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Growing the Intermediate-mass Black Hole in Omega Centauri

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arxiv 2507.06316 v2 pith:RHANT5Q2 submitted 2025-07-08 astro-ph.HE astro-ph.GA

Growing the Intermediate-mass Black Hole in Omega Centauri

classification astro-ph.HE astro-ph.GA
keywords omegastarsimbhmodelsodotratebinariesblack
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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abstract

The recent detection of fast-moving stars in the core of Omega Centauri ($\omega$ Cen), the most massive globular cluster (GC) in the Milky Way, has provided strong evidence for the presence of an intermediate-mass black hole (IMBH). As $\omega$ Cen, is likely the accreted nucleus of a dwarf galaxy, this IMBH also represents a unique opportunity to study BH seeding mechanisms and their potential role in the formation of supermassive BHs. We present Monte Carlo $N$-body models of $\omega$ Cen with detailed treatments for the loss cone dynamics involving stars, binaries, and compact objects. Starting with BH seeds of $500-5000 \, M_{\odot}$ (consistent with runaway collisions of massive stars), our cluster models grow IMBHs with masses of $\sim50{,}000 \, M_{\odot}$ after 12 Gyr, while successfully reproducing the present-day surface brightness and velocity dispersion profiles of $\omega$ Cen. We find a population of fast stars similar to those observed in the core of $\omega$ Cen, with the fastest stars originating from binaries that were tidally disrupted by the IMBH. The IMBH growth is primarily driven by mergers with $30-40 \, M_{\odot}$ BHs, suggesting a present-day IMBH-BH merger rate of $\sim(4-8)\times10^{-8}~\rm{yr}^{-1}$ in $\omega$ Cen-like GCs. Our models also predict a similar rate of tidal disruption events ($\sim5\times10^{-8}~\rm{yr}^{-1}$) which, depending on the frequency of $\omega$ Cen-like GCs per galaxy, may represent anywhere from $0.1\%$ to $10\%$ of the observed TDE rate.

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Cited by 2 Pith papers

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

  1. Predicting intermediate-mass black hole formation in star clusters with machine learning

    astro-ph.GA 2026-05 unverdicted novelty 7.0

    Machine learning regressors trained on Rapster simulations forecast that globular clusters rarely host black holes above 100 solar masses while a few nuclear star clusters may exceed this threshold.

  2. The $M$-$\sigma$ Relation Has to Break

    astro-ph.GA 2026-06 unverdicted novelty 6.0

    Capture-driven growth model predicts M ≈ 10^5 M_⊙ × (σ/50 km s^{-1})^{2.5}, requiring the M-σ relation to flatten to 2.26 < β < 2.5 below 10^5 M_⊙.