This table, corresponding to gaia_source of the full DR1, contains
the 1.15 billion objects reliably detected in the first 14 months of
Gaia observations. It essentially consists of high-precision positions
and magnitudes. The TGAS subset (about 2 million objects observed by
both Gaia and Hipparcos) has proper motions and parallaxes. Users are
advised to beware strong correlations between the astrometric
parameters present for some of the less densely observed objects and
the inhomogeneous coverage in this first data release (solution id:
1635378410781933568).
A table of the light curves released with Gaia DR2 (about half a million
in total). In each Gaia band (G, BP, RP), we give epochs, fluxes and
their errors in arrays. We do not include the quality flags (DR2: “may
be safely ignored for many general purpose applications”). You can
access them through the associated datalink service if you select
source_id. You will usually join this table with gaia.dr2light.
We have also removed all entries with NaN observation times; hence,
the array lengths in the different bands can be significantly different,
and the indices in transit_ids do not always correspond to the
indices in the time series.
Furthermore, we only give fluxes and their errors here rather than
magnitudes. Fluxes can be turned into magnitude using::
mag = -2.5 log10(flux)+zero point,
where the zero points assumed for Gaia DR2 are
25.6884±0.0018 in G, 25.3514±0.0014 in BP, and
24.7619±0.0019 in RP (VEGAMAG).
This schema contains data re-published from the official
Gaia mirrors (such as ivo://uni-heidelberg.de/gaia/tap) either to
support combining its data with local tables (the various Xlite tables)
or to make the data more accessible to VO clients (e.g., epoch fluxes).
Other Gaia-related data is found in, among others, the gdr2dist, gdr3mock,
gdr3spec, gedr3auto, gedr3dist, gedr3mock, and gedr3spur schemas.
This service exposes about 0.5 million light curves of stars
classified as variable by the Gaia analysis system through the VO SSAP
protocol. The lightcurves are published per-band and are also
available through obscore.
This schema contains data re-published from the official
Gaia mirrors (such as ivo://uni-heidelberg.de/gaia/tap) either to
support combining its data with local tables (the various Xlite tables)
or to make the data more accessible to VO clients (e.g., epoch fluxes).
This schema contains data re-published from the official
Gaia mirrors (such as ivo://uni-heidelberg.de/gaia/tap) either to
support combining its data with local tables (the various Xlite tables)
or to make the data more accessible to VO clients (e.g., epoch fluxes).
Other Gaia-related data is found in, among others, the gdr3mock,
gdr3spec, gedr3auto, gedr3dist, gedr3mock, and gedr3spur schemas.
This service returns the most important Gaia DR3 gaia_source columns
together with robust geometric and photogeometric distances for the
~1.47 billion objects in Bailer-Jones et al's distance catalogue.
This is a re-publication the Gaia DR3 RP/BP spectra in the IVOA Spectral
Data Model. It presents the continous spectra in sampled form, using a
Monte Carlo scheme to decorrelate errors, elaborated in this resource's
reference URL. The underlying tables are also available for querying
through TAP, which opens some powerful methods for mass-analysing the data.
This is a re-publication the Gaia DR3 RP/BP spectra in the IVOA Spectral
Data Model. It presents the continous spectra in sampled form, using a
Monte Carlo scheme to decorrelate errors, elaborated in this resource's
reference URL. The underlying tables are also available for querying
through TAP, which opens some powerful methods for mass-analysing the data.
This is gaia_source from the Gaia Data Release 3, stripped to just
enough columns to enable basic science (but therefore a bit faster and
simpler to deal with than the full gaia_source table).
Note that on this server, there is also The gedr3dist.main, which
gives distances computed by Bailer-Jones et al. Use these in
preference to working with the raw parallaxes.
The full DR3 is available from numerous places in the VO (in
particular from the TAP services ivo://uni-heidelberg.de/gaia/tap and
ivo://esavo/gaia/tap).