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arxiv: 2604.11892 · v2 · pith:TRYZLLLTnew · submitted 2026-04-13 · 🌌 astro-ph.GA · astro-ph.CO

A Post-starburst Galaxy Undergoing Ram-pressure Stripping at Redshift 3.06

Pith reviewed 2026-05-22 09:55 UTC · model grok-4.3

classification 🌌 astro-ph.GA astro-ph.CO
keywords ram-pressure strippingpost-starburst galaxieshigh-redshift galaxiesenvironmental quenchinggalaxy evolutionearly universe galaxies
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The pith

Ram-pressure stripping is directly observed removing gas from a post-starburst galaxy at redshift 3.06.

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The paper shows that a galaxy which has just stopped forming stars is losing its cold gas and dust as it moves through a dense group environment at redshift 3.06. This is the earliest direct detection of ram-pressure stripping. A sympathetic reader would care because it suggests that environmental effects can shut down star formation much earlier than expected, helping to explain the many quiescent massive galaxies seen in the first billion years of the universe. It challenges the idea from simulations that such stripping should be less common at high redshifts.

Core claim

We present direct evidence of ram-pressure stripping in a post-starburst galaxy residing in a galaxy group at redshift 3.06. Spectroscopic diagnostics and spectral energy distribution modeling reveal the ongoing removal of cold gas and dust, coincident with the abrupt cessation of star formation. The results imply that ram-pressure stripping can operate at z greater than 3, suggesting a highly stochastic and impulsive stripping within a clumpy, filamentary intra-group and circumgalactic medium. These observations extend environmental quenching well into the epoch of galaxy assembly.

What carries the argument

ram-pressure stripping, the process in which a galaxy moving through a dense intra-group medium loses its interstellar gas and dust due to ram pressure

If this is right

  • Ram-pressure stripping can operate at redshifts greater than 3.
  • The stripping is highly stochastic and impulsive within a clumpy, filamentary medium.
  • Environmental quenching extends into the epoch of galaxy assembly.
  • RPS serves as a pathway to rapid quenching in early galaxy groups and protoclusters.

Where Pith is reading between the lines

These are editorial extensions of the paper, not claims the author makes directly.

  • Galaxy evolution simulations at high redshift may require better modeling of clumpy gas distributions to predict quenching accurately.
  • Other massive quiescent galaxies observed at high redshift could have experienced similar environmental stripping.
  • This finding opens the possibility of RPS playing a significant role in shaping the galaxy population during the epoch of reionization and beyond.

Load-bearing premise

The spectroscopic and modeling data correctly identify the gas removal as ram-pressure stripping instead of outflows or tidal forces.

What would settle it

Observations showing the absence of a dense surrounding medium around the galaxy or the presence of tidal tails indicating mergers would falsify the ram-pressure stripping claim.

Figures

Figures reproduced from arXiv: 2604.11892 by Anton M. Koekemoer, Bjorn H. C. Emonts, Christopher N. A. Willmer, Eiichi Egami, Fengwu Sun, Franz E. Bauer, Fujiang Yu, Fuyan Bian, J. Xaiver Prochaska, Ming Sun, Mingyu Li, Seiji Fujimoto, Vasily Kokorev, Xiaohui Fan, Xiaojing Lin, Yunjing Wu, Zechang Sun, Zheng Cai, Zihao Li.

