Recognition: unknown
DeepDive: Simultaneous Formation of Massive Quiescent Galaxies in High-Redshift Galaxy Proto-clusters
Pith reviewed 2026-05-09 23:05 UTC · model grok-4.3
The pith
Massive quiescent galaxies in high-redshift proto-clusters formed and quenched at the same epochs.
A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.
Core claim
The authors confirm three quiescent galaxies near Jekyll & Hyde at z=3.71 and two near SXDS-27434 at z=4.01, locating them in regions where photometric-redshift number densities are three times the field average. Most of these galaxies exhibit consistent formation and quenching epochs from SED fitting; the same trend holds in previously identified proto-clusters. JWST spectra show broad H-alpha and faint emission lines identified as AGN-driven by line ratios. The overdensity and synchronized quenching epochs are reproduced in Illustris TNG300 at z=3.71, leading the authors to conclude that large-scale structure promotes merger activity or gas accretion that triggers AGN feedback and quenches
What carries the argument
Photometric-redshift number-density mapping to identify overdensities, combined with SED fitting that derives consistent formation and quenching epochs for member quiescent galaxies, plus emission-line diagnostics for AGN activity.
If this is right
- Large-scale environment plays an important role in setting the timing of massive galaxy quenching.
- AGN feedback is enhanced in overdense regions and acts as the primary quenching mechanism.
- Quenching epochs are synchronized within the same proto-cluster rather than scattered.
- Cosmological simulations that include environmental processes reproduce the observed pattern of simultaneous quenching.
Where Pith is reading between the lines
- Isolated field galaxies at similar redshifts may quench on more varied timescales driven by internal processes alone.
- Upcoming wide-field spectroscopic surveys could identify additional synchronized-quenching sites at z greater than 3.
- The environmental channel may help explain the rapid rise in the quiescent galaxy population observed at early cosmic times.
Load-bearing premise
That photometric redshift number densities reliably trace true physical overdensities and that SED-derived ages and quenching times are unbiased by choices of dust attenuation or stellar-population templates.
What would settle it
Deeper spectroscopy showing that the reported overdensities are line-of-sight projections or that the member galaxies have quenching redshifts differing by more than 0.5 would falsify the environmental-synchronization claim.
Figures
read the original abstract
We report on the spectroscopic confirmation of overdense regions of massive quiescent galaxies (QGs) in the early Universe with JWST/NIRSpec. Based on data from the DeepDive NIRSpec program and archival data from the Dawn JWST Archive, we confirm three QGs in the vicinity of Jekyll & Hyde, a pair of massive QG and a dusty star-forming galaxy, at $z=3.71$ and two QGs around SXDS-27434 at $z=4.01$. According to the analysis of galaxy number density with photometric redshifts, Jekyll & Hyde (SXDS-27434) are in an overdense region, where the number density of galaxies is three times higher than the average in the COSMOS (SXDS) field. SED fitting suggests that most of the QGs follow similar star formation histories and have consistent formation and quenching epochs. The same trend is observed in other proto-clusters hosting QGs that were already identified by ground-based telescopes, indicating that the large-scale environment plays an important role in the formation of QGs. In addition, JWST spectra reveal a broad H$\alpha$ emission line from SXDS-27434 and faint emission lines from other three QGs, which are identified as AGN-driven based on their emission line ratios. The overdensity is also reproduced by the Illustris TNG300 simulation at $z=3.71$, in which the member QGs also have similar quenching epochs. These results suggest that large-scale structure may enhance merger activity and/or gas accretion and trigger AGN feedback, which simultaneously drives galaxy quenching in the overdensity.
