The Crescent Nebula and its hundreds of line-of sight stars as seen with the imaging FTS SITELLE
Bibliographic record
Abstract
The Crescent Nebula, NGC 6888, has long been the muse of many scientific and amateur research. However, the recent data provided by SITELLE, a wide-field imaging Fourier transform spectrometer at the Canada-France-Hawaii telescope call for new analysis and conclusions. The spectral cubes offer a field of view of 11 × 11 arcminutes2 and have been acquired trough 5 different filter-selected bands covering the optical waveband (from 350 to 680 nm), allowing 23 characteristic emission optical lines to be described with a spectral resolution reaching up to 2500. Doppler shifting allow two-components velocity fits, describing the multi-layered bubble’s kinematics. The sulfur doublet describes electronic densities. Other faint lines (including [NII] 5755, [OIII] 4363 and NeIII 3868) are essential to determine accurate temperatures and abundances. Emission lines are key to this nebular research, but absorption lines in the spectrum of hundreds of field stars are also studied. All this leads to a more complete physical description of NGC 6888, its central star WR136 and the stars present in the field of view.
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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 | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 0.002 |
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".