REVIEW 3 major objections 6 minor 122 references
First star clusters can form intermediate-mass black holes by redshift 19, bridging light and heavy seeds for the earliest supermassive black holes.
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 · grok-4.5
2026-07-12 01:47 UTC pith:FVLEQHZN
load-bearing objection Solid N-body grid with cosmologically weighted IMBH mass functions; the ~200 M⊙ peak is robust, the heavy-seed end is optimistic and rests on the IH25 mass-to-cluster mapping the authors themselves flag. the 3 major comments →
Pebbles to Gems: Intermediate-mass black holes in the first star clusters
The pith
A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.
Core claim
By redshift approximately 19, Pop. III star clusters with masses from about 10^3 to 4 times 10^5 solar masses produce an IMBH mass function that peaks at roughly 200 solar masses with number densities 0.2 to 5 per cubic megaparsec; in sufficiently dense and massive systems, IMBHs above 10^3 solar masses (reaching about 6200 solar masses via collapse of collisionally assembled very massive stars) form with densities 10^{-4} to 10^{-2} per cubic megaparsec and retention fractions of at least 88 percent, so these clusters can incubate both light and heavy supermassive-black-hole seeds.
What carries the argument
Direct N-body evolution of cosmologically weighted Pop. III clusters (King or fractal profiles, half-mass radii 0.5 or 1 pc) that couples stellar and binary evolution (two overshooting tracks, two binary-orbit distributions) with dynamical collisions and mergers, then weights each remnant by the comoving abundance of its host cluster mass.
Load-bearing premise
The calculation assumes that the entire Pop. III stellar mass formed inside each minihalo starts as a single dense star cluster; if real fragmentation splits that mass into several lower-mass or less dense systems, the high-mass IMBH channel and the elevated densities largely disappear.
What would settle it
A clear observational or high-resolution simulation result showing that typical Pop. III minihalos never assemble star clusters more massive than a few thousand solar masses with half-mass densities high enough for runaway collisions would eliminate the heavy-seed end of the predicted IMBH population.
If this is right
- Even a ~10 percent clustering efficiency among Pop. III stars can supply enough retained IMBHs to match the observed high-redshift supermassive black hole number density.
- The ~200 solar-mass peak remains robust across stellar tracks and binary prescriptions, while the >10^3 solar-mass tail requires dense, massive, preferably fractal clusters.
- Because most IMBHs stay bound, subsequent minihalo mergers and dynamical friction can deliver them efficiently to galactic centers for further growth.
- Models that combine large stellar radii with tight primordial binaries produce the largest excess of IMBHs relative to purely isolated Pop. III evolution.
Where Pith is reading between the lines
- If hierarchical minihalo mergers later compress or reassemble these clusters, the same collision channels could continue growing the heaviest IMBHs beyond the 6200 solar-mass ceiling found here.
- The predicted retained IMBH population supplies a natural target for future gravitational-wave searches of intermediate-mass-ratio inspirals at high redshift.
- A top-heavy IMF or a lower maximum stellar mass would mainly rescale the number densities while leaving the qualitative light-plus-heavy seed picture intact, as long as dense clusters still form.
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. The paper uses a suite of direct N-body simulations (PeTar + bseEmp) of Pop. III star clusters, initialized with cosmologically motivated cluster and minihalo masses from Hartwig et al. (2022; H22) and Ishiyama & Hirano (2025; IH25), to quantify IMBH formation by z∼19. Across stellar tracks (L/M), binary orbital distributions (S12/SB13), and dynamical setups (monolithic/fractal, rh=0.5–1 pc), the IMBH mass function peaks at m_IMBH∼200 M⊙ with cosmologically weighted number densities n_IMBH∼0.2–5 cMpc−3. In the densest, most massive IH25 clusters, repeated stellar collisions build VMSs that collapse to IMBHs up to ∼6200 M⊙, with n_IMBH∼10−4–10−2 cMpc−3 for m>10^3 M⊙ and retention ≳88%. The authors conclude that dense Pop. III clusters can incubate both light and heavy SMBH seeds even if only a fraction of Pop. III stars form in such systems.
