Pith. sign in

REVIEW 1 major objections 5 minor 76 references

Eccentricity sharply improves neutron star-black hole parameter estimation, boosting mass-ratio and spin constraints by factors of 10–20.

Reviewed by Pith at T0; open to challenge. T0 means a machine referee read the full paper against a public rubric. the ladder, T0–T4 →

T0 review · deepseek-v4-flash

2026-08-03 01:52 UTC pith:QXHOAKZQ

load-bearing objection Solid injection-recovery study showing eccentricity sharpens intrinsic NSBH parameters, but the headline improvement factors are likely inflated by the circular baseline being recovered with an eccentric model that leaves eccentricity as an unconstrained parameter. the 1 major comments →

arxiv 2607.16135 v2 pith:QXHOAKZQ submitted 2026-07-17 astro-ph.HE

Impact of eccentricity and higher-modes on neutron star-black hole parameter estimation

classification astro-ph.HE
keywords gravitational wavesneutron star-black hole binarieseccentricityparameter estimationhigher-order modesGW200105Bayesian inferenceeffective spin
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved

The pith

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The paper argues that orbital eccentricity carries substantial information for neutron star-black hole binaries, and that ignoring or marginalizing it throws away major gains in parameter estimation. Using controlled injections of GW200105-like signals, it shows that as injected eccentricity rises to 0.25, the recovered precision of mass ratio improves by a factor of ~20 and effective spin by ~13, while eccentricity itself is measured to ~4e-4. The same eccentricity leaves luminosity distance and sky location essentially unchanged, meaning the added information is concentrated in intrinsic source properties. If true, eccentric NSBH detections will support much tighter astrophysical conclusions, such as recovering the sign of a small effective spin.

Core claim

For face-on, non-precessing NSBH systems similar to GW200105 at network SNR 20, increasing initial eccentricity from 0 to 0.25 sharpens the posterior on mass ratio q by a factor of ~20, on effective spin chi_eff by ~13, and on eccentricity itself to a 1-sigma uncertainty as low as 4e-4. The improvement is largely carried by the quadrupole (l=2) modes, which supply ~98.5% of the signal power; higher-order modes contribute only ~1.5% and do not change the picture. Extrinsic parameters — luminosity distance, inclination, sky location — improve by at most ~9%, indicating that eccentricity enriches the phase/time-frequency structure used for intrinsic inference but adds little angular information

What carries the argument

The information carrier is the eccentric orbital phase: eccentricity generates sideband harmonics and relativistic periastron precession in the inspiral's time-frequency evolution, breaking degeneracies among chirp mass, mass ratio, and effective spin. The study defines eccentricity e and relativistic anomaly ζ at a reference frequency of 19 Hz, and uses the aligned-spin eccentric waveform model SEOBNRv5EHM, with higher multipoles up to l=4, for both injecting the signals and recovering parameters via full Bayesian inference. A fixed-SNR injection-recovery design (SNR 20, zero noise) isolates the information content of eccentricity from signal-strength effects.

Load-bearing premise

The waveform model used both to simulate and to analyze the signals faithfully represents real eccentric neutron star-black hole mergers, so the precision measured in these self-injections reflects true information content.

What would settle it

Recover the same injected SEOBNRv5EHM signals using an independently calibrated eccentric waveform family (or inject with one model and recover with the other) at the same SNR; if the improvement factors for mass ratio and effective spin drop sharply or posterior biases appear, the claim would be falsified. A simpler check: add realistic detector noise realizations; if the 1-sigma eccentricity uncertainty at e=0.25 rises above ~1e-3, the quoted precision does not hold in realistic conditions.

Watch this falsifier — get emailed when new claim-graph text bears on it.

If this is right

  • Measurable eccentricity in NSBH events substantially multiplies the precision of intrinsic astrophysical parameters, so analyses that assume circular orbits understate what can be learned.
  • Small spin signals such as chi_eff = -0.065 can have their sign confidently recovered at e=0.25, potentially distinguishing aligned from anti-aligned spin configurations.
  • Luminosity distance and sky localization gain almost nothing from eccentricity, so eccentric NSBHs will not directly aid standard-siren cosmology or source localization.
  • The improvements are driven almost entirely by the quadrupole emission, so they persist even when higher-order modes are weak or neglected.
  • At higher SNRs and in next-generation detectors the intrinsic-parameter gains should grow further, and higher-mode content may then also start constraining viewing geometry.

Where Pith is reading between the lines

These are editorial extensions of the paper, not claims the author makes directly.

  • The reported factors are likely optimistic because injection and recovery use the same waveform model in zero noise; real analyses with noise realizations and model uncertainty will show smaller gains.
  • A decisive test is to cross-recover eccentric injections with an independent waveform family; if the q and chi_eff improvements vanish, the effect is model-dependent.
  • The absence of distance-inclination improvement suggests eccentric NSBHs are not useful as bright standard sirens via better distance measurement, redirecting expectations for multi-messenger cosmology.
  • One can extend the protocol to the real GW200105 event: run the same pipeline on actual data and compare posterior widths with the injection-recovery predictions to gauge how much of the information survives.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit.

Referee Report

1 major / 5 minor

Summary. The paper presents a systematic injection-recovery parameter-estimation study of neutron star–black hole binaries modelled on GW200105_162426, using the eccentric aligned-spin effective-one-body waveform SEOBNRv5EHM with higher modes through l=4. Injections with reference eccentricity e_19 = 0, 0.1, 0.25 and inclinations 0, pi/6, pi/3 are placed in zero noise at fixed optimal network SNR of 20 and analyzed with RIFT using the same waveform family. The main quantitative claims are that, as injected eccentricity increases, posteriors for eccentricity, mass ratio, effective spin, and component masses tighten dramatically—factor ~18 for e, ~20 for q, ~13 for chi_eff at e_19 = 0.25 relative to the e_19 = 0 run—while luminosity distance, sky location, and inclination improve by at most about 10%. Higher-order modes contribute only about 1.5% of the SNR and are found to have minor impact.

