Extra-solar Planets via Bayesian Fusion MCMC

Part of the Springer Series in Astrostatistics book series (SSIA, volume 1)


A Bayesian multi-planet Kepler periodogram has been developed based on a fusion Markov chain Monte Carlo algorithm (FMCMC). FMCMC is a new general purpose tool for nonlinear model fitting. It incorporates parallel tempering, simulated annealing and genetic crossover operations. Each of these features facilitate the detection of a global minimum in chi-squared in a highly multi-modal environment. By combining all three, the algorithm greatly increases the probability of realizing this goal.


Marginal Likelihood Proposal Distribution Credible Region Bayesian Model Selection MCMC Algorithm 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.



The author would like to thank Wolfram Research for providing a complementary license to run gridMathematica.


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© Springer Science+Business Media New York 2013

Authors and Affiliations

  1. 1.Department of Physics and AstronomyUniversity of British ColumbiaVancouverCanada

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