FPD Seminar

The Philosophy of Neutrino: Deep Learning, Neutrino Detectors and the Universe

by Aobo Li (Boston University)

America/Los_Angeles
48-224 - Madrone (SLAC)

48-224 - Madrone

SLAC

Description

Neutrinoless Double Beta Decay(0νββ) is one of the major research interests in neutrino physics. The discovery of 0νββ would answer persistent puzzles in the standard model. Liquid scintillator-based detectors are one of the leading detector technologies in the search for neutrinos. They are currently limited by naturally occurring and spallation induced backgrounds. With the advancements in machine learning and computer vision, we designed model to recognize neutrinos based on Spherical Convolutional Neural Network. We manage to reject backgrounds in Monte Carlo data that are previously considered "impossible", which leads to a non-trivial sensitivity boost without hardware update. With the advancement in this field, we are looking forward to adopt more sophisticated algorithm, and tackle harder problems including directionality reconstruction.

Organised by

Alden Fan / Christina Ignarra