LAUSR

Optimizing sparse RFI prediction using deep learning

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1 Published in 2019 at "Monthly Notices of the Royal Astronomical Society"

DOI: 10.1093/mnras/stz1865

Abstract: Radio frequency interference (RFI) is an ever-present limiting factor among radio telescopes even in the most remote observing locations. When looking to retain the maximum amount of sensitivity and reduce contamination for Epoch of Reionization… read more here.

Keywords: optimizing sparse; rfi prediction; prediction using; hera ... See more keywords