REVIEW 3 major objections 4 minor 2 cited by
Low dust mass and high star-formation efficiency at $z>12$ from deep ALMA observations
T0 review · 3 major / 4 minor · reviewed 2026-08-09 · deepseek-v4-flash
Pith's one-line read Two of the most distant known galaxies are dust-poor yet form stars at starburst efficiency.
desk verdict First dust-mass limits at z>12 are credible and useful; the high star-formation-efficiency headline outruns the gas masses. 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 central tool is the Inoue et al. (2020) analytical model, which fixes dust temperature by requiring radiative equilibrium between absorbed starlight plus the cosmic microwave background and re-emitted dust radiation, with a clumpy dust geometry (clumpiness parameter $\log \xi_{\rm cl} = -1.0$) and dust emissivity $\beta=2.0$. The model turns the observed UV luminosity and spatial extent into a predicted relation between $T_{\rm dust}$ and $M_{\rm dust}$; intersecting that relation with the ALMA 3-$\sigma$ flux limits at rest-frame 88 $\mu$m yields the dust mass upper limits. The secondary machinery is the star-formation efficiency, ${\rm SFE} = {\rm SFR}/M_{\rm mol}$, where $M_{\rm mol}$ is approximated by $M_{\rm dyn} - M_*$, with SFR averaged over 10 and 100 Myr from non-parametric JWST star-formation histories.
What would settle it
A detection of dust continuum emission at rest-frame 88 $\mu$m for GHZ2 or GS-z14-0 above the predicted 3-$\sigma$ limits, or an independent measurement of the dust SED peak showing $T_{\rm dust}$ well below 90 K, would overturn the low-dust claim. Likewise, a direct [C II] or CO detection that yields a molecular gas mass large enough to lower the SFE to the main-sequence value would overturn the starburst claim.
Extended reading notes
Core claim
Using the Inoue et al. (2020) analytical model of dust in thermal equilibrium with a clumpy geometry, the authors convert ALMA 3-$\sigma$ upper limits on rest-frame 88 $\mu$m continuum ($10.3\,\mu$Jy for GHZ2 and $14.9\,\mu$Jy for GS-z14-0) into dust mass limits of $\log M_{\rm dust}/M_\odot < 5.0$ and $< 5.3$, respectively. The model predicts dust temperatures above 90 K because the young stellar radiation field is intense and the star-forming regions are compact, which is what makes the limits so tight. Combined with JWST-derived stellar masses and metallicities of roughly 0.1--0.2 $Z_\odot$, these limits place the galaxies below the dust-to-stellar mass ratios of $z=4$--8 galaxies and in tension with models of high dust condensation efficiency in supernova ejecta, while remaining consistent with a short metal-accretion timescale for ISM dust growth. From dynamical masses, the molecular gas mass is estimated, and the ratio of the 10-Myr-averaged SFR to that gas gives efficiencies around $10\,{\rm Gyr}^{-1}$, about 0.5--1 dex above the main-sequence relation. The authors conclude that these $z>12$ UV-bright galaxies are dust-poor and in a starburst phase, likely explained by bursty star formation and weak feedback.
Load-bearing premise
The dust-mass limits would relax by roughly an order of magnitude if the dust were significantly colder than the model's prediction of $T_{\rm dust} > 90\,{\rm K}$, so the low-dust conclusion hinges on the assumed thermal-equilibrium dust temperature.
Editorial extensions
If this is right
- The two galaxies' dust-to-stellar mass ratios fall below the $z=4$--7 trend, implying that dust production at $z>12$ is dominated by supernova ejecta with little ISM grain growth.
- A short metal-accretion timescale ($\tau_{\rm acc} \sim 5$--100 Myr) is favored over a high condensation efficiency, meaning dust in the earliest galaxies builds up mainly after roughly 100 Myr.
- GS-z14-0 requires a dust survival fraction below 20% against supernova reverse shocks, consistent with theoretical destruction rates; a top-heavy IMF would require an even lower survival rate and is disfavored.
- Both galaxies show SFE around $10\,{\rm Gyr}^{-1}$ on 10-Myr timescales, similar to starbursts, suggesting that such bursts are common among UV-bright galaxies at $z>12$ and may explain their overabundance.
