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arxiv: 2606.31364 · v1 · pith:KFKFP3G4new · submitted 2026-06-30 · 🌀 gr-qc · astro-ph.HE

Establishing Compactness as a Population Observable in Gravitational-Wave Astronomy

Pith reviewed 2026-07-01 04:19 UTC · model grok-4.3

classification 🌀 gr-qc astro-ph.HE
keywords gravitational wavesblack holescompactnesspopulation inferenceGWTC-3exotic compact objectshierarchical analysis
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The pith

Gravitational wave signals from all high-significance events match black hole compactness.

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

This paper measures an effective compactness from gravitational wave data to test the nature of merging objects. It performs a hierarchical population analysis on the GWTC-3 catalog and finds the result consistent with black holes. The analysis also sets a limit on how common less compact exotic objects can be. A reader would care because this turns a theoretical property into a data-driven observable for the population of events. It provides evidence that no exotic alternatives are needed to explain the observed mergers.

Core claim

We introduce an effective compactness parameter C_eff that probes the closest approach in binary systems from their gravitational wave signals. A hierarchical analysis of high-significance signals in GWTC-3 yields C_eff = 0.5^{+0.3}_{-0.1}, consistent with the black hole value, while limiting the rate of low-compactness exotic binaries to less than 0.7 Gpc^{-3} yr^{-1}. This work shows that compactness can be established as a population observable in gravitational wave astronomy.

What carries the argument

The effective compactness parameter C_eff extracted from gravitational wave signals to reflect the binary's closest approach distance.

If this is right

  • All high-significance gravitational wave events in GWTC-3 are consistent with black hole mergers.
  • The merger rate of low-compactness exotic binaries is constrained to less than 0.7 Gpc^{-3} yr^{-1}.
  • Compactness becomes a measurable population property rather than a fixed assumption in gravitational wave studies.
  • Future gravitational wave catalogs can provide tighter constraints on the presence of exotic compact objects.

Where Pith is reading between the lines

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

  • This approach could allow distinguishing black holes from other compact objects in larger datasets without prior assumptions on their nature.
  • Extending the method to lower significance events or future detectors might reveal new populations of objects.
  • The rate limit could inform models of compact object formation if exotic objects are predicted in certain scenarios.

Load-bearing premise

The extracted effective compactness accurately represents the closest approach distance and the population model accounts for all relevant selection effects without bias.

What would settle it

A single high-significance gravitational wave event with an inferred effective compactness clearly inconsistent with 0.5 would challenge the consistency claim.

Figures

Figures reproduced from arXiv: 2606.31364 by Charlie Hoy, Frank Ohme, Mark Hannam, Shrobana Ghosh.

Figure 1
Figure 1. Figure 1: FIG. 1: The first population-level measurement for e [PITH_FULL_IMAGE:figures/full_fig_p002_1.png] view at source ↗
Figure 2
Figure 2. Figure 2: FIG. 2: Noise-weighted matches between BBH signals [PITH_FULL_IMAGE:figures/full_fig_p003_2.png] view at source ↗
Figure 3
Figure 3. Figure 3: FIG. 3: E [PITH_FULL_IMAGE:figures/full_fig_p004_3.png] view at source ↗
read the original abstract

Classically, black holes (BHs) are the most compact objects predicted in nature with C=0.5 in the Schwarzschild limit; C is defined as the mass-to-radius ratio in geometric units. In this work we perform a novel measurement on the nature of putative BH mergers in the gravitational wave (GW) data by directly probing the binary's closest approach through an effective compactness parameter. We confidently show all such high-significance signals in GWTC-3 are consistent with the BH hypothesis for the first time. Our hierarchical analysis yields $C_{\rm eff} = 0.5^{+0.3}_{-0.1}$, and we further limit the merger rate of low-compactness exotic binaries to $< 0.7\,{\rm Gpc}^{-3}\,{\rm yr}^{-1}$. This work establishes compactness as a key observable in GW astronomy.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Referee Report

2 major / 1 minor

Summary. The manuscript introduces an effective compactness parameter C_eff to probe the closest approach distance in binary mergers observed in GWTC-3 gravitational-wave data. A hierarchical population analysis is used to infer C_eff = 0.5^{+0.3}_{-0.1}, which is reported as consistent with the Schwarzschild black-hole value, while placing an upper limit of <0.7 Gpc^{-3} yr^{-1} on the merger rate of low-compactness exotic binaries. The work positions compactness as a new population-level observable in gravitational-wave astronomy.

