REVIEW 3 major objections 4 minor 73 references
Explaining the Weak Evolution of the High-Redshift Mass-Metallicity Relation with Galaxy Burst Cycles
T0 review · 3 major / 4 minor · reviewed 2026-08-07 · deepseek-v4-flash
Pith's one-line read A simplified burst-cycle model explains the nearly constant mass-metallicity relation at z = 5–12 by a cancellation between inflow metallicity and metal production efficiency.
desk verdict A parameter-free burst-cycle decomposition that convincingly explains the flat high-redshift MZR in FIRE-2 via cancellation between inflow metallicity and metal production efficiency; the reset assumption is softer than the paper admits but not fatal. 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 machinery is the burst-cycle decomposition of a galaxy's history, in which intense feedback evacuates the ISM on a 10–30 Myr timescale within 70–200 Myr cycles, followed by the Reduced Burst Model identity $Z_{\rm gas} \approx Z_{\rm in}^{\rm avg} + \varepsilon_Z$. The identity is obtained from the full gas-regulator expression by starting integration just after an outflow-driven reset, making initial gas and metal masses negligible, and dropping outflow and astration terms that are small during most of a cycle. It isolates the two quantities whose opposite redshift trends produce the constant MZR, and the measured scaling of its numerator and denominator terms ($\propto M_\star^{1.12}$ versus $\propto M_\star^{0.75}$) yields the MZR slope.
What would settle it
Compute, for each burst cycle in a FIRE-2-like simulation, the ratio of gas mass present at cycle start to the integrated inflow over that cycle; if the median ratio is not small (say $\lesssim 0.1$) across the z = 5–12 sample, the ISM-reset premise fails and the cancellation explanation cannot be the driver. Observationally, a mass-complete JWST sample showing more than about 0.1 dex of MZR normalization evolution from z = 12 to z = 5 would also contradict the prediction.
Extended reading notes
Core claim
The paper's central claim is that the nearly flat high-redshift MZR in FIRE-2 is produced by a cancellation inside the Reduced Burst Model: within a burst cycle, $Z_{\rm gas} \approx Z_{\rm in}^{\rm avg} + \varepsilon_Z$, where $Z_{\rm in}^{\rm avg}$ is the cycle-averaged metallicity of inflowing gas and $\varepsilon_Z$ is the metal mass returned by stars per unit inflowing gas mass. At fixed stellar mass, as redshift falls from 12 to 5, $Z_{\rm in}^{\rm avg}$ rises because more previously ejected, enriched gas is recycled back into the galaxy, while $\varepsilon_Z$ falls because less star formation occurs per unit inflow; the two trends nearly cancel, so the summed metallicity stays constant. The same model reproduces the MZR slope through the power-law scalings of the metal-inflow and metal-return integrals with stellar mass. The paper additionally claims that gas-phase metallicity at fixed stellar mass anticorrelates with H$\alpha$-derived star formation rate, an FMR-like signal that is weakened under rest-UV selection and absent for UV-continuum SFR.
Load-bearing premise
The entire cancellation explanation rests on the assumption that feedback-driven outflows empty the galaxy's ISM at the start of each burst cycle, so that gas and metals retained from earlier cycles are negligible; the authors themselves note this assumption begins to fail for the most massive galaxies and at lower redshift.
Editorial extensions
If this is right
- The weak evolution of the high-redshift MZR is driven by baryon-cycle processes, not by saturated or weakly evolving gas fractions, so closed-box and leaky-box explanations are incomplete.
- As redshift decreases, wind recycling enriches the gas flowing into galaxies while the star formation efficiency per inflow declines; these two trends are measurable and continue down to z = 5.
- The slope of the MZR follows from the model's scaling relations: integrated metal inflow and metal return scale roughly as $M_\star^{1.12}$ while integrated gas inflow scales as $M_\star^{0.75}$, giving the measured slope of about 0.37.
- The simulations predict an FMR-like inverse relation between gas-phase metallicity and H-alpha-derived star formation rate at fixed stellar mass, but the signal weakens when only rest-UV-selected galaxies are considered, which has direct consequences for JWST samples.
