Study on the physical parameters of 18 contact binary stars
Bibliographic record
Abstract
ABSTRACT We present the photometric light curve solutions of 18 W Ursae Majoris-type contact binary stars with orbital periods shorter than 0.5 d. This investigation utilized photometric data from the Transiting Exoplanet Survey Satellite, Gaia, and the All Sky Automated Survey for SuperNovae. We analysed light curves using the PHysics Of Eclipsing BinariEs Python code. Eleven of the targeted systems required the inclusion of a starspot on one of the components during the analysis process. The absolute parameters of the systems were estimated using the Gaia Data Release 3 (DR3) parallax method. Based on each component’s effective temperature and mass, we identified seven systems as A-subtypes and eleven as W-subtypes. We compared the results of our photometric mass ratio with a new method that estimates it using the third derivative of the light curve. The semimajor axes that were derived from the estimation of absolute parameters using the Gaia DR3 parallax method were discussed. The positions of the systems are illustrated on the logarithmic scales’ mass–luminosity and mass–radius diagrams compared to the theoretical terminal-age main sequence and zero-age main sequence lines. We generated a bibliographic compilation of orbital and stellar parameters, which includes 818 contact binary systems. Then, we updated the 2D empirical parameter relationships for the primary stars, including period–temperature, period–mass, period–radius, and period–luminosity, along with diagrams illustrating the positions of the target systems. This sample is accessible as a machine-readable file for the subsequent studies.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".