Galaxy Metallicity Gradients in the Reionization Epoch from the FIRE-2 Simulations
Pith reviewed 2026-05-18 08:36 UTC · model grok-4.3
The pith
Simulations show reionization-era galaxies have negative metallicity gradients that flatten from z=10 to z=6.
A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.
Core claim
In the high-redshift FIRE-2 suite, galaxies at z~10 display a median gas-phase metallicity gradient of -0.15 dex kpc^{-1} with large scatter that gradually flattens to -0.1 dex kpc^{-1} at z~6 with reduced scatter. At fixed stellar mass the gradients correlate positively with stellar mass and with the ratio Δv/2σ, while they anticorrelate with specific star-formation rate; galaxies with steeper gradients also show higher central star-formation-rate surface densities. Because the simulated systems lack strong rotational support, Δv/2σ is adopted as a proxy for gas-flow strength, linking weaker flows to steeper gradients and therefore to more localized, inefficiently mixed star formation that,
What carries the argument
The radial slope of gas-phase metallicity (dex kpc^{-1}) and its correlation with the kinematic ratio Δv/2σ used as a proxy for the strength of gas flows in dispersion-dominated systems.
If this is right
- More massive galaxies in the epoch of reionization exhibit flatter metallicity gradients and smaller scatter around the median relation.
- At fixed stellar mass, systems with elevated star-formation rates develop steeper negative gradients.
- Lower values of Δv/2σ, interpreted as weaker gas flows, correspond to steeper gradients and therefore more inside-out enrichment.
- Galaxies with the steepest gradients also maintain the highest central star-formation-rate surface densities.
Where Pith is reading between the lines
- If the simulated trends are realized in nature, resolved JWST spectroscopy should recover a clear stellar-mass dependence in metallicity gradients at z greater than 6.
- The same inside-out enrichment picture may explain abundance variations observed in even higher-redshift systems once comparable data become available.
- Direct kinematic maps that independently constrain gas-flow velocities would provide an external test of whether Δv/2σ continues to serve as a useful proxy.
Load-bearing premise
That the ratio of peak-to-peak velocity shear to twice the velocity dispersion reliably tracks the strength of gas flows inside these early, dispersion-supported galaxies.
What would settle it
A JWST sample of z~8-10 galaxies in which metallicity gradient slope shows no statistical dependence on measured Δv/2σ or on central star-formation surface density would directly contradict the reported correlations.
Figures
read the original abstract
We employ the high-redshift suite of FIRE-2 cosmological hydrodynamic zoom-in simulations to investigate the evolution of gas-phase metallicity radial gradients in galaxies in the epoch of reionization (EoR). Our sample consists of 22 galaxies spanning the redshift range $z \sim 10-5$. We find that galaxies at $z\sim10$ exhibit a median metallicity gradient of $-0.15\,\mathrm{dex\cdot kpc^{-1}}$ with substantial scatter, which gradually flatten to $-0.1\,\mathrm{dex\cdot kpc^{-1}}$ at $z\sim6$, accompanied by a reduction in scatter. In the EoR, metallicity gradients correlate positively with stellar mass: more massive galaxies display flatter gradients with smaller scatter, broadly consistent with recent JWST observations. At fixed stellar mass, galaxies with higher star formation rates (SFRs) exhibit steeper negative gradients, while sSFR shows a strong anti-correlation with gradient slope. Because EoR galaxies in FIRE-2 generally lack significant rotational support, we adopt the ratio of peak-to-peak velocity shear to twice the velocity dispersion ($\Delta v/2\sigma$) as a proxy for the strength of gas flows. We find a strong positive correlation between metallicity gradients and $\Delta v/2\sigma$: galaxies with lower $\Delta v/2\sigma$ (i.e., weaker gas flows) tend to exhibit steeper negative gradients. Furthermore, galaxies with steeper gradients display higher central SFR surface densities, suggesting localized star formation with inefficient interstellar medium mixing that drives inside-out chemical enrichment in galaxy evolution in the early Universe.
