Speaker
Florian Führer
(Institut d'Astrophysique de Paris)
Description
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.
Primary author
Florian Führer
(Institut d'Astrophysique de Paris)
Co-authors
Anne Zilles
(IAP)
Matias Tueros
(Universidad de Santiago de Compostela)
Tom Charnock
(Institut d'astrophysique de Paris)
