Line-driven winds and the UV turnover in AGN accretion discs
Bibliographic record
Abstract
AGN SEDs generally show a turnover at λ ∼ 1000 Å, implying a maximal accretion disc (AD) temperature of Tmax ∼ 50 000 K. Massive O stars display a similar Tmax, associated with a sharp rise in a line-driven mass-loss |$\skew4\dot{M}_{\rm wind}$| with increasing surface temperature. AGN AD are also characterized by similar surface gravity to massive O stars. The |$\skew4\dot{M}_{\rm wind}$| of O stars reaches ∼10−5 M⊙ yr−1. Since the surface area of AGN AD can be 106 larger, the implied |$\skew4\dot{M}_{\rm wind}$| in AGN AD can reach the accretion rate |$\skew4\dot{M}$|. A rise to |$\skew4\dot{M}_{\rm wind}\sim \skew4\dot{M}$| towards the AD centre may therefore set a similar cap of Tmax ∼ 50 000 K. To explore this idea, we solve the radial structure of an AD with a mass-loss term, and calculate the implied AD emission using the mass-loss term derived from observations of O stars. We find that |$\skew4\dot{M}_{\rm wind}$| becomes comparable to |$\skew4\dot{M}$| typically at a few tens of GM/c2. Thus, the standard thin AD solution is effectively truncated well outside the innermost stable orbit. The calculated AD SED shows the observed turnover at λ ∼ 1000 Å, which is weakly dependent on the AGN luminosity and black hole mass. The AD SED is generally independent of the black hole spin, due to the large truncation radius. However, a cold AD (low |$\skew4\dot{M}$|, high black hole mass) is predicted to be windless, and thus its SED should be sensitive to the black hole spin. The accreted gas may form a hot thick disc with a low radiative efficiency inside the truncation radius, or a strong line-driven outflow, depending on its ionization state.
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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 | 0.000 | 0.000 |
| 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 | 0.001 |
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".