Pith. sign in

REVIEW 3 major objections 4 minor 4 cited by

The JWST EXCELS survey: an extremely metal-poor galaxy at $z=8.271$ hosting an unusual population of massive stars

T0 review · 3 major / 4 minor · reviewed 2026-08-10 · deepseek-v4-flash

Pith's one-line read A compact, extremely metal-poor galaxy at z=8.271 shows ionized gas heated to roughly 34,000 K, and standard stellar population models with a standard IMF cannot supply the needed heating.

desk verdict A genuinely extreme z~8 metal-poor galaxy with robust line measurements, but the claim that standard IMFs fail rests on a geometry-dependent UV-slope argument that a clumpy high-density ISM could evade. read the letter →

arxiv 2501.11099 v4 pith:UDXYIR3Z submitted 2025-01-19 astro-ph.GA astro-ph.SR

classification astro-ph.GAastro-ph.SR
keywords EXCELS-63107extremelymetal-poorgalaxiesJWST/NIRSpecspectroscopyhigh-redshifttop-heavyIMFelectrontemperaturephotoionizationmodellingPopulationIIIstars
verification ladder T0 review T1 audit T2 compute T3 formal

The pith

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

The reading

Using a deep JWST/NIRSpec G395M spectrum, the paper analyses EXCELS-63107, a compact star-forming galaxy at $z=8.271$, and argues that it is one of the most metal-poor galaxies ever observed, with a direct oxygen abundance of $12+\log(\mathrm{O/H}) = 6.89$ (about 1.6 per cent of solar). The spectrum's unusually strong $[{\rm O\,III}]\,\lambda4363$ auroral line relative to $[{\rm O\,III}]\,\lambda5007$ indicates ionized gas heated to roughly 34,000 K, and the paper claims this heating cannot be produced by standard stellar population models with a standard IMF. The preferred explanation is an ionizing source with an effective temperature above 80,000 K, which could arise from a top-heavy IMF producing 10-30 times more stars above 50 solar masses than usual, or from Population III star formation inside a mildly enriched halo. This matters because it pushes direct metallicity measurements into the regime where theoretical models predict a transition in the IMF, with consequences for how the earliest galaxies reionized the Universe.

What carries the argument

The load-bearing diagnostic is the auroral-to-forbidden line ratio $[{\rm O\,III}]\,\lambda4363/[{\rm O\,III}]\,\lambda5007$, which is sensitive to electron temperature and density; the measured value 0.074 is the largest observed in any galaxy to date. The paper interprets it with photoionization models built on the cloudy code, supplying ionizing continua from three stellar SED families: standard BPASS v2.3 models, Wolf-Rayet models from the PoWR grids, and Population III models from Larkin et al. The decisive mechanism is the predicted relation between gas density and nebular continuum strength: high-density H II regions become compact and ionization-bounded, producing red UV slopes, whereas low-density regions are density-bounded with weak nebular continuum and blue UV slopes. Comparing predicted UV slopes with the observed $\beta = -3.3$ rejects the high-density interpretation and selects hot, low-density gas heated by a stellar source with $T_{\rm eff}$ around 80,000 K.

What would settle it

Measure the gas density directly from density-sensitive emission lines, for example the $[{\rm O\,II}]$ 3726/3729 doublet or $[{\rm S\,II}]$ 6716/6731, in a deeper NIRSpec spectrum; if $n_e > 10^{4}\,{\rm cm}^{-3}$ is found, the high-temperature, top-heavy-IMF interpretation is excluded. Alternatively, a roughly 5-8 hour rest-frame UV observation targeting He II 1640 would help: strong He II emission supports the hot-source picture, while its absence at the predicted level disfavours it.

Watch

Extended reading notes

Core claim

The central claim is that the rest-frame optical spectrum of EXCELS-63107 records an extreme physical state: a compact, dust-free H II region with a volume-averaged electron temperature near $T_e \simeq 34{,}000$ K, ionized by stars with $T_{\rm eff} \gtrsim 80{,}000$ K, in gas with metallicity around 1-3 per cent solar. The key assertion is that standard stellar population models with a standard IMF — even very young, very low-metallicity BPASS v2.3 models with binary evolution — cannot generate enough hard ionizing photons to heat the gas to the temperature implied by the $[{\rm O\,III}]\,\lambda4363/\lambda5007$ ratio. To reach this conclusion the paper forward-models the nebular spectrum with photoionization calculations and uses the ultra-blue UV continuum slope ($\beta = -3.3$) to break the degeneracy between hot, low-density gas and cool, high-density gas. Once the high-density solution is rejected, the high-temperature solution requires an ionizing source that standard stellar models do not provide, which the paper interprets as evidence for an excess of very massive stars, possibly a top-heavy IMF, while leaving a Population III origin open.

Load-bearing premise

The conclusion that the gas is hot rather than dense rests on the photoionization models' prediction that a high-density interstellar medium produces compact, ionization-bounded H II regions whose nebular continuum reddens the UV slope; if that predicted beta-density relation is wrong, or if the BPASS v2.3 grid is not a fair representative of standard stellar populations, the need for an 80,000 K ionizing source and a top-heavy IMF disappears.

Editorial extensions

If this is right

  • If the central claim holds, EXCELS-63107 becomes one of the lowest-metallicity galaxies ever measured via the direct electron-temperature method, at a redshift where such measurements are extremely rare.
  • It implies that standard stellar population synthesis models are missing an ionizing-continuum component present in at least some very metal-poor high-redshift galaxies, so inferences from such models may be biased for the most metal-poor systems.
  • A 10-30 times excess of stars above 50 solar masses would lower the inferred stellar mass and star-formation rate of this object by roughly an order of magnitude compared with standard-IMF estimates.
  • The best-fitting models predict detectable rest-frame UV high-ionization lines, notably He II 1640, with about 5-8 hours of NIRSpec G235M exposure, giving a direct observational test.
  • The result supports the theoretical expectation that the IMF shifts top-heavy below roughly 0.01-0.1 solar metallicity, tying high-redshift observations to predictions from low-metallicity star formation theory.

Reading between the lines

Editorial extensions of the paper, not claims the author makes directly.

  • If this single object is representative, the fraction of z~8 galaxies at roughly one per cent solar metallicity could be near ten per cent, meaning current mass-metallicity relations at these redshifts may be missing the most metal-poor tail.
  • The density-bounded geometry and escape fraction of 0.5-0.7 inferred here, if common among compact metal-poor starbursts, would make such systems efficient contributors of ionizing photons to the intergalactic medium during reionization.
  • A direct density measurement, for example from the [O II] 3726/3729 or [S II] 6716/6731 doublets, would settle the hot-versus-dense interpretation; recovering $n_e$ above $10^4$ cm$^{-3}$ would remove the need for a top-heavy IMF in this object.
  • The same two-observable strategy — UV continuum slope plus auroral line ratio — could be applied to larger JWST samples to map where and when the standard IMF breaks down.
Share X Bluesky LinkedIn Reddit HN

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, and a circularity audit.

Referee Report

3 major / 4 minor

Summary. The paper presents JWST/NIRSpec G395M spectroscopy of EXCELS-63107, a compact star-forming galaxy at z=8.271 with an ultra-blue UV continuum slope beta=-3.3±0.3 and a very high [OIII]lambda4363/[OIII]lambda5007 ratio of 0.074±0.016. A four-parameter pyneb forward model yields a high electron temperature (Te ~ 3.9e4 K) and a low oxygen abundance (12+log(O/H)=6.83, rising to 6.89 after an ionization correction), making this one of the lowest direct-method metallicities known. Cloudy photoionization models with BPASS v2.3, Wolf-Rayet, and Pop III ionizing SEDs are run over a large grid, and the authors conclude that standard-IMF BPASS models cannot reproduce the high [OIII]4363/[OIII]5007 ratio unless the gas is very dense, and that the observed blue UV slope excludes the dense branch. They therefore infer Teff > 80,000 K, a density-bounded HII region with high escape fraction, and a top-heavy IMF or Pop III stars as the ionizing source.

Significance. If the central conclusion holds, the paper is important: it would provide one of the most extreme direct-method metallicity measurements at z>8 and the strongest spectroscopic evidence yet for an ionizing spectrum harder than standard stellar population models can produce. The observational measurements appear careful, the line detections are clearly presented, the model grids are transparent, and the paper quantifies the fits in Table 5. The key novelty — the combination of extreme [OIII]4363/[OIII]5007, blue UV slope, and low metallicity — is genuinely interesting. However, the headline claim that standard IMF stellar populations are excluded is not uniquely determined by the data: it rests on a specific smooth, spherical, ionization-bounded geometry assumed in the cloudy models, and the statistical preference over standard models is modest. The direct-method metallicity and the extreme line ratios are likely robust; the inference about the IMF is more fragile.

major comments (3)
  1. [Section 5.2.2-5.2.3, Figs. 7-8]
  2. [Section 5.2.4, Table 5]
  3. [Section 3.2 / Section 5.2.1]
minor comments (4)
  1. [Section 7, item (vii); Section 7, item (vi); Table 5]
  2. [Fig. 4 caption]
  3. [Sections 5.2.4 and 6.2]
  4. [Section 5.1]

Circularity Check

1 steps flagged · score 2.0 of 10

Minor circularity: Ne/O fitted from the same [NeIII]/[OIII] line data is reused as a cloudy input and then scored as a prediction; the central standard-IMF exclusion is otherwise independent and not circular.

