REVIEW 3 major objections 4 minor 2 cited by
The Identification of Two JWST/NIRCam-Dark Starburst Galaxies at $z=6.6$ with ALMA
T0 review · 3 major / 4 minor · reviewed 2026-08-07 · deepseek-v4-flash
Pith's one-line read Two galaxies at z=6.6 hide from JWST but blaze in ALMA, forming 80–250 solar masses per year behind thick dust.
desk verdict Two robust NIRCam-dark starbursts at z=6.6, with the number-density claim honestly framed as an upper envelope rather than a measurement. 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 object is the 'NIRCam-dark' starburst galaxy, defined by a rest-frame $3.6\,\mu\mathrm{m}$ to $1.2\,\mathrm{mm}$ flux ratio below $10^{-4}$, so optically faint that JWST/NIRCam cannot see it. The identification pipeline is an ALMA survey mapping the 1.2 mm continuum and [C II] line around 25 luminous quasars at $z\simeq6.5\!-\!6.8$, which produced multi-band ALMA detections for the two targets. The physical interpretation relies on energy-balance SED fitting with parametric star-formation histories, stellar population synthesis models, and a modified dust attenuation curve, combining NIRCam limits, ALMA photometry, and [C II] luminosities. The population estimate is carried by a Gaussian halo-occupation model, with a 'light model' assuming constant occupation above a halo-mass cutoff of $\log(M_{\mathrm{halo}}/M_\odot)\ge11.4$ inferred from simulations.
What would settle it
Deep JWST/NIRCam or MIRI observations that directly detect the stellar continuum of J1526m2050.C02 and J0305m3150.C05 would measure their stellar masses without SED priors; if these turn out to be below $\log(M_\star/M_\odot)\sim9.5$, the claim that they are progenitors of massive quiescent galaxies would be falsified. Alternatively, a blind ALMA survey covering several square degrees at $\sim0.3\,\mathrm{mJy}$ depth that finds far fewer than roughly one NIRCam-dark source per 100 arcmin$^2$ would rule out the light halo-occupation model's high number density.
Extended reading notes
Core claim
The central claim is that two ALMA-selected quasar companions, J0305m3150.C05 and J1526m2050.C02, are securely detected at $>8\sigma$ in the 1.2 mm dust continuum and in [C II] spectroscopy at $z\simeq6.6$, but are nearly invisible to JWST/NIRCam: J0305m3150.C05 is undetected (F356W $>28.0$ AB mag) and J1526m2050.C02 is only $26.5\pm0.1$ AB mag. Their spectral energy distributions imply dust-obscured starbursts with star formation rates of $80\!-\!250\,M_\odot\,\mathrm{yr}^{-1}$, infrared luminosities of $10^{11.9}\!-\!10^{12.4}\,L_\odot$, and stellar masses of $\log(M_\star/M_\odot)\simeq10.0\!-\!10.5$ with $0.5$ dex uncertainties. The paper shows these properties match the predicted descendants of UV-luminous 'blue monsters' at $z>10$ and the predicted progenitors of massive quiescent galaxies at $z\gtrsim4$. Using a light halo-occupation model calibrated to the detection of two such sources in 25 quasar fields, it infers a number density of $n=3^{+4}_{-2}\times10^{-6}\,\mathrm{Mpc}^{-3}$ at $z\sim6.6$, about 30% of the number densities of the two comparison populations.
Load-bearing premise
The stellar masses and star-formation rates of the two galaxies come from SED fitting in which the rest-frame optical is essentially undetected, so the derived values and the evolutionary link rest on priors in the fitting model rather than on direct measurements of starlight.
Editorial extensions
If this is right
- NIRCam-dark galaxies at $z\sim7$ could be the direct ancestors of a substantial fraction of the massive quiescent galaxies seen at $z\gtrsim4$.
- The light halo-occupation model implies these hidden starbursts account for roughly a third of the (U)LIRG population and the dust-obscured cosmic star-formation rate density at $z\sim7$.
- The $z\sim8$ analogs predicted by the star-formation histories of early quiescent galaxies would fall below the detection limits of current wide JWST, ALMA, and single-dish surveys, remaining 'JWST-dark'.
- The compact dust-continuum sizes of these galaxies, about 1 kpc in circularized effective radius, match the compact stellar sizes of $z\sim4$ quiescent galaxies, supporting a direct evolutionary link.
- The occurrence rate of NIRCam-dark companions, two out of 25 quasar fields, implies a much higher duty cycle than that of UV-bright quasars, so these galaxies are not rare accidents of the quasar environment.
Reading between the lines
- If the light halo-occupation model is correct, blank-field ALMA surveys of a few square degrees at the GOODS-ALMA depth should find roughly one such source per 100 arcmin$^2$; a null detection over a much larger area would directly falsify the high number density.
- The stellar masses are effectively priors from the SED fit rather than direct measurements; deep MIRI or NIRSpec observations that detect the stellar continuum could confirm whether these galaxies are truly as massive as claimed, or whether the evolutionary link needs revision.
- The proposed 'blue monster' to NIRCam-dark connection implies that very efficient dust production occurs within a few hundred million years; the measured dust-to-stellar mass ratio of about $10^{-2.3}$ is a direct test for dust-formation models at $z>6$.
- The assumed independence of quasar and NIRCam-dark halo occupation may break down if the starbursts are triggered by the same large-scale environment that feeds the quasar; future clustering measurements of these hidden galaxies would test this directly.
