REVIEW 4 major objections 6 minor 2 cited by
JWST PRIMER: strong evidence for the environmental quenching of low-mass galaxies out to $\mathbf{\textit{z} \simeq 2}$
T0 review · 4 major / 6 minor · reviewed 2026-08-11 · deepseek-v4-flash
Pith's one-line read Deep JWST imaging shows that low-mass quiescent galaxies were shut down by their environment, not by their own mass, as early as redshift 2.
desk verdict Solid JWST-based study with a good multi-observable case for two quenching pathways; the 'strong evidence' headline oversells the high-redshift size-mass slopes, which are partly fixed rather than measured. 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 load-bearing object is the size-mass relation of quiescent galaxies split at the pivot mass $\log_{10}(M_\star/M_\odot) \simeq 10$, supported by the double Schechter fit to the quiescent stellar-mass function and by non-parametric morphology. The paper fits single power laws separately to low-mass and high-mass quiescent sub-samples, a smoothly broken power law to the full quiescent sample, and a power-law size-redshift relation $R_e \propto (1+z)^{-\beta}$ to median sizes in three mass ranges. The decisive comparison is between the low-mass quiescent slopes and evolutions and those of star-forming galaxies: equal slopes and equal redshift evolution imply that the quiescent dwarfs are drawn from the same parent population and were quenched without structural transformation. The F356W filter provides rest-frame near-infrared sizes, which avoids the bias from younger, bluer central regions and gives mass-weighted structure.
What would settle it
Measure the low-mass quiescent size-mass slope at $1.75<z<2.25$ without fixing it, using a sample large enough to fit it freely; a slope significantly steeper than the star-forming value near $\alpha=0.17$ would reject the central continuity claim. A second check is environmental: if low-mass quiescent galaxies at $z \sim 2$ are not preferentially found in overdense regions, the ram-pressure interpretation would lose its support.
Extended reading notes
Core claim
Starting from a mass-complete sample of roughly 1,400 quiescent and 25,000 star-forming galaxies in the JWST PRIMER fields, the paper measures rest-frame near-infrared sizes with Galfit and morphological statistics (S\'ersic index, Gini, $M_{20}$). It finds that quiescent galaxies split into two populations at $\log_{10}(M_\star/M_\odot) \simeq 10$ in every redshift bin from $z=0.25$ to $z=2.25$. Low-mass quiescent galaxies follow a size-mass slope of $\alpha \simeq 0.17$-$0.18$, indistinguishable from the star-forming slope ($\alpha \simeq 0.17$-$0.21$) at fixed lower normalization, and their median size evolves as $R_e \propto (1+z)^{-0.24\pm0.08}$, essentially the same as star-forming galaxies ($R_e \propto (1+z)^{-0.25\pm0.03}$). High-mass quiescent galaxies have steeper slopes ($\alpha \simeq 0.55$-$0.69$) and much faster size growth ($R_e \propto (1+z)^{-1.14\pm0.02}$). Morphologically, low-mass quiescent galaxies occupy the spiral/irregular region of the Gini-$M_{20}$ plane with lower S\'ersic indices, while high-mass ones sit in the elliptical/S0 region. Combined with the double Schechter shape of the quiescent stellar-mass function, the paper concludes that two quenching channels are operating: environmental quenching (e.g. ram-pressure stripping) for the low-mass population and internal mass quenching (e.g. AGN feedback) followed by minor mergers for the high-mass population.
Load-bearing premise
The load-bearing assumption is that the low-mass quiescent size-mass slope at $1.25<z<2.25$ equals its low-redshift value: in the two highest redshift bins the paper fixes $\alpha=0.17$ rather than measuring it, so the claim that low-mass quiescent galaxies track the star-forming size-mass relation at $z>1.25$ collapses if the true slope is steeper.
Editorial extensions
If this is right
- If the split is real, galaxy formation models must include an environmental quenching channel that operates below $10^{10}\,M_\odot$ by $z \sim 2$, not just at low redshift.
- Because low-mass quiescent and star-forming galaxies evolve in size at almost the same rate, the low-mass quiescent population should be a nearly undisturbed fossil record of dwarf star-forming disks at cosmic noon.
- The steep size growth of high-mass quiescent galaxies (about 0.34 dex from $z \sim 2$ to $z \sim 0.5$) supports dry minor mergers as the dominant growth mechanism for massive quiescent galaxies, with little contribution from newly quenched star-forming systems.
- The double Schechter shape of the quiescent stellar-mass function out to $z \sim 2$ means single-component fits will systematically underestimate the low-mass end, affecting estimates of the quiescent mass budget at cosmic noon.
- If low-mass quenching is environmental, the number density of low-mass quiescent galaxies should rise toward lower redshift and concentrate in overdense regions; the paper finds supporting evidence in known quiescent dwarfs inside overdensities at $z \sim 2$.
Reading between the lines
- If ram-pressure stripping is the cause, low-mass quiescent galaxies should show outside-in ageing: older stellar populations in their outskirts and younger light toward the centre. This is testable with resolved colour profiles or deep integral-field spectroscopy, which the paper does not present.
- The same low-mass versus high-mass split should appear in other deep near-infrared surveys with a similar pivot mass; measuring how the pivot moves with redshift would show whether the boundary between environmental and internal quenching changes as the universe ages.
- Because low-mass quiescent galaxies were apparently quenched without structural transformation, they should retain the rotation of their pre-quenching disks; deep kinematic observations could check whether they rotate like star-forming disks rather than being pressure-supported like classic ellipticals.
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. This paper uses JWST PRIMER NIRCam imaging of the COSMOS and UDS fields (~300 sq. arcmin) to study the galaxy stellar-mass function, size-mass relations, and morphologies of star-forming and quiescent galaxies in four redshift bins from 0.25<z<2.25. The authors report that the quiescent GSMF is well described by a double Schechter function with a low-mass upturn at log10(M*/M_sun) <~ 10 out to z~2.25, and that the quiescent population separates into two distinct classes around log10(M*/M_sun) ~ 10. Low-mass quiescent galaxies are found to have shallower size-mass slopes consistent with star-forming galaxies, disk-like morphologies (low Sersic indices, Gini and M20 values similar to spirals), and median size evolution Re ∝ (1+z)^{-0.24±0.08}, matching low-mass star-forming galaxies and much slower than the β=1.14±0.02 evolution of high-mass quiescent galaxies. The paper interprets these results as evidence that low-mass quiescent galaxies were quenched by environmental mechanisms while high-mass quiescent galaxies were quenched internally and subsequently grew by minor mergers.
