Magnetic models of slowly rotating magnetic Ap stars: aligned magnetic and rotation axes
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Bibliographic record
Abstract
As a result of major surveys carried out during the past decade by Mathys and collaborators, we now have mea- surements with full phase coverage of several magnetic field moments, including the mean longitudinal field B', the mean field modulus Bs, and in most cases the mean quadratic field Bmq and mean crossover field Bxover, for a sample of 24 chem- ically peculiar magnetic (Ap) stars. This represents an increase of a factor of order five in the stellar sample with data of this quality, compared to the situation a decade ago. We exploit this dataset to derive general and statistical prop- erties of the stars in the sample, as follows. First, we fit the avail- able field moment observations assuming a simple, axisymmet- ric multipole magnetic field expansion (with dipole, quadrupole, and octupole components) over each stellar surface. We show that this representation, though not exact, gives an adequate description of the available data for all the stars in this sam- ple, although the fit parameters are in many cases not unique. We find that many of the stars require an important quadrupole and/or octupole field component to satisfy the observations, and that some (usually small) deviations from our assumed axisym- metric field distributions are certainly present. We examine the inclination i (0 i 90) of the rotation axis to the line of sight and the obliquity (0 90) of the magnetic field with respect to the rotation axis, and show that the stars with periods of the order of a month or longer have systematically small values of : slowly rotating magnetic stars generally have their magnetic and rotation axes aligned to within about 20 , unlike the short period magnetic Ap stars, in which is usually large. This is a qualitatively new result, and one which is very important for efforts to understand the evolution of magnetic fields and angular momentum in the magnetic Ap stars.
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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) | 0.001 | 0.000 |
Machine scores (provisional)
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Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
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