REVIEW 3 major objections 5 minor 1 cited by
Gravitational Waves from the Inspiral of Supermassive Black Holes in Galactic-scale Simulations
T0 review · 3 major / 5 minor · reviewed 2026-08-14 · deepseek-v4-flash
Pith's one-line read Resolved galaxy mergers show that simplified models predict the pulsar-timing gravitational-wave spectrum of supermassive black hole binaries to within about 10 percent.
desk verdict A careful KETJU study showing semi-analytic models are good to ~10% in the PTA band, but the missing resolution test means I would treat that number as provisional. read the letter →
The pith
A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.
The reading
What carries the argument
The central object is the gravitational-wave spectral energy density $dE_{\mathrm{GW}}/df$, computed two ways: analytically from Peters–Mathews harmonics using post-Newtonian quasi-Keplerian orbital elements, and directly by Fourier-transforming the waveform from the final inspiral. The comparison is organized around the Peters isolated-binary model and the Peters–Quinlan hardening model, whose parameters $H$ and $K$ are the semi-analytic dials controlling how fast the stellar environment shrinks and circularizes the binary. The resolved reference comes from the hybrid N-body code with algorithmic chain regularization and post-Newtonian equations of motion, which lets the stellar background respond self-consistently from the galaxy-merger scale down to the final orbit. The mechanism that produces the main result is the cancellation, in the spectral energy density formula, between the instantaneous gravitational-wave flux and the gravitational-wave timescale $\tau_{\mathrm{GW}}$, which makes the lifetime-integrated spectrum far more stable than the individual orbital trajectories from which it is built.
What would settle it
Re-run one of the mergers, for example run A, with stellar particle masses reduced by a factor of 10 or 100 inside the 10 pc regularized region while keeping the same initial orbit, and compare the binary hardening rate and the gravitational-wave spectral energy density in the pulsar-timing band; if the hardening rate or the 10 percent agreement with the Peters–Quinlan model shifts systematically with resolution, the central claim fails.
Extended reading notes
Core claim
The central discovery is a robustness result: in these simulations, the gravitational-wave spectral energy density $dE_{\mathrm{GW}}/df$ emitted by a single supermassive black hole binary is largely insensitive to the details of the orbital evolution. The binaries enter the gravitational-wave-dominated phase on highly eccentric orbits ($e > 0.9$), which makes merger timescales very sensitive to small parameter changes, but when the spectrum is accumulated over the binary's lifetime, differences between the fully resolved KETJU evolution and the Peters and Peters–Quinlan semi-analytic models shrink to roughly 10 percent at frequencies $f \gtrsim 0.1\, \mathrm{yr}^{-1}$. The agreement improves to a few percent when the hardening parameters $H$ and $K$ are fitted from the simulation rather than taken from the literature. The paper argues this happens because the semi-analytic scattering model captures the relevant dynamics and because the high-frequency spectrum is effectively governed by energy conservation: the slightly different instantaneous fluxes and gravitational-wave timescales cancel in the spectral energy density.
Load-bearing premise
The stellar environment is represented by particles of $10^5$ solar masses each, and at the moment of merger only a few such particles remain within 10 pc of the binary; the paper assumes that the resulting rare, overly strong scattering events do not bias the hardening because most environmental influence comes from weak long-range interactions.
Editorial extensions
If this is right
- Current pulsar-timing-array predictions of the stochastic background from supermassive black hole binaries can be trusted to roughly 10 percent in the band $f \gtrsim 0.1\, \mathrm{yr}^{-1}$, as long as the semi-analytic models use stellar densities and velocity dispersions that reflect the post-merger stellar population.
- For very massive, core-scoured early-type galaxies, literature values of the hardening parameter $H$ overestimate stellar scattering by up to a factor of 8, so semi-analytic predictions for the most massive binaries should use lower effective hardening or they will systematically misplace the merger time and low-frequency spectrum.
- The persistently high eccentricities ($e > 0.9$) at the onset of the gravitational-wave-driven inspiral imply that circular-orbit assumptions in background calculations introduce a bias; the simulated binaries do not reach $e \approx 0.99$, so the strong suppression of the background considered in earlier work does not occur in these runs.
- At the highest pulsar-timing frequencies, missing post-Newtonian terms can shift the instantaneous gravitational-wave flux by tens of percent, but the lifetime-integrated spectrum is less affected because of approximate energy conservation, so a detection of a rare individual massive binary would be more sensitive to these higher-order effects than the background itself.