Significance. If the conclusions hold, the paper provides a coherent, multi-observable case that environmental quenching already operated at z~2, extending previous GSMF-based evidence to size and morphology measurements from JWST. The use of the PRIMER public data, the careful SED fitting with Bagpipes, and the direct measurement of median size evolution are genuine strengths, and the consistency among the GSMF upturn, size-mass slopes, Sersic indices, and Gini-M20 morphology is impressive. However, the headline claim that the low-mass quiescent size-mass slope is indistinguishable from the star-forming slope at z>1.25 is weakened by the fact that the two highest-redshift slopes are fixed rather than measured (Table 4), so the significance of the high-redshift size-mass result is conditional. The paper is likely to be an important reference for quenching studies at cosmic noon, but the presented evidence does not yet fully support the strongest statements in the abstract and conclusions.
major comments (4)
- [Section 4.2.2 / Table 4] Table 4 and its footnote (a) state that in the two highest-redshift bins (1.25<z<1.75 and 1.75<z<2.25) the low-mass quiescent size-mass slopes were fixed to their low-redshift values (alpha=0.17). Therefore the abstract's claim that the low-mass quiescent slope is 'indistinguishable from that followed by star-forming galaxies' and the conclusion (iii) that this slope 'shows little sign of evolution' are not based on measurements in the two bins where the claim is most novel; they are partly input assumptions. This is a load-bearing issue for the central environmental-quenching interpretation. Please either fit the slope freely in these bins (reporting the uncertainty), or explicitly restrict the slope-comparison claim to z<1.25 and present the z>1.25 behavior as conditional on the assumed slope.
- [Section 4.2 and Section 4.3.3] The split between 'low-mass' and 'high-mass' quiescent galaxies is applied at log10(M*/M_sun)=10, which the text (Section 4.2) says is motivated by 'the observed inflection point in the quiescent GSMF' from the same PRIMER data. Because the same data are used to choose the pivot and then to infer distinct size-mass slopes and morphological differences for the two sub-populations, the two-population conclusion is partly circular. Please test the robustness of the fitted slopes and of the median Sersic-index differences to varying the pivot mass over a plausible range (e.g., 9.5 to 10.5), or adopt an a priori split, and state how the conclusions change.
- [Table 3 and Section 4.1 / 5.1] In the highest-redshift bin (1.75<z<2.25), the double-Schechter fit to the quiescent GSMF gives alpha2 = -2.60 +/- 2.25, i.e. the low-mass slope is essentially unconstrained. The text nonetheless states that PRIMER 'firmly established' the low-mass upturn out to z~2.25, and the abstract says the upturn is 'confirmed' at z<~2.0. This is stronger than the parameter constraints warrant. Please provide a quantitative model comparison (e.g., delta chi-squared or BIC for the single versus double Schechter fits) and quote the uncertainty on the amplitude of the upturn, or soften the language for the highest-redshift bin.
- [Section 4.3.3 / Table 7 and Figure 5] The equality of the low-mass quiescent and star-forming size-redshift slopes is judged only by the overlap of uncertainties (beta_Q = 0.24 +/- 0.08 versus beta_SF = 0.25 +/- 0.03). Given the much larger uncertainty on beta_Q, this statement is weaker than it appears. Please add a quantitative statement of the constraint, for example the 1-sigma or 2-sigma upper bound on |beta_Q - beta_SF|, so that the reader can judge how strongly the data actually prefer identical evolution. This is not a fatal issue, but it is needed to support the 'indistinguishable' language.
minor comments (6)
- [Section 6(iv)] There is a typo in 'In constrast' which should be 'In contrast'.
- [Table 2 caption] The word 'subseqeuntly' should be 'subsequently'.
- [Section 4.3.2] The code name is written inconsistently as 'Statmorph' here and 'StatMorph' earlier; please use a single spelling throughout.
- [Appendix A] The appendix contains only the placeholder text 'SOME EXTRA MATERIAL'; this appears to be leftover template content and should be removed before publication.
- [References] The reference for Salim et al. (2018) spells out 'The Astrophysical Journal' while all other journal names are abbreviated; please standardize the reference style.
- [Figure 3] In the bottom row of Figure 3, the single power-law fits for low- and high-mass quiescent galaxies are difficult to distinguish in a grayscale print; please use different line styles or labels.
Circularity Check
The 'indistinguishable from star-forming' size-mass slope claim at z > 1.25 reduces to an input assumption: Table 4 fixes the low-mass quiescent slope to the low-redshift value 0.17 in the two highest-redshift bins, so the claimed non-evolution and equality with the star-forming slope are imposed, not measured.
-
fitted input called prediction
[Section 4.2.2 and Table 4 footnote; Conclusions item (iii)]
"aFor the two highest-redshift bins, the low-mass quiescent slopes were fixed to their low-redshift values. ... The slope of the size-mass relation for low-mass quiescent galaxies is indistinguishable from that of the star-forming galaxy relation and shows little sign of evolution within the redshift range studied."
