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Table 2

Distance and spatial velocity of CMa subgroups.

Sample Nd NUVW d (pc) U (km/s) V (km/s) W (km/s)
Mean Median SD Mean Median SD Mean Median SD
Cluster A 828 60 115088+79Mathematical equation: $1150_{ - 88}^{ + 79}$ 34.01.7+1.3Mathematical equation: $ - 34.0_{ - 1.7}^{ + 1.3}$ –33.6 2.0 7.71.8+1.6Mathematical equation: $ - 7.7_{ - 1.8}^{ + 1.6}$ –7.6 1.8 18.31.7+1.7Mathematical equation: $ - 18.3_{ - 1.7}^{ + 1.7}$ –18.4 1.7
Cluster B 703 22 1183108+103Mathematical equation: $1183_{ - 108}^{ + 103}$ 29.91.6+1.6Mathematical equation: $ - 29.9_{ - 1.6}^{ + 1.6}$ –29.5 1.9 13.00.8+0.8Mathematical equation: $ - 13.0_{ - 0.8}^{ + 0.8}$ –12.7 1.2 14.81.3+1.4Mathematical equation: $ - 14.8_{ - 1.3}^{ + 1.4}$ –14.5 1.3

CMa (all stars) 1531 82 116596+95Mathematical equation: $1165_{ - 96}^{ + 95}$ 32.92.2+3.1Mathematical equation: $ - 32.9_{ - 2.2}^{ + 3.1}$ –33.1 2.7 9.13.4+2.3Mathematical equation: $ - 9.1_{ - 3.4}^{ + 2.3}$ –8.5 2.9 17.42.2+2.4Mathematical equation: $ - 17.4_{ - 2.2}^{ + 2.4}$ –17.7 2.2

Notes. – We provide number of stars used to compute distance and spatial velocity, distance obtained from Bayesian inference, mean, median, and standard deviation (SD) of UVW velocity components. The uncertainties in the distances and velocities are computed from the 16th and 84th percentiles of each distribution.

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