Pith. sign in

REVIEW 3 major objections 5 minor 114 references

The ALMA REBELS survey: [OIII]$_{88\mu \text{m}}$ line scans of UV-bright $z \gtrsim 7.6$ galaxies

T0 review · 3 major / 5 minor · reviewed 2026-08-06 · deepseek-v4-flash

Pith's one-line read This paper reports ALMA spectral scans that find no [OIII] 88 micron emission in any of four z>7.6 galaxies, and shows that for REBELS-04 the non-detection is unexpected given its redshift coverage and star formation rate.

desk verdict Careful non-detection paper whose headline 'unexpected' [OIII] deficit for REBELS-04 only holds for a 100 km/s line width; at 400 km/s the limit is consistent with expectations. read the letter →

arxiv 2508.02390 v1 pith:PY35XQWQ submitted 2025-08-04 astro-ph.GA

classification astro-ph.GA
keywords high-redshiftgalaxies[OIII]88micronemissionALMAspectralscansreionizationepochdustcontinuuminterstellarmediumconditionsphotometricredshiftstarformationrate
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

The paper reports ALMA Band 7 spectral scans of four UV-bright galaxies at z > 7.6 searching for the [OIII] 88 micron line. It finds no credible line in any target. For REBELS-04 the absence is statistically meaningful: the scans cover at least 92 percent of the photometric redshift distribution and the galaxy's total (UV+IR) star formation rate is about 40 solar masses per year, so the 5-sigma upper limit on the line is a factor of 2-3 below the luminosity of z=6-9 galaxies with similar SFR. The paper argues this suppression points to high gas densities, a low ionization parameter, or low metallicity, with the dust continuum detection favoring density or ionization effects. Two targets also show significant dust continuum, and REBELS-04 would be the most distant dust-detected galaxy found with ALMA if its photometric redshift is right.

What carries the argument

The load-bearing tool is the coverage fraction of the photometric redshift likelihood distribution P(z) by the ALMA spectral windows: only when that fraction is high (at least 92 percent for REBELS-04) does a non-detection translate into a physical upper limit on the line luminosity. The second element is the [OIII] 88 micron line itself, a far-infrared fine-structure transition from HII regions with critical density n_crit ~ 510 $cm^{-3}$; above that density, collisional de-excitation suppresses the line, and the line also weakens at low ionization parameter and low metallicity, making it a density and ionization diagnostic. The combination of P(z) coverage and the line's physical sensitivity is what turns a blank ALMA scan into a claim about ISM conditions.

What would settle it

Measure a spectroscopic redshift for REBELS-04, for example through [CII] 158 micron with ALMA Band 6 or through JWST spectroscopy: if the redshift falls outside the scanned range z=8.10-9.39, the non-detection is a coverage effect, not evidence of suppressed [OIII] emission. A deeper ALMA observation that detects the line at the expected frequency would likewise falsify the suppression claim.

Watch

Extended reading notes

Core claim

The central claim is that [OIII] 88 micron emission is unexpectedly faint in REBELS-04. Given a photometric redshift of z = 8.57 (+0.10/-0.09), or 8.43 when a circumgalactic medium correction is applied, the ALMA scan covers at least 92 percent of the redshift likelihood yet no line is seen; the 5-$\sigma$ limit is L[OIII] < 4.2 x $10^{8}$ Lsun for a FWHM of 100 km/s, or 8.1 x $10^{8}$ Lsun for 400 km/s, corresponding to star formation rate limits of 18 and 36 solar masses per year. Because the total star formation rate is about 40 solar masses per year, the line is at least 0.33 dex fainter than the SFR-scaled expectation. The paper claims this can be explained by ISM densities above the critical density n_crit ~ 510 $cm^{-3}$, by log10 U_ion <= -2.5, or by low metallicity, and argues the dust detection makes the first two more likely. For the other targets, REBELS-37 is explained by a [CII]-measured redshift (z = 7.643) outside the scan; REBELS-11 and REBELS-13 remain ambiguous because only 40-50 percent of their redshift distributions were covered.

