Table 4
Model probabilities for HD 1461.
| log p(D | Mn,I)−1100 | p(Mn | D,I) /p(M3 | D,I) |
|
σO−C | ||||||
| n | Periods [d] | CJ01 | P14 | TPM | BIC | CJ01 | P14 | [m s-1] | [m s-1] |
|
|
|||||||||
| 3 | {5.77, 13.5, 3500} | 80.44 ± 0.06 | 81.15 ± 0.05 | 132.51 | 93.76 | 1.0 | 1.0 | 2.20 ± 0.19 | 2.257 ± 0.071 |
|
|
|||||||||
| 4 | {5.77, 13.5, 22.9, 3500} | 76.31 ± 0.11 | 79.84 ± 0.05 | 143.52 | 93.18 | 0.016 ± 0.002 | 0.274 ± 0.016 | 2.15 ± 0.18 | 2.242 ± 0.075 |
|
|
|||||||||
| 4 | {5.77, 13.5, 620, 3500} | 84.57 ± 0.04 | 84.16 ± 0.11 | 145.74 | 97.07 | 60.8 ± 4.0 | 19.6 ± 2.4 | 1.87 ± 0.19 | 1.965 ± 0.092 |
|
|
|||||||||
| 5 | {5.77, 13.5, 22.9, 620, 3500} | 77.24 ± 0.17 | 76.92 ± 0.14 | 153.97 | 93.94 | (2.25 ± 0.30) × 10-4 | 0.015 ± 0.003 | 1.81 ± 0.19 | 1.946 ± 0.098 |
Notes. Estimate of the evidence (marginal likelihood) for models with n = 3,...,5 Keplerians. The periods of the included signals are listed in the second column. The estimates based on the method of Chib & Jeliazkov (2001, CJ01) and Perrakis et al. (2014, P14) are given in Cols. 3 and 4. For comparison, we also report the estimate obtained based on the Tuomi & Jones (2012) TPM estimator and on the Bayesian information criterion (BIC) in Cols. 5 and 6. For clarity, we have subtracted 1100 from each estimation, which corresponds to a change of units in the observed radial velocities. Columns 7 and 8 list the odds ratio between model i with respect to the three-Keplerian model. Additionally, the posterior estimates of the amplitude of the additional base-level noise and the dispersion of the residuals are given in Cols. 9 and 10.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.