8-10 June 2020
Indico / zoom
Europe/Berlin timezone

Reconstruction radio signals from air-showers with autoencoder

9 Jun 2020, 09:45
15m
Indico / zoom

Indico / zoom

https://zoom.us/j/98141351045?pwd=SHlYK1VOSk1WdTBwbmhoamhJZndQUT09 Passwort: DLC-2020 Meeting-ID: 981 4135 1045

Speaker

Pavel Bezyazeekov

Description

One of the main challenges related to the measurements of air-shower radio emission is the high background. Plenty of natural and anthropogenic RFI as well as stationary background distort air-shower pulse. Standard methods based on signal-to-noise ratio lead to increasing the threshold of air-shower detection. For extending the energy range towards lower energies we perform data denoising using autoencoder, which is a deep neural network trained in order to decrease the amplitude of the noise, meanwhile keeping useful signal in the trace. We describe our method, present the results of reconstruction and discuss further steps in this direction.

Primary author

Presentation Materials

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