ACORN I. Massive Black Hole Seeding and Tidal Disruption Events from Star Clusters in Cosmological Simulations
summary
The gist
The gist The authors introduce a new MBH seeding model for cosmological simulations, physically motivated by runaway collisions in star clusters, to explain massive black holes observed at high
In short
The authors introduce a new model for seeding massive black holes (MBHs) in cosmological simulations based on runaway collisions within star clusters observed by JWST. This physical model generates seeds whose mass depends on host cluster properties, leading to a more realistic scaling of MBH mass with galaxy size. It predicts a higher merger rate and enhanced observability of low-mass seeds.
Key concepts
- Star-Cluster-Based MBH Seeding Model
- This model generates MBH seeds by simulating the evolution of subgrid star clusters, which form from the local interstellar medium. The mass of these seeds is determined by how massive and metal-rich their host clusters are, linking seed properties directly to the local environment.
- Tidal Disruption Events (TDEs)
- TDEs occur when a black hole interacts with a star cluster, causing it to be torn apart. The model tracks these events, noting that they can be boosted if the MBH is in a binary system, and they are crucial for growing lower-mass seeds.
- Runaway Collisions in Star Clusters
- This physical process describes how stars within a dense star cluster collide violently, leading to runaway mergers. The energy and mass of these collisions dictate the final mass of the MBH seed formed from this process, making it a core mechanism for seed formation.
Terminology used across episodes
This episode discusses
- ACORN I. Massive Black Hole Seeding and Tidal Disruption Events from Star Clusters in Cosmological Simulations · Paper Radio
- Formation of Heavy Seed Black Holes and Little Red Dots-like Compact Clusters in Metal-enriched Star-forming Regions · Paper Radio
- From Dense Gas Clouds to Supermassive Black Hole Seeds: Hybrid Hydro/Direct N-body Simulations of Runaway Collision-driven Intermediate-mass Black Hole Formation · Paper Radio
- Introducing AuriGLOBES: The effects of compressive tides, compact object-induced mass loss, and size evolution on modelling globular clusters · Paper Radio
- Individual Star Sampling in Star Formation Simulations: A Semi-Deterministic Model · Paper Radio
- A cosmological framework for stellar collisions at high redshift in proto-globular clusters, nuclear star clusters, and Little Red Dots
- First results of AMBRA: Abundant Seeds and Early Mergers as a Pathway to the First Massive Black Holes
The paper
ACORN I. Massive Black Hole Seeding and Tidal Disruption Events from Star Clusters in Cosmological Simulations · Read on arXiv
Yihao Zhou, Tiziana Di Matteo, Claire E. Williams, Aklant Kumar Bhowmick, Marta Reina-Campos, Carl L. Rodriguez, Elena Gonzalez Prieto , Laura Blecha
McWilliams Center for Cosmology, Department of Physics, Carnegie Mellon University · Department of Physics and Astronomy, UCLA · Mani L. Bhaumik Institute for Theoretical Physics, Department of Physics and Astronomy, UCLA · University of Virginia 530 McCormick Rd Charlottesville · Virginia Institute for Theoretical Astronomy, University of Virginia · The NSF-Simons AI Institute for Cosmic Origins
JWST has revealed massive star clusters at z 6, which provide promising environments for massive black hole (MBH) seed formation. We introduce a new MBH seeding model for cosmological simulations, physically motivated by the runaway collisions in star clusters. Subgrid star clusters are generated according to the local ISM and evolved through stellar evolution and two-body relaxation. The masses of MBH seeds formed through runaway collisions are determined by the properties of their host clusters, including the effects of metallicity-dependent stellar winds. We further follow tidal disruption events (TDEs) with the evolving clusters, which can be enhanced in MBH binaries, and account for gravitational-wave (GW) recoil following MBH mergers. We implement this model in a constrained simulation of a 5 σ overdense region, where seeds of 10 cubed-10 5.6,M form in clusters with 10 4 at most m SC at most 10 8,M. Because both the seed abundance and mass are directly connected to the local environment, we have a more physical M BH!-!M galaxy scaling for low-mass galaxies (M galaxy about10 6-9,M), a regime poorly described by previous seeding models. Multiple MBHs are naturally allowed to form in-situ within individual halos, producing a spatially clustered population. This increases the MBH merger rate by about100 relative to other seeding models, significantly enhancing the expected LISA event rate. TDEs can dominate the growth of 10 3-4,M MBHs and produce luminous flares of L peak about 10 42-43, erg,s-1, increasing the observability of low-mass seeds. This seeding prescription accelerates early MBH growth at z 8, while subsequent self-regulated gas accretion drives the central MBH toward similar masses about10 8.6, M by z=6 across different seeding models.
