Machine-learning identification of galaxies in the WISExSuperCOSMOS all-sky catalogue

Understand

The two currently largest all-sky photometric datasets, WISE and SuperCOSMOS, were cross-matched by Bilicki et al.

• (2016) (B16) to construct a novel photometric redshift catalogue on 70% of the sky.
• Galaxies were therein separated from stars and quasars through colour cuts, which may leave imperfections because of mixing different source types which overlap in colour space.
• The aim of the present work is to identify galaxies in the WISExSuperCOSMOS catalogue through an alternative approach of machine learning.