Research reveals effective data processing methods in the KM3NeT neutrino telescope, suggesting improved quality management.
KM3NeT is a water Cherenkov neutrino telescope building two detectors in the Mediterranean Sea: ORCA and ARCA. One of the KM3NeT advantage is the possibility of collecting physics data during its installation phase. However, this introduces the challenge of coping with many different configurations over time. A description of the data-taking workflow, from the processing to the quality assessment is presented. The focus is on a run-by-run approach used for several detector configurations from 2020 onward, ensuring up to 97% high-quality efficiency with respect to the total processed data.
No takes yet. Share an insight, caveat, or question.
Chiara Lastoria (2025) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: