI 2013 Scientific Assembly: Kagoshima, Japan. 20–24 July 2013. Archived from the original (PDF) on 17 February 2016. Retrieved 23 October 2022.
  33. ^ Noli, Pasquale; Ambrosino, Fabio; Bonechi, Lorenzo; Bross, Alan; Cimmino, Luigi; D’Alessandro, Raffaello; Masone, Vincenzo; Mori, Nicola; Passeggio, Giuseppe; Pla-Dalmau, Anna; Saracino, Giulio (2017-02-14). "Muography of the Puy de Dôme". Annals of Geophysics. 60 (1): S0105. doi:10.4401/ag-7380. ISSN 2037-416X.
  34. ^ Azuma, Kennichi; et al. (2014). "Muographic Test Measurements For Monitoring Groundwater". ISRM International Symposium - 8th Asian Rock Mechanics Symposium, 14–16 October, Sapporo, Japan: ISRM–ARMS8–2014–038.
  35. ^ Nishiyama, Ryuichi; et al. (2017). "First measurement of ice‐bedrock interface of alpine glaciers by cosmic muon radiography" (PDF). Geophysical Research Letters. 44 (12): 6244–6251. Bibcode:2017GeoRL..44.6244N. doi:10.1002/2017GL073599. S2CID 59485564.
  36. ^ Nishiyama, Ryuichi; et al. (2019). "Bedrock sculpting under an active alpine glacier revealed from cosmic-ray muon radiography". Scientific Reports. 9:6970 (1): 6970. Bibcode:2019NatSR...9.6970N. doi:10.1038/s41598-019-43527-6. PMC 6502855. PMID 31061450.
  37. ^ "Ideon and Orano Deploy World's First Borehole Muon Tomography Solution". 2021-07-06. Retrieved 2022-01-18.
  38. ^ Lázaro Roche, Ignacio (2019). "Design, Construction and In Situ Testing of a Muon Camera for Earth Science and Civil Engineering Applications". {{cite journal}}: Cite journal requires |journal= (help)
  39. ^ Thompson, L. F.; Stowell, J. P.; Fargher, S. J.; Steer, C. A.; Loughney, K. L.; O'Sullivan, E. M.; Gluyas, J. G.; Blaney, S. W.; Pidcock, R. J. (2020-04-08). "Muon tomography for railway tunnel imaging". Physical Review Research. 2 (2): 023017. Bibcode:2020PhRvR...2b3017T. doi:10.1103/PhysRevResearch.2.023017. S2CID 216330759.
  40. ^ Hongo, Jun (2015-09-29). "Fukushima Watch: Near-Complete Meltdown Confirmed at Reactor 2". Wall Street Journal. ISSN 0099-9660. Retrieved 2022-01-18.
  41. ^ Jonkmans, Guy; Anghel, Vinicius Nicolae Petre; Jewett, Cybele; Thompson, Martin (1 March 2013). "Nuclear waste imaging and spent fuel verification by muon tomography". Annals of Nuclear Energy. Elsevier. 53: 267–273. arXiv:1210.1858. doi:10.1016/j.anucene.2012.09.011. eISSN 1873-2100. ISSN 0306-4549. OCLC 50375208. S2CID 119286077.
  42. ^ International Atomic Energy Agency (2007). Strategy and methodology for radioactive waste characterization. Vienna: International Atomic Energy Agency. ISBN 9789201002075.
  43. ^ a b Miyadera, Haruo; Borozdin, Konstantin N.; Greene, Steve J.; Lukić, Zarija; Masuda, Koji; Milner, Edward C.; Morris, Christopher L.; Perry, John O. (24 May 2013). "Imaging Fukushima Daiichi reactors with muons". AIP Advances. American Institute of Physics. 3 (5): 052133. Bibcode:2013AIPA....3e2133M. doi:10.1063/1.4808210. ISSN 2158-3226. OCLC 780660465. In the summer of 2011, a reactor mockup was imaged using Muon Mini Tracker (MMT) at Los Alamos (altitude of 2,231 m).
  44. ^ Stone, R. (2011). "Fukushima Cleanup Will Be Drawn Out and Costly". Science. 331 (6024): 1507. Bibcode:2011Sci...331.1507S. doi:10.1126/science.331.6024.1507. PMID 21436414.
  45. ^ Burns, Peter C.; Ewing, Rodney C.; Navrotsky, Alexandra (2012). "Nuclear Fuel in a Reactor Accident". Science. 335 (6073): 1184–1188. Bibcode:2012Sci...335.1184B. doi:10.1126/science.1211285. PMID 22403382. S2CID 52326873.