Reading between the lines
- If the low-dust, high-SFE pattern holds for a larger sample of $z>12$ galaxies, the JWST UV luminosity function at cosmic dawn would be systematically boosted by bursty star formation, and the dust masses in these systems would be a poor tracer of their past star formation.
- The tightness of the dust limits depends on the clumpy-geometry assumption; a more diffuse dust distribution would lower $T_{\rm dust}$ and weaken the limits, so a direct measurement of the dust SED peak in these galaxies would arbitrate between the model geometry and a colder-dust scenario.
- A [C II] or CO detection would directly measure the molecular gas mass in these two galaxies, testing whether the high SFE is genuine or an artifact of the $M_{\rm dyn}-M_*$ gas-mass approximation.
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. This paper presents ALMA Band-6/8 continuum non-detections for two of the highest-redshift spectroscopically confirmed galaxies, GHZ2 (z=12.33) and GS-z14-0 (z=14.18), and combines them with JWST-derived stellar masses, metallicities, and star-formation histories. Using the Inoue et al. (2020) radiative-equilibrium clumpy-dust model, the authors convert the non-detections into 3-sigma upper limits of log Mdust/Msun < 5.0 and < 5.3. They then use Mgas = Mdyn - M* to estimate gas masses and compare D/G with dust-growth models, and compute SFE = SFR/Mgas, reporting SFE_10Myr ~ 10 Gyr^-1, which they interpret as evidence that z>12 UV-bright galaxies are in a starburst phase with higher efficiency than main-sequence galaxies.
Significance. The ALMA non-detections are valuable: they provide some of the first direct dust continuum constraints at z>12, and the paper is unusually transparent about the modeling assumptions, explicitly showing the T_dust = 50 K alternative and citing the f_gas range as a limiting factor. The dust-production model comparison and the discussion of SN reverse-shock dust destruction are useful. The limiting element is that the 'high star-formation efficiency' claim rests on gas masses that the paper itself shows are unconstrained; as presented, the SFE result is an interpretation at the optimistic end of a wide range rather than a measured property. With appropriate rewording, the paper would be a solid observational contribution.
major comments (3)
- [Sec. 4.2 / Fig. 5] The headline SFE claim is not supported by the paper's own uncertainty budget. The text states that the f_gas = 0.1-0.9 range 'prevents imposing any meaningful constraints on the SFE,' and the shaded regions in Figure 5 show the SFE spanning roughly an order of magnitude. Concretely, for GS-z14-0 at f_gas = 0.9, Mgas ~ 6 x 10^9 Msun gives SFE_10Myr ~ 1.6 Gyr^-1, consistent with the main-sequence locus; for GHZ2, replacing SFR_10Myr with SFR_100Myr lowers SFE from ~15 to ~2 Gyr^-1. No CO or [CII] gas mass is available, so the value ~10 Gyr^-1 quoted in the abstract and title is the high end of a wide, poorly constrained range, not a measurement. In addition, the comparison with ALPINE/REBELS is inhomogeneous because those samples use SFRs averaged over ~100 Myr, whereas the headline SFE uses a 10 Myr averaging timescale. I recommend rewording the abstract and title to present the high SFE as conditional on f_gas ~ 0.3 and SFR_10Myr, or moving it to a discussion scenario.
- [Sec. 3.2 / Fig. 2 / Table 1] The dust mass upper limits inherit a strong model assumption: the I20 model with log xi_cl = -1, beta_dust = 2, and radiative equilibrium gives T_dust > 90 K, which is what makes log Mdust/Msun < 5.0 and < 5.3 tight. As the authors show, assuming T_dust = 50 K instead loosens the limits by roughly an order of magnitude. The abstract reports the tighter values without this qualification. Because the title's 'low dust mass' claim depends on this model, the abstract should either state the assumed T_dust/model explicitly or report the T_dust = 50 K case alongside; otherwise readers may mistake a model-dependent upper limit for a direct observational constraint.
