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Table A.1

Priors of Bayesian MCMC analysis.

Parameter Prior
P
tic
   
K
   
e cos ω*
   
e sin ω*
   
v0SOPHIE+
   
ΔRVSOPHIE∕SOPHIE+
   
ΔRVELODIE∕SOPHIE+
   
σSOPHIE+
   
σSOPHIE
   
σELODIE

Notes. , , and β(a, b) stand for uniform, Jeffreys, normal, and beta probability distributions, respectively. For the uniform and Jeffreys distributions, vmin and vmax are the minimum and maximum values. For the normal distribution, mean is self-explanatory and std is the standard deviation. For the beta distribution, a and b are the 2 shape parameters of the beta distribution. ΔtRV designate the time span of the RV observations (considering all instruments). med used in several priors is the abbreviation of median. Similarly, var is the abbreviation of variance. is the maximum of the pic-to-pic values computed for each instrument separately. JP stands for joint prior. These joint priors are described in more details in the text of Appendix A.

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