Reading between the lines
- The paper's conclusion is stated per binary; the population-level background could still change if the real eccentricity or environment distribution differs from these galaxy models. A natural test is to apply the same analysis to a cosmological sample of merger snapshots and compare the resulting $h_c(f)$ with semi-analytic population predictions.
- Because the disagreement concentrates in depleted-core massive galaxies, a practical extension is to map $H$ and $K$ as functions of core properties such as central stellar density slope and binary mass ratio, converting the factor-of-8 discrepancy into a calibrated correction term for semi-analytic models.
- The 10 percent result is derived for gas-free mergers with non-spinning black holes; adding circumbinary gas or black-hole spin could alter both eccentricity evolution and the high-frequency spectrum, so the comparison should be repeated for gas-rich mergers before generalizing the conclusion.
- The resolution caveat cuts both ways: if strong scattering events are under-resolved, the simulated hardening could be systematically low. Comparing runs with different stellar particle masses (for example $10^5$ versus $10^4$ solar masses) within the inner 10 pc would show whether the 10 percent agreement is itself resolution-dependent.
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. The paper uses the hybrid tree-regularized N-body code KETJU to follow supermassive black hole (SMBH) binaries formed in gas-free mergers of massive early-type galaxies, with post-Newtonian corrections up to PN3.5 in the equations of motion and PN1 waveform corrections. Five merger runs are analyzed (runs A–D forming a series of minor mergers and run X an equal-mass lower-mass merger), and the simulated orbital evolution and emitted gravitational-wave spectral energy density (SED) are compared with two semi-analytic models: the isolated Peters model and the Peters–Quinlan model that adds stellar scattering with literature hardening parameters. The central claim is that, although the semi-analytic models give large differences in merger timescales and eccentricity evolution, the resulting GW spectra differ by only ~10% at PTA-relevant frequencies f ≳ 0.1 yr^-1, provided the stellar density and velocity dispersion are taken from the simulations. The paper also fits effective hardening parameters H and K for the scattering model and finds values that differ from Sesana et al. (2006) by up to a factor of eight for the cored massive runs, while run X agrees much better.
Significance. If the central claim holds, the paper provides an important validation that semi-analytic prescriptions are adequate for PTA background predictions at the ~10% level, despite large differences in the detailed orbital evolution of individual binaries. This is directly relevant for ongoing pulsar timing array searches and for cosmological simulations that cannot resolve SMBH binaries. The numerical work is ambitious and careful: it combines state-of-the-art PN3.5 dynamics with quasi-Keplerian orbital elements, cross-validates two independent GW computation methods to a few percent at the switchover, and checks energy conservation to under 5% until roughly 10 Schwarzschild radii. The manuscript is also transparent about its caveats, including the limited number of runs and the approximate treatment of unresolved stellar scattering. However, the small sample size and the absence of a resolution study mean that the headline ~10% accuracy estimate is not yet demonstrated with full rigor.
major comments (3)
- [§6.3 and Fig. 7] The central claim of ~10% SED accuracy in the PTA band rests on simulations in which each stellar particle represents ~10^5 real stars and only a few such particles remain within 10 pc of the binary at merger, as stated in Section 6.3. No convergence test at higher stellar resolution is presented. The paper asserts that weak long-range interactions dominate and that unresolved strong scattering does not seriously bias the long-term evolution, but this assertion is not quantified. Because the SED at f>0.1 yr^-1 is sensitive to the eccentricity and hardening history entering the GW-dominated phase, and because Figure 7 already shows an almost 20% deviation of the Peters model from run X at f=0.2 yr^-1, a resolution-induced bias in eccentricity or in the fitted H and K parameters could shift the comparison by more than the claimed 10%. A resolution study (for example varying the stellar particle mass by factors of several in one or two runs) or an explicit error budget is needed to support the 10% claim.
- [§6.3 and Fig. 10] The paper itself notes in Section 6.3 that the neglected non-linear tail terms at PN4 order cause the number of orbits in the last decade of orbital frequency to change by almost 10% (citing Blanchet et al. 1995), and Figure 10 shows that energy conservation degrades rapidly below about 10 Schwarzschild radii. Since the PTA band at f≳0.1 yr^-1 is exactly the regime where these final relativistic orbits contribute, the missing higher-order PN terms may introduce a systematic uncertainty comparable to the stated ~10% difference between KETJU and the semi-analytic models. The manuscript should either quantify the impact of these missing terms on the integrated SED, or soften the claim to a larger uncertainty (e.g., tens of percent) for frequencies near the upper end of the PTA band.
