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Journal article : Review

Spin Demographics of Active Supermassive Black Holes: Updated Estimates from X-Ray Reflection and Future Opportunities

Abstract:
Understanding the growth of supermassive black holes (SMBHs) requires observational constraints on how their angular momentum—or spin—varies with mass, since the relative importance of coherent accretion, chaotic accretion, and mergers will be reflected in SMBH spin populations. Here we present an updated compilation of reflection-based SMBH spin measurements from the literature and assemble a set of ancillary quantities of interest for each SMBH (including redshift, Eddington ratio, and X-ray luminosity). No obvious apparent correlation between the Eddington-scaled accretion rate and the black hole spin is seen, noting that formal statistical tests are beyond the scope of this review. We discuss the limitations of using this heterogeneous mass–spin sample to test predictions of SMBH growth from semi-analytic models and cosmological simulations, emphasizing the need for a more uniform sample. We then highlight the encouraging prospects enabled by the next-generation NewAthena X-ray flagship observatory. Finally, we summarize how hierarchical Bayesian population inference applied to observed SMBH mass–spin populations will constitute a powerful framework for confirming tentative mass–spin trends in future samples.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.3390/galaxies14030050

Authors

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Role:
Author
ORCID:
0000-0003-3814-6796
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Role:
Author
ORCID:
0000-0002-1510-4860
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Institution:
University of Oxford
Division:
MPLS
Department:
Physics
Sub department:
Astrophysics
Role:
Author
ORCID:
0000-0002-3493-7737
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Role:
Author
ORCID:
0000-0001-5819-3552
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Role:
Author
ORCID:
0000-0003-1661-2338


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Funder identifier:
10.13039/100000104
Grant:
NAS8-03060
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Funder identifier:
10.13039/501100000271
Grant:
ST/Y001060/1


Publisher:
MDPI
Journal:
Galaxies More from this journal
Volume:
14
Issue:
3
Pages:
50
Article number:
50
Publication date:
2026-05-15
Acceptance date:
2026-05-08
DOI:
EISSN:
2075-4434
ISSN:
2075-4434


Language:
English
Keywords:
Subtype:
Review
Source identifiers:
4211727
Deposit date:
2026-06-08
ARK identifier:
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