Speaker
Description
In recent years the observation of ultra high energy cosmic ray (UHECR) with coherent radio emission has become increasingly active in astroparticle physics.
The detection of radio emission provides an independent measurement of the cosmic ray energy and mass. A precise reconstruction of these properties requires an accurate unfolding of the recorded signals.
In this talk a two-part approach to unfold signals recorded with the Auger Engineering Radio Array (AERA) is presented. First, we introduce a Deep Learning based algorithm to recover air shower signals recorded simultaneously with ambient noise. Second, an octocopter based calibration campaign to examine antenna characteristics is presented. Furthermore the calibration is verified with air shower signals.
