TOWARD UNDERSTANDING THE ENVIRONMENT OF R MONOCEROTIS FROM HIGH-RESOLUTION NEAR-INFRARED POLARIMETRIC OBSERVATIONS
Bibliographic record
Abstract
High-resolution H -band imaging polarimetric observations of R Mon obtained at the Canada–France–Hawaii telescope are presented. These data show a centrosymmetric pattern with elongated intensity contours mostly due to the presence of the companion R Mon B. We also consider published R -band data, which show an extended right-angle conical reflection nebula with an offset in the optical peak. We study the circumstellar environment of R Mon with a radiative transfer Monte Carlo code. The best-fitting model obtained succeeds in reproducing the characteristics seen in the data in the two bands simultaneously. The model indicates the presence of relatively small astronomical silicate grains ranging from 0.04 μm to 0.15 μm distributed into three structures: a small disk, an inner envelope, and an outer envelope. The cavity is modeled by a conical structure with a constant low density and we include a "throat" to produce the offset of the optical peak. Our model predicts a polarization reversal by 90° between the R and H bands. Observations show that position angles parallel, perpendicular, and also at other angles to the disk can occur over time in the near-infrared.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".