Figure 1
Figure 1. Figure 1: JWST NIRCam imaging of JF-z3 and the associated galaxy group at z=3.06. a [PITH_FULL_IMAGE:figures/full_fig_p003_1.png] view at source ↗
Figure 2
Figure 2. Figure 2: JWST NIRSpec prism spectra and spectral energy distribution modeling for JF-z3. a [PITH_FULL_IMAGE:figures/full_fig_p004_2.png] view at source ↗
Figure 3
Figure 3. Figure 3: Observational evidence of ram pressure stripping in JF-z3. a [PITH_FULL_IMAGE:figures/full_fig_p006_3.png] view at source ↗
Figure 4
Figure 4. Figure 4: Star formation rate (SFR) and stellar mass of JF-z3 as a function of cosmic time from spectral energy [PITH_FULL_IMAGE:figures/full_fig_p008_4.png] view at source ↗
Figure 5
Figure 5. Figure 5: JWST NIRSpec spectrum for the extended emission. a [PITH_FULL_IMAGE:figures/full_fig_p011_5.png] view at source ↗
Figure 6
Figure 6. Figure 6: Key spectral features in the NIRSpec prism data. a [PITH_FULL_IMAGE:figures/full_fig_p012_6.png] view at source ↗
Figure 7
Figure 7. Figure 7: Identification and overview of the galaxy group at [PITH_FULL_IMAGE:figures/full_fig_p013_7.png] view at source ↗
Figure 8
Figure 8. Figure 8: JWST NIRCam imaging with and without emission line bands. a [PITH_FULL_IMAGE:figures/full_fig_p014_8.png] view at source ↗
Figure 9
Figure 9. Figure 9: Surface brightness image for the continuum and emission lines. a-b [PITH_FULL_IMAGE:figures/full_fig_p015_9.png] view at source ↗
Figure 10
Figure 10. Figure 10: Chandra X-ray images of the A2744 cluster. a [PITH_FULL_IMAGE:figures/full_fig_p016_10.png] view at source ↗
read the original abstract

Understanding how galaxies ignite and extinguish their star formation remains a cornerstone question in modern astrophysics. Recent JWST surveys have revealed an overabundance of massive quiescent galaxies in the first billion years of the Universe, challenging current models of galaxy evolution. In the nearby Universe, ram pressure stripping (RPS) is a major environmental mechanism capable of rapidly shutting down star formation, yet direct observation remains scarce at redshift $z\gtrsim1$, and its role at $z>2$ is even poorly constrained by simulations. Here, we utilize JWST and ALMA observations to present direct evidence of RPS in the post-starburst galaxy A2744-JF-z3, residing in a galaxy group at redshift 3.06, the earliest such detection to date. Spectroscopic diagnostics and spectral energy distribution modeling reveal the ongoing removal of cold gas and dust, coincident with the abrupt cessation of star formation. Contrary to hydrodynamical simulations that predict a reduced incidence of RPS at high redshift, our results instead imply that RPS can operate at $z>3$, suggesting a highly stochastic and impulsive stripping within a clumpy, filamentary intra-group and circumgalactic medium. These observations extend environmental quenching well into the epoch of galaxy assembly, highlighting RPS as a previously overlooked decisive pathway to rapid quenching in nascent groups and protoclusters in the early Universe.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Referee Report

2 major / 2 minor

Summary. The manuscript reports JWST and ALMA observations of the post-starburst galaxy A2744-JF-z3 at redshift 3.06 in a galaxy group. It claims direct evidence of ram-pressure stripping (RPS) via spectroscopic diagnostics and SED modeling that show ongoing cold gas and dust removal coincident with abrupt quenching. The authors argue this is the earliest such detection, implying RPS can operate at z>3 in a stochastic, impulsive manner within clumpy intra-group media, contrary to some hydrodynamical simulations that predict reduced RPS incidence at high redshift.

Significance. If the RPS identification holds, the result would extend environmental quenching mechanisms into the epoch of galaxy assembly at z~3 and provide an observational counterpoint to simulations. The multi-wavelength approach combining JWST spectroscopy with ALMA continuum and line data is a clear strength for constraining gas and dust content in a high-redshift group environment.

major comments (2)
  1. [Abstract and §3] Abstract and §3 (Results): the claim of 'direct evidence' of RPS rests on spectroscopic diagnostics and SED modeling, yet no quantitative thresholds, kinematic maps, or morphological metrics (e.g., one-sided truncation or tail alignment with intra-group velocity) are supplied to exclude AGN-driven outflows or tidal interactions, both of which produce overlapping gas-removal signatures at z>3.
  2. [§4] §4 (Discussion): the assertion that the observations imply 'highly stochastic and impulsive stripping' and contradict hydrodynamical simulations is not supported by any direct comparison to simulated RPS morphologies or pressure estimates at z=3; the data-model tension is stated but not quantified.
minor comments (2)
  1. [Figure 2] Figure 2: the ALMA moment-0 map lacks a clear scale bar for the intra-group velocity vector, making it difficult to assess alignment with any putative RPS tail.
  2. [§3.2] The SED modeling section does not report the reduced chi-squared or parameter uncertainties for the post-starburst template fits.

