Preprint Article Version 1 This version is not peer-reviewed

Feasibility Study of a New Cherenkov Detector for Improving Volcano Muography

Version 1 : Received: 18 January 2019 / Approved: 21 January 2019 / Online: 21 January 2019 (09:50:45 CET)

How to cite: Lo Presti, D.; Gallo, G.; Bonanno, D.L.; Bongiovanni, D.G.; Longhitano, F.; Reito, S. Feasibility Study of a New Cherenkov Detector for Improving Volcano Muography. Preprints 2019, 2019010203 (doi: 10.20944/preprints201901.0203.v1). Lo Presti, D.; Gallo, G.; Bonanno, D.L.; Bongiovanni, D.G.; Longhitano, F.; Reito, S. Feasibility Study of a New Cherenkov Detector for Improving Volcano Muography. Preprints 2019, 2019010203 (doi: 10.20944/preprints201901.0203.v1).

Abstract

Muography is an expanding technique for the investigation of the internal structure of targets of interest in geophysics. The flux of high penetrating muons produced by primary cosmic rays is attenuated by traversing kilometer size objects like X-ray flux is attenuated through the human body. This gives the possibility to study the internal structure of volcanoes or underground cavities, e.g., starting from the measure of the muon flux transmission through the target. Many groups of researchers working with this technique have to face with high background level that afflicts the reconstruction of muon tracks near the horizontal direction. An important source of background is the scattering of particles near the detector that produces a wrong reconstruction of the incoming direction. An innovative technique based on Cherenkov radiation was investigated by means of Monte Carlo simulations developed in Geant4 toolkit and MATLAB. The results reported in this paper show that the presented technique is able to correctly distinguish the incoming direction of particles with an efficiency higher than 98%. This new kind of detector could represent an alternative for high resolution charged particle tracking also for other applications.

Subject Areas

muography; cherenkov radiation; monte carlo; Geant4; MATLAB; particle detectors

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