Abstract
An automatic Bayesian Kepler periodogram has been developed for identifying and characterizing multiple planetary orbits in precision radial velocity data. The periodogram is powered by a parallel tempering MCMC algorithm which is capable of efficiently exploring a multi-planet model parameter space. The periodogram employs an alternative method for converting the time of an observation to true anomaly that enables it to handle much larger data sets without a significant increase in computation time. Improvements in the periodogram and further tests using data from HD 208487 have resulted in the detection of a second planet with a period of $909_{-92}^{82}$d, an eccentricity of $0.37_{-0.20}^{0.26}$, a semi-major axis of $1.87_{-0.14}^{0.13}$ AU and an $M \sin i = 0.45_{-0.11}^{0.13}$ M$_{\rm J}$. The revised parameters of the first planet are period $= 129.8\pm 0.4$d, eccentricity $= 0.20\pm 0.09$, semi-major axis $= 0.51\pm0.02$ AU and $M \sin i = 0.41\pm0.05$ M$_{\rm J}$. Particular attention is paid to several methods for calculating the model marginal likelihood which is used to compare the probabilities of models with different numbers of planets.

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