arXiv · astro-ph/0209208
Clustering statistics in cosmology
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.
Explore related subjects
Keep this discovery
Explore connections, maps & timelines
Vicent J. Martinez, Enn Saar. 2002-09-11. Clustering statistics in cosmology. https://doi.org/10.1117/12.461972
Cite the original work for its findings. Save a collection to share your selection of sources.