Volcanoes muon imaging using Cherenkov telescopes
Date Issued
2016
Abstract
A detailed understanding of a volcano inner structure is one of the key-points for the volcanic hazards evaluation. To this aim, in the last decade, geophysical radiography techniques using cosmic muon particles have been proposed. By measuring the differential attenuation of the muon flux as a function of the amount of rock crossed along different directions, it is possible to determine the density distribution of the interior of a volcano. Up to now, a number of experiments have been based on the detection of the muon tracks crossing hodoscopes, made up of scintillators or nuclear emulsion planes. Using telescopes based on the atmospheric Cherenkov imaging technique, we propose a new approach to study the interior of volcanoes detecting of the Cherenkov light produced by relativistic cosmic-ray muons that survive after crossing the volcano. The Cherenkov light produced along the muon path is imaged as a typical annular pattern containing all the essential information to reconstruct particle direction and energy. Our new approach offers the advantage of a negligible background and an improved spatial resolution.
To test the feasibility of our new method, we have carried out simulations with a toy-model based on the geometrical parameters of ASTRI SST-2M, i.e. the imaging atmospheric Cherenkov telescope currently under installation onto the Etna volcano. Comparing the results of our simulations with previous experiments based on particle detectors, we gain at least a factor of 10 in sensitivity. The result of this study shows that we resolve an empty cylinder with a radius of about 100 m located inside a volcano in less than 4 days, which implies a limit on the magma velocity of 5 m/h.
Volume
807
Start page
5
Issn Identifier
0168-9002
Ads BibCode
2016NIMPA.807....5C
Rights
open.access
File(s)![Thumbnail Image]()
![Thumbnail Image]()
Loading...
Name
1-s2.0-S0168900215012772-main.pdf
Description
[administrators only]
Size
1.97 MB
Format
Adobe PDF
Checksum (MD5)
3384ada5aca49893f2bc72fcc1e323ef
Loading...
Name
1511.01761.pdf
Description
postprint
Size
766.9 KB
Format
Adobe PDF
Checksum (MD5)
9f45eb01f0bd64dbec0043c9dbbcf5ab
