Speaker
Description
The KM3NeT collaboration is constructing two underwater neutrino detectors in the Mediterranean Sea sharing the same technology: the ARCA and ORCA detectors. ARCA is optimized for the observation of astrophysical neutrinos, while ORCA is designed to determine the neutrino mass hierarchy by detecting atmospheric neutrinos. Data from the first deployed detection units are being analyzed and several physics analyses have already been presented. As the detector configurations are growing and therefore, the amount of the recorded data, efficient data quality and processing management are essential.
Data reconstruction and Monte Carlo simulations are handled separately for each data taking period (run), to achieve complete processing output and optimal computing performance. A Run-by-Run simulation procedure is followed, to reproduce the conditions, possible seawater environment variations as well as the acquisition setup for each run. To handle computing requirements such as portability, reproducibility and scalability, the collaboration implemented this approach using Snakemake, a trending workflow management system.
