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/07896dd2eddb441b8fe0f52a6d5fd319

Additional details

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