The ATLAS All-Sky Stellar Reference Catalog ConeSearch

All MAST catalog holdings are available via Cone Search endpoints. \nThis service provides access to the ATLAS All-Sky Stellar Reference Catalog.\n\nThe Asteroid Terrestrial-impact Last Alert System (ATLAS) observes most of the sky every night in search of dangerous asteroids. Its data are also used to search for photometric variability, where sensitivity to variability is limited by photometric accuracy. Since each exposure spans 7.6 deg corner to corner, variations in atmospheric transparency in excess of 0.01 mag are common, and 0.01 mag photometry cannot be achieved by using a constant flat field calibration image. We therefore have assembled an all-sky reference catalog of approximately one billion stars to m~19 from a variety of sources to calibrate each exposure's astrometry and photometry. Gaia DR2 is the source of astrometry for this ATLAS Refcat2. The sources of g, r, i, z photometry include Pan-STARRS DR1, the ATLAS Pathfinder photometry project, ATLAS re-flattened APASS data, SkyMapper DR1, APASS DR9, the Tycho-2 catalog, and the Yale Bright Star Catalog. We have attempted to make this catalog at least 99% complete to m less than 19, including the brightest stars in the sky. We believe that the systematic errors are no larger than 5 millimag RMS, although errors are as large as 20 millimag in small patches near the galactic plane. \n\nAll available missions are listed at http://archive.stsci.edu/vo/mast_services.html.

Data and Resources

Additional Info

Field Value
Maintainer MAST Archive
Last Updated September 22, 2026, 17:15 (UTC)
Created April 1, 2025, 13:06 (UTC)
accessLevel public
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harvest_source_id b99e41c6-fe79-4c19-bbc3-9b6c8111bfac
harvest_source_title Science Discovery Engine
identifier ivo://archive.stsci.edu/catalogs/atlas
landingPage ivo://archive.stsci.edu/catalogs/atlas
license https://www.usa.gov/government-works
modified 2026-09-14T22:15:59Z
programCode {026:000}
publisher MAST: Mikulski Archive at Space Telescope
resource-type Dataset
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theme {Astrophysics}