| Issue |
A&A
Volume 706, February 2026
|
|
|---|---|---|
| Article Number | A144 | |
| Number of page(s) | 21 | |
| Section | Catalogs and data | |
| DOI | https://doi.org/10.1051/0004-6361/202449408 | |
| Published online | 09 February 2026 | |
The SRG/eROSITA all-sky survey: Hard X-ray selected active galactic nuclei
1
Max-Planck-Institut für extraterrestrische Physik,
Giessenbachstrasse 1,
85748
Garching,
Germany
2
Department of Astronomy, University of Geneva,
Ch. d’Ecogia 16,
1290
Versoix,
Switzerland
3
Exzellenzcluster ORIGINS,
Boltzmannstr. 2,
85748
Garching,
Germany
4
Max-Planck Institut für Astronomie,
Königstuhl 17,
69177
Heidelberg,
Germany
5
Dipartimento di Fisica e Astronomia “Augusto Righi”, Alma Mater Studiorum Università di Bologna,
via Gobetti 93/2,
40129
Bologna,
Italy
6
INAF-Osservatorio di Astrofisica e Scienza dello Spazio di Bologna,
via Gobetti 93/3,
40129
Bologna,
Italy
★ Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
Received:
30
January
2024
Accepted:
13
January
2025
Context. The eROSITA instrument on board the Spectrum Roentgen Gamma (SRG) satellite performed its first all-sky survey between December 2019 and June 2020. This paper presents the resulting hard X-ray (2.3–5 keV) sample, the first created from an all-sky imaging survey in this energy range, for sources within the western galactic sky (eROSITA-DE).
Aims. We produced a large uniform sample of hard-X-ray selected active galactic nuclei (AGN), and characterised them with supporting multi-wavelength astrometry, photometry, and spectroscopy. For the 2863 sources within the sky coverage of the DESI imaging Legacy Survey Data Release 10 (LS10; >15 000 deg2), counterparts were identified and classified. We also performed comparisons with the Swift BAT sample and HEAO-1 AGN sample to attempt to better understand the effectiveness and sensitivity of eROSITA in the hard band.
Methods. The 5466 hard X-ray selected sources detected with eROSITA are presented and discussed here. The Bayesian statistics-based code NWAY was used to identify the counterparts for the X-ray sources. These sources were classified based on their multi-wavelength properties, and the literature was searched to identify spectroscopic redshifts, which further inform the source classification. A total of 2547 sources were found to have good-quality counterparts, and 111 of these have been detected only in the hard band. The median redshift of the extragalactic sources is ~0.19.
Results. Compared with other hard X-ray selected surveys, the eROSITA hard sample covers a larger redshift range and probes dimmer sources, providing a complementary and expanded sample as compared to Swift BAT. Examining the column density distribution of missed and detected eROSITA sources present in the follow-up catalogue of Swift BAT 70 month sources, it is demonstrated that eROSITA can detect obscured sources with column densities >1023 cm−2 corresponding to ~14% of the full sample, but that the completeness drops rapidly thereafter. A sample of hard-only sources, many of which are likely to be obscured AGN with column densities ~1023 cm−2, is also presented and discussed. We caution that a large number of hard-only sources are believed to be spurious, based on simulations, and that additional cuts on counterpart quality or requiring spectroscopic redshifts should be applied to use this sample. X-ray spectral fitting reveals that these sources have extremely faint soft X-ray emission and their optical images suggest that they are found in more edge-on galaxies with lower b/a.
Conclusions. The first eROSITA all-sky survey provided the first imaging survey above 2 keV, and the resulting X-ray catalogue has been demonstrated to be a powerful tool for understanding AGN, in particular the heavily obscured AGN found in the hard-only sample.
Key words: galaxies: active / quasars: general / galaxies: Seyfert
© The Authors 2026
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.
Open Access funding provided by Max Planck Society.
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