The size-mass slope of low-mass quiescent galaxies in the two highest-redshift bins (1.25 < z < 1.75 and 1.75 < z < 2.25) is not fitted to the data; it is set equal to the low-redshift value of alpha = 0.17, which is also essentially the star-forming slope (0.17-0.21). The paper then presents as a result that this slope is indistinguishable from the star-forming slope and shows little evolution out to z ~ 2.25. For the two bins where the relation is most novel, the 'measured' slope is, by construction, the assumed input value, so the specific claim of slope equality and non-evolution at z > 1.25 is not an independent measurement.
full rationale
The central claim that low-mass quiescent galaxies follow the same size-mass relation as star-forming galaxies at z > 1.25 is partially circular: Table 4 fixes the low-mass quiescent slope to 0.17 in the two highest-redshift bins, so the stated non-evolution and equality with the star-forming slope in those bins is an input assumption rather than a measurement. This warrants a score of 6 under the rubric for 'one or more predictions reduce by construction.' However, the paper is not wholly circular. The size-redshift evolution of median sizes (beta_Q = 0.24 +/- 0.08 vs beta_SF = 0.25 +/- 0.03; Table 7, Fig. 5) is measured directly, and the Sersic-index and Gini-M20 morphology trends are also independent lines of evidence. The GSMF results provide some support, but the highest-redshift double-Schechter low-mass slope is very poorly constrained (alpha2 = -2.60 +/- 2.25 at 1.75 < z < 2.25), a limitation the authors implicitly acknowledge via small sample sizes; this weakens but does not circularize the GSMF claim. Self-citations of Hamadouche et al. (2022) are used for the standard size-fitting method and are consistent with broad independent literature, so they are not load-bearing. Overall, the slope non-evolution result at z > 1.25 is partially constructed, giving a score of 6, while the independent size-evolution and morphology measurements keep the paper from being fully circular.
Assumptions & free parameters
free parameters (10)
- Quiescent GSMF double Schechter low-mass slope alpha1 =
0.30 +/- 0.43, 0.19 +/- 0.45, 0.22 +/- 0.46, 0.02 +/- 0.38 (4 redshift bins)
- Quiescent GSMF characteristic mass log M* =
10.70 to 10.73
- Size-mass low-mass quiescent slope alpha (fixed) =
0.17 (imposed in z>1.25 bins)
- Size-mass high-mass quiescent slope alpha =
0.55 to 0.69
- Size evolution slope beta for low-mass quiescent galaxies =
0.24 +/- 0.08
- Size evolution slope beta for high-mass quiescent galaxies =
1.14 +/- 0.02
- Double power-law transition sharpness delta =
6 (fixed)
- Pivot mass split log10(M*/Msun) =
10.0
- Size uncertainty floor =
0.1 dex
- Bagpipes SED parameters (stellar mass, SFH slopes, dust) =
per galaxy
assumptions (7)
- domain assumption UVJ color selection separates quiescent from star-forming galaxies at 0.25<z<2.25
- domain assumption Photometric redshifts from Begley et al. (2024) have about 3% catastrophic outliers and 0.02 scatter
- domain assumption Bagpipes SED fitting with double-power-law SFH and BC03/Chevallard & Charlot models returns unbiased stellar masses
- domain assumption The double Schechter function is the correct functional form for the quiescent GSMF
- domain assumption The low-mass upturn in the quiescent GSMF is caused by environmental quenching
- domain assumption Rest-frame near-IR F356W sizes trace mass-weighted structure
- ad hoc to paper The low-mass quiescent size-mass slope is constant with redshift (alpha=0.17)
Cite this review
Pith. "Pith review of JWST PRIMER: strong evidence for the environmental quenching of low-mass galaxies out to $\mathbf{\textit{z} \simeq 2}$." pith.science (2026). https://pith.science/paper/33KO22QN
@misc{pith2026241209592,
author = {Pith},
title = {Pith review of: JWST PRIMER: strong evidence for the environmental quenching of low-mass galaxies out to $\mathbf\textitz \simeq 2$},
year = {2026},
howpublished = {\url{https://pith.science/paper/33KO22QN}},
note = {Machine review of arXiv:2412.09592}
}
abstract
We present the results of a study investigating the galaxy stellar-mass function (GSMF), size-mass relations and morphological properties of star-forming and quiescent galaxies over the redshift range $0.25<z<2.25$, using the JWST PRIMER survey. The depth of the PRIMER near-IR imaging allows us to confirm the double Schechter function shape of the quiescent GSMF out to $z\simeq2.0$, via a clear detection of the upturn at $\mathrm{log}_{10}(M_{\star}/ M_{\odot}) \leq 10$ thought to be induced by environmental quenching. In addition to the GSMF, we confirm that quiescent galaxies can be split into separate populations at $\mathrm{log}_{10}(M_{\star}/M_{\odot}) \simeq 10$, based on their size-mass relations and morphologies. We find that low-mass quiescent galaxies have more disk-like morphologies (based on S\'ersic index, Gini coefficient and $M_{20}$ metrics) and follow a shallower size-mass relation than their high-mass counterparts. Indeed, the slope of the size-mass relation followed by low-mass quiescent galaxies is indistinguishable from that followed by star-forming galaxies, albeit with a lower normalization. Moreover, within the errors, the evolution in the median size of low-mass quiescent galaxies is indistinguishable from that followed by star-forming galaxies ($R_{e}\propto(1+z)^{-0.25\pm0.03})$, and significantly less rapid than that displayed by high-mass quiescent galaxies ($R_{e}\propto (1+z)^{-1.14\pm 0.03})$. Overall, our results are consistent with low and high-mass quiescent galaxies following different quenching pathways. The evolution of low-mass quiescent galaxies is qualitatively consistent with the expectations of external/environmental quenching (e.g. ram-pressure stripping). In contrast, the evolution of high-mass quiescent galaxies is consistent with internal/mass quenching (e.g. AGN feedback) followed by size growth driven by minor mergers.
