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Reconstruction of Radio Signals from Air-Showers with Autoencoder

Bezyazeekov, Pavel; Budnev, Nikolay; Fedorov, Oleg; Gress, Oleg; Grishin, Oleg; Haungs, Andreas; Huege, Tim; Kazarina, Yulia; Kleifges, Matthias; Kostunin, Dmitriy; Korosteleva,Elena; Kuzmichev, Leonid; Lenok, Vladimir; Lubsandorzhiev,Nima; Malakhov, Stanislav; Marshalkina, Tatyana; Monkhoev,Roman; Osipova, Eleonora; Pakhorukov, Alexandr; Pankov, Leonid; ... mehr

Abstract (englisch):
The Tunka Radio Extension (Tunka-Rex) is a digital antennaarray (63 antennas distributed over≈1 km2) co-located with the TAIGAobservatory in Eastern Siberia. Tunka-Rex measures radio emission ofair-showers induced by ultra-high energy cosmic rays in the frequencyband of 30-80 MHz. Air-shower signal is a short (tens of nanoseconds)broadband pulse. Using time positions and amplitudes of these pulses,we reconstruct parameters of air showers and primary cosmic rays. Theamplitudes of low-energy event (E<1017eV) cannot be used for suc-cesful reconstruction due to the domination of background. To lower theenergy threshold of the detection and increase the efficiency, we use au-toencoder neural network which removes noise from the measured data.This work describes our approach to denoising raw data and furtherreconstruction of air-shower parameters. We also present results of thelow-energy events reconstruction with autoencoder.

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Verlagsausgabe §
DOI: 10.5445/IR/1000124138
Veröffentlicht am 01.10.2020
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Kernphysik (IKP)
Institut für Prozessdatenverarbeitung und Elektronik (IPE)
Publikationstyp Proceedingsbeitrag
Publikationsdatum 21.09.2020
Sprache Englisch
Identifikator ISSN: 1613-0073
KITopen-ID: 1000124138
HGF-Programm 51.03.04 (POF III, LK 01)
Kosmische Strahlung Technologien
Erschienen in DLC 2020: Data Life Cycle in Physics: Proceedings of the 4th International Workshop on Data Life Cycle in Physics, Moscow, Russia, June 8-10, 2020 Edited by Alexander Kryukov* Andreas Haungs**
Veranstaltung 4th International Workshop on Data Life Cycle in Physics (DLC 2020), online, 08.06.2020 – 10.06.2020
Verlag RWTH, Aachen
Serie CEUR Workshop Proceedings ; Vol. 2679
Bemerkung zur Veröffentlichung http://ceur-ws.org/Vol-2679/

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