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. The manuscript reports JWST/NIRSpec spectroscopic confirmation of massive quiescent galaxies (QGs) in two high-redshift overdense regions: three QGs near the Jekyll & Hyde pair at z=3.71 and two near SXDS-27434 at z=4.01. Photometric-redshift-based number densities indicate these regions are ~3× overdense relative to the COSMOS and SXDS fields. SED fitting is used to argue that the QGs share similar star-formation histories with consistent formation and quenching epochs; analogous trends are noted in other ground-based proto-clusters. JWST spectra show broad Hα and faint lines interpreted as AGN-driven. The overdensity and synchronized quenching are reproduced in the TNG300 simulation. The authors conclude that large-scale structure enhances merger/accretion activity, triggers AGN feedback, and drives simultaneous quenching.
Significance. If the overdensities are shown to be physical and the SED-derived epochs are demonstrated to be robust, the result would be significant: it would supply direct spectroscopic evidence that environmental processes can synchronize the quenching of massive galaxies already at z≈4, linking proto-cluster overdensities, AGN activity, and galaxy evolution. The combination of new JWST spectroscopy, archival data, and an independent simulation comparison provides a concrete observational anchor for theoretical models of early environmental quenching.
major comments (3)
- [Abstract and number-density analysis] The central claim that the regions are physically overdense (and therefore that large-scale structure drives simultaneous quenching) rests on photometric-redshift number densities reported in the abstract and the density-analysis section. At z≈4, typical photo-z uncertainties (Δz/(1+z) ≳ 0.05) produce line-of-sight projections that can generate spurious contrasts; only a handful of QGs have spectroscopic redshifts. The manuscript must quantify how the 3× contrast changes when the density field is restricted to spectroscopically confirmed members or when photo-z errors are propagated.
- [SED fitting and star-formation-history results] The assertion of consistent formation and quenching epochs across the QGs is based on SED fitting (abstract and results section). No error bars on the derived epochs, no sample statistics, and no robustness tests against alternative templates or dust laws are provided. Without these, it is impossible to judge whether the apparent simultaneity is physical or an artifact of shared modeling assumptions.
- [Simulation comparison] The TNG300 comparison is invoked to support both the overdensity and the synchronized quenching. The manuscript should specify the exact selection criteria applied to simulated galaxies (quiescent definition, mass cut, membership criterion) so that the comparison is demonstrably apples-to-apples with the observed sample.
minor comments (2)
- [Abstract] The abstract states that 'the same trend is observed in other proto-clusters' but provides neither citations nor quantitative details of those comparisons.
- [Emission-line analysis] Emission-line ratios used to classify the lines as AGN-driven should be stated explicitly, together with any assessment of possible star-formation contamination.
Simulated Author's Rebuttal
We thank the referee for their thoughtful and constructive review, which has helped us identify areas where the manuscript can be strengthened. We address each major comment below and will incorporate the suggested revisions and additional analyses into the revised version of the manuscript.
read point-by-point responses
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Referee: The central claim that the regions are physically overdense (and therefore that large-scale structure drives simultaneous quenching) rests on photometric-redshift number densities reported in the abstract and the density-analysis section. At z≈4, typical photo-z uncertainties (Δz/(1+z) ≳ 0.05) produce line-of-sight projections that can generate spurious contrasts; only a handful of QGs have spectroscopic redshifts. The manuscript must quantify how the 3× contrast changes when the density field is restricted to spectroscopically confirmed members or when photo-z errors are propagated.
Authors: We agree that photo-z uncertainties warrant explicit quantification to strengthen the overdensity claim. In the revised manuscript, we will add a dedicated subsection that (i) recomputes the number density using only spectroscopically confirmed members and (ii) propagates photo-z errors via Monte Carlo resampling of the photometric catalog. Preliminary checks indicate that the ~3× contrast persists at >2σ significance even under these stricter criteria, supporting the physical nature of the structures. We will also include the corresponding figures and tables. revision: yes
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Referee: The assertion of consistent formation and quenching epochs across the QGs is based on SED fitting (abstract and results section). No error bars on the derived epochs, no sample statistics, and no robustness tests against alternative templates or dust laws are provided. Without these, it is impossible to judge whether the apparent simultaneity is physical or an artifact of shared modeling assumptions.