Figures
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Reference graph
Works this paper leans on
-
[1]
write newline
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-
[2]
Abraham R. G., et al., 1996, @doi [ ] 10.1086/177999 , https://ui.adsabs.harvard.edu/abs/1996ApJ...471..694A 471, 694
doi:10.1086/177999 1996
-
[3]
Alberts S., et al., 2023, @doi [arXiv e-prints] 10.48550/arXiv.2312.12207 , https://ui.adsabs.harvard.edu/abs/2023arXiv231212207A p. arXiv:2312.12207
-
[4]
Almaini O., et al., 2017, @doi [ ] 10.1093/mnras/stx1957 , https://ui.adsabs.harvard.edu/abs/2017MNRAS.472.1401A 472, 1401
-
[5]
Antwi-Danso J., et al., 2023, @doi [arXiv e-prints] 10.48550/arXiv.2307.09590 , https://ui.adsabs.harvard.edu/abs/2023arXiv230709590A p. arXiv:2307.09590
-
[6]
Asplund M., Grevesse N., Sauval A. J., Scott P., 2009, @doi [ ] 10.1146/annurev.astro.46.060407.145222 , https://ui.adsabs.harvard.edu/abs/2009ARA&A..47..481A 47, 481
arXiv 2009
-
[7]
K., Glazebrook K., Brinkmann J., Ivezi \'c Z ., Lupton R
Baldry I. K., Glazebrook K., Brinkmann J., Ivezi \'c Z ., Lupton R. H., Nichol R. C., Szalay A. S., 2004, @doi [ ] 10.1086/380092 , https://ui.adsabs.harvard.edu/abs/2004ApJ...600..681B 600, 681
doi:10.1086/380092 2004
-
[8]
Barone T. M., et al., 2022, @doi [ ] 10.1093/mnras/stac705 , https://ui.adsabs.harvard.edu/abs/2022MNRAS.512.3828B 512, 3828
Show all 108 references
- [9]
-
[10]
Bertin E., Arnouts S., 1996, @doi [ ] 10.1051/aas:1996164 , https://ui.adsabs.harvard.edu/abs/1996A&AS..117..393B 117, 393
1996 doi
-
[11]
G., Kriek M., Conroy C., Bezanson R., Franx M., van der Wel A., 2021, arXiv e-prints, https://ui.adsabs.harvard.edu/abs/2021arXiv210512750B p
Beverage A. G., Kriek M., Conroy C., Bezanson R., Franx M., van der Wel A., 2021, arXiv e-prints, https://ui.adsabs.harvard.edu/abs/2021arXiv210512750B p. arXiv:2105.12750
2021 arXiv
-
[12]
G., Kriek M., Conroy C., Sandford N
Beverage A. G., Kriek M., Conroy C., Sandford N. R., Bezanson R., Franx M., van der Wel A., Weisz D. R., 2023, @doi [ ] 10.3847/1538-4357/acc176 , https://ui.adsabs.harvard.edu/abs/2023ApJ...948..140B 948, 140
2023 doi
-
[13]
Boselli A., Gavazzi G., 2006, @doi [ ] 10.1086/500691 , https://ui.adsabs.harvard.edu/abs/2006PASP..118..517B 118, 517
2006 doi
-
[14]
Brennan R., et al., 2015, @doi [ ] 10.1093/mnras/stv1007 , https://ui.adsabs.harvard.edu/abs/2015MNRAS.451.2933B 451, 2933
2015 doi
-
[16]
A., et al., 2014, @doi [ ] 10.1093/mnras/stu1537 , https://ui.adsabs.harvard.edu/abs/2014MNRAS.444.1660B 444, 1660
Bruce V. A., et al., 2014, @doi [ ] 10.1093/mnras/stu1537 , https://ui.adsabs.harvard.edu/abs/2014MNRAS.444.1660B 444, 1660
2014 doi
-
[18]
P., Bruce V
Buitrago F., Trujillo I., Curtis-Lake E., Montes M., Cooper A. P., Bruce V. A., P \'e rez-Gonz \'a lez P. G., Cirasuolo M., 2017, @doi [ ] 10.1093/mnras/stw3382 , https://ui.adsabs.harvard.edu/abs/2017MNRAS.466.4888B 466, 4888
2017 doi
-
[19]
J., Conroy C., Johnson B
Byler N., Dalcanton J. J., Conroy C., Johnson B. D., 2017, @doi [ ] 10.3847/1538-4357/aa6c66 , https://ui.adsabs.harvard.edu/abs/2017ApJ...840...44B 840, 44
2017 doi
-
[20]
C., Kinney A
Calzetti D., Armus L., Bohlin R. C., Kinney A. L., Koornneef J., Storchi-Bergmann T., 2000, @doi [ ] 10.1086/308692 , https://ui.adsabs.harvard.edu/abs/2000ApJ...533..682C 533, 682
2000 doi
-
[21]
C., McLure R
Carnall A. C., McLure R. J., Dunlop J. S., Dav \'e R., 2018, @doi [ ] 10.1093/mnras/sty2169 , https://ui.adsabs.harvard.edu/abs/2018MNRAS.480.4379C 480, 4379
2018 doi
-
[22]
C., et al., 2023, @doi [ ] 10.1038/s41586-023-06158-6 , https://ui.adsabs.harvard.edu/abs/2023Natur.619..716C 619, 716
Carnall A. C., et al., 2023, @doi [ ] 10.1038/s41586-023-06158-6 , https://ui.adsabs.harvard.edu/abs/2023Natur.619..716C 619, 716
2023 doi
-
[23]
C., et al., 2024, @doi [ ] 10.1093/mnras/stae2092 , https://ui.adsabs.harvard.edu/abs/2024MNRAS.534..325C 534, 325
Carnall A. C., et al., 2024, @doi [ ] 10.1093/mnras/stae2092 , https://ui.adsabs.harvard.edu/abs/2024MNRAS.534..325C 534, 325
2024 doi
-
[24]
Chevallard J., Charlot S., 2016, @doi [ ] 10.1093/mnras/stw1756 , https://ui.adsabs.harvard.edu/abs/2016MNRAS.462.1415C 462, 1415
2016 doi
-
[25]
Cimatti A., Nipoti C., Cassata P., 2012, @doi [ ] 10.1111/j.1745-3933.2012.01237.x , https://ui.adsabs.harvard.edu/abs/2012MNRAS.422L..62C 422, L62
