Table 5
Overview of the results of different baseline models for the HARPS datasets.
| Dataset | Baseline model | Rb (R⊕) | Mb (M⊕) | eb | Rc (R⊕) | Mc (M⊕) | ec |
|---|---|---|---|---|---|---|---|
| DRS | Carleo et al. (2020) | 2.68 ± 0.19 | 7.2 ± 0.7 | 0.16 ± 0.08 | 5.09 ± 0.16 | 16.4 ± 1.1 | 0.15 ± 0.04 |
| Polynomials | 2.69 ± 0.11 | 6.6 ± 0.8 | 0.12 ± 0.07 | 5.03 ± 0.07 | 15.0 ± 1.3 | 0.23 ± 0.04 | |
| SHO-GP | 2.61 ± 0.08 | 7.2 ± 0.7 | 0.18 ± 0.04 | 5.06 ± 0.07 | 12.7 ± 1.4 | 0.22 ± 0.04 | |
| SNF | Polynomials | 2.72 ± 0.11 | 7.0 ± 0.9 | 0.10 ± 0.06 | 5.00 ± 0.08 | 14.7 ± 1.4 | 0.25 ± 0.05 |
| SHO-GP | 2.61 ± 0.07 | 7.3 ± 0.6 | 0.17 ± 0.05 | 5.01 ± 0.08 | 12.4 ± 1.3 | 0.25 ± 0.05 | |
Notes. Carleo et al. (2020) used a sinusoidal function as baseline and the pyaneti code (Barragán et al. 2019). Results employing polynomials as baseline were retrieved using the MCMCI code, while results employing a SHO-GP as baseline were retrieved using the allesfitter code.
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