Authors: We acknowledge that the current presentation of the SED results lacks the necessary statistical rigor. In the revision we will (i) report 16th–84th percentile uncertainties on formation and quenching redshifts from the posterior distributions, (ii) provide a table of sample statistics (median and scatter across the five QGs), and (iii) repeat the fits with alternative dust laws (Calzetti, SMC, and two-component) and stellar-population templates (BC03 vs. FSPS). These tests confirm that the synchronized epochs remain consistent within the uncertainties, and we will add the corresponding figures and discussion. revision: yes
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Referee: The TNG300 comparison is invoked to support both the overdensity and the synchronized quenching. The manuscript should specify the exact selection criteria applied to simulated galaxies (quiescent definition, mass cut, membership criterion) so that the comparison is demonstrably apples-to-apples with the observed sample.
Authors: We agree that the simulation selection must be stated explicitly. In the revised manuscript we will add a paragraph detailing the exact criteria: galaxies with M_* > 10^{10} M_⊙, sSFR < 10^{-10} yr^{-1} (corresponding to the observational quiescent threshold), and spatial membership within a comoving volume matching the observed proto-cluster scale (~10 cMpc). With these definitions the simulated overdensity and synchronized quenching epochs are recovered, and we will include the precise numbers and a comparison table. revision: yes
Circularity Check
No significant circularity; derivation is self-contained against independent data and simulation.
full rationale
The paper's claims rest on direct JWST spectroscopic confirmations of specific QGs, photometric-redshift number-density contrasts relative to field averages, SED-derived star-formation histories, and a side-by-side comparison to the independent public TNG300 simulation. No equations, definitions, or self-citations reduce the reported overdensities or simultaneous quenching epochs to fitted parameters defined by the same data or to prior author work by construction. The environmental-trigger interpretation is presented as a post-hoc reading of these external benchmarks rather than a tautological output.
Axiom & Free-Parameter Ledger
axioms (2)
- standard math Standard flat Lambda-CDM cosmology for converting redshifts to physical densities and distances
- domain assumption SED fitting templates and priors accurately recover formation and quenching epochs without major systematic bias from dust or metallicity assumptions
Reference graph
Works this paper leans on
-
[1]
Antwi-Danso, J., Papovich, C., Esdaile, J., et al. 2025, ApJ, 978, 90, doi: 10.3847/1538-4357/ad8b30
-
[2]
Araya-Araya, P., Cochrane, R. K., Hayward, C. C., et al. 2025, MNRAS, 542, 2808, doi: 10.1093/mnras/staf1389
-
[3]
Araya-Araya, P., Cochrane, R. K., Hayward, C. C., et al. 2024, ApJ, 977, 204, doi: 10.3847/1538-4357/ad90ae
-
[4]
Araya-Araya, P., Cochrane, R. K., Sodr´ e, Jr., L., et al. 2026, A&A, 707, A305, doi: 10.1051/0004-6361/202557426 Astropy Collaboration, Robitaille, T. P., Tollerud, E. J., et al. 2013, A&A, 558, A33, doi: 10.1051/0004-6361/201322068 Astropy Collaboration, Price-Whelan, A. M., Sip˝ ocz, B. M., et al. 2018, AJ, 156, 123, doi: 10.3847/1538-3881/aabc4f Astro...
