Likelihood Methods for Cluster Dark Energy Surveys

Details Likelihood Methods for Cluster Dark Energy Surveys Likelihood Methods for Cluster Dark Energy Surveys

2006-02-07

arxiv.org/abs/astro-ph/0602147v1

Phys.Rev.D73:067301,2006

Astronomy and Astrophysics

Astrophysics

4 pages

Scientific paper

10.1103/PhysRevD.73.067301

Galaxy cluster counts at high redshift, binned into spatial pixels and binned into ranges in an observable proxy for mass, contain a wealth of information on both the dark energy equation of state and the mass selection function required to extract it. The likelihood of the number counts follows a Poisson distribution whose mean fluctuates with the large-scale structure of the universe. We develop a joint likelihood method that accounts for these distributions. Maximization of the likelihood over a theoretical model that includes both the cosmology and the observable-mass relations allows for a joint extraction of dark energy and cluster structural parameters.

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