Development of an Autonomous Detection-Unit Self-Trigger for GRAND Article Swipe
Pablo Correa
,
Jean-Marc Colley
,
T. Huege
,
Kumiko Kotera
,
Sandra Le Coz
,
O. Martineau‐Huynh
,
Markus Roth
,
Xishui Tian
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2409.01026
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2409.01026
One of the major challenges for the radio detection of extensive air showers, as encountered by the Giant Radio Array for Neutrino Detection (GRAND), is the requirement of an autonomous radio self-trigger. This work presents the current development of self-triggering techniques at the detection-unit level -- the so-called first-level trigger (FLT) -- in the context of the NUTRIG project. A second-level trigger (SLT) at the array level is described in a separate contribution. Two FLT methods are described, based on a template-fitting algorithm and a convolutional neural network (CNN). In this work, we compare the preliminary offline performance of both FLT methods in terms of signal selection efficiency and background rejection efficiency. We find that for both methods, ${\gtrsim}40\%$ of the background can be rejected if a signal selection efficiency of 90\% is required at the $5σ$ level.
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Metadata
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/2409.01026
- https://arxiv.org/pdf/2409.01026
- OA Status
- green
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4402954303
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4402954303Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.48550/arxiv.2409.01026Digital Object Identifier
- Title
-
Development of an Autonomous Detection-Unit Self-Trigger for GRANDWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
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2024-09-02Full publication date if available
- Authors
-
Pablo Correa, Jean-Marc Colley, T. Huege, Kumiko Kotera, Sandra Le Coz, O. Martineau‐Huynh, Markus Roth, Xishui TianList of authors in order
- Landing page
-
https://arxiv.org/abs/2409.01026Publisher landing page
- PDF URL
-
https://arxiv.org/pdf/2409.01026Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
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https://arxiv.org/pdf/2409.01026Direct OA link when available
- Concepts
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Convolutional neural network, Computer science, Context (archaeology), Selection (genetic algorithm), SIGNAL (programming language), Radio signal, Artificial intelligence, Real-time computing, Machine learning, Radio frequency, Telecommunications, Geography, Programming language, ArchaeologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
- Related works (count)
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10Other works algorithmically related by OpenAlex
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