- [§5.3 and Table 2] The high-frequency agreement is presented as a validation of the Peters–Quinlan model, but the Peters–Quinlan comparison uses literature values H_S and K_S from Sesana et al. (2006) that were calibrated for circular binaries, while the simulated binaries have eccentricities e > 0.9 at the start of the GW-dominated phase. The paper notes in Section 3.4 that H should increase with eccentricity, but does not test how much this would change the comparison. Since the fitted H_Ketju values in Table 2 differ from H_S by factors up to 8, the apparent agreement at high frequencies may be partly coincidental, especially if the true eccentricity-dependent hardening parameters are different from the circular-orbit values. A sensitivity test using eccentricity-dependent H and K, or a direct comparison against the fitted parameters for each run, would strengthen the conclusion that the semi-analytic model itself captures the relevant dynamics.
minor comments (5)
- [§5.4 and Fig. 10] The paper states that the simulation is stopped at R = 6 R_s, but also says the results are reliable only down to about 10 R_s. The spectra in Figures 7 and 8 are still shown down to 6 R_s, where energy conservation has already degraded. Please clarify whether the unreliable tail below about 10 R_s is excluded from the quantitative conclusions, or explain how the reported agreement at the highest frequencies is affected by this region.
- [§2.4] The text refers to the code sometimes as KETJU and sometimes as Ketju; please use a consistent spelling throughout. This is purely a presentation issue.
- [§6.2] The claim that 'the differences are brought down to under 5%' with a correct choice of parameters would be easier to verify if the paper explicitly showed the comparison models run with the fitted H_Ketju and K_Ketju values, rather than only stating that they agree at the few-percent level. A small figure or table with these results would be useful.
- [Fig. 7] The zoom-in labels in the ratio panels are somewhat difficult to read, particularly the '0.8 1.0 1.0 1.1' axis labeling in the Peters–Quinlan ratio panel. Please check that all axis labels and zoom-in annotations are legible in the final version.
- [§4.4] The sentence 'The error of the semi-analytic method compared to the full PN waveform is about 5% at the point where all the major harmonics are visible in the spectrum, but somewhat lower when compared to the PN0 waveform' is ambiguous because 'PN0 waveform' and 'full PN waveform' are not clearly distinguished in the legend of Figure 3. Please make the figure legend and the corresponding text consistent.
Circularity Check
No significant circularity: the headline comparison uses externally parameterized semi-analytic models, and the KETJU-derived H/K fits are not used to produce the ~10% spectrum result.
full rationale
The derivation chain is self-contained. The headline comparison takes the externally defined Peters (1964) and Peters–Quinlan scattering models with literature H,K values from Sesana et al. (2006), starts them from the same a0,e0 as the KETJU runs (a controlled initial-condition choice, not an equivalence), and compares the resulting GW spectral energy densities to the KETJU SEDs, with the high-frequency PTA portion computed from direct waveform integration rather than from the semi-analytic spectrum formula. The H,K values fitted from KETJU in Table 2 are used only in a post-hoc consistency check (Section 5.2), not in the headline ~10% statement; the headline result is obtained with the literature parameters. The only self-citations are to the KETJU code papers and to prior initial-condition setups; these are instrumental rather than arguments that force the result, and the code is exercised in new merger runs rather than imported as a conclusion. The acknowledged resolution and PN-order caveats in Section 6.3 are validity risks, not circular reductions.
Assumptions & free parameters
free parameters (4)
- H_S (Sesana et al. 2006) =
14.4 to 16.6 x 10^-11 pc^-1 yr^-1 (range across runs)
- K_S (Sesana et al. 2006) =
0.054 to 0.068 (range across runs)
- H_Ketju =
2.18, 4.38, 5.98, 8.44, 11.5 x 10^-11 pc^-1 yr^-1 for runs A, B, C, D, X
- K_Ketju =
0.032, 0.049, 0.052, 0.027, 0.098 for runs A, B, C, D, X
assumptions (5)
- domain assumption Post-Newtonian equations of motion through PN3.5 in the modified harmonic gauge are sufficient to describe the binary dynamics in the simulated regime.
- domain assumption The stellar environment can be represented by particles of mass m_star = 10^5 solar masses with gravitational softening; the rarity and over-strength of individual scattering events does not bias the binary hardening.
- domain assumption Beyond ~100Rs, the binary can be evolved as isolated without stellar particles without significantly changing the inspiral.
- domain assumption Gas and black hole spin effects are negligible for these gas-free galaxy mergers.
- domain assumption The Peters (1964) and Peters-Quinlan (Quinlan 1996) semi-analytic models are valid reference models for the comparison.