Load-bearing premise

The argument for REBELS-04 collapses if its photometric redshift is wrong, because the claim that at least 92 percent of the true redshift probability lies in the scanned range is what makes the non-detection meaningful.

Editorial extensions

If this is right

  • If REBELS-04's [OIII] deficit is real, then at least some UV-bright, dust-rich galaxies at z~8 are much fainter in [OIII] 88 micron than the z=6-9 SFR relation predicts, so [OIII] scans alone will miss such sources.
  • The preferred explanations (gas densities above about 510 cm^-3 or log10 U_ion below about -2.5) imply that the ionized gas in at least one reionization-era galaxy is denser or less ionized than typical high-redshift systems, with consequences for how far-infrared lines are used as star formation tracers.
  • If the photometric redshift holds, REBELS-04 becomes the most distant dust-continuum-detected galaxy known with ALMA, making it a priority target for JWST and deeper ALMA follow-up.
  • The REBELS-37 result shows the value of switching from [OIII] to [CII] when new HST data shifted the expected redshift, securing a spectroscopic redshift and excluding very cold dust; the same flexibility would benefit future z>8 surveys.

Reading between the lines

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

  • If this pattern generalizes, z>8 [OIII] luminosity functions built from targeted scans could be biased low, and the true [OIII]/[CII] ratio in reionization-era galaxies may be closer to 1-1.5 than the factor of about 3.5 assumed when the survey depth was set.
  • The quoted limits assume line FWHMs of 100 or 400 km/s; if typical z>8 lines are broader, double-peaked, or offset from the assumed centroid, the upper limits would be optimistic, and a spectrally resolved stacking analysis of the four cubes could test this.
  • Observing the [OIII] 52 micron line or [OIII] 5007 with JWST would break the degeneracy between high density and low ionization parameter for REBELS-04, since these lines respond differently to electron density; this follows from the paper's own ISM discussion but is not presented as a specific prediction.
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 / 5 minor

Summary. This paper reports ALMA Band 7 spectral scans of [OIII] 88 micron emission in four z > 7.6 REBELS galaxies over 326.4-373.0 GHz. No credible line is detected in any target. For REBELS-04, which has >=92% redshift-likelihood coverage and a UV+IR SFR of about 40 Msun/yr, the non-detection is interpreted as unexpected and used to discuss possible ISM conditions (high density, low ionization parameter, low metallicity) under an assumed line FWHM of 100 km/s. The paper also presents Band 7 dust continuum detections for REBELS-04 and REBELS-37, and uses Band 6 data for REBELS-37 to exclude cold dust temperatures (<28 K) at 3 sigma. The non-detection analysis is carefully executed with mf3d matched filtering, purity thresholds, aperture photometry with noise from 1000 random apertures, and two explicit FWHM assumptions; the paper is transparent about coverage fractions and caveats.

Significance. If the REBELS-04 non-detection is a genuine [OIII] deficit, it would extend studies of the [OIII] deficit to z ~ 8.6 and provide useful constraints on ISM density and ionization parameter at very high redshift. The paper ships public ALMA data and a reproducible analysis pipeline, and the non-detection treatment is more careful than is typical for survey papers. However, the headline 'unexpected' claim is sensitive to the assumed line width: at FWHM = 400 km/s the quoted upper limit is within ~0.04 dex of the Harikane et al. (2020) expectation, so the ISM interpretation is not robust without a line-width prior. The dust continuum results and the REBELS-37 temperature lower limit are solid additions.

