Speaker
Description
The European Spallation Source Neutrino Super Beam (ESSnuSB) is an experiment envisioned to make use of the world’s most intense proton source - produced at the European Spallation Source (ESS) - to create a powerful neutrino beam with the goal of studying Charge-Parity (CP) violation in the leptonic sector. This will allow the measuring of neutrinos in a Water Cherenkov (WC) detector in Zinkgruvan Mine in Sweden, to which the distance from ESS corresponds to the second neutrino oscillation maximum, where the effects of CP violation is greatest. Graph neural networks (GNNs) have proven well suited for Cherenkov detector event reconstruction, where the events are sparse, varying in size, and non-euclidian in structure. This work demonstrates the implementation of GNNs in the reconstruction of simulated ESSnuSB near detector events, and how GNNs can be used for fast investigations of variations in detector geometries and PMT properties in the developing stages of ESSnuSB.