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. The paper reports the identification and characterization of two dusty star-forming galaxies at z~6.6 selected as companions to UV-luminous quasars in the ASPIRE survey. Both sources are robustly detected in ALMA 1.2 mm continuum (8.7 and 26.4 sigma) and spectroscopically confirmed via [C II] emission, yet they are extremely faint in JWST/NIRCam (F356W >28.0 AB mag for one, 26.5 mag for the other). The authors perform aperture photometry (including PSF subtraction for the quasar proximity), model the SEDs with CIGALE, and derive SFRs of 80-250 Msun/yr, large dust attenuation, and poorly constrained stellar masses around log(Mstar/Msun)~10.0-10.5. They argue these galaxies are viable progenitors of massive quiescent galaxies at z>=4 and descendants of z>10 'blue monsters'. Using a 2/25 occurrence rate among the ASPIRE quasar fields, they estimate a number density that could be as high as n~1e-5.5 Mpc^-3 under a 'light' halo-occupation model, about 30% of the quiescent and blue-monster densities, and predict that z~8 analogs may remain JWST-dark. The paper also discusses detectability in current and planned surveys.
Significance. If the population-level interpretation holds, these two objects are among the most extreme NIRCam-dark starbursts found at z>6 and would constitute an important missing link in massive galaxy evolution, bridging dust-obscured star formation in the EoR to early quiescent galaxies. The observational core is strong: the ALMA detections are multi-frequency and high-significance, the [C II] redshifts are secure, and the NIRCam photometry is carefully handled, including PSF subtraction for the quasar-contaminated source. The paper is also commendably explicit that the stellar masses are weakly constrained and that the number density is 'highly unconstrained' over two orders of magnitude. The value of the paper lies in demonstrating that such extreme systems exist and in framing testable predictions for wide-field surveys.
major comments (3)
- [§4.2, Eq. (1)] The conversion from the observed 2/25 occurrence rate to a halo-occupation fraction f=0.08 silently assumes uniform ALMA sensitivity and complete NIRCam companion identification across all 25 fields, but the paper does not demonstrate that the two detection fields have representative rms and depth, nor that the search for NIRCam-dark companions is complete in separation, primary-beam response, and velocity offset. The quoted Poisson uncertainty (0.08+0.10-0.05) is not propagated into the light-model density; the number density should either include field-by-field completeness corrections or be explicitly presented as an upper envelope conditional on ideal sensitivity.
- [§4.2, light model] The light-model cutoff log(M_halo/Msun)>=11.4 is taken from TNG100 galaxies with SFR>50 Msun/yr, but the observed targets are quasar companions with SFR~80-250 Msun/yr and are likely hosted by halos of log(M_halo/Msun)~12.3, so applying the same constant occupation fraction to all halos above 11.4 maximizes the density without direct justification. The text notes that quasar and NIRCam-dark occupations are assumed independent, but the selection of both sources as companions in quasar environments implies a positive environmental correlation; this should be folded into the uncertainty budget or discussed quantitatively.
- [§3.2 and Table 1] The stellar masses (log(Mstar/Msun)=10.0±0.5 and 10.5±0.5) are essentially unconstrained by the F115W/F200W upper limits and the marginal F356W detection, so the 'viable progenitors' argument in §4.1 is driven by the CIGALE prior rather than by data. The paper acknowledges the 0.5-dex errors, but Figure 3 compares these prior-influenced masses and SFRs with SFHs derived from JWST spectrophotometry, which themselves assume delayed-tau parameterizations; the evolutionary connection should be framed as a consistency check with a prior-dependent outcome, not as an independent confirmation.
minor comments (4)
- [Figure 1 caption] The caption contains a typo: 'J1526m2020.C02' should be 'J1526m2050.C02'.
- [§3.1] The definition 'NIRCam-dark (S_3.6µm/S_1.2mm <10^-4)' is ambiguous: F356W is 3.56 µm observed, not rest-frame 3.6 µm at z=6.6; please clarify whether the ratio uses observed-frame or rest-frame quantities and define the bands explicitly.
- [§4.3] The statement that the z=8 template 'is not far from the current detection limits' in F444W, MIRI F1000W-F1500W, and ALMA Band 6/7 seems in tension with the figure, which shows the template below the 5-sigma limits of those surveys; please clarify whether 'not far' refers to a factor of a few rather than detectability.
- [Abstract and §4.1] The phrase 'we show that the NIRCam-dark galaxies are viable progenitors' overstates the evidence; 'we argue' or 'we suggest' would be more appropriate given the degenerate SED modeling.
Circularity Check
No significant circularity: the ALMA/NIRCam identifications and SED characterization are self-contained, and the population-density claim is explicitly a conditional model extrapolation.
full rationale
The paper's central observational claims -- two z=6.6 ALMA-detected, [C II]-confirmed companions that are faint or undetected in NIRCam -- rest on direct ALMA and JWST measurements and on prior independent detections by Venemans et al. (2019, 2020), Decarli et al. (2017), Mazzucchelli et al. (2019), Pensabene et al. (2021), and Li et al. (2022). The new SED modeling uses standard external tools (CIGALE, Bruzual & Charlot 2003, Calzetti et al. 2000, Casey 2012) and is transparent about the weak stellar-mass constraint: 'the constraints on their stellar mass are rather poor ... large errors are natural consequence of poor constraints in the rest-frame UV/optical through Bayesian inference.' The evolutionary connection to z~4 quiescent galaxies and z>10 'blue monsters' is interpretive: it compares IR-luminosity SFRs and poorly constrained stellar masses with published SFH tracks; no equation in the paper makes that match a logical necessity. The number-density estimate is explicitly a conditional scaling, not a hidden prediction: the paper states 'the number density of NIRCam-dark galaxies at z~7 remains highly unconstrained: it may be as low as n~1e-8.1 Mpc^-3, but could also be as high as ~1e-5.5 Mpc^-3,' and the 'light model' sets the occupation fraction equal to the observed 2/25 occurrence rate ('The halo occupation fraction is therefore the observed NIRCam-dark occurrence rate'). This is an openly stated model assumption, and the paper cautions that 'our models assume independent halo occupations for quasars and NIRCam-dark galaxies.' Self-citations (Sun et al. 2025a for the ALMA catalog; Wang et al. 2023/in prep. for ASPIRE) are data/method references rather than load-bearing theoretical results, and the two galaxies were previously reported by external teams. No step reduces by construction to its own inputs.
