Embedded Software of the KM3NeT Central Logic Board
S. Aiello, A. Albert, S. Alves Garre, Z. Aly, A. Ambrosone, F. Ameli,, M. Andre, E. Androutsou, M. Anghinolfi, M. Anguita, L. Aphecetche, M. Ardid,, S. Ardid, H. Atmani, J. Aublin, C. Bagatelas, L. Bailly-Salins, Z., Barda\v{c}ov\'a, B. Baret, S. Basegmez du Pree, Y. Becherini

TL;DR
This paper details the architecture and implementation of embedded software for the KM3NeT neutrino telescopes' acquisition nodes, enabling remote management and reconfiguration in a complex, inaccessible hardware environment.
Contribution
It introduces a flexible embedded software framework designed for diverse hardware versions and functionalities in large-scale neutrino detection arrays.
Findings
Software supports remote hardware management and reconfiguration
Framework accommodates hardware variations and upgrades
Enhances reliability and maintainability of the detection network
Abstract
The KM3NeT Collaboration is building and operating two deep sea neutrino telescopes at the bottom of the Mediterranean Sea. The telescopes consist of latices of photomultiplier tubes housed in pressure-resistant glass spheres, called digital optical modules and arranged in vertical detection units. The two main scientific goals are the determination of the neutrino mass ordering and the discovery and observation of high-energy neutrino sources in the Universe. Neutrinos are detected via the Cherenkov light, which is induced by charged particles originated in neutrino interactions. The photomultiplier tubes convert the Cherenkov light into electrical signals that are acquired and timestamped by the acquisition electronics. Each optical module houses the acquisition electronics for collecting and timestamping the photomultiplier signals with one nanosecond accuracy. Once finished, the two…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
