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

Bezyazeekov, P. ; Shipilov, D.; Kostunin, D.; Plokhikh, I.; Mikhaylenko, A.; Turishcheva, P.; Golovachev, S.; Sotnikov, V.; Sotnikova, E.; Bezyazeekov, P. ; Budnev, N.; Fedorov, O.; Gress, O.; Grishin, O.; Haungs, A. ORCID iD icon 1; Huege, T. 1; Kazarina, Y.; Kleifges, M. 2; Korosteleva, E.; ... mehr


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 interferences, 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.

Verlagsausgabe §
DOI: 10.5445/IR/1000154540
Veröffentlicht am 16.01.2023
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Astroteilchenphysik (IAP)
Institut für Prozessdatenverarbeitung und Elektronik (IPE)
Publikationstyp Proceedingsbeitrag
Publikationsdatum 18.03.2022
Sprache Englisch
Identifikator ISSN: 1824-8039
KITopen-ID: 1000154540
Erschienen in Proceedings of 37th International Cosmic Ray Conference — PoS(ICRC2021)
Veranstaltung 37th International Cosmic Ray Conference (ICRC 2021), Online, 12.07.2021 – 23.07.2021
Verlag Scuola Internazionale Superiore di Studi Avanzati (SISSA)
Seiten Art.-Nr.: 223
Serie Pos proceedings of science ; 395
Vorab online veröffentlicht am 09.08.2021
Nachgewiesen in Dimensions
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