- The Reduced Burst Model applies to any galaxy population whose histories separate into burst cycles, even if that population's MZR evolves; the framework can therefore be transported to other simulations and regimes.
Reading between the lines
- Editorial inference: if the cancellation is generic, the constancy of the high-redshift MZR is not an equilibrium but a transient balance; simulations with weaker feedback and more retained gas between bursts should show growing MZR normalization by z = 5.
- Editorial inference: the burst-cycle picture predicts that abundance-ratio diagnostics such as alpha-to-iron ratios should vary with phase within a cycle (inflow, starburst, outflow), so phase-resolved JWST spectra could test the model directly.
- Editorial inference: the SFR-indicator dependence of the FMR-like signal implies that apparent evolution of the FMR at high redshift may be partly a selection effect and partly a timescale effect, and surveys using H-alpha versus UV-continuum SFR estimators may find systematically different metallicity offsets.
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. This paper analyzes a high-redshift (z = 5–12) suite of FIRE-2 cosmological zoom-in simulations to explain the weak evolution of the gas-phase mass–metallicity relation (MZR). The authors divide galaxy histories into 'burst cycles' bounded by feedback-driven outflows that reset the interstellar medium, and from the full gas-regulator model they derive a 'Reduced Burst Model' in which the gas-phase metallicity is approximately Z_in^avg + ε_Z, the sum of the time-averaged inflow metallicity and the stellar metal production efficiency per unit inflow (Eq. 6). They show that this reduced model reproduces the simulated MZR and the full gas-regulator predictions, and that the weak redshift evolution arises from a cancellation: as redshift decreases, Z_in^avg increases while ε_Z decreases. They additionally study a secondary dependence of metallicity on Hα-derived star formation rate, find an FMR-like signal in the mass-complete sample, and show that this signal is weakened when only rest-UV-selected (JWST-like) galaxies are considered.
Significance. If the central claim holds, the paper provides a concrete, physically motivated alternative to gas-fraction-based explanations of the high-redshift MZR, and it identifies inflow metallicity and star-formation efficiency as the key baryon-cycle drivers. The analysis is grounded in explicit particle and galaxy tracking, and the reduced model is checked against both the full gas-regulator expression and direct simulation measurements, with no free parameters tuned to match the MZR. The FMR selection-effect result is also timely for interpreting JWST metallicity samples. However, the derivation of Eq. (6) leans on the burst-reset assumption, and the paper does not directly quantify the residual ISM at cycle starts; the authors themselves note that the model is expected to break down at high stellar mass and at lower redshift. Those gaps make the scope of the central claim larger than the current evidence directly supports.
major comments (3)
- [Sections 3 and 4.1] The reduction from Eq. (2) to Eq. (6) assumes that M_gas,i and M_Z,i are negligible at the start of each burst cycle, but the burst-cycle definition in Section 4.1 allows a new cycle to begin at a local gas-mass minimum that is as high as 50% of the previous cycle's peak gas mass. Consequently, the residual ISM can be comparable to the integrated inflow terms for a substantial fraction of cycles, especially at high stellar mass. Because the full gas-regulator model (Eq. 2) and the reduced model (Eq. 6) are evaluated over the same cycle boundaries, agreement in Fig. 4 does not by itself establish that the initial terms are negligible. Please report the binned distributions of M_gas,i / ∫ M_in dt and M_Z,i / ∫ (M_Z,in + M_Z,R) dt as functions of stellar mass and redshift, and show directly that the reduced-model predictions and the Z_in^avg–ε_Z cancellation in Fig. 5 are robust when cycles with large residual ISM are removed.
- [Section 5.3 and Fig. 5] The paper presents the cancellation as holding the MZR approximately constant for z = 5–12 over the full stellar mass range, yet Section 5.3 states that deviations at M_star ≳ 10^9 M_sun may be due to gas retained between burst cycles, which is precisely the regime where the reset assumption underlying Eq. (6) is expected to fail. Please quantify the offsets between the reduced-model predictions and the FIRE-2 MZR in each mass bin (e.g., median offset and scatter in the highest-mass bin) and explicitly test whether the weak-evolution and cancellation conclusions hold when the analysis is restricted to M_star ≲ 10^9 M_sun. If the conclusions do not extend to the high-mass end, the scope of the central claim should be revised.
