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GALEX–SDSS–WISE LEGACY CATALOG (GSWLC): STAR FORMATION RATES, STELLAR MASSES, AND DUST ATTENUATIONS OF 700,000 LOW-REDSHIFT GALAXIES

dc.contributor.authorSalim, Samir
dc.contributor.authorLee, Janice C
dc.contributor.authorJanowiecki, Steven
dc.contributor.authorda Cunha, Elisabete
dc.contributor.authorDickinson, Mark
dc.contributor.authorBoquien, Médéric
dc.contributor.authorBurgarella, Denis
dc.contributor.authorSalzer, John J.
dc.contributor.authorCharlot, Stéphane
dc.date.accessioned2018-11-29T22:54:05Z
dc.date.available2018-11-29T22:54:05Z
dc.date.issued2016
dc.date.updated2018-11-29T07:57:28Z
dc.description.abstractIn this paper, we present the GALEX–SDSS–WISE Legacy Catalog (GSWLC), a catalog of physical properties (stellar masses, dust attenuations, and star formation rates [SFRs]) for ~700,000 galaxies with Sloan Digital Sky Survey (SDSS) redshifts below 0.3. GSWLC contains galaxies within the Galaxy Evolution Explorer footprint, regardless of a UV detection, covering 90% of SDSS. The physical properties were obtained from UV/optical spectral energy distribution (SED) fitting following Bayesian methodology of Salim et al., with improvements such as blending corrections for low-resolution UV photometry, flexible dust attenuation laws, and emission-line corrections. GSWLC also includes mid-IR SFRs derived from IR templates based on 22 $\mu {\rm{m}}$ Wide-field Infrared Survey Explorer observations. These estimates are independent of UV/optical SED fitting, in order to separate possible systematics. The paper argues that the comparison of specific SFRs (sSFRs) is more informative and physically motivated than the comparison of SFRs. The sSFRs resulting from the UV/optical SED fitting are compared to the mid-IR sSFRs and to sSFRs from three published catalogs. For "main-sequence" galaxies with no active galactic nucleus (AGN) all sSFRs are in very good agreement (within 0.1 dex on average). In particular, the widely used aperture-corrected SFRs from the MPA/JHU catalog show no systematic offsets, in contrast to some integral field spectroscopy results. For galaxies below the main sequence (log sSFR $\lt -11$), mid-IR (s)SFRs based on fixed luminosity–SFR conversion are severely biased (up to 2 dex) because the dust is primarily heated by old stars. Furthermore, mid-IR (s)SFRs are overestimated by up to 0.6 dex for galaxies with AGNs, presumably due to nonstellar dust heating. UV/optical (s)SFRs are thus preferred to IR-based (s)SFRs for quenched galaxies and those that host AGNs
dc.format.mimetypeapplication/pdfen_AU
dc.identifier.issn0067-0049
dc.identifier.urihttp://hdl.handle.net/1885/152665
dc.publisherInstitute of Physics Publishing
dc.sourceAstrophysical Journal Supplement Series
dc.titleGALEX–SDSS–WISE LEGACY CATALOG (GSWLC): STAR FORMATION RATES, STELLAR MASSES, AND DUST ATTENUATIONS OF 700,000 LOW-REDSHIFT GALAXIES
dc.typeJournal article
dcterms.accessRightsOpen Accessen_AU
local.bibliographicCitation.issue1
local.contributor.affiliationSalim, Samir, Indiana University
local.contributor.affiliationLee, Janice C, Space Telescope Science Institute
local.contributor.affiliationJanowiecki, Steven, The University of Western Australia
local.contributor.affiliationda Cunha, Elisabete, College of Science, ANU
local.contributor.affiliationDickinson, Mark, National Optical Astronomy Observatory
local.contributor.affiliationBoquien, Médéric, Universidad de Antofagasta, Unidad de Astronomía
local.contributor.affiliationBurgarella, Denis, Aix-Marseille Universite
local.contributor.affiliationSalzer, John J., Indiana University
local.contributor.affiliationCharlot, Stéphane, Institut d’Astrophysique de Paris
local.contributor.authoruidda Cunha, Elisabete, u6091514
local.description.notesImported from ARIES
local.identifier.absfor020110 - Stellar Astronomy and Planetary Systems
local.identifier.ariespublicationu5957081xPUB17
local.identifier.citationvolume227
local.identifier.doi10.3847/0067-0049/227/1/2
local.identifier.scopusID2-s2.0-85000645625
local.identifier.thomsonID000388205600001
local.type.statusPublished Version

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