Transcript
Introduction to the show: ident: Astrophysics Radio. Generated commentary on the latest astrophysics papers.
Vera: I'm Vera, and with me are Jocelyn and Subrahmanyan, guest researcher.
Jocelyn: Today's paper: "ACORN I. Massive Black Hole Seeding and Tidal Disruption Events from Star Clusters in Cosmological Simulations".
Vera: The gist The authors introduce a new MBH seeding model for cosmological simulations, physically motivated by runaway collisions in star clusters, to explain massive black holes observed at high redshift.
Jocelyn: First, who's behind it and why it matters.
Title and authors: Jocelyn: Okay, so what's the actual setup of this model they’re describing in ACORN I? It seems pretty detailed about how they are modeling the star cluster population itself before even looking at the black hole seeds.
Vera: Well, they start by identifying regions that host these star clusters using something called StarFOF, which is a Friends-of-Friends algorithm where star particles link everything together <ref:2610.12398#pg1>. Then they calculate the total mass budget for those clusters in that region.
Subrahmanyan: And they apply a power-law initial cluster mass function with a slope of-two within the range of one hundred two to one hundred eight Msun, which sets up the initial population structure for their simulations.
Jocelyn: After setting up the clusters, they use an analytic framework developed by Williams et al. 2026b to predict the mass of those black hole seeds based on the properties of their host clusters <ref:2610.12398#pg3>.
Vera: And this model imposes a minimum seed mass constraint, setting Mseed,min at one hundred three h-1Msun in this work, which basically filters out the smaller seeds they don't want to focus on right now.
Subrahmanyan: The summary highlights that they are exploring alternative pathways too, like successive black hole mergers within sufficiently massive and compact nuclear clusters leading to a seed <ref:2610.12398#pg3>.
Jocelyn: And then they bring in the tidal disruption events, or TDEs, which are crucial because they show how these seeds actually interact with the evolving clusters over time.
The paper's summary: Vera: Now for the improvements they propose to this model, and honestly, I think those are really where the real traction is. They suggest using TDEs not just as a passive outcome but as an active channel for feeding young black holes <ref:2610.12398#pg3>.
Subrahmanyan: They also mention that if you look at MBH binary systems, like those with eccentric Kozai-Lidov mechanisms, the TDE rate can be enhanced significantly <ref:2610.12398#pg3>.
Jocelyn: That enhancement is tied to the gravitational wave recoil velocity calculation, which depends on the mass ratio q of the progenitor black holes <ref:2610.12398#pg4>. If that recoil speed exceeds the escape velocity of the cluster, they label that cluster mass as zero, meaning a very energetic ejection event happens.
Vera: So another improvement is linking it back to galaxy properties—the paper claims this gives a more physical MBH-galaxy scaling relation for low-mass galaxies, specifically those with Mgalaxy around ten six to nine Msun <ref:2610.12398#pg5>.
Subrahmanyan: That scaling is particularly valuable because previous models struggled to describe that regime of low-mass galaxies accurately; this approach ties the seed mass directly to the local environment, which is a big step forward for galaxy modeling.