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. The paper analyzes gas-phase metallicity radial gradients in a sample of 22 galaxies drawn from the FIRE-2 cosmological zoom-in simulations over z ≈ 5–10. It reports a median gradient of −0.15 dex kpc⁻¹ at z ∼ 10 that flattens to −0.1 dex kpc⁻¹ at z ∼ 6, with positive correlations to stellar mass and Δv/2σ (adopted as a proxy for gas-flow strength) and an anti-correlation with sSFR; steeper gradients are further linked to higher central SFR surface densities, supporting an inside-out enrichment picture driven by localized star formation and inefficient mixing.
Significance. If the reported trends hold, the work supplies simulation-based forecasts for metallicity gradients in the reionization epoch that can be directly compared with JWST observations. The use of an established, publicly documented simulation suite (FIRE-2) and the modest but well-defined sample of 22 galaxies constitute clear strengths; the results are falsifiable predictions rather than post-hoc fits to observational data.
major comments (2)
- [Results (Δv/2σ correlation paragraph)] Results section (discussion of Δv/2σ correlation): the claim that lower Δv/2σ indicates weaker gas flows and therefore steeper gradients rests on an untested assumption. In dispersion-dominated EoR galaxies, peak-to-peak velocity shear can arise from random turbulent motions, minor mergers, or projection effects rather than net radial inflows/outflows; no comparison to simulated gas-particle trajectories or mass-flux measurements is presented to validate the proxy.
- [Methods / Sample selection] Sample and measurement description: the precise radial range, weighting (mass- or luminosity-weighted), and error estimation used to derive the metallicity gradients are not stated with sufficient quantitative detail to allow independent reproduction or assessment of systematic uncertainties in the reported median values and scatter.
minor comments (2)
- [Figures] Figure captions should explicitly state the radial fitting range and any aperture corrections applied to the gradients.
- [Text] Notation: the symbol Δv is introduced without a clear definition of how the peak-to-peak shear is measured (e.g., from the rotation curve or from the velocity field).
Simulated Author's Rebuttal
We thank the referee for their constructive and detailed review. The comments have identified areas where additional clarity will strengthen the manuscript. We respond point by point below and have prepared revisions to address both major concerns.
read point-by-point responses
-
Referee: [Results (Δv/2σ correlation paragraph)] Results section (discussion of Δv/2σ correlation): the claim that lower Δv/2σ indicates weaker gas flows and therefore steeper gradients rests on an untested assumption. In dispersion-dominated EoR galaxies, peak-to-peak velocity shear can arise from random turbulent motions, minor mergers, or projection effects rather than net radial inflows/outflows; no comparison to simulated gas-particle trajectories or mass-flux measurements is presented to validate the proxy.
Authors: We agree that Δv/2σ functions as a proxy rather than a direct tracer of net radial gas flows, and that velocity shear in dispersion-supported systems can originate from turbulence, minor mergers, or projection. Our choice of this metric is motivated by prior FIRE-2 results showing that EoR galaxies lack significant rotational support. The reported correlations with central SFR surface density and the inside-out enrichment picture provide supporting context within the simulation. To address the referee’s concern, the revised manuscript will include an expanded discussion explicitly acknowledging these limitations and stating that direct particle-trajectory or mass-flux validation lies beyond the scope of the present study. revision: yes
-
Referee: [Methods / Sample selection] Sample and measurement description: the precise radial range, weighting (mass- or luminosity-weighted), and error estimation used to derive the metallicity gradients are not stated with sufficient quantitative detail to allow independent reproduction or assessment of systematic uncertainties in the reported median values and scatter.
Authors: We acknowledge that the current text lacks the quantitative detail required for full reproducibility. In the revised manuscript we will add a dedicated methods subsection that specifies the exact radial range used for the linear fits, whether the metallicity profiles are mass-weighted or luminosity-weighted, and the procedure employed for uncertainty estimation (including any bootstrapping or least-squares fitting errors). These additions will allow readers to assess systematic uncertainties in the reported median gradients and scatter. revision: yes
Circularity Check
Direct measurements from FIRE-2 simulation outputs show no circularity
full rationale
The paper reports direct post-processing measurements of gas-phase metallicity gradients and their correlations with stellar mass, SFR, sSFR, and Δv/2σ from the outputs of 22 FIRE-2 zoom-in galaxies at z~10-5. No equations or derivations reduce the reported median gradient values (-0.15 dex kpc^{-1} at z~10 flattening to -0.1 at z~6) or the observed correlations to quantities fitted against the target results themselves. The choice to adopt Δv/2σ as a flow proxy follows from the simulation finding of limited rotational support and is an interpretive step rather than a self-definitional or fitted-input reduction. The analysis chain is self-contained against the simulation snapshots and does not rely on load-bearing self-citations or ansatzes that collapse the central claims back to the inputs by construction.