Simulated Author's Rebuttal

2 responses · 1 unresolved

We thank the referee for their constructive and detailed review. The comments highlight important points about the strength of the RPS identification and the comparison to simulations. We respond to each major comment below and indicate where revisions will be made to the manuscript.

read point-by-point responses
  1. Referee: [Abstract and §3] Abstract and §3 (Results): the claim of 'direct evidence' of RPS rests on spectroscopic diagnostics and SED modeling, yet no quantitative thresholds, kinematic maps, or morphological metrics (e.g., one-sided truncation or tail alignment with intra-group velocity) are supplied to exclude AGN-driven outflows or tidal interactions, both of which produce overlapping gas-removal signatures at z>3.

    Authors: We appreciate the referee pointing out the need for clearer exclusion of alternative mechanisms. Our identification of RPS is based on the temporal coincidence of abrupt quenching (from JWST spectroscopy and SED modeling) with ongoing removal of cold gas and dust (ALMA continuum and line detections) in a group environment. In the revised manuscript we will add a new subsection in §3 that provides quantitative estimates of the gas removal rate from the SED-derived dust and gas masses, discusses the absence of broad or high-velocity emission lines that would indicate AGN-driven outflows, and notes the lack of obvious tidal features or companions in the JWST imaging. We will also estimate the required ram pressure and compare it to plausible intra-group densities. However, the existing JWST and ALMA data do not permit spatially resolved kinematic maps or detailed tail morphology at the necessary resolution. revision: partial

  2. Referee: [§4] §4 (Discussion): the assertion that the observations imply 'highly stochastic and impulsive stripping' and contradict hydrodynamical simulations is not supported by any direct comparison to simulated RPS morphologies or pressure estimates at z=3; the data-model tension is stated but not quantified.

    Authors: We agree that the discussion would benefit from a more explicit comparison. The inference of stochastic and impulsive stripping follows from the short quenching timescale (<100 Myr) derived from SED fitting combined with the detection of residual cold gas and dust in a clumpy group environment. In the revised §4 we will add a quantitative comparison of our estimated ram-pressure stripping rate and intra-group medium properties to published high-redshift simulation results, highlighting the regions of parameter space where the observations suggest higher RPS efficiency than currently modeled. This will make the claimed tension explicit without requiring new simulation runs. revision: yes

standing simulated objections not resolved
  • Spatially resolved kinematic maps or high-resolution morphological metrics (e.g., one-sided truncation or tail alignment) cannot be supplied because the current JWST and ALMA observations lack the spatial resolution and depth needed for such analysis.

Circularity Check

0 steps flagged

Purely observational claim with no derivation chain or self-referential reduction

full rationale

The paper reports JWST and ALMA observations of a post-starburst galaxy at z=3.06 and interprets the data as direct evidence of ram-pressure stripping. No equations, fitted parameters, or model derivations are presented that reduce to the inputs by construction. Spectroscopic diagnostics and SED modeling are standard observational tools whose application does not constitute a self-definitional loop or a prediction forced by prior fitting within the paper. Self-citations, if present, are not load-bearing for the central claim, which rests on external data rather than internal redefinition. The distinction from outflows or tidal effects is interpretive and subject to correctness critique, but does not meet the criteria for circularity.

Axiom & Free-Parameter Ledger

0 free parameters · 0 axioms · 0 invented entities

The central claim rests on the assumption that the observed spectral and SED features uniquely indicate RPS; no free parameters, axioms, or invented entities are introduced in the abstract.