-
[5]
M., Lim , S., D'Eugenio , F., et al
Baker, W. M., Lim, S., D’Eugenio, F., et al. 2025a, MNRAS, 539, 557, doi: 10.1093/mnras/staf475
-
[6]
Baker, W. M., Valentino, F., Lagos, C. d. P., et al. 2025b, A&A, 702, A270, doi: 10.1051/0004-6361/202555829
-
[7]
M., Ito , K., Valentino , F., et al
Baker, W. M., Ito, K., Valentino, F., et al. 2026, A&A, 706, A91, doi: 10.1051/0004-6361/202557207
-
[8]
Baldwin, J. A., Phillips, M. M., & Terlevich, R. 1981, PASP, 93, 5, doi: 10.1086/130766
-
[9]
L., et al., 1999, @doi [ ] 10.1086/308056 , 527, 54
Balogh, M. L., Morris, S. L., Yee, H. K. C., Carlberg, R. G., & Ellingson, E. 1999, ApJ, 527, 54, doi: 10.1086/308056
-
[10]
The Journal of Open Source Software , year = 2016, month = oct, volume =
Barbary, K. 2016, Journal of Open Source Software, 1, 58, doi: 10.21105/joss.00058
-
[11]
Belli, S., Park, M., Davies, R. L., et al. 2024, Nature, 630, 54, doi: 10.1038/s41586-024-07412-1
-
[12]
Bertin, E., & Arnouts, S. 1996, A&AS, 117, 393, doi: 10.1051/aas:1996164
-
[13]
A., Ramsay, G., Andronov, I., et al
Bower, R. G., Kodama, T., & Terlevich, A. 1998, MNRAS, 299, 1193, doi: 10.1046/j.1365-8711.1998.01868.x
-
[14]
Bower, R. G., Lucey, J. R., & Ellis, R. S. 1992, MNRAS, 254, 601, doi: 10.1093/mnras/254.4.601
-
[15]
Brinchmann, J., Charlot, S., White, S. D. M., et al. 2004, MNRAS, 351, 1151, doi: 10.1111/j.1365-2966.2004.07881.x
-
[16]
2025, ApJ, 981, 25, doi: 10.3847/1538-4357/adaeaf Calistro Rivera, G., Williams, W
Bugiani, L., Belli, S., Park, M., et al. 2025, ApJ, 981, 25, doi: 10.3847/1538-4357/adaeaf
-
[17]
Calzetti, D., Armus, L., Bohlin, R. C., et al. 2000, ApJ, 533, 682, doi: 10.1086/308692
work page internal anchor Pith review doi:10.1086/308692 2000
-
[18]
2017, MNRAS, 466, 798, doi: 10.1093/mnras/stw3020
Cappellari, M. 2017, MNRAS, 466, 798, doi: 10.1093/mnras/stw3020
work page internal anchor Pith review doi:10.1093/mnras/stw3020 2017
-
[19]
Cappellari, M. 2023, MNRAS, 526, 3273, doi: 10.1093/mnras/stad2597
-
[20]
Carnall, A. C., McLure, R. J., Dunlop, J. S., et al. 2023, Nature, 619, 716, doi: 10.1038/s41586-023-06158-6
-
[21]
Carnall, A. C., Cullen, F., McLure, R. J., et al. 2024, MNRAS, 534, 325, doi: 10.1093/mnras/stae2092
-
[22]
Casey, C. M., Kartaltepe, J. S., Drakos, N. E., et al. 2023, ApJ, 954, 31, doi: 10.3847/1538-4357/acc2bc
-
[23]
Chabrier, G. 2003, PASP, 115, 763, doi: 10.1086/376392
work page internal anchor Pith review doi:10.1086/376392 2003
-
[24]
2020, ApJ, 890, 7, doi: 10.3847/1538-4357/ab61fd
Chartab, N., Mobasher, B., Darvish, B., et al. 2020, ApJ, 890, 7, doi: 10.3847/1538-4357/ab61fd
-
[25]
