2021-03-11T11:36:23Z
100
The Gaia eDR3 Catalogue of Nearby Stars GCNS
This is a clean and well characterised catalogue of objects within 100pc of
the Sun from the Gaia early third data release. We characterise the
catalogue using the full data release, and comparisons to other catalogues
in literature and simulations. For all candidates (measured parallax <
8 mas), we calculate a distance probability function using Bayesian
procedures and mock catalogues for the prediction of the priors. For each
entry using a random forest classifier we attempt to remove sources with
spurious astrometric solutions.
This results in 331312 objects that should contain at least 92% of stars
within 100 pc at spectral type M9.
GCNS comes with several auxiliary tables, in particular lists of
resolved stellar systems, of known neary stars not found in eDR3 and
of candidates of Hyades and ComaBer cluster members.
catalogs
hertzsprung-russell-diagram
luminosity-function
stellar-mass-functions
solar-neighborhood
Smart, R.L.; Sarro, L.M.; Rybizki, J.; Reylé, C.;
Robin, A.C.; Hambly, N.C.; Abbas, U.; Barstow, M.A.; de Bruijne, J.H.J.;
Bucciarelli, B.; Carrasco, J.M.; Cooper, W.J.; Hodgkin, S.T.; Masana, E.;
Michalik, D.; Sahlmann, J.; Sozzetti, A.; Gaia Collaboration
Gaia
https://doi.org/10.1051/0004-6361/202039498
Research
Catalog
Optical
source_id
vel, coo
u, x
v, y
w, z
item, ucd
g, V
r, R
i, I
z, I
band, source, weirdo, ucd
w1, CATWISE, _pm, em.IR.3-4um
w2, CATWISE, _pm, em.IR.4-8um
w3, CATWISE, , em.IR.8-15um
w4, ALLWISE, , em.IR.15-30um
0/0-11
eDR3 Gaia Catalogue of Nearby Stars (GCNS)
This is the main catalogue. Additional
resources include: gcns.resolvedss (resolved stellar systems),
gcns.missing_10mas (objects missing from eDR3 that have been
suspected of being within 100 pc before), and gcns.hyacob (probable
members of the Hyades and the Coma Berenices open cluster).
1
col, nullLiteral
adoptedrv_refname,' NaN'
refname_gunn,' NaN'
name_2mass,'...'
name_wise,'...'
{'T': 1, 'F': 0}
"radial_velocity_is_valid"
eDR3 GCNS: Rejected Objects
This is the catalogue of objects in the 8mas
sample that were rejected for the main Gaia Catalogue of
Nearby Stars as having a zero probability of being inside
100pc or indicated as a spurious astrometric solution.
eDR3 GCNS Resolved Binary Candidates
Resolved binary candidates in the GCNS catalogue as discussed in
https://doi.org/10.1051/0004-6361/202039498, “stellar multiplicity:
resolved systems”. You probably want to join this table to gaia.edr3lite
using source_id1 and/or source_id2.
eDR3 GCNS list of possibly nearby stars missing
A table of 1258 objects with published
parallaxes greater than 10mas that are not or have no parallax in
Gaia eDR3 and are hence not listed in gcns.main.
main_id:1-26
ra: 29-38
dec: 43-52
plx_value: 57-63
plx_bibcode: 74-92
otype: 101-103
eDR3 GCNS open cluster membership table
A list of 920+212 probable Hyades and ComaBer members in
the eDR3 GCNS sample.
This is computed using the median xcoord, ycoord, zcoord from gcns.main.
The cluster barycentre is computed as the average (X, Y, Z) coordinate of
all stars in the central region of the cluster (two tidal radii),
assuming equal masses for all stars.
source_id: 1-21
name: 25-31
c_cluster: 34-39
dist_cluster: 46- 52
Magnitude distribution over \item-HEALPixes
The G magnitude distribution percentiles per level \item HEALpixes for all
Gaia sources with a parallax and a G magnitude measurement. Can be used
to approximate the G magnitude limit for Gaia at that position of the
sky. Sources up to a limiting magnitude equal to 'magnitude_70' are 98%
complete when compared to PS1. The 80th and 90th percentile decrease the
completeness in Gaia to 97% and 95%, respectively. These cuts can be
very useful, when trying to compare Gaia data to models, e.g. the
GeDR3mock catalog (gedrmock.main).
2
data
eDR3 GCNS SCS
1.7924
45.2415
0.001
cone/scs.xml
row = self.getFirstVOTableRow()
self.assertEqual(row["uvel_50"], None)
self.assertAlmostEqual(row['h_m_2mass'], 11.916000366210938)
self.assertEqual(row['source_id'], '386447898732453888')
self.assertEqual(row['radial_velocity_is_valid'], 0)
/tap/sync
row = self.getFirstVOTableRow()
self.assertAlmostEqual(row["proj_sep"], 340.0213928222)
self.assertEqual(row["bound"], 1)
/tap/sync
row = self.getFirstVOTableRow()
self.assertAlmostEqual(row["dist_cluster"], 59.4700012207)
/tap/sync
row = self.getFirstVOTableRow()
self.assertAlmostEqual(row["magnitude_70"], 19.70000076)
self.assertEqual(row["sourcecount"], 8760)