Significance. If the hierarchical inference and selection-effect modeling are robust and free of bias, the result would provide a direct, data-driven test of the black-hole hypothesis at the population level and a new constraint on exotic compact-object scenarios, extending beyond existing mass and spin population studies.

major comments (2)
  1. [Abstract] Abstract: the central claim that all high-significance GWTC-3 signals are 'consistent with the BH hypothesis for the first time' rests on the posterior for C_eff; however, the quoted uncertainties (+0.3/-0.1) are broad enough that the measurement does not tightly exclude values away from 0.5, and no independent cross-check (e.g., injection recovery or external prior) is described to confirm that the hierarchical model recovers the input C_eff without bias from waveform assumptions or selection effects.
  2. [Abstract] The definition and extraction of C_eff from individual events is not provided; without an explicit mapping from the GW signal (e.g., via a specific equation relating closest approach to the waveform) it is impossible to verify that C_eff accurately reflects the binary's closest approach distance as asserted in the weakest assumption.
minor comments (1)
  1. [Abstract] The abstract states a numerical result and rate limit but supplies no information on the number of events used, the waveform family, the form of the hierarchical likelihood, or how selection effects are incorporated; these details are required for reproducibility.

Simulated Author's Rebuttal

2 responses · 0 unresolved

We thank the referee for their review and comments. We respond point-by-point below, focusing on the major comments.

read point-by-point responses
  1. Referee: [Abstract] Abstract: the central claim that all high-significance GWTC-3 signals are 'consistent with the BH hypothesis for the first time' rests on the posterior for C_eff; however, the quoted uncertainties (+0.3/-0.1) are broad enough that the measurement does not tightly exclude values away from 0.5, and no independent cross-check (e.g., injection recovery or external prior) is described to confirm that the hierarchical model recovers the input C_eff without bias from waveform assumptions or selection effects.

    Authors: The quoted uncertainties are indeed broad, as expected for this new population observable with the current catalog size; the posterior mode at 0.5 supports consistency with the black-hole value rather than a tight exclusion of other values. The phrase 'for the first time' refers to the first direct population-level compactness measurement. The manuscript contains basic consistency checks on the hierarchical model, but we acknowledge the value of explicit validation and will add a dedicated subsection on injection-recovery tests to confirm unbiased recovery of C_eff under waveform and selection effects. revision: partial

  2. Referee: [Abstract] The definition and extraction of C_eff from individual events is not provided; without an explicit mapping from the GW signal (e.g., via a specific equation relating closest approach to the waveform) it is impossible to verify that C_eff accurately reflects the binary's closest approach distance as asserted in the weakest assumption.

    Authors: The definition of C_eff and its extraction from individual-event posteriors (via reweighting to the closest-approach parameter) are provided in Section II of the full manuscript, including the explicit relation to the waveform. The abstract serves as a summary and does not repeat these details. We will revise the abstract to include a one-sentence definition and reference to the relevant section for improved clarity. revision: yes

Circularity Check

0 steps flagged

No significant circularity identified

full rationale

The paper reports a hierarchical Bayesian analysis applied to GWTC-3 events that extracts a posterior on the effective compactness parameter C_eff directly from the gravitational-wave data. The central result is therefore a data-driven measurement whose numerical value is not forced by any self-referential definition, prior self-citation, or renaming of an input quantity. No equations or steps are exhibited in the provided text that reduce the reported C_eff posterior or rate limit to the analysis inputs by algebraic construction. The derivation chain remains self-contained against external benchmarks.

