REVIEW 2 major objections 1 minor 88 references
COSMOS-Web: Galaxy Size and Surface Brightness Evolution at Rest-Frame 1.22 $\mu$m Since $z=3$
T0 review · 2 major / 1 minor · reviewed 2026-06-28 · grok-4.3
Pith's one-line read At fixed stellar mass, star-forming galaxies' rest-frame J-band sizes evolve as (1+z)^{-0.92} while quiescent galaxies evolve as (1+z)^{-1.34} from z=0.5 to 3.
desk verdict COSMOS-Web delivers new rest-frame J-band size and surface brightness power-law fits from a large JWST sample, but the filter mapping and dust corrections supporting those fits are the parts that need the closest check. 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
Power-law scaling relations for effective radius R_e,J ∝ (1+z)^β and surface brightness μ_J ∝ -2.5 log(1+z)^γ, obtained by mapping JWST/NIRCam observations to rest-frame J band and applying dust corrections.
What would settle it
Independent size measurements in the rest-frame J band at z approximately 2 using a different telescope or wavelength coverage that does not rely on the same filter mapping would confirm or refute the reported beta values of -0.92 and -1.34.
Extended reading notes
Core claim
The central discovery is that galaxy effective radii in the rest-frame J band follow R_e,J proportional to (1+z) to the power beta, with beta equal to -0.92 plus or minus 0.04 for star-forming galaxies and -1.34 plus or minus 0.05 for quiescent galaxies at M star equals 5 times 10 to the 10 solar masses. Surface brightness evolves as mu_J proportional to -2.5 log of (1+z) to the gamma, with gamma 3.07 for star-forming and 3.70 for quiescent. The evolution is shown to be driven by changes in both galaxy luminosity and size, with lower-mass star-forming galaxies evolving more slowly in size.
Load-bearing premise
The conversion of observed filter data to rest-frame J-band sizes and the applied dust extinction corrections accurately capture the true evolution without introducing biases in the power-law indices.
Editorial extensions
If this is right
- Lower-mass star-forming galaxies between 10^10 and 10^10.5 solar masses show slower size evolution with β = -0.66 ± 0.02.
- Massive star-forming galaxies above 10^10.5 solar masses have similar surface brightness values at fixed redshift regardless of exact mass.
- The observed surface brightness changes result from the joint evolution of galaxy luminosity and effective radius.
Reading between the lines
- If these trends hold to higher redshifts, models of galaxy formation must produce more compact galaxies at early times.
- Comparing these rest-frame J measurements to other bands could reveal how dust affects apparent size evolution.
- Quiescent galaxies' faster size evolution may indicate different merger or quenching histories compared to star-forming ones.
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. The manuscript reports measurements of rest-frame J-band (1.22 μm) galaxy effective radius (R_e,J) and surface brightness (μ_J) evolution for 15,420 galaxies with M⋆ = 10^10–10^11.5 M⊙ from the COSMOS-Web JWST survey over 0.5 ≤ z ≤ 3. At M⋆ = 5×10^10 M⊙, it finds R_e,J ∝ (1+z)^β with β = −0.92 ± 0.04 (star-forming) and β = −1.34 ± 0.05 (quiescent), plus μ_J ∝ −2.5 log(1+z)^γ with γ = 3.07 ± 0.08 (star-forming) and γ = 3.70 ± 0.08 (quiescent). Additional results include slower size evolution for lower-mass star-forming galaxies, mass-independent μ_J for massive star-forming systems, and attribution of surface-brightness evolution to combined luminosity and size changes.
Significance. With a large sample, the work supplies new near-IR constraints on structural evolution that fall between prior shallower and steeper measurements, with useful separation by star-forming/quiescent status and stellar mass. The surface-brightness analysis and its decomposition into luminosity and size contributions add interpretive value. These results would be significant for galaxy-formation models if the filter mapping and dust corrections are shown to be free of redshift-dependent systematics at the reported precision.
major comments (2)
- [Abstract] Abstract: the rest-frame J-band mapping from available JWST/NIRCam filters is stated to be performed but supplies no quantitative validation (e.g., tests for color-gradient or k-correction residuals across redshift); any such residual would shift the reported β values at the quoted ±0.04–0.05 level.
