Issue |
A&A
Volume 697, May 2025
|
|
---|---|---|
Article Number | A81 | |
Number of page(s) | 15 | |
Section | Extragalactic astronomy | |
DOI | https://doi.org/10.1051/0004-6361/202453331 | |
Published online | 07 May 2025 |
SEMPER
I. A novel semi-empirical model for the radio emission of star-forming galaxies at 0 < z < 5
1
INAF – Istituto di Radioastronomia, Via Gobetti 101, 40129 Bologna, Italy
2
Scuola Internazionale Superiore di Studi Avanzati, Via Bonomea 265, 34136 Trieste, Italy
3
Dipartimento di Fisica e Astronomia “G. Galilei”, Università di Padova, Via Marzolo 8, 35131 Padova, Italy
4
INAF – Istituto di Radioastronomia – Italian ALMA Regional Centre, Via Gobetti 101, 40129 Bologna, Italy
5
IFPU – Institute for Fundamental Physics of the Universe, Via Beirut 2, 34014 Trieste, Italy
6
INFN-Sezione di Trieste, Via Valerio 2, 34127 Trieste, Italy
7
Dipartimento di Fisica e Astronomia “G. Galilei”, Università di Padova, Via Marzolo 8, 35131 Padova, Italy
8
INAF, Osservatorio Astronomico di Padova, Vicolo dell’Osservatorio 5, 35122 Padova, Italy
9
Universität Heidelberg, Zentrum für Astronomie, Institut für Theoretische Astrophysik, Albert-Ueberle-Str. 3, 69120 Heidelberg, Germany
10
Leiden Observatory, Leiden University, PO Box 9513 NL-2300 RA Leiden, The Netherlands
⋆ Corresponding author: m.giulietti@ira.inaf.it
Received:
6
December
2024
Accepted:
24
March
2025
Context. Star-forming galaxies (SFGs) are the dominant population in the faint radio sky, corresponding to flux densities at 1.4 GHz < 0.1 mJy. A panchromatic approach is essential for selecting SFGs in the radio band and understanding star formation processes over cosmic time. Semi-empirical models are valuable tools to effectively study galaxy formation and evolution, relying on minimal assumptions and exploiting empirical relations between galaxy properties and enabling us to take full advantage of the recent progress in radio and optical/near-infrared (NIR) observations.
Aims. In this paper, we develop the Semi-EMPirical model for Extragalactic Radio emission (SEMPER) to predict radio luminosity functions and number counts at 1.4 GHz and 150 MHz for SFGs. SEMPER is based on state-of-the-art empirical relations, with the goal of better understanding the radio properties of high-z, massive galaxy populations.
Methods. We combine the redshift-dependent galaxy stellar mass functions obtained from the recent COSMOS2020 catalogue, which exploits deep NIR observations, with up-to-date observed scaling relations such as the galaxy main sequence and the mass-dependent far-infrared/radio correlation across cosmic time. Our luminosity functions are compared with recent observational determinations from the Very Large Array (JVLA), the Low-Frequency Array (LOFAR), the Westerbork Synthesis Radio Telescope (WSRT), the Giant Metrewave Radio Telescope (GMRT) and the Australian Telescope Compact Array (ATCA), along with previous semi-empirical models and simulations.
Results. Our semi-empirical model successfully reproduces the observed luminosity functions at 1.4 GHz and 150 MHz up to z ∼ 5 and the most recent number count statistics from radio observations in the LOFAR Two-metre Sky Survey (LoTSS) deep fields. Our model, based on galaxies selected in the NIR, naturally predicts the presence of radio-selected massive and/or dust-obscured galaxies already in place at high redshift (z ≳ 3.5), as suggested by recent results from the James Webb Space Telescope (JWST). Our predictions offer an excellent benchmark for upcoming updates from JWST and future ultra-deep radio surveys planned with the Square Kilometre Array (SKA) and its precursors.
Key words: galaxies: luminosity function / mass function / radio continuum: galaxies
© 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.