# Absolving the SSINS of Precision Interferometric Radio Data: A New Technique for Mitigating Faint Radio Frequency Interference

## TL;DR

This paper presents SSINS, a new pipeline that effectively detects and mitigates faint radio frequency interference in interferometric radio data, enhancing the analysis of signals like those from the Epoch of Reionization.

## Contribution

Introduction of SSINS, a novel RFI mitigation pipeline that identifies faint interference below thermal noise using frequency-matched detection on baseline-averaged data.

## Key findings

- Successfully imaged aircraft reflections via DTV using SSINS
- Performed an RFI occupancy survey of MWA EoR data
- Demonstrated SSINS effectiveness with publicly available implementation

## Abstract

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.