Theoretical and numerical perspectives on cosmic distance averages
Michel-Andr\`es Breton, Pierre Fleury

TL;DR
This paper reviews theoretical predictions and tests them against high-resolution simulations to understand how small-scale inhomogeneities bias cosmological distance measurements, finding good agreement and quantifying biases up to 1% at high redshift.
Contribution
It provides a comprehensive comparison of second-order perturbation theory predictions with ray-tracing simulations for cosmic distance measures, including non-linear effects.
Findings
Numerical results agree well with theoretical predictions in the super-sample variance limit.
Small-scale inhomogeneities do not cause unexpectedly large biases in distance measures.
Biases on certain distance measures can reach just under 1% at high redshift.
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 -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…
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