Bayesian Modeling of Andromeda's Giant Stellar Stream

Details Bayesian Modeling of Andromeda's Giant Stellar Stream Bayesian Modeling of Andromeda's Giant Stellar Stream

Jan 2011

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2011aas...21720701f&link_type=abstract

American Astronomical Society, AAS Meeting #217, #207.01; Bulletin of the American Astronomical Society, Vol. 43, 2011

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Scientific paper

Observed stellar streams and other tidal structures in galaxies are often difficult to model analytically, and best tackled with N-body simulations. But use of one to a few such simulations often fails to capture the range of possibilities presented by the data. Here we apply the Bayesian Markov Chain Monte Carlo (MCMC) method to previous observations of M31's giant stellar stream (GSS). We constrain the stream progenitor's orbital path and phase, its luminous and dark mass, and M31's halo mass. We discuss pitfalls of the MCMC approach arising from the intrinsic noise in N-body simulations, and techniques useful in avoiding these pitfalls. Using the GSS as an example, we also show how the data-constrained libraries of models generated by this method can be used to objectively compare different model spaces and make testable predictions.

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