Submillimeter Observations of the Low-Metallicity Galaxy NGC 4214
Bibliographic record
Abstract
Results of submillimeter (450 and 850 μm) observations of a nearby dwarf irregular galaxy NGC 4214 with SCUBA on JCMT are presented. We aimed at examining the far-infrared–to–submillimeter spectral energy distribution (SED) and properties of dust thermal emission in a low-metallicity environment by choosing NGC 4214, in which the gas metallicity (log O/H + 12) is 8.34. We found that the SED is quite similar to those of the IRAS Bright Galaxies Sample (IBGS), which are local bright star-forming galaxies with metallicities comparable to the solar abundance. The dust temperature and emissivity index for NGC 4214 obtained by a fitting to the single temperature graybody model are T d = 35 ± 0.8 K and β = 1.4 ± 0.1, respectively, which are typical values for IBGS galaxies. Compiling the previous studies on similar nearby dwarf irregular galaxies, we found that NGC 1569 shows similar results to those of NGC 4214, while NGC 4449 and IC 10 SE show different SEDs and low emissivity indices. There seems to be a variety of SEDs among metal-poor dwarf irregular galaxies. We examined the dependence on the intensity of interstellar radiation field, as well as a two-temperature model, but the origin of the difference is not clear. Some mechanism(s) other than metallicity and the interstellar radiation field must be responsible for controlling dust emission properties.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.013 | 0.004 |
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".