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Development of Self-Trigger Algorithms for Radio Detection of Air-Showers

Fedorov, Oleg; Bezyazeekov, Pavel; Malakhov, Stanislav; Kazarina, Yulia; Kostunin, Dmitriy; Lenok, Vladimir 1
1 Institut für Kernphysik (IKP), Karlsruher Institut für Technologie (KIT)

Abstract (englisch):

The detection of extensive air-showers with radio method isa relatively young. But promising branch in experimental astrophysics ofultrahigh energies. This method allows one to carry out observations re-gardless of weather conditions and time of day, and the precision of recon-struction of the properties of primary particles is comparable to the clas-sical methods. The main disadvantage of this method is the complexityof the trigger implementation. Radio signals from extensive air-showershave a duration of few tens nanoseconds and amplitudes comparable tothe surrounding background. Moreover, industrial noise, tele- and radiobroadcasting signals, as well as noise from the electronic equipment ofthe experiment, often interfere with measurements. Most of the setupsfor detecting radio emission from extensive air-showers use an externaltrigger from optical or particle detectors. Despite numerous attemptsto develop autonomous (operating with an internal trigger) cosmic rayradio detectors, there is still no established cost-effective technology forthe sparse radio arrays. In the present work, we give an overview of ourprogress in this direction, particularly, we describe a noise generator andsimulation study using data from the Tunka-Rex Virtual Observatory.

Verlagsausgabe §
DOI: 10.5445/IR/1000124145
Veröffentlicht am 01.10.2020
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Kernphysik (IKP)
Publikationstyp Proceedingsbeitrag
Publikationsdatum 21.09.2020
Sprache Englisch
Identifikator ISSN: 1613-0073
KITopen-ID: 1000124145
HGF-Programm 51.03.04 (POF III, LK 01) Kosmische Strahlung Technologien
Erschienen in DLC 2020: Proceedings of the 4th International Workshop on Data Life Cycle in Physics. Ed.: A. Kryukov
Veranstaltung 4th International Workshop on Data Life Cycle in Physics (DLC 2020), Online, 08.06.2020 – 10.06.2020
Verlag RWTH Aachen
Seiten 71-76
Serie CEUR Workshop Proceedings ; Vol. 2679
Bemerkung zur Veröffentlichung Die Veranstaltung fand wegen der Corona-Pandemie als Online-Event statt.
Nachgewiesen in Scopus
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