Speaker
Pavel Bezyazeekov
(API ISU)
Description
The common approach for implementation of self-triggered radio detection is applying amplitude threshold at station and cluster levels.
The main difficulty of this approach at most facilities is a high level of background and radio frequency interference.
For the efficient implementation of self-trigger it is needed to filter noise pulses from input data.
In the present work we present the method of finding, classification and filtering of noise by data from Tunka-Rex Virtual Observatory, measured by the Tunka-Rex experiment in 2012-2018, and discuss the further application of this method for implementation of independent detection of air-showers with radio.
Primary author
Pavel Bezyazeekov
(API ISU)
