Submillimetre Class II methanol masers near the massive protostar S255IR NIRS 3: evolution and excitation of the <i>J</i>1 − <i>J</i>0 A−+ series and a new maser line at 345.919 GHz
Bibliographic record
Abstract
ABSTRACT We present the results of a further investigation of the Class II methanol maser emission in the $14_1 - 14_0$ A$^{-+}$ transition at 349.1 GHz discovered in 2016 in the remarkable core S255IR-SMA1, which harbours a $\sim$20-M$_{\odot }$ protostar NIRS 3 that exhibited a disc-mediated accretion burst in 2015. The present study is based on observations of this object with Atacama Large Millimeter/submillimeter Array in Band 7 at the largest baselines, which provide an angular resolution of $\sim$15 mas. We estimated the physical conditions in the region where the maser emission comes from, and in the surroundings, using the presumably quasi-thermal methanol lines in our bands and the CH$_3$CN $19_\mathrm{K} - 18_\mathrm{K}$ line series. The total flux density in the $14_1 - 14_0$ A$^{-+}$ line in 2021 is about two times higher than in 2019. A maser emission of about the same intensity in 2021 is detected for the first time in the $12_1 - 12_0$ A$^{-+}$ transition at 336.9 GHz. The physical conditions in the masering and non-masering regions are similar. The masers are apparently excited by the radiation of the central source. Unfortunately, the existing models cannot adequately take into account this radiation. The $18_{-3}-17_{-4}$ E transition at 345.919 GHz also shows characteristics of maser emission.
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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 | 0.000 | 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".