Assumptions & free parameters
free parameters (6)
- P_max for quasar host occupation =
0.02
- log(Mc/Msun) for quasar host occupation =
12.73
- sigma_m for quasar host occupation =
0.22
- P_max for NIRCam-dark galaxies, heavy model =
0.37 (+0.46, -0.23)
- Halo mass cutoff for light model =
log(Mhalo/Msun) >= 11.4
- SFE and dust parameters in CIGALE =
Tdust 30-60 K, beta 1.6-2.0, AV 0-15, age 20-500 Myr, tau 20-2000 Myr
assumptions (4)
- domain assumption CIGALE energy-balance SED fitting with delayed-tau SFH, Bruzual and Charlot 2003 stellar population models, and Calzetti attenuation
- domain assumption The halo-occupation model of quasars follows a Gaussian P(Mhalo) with parameters from EIGER and Pizzati+24
- domain assumption Independent halo occupation of quasars and NIRCam-dark galaxies
- domain assumption TNG100-based cutoff of log(Mhalo/Msun) >= 11.4 for NIRCam-dark hosting halos
Cite this review
Pith. "Pith review of The Identification of Two JWST/NIRCam-Dark Starburst Galaxies at $z=6.6$ with ALMA." pith.science (2026). https://pith.science/paper/3DYXGQ47
@misc{pith2026250606418,
author = {Pith},
title = {Pith review of: The Identification of Two JWST/NIRCam-Dark Starburst Galaxies at $z=6.6$ with ALMA},
year = {2026},
howpublished = {\url{https://pith.science/paper/3DYXGQ47}},
note = {Machine review of arXiv:2506.06418}
}
abstract
We analyze two dusty star-forming galaxies at $z=6.6$. These galaxies are selected from the ASPIRE survey, a JWST Cycle-1 medium and ALMA Cycle-9 large program targeting 25 quasars and their environments at $z\simeq6.5 - 6.8$. These galaxies are identified as companions to UV-luminous quasars and robustly detected in ALMA continuum and [C II] emission, yet they are extraordinarily faint at the NIRCam wavelengths (down to $>28.0$ AB mag in the F356W band). They are more obscured than galaxies like Arp220, and thus we refer to them as "NIRCam-dark" starburst galaxies (star formation rate $\simeq 80 - 250\,\mathrm{M}_{\odot}\,\mathrm{yr}^{-1}$). Such galaxies are typically missed by (sub)-millimeter blank-field surveys. From the star-formation history (SFH), we show that the NIRCam-dark galaxies are viable progenitors of massive quiescent galaxies at $z\gtrsim4$ and descendants of UV-luminous galaxies at $z>10$. Although it is hard to constrain their number density from a quasar survey, we conclude that NIRCam-dark galaxies can be as abundant as $n\sim10^{-5.5}$ Mpc$^{-3}$ assuming a light halo occupation model. If true, this would equal to $\sim$30% of the number densities of both the quiescent galaxies at $z\gtrsim4$ and UV-luminous galaxies at $z>10$. We further predict that analogs at $z\sim8$ should exist according to the SFH of early massive quiescent galaxies. However, they may fall below the current detection limits of wide JWST and ALMA surveys, thus remaining "JWST-dark". To fully trace the evolution of massive galaxies and dust-obscured cosmic star formation at $z\gtrsim8$, wide-field JWST/NIRCam imaging and slitless spectroscopic surveys of early protoclusters are essential.
Figures
Figures from the paper (2 more)
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Reference graph
Works this paper leans on
-
[1]
Akins, H. B., Casey, C. M., Allen, N., et al. 2023, ApJ, 956, 61, doi: 10.3847/1538-4357/acef21
-
[2]
2024, ApJ, 976, 224, doi: 10.3847/1538-4357/ad7396
Alberts, S., Lyu, J., Shivaei, I., et al. 2024, ApJ, 976, 224, doi: 10.3847/1538-4357/ad7396
-
[3]
Algera, H. S. B., Inami, H., Oesch, P. A., et al. 2023, MNRAS, 518, 6142, doi: 10.1093/mnras/stac3195 ´Alvarez-M´arquez, J., Crespo G´omez, A., Colina, L., et al. 2023, A&A, 671, A105, doi: 10.1051/0004-6361/202245400
-
[4]
2020, arXiv e-prints, arXiv:2006.04284
Aravena, M., Boogaard, L., G´onzalez-L´opez, J., et al. 2020, arXiv e-prints, arXiv:2006.04284. https://arxiv.org/abs/2006.04284 Arrabal Haro, P., Dickinson, M., Finkelstein, S. L., et al. 2023, Nature, 622, 707, doi: 10.1038/s41586-023-06521-7
arXiv 2020
-
[5]
2024, A&A, 688, A146, doi: 10.1051/0004-6361/202348824 Astropy Collaboration, Robitaille, T
Arribas, S., Perna, M., Rodr´ıguez Del Pino, B., et al. 2024, A&A, 688, A146, doi: 10.1051/0004-6361/202348824 Astropy Collaboration, Robitaille, T. P., Tollerud, E. J., et al. 2013, A&A, 558, A33, doi: 10.1051/0004-6361/201322068 Astropy Collaboration, Price-Whelan, A. M., Sip˝ocz, B. M., et al. 2018, AJ, 156, 123, doi: 10.3847/1538-3881/aabc4f
-
[6]
E., Kirkpatrick, A., Yang, G., et al
Backhaus, B. E., Kirkpatrick, A., Yang, G., et al. 2025, arXiv e-prints, arXiv:2503.19078, doi: 10.48550/arXiv.2503.19078 12
