WISE + Pan-STARRS1 Source Types and Redshifts with Machine Learning (WISE-PS1-STRM)

WISE-PS1-STRM is a neural network source classification and photometric redshift catalog extracted from a cross-match between the WISE All-Sky and PS1 3π DR2 source catalogs. The resulting catalog has 354,590,570 objects, significantly fewer than the parent PS1 catalog, but its combination of optical and infrared colors facilitate both better source classification and photometric redshift estimation. A neural network classified objects into galaxies, quasars, and stars, then another network estimated photometric redshifts 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. See the README file and the primary reference paper for a detailed description of the catalog metadata.

WISE-PS1-STRM是一款基于WISE全天空星表与PS1 3π DR2源星表交叉匹配得到的神经网络源分类与测光红移（photometric redshift）星表。
该星表共收录354,590,570个天体，其数量远少于母本PS1星表，但结合了光学与红外波段的颜色特征，可同时实现更精准的源分类与测光红移估算。
首先通过神经网络将天体划分为星系、类星体与恒星，随后利用另一神经网络完成星系测光红移的估算。
恒星样本纯度与类星体样本完备性均得到显著提升，最终得到的测光红移（photo-z）在统计弥散与偏差方面，均远优于仅基于PS1星表属性计算得到的结果。
如需了解该星表元数据的详细说明，请参阅README文件与相关核心研究论文。