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Record W3207032392 · doi:10.48550/arxiv.2110.09279

K2 Observations of Galactic RRd Stars

2018· preprint· en· W3207032392 on OpenAlexaff
P. Moskalik, J. M. Nemec, L. Molnár, E. Plachy, R. Szabó, K. Kolenberg

Bibliographic record

VenuearXiv (Cornell University) · 2018
Typepreprint
Languageen
FieldPhysics and Astronomy
TopicStellar, planetary, and galactic studies
Canadian institutionsCamosun College
Fundersnot available
KeywordsStarsRR Lyrae variablePhysicsAstrophysicsPhotometry (optics)Instability stripAstronomyCepheid variableGlobular cluster

Abstract

fetched live from OpenAlex

We have analysed high-precision photometry of 77 double-mode RR Lyrae (RRd) stars observed by NASA’s Kepler-K2 mission during Campaigns 1-18. Among those stars, we have identified several low-period ratio variables, belonging either to a subclass of "anomalous" RRd stars (Soszyński et al., 2016) or to a separate shorter-period subclass recently identified by Prudil et al. (2017). A non-radial mode with the period ratio of Px/P1 ~ 0.615 has been detected in most RRd stars of our sample. In majority of these variables, at least one subharmonic of the non-radial frequency is also present. Our findings indicate that excitation of the non-radial mode is a common property of the RRd stars. The same non-radial pulsation is also commonly detected in the RRc stars. We show that properties of this puzzling mode are essentially the same in both groups of RR Lyrae-type pulsators.

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 score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.085
GPT teacher head0.193
Teacher spread0.108 · 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

Citations1
Published2018
Admission routes1
Has abstractyes

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