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12th of March 2021
International Women's Day: Ivy Wong
Ivy Wong re-joined CASS last year, as a CSIRO Science Leader working on the big data challenges in the SKA era. Her most recent co-authored publication was led by her co-supervised PhD student, Matthew Alger (ANU), who developed an interpretable machine learning-based classifier of Faraday complexity. The image above shows 142 Faraday spectra (also known as Faraday dispersion functions) from ATCA observations (Livingston et al. 2021) that have been ordered in order of Faraday complexity from very simple (top) to complex (bottom). The numbers are logistic regression probabilities that the Faraday spectrum is complex. This is the first application of machine learning to observed Faraday spectra, as previous studies were based on simulated spectra (e.g., Brown et al. 2019). Check out Alger et al. 2021 for more details.

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