Morphology of 16908 SDSS Stripe 82 galaxies

Quantitative characterization of galaxy morphology is vital in enabling comparison of observations to predictions from galaxy formation theory. However, without significant overlap between the observational footprints of deep and shallow galaxy surveys, the extent to which structural measurements for large galaxy samples are robust to image quality (e.g. depth and spatial resolution) cannot be established. Deep images from the Sloan Digital Sky Survey (SDSS) Stripe 82 co-adds provide a unique solution to this problem - offering 1.6-1.8mag improvement in depth with respect to SDSS Legacy images. Having similar spatial resolution to Legacy, the co-adds make it possible to examine the sensitivity of parametric morphologies to depth alone. Using the gim2d surface-brightness decomposition software, we provide public morphology catalogues for 16908 galaxies in the Stripe 82 ugriz co-adds. Our methods and selection are completely consistent with the Simard et al. (2011ApJS..196...11S, Cat. J/ApJS/196/11) and Mendel et al. (2014ApJS..210....3M, Cat. J/ApJS/210/3) photometric decompositions. We rigorously compare measurements in the deep and shallow images. We find no systematics in total magnitudes and sizes except for faint galaxies in the u band and the brightest galaxies in each band. However, characterization of bulge-to-total fractions is significantly improved in the deep images. Furthermore, statistics used to determine whether single-Sersic or two-component (e.g. bulge+disc) models are required become more bimodal in the deep images. Lastly, we show that asymmetries are enhanced in the deep images and that the enhancement is positively correlated with the asymmetries measured in Legacy images.

Cone search capability for table J/MNRAS/486/390/s82grfn (Stripe 82 galaxy morphology catalogue for the fn model and a gr-band decomposition)

Cone search capability for table J/MNRAS/486/390/s82grn4 (Stripe 82 galaxy morphology catalogue for the n4 model and a gr-band decomposition)

Cone search capability for table J/MNRAS/486/390/s82grps (Stripe 82 galaxy morphology catalogue for the ps model and a gr-band decomposition)

Cone search capability for table J/MNRAS/486/390/s82irfn (Stripe 82 galaxy morphology catalogue for the fn model and a ir-band decomposition)

Cone search capability for table J/MNRAS/486/390/s82irn4 (Stripe 82 galaxy morphology catalogue for the n4 model and a ir-band decomposition)

Cone search capability for table J/MNRAS/486/390/s82irps (Stripe 82 galaxy morphology catalogue for the ps model and a ir-band decomposition)

Cone search capability for table J/MNRAS/486/390/s82urfn (Stripe 82 galaxy morphology catalogue for the fn model and a ur-band decomposition)

Cone search capability for table J/MNRAS/486/390/s82urn4 (Stripe 82 galaxy morphology catalogue for the n4 model and a ur-band decomposition)

Cone search capability for table J/MNRAS/486/390/s82urps (Stripe 82 galaxy morphology catalogue for the ps model and a ur-band decomposition)

Cone search capability for table J/MNRAS/486/390/s82zrfn (Stripe 82 galaxy morphology catalogue for the fn model and a zr-band decomposition)

Cone search capability for table J/MNRAS/486/390/s82zrn4 (Stripe 82 galaxy morphology catalogue for the n4 model and a zr-band decomposition)

Cone search capability for table J/MNRAS/486/390/s82zrps (Stripe 82 galaxy morphology catalogue for the ps model and a zr-band decomposition)

Identifier
Source https://dc.g-vo.org/rr/q/lp/custom/CDS.VizieR/J/MNRAS/486/390
Related Identifier https://cdsarc.cds.unistra.fr/viz-bin/cat/J/MNRAS/486/390
Related Identifier http://vizier.cds.unistra.fr/viz-bin/VizieR-2?-source=J/MNRAS/486/390
Metadata Access http://dc.g-vo.org/rr/q/pmh/pubreg.xml?verb=GetRecord&metadataPrefix=oai_b2find&identifier=ivo://CDS.VizieR/J/MNRAS/486/390
Provenance
Creator Bottrell C.; Simard L.; Mendel J.T.; Ellison S.L.
Publisher CDS
Publication Year 2022
Rights https://cds.unistra.fr/vizier-org/licences_vizier.html
OpenAccess true
Contact CDS support team <cds-question(at)unistra.fr>
Representation
Resource Type Dataset; AstroObjects
Discipline Astrophysics and Astronomy; Galactic and extragalactic Astronomy; Natural Sciences; Observational Astronomy; Physics