major comments (3)
  1. [§4.1.1, Fig. 3, Table 3] The claim that the REBELS-04 non-detection is 'unexpected' is entirely carried by the FWHM = 100 km/s limit. With FWHM = 400 km/s, the 5 sigma upper limit is L[OIII] < 8.1e8 Lsun, while the Harikane et al. (2020) relation for SFR_UV+IR = 40 Msun/yr predicts about 9e8 Lsun; the limit is only ~0.04 dex below the prediction and is fully consistent within the relation's scatter. Since the line is not detected, its width is unmeasured, and z > 7 [OIII] emitters include systems with FWHM > 300 km/s (e.g., B14-65666 and A1689-zD1), the non-detection cannot be called unexpected without adopting a narrow-line prior. Please reframe the abstract and conclusions to present the deficit as conditional on a narrow intrinsic line width, or marginalize the luminosity limit over the observed FWHM distribution.
  2. [§4.1.1, Fig. 7] The ISM constraints on hydrogen density (n_H > ~510 cm^-3) and ionization parameter (log10 U_ion < -2.5) are derived from the FWHM = 100 km/s upper limit. At FWHM = 400 km/s, the limit lies on the Harikane et al. (2020) relation, so the density and ionization-parameter constraints are not supported. This is not a minor quantitative change: it removes the primary physical motivation for the ISM interpretation. The discussion should either be explicitly restricted to the narrow-line scenario or replaced with a treatment that acknowledges the full range of allowed line widths.
  3. [§2.3, Appendix A] The statement that the scan covers >=92% of the REBELS-04 redshift likelihood depends on the photometric redshift and, in particular, on the CGM absorption correction of Asada et al. (2025), which shifts z_phot from 8.57 to 8.43 and reduces the coverage from 99% to 92%. The paper does acknowledge this caveat, but the abstract and Section 5 restate the 'unexpected' conclusion without carrying the same caveat forward. Since a systematic error in the photometric redshift would make the non-detection uninformative, the conditional nature of the claim should be made prominent in both the abstract and conclusions.
minor comments (5)
  1. [Fig. 1 caption] The caption lists coverage as '98.68% (91.9%)' while the text (§2.3) quotes 99% and 92%; please unify these numbers and specify which corresponds to the CGM-corrected distribution.
  2. [§2.2, abstract] The quoted frequency range 326.4-373.0 GHz is the scanned range, but the SPW around 368.5 GHz is unusable because of an atmospheric line. Please state explicitly in the abstract or Section 2 that the coverage contains a gap, so readers do not infer continuous coverage.
  3. [§3.1 footnote] The footnote saying that the De Looze et al. (2014) relation gives SFRs a 'factor 0.8 smaller' is ambiguous; specify whether this means 0.8 times the Harikane values or 20% smaller.
  4. [Table 2] For REBELS-11 and REBELS-13, the table provides [OIII] flux upper limits but no explicit reminder in the table itself that these limits assume the line lies inside the observed frequency range. Adding a footnote to the table would improve clarity.
  5. [Appendix C] The sentence 'This yields a dust temperature of T_dust >= 28 K for REBELS-37' should be phrased as a lower limit, not a point estimate, to match the preceding discussion of the flux-ratio analysis.

Circularity Check

0 steps flagged · score 1.0 of 10

No significant circularity: the [OIII]88 non-detection is an observational measurement compared against external calibrations, with self-citations used only as independent photometric and line constraints.

full rationale

The paper's central result is an absence of a line in ALMA Band 7 cubes. That is a direct observational product reduced with standard tools (CASA, mf3d), not derived from the quantities it is compared against. The 'unexpected' characterization for REBELS-04 rests on (i) a photometric redshift coverage estimate (Section 2.3, Appendix A) and (ii) a comparison of 5-sigma upper limits (Table 3, Eq. 1) with the external Harikane et al. (2020) L[OIII]-SFR relation. The photometric redshift is obtained from HST/IRAC photometry and a Lyman-break plus [OIII]4959,5007 excess; it is not constructed from the [OIII]88 scan. The SFR used in the comparison is derived from UV luminosity (Bouwens et al. 2022) and the Band 7 dust continuum, which are independent of the line measurement. The paper explicitly reports both FWHM=100 and 400 km/s limits and states that the deficit interpretation applies for FWHM=100 km/s; the FWHM=400 km/s limit is consistent with the relation. This is a sensitivity and robustness caveat, not a reduction by construction. Self-citations to Bouwens et al. (2022), Inami et al. (2022), Sommovigo et al. (2022), and Schouws et al. (in preparation) provide photometric redshifts, continuum fluxes, dust temperature assumptions, and the [CII] redshift of REBELS-37; these are independent inputs that do not presuppose the [OIII]88 non-detection. No equation in the paper defines the predicted luminosity in terms of the measured upper limit, and no fitted parameter is renamed as a prediction. The analysis is therefore self-contained with respect to its input data; score 1 reflects minor reliance on in-preparation and self-cited calibrations, not circularity.