  1. fitted input called prediction [Section 5.2 (Table 4) and Section 5.2.4 (Fig. 9)]
    "We set the Ne/O abundance to the best-fitting value from our pyneb analysis. ... In this figure, the chi2 has been calculated by comparing the following cloudy model outputs to their observed values: [OIII]4363/[OIII]5007, [OIII]5007/Hbeta, [NeIII]3869/[OIII]5007, beta and L[OIII]."

    The pyneb fit determines log(Ne/O) from the same [NeIII]/Hbeta and [OIII]/Hbeta fluxes that define the observed [NeIII]/[OIII] ratio. Fixing this fitted abundance as a cloudy input and then scoring cloudy on [NeIII]/[OIII] makes that score partly a consistency check rather than an independent prediction, because in the highly ionized low-metallicity regime both Ne2+ and O2+ dominate and the line ratio is nearly set by the input Ne/O ratio. This contributes to the chi2 gap between BPASS and WR/PopIII models, but it is not the main driver of the standard-IMF exclusion, which rests on the [OIII]4363/[OIII]5007 ratio and the independently observed UV slope.

full rationale

I walked the derivation chain. The electron temperature and oxygen abundance are obtained from a four-parameter pyneb fit to the observed line ratios, which is a standard direct-method inference and not circular. The subsequent cloudy photoionization models use external BPASS, PoWR, and Pop III stellar SED grids, none of which are fitted to the target electron temperature, and the observed UV continuum slope beta is an independent photometric measurement. The rejection of the high-density branch in Fig. 8 is model-dependent because it assumes smooth spherical H II regions, but it is not circular: beta is an observable compared against model predictions, not an input that constructs the conclusion. The one genuinely circular element is the Ne/O abundance treatment: the paper fixes log(Ne/O) to the pyneb best-fit value and then includes [NeIII]/[OIII] among the cloudy chi2 constraints, even though that ratio largely drove the fitted Ne/O. This is a minor fitted-input-as-prediction issue and is not load-bearing for the central claim that standard IMF models cannot heat the gas, which is carried by the auroral-to-forbidden oxygen ratio and the UV slope. The direct-method metallicity and the extreme line ratios remain robust regardless of this step. Overall circularity is minor, so the paper deserves a low score rather than a charge of central circularity.

Assumptions & free parameters 5 free parameters · 6 assumptions · 0 invented entities

The central claim rests on the pyneb fit parameters, the cloudy model grid choices, and the assumption that BPASS v2.3 represents the hardest standard-IMF SEDs. The electron density is effectively a free parameter that is only weakly constrained by line ratios; the final low-density choice is driven by the UV slope from the cloudy geometry. No new physical entities are introduced.

free parameters (5)
  • pyneb O2+/H+ abundance = -5.17 (+0.26/-0.21)
    Fitted simultaneously to the observed [OIII]4363/5007, [OIII]5007/Hbeta and [NeIII]3869/Hbeta ratios.
  • pyneb Ne2+/H+ abundance = -5.93 (+0.30/-0.27)
    Fitted simultaneously with the O2+ abundance and temperature; drives the [NeIII]3869 ratio.
  • pyneb electron temperature log(Te/K) = 4.60 (+0.19/-0.15)
    The central inferred quantity; its high value (about 40,000 K) drives the claim of a hot ionizing source.
  • pyneb electron density log(ne/cm^-3) = 3.5 (+2.1/-1.2)
    Poorly constrained by line ratios; the low-density solution is subsequently selected using the UV slope in the cloudy models.
  • SED burst stellar mass log(M_burst/Msun) = 7.35 (+0.22/-1.30)
    From the bagpipes SED fit with a double power law plus a 3 Myr burst; used in the rough top-heavy IMF excess estimate.
assumptions (6)
  • domain assumption Standard cosmology with H0=70 km/s/Mpc, Omega_m=0.3, Omega_Lambda=0.7
    Assumed for converting observed quantities to physical scales throughout the paper (Section 1).
  • standard math Solar oxygen abundance 12+log(O/H)=8.69 (Asplund et al. 2021)
    Used to express metallicities relative to solar (Section 1).
  • domain assumption No dust attenuation for both stellar and nebular emission
    Inferred from the ultra-blue UV slope and Case B-like Balmer line ratios; if dust were present, both Te and metallicity estimates would change (Sections 3.2 and 4.1).
  • ad hoc to paper BPASS v2.3 models are representative of the hardest ionizing spectra that standard-IMF stellar populations can produce
    The conclusion that standard IMF models fail depends on this benchmark; other standard-IMF models with different binary fractions or rotation might produce harder spectra (Section 5.2.1).
  • domain assumption Photoionization models assume spherical HII regions with fixed inner radius 3 pc and outer radii 20-150 pc
    Geometry is a significant simplification; the outer radius and stopping criteria determine whether regions are density- or ionization-bounded (Section 5.2, Table 4).
  • domain assumption Abundance pattern assumptions: log(C/O)=-1.0, log(N/O)=-0.5, and O/Fe enhanced by 2.5x solar
    Adopted from high-redshift literature; the authors state these choices have little impact on conclusions (Section 5.2).

how reviews work

0 comments
Cite this review

Pith. "Pith review of The JWST EXCELS survey: an extremely metal-poor galaxy at $z=8.271$ hosting an unusual population of massive stars." pith.science (2026). https://pith.science/paper/UDXYIR3Z

@misc{pith2026250111099,
  author       = {Pith},
  title        = {Pith review of: The JWST EXCELS survey: an extremely metal-poor galaxy at $z=8.271$ hosting an unusual population of massive stars},
  year         = {2026},
  howpublished = {\url{https://pith.science/paper/UDXYIR3Z}},
  note         = {Machine review of arXiv:2501.11099}
}
abstract

We present an analysis of the rest-frame optical ($\lambda \simeq 3100-5600 \,$\r{A}) spectrum of a $\mathrm{log}_{10}(M_*/\mathrm{M_\odot}) = 8.6$ star-forming galaxy at $z=8.271$ from JWST/NIRSpec medium-resolution observations taken as part of the EXCELS survey. The galaxy (EXCELS-63107) is compact, with a size consistent with the size of local star-forming cluster complexes ($r_e < 200 \, \rm{pc}$) and has an extremely steep UV continuum measured from JWST/NIRCam photometry ($\beta=-3.3\pm0.3$). The JWST/NIRSpec G395M spectrum of EXCELS-63107 is notable for its strong [OIII]$\lambda4363$ auroral-line emission relative to the [OIII]$\lambda5007$ forbidden line. Via a detailed emission-line and photoionization-modelling analysis, we find that the the observed properties of EXCELS-63107 are consistent with the presence of an ionizing source with an effective temperature of $T_{\rm eff} \gtrsim 80 \, 000\,\rm{K}$ heating ionized gas with a density of $n_e < 10^4 \, \rm{cm}^{-3}$ to a volume-averaged electron temperature of $T_e \simeq 34 \, 000\,\rm{K}$. Crucially, we find that stellar population models assuming a standard IMF are not capable of producing the required heating. We determine an oxygen abundance of ${12+\mathrm{log(O/H)}= 6.89^{+0.26}_{-0.21}}$ which is one of the lowest directly constrained oxygen abundances measured in any galaxy to date, and $\simeq 10 \times$ lower than is typical for $z\simeq8$ galaxies with the same stellar mass. The extremely low metallicity of EXCELS-63107 places it in a regime in which theoretical models expect a transition to a top-heavy IMF, and we speculate that a $\simeq 10-30 \, \times$ excess of $M > 50 \, \rm{M}_{\odot}$ stars is one plausible explanation for its observed properties. However, more exotic scenarios, such as Pop III star formation within a mildly enriched halo, are also consistent with the observations.

Figures

Figures reproduced from arXiv: 2501.11099 by the authors.