- [Sec. 4.2, last paragraph] The assertion that the adopted molecular gas fraction does not affect the conclusion addresses only the conversion from total gas to molecular gas for a fixed total gas mass, not the f_gas uncertainty used to define the shaded regions in Figure 5. Since f_gas = 0.1-0.9 changes the inferred gas mass by an order of magnitude and is explicitly acknowledged to prevent meaningful SFE constraints, the sentence 'Therefore, the adopted molecular gas fraction does not affect our conclusion' is not a valid response to the main caveat. This logical gap is part of the reason the SFE claim is overstated relative to the data.
minor comments (4)
- [Sec. 3.1] The phrase 'we require uniform noise distribution within a field of view' should be 'we require a uniform noise distribution across the field of view.'
- [Sec. 4.1 / Sec. 4.2] There are small typographical errors: 'caluclation' in Sec. 4.1 and 'SFH10Myr' where 'SFE10Myr' is meant in Sec. 4.2.
- [Fig. 2 caption] The caption states that the dust mass constraints 'do not agree with the observed AV values,' which is confusing given that Sec. 3.2 says the limits agree well with the expected AV under the clumpy geometry; please clarify what comparison is intended.
- [Sec. 4.2] The text says 'we assume the ISM is dominated by the molecular gas (Mgas ~ Mmol),' but the f_gas = 0.1-0.9 calculations are also labeled Mgas; please define consistently whether SFE uses Mgas or Mmol, since the logical distinction matters for the caveats.
Circularity Check
No significant circularity: the dust-mass limits come from a fixed literature model applied to ALMA non-detections, and the SFE caveat is explicitly acknowledged in the paper.
full rationale
The derivation chain is not circular. The dust-mass upper limits (log Mdust/Msun < 5.0 and < 5.3) are obtained by applying the Inoue et al. (2020, I20) thermal-equilibrium model with fixed assumptions (clumpy geometry, log xi_cl = -1.0, beta_dust = 2.0, kappa values) to the ALMA continuum non-detections and the NIRCam size. No parameter is fitted to these two galaxies and then relabeled a prediction; the Tdust = 50 K alternative is shown to weaken the limits by about an order of magnitude, confirming that the tight limits come from a stated model assumption rather than a hidden identity. The star-formation efficiencies are formed from JWST-derived SFRs and Mgas = Mdyn - Mstar, which are independent inputs; the paper explicitly flags in Section 4.2 that the fgas = 0.1-0.9 assumption "prevents imposing any meaningful constraints on the SFE," so the headline high SFE is an interpretation of a wide, unconstrained range rather than a circularly constructed result. The dust-production models are compared with the data, not tuned to match them. Self-citations (Zavala et al. 2024a/b, Inoue et al. 2020) provide external measurements and a published modeling framework; no load-bearing argument reduces to an unverified self-citation. The skeptic's concerns are about overstatement and model dependence, which are caveats, not circularity.
Assumptions & free parameters
free parameters (6)
- Dust emissivity index beta_dust =
2.0
- Clumpiness parameter log(xi_cl) =
-1.0
- Mass absorption coefficient kappa_0 at 100 micron =
30 cm2/g
- Gas fraction fgas for SFE =
1.0 (implicit)
- Larson IMF characteristic mass M_ch =
0.35 solar masses
- Star formation onset redshift z_start =
20 (GHZ2), 30 (GS-z14-0)
assumptions (6)
- domain assumption Dust is in radiative equilibrium with the radiation field from young stars and the CMB (I20 model).
- domain assumption Dust is distributed in clumps with an escape probability described by the I20 'clumpy' geometry.
- domain assumption Dust emission is optically thin at rest-frame 88 microns with emissivity beta=2.
- domain assumption Dark matter contribution is negligible within the effective radius, so Mgas = Mdyn - M*.
- domain assumption The ionized gas mass is negligible compared to the total gas mass except for GS-z14-0, where Mion is adopted as the lower limit.
- domain assumption The ISM is dominated by molecular gas (Mgas ~ Mmol) for the SFE definition.