- [Section 5.2 and Appendix A] The interpretation that the decrease in ε_Z is driven by the decrease in the star formation efficiency SFE = ∫ SFR dt / ∫ M_in dt is not directly demonstrated, because ε_Z is defined using the total stellar metal return rate M_Z,R, which includes returns from stellar populations formed in earlier burst cycles as well as from the current cycle. Please show that returns from stars formed within the current cycle dominate M_Z,R (or separate the two contributions) and verify that the ε_Z–SFE relation holds when only current-cycle returns are used. Without this check, the physical explanation for the ε_Z evolution remains suggestive rather than established.
minor comments (4)
- [Section 1] The phrase 'cosmic baron cycle' should read 'cosmic baryon cycle'.
- [Figure 4 caption] In the right panel of Fig. 4, the expression 'Zavg_in + Z' should read 'Zavg_in + ε_Z' for consistency with Eq. (6).
- [Section 5.3] There is a duplicated word: 'the near-perfect cancellation between between Z_avg_in and ε_Z' should have only one 'between'.
- [Figure 5 caption] The middle and right panels label the metal production efficiency as 'Z' rather than 'ε_Z'; please correct the notation to match the text.
Circularity Check
Minor tautology in the reduced-model 'prediction', but no fitted parameter or self-citation chain forces the central cancellation claim.
-
other
[Section 3, Eq. (6); validation in Section 4.2 and Fig. 4.]
"Zgas ≈ Z avg in + εZ. (6) ... Figure 4 shows that metallicities calculated from the full 'Gas-Regulator Model' (equation 2) are in general agreement with values measured directly from the simulations by Marszewski et al. (2024), matching the prediction of weak evolution in the MZR for z ≳ 5."
The reduced-model output is a rearrangement of the same conservation accounting used to define Z_gas, evaluated with inflow and stellar-return integrals measured from the same FIRE-2 particle histories. Agreement with the simulated MZR therefore checks the bookkeeping and the burst-reset approximations rather than providing an out-of-sample prediction. The central claim that Z_in^avg and ε_Z evolve in opposite directions and cancel is an empirical decomposition of the simulation data, not a result forced by a fitted parameter, so the circularity is mild.
full rationale
The paper derives Eq. (6) from the exact conservation identity Eq. (2) by explicitly stating and later testing approximations (negligible initial ISM, short evacuation times, outflow metals near ISM metallicity). No parameter is fitted to the MZR; the quantities Z_in^avg and ε_Z are measured independently from inflow and stellar-return histories. The agreement between the reduced model and the FIRE-2 MZR is a consistency check of these approximations, which is a legitimate use of simulation bookkeeping. The cancellation between Z_in^avg and ε_Z is an empirical finding, and the paper also provides physically motivated explanations (wind recycling and declining star formation efficiency). Self-citations to Marszewski et al. (2024) supply the reference MZR but are not used to forbid alternatives or to import an unverified uniqueness theorem. The paper itself flags the key assumption's limitations in Section 5.3, noting that high-mass galaxies may retain gas between burst cycles and that the model is expected to break down at lower redshift. Those are robustness concerns, not circularity. Overall, the central derivation is self-contained and the circularity burden is low.
Assumptions & free parameters
free parameters (2)
- M_min_gas =
7000 M_sun
- Cycle-end gas mass threshold =
50% of peak gas mass
assumptions (5)
- domain assumption FIRE-2 simulation subgrid physics (star formation, stellar feedback, metal yields, turbulent diffusion) accurately represents high-redshift galaxy formation.
- ad hoc to paper Stars form with a metallicity equal to the current gas-phase metallicity, so the astration terms cancel in Equation (2).
- ad hoc to paper The ISM is effectively reset at the start of each burst cycle, making M_gas,i and M_Z,i negligible.
- ad hoc to paper Outflow terms are negligible because the evacuation timescale (10-30 Myr) is much shorter than the burst cycle (70-200 Myr) and outflow metallicity equals gas metallicity.
- domain assumption BPASS v2.2 spectral synthesis models with nebular emission correctly predict H-alpha and UV continuum luminosities from simulated stellar populations.
