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Published March 3, 2011 | Published
Journal Article Open

Cluster abundance in f(R) gravity models

Abstract

As one of the most powerful probes of cosmological structure formation, the abundance of massive galaxy clusters is a sensitive probe of modifications to gravity on cosmological scales. In this paper, we present results from N-body simulations of a general class of f(R) models, which self-consistently solve the nonlinear field equation for the enhanced forces. Within this class we vary the amplitude of the field, which controls the range of the enhanced gravitational forces, both at the present epoch and as a function of redshift. Most models in the literature can be mapped onto the parameter space of this class. Focusing on the abundance of massive dark matter halos, we compare the simulation results to a simple spherical collapse model. Current constraints lie in the large-field regime, where the chameleon mechanism is not important. In this regime, the spherical collapse model works equally well for a wide range of models and can serve as a model-independent tool for placing constraints on f(R) gravity from cluster abundance. Using these results, we show how constraints from the observed local abundance of X-ray clusters on a specific f(R) model can be mapped onto other members of this general class of models.

Additional Information

© 2011 American Physical Society. Received 12 November 2010; published 3 March 2011. S. F. and W. H. were supported by the Kavli Institute for Cosmological Physics (KICP) at the University of Chicago through Grants NSF PHY-0114422 and NSF PHY-0551142 and an endowment from the Kavli Foundation and its founder Fred Kavli. S. F. was additionally supported by Eugene and Niesje Parker and Robert G. Sachs. W. H. was additionally supported by U.S. Department of Energy Contract DE-FG02-90ER-40560 and the David and Lucile Packard Foundation. F. S. was supported by the Gordon and Betty Moore Foundation at Caltech. Computational resources for the cosmological simulations were provided by the KICP-Fermilab computer cluster.

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