Seminar – Mr Isaac Sihlangu (SARAO)

October 17, 2019 @ 1:00 pm – 2:00 pm

Postgraduate Seminar Series Talk

Mr Sihlangu is a PhD student based in the Data Science group at SARAO in Cape Town.

Title: Do we need to invoke AI/ML in order to add value to the quality of science that can be extracted from the current generation of telescopes?

The quality of scientific insight which can be extracted from a given telescope is limited by the capability of the employed data reduction pipeline, of which dealing with Radio Frequency Interference is one of the important step in the reduction process.

Currently, there is no way to keep track of RFI changes as measured from the MeerKAT telescope or to quantify the RFI environment statistically around the MeerKAT site using the telescope data. This have prompted the need for a new data product for the MeerKAT telescope that would summarise the statistics of the RFI environment for the site. To provide the RFI statistics as measured from historical MeerKAT observations, we have designed and implemented a framework that allows the historical RFI statistics from MeerKAT to be easily accessible by various users.

In this talk, I will present the results of this framework that quantifies the radio environment for the MeerKAT site.