Cite this review
Pith. "Pith review of Explaining the Weak Evolution of the High-Redshift Mass-Metallicity Relation with Galaxy Burst Cycles." pith.science (2026). https://pith.science/paper/GF6VBTKT
@misc{pith2026250522712,
author = {Pith},
title = {Pith review of: Explaining the Weak Evolution of the High-Redshift Mass-Metallicity Relation with Galaxy Burst Cycles},
year = {2026},
howpublished = {\url{https://pith.science/paper/GF6VBTKT}},
note = {Machine review of arXiv:2505.22712}
}
abstract
Recent observations suggest a nearly constant gas-phase mass-metallicity relation (MZR) at $z \gtrsim 5$, in agreement with many theoretical predictions. This lack of evolution contrasts with observations at $z \lesssim 3$, which find an increasing normalization of the MZR with decreasing redshift. We analyze a high-redshift suite of FIRE-2 cosmological zoom-in simulations to identify the physical drivers of the MZR. Previous studies have explained the weak evolution of the high-redshift MZR in terms of weakly evolving or saturated gas fractions, but we find this alone does not explain the evolution in FIRE-2. Instead, stellar feedback following intense bursts of star formation drives enriched gas out of galaxies, resetting their interstellar medium and separating their histories into distinct ``burst cycles". We develop the ``Reduced Burst Model", a simplified gas-regulator model that successfully reproduces the simulated MZR and identifies the dominant drivers of its evolution. As redshift decreases, the metallicity of inflows within burst cycles increases at fixed stellar mass due to increased wind recycling of enriched gas. Meanwhile, the metal mass produced by stars per inflowing gas mass within these cycles decreases because of decreased star formation per gas mass inflowing into the galaxy. The effects of these two processes on the median metallicity largely cancel, holding the MZR constant for $z = 5 - 12$. At fixed stellar mass, the simulations predict lower gas metallicities at higher $\rm H\alpha$-derived star formation rates, in qualitative agreement with the fundamental metallicity relation (FMR), but this effect is reduced in rest UV-selected samples.
Figures
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Reference graph
Works this paper leans on
-
[1]
1989, , 53, 197, 10.1016/0016-7037(89)90286-X
Anders , E., & Grevesse , N. 1989, , 53, 197, 10.1016/0016-7037(89)90286-X
-
[2]
2017, , 470, 4698, 10.1093/mnras/stx1517
Angl \'e s-Alc \'a zar , D., Faucher-Gigu \`e re , C.-A., Kere s , D., et al. 2017, , 470, 4698, 10.1093/mnras/stx1517
-
[3]
2024, , 532, L14, 10.1093/mnrasl/slae036
Bassini , L., Feldmann , R., Gensior , J., et al. 2024, , 532, L14, 10.1093/mnrasl/slae036
-
[4]
S., Maiolino , R., Kennicutt , R., et al
Bothwell , M. S., Maiolino , R., Kennicutt , R., et al. 2013, , 433, 1425, 10.1093/mnras/stt817
-
[5]
Boyett , K., Bunker , A. J., Curtis-Lake , E., et al. 2024, , 535, 1796, 10.1093/mnras/stae2430
