Luminosity distance and anisotropic sky-sampling at low redshifts: a numerical relativity study
Hayley J. Macpherson, Asta Heinesen

TL;DR
This study uses numerical relativity to analyze low-redshift luminosity distances without assuming homogeneity or isotropy, revealing significant sky-variance effects that could impact cosmological conclusions.
Contribution
It introduces a model-independent framework for analyzing low-redshift cosmology using numerical relativity simulations, accounting for anisotropies and sky-sampling effects.
Findings
0.6% and 4% cosmic variance in Hubble and deceleration parameters with fair sky sampling
Maximal sky-variance of 2% and 120% in these parameters for typical observers
Anisotropy effects are significant for accurate low-redshift cosmological analysis
Abstract
Most cosmological data analysis today relies on the Friedmann-Lemaitre-Robertson-Walker (FLRW) metric, providing the basis of the current standard cosmological model. Within this framework, interesting tensions between our increasingly precise data and theoretical predictions are coming to light. It is therefore reasonable to explore the potential for cosmological analysis outside of the exact FLRW cosmological framework. In this work we adopt the general luminosity-distance series expansion in redshift with no assumptions of homogeneity or isotropy. This framework will allow for a full model-independent analysis of near-future low-redshift cosmological surveys. We calculate the effective observational 'Hubble', 'deceleration', 'curvature' and 'jerk' parameters of the luminosity-distance series expansion in numerical relativity simulations of realistic structure formation, for observers…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
