SuperBoRG: Search for The Brightest of Reionizing Galaxies and Quasars in HST Parallel Imaging Data
T. Morishita

TL;DR
SuperBoRG compiles the largest optical-NIR HST dataset from various parallel programs, enabling the identification of high-redshift galaxies and quasars, and providing new candidate sources at z>7.
Contribution
This study introduces the SuperBoRG dataset, a comprehensive, uniformly reduced collection of HST parallel imaging data for extragalactic science, including new high-z galaxy candidates.
Findings
Largest collection of optical-NIR HST extragalactic imaging data.
Identification of three new z>7 galaxy candidates.
One candidate at z~10.4 with high stellar mass.
Abstract
The Hubble Space Telescope (HST) has been providing tremendous survey efficiency via its pure-parallel mode, by observing another field in parallel with the primary instrument in operation for the primary observation. In this study, we present a new archival project, SuperBoRG, which aims at compiling data taken in extragalactic parallel programs of HST with WFC3 in the past decade; including pure-parallel (BoRG, HIPPIES, and COS-GTO) and coordinated-parallel (CLASH and RELICS) programs. The total effective area reaches deg from 4.1Msec, or 47days, of observing time, which is the largest collection of optical-NIR imaging data of HST for extragalactic science. We reduce all data in a consistent manner with an updated version of our data reduction pipeline. When available, infrared imaging data from the Spitzer Space Telescope are included in photometric analyses. The…
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