On the inadequacy of N-point correlation functions to describe nonlinear cosmological fields: Explicit examples and connection to simulations

45Citations
Citations of this article
26Readers
Mendeley users who have this article in their library.

Abstract

Motivated by recent results on lognormal statistics showing that the moment hierarchy of a lognormal variable completely fails at capturing its information content in the large variance regime, in this work we discuss the inadequacy of the hierarchy of correlation functions to describe a correlated lognormal field, which provides a roughly accurate description of the nonlinear cosmological matter density field. We present families of fields having the same hierarchy of correlation functions than the lognormal field at all orders. This explicitly demonstrates the little studied though known fact that the correlation function hierarchy never provides a complete description of a lognormal field, and that it fails to capture information in the nonlinear regime, where other simple observables are left totally unconstrained. We discuss why perturbative, Edgeworth-like approaches to statistics in the nonlinear regime, common in cosmology, can never reproduce or predict that effect, and why it is, however, generic for tailed fields, hinting at a breakdown of the perturbation theory based on the field fluctuations. We make a rough but successful quantitative connection to N-body simulations results that showed that the spectrum of the log-density field carries more information than the spectrum of the field entering the nonlinear regime. © 2012. The American Astronomical Society. All rights reserved.

Cite

CITATION STYLE

APA

Carron, J., & Neyrinck, M. C. (2012). On the inadequacy of N-point correlation functions to describe nonlinear cosmological fields: Explicit examples and connection to simulations. Astrophysical Journal, 750(1). https://doi.org/10.1088/0004-637X/750/1/28

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free