64 research outputs found
Radio detection in the multi-messenger context
No full textThe present work discusses the development of the radio technique for detection of ultra-high energy air-showers induced by cosmic radiation, and the prospects of its application in the future multi-messenger activities, particularly for detection of ultra-high energy cosmic rays, gamma rays and neutrinos. It gives an overview of the results achieved by the modern digital radio arrays, as well as discuss present challenges and future prospects
The Radio Extension of the Tunka Advanced Instrument for cosmic ray physics and Gamma Astronomy
No full textIn the present talk I discuss the modern technique of ultra-high energy cosmic-ray detection by measuring the radio emission produced during the development of air-showers induced by these particles. One of the successful implementation of this technique is the Tunka-Rex (Tunka Radio Extension) experiment operating since 2012 in the frame of the Tunka Advanced Instrument for cosmic ray physics and Gamma Astronomy (TAIGA) located in Siberia nearby Lake Baikal. I discuss the radio detection of air-showers, the methods for reconstruction of primary energy and mass composition, the main results of Tunka-Rex as well as benefits of multi-component detection of cosmic-rays in the frame of TAIGA
Cosmic rays measurements with Tunka Radio Extension
No full textTunka Radio Extension (Tunka-Rex) is an array of 63 radio antennas deployed at the Tunka Advanced Instrument for cosmic rays and Gamma Astronomy (TAIGA). This antenna array detects radio pulses produced by deflection of charged component of air-shower in Earth\u27s magnetic field during its development. Tunka-Rex measures cosmic rays of energies above
100 PeV starting from 2012. The hardware description, methods and latest results are given in this presentation
Open questions in deep learning techniques for the radio detection
No full textNowadays the deep learning techniques are broadly applied for the processing of radio signals generated in air-showers. The majority of the implementations are based on the convolutional neural networks (CNN) running of 1D arrays containing finite waveforms with radio impulses. This approach has shown its feasibility and is able to be implemented for the both trigger- and high- levels of data collection and analysis. However there is a room for the improvement and some open questions. During my talk we reviewed the current progress in the field, pointed the important issues and their possible solutions, and shared and discussed ideas of the optimal application of this technique
Combining heterogeneous air-shower data in the frame of Russian-German Astroparticle Data Life Cycle Initiative
No full text
Reconstruction of air-shower parameters with a sparse radio array
No full textThe present study consists of two main parts: a theoretical description of the methods of air-shower reconstruction using the radio technique, and analysis of Tunka-Rex data using the developed methods
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