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Record W4416794362 · doi:10.1093/mnras/staf2117

JADES and BlackTHUNDER: rest-frame Balmer-line absorption and the local environment in a Little Red Dot at <i>z</i> = 5

2025· article· en· W4416794362 on OpenAlexaff
Francesco D’Eugenio, Ignas Juodžbalis, Xihan Ji, Jan Scholtz, R. Maiolino, Stefano Carniani, Michele Perna, Giovanni Mazzolari, Hannah Übler, Santiago Arribas, Rachana Bhatawdekar, Andrew J. Bunker, G. Cresci, Emma Curtis-Lake, Kevin Hainline, Kohei Inayoshi, Yuki Isobe, Zhiyuan Ji, Benjamin D. Johnson, Gareth C. Jones, Tobias J. Looser, Erica J. Nelson, Eleonora Parlanti, Dávid Puskás, Pierluigi Rinaldi, Brant Robertson, Bruno Rodríguez Del Pino, Irene Shivaei, Fengwu Sun, Sandro Tacchella, Giacomo Venturi, Marta Volonteri, Christina C. Williams, Christopher N. A. Willmer, Chris J. Willott, Joris Witstok

Bibliographic record

VenueMonthly Notices of the Royal Astronomical Society · 2025
Typearticle
Languageen
FieldPhysics and Astronomy
TopicGalaxies: Formation, Evolution, Phenomena
Canadian institutionsHerzberg Institute of Astrophysics
FundersH2020 European Research CouncilAgencia Estatal de InvestigaciónJapan Society for the Promotion of ScienceMinisterio de Ciencia e InnovaciónNational Natural Science Foundation of ChinaEuropean CommissionJapan Society for the Promotion of Science LondonNational Science FoundationRoyal SocietyDanmarks GrundforskningsfondUniversity of ArizonaUniversity of California, Santa CruzNational Aeronautics and Space AdministrationScience and Technology Facilities CouncilNational Research FoundationUK Research and Innovation
KeywordsAbsorption (acoustics)Velocity dispersionGalaxyDispersion (optics)IonizationSatelliteBlack hole (networking)Active galactic nucleus

Abstract

fetched live from OpenAlex

ABSTRACT We present a ‘Little Red Dot’ (LRD) broad-line active galactic nucleus (AGN) at $z=5.077 $, observed with NIRSpec/MSA (micro-shutter assembly) and NIRSpec/IFU (integral-field unit) by the JADES (JWST Advanced Deep Extragalactic Survey) and BlackTHUNDER (Black holes in THe early Universe aNd their DensE surRoundings) surveys. Combining spatially resolved and high-resolution spectroscopy, we characterize its central engine, host, and environment. H$\alpha $ has multiple components, including two broad Gaussians, yielding a black-hole mass $\log (M_{\bullet }/{\rm M}_\odot) = 7.65 $, while [O iii]$\lambda$5007 gives a galaxy dynamical mass $\log (M_\mathrm{dyn}/{\rm M}_\odot) = 9.1 $, suggesting an overmassive black hole relative to the host galaxy. The target is immersed in a 7-kpc wide pool of ionized gas and has three neighbours: a satellite galaxy, a possible satellite/gas cloud, and a tentatively detected spatially detached outflow. H$\alpha $ shows strong, rest-frame absorption, deeper than the continuum, ruling out a stellar origin. The velocity and velocity dispersion are $v_\mathrm{abs} = -13~\mathrm{km\, s^{-1}} $ and $\sigma _\mathrm{abs} = 120~\mathrm{km\, s^{-1}} $. There is tentative evidence (2.6σ) of temporal variability in the equivalent width of the H$\alpha $ absorber over two rest-frame months, suggesting a highly dynamic nucleus. Notably, while the H$\alpha $ absorber is clearly visible and even dominant in the high-resolution G395H observations, it is not detected in the medium-resolution G395M data of the same epoch. This implies that the current incidence rate of absorbers in LRDs – and especially of rest-frame absorbers – may be severely underestimated, because most LRDs rely on lower resolution spectroscopy. The high incidence rate of rest-frame absorbers in LRDs may indicate a configuration that is either intrinsically stationary, such as a rotating disc, or that exhibits time-averaged stability, such as an oscillatory ‘breathing mode’ accretion with cyclic expansion and contraction of the gas around the supermassive black hole.

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)0.000
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 score0.007
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.004
GPT teacher head0.182
Teacher spread0.178 · 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

Citations14
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueMonthly Notices of the Royal Astronomical Society→Same topicGalaxies: Formation, Evolution, Phenomena→French-language works237,207→