A Simple Method for Computing the Nonlinear Mass Correlation Function with Implications for Stable Clustering
Author(s) -
R. R. Caldwell,
R. Juszkiewicz,
Paul J. Steinhardt,
F. R. Bouchet
Publication year - 2001
Publication title -
the astrophysical journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.376
H-Index - 489
eISSN - 1538-4357
pISSN - 0004-637X
DOI - 10.1086/318914
Subject(s) - physics , statistical physics , correlation function (quantum field theory) , pairwise comparison , function (biology) , simple (philosophy) , nonlinear system , cluster analysis , dark matter , galaxy , astrophysics , quantum mechanics , statistics , mathematics , philosophy , epistemology , evolutionary biology , biology , dielectric
We propose a simple and accurate method for computing analytically the masscorrelation function for cold dark matter and scale-free models that fitsN-body simulations over a range that extends from the linear to the stronglynon-linear regime. The method, based on the dynamical evolution of the pairconservation equation, relies on a universal relation between the pair-wisevelocity and the smoothed correlation function valid for high and low densitymodels, as derived empirically from N-body simulations. An intriguingalternative relation, based on the stable-clustering hypothesis, predicts apower-law behavior of the mass correlation function that disagrees with N-bodysimulations but conforms well to the observed galaxy correlation function ifnegligible bias is assumed. The method is a useful tool for rapidly exploring awide span of models and, at the same time, raises new questions about largescale structure formation.Comment: 10 pages, 3 figure
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