Tsung-Dao Lee Institute/N6F-N602 - Lecture Room (Tsung-Dao Lee Institute)
Tsung-Dao Lee Institute/N6F-N602 - Lecture Room
Tsung-Dao Lee Institute
40
Description
Abstract:
The Jiangmen Underground Neutrino Observatory (JUNO) experiment is a multi-purpose experiment with a 20-kton liquid scintillator detector currently under construction in southern China. The main physics goal of JUNO is to determine the neutrino mass ordering (NMO). While its main sensitivity is from reactor neutrinos, an atmospheric neutrino oscillation measurement in JUNO can potentially provide independent sensitivity to NMO, and increase JUNO’s total sensitivity in a combined analysis. However, atmospheric neutrino measurements in liquid scintillator detectors like JUNO are very challenging since there is no direct tracking information that can be utilized for directionality reconstruction and event identification which are mandatory for an oscillation analysis. In this talk I introduce a novel method we developed for atmospheric neutrino measurements in liquid scintillator detectors. This method combines waveform analysis and machine learning techniques, and has been demonstrated to be able to reconstruct atmospheric neutrinos’ directionality, energy and flavor with good performances. Recent progresses made by JUNO using this method towards a oscillation sensitivity evaluation are reported.
Brief Biography:
Hongyue Duyang received his Ph.D. in particle physics from University of South Carolina (US) in 2014. He continued to serve as a postdoc at University of South Carolina, and also worked at Fermilab (US) as Neutrino Physics Center Fellow (2017) and Intensity Frontier Fellow (2020) before joined Shandong University (Qingdao) in 2021. He participates in international neutrino experiments including NOvA, DUNE and JUNO, with his main focus on the experimental study of neutrino oscillation and interactions and related detector and software techniques.