Assumptions & free parameters 4 free parameters · 4 assumptions · 0 invented entities

The central results are observational upper limits, so the main assumptions are the photometric redshifts, the adopted SFR and luminosity calibrations, and the dust SED model. No new physical entities are introduced. The free parameters are all adopted from prior literature with stated alternatives, which the paper handles transparently.

free parameters (4)
  • Assumed FWHM of [OIII] 88 micron line = 100 and 400 km/s
    The upper limits on line flux and luminosity depend directly on the assumed line width. The paper adopts two representative values from the literature rather than fitting the line, so this is a model parameter that determines the quoted luminosity limits.
  • Dust temperature for IR luminosity conversion = 47 K (with 70 K alternative)
    IR luminosities and SFR_IR are derived by integrating a modified blackbody with T_dust = 47 K and beta_IR = 2.03, taken from Sommovigo et al. (2022). The paper notes the IR luminosity would increase by about a factor of 3 if T_dust were 70 K, so the assumed temperature directly affects the total SFR used in the deficit argument.
  • Dust emissivity index beta_IR = 2.03 (with 1.5 and 2.5 alternatives in Figure 6)
    The dust temperature lower limits for REBELS-37 depend on the assumed value of beta_IR. The paper shows the constraint changes with beta_IR, so this is an assumed parameter rather than a fitted one.
  • CGM absorption shift in photometric redshift = delta_z = -0.14 for REBELS-04
    The paper adopts the Asada et al. (2025) prescription for CGM absorption to adjust the photometric redshift of REBELS-04 from 8.57 to 8.43. This shift affects the coverage fraction claim (99 percent to 92 percent) but does not change the overall conclusion.
assumptions (4)
  • domain assumption The photometric redshift likelihood distributions from Bouwens et al. (2022) and the updated eazy-py fits are accurate representations of the true redshift probability.
    The interpretation of the non-detections as physical [OIII] deficits depends on the true redshifts lying within the scanned frequency range. This is explicitly conditional in the paper for REBELS-11 and REBELS-13 and is the weakest point for REBELS-04.
  • domain assumption The Harikane et al. (2020) L[OIII] 88 micron to SFR relation derived from z=6-9 galaxies applies to z about 8.6 galaxies.
    The claim that the REBELS-04 non-detection is unexpected relies on this relation to convert the upper limit into an SFR limit of 18 to 36 solar masses per year and to compare with the SFR of 40 solar masses per year. If the relation has large scatter or does not extend to this redshift, the tension is weaker.
  • domain assumption The assumed modified blackbody dust SED with T_dust = 47 K and beta_IR = 2.03 represents the dust emission of these galaxies.
    IR luminosities and total SFRs are derived from single-band 88 micron continuum using this assumed SED. The paper acknowledges that higher dust temperatures would raise the IR luminosity and strengthen the [OIII] deficit conclusion.
  • domain assumption The 3.8-sigma Band 7 continuum detection of REBELS-04 is real and associated with the galaxy.
    The paper uses this detection to argue for prior metal enrichment, which supports the interpretation that high density or low ionization parameter, rather than low metallicity, explains the [OIII] non-detection. A 3.8-sigma detection is modest and could in principle be partly noise or an unresolved companion.

how reviews work

0 comments
Cite this review

Pith. "Pith review of The ALMA REBELS survey: [OIII]$_{88\mu \text{m}}$ line scans of UV-bright $z \gtrsim 7.6$ galaxies." pith.science (2026). https://pith.science/paper/PY35XQWQ

@misc{pith2026250802390,
  author       = {Pith},
  title        = {Pith review of: The ALMA REBELS survey: [OIII]$_88\mu \textm$ line scans of UV-bright $z \gtrsim 7.6$ galaxies},
  year         = {2026},
  howpublished = {\url{https://pith.science/paper/PY35XQWQ}},
  note         = {Machine review of arXiv:2508.02390}
}
abstract