Cite this review
Pith. "Pith review of Low dust mass and high star-formation efficiency at $z>12$ from deep ALMA observations." pith.science (2026). https://pith.science/paper/KSJJB6CC
@misc{pith2026250119384,
author = {Pith},
title = {Pith review of: Low dust mass and high star-formation efficiency at $z>12$ from deep ALMA observations},
year = {2026},
howpublished = {\url{https://pith.science/paper/KSJJB6CC}},
note = {Machine review of arXiv:2501.19384}
}
abstract
We investigate the dust mass build-up and star formation efficiency of two galaxies at $z>12$, GHZ2 and GS-z14-0, by combining ALMA and JWST observations with an analytical model that assumes dust at thermal equilibrium. We obtained $3\sigma$ constraints on dust mass of $\log M_{\rm dust}/M_{\odot}<5.0$ and $<5.3$, respectively. These constraints are in tension with a high dust condensation efficiency in stellar ejecta but are consistent with models with a short metal accretion timescale at $z>12$. Given the young stellar ages of these galaxies ($t_{\rm age}\sim10\,{\rm Myrs}$), dust grain growth via accretion may still be ineffective at this stage, though it likely works efficiently to produce significant dust in galaxies at $z\sim7$. The star formation efficiencies, defined as the SFR divided by molecular gas mass, reach $\sim10\,{\rm Gyr}^{-1}$ in a 10\,Myr timescale, aligning with the expected redshift evolution of `starburst' galaxies with efficiencies that are $\sim0.5$--$1\,{\rm dex}$ higher than those in main-sequence galaxies. This starburst phase seems to be common in UV-bright galaxies at $z>12$ and is likely associated with the unique conditions of the early phases of galaxy formation, such as bursty star formation and/or negligible feedback from super-Eddington accretion. Direct observations of molecular gas tracers like [C\,{\sc ii}] will be crucial to further understanding the nature of bright galaxies at $z>12$.
Figures
Figures from the paper (2 more)
Forward citations
Cited by 2 Pith papers
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Single-temperature fits to mock high-redshift dust SEDs built from a skewed temperature PDF underestimate dust masses by up to about 0.6 dex and bias the emissivity index shallow.
Reference graph
Works this paper leans on
-
[1]
S., Bethermin, M., et al
Aravena, M., Spilker, J. S., Bethermin, M., et al. 2016, MNRAS, 457, 4406
2016
-
[2]
2024, A&A, 682, A24
Aravena, M., Heintz, K., Dessauges-Zavadsky, M., et al. 2024, A&A, 682, A24
2024
-
[3]
2024, MNRAS, 527, 11372
Asada, Y., Sawicki, M., Abraham, R., et al. 2024, MNRAS, 527, 11372
2024
-
[4]
S., Takeuchi, T
Asano, R. S., Takeuchi, T. T., Hirashita, H., & Inoue, A. K. 2013, Earth, Planets and Space, 65, 213
2013
-
[5]
J., et al
Atek, H., Shuntov, M., Furtak, L. J., et al. 2023, MNRAS, 519, 1201
2023
-
[6]