  46. ^ Blackwell, Shelia S. (4 August 2014). "Decision Sciences Awarded Toshiba Contract for Fukushima Daiichi Nuclear Complex Project" (Press release). Middleburg, Virginia: Decision Sciences. Archived from the original on 28 April 2021. Retrieved 22 December 2021. MIDDLEBURG, Va., Aug. 8, 2014 – Decision Sciences International Corporation (DSIC), an advanced technology provider of security and detection systems, today announced it has been awarded a contract by Toshiba Corporation (Toshiba) to support the reclamation of the Fukushima Daiichi Nuclear complex with the use of DSIC's revolutionary muon tracking detectors.
  47. ^ Abe, Daisuke (2015). "Cosmic particles help scientists 'X-ray' volcanoes". Nikkei Asian Review: November 5, 2015.
  48. ^ "Comprehensive Nuclear-Test-Ban Treaty CTBTO" (PDF). CTBTO Preparatory Commission. Archived from the original (PDF) on 2 December 2011. Retrieved 4 December 2011.
  49. ^ "The New START Treaty and Protocol". 2010-04-08 – via National Archives.
  50. ^ Borozdin, K.N.; Morris, C.; Klimenko, A.V.; Spaulding, R.; Bacon, J. (2010). "Passive imaging of SNM with cosmic-ray generated neutrons and gamma-rays". IEEE Nuclear Science Symposuim & Medical Imaging Conference. pp. 3864–3867. doi:10.1109/NSSMIC.2010.5874537. ISBN 978-1-4244-9106-3. S2CID 25526098.
  51. ^ "Decision Sciences Corp". Archived from the original on 2014-10-19. Retrieved 2013-12-20.
  52. ^ a b Procureur, Sébastien; Morishima, Kunihiro; Kuno, Mitsuaki; et al. (2 March 2023). "Precise characterization of a corridor-shaped structure in Khufu's Pyramid by observation of cosmic-ray muons". Nature Communications. 14 (1): 1144. Bibcode:2023NatCo..14.1144P. doi:10.1038/s41467-023-36351-0. ISSN 2041-1723. PMC 9981702. PMID 36864018.
  53. ^ Andrews, Robin (2 November 2015). "Archeologists Will Use Drones and Cosmic Rays To Peer Deep Inside The Pyramids". IFLScience!. IFLScience. Retrieved 16 December 2017.
  54. ^ Greshko, Michael (2 November 2017). "Mysterious Void Discovered in Egypt's Great Pyramid". National Geographic. National Geographic Society. Archived from the original on November 2, 2017. Retrieved 16 December 2017.
  55. ^ Morishima, Kunihiro; et al. (2 November 2017). "Discovery of a big void in Khufu's Pyramid by observation of cosmic-ray muons". Nature. 552 (7685): 386–390. arXiv:1711.01576. Bibcode:2017Natur.552..386M. doi:10.1038/nature24647. PMID 29160306. S2CID 4459597.
  56. ^ Procureur, Sébastien; et al. (2023). "Precise characterization of a corridor-shaped structure in Khufu's Pyramid by observation of cosmic-ray muons". Nature Communications. 14 (1): 1144. Bibcode:2023NatCo..14.1144P. doi:10.1038/s41467-023-36351-0. PMC 9981702. PMID 36864018.
  57. ^ O’Keefe, Madeleine. "Seeing through walls and breaking down barriers". symmetry magazine. Retrieved 2022-01-18.
  58. ^ Cimmino, Luigi; Baccani, Guglielmo; Noli, Pasquale; Amato, Lucio; Ambrosino, Fabio; Bonechi, Lorenzo; Bongi, Massimo; Ciulli, Vitaliano; D’Alessandro, Raffaello; D’Errico, Mariaelena; Gonzi, Sandro (2019-02-27). "3D Muography for the Search of Hidden Cavities". Scientific Reports. 9 (1): 2974. Bibcode:2019NatSR...9.2974C. doi:10.1038/s41598-019-39682-5. ISSN 2045-2322. PMC 6393493. PMID 30814618.
  59. ^ Beijing, Didi Tang. "Cosmic rays could unearth secrets of Terracotta Army tomb". The Times. ISSN 0140-0460. Retrieved 2022-01-18.
  60. ^ Tanaka, H.K.M. (2007). "Monte-Carlo simulations of atmospheric muon production: Implication of the past martian environment". Icarus. 191 (2): 603–615. Bibcode:2007Icar..191..603T. doi:10.1016/j.icarus.2007.05.014.
  61. ^ a b c Mynott, Sara (2013). "muography: Muon musings – how penetrating particles could let us peer beneath Mars' surface". Blogs of the European Geosciences Union: 19 June 2013.
  62. ^ Prettyman, Thomas (2014). "Deep mapping of small solar system bodies with galactic cosmic ray secondary particle showers" (PDF). 2014 NASA Innovative Advanced Concepts (NIAC) Symposium: Palo Alto, CA. 4–6 February 2014.
