Detection of $J$-band photometric periodicity in the T8 dwarfs 2MASS J09393548-2448279 and EQ J1959-3338
Bibliographic record
Abstract
Aims: We aim to study the near-infrared variability of the T8 dwarfs 2MASS J09393548-2448279 and EQ J1959-3338 by analyzing their $J$-band photometric signal, which can provide new insights into the atmospheric dynamics of cold brown dwarfs. Methods: We used FLAMINGOS-2 on the Gemini South telescope to perform $J$-band differential photometry continuously over 4 h for each target. The resulting light curves have a cadence of 20 s and a photometric uncertainty of 2-4 mmag. Results: We detect periodic variability in both T8 dwarfs, with an amplitude of $16.6\pm0.9$ mmag and a period of $1.364\pm0.012$ h for EQ J1959-3338, which we attribute to rotational modulation. For 2MASS J09393548-2448279, we observe an amplitude of $4.6\pm0.4$ mmag and a period of $1.733\pm0.040$ h, though this periodicity could represent a fraction of a longer period. Conclusions: With the detection of variability in 2MASS J09393548-2448279 and EQ J1959-3338, the number of known variable T8 dwarfs has doubled, making them prime candidates for infrared space-based monitoring and radio observations to investigate atmospheric dynamics and the influence of the magnetic field in very cool atmospheres.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".