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Record W2949241973 · doi:10.25518/0037-9565.7669

Proper Motion study of globular cluster NGC 4590

2018· article· en· W2949241973 on OpenAlexfundno aff
Gaurav Singh, R. K. S. Yadav

Bibliographic record

VenueBulletin de la Société Royale des Sciences de Liège · 2018
Typearticle
Languageen
FieldPhysics and Astronomy
TopicStellar, planetary, and galactic studies
Canadian institutionsnot available
FundersCanadian Space Agency
KeywordsGlobular clusterProper motionPhysicsStarsDeclinationAstrophysicsRight ascensionStar clusterAstronomyStar (game theory)

Abstract

fetched live from OpenAlex

The similar age of the stars in star cluster system makes them interesting objects for the study of stellar evolution. However, for such studies, it is essential to reduce the field star contamination. Proper motion of the stars in the region of star clusters provides a unique possibility of getting membership information of the stars. The mean absolute proper motion of the globular cluster NGC 4590 is derived as -2.95 ± 0.54 mas yr-1 and 2.03 ± 0.52 mas yr-1 along right ascension (RA) and declination (DEC) respectively using, 111,000 stars having an error less than 7 mas yr-1. We propose a similar study of globular clusters with the CCD imager mounted on the 3.6m Devasthal Optical telescope (DOT).

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.193
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.025
GPT teacher head0.299
Teacher spread0.274 · 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 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
Published2018
Admission routes1
Has abstractyes

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