Significance. If confirmed, the paper's central finding is significant for the interpretation of eccentric NSBH detections: it quantifies the additional information that eccentricity adds to intrinsic-parameter inference and provides a clear negative result for extrinsic parameters. The study is carefully designed: fixed SNR isolates eccentricity effects from signal-strength effects, a state-of-the-art eccentric waveform model is used, and the posterior-width tables (Tables IV–V) make the improvement-factor computation transparent. The principal caveat is that the gains are measured in self-injection runs and, as detailed below, the baseline used for the improvement factors may not be the appropriate quasi-circular control.

major comments (1)
  1. [Eq. (1), Table II; Secs. II and III A] The denominator sigma_circ in Eq. (1) is the posterior width for the e_19=0 injection recovered with SEOBNRv5EHM, which includes eccentricity and relativistic anomaly as free parameters. The authors note in Sec. III A that the e=0 eccentricity posterior is influenced by the prior boundary, and Fig. 2 shows correlations between e (and zeta) and q and chi_eff. Consequently, the improvement factors for q and chi_eff may partly measure the broadening of a circular-signal analysis by an unconstrained eccentric template, rather than only the information gained from genuinely eccentric signal content. This is not a purely semantic issue: the headline factors of ~13 and ~20 could change substantially if the e=0 baseline is reanalyzed with a quasi-circular model or with e fixed to zero. I request this control run and a recomputation of the improvement factors; without it, the abstract's quantitat
minor comments (5)
  1. [Table III] The prior entry 'Mdet Uniform in component masses 3.6−3.64 M_sun' is unclear. Please specify whether this is a detector-frame chirp-mass prior and whether it is uniform in chirp mass or in component masses; the range appears centered near the injected chirp mass and should be justified if intended, since it is not obviously 'agnostic'.
  2. [Abstract and throughout] The event name is written as 'GW200105 162426' in several places; use 'GW200105_162426' consistently.
  3. [Sec. II] Typo: 'acummulating' should read 'accumulating'.
  4. [Fig. 9 caption] The caption refers to 'Sec. 1' but should refer to Sec. III A or the appropriate section of the paper.
  5. [Sec. III A / Table IV] For the e=0 case, the eccentricity posterior is described as prior-boundary-influenced. Reporting only sigma_e for a truncated distribution is not directly comparable to the eccentric cases; please also report a credible interval or the full 1D posterior for this case.

Circularity Check

0 steps flagged

No significant circularity: the improvement factors are measured posterior widths from explicit injection-recovery runs, not quantities forced by construction.

full rationale

The paper's central claims are quantitative posterior-width comparisons from a controlled injection-recovery study. The improvement factor in Eq. (1) is defined as the ratio of measured standard deviations, sigma_circ/sigma_ecc, and the reported factors in Table II are directly computed from the posteriors, not fitted to the quantities they are used to predict. No parameter is defined in terms of the target result; no equation reduces an output to an input by construction. The same waveform model (SEOBNRv5EHM) is used for both injection and recovery, which means the results characterize the information content of that model rather than an external data set, but this is a modeling choice, not a circular derivation. The e=0 baseline is recovered with the eccentric model, so the denominator for the improvement factors may be broadened by the unconstrained eccentricity parameter; the paper itself notes the prior-boundary influence for e, and this is a methodological caveat about the baseline, not a definitional equivalence. Self-citations (e.g., Jan et al. [56]) are not load-bearing: the exclusion of tides relies on independent references [1,57], and the population reference [76] is only a pointer. No 'prediction' is identical to an input by construction, so the paper is not circular; the mild self-referential design and baseline caveat warrant a low score rather than a finding of circularity.

Axiom & Free-Parameter Ledger

2 free parameters · 5 axioms · 0 invented entities

This is a simulation study, not a first-principles derivation. The central claims rest on the waveform model's fidelity, the neglect of tides and precession, and the design choice of zero-noise self-consistent injection/recovery. No numbers are fitted to real data; the injection parameters are hand-picked to mimic GW200105. No new physical entities are introduced.

free parameters (2)
  • GW200105-anchored injection parameters = m1,det=8.74 Msun; m2,det=2.16 Msun; chi1z=-0.07; chi2z=-0.03; alpha=1.70 rad; delta=-0.13 rad; psi=1.19 rad; phic=3.18 r
    Chosen by hand from the maximum-likelihood point of the IMRPhenomNSBH (LowSpin) analysis of GW200105 (refs. [58,59]). The reported improvement factors are specific to this parameter point and change with masses, spins, and SNR.
  • Optimal network SNR = 20.0
    Luminosity distance is adjusted per injection to keep the optimal network SNR at 20. This isolates eccentricity effects from signal strength, but the quantitative factors will change at other SNRs, as the authors acknowledge for next-generation detectors.
axioms (5)
  • domain assumption SEOBNRv5EHM accurately represents eccentric, aligned-spin NSBH signals, including higher modes up to lmax=4, for both injection and recovery.
    Sec. II uses SEOBNRv5EHM for both injection and PE; any waveform-model error is common to both and not tested, so the measured precision is model-internal.
  • domain assumption Tidal effects are negligible for GW200105-like systems with Mtot > 10 Msun and mild spins.
    Sec. II: 'we do not include tidal effects... such effects are expected to be negligible [1,57]', supported by a non-disruptive merger in NR simulations [56].
  • domain assumption Zero-noise, fixed-SNR injection-recovery with the same model isolates the information content of eccentricity.
    Sec. V: 'our zero-noise, fixed-SNR injections with a single waveform family isolate the information content of eccentricity but do not capture noise fluctuations or waveform systematics.'
  • domain assumption Non-precessing aligned spins are sufficient for GW200105-like systems.
    Sec. II: 'Consistent with the inferred spins of GW200105 in [12,56], we assume our systems are non-precessing.'
  • domain assumption Starting waveforms at fmin=fref=19 Hz and limiting to 32 s duration does not remove important signal content; missing higher-mode content has small effect.
    Sec. II: computational truncation; 'since we use the same waveform settings for both injection and PE recovery, we expect the effect of the missing higher mode content to be small.'