2012
-
[26]
Cirasuolo M., et al., 2020, @doi [The Messenger] 10.18727/0722-6691/5195 , https://ui.adsabs.harvard.edu/abs/2020Msngr.180...10C 180, 10
2020 doi
-
[27]
J., 2014, @doi [ ] 10.1146/annurev-astro-081913-040037 , https://ui.adsabs.harvard.edu/abs/2014ARA&A..52..291C 52, 291
Conselice C. J., 2014, @doi [ ] 10.1146/annurev-astro-081913-040037 , https://ui.adsabs.harvard.edu/abs/2014ARA&A..52..291C 52, 291
2014 doi
-
[28]
E., et al., 2022, @doi [ ] 10.3847/1538-4357/ac341c , https://ui.adsabs.harvard.edu/abs/2022ApJ...925...34C 925, 34
Cutler S. E., et al., 2022, @doi [ ] 10.3847/1538-4357/ac341c , https://ui.adsabs.harvard.edu/abs/2022ApJ...925...34C 925, 34
2022 doi
-
[29]
E., et al., 2024, @doi [ ] 10.3847/2041-8213/ad464c , https://ui.adsabs.harvard.edu/abs/2024ApJ...967L..23C 967, L23
Cutler S. E., et al., 2024, @doi [ ] 10.3847/2041-8213/ad464c , https://ui.adsabs.harvard.edu/abs/2024ApJ...967L..23C 967, L23
2024 doi
-
[30]
D'Onofrio M., Marziani P., Buson L., 2015, @doi [Frontiers in Astronomy and Space Sciences] 10.3389/fspas.2015.00004 , https://ui.adsabs.harvard.edu/abs/2015FrASS...2....4D 2, 4
2015
-
[31]
Davidzon I., et al., 2017, @doi [ ] 10.1051/0004-6361/201730419 , https://ui.adsabs.harvard.edu/abs/2017A&A...605A..70D 605, A70
2017 doi
-
[32]
Dekel A., Birnboim Y., 2006, @doi [ ] 10.1111/j.1365-2966.2006.10145.x , https://ui.adsabs.harvard.edu/abs/2006MNRAS.368....2D 368, 2
2006
-
[33]
Dekel A., Silk J., 1986, @doi [ ] 10.1086/164050 , https://ui.adsabs.harvard.edu/abs/1986ApJ...303...39D 303, 39
1986 doi
-
[34]
T., et al., 2024, @doi [ ] 10.1093/mnras/stae2037 , https://ui.adsabs.harvard.edu/abs/2024MNRAS.533.3222D 533, 3222
Donnan C. T., et al., 2024, @doi [ ] 10.1093/mnras/stae2037 , https://ui.adsabs.harvard.edu/abs/2024MNRAS.533.3222D 533, 3222
2024 doi
-
[35]
Dubois Y., Gavazzi R., Peirani S., Silk J., 2013, @doi [ ] 10.1093/mnras/stt997 , https://ui.adsabs.harvard.edu/abs/2013MNRAS.433.3297D 433, 3297
2013 doi
-
[36]
Dubois Y., Peirani S., Pichon C., Devriendt J., Gavazzi R., Welker C., Volonteri M., 2016, @doi [ ] 10.1093/mnras/stw2265 , https://ui.adsabs.harvard.edu/abs/2016MNRAS.463.3948D 463, 3948
2016 doi
-
[37]
S., et al., 2021, PRIMER: Public Release IMaging for Extragalactic Research , JWST Proposal
Dunlop J. S., et al., 2021, PRIMER: Public Release IMaging for Extragalactic Research , JWST Proposal. Cycle 1
2021
-
[38]
J., et al., 2017, , https://ui.adsabs.harvard.edu/abs/2017RMxAA..53..385F 53, 385
Ferland G. J., et al., 2017, , https://ui.adsabs.harvard.edu/abs/2017RMxAA..53..385F 53, 385
2017
-
[39]
Fontana A., et al., 2006, @doi [ ] 10.1051/0004-6361:20065475 , https://ui.adsabs.harvard.edu/abs/2006A&A...459..745F 459, 745
2006 doi
-
[40]
M., Dav \'e R., 2012, @doi [ ] 10.1111/j.1365-2966.2012.21640.x , https://ui.adsabs.harvard.edu/abs/2012MNRAS.427.1816G 427, 1816
Gabor J. M., Dav \'e R., 2012, @doi [ ] 10.1111/j.1365-2966.2012.21640.x , https://ui.adsabs.harvard.edu/abs/2012MNRAS.427.1816G 427, 1816
2012
- [41]
-
[42]
Glazebrook K., et al., 2024, @doi [ ] 10.1038/s41586-024-07191-9 , https://ui.adsabs.harvard.edu/abs/2024Natur.628..277G 628, 277
2024 doi
-
[43]
Gould K. M. L., et al., 2023, @doi [ ] 10.3847/1538-3881/accadc , https://ui.adsabs.harvard.edu/abs/2023AJ....165..248G 165, 248
2023 doi
-
[44]
A., et al., 2011, @doi [ ] 10.1088/0067-0049/197/2/35 , https://ui.adsabs.harvard.edu/abs/2011ApJS..197...35G 197, 35
Grogin N. A., et al., 2011, @doi [ ] 10.1088/0067-0049/197/2/35 , https://ui.adsabs.harvard.edu/abs/2011ApJS..197...35G 197, 35
2011 doi
-
[45]
E., Gott J
Gunn J. E., Gott J. Richard I., 1972, @doi [ ] 10.1086/151605 , https://ui.adsabs.harvard.edu/abs/1972ApJ...176....1G 176, 1
1972 doi
-
[46]
L., et al., 2022, @doi [ ] 10.1093/mnras/stac535 , https://ui.adsabs.harvard.edu/abs/2022MNRAS.512.1262H 512, 1262
Hamadouche M. L., et al., 2022, @doi [ ] 10.1093/mnras/stac535 , https://ui.adsabs.harvard.edu/abs/2022MNRAS.512.1262H 512, 1262
2022 doi
-
[47]
L., et al., 2023, @doi [ ] 10.1093/mnras/stad773 , https://ui.adsabs.harvard.edu/abs/2023MNRAS.tmp..741H
Hamadouche M. L., et al., 2023, @doi [ ] 10.1093/mnras/stad773 , https://ui.adsabs.harvard.edu/abs/2023MNRAS.tmp..741H
