6–10 Jul 2026
University of the Western Cape
Africa/Johannesburg timezone
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Algorithm for detecting Radio Frequency Interference (RFI) in MeerKLASS Intensity mapping Data

8 Jul 2026, 16:20
1h 20m
Great Hall ( University of the Western Cape)

Great Hall

University of the Western Cape

Poster Presentation Track D - Astrophysics & Space Science Poster Session 2

Speaker

Tamera Kassie (SARAO, UWC)

Description

MeerKLASS is a single dish HI intensity mapping survey of the MeerKAT Telescope. Probing the 21 cm signal is coupled with challenges from foregrounds and radio frequency interferences (RFI) which contaminates the data, and in turn our cosmological signal. The MeerKLASS collaboration has produced a detection of the HI cosmological signal using cross-correlations with galaxy surveys. However, low-lying RFI still remains. By removing these low lying RFI we expect to have reduced data loss due to aggressive flagging of RFI contaminants across channels to increase our S/N for an improved detection of the 21 cm signal. Low lying RFI lies below the noise measurement of single dish instruments and would require an algorithm that is able to boost the sensitivity and contrast the underlying RFI for flagging. In this presentation I will highlight the SSINS (Sky-Subtracted Incoherent Noise Spectrum) Algorithm (Wilensky et al, 2019 PASP 131 114507) that I have adapted to be applied to the MeerKLASS data to remove faint RFI signatures.

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Author

Tamera Kassie (SARAO, UWC)

Presentation materials

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