pith-pipeline@v1.3.0-alltime-deepseek · 16309 in / 14722 out tokens · 139297 ms · 2026-08-03T01:52:27.472436+00:00 · methodology

0 comments
read the original abstract

Detections of gravitational waves from neutron star-black hole systems provide avenues for studying extreme matter, constraining binary formation channels, and testing the nature of compact objects in strong gravity. Eccentric signatures in the signal further enhance this potential by improving parameter estimation and offering clues about binary formation. Because eccentricity is primarily imprinted during the inspiral phase, it is often weakly constrained or missed entirely in binary black hole observations; in contrast, neutron star-black hole systems produce longer in-band signals, enabling more precise measurements of eccentricity and leaving a distinct imprint on parameter inference. In this work, we present a systematic parameter-estimation study exploring the impact of eccentricity on inference using injections simulated with the state-of-the-art eccentric waveform model SEOBNRv5EHM. We find that for systems like GW200105_162426, the measurement precision of eccentricity and correlated parameters improves as eccentricity increases, yielding tighter constraints at larger eccentricities. For the highest eccentricity considered in this study, $e=0.25$, we recover eccentricity with $1\sigma$ uncertainty as low as $4\times10^{-4}$. In addition, the constraints on effective spin $\chi_\mathrm{eff}$ and mass ratio $q$ improve relative to the quasi-circular case by factors of $\sim13$ and $\sim20$, respectively. On the other hand, we find no significant improvement in extrinsic parameters such as luminosity distance and sky localization, suggesting that for systems like GW200105_162426, the additional information provided by eccentricity in this sector is either negligible or degenerate with the information provided by higher-order modes.

Figures

Figures reproduced from arXiv: 2607.16135 by Aaron Zimmerman, Aasim Jan, Hsin-Yu Chen, Snehal Tibrewal.

Figure 1
Figure 1. Figure 1: FIG. 1. 1D posteriors for intrinsic parameters compared across all 3 eccentricities: [PITH_FULL_IMAGE:figures/full_fig_p004_1.png] view at source ↗
Figure 2
Figure 2. Figure 2: FIG. 2. Corner plot for [PITH_FULL_IMAGE:figures/full_fig_p005_2.png] view at source ↗
Figure 3
Figure 3. Figure 3: FIG. 3. Corner plot for [PITH_FULL_IMAGE:figures/full_fig_p006_3.png] view at source ↗
Figure 4
Figure 4. Figure 4: FIG. 4. Corner plot for the luminosity distance [PITH_FULL_IMAGE:figures/full_fig_p007_4.png] view at source ↗
Figure 5
Figure 5. Figure 5: FIG. 5. Improvement factors, Eq. ( [PITH_FULL_IMAGE:figures/full_fig_p008_5.png] view at source ↗
Figure 6
Figure 6. Figure 6: FIG. 6. Similar to Fig [PITH_FULL_IMAGE:figures/full_fig_p009_6.png] view at source ↗
Figure 8
Figure 8. Figure 8: FIG. 8. Corner plot showing the [PITH_FULL_IMAGE:figures/full_fig_p011_8.png] view at source ↗
Figure 9
Figure 9. Figure 9: FIG. 9. Measured source-frame component masses for the face-on injections discussed in Sec. [PITH_FULL_IMAGE:figures/full_fig_p012_9.png] view at source ↗
Figure 10
Figure 10. Figure 10: FIG. 10. Corner plot with 2D and 1D posteriors for angular params for [PITH_FULL_IMAGE:figures/full_fig_p013_10.png] view at source ↗

discussion (0)

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

Reference graph

Works this paper leans on

76 extracted references · 44 linked inside Pith

  1. [1]

    Observation of Gravitational Waves from Two Neutron Star–Black Hole Coalescences,

    R. Abbottet al.(LIGO Scientific, KAGRA, VIRGO), “Observation of Gravitational Waves from Two Neutron Star–Black Hole Coalescences,” Astrophys. J. Lett.915, L5 (2021), arXiv:2106.15163 [astro-ph.HE]

  2. [2]

    A brief overview of black hole-neutron star mergers,

    Francois Foucart, “A brief overview of black hole-neutron star mergers,” Front. Astron. Space Sci.7, 46 (2020), 11 FIG. 8. Corner plot showing theq−χ eff degeneracy across all three eccentricities (left) and specifically fore 19 = 0.25 (right). In the plot on the left, the degeneracy appears to have been broken by eccentricity; But when zoomed-in (right),...