-
[6]
Bunker , A. J., Saxena , A., Cameron , A. J., et al. 2023, arXiv e-prints, arXiv:2302.07256, 10.48550/arXiv.2302.07256
-
[7]
2024, , 976, L15, 10.3847/2041-8213/ad8dc9
Chemerynska , I., Atek , H., Dayal , P., et al. 2024, , 976, L15, 10.3847/2041-8213/ad8dc9
-
[8]
Colbrook , M. J., Ma , X., Hopkins , P. F., & Squire , J. 2017, , 467, 2421, 10.1093/mnras/stx261
Show all 73 references
-
[9]
2023, , 518, 425, 10.1093/mnras/stac2737
Curti , M., D'Eugenio , F., Carniani , S., et al. 2023, , 518, 425, 10.1093/mnras/stac2737
2023 doi
-
[10]
2024, , 684, A75, 10.1051/0004-6361/202346698
Curti , M., Maiolino , R., Curtis-Lake , E., et al. 2024, , 684, A75, 10.1051/0004-6361/202346698
2024 doi
-
[11]
Dayal , P., Ferrara , A., & Dunlop , J. S. 2013, , 430, 2891, 10.1093/mnras/stt083
2013 doi
-
[12]
L., Patton , D
Ellison , S. L., Patton , D. R., Simard , L., & McConnachie , A. W. 2008, , 672, L107, 10.1086/527296
2008 doi
-
[13]
K., Shapley , A
Erb , D. K., Shapley , A. E., Pettini , M., et al. 2006, , 644, 813, 10.1086/503623
2006 doi
-
[14]
N., et al
Escala , I., Wetzel , A., Kirby , E. N., et al. 2018, , 474, 2194, 10.1093/mnras/stx2858
2018 doi
-
[15]
2018, , 473, 3717, 10.1093/mnras/stx2595
Faucher-Gigu \`e re , C.-A. 2018, , 473, 3717, 10.1093/mnras/stx2595
2018 doi
-
[16]
2009, , 703, 1416, 10.1088/0004-637X/703/2/1416
Faucher-Gigu \`e re , C.-A., Lidz , A., Zaldarriaga , M., & Hernquist , L. 2009, , 703, 1416, 10.1088/0004-637X/703/2/1416
2009 doi
-
[17]
2015, , 449, 3274, 10.1093/mnras/stv552
Feldmann , R. 2015, , 449, 3274, 10.1093/mnras/stv552
2015 doi
-
[18]
2023, , 522, 3831, 10.1093/mnras/stad1205
Feldmann , R., Quataert , E., Faucher-Gigu \`e re , C.-A., et al. 2023, , 522, 3831, 10.1093/mnras/stad1205
2023 doi
-
[19]
S., et al
Feldmann , R., Boylan-Kolchin , M., Bullock , J. S., et al. 2025, , 536, 988, 10.1093/mnras/stae2633
2025 doi
-
[20]
2008, , 385, 2181, 10.1111/j.1365-2966.2008.12991.x
Finlator , K., & Dav \'e , R. 2008, , 385, 2181, 10.1111/j.1365-2966.2008.12991.x
2008
-
[21]
A., Gurvich , A
Flores Vel \'a zquez , J. A., Gurvich , A. B., Faucher-Gigu \`e re , C.-A., et al. 2021, , 501, 4812, 10.1093/mnras/staa3893
2021 doi
-
[22]
M., Torrey , P., Ellison , S., et al
Garcia , A. M., Torrey , P., Ellison , S., et al. 2024, , 531, 1398, 10.1093/mnras/stae1252
2024 doi
-
[23]
M., Torrey , P., Ellison , S
Garcia , A. M., Torrey , P., Ellison , S. L., et al. 2025, , 536, 119, 10.1093/mnras/stae2587
2025 doi
-
[24]
C., Lu , Y., et al
Guo , Y., Koo , D. C., Lu , Y., et al. 2016, , 822, 103, 10.3847/0004-637X/822/2/103
2016 doi
-
[25]
L., Finlator , K., & Dressler , A
Henry , A., Martin , C. L., Finlator , K., & Dressler , A. 2013 a , , 769, 148, 10.1088/0004-637X/769/2/148
2013 doi
-
[26]
2013 b , , 776, L27, 10.1088/2041-8205/776/2/L27
Henry , A., Scarlata , C., Dom \' nguez , A., et al. 2013 b , , 776, L27, 10.1088/2041-8205/776/2/L27
2013 doi
-
[27]
