Geoscientific Instrumentation, Methods and Data Systems
Geoscientific Instrumentation, Methods and Data Systems
GI
Articles | Volume 11, issue 1
Articles | Volume 11, issue 1
https://doi.org/10.5194/gi-11-127-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gi-11-127-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 11, issue 1
Research article
 | 
22 Mar 2022
Research article |  | 22 Mar 2022

A muographic study of a scoria cone from 11 directions using nuclear emulsion cloud chambers

Seigo Miyamoto, Shogo Nagahara, Kunihiro Morishima, Toshiyuki Nakano, Masato Koyama, and Yusuke Suzuki

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Cited articles

Agafonova, N., Aleksandrov, A., Altinok, O., et al.: Momentum measurement by the multiple Coulomb scattering method in the OPERA lead-emulsion target, New J. Phys., 14, 013026, https://doi.org/10.1088/1367-2630/14/1/013026, 2012. 
Aramaki, S. and Hamuro, K.: Geology of the Higasi–Izu monogenetic volcano group, Bull. Earthq. Res. Inst. Univ. Tokyo, 52, 235–278, https://repository.dl.itc.u-tokyo.ac.jp/record/33207/files/ji0522010.pdf (last access: 11 March 2022), 1977 (in Japanese). 
Bozza, C., D'Ambrosio, N., De Lellis, G., et al.: An integrated system for large scale scanning of nuclear emulsions, Nucl. Instrum. Methods Phys. Res. A, 703, 204–212, https://doi.org/10.1016/j.nima.2012.11.099, 2012. 
Bush, A. L.: Construction Materials: Lightweight Aggregates, in: Encyclopedia of Materials: Science and Technology, Elsevier, 1550–1558, https://doi.org/10.1016/B0-08-043152-6/00277-1, 2001. 
Geshi, N. and Neri, M.: Dynamic feeder dyke systems in basaltic volcanoes: the exceptional example of the 1809 Etna eruption (Italy), Front. Earth Sci., 2, 13, https://doi.org/10.3389/feart.2014.00013, 2014. 
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Short summary
In recent years, imaging of density inside volcanoes using cosmic-ray muons has been studied. In some previous studies, observations were conducted in 2 or 3 directions to obtain 3D resolution. For higher resolution, we tried to observe a volcano from 11 directions using special photographic films. The observation and analytical techniques developed in this study may be applied to other volcanoes and large objects. Reconstructing 3D images of the volcano is in progress using the obtained data.
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