Cosmological Constraints from a 31 GHz Sky Survey with the Sunyaev-Zel'dovich Array
arXiv:1012.1610 · doi:10.1088/0004-637X/732/1/28
Abstract
We present the results of a 6.1 square degree survey for clusters of galaxies via their Sunyaev- Zel'dovich (SZ) effect at 31 GHz. From late 2005 to mid 2007 the Sunyaev-Zel'dovich Array (SZA) observed four fields of roughly 1.5 square degrees each. One of the fields shows evidence for significant diffuse Galactic emission, and we therefore restrict our analysis to the remaining 4.4 square degrees. We estimate the cluster detectability for the survey using mock observations of simulations of clusters of galaxies; and determine that, at intermediate redshifts (z ~ 0.8), the survey is 50% complete to a limiting mass (M200 rho mean) of ~ 6.0 x 10^14M_{solar}, with the mass limit decreasing at higher redshifts. We detect no clusters at a significance greater than 5 times the RMS noise level in the maps, and place an upper limit on σ_8, the amplitude of mass density fluctuations on a scale of 8h^-1 Mpc, of 0.84 + 0.07 at 95% confidence, where the uncertainty reflects calibration and systematic effects. This result is consistent with estimates from other cluster surveys and CMB anisotropy experiments.
10 pages, 7 figures, 3 tables
Cited by in corpus (9)
- Discovery of a Dissociative Galaxy Cluster Merger with Large Physical Separation
- Detailed SZ study of 19 LoCuSS galaxy clusters: masses and temperatures out to the virial radius
- What do cluster counts really tell us about the Universe?
- Sunyaev Zel'dovich observations of a statistically complete sample of galaxy clusters with OCRA-p
- CARMA follow-up of the northern unconfirmed PLANCK galaxy cluster candidates
- A blind detection of a large, complex, Sunyaev--Zel'dovich structure
- A joint analysis of AMI and CARMA observations of the recently discovered SZ galaxy cluster system AMI-CL J0300+2613
- Star Formation In The Cluster Merger DLSCL J0916.2+2953
- Joint analysis of X-ray and Sunyaev Zel'dovich observations of galaxy clusters using an analytic model of the intra-cluster medium