Open AccessEnergy ranking preservation in an N ‐body cosmological simulation
Author(s) -
Dantas Christine C.,
Ramos Fernando M.
Publication year - 2006
Publication title -
monthly notices of the royal astronomical society
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.058
H-Index - 383
eISSN - 1365-2966
pISSN - 0035-8711
DOI - 10.1111/j.1365-2966.2006.10479.x
Subject(s) - physics , dark energy , cosmic cancer database , statistical physics , scaling , dark matter , astrophysics , universe , theoretical physics , pairwise comparison , ranking (information retrieval) , cluster analysis , cold dark matter , cosmology , statistics , geometry , mathematics , machine learning , computer science
In this paper, we present a study of the cosmic flow from the point of view of how clusterings at different dynamical regimes in an expanding universe evolve according to a ‘coarse‐grained’ partitioning of their ranked energy distribution. By analysing a lambda cold dark matter cosmological simulation from the Virgo Project, we find that cosmic flows evolve in an orderly sense, when tracked from their coarse‐grained energy cells, even when non‐linearities are already developed. We show that it is possible to characterize scaling laws for the pairwise velocity distribution in terms of the energy cells, generally valid at the linear and non‐linear clustering regimes.