Cite this review
Pith. "Pith review of Gravitational Waves from the Inspiral of Supermassive Black Holes in Galactic-scale Simulations." pith.science (2026). https://pith.science/paper/HGN4OK6L
@misc{pith2026190901373,
author = {Pith},
title = {Pith review of: Gravitational Waves from the Inspiral of Supermassive Black Holes in Galactic-scale Simulations},
year = {2026},
howpublished = {\url{https://pith.science/paper/HGN4OK6L}},
note = {Machine review of arXiv:1909.01373}
}
abstract
We study the orbital evolution and gravitational wave (GW) emission of supermassive black hole (SMBH) binaries formed in gas-free mergers of massive early-type galaxies using the hybrid tree-regularized N-body code KETJU. The evolution of the SMBHs and the surrounding galaxies is followed self-consistently from the large-scale merger down to the final few orbits before the black holes coalesce. Post-Newtonian corrections are included up to PN3.5-level for the binary dynamics, and the GW calculations include the corresponding corrections up to PN1.0-level. We analyze the significance of the stellar environment on the evolution of the binary and the emitted GW signal during the final GW emission dominated phase of the binary hardening and inspiral. Our simulations are compared to semi-analytic models that have often been used for making predictions for the stochastic GW background emitted by SMBHs. We find that the commonly used semi-analytic parameter values produce large differences in merger timescales and eccentricity evolution, but result in only $\sim 10\%$ differences in the GW spectrum emitted by a single binary at frequencies $f\gtrsim 10^{-1} \, \rm yr^{-1}$, which are accessible by current pulsar timing arrays. These differences are in part caused by the strong effects of the SMBH binaries on the surrounding stellar population, which are not included in the semi-analytic models.
Figures
Figures from the paper (7 more)
Forward citations
Cited by 1 Pith paper
-
RABBITS IV: Stellar feedback and SMBH merging time-scales in the sub-Milky Way mass regime
Stronger stellar feedback lowers central stellar densities in low-mass merger remnants and systematically lengthens SMBH merger delays, yielding a 30–500 Myr spread in post-hardening coalescence times.
Reference graph
Works this paper leans on
-
[1]
Abbott, B. P., et al. 2016, Physical Review Letters, 116, 061102, doi: 10.1103/PhysRevLett.116.061102
-
[2]
2017, arXiv e-prints, arXiv:1702.00786
Amaro-Seoane, P., Audley, H., Babak, S., et al. 2017, arXiv e-prints, arXiv:1702.00786. https://arxiv.org/abs/1702.00786
arXiv 2017
-
[3]
Arun, K. G., Blanchet, L., Iyer, B. R., & Qusailah, M. S. S. 2008, PhRvD, 77, 064035, doi: 10.1103/PhysRevD.77.064035
-
[4]
Arzoumanian, Z., Baker, P. T., Brazier, A., et al. 2018, ApJ, 859, 47, doi: 10.3847/1538-4357/aabd3b
-
[5]
Romani, R. W. 2017, ApJ, 843, 14, doi: 10.3847/1538-4357/aa74e1
-
[6]
Begelman, M. C., Blandford, R. D., & Rees, M. J. 1980, Nature, 287, 307, doi: 10.1038/287307a0
doi:10.1038/287307a0 1980
-
[7]
2006, ApJL, 642, L21, doi: 10.1086/504426
Berczik, P., Merritt, D., Spurzem, R., & Bischof, H.-P. 2006, ApJL, 642, L21, doi: 10.1086/504426
