scholarly journals Towards online triggering for the radio detection of air showers using deep neural networks

2019 ◽  
Vol 216 ◽  
pp. 03004 ◽  
Author(s):  
Florian Föhrer ◽  
Tom Charnock ◽  
Anne Zilles ◽  
Matias Tueros
Keyword(s):  
Neural Networks ◽  
Deep Neural Networks ◽  
Air Showers ◽  
Air Shower ◽  
Single Antenna ◽  
Radio Detection ◽  
Radio Signals ◽  
Trigger Algorithm ◽  
Background Events ◽  
Online Reconstruction

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.

scholarly journals CODALEMA: A COSMIC RAY AIR SHOWER RADIO DETECTION EXPERIMENT

2006 ◽  
Vol 21 (supp01) ◽  
pp. 192-196 ◽  
Author(s):  
D. ARDOUIN ◽  
A. BELLETOILE ◽  
D. CHARRIER ◽  
R. DALLIER ◽  
L. DENIS ◽  
...  
Keyword(s):  
Cosmic Rays ◽  
Cosmic Ray ◽  
High Energy ◽  
Ultra High Energy ◽  
Air Showers ◽  
Detection Experiment ◽  
Transient Signals ◽  
High Energy Cosmic Rays ◽  
Air Shower ◽  
Radio Detection

The CODALEMA experimental device currently detects and characterizes the radio contribution of cosmic ray air showers : arrival directions and electric field topologies of radio transient signals associated to cosmic rays are extracted from the antenna signals. The measured rate, about 1 event per day, corresponds to an energy threshold around 5.1016eV. These results allow to determine the perspectives offered by the present experimental design for radiodetection of Ultra High Energy Cosmic Rays at a larger scale.

RADIO DETECTION OF COSMIC RAYS WITH LOPES

2006 ◽  
Vol 21 (supp01) ◽  
pp. 168-181 ◽  
Author(s):  
A. HORNEFFER ◽  
W. D. APEL ◽  
F. BADEA ◽  
L. BÄHREN ◽  
K. BEKK ◽  
...  
Keyword(s):  
Radio Pulse ◽  
Pulse Height ◽  
Cosmic Ray ◽  
Radio Interference ◽  
Air Showers ◽  
Digital Radio ◽  
Radio Receivers ◽  
Air Shower ◽  
Radio Detection ◽  
Digital Radio Receivers

Measuring radio pulses from cosmic ray air showers offers various new opportunities. New digital radio receivers allow measurements of these radio pulses even in environments that have lots of radio interference. With high bandwidth ADCs and fast data processing it is possible to store the whole waveform information in digital form and analyse transient events like air showers even after they have been recorded. Digital filtering and beam forming can be used to suppress the radio interference so that it is possible to measure the radio pulses even in radio loud environments. LOPES is a prototype station for the new digital radio interferometer LOFAR and is tailored to measure air showers. For this it is located at the site of the KASCADE-Grande air shower experiment. Already with the first phase of LOPES we have been able to measure radio pulses from air showers and show correlations between the radio pulse height and air shower parameters. The first part gives an introduction and presents the science results of LOPES, while the second part presents the hard- and software that enables LOPES to detect air short pulses.

scholarly journals A Rotationally Symmetric Lateral Distribution Function for Radio Emission from Inclined Air Showers

2019 ◽  
Vol 216 ◽  
pp. 03009 ◽  
Author(s):  
Tim Huege ◽  
Lukas Brenk ◽  
Felix Schlüter
Keyword(s):  
Cosmic Ray ◽  
Radiation Energy ◽  
Lateral Distribution ◽  
Air Showers ◽  
Radio Detection ◽  
Event Reconstruction ◽  
Rotationally Symmetric ◽  
Shower Maximum ◽  
Radio Signals ◽  
Charge Excess

Radio detection of inclined air showers is currently receiving great attention. To exploit the potential, a suitable event reconstruction needs to be developed. A crucial step in this direction is the development of a model for the lateral distribution of the radio signals, which in the case of inclined air showers exhibits asymmetries due to “earlylate” effects in addition to the usual asymmetries from the superposition of charge-excess and geomagnetic emission. We present a model which corrects for all asymmetries and successfully describes the lateral distribution of the energy fluence with a rotationally symmetric function. This gives access to the radiation energy as a measure of the energy of the cosmic-ray primary, and is also sensitive to the depth of the shower maximum.

scholarly journals Radio Morphing - towards a fast computation of the radio signal from air-showers

2019 ◽  
Vol 216 ◽  
pp. 03012
Author(s):  
Anne Zilles ◽  
Olivier Martineau-Huynh ◽  
Kumiko Kotera ◽  
Matias Tueros ◽  
Krijn de Vries ◽  
...  
Keyword(s):  
Antenna Arrays ◽  
Radio Signal ◽  
Radio Pulse ◽  
High Energy ◽  
Fast Computation ◽  
Ultrahigh Energy ◽  
Air Showers ◽  
Mountainous Regions ◽  
Air Shower ◽  
Radio Detection

Over the last decades, radio detection of air showers has been established as a promising detection technique for ultrahigh-energy cosmic rays and neutrinos. Very large or dense antenna arrays are necessary to be proficient at collecting information about these particles and understanding their properties accurately. The exploitation of such arrays requires to run massive air-shower simulations to evaluate the radio signal at each antenna position, taking into account features such as the ground topology. In order to reduce computational costs, we have developed a fast computation of the emitted radio signal on the basis of generic shower simulations, called Radio Morphing. The method consists in the calculation of the radio signal of any air-shower by i) a scaling of the electric-field amplitude of a reference air shower to the target shower, ii) an isometry on the simulated positions and iii) an interpolation of the radio pulse at the desired position. This technique enables one to gain many orders of magnitude in CPU time compared to a standard computation. In this contribution, we present this novel tool and explain its methodology. In particular, Radio Morphing will be a key element for the simulation chain of the Giant Radio Array for Neutrino Detection (GRAND) project, that aims at detecting ultra-high-energy neutrinos with an array of 200 000 radio antennas in mountainous regions.

Deep neural networks trained with heavier data augmentation learn features closer to representations in hIT

2018 ◽  
Author(s):  
Alex Hernández-García ◽  
Johannes Mehrer ◽  
Nikolaus Kriegeskorte ◽  
Peter König ◽  
Tim C. Kietzmann
Keyword(s):  
Neural Networks ◽  
Deep Neural Networks ◽  
Data Augmentation

Representation of adversarial images in deep neural networks and the human brain

2018 ◽  
Author(s):  
Chi Zhang ◽  
Xiaohan Duan ◽  
Ruyuan Zhang ◽  
Li Tong
Keyword(s):  
Neural Networks ◽  
Human Brain ◽  
Deep Neural Networks
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