Evidence for orbital eccentricity supports a hierarchical origin for GW231123

arXiv:2610.12205 · astro-ph.HE, gr-qc · Submitted 2026-10-08 · Read on arXiv

Listen

Radio episode about this paper

Transcript

Introduction to the show: ident: Astrophysics Radio. Generated commentary on the latest astrophysics papers.

Vera: Today's paper: "Evidence for orbital eccentricity supports a hierarchical origin for GW231123".

Jocelyn: The gist GW231123 is better described as an eccentric binary black-hole merger, which provides a coherent dynamical interpretation in which residual eccentricity, a mass-gap black hole,

Vera: First, who's behind it and why it matters.

Paper summary: Vera: So we’ve looked at the data for GW231123 and seen that this massive merger is likely eccentric, which really changes how we see its formation history.

Jocelyn: The paper's title is "Evidence for orbital eccentricity supports a hierarchical origin for GW231123," and it’s about linking that eccentricity to a specific way these black holes formed in a dense region.

Subrahmanyan: What this means is that the residual eccentricity we found, plus the fact that it's a mass-gap black hole, and that remnant-like spin, all fit together naturally if they come from a hierarchical merger channel.

Vera: They’re suggesting the secondary black hole might actually be a remnant from a merger with smaller progenitor spins. That fits right into the pair-instability mass gap we’ve been studying for those objects.

Jocelyn: They also checked their results by running injection-recovery studies, and those checks confirmed that real data inferences line up with the eccentricity they measured across different frequency bands.

Subrahmanyan: It’s a coherent story then: an eccentric orbit, a mass-gap object, and a remnant spin all arising from that dense environment merging in steps.

Vera: This interpretation gives us a dynamical picture of GW231123 that feels much more complete than just looking at the raw numbers.

Jocelyn: But there are still some nuances, like how adding point-mass microlensing didn't really shift the main preference away from eccentricity, keeping that Bayes factor around two point two seven <ref:2610.12205#pg8>.

Subrahmanyan: So we’ve established this hierarchical interpretation based on orbital dynamics and spin changes.

Vera: Now we need to look at what these findings imply for the broader population of these massive mergers out there in the universe.

Conclusion: Vera: So we’re wrapping up our look at GW231123 and its orbit, which is basically saying this massive merger isn't just a simple pair colliding head-on, but something that happened in stages over time.

Jocelyn: That’s what the paper titled "Evidence for orbital eccentricity supports a hierarchical origin for GW231123" is really about—they are linking that eccentricity directly to how these black holes merged in a dense environment.

Subrahmanyan: Think about it this way: they’re suggesting that the residual eccentricity we measured, plus the fact that this object is in the mass-gap region, and its remnant spin all fit together naturally if they came from a hierarchical merger channel.

Vera: It implies that the secondary black hole might actually be a remnant from a smaller merger with less massive progenitor spins, which fits right into what we think about those pair-instability mass gaps.

Jocelyn: They also double-checked their findings using injection–recovery studies, and those checks confirmed that the real data inferences line up with the eccentricity they measured across different frequency bands.

Subrahmanyan: It paints a coherent picture where an eccentric orbit, a mass-gap object, and a remnant spin all arise from that dense environment merging in steps.

Vera: This whole interpretation gives us a dynamical view of GW231123 that feels much more complete than just looking at the raw waveform numbers we first saw.

Jocelyn: But there are still some caveats, like how adding point-mass microlensing didn't really shift the main preference for eccentric orbital dynamics, keeping the log Bayes factor between the eccentric and quasi-circular hypotheses at two point two seven.

Subrahmanyan: So we’ve established this hierarchical interpretation based on how the orbit changed and how the spins shifted.

Vera: Now we need to look at what these findings imply for all those other massive mergers out there in the universe that we're trying to find.

Baoxiang Wang, Tao Yang, *Zhoujian Cao, Bin Hu, *Xikai Shan, *Rong-Gen Cai

School of Physics and Technology, Wuhan University · School of Physics and Astronomy, Beijing Normal University · Max Planck Institute for Gravitational Physics (Albert Einstein Institute) · Zhejiang Key Laboratory of Extreme Universe, Ningbo University · Institute of Fundamental Physics and Quantum Technology, Ningbo University

astro-ph.HE, gr-qc

Submitted: 2026-10-08

Updated: 2026-10-08

Comments: 12 pages, 7 figures, comments welcome

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Importance score: 89/100

The gist: The gist GW231123 is better described as an eccentric binary black-hole merger, which provides a coherent dynamical interpretation in which residual eccentricity, a mass-gap black hole, and a

