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arXiv · 1809.01934

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

Florian Führer·Tom Charnock·Anne Zilles·Matias Tueros
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Abstract

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.

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Florian Führer, Tom Charnock, Anne Zilles, Matias Tueros. 2018-09-06. Towards online triggering for the radio detection of air showers using deep neural networks. https://arxiv.org/abs/1809.01934

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