SILVERRUSH. X. Confirmed LAE galaxies & AGN from HSC

We present a new catalog of 9318 Ly{alpha} emitter (LAE) candidates at z=2.2, 3.3, 4.9, 5.7, 6.6, and 7.0 that are photometrically selected by the Systematic Identification of LAEs for Visible Exploration and Reionization Research Using Subaru HSC (SILVERRUSH) program with a machine learning technique from large area (up to 25.0deg^2^) imaging data with six narrowband filters taken by the Subaru Strategic Program with Hyper Suprime-Cam and a Subaru intensive program, Cosmic HydrOgen Reionization Unveiled with Subaru.

We construct a convolutional neural network that distinguishes between real LAEs and contaminants with a completeness of 94% and a contamination rate of 1%, enabling us to efficiently remove contaminants from the photometrically selected LAE candidates. We confirm that our LAE catalogs include 177 LAEs that have been spectroscopically identified in our SILVERRUSH programs and previous studies, ensuring the validity of our machine learning selection.