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Record W4285501378 · doi:10.3847/1538-4365/ac650b

BASS. XXVI. DR2 Host Galaxy Stellar Velocity Dispersions

2022· article· en· W4285501378 on OpenAlexfundno aff
Michael Koss, Benny Trakhtenbrot, Cláudio Ricci, Kyuseok Oh, F. E. Bauer, Daniel Stern, Turgay Çağlar, Jakob S. den Brok, R. F. Mushotzky, F. Ricci, Julián E. Mejía-Restrepo, Isabella Lamperti, Ezequiel Treister, Rudolf E. Bär, Fiona Harrison, Meredith C. Powell, George C. Privon, Rogério Riffel, A. F. Rojas, Kevin Schawinski, C. M. Urry

Bibliographic record

VenueThe Astrophysical Journal Supplement Series · 2022
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAstrophysical Phenomena and Observations
Canadian institutionsnot available
FundersLawrence Berkeley National LaboratoryUniversity of North Carolina at Chapel HillJet Propulsion LaboratoryOffice of ScienceAgencia Nacional de Investigación y DesarrolloChina National Textile and Apparel CouncilEuropean Southern ObservatoryFundação de Amparo à Pesquisa do Estado do Rio Grande do SulNational Research Foundation of KoreaJapan Society for the Promotion of ScienceConselho Nacional de Desenvolvimento Científico e TecnológicoYork UniversityCollege of Engineering, Michigan State UniversityUniversity of WashingtonAlfred P. Sloan FoundationPrinceton UniversityJohns Hopkins UniversityOhio State UniversityNational Research FoundationCarnegie Mellon UniversityMichigan State UniversityHarvard UniversityNew Mexico State UniversityUniversity of PortsmouthYale UniversityVanderbilt UniversityAspen Center for PhysicsEuropean CommissionComunidad de MadridCalifornia Institute of TechnologyU.S. Department of EnergyW. M. Keck FoundationBrookhaven National LaboratoryMinistério da Ciência, Tecnologia e InovaçãoCoordenação de Aperfeiçoamento de Pessoal de Nível SuperiorNational Aeronautics and Space AdministrationNational Science Foundation
KeywordsPhysicsAstrophysicsActive galactic nucleusVelocity dispersionGalaxyBlack hole (networking)Supermassive black holeLuminosityAstronomy

Abstract

fetched live from OpenAlex

Abstract We present new central stellar velocity dispersions for 484 Sy 1.9 and Sy 2 from the second data release of the Swift/BAT AGN Spectroscopic Survey (BASS DR2). This constitutes the largest study of velocity dispersion measurements in X-ray-selected obscured active galactic nuclei (AGN) with 956 independent measurements of the Ca ii H and K λ 3969, 3934 and Mg I λ 5175 region (3880–5550 Å) and the calcium triplet region (8350–8730 Å) from 642 spectra mainly from VLT/X-Shooter or Palomar/DoubleSpec. Our sample spans velocity dispersions of 40–360 km s 1 , corresponding to 4–5 orders of magnitude in black hole mass ( M BH = 10 5.5−9.6 M ⊙ ), bolometric luminosity ( L bol ∼ 10 42–46 erg s −1 ), and Eddington ratio ( L / L Edd ∼ 10 −5 to 2). For 281 AGN, our data and analysis provide the first published central velocity dispersions, including six AGN with low-mass black holes ( M BH = 10 5.5−6.5 M ⊙ ), discovered thanks to high spectral resolution observations ( σ inst ∼ 25 km s −1 ). The survey represents a significant advance with a nearly complete census of velocity dispersions of hard X-ray–selected obscured AGN with measurements for 99% of nearby AGN ( z < 0.1) outside the Galactic plane (∣ b ∣ > 10°). The BASS AGN have much higher velocity dispersions than the more numerous optically selected narrow-line AGN (i.e., ∼150 versus ∼100 km s −1 ) but are not biased toward the highest velocity dispersions of massive ellipticals (i.e., >250 km s −1 ). Despite sufficient spectral resolution to resolve the velocity dispersions associated with the bulges of small black holes (∼10 4–5 M ⊙ ), we do not find a significant population of super-Eddington AGN. Using estimates of the black hole sphere of influence from velocity dispersion, direct stellar and gas black hole mass measurements could be obtained with existing facilities for more than ∼100 BASS AGN.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.555
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0080.000

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 head0.226
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 teacher head, not a consensus.

Study designTheoretical or conceptual
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

Citations50
Published2022
Admission routes1
Has abstractyes

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