  63. ^ a b Tanaka, Hiroyuki K. M.; Aichi, Masaatsu; Bozza, Cristiano; Coniglione, Rosa; Gluyas, Jon; Hayashi, Naoto; Holma, Marko; Kamoshida, Osamu; Kato, Yasuhiro; Kin, Tadahiro; Kuusiniemi, Pasi (2021-09-30). "First results of undersea muography with the Tokyo-Bay Seafloor Hyper-Kilometric Submarine Deep Detector". Scientific Reports. 11 (1): 19485. Bibcode:2021NatSR..1119485T. doi:10.1038/s41598-021-98559-8. ISSN 2045-2322. PMC 8484265. PMID 34593861.
  64. ^ "X-ray vision". BCCJ Acumen. 2019-04-19. Retrieved 2021-11-12.
  65. ^ Adam, David (2021-04-06). "Core Concept: Muography offers a new way to see inside a multitude of objects". Proceedings of the National Academy of Sciences. 118 (14). Bibcode:2021PNAS..11804652A. doi:10.1073/pnas.2104652118. ISSN 0027-8424. PMC 8040818. PMID 33790020.
  66. ^ "Muon Detectors Hunt for Fissile Contraband". Retrieved 2022-01-18.
  67. ^ "Monitoring radioactive waste with muons - World Nuclear News". Retrieved 2022-01-18.
  68. ^ a b Borozdin, Konstantin N.; Hogan, Gary E.; Morris, Christopher; Priedhorsky, William C.; Saunders, Alexander; Schultz, Larry J.; Teasdale, Margaret E. (20 March 2003). "Radiographic imaging with cosmic-ray muons". Nature. 422 (277): 277. Bibcode:2003Natur.422..277B. doi:10.1038/422277a. eISSN 1476-4687. ISSN 0028-0836. LCCN 12037118. OCLC 01586310. PMID 12646911.
  69. ^ Hohlmann, Marcus; Ford, Patrick; Gnanvo, Kondo; Helsby, Jennifer; Pena, David; Hoch, Richard; Mitra, Debasis (1 June 2009). "GEANT4 Simulation of a Cosmic Ray Muon Tomography System With Micro-Pattern Gas Detectors for the Detection of High-Z Materials". IEEE Transactions on Nuclear Science. 56 (3): 1356–1363. arXiv:0811.0187. Bibcode:2009ITNS...56.1356H. doi:10.1109/TNS.2009.2016197. eISSN 1558-1578. ISSN 0018-9499. LCCN 12037118. OCLC 01586310. PMID 12646911.
  70. ^ Wang, Zhehui; Morris, Christopher L.; Makela, Mark F.; Bacon, Jeffrey D.; Baer, E.E.; Brockwell, M.I.; Brooks, B.J.; Clark, D.J.; Green, J.A.; Greene, S.J.; et al. (1 July 2009). "Inexpensive and practical sealed drift-tube neutron detector". Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment. Elsevier. 605 (3): 430–432. Bibcode:2009NIMPA.605..430W. doi:10.1016/j.nima.2009.03.251. ISSN 0168-9002. OCLC 781521572.
  71. ^ Riggi, S.; Antonuccio, V.; Bandieramonte, M.; Becciani, U.; Belluomo, F.; Belluso, M.; Billotta, S.; Bonanno, G.; Carbone, B.; Costa, A.; et al. (3 July 2012). "A large area cosmic ray detector for the inspection of hidden high-Z materials inside containers". Journal of Physics: Conference Series. IOP Publishing. 409 (1): 012046. Bibcode:2013JPhCS.409a2046R. doi:10.1016/j.nima.2009.03.251. eISSN 1742-6596. ISSN 1742-6588. OCLC 723581599.
  72. ^ Morris, Christopher L.; Alexander, C. C.; Bacon, Jeffrey D.; Borozdin, Konstantin N.; Clark, D. J.; Chartrand, R.; Espinoza, C. J.; Fraser, A. M.; Galassi, M. C.; Green, J. A.; et al. (28 October 2008). "Tomographic Imaging with Cosmic Ray Muons". Science & Global Security: The Technical Basis for Arms Control, Disarmament, and Nonproliferation Initiatives. Taylor & Francis. 16 (1–2): 37–53. Bibcode:2008S&GS...16...37M. doi:10.1080/08929880802335758. eISSN 1547-7800. ISSN 0892-9882. OCLC 960783661. S2CID 53550673.
  73. ^ Priedhorsky, William C.; Borozdin, Konstantin N.; Hogan, Gary E.; Morris, Christopher; Saunders, Alexander; Schultz, Larry J.; Teasdale, Margaret E. (2 July 2003). "Detection of high-Z objects using multiple scattering of cosmic ray muons". Review of Scientific Instruments. American Institute of Physics. 74 (10): 4294–4297. Bibcode:2003RScI...74.4294P. doi:10.1063/1.1606536. eISSN 1089-7623. ISSN 0034-6748. LCCN sn99009452. OCLC 243417110.
