A new cylindrical borehole detector for radiographic imaging with muons

Abstract Muon radiography is a methodology which enables measuring the mass distribution within large objects. It exploits the abundant flux of cosmic muons and uses detectors with different technologies depending on the application. As the sensitive surface and geometric acceptance are two fundamen...

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Autores principales: L. Cimmino, F. Ambrosino, A. Anastasio, M. D’Errico, V. Masone, L. Roscilli, G. Saracino
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Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/5100fdeb63264b678f34bf766e8bfdbd
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spelling oai:doaj.org-article:5100fdeb63264b678f34bf766e8bfdbd2021-12-02T16:38:49ZA new cylindrical borehole detector for radiographic imaging with muons10.1038/s41598-021-96247-12045-2322https://doaj.org/article/5100fdeb63264b678f34bf766e8bfdbd2021-08-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-96247-1https://doaj.org/toc/2045-2322Abstract Muon radiography is a methodology which enables measuring the mass distribution within large objects. It exploits the abundant flux of cosmic muons and uses detectors with different technologies depending on the application. As the sensitive surface and geometric acceptance are two fundamental parameters for increasing the collection of muons, the optimization of the detectors is very significant. Here we show a potentially innovative detector of size and shape suitable to be inserted inside a borehole, that optimizes the sensitive area and maximizes the angular acceptance thanks to its cylindrical geometry obtained using plastic arc-shaped scintillators. Good spatial resolution is obtained with a reasonable number of channels. The dimensions of the detector make it ideal for use in 25 cm diameter wells. Detailed simulations based on Monte Carlo methods show great cavity detection capability. The detector has been tested in the laboratory, achieving overall excellent performance.L. CimminoF. AmbrosinoA. AnastasioM. D’ErricoV. MasoneL. RoscilliG. SaracinoNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-9 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
L. Cimmino
F. Ambrosino
A. Anastasio
M. D’Errico
V. Masone
L. Roscilli
G. Saracino
A new cylindrical borehole detector for radiographic imaging with muons
description Abstract Muon radiography is a methodology which enables measuring the mass distribution within large objects. It exploits the abundant flux of cosmic muons and uses detectors with different technologies depending on the application. As the sensitive surface and geometric acceptance are two fundamental parameters for increasing the collection of muons, the optimization of the detectors is very significant. Here we show a potentially innovative detector of size and shape suitable to be inserted inside a borehole, that optimizes the sensitive area and maximizes the angular acceptance thanks to its cylindrical geometry obtained using plastic arc-shaped scintillators. Good spatial resolution is obtained with a reasonable number of channels. The dimensions of the detector make it ideal for use in 25 cm diameter wells. Detailed simulations based on Monte Carlo methods show great cavity detection capability. The detector has been tested in the laboratory, achieving overall excellent performance.
format article
author L. Cimmino
F. Ambrosino
A. Anastasio
M. D’Errico
V. Masone
L. Roscilli
G. Saracino
author_facet L. Cimmino
F. Ambrosino
A. Anastasio
M. D’Errico
V. Masone
L. Roscilli
G. Saracino
author_sort L. Cimmino
title A new cylindrical borehole detector for radiographic imaging with muons
title_short A new cylindrical borehole detector for radiographic imaging with muons
title_full A new cylindrical borehole detector for radiographic imaging with muons
title_fullStr A new cylindrical borehole detector for radiographic imaging with muons
title_full_unstemmed A new cylindrical borehole detector for radiographic imaging with muons
title_sort new cylindrical borehole detector for radiographic imaging with muons
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/5100fdeb63264b678f34bf766e8bfdbd
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