Improving machine learning-derived photometric redshifts and physical property estimates using unlabelled observations

A. Humphrey, P. A. C. Cunha, A. Paulino-Afonso +5

In the era of huge astronomical surveys, machine learning offers promising solutions for the efficient estimation of galaxy properties. The traditional, `supervised' paradigm for t…