Seven years of Tunka-Rex operation

Kostunin, D.; Bezyazeekov, P. A.; Буднев, Н. М.; Fedorov, Oleg; Gress, O.; Гришин, О.; Haungs, A.; Huege, T.; Kazarina, Y.; Kleifges, M.; Коростелева, Е. Е.; Kuzmichev, L. A.; Lenok, Vladimir; Лубсандоржиев, Н.; Malakhov, S.; Marshalkina, T.; Монхоев, Р.; Osipova, E.; Пахоруков, А.; Pankov, L.; Prosin, V.; Schröder, Frank G.; Шипилов, Д.; Загородников, А.

doi:10.22323/1.358.0319

Cited by 5 publications

(4 citation statements)

References 31 publications

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“…The Tunka-Rex data is being published in the frame of Tunka-Rex Virtual Observatory (TRVO) [24], and we have received access to the pilot version of the client to the TRVO database. The full database in its final stage will contain all Tunka-Rex traces recorded during seven years of operation [25] and will have a size of order of TiB. Such large amount of data is an ideal testbed for the benchmarking of data analysis methods for Tunka-21cm.…”

Section: Published Tunka-rex Datamentioning

confidence: 99%

Quest for detection of a cosmological signal from neutral hydrogen with a digital radio array developed for air-shower measurements

Kostunin¹,

Bezyazeekov²,

Budnev³

et al. 2019

Preprint

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Digital radio arrays are widely used for the low-frequency radio astronomy as well as for detection of air-showers induced by high-energy cosmic rays and neutrinos. Since the radio emission from air-showers forms short broadband pulses with duration of tens nanoseconds, the data acquisition strategies of cosmic-ray and astronomical arrays have significant differences. To perform precise measurement of cosmic rays, the radio array should have absolute amplitude calibration and record the entire electric field on the antenna in the broad frequency range. These requirements are similar to ones defined for the experiments aimed at the detection of weak signal from neutral hydrogen at redshifts of z>10, what led us to the application of our experience with Tunka-Rex to this problem. We are developing new experimental setup comprising of four antenna stations, placed on the area of 100 sq.m. Each antenna station consists of two perpendicular loop antennas measuring electric field in the frequency band of 30-80 MHz. The setup records electric fields from all antennas in portions of 50 µs reaching the spectral resolution of 20 kHz. We expect a flow of redundant data of about 10 GB/day, and plan to exploit this redundancy in order to decrease systematic uncertainty of the measurements by application of digital beam-forming, matched filtering and RFI suppression with neural networks. In the present contribution we describe the design and calibration of the setup, expected performance and data analysis techniques.

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Section: Published Tunka-rex Datamentioning

confidence: 99%

Quest for detection of a cosmological signal from neutral hydrogen with a digital radio array developed for air-shower measurements

Kostunin¹,

Bezyazeekov²,

Budnev³

et al. 2019

Preprint

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“…Past approaches have either used a preliminary version of the approach presented here [4,5], or estimated the efficiency for each detected event separately by generating several computationally expensive Monte Carlo simulations per event [6][7][8]. The preparation JCAP06(2023)014 of simulations required for detailed studies of the spatial and angular dependence of the detection efficiency would demand an extremely large amount of computation time.…”

Section: Introductionmentioning

confidence: 99%

A probabilistic model for the efficiency of cosmic-ray radio arrays

Lenok¹,

Schröder²

2023

J. Cosmol. Astropart. Phys.

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Digital radio detection of cosmic-ray air showers has emerged as an alternative technique in high-energy astroparticle physics. Estimation of the detection efficiency of cosmic-ray radio arrays is one of the few remaining challenges regarding this technique. To address this problem, we developed a new approach to model the efficiency based on the explicit probabilistic treatment of key elements of the radio technique for air showers: the footprint of the radio signal on ground, the detection of the signal in an individual antenna, and the detection criterion on the level of the entire array. The model allows for estimation of sky regions of full efficiency and can be used to compute the aperture of the array, which is essential to measure the absolute flux of cosmic rays. We also present a semi-analytical method that we apply to the generic model, to calculate the efficiency and aperture with high accuracy and reasonable calculation time. The model in this paper is applied to the Tunka-Rex array as example instrument and validated against Monte Carlo simulations. The validation shows that the model performs well, in particular, in the prediction of regions with full efficiency. It can thus be applied to other antenna arrays to facilitate the measurement of absolute cosmic-ray fluxes and to minimize a selection bias in cosmic-ray studies.

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“…The engineering arrays, e.g. Tunka-Rex, has shown the ability of energy spectrum [2] and mass composition reconstruction [3] as well as was used for the independent cross-check of energy scale of Tunka-133 and KASCADE-Grande [4]. After decommission of Tunka-Rex in 2019 we focus on the open data [5] and development of techniques for the future arrays, e.g.…”

Section: Introductionmentioning

confidence: 99%

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

Bezyazeekov¹,

Шипилов²,

Kostunin³

et al. 2021

Proceedings of 37th International Cosmic Ray Conference — PoS(ICRC2021)

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Radio detection of air showers produced by ultra-high energy cosmic rays is a cost-effective technique for the next generation of sparse arrays. The performance of this technique strongly depends on the environmental background, which has different constituents, namely anthropogenic radio frequency interference, synchrotron galactic radiation and others. These components have recognizable features, which can help for background suppression. A powerful method for handling this is the application of convolution neural networks with a specific architecture called autoencoder. By suppressing unwanted signatures, the autoencoder keeps the signal-like ones. We have successfully developed and trained an autoencoder, which is now applied to the data from Tunka-Rex. We show the procedures of the training and optimization of the network including benchmarks of different architectures. Using the autoencoder, we improved the standard analysis of Tunka-Rex in order to lower the threshold of the detection. This enables the reconstructing of sub-threshold events with energies lower than 0.1 EeV with satisfactory angular and energy resolutions.

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Seven years of Tunka-Rex operation

Cited by 5 publications

References 31 publications

Quest for detection of a cosmological signal from neutral hydrogen with a digital radio array developed for air-shower measurements

Quest for detection of a cosmological signal from neutral hydrogen with a digital radio array developed for air-shower measurements

A probabilistic model for the efficiency of cosmic-ray radio arrays

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

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