  74. ^ L. J. Schultz; G. S. Blanpied; K. N. Borozdin; A. M. Fraser; N. W. Hengartner; A. V. Klimenko; C. L. Morris; C. Oram & M. J. Sossong (2007). "Statistical Reconstruction for Cosmic Ray Muon Tomography". IEEE Transactions on Image Processing. 16 (8): 1985–1993. Bibcode:2007ITIP...16.1985S. doi:10.1109/TIP.2007.901239. PMID 17688203. S2CID 16505483.
  75. ^ S. Agostinelli; et al. (2003). "Geant4 a Simulation toolkit". Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment. 506 (3): 250–303. Bibcode:2003NIMPA.506..250A. doi:10.1016/S0168-9002(03)01368-8.
  76. ^ J. Bae; S. Chatzidakis (2022). "Fieldable muon spectrometer using multi-layer pressurized gas Cherenkov radiators and its applications". Scientific Reports. 12 (2559): 2559. arXiv:2201.00253. Bibcode:2022NatSR..12.2559B. doi:10.1038/s41598-022-06510-2. PMC 8847616. PMID 35169208.
  77. ^ a b c d Tanaka, Hiroyuki K. M.; Taira, Hideaki; Uchida, Tomihisa; Tanaka, Manobu; Takeo, Minoru; Ohminato, Takao; Aoki, Yosuke; Nishitama, Ryuichi; Shoji, Daigo; Tsuiji, Hiroshi (2010). "Three-dimensional computational axial tomography scan of a volcano with cosmic ray muon radiography". Journal of Geophysical Research: Solid Earth. 115 (B12). Bibcode:2010JGRB..11512332T. doi:10.1029/2010JB007677. ISSN 2156-2202.
  78. ^ Nagahara, Shogo; Miyamoto, Seigo (2018-11-07). "Feasibility of three-dimensional density tomography using dozens of muon radiographies and filtered back projection for volcanos". Geoscientific Instrumentation, Methods and Data Systems. 7 (4): 307–316. Bibcode:2018GI......7..307N. doi:10.5194/gi-7-307-2018. ISSN 2193-0856. S2CID 59946355.
  79. ^ Anghel, Vinicius Nicolae Petre; Armitage, John C.; Baig, F.; Boniface, K.; Boudjemline, K.; Bueno, J.; Charles, E.; Drouin, P-L.; Erlandsonb, A.; Gallant, G.; et al. (1 October 2015). "A plastic scintillator-based muon tomography system with an integrated muon spectrometer". Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment. Elsevier. 798 (3): 12–23. Bibcode:2015NIMPA.798...12A. doi:10.1016/j.nima.2015.06.054. ISSN 0168-9002. OCLC 781521572.
  80. ^ "Cosmic Ray Inspection and Passive Tomography". Carleton University. 2021. Archived from the original on 21 December 2021. Retrieved 21 December 2021.
  81. ^ "A closer look at CRIPT: Commissioning of Canada's first full-scale muon tomography imaging system". Atomic Energy of Canada Limited. 22 April 2013. Archived from the original on 6 August 2014. Retrieved 21 December 2021.
  82. ^ Ambrosino, F.; et al. (2015). "Joint measurement of the atmospheric muon flux through the Puy de Dôme volcano with plastic scintillators and Resistive Plate Chambers detectors" (PDF). Journal of Geophysical Research: Solid Earth. 120 (11): 7290–7307. Bibcode:2015JGRB..120.7290A. doi:10.1002/2015JB011969. OSTI 1329069. S2CID 130029683.
  83. ^ a b Olive, K.A. (Particle Data Group); et al. (2014). "28. Cosmic Rays in Review of Particle Physics" (PDF). Chin. Phys. C. 38 (9): 090001. arXiv:1412.1408. Bibcode:2014ChPhC..38i0001O. doi:10.1088/1674-1137/38/9/090001. S2CID 118395784. Archived from the original (PDF) on 2015-11-24. Retrieved 2016-02-14.
  84. ^ Groom, D.E.; et al. (2001). "Muon stopping-power and range tables: 10 MeV–100 TeV" (PDF). At. Data Nucl. Data Tables. 78 (2): 183–356. Bibcode:2001ADNDT..78..183G. doi:10.1006/adnd.2001.0861. Archived from the original (PDF) on 2014-03-18. Retrieved 2016-02-14.
  85. ^ a b Particle Data Group (2014). "Atomic and Nuclear Properties of Materials". {{cite journal}}: Cite journal requires |journal= (help)