Figure 1
Figure 1. The JWST NIRCam and NIRSpec data for EXCELS-63107. The upper and lower left-hand panels show the 2D and 1D spectrum for EXCELS-63107 respectively. The inset panels show a three-colour image [F200W, F365W, F444W] with the NIRSpec MSA shutter position overlaid (left-hand inset) and the full rest-frame UV to optical SED including the best-fitting bagpipes SED (right-hand inset). Notable spectral features include the pr… view at source ↗
Figure 2
Figure 2. Determining the morphology of EXCELS-63107. An analysis of the JWST/NIRCam imaging reveals that EXCELS-63107 is unresolved and can be described by a point-like source in all bands. Each column shows one of the NIRCam bands in which EXCELS-63107 is detected (from F115W to F444W) with the rows from top to bottom showing the JWST/NIRCam data, the PSF model fit, and the fit residuals respectively. The grey scale bar on … view at source ↗
Figure 3
Figure 3. The size and luminosity of EXCELS-63107 compared to other high￾redshift sources. The black circular data point and arrow show the absolute UV magnitude (𝑀UV = −19.9) and upper limit on the half-light radius 𝑟𝑒 < 200 pc that we determine for EXCELS-63107. We also include a number of comparison samples from the literature (Bouwens et al. 2022; Chen et al. 2023; Topping et al. 2024a) at 𝑧 ≃ 4 − 8. EXCELS-63107 is compa… view at source ↗
Figures from the paper (6 more)
Figure 5
Figure 5. Figure 5: A comparison between the observed line ratios in EXCELS-63107 and the photoionization models of Nakajima & Maiolino (2022). Each panel shows a different emission-line ratio diagnostic diagram with the EXCELS measurements shown in black. For diagrams involving the [O ii…
Figure 6
Figure 6. Figure 6: Corner plot showing the 1D and 2D marginalised posterior distri￾butions for our 4-parameter pyneb model. The 16th, 50th and 84th percentiles (i.e. the 1𝜎 credible intervals) are shown by the vertical dashed lines and the corresponding parameter constraints are given ab…
Figure 7
Figure 7. Figure 7: A comparison between the cloudy models and observations in the [O iii]𝜆5007/H 𝛽 versus [O iii]𝜆4363/[O iii]𝜆5007 line ratio diagram. Each column corresponds to the cloudy models associated with one of the three types of stellar SED we consider: BPASSv2.3, Wolf-Rayet (W…
Figure 8
Figure 8. Figure 8: A comparison between the cloudy models and observations in the UV continuum slope (𝛽) versus [O iii]𝜆4363/[O iii]𝜆5007 diagram. The coloured points show the cloudy model outputs for simulation using the WR stellar SEDs; the points are colour-coded by the ISM electron d…
Figure 10
Figure 10. Figure 10: The ionization and temperature structure of the best-fitting cloudy model. The H ii region shown here is density-bounded with an outer radius of 50 pc and is heated by a WR SED with 𝑇eff = 89 251 K (see [PITH_FULL_IMAGE:figures/full_fig_p013_10.png]
Figure 11
Figure 11. Figure 11: The stellar mass and gas-phase oxygen abundance of EXCELS-63107 compared to measurements from a variety of literature sources. All of the sources shown here have been selected to have direct 𝑇𝑒-based estimates of the oxygen abundance. The red circular data point shows…

Discussion (0). Continue with ORCID to comment.

Forward citations

Cited by 4 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Discovery of a new transitional type of evolved massive stars with hard ionizing flux

    astro-ph.SR 2025-08 conditional novelty 7.0 of 10

    The authors identify a new WN/WO transitional Wolf-Rayet stage in five hot, weak-winded massive stars, implying a direct WN to WO evolutionary path at low metallicity with strong hard ionizing flux.

  2. Bright Galaxies at Cosmic Dawn: A Cloud-Scale Star Formation Model Unifying Variable SFE, IMFs, and Stochasticity

    astro-ph.GA 2026-07 conditional novelty 6.0 of 10

    A cloud-based semi-analytic model shows that a top-heavy stellar initial mass function and a cloud-property-dependent star-formation efficiency, rather than cloud mass or density, most strongly shape the UV luminosity...

  3. pySTARBURST99: The Next Generation of STARBURST99

    astro-ph.GA 2025-05 conditional novelty 6.0 of 10

    A Python rewrite of STARBURST99 with new low-metallicity and very massive star models predicts a 0.3 dex boost in HI ionising flux when the upper mass limit is raised from 120 to 300 solar masses.

  4. The JWST EXCELS survey: Probing strong-line diagnostics and the chemical evolution of galaxies over cosmic time using Te-metallicities

    astro-ph.GA 2025-02 conditional novelty 6.0 of 10

    A new neon-plus-oxygen line ratio, RNe, is introduced and validated as a largely redshift-independent metallicity diagnostic for JWST/NIRSpec out to z~11.2.

Reference graph

Works this paper leans on

163 extracted references · 4 canonical work pages · cited by 4 Pith papers

  1. [1]

    Adamo A., et al., 2024, @doi [ ] 10.1038/s41586-024-07703-7 , https://ui.adsabs.harvard.edu/abs/2024Natur.632..513A 632, 513

  2. [2]

    M., Keenan F

    Aggarwal K. M., Keenan F. P., 1999, @doi [ ] 10.1086/313232 , https://ui.adsabs.harvard.edu/abs/1999ApJS..123..311A 123, 311

  3. [3]

    H., 1984, Physics of thermal gaseous nebulae , @doi 10.1007/978-94-010-9639-3

    Aller L. H., 1984, Physics of thermal gaseous nebulae , @doi 10.1007/978-94-010-9639-3

  4. [4]

    H., Martini P., 2013, @doi [ ] 10.1088/0004-637X/765/2/140 , https://ui.adsabs.harvard.edu/abs/2013ApJ...765..140A 765, 140

    Andrews B. H., Martini P., 2013, @doi [ ] 10.1088/0004-637X/765/2/140 , https://ui.adsabs.harvard.edu/abs/2013ApJ...765..140A 765, 140

  5. [5]

    Z., et al., 2022, @doi [ ] 10.3847/2041-8213/ac9ab2 , https://ui.adsabs.harvard.edu/abs/2022ApJ...940L..23A 940, L23

    Arellano-C \'o rdova K. Z., et al., 2022, @doi [ ] 10.3847/2041-8213/ac9ab2 , https://ui.adsabs.harvard.edu/abs/2022ApJ...940L..23A 940, L23

  6. [6]

    Z., et al., 2024, arXiv e-prints, https://ui.adsabs.harvard.edu/abs/2024arXiv241210557A p

    Arellano-C \'o rdova K. Z., et al., 2024, arXiv e-prints, https://ui.adsabs.harvard.edu/abs/2024arXiv241210557A p. arXiv:2412.10557

  7. [7]

    Arrabal Haro P., et al., 2023, @doi [ ] 10.3847/2041-8213/acdd54 , https://ui.adsabs.harvard.edu/abs/2023ApJ...951L..22A 951, L22

  8. [8]

    M., Grevesse N., 2021, @doi [ ] 10.1051/0004-6361/202140445 , https://ui.adsabs.harvard.edu/abs/2021A&A...653A.141A 653, A141

    Asplund M., Amarsi A. M., Grevesse N., 2021, @doi [ ] 10.1051/0004-6361/202140445 , https://ui.adsabs.harvard.edu/abs/2021A&A...653A.141A 653, A141

Show all 163 references
  1. [9]

    arXiv:2404.10751

    Austin D., et al., 2024, @doi [arXiv e-prints] 10.48550/arXiv.2404.10751 , https://ui.adsabs.harvard.edu/abs/2024arXiv240410751A p. arXiv:2404.10751

  2. [10]

    Bekki K., Tsujimoto T., 2023, @doi [ ] 10.1093/mnrasl/slad108 , https://ui.adsabs.harvard.edu/abs/2023MNRAS.526L..26B 526, L26

  3. [11]

    A., et al., 2012, @doi [ ] 10.1088/0004-637X/754/2/98 , https://ui.adsabs.harvard.edu/abs/2012ApJ...754...98B 754, 98

    Berg D. A., et al., 2012, @doi [ ] 10.1088/0004-637X/754/2/98 , https://ui.adsabs.harvard.edu/abs/2012ApJ...754...98B 754, 98

  4. [12]

    A., Chisholm J., Erb D

    Berg D. A., Chisholm J., Erb D. K., Skillman E. D., Pogge R. W., Olivier G. M., 2021, @doi [ ] 10.3847/1538-4357/ac141b , https://ui.adsabs.harvard.edu/abs/2021ApJ...922..170B 922, 170

  5. [13]

    J., Illingworth G

    Bouwens R. J., Illingworth G. D., van Dokkum P. G., Oesch P. A., Stefanon M., Ribeiro B., 2022, @doi [ ] 10.3847/1538-4357/ac4791 , https://ui.adsabs.harvard.edu/abs/2022ApJ...927...81B 927, 81

  6. [14]

