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Record W6986215977

Origin Of Red Sequence Barred Spiral Galaxies

2022· article· en· W6986215977 on OpenAlexaboutno aff

Bibliographic record

VenueUND Scholarly Commons (University of North Dakota) · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicHuman Resources and Workforce
Canadian institutionsnot available
Fundersnot available
KeywordsBulgeBarred spiral galaxySpiral galaxyGalaxySpiral (railway)EllipseBar (unit)Lenticular galaxy
DOInot available

Abstract

fetched live from OpenAlex

Spiral galaxies contain spiral arms that are sites of ongoing star formation, typically making these galaxies appear blue in color. Several studies, however, have recently found that a small fraction of cluster spiral galaxies (~10%) appear red in color. These studies have proposed several mechanisms to explain the red color of spiral galaxies, including bar instabilities. The research goal of this thesis is to contrast and compare imaging data for a sample of face-on red-sequence (RS) and non-red-sequence (NRS) barred spiral galaxies selected from 67 low-redshift galaxy clusters. These data were collected from observations obtained using the 3.6-meter Canada-France-Hawaii Telescope, the 0.9-meter telescope at the Kitt Peak National Observatory, and archival data from the WIde-field Nearby Galaxy-cluster Survey. The ELLIPSE and BMODEL tasks in the STSDAS package of the Image Reduction Analysis Facility software were used to model the central bulge of spiral galaxies, and the IMARITH task was used to subtract the model from the parent image. The ELLIPSE task outputs an STSDAS table file containing isophote fit values that are used to calculate bar length, bar width, and galaxy size. These values were used to calculate bar fractions of all galaxies in the sample. Comparison of bar fractions of the galaxies between the RS and NRS sample showed no statistically significant difference.

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)0.001
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 score0.014
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.001

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 head0.053
GPT teacher head0.274
Teacher spread0.221 · 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

Citations0
Published2022
Admission routes1
Has abstractyes

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