Speaker
Curtis McLennan
(University of Kansas)
Description
The Radar Echo Telescope for Cosmic Rays (RET-CR) is a pathfinder experiment for a future neutrino telescope, using cosmic rays as an in-situ test beam as a validation of the radar echo technique. The buried radar system monitors for echoes off high-energy cosmic-ray induced in-ice cascades. This work presents progress towards a future sub-threshold analysis of the RET dataset. The RET signal and dataset are well suited to a sub-threshold search, using machine learning tools and singular value decomposition to search for low SNR signals. As a first application, we present an analysis of background data demonstrating some of our analysis techniques.
Primary author
Curtis McLennan
(University of Kansas)
