The Virial Mass Function of Nearby SDSS Galaxy Clusters

dc.creatorRines, Kenneth
dc.creatorDiaferio, Antonaldo
dc.creatorNatarajan, Priyamvada
dc.date2006-06-22
dc.date2006-10-30
dc.date.accessioned2026-07-07T10:23:13Z
dc.date.available2026-07-07T10:23:13Z
dc.descriptionWe present a new determination of the cluster mass function and velocity dispersion function in a volume $\sim10^7 h^3$Mpc$^{-3}$ using the Fourth Data Release of the Sloan Digital Sky Survey (SDSS). We use the caustic technique to remove foreground and background galaxies. The cluster virial mass function agrees well with recent estimates from both X-ray observations and cluster richnesses. The mass function lies between those predicted by the First-Year and Three-Year WMAP data. We constrain the cosmological parameters $Ω_m$ and $σ_8$ and find good agreement with WMAP and constraints from other techniques. With the CIRS mass function alone, we estimate $Ω_m=0.24^{+0.14}_{-0.09}$ and $σ_8=0.92^{+0.24}_{-0.19}$, or $σ_8=0.84\pm$0.03 when holding $Ω_m=0.3$ fixed. We also use the WMAP parameters as priors and constrain velocity segregation in clusters. Using the First and Third-Year results, we infer velocity segregation of $σ_{gxy}/σ_{DM}\approx0.94\pm$0.05 or 1.28$\pm$0.06 respectively. We compare the velocity dispersion function of clusters to that of early-type galaxies and conclude that clusters comprise the high-velocity end of the velocity dispersion function of dark matter haloes. The evolution of cluster abundances provides constraints on dark energy models; the mass function presented here offers an important low redshift calibration benchmark.
dc.description22 pages, 11 figures, ApJ in press, revised figures
dc.identifierhttps://arxiv.org/abs/astro-ph/0606545
dc.identifierhttp://arxiv.org/abs/astro-ph/0606545
dc.identifierAstrophys.J.657:183-196,2007
dc.identifierdoi:10.1086/510829
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/175751
dc.subjectAstrophysics
dc.titleThe Virial Mass Function of Nearby SDSS Galaxy Clusters
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