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Works this paper leans on

86 extracted references · 86 canonical work pages · 3 internal anchors

  1. [1]

    2016, AJ, 152, 32, doi: 10.3847/0004-6256/152/2/32

    Abramson, A., Kenney, J., Crowl, H., & Tal, T. 2016, AJ, 152, 32, doi: 10.3847/0004-6256/152/2/32

  2. [2]

    L., Georgakakis, A., et al

    Aird, J., Coil, A. L., Georgakakis, A., et al. 2015, MNRAS, 451, 1892, doi: 10.1093/mnras/stv1062

  3. [3]

    Alberts, A

    Alberts, S., & Noble, A. 2022, Univ, 8, 554, doi: 10.3390/universe8110554 ´Alvarez-M´ arquez, J., Colina, L., Crespo-Gomez, A., et al. 2026, arXiv, arXiv:2602.02323, doi: 10.48550/arXiv.2602.02323

  4. [4]

    J., & Scott, P

    Asplund, M., Grevesse, N., Sauval, A. J., & Scott, P. 2009, ARA&A, 47, 481, doi: 10.1146/annurev.astro.46.060407.145222

  5. [5]

    , keywords =

    Baldry, I. K., Balogh, M. L., Bower, R. G., et al. 2006, MNRAS, 373, 469, doi: 10.1111/j.1365-2966.2006.11081.x

  6. [6]

    K., Glazebrook, K., Brinkmann, J., et al

    Baldry, I. K., Glazebrook, K., Brinkmann, J., et al. 2004, ApJ, 600, 681, doi: 10.1086/380092

  7. [7]

    E., et al

    Bezanson, R., Labbe, I., Whitaker, K. E., et al. 2024, ApJ, 974, 92, doi: 10.3847/1538-4357/ad66cf Bogd´ an,´A., Goulding, A. D., Natarajan, P., et al. 2024, NatAs, 8, 126, doi: 10.1038/s41550-023-02111-9

  8. [8]

    , keywords =

    Boselli, A., Fossati, M., & Sun, M. 2022, A&ARv, 30, 3, doi: 10.1007/s00159-022-00140-3

  9. [9]

    C., Fossati, M., et al

    Boselli, A., Cuillandre, J. C., Fossati, M., et al. 2016, A&A, 587, A68, doi: 10.1051/0004-6361/201527795

  10. [10]

    2023, MNRAS, 525, 2087, doi: 10.1093/mnras/stad1704

    Brinchmann, J. 2023, MNRAS, 525, 2087, doi: 10.1093/mnras/stad1704

  11. [11]
  12. [12]

    2023,, 1.11.2 Zenodo, doi: 10.5281/zenodo.8140011 Calabr` o, A., Pentericci, L., Feltre, A., et al

    Bushouse, H., Eisenhamer, J., Dencheva, N., et al. 2023,, 1.11.2 Zenodo, doi: 10.5281/zenodo.8140011 Calabr` o, A., Pentericci, L., Feltre, A., et al. 2023, A&A, 679, A80, doi: 10.1051/0004-6361/202347190

  13. [13]

    C., et al

    Calzetti, D., Armus, L., Bohlin, R. C., et al. 2000, ApJ, 533, 682, doi: 10.1086/308692

  14. [14]

    C., McLure, R

    Carnall, A. C., McLure, R. J., Dunlop, J. S., & Dav´ e, R. 2018, MNRAS, 480, 4379, doi: 10.1093/mnras/sty2169

  15. [15]

    C., McLure, R

    Carnall, A. C., McLure, R. J., Dunlop, J. S., et al. 2019, Monthly Notices of the Royal Astronomical Society, 490, 417, doi: 10.1093/mnras/stz2544

  16. [16]

    C., McLure, R

    Carnall, A. C., McLure, R. J., Dunlop, J. S., et al. 2023, Natur, 619, 716, doi: 10.1038/s41586-023-06158-6 CASA Team, Bean, B., Bhatnagar, S., et al. 2022, PASP, 134, 114501, doi: 10.1088/1538-3873/ac9642

