The Cutting Edge: Selecting a Mass Function by Way of the Bayesian Razor

Details The Cutting Edge: Selecting a Mass Function by Way of the Bayesian Razor The Cutting Edge: Selecting a Mass Function by Way of the Bayesian Razor

Jan 2010

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2010aas...21543702s&link_type=abstract

American Astronomical Society, AAS Meeting #215, #437.02; Bulletin of the American Astronomical Society, Vol. 42, p.390

Astronomy and Astrophysics

Astronomy

Scientific paper

We apply a Bayesian model-selection "razor", based on the Minimum Description Length Principle, to the galaxy cluster mass function. The cluster mass function is a powerful tool to constrain cosmology, including the evolution of dark energy. Various parameterizations of the mass function may be fit to current and upcoming observations. We show how the razor can estimate the minimum size cluster catalog that is required for different parameterizations of the mass function to lead to statistically significant conclusions.

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