Axiom & Free-Parameter Ledger
axioms (1)
- domain assumption FIRE-2 hydrodynamic zoom-in simulations accurately capture the relevant physics of gas flows, star formation, and chemical enrichment in EoR galaxies.
Forward citations
Cited by 1 Pith paper
-
Radial redistribution of stellar orbits in FIRE simulations of Milky-Way-mass galaxies
FIRE-2 simulations show that stellar radial redistribution scatter saturates at ~2 kpc for stars older than ~3 Gyr, with net orbital changes depending on age and current radius, broadly matching Milky Way observations.
Reference graph
Works this paper leans on
-
[1]
Acharyya, A., Peeples, M. S., Tumlinson, J., et al. 2024, arXiv e-prints, arXiv:2404.06613, doi: 10.48550/arXiv.2404.06613
-
[2]
2005, ApJL, 620, L13, doi: 10.1086/428498
Aguirre, A., Schaye, J., Hernquist, L., et al. 2005, ApJL, 620, L13, doi: 10.1086/428498
-
[3]
Andalman, Z. L., Teyssier, R., & Dekel, A. 2025, MNRAS, 540, 3350, doi: 10.1093/mnras/staf930
-
[4]
Andrews, B. H., & Martini, P. 2013, ApJ, 765, 140, doi: 10.1088/0004-637X/765/2/140
-
[5]
2024, A&A, 688, A146, doi: 10.1051/0004-6361/202348824
Arribas, S., Perna, M., Rodr´ ıguez Del Pino, B., et al. 2024, A&A, 688, A146, doi: 10.1051/0004-6361/202348824
-
[6]
Baker, W. M., Tacchella, S., Johnson, B. D., et al. 2025, Nature Astronomy, 9, 141, doi: 10.1038/s41550-024-02384-8
-
[7]
2023, MNRAS, 525, 5388, doi: 10.1093/mnras/stad2617
Bassini, L., Feldmann, R., Gensior, J., et al. 2023, MNRAS, 525, 5388, doi: 10.1093/mnras/stad2617
-
[8]
Bellardini, M. A., Wetzel, A., Loebman, S. R., & Bailin, J. 2022, MNRAS, 514, 4270, doi: 10.1093/mnras/stac1637
-
[9]
Bellardini, M. A., Wetzel, A., Loebman, S. R., et al. 2021, MNRAS, 505, 4586, doi: 10.1093/mnras/stab1606
-
[10]
S., Maiolino, R., Kennicutt, R., et al
Bothwell, M. S., Maiolino, R., Kennicutt, R., et al. 2013, MNRAS, 433, 1425, doi: 10.1093/mnras/stt817
-
[11]
Broadhurst, T. J., & Franx, M. 2004, ApJL, 611, L1, doi: 10.1086/423786
-
[12]
2018, MNRAS, 478, 4293, doi: 10.1093/mnras/sty1343
Carton, D., Brinchmann, J., Contini, T., et al. 2018, MNRAS, 478, 4293, doi: 10.1093/mnras/sty1343
-
[13]
2024, MNRAS, 532, 4340, doi: 10.1093/mnras/stae1757 —
Chen, Y., Mo, H., & Wang, H. 2024, MNRAS, 532, 4340, doi: 10.1093/mnras/stae1757 —. 2025, MNRAS, 540, 1235, doi: 10.1093/mnras/staf791
-
[14]
Cortijo-Ferrero, C., Gonz´ alez Delgado, R. M., P´ erez, E., et al. 2017, A&A, 607, A70, doi: 10.1051/0004-6361/201731217
-
[15]
2010, Nature, 467, 811, doi: 10.1038/nature09451
Cresci, G., Mannucci, F., Maiolino, R., et al. 2010, Nature, 467, 811, doi: 10.1038/nature09451
-
[16]
2024, A&A, 684, A75, doi: 10.1051/0004-6361/202346698
Curti, M., Maiolino, R., Curtis-Lake, E., et al. 2024, A&A, 684, A75, doi: 10.1051/0004-6361/202346698
