A neural network to classify GRAND radio time traces Article Swipe
Sandra Le Coz
,
O. Martineau‐Huynh
,
A. Benoit-Lévy
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.22323/1.424.0041
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.22323/1.424.0041
GRAND is a Ultra High Energy (UHE) cosmic particles detection project, consisting in a giant,\nself-triggered, antenna array. Wherever we decide to setup the antennas apart from polar areas,\nwe will generally face a high rate of background signals, orders of magnitude higher than the rate\nof extensive air showers. To avoid the saturation of the acquisition, we need to reject a significant\npart of the data at the antenna level, with a more sophisticated method than a basic peak-over baseline selection. We present here an attempt to discriminate air showers and background radio\ntime traces with a convolutional neural network, using experimental data rather than simulations.\nThese data were produced with TREND, a self-triggered 50-antennas array, which was the seed\nfor the GRAND project. At the antenna-level, for a set of signals that had triggered TREND, it\nwas possible to reject 82% of the ultra-dominant background, while preserving 86% of the air\nshower signals.
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- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.22323/1.424.0041
- https://pos.sissa.it/424/041/pdf
- OA Status
- gold
- References
- 3
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4385070372
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- OpenAlex ID
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https://openalex.org/W4385070372Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.22323/1.424.0041Digital Object Identifier
- Title
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A neural network to classify GRAND radio time tracesWork title
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preprintOpenAlex work type
- Language
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enPrimary language
- Publication year
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2023Year of publication
- Publication date
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2023-07-20Full publication date if available
- Authors
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Sandra Le Coz, O. Martineau‐Huynh, A. Benoit-LévyList of authors in order
- Landing page
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https://doi.org/10.22323/1.424.0041Publisher landing page
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https://pos.sissa.it/424/041/pdfDirect link to full text PDF
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://pos.sissa.it/424/041/pdfDirect OA link when available
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Air shower, Antenna (radio), Computer science, Cosmic ray, Convolutional neural network, Data set, Baseline (sea), Physics, Remote sensing, Real-time computing, Telecommunications, Artificial intelligence, Astronomy, Geography, Geology, OceanographyTop concepts (fields/topics) attached by OpenAlex
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0Total citation count in OpenAlex
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10Other works algorithmically related by OpenAlex
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