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Table 2

Marginal likelihood estimations and Bayes factors for various RV datasets and models.

Dataset NRV Model ln model evidencea Bayes factor: 2 to 1 planetsb
D
HARPS 106 1 planet + GP −338.5
2 planets + GP −325.5 3 × 105
CARMENES 58 1 planet + GP −180.6
2 planets + GP −178.1 7
reduced CARMENES 55 1 planet + GP −169.5
2 planets + GP −164.1 143
HARPS + reduced CARMENES 161 1 planet + GP −489.6
2 planets + GP −475.8 6 × 105

blue HARPS 106 1 planet + GP −375.5
2 planets + GP −369.2 336
red HARPS 106 1 planet + GP −375.5
2 planets + GP −359.4 6 × 106
blue CARMENES 55 1 planet + GP −186.8
2 planets + GP −183.0 28
red CARMENES 55 1 planet + GP −174.0
2 planets + GP −159.1 2 × 106

HARPS (Feb–Jun 2017) 35 1 planet + GP −121.0
2 planets + GP −113.6 1018
CARMENES (Feb–Jun 2017) 49 1 planet + GP −151.7
2 planets + GP −146.0 181
HARPS + CARMENES (Feb–Jun 2017) 84 1 planet + GP −256.5
2 planets + GP −249.6 613

Notes. (a) Estimates of the model evidence arecalculated using the Perrakis et al. (2014) estimator and the marginalized posterior probability density functions from our MCMC runs. (b) Bayes factors, or evidence ratios, are written as , where each model prior is for such that .

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