Muography. Группа авторов

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maximum definition of the muographic image, R, will then be Φϕ × Θθ pixels, where Φ and Θ are, respectively, the horizontal and vertical viewing angles of the detector. Bin sizes (pixel size) of the image can be optimized to attain the sufficient statistics for muon counts recorded in each bin. Since the power to resolve the target volume depends on this pixel size and the distance between the target and detector, the measurement time required for attaining a given level of statistics for counts of muons arriving from a given section of the target volume is inversely proportional to the square of the distance between the target and detector. In muographic measurements, it is therefore ideal to get the detector as close to the target as possible. However, in most cases, accessibility and infrastructure availability (e.g., electricity) at geological sites limit the locations for measurements. Tanaka (2016) proposed airborne muography (placing the detector inside a helicopter) to practically remove these restrictions (Fig. 1.3). Tanaka (2013) and Kusagaya (2017) proposed another technique to observe dynamics within a shorter timescale than the time resolution of the observation system by integrating time‐sequential muographic images for the repetitionary processes.

      1.2.9 Muographically Averaged Densimetric Thickness and Muographically Averaged Geometric Thickness

      Since the detectors always have an angular resolution (Δθ, Δϕ), the transmitted muon flux measured in one image pixel is an integration of the flux of the muons that had passed through different regions in the target object. The transmitted flux averaged over the angle range θ ±Δθ and ϕ ±Δϕ, < N >, can be directly compared with the observed flux in the pixel of the muographic images. Inversely, if < N > is given, the muographically averaged densimetric thickness (MADT), < X >, can be uniquely determined by inserting < N > into equation 1.2. The muographically averaged geometric thickness (MAGT) is defined by <X>/ ρ. The MAGT is therefore different from the arithmetically averaged rock thickness (Tanaka, 2020a).

      1.2.10 Limitations of Muography and Potential Geological Targets

Photo depicts airborne muography.

      1.3.1 Early Works

      In the early stage of cosmic ray studies, underground measurements were the most effective way to extend the energy range of the measured muon spectrum beyond 1 TeV. In these measurements, mine galleries located at various depths were utilized to measure the depth‐dependent muon flux since geological features of these mines were well studied. Inversely, if this depth‐dependent muon flux was used as a reference curve, the average density above the detector could be derived. The idea of using muons produced by cosmic rays as probes was first applied 75 years ago by E.P. George, who measured the thickness of the rock overburden above a tunnel of the hydroelectric plant in Snowy Mountain, Australia (George, 1955). George measured the reduction in the muon flux after passing through the rock. The apparatus consisted of Geiger counters but was unable to provide an image of any structure within the overlying rock.

      Since TeV muons penetrate kilometric rock, the technique shown by Alvarez et al. (1970) was in principle applicable to mountains. This possibility was explored by focusing on detecting muons that traversed at angles almost parallel to the ground surface, which could be utilized to probe mountains by tracing the trajectories of muons emerging from the other side of the mountain (Nagamine et al., 1995). Muography cannot image the deep structure of a volcano such as the magma chamber; however, it can image shallow regions of the volcano, which can provide useful information for understanding how the eruption style might change. The first muographic image of the inside of a volcano suggested possible pathways for magma ejection by visualizing the shape and size of low‐density regions under a deposit of solidified magma (Tanaka et al., 2007). At the same time, the results showed visual evidence of the resolving power of muography, and its applicability to any targets smaller than volcanoes. The first time‐sequential muographic images that captured the motion of subterranean geofluid targeted the rainfall‐triggered permeation of water into the mechanical fracture zone of the active seismic fault (Tanaka et al., 2011). The results later motivated researchers to apply muography to monitoring underground water conditions (Tanaka & Sannomiya, 2012) and magmatic motion inside volcanoes (Oláh et al., 2019; Tanaka et al., 2014).

      1.3.2 Magmatic Convection

      By taking advantage of the resolving power of muography, we can

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