  17. [17]

    D., & Prochaska, J

    Lehnert, M. D., & Prochaska, J. X. 2021, ApJ, 923, 200, doi: 10.3847/1538-4357/ac2b9d

  18. [18]

    2016, MNRAS, 462, 1415, doi: 10.1093/mnras/stw1756

    Chevallard, J., & Charlot, S. 2016, MNRAS, 462, 1415, doi: 10.1093/mnras/stw1756

  19. [19]

    , keywords =

    Cortese, L., Catinella, B., & Smith, R. 2021, PASA, 38, e035, doi: 10.1017/pasa.2021.18

  20. [20]

    J., Kenney, J

    Cramer, W. J., Kenney, J. D. P., Sun, M., et al. 2019, ApJ, 870, 63, doi: 10.3847/1538-4357/aaefff

  21. [21]

    J., Kenney, J

    Cramer, W. J., Kenney, J. D. P., Tonnesen, S., et al. 2021, ApJ, 921, 22, doi: 10.3847/1538-4357/ac1793

  22. [22]

    D., Emonts, B., et al

    Dannerbauer, H., Lehnert, M. D., Emonts, B., et al. 2017, A&A, 608, A48, doi: 10.1051/0004-6361/201730449 D’Eugenio, F., P´ erez-Gonz´ alez, P. G., Maiolino, R., et al. 2024, NatAs, 8, 1443, doi: 10.1038/s41550-024-02345-1

  23. [23]

    J., Lang, D., et al

    Dey, A., Schlegel, D. J., Lang, D., et al. 2019, AJ, 157, 168, doi: 10.3847/1538-3881/ab089d

  24. [24]

    2020, A&A, 636, A73, doi: 10.1051/0004-6361/201936817

    Duras, F., Bongiorno, A., Ricci, F., et al. 2020, A&A, 636, A73, doi: 10.1051/0004-6361/201936817

  25. [25]

    N., & Edge, A

    Ebeling, H., Stephenson, L. N., & Edge, A. C. 2014, ApJL, 781, L40, doi: 10.1088/2041-8205/781/2/L40

  26. [26]

    E., Bialek, J., Busha, M., et al

    Evrard, A. E., Bialek, J., Busha, M., et al. 2008, ApJ, 672, 122, doi: 10.1086/521616 Falc´ on-Barroso, J., S´ anchez-Bl´ azquez, P., Vazdekis, A., et al. 2011, A&A, 532, A95, doi: 10.1051/0004-6361/201116842

  27. [27]

    2016, MNRAS, 455, 2028, doi: 10.1093/mnras/stv2400

    Fossati, M., Fumagalli, M., Boselli, A., et al. 2016, MNRAS, 455, 2028, doi: 10.1093/mnras/stv2400

  28. [28]

    C., Allen, G

    Fruscione, A., McDowell, J. C., Allen, G. E., et al. 2006, in Society of Photo-Optical Instrumentation Engineers (SPIE) Conference Series, Vol. 6270, Observatory Operations: Strategies, Processes, and Systems, ed. D. R. Silva & R. E. Doxsey, 62701V, doi: 10.1117/12.671760

  29. [29]

    J., Zitrin, A., Weaver, J

    Furtak, L. J., Zitrin, A., Weaver, J. R., et al. 2023, MNRAS, 523, 4568, doi: 10.1093/mnras/stad1627 Gaia Collaboration, Brown, A. G. A., Vallenari, A., et al. 2018, A&A, 616, A1, doi: 10.1051/0004-6361/201833051 Gaia Collaboration, Vallenari, A., Brown, A. G. A., et al. 2023, A&A, 674, A1, doi: 10.1051/0004-6361/202243940

  30. [30]

    2024, Natur, 628, 277, doi: 10.1038/s41586-024-07191-9

    Glazebrook, K., Nanayakkara, T., Schreiber, C., et al. 2024, Natur, 628, 277, doi: 10.1038/s41586-024-07191-9

