OGLE-BLAP-001 and ZGP-BLAP-08: Two possible magnetic blue large-amplitude pulsators
Bibliographic record
Abstract
Blue large-amplitude pulsators (BLAPs) are a newly discovered group of compact pulsating stars whose origins are yet to be explained. Of the existing evolutionary scenarios that could lead to the formation of BLAPs, there are two positing that BLAPs are the products of the merger of two stars: either a main-sequence star and a helium white dwarf or two low-mass helium white dwarfs. Among over a hundred known BLAPs, three equidistant modes, in terms of frequency, had been found in one, namely, OGLE-BLAP-001. We show that three modes that are similarly equidistant in frequency do exist in yet another BLAP, namely, ZGP-BLAP-08. This perfect separation in frequency is a strong argument for explaining the modes in terms of an oblique pulsator model. This model is supported by the character of the changes of the pulsation amplitude and phase with the rotational phase. Consequently, we hypothesise that these two BLAPs are magnetic, as equidistant modes in terms of the frequency pulsation would be observed in the presence of a magnetic field whose axis of symmetry does not coincide with the rotational axis. A logical consequence of this hypothesis is to postulate that these two BLAPs could have originated in a merger scenario, similarly to what is believed to be behind the origin of magnetic white dwarfs. We also find that period changes in both stars cannot be interpreted by a constant rate of period change. We discuss the possible origins of these changes.
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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 | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| 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".