  3. [3]

    Remnant baryon mass in neutron star-black hole merg- ers: Predictions for binary neutron star mimickers and rapidly spinning black holes,

    Francois Foucart, Tanja Hinderer, and Samaya Nissanke, “Remnant baryon mass in neutron star-black hole merg- ers: Predictions for binary neutron star mimickers and rapidly spinning black holes,” Phys. Rev. D98, 081501 (2018), arXiv:1807.00011 [astro-ph.HE]

  4. [4]

    Kilonovae,

    Brian D. Metzger, “Kilonovae,” Living Rev. Rel.23, 1 (2020), arXiv:1910.01617 [astro-ph.HE]

  5. [5]

    Advanced LIGO,

    J. Aasiet al.(LIGO Scientific), “Advanced LIGO,” Class. Quant. Grav.32, 074001 (2015), arXiv:1411.4547 [gr-qc]

  6. [6]

    Advanced Virgo: a second- generation interferometric gravitational wave detector,

    F. Acerneseet al.(VIRGO), “Advanced Virgo: a second- generation interferometric gravitational wave detector,” Class. Quant. Grav.32, 024001 (2015), arXiv:1408.3978 [gr-qc]

  7. [7]

    KAGRA: 2.5 Generation In- terferometric Gravitational Wave Detector,

    T. Akutsuet al.(KAGRA), “KAGRA: 2.5 Generation In- terferometric Gravitational Wave Detector,” Nature As- tron.3, 35–40 (2019), arXiv:1811.08079 [gr-qc]

  8. [8]

    Observation of Gravitational Waves from the Coa- lescence of a 2.5–4.5 M ⊙ Compact Object and a Neutron Star,

    A. G. Abacet al.(LIGO Scientific, KAGRA, VIRGO), “Observation of Gravitational Waves from the Coa- lescence of a 2.5–4.5 M ⊙ Compact Object and a Neutron Star,” Astrophys. J. Lett.970, L34 (2024), arXiv:2404.04248 [astro-ph.HE]

  9. [9]

    GWTC-4.0: Updating the Gravitational-Wave Tran- sient Catalog with Observations from the First Part of the Fourth LIGO-Virgo-KAGRA Observing Run,

    A. G. Abacet al.(LIGO Scientific, VIRGO, KAGRA), “GWTC-4.0: Updating the Gravitational-Wave Tran- sient Catalog with Observations from the First Part of the Fourth LIGO-Virgo-KAGRA Observing Run,” (2025), arXiv:2508.18082 [gr-qc]

  10. [10]

    Open Data from the Third Observing Run of LIGO, Virgo, KAGRA, and GEO,

    R. Abbottet al.(KAGRA, VIRGO, LIGO Scientific), “Open Data from the Third Observing Run of LIGO, Virgo, KAGRA, and GEO,” Astrophys. J. Suppl.267, 29 (2023), arXiv:2302.03676 [gr-qc]

  11. [11]

    Detection of GW200105 with a targeted eccentric search,

    Khun Sang Phukon, Patricia Schmidt, Gonzalo Mor- ras, and Geraint Pratten, “Detection of GW200105 with a targeted eccentric search,” Phys. Rev. D (2026), 10.1103/cmtb-5q4b, arXiv:2512.10803 [gr-qc]

  12. [12]

    Orbital eccentricity in a neutron star - black hole bi- nary merger,

    Gonzalo Morras, Geraint Pratten, and Patricia Schmidt, “Orbital eccentricity in a neutron star - black hole bi- nary merger,” Astrophys. J. Lett.1000, L2 (2026), arXiv:2503.15393 [astro-ph.HE]

  13. [13]

    First eccentric inspi- ral–merger–ringdown analysis of neutron star–black hole mergers,

    Maria de Lluc Planas, Sascha Husa, Antoni Ramos- Buades, and Jorge Valencia, “First eccentric inspi- ral–merger–ringdown analysis of neutron star–black hole mergers,” The Astrophysical Journal995, 47 (2025)

  14. [14]

    GW200105: A detailed study of eccentricity in the neutron star- black hole binary,

    Aasim Jan, Bing-Jyun Tsao, Richard O’Shaughnessy, Deirdre Shoemaker, and Pablo Laguna, “GW200105: A detailed study of eccentricity in the neutron star- black hole binary,” Phys. Rev. D113, 024018 (2026), arXiv:2508.12460 [gr-qc]

  15. [15]

    Eccentricity signatures in ligo-virgo-kagra’s bns and nsbh binaries,

    Keisi Kacanja, Kanchan Soni, and Alexander Harvey Nitz, “Eccentricity signatures in ligo-virgo-kagra’s bns and nsbh binaries,” (2025), arXiv:2508.00179 [gr-qc]

  16. [16]

    Eccentric and unbound compact binaries in the LIGO-Virgo-KAGRA catalog: parameter estimation and waveform systematics with SEOBNRv6EHM,

    Lorenzo Pompili, Aldo Gamboa, and Alessandra Buo- nanno, “Eccentric and unbound compact binaries in the LIGO-Virgo-KAGRA catalog: parameter estimation and waveform systematics with SEOBNRv6EHM,” (2026), arXiv:2605.28716 [gr-qc]

  17. [17]

    Four Eccentric Mergers Increase the Evi- dence that LIGO–Virgo–KAGRA’s Binary Black Holes Form Dynamically,

    Isobel M. Romero-Shaw, Paul D. Lasky, and Eric Thrane, “Four Eccentric Mergers Increase the Evi- dence that LIGO–Virgo–KAGRA’s Binary Black Holes Form Dynamically,” Astrophys. J.940, 171 (2022), arXiv:2206.14695 [astro-ph.HE]

  18. [18]

    H. L. Iglesiaset al., “Eccentricity Estimation for 12 FIG. 9. Measured source-frame component masses for the face-on injections discussed in Sec. 1. Corner plot across all three eccentricities (left) showing greatly improved measurements with increasing eccentricity, and zooming in on thee 19 = 0.25 injection (right). Here we see visible compression in th...