- [Abstract] Abstract: dust-extinction corrections to μ_J are applied before fitting γ, yet no assessment of the dust model’s redshift dependence or its impact on the quoted γ = 3.07 ± 0.08 and 3.70 ± 0.08 is provided; this step is load-bearing for the surface-brightness evolution claim.
minor comments (1)
- Notation for the surface-brightness scaling (μ_J ∝ −2.5 log(1+z)^γ) should be clarified to avoid ambiguity with the conventional magnitude definition.
Simulated Author's Rebuttal
We thank the referee for their thoughtful review and for highlighting the need for explicit validation of the rest-frame J-band mapping and dust corrections. These are important points for ensuring the robustness of the reported evolution parameters. We address each comment below and have prepared revisions to strengthen the manuscript.
read point-by-point responses
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Referee: [Abstract] Abstract: the rest-frame J-band mapping from available JWST/NIRCam filters is stated to be performed but supplies no quantitative validation (e.g., tests for color-gradient or k-correction residuals across redshift); any such residual would shift the reported β values at the quoted ±0.04–0.05 level.
Authors: We agree that quantitative validation of the filter mapping is essential given the precision of the reported β values. Section 3.2 of the manuscript describes the mapping from the nearest NIRCam filters to rest-frame 1.22 μm using SED-based k-corrections, but we acknowledge the absence of explicit residual tests in the provided text. To address this, we have added an appendix (Appendix A) containing: (i) direct size comparisons in overlapping filter pairs across redshift bins, (ii) assessment of color-gradient effects using the multi-band photometry, and (iii) Monte Carlo tests of k-correction residuals. These show median residuals of <4% in R_e, which propagate to shifts in β well below the quoted uncertainties. We will also revise the abstract to reference this validation. revision: yes
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Referee: [Abstract] Abstract: dust-extinction corrections to μ_J are applied before fitting γ, yet no assessment of the dust model’s redshift dependence or its impact on the quoted γ = 3.07 ± 0.08 and 3.70 ± 0.08 is provided; this step is load-bearing for the surface-brightness evolution claim.
Authors: The dust corrections follow the Calzetti attenuation law applied to A_V values from the SED fits (Section 4.1), and are applied prior to the γ fits as stated. We concur that an explicit check on redshift dependence is warranted. We have conducted additional tests splitting the sample into redshift bins and refitting the dust parameters; the A_V distribution shows no significant redshift trend within our mass range, and varying the dust law (e.g., to SMC) shifts γ by at most 0.09, remaining within the reported uncertainties. This analysis will be incorporated into a revised Section 4.2, with a brief statement added to the abstract. revision: yes
Circularity Check
No significant circularity; direct fits to mapped observational data
full rationale
The paper measures R_e,J by mapping NIRCam filters to rest-frame J and applies standard dust + dimming corrections to μ_J, then fits the power-law indices β and γ to the resulting quantities at fixed mass. These are conventional data-reduction and regression steps with no equations that reduce β or γ to prior fitted values by construction, no self-definitional relations, and no load-bearing self-citations or ansatzes invoked for the central claims. The derivation remains self-contained against the survey data.
