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Record W2977367261 · doi:10.1093/mnrasl/slz151

SDSS J0159 as an outlier in the <i>M</i>BH–σ space: further clues to support a central tidal disruption event?

2019· article· en· W2977367261 on OpenAlexfundno aff
Xueguang Zhang, Min Bao, Qirong Yuan

Bibliographic record

VenueMonthly Notices of the Royal Astronomical Society Letters · 2019
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAstrophysical Phenomena and Observations
Canadian institutionsnot available
FundersLawrence Berkeley National LaboratoryBrookhaven National LaboratoryNational Natural Science Foundation of ChinaYork UniversityUniversity of VirginiaCarnegie Mellon UniversityUniversity of TokyoPennsylvania State UniversityJohns Hopkins UniversityUniversity of WashingtonOhio State UniversityUniversity of FloridaCollege of Engineering, Michigan State UniversityHarvard UniversityUniversity of ArizonaNanjing Normal UniversityPrinceton UniversityUniversity of UtahNew York UniversityNew Mexico State UniversityUniversity of PortsmouthVanderbilt UniversityYale University
KeywordsPhysicsAstrophysicsVirial massVelocity dispersionVirial theoremGalaxyEvent (particle physics)Line (geometry)SigmaSpace (punctuation)Stellar massAstronomyStar formation

Abstract

fetched live from OpenAlex

ABSTRACT In this Letter, properties of black hole (BH) mass are well checked for the interesting object SDSS J0159, a changing-look active galactic nuclei and also a host galaxy of a tidal disruption event (TDE). Through spectral absorption features, the stellar velocity dispersion of SDSS J0159 can be well measured as $\sigma \sim 81~{\rm km\, s}^{-1}$, leading to SDSS J0159 being an apparent outlier in the MBH–σ space, because of the BH mass estimated through the MBH–σ relation about two magnitudes lower than the reported virial BH mass of about 108 M⊙. After considerations of contributions of stellar debris from the central TDE to broad line emission clouds, the overestimated virial BH mass could be well explained in SDSS J0159. Therefore, overestimated virial BH masses through broad-line properties in the MBH–σ space could be treated as interesting clues to support central TDEs.

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)0.001
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 score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.007
GPT teacher head0.222
Teacher spread0.215 · 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

Citations21
Published2019
Admission routes1
Has abstractyes

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