PS1-STRM: Neural network source classification and photometric redshift catalogue for PS1 $3\pi$ DR1

Understand

The Pan-STARRS1 (PS1) $3\pi$ survey is a comprehensive optical imaging survey of three quarters of the sky in the $grizy$ broad-band photometric filters.

• We present the methodology used in assembling the source classification and photometric redshift (photo-z) catalogue for PS1 $3\pi$ Data Release 1, titled Pan-STARRS1 Source Types and Redshifts with Machine learning (PS1-STRM).
• For both main data products, we use neural network architectures, trained on a compilation of public spectroscopic measurements that has been cross-matched with PS1 sources.
• We quantify the parameter space coverage of our training data set, and flag extrapolation using self-organizing maps.