-
[17]
Ellison, S. L., Mendel, J. T., Patton, D. R., & Scudder, J. M. 2013, MNRAS, 435, 3627, doi: 10.1093/mnras/stt1562
-
[18]
Erb, D. K., Shapley, A. E., Pettini, M., et al. 2006, ApJ, 644, 813, doi: 10.1086/503623
-
[19]
Escala, I., Wetzel, A., Kirby, E. N., et al. 2018, MNRAS, 474, 2194, doi: 10.1093/mnras/stx2858
-
[20]
Ferreira, L., Adams, N., Conselice, C. J., et al. 2022, ApJL, 938, L2, doi: 10.3847/2041-8213/ac947c
-
[21]
Fitts, A., Boylan-Kolchin, M., Elbert, O. D., et al. 2017, MNRAS, 471, 3547, doi: 10.1093/mnras/stx1757
-
[22]
Gallazzi, A., Charlot, S., Brinchmann, J., White, S. D. M., & Tremonti, C. A. 2005, MNRAS, 362, 41, doi: 10.1111/j.1365-2966.2005.09321.x
-
[23]
M., Torrey, P., Bhagwat, A., et al
Garcia, A. M., Torrey, P., Bhagwat, A., et al. 2025, arXiv e-prints, arXiv:2503.03804, doi: 10.48550/arXiv.2503.03804
-
[24]
Gibson, B. K., Pilkington, K., Brook, C. B., Stinson, G. S., & Bailin, J. 2013, A&A, 554, A47, doi: 10.1051/0004-6361/201321239
-
[25]
Girard, M., Mason, C. A., Fontana, A., et al. 2020, MNRAS, 497, 173, doi: 10.1093/mnras/staa1907
-
[26]
Gottumukkala, R., Barrufet, L., Oesch, P. A., et al. 2024, MNRAS, 530, 966, doi: 10.1093/mnras/stae754
-
[27]
L., Wetzel, A., Bailin, J., & Orr, M
Graf, R. L., Wetzel, A., Bailin, J., & Orr, M. E. 2024, arXiv e-prints, arXiv:2410.21377, doi: 10.48550/arXiv.2410.21377
-
[28]
Graf, R. L., Wetzel, A., Bellardini, M. A., & Bailin, J. 2025, ApJ, 981, 47, doi: 10.3847/1538-4357/adacd7
-
[29]
2023, ApJS, 265, 5, doi: 10.3847/1538-4365/acaaa9
Harikane, Y., Ouchi, M., Oguri, M., et al. 2023, ApJS, 265, 5, doi: 10.3847/1538-4365/acaaa9
-
[30]
2024a, ApJL, 960, L13, doi: 10.3847/2041-8213/ad12cd
He, X., Wang, X., Jones, T., et al. 2024a, ApJL, 960, L13, doi: 10.3847/2041-8213/ad12cd
-
[31]
Physics, Mechanics, and Astronomy, 67, 129512, doi: 10.1007/s11433-024-2475-7
-
[32]
Hemler, Z. S., Torrey, P., Qi, J., et al. 2021, MNRAS, 506, 3024, doi: 10.1093/mnras/stab1803
-
[33]
Hopkins, P. F. 2015, MNRAS, 450, 53, doi: 10.1093/mnras/stv195
-
[34]
Hopkins, P. F., Cox, T. J., Hernquist, L., et al. 2013, MNRAS, 430, 1901, doi: 10.1093/mnras/stt017
-
[35]
F., Wetzel, A., Kereˇ s, D., et al
Hopkins, P. F., Wetzel, A., Kereˇ s, D., et al. 2018, MNRAS, 480, 800, doi: 10.1093/mnras/sty1690
work page internal anchor Pith review doi:10.1093/mnras/sty1690 2018
-
[36]
2025, Nature Astronomy, doi: 10.1038/s41550-025-02636-1
Hu, W., Papovich, C., Shen, L., et al. 2025, Nature Astronomy, doi: 10.1038/s41550-025-02636-1
-
[37]
Jin, B., Ho, L. C., & Sun, W. 2024, arXiv e-prints, arXiv:2412.03455, doi: 10.48550/arXiv.2412.03455
-
[38]
Jones, T., Wang, X., Schmidt, K. B., et al. 2015, AJ, 149, 107, doi: 10.1088/0004-6256/149/3/107
