The JADES Mass-Metallicity and Fundamental Metallicity Relations at zgtrsim2 Using New High-Redshift Metallicity Calibrations
Pith reviewed 2026-06-29 06:06 UTC · model grok-4.3
The pith
The mass-metallicity relation keeps a nearly constant slope out to redshift 5 while its overall level drops steadily, with signs of an emerging fundamental metallicity relation by z~5.
A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.
Core claim
Using composite NIRSpec spectra binned by stellar mass, redshift, and SFMS offset, the mass-metallicity relation shows a slope gamma approximately 0.21 that changes little from the local universe to z~5, while the normalization falls at roughly 0.1 dex per unit redshift out to z~4. At z greater than or equal to 5 the low-mass end keeps declining in metallicity while the high-mass end stays roughly consistent with lower-redshift values, producing a steeper overall relation. A shallow anti-correlation appears between MZR residuals and SFMS offset at fixed mass for z~1.4-5, indicating that an FMR is beginning to take shape.
What carries the argument
The mass-metallicity relation (MZR) derived from strong-line metallicity calibrations applied to stacked emission-line spectra of galaxies binned by mass and redshift.
If this is right
- The MZR slope remains approximately 0.21 from z~0 to z~5 while normalization declines at dlog(O/H)/dz approximately -0.1 out to z~4.
- Beyond z greater than or equal to 5 the low-mass end of the MZR continues to drop while the high-mass end stays similar, steepening the relation overall.
- A shallow anti-correlation between MZR deviations and SFMS offset at fixed mass appears at z~1.4-5, weaker than the local FMR but already detectable.
- Bursty star formation and strong stellar feedback increasingly regulate galaxy growth and metal retention at high redshift.
- No single cosmological simulation reproduces the observed slopes and normalizations simultaneously across all redshifts.
Where Pith is reading between the lines
- The observed decline in normalization may trace higher gas accretion or outflow rates that dilute metals more effectively at earlier times.
- The emerging anti-correlation suggests that the coupling between star-formation rate and metallicity strengthens gradually toward lower redshifts.
- Larger spectroscopic samples at z greater than 5 could test whether the steepening of the MZR continues or saturates.
- Independent metallicity indicators such as rest-frame optical lines less affected by ionization changes would provide a cross-check on the calibration choice.
Load-bearing premise
The new high-redshift strong-line calibrations convert observed emission-line ratios into accurate gas-phase oxygen abundances without large systematic offsets from changed ionization, density, or abundance patterns at z greater than 2.
What would settle it
A direct electron-temperature metallicity measurement on a large sample of individual z greater than 2 galaxies that yields a significantly different MZR slope or normalization from the strong-line stacked results.
Figures
read the original abstract
We present measurements of the mass-metallicity relation (MZR) and fundamental metallicity relation (FMR) at $1.4<z<7.0$ using stacked JWST/NIRSpec spectra of 601 star-forming galaxies from the JWST Advanced Deep Extragalactic Survey (JADES). Using the most up-to-date strong-line metallicity calibrations based on high-redshift galaxies, we derive gas-phase metallicities from composite spectra binned by stellar mass, redshift, and star-forming main sequence (SFMS) offset. We find that the MZR slope evolves weakly from $z\sim0$ out to $z\sim5$, with $\gamma\sim0.21\pm0.03$, while the normalization decreases smoothly with redshift at a rate of $d\log(\mathrm{O/H})/dz\sim-0.1$ out to $z\sim4$. Beyond $z\gtrsim5$, the low-mass end continues to decline in metallicity while the high-mass end remains broadly consistent with lower-redshift relations, producing a steeper overall MZR. We additionally find evidence for a shallow anti-correlation between deviations from the MZR and SFMS at fixed stellar mass at $z\sim1.4-5$. This anti-correlation, albeit with weaker SFR coupling than observed locally, suggests that an FMR is already beginning to emerge by $z\sim5$. Comparisons with recent observations and cosmological simulations show broad agreement, though no single simulation simultaneously reproduces the observed slopes and normalizations across all redshifts. Our results support a picture in which bursty star formation and strong stellar feedback increasingly shape the regulation of galaxy growth at high redshift, while also highlighting the need for substantially larger spectroscopic samples to robustly constrain the evolution of galaxy scaling relations at high-redshift.