Bakx, T. J. L. C., Tamura, Y., Hashimoto, T., et al. 2020, MNRAS, 493, 4294
2020
-
[7]
Bakx, T. J. L. C., Sommovigo, L., Carniani, S., et al. 2021, MNRAS, 508, L58
2021
-
[8]
Bakx, T. J. L. C., Zavala, J. A., Mitsuhashi, I., et al. 2023, MNRAS, 519, 5076
2023
Show all 107 references
-
[9]
Bakx, T. J. L. C., Algera, H. S. B., Venemans, B., et al. 2024, MNRAS, 532, 2270
2024
-
[10]
J., Wilson, C
Bendo, G. J., Wilson, C. D., Warren, B. E., et al. 2010, MNRAS, 402, 1409
2010
-
[11]
2023, ApJ, 952, 84
Bergamini, P., Acebron, A., Grillo, C., et al. 2023, ApJ, 952, 84
2023
-
[12]
2007, MNRAS, 378, 973
Bianchi, S., & Schneider, R. 2007, MNRAS, 378, 973
2007
-
[13]
E., Weiss, A., Wardlow, J
Birkin, J. E., Weiss, A., Wardlow, J. L., et al. 2021, MNRAS, 501, 3926
2021
-
[14]
2016, A&A, 589, A132
Biscaro, C., & Cherchneff, I. 2016, A&A, 589, A132
2016
-
[15]
2023, MNRAS, 523, 1009
Bouwens, R., Illingworth, G., Oesch, P., et al. 2023, MNRAS, 523, 1009
2023
-
[16]
2024, arXiv e-prints, arXiv:2410.23959
Burgarella, D., Buat, V., Theul´ e, P., et al. 2024, arXiv e-prints, arXiv:2410.23959
2024 arXiv
-
[17]
A., et al
Calabro, A., Castellano, M., Zavala, J. A., et al. 2024, arXiv e-prints, arXiv:2403.12683
2024 arXiv
-
[18]
C., McLure, R
Carnall, A. C., McLure, R. J., Dunlop, J. S., & Dav´ e, R. 2018, MNRAS, 480, 4379
2018
-
[19]
2024b, arXiv e-prints, arXiv:2409.20533 CASA Team, Bean, B., Bhatnagar, S., et al
Carniani, S., D’Eugenio, F., Ji, X., et al. 2024b, arXiv e-prints, arXiv:2409.20533 CASA Team, Bean, B., Bhatnagar, S., et al. 2022, PASP, 134, 114501
2022 arXiv
-
[20]
Casey, C. M. 2012, MNRAS, 425, 3094
2012
-
[21]
M., Akins, H
Casey, C. M., Akins, H. B., Shuntov, M., et al. 2024, ApJ, 965, 98
2024
-
[22]
2022, ApJL, 938, L15
Castellano, M., Fontana, A., Treu, T., et al. 2022, ApJL, 938, L15
2022
-
[23]
2024, ApJ, 972, 143 Ch´ avez, R., Terlevich, R., Terlevich, E., et al
Castellano, M., Napolitano, L., Fontana, A., et al. 2024, ApJ, 972, 143 Ch´ avez, R., Terlevich, R., Terlevich, E., et al. 2014, MNRAS, 442, 3565
2024
-
[24]
2014, A&A, 565, A128 da Cunha, E., Walter, F., Smail, I
Ciesla, L., Boquien, M., Boselli, A., et al. 2014, A&A, 565, A128 da Cunha, E., Walter, F., Smail, I. R., et al. 2015, ApJ, 806, 110 da Cunha, E., Hodge, J. A., Casey, C. M., et al. 2021, ApJ, 919, 30
2014
-
[25]
2022, MNRAS, 512, 989 de Bennassuti, M., Schneider, R., Valiante, R., & Salvadori, S
Dayal, P., Ferrara, A., Sommovigo, L., et al. 2022, MNRAS, 512, 989 de Bennassuti, M., Schneider, R., Valiante, R., & Salvadori, S. 2014, MNRAS, 445, 3039
2022
-
[26]
2023, MNRAS, 523, 3201 Dell’Agli, F., Valiante, R., Kamath, D., Ventura, P., & Garc ´ ıa-Hern´ andez, D
Li, Z. 2023, MNRAS, 523, 3201 Dell’Agli, F., Valiante, R., Kamath, D., Ventura, P., & Garc ´ ıa-Hern´ andez, D. A. 2019, MNRAS, 486, 4738
2023
-
[27]
2020, A&A, 643, A5 Di Cesare, C., Graziani, L., Schneider, R., et al
