2 research outputs found
Hidden deep in the halo: Selection of a reduced proper motion halo catalogue and mining retrograde streams in the velocity space
The Milky Way halo is one of the few galactic haloes that provides a unique
insight into galaxy formation by resolved stellar populations. Here, we present
a catalogue of 47 million halo stars selected independent of parallax and
line-of-sight velocities, using a combination of Gaia DR3 proper motion and
photometry by means of their reduced proper motion. We select high tangential
velocity (halo) main sequence stars and fit distances to them using their
simple colour-absolute-magnitude relation. This sample reaches out to 21
kpc with a median distance of kpc thereby probing much further out than
would be possible using reliable Gaia parallaxes. The typical uncertainty in
their distances is kpc. Using the colour range
where the main sequence is narrower, gives
an even better accuracy down to kpc in distance. The
median velocity uncertainty for stars within this colour range is 15.5 km/s.
The distribution of these sources in the sky, together with their tangential
component velocities, are very well-suited to study retrograde substructures.
We explore the selection of two complex retrograde streams: GD-1 and Jhelum.
For these streams, we resolve the gaps, wiggles and density breaks reported in
the literature more clearly. We also illustrate the effect of the kinematic
selection bias towards high proper motion stars and incompleteness at larger
distances due to Gaia's scanning law. These examples showcase how the full RPM
catalogue made available here can help us paint a more detailed picture of the
build-up of the Milky Way halo.Comment: 17 pages. Accepted for publication in MNRAS. The catalogue has been
submitted as supplementary material to CDS and MNRAS for use to do more
wonderful science. Comments are welcomed and appreciated
The Pristine survey -- XXIII. Data Release 1 and an all-sky metallicity catalogue based on Gaia DR3 BP/RP spectro-photometry
We use the spectro-photometric information of ~219 million stars from Gaia's
DR3 to calculate synthetic, narrow-band, metallicity-sensitive CaHK magnitudes
that mimic the observations of the Pristine survey, a survey of photometric
metallicities of Milky Way stars that has been mapping more than 6,500 deg^2 of
the northern sky with the CFHT since 2015. These synthetic magnitudes are used
for an absolute re-calibration of the deeper Pristine photometry and, combined
with broadband Gaia information, synthetic and Pristine CaHK magnitudes are
used to estimate photometric metallicities over the whole sky. The resulting
metallicity catalogue is accurate down to [Fe/H]~-3.5 and is particularly
suited for the exploration of the metal-poor Milky Way ([Fe/H]<-1.0). We make
available here the catalogue of synthetic CaHK_syn magnitudes for all stars
with BP/RP information in Gaia DR3, as well as an associated catalogue of more
than ~30 million photometric metallicities for high S/N FGK stars. This paper
further provides the first public DR of the Pristine catalogue in the form of
higher quality recalibrated Pristine CaHK magnitudes and photometric
metallicities for all stars in common with the BP/RP information in Gaia DR3.
We demonstrate that, when available, the much deeper Pristine data greatly
enhances the quality of the derived metallicities, in particular at the faint
end of the catalogue (G_BP>16). Combined, both catalogues include more than 2
million metal-poor star candidates as well as more than 200,000 and ~8,000 very
and extremely metal-poor candidates. Finally, we show that these metallicity
catalogues can be used efficiently, among other applications, for Galactic
archaeology, to hunt for the most metal-poor stars, and to study how the
structure of the Milky Way varies with metallicity, from the flat distribution
of disk stars to the spheroid-shaped metal-poor halo. (Shortened)Comment: 30 pages, 24 figures, submitted to A&A. First two authors are
co-first author. The CaHK photometry catalogue and the two photometric
metallicity catalogues are available, before acceptance, as large compressed
csv files at: https://seafile.unistra.fr/d/ee0c0f05719d4368bcbb