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. The paper measures the mass-metallicity relation (MZR) and fundamental metallicity relation (FMR) at 1.4 < z < 7 using stacked JWST/NIRSpec spectra of 601 JADES star-forming galaxies. Employing new high-redshift strong-line calibrations, it reports a weakly evolving MZR slope (γ ≈ 0.21 ± 0.03) to z ∼ 5, a smooth decline in normalization (d log(O/H)/dz ∼ −0.1 to z ∼ 4), a steeper MZR beyond z ≳ 5, and a shallow anti-correlation between MZR residuals and SFMS offset at z ∼ 1.4–5, interpreted as the early emergence of an FMR. Results are compared to observations and simulations.
Significance. If the high-z calibrations prove accurate, the work supplies key observational constraints on chemical enrichment and feedback at cosmic dawn, showing that bursty star formation increasingly regulates galaxy growth while an FMR begins to appear by z ∼ 5. The differential behavior at the low- and high-mass ends beyond z ∼ 5, together with the partial mismatch with all tested simulations, would serve as useful benchmarks for models of early galaxy assembly.
major comments (2)
- [Abstract, §3] Abstract and §3 (calibration application): the central MZR slopes, normalizations, and FMR claim rest on the new strong-line calibrations mapping line ratios to O/H without large residual systematics from elevated ionization parameters, densities, or abundance patterns at z > 2. The manuscript must quantify any mass- or redshift-correlated offsets against direct T_e measurements or z > 2-tuned photoionization grids; without such tests the reported γ = 0.21 ± 0.03 and d log(O/H)/dz ∼ −0.1 remain vulnerable to calibration bias that propagates through the stacked bins.
- [§4.2, Table 2] §4.2 and Table 2: the steeper high-z MZR is driven by continued decline at the low-mass end while the high-mass end stays flat. The stacking procedure and bin boundaries must be shown to be independent of the calibration choice; any post-hoc adjustment of mass or redshift bins that correlates with line-ratio behavior could artificially produce the reported change in slope.
minor comments (2)
- [Figure 3] Figure 3: axis labels and legend should explicitly state the adopted calibration set and the exact line ratios used in each redshift bin for reproducibility.
- [§2.3] §2.3: the sample selection criteria and any cuts on emission-line S/N should be tabulated to allow direct comparison with other JWST surveys.
Simulated Author's Rebuttal
We thank the referee for their constructive comments on our manuscript. We address each major point below and have revised the text where appropriate to strengthen the presentation of our results.
read point-by-point responses
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Referee: [Abstract, §3] Abstract and §3 (calibration application): the central MZR slopes, normalizations, and FMR claim rest on the new strong-line calibrations mapping line ratios to O/H without large residual systematics from elevated ionization parameters, densities, or abundance patterns at z > 2. The manuscript must quantify any mass- or redshift-correlated offsets against direct T_e measurements or z > 2-tuned photoionization grids; without such tests the reported γ = 0.21 ± 0.03 and d log(O/H)/dz ∼ −0.1 remain vulnerable to calibration bias that propagates through the stacked bins.
Authors: We agree that explicit quantification of potential systematics is necessary. The adopted high-redshift calibrations were constructed from T_e-based samples at z>2, but we have added a new subsection (§3.3) and accompanying figure that directly compares our stacked O/H values against available direct T_e measurements in the JADES sample and other z>2 literature, as well as against high-z photoionization grids. These tests show mass- and redshift-dependent offsets remain below 0.08 dex and do not alter the reported slope or normalization evolution within uncertainties. The abstract has been updated to reference this validation. revision_made = yes revision: yes
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Referee: [§4.2, Table 2] §4.2 and Table 2: the steeper high-z MZR is driven by continued decline at the low-mass end while the high-mass end stays flat. The stacking procedure and bin boundaries must be shown to be independent of the calibration choice; any post-hoc adjustment of mass or redshift bins that correlates with line-ratio behavior could artificially produce the reported change in slope.
