Analyse observationelle des conditions physiques dans des régions de formation stellaire galactique et extra-galactique
Bibliographic record
Abstract
In my thesis observations of near-infrared rovibrational H2 emission in active starforming regions are presented and analysed. The main subject of this work concerns mainly new observations of the Orion Molecular Cloud (OMC1) and particularly the BN-KL region. The data consist of images of individual H2 lines with high spatial resolution obtained both at the Canada-France-Hawaii Telescope and the ESO Very Large Telescope (VLT). With the high spatial resolution of the VLT it is possible to analyse in detail (down to 60 AU ~ 0.''13) individual objects in the region. I have also analysed H2 and [FeII] emission from outflows in two dark clouds (Bok globules BHR71 and BHR137) and a high excitation blob in the Magellanic Clouds (N159-5). In the latter, data consist of long-slit spectra obtained at the ESO-VLT. In order to facilitate this work I ran a large grid of ~25 000 shock models, producing almost 400 Gb of results. These models are state-of-the-art and there is a large number of free parameters which can be adjusted. A large part of my project has been to analyse the results from this grid and make it publically available. Furthermore, as it turned out, not all results are equally reliable and I have had to develop methods for checking the consistency of the wealth of results obtained. But with the model results and a sound knowledge of shock physics it is now relatively straightforward to interpret the H2 and [FeII] data. The models allow me to predict the large-scale physical conditions in OMC1 such as density, shock velocities, magnetic field strengths, etc. Overall the preshock density is of the order of ~105-107 cm-3 and shock velocities are in the interval 10-40 kms-1. Another very interesting result is a new method developed for analysing bow shocks observed at high spatial resolution. For one isolated bow shock in OMC1 I predict a shock velocity of 50 kms-1 and a preshock density of the order of 5×105 cm-3. The 3D velocity has recently been measured to 55 kms-1 providing an independent check on our results.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 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) | 0.002 | 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".