The magnetic field and stellar masses of the eclipsing binary UV Piscium
Bibliographic record
Abstract
The presence of a magnetic field is shown to affect the evolution and properties of stars. Hence, it is necessary to observe different types of stars to explore these effects. The detached eclipsing binary UV Piscium is the object of interest in this study, where a first step of analyzing its global magnetic field is done. The observational data was collected during 2016, at the 3.6-m Canada-France-Hawaii Telescope at Mauna Kea, Hawaii. The analysis of the magnetic field is based on the line-addition technique least-squares deconvolution (LDS) of the polarisation signatures, and the aim is to search for circular polarisation signals produced by the Zeeman effect. The result shows a strong circular polarisation signature for the primary star of the binary, which is a direct evidence for the presence of a magnetic field. In contrast to this, the secondary star only shows a weak signal of circular polarisation in one of the analysed observations and further analysis of its magnetic field is needed. The secondary goal of the project was to calculate the stellar masses of the binary. This is done by measuring the radial velocities of the two stars via the line profiles, and preforming an orbital fit. The results gave: M1= 1.0211 ± 0.0040 Msol and M2 = 0.7728 ± 0.0028 Msol.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".