Heidelberg 2022 – wissenschaftliches Programm

Bereiche | Tage | Auswahl | Suche | Aktualisierungen | Downloads | Hilfe

T: Fachverband Teilchenphysik

T 20: Neutrino Physics without Accelerators 1

T 20.8: Vortrag

Montag, 21. März 2022, 18:10–18:25, T-H33

Search for the DSNB in JUNO: Development of new Methods for Background Event Identification — •Matthias Mayer¹, Lothar Oberauer¹, Raphael Stock¹, Hans Steiger², Konstantin Schweizer¹, Ulrike Fahrendholz¹, David Dörflinger¹, Sebastian Zwickel¹, Simon Appel¹, Carsten Dittrich¹, Vincent Rompel¹, Luca Schweizer¹, Korbinian Stangler¹, and Simon Csakli¹ for the JUNO collaboration — ¹Technische Universität München, München, Germany — ²Institute of Physics and EC PRISMA+, Johannes Gutenberg Universität Mainz, Mainz, Germany

The diffuse supernova neutrino background (DSNB) is a constant, diffuse flux of relic neutrinos from past core-collapse supernovae over the entire visible universe. The upcoming Jiangmen Underground Neutrino Observatory (JUNO), a 20 kton liquid scintillator detector, expects to observe the DSNB through the inverse beta decay (IBD) detection channel. Besides IBD background from other electron anti-neutrino sources, there are also neutron-induced background events and NC interactions of atmospheric neutrinos of all flavours. This non-IBD background can be discriminated using pulse shape discrimination (PSD) methods. In this talk, I investigate the possibility to increase the fiducial volume available for the DSNB search using machine learning methods. Further, this talk discusses the effects of an electronics simulation and the flourescence parameter choice on the achievable PSD performance. This work is supported by the DFG research unit "JUNO", the DFG collaborative research centre 1258 "NDM", and the DFG Cluster of Excellence "Origins".