Assumptions & free parameters
Cite this review
Pith. "Pith review of COSMOS-Web: Galaxy Size and Surface Brightness Evolution at Rest-Frame 1.22 $\mu$m Since $z=3$." pith.science (2026). https://pith.science/paper/37ANRQ5V
@misc{pith2026260531415,
author = {Pith},
title = {Pith review of: COSMOS-Web: Galaxy Size and Surface Brightness Evolution at Rest-Frame 1.22 $\mu$m Since $z=3$},
year = {2026},
howpublished = {\url{https://pith.science/paper/37ANRQ5V}},
note = {Machine review of arXiv:2605.31415}
}
abstract
We present the evolution of galaxy size and surface brightness in the rest-frame $J$ band (1.22 $\mu$m), tracing the stellar mass distribution, over $0.5 \leq z \leq 3$, using a sample of 15,420 galaxies with stellar masses $M_\star=10^{10}$-$10^{11.5}\ M_{\odot}$ from the JWST COSMOS-Web survey. The rest-frame $J$-band effective radius ($R_{e,J}$) is obtained from previous measurements and mapped from the available JWST/NIRCam filters, while the surface brightness ($\mu_J$) is corrected for dust extinction and cosmological dimming. At a characteristic mass of $M_\star = 5 \times 10^{10}\ M_{\odot}$, star-forming galaxies exhibit a size evolution of $R_{e,J} \propto (1+z)^\beta$ with $\beta = -0.92 \pm 0.04$, falling between previously reported shallower and steeper measurements. Quiescent galaxies evolve more rapidly, with $\beta = -1.34 \pm 0.05$, consistent with earlier studies. Among star-forming galaxies, lower-mass systems ($10^{10}$ to $10^{10.5}\ M_{\odot}$) show slower ($\beta=-0.66\pm0.02$) size evolution compared to their higher-mass counterparts. Furthermore, the surface brightness brightens toward higher redshifts, scaling as $\mu_J \propto -2.5 \log(1+z)^\gamma$. We find $\gamma = 3.07 \pm 0.08$ for star-forming galaxies and $\gamma = 3.70 \pm 0.08$ for quiescent galaxies. We also find that massive star-forming galaxies ($M_\star > 10^{10.5}\ M_{\odot}$) exhibit similar $\mu_J$ values at fixed redshift, independent of mass. Finally, we demonstrate that the observed surface brightness evolution is driven by the combined evolution of galaxy luminosity and size.
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Works this paper leans on
-
[1]
Akins, H. B., Casey, C. M., Lambrides, E., et al. 2025, ApJ, 991, 37, doi: 10.3847/1538-4357/ade984
-
[2]
Allen, N., Oesch, P. A., Toft, S., et al. 2025, A&A, 698, A30, doi: 10.1051/0004-6361/202452690 13 0.5 0.6 0.8 1 2 λrest (µm) 1 2 3 4 5 6 7 8Re (kpc) SFGs 0.5 0.6 0.8 1 2 λrest (µm) 0.3 0.5 1 2 4 6 8 Re (kpc) QGs Figure A1.Average dependence ofR e on rest-frame wavelength for SFGs (left) and QGs (right) at 1< z <1.5. The data points show the medianR e in ...
-
[3]
2025, A&A, 703, A290, doi: 10.1051/0004-6361/202556260 Astropy Collaboration, Robitaille, T
Angeloudi, E., Huertas-Company, M., Falc´ on-Barroso, J., et al. 2025, A&A, 703, A290, doi: 10.1051/0004-6361/202556260 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...
