Table 2
Intra-system dispersion D for radii (r), masses (m), densities (ρ) and period ratios (p)
Main sample D Npps>1, ![]() |
||||
---|---|---|---|---|
Npl, Ns | D | ![]() |
![]() |
|
r | 493, 171 | 0.317 | 0.322 ± 0.003 | – |
m | 319, 127 | 0.540 | 0.566 ± 0.012 | 0.647 ± 0.031 |
ρ | 296, 120 | 0.584 | 0.619 ± 0.047 | 0.706 ± 0.031 |
D, Npps > 1, ![]() |
||||
r | 483, 167 | 0.318 | 0.320 ± 0.003 | – |
m | 137, 58 | 0.494 | 0.500 ± 0.008 | 0.647 ± 0.057 |
ρ | 86, 36 | 0.500 | 0.505 ± 0.013 | 0.714 ± 0.06 |
D for subsample Npps > 2 | ||||
r | 329, 89 | 0.341 | 0.343 ± 0.003 | – |
m | 147, 41 | 0.711 | 0.727 ± 0.014 | 0.761 ± 0.051 |
ρ | 130, 37 | 0.742 | 0.762 ± 0.020 | 0.862 ± 0.053 |
pr | 374, 99 | 0.615 | 0.615 ± 0.002 | – |
D for subsample Mp < 100 M⊕ | ||||
r | 422, 146 | 0.284 | 0.289 ± 0.003 | – |
m | 282, 113 | 0.446 | 0.476 ± 0.013 | 0.615 ± 0.032 |
ρ | 266, 107 | 0.550 | 0.588 ± 0.052 | 0.699 ± 0.033 |
pr (NppS > 2) | 317, 84 | 0.559 | 0.558 ± 0.002 | – |
D for RV subsample | ||||
r | 171, 66 | 0.337 | 0.340 ± 0.005 | – |
m | 140, 55 | 0.502 | 0.521 ± 0.016 | 0.645 ± 0.046 |
ρ | 132, 53 | 0.561 | 0.581 ± 0.308 | 0.722 ± 0.048 |
pr (Npps > 2) | 107, 29 | 0.689 | 0.689 ± 0.000 | – |
D for TTVs subsample | ||||
r | 166, 71 | 0.230 | 0.238 ± 0.005 | – |
m | 156, 65 | 0.517 | 0.547 ± 0.018 | 0.642 ± 0.044 |
ρ | 146, 61 | 0.585 | 0.631 ± 0.022 | 0.679 ± 0.045 |
pr (Npps > 2) | 61, 17 | 0.455 | 0.455 ± 0.000 | – |
D for HCR subsample | ||||
r | 250, 96 | 0.108 | 0.116 ± 0.004 | – |
m | 172, 75 | 0.351 | 0.388 ± 0.016 | 0.561 ± 0.040 |
ρ | 158, 68 | 0.398 | 0.437 ± 0.020 | 0.579 ± 0.041 |
D for radius from Gaia DR3 | ||||
rflame | 419, 147 | 0.333 | 0.333 ± 0.002 | – |
rgspphot | 419, 147 | 0.333 | 0.335 ± 0.003 | – |
Notes. Npps stand for the number of planets per system, and Ns, Npl the same as in Table 1. stands for average dispersion and σ in parameter after the error-accommodation test for uncertainty to our exoplanet sample.
stands for average dispersion and σ after 105 simulation of mass and density populations from the non-parametric MRR (Ning et al. 2018) giving the observed radii.
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