Axiom & Free-Parameter Ledger

1 free parameters · 1 axioms · 0 invented entities

The result rests on the definition of effective compactness and the validity of the hierarchical Bayesian framework applied to GWTC-3; these are not independently validated in the provided abstract.

free parameters (1)
  • C_eff = 0.5^{+0.3}_{-0.1}
    Fitted parameter from hierarchical analysis of GW events
axioms (1)
  • domain assumption GWTC-3 events are produced by binary compact-object mergers whose waveforms allow extraction of closest-approach information
    Central to defining and measuring effective compactness

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discussion (0)

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Reference graph

Works this paper leans on

88 extracted references · 68 canonical work pages · 39 internal anchors

  1. [1]

    J. R. Oppenheimer and H. Snyder, On continued gravitational contraction, Phys. Rev.56, 455 (1939)

  2. [2]

    D. J. Kaup, Klein-gordon geon, Phys. Rev.172, 1331 (1968). 7

  3. [3]

    Ruffini and S

    R. Ruffini and S. Bonazzola, Systems of self-gravitating par- ticles in general relativity and the concept of an equation of state, Phys. Rev.187, 1767 (1969)

  4. [4]

    M. S. Morris and K. S. Thorne, Wormholes in spacetime and their use for interstellar travel: A tool for teaching general relativity, Am. J. Phys.56, 395 (1988)

  5. [5]

    S. D. Mathur, The fuzzball proposal for black holes: An ele- mentary review, Fortschr. Phys.53, 793 (2005)

  6. [6]

    P. O. Mazur and E. Mottola, Gravitational vacuum condensate stars, Proc. Natl. Acad. Sci. U.S.A.101, 9545 (2004)

  7. [7]

    Black Holes in Astrophysics

    R. Narayan, Black holes in astrophysics, New J. Phys.7, 199 (2005), arXiv:gr-qc/0506078

  8. [8]

    Monitoring stellar orbits around the Massive Black Hole in the Galactic Center

    S. Gillessen, F. Eisenhauer, S. Trippe, T. Alexander, R. Genzel, F. Martins, and T. Ott, Monitoring stellar orbits around the Massive Black Hole in the Galactic Center, Astrophys. J.692, 1075 (2009), arXiv:0810.4674 [astro-ph]

  9. [9]

    Abuteret al.(GRA VITY), Detection of the Schwarzschild precession in the orbit of the star S2 near the Galactic cen- tre massive black hole, Astron

    R. Abuteret al.(GRA VITY), Detection of the Schwarzschild precession in the orbit of the star S2 near the Galactic cen- tre massive black hole, Astron. Astrophys.636, L5 (2020), arXiv:2004.07187 [astro-ph.GA]

  10. [10]

    First M87 Event Horizon Telescope Results. VI. The Shadow and Mass of the Central Black Hole

    K. Akiyamaet al.(Event Horizon Telescope), First M87 Event Horizon Telescope Results. VI. The Shadow and Mass of the Central Black Hole, Astrophys. J. Lett.875, L6 (2019), arXiv:1906.11243 [astro-ph.GA]

  11. [11]

    First Sagittarius A* Event Horizon Telescope Results. I. The Shadow of the Supermassive Black Hole in the Center of the Milky Way

    K. Akiyamaet al.(Event Horizon Telescope), First Sagittarius A* Event Horizon Telescope Results. I. The Shadow of the Supermassive Black Hole in the Center of the Milky Way, Astrophys. J. Lett.930, L12 (2022), arXiv:2311.08680 [astro- ph.HE]

  12. [12]

    J. E. McClintock and R. A. Remillard, Black hole binaries, (2003), arXiv:astro-ph/0306213

  13. [13]

    J. E. McClintock, R. Narayan, and G. B. Rybicki, On the lack of thermal emission from the quiescent black hole XTE J1118+480: Evidence for the event horizon, Astrophys. J.615, 402 (2004), arXiv:astro-ph/0403251

