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Record W4415155295 · doi:10.1051/0004-6361/202450190

The X-ray statistical properties of dust-obscured galaxies detected by eROSITA

2025· article· en· W4415155295 on OpenAlexfundno aff
Akatoki Noboriguchi, Kohei Ichikawa, Yoshiki Toba, T. Dwelly, Kohei Inayoshi, Toshihiro Kawaguchi, Teng Liu, Yuichi Terashima, Y. Ueda, Masayuki Akiyama, M. Brusa, Johannes Büchner, Kotaro Kohno, A. Merloni, Tohru Nagao, M. Salvato, Hyewon Suh, T. Urrutia

Bibliographic record

VenueAstronomy and Astrophysics · 2025
Typearticle
Languageen
FieldPhysics and Astronomy
TopicGalaxies: Formation, Evolution, Phenomena
Canadian institutionsnot available
FundersSLAC National Accelerator LaboratoryArgonne National LaboratoryPlanetary Science DivisionHigh Energy PhysicsDivision of Astronomical SciencesRussian Academy of SciencesEberhard Karls Universität TübingenScience and Technology Facilities CouncilLeibniz-GemeinschaftScience Mission DirectorateSmithsonian Astrophysical ObservatoryLawrence Berkeley National LaboratoryJet Propulsion LaboratoryLeibniz-Institut für Astrophysik PotsdamEötvös Loránd TudományegyetemCabinet Office, Government of JapanUniversity of Illinois at Urbana-ChampaignFermilabMax-Planck-Institut für AstronomieRheinische Friedrich-Wilhelms-Universität BonnNational Astronomical Observatory of JapanMax-Planck-GesellschaftDeutsche ForschungsgemeinschaftChinese Academy of SciencesAcademia SinicaOffice of ScienceIntegrated Electronics Engineering Center, Binghamton UniversityJapan Society for the Promotion of ScienceQueen's UniversityUniversity of EdinburghMinistry of Education, Culture, Sports, Science and TechnologyNational Central UniversitySpace Telescope Science InstituteUniversity of SussexUniversity of NottinghamNational Aeronautics and Space AdministrationUniversity College LondonQueen's University BelfastUniversity of CambridgeUniversity of ChicagoNational Energy Research Scientific Computing CenterUniversity of California, Los AngelesUniversity of PortsmouthPrinceton UniversityJohns Hopkins UniversityToray Science FoundationHigh Energy Accelerator Research OrganizationOhio State UniversityJapan Science and Technology AgencyUniversität HamburgCalifornia Institute of TechnologySmithsonian InstitutionU.S. Department of EnergyNational Science FoundationUniversity of MichiganFinanciadora de Estudos e ProjetosUniversity of PennsylvaniaDurham University
KeywordsSupermassive black holeGalaxyActive galactic nucleusQuasarStatistical analysisGalactic nucleiVirgo Cluster

Abstract

Context. The tight correlation between supermassive black hole (SMBH) and host galaxy masses suggests their coevolution. Dust-obscured galaxies (DOGs) are thought to represent this coevolution phase, with active galactic nuclei (AGNs) buried in dust and gas. Despite hosting rapidly growing SMBHs, the X-ray statistical properties of DOGs remain poorly understood due to their rarity and the lack of wide, uniformly sensitive X-ray surveys. Aims. We construct a sample of X-ray-detected DOGs in the eROSITA Final Equatorial Depth Survey (eFEDS) field and examine their X-ray statistical properties. Methods. To construct the DOGs sample, we combined data from the Subaru/HSC SSP (optical), VIKING (near-infrared), and WISE (mid-infrared) all-sky surveys. We then cross-matched the sample with eROSITA -detected sources to select X-ray-detected DOGs. Results. We report the discovery of 5738 IR-bright DOGs within the 60 deg 2 area covered by both eFEDS and VIKING, including 65 X-ray-detected DOGs (eFEDS-DOGs). Among these, 41 eFEDS-DOGs exhibit a near- to mid-IR power-law slope, indicating dust-obscured AGNs. Hydrogen column densities ( N H ) of eFEDS-DOGs span 10 20 < N H /cm −2 ≲ 10 23 , including even unobscured AGNs. Most IR-bright DOGs remain undetected in X-rays, implying heavy obscuration ( N H /cm −2 > 10 23 ). eFEDS-DOGs, identified via the wide-area eROSITA survey, represent a less obscured DOG phase, possibly tracing the decline of dust/gas obscuration due to AGN feedback such as gas stripping or outflows. Some eFEDS-DOGs deviate up to ∼1 dex below the L 6 μm – L 0.5 − 2 keV (abs, corr) relation, potentially indicating high Eddington ratios near the Eddington limit. This suggests that eFEDS-DOGs are promising candidates for rapidly growing black holes in an early AGN feedback phase.

Stored with the screening record, where it is evidence for the labels above.

How this classification was reachedexpand

The three-model screen

all 5,600 screened works →

All three models called this out of scope.

stratum: fund_new · design weight: 1678.90 (the sample is stratified; any rate computed without the weight is wrong)
Claude Opus 4.8OUT
genre: empirical
about Canada: no
confidence: high

Astronomy study of the X-ray properties of dust-obscured galaxies in eROSITA data.

GPT-5.6 (high)OUT
genre: empirical
about Canada: no
confidence: high

It studies the X-ray properties of dust-obscured galaxies, not research itself.

Grok 4.5OUT
genre: empirical
about Canada: no
confidence: high

Astronomy study of X-ray properties of dust-obscured galaxies; domain astrophysics.

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 score0.003
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.005
GPT teacher head0.188
Teacher spread0.183 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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