-
[7]
M., Lim, S., D’Eugenio, F., et al
Baker, W. M., Lim, S., D’Eugenio, F., et al. 2025, MNRAS, 539, 557, doi: 10.1093/mnras/staf475
-
[8]
Bakx, T. J. L. C., Algera, H. S. B., Venemans, B., et al. 2024, MNRAS, 532, 2270, doi: 10.1093/mnras/stae1613
Show all 135 references
-
[9]
A., Bouwens, R., et al
Barrufet, L., Oesch, P. A., Bouwens, R., et al. 2023, MNRAS, 522, 3926, doi: 10.1093/mnras/stad1259
2023 doi
-
[10]
2023, A&A, 677, A66, doi: 10.1051/0004-6361/202346579
Bing, L., B´ethermin, M., Lagache, G., et al. 2023, A&A, 677, A66, doi: 10.1051/0004-6361/202346579
2023 doi
-
[11]
A., Gillman, S., Melinder, J., et al
Boogaard, L. A., Gillman, S., Melinder, J., et al. 2024, ApJ, 969, 27, doi: 10.3847/1538-4357/ad43e5
2024 doi
-
[12]
2019, A&A, 622, A103, doi: 10.1051/0004-6361/201834156
Boquien, M., Burgarella, D., Roehlly, Y ., et al. 2019, A&A, 622, A103, doi: 10.1051/0004-6361/201834156
2019 doi
-
[13]
J., Smit, R., Schouws, S., et al
Bouwens, R. J., Smit, R., Schouws, S., et al. 2022, ApJ, 931, 160, doi: 10.3847/1538-4357/ac5a4a
2022 doi
-
[14]
2024,, 1.12.0 Zenodo, doi: 10.5281/zenodo.10967176
Bradley, L., Sip˝ocz, B., Robitaille, T., et al. 2024,, 1.12.0 Zenodo, doi: 10.5281/zenodo.10967176
2024 doi
-
[15]
2003, MNRAS, 344, 1000, doi: 10.1046/j.1365-8711.2003.06897.x
Bruzual, G., & Charlot, S. 2003, MNRAS, 344, 1000, doi: 10.1046/j.1365-8711.2003.06897.x
2003
-
[16]
J., Saxena, A., Cameron, A
Bunker, A. J., Saxena, A., Cameron, A. J., et al. 2023, A&A, 677, A88, doi: 10.1051/0004-6361/202346159
2023 doi
-
[17]
2023,, 1.10.2 Zenodo, doi: 10.5281/zenodo.7829329
Bushouse, H., Eisenhamer, J., Dencheva, N., et al. 2023,, 1.10.2 Zenodo, doi: 10.5281/zenodo.7829329
2023 doi
-
[18]
C., et al
Calzetti, D., Armus, L., Bohlin, R. C., et al. 2000, ApJ, 533, 682, doi: 10.1086/308692
2000 doi
-
[19]
C., McLure, R
Carnall, A. C., McLure, R. J., Dunlop, J. S., et al. 2023a, Nature, 619, 716, doi: 10.1038/s41586-023-06158-6
-
[20]
C., McLeod, D
Carnall, A. C., McLeod, D. J., McLure, R. J., et al. 2023b, MNRAS, 520, 3974, doi: 10.1093/mnras/stad369
-
[21]
C., Cullen, F., McLure, R
Carnall, A. C., Cullen, F., McLure, R. J., et al. 2024, MNRAS, 534, 325, doi: 10.1093/mnras/stae2092
2024 doi
-
[22]
2024, Nature, 633, 318, doi: 10.1038/s41586-024-07860-9
Carniani, S., Hainline, K., D’Eugenio, F., et al. 2024, Nature, 633, 318, doi: 10.1038/s41586-024-07860-9
2024 doi
-
[23]
2023, in Physics and Chemistry of Star Formation: The Dynamical ISM Across Time and Spatial Scales, ed
Carpenter, J., Brogan, C., Iono, D., & Mroczkowski, T. 2023, in Physics and Chemistry of Star Formation: The Dynamical ISM Across Time and Spatial Scales, ed. V . Ossenkopf-Okada, R. Schaaf, I. Breloy, & J. Stutzki, 304, doi: 10.48550/arXiv.2211.00195 CASA Team, Bean, B., Bhat...
-
[25]
M., Zavala, J
Casey, C. M., Zavala, J. A., Manning, S. M., et al. 2021, ApJ, 923, 215, doi: 10.3847/1538-4357/ac2eb4
2021 doi
-
[26]
M., Kartaltepe, J
Casey, C. M., Kartaltepe, J. S., Drakos, N. E., et al. 2023, ApJ, 954, 31, doi: 10.3847/1538-4357/acc2bc
2023 doi
-
[27]
2024, ApJ, 972, 143, doi: 10.3847/1538-4357/ad5f88
Castellano, M., Napolitano, L., Fontana, A., et al. 2024, ApJ, 972, 143, doi: 10.3847/1538-4357/ad5f88
2024 doi
-
[28]
2003, PASP, 115, 763, doi: 10.1086/376392
Chabrier, G. 2003, PASP, 115, 763, doi: 10.1086/376392
2003 doi
-
[29]
B., Wang, F., Zhang, H., et al
Champagne, J. B., Wang, F., Zhang, H., et al. 2025, ApJ, 981, 113, doi: 10.3847/1538-4357/adb1bd
2025 doi
-
[30]
2001, ApJ, 556, 562, doi: 10.1086/321609
Chary, R., & Elbaz, D. 2001, ApJ, 556, 562, doi: 10.1086/321609
2001 doi
-
[31]
M., et al
Chen, C.-C., Smail, I., Swinbank, A. M., et al. 2015, ApJ, 799, 194, doi: 10.1088/0004-637X/799/2/194
2015 doi
- [32]
-
[33]
R., Salim, S., Kereˇs, D., Hayward, C
Choban, C. R., Salim, S., Kereˇs, D., Hayward, C. C., & Sandstrom, K. M. 2025, MNRAS, 537, 1518, doi: 10.1093/mnras/staf118
2025 doi
-
[34]
K., Angl´es-Alc´azar, D., Cullen, F., & Hayward, C
Cochrane, R. K., Angl´es-Alc´azar, D., Cullen, F., & Hayward, C. C. 2024, ApJ, 961, 37, doi: 10.3847/1538-4357/ad02f8
2024 doi
-
[35]
2020, ApJ, 900, 189, doi: 10.3847/1538-4357/abaab9 da Cunha, E., Groves, B., Walter, F., et al
Connor, T., Ba˜nados, E., Mazzucchelli, C., et al. 2020, ApJ, 900, 189, doi: 10.3847/1538-4357/abaab9 da Cunha, E., Groves, B., Walter, F., et al. 2013, ApJ, 766, 13, doi: 10.1088/0004-637X/766/1/13 da Cunha, E., Walter, F., Smail, I. R., et al. 2015, ApJ, 806, 110, doi: 10.10...