Key concepts

Eccentric Binary Black Hole Merger
This describes a binary system where the two black holes do not orbit in perfect circles but have an elliptical path. The analysis tested whether this non-circular motion better explains the observed gravitational wave signal from GW231123 compared to a perfectly circular orbit.
Bayes Factor
A Bayes factor is a statistical tool used to compare two competing models—in this case, an eccentric model versus a quasi-circular one. A higher Bayes factor indicates stronger statistical evidence supporting the eccentric interpretation of the GW signal.
Hierarchical Merger Origin
This suggests that GW231123 might not be a direct merger but rather the result of a prior interaction. The findings imply that residual eccentricity, combined with other features, naturally arise from a complex, hierarchical merger process in a dense region of space.

Terminology

Summary

The gist GW231123 is better described as an eccentric binary black-hole merger, which provides a coherent dynamical interpretation in which residual eccentricity, a mass-gap black hole, and a remnant-like spin arise naturally from a hierarchical merger channel in a dense environment<ref:2610.12205#pg2>.

Evidence for orbital eccentricity

The analysis of GW231123 over 11–448 Hz using the eccentric, spin-precessing effective-one-body waveform model TEOBResumS–Dalí shows evidence favoring an eccentric interpretation over its quasi-circular counterpart with a Bayes factor of 10.2<ref:2610.12205#pg4>. The marginalized posterior for the eccentricity at 5.5 Hz is measured as e5.5 Hz = 0.34+0.12−0.23, which is obtained from the real data and is in favor of the eccentric model<ref:2610.12205#pg4>. This eccentricity inference at 10 Hz from the 20–448 Hz band yields e10 Hz = 0.12+0.27−0.11, which is consistent with previous analyses of GW231123 over the same frequency range<ref:2610.12205#pg5>.

Injection–recovery consistency analysis

Consistency checks using injection–recovery analyses confirm the eccentricity inference across different frequency bands<ref:2610.12205#pg5>. Recovering the injection over 11–448 Hz with eccentricity defined at 5.5 Hz gives e5.5 Hz = 0.37+0.09−0.14, which is in excellent agreement with the eccentricity inferred from the GW231123 data<ref:2610.12205#pg5>. Similarly, recovering the injection over 20–448 Hz with eccentricity defined at 10 Hz gives e10 Hz = 0.14+0.24−0.12, which is also consistent with the corresponding GW231123 result<ref:2610.12205#pg6>. This agreement strengthens confidence in the eccentricity inference and shows that a genuinely eccentric signal can reproduce real data inferences without requiring a particular detector noise realization<ref:2610.12205#pg7>.

Eccentricity brings the secondary spin closer to the merger-remnant scale

Allowing eccentricity substantially changes the inferred secondary-spin distribution of GW231123, shifting the posterior median to a2 = 0.74+0.23−0.62 in the 11–448 Hz analysis, compared to a quasi-circular value of a2 = 0.90+0.08−0.22<ref:2610.12205#pg4>. This shift extends the distribution towards substantially smaller spins, which is close to the characteristic spin expected for a black hole merger remnant<ref:2610.12205#pg4>. The primary spin posterior remains concentrated at large values under both orbital hypotheses, while the secondary spin responds much more strongly to eccentricity<ref:2610.12205#pg5>.

Astrophysical implications of the two components

The results reveal a strongly component-dependent response to the orbital model, where excluding eccentricity causes a dominant change in the secondary spin magnitude while the primary remains rapidly spinning<ref:2610.12205#pg5>. The eccentric secondary-spin posterior extends around a2 = 0.7, close to the characteristic spin of a remnant from a comparable-mass black hole merger with small progenitor spins<ref:2610.12205#pg5>. This, combined with the secondary mass posterior overlapping the pair-instability gap, provides a natural hierarchical merger interpretation for the secondary<ref:2610.12205#pg5>. The primary spin remains large under both orbital hypotheses, and its mass posterior extends substantially towards and beyond the upper part of the pair-instability-gap range, suggesting it may encode a different formation history than the secondary<ref:2610.12205#pg5>.

Broader source parameter consistency

The injection–recovery results show good agreement with GW231123 results across the broader source parameter space, including component spins and masses<ref:2610.12205#pg5>. The injected eccentric signal reproduces not only the eccentricity and spin behaviour but also the overall source parameter constraints inferred for GW231123, providing an additional eventspecific consistency check<ref:2610.12205#pg5>. This broader agreement across different frequency configurations shows that the observed frequency- and waveform-dependent behaviour can be naturally reproduced by a genuinely eccentric GW231123-like signal without requiring a particular detector noise realization<ref:2610.12205#pg5>.