-
[39]
Stark, D. P. 2010, MNRAS, 404, 1247, doi: 10.1111/j.1365-2966.2010.16378.x
-
[40]
2025, ApJL, 978, L39, doi: 10.3847/2041-8213/ada150
Ju, M., Wang, X., Jones, T., et al. 2025, ApJL, 978, L39, doi: 10.3847/2041-8213/ada150
-
[41]
Kassin, S. A., Weiner, B. J., Faber, S. M., et al. 2012, ApJ, 758, 106, doi: 10.1088/0004-637X/758/2/106
-
[42]
2015, ARA&A, 53, 115, doi: 10.1146/annurev-astro-082214-122316 15
King, A., & Pounds, K. 2015, ARA&A, 53, 115, doi: 10.1146/annurev-astro-082214-122316 15
-
[43]
Kirby, E. N., Cohen, J. G., Guhathakurta, P., et al. 2013, ApJ, 779, 102, doi: 10.1088/0004-637X/779/2/102
-
[44]
Knollmann, S. R., & Knebe, A. 2009, ApJS, 182, 608, doi: 10.1088/0067-0049/182/2/608
-
[45]
2024, arXiv e-prints, arXiv:2405.04578, doi: 10.48550/arXiv.2405.04578
Kravtsov, A., & Belokurov, V. 2024, arXiv e-prints, arXiv:2405.04578, doi: 10.48550/arXiv.2405.04578
-
[46]
Kroupa, P. 2001, MNRAS, 322, 231, doi: 10.1046/j.1365-8711.2001.04022.x
-
[47]
Lee, H., Skillman, E. D., Cannon, J. M., et al. 2006, ApJ, 647, 970, doi: 10.1086/505573
-
[48]
Leethochawalit, N., Jones, T. A., Ellis, R. S., et al. 2016, ApJ, 820, 84, doi: 10.3847/0004-637X/820/2/84
-
[49]
Leitherer, C., Schaerer, D., Goldader, J. D., et al. 1999, ApJS, 123, 3, doi: 10.1086/313233
-
[50]
2025a, ApJL, 979, L13, doi: 10.3847/2041-8213/ad9eac
Li, S., Wang, X., Chen, Y., et al. 2025a, ApJL, 979, L13, doi: 10.3847/2041-8213/ad9eac
-
[51]
2025b, A&A, 698, A208, doi: 10.1051/0004-6361/202452978
Li, T., Zhang, H.-X., Lyu, W., et al. 2025b, A&A, 698, A208, doi: 10.1051/0004-6361/202452978
-
[52]
2025c, arXiv e-prints, arXiv:2506.12129, doi: 10.48550/arXiv.2506.12129
Li, Z., Cai, Z., Wang, X., et al. 2025c, arXiv e-prints, arXiv:2506.12129, doi: 10.48550/arXiv.2506.12129
-
[53]
2025, MNRAS, 541, 2304, doi: 10.1093/mnras/staf947
Liang, J., Jiang, F., Mo, H., et al. 2025, MNRAS, 541, 2304, doi: 10.1093/mnras/staf947
-
[54]
2024, ApJ, 966, 236, doi: 10.3847/1538-4357/ad392e
Luo, X., Wang, H., Cui, W., et al. 2024, ApJ, 966, 236, doi: 10.3847/1538-4357/ad392e
-
[55]
2025, ApJL, 981, L6, doi: 10.3847/2041-8213/adb4ed
Lyu, C., Wang, E., Zhang, H., et al. 2025, ApJL, 981, L6, doi: 10.3847/2041-8213/adb4ed
-
[56]
F., Faucher-Gigu` ere, C.-A., et al
Ma, X., Hopkins, P. F., Faucher-Gigu` ere, C.-A., et al. 2016, MNRAS, 456, 2140, doi: 10.1093/mnras/stv2659
-
[57]
Ma, X., Hopkins, P. F., Feldmann, R., et al. 2017, MNRAS, 466, 4780, doi: 10.1093/mnras/stx034
-
[58]
2020, MNRAS, 498, 2001, doi: 10.1093/mnras/staa2404
Ma, X., Quataert, E., Wetzel, A., et al. 2020, MNRAS, 498, 2001, doi: 10.1093/mnras/staa2404
-
[59]
F., Garrison-Kimmel, S., et al
