MétaCan
Menu
Back to cohort
Record W4383647689 · doi:10.23977/acss.2023.070506

New Complete BVR Lightcurves of a Poorly Investigated for NSVS12324385

2023· article· en· W4383647689 on OpenAlexvenueno aff
Dandan Feng, Delin Tang, Xiaobo Wen

Bibliographic record

VenueAdvances in Computer Signals and Systems · 2023
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAstro and Planetary Science
Canadian institutionsnot available
Fundersnot available
KeywordsLight curveEclipsePhysicsOrbital periodEphemerisAstrophysicsContact binaryOrbital inclinationBinary numberMass ratioAsymmetryBase (topology)Binary starAstronomyMathematicsStarsSatelliteMathematical analysis

Abstract

fetched live from OpenAlex

In this paper, new complete BVR light curves of a poorly investigated contact binary, NSVS12324385, at the short-period cutoff are presented. Eleven eclipse times are observed in the light curves. An orbital period of P = 0.2313926(5) days is obtained and ephemeris is given by O−C method base on the analysis of all available eclipse times. The variations in the orbital period are investigated to be dp/dt =−4.939971462 (3) × 10−9 days•yr−1. We analyse the light curves of the binary system by using the 2013 version of the Wilson Devinney(WD) code, and obtain the first photometric solution which indicates that NSVS12324385 is a W-type W UMa system with a mass ratio of q = M2/M1 = 2.947 ± 0.001 and a contact degree of f=5.9%. The system has a low inclination of i=66.04° and a temperature difference of 272K between two components. To explain the asymmetry of the light curves, we add a cool spot located near the neck region of the more massive component.

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 score0.004
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.026
GPT teacher head0.259
Teacher spread0.233 · 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
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueAdvances in Computer Signals and SystemsSame topicAstro and Planetary ScienceFrench-language works237,207