scholarly journals Signal recognition and background suppression by matched filters and neural networks for Tunka-Rex

2019 ◽  
Vol 216 ◽  
pp. 02003
Author(s):  
D. Shipilov ◽  
P.A. Bezyazeekov ◽  
N.M. Budnev ◽  
D. Chernykh ◽  
O. Fedorov ◽  
...  
Keyword(s):  
Neural Networks ◽  
Antenna Arrays ◽  
Signal Reconstruction ◽  
Cosmic Ray ◽  
Matched Filtering ◽  
Background Suppression ◽  
Signal Recognition ◽  
Air Showers ◽  
Matched Filters ◽  
Prospects Of Application

The Tunka Radio Extension (Tunka-Rex) is a digital antenna array, which measures radio emission of the cosmic-ray air-showers in the frequency band of 30-80 MHz. Tunka-Rex is co-located with the TAIGA experiment in Siberia and consists of 63 antennas, 57 of them are in a densely instrumented area of about 1 km2. In the present workwe discuss the improvements of the signal reconstruction applied for Tunka-Rex. At the first stage we implemented matched filtering using averaged signals as template. The simulation study has shown that matched filtering allows one to decrease the threshold of signal detection and increase its purity. However, the maximum performanceof matched filtering is achievable only in case of white noise, while in reality the noise is not fully random due to different reasons. To recognize hidden features of the noise and treat them, we decided to use convolutional neural network with autoencoder architecture. Taking the recorded trace as an input, the autoencoder returns denoised traces, i.e. removes all signal-unrelated amplitudes. We present the comparison between the standard method of signal reconstruction, matched filtering and the autoencoder, and discuss the prospects of application of neural networks for lowering the threshold of digital antenna arrays for cosmic-ray detection.

Separating γ- and hadron-induced cosmic ray air showers with feed-forward neural networks using the charged particle information

1995 ◽  
Vol 4 (2) ◽  
pp. 119-132 ◽  
Author(s):  
S. Westerhoff ◽  
B. Funk ◽  
A. Lindner ◽  
N. Magnussen ◽  
H. Meyer ◽  
...  
Keyword(s):  
Neural Networks ◽  
Charged Particle ◽  
Cosmic Ray ◽  
Air Showers ◽  
Feed Forward ◽  
Feed Forward Neural Networks

Improving Signal Reconstruction with Matched Filters and Neural Networks for the Tunka-Rex Experiment

2019 ◽  
Vol 83 (8) ◽  
pp. 1013-1015
Author(s):  
T. N. Marshalkina ◽  
P. A. Bezyazeekov ◽  
N. M. Budnev ◽  
D. O. Chernykh ◽  
O. L. Fedorov ◽  
...  
Keyword(s):  
Neural Networks ◽  
Signal Reconstruction ◽  
Matched Filters

Применение адаптивного анизотропного диффузного фильтра для повышения качества изображения отражателей при проведении ультразвукового неразрушающего контроля

2021 ◽  
pp. 3-12
Author(s):  
Е.Г. Базулин
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Antenna Arrays ◽  
Human Factor ◽  
Signal To Noise Ratio ◽  
Signal To Noise ◽  
Efficient Operation ◽  
Optical Images ◽  
Segmentation Methods ◽  
Segmentation Of Images

Currently, in order to increase the speed of preparing the ultrasound control protocol and reduce the influence of the human factor, systems for recognizing (classifying) reflectors based on artificial neural networks are being actively developed. For their more efficient operation, the images of the reflectors need to be worked on in order to increase the signal-to-noise ratio of the image and its segmentation (clustering). One of the segmentation methods is to process the image with an adaptive anisotropic diffuse filter, which is used to process optical images. In model experiments, the effectiveness of using this texture filter for segmentation of images of reflectors reconstructed from echo signals measured using antenna arrays is demonstrated.

Distribution of arrival times in cosmic ray showers

1978 ◽  
Vol 10 (4) ◽  
pp. 730-735
Author(s):  
H. S. Green
Keyword(s):  
Cosmic Radiation ◽  
Three Dimensional ◽  
Stochastic Theory ◽  
Cosmic Ray ◽  
Time Of Arrival ◽  
Air Showers ◽  
Actual Distribution ◽  
Arrival Times ◽  
Primary Particles ◽  
Theoretical Analyses

The theoretical analyses of the extensive air showers developing from the cosmic radiation has its origins in the work of Carlson and Oppenheimer (1937) and Bhabha and Heitler (1937), at a time when it was thought that such showers were initiated by electrons. The realization that protons and other nuclei were the primary particles led to a reformulation of the theory by Heitler and Janossy (1949), Messel and Green (1952) and others, in which the production of energetic pions and the three-dimensional development of air showers were accounted for. But as the soft (electromagnetic) component of the cosmic radiation is the most prominent feature of air showers at sea level, there has been a sustained interest in the theory of this component. Most of the more recent work, such as that by Butcher and Messel (1960) and Thielheim and Zöllner (1972) has relied on computer simulation; but this method has disadvantages in terms of accuracy and presentation of results, especially where a simultaneous analysis of the development of air showers in terms of several physical variables is required. This is so for instance when the time of arrival is one of the variables. Moyal (1956) played an important part in the analytical formulation of a stochastic theory of cosmic ray showers, with time as an explicit variable, and it is essentially this approach which will be adopted in the following. The actual distribution of arrival times is cosmic ray showers, for which results are obtained, is of current experimental interest (McDonald, Clay and Prescott (1977)).

scholarly journals Cosmic-Ray Extremely Distributed Observatory: Status and Perspectives

Universe ◽  
2018 ◽  
Vol 4 (11) ◽  
pp. 111 ◽  
Author(s):  
Dariusz Góra
Keyword(s):  
Time Window ◽  
Cosmic Ray ◽  
Small Time ◽  
Global Studies ◽  
Active Engagement ◽  
Air Showers ◽  
Fundamental Physics ◽  
Terra Incognita ◽  
The Status ◽  
Worldwide Network

The Cosmic-Ray Extremely Distributed Observatory (CREDO) is a project dedicated to global studies of extremely extended cosmic-ray phenomena, the cosmic-ray ensembles (CRE), beyond the capabilities of existing detectors and observatories. Up to date, cosmic-ray research has been focused on detecting single air showers, while the search for ensembles of cosmic-rays, which may overspread a significant fraction of the Earth, is a scientific terra incognita. Instead of developing and commissioning a completely new global detector infrastructure, CREDO proposes approaching the global cosmic-ray analysis objectives with all types of available detectors, from professional to pocket size, merged into a worldwide network. With such a network it is possible to search for evidences of correlated cosmic-ray ensembles. One of the observables that can be investigated in CREDO is a number of spatially isolated events collected in a small time window which could shed light on fundamental physics issues. The CREDO mission and strategy requires active engagement of a large number of participants, also non-experts, who will contribute to the project by using common electronic devices (e.g., smartphones). In this note, the status and perspectives of the project are presented.

Sign in / Sign up

Export Citation Format

Share Document