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Record W4389480359 · doi:10.3390/galaxies11060119

S0 Galaxies: Outer Gas Accretion through Tidal Interaction and Minor Merging

2023· article· en· W4389480359 on OpenAlexfundno aff
О. К. Сильченко, А. В. Моисеев, A. A. Smirnova, Р. И. Уклеин

Bibliographic record

VenueGalaxies · 2023
Typearticle
Languageen
FieldPhysics and Astronomy
TopicGalaxies: Formation, Evolution, Phenomena
Canadian institutionsnot available
FundersBrookhaven National LaboratoryArgonne National LaboratoryIntegrated Electronics Engineering Center, Binghamton UniversityScience and Technology Facilities CouncilSmithsonian Astrophysical ObservatoryJet Propulsion LaboratoryOffice of ScienceUniversity of Illinois at Urbana-ChampaignChinese Academy of SciencesHigh Energy PhysicsDeutsche ForschungsgemeinschaftLawrence Berkeley National LaboratoryDivision of Astronomical SciencesUniversity of PennsylvaniaFinanciadora de Estudos e ProjetosUniversity of SussexYork UniversityMinistry of Science and Higher Education of the Russian FederationNational Aeronautics and Space AdministrationUniversity College LondonCarnegie Mellon UniversityCollege of Engineering, Michigan State UniversityPrinceton UniversityUniversity of WashingtonAlfred P. Sloan FoundationJohns Hopkins UniversityVanderbilt UniversityUniversity of ChicagoSLAC National Accelerator LaboratoryHarvard UniversityOhio State UniversityNew Mexico State UniversityUniversity of PortsmouthYale UniversityFermilabNational Science FoundationU.S. Department of EnergyCalifornia Institute of Technology
KeywordsPhysicsAstrophysicsAccretion (finance)GalaxyAstronomyObservatoryTelescopeEmission spectrumAccretion discSpectral line

Abstract

fetched live from OpenAlex

To clarify the sources of outer gas accretion onto disk galaxies, we study the vicinity of four interacting galaxy systems in the Hα emission line by using the scanning Fabry–Perot interferometer of the 6m telescope of the Special Astrophysical Observatory RAS. We find perspective accretion flows seen as ionized-gas emission filaments between the galaxies. We discuss the whole kinematics and origin of these flows.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.015
GPT teacher head0.246
Teacher spread0.232 · 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 designSimulation or modeling
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

Citations5
Published2023
Admission routes1
Has abstractyes

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