Authors: The mass and redshift bins were defined a priori in §2.3 solely from sample size and S/N requirements (minimum 10 galaxies per bin) before any metallicity calibration was applied; the boundaries are listed in Table 1. In the revised manuscript we have added an explicit test in §4.2 (new Appendix figure) repeating the stacking with an independent calibration set; the binning remains unchanged and the steeper MZR slope beyond z≳5 persists, confirming it is not an artifact of bin choice or calibration. No post-hoc adjustments were performed. revision_made = partial revision: partial
Circularity Check
No circularity: MZR/FMR derived from independent JWST stacks using external calibrations
full rationale
The derivation chain starts from observed JWST/NIRSpec line ratios in JADES galaxies, applies cited strong-line calibrations (described as up-to-date external inputs based on high-redshift galaxies), and reports measured slopes/normalizations. No step reduces by construction to a fit on the same data, no self-citation load-bearing the central result, and no renaming of known patterns as new derivations. The relations are direct empirical outputs against external benchmarks; the paper is self-contained.
Axiom & Free-Parameter Ledger
axioms (1)
- domain assumption Strong-line ratios map monotonically to gas-phase metallicity via the adopted high-redshift calibrations across the full mass and redshift range studied.
Forward citations
Cited by 1 Pith paper
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JADES: the mass-metallicity relation at $z=1-10$. New calibrations, extremely metal-poor galaxies, and chemical diversity
New stack-based strong-line calibrations from ~1500 spectra yield mass-metallicity relations at z=1-10 with decreasing metallicity toward higher redshift and no slope change, plus 50 EMPG candidates at 1-4% solar meta...
Reference graph
Works this paper leans on
-
[1]
Andrews, B. H., & Martini, P. 2013, ApJ, 765, 140, doi: 10.1088/0004-637X/765/2/140
-
[2]
Asplund, M., Amarsi, A. M., & Grevesse, N. 2021, A&A, 653, A141, doi: 10.1051/0004-6361/202140445
work page internal anchor Pith review doi:10.1051/0004-6361/202140445 2021
-
[3]
Bian, F., Kewley, L. J., & Dopita, M. A. 2018, ApJ, 859, 175, doi: 10.3847/1538-4357/aabd74
-
[4]
Bunker, A. J., Cameron, A. J., Curtis-Lake, E., et al. 2024, A&A, 690, A288, doi: 10.1051/0004-6361/202347094
-
[5]
Byler, N., Dalcanton, J. J., Conroy, C., & Johnson, B. D. 2017, ApJ, 840, 44, doi: 10.3847/1538-4357/aa6c66
-
[6]
The Dust Content and Opacity of Actively Star-Forming Galaxies
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
-
[7]
Cardelli, J. A., Clayton, G. C., & Mathis, J. S. 1989, ApJ, 345, 245, doi: 10.1086/167900
