H<scp>I</scp>Column Densities, Metallicities, and Dust Extinction of Metal-Strong Damped Lyα Systems1
Bibliographic record
Abstract
With the Blue Channel Spectrograph (BCS) on the MMT telescope, we have obtained spectra to the atmospheric cutoff of quasars previously known to show at least one absorption system at z > 1.6 with very strong metal lines. We refer to these absorbers as candidate metal-strong damped Lyα systems (cMSDLAs), the majority of which were culled from the Sloan Digital Sky Survey. The BCS/MMT spectra yield precise estimates of the H i column densities ( N HI ) of the systems through Voigt profile analysis of their Lyα transitions. Nearly all of the cMSDLAs (41/43) satisfy the N HI criterion of DLAs, 10 20.3 atoms cm -2 . As a population, these systems have systematically higher N HI values than DLAs chosen randomly from quasar sightlines. Combining our N HI measurements with previously measured metal column densities, we estimate metallicities for the MSDLAs. These systems have significantly higher values than randomly selected DLAs; at z ≈ 2, the MSDLAs show a median metallicity [M/H] ≈ -0.67 that is 0.6 dex higher than a corresponding control sample. This establishes MSDLAs as having among the most metal-rich gas in the high z universe. Our measurements extend the observed correlation between Si ii 1526 equivalent width and the gas metallicity to higher values. If interpreted as a mass-metallicity relation, this implies the MSDLAs are the high-mass subset of the DLA population. We demonstrate that dust in the MSDLAs reddens their background quasars, with a median shift in the spectral slope of δα = 0.29. Assuming an SMC extinction law, this implies a median reddening E B - V ≈ 0.025 mag and visual extinction A V ≈ 0.076 mag. The latter quantity yields a dust-to-gas ratio of log( A V / N HI ) ≈ -22.0, very similar to estimation for the SMC. Future studies of MSDLAs offer the opportunity to study the extinction, nucleosynthesis, and kinematics of the most chemically evolved, gas-rich galaxies at high z .
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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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".