This catalogue is a simulation of the Gaia DR2 stellar content using
Galaxia (a tool to sample stars from a Besancon-like Milky Way model),
3d dust extinction maps and the latest PARSEC Isochrones. It is
mimicking the Gaia DR2 data model and an apparent magnitude limit of
g=20,7. Extinctions and photometry in different bands have also been
included in a supplementary table as well as uncertainty estimates
using a scaled nominal error model.
Extracted sources from the Bochum Galactic Disk Survey. We provide
mean photometry in U, B, V, z, r, and i bands. Note that sources in
different bands are not matched. Also, sources sitting in the regions
imaged in multiple fields have not been matched even within one band.
In i and r, BGDS light curves are available. See related services for
details.
The Bochum Galactic Disk Survey is an ongoing project to monitor the
stellar content of the Galactic disk in a 6 degree wide stripe
centered on the Galactic plane. The data has been recorded since
mid-2010 in Sloan r and i simultaneously with the RoBoTT Telecsope at
the Universitaetssternwarte Bochum near Cerro Armazones in the Chilean
Atacama desert. It contains measurements of about 2x10^7 stars over
more than seven years. Additionally, intermittent measurements in
Johnson UVB and Sloan z have been recorded as well.
This service exposes the light curves of stars produced by the Bochum
Galactic Disk Survey; several million light curves are provided in the
SDSS i and r bands. The lightcurves are published per-band and are
also available through obscore.
Estimated distances to 1.33 billion stars in Gaia DR2
Short Name:
gdr2dist scs
Date:
04 Apr 2022 15:48:41
Publisher:
The GAVO DC team
Description:
This catalogue provides distances estimates (and uncertainties therein)
for 1.33 billion stars over the whole sky brighter than about G=20.7.
These have been estimated using the parallaxes (and their uncertainties)
from Gaia DR2. A Bayesian procedure was used involving a prior
with a single parameter L(l,b), which varies smoothly with Galactic
longitude and latitude according to a Galaxy model. The posterior is
summarized with a point estimate (usually the mode) and a confidence
interval (usually the 68% highest density interval). The estimation
procedure is described in detail in the `accompanying paper`_,
which also analyses the catalogue content.
.. _accompanying paper: http://www.mpia.de/homes/calj/gdr2_distances.html
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 catalogue is a simulation of the Gaia EDR3 stellar content using
Galaxia (a tool to sample stars from a Besancon-like Milky Way model),
3d dust extinction maps and the latest PARSEC Isochrones. It is
mimicking the Gaia DR2 data model and an apparent magnitude limit of
G=20,7. Extinctions and photometry in different bands have also been
included in a supplementary table as well as uncertainty estimates
using scaled GDR2 errors. Additional magnitude limit per HEALpix maps
are provided, based on the mode in the magnitude distribution of Gaia
DR2 data.
Geometric and photogeometric distances to 1.47 billion stars in Gaia
Early Data Release 3 (eDR3)
Short Name:
gedr3dist.main
Date:
29 Aug 2022 10:46:03
Publisher:
The GAVO DC team
Description:
We estimate the distance from the Sun to sources in Gaia eDR3 that have
parallaxes. We provide two types of distance estimate, together with
their corresponding asymmetric uncertainties, using Bayesian posterior
density functions that we sample for each source. Our prior is based
on a detailed model of the 3D spatial, colour, and magnitude
distribution of stars in our Galaxy that includes a 3D map of
interstellar extinction.
The first type of distance estimate is purely geometric, in that it only
makes use of the Gaia parallax and parallax uncertainty. This uses a
direction-dependent distance prior derived from our Galaxy model. The
second type of distance estimate is photogeometric: in addition to
parallax it also uses the source's G-band magnitude and BP-RP
colour. This type of estimate uses the geometric prior together with a
direction-dependent and colour-dependent prior on the absolute magnitude
of the star.
Our distance estimate and uncertainties are quantiles, so are invariant
under logarithmic transformations. This means that our median estimate
of the distance can be used to give the median estimate of the distance
modulus, and likewise for the uncertainties.
For applications that cannot be satisfied through TAP, you can download
a `full table dump`_.
.. _full table dump: /gedr3dist/q/download/form
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.
The RAdial Velocity Experiment (RAVE) contains stellar atmospheric
parameters (effective temperature, surface gravity, overall
metallicity), radial velocities, chemical abundances and distances.
Observations between 2003 and 2013 were used to build the five RAVE
data releases.
![The Gaia eDR3 (photo-) geometric distances catalogue. is licensed under the `Creative Commons Attribution 4.0 License <http://creativecommons.org/licenses/by/4.0/>`_ .. image:: /static/img/ccby.png :alt: [CC-BY]](/registry-search/?f%5Brights_facet%5D%5B%5D=The+Gaia+eDR3+%28photo-%29+geometric+++distances+catalogue.+is+licensed+under+the+%60Creative+Commons+Attribution+4.0+License+%3Chttp%3A%2F%2Fcreativecommons.org%2Flicenses%2Fby%2F4.0%2F%3E%60_%0A%0A..+image%3A%3A+%2Fstatic%2Fimg%2Fccby.png%0A+++%3Aalt%3A+%5BCC-BY%5D%0A%0A&f%5Bsubject_facet_lc%5D%5B%5D=milky-way-galaxy){kind=link}