Open Access

Table A.1.

Description of the columns in the tables of detected clusters.

Col. Label Unit Description
1 Name Designation
2 Internal ID Internal designation
3 All names All literature names
4 Kind Estimated object typec
5 nstars Num. of member stars
6 S/N Astrometric S/N
7 nstars|rt nstars within rt
8 S/N|rt S/N within rt

9-10 α, δ deg ICRS position
11-12 l, b deg Galactic position
13-16 r50,  c,  t,  tot deg Angular radii
17-20 R50,  c,  t,  tot pc Physical radii
21-26a μα*, μδ mas yr−1 ICRS proper motions
27-29a ϖ mas Parallax
30-32b d pc Distance
33 nd pc nstars for distance calc.
34 ϖ0 type Parallax offset typed
35-37 X, Y, Z pc Galactocentric coords.
38-40a RV km s−1 Radial velocitye
41 nRV nstars with RVs
42-46b CMD class CMD class quantilesf
47 Human class (where available)f
48-50b log t log[yr] Cluster age
51-53b AV mag V-band extinction
54-56b ΔAV mag Differential AV
57-59b m − M mag Photometric dist. mod.
60 mclSize HDBSCAN parameter
61 merged Flag if mergedg
62 is_gmm Flag if GMM usedh
63 ncrossmatches Num. crossmatches
64 Xmatch type Type of crossmatchi

Notes. The full version is available at the CDS.

a

Mean value, standard deviation σ, and standard error are given.

b

Median value and various confidence intervals are given.

c

g for objects in the Vasiliev & Baumgardt (2021) GC catalogue, otherwise o (OC) or m (moving group) for clusters according to the empirical cuts in Cantat-Gaudin & Anders (2020).

d

Flag indicating six clusters for which parallax bias correction using the method of Lindegren et al. (2021b) was not possible, and a global offset was used instead (see Sect. 3.3).

e

Corrected using cluster distances to be relative to cluster centre.

f

Cluster CMD classes (the probability of a given cluster being a single coeval population of stars) derived using the neural network in Sect. 4. Some clusters also appeared in our human-labelled test dataset, for which human classes are also listed.

g

Indicates 25 clusters merged by hand where initial HDBSCAN clustering was unsatisfactory (see Sect. 3).

h

Indicates nine clusters with members from an additional Gaussian mixture model clustering step, typically applied to difficult to separate binary clusters.

i

Method used to assign name to cluster. In particular, ‘many to many’ crossmatches are the most difficult to assign due to multiple objects crossmatching to multiple literature entries co-dependently (see Sect. 6.3 for full discussion of final cluster name assignments.)

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