R&D for future large-scale neutrino detectors using NuDot.

Abstract



NuDot is a ton-scale liquid scintillator research and development testbed. Presently, it aims to develop techniques to reduce one of the dominant backgrounds in large modern and future liquid scintillator neutrinoless double beta decay (0νββ) searches: the solar neutrino background. With the help of machine learning and high-speed electronics, NuDot will demonstrate the ability to extract directional information through the separation of the prompt Cherenkov radiation within the isotropic scintillation emission. This separation is done using low time-transit-spread photomultiplier tubes. The talk will introduce the NuDot project and how we are using machine learning to extract signal information.