Improved late-time fits with wavelet extensions of ΛCDM
ABSTRACT We parametrize the Hubble function by adding Hermitian wavelets to the Hubble radius of $\Lambda$ cold dark matter ($\Lambda$CDM). This construction enables the Hubble function to oscillate around $\Lambda$CDM at late times while preserving the angular diameter distance to the last scattering. We perform parameter inference and model selection at the background level using a wide range of cosmological observations. We find that baryon acoustic oscillation (BAO) data play a central role in constraining the wavelet parameters. In particular, we focus on the differences between SDSS and DESI BAO data sets. Wavelet models consistently provide a better fit when either BAO data set is included. DESI-BAO prefers wavelets centred around $z \sim 0.7$, while SDSS-BAO prefers higher redshifts ($z > 1$), driven by discrepancies in their $D_H / r_{\rm d}$ measurements at $z = 0.51$ and $z \sim 2.3$. We also analyse the consequences for a dynamical dark energy component derived from the wavelet modifications. The dark energy density is found to oscillate by construction and can become negative at large redshifts ($z \gtrsim 2$) in response to the SDSS-BAO data. Notably, the early Universe constraints, including those on the matter density and Hubble constant, remain essentially unchanged. Our results indicate that wavelet-based deviations are favoured in the late Universe, with DESI-BAO leading to a significant improvement of more than $3\sigma$ in the fit. These findings suggest that localized oscillatory features in the expansion history may help reconcile tensions in low-redshift data without disrupting early-Universe consistency.
Authors
- Luis A. Escamilla (ORCID: https://orcid.org/0000-0003-4334-5140)
- Emre Özülker (ORCID: https://orcid.org/0000-0003-0817-4219)
- Özgür Akarsu (ORCID: https://orcid.org/0000-0001-6917-6176)
- Eleonora Di Valentino (ORCID: https://orcid.org/0000-0001-8408-6961)
- J. Alberto Vázquez
Institutions
- Istanbul Technical University (TR)
- Universidad Autónoma del Estado de Morelos (MX)
- Universidad Nacional Autónoma de México (MX)
- University of Sheffield (GB)
Publication Details
- Journal
- Monthly Notices of the Royal Astronomical Society
- Published
- 2025-10-09
- DOI
- https://doi.org/10.1093/mnras/staf1732
- Citations
- 4
- Primary Topic
- Image and Signal Denoising Methods
- Type
- article
- Field-Weighted Citation Impact
- 5.10
Funders
- Consejo Nacional de Ciencia y Tecnología
- Türkiye Bilimsel ve Teknolojik Araştırma Kurumu
- Türkiye Bilimler Akademisi
- Dirección General de Asuntos del Personal Académico, Universidad Nacional Autónoma de México