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Record W2154817990 · doi:10.1088/0004-637x/779/2/94

GLOBULAR CLUSTER SCALE SIZES IN GIANT GALAXIES: THE CASE OF M87 AND THE ROLE OF ORBITAL ANISOTROPY AND TIDAL FILLING

2013· article· en· W2154817990 on OpenAlexaff
Jeremy J. Webb, Alison Sills, William E. Harris

Bibliographic record

VenueThe Astrophysical Journal · 2013
Typearticle
Languageen
FieldPhysics and Astronomy
TopicGalaxies: Formation, Evolution, Phenomena
Canadian institutionsMcMaster University
Fundersnot available
KeywordsGlobular clusterPhysicsAstrophysicsAnisotropyCluster (spacecraft)GalaxyIsotropyPopulationQuantum mechanics

Abstract

fetched live from OpenAlex

We present new Hubble Space Telescope imaging of the outer regions of M87 in order to study its globular cluster (GC) population out to large galactocentric distances. We discuss, particularly, the relationship between GC effective radii r h and projected galactocentric distance R gc . The observations suggest a shallow trend out to R gc ∼ 100 kpc, in agreement with studies of other giant elliptical galaxies. To theoretically reproduce this relationship, we simulate GC populations with various distributions of orbits. For an isotropic distribution of cluster orbits, we find a steeper trend of . Instead, we suggest that (1) if the cluster system has an orbital anisotropy profile, where orbits become preferentially radial with increasing galactocentric distance, and (2) if clusters become more tidally underfilling with galactocentric distance, then the observed relationship can be recovered. We also apply this approach to the red and blue GC populations separately and predict that red clusters are preferentially underfilling at large R gc and have a more isotropic distribution of orbits than blue clusters.

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)0.005
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 score0.053
Threshold uncertainty score0.105

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.000
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 head0.003
GPT teacher head0.187
Teacher spread0.183 · 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
Published2013
Admission routes1
Has abstractyes

Explore more

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