Post-correlation radio frequency interference classification methods

Understand

We describe and compare several post-correlation radio frequency interference classification methods.

• As data sizes of observations grow with new and improved telescopes, the need for completely automated, robust methods for radio frequency interference mitigation is pressing.
• We investigated several classification methods and find that, for the data sets we used, the most accurate among them is the SumThreshold method.
• This is a new method formed from a combination of existing techniques, including a new way of thresholding.