Issue |
A&A
Volume 698, May 2025
|
|
---|---|---|
Article Number | A191 | |
Number of page(s) | 17 | |
Section | Extragalactic astronomy | |
DOI | https://doi.org/10.1051/0004-6361/202554677 | |
Published online | 11 June 2025 |
The impact of assembly history on the X-ray detectability of halos
From galaxy groups to galaxy clusters
1
European Southern Observatory, Karl Schwarzschildstrasse 2, 85748
Garching bei München, Germany
2
Excellence Cluster ORIGINS, Boltzmannstr. 2, D-85748
Garching bei München, Germany
3
Universitäts-Sternwarte, Fakultät für Physik, Ludwig-Maximilians-Universität München, Scheinerstr.1, 81679
München, Germany
4
Max-Planck-Institut für Astrophysik, Karl-Schwarzschildstr. 1, 85741
Garching bei München, Germany
5
INAF – Osservatorio Astronomico di Trieste, Via Tiepolo 11, 34143
Trieste, Italy
6
IFPU – Institute for Fundamental Physics of the Universe, Via Beirut 2, I-34014
Trieste, Italy
7
INFN, Sezione di Trieste, Via Valerio 2, 34127
Trieste, TS, Italy
8
ICSC - Centro Nazionale di Ricerca in High Performance Computing, Big Data e Quantum Computing, Via Magnanelli 2, Bologna, Italy
9
Sorbonne Université, UMR7095, Institut d’Astrophysique de Paris, 98 bis Boulevard Arago, F-75014
Paris, France
10
Université Paris-Saclay, CNRS, Institut d’Astrophysique Spatiale, 91405
Orsay, France
11
International Centre for Radio Astronomy Research, University of Western Australia, M468, 35 Stirling Highway, Perth, WA, 6009
Australia
12
Department of Physics, College of Natural and Mathematical Sciences, University of Dodoma, PO Box 338
Dodoma, Tanzania
13
Max Planck Institute for Extraterrestrial Physics, Giessenbachstrasse 1, 85748
Garching, Germany
14
INAF – Osservatorio Astronomico di Brera, Via E. Bianchi 46, 23807
Merate, (LC), Italy
15
Como Lake Center for Astrophysics (CLAP), DiSAT, Università degli Studi dell’Insubria, Via Valleggio 11, I-22100
Como, Italy
⋆ Corresponding author: ilaria.marini@eso.org
Received:
21
March
2025
Accepted:
17
April
2025
Galaxy groups represent a significant fraction of the halo population, playing a crucial role in galaxy formation and evolution. However, their detection in X-rays remains challenging, raising questions about the physical mechanisms driving their detectability in current surveys. Using the Magneticum simulations, we construct a mock X-ray lightcone of the local Universe (z < 0.2) to investigate the selection function of galaxy groups and clusters. We find that the central supermassive black holes (SMBH) activity is a key driver of baryon depletion, but late-time mergers boost X-ray brightness by replenishing the gas reservoir in the halos, highlighting the interplay between feedback processes and the environment. Our analysis shows that X-ray bright groups experience sustained late-time mass accretion, maintaining higher gas fractions and fuelling the central SMBH, further increasing the X-ray emissivity in the core. In contrast, X-ray faint groups form earlier and lose most of their gas over time, resembling fossil groups. These faint groups reside preferentially in under-dense regions, unable to re-accrete efficiently baryons at later times. Magneticum predicts strong anti-correlations between gas fraction (or X-ray luminosity) and SMBH mass, stellar mass (both in the central galaxy and intracluster light), and group richness at fixed halo mass. We derive predictions on the hot gas fraction at fixed halos mass (e.g. a group of total mass M500 = 1013 M⊙ can have hot gas fractions in the range fgas = 0.02 − 0.06 and a central SMBH with a median mass of MBH = 109 M⊙ and a scatter of 0.5 dex) compatible with the most recent measurements of the baryonic fraction. These findings will aid the interpretation of future X-ray surveys, demonstrating the power of simulation-based inference.
Key words: methods: numerical / galaxies: clusters: general / galaxies: clusters: intracluster medium / galaxies: groups: general / X-rays: galaxies: clusters / X-rays: general
© 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.
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