Perspectives for the study of gas in protoplanetary disks and\n accretion/ejection phenomena in young stars with the near-IR spectrograph\n SPIROU at the CFHT
Bibliographic record
Abstract
Near-IR atomic and molecular transitions are powerful tools to trace the warm\nand hot gas in the circumstellar environment of young stars. Ro-vibrational\ntransitions of H2 and H2O, and overtone transitions of CO at 2 micron centered\nat the stellar velocity trace hot (T~1500 K) gas in the inner few AU of\nprotoplanetary disks. H2 near-IR lines displaying a blueshift of a few km/s\nprobe molecular disk winds. H2 lines presenting blueshifts of hundreds of km/s\nreveal hot shocked gas in jets. Atomic lines such as the HeI line at 10830 A\nand the Hydrogen Paschen beta and Brakett gamma lines trace emission from\naccretion funnel flows and atomic disk winds. Bright forbidden atomic lines in\nthe near-IR of species such as [Fe II], [N I], [S I], [S II], and [C I] trace\natomic and ionized material in jets. The new near-IR high resolution\nspectrograph SPIROU planned for the Canada France Hawaii Telescope will offer\nthe unique capability of combining high-spectral resolution (R~75000) with a\nlarge wavelength coverage (0.98 to 2.35 micron) in one single exposure. This\nwill provide us with the means of probing accretion funnel flows, winds, jets,\nand hot gas in the inner disk simultaneously. This opens the exiting\npossibility of investigating their combined behavior in time by the means of\nmonitoring observations and systematic surveys. SPIROU will be a powerful tool\nto progress our understanding of the connexion between the accretion/ejection\nprocess, disk evolution, and planet formation.\n
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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".