  31. [31]

    , year = 1972, month = aug, volume =

    Gunn, J. E., & Gott, III, J. R. 1972, ApJ, 176, 1, doi: 10.1086/151605

  32. [32]

    L., McLure, R

    Hamadouche, M. L., McLure, R. J., Carnall, A., et al. 2024, arXiv, arXiv:2412.09592, doi: 10.48550/arXiv.2412.09592

  33. [33]

    I., Nelson, E

    Hartley, A. I., Nelson, E. J., Suess, K. A., et al. 2023, MNRAS, 522, 3138, doi: 10.1093/mnras/stad1162

  34. [34]

    R., Indebetouw, R., Brogan, C

    Hunter, T. R., Indebetouw, R., Brogan, C. L., et al. 2023, PASP, 135, 074501, doi: 10.1088/1538-3873/ace216

  35. [35]

    K., Shimizu, I., Iwata, I., & Tanaka, M

    Inoue, A. K., Shimizu, I., Iwata, I., & Tanaka, M. 2014, MNRAS, 442, 1805, doi: 10.1093/mnras/stu936

  36. [36]

    I., & Thuan, T

    Izotov, Y. I., & Thuan, T. X. 2016, MNRAS, 457, 64, doi: 10.1093/mnras/stv2957 J´ achym, P., Sun, M., Kenney, J. D. P., et al. 2017, ApJ, 839, 114, doi: 10.3847/1538-4357/aa6af5 J´ achym, P., Kenney, J. D. P., Sun, M., et al. 2019, ApJ, 883, 145, doi: 10.3847/1538-4357/ab3e6c 18M. Li et al

  37. [37]

    B., Magdis, G

    Jin, S., Sillassen, N. B., Magdis, G. E., et al. 2024, A&A, 683, L4, doi: 10.1051/0004-6361/202348540

  38. [38]

    P., & Nuth, J

    Jones, A. P., & Nuth, J. A. 2011, A&A, 530, A44, doi: 10.1051/0004-6361/201014440

  39. [39]

    Kenney, J. D. P., Abramson, A., & Bravo-Alfaro, H. 2015, AJ, 150, 59, doi: 10.1088/0004-6256/150/2/59

  40. [40]

    C., Remus, R.-S., Seidel, B., et al

    Kimmig, L. C., Remus, R.-S., Seidel, B., et al. 2025, ApJ, 979, 15, doi: 10.3847/1538-4357/ad9472

  41. [41]

    C., & Kim, H.-J

    Koo, B.-C., Raymond, J. C., & Kim, H.-J. 2016, JKAS, 49, 109, doi: 10.5303/JKAS.2016.49.3.109

  42. [42]

    V., & Borgani, S

    Kravtsov, A. V., & Borgani, S. 2012, ARA&A, 50, 353, doi: 10.1146/annurev-astro-081811-125502

  43. [43]

    Kron, R. G. 1980, ApJS, 43, 305, doi: 10.1086/190669

  44. [44]

    A., Kirk, J

    Kroupa, P. 2001, MNRAS, 322, 231, doi: 10.1046/j.1365-8711.2001.04022.x Labb´ e, I., van Dokkum, P., Nelson, E., et al. 2023, Natur, 616, 266, doi: 10.1038/s41586-023-05786-2

  45. [45]

    Lagos, C. d. P., Bravo, M., Tobar, R., et al. 2024, MNRAS, 531, 3551, doi: 10.1093/mnras/stae1024

  46. [46]

    2022, MNRAS, 509, 3938, doi: 10.1093/mnras/stab3280

    Laudari, S., J´ achym, P., Sun, M., et al. 2022, MNRAS, 509, 3938, doi: 10.1093/mnras/stab3280

  47. [47]

    2017, ApJ, 837, 170, doi: 10.3847/1538-4357/aa5ffe

    Byler, N. 2017, ApJ, 837, 170, doi: 10.3847/1538-4357/aa5ffe

  48. [48]