doi:10.1086/504426 2006
-
[8]
2009, ApJ, 695, 455, doi: 10.1088/0004-637X/695/1/455
Spurzem, R. 2009, ApJ, 695, 455, doi: 10.1088/0004-637X/695/1/455
Show all 90 references
-
[9]
2018, PhRvD, 97, 044037, doi: 10.1103/PhysRevD.97.044037
Bernard, L., Blanchet, L., Faye, G., & Marchand , T. 2018, PhRvD, 97, 044037, doi: 10.1103/PhysRevD.97.044037
2018 doi
-
[10]
2008, Galactic Dynamics: Second Edition (Princeton University Press)
Binney, J., & Tremaine, S. 2008, Galactic Dynamics: Second Edition (Princeton University Press)
2008
-
[11]
2014, Living Reviews in Relativity, 17, 2, doi: 10.12942/lrr-2014-2
Blanchet, L. 2014, Living Reviews in Relativity, 17, 2, doi: 10.12942/lrr-2014-2
2014 doi
-
[12]
Wiseman, A. G. 1995, Physical Review Letters, 74, 3515, doi: 10.1103/PhysRevLett.74.3515
1995 doi
-
[13]
2016, MNRAS, 461, 4419, doi: 10.1093/mnras/stw1590
Bonetti, M., Haardt, F., Sesana, A., & Barausse, E. 2016, MNRAS, 461, 4419, doi: 10.1093/mnras/stw1590
2016 doi
-
[14]
2018, MNRAS, 477, 2599, doi: 10.1093/mnras/sty874
Bonetti, M., Sesana, A., Barausse, E., & Haardt, F. 2018, MNRAS, 477, 2599, doi: 10.1093/mnras/sty874
2018 doi
-
[15]
1966, Numerische Mathematik, 8, 1, doi: 10.1007/BF02165234 GWs from SMBHs in Galactic Simulations 21
Bulirsch, R., & Stoer, J. 1966, Numerische Mathematik, 8, 1, doi: 10.1007/BF02165234 GWs from SMBHs in Galactic Simulations 21
1966 doi
-
[16]
R., Charisi, M., et al
Burke-Spolaor, S., Taylor, S. R., Charisi, M., et al. 2019, A&A Rv, 27, 5, doi: 10.1007/s00159-019-0115-7
2019 doi
-
[17]
2013, MNRAS, 429, 3114, doi: 10.1093/mnras/sts568
Chapon, D., Mayer, L., & Teyssier, R. 2013, MNRAS, 429, 3114, doi: 10.1093/mnras/sts568
2013 doi
-
[18]
Chen, S., Sesana, A., & Conselice, C. J. 2019, MNRAS, 488, 401, doi: 10.1093/mnras/stz1722
2019 doi
-
[19]
2012, Classical and Quantum Gravity, 29, 245002, doi: 10.1088/0264-9381/29/24/245002
Csizmadia, P., Debreczeni, G., R´ acz, I., & Vas´ uth, M. 2012, Classical and Quantum Gravity, 29, 245002, doi: 10.1088/0264-9381/29/24/245002
2012 doi
-
[20]
P., Paragi, Z., Jarvis, M
Deane, R. P., Paragi, Z., Jarvis, M. J., et al. 2014, Nature, 511, 57, doi: 10.1038/nature13454
2014 doi
-
[21]
1993, MNRAS, 265, 250, doi: 10.1093/mnras/265.1.250
Dehnen, W. 1993, MNRAS, 265, 250, doi: 10.1093/mnras/265.1.250
1993 doi
-
[22]
J., Gopakumar, A., et al
Dey, L., Valtonen, M. J., Gopakumar, A., et al. 2018, ApJ, 866, 11, doi: 10.3847/1538-4357/aadd95
2018 doi
-
[23]
2017, MNRAS, 468, 751, doi: 10.1093/mnras/stx473
Emsellem, E. 2017, MNRAS, 468, 751, doi: 10.1093/mnras/stx473
2017 doi
-
[24]
2007, Progress of Theoretical Physics, 117, 241, doi: 10.1143/PTP.117.241
Enoki, M., & Nagashima, M. 2007, Progress of Theoretical Physics, 117, 241, doi: 10.1143/PTP.117.241
2007 doi
-
[25]
G., Crain, R
Furlong, M., Bower, R. G., Crain, R. A., et al. 2017, MNRAS, 465, 722, doi: 10.1093/mnras/stw2740
2017 doi
-
[26]
Gragg, W. B. 1965, SIAM Journal on Numerical Analysis, 2, 384, doi: 10.1137/0702030
1965 doi
-
[27]
I., Dehnen, W., & Bortolas, E