  14. [14]

    GWTC-5.0: An Introduction to Version 5.0 of the Gravitational-Wave Transient Catalog

    N. Abacet al.(LIGO Scientific, VIRGO, KAGRA), GWTC- 5.0: An Introduction to Version 5.0 of the Gravitational-Wave Transient Catalog, (2026), arXiv:2605.27223 [gr-qc]

  15. [15]

    Abbottet al.(LIGO Scientific, Virgo), GW190412: Obser- vation of a Binary-Black-Hole Coalescence with Asymmetric Masses, Phys

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

  16. [16]

    Abbottet al.(LIGO Scientific, Virgo), GW190521: A Binary Black Hole Merger with a Total Mass of 150M⊙, Phys

    R. Abbottet al.(LIGO Scientific, Virgo), GW190521: A Binary Black Hole Merger with a Total Mass of 150M⊙, Phys. Rev. Lett.125, 101102 (2020), arXiv:2009.01075 [gr-qc]

  17. [17]

    Abbottet al.(LIGO Scientific, Virgo), Properties and As- trophysical Implications of the 150 M ⊙ Binary Black Hole Merger GW190521, Astrophys

    R. Abbottet al.(LIGO Scientific, Virgo), Properties and As- trophysical Implications of the 150 M ⊙ Binary Black Hole Merger GW190521, Astrophys. J. Lett.900, L13 (2020), arXiv:2009.01190 [astro-ph.HE]

  18. [18]

    B. P. Abbottet al.(LIGO Scientific Collaboration, Virgo Col- laboration, and KAGRA Collaboration), Gwtc-3: Compact binary coalescences observed by ligo and virgo during the sec- ond part of the third observing run, Phys. Rev. X13, 041039 (2023)

  19. [19]

    Ghosh and M

    S. Ghosh and M. Hannam, Identification of exotic compact binaries with gravitational waves: A phenomenological ap- proach, Phys. Rev. D112, 104017 (2025), arXiv:2505.16380 [gr-qc]

  20. [20]

    Ghosh, C

    S. Ghosh, C. Hoy, M. Hannam, and F. Ohme, Companion paper (2026), in preparation

  21. [21]

    Tests of General Relativity with Binary Black Holes from the second LIGO-Virgo Gravitational-Wave Transient Catalog

    R. Abbottet al.(LIGO Scientific, Virgo), Tests of general relativity with binary black holes from the second LIGO-Virgo gravitational-wave transient catalog, Phys. Rev. D103, 122002 (2021), arXiv:2010.14529 [gr-qc]

  22. [22]

    Tests of General Relativity with GWTC-3

    R. Abbottet al.(LIGO Scientific, VIRGO, KAGRA), Tests of General Relativity with GWTC-3, Phys. Rev. D112, 084080 (2025), arXiv:2112.06861 [gr-qc]

  23. [23]

    H. S. Chia, T. D. P. Edwards, R. N. George, A. Zimmerman, A. Coogan, K. Freese, C. Messick, and C. N. Setzer, Dimen- sionally Reduced Waveforms for Spin-Induced Quadrupole Searches, (2022), arXiv:2211.00039 [gr-qc]

  24. [24]

    Distinguishing Boson Stars from Black Holes and Neutron Stars from Tidal Interactions in Inspiraling Binary Systems

    N. Sennett, T. Hinderer, J. Steinhoff, A. Buonanno, and S. Os- sokine, Distinguishing Boson Stars from Black Holes and Neutron Stars from Tidal Interactions in Inspiraling Binary Systems, Phys. Rev. D96, 024002 (2017), arXiv:1704.08651 [gr-qc]

  25. [25]

    N. V . Krishnendu, K. G. Arun, and C. K. Mishra, Testing the binary black hole nature of a compact binary coalescence, Phys. Rev. Lett.119, 091101 (2017), arXiv:1701.06318 [gr-qc]

  26. [26]

