14–24 Jul 2025
CICG - International Conference Centre - Geneva, Switzerland
Europe/Zurich timezone
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The KM3NeT-ARCA: Status and results of the Acoustic Positioning system.

Not scheduled
20m
Level -1 & 0

Level -1 & 0

Poster Neutrino Astronomy & Physics PO-2

Speakers

Daniele Paesani (LNF-INFN) Giorgio Riccobene

Description

The KM3NeT (Cubic Kilometre Neutrino Telescope) is an underwater high-energy neutrino telescope consists of two detectors located offshore Toulon, France, at 2500 m water depth, called ORCA (Oscillation Research with Cosmics in the Abyss) and offshore Capo Passero, Italy, at 3500 m water depth called ARCA (Astronomy Research with Cosmics in the Abyss). The basic element of the detector is the DOM (Digital Optical Module), hosting 31 photomultiplier tubes (PMTs), capable of identifying single photon hits and transfer hit time and charge information to shore. A vertical line of 18 DOMs forms a Detection Unit (DU): about 700 m long in ARCA, and about 200 m long in ORCA. A custom Acoustic Positioning System (APS) was designed and developed by the KM3NeT collaboration, to obtain an accuracy of a few centimeters. This is crucial in the KM3NeT-ARCA detector in order to be able to reconstruct neutrino directions with the desired accuracy. Building upon the white rabbit time synchronization, the APS operates as a phased array of several thousand digital acoustic receivers, hosted in all DOMs and the anchors of the DUs. Each receiver records acoustic signals emitted by a long baseline of geo-referenced beacons anchored on the seafloor. The APS allows constant monitoring of the position and movements of the detector elements, subject to underwater currents. Acoustic data are continuously sampled at 193.5 kHz and streamed to shore, for analysis. Time of Arrivals of acoustic signals is used to measure the distance between APS elements. In this contribution we will present results and performances of the system based on position and orientation reconstruction of optical modules obtained via multilateration.

Collaboration(s) KM3NeT

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