Modelling the colliding-winds spectra of the 19-d WR + OB binary in the massive triple system Muscae
Bibliographic record
Abstract
High signal-to-noise ratio, moderate-resolution spectra, providing full phase coverage of the 19-d WC6 + OB binary θ Mus (WR 48, HD 113904), have been obtained and show dramatic variations of the C iiiλ5696 emission-line profile. We have modelled these line profile variations using a purely geometrical model which assumes that the emission arises from two regions, an optically thin spherical shell around the WR star and a cone-shaped region that partially wraps around the OB star. The cone-shaped region represents the shock front arising from the collision between the winds of the two stars. This work builds upon our earlier study of WR 42 and WR 79, and uses a completely new code for the modelling, which includes the effects of turbulence. We now find much better agreement between the orbital inclination angles found for these stars with those determined using other methods. The fitting parameters found via modelling the C iiiλ5696 profile variations of θ Mus are used to infer that the OB companion most likely has a spectral type of O6V or O7V. The modelling presented here continues to show the exciting promise of a better understanding of WR star fundamental parameters.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".