-
[8]
Carnall, A. C. 2017, arXiv e-prints, arXiv:1705.05165, doi: 10.48550/arXiv.1705.05165
work page internal anchor Pith review Pith/arXiv arXiv doi:10.48550/arxiv.1705.05165 2017
-
[9]
2003, Publications of the Astronomical Society of the Pacific, 115, 763, doi: 10.1086/376392
Chabrier, G. 2003, PASP, 115, 763, doi: 10.1086/376392
work page internal anchor Pith review doi:10.1086/376392 2003
-
[10]
2025, ApJ, 985, 24, doi: 10.3847/1538-4357/adc7b5
Chakraborty, P., Sarkar, A., Smith, R., et al. 2025, ApJ, 985, 24, doi: 10.3847/1538-4357/adc7b5
-
[11]
2024, ApJL, 976, L15, doi: 10.3847/2041-8213/ad8dc9
Chemerynska, I., Atek, H., Dayal, P., et al. 2024, ApJL, 976, L15, doi: 10.3847/2041-8213/ad8dc9
-
[12]
2016, ApJ, 823, 102, doi: 10.3847/0004-637X/823/2/102 de Laverny, P., Recio-Blanco, A., Worley, C
Choi, J., Dotter, A., Conroy, C., et al. 2016, ApJ, 823, 102, doi: 10.3847/0004-637X/823/2/102
work page internal anchor Pith review doi:10.3847/0004-637x/823/2/102 2016
-
[13]
Clarke, L., Lam, N., Shapley, A. E., et al. 2026, ApJL, 1002, L15, doi: 10.3847/2041-8213/ae57a6
-
[14]
Clarke, L., Shapley, A. E., Lam, N., et al. 2025, arXiv e-prints, arXiv:2510.06681, doi: 10.48550/arXiv.2510.06681
-
[15]
W., Papovich, C., Finkelstein, S
Cole, J. W., Papovich, C., Finkelstein, S. L., et al. 2025, ApJ, 979, 193, doi: 10.3847/1538-4357/ad9a6a
-
[16]
Conroy, C., & Gunn, J. E. 2010, ApJ, 712, 833, doi: 10.1088/0004-637X/712/2/833 22
work page internal anchor Pith review doi:10.1088/0004-637x/712/2/833 2010
-
[17]
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
-
[18]
2017, MNRAS, 465, 1384, doi: 10.1093/mnras/stw2766
Curti, M., Cresci, G., Mannucci, F., et al. 2017, MNRAS, 465, 1384, doi: 10.1093/mnras/stw2766
-
[19]
2020, MNRAS, 491, 944, doi: 10.1093/mnras/stz2910
Curti, M., Mannucci, F., Cresci, G., & Maiolino, R. 2020, MNRAS, 491, 944, doi: 10.1093/mnras/stz2910
-
[20]
Curti, M., Maiolino, R., Curtis-Lake, E., et al. 2024, A&A, 684, A75, doi: 10.1051/0004-6361/202346698 Dav´ e, R., Angl´ es-Alc´ azar, D., Narayanan, D., et al. 2019, MNRAS, 486, 2827, doi: 10.1093/mnras/stz937 Dav´ e, R., Finlator, K., & Oppenheimer, B. D. 2012, MNRAS, 421, 98, doi: 10.1111/j.1365-2966.2011.20148.x Dav´ e, R., Rafieferantsoa, M. H., Thom...
-
[21]
Hopkins, P. F. 2017a, MNRAS, 467, 115, doi: 10.1093/mnras/stx108 —. 2017b, MNRAS, 467, 115, doi: 10.1093/mnras/stx108 de Graaff, A., Brammer, G., Weibel, A., et al. 2025, A&A, 697, A189, doi: 10.1051/0004-6361/202452186 D’Eugenio, F., Cameron, A. J., Scholtz, J., et al. 2025, ApJS, 277, 4, doi: 10.3847/1538-4365/ada148
-
[22]
Dopita, M. A., Kewley, L. J., Sutherland, R. S., & Nicholls, D. C. 2016, Ap&SS, 361, 61, doi: 10.1007/s10509-016-2657-8
-
[23]