Significance. If the results hold under more conservative multiplicity and density assumptions, the work would strengthen the case that dynamical Pop. III clusters bridge traditional light- and heavy-seed channels at z≳19, with number densities competitive with isolated Pop. III remnants and with a retained high-mass tail that is hard to obtain from direct-collapse scenarios alone. Strengths include: (i) cosmologically weighted mass functions (Fig. 3) rather than raw simulation counts; (ii) explicit isolation baselines with the same binary fraction (Fig. 5); (iii) channel decomposition (Table 2) separating SE, VMS, and BBH pathways; (iv) systematic variation of stellar tracks, binary parameters, and fractal vs monolithic structure; and (v) a clear caveats section (Sec. 4.3) on gas, rotation, GW recoils, IMF, and IH25 multiplicity. These make the light-seed peak and the relative role of dynamics falsifiable and useful for semi-analytic seeding models.
major comments (3)
- [Sec. 2.1.2, 2.4, 4.3; Abstract; Sec. 5] Sec. 2.1.2, 2.4 and especially Sec. 4.3: equating the total Pop. III stellar mass per minihalo in IH25 to a single dense cluster mass is load-bearing for the heavy-seed claim (m_IMBH>10^3 M⊙ up to ∼6200 M⊙; n_IMBH∼10−4–10−2 cMpc−3) and for the abstract/conclusion statement that clusters incubate both light and heavy seeds “even if only a fraction” of Pop. III stars form there. The paper itself notes that IH25 forms one star per halo and that fragmentation (with streaming velocities) can redistribute mass into multiple lower-mass systems and reduce total stellar mass, so IH25-based M_cl are optimistic upper limits. H22 alone never produces m_IMBH≳500 M⊙ (Fig. 3; App. B.1). Please either (a) add a sensitivity suite with fragmented/lower M_cl consistent with multiplicity, or (b) demote the heavy-seed number densities and the “bridge” language in the abstract and Sec. 5 to explicitly optimis
- [Sec. 3.1; Fig. 3] Sec. 3.1: the cosmologically weighted n_IMBH includes IMBHs that are expelled by the end of the run, while the text states they are “unlikely to represent SMBH seeds.” Retention is later quoted as ≳88% (1–12% ejected, mostly ≲500 M⊙). For the seeding narrative, please report retained vs total number densities separately in Fig. 3 (or a companion panel/table), and ensure the abstract and Sec. 4.1–4.2 quotes used for SMBH-seed comparisons refer to the retained population only.
- [Sec. 2.2.1; Sec. 3.2; Fig. 4; App. B.2] Sec. 2.2.1 and Sec. 3.2: BH–star collisions assume f_c=0.5 of the stellar mass is accreted. Table 2 shows SE/VMS dominate and BBHm is ≲0.1%, and the text states ≲10% of SE/VMS IMBHs grow further via collisions with only ≲3% accreting >5 M⊙, so the peak at ∼200 M⊙ is unlikely to depend on f_c. However, the most massive objects (App. B.2; Fig. 4) can involve BH–star collisions after VMS assembly. A short sensitivity test (e.g. f_c=0 and f_c=1) for the high-mass tail in the F05/IH25 runs would show whether ∼6200 M⊙ and the n_IMBH for m>10^3 M⊙ are robust or f_c-dependent.
minor comments (6)
- [Fig. 1; Sec. 2.1] Fig. 1 caption and Sec. 2.1: clarify that the cluster mass distribution for IH25 is the total Pop. III stellar mass per minihalo under the single-star assumption, not an independent cluster mass function, so readers do not misread the right-hand panel as observed cluster masses.
