Surface abundance distribution models of Si, Cr, Mn, Fe, Pr and Nd for the slowly rotating Ap star HD 187474
Bibliographic record
Abstract
The very slowly rotating magnetic Ap star HD 187474 has strong and quite variable spectral lines of several elements. An axisymmetric low-order multipole magnetic model has been obtained for this star by Landstreet & Mathys (2000). HD 187474 is one of the few very slowly rotating magnetic Ap stars that is suitable for abundance distribution modelling; because of the unusually large angle between the field and rotation axes, the line of sight goes well into both magnetic hemispheres. We have used CASPEC and CES spectra with good phase coverage together with the programme ZEEMAN to search for simple three-ring abundance distributions of Si, Cr, Mn, Fe, Pr and Nd, symmetric about the assumed magnetic field distribution axis, that match observed line profiles as a function of rotational phase. Reasonably satisfactory fits to the observations are found for all of these elements. In all cases, three-ring models work as well as more finely gridded models. The deduced abundances are somewhat overabundant and somewhat non-uniform for Fe; for the other elements quite large overabundances (up to 5 dex for Nd) are found, with substantially higher (but somewhat unequal) abundances around the two magnetic poles compared to the magnetic equator. All the elements studied are overabundant everywhere (except perhaps Si around the magnetic equator). This star poses a real challenge to theories of chemical peculiarity.
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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 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".