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.
Parameters of 220 million stars from Gaia BP/RP (XP) spectra
Short Name:
XP ap-pars
Date:
19 Jun 2023 07:31:09
Publisher:
The GAVO DC team
Description:
We present astrophysical parameters of 220 million stars, based on
Gaia XP spectra and near-infrared photometry from 2MASS and WISE.
Instead of using ab initio stellar models, we develop a data-driven
model of Gaia XP spectra as a function of the stellar parameters, with
a few straightforward built-in physical assumptions. This resource is
a VO re-publication of the resulting catalog of stellar parameters.
For bulk downloads, the covariances, the trained model, and more, see
https://zenodo.org/record/7811871.
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 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).
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 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.
This server also carries the gedr3mock schema containing a simulation
of gaia_source based on a state-of-the-art galaxy model, computed by
Rybizki et al.
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).
A classifier for spurious astrometric solutions in Gaia EDR3
Short Name:
gedr3spur.main
Date:
23 Mar 2022 13:13:08
Publisher:
The GAVO DC team
Description:
This table contains estimates of the "fidelity" of Gaia eDR3
astrometric solutions, a measure of the likelihood the eDR3 solution
is physical rather than spurious obtained using a neural network
trained on a small, hand-selected sample.
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).