A., Gebhardt, K., & Henriques, B
Chiang, Y.-K., Overzier, R. A., Gebhardt, K., & Henriques, B. 2017, ApJL, 844, L23, doi: 10.3847/2041-8213/aa7e7b
-
[26]
K., Lin , Y.-T., Ho , S., & Genel , S
Genel, S. 2024, ApJ, 965, 101, doi: 10.3847/1538-4357/ad2b6c
-
[27]
Conroy, C., & Gunn, J. E. 2010, ApJ, 712, 833, doi: 10.1088/0004-637X/712/2/833
-
[28]
Conroy, C., Gunn, J. E., & White, M. 2009, ApJ, 699, 486, doi: 10.1088/0004-637X/699/1/486
work page internal anchor Pith review doi:10.1088/0004-637x/699/1/486 2009
-
[29]
2010, MNRAS, 401, 1670, doi: 10.1111/j.1365-2966.2009.15794.x
Cooper, M. C., Gallazzi, A., Newman, J. A., & Yan, R. 2010, MNRAS, 402, 1942, doi: 10.1111/j.1365-2966.2009.16020.x
-
[30]
L., Belli, S., Park, M., et al
Davies, R. L., Belli, S., Park, M., et al. 2024, MNRAS, 528, 4976, doi: 10.1093/mnras/stae327 17 de Graaff, A., Setton, D. J., Brammer, G., et al. 2025a, Nature Astronomy, 9, 280, doi: 10.1038/s41550-024-02424-3 de Graaff, A., Brammer, G., Weibel, A., et al. 2025b, A&A, 697, A189, doi: 10.1051/0004-6361/202452186 De Lucia, G., Xie, L., Hirschmann, M., & F...
-
[31]
J., Groves, B., Kauffmann, G., & Heckman, T
Dekel, A., & Birnboim, Y. 2006, MNRAS, 368, 2, doi: 10.1111/j.1365-2966.2006.10145.x D’Eugenio, F., P´ erez-Gonz´ alez, P. G., Maiolino, R., et al. 2024, Nature Astronomy, 8, 1443, doi: 10.1038/s41550-024-02345-1
-
[32]
Donnan, C. T., McLure, R. J., Dunlop, J. S., et al. 2024, MNRAS, 533, 3222, doi: 10.1093/mnras/stae2037
-
[33]
Doroshkevich, A., Tucker, D. L., Allam, S., & Way, M. J. 2004, A&A, 418, 7, doi: 10.1051/0004-6361:20031780
-
[34]
1980, ApJ, 236, 351, doi: 10.1086/157753
Dressler, A. 1980, ApJ, 236, 351, doi: 10.1086/157753
-
[35]
Dubois, Y., Peirani, S., Pichon, C., et al. 2016, MNRAS, 463, 3948, doi: 10.1093/mnras/stw2265
-
[36]
Foreman-Mackey, D., Hogg, D. W., Lang, D., & Goodman, J. 2013, PASP, 125, 306, doi: 10.1086/670067
-
[37]
Forrest, B., Marsan, Z. C., Annunziatella, M., et al. 2020, ApJ, 903, 47, doi: 10.3847/1538-4357/abb819
-
[38]
Forrest, B., Lemaux, B. C., Shah, E. A., et al. 2024, ApJ, 971, 169, doi: 10.3847/1538-4357/ad5e78
-
[39]
2008, ApJS, 176, 1, doi: 10.1086/527321
Furusawa, H., Kosugi, G., Akiyama, M., et al. 2008, ApJS, 176, 1, doi: 10.1086/527321
-
[40]
Geller, M. J., & Huchra, J. P. 1989, Science, 246, 897, doi: 10.1126/science.246.4932.897
-
[41]
2017, Nature, 544, 71, doi: 10.1038/nature21680 G´ omez-Guijarro, C., Toft, S., Karim, A., et al
Glazebrook, K., Schreiber, C., Labb´ e, I., et al. 2017, Nature, 544, 71, doi: 10.1038/nature21680
-
[42]
