Stellar SEDs in SDSS and 2MASS filters

DOI

The Sloan Digital Sky Survey (SDSS) and Two Micron All Sky Survey (2MASS) are rich resources for studying stellar astrophysics and the structure and formation history of the Galaxy. As new surveys and instruments adopt similar filter sets, it is increasingly important to understand the properties of the ugrizJHKs stellar locus, both to inform studies of "normal" main-sequence stars and enable robust searches for point sources with unusual colors. Using a sample of ~600000 point sources detected by SDSS and 2MASS, we tabulate the position and width of the ugrizJHKs stellar locus as a function of g-i color, and provide accurate polynomial fits. We map the Morgan-Keenan spectral type sequence to the median stellar locus by using synthetic photometry of spectral standards and by analyzing 3000 SDSS stellar spectra with a custom spectral typing pipeline, described in the Appendix to this paper. We develop an algorithm to calculate a point source's minimum separation from the stellar locus in a seven-dimensional color space, and use it to robustly identify objects with unusual colors, as well as spurious SDSS/2MASS matches.

Identifier
DOI http://doi.org/10.26093/cds/vizier.51342398
Source https://dc.g-vo.org/rr/q/lp/custom/CDS.VizieR/J/AJ/134/2398
Related Identifier https://cdsarc.cds.unistra.fr/viz-bin/cat/J/AJ/134/2398
Related Identifier http://vizier.cds.unistra.fr/viz-bin/VizieR-2?-source=J/AJ/134/2398
Metadata Access http://dc.g-vo.org/rr/q/pmh/pubreg.xml?verb=GetRecord&metadataPrefix=oai_b2find&identifier=ivo://CDS.VizieR/J/AJ/134/2398
Provenance
Creator Covey K.R.; Ivezic Z.; Schlegel D.; Finkbeiner D.; Padmanabhan N.,Lupton R.H.; Agueros M.A.; Bochanski J.J.; Hawley S.L.; West A.A.; Seth A.,Kimball A.; Gogarten S.M.; Claire M.; Haggard D.; Kaib N.; Schneider D.P.,Sesar B.
Publisher CDS
Publication Year 2010
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; Natural Sciences; Observational Astronomy; Physics