- [Sec. 2.3.1; Table 2] Sec. 2.3.1: the definition “VMS as a star with m_∗>300 M⊙” coincides with the IMF upper limit m_max=300 M⊙, so all VMSs are collision products. State this explicitly when introducing the VMS channel so Table 2 is unambiguous.
- [Fig. 5] Fig. 5: the isolation baseline (black dashed line) is very useful; please state in the caption whether it uses the same IMF, m_max, binary fraction, and L/M tracks as each panel, and whether it is per cluster mass or a continuous curve.
- [Appendix A; Fig. A.1] App. A: the IMF comparison uses a single realization. Note the lack of repetitions in the caption so the order-of-magnitude shifts are not over-interpreted relative to the multi-realization main suite.
- [Throughout; Sec. 3.3] Typographical: “V olonteri” appears with a space in several places (e.g. author list and references); unify to “Volonteri”. Also “T otal number of IMBHs” (Sec. 3.3 heading) has a spurious space.
- [Sec. 2.2.2] Sec. 2.2.2: simulation time is fixed at 20 Myr and stated to be ≳ half-mass relaxation time. A brief table or sentence giving t_rh for the M_cl extremes (H22 vs IH25, rh=0.5 vs 1 pc) would help readers judge whether the most massive systems are fully relaxed.
Circularity Check
No significant circularity: IMBH mass functions and number densities are independent outputs of new N-body runs, weighted by external semi-analytic abundances.
full rationale
The paper's central claims (IMBH mass function peaking near 200 M⊙ with n_IMBH ~0.2–5 cMpc^{-3}, and rarer >10^3 M⊙ objects up to ~6200 M⊙) are produced by a suite of direct PeTar N-body simulations that evolve cosmologically motivated initial conditions drawn from the external semi-analytic models H22 and IH25. Number densities are obtained by weighting each simulated IMBH by the host-cluster abundance n_III(M_cl) supplied by those models (explicit formula in Sec. 3.1); the IMBH yields themselves are simulation outputs, not free parameters. Stellar-evolution tracks, binary distributions, and dynamical configurations are varied as an exploration of parameter space rather than fitted to a target. Self-citations to prior dynamical work by overlapping authors exist but are not load-bearing for the mass functions or densities. The modeling choice that equates total Pop. III stellar mass per minihalo to a single cluster mass is an assumption (flagged as an upper limit in Sec. 4.3), not a circular reduction of the claimed n_IMBH to an input by construction. No equation, uniqueness theorem, or ansatz smuggled via self-citation forces the reported results.
Axiom & Free-Parameter Ledger
free parameters (8)
- f_c (BH–star collision accretion fraction) =
0.5
- half-mass radius r_h =
0.5 or 1 pc
- King central potential W0 =
5
- NFW concentration c =
3.5
- common-envelope efficiency α_CE =
1
- IMF upper mass m_max =
300 M⊙
- fractal dimension D =
1.6
- simulation duration =
20 Myr
axioms (6)
- ad hoc to paper Initial cluster mass equals total Pop. III stellar mass formed in the host minihalo at z∼20.
- domain assumption Pop. III IMF is log-flat (ξ∝m⁻¹) between 0.08 and 300 M⊙ and invariant with cluster mass/environment.
- domain assumption Host minihalos evolve in isolation for the 20 Myr simulation window with fixed NFW tides.
- domain assumption Core-collapse SN, natal kicks, and (P)PISN follow Fryer rapid / Belczynski / Leung moderate prescriptions in bseEmp.
- domain assumption GW recoil kicks after compact mergers are neglected; only first-generation BBH mergers can form IMBHs.
