Combining clustering and abundances of galaxy clusters to test cosmology and primordial non-Gaussianity
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12 pages
Published in:
- Mon.Not.Roy.Astron.Soc. 434 (2013) 684
e-Print:
- 1303.0287 [astro-ph.CO]
View in:
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Abstract: (arXiv)
We present the clustering of galaxy clusters as a useful addition to the common set of cosmological observables. The clustering of clusters probes the large-scale structure of the Universe, extending galaxy clustering analysis to the high-peak, high-bias regime. Clustering of galaxy clusters complements the traditional cluster number counts and observable-mass relation analyses, significantly improving their constraining power by breaking existing calibration degeneracies. We use the maxBCG galaxy clusters catalogue to constrain cosmological parameters and cross-calibrate the mass-observable relation, using cluster abundances in richness bins and weak-lensing mass estimates. We then add the redshift-space power spectrum of the sample, including an effective modelling of the weakly non-linear contribution and allowing for an arbitrary photometric redshift smoothing. The inclusion of the power spectrum data allows for an improved self-calibration of the scaling relation. We find that the inclusion of the power spectrum typically brings a per cent improvement in the errors on the fluctuation amplitude and the matter density . Finally, we apply this method to constrain models of the early universe through the amount of primordial non-Gaussianity of the local type, using both the variation in the halo mass function and the variation in the cluster bias. We find a constraint on the amount of skewness () from the cluster data alone.Note:
- 12 pages, 10 figures, 2 tables. Minor changes to match published version on MNRAS
References(132)
Figures(10)