High‐Mass Star Formation. I. The Mass Distribution of Submillimeter Clumps in NGC 7538
Bibliographic record
Abstract
We present submillimeter continuum maps at 450 and 850 μm of a 12' × 8' region of the NGC 7538 high-mass star-forming region, made using the Submillimeter Common-User Bolometer Array (SCUBA) on the James Clerk Maxwell Telescope. We used an automated clump-finding algorithm to identify 67 clumps in the 450 μm image and 77 in the 850 μm image. Contrary to previous studies, we find a positive correlation between high spectral index, α, and high submillimeter flux, with the difference being accounted for by different treatments of the error beam. We interpret the higher spectral index at submillimeter peaks as a reflection of elevated dust temperature, particularly when there is an embedded infrared source, although it may also reflect changing dust properties. The clump mass-radius relationship is well fitted by a power law of the form M ∝ R - x with x = 1.5-2.1, consistent with theories of turbulently supported clumps. According to our most reliable analysis, the high-mass end (~100-2700 M ☉ ) of the submillimeter clump mass function in NGC 7538 follows a Salpeter-like power law with index 2.0 ± 0.3. This result agrees well with similar studies of lower mass regions ρ Oph and Orion B. We interpret the apparent invariance of the shape of the clump mass function over a broad range of parent cloud masses as evidence for the self-similarity of the physical processes that determine it. This result is consistent with models that suggest that turbulent fragmentation, acting at early times, is sufficient to set the clump mass function.
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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 | 0.001 | 0.001 |
| 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".