Speaker: Wei Tian, Tsung-Dao Lee Institute, Shanghai Jiao Tong University, China
Abstract: Following the groundbreaking discovery and studies of astrophysical neutrinos by IceCube, TRIDENT has been proposed as a next-generation neutrino telescope, planned for construction at a depth of around 3,500 meters in the Western Pacific Ocean. It aims to enhance the search for astrophysical neutrino sources and optimize all-flavor neutrino detection.
As a water-based neutrino telescope, TRIDENT faces unique challenges in optical calibration due to the time-varying and non-uniform optical properties of the dynamic water medium. In this talk, I will present a custom-designed CMOS camera system and its adaptive image processing algorithms for real-time optical calibration, which were successfully demonstrated in TRIDENT’s Pathfinder experiment in 2021.
Looking ahead, tau neutrino identification is crucial for effective flavor separation in TRIDENT. I will also share the latest progress in tau classification, utilizing the double pulse algorithm and exploring the integration of Graph Neural Network techniques, based on the independent PMT waveform readout by TRIDENT's hDOM.