contains 526,280,881 sources, and is based on a
re-reduction of the Precision Measuring Machine (PMM) scans
from POSS-I O and E plates (>=-18°) and SRC-J and
ESO-R plates (<=-20°).
USNO-A2.0 was created by Dave Monet (Flagstaff Station, U.S. Naval Observatory.
The major difference between USNO-A2.0 and its previous version
USNO-A1.0 is that A1.0 used the
Guide Star Catalog as its reference frame whereas
A2.0 uses the ICRF as realized by the
USNO ACT catalog (Urban et al. 1997).
The VizieR search engine uses an
on-line compressed version
(3.6Gbytes) which was generated at CDS.
Note: The construction of the
is still in progress: this
version has no proper motions, and the magnitude limits are 18.5 in F (red)
and 19.5 in J (blue). The data are copyrighted, check
the data use Policy.
The USNO-B Catalog presents positions, proper motions,
magnitudes un blue, red and infrared, as well as star/galaxy estimators
for 1,045,175,762 objects derived from 3,648,832,040 separate observations.
The data were taken from scans of 7,435 Schmidt plates
taken from various sky surveys during the last 50 years.
USNO-B1.0 catalog was created by Dave Monet and collaborators
Note that the star/galaxy estimators may be mixed up
in dense regions.
The Naval Observatory Merged Astrometric Dataset (NOMAD) contains
astrometric and photometric data for over 1 billion stars derived from
the Hipparcos (I/239), Tycho-2 (I/259), UCAC2 (I/289), and USNO-B1.0
(I/284) catalogs for astrometry and optical photometry, supplemented
by 2MASS (II/246) near-infrared photometry.
An efficient remote query program findnomad1 is
available in the cdsclient
package, for Unix/Linux platforms
Note: This version of the
has no proper motions, but the limits on brightness which existed on
GSC2.2 (F<18.5, Bj<19.5) were removed.
Note: SDSS is also available from http://www.sdss.org/
Note: please credit the usage of the UKIDSS data (details at http://www.ukidss.org/archive/archive.html)
Note: SDSS is also available from http://www.sdss3.org/dr9/
© Université de Strasbourg/CNRS