KM3NeT Detection Unit Line Fit reconstruction using positioning sensors data
[EN] The KM3NeT collaboration is constructing two large neutrino detectors in the Mediterranean Sea: KM3NeT/ARCA, located near Sicily and aiming at neutrino astronomy, and KM3NeT/ORCA, located near Toulon and designed for neutrino oscillation studies. The two detectors, together, will have hundreds...
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ftunivpvalencia:oai:riunet.upv.es:10251/190408 2023-05-15T17:53:56+02:00 KM3NeT Detection Unit Line Fit reconstruction using positioning sensors data Diego-Tortosa, Dídac Poirè, Chiara 2022-03-18 http://hdl.handle.net/10251/190408 https://doi.org/10.22323/1.395.1052 eng eng Sissa PoS. Proceedings of Science https://doi.org/10.22323/1.395.1052 http://hdl.handle.net/10251/190408 doi:10.22323/1.395.1052 urn:eissn:1824-8039 http://creativecommons.org/licenses/by-nc-nd/4.0/ info:eu-repo/semantics/openAccess CC-BY-NC-ND info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion 2022 ftunivpvalencia https://doi.org/10.22323/1.395.1052 2022-12-07T00:06:51Z [EN] The KM3NeT collaboration is constructing two large neutrino detectors in the Mediterranean Sea: KM3NeT/ARCA, located near Sicily and aiming at neutrino astronomy, and KM3NeT/ORCA, located near Toulon and designed for neutrino oscillation studies. The two detectors, together, will have hundreds of Detection Units (DUs) with 18 Digital Optical Modules (DOMs) maintained vertical by buoyancy, forming a large 3D optical array for detecting the Cherenkov light produced by particle produced in neutrino interactions. To properly reconstruct the direction of the incoming neutrino, the position of the DOMs must be known precisely with an accuracy of less than 10 cm, and since the DUs are affected by sea current the position will be measured every 10 minutes. For this purpose, there are acoustic and orientation sensors inside the DOMs. An Attitude Heading Reference System (AHRS) chip provides the components values of the Acceleration and Magnetic field in the DOM, from which it is possible to calculate Yaw, Pitch, and Roll for each floor of the line. A piezo sensor detects the signals from fixed acoustic emitters on the sea floor, so to position it by trilateration. Data from these sensors are used as an input to reconstruct the shape of the entire line based on a DU Line Fit mechanical model. This poster presents an overview of the KM3NeT monitoring system, as well as the line fit model and its results. Diego-Tortosa, D.; Poirè, C. (2022). KM3NeT Detection Unit Line Fit reconstruction using positioning sensors data. PoS. Proceedings of Science. 395:1-10. https://doi.org/10.22323/1.395.1052 1 10 395 Article in Journal/Newspaper Orca Politechnical University of Valencia: RiuNet Proceedings of 37th International Cosmic Ray Conference — PoS(ICRC2021) 1052 |
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Open Polar |
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Politechnical University of Valencia: RiuNet |
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ftunivpvalencia |
language |
English |
description |
[EN] The KM3NeT collaboration is constructing two large neutrino detectors in the Mediterranean Sea: KM3NeT/ARCA, located near Sicily and aiming at neutrino astronomy, and KM3NeT/ORCA, located near Toulon and designed for neutrino oscillation studies. The two detectors, together, will have hundreds of Detection Units (DUs) with 18 Digital Optical Modules (DOMs) maintained vertical by buoyancy, forming a large 3D optical array for detecting the Cherenkov light produced by particle produced in neutrino interactions. To properly reconstruct the direction of the incoming neutrino, the position of the DOMs must be known precisely with an accuracy of less than 10 cm, and since the DUs are affected by sea current the position will be measured every 10 minutes. For this purpose, there are acoustic and orientation sensors inside the DOMs. An Attitude Heading Reference System (AHRS) chip provides the components values of the Acceleration and Magnetic field in the DOM, from which it is possible to calculate Yaw, Pitch, and Roll for each floor of the line. A piezo sensor detects the signals from fixed acoustic emitters on the sea floor, so to position it by trilateration. Data from these sensors are used as an input to reconstruct the shape of the entire line based on a DU Line Fit mechanical model. This poster presents an overview of the KM3NeT monitoring system, as well as the line fit model and its results. Diego-Tortosa, D.; Poirè, C. (2022). KM3NeT Detection Unit Line Fit reconstruction using positioning sensors data. PoS. Proceedings of Science. 395:1-10. https://doi.org/10.22323/1.395.1052 1 10 395 |
format |
Article in Journal/Newspaper |
author |
Diego-Tortosa, Dídac Poirè, Chiara |
spellingShingle |
Diego-Tortosa, Dídac Poirè, Chiara KM3NeT Detection Unit Line Fit reconstruction using positioning sensors data |
author_facet |
Diego-Tortosa, Dídac Poirè, Chiara |
author_sort |
Diego-Tortosa, Dídac |
title |
KM3NeT Detection Unit Line Fit reconstruction using positioning sensors data |
title_short |
KM3NeT Detection Unit Line Fit reconstruction using positioning sensors data |
title_full |
KM3NeT Detection Unit Line Fit reconstruction using positioning sensors data |
title_fullStr |
KM3NeT Detection Unit Line Fit reconstruction using positioning sensors data |
title_full_unstemmed |
KM3NeT Detection Unit Line Fit reconstruction using positioning sensors data |
title_sort |
km3net detection unit line fit reconstruction using positioning sensors data |
publisher |
Sissa |
publishDate |
2022 |
url |
http://hdl.handle.net/10251/190408 https://doi.org/10.22323/1.395.1052 |
genre |
Orca |
genre_facet |
Orca |
op_relation |
PoS. Proceedings of Science https://doi.org/10.22323/1.395.1052 http://hdl.handle.net/10251/190408 doi:10.22323/1.395.1052 urn:eissn:1824-8039 |
op_rights |
http://creativecommons.org/licenses/by-nc-nd/4.0/ info:eu-repo/semantics/openAccess |
op_rightsnorm |
CC-BY-NC-ND |
op_doi |
https://doi.org/10.22323/1.395.1052 |
container_title |
Proceedings of 37th International Cosmic Ray Conference — PoS(ICRC2021) |
container_start_page |
1052 |
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1766161654043639808 |