Slicing cluster mass functions with a Bayesian razor

Abstract

We apply a Bayesian "razor" to forecast Bayes factors between different parameterizations of the galaxy cluster mass function. To demonstrate this approach, we calculate the minimum size N-body simulation needed for strong evidence favoring a two-parameter mass function over one-parameter mass functions and visa versa, as a function of the minimum cluster mass.

5 pages, 2 figures, accepted to Astronomische Nachrichten

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