    Bruzual G., Charlot S., 2003, @doi [ ] 10.1046/j.1365-8711.2003.06897.x , https://ui.adsabs.harvard.edu/abs/2003MNRAS.344.1000B 344, 1000

  7. [15]

    M., Stanway E

    Byrne C. M., Stanway E. R., Eldridge J. J., McSwiney L., Townsend O. T., 2022, @doi [ ] 10.1093/mnras/stac807 , https://ui.adsabs.harvard.edu/abs/2022MNRAS.512.5329B 512, 5329

  8. [16]

    L., Storchi-Bergmann T., 1994, @doi [ ] 10.1086/174346 , https://ui.adsabs.harvard.edu/abs/1994ApJ...429..582C 429, 582

    Calzetti D., Kinney A. L., Storchi-Bergmann T., 1994, @doi [ ] 10.1086/174346 , https://ui.adsabs.harvard.edu/abs/1994ApJ...429..582C 429, 582

  9. [17]

    J., Katz H., Witten C., Saxena A., Laporte N., Bunker A

    Cameron A. J., Katz H., Witten C., Saxena A., Laporte N., Bunker A. J., 2024, @doi [ ] 10.1093/mnras/stae1547 , https://ui.adsabs.harvard.edu/abs/2024MNRAS.534..523C 534, 523

  10. [18]

    C., McLure R

    Carnall A. C., McLure R. J., Dunlop J. S., Dav \'e R., 2018, @doi [ ] 10.1093/mnras/sty2169 , https://ui.adsabs.harvard.edu/abs/2018MNRAS.480.4379C 480, 4379

  11. [19]

    C., et al., 2024, @doi [ ] 10.1093/mnras/stae2092 , https://ui.adsabs.harvard.edu/abs/2024MNRAS.534..325C 534, 325

    Carnall A. C., et al., 2024, @doi [ ] 10.1093/mnras/stae2092 , https://ui.adsabs.harvard.edu/abs/2024MNRAS.534..325C 534, 325

  12. [20]

    Carniani S., et al., 2024, @doi [ ] 10.1038/s41586-024-07860-9 , https://ui.adsabs.harvard.edu/abs/2024Natur.633..318C 633, 318

  13. [21]

    Carniani S., et al., 2025, @doi [ ] 10.1051/0004-6361/202452451 , https://ui.adsabs.harvard.edu/abs/2025A&A...696A..87C 696, A87

  14. [22]

    Castellano M., et al., 2024, @doi [ ] 10.3847/1538-4357/ad5f88 , https://ui.adsabs.harvard.edu/abs/2024ApJ...972..143C 972, 143

  15. [23]

    Chabrier G., 2003, @doi [ ] 10.1086/376392 , https://ui.adsabs.harvard.edu/abs/2003PASP..115..763C 115, 763

  16. [24]

    B., Rudie G

    Chartab N., Newman A. B., Rudie G. C., Blanc G. A., Kelson D. D., 2024, @doi [ ] 10.3847/1538-4357/ad0554 , https://ui.adsabs.harvard.edu/abs/2024ApJ...960...73C 960, 73

  17. [25]

    Chatzikos M., et al., 2023, @doi [ ] 10.22201/ia.01851101p.2023.59.02.12 , https://ui.adsabs.harvard.edu/abs/2023RMxAA..59..327C 59, 327

  18. [26]

    P., Endsley R., Topping M., Whitler L., Charlot S., 2023, @doi [ ] 10.1093/mnras/stac3476 , https://ui.adsabs.harvard.edu/abs/2023MNRAS.518.5607C 518, 5607

    Chen Z., Stark D. P., Endsley R., Topping M., Whitler L., Charlot S., 2023, @doi [ ] 10.1093/mnras/stac3476 , https://ui.adsabs.harvard.edu/abs/2023MNRAS.518.5607C 518, 5607

  19. [27]

    A., Jin C., Liu B., 2019, @doi [ ] 10.1093/mnras/stz1532 , https://ui.adsabs.harvard.edu/abs/2019MNRAS.487.3884C 487, 3884

    Cheng H., Yuan W., Liu H.-Y., Breeveld A. A., Jin C., Liu B., 2019, @doi [ ] 10.1093/mnras/stz1532 , https://ui.adsabs.harvard.edu/abs/2019MNRAS.487.3884C 487, 3884

  20. [28]

    Chon S., Omukai K., Schneider R., 2021, @doi [ ] 10.1093/mnras/stab2497 , https://ui.adsabs.harvard.edu/abs/2021MNRAS.508.4175C 508, 4175

  21. [29]

    Chon S., Ono H., Omukai K., Schneider R., 2022, @doi [ ] 10.1093/mnras/stac1549 , https://ui.adsabs.harvard.edu/abs/2022MNRAS.514.4639C 514, 4639

  22. [30]

    Chon S., Hosokawa T., Omukai K., Schneider R., 2024, @doi [ ] 10.1093/mnras/stae1027 , https://ui.adsabs.harvard.edu/abs/2024MNRAS.530.2453C 530, 2453

  23. [31]

    E., White M., 2009, @doi [ ] 10.1088/0004-637X/699/1/486 , https://ui.adsabs.harvard.edu/abs/2009ApJ...699..486C 699, 486

    Conroy C., Gunn J. E., White M., 2009, @doi [ ] 10.1088/0004-637X/699/1/486 , https://ui.adsabs.harvard.edu/abs/2009ApJ...699..486C 699, 486

  24. [32]

    C., Rudie G

    Cooke R., Pettini M., Steidel C. C., Rudie G. C., Nissen P. E., 2011, @doi [ ] 10.1111/j.1365-2966.2011.19365.x , https://ui.adsabs.harvard.edu/abs/2011MNRAS.417.1534C 417, 1534

  25. [33]

    D., Khochfar S., O'Shea B

    Correa Magnus L., Smith B. D., Khochfar S., O'Shea B. W., Wise J. H., Norman M. L., Turk M. J., 2024, @doi [ ] 10.1093/mnras/stad3167 , https://ui.adsabs.harvard.edu/abs/2024MNRAS.527..307C 527, 307

  26. [34]

    A., 2007, @doi [ ] 10.1146/annurev.astro.45.051806.110615 , https://ui.adsabs.harvard.edu/abs/2007ARA&A..45..177C 45, 177

    Crowther P. A., 2007, @doi [ ] 10.1146/annurev.astro.45.051806.110615 , https://ui.adsabs.harvard.edu/abs/2007ARA&A..45..177C 45, 177

  27. [35]

    R., Hutter A., Dayal P., Gottl \"o ber S., Heintz K

    Cueto E. R., Hutter A., Dayal P., Gottl \"o ber S., Heintz K. E., Mason C., Trebitsch M., Yepes G., 2024, @doi [ ] 10.1051/0004-6361/202349017 , https://ui.adsabs.harvard.edu/abs/2024A&A...686A.138C 686, A138

  28. [36]

    Cullen F., et al., 2019, @doi [ ] 10.1093/mnras/stz1402 , https://ui.adsabs.harvard.edu/abs/2019MNRAS.487.2038C 487, 2038

  29. [37]

    Cullen F., et al., 2021, @doi [ ] 10.1093/mnras/stab1340 , https://ui.adsabs.harvard.edu/abs/2021MNRAS.505..903C 505, 903

  30. [38]

    Cullen F., et al., 2023, @doi [ ] 10.1093/mnras/stad073 , https://ui.adsabs.harvard.edu/abs/2023MNRAS.520...14C 520, 14

  31. [39]

    Cullen F., et al., 2024, @doi [ ] 10.1093/mnras/stae1211 , https://ui.adsabs.harvard.edu/abs/2024MNRAS.531..997C 531, 997

  32. [40]

    Curti M., Mannucci F., Cresci G., Maiolino R., 2020, @doi [ ] 10.1093/mnras/stz2910 , https://ui.adsabs.harvard.edu/abs/2020MNRAS.491..944C 491, 944

  33. [41]

    Curti M., et al., 2023, @doi [ ] 10.1093/mnras/stac2737 , https://ui.adsabs.harvard.edu/abs/2023MNRAS.518..425C 518, 425

  34. [42]

    Curti M., et al., 2024, @doi [ ] 10.1051/0004-6361/202346698 , https://ui.adsabs.harvard.edu/abs/2024A&A...684A..75C 684, A75

  35. [43]

    Curti M., et al., 2025, @doi [ ] 10.1051/0004-6361/202451410 , https://ui.adsabs.harvard.edu/abs/2025A&A...697A..89C 697, A89

  36. [44]

    Curtis-Lake E., et al., 2023, @doi [Nature Astronomy] 10.1038/s41550-023-01918-w , https://ui.adsabs.harvard.edu/abs/2023NatAs...7..622C 7, 622

  37. [45]