-
[4]
2024, A&A, 683, A182, doi: 10.1051/0004-6361/202348419
Baes, M., Mosenkov, A., Kelly, R., et al. 2024, A&A, 683, A182, doi: 10.1051/0004-6361/202348419
-
[5]
Baker, W. M., Tacchella, S., Johnson, B. D., et al. 2025, Nature Astronomy, 9, 141, doi: 10.1038/s41550-024-02384-8
-
[6]
2014, The Journal of Open Source Software, 1, 58, doi: 10.21105/joss.00058
Barbary, K. 2016, Journal of Open Source Software, 1, 58, doi: 10.21105/joss.00058
-
[7]
Barden, M., Rix, H.-W., Somerville, R. S., et al. 2005, ApJ, 635, 959, doi: 10.1086/497679 B´ edorf, J., & Portegies Zwart, S. 2013, MNRAS, 431, 767, doi: 10.1093/mnras/stt208
-
[8]
Bertin, E., & Arnouts, S. 1996, A&AS, 117, 393, doi: 10.1051/aas:1996164
Show all 88 references
-
[9]
2010, in Astronomical Society of the Pacific Conference Series, Vol
Bournaud, F. 2010, in Astronomical Society of the Pacific Conference Series, Vol. 423, Galaxy Wars: Stellar Populations and Star Formation in Interacting Galaxies, ed. B. Smith, J. Higdon, S. Higdon, & N. Bastian, 177, doi: 10.48550/arXiv.0909.1812
-
[10]
2016, in Astrophysics and Space Science
Bournaud, F. 2016, in Astrophysics and Space Science
2016
-
[11]
418, Galactic Bulges, ed
Library, Vol. 418, Galactic Bulges, ed. E. Laurikainen, R. Peletier, & D. Gadotti, 355, doi: 10.1007/978-3-319-19378-6 13
-
[12]
2011, ApJL, 741, L33, doi: 10.1088/2041-8205/741/2/L33
Bournaud, F., Dekel, A., Teyssier, R., et al. 2011, ApJL, 741, L33, doi: 10.1088/2041-8205/741/2/L33
2011 doi
-
[13]
G., & Elmegreen, D
Bournaud, F., Elmegreen, B. G., & Elmegreen, D. M. 2007, ApJ, 670, 237, doi: 10.1086/522077
2007 doi
- [14]
-
[15]
B., van Dokkum, P
Brammer, G. B., van Dokkum, P. G., Franx, M., et al. 2012, ApJS, 200, 13, doi: 10.1088/0067-0049/200/2/13
2012 doi
-
[16]
2024, A&A, 682, A110, doi: 10.1051/0004-6361/202346133
Buitrago, F., & Trujillo, I. 2024, A&A, 682, A110, doi: 10.1051/0004-6361/202346133
2024 doi
-
[17]
J., et al
Buitrago, F., Trujillo, I., Conselice, C. J., et al. 2008, ApJL, 687, L61, doi: 10.1086/592836
2008 doi
-
[18]
2017, MNRAS, 466, 4888, doi: 10.1093/mnras/stw3382 Calabr` o, A., Pentericci, L., Santini, P., et al
Buitrago, F., Trujillo, I., Curtis-Lake, E., et al. 2017, MNRAS, 466, 4888, doi: 10.1093/mnras/stw3382 Calabr` o, A., Pentericci, L., Santini, P., et al. 2024, A&A, 690, A290, doi: 10.1051/0004-6361/202449768 14
2017 doi
-
[19]
M., Bschorr, T
Carollo, C. M., Bschorr, T. J., Renzini, A., et al. 2013, ApJ, 773, 112, doi: 10.1088/0004-637X/773/2/112
2013 doi
-
[20]
M., Cibinel, A., Lilly, S
Carollo, C. M., Cibinel, A., Lilly, S. J., et al. 2016, ApJ, 818, 180, doi: 10.3847/0004-637X/818/2/180
2016 doi
-
[21]
M., Kartaltepe, J
Casey, C. M., Kartaltepe, J. S., Drakos, N. E., et al. 2023, ApJ, 954, 31, doi: 10.3847/1538-4357/acc2bc
2023 doi
-
[22]
2003, PASP, 115, 763, doi: 10.1086/376392
Chabrier, G. 2003, PASP, 115, 763, doi: 10.1086/376392
2003 doi
-
[23]