  19. [19]

    Evidence for eccentricity in the population of binary black holes observed by LIGO- Virgo-KAGRA,

    Nihar Gupteet al., “Evidence for eccentricity in the population of binary black holes observed by LIGO- Virgo-KAGRA,” Phys. Rev. D112, 104045 (2025), arXiv:2404.14286 [gr-qc]

  20. [20]

    A comprehensive study of binary compact ob- jects as gravitational wave sources: Evolutionary chan- nels, rates, and physical properties,

    Krzysztof Belczynski, Vassiliki Kalogera, and Tomasz Bulik, “A comprehensive study of binary compact ob- jects as gravitational wave sources: Evolutionary chan- nels, rates, and physical properties,” The Astrophysical Journal572, 407–431 (2002)

  21. [21]

    Impact of mas- sive binary star and cosmic evolution on gravitational wave observations i: black hole–neutron star mergers,

    Floor S Broekgaarden, Edo Berger, Coenraad J Neijs- sel, Alejandro Vigna-G´ omez, Debatri Chattopadhyay, Si- mon Stevenson, Martyna Chruslinska, Stephen Justham, Selma E de Mink, and Ilya Mandel, “Impact of mas- sive binary star and cosmic evolution on gravitational wave observations i: black hole–neutron star mergers,” Monthly Notices of the Royal Astron...

  22. [22]

    Gw200115: A non- spinning black hole–neutron star merger,

    Ilya Mandel and Rory J. E. Smith, “Gw200115: A non- spinning black hole–neutron star merger,” The Astro- physical Journal Letters922, L14 (2021)

  23. [23]

    Gravitational radiation and the motion of two point masses,

    P. C. Peters, “Gravitational radiation and the motion of two point masses,” Phys. Rev.136, B1224–B1232 (1964)

  24. [24]

    Astrophysical Implications of Eccentricity in Gravitational Waves from Neutron Star-Black Hole Binaries,

    Isobel Romero-Shaw, Jakob Stegmann, Gonzalo Morras, Andris Dorozsmai, and Michael Zevin, “Astrophysical Implications of Eccentricity in Gravitational Waves from Neutron Star-Black Hole Binaries,” (2025), 10.1093/mn- ras/stag323, arXiv:2512.16289 [astro-ph.HE]

  25. [25]

    Lidov–kozai cycles with gravitational radiation: Merging black holes in iso- lated triple systems,

    Kedron Silsbee and Scott Tremaine, “Lidov–kozai cycles with gravitational radiation: Merging black holes in iso- lated triple systems,” The Astrophysical Journal836, 39 (2017)

  26. [26]

    Binary black hole mergers from field triples: Properties, rates, and the impact of stellar evolution,

    Fabio Antonini, Silvia Toonen, and Adrian S. Hamers, “Binary black hole mergers from field triples: Properties, rates, and the impact of stellar evolution,” The Astro- physical Journal841, 77 (2017)

  27. [27]

    Black hole–neutron star mergers from triples,

    Giacomo Fragione and Abraham Loeb, “Black hole–neutron star mergers from triples,” Monthly Notices of the Royal Astronomical Society486, 4443–4450 (2019)

  28. [28]

    Sur l’application des s´ eries de M. Lind- stedt ` a l’´ etude du mouvement des com` etes p´ eriodiques,

    H. von Zeipel, “Sur l’application des s´ eries de M. Lind- stedt ` a l’´ etude du mouvement des com` etes p´ eriodiques,” Astronomische Nachrichten183, 345 (1910)

  29. [29]

    The evolution of orbits of artificial satellites of planets under the action of gravitational perturbations of external bodies,

    M. L. Lidov, “The evolution of orbits of artificial satellites of planets under the action of gravitational perturbations of external bodies,” Planet. Space Sci.9, 719–759 (1962)

  30. [30]

    Secular perturbations of asteroids with high inclination and eccentricity,

    Yoshihide Kozai, “Secular perturbations of asteroids with high inclination and eccentricity,” Astronomical Journal 67, 591–598 (1962)

  31. [31]

    Giant metrewave radio tele- scope discovery of a millisecond pulsar in a very eccentric binary system,

    Paulo C. Freire, Yashwant Gupta, Scott M. Ransom, and C. H. Ishwara-Chandra, “Giant metrewave radio tele- scope discovery of a millisecond pulsar in a very eccentric binary system,” The Astrophysical Journal606, L53–L56 (2004)

  32. [32]

    Black hole and neutron star mergers in galactic nuclei,

    Giacomo Fragione, Evgeni Grishin, Nathan W C Leigh, Hagai B Perets, and Rosalba Perna, “Black hole and neutron star mergers in galactic nuclei,” Monthly Notices of the Royal Astronomical Society488, 47–63 (2019)

  33. [33]

    Ye, Kyle Kremer, Sourav Chatterjee, Carl L

    Claire S. Ye, Kyle Kremer, Sourav Chatterjee, Carl L. Rodriguez, and Frederic A. Rasio, “Millisecond pulsars 13 FIG. 10. Corner plot with 2D and 1D posteriors for angular params fore 19 = 0.1 injection (left) and fore 19 = 0.25 injection (right). All posteriors are reported at the reference frequency,f ref = 19 Hz. No unexpected correlations are observed ...

  34. [34]

    Dynamics of black hole–neutron star binaries in young star clusters,

    Sara Rastello, Michela Mapelli, Ugo N Di Carlo, Nicola Giacobbo, Filippo Santoliquido, Mario Spera, Alessan- dro Ballone, and Giuliano Iorio, “Dynamics of black hole–neutron star binaries in young star clusters,” Monthly Notices of the Royal Astronomical Society497, 1563–1570 (2020)

  35. [35]

    Compact object mergers in hierarchical triples from low-mass young star clusters,

    Alessandro A Trani, Sara Rastello, Ugo N Di Carlo, Filippo Santoliquido, Ataru Tanikawa, and Michela Mapelli, “Compact object mergers in hierarchical triples from low-mass young star clusters,” Monthly Notices of the Royal Astronomical Society (2022), 10.1093/mn- ras/stac122

  36. [36]

    The Universal Eccentricity Distri- bution for Dynamical Gravitational-Wave Merger Chan- nels,

