BAYESIAN INFERENCE FROM OBSERVATIONS OF SOLAR-LIKE OSCILLATIONS

@article{Brewer2007BAYESIANIF,
  title={BAYESIAN INFERENCE FROM OBSERVATIONS OF SOLAR-LIKE OSCILLATIONS},
  author={Brendon J. Brewer and Timothy R. Bedding and Hans Kjeldsen and Dennis Stello},
  journal={The Astrophysical Journal},
  year={2007},
  volume={654},
  pages={551-557}
}
Stellar oscillations, which can be extracted from observed time series of the star's brightness or radial velocity, can provide a wealth of information about a star. In this paper we address the question of how to extract as much information as possible from such a data set. We have developed a Markov chain Monte Carlo (MCMC) code that is able to infer the number of oscillation frequencies present in the signal and their values (with corresponding uncertainties), without having to fit the… 

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