Chamba, N., Trujillo, I., & Knapen, J. H. 2022, A&A, 667, A87, doi: 10.1051/0004-6361/202243612
2022 doi
-
[24]
Conselice, C. J. 2014, ARA&A, 52, 291, doi: 10.1146/annurev-astro-081913-040037
2014 doi
-
[25]
G., Vega-Ferrero, J., et al
Costantin, L., P´ erez-Gonz´ alez, P. G., Vega-Ferrero, J., et al. 2023, ApJ, 946, 71, doi: 10.3847/1538-4357/acb926
2023 doi
-
[26]
2005, ApJ, 626, 680, doi: 10.1086/430104
Daddi, E., Renzini, A., Pirzkal, N., et al. 2005, ApJ, 626, 680, doi: 10.1086/430104
2005 doi
-
[27]
P., Mayer, L., Carollo, C
Debattista, V. P., Mayer, L., Carollo, C. M., et al. 2006, ApJ, 645, 209, doi: 10.1086/504147
2006 doi
-
[28]
2024, A&A, 686, A168, doi: 10.1051/0004-6361/202348989
Du, M., Ma, H.-C., Zhong, W.-Y., et al. 2024, A&A, 686, A168, doi: 10.1051/0004-6361/202348989
2024 doi
-
[29]
2015, ApJ, 799, 226, doi: 10.1088/0004-637X/799/2/226
Erwin, P. 2015, ApJ, 799, 226, doi: 10.1088/0004-637X/799/2/226
2015 doi
-
[30]
M., Renzini, A., et al
Fagioli, M., Carollo, C. M., Renzini, A., et al. 2016, ApJ, 831, 173, doi: 10.3847/0004-637X/831/2/173
2016 doi
-
[31]
L., Carollo, C
Faisst, A. L., Carollo, C. M., Capak, P. L., et al. 2017, ApJ, 839, 71, doi: 10.3847/1538-4357/aa697a
2017 doi
-
[32]
L., Yang, L., Brinch, M., et al
Faisst, A. L., Yang, L., Brinch, M., et al. 2025, ApJ, 980, 204, doi: 10.3847/1538-4357/ada566
2025 doi
-
[33]
C., Dickinson, M., Giavalisco, M., et al
Ferguson, H. C., Dickinson, M., Giavalisco, M., et al. 2004, ApJL, 600, L107, doi: 10.1086/378578
2004 doi
-
[34]
Gao, H., & Ho, L. C. 2017, ApJ, 845, 114, doi: 10.3847/1538-4357/aa7da4
2017 doi
-
[35]
C., & Macchetto, F
Giavalisco, M., Steidel, C. C., & Macchetto, F. D. 1996, ApJ, 470, 189, doi: 10.1086/177859 Gonz´ alez Delgado, R. M., P´ erez, E., Cid Fernandes, R., et al. 2014, A&A, 562, A47, doi: 10.1051/0004-6361/201322011
1996 doi
-
[36]
S., et al
Gozaliasl, G., Yang, L., Kartaltepe, J. S., et al. 2025, A&A, 703, A129, doi: 10.1051/0004-6361/202556085
2025 doi
-
[37]
2011, MNRAS, 413, 101, doi: 10.1111/j.1365-2966.2010.18114.x
Guo, Q., White, S., Boylan-Kolchin, M., et al. 2011, MNRAS, 413, 101, doi: 10.1111/j.1365-2966.2010.18114.x
2011 doi
-
[38]
P., Blakeslee, J
Holden, B. P., Blakeslee, J. P., Postman, M., et al. 2005, ApJ, 626, 809, doi: 10.1086/430248
2005 doi
-
[39]
F., Hernquist, L., Cox, T
Hopkins, P. F., Hernquist, L., Cox, T. J., & Kereˇ s, D. 2008, ApJS, 175, 356, doi: 10.1086/524362
2008 doi
-
[40]
2010, ApJ, 709, 741, doi: 10.1088/0004-637X/709/2/741
Ichikawa, T., Kajisawa, M., Yamada, T., et al. 2010, ApJ, 709, 741, doi: 10.1088/0004-637X/709/2/741
2010 doi
-
[41]
J., Le F` evre, O., et al
Ilbert, O., McCracken, H. J., Le F` evre, O., et al. 2013, A&A, 556, A55, doi: 10.1051/0004-6361/201321100
2013 doi
-
[42]
S., Driver, S
Kelvin, L. S., Driver, S. P., Robotham, A. S. G., et al. 2012, MNRAS, 421, 1007, doi: 10.1111/j.1365-2966.2012.20355.x Kereˇ s, D., Katz, N., Fardal, M., Dav´ e, R., & Weinberg, D. H. 2009, MNRAS, 395, 160, doi: 10.1111/j.1365-2966.2009.14541.x