Dessauges-Zavadsky, M., Ginolfi, M., Pozzi, F., et al. 2020, A&A, 643, A5 Di Cesare, C., Graziani, L., Schneider, R., et al. 2023, MNRAS, 519, 4632
2020
-
[28]
Draine, B. T. 1990, in Astronomical Society of the Pacific Conference Series, Vol. 12, The Evolution of the Interstellar Medium, ed. L. Blitz, 193–205
1990
-
[29]
Draine, B. T. 2009, in Astronomical Society of the Pacific Conference Series, Vol. 414, Cosmic Dust - Near and Far, ed. T. Henning, E. Gr¨ un, & J. Steinacker, 453
2009
-
[30]
T., Dale, D
Draine, B. T., Dale, D. A., Bendo, G., et al. 2007, ApJ, 663, 866
2007
-
[31]
Dwek, E., & Scalo, J. M. 1980, ApJ, 239, 193
1980
-
[32]
P., Whitler, L., et al
Endsley, R., Stark, D. P., Whitler, L., et al. 2024, MNRAS, 533, 1111
2024
-
[33]
2024, A&A, 684, A207
Ferrara, A. 2024, A&A, 684, A207
2024
-
[34]
2024a, arXiv e-prints, arXiv:2409.17223
Ferrara, A., Carniani, S., di Mascia, F., et al. 2024a, arXiv e-prints, arXiv:2409.17223
-
[35]
2024b, arXiv e-prints, arXiv:2410.19042
Ferrara, A., Pallottini, A., & Sommovigo, L. 2024b, arXiv e-prints, arXiv:2410.19042
-
[36]
2022, MNRAS, 512, 58
Ferrara, A., Sommovigo, L., Dayal, P., et al. 2022, MNRAS, 512, 58
2022
-
[37]
S., & Gail, H
Ferrarotti, A. S., & Gail, H. P. 2006, A&A, 447, 553
2006
-
[38]
L., Leung, G
Finkelstein, S. L., Leung, G. C. K., Bagley, M. B., et al. 2024, ApJL, 969, L2
2024
-
[39]
K., & Sugahara, Y
Fudamoto, Y., Inoue, A. K., & Sugahara, Y. 2023, MNRAS, 521, 2962
2023
-
[40]
2008, ApJ, 672, 214
Galliano, F., Dwek, E., & Chanial, P. 2008, ApJ, 672, 214
2008
-
[41]
2020, MNRAS, 494, 1071
Graziani, L., Schneider, R., Ginolfi, M., et al. 2020, MNRAS, 494, 1071
2020
-
[42]
K., et al
Harikane, Y., Ouchi, M., Inoue, A. K., et al. 2020, ApJ, 896, 93
2020
-
[43]
2023, ApJS, 265, 5 Dust and gas atz >12 13
Harikane, Y., Ouchi, M., Oguri, M., et al. 2023, ApJS, 265, 5 Dust and gas atz >12 13
2023
-
[44]
K., Ellis, R
Harikane, Y., Inoue, A. K., Ellis, R. S., et al. 2024, arXiv e-prints, arXiv:2406.18352
2024 arXiv
-
[45]
K., Mawatari, K., et al
Hashimoto, T., Inoue, A. K., Mawatari, K., et al. 2019, PASJ, 71, 71
2019
-
[46]
M., Rieke, G
Helton, J. M., Rieke, G. H., Alberts, S., et al. 2024, arXiv e-prints, arXiv:2405.18462
2024 arXiv
-
[47]
2011, MNRAS, 416, 1340
Hirashita, H., & Kuo, T.-M. 2011, MNRAS, 416, 1340
2011
-
[48]
Y., & Kamaya, H
Hirashita, H., Tajiri, Y. Y., & Kamaya, H. 2002, A&A, 388, 439
2002
-
[49]
2018, ApJ, 854, 36
Behroozi, P. 2018, ApJ, 854, 36
2018
-
[50]
Inami, H., Algera, H. S. B., Schouws, S., et al. 2022, MNRAS, 515, 3126
2022
-
[51]
Inoue, A. K. 2011, Earth, Planets and Space, 63, 1027
2011
-
[52]
K., Hashimoto, T., Chihara, H., & Koike, C
Inoue, A. K., Hashimoto, T., Chihara, H., & Koike, C. 2020, MNRAS, 495, 1577
2020
-
[53]
R., MacLaren, I., & Wolfendale, A
