Pith. sign in

REVIEW 1 cited by

Magnetic fields catalyze massive black hole formation and growth

Not yet reviewed by Pith; the record is open.

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 2305.19081 v2 pith:E2Y7G775 submitted 2023-05-30 astro-ph.HE astro-ph.GA

Magnetic fields catalyze massive black hole formation and growth

classification astro-ph.HE astro-ph.GA
keywords accretiondiscformationblackenergyfieldmagneticfields
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
0 comments
read the original abstract

Large-scale magnetic fields in the nuclear regions of protogalaxies can promote the formation and early growth of supermassive black holes (SMBHs) by direct collapse and magnetically boosted accretion. Turbulence associated with gravitational infall and star formation can drive the rms field strength toward equipartition with the mean gas kinetic energy; this field has a generic tendency to self-organize into large, coherent structures. If the poloidal component of the field (relative to the rotational axis of a star-forming disc) becomes organized on scales $\lesssim r$ and attains an energy of order a few percent of the turbulent energy in the disc, then dynamo effects are expected to generate magnetic torques capable of increasing the inflow speed and thickening the disc. The accretion flow can transport matter toward the center of mass at a rate adequate to create and grow a massive direct-collapse black hole (DCBH) seed and fuel the subsequent AGN at a high rate, without becoming gravitationally unstable. Fragmentation and star formation are thus suppressed and do not necessarily deplete the mass supply for the accretion flow, in contrast to prevailing models for growing and fueling SMBHs through disc accretion.

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.

Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. Predicting the thermodynamics in the chromosphere from the translation of SDO data into the IRIS$^{2}$ inversion results using a visual transformer model

    astro-ph.SR 2026-04 unverdicted novelty 5.0

    A visual transformer model trained on IRIS inversions predicts chromospheric temperature and density from SDO data with correlations around 0.8 on 80% of test cases.