Analysis of Bright Star Data from the TESS and BRITE Spacecraft
Bibliographic record
Abstract
During the last two years we have received long time-series photometric observations of bright (visual magnitude < 8) main-sequence A and B type stars using the NASA TESS spacecraft* and the Austria-Poland-Canada BRITE satellites**.Using the TESS observations of A-type stars with peculiar element abundances, our goal is to determine whether and why these stars pulsate in multiple radial and nonradial modes, as do the delta Scuti stars in the same region of the H-R diagram.The BRITE data were requested to follow up on several A-and B-type stars in the field of view of the NASA Kepler mission.We review the questions that we hope to answer with these observations, and present results on the light curves and pulsation frequencies.Follow-up groundbased photometric and spectroscopic observations of these bright stars will be needed to constrain stellar parameters and to understand the nature of the variability.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.009 | 0.005 |
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".