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

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

Blog Article

The detection of air-shower events via radio signals requires the development of a Castor Oil 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 aswell as performing R/C Helicopter an online reconstruction of the shower parameters using neural networks.