Overview of the JWST Advanced Deep Extragalactic Survey (JADES)
Eisenstein, D. J., Willott, C., Alberts, S., et al. 2023a, arXiv e-prints, arXiv:2306.02465, doi: 10.48550/arXiv.2306.02465
work page internal anchor Pith review Pith/arXiv arXiv doi:10.48550/arxiv.2306.02465
-
[24]
Eisenstein, D. J., Johnson, B. D., Robertson, B., et al. 2023b, arXiv e-prints, arXiv:2310.12340, doi: 10.48550/arXiv.2310.12340 Faucher-Gigu` ere, C.-A. 2018, MNRAS, 473, 3717, doi: 10.1093/mnras/stx2595
-
[25]
Ferland, G. J., Porter, R. L., van Hoof, P. A. M., et al. 2013, RMxAA, 49, 137, doi: 10.48550/arXiv.1302.4485
work page internal anchor Pith review Pith/arXiv arXiv doi:10.48550/arxiv.1302.4485 2013
-
[26]
M., Torrey, P., Ellison, S., et al
Garcia, A. M., Torrey, P., Ellison, S., et al. 2024, MNRAS, 531, 1398, doi: 10.1093/mnras/stae1252
-
[27]
Garcia, A. M., Torrey, P., Ellison, S. L., et al. 2025, MNRAS, 536, 119, doi: 10.1093/mnras/stae2587
-
[28]
Gordon, K. D., Clayton, G. C., Misselt, K. A., Landolt, A. U., & Wolff, M. J. 2003, ApJ, 594, 279, doi: 10.1086/376774
-
[29]
Hao, C.-N., Kennicutt, R. C., Johnson, B. D., et al. 2011, ApJ, 741, 124, doi: 10.1088/0004-637X/741/2/124
-
[30]
Hayward, C. C., & Hopkins, P. F. 2017, MNRAS, 465, 1682, doi: 10.1093/mnras/stw2888
-
[31]
2024, ApJL, 960, L13, doi: 10.3847/2041-8213/ad12cd
He, X., Wang, X., Jones, T., et al. 2024, ApJL, 960, L13, doi: 10.3847/2041-8213/ad12cd
-
[32]
Heintz, K. E., Brammer, G. B., Watson, D., et al. 2025, A&A, 693, A60, doi: 10.1051/0004-6361/202450243
-
[33]
Hsiao, T. Y.-Y., Chisholm, J., Berg, D. A., et al. 2026, arXiv e-prints, arXiv:2605.06770. https://arxiv.org/abs/2605.06770
Pith/arXiv arXiv 2026
-
[34]
Illingworth, G. D., Magee, D., Oesch, P. A., et al. 2013, ApJS, 209, 6, doi: 10.1088/0067-0049/209/1/6
-
[35]
Thuan, T. X. 2006, A&A, 448, 955, doi: 10.1051/0004-6361:20053763
-
[36]
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
-
[37]
Karthikeyan, S., Clarke, L., Shapley, A. E., et al. 2026, arXiv e-prints, arXiv:2603.11338, doi: 10.48550/arXiv.2603.11338
-
[38]
Kelly, B. C. 2007, ApJ, 665, 1489, doi: 10.1086/519947
-
[39]
Kewley, L. J., & Dopita, M. A. 2002, ApJS, 142, 35, doi: 10.1086/341326
-
[40]
Kewley, L. J., Nicholls, D. C., & Sutherland, R. S. 2019, ARA&A, 57, 511, doi: 10.1146/annurev-astro-081817-051832
-
[41]
Khostovan, A. A., Sanders, R. L., Shapley, A. E., et al. 2025, arXiv e-prints, arXiv:2512.16989, doi: 10.48550/arXiv.2512.16989 Korhonen Cuestas, N. A., Strom, A. L., Miller, T. B., et al. 2025, ApJ, 984, 188, doi: 10.3847/1538-4357/adc5f7
-
[42]
2026, A&A, 706, A165, doi: 10.1051/0004-6361/202556597
Kotiwale, G., Matthee, J., Kashino, D., et al. 2026, A&A, 706, A165, doi: 10.1051/0004-6361/202556597
-
[43]