- domain assumption No residual gas, no cluster rotation, and no second-generation star formation after the first SNe.
read the original abstract
The rapid assembly of supermassive black holes (SMBHs) observed at $z\gtrsim7$ requires efficient seeding mechanisms in the early Universe. Population III (Pop. III) star clusters have recently emerged as a promising pathway that may bridge the gap between traditional light- and heavy-seed scenarios by producing intermediate-mass black holes (IMBHs) with masses up to $\sim10^4\,\rm M_{\odot}$. We investigate the properties and number densities of IMBHs forming in Pop. III star clusters with masses $M_{\rm cl}\sim10^3-4\times10^5\,\rm M_{\odot}$, and hosted in isolated dark matter minihalos, using a suite of direct $N$-body simulations. We adopt cosmologically motivated initial conditions and explore different stellar evolution prescriptions, binary orbital parameter distributions, and cluster dynamical configurations. By $z\sim19$, the IMBH mass function consistently peaks at $m_{\rm IMBH}\sim200\,\rm M_{\odot}$, with number densities of $n_{\rm IMBH}\sim0.2-5\,\rm cMpc^{-3}$. In sufficiently dense and massive clusters, IMBHs with masses $>10^3\,\rm M_{\odot}$ can already form by $z\sim19$, reaching number densities of $n_{\rm IMBH}\sim10^{-4}-10^{-2}\,\rm cMpc^{-3}$. The most massive IMBHs in our models reach $\sim6200\,\rm M_{\odot}$ through the collapse of very massive stars assembled by repeated stellar collisions, a process enhanced in fractal clusters. Lower-mass IMBHs form instead predominantly through single and binary stellar evolution and binary stellar mergers. We find that models combining large stellar radii and tight binaries produce the highest IMBH abundances relative to isolated Pop. III evolution. Owing to the high retention fraction of IMBHs ($\gtrsim88\%$), massive dense Pop. III star clusters can act as efficient incubators of both light and heavy SMBH seeds, even if only a fraction of Pop. III stars formed in such environments.
Figures
Reference graph
Works this paper leans on
-
[1]
2015, MNRAS, 452, 246
Ryon, J. 2015, MNRAS, 452, 246
2015
-
[2]
2016, MNRAS, 459, 4209
Agarwal, B., Smith, B., Glover, S., Natarajan, P., & Khochfar, S. 2016, MNRAS, 459, 4209
2016
-
[3]
B., Casey, C
Akins, H. B., Casey, C. M., Lambrides, E., et al. 2025, ApJ, 991, 37
2025
-
[4]
& Natarajan, P
Alexander, T. & Natarajan, P. 2014, Science, 345, 1330
2014
-
[5]
A., Wise, J
Alvarez, M. A., Wise, J. H., & Abel, T. 2009, ApJ, 701, L133
2009
-
[6]
2013, ApJ, 763, 62 Arca Sedda, M., Kamlah, A
Antonini, F. 2013, ApJ, 763, 62 Arca Sedda, M., Kamlah, A. W. H., Spurzem, R., et al. 2024, MNRAS, 528, 5119 Arca Sedda, M., Kamlah, A. W. H., Spurzem, R., et al. 2023, MNRAS, 526, 429
