Würzburg 2018 – scientific programme
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T: Fachverband Teilchenphysik
T 32: Neutrinophysik X
T 32.8: Talk
Tuesday, March 20, 2018, 18:20–18:35, Z6 - HS 0.002
Positron and Electron Discrimination with Deep Neural Network Image Recognition with JUNO — •Thilo Birkenfeld1, Christoph Genster2, Florian Kiel1, Achim Stahl1, and Christopher Wiebusch1 — 1III. Physikalisches Institut B, RWTH Aachen University — 2Institut für Kernphysik Jülich
The JUNO detector is going to be a 20kt liquid scintillator neutrino observatory, currently under construction near Kaiping, China, with a baseline of about 50km to two reactor plants. With its excellent energy resolution and large fiducial volume, it will be able to determine the neutrino mass hierarchy from the energy spectrum. The neutrinos are detected by measuring the signature of the inverse beta decay (IBD), which consists of a prompt positron- and a delayed neutron capture signal. The coincidence of an electron and a neutron, caused by nuclear decay, can mimic such an IBD signature. Those differ by the additional positron annihilation. New developments in deep learning techniques give the possibility to distinguish the different event shapes. In this talk the method to discriminate positrons and electrons via image recognition neural networks is presented.