    N. K. Johnson-McDaniel, A. Mukherjee, R. Kashyap, P. Ajith, W. Del Pozzo, and S. Vitale, Constraining black hole mimick- ers with gravitational wave observations, Phys. Rev. D102, 123010 (2020)

  27. [27]

    Datta, R

    S. Datta, R. Brito, S. Bose, P. Pani, and S. A. Hughes, Tidal heating as a discriminator for horizons in extreme mass ratio inspirals, Phys. Rev. D101, 044004 (2020), arXiv:1910.07841 [gr-qc]

  28. [28]

    Head-on collisions of boson stars

    C. Palenzuela, I. Olabarrieta, L. Lehner, and S. L. Liebling, Head-on collisions of boson stars, Phys. Rev. D75, 064005 (2007), arXiv:gr-qc/0612067

  29. [29]

    Orbital Dynamics of Binary Boson Star Systems

    C. Palenzuela, L. Lehner, and S. L. Liebling, Orbital Dynam- ics of Binary Boson Star Systems, Phys. Rev. D77, 044036 (2008), arXiv:0706.2435 [gr-qc]

  30. [30]

    Full 3D Numerical Relativity Simulations of Neutron Star -- Boson Star Collisions with BAM

    T. Dietrich, S. Ossokine, and K. Clough, Full 3D numer- ical relativity simulations of neutron star–boson star colli- sions with BAM, Class. Quant. Grav.36, 025002 (2019), arXiv:1807.06959 [gr-qc]

  31. [31]

    Axion star collisions with black holes and neutron stars in full 3D numerical relativity

    K. Clough, T. Dietrich, and J. C. Niemeyer, Axion star colli- sions with black holes and neutron stars in full 3D numerical relativity, Phys. Rev. D98, 083020 (2018), arXiv:1808.04668 [gr-qc]

  32. [32]

    Evstafyeva, U

    T. Evstafyeva, U. Sperhake, I. Romero-Shaw, and M. Agathos, Gravitational-wave data analysis with high-precision numer- ical relativity simulations of boson star mergers, (2024), arXiv:2406.02715 [gr-qc]

  33. [33]

    Advanced LIGO

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

  34. [34]

    Buikemaet al.(aLIGO), Sensitivity and performance of the Advanced LIGO detectors in the third observing run, Phys

    A. Buikemaet al.(aLIGO), Sensitivity and performance of the Advanced LIGO detectors in the third observing run, Phys. Rev. D102, 062003 (2020), arXiv:2008.01301 [astro-ph.IM]

  35. [35]

    Tseet al., Quantum-Enhanced Advanced LIGO Detectors in the Era of Gravitational-Wave Astronomy, Phys

    M. Tseet al., Quantum-Enhanced Advanced LIGO Detectors in the Era of Gravitational-Wave Astronomy, Phys. Rev. Lett. 123, 231107 (2019)

  36. [36]

    Advanced Virgo: a 2nd 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]

  37. [37]

    Acerneseet al.(Virgo), Increasing the Astrophysical Reach of the Advanced Virgo Detector via the Application of Squeezed Vacuum States of Light, Phys

    F. Acerneseet al.(Virgo), Increasing the Astrophysical Reach of the Advanced Virgo Detector via the Application of Squeezed Vacuum States of Light, Phys. Rev. Lett.123, 231108 (2019)

  38. [38]

    Acerneseet al.(Virgo), Virgo detector characterization and data quality: results from the O3 run, Class

    F. Acerneseet al.(Virgo), Virgo detector characterization and data quality: results from the O3 run, Class. Quant. Grav.40, 185006 (2023), arXiv:2210.15633 [gr-qc]

  39. [39]

    Somiya (KAGRA), Detector configuration of KAGRA: The Japanese cryogenic gravitational-wave detector, Class

    K. Somiya (KAGRA), Detector configuration of KAGRA: The Japanese cryogenic gravitational-wave detector, Class. Quant. Grav.29, 124007 (2012), arXiv:1111.7185 [gr-qc]

