Table 4
Distribution of KiDS SSOs over SSO populations.
| MBA | JTA | MC | NEO | KBO | Cen | Com | |
|---|---|---|---|---|---|---|---|
| Number | 10 542 | 150 | 81 | 13 | 4 | 1 | 2 |
| Fraction/% | 97.7 | 1.4 | 0.8 | 0.1 | 0.04 | 0.01 | 0.02 |
Notes. By cross-matching our sample with the SkyBoT database, we identified 10 793 objects, making up 53.4% of the sample. The distribution of the identified objects over the SSO populations as given in the text are listed here, stating the number of identified objects for each class and the fraction in relation to the whole sample of identified SSOs. A simple extrapolation to the entire sample would give a factor of two more for each population.
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