2013
-
[7]
2021, MNRAS, 500, 3002
Banerjee, S. 2021, MNRAS, 500, 3002
2021
-
[8]
& Loeb, A
Barkana, R. & Loeb, A. 2001, Phys. Rep., 349, 125
2001
-
[9]
C., V olonteri, M., & Rees, M
Begelman, M. C., V olonteri, M., & Rees, M. J. 2006, MNRAS, 370, 289
2006
-
[10]
E., Bulik, T., & O’Shaughnessy, R
Belczynski, K., Holz, D. E., Bulik, T., & O’Shaughnessy, R. 2016, Nature, 534, 512
2016
-
[11]
E., et al
Belczynski, K., Klencki, J., Fields, C. E., et al. 2020, A&A, 636, A104
2020
-
[12]
2026, A&A, 708, A10
Mastrobuono-Battisti, A. 2026, A&A, 708, A10
2026
-
[13]
& Loeb, A
Bromm, V . & Loeb, A. 2003, ApJ, 596, 34
2003
-
[14]
2021, MNRAS, 508, 4175
Chon, S., Omukai, K., & Schneider, R. 2021, MNRAS, 508, 4175
2021
-
[15]
Claeys, J. S. W., Pols, O. R., Izzard, R. G., Vink, J., & Verbunt, F. W. M. 2014, A&A, 563, A83
2014
-
[16]
C., Glover, S
Clark, P. C., Glover, S. C. O., Smith, R. J., et al. 2011, Science, 331, 1040
2011
-
[17]
A., Wyithe, J
Correa, C. A., Wyithe, J. S. B., Schaye, J., & Duffy, A. R. 2015, MNRAS, 452, 1217
2015
-
[18]
2023, MNRAS, 525, 2891 Di Carlo, U
Costa, G., Mapelli, M., Iorio, G., et al. 2023, MNRAS, 525, 2891 Di Carlo, U. N., Giacobbo, N., Mapelli, M., et al. 2019, MN- RAS, 487, 2947
2023
-
[19]
R., Kulkarni, M., Visbal, E., & Hazlett, R
Feathers, C. R., Kulkarni, M., Visbal, E., & Hazlett, R. 2024, ApJ, 962, 62
2024
-
[20]
L., Belczynski, K., Wiktorowicz, G., et al
Fryer, C. L., Belczynski, K., Wiktorowicz, G., et al. 2012, ApJ, 749, 91
2012
-
[21]
2020, MNRAS, 497, 829
Fukushima, H., Hosokawa, T., Chiaki, G., et al. 2020, MNRAS, 497, 829
2020
-
[22]
2006, MNRAS, 371, 484
Giersz, M. 2006, MNRAS, 371, 484
2006
-
[23]
E., Setton, D
Greene, J. E., Setton, D. J., Furtak, L. J., et al. 2026, ApJ, 996, 129
2026
-
[24]
E., Strader, J., & Ho, L
Greene, J. E., Strader, J., & Ho, L. C. 2020, ARA&A, 58, 257
2020
-
[25]
H., Springel, V ., White, S
Greif, T. H., Springel, V ., White, S. D. M., et al. 2011, ApJ, 737, 75
2011
-
[26]
F., Dooley, G
Griffen, B. F., Dooley, G. A., Ji, A. P., et al. 2018, MNRAS, 474, 443
2018
-
[27]
F., Ji, A
Griffen, B. F., Ji, A. P., Dooley, G. A., et al. 2016, ApJ, 818, 10
2016
-
[28]
2016, MNRAS, 463, 529
Habouzit, M., V olonteri, M., Latif, M., Dubois, Y ., & Peirani, S. 2016, MNRAS, 463, 529
2016
-
[29]
R., Millman, K
Harris, C. R., Millman, K. J., van der Walt, S. J., et al. 2020, Nature, 585, 357
2020
-
[30]
Hartwig, T., Lipatova, V ., Glover, S. C. O., & Klessen, R. S. 2024, MNRAS, 535, 516
2024
-
[31]
2022, ApJ, 936, 45
Hartwig, T., Magg, M., Chen, L.-H., et al. 2022, ApJ, 936, 45
2022
-
[32]
Hirano, S., Hosokawa, T., Yoshida, N., Omukai, K., & Yorke, H. W. 2015, MNRAS, 448, 568