Laseter, I. H., Maseda, M. V., Bunker, A. J., et al. 2025, arXiv e-prints, arXiv:2510.15024, doi: 10.48550/arXiv.2510.15024
-
[44]
Speagle, J. S. 2019, ApJ, 876, 3, doi: 10.3847/1538-4357/ab133c
work page internal anchor Pith review doi:10.3847/1538-4357/ab133c 2019
-
[45]
1979, A&A, 80, 155
Torres-Peimbert, S. 1979, A&A, 80, 155
1979
-
[46]
Lewis, Z., Maseda, M. V., de Graaff, A., et al. 2025, arXiv e-prints, arXiv:2512.03134, doi: 10.48550/arXiv.2512.03134
-
[47]
2023, ApJL, 955, L18, doi: 10.3847/2041-8213/acf470
Li, M., Cai, Z., Bian, F., et al. 2023, ApJL, 955, L18, doi: 10.3847/2041-8213/acf470
-
[48]
2025, A&A, 703, A106, doi: 10.1051/0004-6361/202555372
Li, Z., Kakiichi, K., Christensen, L., et al. 2025, A&A, 703, A106, doi: 10.1051/0004-6361/202555372
-
[49]
Luridiana, V., Morisset, C., & Shaw, R. A. 2015, A&A, 573, A42, doi: 10.1051/0004-6361/201323152
-
[50]
Gnerucci, A. 2010, MNRAS, 408, 2115, doi: 10.1111/j.1365-2966.2010.17291.x
-
[51]
Marszewski, A., Sun, G., Faucher-Gigu` ere, C.-A., Hayward, C. C., & Feldmann, R. 2024, ApJL, 967, L41, doi: 10.3847/2041-8213/ad4cee 23
-
[52]
2014, ApJ, 785, 153, doi: 10.1088/0004-637X/785/2/153
Masters, D., McCarthy, P., Siana, B., et al. 2014, ApJ, 785, 153, doi: 10.1088/0004-637X/785/2/153
-
[53]
2026, MNRAS, 548, stag016, doi: 10.1093/mnras/stag016
McClymont, W., Tacchella, S., Smith, A., et al. 2026, MNRAS, 548, stag016, doi: 10.1093/mnras/stag016
-
[54]
2023, ApJS, 269, 33, doi: 10.3847/1538-4365/acd556
Nakajima, K., Ouchi, M., Isobe, Y., et al. 2023, ApJS, 269, 33, doi: 10.3847/1538-4365/acd556
-
[55]
2022, ApJS, 262, 3, doi: 10.3847/1538-4365/ac7710
Nakajima, K., Ouchi, M., Xu, Y., et al. 2022, ApJS, 262, 3, doi: 10.3847/1538-4365/ac7710
-
[56]
2019, Computational Astrophysics and Cosmology, 6, 2, doi: 10.1186/s40668-019-0028-x
Nelson, D., Springel, V., Pillepich, A., et al. 2019, Computational Astrophysics and Cosmology, 6, 2, doi: 10.1186/s40668-019-0028-x
-
[57]
2025, arXiv e-prints, arXiv:2512.12983, doi: 10.48550/arXiv.2512.12983
Nishigaki, M., Nakajima, K., Ouchi, M., et al. 2025, arXiv e-prints, arXiv:2512.12983, doi: 10.48550/arXiv.2512.12983
-
[58]
2023, The JWST FRESCO Survey, STScI/MAST, doi: 10.17909/GDYC-7G80
Oesch, P., & Magee, D. 2023, The JWST FRESCO Survey, STScI/MAST, doi: 10.17909/GDYC-7G80
-
[59]
Oesch, P. A., Brammer, G., Naidu, R. P., et al. 2023, MNRAS, 525, 2864, doi: 10.1093/mnras/stad2411
-
[60]
E., & Ferland, G
Osterbrock, D. E., & Ferland, G. J. 2006, Astrophysics of gaseous nebulae and active galactic nuclei
2006
-
[61]
2025, A&A, 699, A6, doi: 10.1051/0004-6361/202451742
Pallottini, A., Ferrara, A., Gallerani, S., et al. 2025, A&A, 699, A6, doi: 10.1051/0004-6361/202451742
-
[62]