    Mor Rozner, Teagan A. Clarke, Isobel M. Romero-Shaw, and Johan Samsing, “The Universal Eccentricity Distri- bution for Dynamical Gravitational-Wave Merger Chan- nels,” (2026), arXiv:2602.20110 [astro-ph.HE]

  37. [37]

    Orbital Eccen- tricity and Spin–Orbit Misalignment Are Evidence that Neutron Star–Black Hole Mergers Form through Triple Star Evolution,

    Jakob Stegmann and Jakub Klencki, “Orbital Eccen- tricity and Spin–Orbit Misalignment Are Evidence that Neutron Star–Black Hole Mergers Form through Triple Star Evolution,” Astrophys. J. Lett.991, L54 (2025), arXiv:2506.09121 [astro-ph.HE]

  38. [38]

    Mea- suring the eccentricity of binary black holes in GWTC-1 by using the inspiral-only waveform,

    Shichao Wu, Zhoujian Cao, and Zong-Hong Zhu, “Mea- suring the eccentricity of binary black holes in GWTC-1 by using the inspiral-only waveform,” Mon. Not. Roy. As- tron. Soc.495, 466–478 (2020), arXiv:2002.05528 [astro- ph.IM]

  39. [39]

    Gravitational waves from eccentric bi- nary neutron star mergers: Systematic biases and inad- equacy of quasicircular templates,

    Giulia Huez, Sebastiano Bernuzzi, Matteo Breschi, and Rossella Gamba, “Gravitational waves from eccentric bi- nary neutron star mergers: Systematic biases and inad- equacy of quasicircular templates,” Phys. Rev. D112, 084054 (2025), arXiv:2504.18622 [gr-qc]

  40. [40]

    The Cost of Circularity: Quantifying Eccentricity-Induced Biases in Binary Black Hole Infer- ence,

    Tamal RoyChowdhury, V. Gayathri, Rossella Gamba, Shubhagata Bhaumik, Imre Bartos, and Jolien Creighton, “The Cost of Circularity: Quantifying Eccentricity-Induced Biases in Binary Black Hole Infer- ence,” (2026), arXiv:2603.02453 [gr-qc]

  41. [41]

    System- atic Biases in Gravitational-Wave Parameter Estimation from Neglecting Orbital Eccentricity in Space-Based De- tectors,

    Jin-Zhao Yang, Jia-Hao Zhong, and Tao Yang, “System- atic Biases in Gravitational-Wave Parameter Estimation from Neglecting Orbital Eccentricity in Space-Based De- tectors,” (2026), arXiv:2601.07739 [gr-qc]

  42. [42]

    LISA Sensitivity and SNR Calculations,

    Stanislav Babak, Antoine Petiteau, and Martin Hewit- son, “LISA Sensitivity and SNR Calculations,” (2021), arXiv:2108.01167 [astro-ph.IM]

  43. [43]

    Parameter estimation for inspiraling eccentric compact binaries including pericenter preces- sion,

    Balazs Mikoczi, Bence Kocsis, Peter Forgacs, and Matyas Vasuth, “Parameter estimation for inspiraling eccentric compact binaries including pericenter preces- sion,” Phys. Rev. D86, 104027 (2012), arXiv:1206.5786 [gr-qc]

  44. [44]

    Accuracy of Estimating Highly Eccentric Binary Black Hole Parameters with Gravitational-Wave Detec- tions,

    L´ aszl´ o Gond´ an, Bence Kocsis, P´ eter Raffai, and Zsolt Frei, “Accuracy of Estimating Highly Eccentric Binary Black Hole Parameters with Gravitational-Wave Detec- tions,” Astrophys. J.855, 34 (2018), arXiv:1705.10781 [astro-ph.HE]

  45. [45]

    Measurement Accu- racy of Inspiraling Eccentric Neutron Star and Black Hole Binaries Using Gravitational Waves,

    L´ aszl´ o Gond´ an and Bence Kocsis, “Measurement Accu- racy of Inspiraling Eccentric Neutron Star and Black Hole Binaries Using Gravitational Waves,” Astrophys. J.871, 178 (2019), arXiv:1809.00672 [astro-ph.HE]

  46. [46]

    Constraining the orbital eccentricity of inspiralling compact binary systems with Advanced LIGO,

    Marc Favata, Chunglee Kim, K. G. Arun, JeongCho Kim, and Hyung Won Lee, “Constraining the orbital eccentricity of inspiralling compact binary systems with Advanced LIGO,” Phys. Rev. D105, 023003 (2022), arXiv:2108.05861 [gr-qc]

  47. [47]

    Eccentricity of Long Inspiraling Com- pact Binaries Sheds Light on Dark Sirens,

    Tao Yang, Rong-Gen Cai, Zhoujian Cao, and Hyung Mok Lee, “Eccentricity of Long Inspiraling Com- pact Binaries Sheds Light on Dark Sirens,” Phys. Rev. Lett.129, 191102 (2022), arXiv:2202.08608 [gr-qc]. 14

  48. [48]

    Gravitational wave source localiza- tion for eccentric binary coalesce with a ground-based detector network,

    Sizheng Ma, Zhoujian Cao, Chun-Yu Lin, Hsing-Po Pan, and Hwei-Jang Yo, “Gravitational wave source localiza- tion for eccentric binary coalesce with a ground-based detector network,” Phys. Rev. D96, 084046 (2017), arXiv:1710.02965 [gr-qc]

  49. [49]

    Accuracy of source localization for eccen- tric inspiraling binary mergers using a ground-based detector network,

    Hsing-Po Pan, Chun-Yu Lin, Zhoujian Cao, and Hwei- Jang Yo, “Accuracy of source localization for eccen- tric inspiraling binary mergers using a ground-based detector network,” Phys. Rev. D100, 124003 (2019), arXiv:1912.04455 [gr-qc]

  50. [50]