    L., et al., 2013, @doi [ ] 10.1093/mnras/stt610 , https://ui.adsabs.harvard.edu/abs/2013MNRAS.432.2512D 432, 2512

    Dors O. L., et al., 2013, @doi [ ] 10.1093/mnras/stt610 , https://ui.adsabs.harvard.edu/abs/2013MNRAS.432.2512D 432, 2512

  38. [46]

    S., et al., 2021, PRIMER: Public Release IMaging for Extragalactic Research , JWST Proposal

    Dunlop J. S., et al., 2021, PRIMER: Public Release IMaging for Extragalactic Research , JWST Proposal. Cycle 1, ID. \#1837

  39. [47]

    Ekstr \"o m S., et al., 2012, @doi [ ] 10.1051/0004-6361/201117751 , https://ui.adsabs.harvard.edu/abs/2012A&A...537A.146E 537, A146

  40. [48]

    J., Stanway E

    Eldridge J. J., Stanway E. R., 2022, @doi [ ] 10.1146/annurev-astro-052920-100646 , https://ui.adsabs.harvard.edu/abs/2022ARA&A..60..455E 60, 455

  41. [49]

    J., Stanway E

    Eldridge J. J., Stanway E. R., Xiao L., McClelland L. A. S., Taylor G., Ng M., Greis S. M. L., Bray J. C., 2017, @doi [ ] 10.1017/pasa.2017.51 , https://ui.adsabs.harvard.edu/abs/2017PASA...34...58E 34, e058

  42. [50]

    E., 2015, @doi [ ] 10.1146/annurev-astro-082214-122423 , https://ui.adsabs.harvard.edu/abs/2015ARA&A..53..631F 53, 631

    Frebel A., Norris J. E., 2015, @doi [ ] 10.1146/annurev-astro-082214-122423 , https://ui.adsabs.harvard.edu/abs/2015ARA&A..53..631F 53, 631

  43. [51]

    Froese Fischer C., Tachiev G., 2004, @doi [Atomic Data and Nuclear Data Tables] 10.1016/j.adt.2004.02.001 , https://ui.adsabs.harvard.edu/abs/2004ADNDT..87....1F 87, 1

  44. [52]

    G \"o tberg Y., et al., 2023, @doi [ ] 10.3847/1538-4357/ace5a3 , https://ui.adsabs.harvard.edu/abs/2023ApJ...959..125G 959, 125

  45. [53]

    S., 2015, @doi [ ] 10.1051/0004-6361/201425287 , https://ui.adsabs.harvard.edu/abs/2015A&A...578L...2G 578, L2

    Gr \"a fener G., Vink J. S., 2015, @doi [ ] 10.1051/0004-6361/201425287 , https://ui.adsabs.harvard.edu/abs/2015A&A...578L...2G 578, L2

  46. [54]

    E., et al., 2024, @doi [ ] 10.3847/1538-4357/ad1e5f , https://ui.adsabs.harvard.edu/abs/2024ApJ...964...39G 964, 39

    Greene J. E., et al., 2024, @doi [ ] 10.3847/1538-4357/ad1e5f , https://ui.adsabs.harvard.edu/abs/2024ApJ...964...39G 964, 39

  47. [55]

    A., et al., 2011, @doi [ ] 10.1088/0067-0049/197/2/35 , https://ui.adsabs.harvard.edu/abs/2011ApJS..197...35G 197, 35

    Grogin N. A., et al., 2011, @doi [ ] 10.1088/0067-0049/197/2/35 , https://ui.adsabs.harvard.edu/abs/2011ApJS..197...35G 197, 35

  48. [56]

    R., 2015, @doi [ ] 10.1051/0004-6361/201526241 , https://ui.adsabs.harvard.edu/abs/2015A&A...581A..21H 581, A21

    Hainich R., Pasemann D., Todt H., Shenar T., Sander A., Hamann W. R., 2015, @doi [ ] 10.1051/0004-6361/201526241 , https://ui.adsabs.harvard.edu/abs/2015A&A...581A..21H 581, A21

  49. [57]

    Harikane Y., et al., 2023, @doi [ ] 10.3847/1538-4357/ad029e , https://ui.adsabs.harvard.edu/abs/2023ApJ...959...39H 959, 39

  50. [58]

    E., et al., 2024, @doi [arXiv e-prints] 10.48550/arXiv.2407.06287 , https://ui.adsabs.harvard.edu/abs/2024arXiv240706287H p

    Heintz K. E., et al., 2024, @doi [arXiv e-prints] 10.48550/arXiv.2407.06287 , https://ui.adsabs.harvard.edu/abs/2024arXiv240706287H p. arXiv:2407.06287

  51. [59]

    S., et al., 2016, @doi [ ] 10.3847/0004-637X/822/2/108 , https://ui.adsabs.harvard.edu/abs/2016ApJ...822..108H 822, 108

    Hirschauer A. S., et al., 2016, @doi [ ] 10.3847/0004-637X/822/2/108 , https://ui.adsabs.harvard.edu/abs/2016ApJ...822..108H 822, 108

  52. [60]

    Y.-Y., et al., 2024, @doi [ ] 10.3847/1538-4357/ad6562 , https://ui.adsabs.harvard.edu/abs/2024ApJ...973...81H 973, 81

    Hsiao T. Y.-Y., et al., 2024, @doi [ ] 10.3847/1538-4357/ad6562 , https://ui.adsabs.harvard.edu/abs/2024ApJ...973...81H 973, 81

  53. [61]

    J., Prochaska J

    Hsyu T., Cooke R. J., Prochaska J. X., Bolte M., 2017, @doi [ ] 10.3847/2041-8213/aa821f , https://ui.adsabs.harvard.edu/abs/2017ApJ...845L..22H 845, L22

  54. [62]

    R., Dayal P., Gottl \"o ber S., Trebitsch M., Yepes G., 2025, @doi [ ] 10.1051/0004-6361/202452460 , https://ui.adsabs.harvard.edu/abs/2025A&A...694A.254H 694, A254

    Hutter A., Cueto E. R., Dayal P., Gottl \"o ber S., Trebitsch M., Yepes G., 2025, @doi [ ] 10.1051/0004-6361/202452460 , https://ui.adsabs.harvard.edu/abs/2025A&A...694A.254H 694, A254

  55. [63]

    Isobe Y., et al., 2022, @doi [ ] 10.3847/1538-4357/ac3509 , https://ui.adsabs.harvard.edu/abs/2022ApJ...925..111I 925, 111

  56. [64]

    I., Thuan T

    Izotov Y. I., Thuan T. X., 1998, @doi [ ] 10.1086/305440 , https://ui.adsabs.harvard.edu/abs/1998ApJ...497..227I 497, 227

  57. [65]

    I., Stasi \'n ska G., Meynet G., Guseva N

    Izotov Y. I., Stasi \'n ska G., Meynet G., Guseva N. G., Thuan T. X., 2006, @doi [ ] 10.1051/0004-6361:20053763 , https://ui.adsabs.harvard.edu/abs/2006A&A...448..955I 448, 955

  58. [66]

    I., Guseva N

    Izotov Y. I., Guseva N. G., Fricke K. J., Papaderos P., 2009, @doi [ ] 10.1051/0004-6361/200911965 , https://ui.adsabs.harvard.edu/abs/2009A&A...503...61I 503, 61

  59. [67]

    I., Worseck G., Schaerer D., Guseva N

    Izotov Y. I., Worseck G., Schaerer D., Guseva N. G., Thuan T. X., Fricke Verhamme A., Orlitov \'a I., 2018, @doi [ ] 10.1093/mnras/sty1378 , https://ui.adsabs.harvard.edu/abs/2018MNRAS.478.4851I 478, 4851

  60. [68]

    I., Thuan T

    Izotov Y. I., Thuan T. X., Guseva N. G., 2019, @doi [ ] 10.1093/mnras/sty3472 , https://ui.adsabs.harvard.edu/abs/2019MNRAS.483.5491I 483, 5491

  61. [69]

    I., Thuan T

    Izotov Y. I., Thuan T. X., Guseva N. G., 2021, @doi [ ] 10.1093/mnras/stab1099 , https://ui.adsabs.harvard.edu/abs/2021MNRAS.504.3996I 504, 3996

  62. [70]

    I., Thuan T

    Izotov Y. I., Thuan T. X., Guseva N. G., 2024, @doi [ ] 10.1093/mnras/stad3421 , https://ui.adsabs.harvard.edu/abs/2024MNRAS.527.3486I 527, 3486

  63. [71]

    Jones T., et al., 2023, @doi [ ] 10.3847/2041-8213/acd938 , https://ui.adsabs.harvard.edu/abs/2023ApJ...951L..17J 951, L17

  64. [72]

