Modern astrophysics is undergoing a revolution thanks to detectors of gravitational waves, which, traveling at the speed of light, allow us to observe black hole mergers directly. Back in the early 20th century, Karl Schwarzschild obtained the exact solution of Einstein's equations for a black hole, and half a century later, Joseph Weber began attempts to detect gravitational waves, laying the groundwork for modern LIGO and Virgo observatories. The mystery of the origin of binary black hole systems remains key: are they born in isolation or through complex interactions in dense clusters and disks of active galactic nuclei, which were studied by Edwin Hubble when classifying extragalactic nebulae? Of particular interest are systems with rapidly spinning and massive components—such characteristics are hard to explain with standard evolution, pointing to the possibility of hierarchical mergers, where one of the black holes is a descendant of a previous collision.
To test the hierarchical merger hypothesis, the authors applied Bayesian analysis, comparing the probability of the data under the assumption that both components are first-generation black holes (1G+1G) with scenarios where the primary black hole is the result of a previous merger (2G+1G or 3G+1G) in a star cluster or an active galactic nucleus disk. Population models were built recursively based on the LIGO-Virgo-KAGRA event catalog, and the properties of merging remnants were computed using surrogate models from numerical relativity. A critical factor was accounting for the kick velocity: if the remnant receives too strong a "kick", it escapes the system and cannot participate in subsequent mergers. Data from the Hubble Space Telescope and other instruments, showing the structure of active nuclei, motivate the choice of disk parameters.
Both events—GW241011 and GW241110—clearly favor the 2G+1G scenario over 1G+1G. Bayes factors for GW241011 reach values from 6.5 to 8.6 depending on the signal model and environment, and for GW241110 from 3.0 to 4.5. This confirms that the primary black holes in these systems are likely remnants of previous mergers. Interestingly, models with an active galactic nucleus disk yield slightly higher values than clusters, which is linked to the distribution of spin tilts: GW241011 shows an aligned spin, while GW241110 shows an anti-aligned spin, which is more naturally realized in the disk geometry. Additionally, analysis of the 3G+1G scenario for GW241011 did not provide a decisive advantage: the Bayes factor relative to 2G+1G ranges from -1.9 to 1.1, indicating insufficient statistical significance.
The discovery confirms the reality of hierarchical mergers in nature and refines our understanding of the black hole population. The preference for active galactic nucleus disk scenarios highlights the importance of the gaseous environment in binary evolution. In the future, such studies will help link gravitational wave observations with electromagnetic signals, ushering in the era of multi-messenger astronomy. For definitive confirmation, spectroscopy of the lines of hydrogen and other elements in the spectra of active nuclei will be needed. The findings also have implications for dark matter models, where a portion of it could consist of primordial black holes formed in the early universe.
The topic will evolve with accumulating data: future observing runs of LIGO-Virgo-KAGRA and next-generation telescopes like the Einstein Telescope will detect more such events and enable population analyses. Improved environmental models, including detailed gas dynamics of disks, will refine predictions for electromagnetic counterparts.
The results will impact the astrophysics of compact objects, stellar evolution theory, and the dynamics of dense systems, as well as the development of multi-messenger astronomy techniques.
Next steps include a deeper investigation of systematic errors, accounting for selection effects, and long-term monitoring of the electromagnetic counterpart candidate.
Hierarchical mergers connect the problem of massive black hole origins with cluster and accretion disk dynamics, and also touch on issues of spin retention and kicks, which can affect population estimates and merger rates for future detectors.
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What the work does
The authors performed a Bayesian analysis of events GW241011 and GW241110, comparing 1G+1G, 2G+1G, and 3G+1G scenarios in star cluster and active galactic nucleus disk environments. They used recursive population models and surrogate merger models, accounting for recoil kicks. Both events favored the 2G+1G scenario, with Bayes factors of 6.5–8.6 for GW241011 and 3.0–4.5 for GW241110, with disk models yielding slightly higher values.
Where its strength is
A strong point is the direct comparison of hierarchical scenarios with recoil kicks and spin tilts included, which allowed distinguishing the contributions of clusters and AGN disks.
Where it could go next
Worth trying
Why this may matter
Confirming hierarchical mergers refines the growth pathways of black holes and may link observations to fundamental tests of gravity.
Nearby works in our archive
The archive is crowded around this work: 3 reviews nearby, closest at 0.71. This ground is well walked — and there is plenty to compare against.
Descendant black holes from mergers have a predictable spin: almost always about 0.7 of the maximum Kerr value. This universal property makes them easily identifiable in gravitational-wave data.