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Ka Vang Tsang (SLAC) “Imaging Neutrinos: Machine Learning in LArTPC”
March 12, 2020 @ 4:00 pm - 5:00 pm
Abstract:
Ever since the discovery, neutrinos have proven to be one of the most intriguing subatomic particles. In the past two decades, we have made tremendous progress in the establishment of the neutrino oscillation phenomenon. We are now able to reveal the nature using neutrinos, such as CP violation in the lepton sector, the neutrino mass hierarchy, and the possible existence of the sterile neutrinos.
Liquid argon time projection chamber (LArTPC) is a novel technology for neutrino detection because of its excellent imaging capability of charged particles. However, it is challenging to reconstruct and analyze LArTPC events efficiently in large scale detectors. In this talk, I will review some revolutionary ideas in machine learning, and demonstrate the use of these techniques to tackle the challenge in LArTPC event reconstruction.