English

Theoretical and numerical perspectives on cosmic distance averages

Cosmology and Nongalactic Astrophysics 2021-11-24 v2 General Relativity and Quantum Cosmology

Abstract

The interpretation of cosmological observations relies on a notion of an average Universe, which is usually considered as the homogeneous and isotropic Friedmann-Lema\^itre-Robertson-Walker (FLRW) model. However, inhomogeneities may statistically bias the observational averages with respect to FLRW, notably for distance measurements, due to a number of effects such as gravitational lensing and redshift perturbations. In this article, we review the main known theoretical results on average distance measures in cosmology, based on second-order perturbation theory, and we fill in some of their gaps. We then comprehensively test these theoretical predictions against ray tracing in a high-resolution dark-matter NN-body simulation. This method allows us to describe the effect of small-scale inhomogeneities deep into the non-linear regime of structure formation on light propagation up to z=10z=10. We find that numerical results are in remarkably good agreement with theoretical predictions in the limit of super-sample variance. No unexpectedly large bias originates from very small scales, whose effect is fully encoded in the non-linear power spectrum. Specifically, the directional average of the inverse amplification and the source-averaged amplification are compatible with unity; the change in area of surfaces of constant cosmic time is compatible with zero; the biases on other distance measures, which can reach slightly less than 1%1\% at high redshift, are well understood. As a side product, we also confront the predictions of the recent finite-beam formalism with numerical data and find excellent agreement.

Keywords

Cite

@article{arxiv.2012.07802,
  title  = {Theoretical and numerical perspectives on cosmic distance averages},
  author = {Michel-Andrès Breton and Pierre Fleury},
  journal= {arXiv preprint arXiv:2012.07802},
  year   = {2021}
}

Comments

21+8 pages, 23 figures. Accepted version

R2 v1 2026-06-23T20:57:51.637Z