Published 2019
| Version v1
Journal article
Towards online triggering for the radio detection of air showers using deep neural networks
- 1. Sorbonne Université, Institut Lagrange de Paris, 98bis boulevard Arago, 75014 Paris (France)
- 2. Sorbonne Université, UPMC University Paris 6 et CNRS, UMR 7095, Institut d'Astrophysique de Paris, 98 bisbd Arago 75014 Paris (France)
- 3. Instituto de Fésica La Plata - CONICET/CCT- La Plata.Calle 49 esq 115. La Plata, Buenos Aires (Argentina)
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.
Availability note (English)
Available from https://www.epj-conferences.org/articles/epjconf/pdf/2019/21/epjconf_arena2018_03004.pdf; https://doaj.org/article/07896dd2eddb441b8fe0f52a6d5fd319Additional details
Identifiers
Publishing Information
- Journal Title
- EPJ. Web of Conferences
- Journal Volume
- 216
- Journal Page Range
- vp.
- ISSN
- 2100-014X
Conference
- Title
- 8. International Conference on Acoustic and Radio EeV Neutrino Detection Activities
- Acronym
- ARENA 2018
- Dates
- 12-15 Jun 2018
- Place
- Catania (Italy)
INIS
- Country of Publication
- France
- Country of Input or Organization
- France
- INIS RN
- 53095353
- Subject category
- S46: INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND TECHNOLOGY;
- Resource subtype / Literary indicator
- Conference
- Descriptors DEI
- ALGORITHMS; ANTENNAS; CASCADE SHOWERS; NEURAL NETWORKS; RADIATION DETECTION; SIGNALS
- Descriptors DEC
- DETECTION; ELECTRICAL EQUIPMENT; EQUIPMENT; MATHEMATICAL LOGIC; SHOWERS