Issa, M. R., MacLaren, I., & Wolfendale, A. W. 1990, A&A, 236, 237
1990
-
[54]
D., Weiss, A., et al
Jarugula, S., Vieira, J. D., Weiss, A., et al. 2021, ApJ, 921, 97
2021
-
[55]
D., Leja, J., Conroy, C., & Speagle, J
Johnson, B. D., Leja, J., Conroy, C., & Speagle, J. S. 2021, ApJS, 254, 22
2021
-
[56]
D., Barlow, M
Kirchschlager, F., Schmidt, F. D., Barlow, M. J., et al. 2019, MNRAS, 489, 4465
2019
-
[57]
2023, MNRAS, 520, L16
Kohandel, M., Ferrara, A., Pallottini, A., et al. 2023, MNRAS, 520, L16
2023
-
[58]
1982, A&A, 107, 247
Koornneef, J. 1982, A&A, 107, 247
1982
-
[59]
2024, arXiv e-prints, arXiv:2405.04578
Kravtsov, A., & Belokurov, V. 2024, arXiv e-prints, arXiv:2405.04578
2024 arXiv
-
[60]
S., Boone, F., et al
Laporte, N., Ellis, R. S., Boone, F., et al. 2017, ApJL, 837, L21
2017
-
[61]
Larson, R. B. 1998, MNRAS, 301, 569
1998
-
[62]
K., Bolatto, A., Gordon, K., et al
Leroy, A. K., Bolatto, A., Gordon, K., et al. 2011, ApJ, 737, 12 Le´ sniewska, A., & Micha lowski, M. J. 2019, A&A, 624, L13
2011
-
[63]
2019, MNRAS, 490, 1425
Li, Q., Narayanan, D., & Dav´ e, R. 2019, MNRAS, 490, 1425
2019
-
[64]
C., et al
Li, Z., Dekel, A., Sarkar, K. C., et al. 2024, A&A, 690, A108
2024
-
[65]
1998, ApJ, 496, 145
Lisenfeld, U., & Ferrara, A. 1998, ApJ, 496, 145
1998
-
[66]
2019, MNRAS, 490, 540
Liu, H.-M., & Hirashita, H. 2019, MNRAS, 490, 540
2019
-
[67]
E., Daddi, E., B´ ethermin, M., et al
Magdis, G. E., Daddi, E., B´ ethermin, M., et al. 2012, ApJ, 760, 6
2012
-
[68]
2011, A&A, 535, A13
Magrini, L., Bianchi, S., Corbelli, E., et al. 2011, A&A, 535, A13
2011
-
[69]
2015, MNRAS, 451, L70
Mancini, M., Schneider, R., Graziani, L., et al. 2015, MNRAS, 451, L70
2015
-
[70]
2015, MNRAS, 454, 4250
Marassi, S., Schneider, R., Limongi, M., et al. 2015, MNRAS, 454, 4250
2015
-
[71]
2023, MNRAS, 526, 2196
Mauerhofer, V., & Dayal, P. 2023, MNRAS, 526, 2196
2023
-
[72]
E., et al
Mitsuhashi, I., Harikane, Y., Bauer, F. E., et al. 2024, ApJ, 971, 161
2024
-
[73]
P., Oesch, P
Naidu, R. P., Oesch, P. A., van Dokkum, P., et al. 2022, ApJL, 940, L14
2022
-
[74]
2007, ApJ, 666, 955
Nozawa, T., Kozasa, T., Habe, A., et al. 2007, ApJ, 666, 955
2007
-
[75]
2023, ApJ, 951, 72
Ono, Y., Harikane, Y., Ouchi, M., et al. 2023, ApJ, 951, 72
2023
-
[76]
2024, MNRAS, 528, 2407
Palla, M., De Looze, I., Rela˜ no, M., et al. 2024, MNRAS, 528, 2407
2024
-
[77]
S., & Galametz, M
Popping, G., Somerville, R. S., & Galametz, M. 2017, MNRAS, 471, 3152
2017
-
[78]
L., et al
Popping, G., Shivaei, I., Sanders, R. L., et al. 2023, A&A, 670, A138 R´ emy-Ruyer, A., Madden, S. C., Galliano, F., et al. 2014, A&A, 563, A31
2023
-
[79]
D., Tacchella, S., et al
Robertson, B., Johnson, B. D., Tacchella, S., et al. 2024, ApJ, 970, 31
2024
-
[80]
Salpeter, E. E. 1955, ApJ, 121, 161
1955
-
[81]
B., Scoville, N
Sanders, D. B., Scoville, N. Z., & Soifer, B. T. 1991, ApJ, 370, 158