Point-mass microlensing extension

Extending the eccentric and quasi-circular spin-precessing source models to include wave-optics amplification of an isolated point-mass lens does not materially change the inferred eccentricity or the relative preference for eccentric over quasi-circular orbital dynamics<ref:2610.12205#pg8>. The log Bayes factor between the eccentric and quasi-circular hypotheses when point-mass lensing is included remains ln Becc/qc = 2.27, which is consistent with that obtained for the corresponding unlensed models<ref:2610.12205#pg8>. This suggests that part of the apparent lensing preference may reflect source physics not captured by the waveform models used in those analyses, potentially including orbital eccentricity<ref:2610.12205#pg8>. The eccentric interpretation also changes the formation picture suggested for GW231123, motivating a simpler, asymmetric picture where the secondary may be a hierarchical merger remnant rather than a black hole formed directly above the pair-instability gap<ref:2610.12205#pg9>.

Methods

The analysis uses 8s data segments from LIGO Hanford (H1) and Livingston (L1) detectors, with H1 using BayesWave glitchsubtracted strain data over 11–448 Hz and L1 adopting a lower frequency cutoff of 20 Hz<ref:2610.12205#pg10>. Waveforms are generated using the spin-precessing TEOBResumS–Dalí framework, including all l ≤ 4 gravitational wave modes<ref:2610.12205#pg10>. The eccentricity is specified at a reference (2, 2)-mode gravitational wave frequency of 5.5 Hz for the 11–448 Hz analysis and 10 Hz for the 20–448 Hz analyses<ref:2610.12205#pg10>. Bayesian inference is performed using Bilby and dynesty, with eccentricity prior uniform over e ∈ [0, 0.5] and mean anomaly uniform over [0, 2π]<ref:2610.12205#pg10>. Calibration uncertainty is marginalized using cubicspline corrections for both detectors<ref:2610.12205#pg10>. The point-mass microlensing extension involves multiplying the unlensed frequency-domain waveform by an amplification factor derived from lens parameters MzL and y<ref:2610.12205#pg10>.

References

[1] A G Abac et al. GW231123: A Binary Black Hole Merger with Total Mass 190–265 M⊙. Astrophys J Lett., 993(1):L25, 2025. doi: 10.3847/2041-8213/ae0c9c<ref:2610.12205#pg7>.

[4] Hui Tong et al. Evidence of the pair-instability gap from black-hole masses. Nature, 652(8111):874–877, 2026. doi: 10.1038/s41586-026-10359-0<ref:2610.12205#pg5>.

[9] Aasim Jan, Sophia Nicolella, Deirdre Shoemaker, and Richard O’Shaughnessy. Measuring eccentricity and addressing waveform systematics in GW231123. Phys Rev. D, 113(8):084052, 2026. doi: 10.1103/ly9b-w75v<ref:2610.12205#pg10>.

[3] S E Woosley. Pulsational Pair-Instability Supernovae. Astrophys J., 836(2):244, 2017.

Improvements for AI systems

  1. No longer relying solely on quasi-circular waveform models for binary black hole (BBH) inference; specifically, incorporating an eccentric, spin-precessing effective-one-body waveform model TEOBResumS–Dalí allows the AI to detect and quantify orbital eccentricity. This enables the AI to obtain a Bayes factor of 10.2 in favor of the eccentric model over its quasi-circular counterpart for events like GW231123, providing a more accurate dynamical interpretation of hierarchical merger channels.

  2. Improved secondary spin inference by incorporating eccentricity; when eccentricity is included, allowing eccentricity substantially changes the inferred secondary-spin distribution, shifting the posterior median to a2 ≃ 0.7, close to the characteristic spin expected for a black-hole merger remnant. This allows the AI to better distinguish between residual eccentricity and spin precession effects when only a few cycles are observed.

  3. Refined component formation modeling; the analysis reveals that the secondary of GW231123 may itself be a hierarchical merger remnant rather than a black hole formed directly above the pair-instability gap, as the compatibility with simple 1G + 1G mergers is only O(10-3) for the primary. This allows AI systems to develop more nuanced, component-dependent formation histories based on observed spin and mass distributions.

  4. Enhanced parameter consistency checks; injection–recovery analyses allow the AI to test model robustness by showing that the injected signal closely reproduces the real data inference, even when using different frequency bands (11–448 Hz vs 20–448 Hz). This consistency check ensures that observed frequency- and waveform-dependent behavior is naturally reproduced by a genuinely eccentric GW231123-like signal without requiring a particular detector noise realization.

Sources

Related papers