The Pristine Inner Galaxy Survey (PIGS) – VI. Different vertical distributions between two DIBs at 442.8 nm and 862.1 nm
Bibliographic record
Abstract
ABSTRACT Although diffuse interstellar bands (DIBs) were discovered over 100 yr ago, for most of them, their origins are still unknown. Investigation on the correlations between different DIBs is an important way to study the behaviour and distributions of their carriers. Based on stacking thousands of spectra from the Pristine Inner Galaxy Survey, we study the correlations between two DIBs at 442.8 nm (λ442.8) and 862.1 nm (λ862.1), as well as the dust grains, in a range of latitude spanning ∼22° ($4^{\circ }\, {\lt }\, |b|\, {\lt }\, 15^{\circ }$) toward the Galactic Centre ($|\ell |\, {\lt }\, 11^{\circ }$). Tight linear intensity correlations can be found between λ442.8, λ862.1, and dust grains for $|b|\, {\lt }\, 12^{\circ }$ or $E(B\, {-}\, V)\, {\gt }\, 0.3$ mag. For $|b|\, {\gt }\, 12^{\circ }$, λ442.8 and λ862.1 present larger relative strength with respect to the dust grains. A systematic variation of the relative strength between λ442.8 and λ862.1 with |b| and $E(B\, {-}\, V)$ concludes that the two DIBs do not share a common carrier. Furthermore, the carrier of λ862.1 is more abundant at high latitudes than that of λ442.8. This work can be treated as an example showing the significance and potentials to the DIB research covering a large latitude range.
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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) | 0.002 | 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".