Gualandris, A., Read, J. I., Dehnen, W., & Bortolas, E. 2017, MNRAS, 464, 2301, doi: 10.1093/mnras/stw2528 Hellstr¨ om, C., & Mikkola, S. 2010, Celestial Mechanics and Dynamical Astronomy, 106, 143, doi: 10.1007/s10569-009-9248-8
2017 doi
-
[28]
1990, ApJ, 356, 359, doi: 10.1086/168845
Hernquist, L. 1990, ApJ, 356, 359, doi: 10.1086/168845
1990 doi
-
[29]
G., & Fullerton, L
Hills, J. G., & Fullerton, L. W. 1980, AJ, 85, 1281, doi: 10.1086/112798
1980 doi
-
[30]
P., et al
Hilz, M., Naab, T., Ostriker, J. P., et al. 2012, MNRAS, 425, 3119, doi: 10.1111/j.1365-2966.2012.21541.x
2012
-
[31]
A., McWilliams, S
Huerta, E. A., McWilliams, S. T., Gair, J. R., & Taylor, S. R. 2015, PhRvD, 92, 063010, doi: 10.1103/PhysRevD.92.063010
2015 doi
-
[32]
Hunter, J. D. 2007, Computing in Science & Engineering, 9, 90, doi: 10.1109/MCSE.2007.55
2007 doi
-
[33]
2018, ApJL, 863, L36, doi: 10.3847/2041-8213/aad8ad
Inayoshi, K., Ichikawa, K., & Haiman, Z. 2018, ApJL, 863, L36, doi: 10.3847/2041-8213/aad8ad
2018 doi
-
[34]
H., Naab, T., & Ostriker, J
Johansson, P. H., Naab, T., & Ostriker, J. P. 2012, ApJ, 754, 115, doi: 10.1088/0004-637X/754/2/115
2012 doi
-
[35]
2001–, SciPy: Open source scientific tools for Python
Jones, E., Oliphant, T., Peterson, P., et al. 2001–, SciPy: Open source scientific tools for Python. http://www.scipy.org/
2001
-
[36]
2015, MNRAS, 452, 2337, doi: 10.1093/mnras/stv1453
Spurzem, R. 2015, MNRAS, 452, 2337, doi: 10.1093/mnras/stv1453
2015 doi
-
[37]
Z., Blecha, L., & Hernquist, L
Kelley, L. Z., Blecha, L., & Hernquist, L. 2017a, MNRAS, 464, 3131, doi: 10.1093/mnras/stw2452
-
[38]
Taylor, S. R. 2017b, MNRAS, 471, 4508, doi: 10.1093/mnras/stx1638
-
[39]
M., Berczik, P., & Just, A
Khan, F. M., Berczik, P., & Just, A. 2018a, A&A, 615, A71, doi: 10.1051/0004-6361/201730489
-
[40]
M., Capelo, P
Khan, F. M., Capelo, P. R., Mayer, L., & Berczik, P. 2018b, ApJ, 868, 97, doi: 10.3847/1538-4357/aae77b
-
[41]
M., Fiacconi, D., Mayer, L., Berczik, P., & Just, A
Khan, F. M., Fiacconi, D., Mayer, L., Berczik, P., & Just, A. 2016, ApJ, 828, 73, doi: 10.3847/0004-637X/828/2/73
2016 doi
-
[42]
M., Holley-Bockelmann, K., Berczik, P., & Just, A
Khan, F. M., Holley-Bockelmann, K., Berczik, P., & Just, A. 2013, ApJ, 773, 100, doi: 10.1088/0004-637X/773/2/100
2013 doi
-
[43]
M., Just, A., & Merritt, D
Khan, F. M., Just, A., & Merritt, D. 2011, ApJ, 732, 89, doi: 10.1088/0004-637X/732/2/89
2011 doi
-
[44]
2006, A&A, 445, 403, doi: 10.1051/0004-6361:20053241
Khochfar, S., & Burkert, A. 2006, A&A, 445, 403, doi: 10.1051/0004-6361:20053241
2006 doi
-
[45]
2018, PhRvD, 98, 104043, doi: 10.1103/PhysRevD.98.104043 K¨ onigsd¨ orffer, C., & Gopakumar, A
Vittori, L. 2018, PhRvD, 98, 104043, doi: 10.1103/PhysRevD.98.104043 K¨ onigsd¨ orffer, C., & Gopakumar, A. 2006, PhRvD, 73, 124012, doi: 10.1103/PhysRevD.73.124012
2018 doi
-
[46]
Kormendy, J., & Ho, L. C. 2013, ARA&A, 51, 511, doi: 10.1146/annurev-astro-082708-101811
2013 doi
-
[47]
2007, Science, 316, 1874, doi: 10.1126/science.1141858
Mayer, L., Kazantzidis, S., Madau, P., et al. 2007, Science, 316, 1874, doi: 10.1126/science.1141858
2007 doi
-
[48]
T., Ostriker, J
