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Record W4410111584 · doi:10.1051/0004-6361/202554749

Searching for supermassive black hole binaries within SRG/eROSITA-De

2025· article· en· W4410111584 on OpenAlexfundno aff
D. Tubín-Arenas, M. Krumpe, D. Homan, A. Markowitz, Meredith C. Powell, G. Lamer, T. Urrutia, A. Schwope, Hartmut Winkler, S. Bahic, Johannes Büchner, Carolina Andonie, M. Salvato, A. Merloni, J. Kurpas, S. Ciroi, F. Di Mille, Avinash Chaturvedi, A. Rau, Z. Igo, I. Grotova, Teng Liu, K. Nandra

Bibliographic record

VenueAstronomy and Astrophysics · 2025
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAstrophysical Phenomena and Observations
Canadian institutionsnot available
FundersArgonne National LaboratoryIntegrated Electronics Engineering Center, Binghamton UniversityRussian Academy of SciencesScience and Technology Facilities CouncilJet Propulsion LaboratoryLeibniz-Institut für Astrophysik PotsdamUniversity of Illinois at Urbana-ChampaignRheinische Friedrich-Wilhelms-Universität BonnNuclear Safety and Security CommissionChinese Academy of SciencesHigh Energy PhysicsDeutsche ForschungsgemeinschaftOffice of ScienceUniversity of EdinburghNarodowe Centrum NaukiUniversity of SussexUniversity of NottinghamNational Aeronautics and Space AdministrationUniversity College LondonQueen's University BelfastUniversity of CambridgeNational Energy Research Scientific Computing CenterSpace Telescope Science InstituteEberhard Karls Universität TübingenUniversity of PortsmouthSLAC National Accelerator LaboratoryQueen's UniversityMax-Planck-GesellschaftUniversity of LeicesterOhio State UniversityLawrence Berkeley National LaboratoryDivision of Astronomical SciencesFinanciadora de Estudos e ProjetosUniversity of PennsylvaniaLeibniz-GemeinschaftUniversity of MichiganUniversität HamburgCalifornia Institute of TechnologyU.S. Department of EnergyUniversity of ChicagoUniversity of CaliforniaFermilabNational Science Foundation
KeywordsPhysicsSupermassive black holeAstrophysicsAstronomyX-rayBlack hole (networking)GalaxyOptics

Abstract

fetched live from OpenAlex

Context. Supermassive black hole binaries (SMBHBs) with separations on (sub)pc scales represent one of the latest stages of hierarchical galaxy assembly. However, many of these objects are hidden behind large columns of gas and dust at the centers of galaxies and are difficult to detect. In these systems, accretion is expected to take the form of two individual accretion disks around the individual black holes, fed by a larger circumbinary disk. The X-ray and UV emission in these systems are predicted to vary regularly on timescales that are comparable to that of the orbital period of the binary. Aims. This is the first of a series of papers where we continue to search for and characterize SMBHB candidates based on quasiperiodic light curves from the soft X-ray instrument eROSITA on board the Spectrum-Roentgen-Gamma (SRG) observatory and extensive X-ray follow-up. Methods. We searched the multi-epoch SRG/eROSITA all-sky surveys for extragalactic sources that show an “up-down-up-down” or “down-up-down-up” profile (from scan to scan) in their 0.2–2.3 keV flux light curves. We selected sources where the “up” and “down” flux levels vary by at least 3σ. The “down” states were also allowed to correspond to nondetections. We excluded stellar objects, blazars, and radio-loud active galactic nuclei (AGNs) via Gaia DR3 parallaxes and proper motions. We also carried out a visual inspection of the images drawn from the Legacy Survey DR10 and the SIMBAD database. Results. We compiled a sample of 16 sources that are suitable for X-ray follow-up campaigns given their brightness and significant variability between bright and faint SRG/eROSITA flux levels. We triggered extensive Swift-XRT and NICER monitoring campaigns on the best SMBHB candidates to confirm or discard their tentative periodicities. Optical spectroscopic observations confirmed the nuclear and extragalactic nature of 15/16 objects and enabled single-epoch SMBH mass measurements and BPT classifications of the dominant ionization in the host galaxy. Our most promising candidate, eRASSt J0530-4125, exhibits X-ray quasi-periodic variability with a typical time scale of one year in the observed frame. By stacking the X-ray observations of each source in our sample, we found that 14 out of the 15 sources can be modeled by a power law with a photon index ranging from Γ∼1.8−2.8. Based on our selection, we estimate an optimistic upper limit on the fraction of SMBHB candidates to be ∼0.05 per galaxy. We emphasize that further observational evidence is needed to confirm the SMBHB nature of our sources.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.011
GPT teacher head0.243
Teacher spread0.232 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2025
Admission routes1
Has abstractyes

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