  40. [40]

    Y . Aso, Y . Michimura, K. Somiya, M. Ando, O. Miyakawa, T. Sekiguchi, D. Tatsumi, and H. Yamamoto (The KAGRA Collaboration), Interferometer design of the kagra gravitational wave detector, Phys. Rev. D88, 043007 (2013)

  41. [41]

    Akutsu et al.,Overview of KAGRA: Detector design and construction history,PTEP2021(2021) 05A101 [2005.05574]

    T. Akutsuet al.(KAGRA), Overview of KAGRA: Detector design and construction history, PTEP2021, 05A101 (2021), arXiv:2005.05574 [physics.ins-det]

  42. [42]

    N. V . Krishnendu, M. Saleem, A. Samajdar, K. G. Arun, W. Del Pozzo, and C. K. Mishra, Constraints on the binary black hole nature of GW151226 and GW170608 from the 8 measurement of spin-induced quadrupole moments, Phys. Rev. D100, 104019 (2019), arXiv:1908.02247 [gr-qc]

  43. [43]

    J. C. Bustillo, N. Sanchis-Gual, A. Torres-Forné, J. A. Font, A. Vajpeyi, R. Smith, C. Herdeiro, E. Radu, and S. H. W. Leong, Gw190521 as a merger of proca stars: A potential new vector boson of 8.7 ×10 −13 eV, Phys. Rev. Lett.126, 081101 (2021)

  44. [44]

    Sakstein, D

    J. Sakstein, D. Croon, S. D. McDermott, M. C. Straight, and E. J. Baxter, Beyond the standard model explanations of gw190521, Phys. Rev. Lett.125, 261105 (2020)

  45. [45]

    Narikawa, N

    T. Narikawa, N. Uchikata, and T. Tanaka, Gravitational-wave constraints on the GWTC-2 events by measuring the tidal de- formability and the spin-induced quadrupole moment, Phys. Rev. D104, 084056 (2021), [Erratum: Phys.Rev.D 111, 089903 (2025)], arXiv:2106.09193 [gr-qc]

  46. [46]

    H. S. Chia, T. D. P. Edwards, D. Wadekar, A. Zimmerman, S. Olsen, J. Roulet, T. Venumadhav, B. Zackay, and M. Zaldar- riaga, In Pursuit of Love: First Templated Search for Compact Objects with Large Tidal Deformabilities in the LIGO-Virgo Data, (2023), arXiv:2306.00050 [gr-qc]

  47. [47]

    N. V . Krishnendu, F. Ohme, and K. G. Arun, Testing the nature of compact objects in the lower mass gap using gravitational wave observations (2025), arXiv:2509.10420 [astro-ph.HE]

  48. [48]

    Datta, K

    S. Datta, K. S. Phukon, and S. Bose, Recognizing black holes in gravitational-wave observations: Challenges in telling apart impostors in mass-gap binaries, Phys. Rev. D104, 084006 (2021), arXiv:2004.05974 [gr-qc]

  49. [49]

    N. V . Krishnenduet al., Implications of GW241011 for rotat- ing exotic compact objects, (2025), arXiv:2511.17341 [gr-qc]

  50. [50]

    S. Khan, S. Husa, M. Hannam, F. Ohme, M. Pürrer, X. Jiménez Forteza, and A. Bohé, Frequency-domain grav- itational waves from nonprecessing black-hole binaries. II. A phenomenological model for the advanced detector era, Phys. Rev. D93, 044007 (2016), arXiv:1508.07253 [gr-qc]

  51. [51]

    Gravitational Wave Open Science Center, Gravitational- wave Transient Catalog (GWTC), https://gwosc.org/ eventapi/html/GWTC/

  52. [52]

    A. G. Abacet al.(LIGO Scientific, VIRGO, KAGRA), GWTC- 4.0: Population Properties of Merging Compact Binaries, (2025), arXiv:2508.18083 [astro-ph.HE]

  53. [53]

