29 July 2019 to 2 August 2019
Northeastern University
US/Eastern timezone

Suppression of Cosmic Muon Spallation Backgrounds in KamLAND-ZEN Using ConvolutionalNeural Network

31 Jul 2019, 16:15
15m
West Village G 104 (Northeastern University)

West Village G 104

Northeastern University

Oral Presentation Neutrino Physics Neutrino Physics

Speaker

Mr Aobo Li (Boston University)

Description

Liquid scintillator-based detectors are one of the leading detector technologies in the search for neutrinoless double beta decay.KamLAND-ZEN, one of the leading experiment in this region, is currently limited by naturally occurring and spallation induced backgrounds. In the future they will be limited by the neutrino-electron scattering of boron-8 solar neutrinos.With the advancements in machine learning technology, we attempt to recognize neutrinos using a Spherical Convolutional Neural Network based model. We manage to reject backgrounds that are previously considered "impossible" in Monte Carlo data. With the advancement in this field, we are looking forward to adopt sophisticated algorithm, and tackle hard problems including directionality reconstruction.

Primary author

Mr Aobo Li (Boston University)

Co-authors

Dr John Hardin (Massachusetts Institute of Technology) Mr Zhenghao Fu (Massachusetts Institute of Technology) Andrey Elagin (University of Chicago) Chris Grant (UC Davis) Lindley Winslow (Massachusetts Institute of Technology)

Presentation materials