    Eccentricity enables the earliest warn- ing and localization of gravitational waves with ground- based detectors,

    Tao Yang, Rong-Gen Cai, Zhoujian Cao, and Hyung Mok Lee, “Eccentricity enables the earliest warn- ing and localization of gravitational waves with ground- based detectors,” Phys. Rev. D109, 104041 (2024), arXiv:2310.08160 [gr-qc]

  51. [51]

    Enhancing early detection and local- ization of gravitational waves via eccentricity-induced higher harmonic modes with 2G detector networks,

    Tao Yang, Rong-Gen Cai, Zhoujian Cao, and Hyung Mok Lee, “Enhancing early detection and local- ization of gravitational waves via eccentricity-induced higher harmonic modes with 2G detector networks,” Sci. China Phys. Mech. Astron.69, 260412 (2026), arXiv:2412.20664 [gr-qc]

  52. [52]

    Early warning from eccentric compact binaries: Tem- plate initialization and subdominant mode effects,

    Priyanka Sinha, R. Prasad, Mukesh Kumar Singh, Prayush Kumar, Akash Maurya, and Kaushik Paul, “Early warning from eccentric compact binaries: Tem- plate initialization and subdominant mode effects,” Phys. Rev. D113, 123060 (2026), arXiv:2507.07021 [gr-qc]

  53. [53]

    Testing the Nature of GW200105 by Probing the Frequency Evolution of Eccentricity,

    Avinash Tiwari, Sajad A. Bhat, Md Arif Shaikh, and Shasvath J. Kapadia, “Testing the Nature of GW200105 by Probing the Frequency Evolution of Eccentricity,” Astrophys. J.995, 48 (2025), arXiv:2509.26152 [astro- ph.HE]

  54. [54]

    A universal framework to identify eccentric binary mergers: GW200105 case study,

    Teagan A. Clarke, Isobel M. Romero-Shaw, Charlie Hoy, Jakob Stegmann, Paul D. Lasky, and Eric Thrane, “A universal framework to identify eccentric binary mergers: GW200105 case study,” (2026), arXiv:2605.18742 [astro- ph.HE]

  55. [55]

    Accurate waveforms for eccen- tric, aligned-spin binary black holes: The multipo- lar effective-one-body model seobnrv5ehm,

    Aldo Gamboa, Alessandra Buonanno, Raffi Enficiaud, Mohammed Khalil, Antoni Ramos-Buades, Lorenzo Pompili, H´ ector Estell´ es, Michael Boyle, Lawrence E. Kidder, Harald P. Pfeiffer, Hannes R. R¨ uter, and Mark A. Scheel, “Accurate waveforms for eccen- tric, aligned-spin binary black holes: The multipo- lar effective-one-body model seobnrv5ehm,” (2024), ar...

  56. [56]

    Gw200105: A detailed study of eccentricity in the neutron star-black hole binary,

    Aasim Jan, Bing-Jyun Tsao, Richard O’Shaughnessy, Deirdre Shoemaker, and Pablo Laguna, “Gw200105: A detailed study of eccentricity in the neutron star-black hole binary,” Phys. Rev. D113, 024018 (2026)

  57. [57]

    Statistical and systematic uncertainties in extracting the source properties of neutron star - black hole bina- ries with gravitational waves,

    Yiwen Huang, Carl-Johan Haster, Salvatore Vitale, Vi- jay Varma, Francois Foucart, and Sylvia Biscoveanu, “Statistical and systematic uncertainties in extracting the source properties of neutron star - black hole bina- ries with gravitational waves,” Phys. Rev. D103, 083001 (2021), arXiv:2005.11850 [gr-qc]

  58. [58]

    L VK Collaboration,https://gwosc.org/eventapi/ html/GWTC-3-marginal/GW200105_162426/v2/(2025)

  59. [59]

    GWTC-3: Compact Binary Coalescences Observed by LIGO and Virgo during the Second Part of the Third Observing Run,

    R. Abbottet al.(KAGRA, VIRGO, LIGO Scientific), “GWTC-3: Compact Binary Coalescences Observed by LIGO and Virgo during the Second Part of the Third Observing Run,” Phys. Rev. X13, 041039 (2023), arXiv:2111.03606 [gr-qc]

  60. [60]

    Novel scheme for rapid parallel parameter estimation of gravitational waves from com- pact binary coalescences,

    C. Pankow, P. Brady, E. Ochsner, and R. O’Shaughnessy, “Novel scheme for rapid parallel parameter estimation of gravitational waves from com- pact binary coalescences,” Phys. Rev. D92, 023002 (2015)

  61. [62]

    Expanding rift: Improving performance for gw parameter inference,

    J. Wofford, A. Yelikar, H. Gallagher, E. Cham- pion, D. Wysocki, V. Delfavero, J. Lange, C. Rose, V. Valsan, S. Morisaki, J. Read, C. Henshaw, and R. O’Shaughnessy, “Expanding rift: Improving performance for gw parameter inference,” (2023), arXiv:2210.07912 [gr-qc]

  62. [63]

    Narrowing rift: Focused simulation-based-inference for interpreting exceptional gw sources,

    Katelyn J. Wagner, R. O’Shaughnessy, A. Yelikar, N. Manning, D. Fernando, J. Lange, V. Tiwari, A. Fer- nando, and D. Williams, “Narrowing rift: Focused simulation-based-inference for interpreting exceptional gw sources,” (2025), arXiv:2505.11655 [astro-ph.IM]. [64]Noise Curves for use in simulations pre-O4, Tech. Rep. LIGO-T2200043-v3 (LIGO, 2022)

  63. [65]

    Post-Circular Expansion of Eccen- tric Binary Inspirals: Fourier-Domain Waveforms in the Stationary Phase Approximation,