2015
-
[33]
2014, ApJ, 781, 60
Hirano, S., Hosokawa, T., Yoshida, N., et al. 2014, ApJ, 781, 60
2014
-
[34]
2026, MNRAS, 548, stag634
Hirano, S., Sakai, Y ., & Umeda, H. 2026, MNRAS, 548, stag634
2026
-
[35]
2023, MNRAS, 525, 5737
Hirano, S., Shen, Y ., Nishijima, S., Sakai, Y ., & Umeda, H. 2023, MNRAS, 525, 5737
2023
-
[36]
Hirano, S., Yoshida, N., Sakurai, Y ., & Fujii, M. S. 2018, ApJ, 855, 17
2018
-
[37]
Hosokawa, T., Omukai, K., Yoshida, N., & Yorke, H. W. 2011, Science, 334, 1250
2011
-
[38]
A., Pawlik, A
Hummel, J. A., Pawlik, A. H., Milosavljevi ´c, M., & Bromm, V . 2012, ApJ, 755, 72
2012
-
[39]
Hunter, J. D. 2007, Computing in Science & Engineering, 9, 90
2007
-
[40]
R., Tout, C
Hurley, J. R., Tout, C. A., & Pols, O. R. 2002, MNRAS, 329, 897
2002
-
[41]
& Tanaka, T
Inayoshi, K. & Tanaka, T. L. 2015, MNRAS, 450, 4350
2015
-
[42]
2020, ARA&A, 58, 27
Inayoshi, K., Visbal, E., & Haiman, Z. 2020, ARA&A, 58, 27
2020
-
[43]
& Hirano, S
Ishiyama, T. & Hirano, S. 2025, ApJ, 994, 107
2025
-
[44]
A., et al
Ishiyama, T., Prada, F., Klypin, A. A., et al. 2021, MNRAS, 506, 4210
2021
-
[45]
2016, ApJ, 826, 9
Ishiyama, T., Sudo, K., Yokoi, S., et al. 2016, ApJ, 826, 9
2016
-
[46]
L., & Bromm, V
Jaacks, J., Finkelstein, S. L., & Bromm, V . 2019, MNRAS, 488, 2202
2019
-
[47]
Jaura, O., Glover, S. C. O., Wollenberg, K. M. J., et al. 2022, MNRAS, 512, 116
2022
-
[48]
L., Dalla Vecchia, C., & Khochfar, S
Johnson, J. L., Dalla Vecchia, C., & Khochfar, S. 2013, MNRAS, 428, 1857
2013
-
[49]
Kamlah, A. W. H., Spurzem, R., Berczik, P., et al. 2022, MN- RAS, 516, 3266
2022
-
[50]
King, I. R. 1966, AJ, 71, 64 Kıro˘glu, F., Kremer, K., Biscoveanu, S., González Prieto, E., &
1966
-
[51]
Rasio, F. A. 2025a, ApJ, 979, 237 Kıro˘glu, F., Kremer, K., & Rasio, F. A. 2025b, arXiv e-prints, arXiv:2509.05415
-
[52]
Klessen, R. S. & Glover, S. C. O. 2023, ARA&A, 61, 65
2023
-
[53]
S., Rui, N
Kremer, K., Ye, C. S., Rui, N. Z., et al. 2020, ApJS, 247, 48
2020
-
[54]
Kruijssen, J. M. D. 2012, MNRAS, 426, 3008
2012
-
[55]
Kulkarni, M., Visbal, E., & Bryan, G. L. 2021, ApJ, 917, 40 Küpper, A. H. W., Maschberger, T., Kroupa, P., & Baumgardt, H. 2011, MNRAS, 417, 2300
2021
-
[56]
2019, ApJ, 887, 72
Leung, S.-C., Nomoto, K., & Blinnikov, S. 2019, ApJ, 887, 72
2019
-
[57]
& Bromm, V
Liu, B. & Bromm, V . 2020, MNRAS, 495, 2475
2020
-
[58]
2024, MNRAS, 534, 290
Liu, B., Gurian, J., Inayoshi, K., et al. 2024, MNRAS, 534, 290
2024
-
[59]
F., Ma, X., et al
Ma, L., Hopkins, P. F., Ma, X., et al. 2021, MNRAS, 508, 1973
2021
-
[60]
& Rees, M
Madau, P. & Rees, M. J. 2001, ApJ, 551, L27
2001
-
[61]
2022, A- SLOTH: Semi-analytical model to connect first stars and galaxies to observables, Astrophysics Source Code Library, record ascl:2209.001