    M., Carraro G., Evans C

    Kalari V. M., Carraro G., Evans C. J., Rubio M., 2018, @doi [ ] 10.3847/1538-4357/aab609 , https://ui.adsabs.harvard.edu/abs/2018ApJ...857..132K 857, 132

  65. [73]

    Kashino D., et al., 2022, @doi [ ] 10.3847/1538-4357/ac399e , https://ui.adsabs.harvard.edu/abs/2022ApJ...925...82K 925, 82

  66. [74]

    Katz H., et al., 2023, @doi [ ] 10.1093/mnras/stac2657 , https://ui.adsabs.harvard.edu/abs/2023MNRAS.518..592K 518, 592

  67. [75]

    arXiv:2408.03189

    Katz H., et al., 2024, @doi [arXiv e-prints] 10.48550/arXiv.2408.03189 , https://ui.adsabs.harvard.edu/abs/2024arXiv240803189K p. arXiv:2408.03189

  68. [76]

    I., Lugaro M., 2020, @doi [ ] 10.3847/1538-4357/abae65 , https://ui.adsabs.harvard.edu/abs/2020ApJ...900..179K 900, 179

    Kobayashi C., Karakas A. I., Lugaro M., 2020, @doi [ ] 10.3847/1538-4357/abae65 , https://ui.adsabs.harvard.edu/abs/2020ApJ...900..179K 900, 179

  69. [77]

    D., et al., 2024, @doi [arXiv e-prints] 10.48550/arXiv.2404.03576 , https://ui.adsabs.harvard.edu/abs/2024arXiv240403576K p

    Kocevski D. D., et al., 2024, @doi [arXiv e-prints] 10.48550/arXiv.2404.03576 , https://ui.adsabs.harvard.edu/abs/2024arXiv240403576K p. arXiv:2404.03576

  70. [78]

    M., et al., 2011, @doi [ ] 10.1088/0067-0049/197/2/36 , https://ui.adsabs.harvard.edu/abs/2011ApJS..197...36K 197, 36

    Koekemoer A. M., et al., 2011, @doi [ ] 10.1088/0067-0049/197/2/36 , https://ui.adsabs.harvard.edu/abs/2011ApJS..197...36K 197, 36

  71. [79]

    Kojima T., et al., 2020, @doi [ ] 10.3847/1538-4357/aba047 , https://ui.adsabs.harvard.edu/abs/2020ApJ...898..142K 898, 142

  72. [80]

    Koposov S., et al., 2023, joshspeagle/dynesty: v2.1.3 , @doi 10.5281/zenodo.8408702

  73. [81]

    Kroupa P., 2001, @doi [ ] 10.1046/j.1365-8711.2001.04022.x , https://ui.adsabs.harvard.edu/abs/2001MNRAS.322..231K 322, 231

  74. [82]

    Labbe I., et al., 2025, @doi [ ] 10.3847/1538-4357/ad3551 , https://ui.adsabs.harvard.edu/abs/2025ApJ...978...92L 978, 92

  75. [83]

    Langeroodi D., et al., 2023, @doi [ ] 10.3847/1538-4357/acdbc1 , https://ui.adsabs.harvard.edu/abs/2023ApJ...957...39L 957, 39

  76. [84]

    M., Gerasimov R., Burgasser A

    Larkin M. M., Gerasimov R., Burgasser A. J., 2023, @doi [ ] 10.3847/1538-3881/ac9b43 , https://ui.adsabs.harvard.edu/abs/2023AJ....165....2L 165, 2

  77. [85]

    H., et al., 2024, @doi [ ] 10.1051/0004-6361/202347133 , https://ui.adsabs.harvard.edu/abs/2024A&A...681A..70L 681, A70

    Laseter I. H., et al., 2024, @doi [ ] 10.1051/0004-6361/202347133 , https://ui.adsabs.harvard.edu/abs/2024A&A...681A..70L 681, A70

  78. [86]

    Leitherer C., et al., 1999, @doi [ ] 10.1086/313233 , https://ui.adsabs.harvard.edu/abs/1999ApJS..123....3L 123, 3

  79. [87]

    B., Levesque E

    Leitherer C., Ekstr \"o m S., Meynet G., Schaerer D., Agienko K. B., Levesque E. M., 2014, @doi [ ] 10.1088/0067-0049/212/1/14 , https://ui.adsabs.harvard.edu/abs/2014ApJS..212...14L 212, 14

  80. [88]

    D., Tacchella S., Naidu R

    Li Y., Leja J., Johnson B. D., Tacchella S., Naidu R. P., 2024, @doi [ ] 10.3847/2041-8213/ad5280 , https://ui.adsabs.harvard.edu/abs/2024ApJ...969L...5L 969, L5

  81. [89]

    S., Bose S., Lacey C

    Lu S., Frenk C. S., Bose S., Lacey C. G., Cole S., Baugh C. M., Helly J. C., 2025, @doi [ ] 10.1093/mnras/stae2646 , https://ui.adsabs.harvard.edu/abs/2025MNRAS.536.1018L 536, 1018

  82. [90]

    A., 2015, @doi [ ] 10.1051/0004-6361/201323152 , https://ui.adsabs.harvard.edu/abs/2015A&A...573A..42L 573, A42

    Luridiana V., Morisset C., Shaw R. A., 2015, @doi [ ] 10.1051/0004-6361/201323152 , https://ui.adsabs.harvard.edu/abs/2015A&A...573A..42L 573, A42

  83. [91]

    Maiolino R., et al., 2024a, @doi [ ] 10.1051/0004-6361/202347087 , https://ui.adsabs.harvard.edu/abs/2024A&A...687A..67M 687, A67

  84. [92]

    Maiolino R., et al., 2024b, @doi [ ] 10.1051/0004-6361/202347640 , https://ui.adsabs.harvard.edu/abs/2024A&A...691A.145M 691, A145

  85. [93]

    Maiolino R., et al., 2025, @doi [ ] 10.1093/mnras/staf359 , https://ui.adsabs.harvard.edu/abs/2025MNRAS.538.1921M 538, 1921

  86. [94]

    Marques-Chaves R., et al., 2024, @doi [ ] 10.1051/0004-6361/202347411 , https://ui.adsabs.harvard.edu/abs/2024A&A...681A..30M 681, A30

  87. [95]

    Matthee J., et al., 2024, @doi [ ] 10.3847/1538-4357/ad2345 , https://ui.adsabs.harvard.edu/abs/2024ApJ...963..129M 963, 129

  88. [96]

    Mazzolari G., et al., 2024, @doi [ ] 10.1051/0004-6361/202450407 , https://ui.adsabs.harvard.edu/abs/2024A&A...691A.345M 691, A345

  89. [97]

    M., Lee T.-G., Ludlow J

    McLaughlin B. M., Lee T.-G., Ludlow J. A., Landi E., Loch S. D., Pindzola M. S., Ballance C. P., 2011, @doi [Journal of Physics B Atomic Molecular Physics] 10.1088/0953-4075/44/17/175206 , https://ui.adsabs.harvard.edu/abs/2011JPhB...44q5206M 44, 175206

  90. [98]

    J., et al., 2018, @doi [ ] 10.1093/mnras/sty1213 , https://ui.adsabs.harvard.edu/abs/2018MNRAS.479...25M 479, 25

    McLure R. J., et al., 2018, @doi [ ] 10.1093/mnras/sty1213 , https://ui.adsabs.harvard.edu/abs/2018MNRAS.479...25M 479, 25

  91. [99]

    McQuinn K. B. W., et al., 2020, @doi [ ] 10.3847/1538-4357/ab7447 , https://ui.adsabs.harvard.edu/abs/2020ApJ...891..181M 891, 181

  92. [100]

    M., et al., 2024, @doi [ ] 10.3847/2041-8213/ad2de4 , https://ui.adsabs.harvard.edu/abs/2024ApJ...964L..24M 964, L24

    Morales A. M., et al., 2024, @doi [ ] 10.3847/2041-8213/ad2de4 , https://ui.adsabs.harvard.edu/abs/2024ApJ...964L..24M 964, L24

  93. [101]

    Morishita T., et al., 2024, @doi [ ] 10.3847/1538-4357/ad5290 , https://ui.adsabs.harvard.edu/abs/2024ApJ...971...43M 971, 43

  94. [102]

    Moustakas J., Buhler J., Scholte D., Dey B., Khederlarian A., 2023, FastSpecFit: Fast spectral synthesis and emission-line fitting of DESI spectra , Astrophysics Source Code Library, record ascl:2308.005

  95. [103]

    Mowla L., et al., 2024, @doi [ ] 10.1038/s41586-024-08293-0 , https://ui.adsabs.harvard.edu/abs/2024Natur.636..332M 636, 332

  96. [104]

    Nakajima K., Maiolino R., 2022, @doi [ ] 10.1093/mnras/stac1242 , https://ui.adsabs.harvard.edu/abs/2022MNRAS.513.5134N 513, 5134

