Speaker
Cen Mo
Description
The tRoplcal DEep-sea Neutrino Telescope (TRIDENT) is a next-generation neutrino detector located in the South China Sea. High computational efficiency is required for event reconstruction methods in order to calculate the incident particle's direction and energy. In a typical neutrino event, less than 1% of photosensors are hit, making Graph Neural Networks particularly well-suited for their reconstruction. In this study, a Graph Neural Network named TridentNet has been constructed to achieve high resolution in direction and energy reconstruction. We present results from TridentNet and make comparisons with traditional reconstruction method.