McWilliams, S. T., Ostriker, J. P., & Pretorius, F. 2014, ApJ, 789, 156, doi: 10.1088/0004-637X/789/2/156
2014 doi
-
[49]
2004, PhRvD, 70, 104011, doi: 10.1103/PhysRevD.70.104011
Memmesheimer, R.-M., Gopakumar, A., & Sch¨ afer, G. 2004, PhRvD, 70, 104011, doi: 10.1103/PhysRevD.70.104011
2004 doi
-
[50]
1985, AJ, 90, 1027, doi: 10.1086/113810
Merritt, D. 1985, AJ, 90, 1027, doi: 10.1086/113810
1985 doi
-
[51]
2013, Dynamics and evolution of galactic nuclei (Princeton University Press)
Merritt, D. 2013, Dynamics and evolution of galactic nuclei (Princeton University Press)
2013
-
[52]
2018, Nature Communications, 9, 573, doi: 10.1038/s41467-018-02916-7
Vecchio, A. 2018, Nature Communications, 9, 573, doi: 10.1038/s41467-018-02916-7
2018 doi
-
[53]
Mikkola, S., & Aarseth, S. J. 1993, Celestial Mechanics and Dynamical Astronomy, 57, 439, doi: 10.1007/BF00695714
1993 doi
-
[54]
2006, MNRAS, 372, 219, doi: 10.1111/j.1365-2966.2006.10854.x —
Mikkola, S., & Merritt, D. 2006, MNRAS, 372, 219, doi: 10.1111/j.1365-2966.2006.10854.x —. 2008, AJ, 135, 2398, doi: 10.1088/0004-6256/135/6/2398
2006
-
[55]
1999, MNRAS, 310, 745, doi: 10.1046/j.1365-8711.1999.02982.x Milosavljevi´ c, M., & Merritt, D
Mikkola, S., & Tanikawa, K. 1999, MNRAS, 310, 745, doi: 10.1046/j.1365-8711.1999.02982.x Milosavljevi´ c, M., & Merritt, D. 2001, ApJ, 563, 34, doi: 10.1086/323830
1999
-
[56]
Mora, T., & Will, C. M. 2004, PhRvD, 69, 104021, doi: 10.1103/PhysRevD.69.104021 22
2004 doi
-
[57]
P., Naab, T., & White, S
Moster, B. P., Naab, T., & White, S. D. M. 2018, MNRAS, 477, 1822, doi: 10.1093/mnras/sty655
2018 doi
-
[58]
H., & Ostriker, J
Naab, T., Johansson, P. H., & Ostriker, J. P. 2009, ApJL, 699, L178, doi: 10.1088/0004-637X/699/2/L178
2009 doi
-
[59]
Naab, T., & Ostriker, J. P. 2017, ARA&A, 55, 59, doi: 10.1146/annurev-astro-081913-040019
2017 doi
-
[60]
2010, ApJ, 725, 2312, doi: 10.1088/0004-637X/725/2/2312
Burkert, A. 2010, ApJ, 725, 2312, doi: 10.1088/0004-637X/725/2/2312
2010 doi
-
[61]
Peters, P. C. 1964, Physical Review, 136, 1224, doi: 10.1103/PhysRev.136.B1224
1964 doi
-
[62]
C., & Mathews, J
Peters, P. C., & Mathews, J. 1963, Physical Review, 131, 435, doi: 10.1103/PhysRev.131.435
1963 doi
-
[63]
Phinney, E. S. 2001, arXiv e-prints, astro. https://arxiv.org/abs/astro-ph/0108028
2001 arXiv
-
[64]
2015, Celestial Mechanics and Dynamical Astronomy, 121, 211, doi: 10.1007/s10569-014-9597-9
Pihajoki, P. 2015, Celestial Mechanics and Dynamical Astronomy, 121, 211, doi: 10.1007/s10569-014-9597-9
2015 doi
-
[65]
Poisson, E., & Will, C. M. 2014, Gravity: Newtonian,
2014
-
[66]
Post-Newtonian, Relativistic (Cambridge University Press), doi: 10.1017/CBO9781139507486
-
[67]
2011, ApJL, 732, L26, doi: 10.1088/2041-8205/732/2/L26
Preto, M., Berentzen, I., Berczik, P., & Spurzem, R. 2011, ApJL, 732, L26, doi: 10.1088/2041-8205/732/2/L26
2011 doi
-
[68]
1999, AJ, 118, 2532, doi: 10.1086/301102
Preto, M., & Tremaine, S. 1999, AJ, 118, 2532, doi: 10.1086/301102
1999 doi
-
[69]
Quinlan, G. D. 1996, NewA, 1, 35, doi: 10.1016/S1384-1076(96)00003-6
1996 doi
-
[70]
2018, ApJ, 864, 113, doi: 10.3847/1538-4357/aada47 —