2023 doi
-
[48]
H \"a ussler B., et al., 2007, @doi [ ] 10.1086/518836 , https://ui.adsabs.harvard.edu/abs/2007ApJS..172..615H 172, 615
2007 doi
-
[49]
Hirschmann M., De Lucia G., Wilman D., Weinmann S., Iovino A., Cucciati O., Zibetti S., Villalobos \'A ., 2014, @doi [ ] 10.1093/mnras/stu1609 , https://ui.adsabs.harvard.edu/abs/2014MNRAS.444.2938H 444, 2938
2014 doi
-
[50]
F., et al., 2010, @doi [ ] 10.1088/0004-637X/724/2/915 , https://ui.adsabs.harvard.edu/abs/2010ApJ...724..915H 724, 915
Hopkins P. F., et al., 2010, @doi [ ] 10.1088/0004-637X/724/2/915 , https://ui.adsabs.harvard.edu/abs/2010ApJ...724..915H 724, 915
2010 doi
-
[51]
H., Venhola A., 2021, @doi [ ] 10.1051/0004-6361/202039408 , https://ui.adsabs.harvard.edu/abs/2021A&A...647A..80J 647, A80
Janz J., Salo H., Su A. H., Venhola A., 2021, @doi [ ] 10.1051/0004-6361/202039408 , https://ui.adsabs.harvard.edu/abs/2021A&A...647A..80J 647, A80
2021 doi
-
[52]
S., et al., 2023, @doi [ ] 10.3847/2041-8213/acad01 , https://ui.adsabs.harvard.edu/abs/2023ApJ...946L..15K 946, L15
Kartaltepe J. S., et al., 2023, @doi [ ] 10.3847/2041-8213/acad01 , https://ui.adsabs.harvard.edu/abs/2023ApJ...946L..15K 946, L15
2023 doi
-
[53]
Kawinwanichakij L., et al., 2017, @doi [ ] 10.3847/1538-4357/aa8b75 , https://ui.adsabs.harvard.edu/abs/2017ApJ...847..134K 847, 134
2017 doi
-
[54]
arXiv:2109.09766
Kawinwanichakij L., et al., 2021, arXiv e-prints, https://ui.adsabs.harvard.edu/abs/2021arXiv210909766K p. arXiv:2109.09766
2021 arXiv
-
[55]
M., et al., 2011, @doi [ ] 10.1088/0067-0049/197/2/36 , https://ui.adsabs.harvard.edu/abs/2011ApJS..197...36K 197, 36
Koekemoer A. M., et al., 2011, @doi [ ] 10.1088/0067-0049/197/2/36 , https://ui.adsabs.harvard.edu/abs/2011ApJS..197...36K 197, 36
2011 doi
-
[56]
J., 2004, @doi [ ] 10.1146/annurev.astro.42.053102.134024 , https://ui.adsabs.harvard.edu/abs/2004ARA&A..42..603K 42, 603
Kormendy J., Kennicutt Robert C. J., 2004, @doi [ ] 10.1146/annurev.astro.42.053102.134024 , https://ui.adsabs.harvard.edu/abs/2004ARA&A..42..603K 42, 603
2004
-
[57]
Kova c K., et al., 2014, @doi [ ] 10.1093/mnras/stt2241 , https://ui.adsabs.harvard.edu/abs/2014MNRAS.438..717K 438, 717
2014 doi
-
[58]
G., Franx M., Illingworth G
Kriek M., van Dokkum P. G., Franx M., Illingworth G. D., Magee D. K., 2009, @doi [ ] 10.1088/0004-637X/705/1/L71 , https://ui.adsabs.harvard.edu/abs/2009ApJ...705L..71K 705, L71
2009 doi
-
[59]
Kroupa P., 2001, @doi [ ] 10.1046/j.1365-8711.2001.04022.x , https://ui.adsabs.harvard.edu/abs/2001MNRAS.322..231K 322, 231
2001
-
[60]
Kuchner U., Ziegler B., Verdugo M., Bamford S., H \"a u ler B., 2017, @doi [ ] 10.1051/0004-6361/201630252 , https://ui.adsabs.harvard.edu/abs/2017A&A...604A..54K 604, A54
2017 doi
-
[61]
Lange R., et al., 2015, @doi [ ] 10.1093/mnras/stu2467 , https://ui.adsabs.harvard.edu/abs/2015MNRAS.447.2603L 447, 2603
2015 doi
-
[62]
S., et al., 2024, @doi [ ] 10.3847/1538-4357/ad4cea , https://ui.adsabs.harvard.edu/abs/2024ApJ...970...68L 970, 68
Long A. S., et al., 2024, @doi [ ] 10.3847/1538-4357/ad4cea , https://ui.adsabs.harvard.edu/abs/2024ApJ...970...68L 970, 68
2024 doi
-
[63]
M., et al., 2008, @doi [ ] 10.1086/523659 , https://ui.adsabs.harvard.edu/abs/2008ApJ...672..177L 672, 177
Lotz J. M., et al., 2008, @doi [ ] 10.1086/523659 , https://ui.adsabs.harvard.edu/abs/2008ApJ...672..177L 672, 177
2008 doi
-
[64]
M., Fritz J., Werle A., Vulcani B., Moretti A., Gullieuszik M., Kulier A., 2023, @doi [ ] 10.1093/mnras/stad2604 , https://ui.adsabs.harvard.edu/abs/2023MNRAS.525.5359M 525, 5359
Marasco A., Poggianti B. M., Fritz J., Werle A., Vulcani B., Moretti A., Gullieuszik M., Kulier A., 2023, @doi [ ] 10.1093/mnras/stad2604 , https://ui.adsabs.harvard.edu/abs/2023MNRAS.525.5359M 525, 5359
2023 doi
-
[65]
F., Brammer G., Franx M., Nersesian A., 2024, @doi [ ] 10.3847/1538-4357/ad5c6a , https://ui.adsabs.harvard.edu/abs/2024ApJ...972..134M 972, 134
Martorano M., van der Wel A., Baes M., Bell E. F., Brammer G., Franx M., Nersesian A., 2024, @doi [ ] 10.3847/1538-4357/ad5c6a , https://ui.adsabs.harvard.edu/abs/2024ApJ...972..134M 972, 134
2024 doi
-
[66]
L., Bower R
McGee S. L., Bower R. G., Balogh M. L., 2014, @doi [ ] 10.1093/mnrasl/slu066 , https://ui.adsabs.harvard.edu/abs/2014MNRAS.442L.105M 442, L105