2020 doi
-
[36]
2022, MNRAS, 512, 989, doi: 10.1093/mnras/stac537 de Graaff, A., Setton, D
Dayal, P., Ferrara, A., Sommovigo, L., et al. 2022, MNRAS, 512, 989, doi: 10.1093/mnras/stac537 de Graaff, A., Setton, D. J., Brammer, G., et al. 2025, Nature Astronomy, 9, 280, doi: 10.1038/s41550-024-02424-3 De Rossi, M. E., Rieke, G. H., Shivaei, I., Bromm, V ., & Lyu, J. 2...
2022 doi
-
[37]
P., et al
Decarli, R., Walter, F., Venemans, B. P., et al. 2017, Nature, 545, 457, doi: 10.1038/nature22358 D’Eugenio, F., Cameron, A. J., Scholtz, J., et al. 2025, ApJS, 277, 4, doi: 10.3847/1538-4365/ada148
2017 doi
-
[38]
J., Lang, D., et al
Dey, A., Schlegel, D. J., Lang, D., et al. 2019, AJ, 157, 168, doi: 10.3847/1538-3881/ab089d D´ıaz-Santos, T., Armus, L., Charmandaris, V ., et al. 2017, ApJ, 846, 32, doi: 10.3847/1538-4357/aa81d7
2019 doi
-
[39]
T., McLure, R
Donnan, C. T., McLure, R. J., Dunlop, J. S., et al. 2024, MNRAS, 533, 3222, doi: 10.1093/mnras/stae2037
2024 doi
-
[40]
Donnellan, J. M. S., Oliver, S. J., B´ethermin, M., et al. 2024, MNRAS, 532, 1966, doi: 10.1093/mnras/stae1539 Dudzeviˇci¯ut˙e, U., Smail, I., Swinbank, A. M., et al. 2020, MNRAS, 494, 3828, doi: 10.1093/mnras/staa769
2024 doi
-
[41]
S., McLure, R
Dunlop, J. S., McLure, R. J., Biggs, A. D., et al. 2017, MNRAS, 466, 861, doi: 10.1093/mnras/stw3088
2017 doi
-
[42]
2024, ApJ, 974, 275, doi: 10.3847/1538-4357/ad778b
Eilers, A.-C., Mackenzie, R., Pizzati, E., et al. 2024, ApJ, 974, 275, doi: 10.3847/1538-4357/ad778b
2024 doi
- [43]
-
[44]
L., Leung, G
Finkelstein, S. L., Leung, G. C. K., Bagley, M. B., et al. 2024, ApJL, 969, L2, doi: 10.3847/2041-8213/ad4495
2024 doi
-
[45]
L., Bagley, M
Finkelstein, S. L., Bagley, M. B., Arrabal Haro, P., et al. 2025, ApJL, 983, L4, doi: 10.3847/2041-8213/adbbd3
2025 doi
-
[46]
2018, A&A, 620, A152, doi: 10.1051/0004-6361/201832928
Franco, M., Elbaz, D., B´ethermin, M., et al. 2018, A&A, 620, A152, doi: 10.1051/0004-6361/201832928
2018 doi
-
[47]
A., Schouws, S., et al
Fudamoto, Y ., Oesch, P. A., Schouws, S., et al. 2021, Nature, 597, 489, doi: 10.1038/s41586-021-03846-z NIRCAM-DARKSTARBURSTGALAXIES ATz= 6.613
2021 doi
- [48]
- [49]
-
[50]
2024, ApJS, 275, 36, doi: 10.3847/1538-4365/ad5ae2 Gaia Collaboration, Vallenari, A., Brown, A
Fujimoto, S., Kohno, K., Ouchi, M., et al. 2024, ApJS, 275, 36, doi: 10.3847/1538-4365/ad5ae2 Gaia Collaboration, Vallenari, A., Brown, A. G. A., et al. 2023, A&A, 674, A1, doi: 10.1051/0004-6361/202243940
2024 doi
-
[51]
2024, Nature, 628, 277, doi: 10.1038/s41586-024-07191-9 G´omez-Guijarro, C., Elbaz, D., Xiao, M., et al
Glazebrook, K., Nanayakkara, T., Schreiber, C., et al. 2024, Nature, 628, 277, doi: 10.1038/s41586-024-07191-9 G´omez-Guijarro, C., Elbaz, D., Xiao, M., et al. 2022, A&A, 658, A43, doi: 10.1051/0004-6361/202141615 Gonz´alez-L´opez, J., Novak, M., Decarli, R., et al. 2020, arXi...