Magg, M., Hartwig, T., Chen, L.-H., & Tarumi, Y . 2022, A- SLOTH: Semi-analytical model to connect first stars and galaxies to observables, Astrophysics Source Code Library, record ascl:2209.001
2022
-
[62]
2024, Nature, 627, 59
Maiolino, R., Scholtz, J., Witstok, J., et al. 2024, Nature, 627, 59
2024
-
[63]
2016, MNRAS, 459, 3432
Mapelli, M. 2016, MNRAS, 459, 3432
2016
-
[64]
2021, MN- RAS, 505, 339
Mapelli, M., Dall’Amico, M., Bouffanais, Y ., et al. 2021, MN- RAS, 505, 339
2021
-
[65]
& Kroupa, P
Marks, M. & Kroupa, P. 2012, A&A, 543, A8
2012
-
[66]
Mehta, D. H., Regan, J. A., & Prole, L. 2026, Nature Astronomy [arXiv:2601.14395]
arXiv 2026
-
[67]
2024, A&A, 690, A106
Mestichelli, B., Mapelli, M., Torniamenti, S., et al. 2024, A&A, 690, A106
2024
-
[68]
2026, arXiv e-prints, arXiv:2602.17762 Milosavljevi´c, M., Couch, S
Branchesi, M. 2026, arXiv e-prints, arXiv:2602.17762 Milosavljevi´c, M., Couch, S. M., & Bromm, V . 2009, ApJ, 696, L146 Article number, page 11 of 14 A&A proofs:manuscript no. aanda
arXiv 2026
-
[69]
& Di Stefano, R
Moe, M. & Di Stefano, R. 2017, ApJS, 230, 15
2017
-
[70]
2021, MNRAS, 501, 1413
Natarajan, P. 2021, MNRAS, 501, 1413
2021
-
[71]
F., Frenk, C
Navarro, J. F., Frenk, C. S., & White, S. D. M. 1996, ApJ, 462, 563 O’Brennan, H., Regan, J. A., Brennan, J., et al. 2025, The Open Journal of Astrophysics, 8, 88
1996
-
[72]
2011, PASJ, 63, 881
Oshino, S., Funato, Y ., & Makino, J. 2011, PASJ, 63, 881
2011
-
[73]
2026, A&A, 708, A200 pandas development team, T
Paiella, L., Arca Sedda, M., Mestichelli, B., & Ugolini, C. 2026, A&A, 708, A200 pandas development team, T. 2020, pandas-dev/pandas: Pandas
2026
-
[74]
Peters, P. C. 1964, Physical Review, 136, 1224
1964
-
[75]
2019, MNRAS, 486, 101
Pfister, H., V olonteri, M., Dubois, Y ., Dotti, M., & Colpi, M. 2019, MNRAS, 486, 101
2019
-
[76]
Phinney, E. S. 1992, Philosophical Transactions of the Royal So- ciety of London Series A, 341, 39 Planck Collaboration, Adam, R., Aghanim, N., et al. 2016, A&A, 596, A108 Planck Collaboration, Aghanim, N., Akrami, Y ., et al. 2020, A&A, 641, A6 Portegies Zwart, S. F., Baumgardt, H., Hut, P., Makino, J., &
1992
-
[77]
McMillan, S. L. W. 2004, Nature, 428, 724 Portegies Zwart, S. F. & McMillan, S. L. W. 2002, ApJ, 576, 899
2004
-
[78]
R., Clark, P
Prole, L. R., Clark, P. C., Klessen, R. S., & Glover, S. C. O. 2022, MNRAS, 510, 4019
2022
-
[79]
R., Regan, J
Prole, L. R., Regan, J. A., Glover, S. C. O., et al. 2024, A&A, 685, A31
2024
-
[80]
R., Regan, J
Prole, L. R., Regan, J. A., Mehta, D., et al. 2026, The Open Jour- nal of Astrophysics, 9, 59236
2026
discussion (0)
Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.