Speaker
Description
Cherenkov radiation is widely used in particle physics and astro-physics since its discovery in the early 20th century.
Numerous waterCherenkov detectors have been deployed, with more in preparation,for various physics programs such as nucleon decay search and preciseneutrino measurements. Like all other experiments, efficiently quan-tifying detector systematic uncertainties poses a significant challengedue to their intricate impacts on the observed physics. This challengebecomes even more crucial in the next generation experiments, whereextensive data statistics will make the systematic effects the domi-nant uncertainties. Thankfully, the rapid advancements in artificialintelligence and deep learning offer promising solutions to tackle thesechallenges.
