MétaCan
Menu
← Back to cohort
Record W4417213863 · doi:10.1103/zkq5-bj75

Universal radial scaling of large-scale black hole accretion for magnetically arrested and rocking accretion disks

2025· article· en· W4417213863 on OpenAlexafffund

Bibliographic record

VenuePhysical review. D/Physical review. D. · 2025
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAstrophysical Phenomena and Observations
Canadian institutionsUniversity of TorontoPerimeter InstituteCanadian Institute for Theoretical Astrophysics
FundersLawrence Berkeley National LaboratoryOldham Little Church FoundationOak Ridge National LaboratoryNatural Sciences and Engineering Research Council of CanadaCanadian Space AgencyNational Energy Research Scientific Computing CenterSimons FoundationNational Science FoundationOffice of ScienceLake Region Arts CouncilNational Aeronautics and Space AdministrationSmithsonian Astrophysical ObservatoryU.S. Department of Energy
KeywordsAccretion (finance)Angular momentumScalingSupermassive black holeInflowAccretion discMagnetohydrodynamic driveBlack hole (networking)

Abstract

fetched live from OpenAlex

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*.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.012
GPT teacher head0.369
Teacher spread0.357 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

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".

Quick stats

Citations5
Published2025
Admission routes2
Has abstractyes

Explore more

Same venuePhysical review. D/Physical review. D.→Same topicAstrophysical Phenomena and Observations→French-language works237,207→