Speaker
Licheng FENG
(Kyoto University)
Description
Atmospheric Neutral Current Quasi-Elastic (NCQE) interactions are a dominant background for the Super-Kamiokande Diffuse Supernova Neutrino Background (DSNB) search. The large uncertainty in Atmospheric NCQE interactions is a key bottleneck limiting DSNB sensitivity. We use NCQE events from the T2K neutrino beam to constrain this uncertainty and to validate selection cuts. We analyzed the impact of \nu-16O NCQE gamma predictions on Cherenkov-ring observables to evaluate signal-background separation strategies, including a neural-network-based method. Using T2K data, we constrain the total atmospheric NCQE uncertainty to ~40%.
Author
Licheng FENG
(Kyoto University)