Absolving the SSINS of Precision Interferometric Radio Data: A New
  Technique for Mitigating Faint Radio Frequency Interference
  We introduce a new pipeline for analyzing and mitigating radio frequency
interference (RFI), which we call Sky-Subtracted Incoherent Noise Spectra
(SSINS). SSINS is designed to identify and remove faint RFI below the single
baseline thermal noise by employing a frequency-matched detection algorithm on
baseline-averaged amplitudes of time-differenced visibilities. We demonstrate
the capabilities of SSINS using the Murchison Widefield Array (MWA) in Western
Australia. We successfully image aircraft flying over the array via digital
television (DTV) reflection detected using SSINS and summarize an RFI occupancy
survey of MWA Epoch of Reionization data. We describe how to use SSINS with new
data using a documented, publicly available implementation with comprehensive
usage tutorials.
