The 1-Point Cluster Distribution Function and its Moments
Abstract
We derive the 1-point probability density function of the smoothed 3-D Abell-ACO cluster density field and we compare it with that of artificial cluster samples, generated as high peaks of a Gaussian field in such a way that they reproduce the low-order (2- and 3-point) correlation functions and the observed cluster selection functions. We find that both real and simulated {\em pdf}'s are well approximated by a log-normal distribution even when the Gaussian smoothing radius is as large as 40 Mpc. Furthermore the low-order moments of the {\em pdf} are found to obey a relation , with being the skewness and . These results are consistent with clusters being high-peaks of an underlying initial Gaussian density field. A by-product of our analysis is that when we rescale the {\em pdf} cluster moments to those of the QDOT-IRAS galaxies, using linear biasing with and for the common smoothing radius of 20 Mpc, we find them to be significantly smaller than those directly estimated from the QDOT data by Saunders et al. (1991).
Cite
@article{arxiv.astro-ph/9409005,
title = {The 1-Point Cluster Distribution Function and its Moments},
author = {M. Plionis and R. Valdarnini},
journal= {arXiv preprint arXiv:astro-ph/9409005},
year = {2015}
}
Comments
LaTex file. Submitted in MNRAS June 1994. Figures upon request