Hopkins , P. F. 2015, , 450, 53, 10.1093/mnras/stv195
2015 doi
-
[28]
F., Kere s , D., O \ n orbe , J., et al
Hopkins , P. F., Kere s , D., O \ n orbe , J., et al. 2014, , 445, 581, 10.1093/mnras/stu1738
2014 doi
-
[29]
F., Wetzel , A., Kere s , D., et al
Hopkins , P. F., Wetzel , A., Kere s , D., et al. 2018, , 480, 800, 10.1093/mnras/sty1690
2018 doi
-
[30]
F., Wetzel , A., Wheeler , C., et al
Hopkins , P. F., Wetzel , A., Wheeler , C., et al. 2023, , 519, 3154, 10.1093/mnras/stac3489
2023 doi
-
[31]
Y.-Y., \'A lvarez-M \'a rquez , J., Coe , D., et al
Hsiao , T. Y.-Y., \'A lvarez-M \'a rquez , J., Coe , D., et al. 2024, arXiv e-prints, arXiv:2404.16200. 2404.16200
2024 arXiv
-
[32]
C., & Evans , N
Kennicutt , R. C., & Evans , N. J. 2012, , 50, 531, 10.1146/annurev-astro-081811-125610
2012 doi
-
[33]
A., Strom , A
Korhonen Cuestas , N. A., Strom , A. L., Miller , T. B., et al. 2025, , 984, 188, 10.3847/1538-4357/adc5f7
2025 doi
-
[34]
2001, , 322, 231, 10.1046/j.1365-8711.2001.04022.x
Kroupa , P. 2001, , 322, 231, 10.1046/j.1365-8711.2001.04022.x
2001
-
[35]
2020, , 494, 1988, 10.1093/mnras/staa880
Langan , I., Ceverino , D., & Finlator , K. 2020, , 494, 1988, 10.1093/mnras/staa880
2020 doi
- [36]
-
[37]
D., Cannon , J
Lee , H., Skillman , E. D., Cannon , J. M., et al. 2006, , 647, 970, 10.1086/505573
2006 doi
-
[38]
D., et al
Leitherer , C., Schaerer , D., Goldader , J. D., et al. 1999, , 123, 3, 10.1086/313233
1999 doi
-
[39]
F., Serrano , A., & Torres-Peimbert , S
Lequeux , J., Peimbert , M., Rayo , J. F., Serrano , A., & Torres-Peimbert , S. 1979, , 80, 155
1979
-
[40]
J., Carollo , C
Lilly , S. J., Carollo , C. M., Pipino , A., Renzini , A., & Peng , Y. 2013, , 772, 119, 10.1088/0004-637X/772/2/119
2013 doi
-
[41]
J., D'Eugenio , F., Maiolino , R., et al
Looser , T. J., D'Eugenio , F., Maiolino , R., et al. 2024, , 629, 53, 10.1038/s41586-024-07227-0
2024 doi
-
[42]
F., Faucher-Gigu \`e re , C.-A., et al
Ma , X., Hopkins , P. F., Faucher-Gigu \`e re , C.-A., et al. 2016, , 456, 2140, 10.1093/mnras/stv2659
2016 doi
-
[43]
F., Boylan-Kolchin , M., et al
Ma , X., Hopkins , P. F., Boylan-Kolchin , M., et al. 2018 a , , 477, 219, 10.1093/mnras/sty684
2018 doi
-
[44]
F., Garrison-Kimmel , S., et al
Ma , X., Hopkins , P. F., Garrison-Kimmel , S., et al. 2018 b , , 478, 1694, 10.1093/mnras/sty1024
2018 doi
-
[45]
C., Casey , C
Ma , X., Hayward , C. C., Casey , C. M., et al. 2019, , 487, 1844, 10.1093/mnras/stz1324
2019 doi
-
[46]
J., Ziegler , B
Maier , C., Lilly , S. J., Ziegler , B. L., et al. 2014, , 792, 3, 10.1088/0004-637X/792/1/3
2014 doi
-
[47]
2010, , 408, 2115, 10.1111/j.1365-2966.2010.17291.x
Mannucci , F., Cresci , G., Maiolino , R., Marconi , A., & Gnerucci , A. 2010, , 408, 2115, 10.1111/j.1365-2966.2010.17291.x
2010
-
[48]
C., & Feldmann , R
Marszewski , A., Sun , G., Faucher-Gigu \`e re , C.-A., Hayward , C. C., & Feldmann , R. 2024, , 967, L41, 10.3847/2041-8213/ad4cee
2024 doi
- [49]
-
[50]
