Published November 2024 | Published
Journal Article Open

Feedback-regulated seed black hole growth in star-forming molecular clouds and galactic nuclei

  • 1. ROR icon California Institute of Technology
  • 2. ROR icon Canadian Institute for Theoretical Astrophysics

Abstract

Context. The detection of supermassive black holes (SMBHs) in high-redshift luminous quasars may require a phase of rapid accretion, and as a precondition, substantial gas influx toward seed black holes (BHs) from kiloparsec or parsec scales. Our previous research demonstrated the plausibility of such gas supply for BH seeds within star-forming giant molecular clouds (GMCs) with high surface density (∼10⁴ M⊙ pc⁻²), facilitating "hyper-Eddington" accretion via efficient feeding by dense clumps, which are driven by turbulence and stellar feedback. Aims. This article presents an investigation of the impacts of feedback from accreting BHs on this process, including radiation, mechanical jets, and highly relativistic cosmic rays. Methods. We ran a suite of numerical simulations to explore diverse parameter spaces of BH feedback, including the subgrid accretion model, feedback energy efficiency, mass loading factor, and initial metallicity. Results. Using radiative feedback models inferred from the slim disk, we find that hyper-Eddington accretion is still achievable, yielding BH bolometric luminosities of as high as 10⁴¹ − 10⁴⁴ erg/s, depending on the GMC properties and specific feedback model assumed. We find that the maximum possible mass growth of seed BHs (ΔM_(max)^(BH)) is regulated by the momentum-deposition rate from BH feedback, ṗfeedback/(Ṁ_(BH)c), which leads to an analytic scaling that agrees well with simulations. This scenario predicts the rapid formation of ∼10⁴ M⊙ intermediate-massive BHs (IMBHs) from stellar-mass BHs within ∼1 Myr. Furthermore, we examine the impacts of subgrid accretion models and how BH feedback may influence star formation within these cloud complexes.

Copyright and License

© The Authors 2024.

Open Access article, published by EDP Sciences, under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Acknowledgement

Support for the authors was provided by NSF Research Grants 1911233, 20009234, 2108318, NSF CAREER grant 1455342, NASA grants 80NSSC18K0562, HST-AR15800. Numerical calculations were run on the Caltech compute cluster “Wheeler”, allocations AST21010 and AST20016 supported by the NSF and TACC, and NASA HEC SMD-16-7592. A public version of the GIZMO code is available at http://www.tapir.caltech.edu/~phopkins/Site/GIZMO.html. YS acknowledges the support of the Natural Sciences and Engineering Research Council of Canada (NSERC), [funding reference number 568580].

Files

aa50964-24.pdf
Files (29.5 MB)
Name Size Download all
md5:4c49b25006d775e5057cc92a7a5bd7cc
29.5 MB Preview Download

Additional details

Created:
November 4, 2024
Modified:
November 19, 2024