Universal radial scaling of large-scale black hole accretion for magnetically arrested and rocking accretion disks
Bibliographic record
Abstract
Accretion onto supermassive black holes (BHs) can launch relativistic outflows and jets that inject energy and momentum into their surroundings. Understanding how such feedback shapes large-scale accretion is key to bridging observations from galactic scales (e.g., the Bondi radius, ${r}_{\mathrm{B}}$) down to event horizon scales (${r}_{\mathrm{g}}$), spanning five to six orders of magnitude. To address this challenge directly, we treat the spatial scale separation as a free parameter, varying it across two to four orders of magnitude. We perform a suite of the longest contiguous 3D general relativistic magnetohydrodynamic simulations to date ($t\ensuremath{\le}4\ifmmode\times\else\texttimes\fi{}{10}^{6}{r}_{\mathrm{g}}/c$), modeling Bondi-like accretion of rotating, nonrelativistic gas with weak vertical magnetic fields onto a rapidly spinning BH, achieving inflow equilibrium out to $r\ensuremath{\gtrsim}{10}^{3}{r}_{\mathrm{g}}$. We find that, regardless of scale separation or ambient gas rotation, all simulations reach a magnetically arrested disk (MAD) state in which the BH becomes magnetically saturated. In this state, the mass inflow rate follows a universal radial scaling relative to the Bondi rate: ${\stackrel{\ifmmode \dot{}\else \textperiodcentered \fi{}}{M}}_{\mathrm{in}}(r)/{\stackrel{\ifmmode \dot{}\else \textperiodcentered \fi{}}{M}}_{\mathrm{B}}\ensuremath{\sim}(r/{r}_{\mathrm{B}}{)}^{s}$ with $s=0.66\ifmmode\pm\else\textpm\fi{}0.03$. The MAD state self-regulates through jets, outflows, and magnetic flux eruptions that can ultimately disrupt coherent angular momentum inflow, giving rise to a rocking accretion disk (RAD) state. This RAD state features chaotically oriented inflows, weak intermittent jets, and a steeper inflow slope of $s=0.87\ifmmode\pm\else\textpm\fi{}0.05$, along with significantly weaker outflows. For rapidly spinning BHs, the MAD and RAD BH accretion rates become comparable at typical scale separations, ${r}_{\mathrm{B}}/{r}_{\mathrm{g}}\ensuremath{\gtrsim}{10}^{5}$. The weaker outflows in the RAD state allow large-scale inflows to resume, eventually restoring the MAD state and enabling a repeating MAD-RAD cycle. We find that the MAD-RAD timescales can last from a few to hundreds of Bondi timescales, ${t}_{\mathrm{B}}\ensuremath{\sim}0.2\text{ }\text{ }\mathrm{Myr}\ifmmode\times\else\texttimes\fi{}({r}_{\mathrm{B}}/{10}^{5}{r}_{\mathrm{g}}{)}^{3/2}\ifmmode\times\else\texttimes\fi{}({M}_{\mathrm{BH}}/{10}^{9}{M}_{\ensuremath{\bigodot}})$, where ${M}_{\mathrm{BH}}$ is the BH mass, potentially setting the duty cycle of jetted active galactic nucleus outbursts, like M87*.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".