Classification and Recovery of Radio Signals from Cosmic Ray Induced Air Showers with Deep Learning

Understand

Radio emission from air showers enables measurements of cosmic particle kinematics and identity.

• The radio signals are detected in broadband Megahertz antennas among continuous background noise.
• We present two deep learning concepts and their performance when applied to simulated data.
• The first network classifies time traces as signal or background.