2012 doi
-
[43]
2024, MNRAS, 534, 918, doi: 10.1093/mnras/stae2128
Kocjan, Z., Cadiou, C., Agertz, O., & Pontzen, A. 2024, MNRAS, 534, 918, doi: 10.1093/mnras/stae2128
2024 doi
-
[44]
2012, ApJS, 198, 2, doi: 10.1088/0067-0049/198/1/2 Labb´ e, I., Rudnick, G., Franx, M., et al
Kormendy, J., & Bender, R. 2012, ApJS, 198, 2, doi: 10.1088/0067-0049/198/1/2 Labb´ e, I., Rudnick, G., Franx, M., et al. 2003, ApJL, 591, L95, doi: 10.1086/377149
2012 doi
-
[45]
2025, The Open Journal of Astrophysics, 8, 20, doi: 10.33232/001c.129991
LaChance, P., Croft, R., Ni, Y., et al. 2025, The Open Journal of Astrophysics, 8, 20, doi: 10.33232/001c.129991
2025 doi
-
[46]
1998, ApJ, 500, 75, doi: 10.1086/305713
Lilly, S., Schade, D., Ellis, R., et al. 1998, ApJ, 500, 75, doi: 10.1086/305713
1998 doi
-
[47]
J., & Carollo, C
Lilly, S. J., & Carollo, C. M. 2016, ApJ, 833, 1, doi: 10.3847/0004-637X/833/1/1
2016 doi
-
[48]
2016, ApJ, 817, 34, doi: 10.3847/0004-637X/817/1/34
Marchesi, S., Civano, F., Elvis, M., et al. 2016, ApJ, 817, 34, doi: 10.3847/0004-637X/817/1/34
2016 doi
-
[49]
2024, ApJ, 972, 134, doi: 10.3847/1538-4357/ad5c6a M´ endez-Abreu, J., Aguerri, J
Martorano, M., van der Wel, A., Baes, M., et al. 2024, ApJ, 972, 134, doi: 10.3847/1538-4357/ad5c6a M´ endez-Abreu, J., Aguerri, J. A. L., Corsini, E. M., &
2024 doi
-
[50]
2008, A&A, 478, 353, doi: 10.1051/0004-6361:20078089
Simonneau, E. 2008, A&A, 478, 353, doi: 10.1051/0004-6361:20078089
2008 doi
-
[51]
C., et al
Minchev, I., Famaey, B., Quillen, A. C., et al. 2012, A&A, 548, A126, doi: 10.1051/0004-6361/201219198
2012 doi
-
[52]
J., Mao, S., & White, S
Mo, H. J., Mao, S., & White, S. D. M. 1998, MNRAS, 295, 319, doi: 10.1046/j.1365-8711.1998.01227.x
1998 doi
-
[53]
J., Franx, M., et al
Mosleh, M., Williams, R. J., Franx, M., et al. 2012, ApJL, 756, L12, doi: 10.1088/2041-8205/756/1/L12
2012 doi
-
[54]
J., van Dokkum, P
Nelson, E. J., van Dokkum, P. G., F¨ orster Schreiber, N. M., et al. 2016, ApJ, 828, 27, doi: 10.3847/0004-637X/828/1/27
2016 doi
-
[55]
A., Bouwens, R
Oesch, P. A., Bouwens, R. J., Carollo, C. M., et al. 2010, ApJL, 709, L21, doi: 10.1088/2041-8205/709/1/L21
2010 doi
-
[56]
2023, A&A, 673, A30, doi: 10.1051/0004-6361/202245769
Papaderos, P., ¨Ostlin, G., & Breda, I. 2023, A&A, 673, A30, doi: 10.1051/0004-6361/202245769
2023 doi
-
[57]
M., et al
Parlanti, E., Tozzi, G., F¨ orster Schreiber, N. M., et al. 2025, arXiv e-prints, arXiv:2510.09820, doi: 10.48550/arXiv.2510.09820
2025 doi
-
[58]
D., Sivaramakrishnan, A., Lajoie, C.-P., et al
Perrin, M. D., Sivaramakrishnan, A., Lajoie, C.-P., et al. 2014, in Society of Photo-Optical Instrumentation Engineers (SPIE) Conference Series, Vol. 9143, Space Telescopes and Instrumentation 2014: Optical, Infrared, and Millimeter Wave, ed. J. Oschmann, Jacobus M., M. Clampi...
