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Seems that very strong RFI is often spatially incoherent. These events can trigger a huge mess of candidates, but are easily rejected by eye. Perhaps an anti-coincidence filter could help remove them sooner.
Idea would be to sum over baselines and take the amplitude to generate an incoherent, wide-field data stream. Then dedisperse and search for transients. Any detections are likely (but not guaranteed to be!) dominated by RFI.
The text was updated successfully, but these errors were encountered:
Seems that very strong RFI is often spatially incoherent. These events can trigger a huge mess of candidates, but are easily rejected by eye. Perhaps an anti-coincidence filter could help remove them sooner.
Idea would be to sum over baselines and take the amplitude to generate an incoherent, wide-field data stream. Then dedisperse and search for transients. Any detections are likely (but not guaranteed to be!) dominated by RFI.
The text was updated successfully, but these errors were encountered: