Towards online triggering for the radio detection of air showers using deep neural networks

ANNE ZILLES; FLORIAN FÜHRER; MATÍAS TUEROS; TOM CHARNOCK1

Catania

Workshop; 8th international workshop on Acoustic and Radio EeV Neutrino Detection Activities; 2018

Laboratori Nazionali del Sud in Catania

The detection of air-shower events via radio signals requires the developmentof a trigger algorithm for 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.