Speaker
Description
The next generation of radio telescopes such as the SKA will probe to sensitivity levels never achieved before. However, as we probe deeper we are susceptible to more Radio Frequency Interference (RFI), such as from satellites. RFI is an ever increasing problem for radio telescopes even without increasing our sensitivity. Fortunately, many sources of RFI have reasonably predictable trajectories. We present TrAjectory BAsed RFI Subtraction and CALibration (tabascal), a new method that exploits this feature of many RFI sources to model and constrain the contamination in radio interferometric data. We find that with only a weak prior of the RFI trajectories and mild assumptions on the astronomical signal, we are able to recover the signal of interest to the same level as uncontaminated data.
