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

The detection of air-shower events via radio signals requires the development of 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 ev...

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Bibliographic Details
Main Authors: Föhrer Florian, Charnock Tom, Zilles Anne, Tueros Matias
Format: Article
Language:English
Published: EDP Sciences 2019-01-01
Series:EPJ Web of Conferences
Online Access:https://www.epj-conferences.org/articles/epjconf/pdf/2019/21/epjconf_arena2018_03004.pdf
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spelling doaj-07896dd2eddb441b8fe0f52a6d5fd3192021-08-02T06:23:56ZengEDP SciencesEPJ Web of Conferences2100-014X2019-01-012160300410.1051/epjconf/201921603004epjconf_arena2018_03004Towards online triggering for the radio detection of air showers using deep neural networksFöhrer FlorianCharnock TomZilles AnneTueros MatiasThe detection of air-shower events via radio signals requires the development of 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 aswell as performing an online reconstruction of the shower parameters using neural networks.https://www.epj-conferences.org/articles/epjconf/pdf/2019/21/epjconf_arena2018_03004.pdf
collection DOAJ
language English
format Article
sources DOAJ
author Föhrer Florian
Charnock Tom
Zilles Anne
Tueros Matias
spellingShingle Föhrer Florian
Charnock Tom
Zilles Anne
Tueros Matias
Towards online triggering for the radio detection of air showers using deep neural networks
EPJ Web of Conferences
author_facet Föhrer Florian
Charnock Tom
Zilles Anne
Tueros Matias
author_sort Föhrer Florian
title Towards online triggering for the radio detection of air showers using deep neural networks
title_short Towards online triggering for the radio detection of air showers using deep neural networks
title_full Towards online triggering for the radio detection of air showers using deep neural networks
title_fullStr Towards online triggering for the radio detection of air showers using deep neural networks
title_full_unstemmed Towards online triggering for the radio detection of air showers using deep neural networks
title_sort towards online triggering for the radio detection of air showers using deep neural networks
publisher EDP Sciences
series EPJ Web of Conferences
issn 2100-014X
publishDate 2019-01-01
description The detection of air-shower events via radio signals requires the development of 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 aswell as performing an online reconstruction of the shower parameters using neural networks.
url https://www.epj-conferences.org/articles/epjconf/pdf/2019/21/epjconf_arena2018_03004.pdf
work_keys_str_mv AT fohrerflorian towardsonlinetriggeringfortheradiodetectionofairshowersusingdeepneuralnetworks
AT charnocktom towardsonlinetriggeringfortheradiodetectionofairshowersusingdeepneuralnetworks
AT zillesanne towardsonlinetriggeringfortheradiodetectionofairshowersusingdeepneuralnetworks
AT tuerosmatias towardsonlinetriggeringfortheradiodetectionofairshowersusingdeepneuralnetworks
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