Predicting the Clustering of X-Ray Clusters
Abstract
We present a theoretical model which aims at predicting the clustering properties of X-ray clusters in flux-limited surveys for different cosmological scenarios. The model uses the theoretical and empirical relations between mass, temperature and X-ray luminosity, and fully accounts for the redshift evolution of the underlying dark matter clustering and cluster bias factor. We apply the model to the RASS1 Bright Sample and to the XBACs catalogue. The results show that the Einstein-de Sitter models display too low a correlation length, while models with a matter density parameter Omega_0m=0.3 (with or without a cosmological constant) are successful in reproducing the observed clustering.
Keywords
Cite
@article{arxiv.astro-ph/9910291,
title = {Predicting the Clustering of X-Ray Clusters},
author = {Lauro Moscardini and Sabino Matarrese and Francesco Lucchin and Sabrina De Grandi and Piero Rosati},
journal= {arXiv preprint arXiv:astro-ph/9910291},
year = {2007}
}
Comments
5 pages, Latex using newpasp.sty, 2 figures. To appear in the proceedings of the IGRAP meeting on "Clustering at high redshift" (Marseille, July 1999)