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Quantitative characterization of galaxy morphology is vital in enablingcomparison of observations to predictions from galaxy formation theory.However, without significant overlap between the observational footprints ofdeep and shallow galaxy surveys, the extent to which structural measurementsfor large galaxy samples are robust to image quality (e.g., depth, spatialresolution) cannot be established. Deep images from the Sloan Digital SkySurvey (SDSS) Stripe 82 co-adds provide a unique solution to this problem -offering $1.6-1.8$ magnitudes improvement in depth with respect to SDSS Legacyimages. Having similar spatial resolution to Legacy, the co-adds make itpossible to examine the sensitivity of parametric morphologies to depth alone.Using the Gim2D surface-brightness decomposition software, we provide publicmorphology catalogs for 16,908 galaxies in the Stripe 82 $ugriz$ co-adds. Ourmethods and selection are completely consistent with the Simard et al. (2011)and Mendel et al. (2014) photometric decompositions. We rigorously comparemeasurements in the deep and shallow images. We find no systematics in totalmagnitudes and sizes except for faint galaxies in the $u$-band and thebrightest galaxies in each band. However, characterization of bulge-to-totalfractions is significantly improved in the deep images. Furthermore, statisticsused to determine whether single-S\'ersic or two-component (e.g., bulge+disc)models are required become more bimodal in the deep images. Lastly, we showthat asymmetries are enhanced in the deep images and that the enhancement ispositively correlated with the asymmetries measured in Legacy images.

monthly notices of the royal astronomical society

Bulge plus disc and S\'ersic decomposition catalogues for 16,908  galaxies in the SDSS Stripe 82 co-adds: A detailed study of the $ugriz$  structural measurements