    J. S. Speagle, dynesty: a dynamic nested sampling package for estimating Bayesian posteriors and evidences, Mon. Not. Roy. Astron. Soc.493, 3132 (2020), arXiv:1904.02180 [astro- ph.IM]

  54. [54]

    Bilby: A user-friendly Bayesian inference library for gravitational-wave astronomy

    G. Ashtonet al., BILBY: A user-friendly Bayesian inference library for gravitational-wave astronomy, Astrophys. J. Suppl. 241, 27 (2019), arXiv:1811.02042 [astro-ph.IM]

  55. [55]

    I. M. Romero-Shawet al., Bayesian inference for compact bi- nary coalescences with bilby: validation and application to the first LIGO–Virgo gravitational-wave transient catalogue, Mon. Not. Roy. Astron. Soc.499, 3295 (2020), arXiv:2006.00714 [astro-ph.IM]

  56. [56]

    Talbot, R

    C. Talbot, R. Smith, E. Thrane, and G. B. Poole, Parallelized inference for gravitational-wave astronomy, Phys. Rev. D100, 043030 (2019), arXiv:1904.02863 [astro-ph.IM]

  57. [57]

    Talbot, A

    C. Talbot, A. Farah, S. Galaudage, J. Golomb, and H. Tong, Gwpopulation: Hardware agnostic population inference for compact binaries and beyond, Journal of Open Source Soft- ware10, 7753 (2025), arXiv:2409.14143 [astro-ph.IM]

  58. [58]

    Golomb and C

    J. Golomb and C. Talbot, Searching for structure in the binary black hole spin distribution, Phys. Rev. D108, 103009 (2023), arXiv:2210.12287 [astro-ph.HE]

  59. [59]

    B. J. Owen, Search templates for gravitational waves from inspiraling binaries: Choice of template spacing, Phys. Rev. D 53, 6749 (1996), arXiv:gr-qc/9511032

  60. [60]

    LSC, LIGO Document T1800044-v5

  61. [61]

    Hannamet al., General-relativistic precession in a black- hole binary, Nature610, 652 (2022), arXiv:2112.11300 [gr- qc]

    M. Hannamet al., General-relativistic precession in a black- hole binary, Nature610, 652 (2022), arXiv:2112.11300 [gr- qc]

  62. [62]

    C. Hoy, S. Fairhurst, and I. Mandel, Rarity of precession and higher-order multipoles in gravitational waves from merg- ing binary black holes, Phys. Rev. D111, 023037 (2025), arXiv:2408.03410 [gr-qc]

  63. [63]

    Gravitational-wave astronomy requires population-informed parameter estimation

    M. Mould, R. Tenorio, and D. Gerosa, Gravitational-wave astronomy requires population-informed parameter estimation, (2026), arXiv:2604.15885 [gr-qc]

  64. [64]

    J. C. Aurrekoetxea, C. Hoy, and M. Hannam, Revisiting the Cosmic String Origin of GW190521, Phys. Rev. Lett.132, 181401 (2024), arXiv:2312.03860 [gr-qc]

  65. [65]

    Kerr black holes with Proca hair

    C. Herdeiro, E. Radu, and H. Rúnarsson, Kerr black holes with Proca hair, Class. Quant. Grav.33, 154001 (2016), arXiv:1603.02687 [gr-qc]

  66. [66]

    CoRe database of binary neutron star merger waveforms and its application in waveform development

    T. Dietrich, D. Radice, S. Bernuzzi, F. Zappa, A. Perego, B. Brügmann, S. V . Chaurasia, R. Dudi, W. Tichy, and M. Uje- vic, CoRe database of binary neutron star merger waveforms, Class. Quant. Grav.35, 24LT01 (2018), arXiv:1806.01625 [gr-qc]

  67. [67]

    Ackleyet al., Neutron Star Extreme Matter Observa- tory: A kilohertz-band gravitational-wave detector in the global network, Publ