  97. [105]

    Nakajima K., Ouchi M., 2014, @doi [ ] 10.1093/mnras/stu902 , https://ui.adsabs.harvard.edu/abs/2014MNRAS.442..900N 442, 900

  98. [106]

    Nakajima K., Ouchi M., Isobe Y., Harikane Y., Zhang Y., Ono Y., Umeda H., Oguri M., 2023, @doi [ ] 10.3847/1538-4365/acd556 , https://ui.adsabs.harvard.edu/abs/2023ApJS..269...33N 269, 33

  99. [107]

    Narayanan D., et al., 2025, @doi [ ] 10.3847/1538-4357/adb41c , https://ui.adsabs.harvard.edu/abs/2025ApJ...982....7N 982, 7

  100. [108]

    Nayak O., et al., 2023, @doi [ ] 10.3847/1538-4357/acac8b , https://ui.adsabs.harvard.edu/abs/2023ApJ...944...26N 944, 26

  101. [109]

    M., Berg D

    Olivier G. M., Berg D. A., Chisholm J., Erb D. K., Pogge R. W., Skillman E. D., 2022, @doi [ ] 10.3847/1538-4357/ac8f2c , https://ui.adsabs.harvard.edu/abs/2022ApJ...938...16O 938, 16

  102. [110]

    Omukai K., Tsuribe T., Schneider R., Ferrara A., 2005, @doi [ ] 10.1086/429955 , https://ui.adsabs.harvard.edu/abs/2005ApJ...626..627O 626, 627

  103. [111]

    F., Tsang B

    Pascale M., Dai L., McKee C. F., Tsang B. T. H., 2023, @doi [ ] 10.3847/1538-4357/acf75c , https://ui.adsabs.harvard.edu/abs/2023ApJ...957...77P 957, 77

  104. [112]

    Y., Ho L

    Peng C. Y., Ho L. C., Impey C. D., Rix H.-W., 2002, @doi [ ] 10.1086/340952 , https://ui.adsabs.harvard.edu/abs/2002AJ....124..266P 124, 266

  105. [113]

    Y., Ho L

    Peng C. Y., Ho L. C., Impey C. D., Rix H.-W., 2010, @doi [ ] 10.1088/0004-6256/139/6/2097 , https://ui.adsabs.harvard.edu/abs/2010AJ....139.2097P 139, 2097

  106. [114]

    A., et al., 2018, @doi [ ] 10.3847/1538-4357/aaed1e , https://ui.adsabs.harvard.edu/abs/2018ApJ...869...92R 869, 92

    Reddy N. A., et al., 2018, @doi [ ] 10.3847/1538-4357/aaed1e , https://ui.adsabs.harvard.edu/abs/2018ApJ...869...92R 869, 92

  107. [115]

    E., et al., 2024, @doi [ ] 10.1051/0004-6361/202450359 , https://ui.adsabs.harvard.edu/abs/2024A&A...690A.269R 690, A269

    Rivera-Thorsen T. E., et al., 2024, @doi [ ] 10.1051/0004-6361/202450359 , https://ui.adsabs.harvard.edu/abs/2024A&A...690A.269R 690, A269

  108. [116]

    Sacchi E., et al., 2016, @doi [ ] 10.3847/0004-637X/830/1/3 , https://ui.adsabs.harvard.edu/abs/2016ApJ...830....3S 830, 3

  109. [117]

    E., 1955, @doi [ ] 10.1086/145971 , https://ui.adsabs.harvard.edu/abs/1955ApJ...121..161S 121, 161

    Salpeter E. E., 1955, @doi [ ] 10.1086/145971 , https://ui.adsabs.harvard.edu/abs/1955ApJ...121..161S 121, 161

  110. [118]

    L., et al., 2021, @doi [ ] 10.3847/1538-4357/abf4c1 , https://ui.adsabs.harvard.edu/abs/2021ApJ...914...19S 914, 19

    Sanders R. L., et al., 2021, @doi [ ] 10.3847/1538-4357/abf4c1 , https://ui.adsabs.harvard.edu/abs/2021ApJ...914...19S 914, 19

  111. [119]

    L., Shapley A

    Sanders R. L., Shapley A. E., Topping M. W., Reddy N. A., Brammer G. B., 2024, @doi [ ] 10.3847/1538-4357/ad15fc , https://ui.adsabs.harvard.edu/abs/2024ApJ...962...24S 962, 24

  112. [120]

    Sarkar A., et al., 2025, @doi [ ] 10.3847/1538-4357/ad8f32 , https://ui.adsabs.harvard.edu/abs/2025ApJ...978..136S 978, 136

  113. [121]

    arXiv:2411.14532

    Saxena A., et al., 2024, @doi [arXiv e-prints] 10.48550/arXiv.2411.14532 , https://ui.adsabs.harvard.edu/abs/2024arXiv241114532S p. arXiv:2411.14532

  114. [122]

    Schaerer D., Guibert J., Marques-Chaves R., Martins F., 2025, @doi [ ] 10.1051/0004-6361/202451454 , https://ui.adsabs.harvard.edu/abs/2025A&A...693A.271S 693, A271

  115. [123]

    Schneider F. R. N., et al., 2018, @doi [Science] 10.1126/science.aan0106 , https://ui.adsabs.harvard.edu/abs/2018Sci...359...69S 359, 69

  116. [124]

    arXiv:2502.10499

    Scholte D., et al., 2025, @doi [arXiv e-prints] 10.48550/arXiv.2502.10499 , https://ui.adsabs.harvard.edu/abs/2025arXiv250210499S p. arXiv:2502.10499

  117. [125]

    arXiv:2409.20549

    Schouws S., et al., 2024, @doi [arXiv e-prints] 10.48550/arXiv.2409.20549 , https://ui.adsabs.harvard.edu/abs/2024arXiv240920549S p. arXiv:2409.20549

  118. [126]

    P., Chevallard J., Charlot S., Jones T., Vidal-Garc \' a A., 2019, @doi [ ] 10.1093/mnras/stz1907 , https://ui.adsabs.harvard.edu/abs/2019MNRAS.488.3492S 488, 3492

    Senchyna P., Stark D. P., Chevallard J., Charlot S., Jones T., Vidal-Garc \' a A., 2019, @doi [ ] 10.1093/mnras/stz1907 , https://ui.adsabs.harvard.edu/abs/2019MNRAS.488.3492S 488, 3492

  119. [127]

    P., Mirocha J., Reines A

    Senchyna P., Stark D. P., Mirocha J., Reines A. E., Charlot S., Jones T., Mulchaey J. S., 2020, @doi [ ] 10.1093/mnras/staa586 , https://ui.adsabs.harvard.edu/abs/2020MNRAS.494..941S 494, 941

  120. [128]

    L., 1968, Atlas de Galaxias Australes

    Sersic J. L., 1968, Atlas de Galaxias Australes

  121. [129]

    I., Sunyaev R

    Shakura N. I., Sunyaev R. A., 1973, , https://ui.adsabs.harvard.edu/abs/1973A&A....24..337S 24, 337

  122. [130]

    arXiv:2410.04436

    Shenar T., 2024, @doi [arXiv e-prints] 10.48550/arXiv.2410.04436 , https://ui.adsabs.harvard.edu/abs/2024arXiv241004436S p. arXiv:2410.04436

  123. [131]

    D., et al., 2013, @doi [ ] 10.1088/0004-6256/146/1/3 , https://ui.adsabs.harvard.edu/abs/2013AJ....146....3S 146, 3

    Skillman E. D., et al., 2013, @doi [ ] 10.1088/0004-6256/146/1/3 , https://ui.adsabs.harvard.edu/abs/2013AJ....146....3S 146, 3

  124. [132]

    S., 2020, @doi [ ] 10.1093/mnras/staa278 , https://ui.adsabs.harvard.edu/abs/2020MNRAS.493.3132S 493, 3132

    Speagle J. S., 2020, @doi [ ] 10.1093/mnras/staa278 , https://ui.adsabs.harvard.edu/abs/2020MNRAS.493.3132S 493, 3132

  125. [133]

    M., et al., 2024, @doi [ ] 10.1093/mnras/stae1705 , https://ui.adsabs.harvard.edu/abs/2024MNRAS.532.3102S 532, 3102

    Stanton T. M., et al., 2024, @doi [ ] 10.1093/mnras/stae1705 , https://ui.adsabs.harvard.edu/abs/2024MNRAS.532.3102S 532, 3102

  126. [134]

    M., et al., 2025, @doi [ ] 10.1093/mnras/staf106 , https://ui.adsabs.harvard.edu/abs/2025MNRAS.537.1735S 537, 1735