2024 arXiv
-
[52]
2024, ApJ, 960, 56, doi: 10.3847/1538-4357/ad0b7e
Harikane, Y ., Nakajima, K., Ouchi, M., et al. 2024, ApJ, 960, 56, doi: 10.3847/1538-4357/ad0b7e
2024 doi
-
[53]
K., et al
Harikane, Y ., Ouchi, M., Inoue, A. K., et al. 2020, ApJ, 896, 93, doi: 10.3847/1538-4357/ab94bd
2020 doi
-
[54]
K., Ellis, R
Harikane, Y ., Inoue, A. K., Ellis, R. S., et al. 2025, ApJ, 980, 138, doi: 10.3847/1538-4357/ad9b2c
2025 doi
-
[55]
I., Nelson, E
Hartley, A. I., Nelson, E. J., Suess, K. A., et al. 2023, MNRAS, 522, 3138, doi: 10.1093/mnras/stad1162
2023 doi
-
[56]
K., Mawatari, K., et al
Hashimoto, T., Inoue, A. K., Mawatari, K., et al. 2019, PASJ, 71, 71, doi: 10.1093/pasj/psz049
2019 doi
-
[57]
2018, PASJ, 70, 105, doi: 10.1093/pasj/psy104
Hatsukade, B., Kohno, K., Yamaguchi, Y ., et al. 2018, PASJ, 70, 105, doi: 10.1093/pasj/psy104
2018 doi
-
[58]
M., Sun, F., Woodrum, C., et al
Helton, J. M., Sun, F., Woodrum, C., et al. 2024, ApJ, 974, 41, doi: 10.3847/1538-4357/ad6867
2024 doi
-
[59]
J., Oesch, P
Herard-Demanche, T., Bouwens, R. J., Oesch, P. A., et al. 2025, MNRAS, 537, 788, doi: 10.1093/mnras/staf030
2025 doi
-
[60]
J., et al
Hill, R., Scott, D., McLeod, D. J., et al. 2024, MNRAS, 528, 5019, doi: 10.1093/mnras/stae346
2024 doi
-
[61]
A., & da Cunha, E
Hodge, J. A., & da Cunha, E. 2020, Royal Society Open Science, 7, 200556, doi: 10.1098/rsos.200556
2020 doi
-
[62]
A., Swinbank, A
Hodge, J. A., Swinbank, A. M., Simpson, J. M., et al. 2016, ApJ, 833, 103, doi: 10.3847/1538-4357/833/1/103
2016 doi
-
[63]
Y .-Y .,´Alvarez-M´arquez, J., Coe, D., et al
Hsiao, T. Y .-Y .,´Alvarez-M´arquez, J., Coe, D., et al. 2024, ApJ, 973, 81, doi: 10.3847/1538-4357/ad6562
2024 doi
-
[64]
H., Serjeant, S., Dunlop, J., et al
Hughes, D. H., Serjeant, S., Dunlop, J., et al. 1998, Nature, 394, 241, doi: 10.1038/28328
1998 doi
-
[65]
Hygate, A. P. S., Hodge, J. A., da Cunha, E., et al. 2023, MNRAS, 524, 1775, doi: 10.1093/mnras/stad1212
2023 doi
-
[66]
Inami, H., Algera, H. S. B., Schouws, S., et al. 2022, MNRAS, 515, 3126, doi: 10.1093/mnras/stac1779
2022 doi
- [67]
-
[68]
C., Suess, K
Ji, Z., Williams, C. C., Suess, K. A., et al. 2024b, arXiv e-prints, arXiv:2401.00934, doi: 10.48550/arXiv.2401.00934
-
[69]
2022, MNRAS, 511, 4005, doi: 10.1093/mnras/stab3710
Kannan, R., Garaldi, E., Smith, A., et al. 2022, MNRAS, 511, 4005, doi: 10.1093/mnras/stab3710
2022 doi
-
[70]
J., Matthee, J., et al
Kashino, D., Lilly, S. J., Matthee, J., et al. 2023, ApJ, 950, 66, doi: 10.3847/1538-4357/acc588
2023 doi
-
[71]
C., & Evans, N
Kennicutt, R. C., & Evans, N. J. 2012, ARA&A, 50, 531, doi: 10.1146/annurev-astro-081811-125610
2012 doi
- [72]
-
[73]
S., et al
Laporte, N., Zitrin, A., Ellis, R. S., et al. 2021, MNRAS, 505, 4838, doi: 10.1093/mnras/stab191 Le´sniewska, A., & Michałowski, M. J. 2019, A&A, 624, L13, doi: 10.1051/0004-6361/201935149
2021 doi
-
[74]
P., Walter, F., et al
Li, J., Venemans, B. P., Walter, F., et al. 2022, ApJ, 930, 27, doi: 10.3847/1538-4357/ac61d7
2022 doi
-
[75]
J., Sarron, F., et al
Li, Q., Conselice, C. J., Sarron, F., et al. 2025, MNRAS, 539, 1796, doi: 10.1093/mnras/staf543
2025 doi
-
[76]
2020, ApJ, 889, 80, doi: 10.3847/1538-4357/ab607f
Lim, C.-F., Wang, W.-H., Smail, I., et al. 2020, ApJ, 889, 80, doi: 10.3847/1538-4357/ab607f
2020 doi
-
[77]
2025, arXiv e-prints, arXiv:2504.08039, doi: 10.48550/arXiv.2504.08039
Lin, X., Fan, X., Wang, F., et al. 2025, arXiv e-prints, arXiv:2504.08039, doi: 10.48550/arXiv.2504.08039
2025 doi
- [78]
-
[79]
S., Antwi-Danso, J., Lambrides, E
Long, A. S., Antwi-Danso, J., Lambrides, E. L., et al. 2024b, ApJ, 970, 68, doi: 10.3847/1538-4357/ad4cea
-
[80]
C., Roper, W., Vijayan, A
Lovell, C. C., Roper, W., Vijayan, A. P., et al. 2023, MNRAS, 525, 5520, doi: 10.1093/mnras/stad2550
2023 doi
-
[81]
2011, A&A, 532, A90, doi: 10.1051/0004-6361/201117107
Lutz, D., Poglitsch, A., Altieri, B., et al. 2011, A&A, 532, A90, doi: 10.1051/0004-6361/201117107