2014 doi
-
[67]
J., McLure R
McLeod D. J., McLure R. J., Dunlop J. S., Cullen F., Carnall A. C., Duncan K., 2021, @doi [ ] 10.1093/mnras/stab731 , https://ui.adsabs.harvard.edu/abs/2021MNRAS.503.4413M 503, 4413
2021 doi
-
[68]
J., et al., 2013, @doi [ ] 10.1093/mnras/sts092 , https://ui.adsabs.harvard.edu/abs/2013MNRAS.428.1088M 428, 1088
McLure R. J., et al., 2013, @doi [ ] 10.1093/mnras/sts092 , https://ui.adsabs.harvard.edu/abs/2013MNRAS.428.1088M 428, 1088
2013 doi
-
[69]
J., et al., 2018, @doi [ ] 10.1093/mnras/sty1213 , https://ui.adsabs.harvard.edu/abs/2018MNRAS.479...25M 479, 25
McLure R. J., et al., 2018, @doi [ ] 10.1093/mnras/sty1213 , https://ui.adsabs.harvard.edu/abs/2018MNRAS.479...25M 479, 25
2018 doi
-
[70]
Moore B., Lake G., Katz N., 1998, @doi [ ] 10.1086/305264 , https://ui.adsabs.harvard.edu/abs/1998ApJ...495..139M 495, 139
1998 doi
-
[71]
Moutard T., et al., 2016, @doi [ ] 10.1051/0004-6361/201527294 , https://ui.adsabs.harvard.edu/abs/2016A&A...590A.103M 590, A103
2016 doi
-
[72]
Moutard T., Sawicki M., Arnouts S., Golob A., Malavasi N., Adami C., Coupon J., Ilbert O., 2018, @doi [ ] 10.1093/mnras/sty1543 , https://ui.adsabs.harvard.edu/abs/2018MNRAS.479.2147M 479, 2147
2018 doi
-
[73]
B., 2019a, @doi [ ] 10.3847/2041-8213/ab0379 , https://ui.adsabs.harvard.edu/abs/2019ApJ...872L..13M 872, L13
Mowla L., van der Wel A., van Dokkum P., Miller T. B., 2019a, @doi [ ] 10.3847/2041-8213/ab0379 , https://ui.adsabs.harvard.edu/abs/2019ApJ...872L..13M 872, L13
-
[74]
A., et al., 2019b, @doi [ ] 10.3847/1538-4357/ab290a , https://ui.adsabs.harvard.edu/abs/2019ApJ...880...57M 880, 57
Mowla L. A., et al., 2019b, @doi [ ] 10.3847/1538-4357/ab290a , https://ui.adsabs.harvard.edu/abs/2019ApJ...880...57M 880, 57
-
[75]
Muzzin A., et al., 2013, @doi [ ] 10.1088/0004-637X/777/1/18 , https://ui.adsabs.harvard.edu/abs/2013ApJ...777...18M 777, 18
2013 doi
-
[76]
V., et al., 2021, arXiv e-prints, https://ui.adsabs.harvard.edu/abs/2021arXiv210607663N p
Nedkova K. V., et al., 2021, arXiv e-prints, https://ui.adsabs.harvard.edu/abs/2021arXiv210607663N p. arXiv:2106.07663
2021 arXiv
-
[77]
B., Ellis R
Newman A. B., Ellis R. S., Bundy K., Treu T., 2012, @doi [ ] 10.1088/0004-637X/746/2/162 , https://ui.adsabs.harvard.edu/abs/2012ApJ...746..162N 746, 162
2012 doi
-
[78]
R., Conselice C
Ownsworth J. R., Conselice C. J., Mortlock A., Hartley W. G., Almaini O., Duncan K., Mundy C. J., 2014, @doi [ ] 10.1093/mnras/stu1802 , https://ui.adsabs.harvard.edu/abs/2014MNRAS.445.2198O 445, 2198
2014 doi
-
[79]
Papovich C., et al., 2012, @doi [ ] 10.1088/0004-637X/750/2/93 , https://ui.adsabs.harvard.edu/abs/2012ApJ...750...93P 750, 93
2012 doi
-
[80]
Papovich C., et al., 2018, @doi [ ] 10.3847/1538-4357/aaa766 , https://ui.adsabs.harvard.edu/abs/2018ApJ...854...30P 854, 30
2018 doi
-
[81]
G., et al., 2013, @doi [ ] 10.1088/0004-637X/766/1/15 , https://ui.adsabs.harvard.edu/abs/2013ApJ...766...15P 766, 15
Patel S. G., et al., 2013, @doi [ ] 10.1088/0004-637X/766/1/15 , https://ui.adsabs.harvard.edu/abs/2013ApJ...766...15P 766, 15
2013 doi
-
[82]
Y., Ho L
Peng C. Y., Ho L. C., Impey C. D., Rix H.-W., 2002, @doi [ ] 10.1086/340952 , https://ui.adsabs.harvard.edu/abs/2002AJ....124..266P 124, 266
2002 doi
-
[83]
Peng Y.-j., et al., 2010, @doi [ ] 10.1088/0004-637X/721/1/193 , https://ui.adsabs.harvard.edu/abs/2010ApJ...721..193P 721, 193
2010 doi
-
[84]
Pozzetti L., et al., 2010, @doi [ ] 10.1051/0004-6361/200913020 , https://ui.adsabs.harvard.edu/abs/2010A&A...523A..13P 523, A13
2010 doi
-
[85]
Rodriguez-Gomez V., et al., 2019, @doi [ ] 10.1093/mnras/sty3345 , https://ui.adsabs.harvard.edu/abs/2019MNRAS.483.4140R 483, 4140
2019 doi
-
[86]
C., 2018, @doi [The Astrophysical Journal] 10.3847/1538-4357/aabf3c , 859, 11
Salim S., Boquien M., Lee J. C., 2018, @doi [The Astrophysical Journal] 10.3847/1538-4357/aabf3c , 859, 11
2018 doi
-
[87]
Samuel J., Pardasani B., Wetzel A., Santistevan I., Boylan-Kolchin M., Moreno J., Faucher-Gigu \`e re C.-A., 2023, @doi [ ] 10.1093/mnras/stad2576 , https://ui.adsabs.harvard.edu/abs/2023MNRAS.525.3849S 525, 3849
2023 doi
- [88]
-
[89]
Santini P., et al., 2022, @doi [ ] 10.3847/1538-4357/ac9a48 , https://ui.adsabs.harvard.edu/abs/2022ApJ...940..135S 940, 135
