http://arxiv.org/abs/1809.01934
The detection of air-shower events via radio signals requires to develop a trigger algorithm for a clean discrimination between signal and background events in order to reduce the data stream coming from false triggers. In this contribution we will describe an approach to trigger air-shower events on a single-antenna level as well as performing an online reconstruction of the shower parameters using neural networks.
F. Führer, T. Charnock, A. Zilles, et. al.
Fri, 7 Sep 18
21/65
Comments: To be published in the proceedings of the ARENA2018 conference