Jocelyn: They also show how they can control the comparison between different seeding models by running constrained simulations in an overdense region, instead of just making a statistical prediction for all of cosmology <ref:2610.12398#pg5>.
The paper's improvements: Vera: So, wrapping up ACORN I Massive Black Hole Seeding and Tidal Disruption Events from Star Clusters in Cosmological Simulations, the paper shows that this star-cluster-based seeding model produces a strong link between black holes and their host environments.
Jocelyn: It connects the abundance of black holes to where they form—meaning more seeds are produced within the same dark matter halo because multiple black holes can form in situ <ref:2610.12398#pg5>.
Subrahmanyan: The paper also shows that the central black hole masses increase systematically with galaxy masses, and that the seed mass distribution follows a power-law with a slope of-one similar to what we see in other simulations like AMBRA and ASTRID <ref:2610.12398#pg5>.
Vera: It confirms that massive seeds form preferentially in those massive, compact, and metal-poor star clusters we identified earlier.
Jocelyn: And they show how the occupation fraction of these black holes gradually increases with both total halo mass and halo stellar mass <ref:2610.12398#pg5>.
Subrahmanyan: It’s a solid framework for understanding how galaxy growth relates to the seeds we start with, which is crucial for connecting early universe physics to what we observe today.
Vera: So, this work on ACORN I Massive Black Hole Seeding and Tidal Disruption Events from Star Clusters in Cosmological Simulations really gives us a physical connection between the stars in a cluster and the massive black holes that live around them.
Jocelyn: It opens up new ways to test these models by allowing for controlled comparisons in extreme overdense regions, and it offers better predictions for low-mass galaxies <ref:2610.12398#pg5>.
Subrahmanyan: It’s a step toward a more self-consistent picture where the black hole seed mass is determined self-consistently from its host star cluster properties, which is what we need to move forward in this field.
Conclusion: Vera: So we’ve been looking at ACORN I Massive Black Hole Seeding and Tidal Disruption Events from Star Clusters in Cosmological Simulations, and what this study really nails is how the formation of those massive black hole seeds is tied directly to the local environment.
Jocelyn: Exactly. They show that by modeling the star clusters—how they evolve through stellar deaths and collisions—you get a much more physical picture than just picking a random seed mass <ref:2610.12398#pg5>.
Subrahmanyan: And the implication for me is that we're finally getting a way to connect the very small-scale star cluster physics, like metallicity and stellar winds, to the massive black holes we see at high redshift.
Vera: Right. They set a minimum seed mass of one hundred three h-1Msun, which filters out the really tiny ones, but they also show that because multiple black holes can form in one halo <ref:2610.12398#pg5>, you get a much more abundant population than if you only looked at gas or halo models.
Jocelyn: And the part about TDEs is interesting because it shows how these seeds actually start feeding, especially when they are in binary systems, which can be boosted by things like the Kozai-Lidov mechanism <ref:2610.12398#pg3>.
Subrahmanyan: That goes back to the core idea of this paper, linking the environment—the cluster mass and metallicity—to both how many seeds you get and what mass those seeds end up having.
Vera: The scaling relation for low-mass galaxies is what really stands out here because it addresses a regime that previous seeding models just couldn't handle well <ref:2610.12398#pg5>.
Jocelyn: It’s like they’re giving us a better yardstick to predict how black holes grow in those smaller systems we observe out there.
Subrahmanyan: And looking ahead, the constrained simulation approach is useful because it lets us test these different physical rules directly, not just make a statistical guess about the whole universe <ref:2610.12398#pg5>.
Vera: It’s a solid piece of work on ACORN I Massive Black Hole Seeding and Tidal Disruption Events from Star Clusters in Cosmological Simulations.
Jocelyn: It really shows that the seeds we start with matter way more than we thought when we look at them through the lens of star cluster evolution.
Subrahmanyan: This makes me think about how this same idea might apply to other processes, like those gravitational wave recoils we’ve been looking into recently.
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