1991
-
[82]
2014, A&A, 562, A30
Santini, P., Maiolino, R., Magnelli, B., et al. 2014, A&A, 562, A30
2014
-
[83]
T., B´ ethermin, M., Daddi, E., & Elbaz, D
Sargent, M. T., B´ ethermin, M., Daddi, E., & Elbaz, D. 2012, ApJL, 747, L31
2012
-
[84]
2016, MNRAS, 457, 1842
Schneider, R., Hunt, L., & Valiante, R. 2016, MNRAS, 457, 1842
2016
-
[85]
2024, A&A Rv, 32, 2
Schneider, R., & Maiolino, R. 2024, A&A Rv, 32, 2
2024
-
[86]
J., Ormerod, K., et al
Schouws, S., Bouwens, R. J., Ormerod, K., et al. 2024, arXiv e-prints, arXiv:2409.20549
2024 arXiv
-
[87]
2017, ApJ, 837, 150
Scoville, N., Lee, N., Vanden Bout, P., et al. 2017, ApJ, 837, 150
2017
-
[88]
2024, arXiv e-prints, arXiv:2410.08290
Shuntov, M., Ilbert, O., Toft, S., et al. 2024, arXiv e-prints, arXiv:2410.08290
2024 arXiv
-
[89]
D., Dwek, E., Mac Low, M.-M., & Hill, A
Slavin, J. D., Dwek, E., Mac Low, M.-M., & Hill, A. S. 2020, ApJ, 902, 135
2020
-
[90]
C., et al
Sun, G., Faucher-Gigu` ere, C.-A., Hayward, C. C., et al. 2023, ApJL, 955, L35
2023
-
[91]
J., Genzel, R., & Sternberg, A
Tacconi, L. J., Genzel, R., & Sternberg, A. 2020, ARA&A, 58, 157
2020
-
[92]
J., Genzel, R., Saintonge, A., et al
Tacconi, L. J., Genzel, R., Saintonge, A., et al. 2018, ApJ, 853, 179
2018
-
[93]
2019, ApJ, 874, 27
Tamura, Y., Mawatari, K., Hashimoto, T., et al. 2019, ApJ, 874, 27
2019
-
[94]
2001, MNRAS, 325, 726
Todini, P., & Ferrara, A. 2001, MNRAS, 325, 726
2001
-
[95]
W., Stark, D
Topping, M. W., Stark, D. P., Endsley, R., et al. 2022, MNRAS, 516, 975
2022
-
[96]
2022, ApJ, 935, 110 14 Mitsuhashi, Zavala, Bakx et al
Treu, T., Roberts-Borsani, G., Bradac, M., et al. 2022, ApJ, 935, 110 14 Mitsuhashi, Zavala, Bakx et al
2022
-
[97]
2024, A&A, 685, A138
Valentino, F., Fujimoto, S., Gim´ enez-Arteaga, C., et al. 2024, A&A, 685, A138
2024
-
[98]
Valiante, R., Schneider, R., Bianchi, S., & Andersen, A. C. 2009, MNRAS, 397, 1661
2009
-
[99]
P., Clay, S
Vijayan, A. P., Clay, S. J., Thomas, P. A., et al. 2019, MNRAS, 489, 4072
2019
-
[100]
2022, MNRAS, 515, 1751
Witstok, J., Smit, R., Maiolino, R., et al. 2022, MNRAS, 515, 1751
2022
-
[101]
2022, ApJL, 938, L17
Yang, L., Morishita, T., Leethochawalit, N., et al. 2022, ApJL, 938, L17
2022
-
[102]
L., Fujimoto, S., et al
Yoon, I., Carilli, C. L., Fujimoto, S., et al. 2023, ApJ, 950, 61
2023
-
[103]
2018, MNRAS, 481, 1976
Zanella, A., Daddi, E., Magdis, G., et al. 2018, MNRAS, 481, 1976
2018
-
[104]
A., Casey, C
Zavala, J. A., Casey, C. M., Spilker, J., et al. 2022, ApJ, 933, 242
2022
-
[105]
A., Bakx, T., Mitsuhashi, I., et al
Zavala, J. A., Bakx, T., Mitsuhashi, I., et al. 2024b, arXiv e-prints, arXiv:2411.03593
-
[106]
2014, A&A, 562, A76
Zhukovska, S. 2014, A&A, 562, A76
2014
-
[107]
P., & Trieloff, M
Zhukovska, S., Gail, H. P., & Trieloff, M. 2008, A&A, 479, 453
2008
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