KM3NeT Detection Unit Line Fit reconstruction using positioning sensors data

• Published in: Journal of Instrumentation
• Main Authors: Tortosa, Dídac D., Poirè, Chiara
• Format: Article in Journal/Newspaper
• Language: English
• Published: IOP Publishing 2021
• Subjects: Detector alignment and calibration methods (lasers; sources; particle-beams); Control and monitor systems online; Overall mechanics design (support structures and materials; vibration analysis etc); Orca
• Online Access: http://hdl.handle.net/10251/190161; https://doi.org/10.1088/1748-0221/16/09/C09023

[EN] The KM3NeT collaboration is constructing two large neutrino detectors in the Mediterranean Sea: ARCA, located near Sicily and aiming at neutrino astronomy, and 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 after the 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. 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 as 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 proceeding presents an overview of the KM3NeT monitoring system, as well as the line fit model and a selection of results. Tortosa, DD.; Poirè, C. (2021). KM3NeT Detection Unit Line Fit reconstruction using positioning sensors data. Journal of Instrumentation. 16(9):1-7. https://doi.org/10.1088/1748-0221/16/09/C09023 1 7 16 9