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Gaseous Muon Trackers in Muography

Authors: Gergő Hamar; Gergely Surányi; László Balázs; Dezső Varga; László Oláh; Gábor Nyitrai; Ádám Gera; +3 Authors

Gaseous Muon Trackers in Muography

Abstract

Muography is a novel imaging technology to reveal the internal density structure of hill -sized objects. The cosmic muons lose slowly their energy and penetrate hundreds of meters into the ground, thus their differential local flux correlates with the densi ty-length they have passed through. Combining this information with surface - or geological data density -anomalies could be located, that benefits eg. speleology, mining, volcanology, and cultural heritage research. Detecting and tracking of each passing muon is crucial, while the main challenges for used detector technology are the portability, low power consumption, and robustness against the out -of-the-laboratory environment. Our portable gaseous tracking detector system has been designed and built, and successfully used in several locations, like caves, mines, or near volcanoes. The presentation will focus on the designed portable tracking system, the main requirements, used detector technology, issues and solutions; and show results from several muography campaigns in peculiar scenarios.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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