2026-04-14T03:09:08Zhttps://recercat.cat/oai/request

oai:recercat.cat:2117/4473742026-01-30T09:29:56Zcom_2072_1033col_2072_452950

00925njm 22002777a 4500 dc Fernandez Garcia, Elisa author Wojtak, Radoslaw author Prada, F. author Cervantes Cota, Jorge L. author Valogiannis, Georgios author Manera, Marc author Pérez Ràfols, Ignasi author 2025-09-01 Aims. We explore transformations of the Friedman-Lemaître-Robertson-Walker (FLRW) metric and cosmological parameters that align with observational data while aiming to gain insights into potential extensions of standard cosmological models. Methods. We modified the FLRW metric by introducing a scaling factor, e2T(a)–the cosmological scaling function (CSF), which alters the standard relationship between cosmological redshift and the cosmic scale factor without affecting angular measurements or cosmic microwave background (CMB) anisotropies. Using data from DESI Year 1, Pantheon+ supernovae, and the Planck CMB temperature power spectrum, we constrained both the CSF and cosmological parameters through a Markov chain Monte Carlo approach. Results. Our results indicate that the CSF model fits observational data with a lower Hubble constant (although it is compatible with the value given by Planck 2018 within 1s) and is predominantly dark matter dominated. Additionally, the CSF model produces temperature and lensing power spectra similar to those predicted by the standard model, though with lower values in the CSF model at large scales. We also checked that when fitting a CSF model without dark energy to the data, we obtain a more negative conformal function. This suggests that the CSF model may offer hints about missing elements and opens up a new avenue for exploring physical interpretations of cosmic acceleration. Postprint (published version) Àrees temàtiques de la UPC::Física::Astronomia i astrofísica Cosmological parameters Cosmology: observations Cosmology: theory Dark matter Dark energy Large-scale structure of Universe Missing components in ΛCDM from DESI Y1 baryonic acoustic oscillation measurements: Insights from redshift remapping