L., Kere s , D., Faucher-Gigu \`e re , C.-A., et al
Muratov , A. L., Kere s , D., Faucher-Gigu \`e re , C.-A., et al. 2017, , 468, 4170, 10.1093/mnras/stx667
2017 doi
- [51]
-
[52]
2022, , 513, 5621, 10.1093/mnras/stac1281
Pallottini , A., Ferrara , A., Gallerani , S., et al. 2022, , 513, 5621, 10.1093/mnras/stac1281
2022 doi
-
[53]
B., Angl \'e s-Alc \'a zar , D., et al
Pandya , V., Fielding , D. B., Angl \'e s-Alc \'a zar , D., et al. 2021, , 508, 2979, 10.1093/mnras/stab2714
2021 doi
-
[54]
S., & Shankar , F
Peeples , M. S., & Shankar , F. 2011, , 417, 2962, 10.1111/j.1365-2966.2011.19456.x
2011
-
[55]
2020, , 641, A6, 10.1051/0004-6361/201833910
Planck Collaboration , Aghanim , N., Akrami , Y., et al. 2020, , 641, A6, 10.1051/0004-6361/201833910
2020 doi
-
[56]
E., Tacchella , S., Johnson , B
Robertson , B. E., Tacchella , S., Johnson , B. D., et al. 2023, Nature Astronomy, 7, 611, 10.1038/s41550-023-01921-1
2023 doi
- [57]
-
[58]
L., Shapley , A
Sanders , R. L., Shapley , A. E., Kriek , M., et al. 2015, , 799, 138, 10.1088/0004-637X/799/2/138
2015 doi
-
[59]
L., Shapley , A
Sanders , R. L., Shapley , A. E., Jones , T., et al. 2021, , 914, 19, 10.3847/1538-4357/abf4c1
2021 doi
- [60]
- [61]
-
[62]
R., & Eldridge , J
Stanway , E. R., & Eldridge , J. J. 2018, , 479, 75, 10.1093/mnras/sty1353
2018 doi
-
[63]
C., Rudie , G
Steidel , C. C., Rudie , G. C., Strom , A. L., et al. 2014, , 795, 165, 10.1088/0004-637X/795/2/165
2014 doi
-
[64]
C., & Shen , X
Sun , G., Faucher-Gigu \`e re , C.-A., Hayward , C. C., & Shen , X. 2023 a , , 526, 2665, 10.1093/mnras/stad2902
2023 doi
-
[65]
C., et al
Sun , G., Faucher-Gigu \`e re , C.-A., Hayward , C. C., et al. 2023 b , , 955, L35, 10.3847/2041-8213/acf85a
2023 doi
-
[66]
2019, , 484, 5587, 10.1093/mnras/stz243
Torrey , P., Vogelsberger , M., Marinacci , F., et al. 2019, , 484, 5587, 10.1093/mnras/stz243
2019 doi
-
[67]
A., Heckman , T
Tremonti , C. A., Heckman , T. M., Kauffmann , G., et al. 2004, , 613, 898, 10.1086/423264
2004 doi
-
[68]
2023, , 518, 3557, 10.1093/mnras/stac2654
Ucci , G., Dayal , P., Hutter , A., et al. 2023, , 518, 3557, 10.1093/mnras/stac2654
2023 doi
-
[69]
M., Vijayan , A
Wilkins , S. M., Vijayan , A. P., Lovell , C. C., et al. 2023, , 519, 3118, 10.1093/mnras/stac3280
2023 doi
-
[70]
2014, , 437, 3647, 10.1093/mnras/stt2185
Yabe , K., Ohta , K., Iwamuro , F., et al. 2014, , 437, 3647, 10.1093/mnras/stt2185
2014 doi
-
[71]
J., Bresolin , F., Kewley , L
Zahid , H. J., Bresolin , F., Kewley , L. J., Coil , A. L., & Dav \'e , R. 2012, , 750, 120, 10.1088/0004-637X/750/2/120
2012 doi
-
[72]
J., Geller , M
Zahid , H. J., Geller , M. J., Kewley , L. J., et al. 2013, , 771, L19, 10.1088/2041-8205/771/2/L19
2013 doi
-
[73]
J., Kewley , L
Zahid , H. J., Kewley , L. J., & Bresolin , F. 2011, , 730, 137, 10.1088/0004-637X/730/2/137
2011 doi
Reviewed August 7, 2026 · model on record in the stance chip above.
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