| |
 |
| Paper: |
RFInder: Radio Frequency Interference Data Evaluation and Reduction |
| Volume: |
541, ADASS XXXIII |
| Page: |
469 |
| Authors: |
Athanaseus J. Ramaila; Filippo M. Maccagni |
| DOI: |
10.26624/OHEN4918 |
| Abstract: |
Radio Frequency Interference (RFI) is a significant problem for radio
astronomy observations, becoming increasingly difficult to mitigate as the number of
radio transmitters increases. RFInder is a Python library that identifies and visualises
RFI in the data. Its products include interactive HTML reports and GIF files that visualize the presence of RFI, the percentage of flagged visibilities due to RFI, and the
estimated visibility noise. The impact of RFI on an interferometer varies depending on
the lengths of its baselines and the observation frequency. RFInder shows the amount
of flagged RFI depending on the frequency and baseline length, as well as the predicted
noise given the flags. It is a valuable tool for radio astronomers when used for data
quality monitoring in large radio surveys by the MeerKAT since it can identify trends
in RFI levels, such as whether RFI is increasing or decreasing and emerging RFI over
time. This is crucial because RFI can contaminate radio astronomical signals, reducing
the quality of the scientific outcomes. |
|
|
|
|
|