Gobat, R., Daddi, E., Magdis, G., et al. 2018, Nature Astronomy, 2, 239, doi: 10.1038/s41550-017-0352-5 G´ omez-Guijarro, C., Toft, S., Karim, A., et al. 2018, ApJ, 856, 121, doi: 10.3847/1538-4357/aab206
-
[43]
Richard, I., Juri´ c, M., Schlegel, D., et al
Gott, J. Richard, I., Juri´ c, M., Schlegel, D., et al. 2005, ApJ, 624, 463, doi: 10.1086/428890
-
[44]
Hamadouche, M. L., Whitaker, K. E., Valentino, F., et al. 2026, arXiv e-prints, arXiv:2602.02485, doi: 10.48550/arXiv.2602.02485
-
[45]
Harris, C. R., Millman, K. J., van der Walt, S. J., et al. 2020, Nature, 585, 357, doi: 10.1038/s41586-020-2649-2
-
[46]
Hartley, A. I., Nelson, E. J., Suess, K. A., et al. 2023, MNRAS, 522, 3138, doi: 10.1093/mnras/stad1162
-
[47]
Heintz, K. E., Brammer, G. B., Watson, D., et al. 2025, A&A, 693, A60, doi: 10.1051/0004-6361/202450243
-
[48]
M., Sun, F., Woodrum, C., et al
Helton, J. M., Sun, F., Woodrum, C., et al. 2024, ApJ, 974, 41, doi: 10.3847/1538-4357/ad6867
-
[49]
2019, MNRAS, 487, 333, doi: 10.1093/mnras/stz1256
Hirschmann, M., Charlot, S., Feltre, A., et al. 2019, MNRAS, 487, 333, doi: 10.1093/mnras/stz1256
-
[50]
Hogg, D. W., Blanton, M. R., Brinchmann, J., et al. 2004, ApJL, 601, L29, doi: 10.1086/381749
-
[51]
Hopkins, P. F., Hernquist, L., Cox, T. J., et al. 2006, ApJS, 163, 1, doi: 10.1086/499298
-
[52]
Hopkins, P. F., Hernquist, L., Cox, T. J., & Kereˇ s, D. 2008, ApJS, 175, 356, doi: 10.1086/524362
work page internal anchor Pith review doi:10.1086/524362 2008
-
[53]
Hunter, J. D. 2007, Computing in Science and Engineering, 9, 90, doi: 10.1109/MCSE.2007.55
-
[54]
2022, ApJ, 929, 53, doi: 10.3847/1538-4357/ac5aaf
Ito, K., Tanaka, M., Miyaji, T., et al. 2022, ApJ, 929, 53, doi: 10.3847/1538-4357/ac5aaf
-
[55]
2023, ApJL, 945, L9, doi: 10.3847/2041-8213/acb49b
Ito, K., Tanaka, M., Valentino, F., et al. 2023, ApJL, 945, L9, doi: 10.3847/2041-8213/acb49b
-
[56]
Ito, K., Valentino, F., Brammer, G., et al. 2025a, arXiv e-prints, arXiv:2506.22642, doi: 10.48550/arXiv.2506.22642
-
[57]
Ito, K., Valentino, F., Farcy, M., et al. 2025b, A&A, 697, A111, doi: 10.1051/0004-6361/202453211
-
[58]
Jespersen, C. K., Carnall, A. C., & Lovell, C. C. 2025a, ApJL, 988, L19, doi: 10.3847/2041-8213/adeb7c
-
[59]
K., Cranmer , M., Melchior , P., et al
Jespersen, C. K., Cranmer, M., Melchior, P., et al. 2022, ApJ, 941, 7, doi: 10.3847/1538-4357/ac9b18
-
[60]
The Optical and Infrared Are Connected
Jespersen, C. K., Melchior, P., Spergel, D. N., et al. 2025b, arXiv e-prints, arXiv:2503.03816, doi: 10.48550/arXiv.2503.03816
work page internal anchor Pith review Pith/arXiv arXiv doi:10.48550/arxiv.2503.03816
-
[61]
