Improving sensitivity of the ARIANNA detector by rejecting thermal noise with deep learning

Anker, A.; Baldi, P.; W. Barwick, S.; Beise, J.; Besson, D.; Bouma, Sjoerd; Cataldo, Maddalena; Chen, P.; Gaswint, G.; Gläser, Christian; Hallgren, A.; Hallmann, S.; Hanson, J.C.; Klein, S.R.; Kleinfelder, S.; Lahmann, R.; Liu, J.; Magnuson, M.; McAleer, Stephen; Meyers, Z.S.; W. Nam, J.; Nelles, A.; Novikov, A.; P. Paul, Manuel; Persichilli, C.; Plaisier, I.; Pyras, Lilly; Rice-Smith, R.; Tatar, J.; Wang, S.-H.; Welling, Christoph; Zhao, L.R.

doi:10.1088/1748-0221/17/03/p03007

Public

Improving sensitivity of the ARIANNA detector by rejecting thermal noise with deep learning

Published in Journal of Instrumentation • Mar 1, 2022

Authors:

A. Anker

P. Baldi

S. W. Barwick

Abstract

Abstract The ARIANNA experiment is an Askaryan detector designed to record radio signals induced by neutrino interactions in the Antarctic ice. Because of the low neutrino flux at high energies (E_ν> 10^16 eV), the physics output is limited by statistics. Hence, an increase in sensitivity significan...

Subject

Discriminator

Noise (video)

Sensitivity (control systems)

Research Assistant

AI chat, annotations, notes & similar papers

Finding related papers...

Discussions

(0)

No comments yet

Be the first to share your thoughts!