MIRIS Paα Galactic Plane Survey. I. Comparison with IPHAS Hα in ℓ = 96°–116°
Bibliographic record
Abstract
Abstract The Multipurpose InfraRed Imaging System (MIRIS) performed the MIRIS Paα Galactic Plane Survey (MIPAPS), which covers the entire Galactic plane within the latitude range of at Paα (1.87 μm). We present the first result of the MIPAPS data extracted from the longitude range of –116.°3 and demonstrate the quality and scientific potential of the data by comparing them with Hα maps obtained from the INT Photometric Hα Survey (IPHAS) data. We newly identify 90 H ii region candidates in the WISE H ii region catalog as definite H ii regions by detecting the Paα and/or Hα recombination lines, out of which 53 H ii regions are detected at Paα. We also report the detection of an additional 29 extended and 18 point-like sources at Paα. We estimate the E(B−V) color excesses and total Lyman continuum luminosities for H ii regions by combining the MIPAPS Paα and IPHAS Hα fluxes. The E(B−V) values are found to be systematically lower than those estimated from point stars associated with H ii regions. Utilizing the MIPAPS Paα and IPHAS Hα images, we obtain an E(B−V) map for the entire region of the H ii region Sh2-131 with an angular size of ∼2.°5. The E(B−V) map shows not only numerous high-extinction filamentary features but also negative E(B−V) regions, indicating Hα excess. The Hα excess and systematic underestimation of E(B−V) are attributed to light scattered by dust.
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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 | 0.002 | 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 | 0.001 |
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".