YSO Variability in the W51 Star-Forming Region
Bibliographic record
Abstract
Time-domain studies of mid-infrared and submillimeter variability have shown that at least half of protostars are variable. We present a statistical analysis of mid-infrared variability among young stellar objects (YSOs) in the distant, massive star-forming region W51 using NEOWISE data. From a catalog of 81 protostars, 527 disk objects, and 37,687 other sources including diskless pre-main sequence and evolved contaminants, we identified significant variability in the 3.4 um (W1) and 4.6 um (W2) bands. Because of W51's distance (~5.4 kpc) and extinction, the sample mainly includes intermediate- to high-mass YSOs (>2 Msun), unlike nearby regions dominated by low-mass stars. This mass bias may affect the observed variability. In W2, 11.1% of protostars, 7.6% of disk objects, and 0.6% of PMS+E sources showed secular variability, while 8.6%, 2.3%, and 0.5% showed stochastic variability; similar fractions were found in W1. The variability fraction and amplitude increase toward earlier stages. Protostars exhibit high-amplitude stochastic changes likely driven by dynamic accretion and extinction, whereas disk objects show more secular patterns-linear, curved, or periodic-possibly due to moderate accretion variations or disk geometry. Color-magnitude analysis shows that protostars generally redden as they brighten, consistent with enhanced dust emission or variable extinction, while disk objects show mixed trends: roughly balanced in W1 but more often bluer in W2, suggesting reduced extinction or hotspot modulation. These results highlight distinct mechanisms of variability across evolutionary stages and demonstrate that mid-infrared monitoring offers key insight into accretion and disk evolution in young stars.
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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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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".