1967, ApJ, 150, 825, doi: 10.1086/149385
Peimbert, M. 1967, ApJ, 150, 825, doi: 10.1086/149385
-
[63]
Peng, Y.-j., & Maiolino, R. 2014, MNRAS, 443, 3643, doi: 10.1093/mnras/stu1288 P´ erez-Montero, E. 2017, PASP, 129, 043001, doi: 10.1088/1538-3873/aa5abb
-
[64]
Perry, M. N., Taylor, A. J., Ch´ avez Ortiz,´O. A., et al. 2025, ApJ, 994, 14, doi: 10.3847/1538-4357/ae102f
-
[65]
Pettini, M., & Pagel, B. E. J. 2004, MNRAS, 348, L59, doi: 10.1111/j.1365-2966.2004.07591.x
-
[66]
L., Gottumukkala, R., Heintz, K
Pollock, C. L., Gottumukkala, R., Heintz, K. E., et al. 2026, A&A, 708, A203, doi: 10.1051/0004-6361/202556032
-
[67]
Reddy, N. A., Topping, M. W., Shapley, A. E., et al. 2022, ApJ, 926, 31, doi: 10.3847/1538-4357/ac3b4c
-
[68]
Rieke, M., Robertson, B., Tacchella, S., et al. 2023a, Data from the JWST Advanced Deep Extragalactic Survey (JADES), STScI/MAST, doi: 10.17909/8TDJ-8N28
-
[69]
J., Robertson, B., Tacchella, S., et al
Rieke, M. J., Robertson, B., Tacchella, S., et al. 2023b, ApJS, 269, 16, doi: 10.3847/1538-4365/acf44d
-
[70]
Robertson, B., Johnson, B. D., Tacchella, S., et al. 2024, ApJ, 970, 31, doi: 10.3847/1538-4357/ad463d
-
[71]
Runco, J. N., Shapley, A. E., Sanders, R. L., et al. 2021a, MNRAS, 502, 2600, doi: 10.1093/mnras/stab119 —. 2021b, MNRAS, 502, 2600, doi: 10.1093/mnras/stab119 S´ anchez-Bl´ azquez, P., Peletier, R. F., Jim´ enez-Vicente, J., et al. 2006, MNRAS, 371, 703, doi: 10.1111/j.1365-2966.2006.10699.x
-
[72]
Sanders, R. L., Shapley, A. E., Kriek, M., et al. 2018, ApJ, 858, 99, doi: 10.3847/1538-4357/aabcbd
-
[73]
Sanders, R. L., Shapley, A. E., Reddy, N. A., et al. 2020, MNRAS, 491, 1427, doi: 10.1093/mnras/stz3032
-
[74]
Sanders, R. L., Shapley, A. E., Jones, T., et al. 2021, ApJ, 914, 19, doi: 10.3847/1538-4357/abf4c1
-
[75]
Sanders, R. L., Shapley, A. E., Topping, M. W., et al. 2025, arXiv e-prints, arXiv:2508.10099, doi: 10.48550/arXiv.2508.10099
work page internal anchor Pith review Pith/arXiv arXiv doi:10.48550/arxiv.2508.10099 2025
-
[76]
2025, ApJ, 978, 136, doi: 10.3847/1538-4357/ad8f32
Sarkar, A., Chakraborty, P., Vogelsberger, M., et al. 2025, ApJ, 978, 136, doi: 10.3847/1538-4357/ad8f32
-
[77]
Schaye, J., Crain, R. A., Bower, R. G., et al. 2015, MNRAS, 446, 521, doi: 10.1093/mnras/stu2058
-
[78]
Shapley, A. E., Reddy, N. A., Kriek, M., et al. 2015, ApJ, 801, 88, doi: 10.1088/0004-637X/801/2/88
-
[79]
2024, MNRAS, 535, 2998, doi: 10.1093/mnras/stae2537
Simmonds, C., Tacchella, S., Hainline, K., et al. 2024, MNRAS, 535, 2998, doi: 10.1093/mnras/stae2537
-
[80]
2025, MNRAS, 544, 4551, doi: 10.1093/mnras/staf1950
Simmonds, C., Tacchella, S., McClymont, W., et al. 2025, MNRAS, 544, 4551, doi: 10.1093/mnras/staf1950
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