Erratum: An investigation of the magnetic properties of the classical Be star ω Ori by the MiMeS Collaboration
Bibliographic record
Abstract
This is an erratum to the paper ‘An investigation of the magnetic properties of the classical Be star ω Ori by the MiMeS Collaboration’ published in MNRAS, 426, 2738 (2012). Here, we correct the typographical errors in the second paragraph of the Discussion. We computed η*, RA and RK for ω Ori using the terminal wind velocity V∞ = 600 km s−1, as inferred from the IUE spectra of ω Ori, a typical mass-loss rate for Be stars |${\dot{M}} = 10^{-8}\,\mathrm{M}_{\odot }$| yr−1, the projected velocity v sin i = 179 km s−1 and the inclination i = 42° from Neiner et al. (2002, 2003c). We approximated the magnetic equatorial radius by the averaged stellar radius R⋆ = 5.9 R⊙ inferred from the rotation period, considering the probably high obliquity of the dipole and the stellar flattening of the star. With the upper limit of the magnetic field determined from our Bayesian analysis Bd = 80 G, we find η* = 7, RA = 1.6 R⋆ and RK = 1.4 R⋆ (note that these values neglect the uncertainties of the stellar parameters). Therefore, magnetic confinement of the circumstellar matter is possible: actually we only require Bd > 32 G for η* > 1, but in the case of a DM the emission measure would be very low and probably not detectable. A CM could exist if RA > RK, i.e. for Bd > 63 G. However, the confinement is not especially strong (for example, for σ Ori E, η* goes up to ∼106; for pulsating early B stars, such as β Cep or ζ Cas, η* ∼ 200) and the small difference between RA and RK implies a relatively small magnetosphere.
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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 | 0.001 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.033 | 0.021 |
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".