Identification and denoising of radio signals from cosmic-ray air showers using convolutional neural networks
Rasha Abbasi, M. Ackermann, J. Adams, Sanjib Kumar Agarwalla et autres
Radio pulses generated by cosmic-ray air showers can be used to reconstruct key properties like the energy and depth of the electromagnetic component of cosmic-ray air showers. Radio detection threshold, influenced by natural and anthropogenic radio background, can be reduced through various …
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