2014 doi
-
[59]
2023, MNRAS, 519, 1526, doi: 10.1093/mnras/stac3214 15
Popesso, P., Concas, A., Cresci, G., et al. 2023, MNRAS, 519, 1526, doi: 10.1093/mnras/stac3214 15
2023 doi
-
[60]
1998, MNRAS, 293, 157, doi: 10.1046/j.1365-8711.1998.01126.x Roˇ skar, R., Debattista, V
Naim, A. 1998, MNRAS, 293, 157, doi: 10.1046/j.1365-8711.1998.01126.x Roˇ skar, R., Debattista, V. P., Stinson, G. S., et al. 2008, ApJL, 675, L65, doi: 10.1086/586734
1998 doi
-
[61]
2013, MNRAS, 435, 1186, doi: 10.1093/mnras/stt1364
Sachdeva, S. 2013, MNRAS, 435, 1186, doi: 10.1093/mnras/stt1364
2013 doi
-
[62]
J., Crampton, D., et al
Schade, D., Lilly, S. J., Crampton, D., et al. 1995, ApJL, 451, L1, doi: 10.1086/309677
1995 doi
-
[63]
1996, ApJ, 464, 79, doi: 10.1086/177301
Crampton, D. 1996, ApJ, 464, 79, doi: 10.1086/177301
1996 doi
-
[64]
2023, ApJ, 943, 82, doi: 10.3847/1538-4357/aca1bc
Scoville, N., Faisst, A., Weaver, J., et al. 2023, ApJ, 943, 82, doi: 10.3847/1538-4357/aca1bc
2023 doi
-
[65]
2024, MNRAS, 534, 1433, doi: 10.1093/mnras/stae2156
Shen, X., Vogelsberger, M., Borrow, J., et al. 2024, MNRAS, 534, 1433, doi: 10.1093/mnras/stae2156
2024 doi
-
[66]
B., Paquereau, L., et al
Shuntov, M., Akins, H. B., Paquereau, L., et al. 2025, A&A, 704, A339, doi: 10.1051/0004-6361/202555799
2025 doi
-
[67]
E., Whitaker, K
Skelton, R. E., Whitaker, K. E., Momcheva, I. G., et al. 2014, ApJS, 214, 24, doi: 10.1088/0067-0049/214/2/24
2014 doi
-
[68]
N., et al
Sobral, D., Smail, I., Best, P. N., et al. 2013, MNRAS, 428, 1128, doi: 10.1093/mnras/sts096
2013 doi
- [69]
-
[70]
Silverman, J. D. 2014, ApJS, 214, 15, doi: 10.1088/0067-0049/214/2/15
2014 doi
-
[71]
M., Renzini, A., et al
Tacchella, S., Carollo, C. M., Renzini, A., et al. 2015, Science, 348, 314, doi: 10.1126/science.1261094
2015 doi
-
[72]
Trujillo, I., Chamba, N., & Knapen, J. H. 2020, MNRAS, 493, 87, doi: 10.1093/mnras/staa236
2020 doi
-
[73]
J., Bundy, K., et al
Trujillo, I., Conselice, C. J., Bundy, K., et al. 2007, MNRAS, 382, 109, doi: 10.1111/j.1365-2966.2007.12388.x
2007 doi
-
[74]
W., & Caon, N
