The Stripe 82 Massive Galaxy Project I: Catalog Construction

TL;DR

The Stripe 82 Massive Galaxy Catalog is the largest-volume, stellar mass-limited galaxy sample beyond z~1, combining multi-band photometry and spectroscopy to enable advanced galaxy evolution studies.

Contribution

This work presents the construction and verification of the largest stellar mass-limited galaxy catalog beyond z~1, integrating multi-band photometry and spectroscopic data.

Findings

Catalog includes 41,770 galaxies with log Mstar > 11.2 up to z~0.7

Provides 9-band matched aperture photometry and stellar mass estimates

Addresses statistical limitations in high-mass galaxy evolution studies

Abstract

The Stripe 82 Massive Galaxy Catalog (S82-MGC) is the largest-volume stellar mass-limited sample of galaxies beyond z~1 constructed to date. Spanning 139.4 deg2, the S82-MGC includes a mass-limited sample of 41,770 galaxies with log Mstar > 11.2 to z~0.7, sampling a volume of 0.3 Gpc3, roughly equivalent to the volume of the Sloan Digital Sky Survey-I/II (SDSS-I/II) z < 0.15 MAIN sample. The catalog is built on three pillars of survey data: the SDSS Stripe 82 Coadd photometry which reaches r-band magnitudes of 23.5 AB, YJHK photometry at depths of 20th magnitude (AB) from the UK Infrared Deep Sky Survey (UKIDSS) Large Area Survey, and over 70,000 spectroscopic galaxy redshifts from SDSS-I/II and the Baryon Oscillation Spectroscopic Survey (BOSS). We describe the catalog construction and verification, the production of 9-band matched aperture photometry, tests of existing and newly estimated photometric redshifts required to supplement spectroscopic redshifts for 55% of the log Mstar > 11.2 sample, and geometric masking. We provide near-IR based stellar mass estimates and compare these to previous estimates. All catalog products are made publicly available. The S82-MGC not only addresses previous statistical limitations in high-mass galaxy evolution studies but begins tackling inherent data challenges in the coming era of wide-field imaging surveys.