Model-independent constraints on generalized FLRW consistency relations with bootstrap-based symbolic regression
S. M. Koksbang, A. Heinesen

TL;DR
This paper introduces a model-independent, bootstrap-based symbolic regression method to test FLRW cosmology using supernova and BAO data, revealing mild deviations that could challenge standard cosmological assumptions.
Contribution
It develops a novel non-parametric reconstruction approach combining symbolic regression and bootstrapping for FLRW consistency tests from observational data.
Findings
Reconstructed density field consistent with Planck and SH0ES ΛCDM.
Detected mild to moderate deviations from FLRW at 2-4 sigma.
Current data insufficient to tightly constrain the expansion rate.
Abstract
The standard CDM cosmological model faces increasing tensions between key observations, motivating tests that probe its underlying assumptions. In a companion letter, we present a model-independent framework that combines derivatives of the angular diameter distance, , and the line-of-sight expansion rate, , to clarify the physical content of FLRW consistency relations and to construct a general-spacetime estimator of the cosmic density field. Here, we apply these tests to data, introducing a non-parametric reconstruction method based on symbolic regression combined with bootstrapping to provide data-driven uncertainty estimates. Using supernova and BAO data, we reconstruct , , and their derivatives, enabling model-independent evaluation of FLRW relations and recovery of the sky-averaged density field over .…
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.
