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Practical galaxy morphology tools from deep supervised representation learning
(Oxford University Press, 2022)
Astronomers have typically set out to solve supervised machine learning problems by creating their own representations
from scratch. We show that deep learning models trained to answer every Galaxy Zoo DECaLS question ...
A unique, ring-like radio source with quadrilateral structure detected with machine learning
(Oxford University Press, 2023)
We report the discovery of a unique object in the MeerKAT Galaxy Cluster Le gacy Survey (MGCLS) using the machine learning anomaly detection framework ASTRONOMALY. This strange, ring-like source is 30 from the MGCLS field ...