    2024, ApJS, 275, 27, doi: 10.3847/1538-4365/ad812c

    Li, M., Zhang, H., Cai, Z., et al. 2024, ApJS, 275, 27, doi: 10.3847/1538-4365/ad812c

  49. [49]

    J., D’Eugenio, F., Maiolino, R., et al

    Looser, T. J., D’Eugenio, F., Maiolino, R., et al. 2024, Natur, 629, 53, doi: 10.1038/s41586-024-07227-0

  50. [50]

    M., Koekemoer, A., Coe, D., et al

    Lotz, J. M., Koekemoer, A., Coe, D., et al. 2017, ApJ, 837, 97, doi: 10.3847/1538-4357/837/1/97

  51. [51]

    C., Roper, W., Vijayan, A

    Lovell, C. C., Roper, W., Vijayan, A. P., et al. 2023, MNRAS, 525, 5520, doi: 10.1093/mnras/stad2550

  52. [52]

    2025, NatAs, 9, 128, doi: 10.1038/s41550-024-02391-9

    Lu, S., Daddi, E., Maraston, C., et al. 2025, NatAs, 9, 128, doi: 10.1038/s41550-024-02391-9

  53. [53]

    2018, NatAs, 2, 695, doi: 10.1038/s41550-018-0558-1

    Man, A., & Belli, S. 2018, NatAs, 2, 695, doi: 10.1038/s41550-018-0558-1

  54. [54]

    2006, ApJ, 652, 85, doi: 10.1086/508143

    Maraston, C., Daddi, E., Renzini, A., et al. 2006, ApJ, 652, 85, doi: 10.1086/508143

  55. [55]

    M., et al

    Moretti, A., Paladino, R., Poggianti, B. M., et al. 2020, ApJ, 889, 9, doi: 10.3847/1538-4357/ab616a

  56. [56]

    2025, ApJ, 982, 153, doi: 10.3847/1538-4357/adb30f

    Morishita, T., Liu, Z., Stiavelli, M., et al. 2025, ApJ, 982, 153, doi: 10.3847/1538-4357/adb30f

  57. [57]

    P., Matthee, J., Kramarenko, I., et al

    Naidu, R. P., Matthee, J., Kramarenko, I., et al. 2024, arXiv, arXiv:2410.01874, doi: 10.48550/arXiv.2410.01874

  58. [58]

    2024, NatSR, 14, 3724, doi: 10.1038/s41598-024-52585-4

    Nanayakkara, T., Glazebrook, K., Jacobs, C., et al. 2024, NatSR, 14, 3724, doi: 10.1038/s41598-024-52585-4

  59. [59]

    2024, ApJL, 960, L1, doi: 10.3847/2041-8213/ad0e76

    Natarajan, P., Pacucci, F., Ricarte, A., et al. 2024, ApJL, 960, L1, doi: 10.3847/2041-8213/ad0e76

  60. [60]

    B., Gunn J

    Oke, J. B., & Gunn, J. E. 1983, ApJ, 266, 713, doi: 10.1086/160817

  61. [61]

    J., Kovaˇ c, K., et al

    Peng, Y.-j., Lilly, S. J., Kovaˇ c, K., et al. 2010, ApJ, 721, 193, doi: 10.1088/0004-637X/721/1/193

  62. [62]

    D., Sivaramakrishnan, A., Lajoie, C.-P., et al

    Perrin, M. D., Sivaramakrishnan, A., Lajoie, C.-P., et al. 2014, in Society of Photo-Optical Instrumentation Engineers (SPIE) Conference Series, Vol. 9143, Space Telescopes and Instrumentation 2014: Optical, Infrared, and Millimeter Wave, ed. J. M. Oschmann, Jr., M. Clampin, G. G. Fazio, & H. A. MacEwen, 91433X, doi: 10.1117/12.2056689 Planck Collaboratio...