2011 doi
-
[82]
H., & Alberts, S
Lyu, J., Rieke, G. H., & Alberts, S. 2016, ApJ, 816, 85, doi: 10.3847/0004-637X/816/2/85
2016 doi
-
[83]
2024, ApJ, 975, 87, doi: 10.3847/1538-4357/ad7b32
Ma, Z., Sun, B., Cheng, C., et al. 2024, ApJ, 975, 87, doi: 10.3847/1538-4357/ad7b32
2024 doi
-
[84]
2014, ARA&A, 52, 415, doi: 10.1146/annurev-astro-081811-125615
Madau, P., & Dickinson, M. 2014, ARA&A, 52, 415, doi: 10.1146/annurev-astro-081811-125615
2014 doi
-
[85]
P., et al
Mazzucchelli, C., Decarli, R., Farina, E. P., et al. 2019, ApJ, 881, 163, doi: 10.3847/1538-4357/ab2f75
2019 doi
-
[86]
M., Long, A
McKinney, J., Casey, C. M., Long, A. S., et al. 2025, ApJ, 979, 229, doi: 10.3847/1538-4357/ada357
2025 doi
-
[87]
G., Power, C., & Robotham, A
Murray, S. G., Power, C., & Robotham, A. S. G. 2013, Astronomy and Computing, 3, 23, doi: 10.1016/j.ascom.2013.11.001
2013 doi
-
[88]
P., Oesch, P
Naidu, R. P., Oesch, P. A., Brammer, G., et al. 2025, arXiv e-prints, arXiv:2505.11263. https://arxiv.org/abs/2505.11263
2025
-
[89]
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
2019 doi
-
[90]
T., Schulz, B., Levenson, L., et al
Nguyen, H. T., Schulz, B., Levenson, L., et al. 2010, A&A, 518, L5, doi: 10.1051/0004-6361/201014680
2010 doi
-
[91]
2009, A&A, 507, 1793, doi: 10.1051/0004-6361/200912497
Noll, S., Burgarella, D., Giovannoli, E., et al. 2009, A&A, 507, 1793, doi: 10.1051/0004-6361/200912497
2009 doi
- [92]
-
[93]
J., Bock, J., Altieri, B., et al
Oliver, S. J., Bock, J., Altieri, B., et al. 2012, MNRAS, 424, 1614, doi: 10.1111/j.1365-2966.2012.20912.x 14
2012
-
[94]
2021, A&A, 652, A66, doi: 10.1051/0004-6361/202039696 P´erez-Gonz´alez, P
Pensabene, A., Decarli, R., Ba˜nados, E., et al. 2021, A&A, 652, A66, doi: 10.1051/0004-6361/202039696 P´erez-Gonz´alez, P. G., Rinaldi, P., Caputi, K. I., et al. 2024, ApJL, 969, L10, doi: 10.3847/2041-8213/ad517b
2021 doi
-
[95]
2018, MNRAS, 475, 648, doi: 10.1093/mnras/stx3112
Pillepich, A., Nelson, D., Hernquist, L., et al. 2018, MNRAS, 475, 648, doi: 10.1093/mnras/stx3112
2018 doi
-
[96]
F., Schaye, J., et al
Pizzati, E., Hennawi, J. F., Schaye, J., et al. 2024, MNRAS, 534, 3155, doi: 10.1093/mnras/stae2307
2024 doi
-
[97]
S., & Galametz, M
Popping, G., Somerville, R. S., & Galametz, M. 2017, MNRAS, 471, 3152, doi: 10.1093/mnras/stx1545
2017 doi
- [98]
-
[99]
A., Bradford, C
Riechers, D. A., Bradford, C. M., Clements, D. L., et al. 2013, Nature, 496, 329, doi: 10.1038/nature12050
2013 doi
-
[100]
H., Alberts, S., Shivaei, I., et al
Rieke, G. H., Alberts, S., Shivaei, I., et al. 2024, ApJ, 975, 83, doi: 10.3847/1538-4357/ad6cd2
2024 doi
-
[101]
H., Alonso-Herrero, A., Weiner, B
Rieke, G. H., Alonso-Herrero, A., Weiner, B. J., et al. 2009, ApJ, 692, 556, doi: 10.1088/0004-637X/692/1/556
2009 doi
-
[102]
J., Kelly, D
Rieke, M. J., Kelly, D. M., Misselt, K., et al. 2023, PASP, 135, 028001, doi: 10.1088/1538-3873/acac53
2023 doi
- [103]
-
[104]
D., Tacchella, S., et al
Robertson, B., Johnson, B. D., Tacchella, S., et al. 2024, ApJ, 970, 31, doi: 10.3847/1538-4357/ad463d
2024 doi
- [105]
-
[106]
L., Bressan, A., & Danese, L
Silva, L., Granato, G. L., Bressan, A., & Danese, L. 1998, ApJ, 509, 103, doi: 10.1086/306476
1998 doi
-
[107]
M., Smail, I., Swinbank, A
Simpson, J. M., Smail, I., Swinbank, A. M., et al. 2015, ApJ, 807, 128, doi: 10.1088/0004-637X/807/2/128
2015 doi
-
[108]
M., Smail, I., Swinbank, A
Simpson, J. M., Smail, I., Swinbank, A. M., et al. 2019, ApJ, 880, 43, doi: 10.3847/1538-4357/ab23ff
2019 doi
-
[109]
J., & Blain, A
Smail, I., Ivison, R. J., & Blain, A. W. 1997, ApJL, 490, L5, doi: 10.1086/311017
1997 doi
-
[110]
F., Lotz, J
Snyder, G. F., Lotz, J. M., Rodriguez-Gomez, V ., et al. 2017, MNRAS, 468, 207, doi: 10.1093/mnras/stx487
2017 doi
-
[111]
L., Weiss, A., De Breuck, C., et al
Strandet, M. L., Weiss, A., De Breuck, C., et al. 2017, ApJL, 842, L15, doi: 10.3847/2041-8213/aa74b0
