Galaxy Properties Derived with Spectral Energy Distribution Fitting in the Hawaii-Hubble Deep Field-North

Abstract: We compile multi-wavelength data from ultraviolet to infrared (IR) bands as well as redshift and source-type information for a large sample of 178,341 sources in the Hawaii-Hubble Deep Field-North field. A total of 145,635 sources among the full sample are classified/treated as galaxies and have redshift information available. We derive physical properties for these sources utilizing the spectral energy distribution fitting code CIGALE that is based on Bayesian analysis. Through various consistency and robustness check, we find that our stellar-mass and star-formation rate (SFR) estimates are reliable, which is mainly due to two facts. First, we adopt the most updated and accurate redshifts and point spread function-matched photometry; and second, we make sensible parameter choices with the CIGALE code and take into account influences of mid-IR/far-IR data, star-formation history models, and AGN contribution. We release our catalog of galaxy properties publicly (including, e.g., redshift, stellar mass, SFR, age, metallicity, dust attenuation), which is the largest of its kind in this field and should facilitate future relevant studies on formation and evolution of galaxies.