c © Austrian Academy of Sciences Update and Additional Frequencies for Kepler Star
Bibliographic record
Abstract
Breger et al. (2011) reported on the discovery of 76 frequencies for the star KIC 9700322 from one month (Sept.-Oct. 2009) of short-cadence (1-minute sampling rate) photometric data during Quarter 3 of the NASA Kepler mission. Here we report on a reanalysis combining an additional month (June-July 2009) obtained during Quarter 2 as part of the Kepler Guest Observer program. This analysis confirms all but two of the earlier frequencies> 0.5 c/d, and in addition finds six new combination frequencies of the 8 highest amplitude modes, and three frequencies that are not combinations of these modes. Since we do not know the parents of 12 of the 83 frequencies, additional astrophysical discoveries may await in continued study of this star. The rotational modulations of the two radial modes and the ` = 2 quintuplet are confirmed. For the two radial modes (f1, f2) and the central (m = 0) mode of the ` = 2 quintuplet, f6, amplitude variability and/or close frequencies were found. The additional data do not reveal more of the `=0, 1, 2 or higher-degree p modes that were expected, and this result is still a mystery.
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.010 | 0.005 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.020 | 0.026 |
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".