Table 5.
Best-fit models of the nested grids for KIC 4930889 A according to Mahalanobis distance.
| Obs. | Grid | Mini [M⊙] | Zini | αCBM | fCBM | log(Denv) | Xc | Ωrot [d−1] | Ωrot/Ωcrit | Mcc[M⊙] | MD | AICc |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| ΔP | Péclet | 4.1 |
0.016 |
(...) | 0.02 |
2.0 |
0.51 |
0.75 |
0.39 | 0.79 |
14 | −250.2 |
| Radiative | 4.2 |
0.016 |
(...) | 0.015 |
2.0 |
0.51 |
0.75 |
0.39 | 0.82 |
13 | −250.0 | |
| No CBM | 4.2 |
0.016 |
(...) | (...) | 4.0 |
0.42 |
0.73 |
0.45 | 0.72 |
8 | −249.0 | |
| Péclet | 4.2 |
0.016 |
0.15 |
(...) | 2.0 |
0.50 |
0.75 |
0.39 | 0.79  |
10 | −248.1 | |
| Péclet | 3.9 |
0.012 |
0.3 |
0.025 |
1.0 |
0.52 |
0.75 |
0.38 | 0.71  |
16 | −247.2 | |
| Radiative | 3.9 |
0.008 |
0.2 |
(...) | 2.0 |
0.34 |
0.71 |
0.44 | 0.61  |
10 | −247.0 | |
| Radiative | 4.1 |
0.016 |
0.15 |
0.005 |
2.0 |
0.52 |
0.75 |
0.38 | 0.81  |
16 | −244.9 | |
| Period | Radiative | 4.2 |
0.016 |
(...) | 0.015 |
2.0 |
0.51 |
0.75 |
0.39 | 0.82 |
13 | −269.9 |
| Péclet | 4.1 |
0.016 |
(...) | 0.025 |
2.0 |
0.52 |
0.75 |
0.39 | 0.80 |
14 | −269.9 | |
| No CBM | 4.2 |
0.016 |
(...) | (...) | 4.0 |
0.42 |
0.73 |
0.45 | 0.72 |
8 | −268.8 | |
| Péclet | 4.0 |
0.012 |
0.2 |
(...) | 2.0 |
0.52 |
0.75 |
0.36 | 0.76  |
10 | −267.3 | |
| Radiative | 3.8 |
0.008 |
0.2 |
(...) | 2.0 |
0.23 |
0.70 |
0.54 | 0.50  |
10 | −266.6 | |
| Péclet | 4.0 |
0.012 |
0.25 |
0.025 |
1.0 |
0.52 |
0.75 |
0.38 | 0.75  |
17 | −266.3 | |
| Radiative | 4.1 |
0.016 |
0.15 |
0.005 |
2.0 |
0.52 |
0.75 |
0.38 | 0.81  |
16 | −264.4 | |
Notes. The rows in bold indicate that there is no preference between this model and the best one according to the AICc. The numbers in sub- and superscript indicate the lower- and upper limits of the uncertainty region of a parameter as derived from the 2σ error ellipses of the MD. These are projections of the error ellipses in one dimension, and do not show the parameter combinations that constitute the higher dimensional error ellipses. The method to construct the theoretical pattern is according to the highest frequency when using the period spacings as observables, and according to the highest amplitude when using the periods. Parameters fixed to zero in a nested grid are indicated by (...).
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