Speaker
Michelle Lochner
(University of the Western Cape/ South African Radio Astronomy Observatory)
Description
The next generation of telescopes such as the SKA and the Vera C. Rubin Observatory will produce enormous data sets, far too large for traditional analysis techniques. Machine learning has proven invaluable in handling massive data volumes and automating many tasks traditionally done by human scientists. In this talk, I will explore the use of machine learning for automating the discovery and follow-up of interesting astronomical phenomena, both in the image and time domains. I will share an exciting recent MeerKAT discovery made with machine learning and discuss how the human-machine interface will play a critical role in maximising scientific discovery with automated tools.
| Stream | Science |
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Primary author
Michelle Lochner
(University of the Western Cape/ South African Radio Astronomy Observatory)