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A Bayesian Kepler periodogram detects a second planet in HD 208487
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 Markov chain Monte Carlo (MCMC) algorithm which is capable of efficiently exploring a multipl...
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Published in: | Monthly notices of the Royal Astronomical Society 2007-02, Vol.374 (4), p.1321-1333 |
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Main Author: | |
Format: | Article |
Language: | English |
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Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | 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 Markov chain Monte Carlo (MCMC) algorithm which is capable of efficiently exploring a multiplanet 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 90982−92 d, an eccentricity of 0.370.26−0.20, a semimajor axis of 1.870.13−0.14 au and an M sin i= 0.45+0.11−0.13MJ. The revised parameters of the first planet are period = 129.8 ± 0.4 d, eccentricity = 0.20 ± 0.09, semimajor axis = 0.51 ± 0.02 au and M sin i= 0.41 ± 0.05 MJ. 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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ISSN: | 0035-8711 1365-2966 |
DOI: | 10.1111/j.1365-2966.2006.11240.x |