    K. Ackleyet al., Neutron Star Extreme Matter Observa- tory: A kilohertz-band gravitational-wave detector in the global network, Publ. Astron. Soc. Austral.37, e047 (2020), arXiv:2007.03128 [astro-ph.HE]

  68. [68]

    Relativistic Mean-Field Theory and the High-Density Nuclear Equation of State

    H. Mueller and B. D. Serot, Relativistic mean field theory and the high density nuclear equation of state, Nucl. Phys. A606, 508 (1996), arXiv:nucl-th/9603037

  69. [69]

    J. S. Read, B. D. Lackey, B. J. Owen, and J. L. Fried- man, Constraints on a phenomenologically parameterized neutron-star equation of state, Phys. Rev. D79, 124032 (2009), arXiv:0812.2163 [astro-ph]

  70. [70]

    R. Dudi, F. Pannarale, T. Dietrich, M. Hannam, S. Bernuzzi, F. Ohme, and B. Brügmann, Relevance of tidal effects and post- merger dynamics for binary neutron star parameter estimation, Phys. Rev. D98, 084061 (2018), arXiv:1808.09749 [gr-qc]

  71. [71]

    Extracting distribution parameters from multiple uncertain observations with selection biases

    I. Mandel, W. M. Farr, and J. R. Gair, Extracting distribution parameters from multiple uncertain observations with selec- tion biases, Mon. Not. Roy. Astron. Soc.486, 1086 (2019), arXiv:1809.02063 [physics.data-an]

  72. [72]

    B. P. Abbottet al.(LIGO Scientific, Virgo), The Rate of Binary Black Hole Mergers Inferred from Advanced LIGO Observa- tions Surrounding GW150914, Astrophys. J. Lett.833, L1 (2016), arXiv:1602.03842 [astro-ph.HE]

  73. [73]

    Robust parameter estimation for compact binaries with ground-based gravitational-wave observations using the LALInference software library

    J. Veitchet al., Parameter estimation for compact binaries with ground-based gravitational-wave observations using the LAL- Inference software library, Phys. Rev. D91, 042003 (2015), arXiv:1409.7215 [gr-qc]

  74. [74]

    Metropolis and S

    N. Metropolis and S. Ulam, The monte carlo method, Journal of the American statistical association44, 335 (1949)

  75. [75]

    Skilling, Nested sampling, inAIP Conference Proceedings (AIP, 2004)

    J. Skilling, Nested sampling, inAIP Conference Proceedings (AIP, 2004)

  76. [76]

    Skilling, Nested sampling for general Bayesian computation, Bayesian Analysis1, 833 (2006)

    J. Skilling, Nested sampling for general Bayesian computation, Bayesian Analysis1, 833 (2006)

  77. [77]

    C. M. Biwer, C. D. Capano, S. De, M. Cabero, D. A. Brown, A. H. Nitz, and V . Raymond, PyCBC Inference: A Python- based parameter estimation toolkit for compact binary coa- lescence signals, Publ. Astron. Soc. Pac.131, 024503 (2019), arXiv:1807.10312 [astro-ph.IM]

  78. [78]

    Rapid and accurate parameter inference for coalescing, precessing compact binaries

    J. Lange, R. O’Shaughnessy, and M. Rizzo, Rapid and accu- rate parameter inference for coalescing, precessing compact binaries, (2018), arXiv:1805.10457 [gr-qc]

  79. [79]

    Roulet, S

    J. Roulet, S. Olsen, J. Mushkin, T. Islam, T. Venumadhav, B. Zackay, and M. Zaldarriaga, Removing degeneracy and multimodality in gravitational wave source parameters, Phys. Rev. D106, 123015 (2022), arXiv:2207.03508 [gr-qc]

  80. [80]

    Tiwari, C

    V . Tiwari, C. Hoy, S. Fairhurst, and D. MacLeod, Fast non- Markovian sampler for estimating gravitational-wave poste- riors, Phys. Rev. D108, 023001 (2023), arXiv:2303.01463 [astro-ph.HE]. 9

Showing first 80 references.