To be published in SPIE Proceedings Vol. 4847, 2002, "Astronomical Data Analysis II," J.-L. Stark and F. Murtagh, eds.

For a PDF version of the article, click here.
For a Postscript version of the article, click here.


CLUSTERING STATISTICS IN COSMOLOGY

Vicent J. Martínez a and Enn Saar b


a Observatori Astronòmic, Universitat de València, Burjassot, 46100, Spain
E-mail: Vicent.Martinez@uv.es
b Tartu Observatory, Tõravere, 61602, Estonia
E-mail: saar@aai.ee


Abstract. The main tools in cosmology for comparing theoretical models with the observations of the galaxy distribution are statistical. We will review the applications of spatial statistics to the description of the large-scale structure of the universe. Special topics discussed in this talk will be: description of the galaxy samples, selection effects and biases, correlation functions, Fourier analysis, nearest neighbor statistics, Minkowski functionals and structure statistics. Special attention will be devoted to scaling laws and the use of the lacunarity measures in the description of the cosmic texture.

Key words: galaxies: statistics, large-scale structure of universe, methods: statistical, methods: data analysis, surveys


Table of Contents

INTRODUCTION

OBSERVATIONS OF THE GALAXY CLUSTERING
Distances
Recent redshift surveys
Selection effects

CORRELATIONS
The two-point correlation function
xi(r) on recent samples
Fractal scaling
Lacunarity

POWER SPECTRUM

OTHER CLUSTERING MEASURES

REFERENCES

Next