    Nicolas Yunes, K. G. Arun, Emanuele Berti, and Clifford M. Will, “Post-Circular Expansion of Eccen- tric Binary Inspirals: Fourier-Domain Waveforms in the Stationary Phase Approximation,” Phys. Rev. D 80, 084001 (2009), [Erratum: Phys.Rev.D 89, 109901 (2014)], arXiv:0906.0313 [gr-qc]

  64. [66]

    GW190412: Observation of a Binary-Black-Hole Coalescence with Asymmetric Masses,

    R. Abbottet al.(LIGO Scientific, Virgo), “GW190412: Observation of a Binary-Black-Hole Coalescence with Asymmetric Masses,” Phys. Rev. D102, 043015 (2020), arXiv:2004.08342 [astro-ph.HE]

  65. [67]

    Parameter estimation with a spinning multimode waveform model,

    Chinmay Kalaghatgi, Mark Hannam, and Vivien Ray- mond, “Parameter estimation with a spinning multimode waveform model,” Phys. Rev. D101, 103004 (2020), arXiv:1909.10010 [gr-qc]

  66. [68]

    Parameter estimation of gravitational waves from precessing black hole-neutron star inspirals with higher harmonics,

    R. O’Shaughnessy, Benjamin Farr, E. Ochsner, Hee- Suk Cho, V. Raymond, Chunglee Kim, and Chang- Hwan Lee, “Parameter estimation of gravitational waves from precessing black hole-neutron star inspirals with higher harmonics,” Phys. Rev. D89, 102005 (2014), arXiv:1403.0544 [gr-qc]

  67. [69]

    Constraining the Inclinations of Binary Merg- ers from Gravitational-wave Observations,

    Samantha A. Usman, Joseph C. Mills, and Stephen Fairhurst, “Constraining the Inclinations of Binary Merg- ers from Gravitational-wave Observations,” Astrophys. J. 877, 82 (2019), arXiv:1809.10727 [gr-qc]

  68. [70]

    Constraining the parameters of GW150914 and GW170104 with numerical rela- tivity surrogates,

    Prayush Kumar, Jonathan Blackman, Scott E. Field, Mark Scheel, Chad R. Galley, Michael Boyle, Lawrence E. Kidder, Harald P. Pfeiffer, Bela Szilagyi, and Saul A. Teukolsky, “Constraining the parameters of GW150914 and GW170104 with numerical rela- tivity surrogates,” Phys. Rev. D99, 124005 (2019), arXiv:1808.08004 [gr-qc]

  69. [71]

    First higher-multipole model of gravitational waves from spinning and coalescing black-hole binaries,

    Lionel London, Sebastian Khan, Edward Fauchon-Jones, Cecilio Garc ´ ıa, Mark Hannam, Sascha Husa, Xisco Jim´ enez-Forteza, Chinmay Kalaghatgi, Frank Ohme, and Francesco Pannarale, “First higher-multipole model of gravitational waves from spinning and coalescing black-hole binaries,” Phys. Rev. Lett.120, 161102 (2018), arXiv:1708.00404 [gr-qc]

  70. [72]

    Modeling gravitational wave modes from the inspiral of binaries with arbitrary eccentricity,

    Gonzalo Morras, “Modeling gravitational wave modes from the inspiral of binaries with arbitrary eccentricity,” Phys. Rev. D112, 084015 (2025), arXiv:2507.00169 [gr- qc]

  71. [73]

    Gravitational radiation from point masses in a Keplerian orbit,

    P. C. Peters and J. Mathews, “Gravitational radiation from point masses in a Keplerian orbit,” Phys. Rev.131, 435–439 (1963). 15

  72. [74]

    Identifying eccentricity in binary black hole mergers using a harmonic decomposition of the gravi- tational waveform,

    Ben G. Patterson, Sharon Mary Tomson, and Stephen Fairhurst, “Identifying eccentricity in binary black hole mergers using a harmonic decomposition of the gravi- tational waveform,” Phys. Rev. D111, 044073 (2025), arXiv:2411.04187 [gr-qc]

  73. [75]

    General rel- ativistic celestial mechanics of binary systems. i. the post-newtonian motion,

    Thibault Damour and Nathalie Deruelle, “General rel- ativistic celestial mechanics of binary systems. i. the post-newtonian motion,” Annales de l’I.H.P. Physique th´ eorique43, 107–132 (1985)

  74. [76]

    Eccentricity as a Magnifying Glass: Precision Population Inference Enabled by Ec- centric Neutron Star-Black Hole Mergers,

    Alberto Salvarese, Hsin-Yu Chen, Aaron Zimmerman, and Snehal Tibrewal, “Eccentricity as a Magnifying Glass: Precision Population Inference Enabled by Ec- centric Neutron Star-Black Hole Mergers,” (2026), arXiv:2607.16136 [astro-ph.HE]

  75. [77]

    Gravitational-wave astrophysics with effective- spin measurements: asymmetries and selection biases,

    Ken K. Y. Ng, Salvatore Vitale, Aaron Zimmerman, Ka- terina Chatziioannou, Davide Gerosa, and Carl-Johan Haster, “Gravitational-wave astrophysics with effective- spin measurements: asymmetries and selection biases,” Phys. Rev. D98, 083007 (2018), arXiv:1805.03046 [gr- qc]

  76. [78]

    Rapid and accurate parameter inference for coalescing, precessing compact binaries,

    Jacob Lange, Richard O’Shaughnessy, and Mon- ica Rizzo, “Rapid and accurate parameter inference for coalescing, precessing compact binaries,” (2018), arXiv:1805.10457 [gr-qc]. 16 TABLE IV. Standard deviation of posteriors for intrinsic parameters for all injections. ι= 0 e19 MM det q χ 1,z χ2,z χeff e19 0.00 0.702771 0.004438 0.063502 0.134328 0.016034 0....