Frigo, M. 2018, ApJ, 864, 113, doi: 10.3847/1538-4357/aada47 —. 2019, ApJL, 872, L17, doi: 10.3847/2041-8213/ab04b1
2018 doi
-
[71]
H., et al
Rantala, A., Pihajoki, P., Johansson, P. H., et al. 2017, ApJ, 840, 53, doi: 10.3847/1538-4357/aa6d65
2017 doi
-
[72]
B., Zavala, R
Rodriguez, C., Taylor, G. B., Zavala, R. T., et al. 2006, ApJ, 646, 49, doi: 10.1086/504825
2006 doi
-
[73]
2011, MNRAS, 415, 3033, doi: 10.1111/j.1365-2966.2011.18927.x
Roedig, C., Dotti, M., Sesana, A., Cuadra, J., & Colpi, M. 2011, MNRAS, 415, 3033, doi: 10.1111/j.1365-2966.2011.18927.x
2011
-
[74]
P., & Stone, N
Ryu, T., Perna, R., Haiman, Z., Ostriker, J. P., & Stone, N. C. 2018, MNRAS, 473, 3410, doi: 10.1093/mnras/stx2524
2018 doi
-
[75]
G., Theuns, T., et al
Salcido, J., Bower, R. G., Theuns, T., et al. 2016, MNRAS, 463, 870, doi: 10.1093/mnras/stw2048
2016 doi
-
[76]
2010, ApJ, 719, 851, doi: 10.1088/0004-637X/719/1/851 —
Sesana, A. 2010, ApJ, 719, 851, doi: 10.1088/0004-637X/719/1/851 —. 2013, Classical and Quantum Gravity, 30, 224014, doi: 10.1088/0264-9381/30/22/224014
2010 doi
-
[77]
2006, ApJ, 651, 392, doi: 10.1086/507596
Sesana, A., Haardt, F., & Madau, P. 2006, ApJ, 651, 392, doi: 10.1086/507596
2006 doi
-
[78]
Sesana, A., Haiman, Z., Kocsis, B., & Kelley, L. Z. 2018, ApJ, 856, 42, doi: 10.3847/1538-4357/aaad0f
2018 doi
-
[79]
Sesana, A., & Khan, F. M. 2015, MNRAS, 454, L66, doi: 10.1093/mnrasl/slv131
2015 doi
-
[80]
Sesana, A., Vecchio, A., & Colacino, C. N. 2008, MNRAS, 390, 192, doi: 10.1111/j.1365-2966.2008.13682.x
2008
-
[81]
2005, MNRAS, 361, 776, doi: 10.1111/j.1365-2966.2005.09238.x
Springel, V., Di Matteo, T., & Hernquist, L. 2005, MNRAS, 361, 776, doi: 10.1111/j.1365-2966.2005.09238.x
2005
-
[82]
2010, PhRvD, 82, 124064, doi: 10.1103/PhysRevD.82.124064
Tessmer, M., & Sch¨ afer, G. 2010, PhRvD, 82, 124064, doi: 10.1103/PhysRevD.82.124064
2010 doi
-
[83]
J., et al
Thomas, J., Ma, C.-P., McConnell, N. J., et al. 2016, Nature, 532, 340, doi: 10.1038/nature17197
2016 doi
-
[84]
2018, PASA, 35, e013, doi: 10.1017/pasa.2018.7
Tiburzi, C. 2018, PASA, 35, e013, doi: 10.1017/pasa.2018.7
2018 doi
-
[85]
R., & Pontzen, A
Tremmel, M., Governato, F., Volonteri, M., Quinn, T. R., & Pontzen, A. 2018, MNRAS, 475, 4967, doi: 10.1093/mnras/sty139
2018 doi
-
[86]
J., Lehto, H
Valtonen, M. J., Lehto, H. J., Nilsson, K., et al. 2008, Nature, 452, 851, doi: 10.1038/nature06896 van der Walt, S., Colbert, S. C., & Varoquaux, G. 2011, Computing in Science Engineering, 13, 22, doi: 10.1109/MCSE.2011.37
2008 doi
-
[87]
2015, ApJ, 810, 49, doi: 10.1088/0004-637X/810/1/49
Vasiliev, E., Antonini, F., & Merritt, D. 2015, ApJ, 810, 49, doi: 10.1088/0004-637X/810/1/49
2015 doi
-
[88]
2003, ApJ, 582, 559, doi: 10.1086/344675
Volonteri, M., Haardt, F., & Madau, P. 2003, ApJ, 582, 559, doi: 10.1086/344675
2003 doi
-
[89]
2015, MNRAS, 449, 361, doi: 10.1093/mnras/stv303
Wellons, S., et al. 2015, MNRAS, 449, 361, doi: 10.1093/mnras/stv303
2015 doi
-
[90]
Will, C. M. 2006, Living Reviews in Relativity, 9, 3, doi: 10.12942/lrr-2006-3
2006 doi
Reviewed August 14, 2026 · model on record in the stance chip above.
Discussion (0). Continue with ORCID to comment.