Speaker
Description
Hyper-Kamiokande is a next generation underground water Cherenkov detector, with the primary goal of constraining CP-violation in the lepton sector. It has a rich science programme that includes neutrino oscillation studies, neutrino astrophysics and searches for BSM physics including proton decay. Based on the experience of its predecessor Super-Kamiokande, it has a total (fiducial) volume around 5 (8) times larger and is predicted to collect nearly 2PB of data per year. As such, the experiment requires an efficient and scalable distributed computing model. This centres around Grid computing resources and the GridPP DIRAC instance for a workload management system and a file catalogue, which was recently expanded to integrate cloud resources through collaborative work between the Hyper-K and Belle II experiments. This computing model, coupled with a modular database and web application server, and a software framework that serves both the near and far water Cherenkov detectors, ensures Hyper-K can meet the experiment's high demands for data processing and Monte Carlo production.
