| Issue |
A&A
Volume 701, September 2025
|
|
|---|---|---|
| Article Number | A144 | |
| Number of page(s) | 26 | |
| Section | Extragalactic astronomy | |
| DOI | https://doi.org/10.1051/0004-6361/202554737 | |
| Published online | 12 September 2025 | |
The average soft X-ray spectra of eROSITA active galactic nuclei
1
Max-Planck-Institut für Extraterrestrische Physik (MPE), Giessenbachstrasse 1, 85748 Garching bei München, Germany
2
Department of Astronomy, University of Science and Technology of China, Hefei 230026, People’s Republic of China
3
School of Astronomy and Space Science, University of Science and Technology of China, Hefei 230026, People’s Republic of China
4
Centre for Extragalactic Astronomy, Department of Physics, Durham University, South Road, Durham DH1 3LE, UK
5
Department of Physics and McGill Space Institute, McGill University, 3600 University Street, Montreal, QC H3A 2T8, Canada
6
Exzellenzcluster ORIGINS, Boltzmannstr. 2, 85748 Garching, Germany
7
Department of Astronomy, School of Physics, Peking University, Beijing 100871, China
8
Kavli Institute for Astronomy and Astrophysics, Peking University, Beijing 100871, China
9
Institute for Astronomy & Astrophysics, National Observatory of Athens, V. Paulou & I. Metaxa, 11532 Athens, Greece
⋆ Corresponding author: csj666@mail.ustc.edu.cn
Received:
25
March
2025
Accepted:
24
June
2025
Context. Active galactic nuclei (AGN) stand as extreme X-ray emitters where disk-corona interplay shapes their spectral energy distribution. The soft X-ray excess, a unique feature of AGN in the 0.5 − 2.0 keV, encodes critical information on the “warm corona” structure bridging the disk and hot corona. However, the systematic evolution of this feature with fundamental accretion parameters in large AGN samples – particularly those studied through the spectral stacking technique – remains observationally unconstrained.
Aims. The eROSITA All-Sky Survey (eRASS:5) provides an unprecedented sample to statistically map AGN spectral properties. We present a multiwavelength investigation of how the average AGN X-ray spectra evolve with accretion parameters (αox, LUV, λEdd, MBH), and we explore the disk-corona connection by further combining stacked UV data.
Methods. We have developed Xstack, a novel X-ray spectral stacking code that consistently stacks rest-frame pulse invariant (PI) spectra and associated responses using optimized response weighting to preserve spectral shapes. With Xstack, we stacked 17 929 AGNs (“spec-z” sample, total exposure ∼23 Ms) with similar X-ray loudness, αox, and UV luminosity, LUV, and 4159 AGNs (“BH-mass” sample, ∼3 Ms) with similar Eddington ratios, λEdd, and black hole masses, MBH. We analyzed the resulting stacked X-ray spectra with a phenomenological model for both samples. We further fit the stacked optical-UV X-ray SED with the physical AGNSED model on a 3 × 3 MBH – λEdd grid.
Results. We observed that the soft excess strength rises strongly with increasing αox and λEdd binning (by a factor of five), while the hard X-ray spectral shape remains largely unchanged, consistent with the interpretation that soft excess is primarily driven by the warm corona rather than reflection. The trends are weaker with LUV binning and reversed for MBH binning. The analysis of the optical-UV X-ray SEDs with AGNSED revealed that the warm corona radius (in units of Rg) generally increases with λEdd and decreases with MBH, or equivalently the disk-to-warm-corona transition consistently occurs near ∼1 × 104 K. The hot corona contracts with λEdd, and the radius remains independent of MBH, aligning with disk evaporation predictions.
Conclusions. The soft excess is likely warm-corona dominated, with the disk-to-warm-corona transition potentially linked to hydrogen ionization instability at ∼1 × 104 K, which is consistent with previous work utilizing eFEDS-HSC stacked data. Our work highlights the power of spectral stacking for revealing the AGN disk-corona connection.
Key words: galaxies: active / X-rays: 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.
Open Access funding provided by Max Planck Society.
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