Spectra of 18 ssrAp star candidates (Mathys+, 2025)
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The reduced, normalised spectra of 27 super-slowly rotating Ap (ssrAp) stars identified from a TESS photometric survey are presented. These spectra were used to confirm that the studied stars are indeed Ap stars, to check that their projected equatorial velocities are compatible with super-slow rotation, and to obtain a first estimate of their magnetic field strengths. For the corresponding measurements, a local continuum was defined for each spectral line. Accordingly, the overall normalisation of the whole spectrum may only be approximate, hence unsuitable for some purposes (for instance, characterisation of the hydrogen Balmer line profiles). The file summary below gives for each spectrum the star ID in the TESS Input Catalogue (TIC), the Julian Date of the observation, and the spectrograph that was used: HARPS-N at the Telescopio Nazionale Galileo, HRS at the South African Large Telescope (SALT), CAOS at the 0.9-m telescope of the Catania Astrophysical Observatory, FEROS at the 2.2-m telescope of the European Southern Observatory, or ESPaDOnS at the Canada-France-Hawaii Telescope.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 it