Accretion Disks and Stellar Jets Around T Tauri Stars
Bibliographic record
Abstract
. Results from Adaptive Optics imaging of accretion disks and stellar jets around pre-main sequence T Tauri stars are presented. The data were obtained with PUEO, the Adaptive Optics Bonnette attached to the Canada-France-Hawaii Telescope (CFHT). The results on mass loss include a study of the morphology of the jet in the multiple star RW Aur. Also, a study of the morphology and proper motions of emission knots in the micro-jet of DG Tau is presented. On the other hand, the results on mass accretion include images and models in the optical and near infrared of the scattered light by the accretion disk surrounding HK Tau B. The optical images are from WFPC2, on board HST. Many geometrical parameters of the disk are deduced (e.g., inclination, radius). So are the vertical scale height and the surface density distribution of the grains responsible for the scattered light. The disk mass is also estimated. This exemple shows how the Hubble Space Telescope and ground-based adaptive optics im...
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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".