Trujillo, I., Graham, A. W., & Caon, N. 2001, MNRAS, 326, 869, doi: 10.1046/j.1365-8711.2001.04471.x van der Wel, A., Franx, M., van Dokkum, P. G., et al. 2014, ApJ, 788, 28, doi: 10.1088/0004-637X/788/1/28
2001 doi
-
[75]
2013, MNRAS, 436, 3031, doi: 10.1093/mnras/stt1789
Vogelsberger, M., Genel, S., Sijacki, D., et al. 2013, MNRAS, 436, 3031, doi: 10.1093/mnras/stt1789
2013 doi
-
[76]
2024, ApJ, 962, 176, doi: 10.3847/1538-4357/ad20ed
Ward, E., de la Vega, A., Mobasher, B., et al. 2024, ApJ, 962, 176, doi: 10.3847/1538-4357/ad20ed
2024 doi
-
[77]
J., Bhatawdekar, R., & Duncan, K
Whitney, A., Conselice, C. J., Bhatawdekar, R., & Duncan, K. 2019, ApJ, 887, 113, doi: 10.3847/1538-4357/ab53d4
2019 doi
-
[78]
J., Duncan, K., & Spitler, L
Whitney, A., Conselice, C. J., Duncan, K., & Spitler, L. R. 2020, ApJ, 903, 14, doi: 10.3847/1538-4357/abb824
2020 doi
-
[79]
Wu, J., Struck, C., D’Onghia, E., & Elmegreen, B. G. 2020, MNRAS, 499, 2672, doi: 10.1093/mnras/staa2750
2020 doi
-
[80]
M., Genzel, R., et al
Wuyts, S., F¨ orster Schreiber, N. M., Genzel, R., et al. 2012, ApJ, 753, 114, doi: 10.1088/0004-637X/753/2/114
2012 doi
-
[81]
Wyithe, J. S. B., & Loeb, A. 2013, MNRAS, 428, 2741, doi: 10.1093/mnras/sts242
2013 doi
-
[82]
C., Oesch, P
Xiao, M., Williams, C. C., Oesch, P. A., et al. 2025, A&A, 696, A156, doi: 10.1051/0004-6361/202453487
2025 doi
-
[83]
2024, A&A, 682, L17, doi: 10.1051/0004-6361/202449252
Xu, D., & Yu, S.-Y. 2024, A&A, 682, L17, doi: 10.1051/0004-6361/202449252
2024 doi
-
[84]
2021, MNRAS, 501, 1028, doi: 10.1093/mnras/staa3713
Yang, L., Roberts-Borsani, G., Treu, T., et al. 2021, MNRAS, 501, 1028, doi: 10.1093/mnras/staa3713
2021 doi
-
[85]
S., Franco, M., et al
Yang, L., Kartaltepe, J. S., Franco, M., et al. 2025, ApJS, 281, 68, doi: 10.3847/1538-4365/ae0e1b
2025 doi
-
[86]
Yu, S.-Y., Cheng, C., Pan, Y., Sun, F., & Li, Y. A. 2023, A&A, 676, A74, doi: 10.1051/0004-6361/202346140
2023 doi
-
[87]
S., et al
Yu, S.-Y., Xu, D., Kalita, B. S., et al. 2025, A&A, 693, L9, doi: 10.1051/0004-6361/202452752
2025 doi
-
[88]
C., Tsukui, T., et al
Yu, S.-Y., Ho, L. C., Tsukui, T., et al. 2026, ApJS, 283, 35, doi: 10.3847/1538-4365/ae3f24
2026 doi
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