Ma, X., Hopkins, P. F., Garrison-Kimmel, S., et al. 2018a, MNRAS, 478, 1694, doi: 10.1093/mnras/sty1024
-
[60]
Ma, X., Hopkins, P. F., Boylan-Kolchin, M., et al. 2018b, MNRAS, 477, 219, doi: 10.1093/mnras/sty684
-
[61]
Ma, X., Hayward, C. C., Casey, C. M., et al. 2019, MNRAS, 487, 1844, doi: 10.1093/mnras/stz1324
-
[62]
2019, A&A Rv, 27, 3, doi: 10.1007/s00159-018-0112-2
Maiolino, R., & Mannucci, F. 2019, A&A Rv, 27, 3, doi: 10.1007/s00159-018-0112-2
-
[63]
2008, A&A, 488, 463, doi: 10.1051/0004-6361:200809678
Maiolino, R., Nagao, T., Grazian, A., et al. 2008, A&A, 488, 463, doi: 10.1051/0004-6361:200809678
-
[64]
Gnerucci, A. 2010, MNRAS, 408, 2115, doi: 10.1111/j.1365-2966.2010.17291.x
-
[65]
2025, arXiv e-prints, arXiv:2505.22712, doi: 10.48550/arXiv.2505.22712
Sun, G. 2025, arXiv e-prints, arXiv:2505.22712, doi: 10.48550/arXiv.2505.22712
-
[66]
Marszewski, A., Sun, G., Faucher-Gigu` ere, C.-A., Hayward, C. C., & Feldmann, R. 2024, ApJL, 967, L41, doi: 10.3847/2041-8213/ad4cee
-
[67]
2024, MNRAS, 532, 3808, doi: 10.1093/mnras/stae1727
Mo, H., Chen, Y., & Wang, H. 2024, MNRAS, 532, 3808, doi: 10.1093/mnras/stae1727
-
[68]
Mo, H., van den Bosch, F. C., & White, S. 2010, Galaxy Formation and Evolution, doi: 10.1017/CBO9780511807244
-
[69]
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 —. 2024, arXiv e-prints, arXiv:2412.04541, doi: 10.48550/arXiv.2412.04541
-
[70]
2013, ARA&A, 51, 457, doi: 10.1146/annurev-astro-082812-140956
Nomoto, K., Kobayashi, C., & Tominaga, N. 2013, ARA&A, 51, 457, doi: 10.1146/annurev-astro-082812-140956
-
[71]
Orr, M. E., Hayward, C. C., Nelson, E. J., et al. 2017, ApJL, 849, L2, doi: 10.3847/2041-8213/aa8f93
-
[72]
Orr, M. E., Hayward, C. C., Hopkins, P. F., et al. 2018, MNRAS, 478, 3653, doi: 10.1093/mnras/sty1241
-
[73]
E., Burkhart, B., Wetzel, A., et al
Orr, M. E., Burkhart, B., Wetzel, A., et al. 2023, MNRAS, 521, 3708, doi: 10.1093/mnras/stad676
-
[74]
Peng, Y.-C., Wang, J.-M., Zhao, Y., & Ho, L. C. 2025, ApJ, 980, 22, doi: 10.3847/1538-4357/ada275
-
[75]
Porter, L. E., Orr, M. E., Burkhart, B., et al. 2022, MNRAS, 515, 3555, doi: 10.1093/mnras/stac1958
-
[76]
Sanders, R. L., Shapley, A. E., Kriek, M., et al. 2015, ApJ, 799, 138, doi: 10.1088/0004-637X/799/2/138
-
[77]
Sanders, R. L., Shapley, A. E., Jones, T., et al. 2021, ApJ, 914, 19, doi: 10.3847/1538-4357/abf4c1
-
[78]
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
-
[79]
2025, A&A, 697, A175, doi: 10.1051/0004-6361/202348804
Scholtz, J., Maiolino, R., D’Eugenio, F., et al. 2025, A&A, 697, A175, doi: 10.1051/0004-6361/202348804
-
[80]
1971, ApJ, 168, 327, doi: 10.1086/151090
Searle, L. 1971, ApJ, 168, 327, doi: 10.1086/151090
discussion (0)
Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.