    Stanton T. M., et al., 2025, @doi [ ] 10.1093/mnras/staf106 , https://ui.adsabs.harvard.edu/abs/2025MNRAS.537.1735S 537, 1735

  127. [135]

    R., Eldridge J

    Stanway E. R., Eldridge J. J., 2018, @doi [ ] 10.1093/mnras/sty1353 , https://ui.adsabs.harvard.edu/abs/2018MNRAS.479...75S 479, 75

  128. [136]

    C., Strom A

    Steidel C. C., Strom A. L., Pettini M., Rudie G. C., Reddy N. A., Trainor R. F., 2016, @doi [ ] 10.3847/0004-637X/826/2/159 , https://ui.adsabs.harvard.edu/abs/2016ApJ...826..159S 826, 159

  129. [137]

    L., Rudie G

    Strom A. L., Rudie G. C., Steidel C. C., Trainor R. F., 2022, @doi [ ] 10.3847/1538-4357/ac38a3 , https://ui.adsabs.harvard.edu/abs/2022ApJ...925..116S 925, 116

  130. [138]

    Tacchella S., et al., 2025, @doi [ ] 10.1093/mnras/staf718 , https://ui.adsabs.harvard.edu/abs/2025MNRAS.540..851T 540, 851

  131. [139]

    G., Chisholm J., Sander A

    Telford O. G., Chisholm J., Sander A. A. C., Ramachandran V., McQuinn K. B. W., Berg D. A., 2024, @doi [ ] 10.3847/1538-4357/ad697e , https://ui.adsabs.harvard.edu/abs/2024ApJ...974...85T 974, 85

  132. [140]

    Terp C., Heintz K. E., Watson D., Brammer G., Carnall A., Witstok J., Smit R., Vejlgaard S., 2024, @doi [ ] 10.1051/0004-6361/202450375 , https://ui.adsabs.harvard.edu/abs/2024A&A...690A..70T 690, A70

  133. [141]

    X., Guseva N

    Thuan T. X., Guseva N. G., Izotov Y. I., 2022, @doi [ ] 10.1093/mnrasl/slac095 , https://ui.adsabs.harvard.edu/abs/2022MNRAS.516L..81T 516, L81

  134. [142]

    R., Quade M., Shenar T., 2015, @doi [ ] 10.1051/0004-6361/201526253 , https://ui.adsabs.harvard.edu/abs/2015A&A...579A..75T 579, A75

    Todt H., Sander A., Hainich R., Hamann W. R., Quade M., Shenar T., 2015, @doi [ ] 10.1051/0004-6361/201526253 , https://ui.adsabs.harvard.edu/abs/2015A&A...579A..75T 579, A75

  135. [143]

    W., Shapley A

    Topping M. W., Shapley A. E., Reddy N. A., Sanders R. L., Coil A. L., Kriek M., Mobasher B., Siana B., 2020, @doi [ ] 10.1093/mnras/staa1410 , https://ui.adsabs.harvard.edu/abs/2020MNRAS.495.4430T 495, 4430

  136. [144]

    W., et al., 2022a, @doi [ ] 10.1093/mnras/stac2291 , https://ui.adsabs.harvard.edu/abs/2022MNRAS.516..975T 516, 975

    Topping M. W., et al., 2022a, @doi [ ] 10.1093/mnras/stac2291 , https://ui.adsabs.harvard.edu/abs/2022MNRAS.516..975T 516, 975

  137. [145]

    W., Stark D

    Topping M. W., Stark D. P., Endsley R., Plat A., Whitler L., Chen Z., Charlot S., 2022b, @doi [ ] 10.3847/1538-4357/aca522 , https://ui.adsabs.harvard.edu/abs/2022ApJ...941..153T 941, 153

  138. [146]

    W., et al., 2024a, @doi [ ] 10.1093/mnras/stae682 , https://ui.adsabs.harvard.edu/abs/2024MNRAS.529.3301T 529, 3301

    Topping M. W., et al., 2024a, @doi [ ] 10.1093/mnras/stae682 , https://ui.adsabs.harvard.edu/abs/2024MNRAS.529.3301T 529, 3301

  139. [147]

    W., et al., 2024b, @doi [ ] 10.1093/mnras/stae800 , https://ui.adsabs.harvard.edu/abs/2024MNRAS.529.4087T 529, 4087

    Topping M. W., et al., 2024b, @doi [ ] 10.1093/mnras/stae800 , https://ui.adsabs.harvard.edu/abs/2024MNRAS.529.4087T 529, 4087

  140. [148]

    R., et al., 2023, @doi [ ] 10.3847/1538-4357/acba8a , https://ui.adsabs.harvard.edu/abs/2023ApJ...945...35T 945, 35

    Trump J. R., et al., 2023, @doi [ ] 10.3847/1538-4357/acba8a , https://ui.adsabs.harvard.edu/abs/2023ApJ...945...35T 945, 35

  141. [149]

    \"U bler H., et al., 2023, @doi [ ] 10.1051/0004-6361/202346137 , https://ui.adsabs.harvard.edu/abs/2023A&A...677A.145U 677, A145

  142. [150]

    Ucci G., et al., 2023, @doi [ ] 10.1093/mnras/stac2654 , https://ui.adsabs.harvard.edu/abs/2023MNRAS.518.3557U 518, 3557

  143. [151]

    Umeda H., Ouchi M., Nakajima K., Isobe Y., Aoyama S., Harikane Y., Ono Y., Matsumoto A., 2022, @doi [ ] 10.3847/1538-4357/ac602d , https://ui.adsabs.harvard.edu/abs/2022ApJ...930...37U 930, 37

  144. [152]

    Vanzella E., et al., 2023a, @doi [ ] 10.1051/0004-6361/202346981 , https://ui.adsabs.harvard.edu/abs/2023A&A...678A.173V 678, A173

  145. [153]

    Vanzella E., et al., 2023b, @doi [ ] 10.3847/1538-4357/acb59a , https://ui.adsabs.harvard.edu/abs/2023ApJ...945...53V 945, 53

  146. [154]

    Vanzi L., Cresci G., Telles E., Melnick J., 2008, @doi [ ] 10.1051/0004-6361:20078885 , https://ui.adsabs.harvard.edu/abs/2008A&A...486..393V 486, 393

  147. [155]

    Venditti A., Graziani L., Schneider R., Pentericci L., Di Cesare C., Maio U., Omukai K., 2023, @doi [ ] 10.1093/mnras/stad1201 , https://ui.adsabs.harvard.edu/abs/2023MNRAS.522.3809V 522, 3809

  148. [156]

    S., 2023, @doi [ ] 10.1051/0004-6361/202347827 , https://ui.adsabs.harvard.edu/abs/2023A&A...679L...9V 679, L9

    Vink J. S., 2023, @doi [ ] 10.1051/0004-6361/202347827 , https://ui.adsabs.harvard.edu/abs/2023A&A...679L...9V 679, L9

  149. [157]

    R., 1991, in Haynes R., Milne D., eds, IAU Symposium Vol

    Walborn N. R., 1991, in Haynes R., Milne D., eds, IAU Symposium Vol. 148, The Magellanic Clouds. p. 145

  150. [158]

    Welch B., et al., 2025, @doi [ ] 10.3847/1538-4357/ada76c , https://ui.adsabs.harvard.edu/abs/2025ApJ...980...33W 980, 33

  151. [159]

    J., et al., 2025, @doi [arXiv e-prints] 10.48550/arXiv.2502.07733 , https://ui.adsabs.harvard.edu/abs/2025arXiv250207733W p

    Willott C. J., et al., 2025, @doi [arXiv e-prints] 10.48550/arXiv.2502.07733 , https://ui.adsabs.harvard.edu/abs/2025arXiv250207733W p. arXiv:2502.07733

  152. [160]

    Wofford A., et al., 2023, @doi [ ] 10.1093/mnras/stad1622 , https://ui.adsabs.harvard.edu/abs/2023MNRAS.523.3949W 523, 3949

  153. [161]

    J., Papadopoulos P

    Zhang Z.-Y., Romano D., Ivison R. J., Papadopoulos P. P., Matteucci F., 2018, @doi [ ] 10.1038/s41586-018-0196-x , https://ui.adsabs.harvard.edu/abs/2018Natur.558..260Z 558, 260

  154. [162]

    arXiv:2503.03806

    Zier O., et al., 2025, @doi [arXiv e-prints] 10.48550/arXiv.2503.03806 , https://ui.adsabs.harvard.edu/abs/2025arXiv250303806Z p. arXiv:2503.03806

  155. [163]

    de Graaff A., et al., 2024, @doi [ ] 10.1051/0004-6361/202347755 , https://ui.adsabs.harvard.edu/abs/2024A&A...684A..87D 684, A87

Pith tools

Reviewed August 10, 2026 · model on record in the stance chip above.