2017 doi
-
[112]
2022, ApJ, 932, 77, doi: 10.3847/1538-4357/ac6e3f
Sun, F., Egami, E., Fujimoto, S., et al. 2022, ApJ, 932, 77, doi: 10.3847/1538-4357/ac6e3f
2022 doi
-
[113]
M., Egami, E., et al
Sun, F., Helton, J. M., Egami, E., et al. 2024, ApJ, 961, 69, doi: 10.3847/1538-4357/ad07e3
2024 doi
-
[114]
2025a, ApJ, 980, 12, doi: 10.3847/1538-4357/ad9d0e
Sun, F., Wang, F., Yang, J., et al. 2025a, ApJ, 980, 12, doi: 10.3847/1538-4357/ad9d0e
- [115]
-
[116]
2019, ApJ, 874, 27, doi: 10.3847/1538-4357/ab0374
Tamura, Y ., Mawatari, K., Hashimoto, T., et al. 2019, ApJ, 874, 27, doi: 10.3847/1538-4357/ab0374
2019 doi
-
[117]
2014, ApJ, 782, 68, doi: 10.1088/0004-637X/782/2/68
Toft, S., Smolˇci´c, V ., Magnelli, B., et al. 2014, ApJ, 782, 68, doi: 10.1088/0004-637X/782/2/68
2014 doi
-
[118]
2025, MNRAS, 537, 1826, doi: 10.1093/mnras/staf128
Turner, C., Tacchella, S., D’Eugenio, F., et al. 2025, MNRAS, 537, 1826, doi: 10.1093/mnras/staf128
2025 doi
-
[119]
Valentino, F., Brammer, G., Gould, K. M. L., et al. 2023, ApJ, 947, 20, doi: 10.3847/1538-4357/acbefa van Leeuwen, I. F., Bouwens, R. J., van der Werf, P. P., et al. 2024, MNRAS, 534, 2062, doi: 10.1093/mnras/stae2171
2023 doi
-
[120]
P., Neeleman, M., Walter, F., et al
Venemans, B. P., Neeleman, M., Walter, F., et al. 2019, ApJL, 874, L30, doi: 10.3847/2041-8213/ab11cc
2019 doi
-
[121]
P., Walter, F., Neeleman, M., et al
Venemans, B. P., Walter, F., Neeleman, M., et al. 2020, ApJ, 904, 130, doi: 10.3847/1538-4357/abc563
2020 doi
-
[122]
D., Crawford, T
Vieira, J. D., Crawford, T. M., Switzer, E. R., et al. 2010, ApJ, 719, 763, doi: 10.1088/0004-637X/719/1/763
2010 doi
-
[123]
2012, Nature, 486, 233, doi: 10.1038/nature11073
Walter, F., Decarli, R., Carilli, C., et al. 2012, Nature, 486, 233, doi: 10.1038/nature11073
2012 doi
-
[124]
2019, ApJ, 884, 30, doi: 10.3847/1538-4357/ab2be5
Wang, F., Yang, J., Fan, X., et al. 2019, ApJ, 884, 30, doi: 10.3847/1538-4357/ab2be5
2019 doi
-
[125]
2021, ApJ, 908, 53, doi: 10.3847/1538-4357/abcc5e
Wang, F., Fan, X., Yang, J., et al. 2021, ApJ, 908, 53, doi: 10.3847/1538-4357/abcc5e
2021 doi
-
[126]
F., et al
Wang, F., Yang, J., Hennawi, J. F., et al. 2023, ApJL, 951, L4, doi: 10.3847/2041-8213/accd6f
2023 doi
-
[127]
2019, Nature, 572, 211, doi: 10.1038/s41586-019-1452-4
Wang, T., Schreiber, C., Elbaz, D., et al. 2019, Nature, 572, 211, doi: 10.1038/s41586-019-1452-4
2019 doi
-
[128]
K., et al
Watson, D., Christensen, L., Knudsen, K. K., et al. 2015, Nature, 519, 327, doi: 10.1038/nature14164
2015 doi
-
[129]
P., Topping, M
Whitler, L., Stark, D. P., Topping, M. W., et al. 2025, arXiv e-prints, arXiv:2501.00984, doi: 10.48550/arXiv.2501.00984
2025 doi
-
[130]
C., Alberts, S., Ji, Z., et al
Williams, C. C., Alberts, S., Ji, Z., et al. 2024, ApJ, 968, 34, doi: 10.3847/1538-4357/ad3f17
2024 doi
-
[131]
2019, ApJ, 878, 73, doi: 10.3847/1538-4357/ab0d22
Yamaguchi, Y ., Kohno, K., Hatsukade, B., et al. 2019, ApJ, 878, 73, doi: 10.3847/1538-4357/ab0d22
2019 doi
-
[132]
2023, ApJL, 951, L5, doi: 10.3847/2041-8213/acc9c8
Yang, J., Wang, F., Fan, X., et al. 2023, ApJL, 951, L5, doi: 10.3847/2041-8213/acc9c8
2023 doi
-
[133]
A., Monta˜na, A., Hughes, D
Zavala, J. A., Monta˜na, A., Hughes, D. H., et al. 2018, Nature Astronomy, 2, 56, doi: 10.1038/s41550-017-0297-8
2018 doi
-
[134]
A., Castellano, M., Akins, H
Zavala, J. A., Castellano, M., Akins, H. B., et al. 2025, Nature Astronomy, 9, 155, doi: 10.1038/s41550-024-02397-3
2025 doi
-
[135]
2023, MNRAS, 520, 2445, doi: 10.1093/mnras/stad125
Ziparo, F., Ferrara, A., Sommovigo, L., & Kohandel, M. 2023, MNRAS, 520, 2445, doi: 10.1093/mnras/stad125
2023 doi
-
[136]
2015, ApJL, 810, L12, doi: 10.1088/2041-8205/810/1/L12
Zitrin, A., Labb´e, I., Belli, S., et al. 2015, ApJL, 810, L12, doi: 10.1088/2041-8205/810/1/L12
2015 doi
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