Jin, S., Sillassen, N. B., Magdis, G. E., et al. 2024, A&A, 683, L4, doi: 10.1051/0004-6361/202348540
-
[62]
D., Leja, J., Conroy, C., & Speagle, J
Johnson, B. D., Leja, J., Conroy, C., & Speagle, J. S. 2021, ApJS, 254, 22, doi: 10.3847/1538-4365/abef67
work page internal anchor Pith review doi:10.3847/1538-4365/abef67 2021
-
[63]
Kakimoto, T., Tanaka, M., Onodera, M., et al. 2024, ApJ, 963, 49, doi: 10.3847/1538-4357/ad1ff1
-
[64]
Kauffmann, G., Heckman, T. M., Tremonti, C., et al. 2003, MNRAS, 346, 1055, doi: 10.1111/j.1365-2966.2003.07154.x
-
[65]
Kawinwanichakij, L., Glazebrook, K., Nanayakkara, T., et al. 2026, ApJ, 997, 29, doi: 10.3847/1538-4357/ae0a18 Kereˇ s, D., Katz, N., Weinberg, D. H., & Dav´ e, R. 2005, MNRAS, 363, 2, doi: 10.1111/j.1365-2966.2005.09451.x
-
[66]
J., Maier , C., Yabe , K., et al
Kewley, L. J., Maier, C., Yabe, K., et al. 2013, ApJL, 774, L10, doi: 10.1088/2041-8205/774/1/L10
-
[67]
Khostovan, A. A., Kartaltepe, J. S., Salvato, M., et al. 2026, ApJS, 282, 6, doi: 10.3847/1538-4365/ae1cb9
-
[68]
Kodama, T., Arimoto, N., Barger, A. J., & Arag’on-Salamanca, A. 1998, A&A, 334, 99, doi: 10.48550/arXiv.astro-ph/9802245
-
[69]
2018, ApJ, 867, 1, doi: 10.3847/1538-4357/aae3e8
Kubo, M., Tanaka, M., Yabe, K., et al. 2018, ApJ, 867, 1, doi: 10.3847/1538-4357/aae3e8
-
[70]
2024, MNRAS, 534, 3974, doi: 10.1093/mnras/stae2297
Valentino, F. 2024, MNRAS, 534, 3974, doi: 10.1093/mnras/stae2297 18Kakimoto et al
-
[71]
Lagos, C. d. P., Valentino, F., Wright, R. J., et al. 2025, MNRAS, 536, 2324, doi: 10.1093/mnras/stae2626
-
[72]
Lawrence, A., Warren, S. J., Almaini, O., et al. 2007, MNRAS, 379, 1599, doi: 10.1111/j.1365-2966.2007.12040.x
-
[73]
Speagle, J. S. 2019, ApJ, 876, 3, doi: 10.3847/1538-4357/ab133c
-
[74]
Byler, N. 2017, ApJ, 837, 170, doi: 10.3847/1538-4357/aa5ffe
-
[75]
C., Cucciati, O., Le F` evre, O., et al
Lemaux, B. C., Cucciati, O., Le F` evre, O., et al. 2022, A&A, 662, A33, doi: 10.1051/0004-6361/202039346
-
[76]
Lovell, C. C., Thomas, P. A., & Wilkins, S. M. 2018, MNRAS, 474, 4612, doi: 10.1093/mnras/stx3090
-
[77]
1995, ApJ, 441, 18, doi: 10.1086/175332 Ma´ ız Apell´ aniz, J
Madau, P. 1995, ApJ, 441, 18, doi: 10.1086/175332
-
[78]
Man, A. W. S., Zabl, J., Brammer, G. B., et al. 2021, ApJ, 919, 20, doi: 10.3847/1538-4357/ac0ae3
-
[79]
2022, ApJ, 926, 37, doi: 10.3847/1538-4357/ac2b9f
McConachie, I., Wilson, G., Forrest, B., et al. 2022, ApJ, 926, 37, doi: 10.3847/1538-4357/ac2b9f
-
[80]
McConachie, I., de Graaff, A., Maseda, M. V., et al. 2025, arXiv e-prints, arXiv:2510.25024, doi: 10.48550/arXiv.2510.25024
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