Research group

Astroparticle Physics

Techniques for the Sparse Digital Radio Arrays

Vladimir LenokActive

Sparse Digital Radio Arrays is a relatively young instrument for the detection of ultra-high energy cosmic radiation, which can push the sensitivity beyond ZeV (energy of comic particles billion times higher than one achieved at Large Hadron Collider). One of the successful prototype arrays, Tunka-Rex, achieved the main challenges showing the feasibility for the ultra-large scale array, like radio at Pierre Auger Observatory and Giant Radio Array for Neutrino Detection. We exploit our post-Tunka-Rex experience to develop tools and techniques crucial for the next-generation radio arrays.

Virtual Observatory

After the decommissioning of Tunka-Rex, as last phase of its lifecycle and following the FAIR (Findability — Accessibility — Interoperability — Reuse) principles, the data and software are published under free licenses in the frame of the TRVO (Tunka-Rex Virtual Observatory), which is hosted at KIT under the partnership with the KCDC project. This pilot project is aimed at the development and testing of virtual observatory and plugins, their scalability and applicability to the future arrays.


The treatment of the background is one of the main challenges for the digital radio arrays. In order to reconstruct low-amplitude signals we developed an autoencoder convolutional neural network for denoising the raw radio data. This approach recovers the sub-threshold signals not accessible by the classical methods.

Array calibration

One of the challenging aspects in using radio antennas in air-shower measurements on the ground consists in requirements of accurate understanding of the properties of the antennas itself. The past and current antenna arrays showed the lack of such understanding, which in the end leads to inaccurate estimation of cosmic-ray energy. Our laboratory works on the world-leading calibration techniques for radio antennas for astrophysics that will allow us to estimate the properties of the antennas with accuracies limited only by the radio astronomical measurements. To achieve such results, we develop an entirely new tomography-like calibration procedure based on the radio astronomical measurements of the sky temperature, which can be used as the best calibration source to date.





Reconstruction of sub-threshold events of cosmic-ray radio detectors using an autoencoder

August 2021

P. Bezyazeekov, D. Shipilov, D. Kostunin, I. Plokhikh, A. Mikhaylenko, P. Turishcheva, S. Golovachev, V. Sotnikov and E. Sotnikova

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Tunka-Rex Virtual Observatory

August 2021

V. Lenok, O. Kopylova, D. Wochele, F. Polgart, S. Golovachev, V. Sotnikov, E. Sotnikova, P.A. Bezyazeekov, N. Budnev, O. Fedorov, O. Gress, O. Grishin, A. Haungs, T. Huege, Y. Kazarina, M. Kleifges, E. Korosteleva, D. Kostunin, L. Kuzmichev, N. Lubsandorzhiev, S. Malakhov, T. Marshalkina, R. Monkhoev, E. Osipova, A. Pakhorukov, L. Pankov, V. Prosin, F.G. Schröder, D. Shipilov and A. Zagorodnikov

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Classification and Denoising of Cosmic-Ray Radio Signals using Deep Learning

July 2021

A. Rehman, A. Coleman, F.G. Schröder and D. Kostunin

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