| Issue |
A&A
Volume 703, November 2025
|
|
|---|---|---|
| Article Number | A26 | |
| Number of page(s) | 27 | |
| Section | Cosmology (including clusters of galaxies) | |
| DOI | https://doi.org/10.1051/0004-6361/202555727 | |
| Published online | 04 November 2025 | |
Cosmography via stellar archaeology of low-redshift early-type galaxies from SDSS
1
Scuola Internazionale Superiore di Studi Avanzati (SISSA), Via Bonomea 265, 34136 Trieste (TS), Italy
2
Institute for Fundamental Physics of the Universe (IFPU), Via Beirut 2, 34014 Trieste, Italy
3
Universitat Heidelberg, Zentrum fur Astronomie, Institut fur theoretische Astrophysik, Albert-Ueberle-Str. 3, 69120 Heidelberg, Germany
4
Department of Physics, University of Trento, Via Sommarive 14, 38123 Povo (TN), Italy
5
IRA-INAF, Via Gobetti 101, 40129 Bologna, Italy
6
INFN-Sezione di Trieste, Via Valerio 2, 34127 Trieste, Italy
7
Purple Mountain Observatory, Chinese Academy of Sciences, Nanjing 210023, PR China
⋆ Corresponding author: calonsoa@sissa.it
Received:
29
May
2025
Accepted:
1
September
2025
Context. Cosmic chronometers offer a model-independent way to trace the expansion history of the Universe via the dating of passively evolving objects. This enables testing the validity of cosmological models without concrete assumptions about their energy content.
Aims. The main goal of this work is to derive model-independent constraints on the Hubble parameter up to z ∼ 0.4 using stellar ages from the fitting of Lick index absorption lines in passively evolving galaxies. Contrary to recent, related studies that rely on finite differences to obtain a discrete measurement of the expansion of the Universe at an average redshift, our goal is to perform a cosmographic fit of H(z) in terms of the Hubble constant (H0) and the deceleration (q0) and jerk (j0) parameters.
Methods. We carefully selected spectra of massive and passively evolving galaxies from the SDSS Legacy Survey. After applying a stacking procedure to ensure a high S/N, the strength of Lick indices was fitted using two stellar population models (TMJ and Knowles) to derive stellar population parameters. A cosmographic fit to the stellar ages was performed, which in turn enabled the sampling of the Hubble parameter within the considered redshift range.
Results. The baseline result comes from using the TMJ-modelled ages, and it yields a value of H0 = 70.0+4.1−7.6 km s−1 Mpc−1 for the Hubble constant, where uncertainties refer only to the statistical treatment of the data. The sampling of the Hubble parameter at 0.05 < z < 0.35 is competitive with discrete model-independent measurements from the literature. As a by-product of the Lick index fitting procedure, we provide scaling and dispersion relations of stellar population parameters with respect to velocity dispersion using the low-redshift end of our sample. We finally draw attention to an unexpected oscillating pattern in a number of critical indices with respect to redshift, which translates into a similar behaviour in the t − z relations. These features have never been discussed before, although they are present in previous measurements. We show that they do not originate from our methodology, suggesting a possible origin in the data reduction process.
Key words: galaxies: elliptical and lenticular / cD / galaxies: evolution / cosmological parameters / cosmology: observations / dark energy
© The Authors 2025
Open Access article, published by EDP Sciences, under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
This article is published in open access under the Subscribe to Open model. Subscribe to A&A to support open access publication.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.