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Record W4413160671 · doi:10.1093/mnras/staf1338

WISDOM Project–XXVI. Cross-checking supermassive black hole mass estimates from ALMA CO gas kinematics and SINFONI stellar kinematics in the galaxy NGC 4751

2025· article· en· W4413160671 on OpenAlexfundno aff
Pandora Dominiak, Michele Cappellari, Martin Bureau, Timothy A. Davis, M. Sarzi, Ilaria Ruffa, Satoru Iguchi, Thomas G. Williams, Hengyue Zhang

Bibliographic record

VenueMonthly Notices of the Royal Astronomical Society · 2025
Typearticle
Languageen
FieldPhysics and Astronomy
TopicGalaxies: Formation, Evolution, Phenomena
Canadian institutionsnot available
FundersNational Institutes of Natural SciencesAlberta Livestock and Meat AgencyEuropean School of OncologyU.S. Nuclear Regulatory CommissionScience and Technology Facilities CouncilNational Science Foundation
KeywordsPhysicsSupermassive black holeAstrophysicsGalaxyKinematicsStellar kinematicsAstronomyBlack hole (networking)Milky Way

Abstract

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ABSTRACT We present high angular resolution (0.19 arcsec or $\approx 24$ pc) Atacama Large Millimeter/submillimeter Array observations of the $^{12}$CO(3–2) line emission of the galaxy NGC 4751. The data provide evidence for the presence of a central supermassive black hole (SMBH). Assuming a constant mass-to-light ratio ($M/L$), we infer a SMBH mass $M_\text{BH}=3.43^{+0.45}_{-0.44}[\text{stat},\, 3\sigma ]^{+0.22}_{-0.64}[\text{sys}]\times 10^9$ M$_\odot$ and a F160W filter stellar $M/L_\text{F160W}=2.68\pm 0.11[\text{stat},\, 3\sigma ]^{+0.10}_{-0.80}[\text{sys}]$ M$_\odot$/L$_{\odot ,\text{F160W}}$, where the first uncertainties are statistical and the second systematic. Assuming a linearly spatially varying $M/L$, we infer $M_\text{BH}=2.79^{+0.75}_{-0.57}[\text{stat},\, 3\sigma ]^{+0.75}_{-0.45}[\text{syst}]\times 10^9$ M$_\odot$ and $\left(M/L_\text{F160W}\right)/\left(\text{M}_\odot /\text{L}_{\odot ,\text{F160W}}\right)=3.07^{+0.27}_{-0.35}[\text{stat},\, 3\sigma ]^{+0.08}_{-1.14}[\text{sys}]-0.09^{+0.08}_{-0.06}[\text{stat},\, 3\sigma ]^{+0.08}_{-0.01}[\text{sys}]\, \left(R/\text{arcsec}\right)$, where R is the galactocentric radius. We also present SMBH mass estimates using the Jeans Anisotropic Modelling (JAM) method and Very Large Telescope Spectrograph for INtegral Field Observations in the Near Infrared (SINFONI) stellar kinematics. Assuming a cylindrically aligned velocity ellipsoid (JAM$_\text{cyl}$), we infer $M_\text{BH}=(2.52\pm 0.36)\times 10^9$ M$_\odot$, and while assuming a spherically aligned velocity ellipsoid (JAM$_\text{sph}$), we infer $M_\text{BH}=(3.24\pm 0.87)\times 10^9$ M$_\odot$. The SMBH mass assuming a constant $M/L$ is statistically consistent with that of JAM$_\text{sph}$, whereas the mass assuming a linearly varying $M/L$ is consistent with both JAM$_\text{cyl}$ and JAM$_\text{sph}$ (within the uncertainties). Our derived masses are larger than (and inconsistent with) one previous stellar dynamical measurement using the Schwarzschild orbit-superposition method and the same SINFONI kinematics.

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)0.003
metaresearch head score (Gemma)0.006
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.035
Threshold uncertainty score0.117

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0010.000
Scholarly communication0.0030.001
Open science0.0010.002
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0350.027

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 head0.009
GPT teacher head0.239
Teacher spread0.230 · 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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