$\chi^2$ from Redundant Calibration as a Tool in the Detection of Faint Radio-frequency Interference
Theodora Kunicki, Jonathan C. Pober

TL;DR
This paper introduces a novel $ ext{chi}^2$-based method from redundant calibration for detecting faint radio-frequency interference, complementing existing algorithms and revealing previously undetected RFI in 21 cm Epoch of Reionization research.
Contribution
The paper presents a new $ ext{chi}^2$ metric-based RFI detection algorithm that identifies faint RFI undetected by current methods, enhancing RFI flagging capabilities.
Findings
$ ext{chi}^2$ detects 18 ext{.0 ext{ extbackslash}%}$ of observations with RFI.
$ ext{chi}^2$ alone detects 10.2 ext{ extbackslash}% of total observations.
$ ext{chi}^2$ identifies RFI undetected by SSINS and AOFlagger.
Abstract
Radio-frequency interference detection and flagging is one of the most difficult and urgent problems in 21 cm Epoch of Reionization research. In this work, we present from redundant calibration as a novel method for RFI detection and flagging, demonstrating it to be complementary to current state-of-the-art flagging algorithms. Beginning with a brief overview of redundant calibration and the meaning of the metric, we demonstrate a two-step RFI flagging algorithm which uses the values of this metric to detect faint RFI. We find that roughly 27.4\% of observations have RFI from digital television channel 7 detected by at least one algorithm of the three tested: 18.0\% of observations are flagged by the novel algorithm, 16.5\% are flagged by SSINS, and 6.8\% are flagged by AOFlagger (there is significant overlap in these percentages). Of the 27.4\% of…
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Taxonomy
TopicsRadio Astronomy Observations and Technology · Wireless Communication Networks Research · Speech and Audio Processing
