We cross-match between the WISE All-Sky and PS1 3{pi} DR2 source catalogues. The resulting catalogue has 354590570 objects, significantly fewer than the parent PS1 catalogue, but its combination of optical and infrared colours facilitate both better source classification and photometric redshift estimation. We perform a neural network-based classification of the objects into galaxies, quasars, and stars, then run neural network-based photometric redshift estimation for the galaxies. The star sample purity and quasar sample completeness measures improve substantially, and the resulting photo-z's are significantly more accurate in terms of statistical scatter and bias than those calculated from PS1 properties alone. The catalogue will be a basis for future large-scale structure studies, and will be made available as a high-level science product via the Mikulski Archive for Space Telescopes.

Cone search capability for table J/MNRAS/515/4711/wiseps1 (Neural network source class and photometric z catalog from WISE All-Sky and PS1 3{pi} DR2)