  63. [63]

    M., Ignesti, A., Gitti, M., et al

    Poggianti, B. M., Ignesti, A., Gitti, M., et al. 2019, ApJ, 887, 155, doi: 10.3847/1538-4357/ab5224

  64. [64]

    H., Bezanson, R., Labbe, I., et al

    Price, S. H., Bezanson, R., Labbe, I., et al. 2025, ApJ, 982, 51, doi: 10.3847/1538-4357/adaec1

  65. [65]

    J., Kelly, D

    Rieke, M. J., Kelly, D. M., Misselt, K., et al. 2023, PASP, 135, 028001, doi: 10.1088/1538-3873/acac53

  66. [66]

    D., Balogh, M

    Roberts, I. D., Balogh, M. L., Sok, V., et al. 2026, ApJ, 998, 285, doi: 10.3847/1538-4357/ae3824

  67. [67]

    Sage, L. J. 1990, A&A, 239, 125

  68. [68]

    E., Sanders, R

    Shapley, A. E., Sanders, R. L., Topping, M. W., et al. 2025, ApJ, 980, 242, doi: 10.3847/1538-4357/adad68

  69. [69]

    F., Faucher-Gigu` ere, C.-A., et al

    Shen, X., Hopkins, P. F., Faucher-Gigu` ere, C.-A., et al. 2020, MNRAS, 495, 3252, doi: 10.1093/mnras/staa1381

  70. [70]

    C., Peeples, M

    Simons, R. C., Peeples, M. S., Tumlinson, J., et al. 2020, ApJ, 905, 167, doi: 10.3847/1538-4357/abc5b8

  71. [71]

    L., Jauzac, M., Acebron, A., et al

    Steinhardt, C. L., Jauzac, M., Acebron, A., et al. 2020, ApJS, 247, 64, doi: 10.3847/1538-4365/ab75ed

  72. [72]

    A., Weaver, J

    Suess, K. A., Weaver, J. R., Price, S. H., et al. 2024, ApJ, 976, 101, doi: 10.3847/1538-4357/ad75fe

  73. [73]

    2022, , 935, 110, 10.3847/1538-4357/ac8158

    Treu, T., Roberts-Borsani, G., Bradac, M., et al. 2022, ApJ, 935, 110, doi: 10.3847/1538-4357/ac8158

  74. [74]

    2025, MNRAS, 536, 777, doi: 10.1093/mnras/stae2625

    Vani, A., Ayromlou, M., Kauffmann, G., & Springel, V. 2025, MNRAS, 536, 777, doi: 10.1093/mnras/stae2625

  75. [75]

    2005, ARA&A, 43, 769, doi: 10.1146/annurev.astro.43.072103.150610

    Veilleux, S., Cecil, G., & Bland-Hawthorn, J. 2005, ARA&A, 43, 769, doi: 10.1146/annurev.astro.43.072103.150610

  76. [76]

    2015, A&A, 582, A6, doi: 10.1051/0004-6361/201526551

    Verdugo, C., Combes, F., Dasyra, K., Salom´ e, P., & Braine, J. 2015, A&A, 582, A6, doi: 10.1051/0004-6361/201526551

  77. [77]

    2024, MNRAS, 529, 1299, doi: 10.1093/mnras/stae323

    Vikaeus, A., Zackrisson, E., Wilkins, S., et al. 2024, MNRAS, 529, 1299, doi: 10.1093/mnras/stae323

  78. [78]

    2025, NatAs, 9, 165, doi: 10.1038/s41550-024-02376-8

    Wang, B., Peng, Y., & Cappellari, M. 2025, NatAs, 9, 165, doi: 10.1038/s41550-024-02376-8

  79. [79]

    2022, , 938, L16, 10.3847/2041-8213/ac959e

    Wang, X., Jones, T., Vulcani, B., et al. 2022, ApJL, 938, L16, doi: 10.3847/2041-8213/ac959e

  80. [80]

    M., Lovell, C

    Wilkins, S. M., Lovell, C. C., Irodotou, D., et al. 2024, MNRAS, 527, 7965, doi: 10.1093/mnras/stad3558

Showing first 80 references.