A Bayesian analysis of the globular clusters. Pym, B. & Widrow, L. M. 2006. Canadian Undergraduate Physics Conference, Fredericton, NB, Canada
abstract   bibtex   
Bayesian analysis is a powerful statistical framework for assessing the validity of scientific models that is quickly gaining popularity in the astrophysics community. When combined with the Markov Chain Monte Carlo (MCMC) method, it is proving very useful for searching the large parameter spaces found in astrophysical modeling---most notably in cosmology. Together with self-consistent numerical models of the Milky Way, these tools can used to develop accurate models of the energy and angular momentum distribution of the galaxy's globular cluster population. Such models may then be combined with other observational data to refine current estimates of important parameters of the Milky Way, including its mass and the density of dark matter here on Earth. In this presentation, we will give a brief overview of Bayesian inference and the MCMC method and discuss its recent application to parameter estimation in galactic dynamics.
@misc{ Pym2006,
  author    = {Brent Pym and Lawrence M. Widrow},
  title     = {A Bayesian analysis of the globular clusters}, 
  abstract   = {Bayesian analysis is a powerful statistical framework for assessing the validity of scientific models that is quickly gaining popularity in the astrophysics community. When combined with the Markov Chain Monte Carlo (MCMC) method, it is proving very useful for searching the large parameter spaces found in astrophysical modeling---most notably in cosmology. Together with self-consistent numerical models of the Milky Way, these tools can used to develop accurate models of the energy and angular momentum distribution of the galaxy's globular cluster population. Such models may then be combined with other observational data to refine current estimates of important parameters of the Milky Way, including its mass and the density of dark matter here on Earth. In this presentation, we will give a brief overview of Bayesian inference and the MCMC method and discuss its recent application to parameter estimation in galactic dynamics.},
  note   = {Canadian Undergraduate Physics Conference, Fredericton, NB, Canada} ,
  year   = {2006}
}

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