2022 doi
-
[90]
L., et al., 2017, @doi [ ] 10.1093/mnras/stw2289 , https://ui.adsabs.harvard.edu/abs/2017MNRAS.464..121S 464, 121
Schaefer A. L., et al., 2017, @doi [ ] 10.1093/mnras/stw2289 , https://ui.adsabs.harvard.edu/abs/2017MNRAS.464..121S 464, 121
2017 doi
-
[91]
J., White S
Shen S., Mo H. J., White S. D. M., Blanton M. R., Kauffmann G., Voges W., Brinkmann J., Csabai I., 2003, @doi [ ] 10.1046/j.1365-8711.2003.06740.x , https://ui.adsabs.harvard.edu/abs/2003MNRAS.343..978S 343, 978
2003
-
[92]
A., Wild V., Maltby D
Socolovsky M., Almaini O., Hatch N. A., Wild V., Maltby D. T., Hartley W. G., Simpson C., 2018, @doi [ ] 10.1093/mnras/sty312 , https://ui.adsabs.harvard.edu/abs/2018MNRAS.476.1242S 476, 1242
2018 doi
-
[93]
S., Davé R., 2015, @doi [Annual Review of Astronomy and Astrophysics] 10.1146/annurev-astro-082812-140951 , 53, 51
Somerville R. S., Davé R., 2015, @doi [Annual Review of Astronomy and Astrophysics] 10.1146/annurev-astro-082812-140951 , 53, 51
2015 doi
-
[94]
Strateva I., et al., 2001, @doi [ ] 10.1086/323301 , https://ui.adsabs.harvard.edu/abs/2001AJ....122.1861S 122, 1861
2001 doi
-
[95]
A., Kriek M., Price S
Suess K. A., Kriek M., Price S. H., Barro G., 2020, @doi [ ] 10.3847/2041-8213/abacc9 , https://ui.adsabs.harvard.edu/abs/2020ApJ...899L..26S 899, L26
2020 doi
-
[96]
A., et al., 2022, @doi [ ] 10.3847/2041-8213/ac8e06 , https://ui.adsabs.harvard.edu/abs/2022ApJ...937L..33S 937, L33
Suess K. A., et al., 2022, @doi [ ] 10.3847/2041-8213/ac8e06 , https://ui.adsabs.harvard.edu/abs/2022ApJ...937L..33S 937, L33
2022 doi
-
[97]
G., Rowlands K., 2023, @doi [ ] 10.1093/mnras/stad1098 , https://ui.adsabs.harvard.edu/abs/2023MNRAS.522.2297T 522, 2297
Taylor E., Almaini O., Merrifield M., Maltby D., Wild V., Hartley W. G., Rowlands K., 2023, @doi [ ] 10.1093/mnras/stad1098 , https://ui.adsabs.harvard.edu/abs/2023MNRAS.522.2297T 522, 2297
2023 doi
- [98]
-
[99]
J., Bundy K., Cooper M
Trujillo I., Conselice C. J., Bundy K., Cooper M. C., Eisenhardt P., Ellis R. S., 2007, @doi [ ] 10.1111/j.1365-2966.2007.12388.x , https://ui.adsabs.harvard.edu/abs/2007MNRAS.382..109T 382, 109
2007
-
[100]
V., White S
\"U bler H., Naab T., Oser L., Aumer M., Sales L. V., White S. D. M., 2014, @doi [ ] 10.1093/mnras/stu1275 , https://ui.adsabs.harvard.edu/abs/2014MNRAS.443.2092U 443, 2092
2014 doi
-
[101]
Valentino F., et al., 2023, @doi [ ] 10.3847/1538-4357/acbefa , https://ui.adsabs.harvard.edu/abs/2023ApJ...947...20V 947, 20
2023 doi
-
[102]
R., Tinker J
Wetzel A. R., Tinker J. L., Conroy C., van den Bosch F. C., 2013, @doi [ ] 10.1093/mnras/stt469 , https://ui.adsabs.harvard.edu/abs/2013MNRAS.432..336W 432, 336
2013 doi
-
[103]
J., Quadri R
Williams R. J., Quadri R. F., Franx M., van Dokkum P., Labb \'e I., 2009, @doi [ ] 10.1088/0004-637X/691/2/1879 , https://ui.adsabs.harvard.edu/abs/2009ApJ...691.1879W 691, 1879
2009 doi
-
[104]
J., Lagos C
Wright R. J., Lagos C. d. P., Davies L. J. M., Power C., Trayford J. W., Wong O. I., 2019, @doi [ ] 10.1093/mnras/stz1410 , https://ui.adsabs.harvard.edu/abs/2019MNRAS.487.3740W 487, 3740
2019 doi
- [105]
-
[106]
C., Aquino D., Yang X., Mo H
van den Bosch F. C., Aquino D., Yang X., Mo H. J., Pasquali A., McIntosh D. H., Weinmann S. M., Kang X., 2008, @doi [ ] 10.1111/j.1365-2966.2008.13230.x , https://ui.adsabs.harvard.edu/abs/2008MNRAS.387...79V 387, 79
2008
-
[107]
van der Wel A., et al., 2012, @doi [ ] 10.1088/0067-0049/203/2/24 , https://ui.adsabs.harvard.edu/abs/2012ApJS..203...24V 203, 24
2012 doi
-
[108]
van der Wel A., et al., 2014, @doi [ ] 10.1088/0004-637X/788/1/28 , https://ui.adsabs.harvard.edu/abs/2014ApJ...788...28V 788, 28
2014 doi
-
[109]
van der Wel A., et al., 2016, @doi [ ] 10.3847/0067-0049/223/2/29 , https://ui.adsabs.harvard.edu/abs/2016ApJS..223...29V 223, 29
2016 doi
-
[110]
write newline
" write newline "" before.all 'output.state := FUNCTION fin.entry write newline FUNCTION new.block output.state before.all = 'skip after.block 'output.state := if FUNCTION new.sentence output.state after.block = 'skip output.state before.all = 'skip after.sentence 'output.stat...
Reviewed August 11, 2026 · model on record in the stance chip above.
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