TY - JOUR AU - KM3NeT Collaboration (Aiello, S. et al AU - Alves Garre, S. AU - Calvo, D. AU - Carretero, V. AU - Garcia Soto, A. AU - Gozzini, S. R. AU - Hernandez-Rey, J. J. AU - Khan Chowdhury, N. R. AU - Lazo, A. AU - Lessing, N. AU - Manczak, J. AU - Palacios Gonzalez, J. AU - Pastor Gomez, E. J. AU - Rahaman, U. AU - Real, D. AU - Salesa Greus, F. AU - Sanchez Losa, A. AU - Zornoza, J. D. AU - Zuñiga, J. PY - 2023 DA - 2023// TI - KM3NeT broadcast optical data transport system T2 - J. Instrum. JO - Journal of Instrumentation SP - T02001 - 22pp VL - 18 IS - 2 PB - IOP Publishing Ltd KW - Cherenkov detectors KW - Data Processing KW - Large detector systems for particle and astroparticle physics KW - Optics AB - The optical data transport system of the KM3NeT neutrino telescope at the bottom of the Mediterranean Sea will provide more than 6000 optical modules in the detector arrays with a point-to-point optical connection to the control stations onshore. The ARCA and ORCA detectors of KM3NeT are being installed at a depth of about 3500 m and 2500 m, respectively and their distance to the control stations is about 100 kilometers and 40 kilometers. In particular, the two detectors are optimised for the detection of cosmic neutrinos with energies above about 1 TeV (ARCA) and for the detection of atmospheric neutrinos with energies in the range 1 GeV-1 TeV (ORCA). The expected maximum data rate is 200 Mbps per optical module. The implemented optical data transport system matches the layouts of the networks of electro-optical cables and junction boxes in the deep sea. For efficient use of the fibres in the system the technology of Dense Wavelength Division Multiplexing is applied. The performance of the optical system in terms of measured bit error rates, optical budget are presented. The next steps in the implementation of the system are also discussed. SN - 1748-0221 UR - https://arxiv.org/abs/2210.13328 UR - https://doi.org/10.1088/1748-0221/18/02/T02001 DO - 10.1088/1748-0221/18/02/T02001 LA - English N1 - WOS:000989217700001 ID - KM3NeTCollaborationAiello_etal2023 ER -