We present the [OIII]$_{88\mu \text{m}}$ spectral scan results from the ALMA Large Program REBELS (Reionization Era Bright Emission Line Survey). The generally high luminosity of [OIII]$_{88\mu \text{m}}$ and ALMA's Band 7 efficiency motivated its use for line scans of REBELS targets at $z>8$. Spectral scans of four sources covered 326.4-373.0 GHz ($z=8.10$-9.39), reaching [OIII]$_{88\mu \text{m}}$ luminosities of $\mathrm{\sim7.6\times10^8\ L_{\odot}}$ ($5\sigma$) for a FWHM of 400 km s$^{-1}$. No credible lines are detected for the four targets. For REBELS-04, the non-detection is unexpected given the $\geq92\%$ coverage of the redshift likelihood distribution and its estimated SFR of 40 $\text{M}_{\odot}\ \text{yr}^{-1}$. Possible explanations for the faint [OIII]$_{88\mu \text{m}}$ emission (assuming a FWHM of 100 km s$^{-1}$) include high ISM densities ($>n_{\text{crit}} \approx 510\ \text{cm}^{-3}$) and low ionization parameters ($\mathrm{log_{10}\ U_{ion}\lesssim -2.5}$). For REBELS-37, a subsequent detection of [CII]$_{158\mu \text{m}}$ ($z=7.643$) confirmed it lay outside our scan range. For REBELS-11 and REBELS-13, it remains unclear if the non-detection is due to the depth of the line scan or redshift coverage. REBELS-04 and REBELS-37 show significant ($\geq3.8\sigma$) dust continuum emission in Band 7. If the photometric redshift of REBELS-04 is accurate, i.e., $z_{\mathrm{phot}}=8.57^{+0.10}_{-0.09}$ or $z_{\mathrm{phot}}=8.43^{+0.10}_{-0.10}$ accounting for additional neutral hydrogen in the circumgalactic medium, REBELS-04 would constitute the most distant dust-detected galaxy identified with ALMA to date. Additional Band 6 dust observations of REBELS-37 constrain the shape of the far-IR SED, ruling out cold dust temperatures ($\lesssim28$ K) at $3\sigma$. Further insight into these galaxies will require spectroscopic redshifts and deeper multi-band dust observations.

Figures

Figures reproduced from arXiv: 2508.02390 by the authors.

Figure 1
Figure 1. Top rows: Spectral extractions show our [OIII]88𝜇m line scans, binned in intervals of 90 km s−1 . The spectra are extracted by taking a circular aperture with an area equal to the beam size centered on rest-UV position of each target. The 1𝜎 uncertainty is calculated at each frequency by taking 1000 random apertures outside of the center of the image and measuring the standard deviation. Bottom rows: The redshift li… view at source ↗
Figure 2
Figure 2. The 5𝜎 limit on the [OIII]88𝜇m luminosity as function of frequency and redshift for the observations on the four REBELS targets (assuming a FWHM of 100 and 400 km s−1 ). The horizontal dotted lines indicate the SFR limit of 28 M⊙ yr−1 , for which the REBELS survey has been most efficient in the detection of [CII]158𝜇m. [OIII]88𝜇m luminosity is converted to SFR using the relation from Harikane et al. (2020) derived f… view at source ↗
Figure 4
Figure 4. The [OIII]88𝜇m to IR luminosity ratio as a function of IR luminosity. The only source with an upper limit on [OIII]88𝜇m and a dust detection, REBELS-04, is plotted with the star for two different assumed FWHMs. Galaxies at 𝑧 = 6 − 9 from the literature are plotted with circles (filled when detected in both [OIII]88𝜇m and dust continuum) and their IR luminosities are recalculated with a modified blackbody with 𝑇dust … view at source ↗
Figures from the paper (3 more)
Figure 5
Figure 5. Figure 5: Observations of the dust continuum at ∼ 88𝜇m for the four galaxies in REBELS targeted with [OIII]88𝜇m line scans with ALMA. The dust continuum is shown with the contours from 2 to 5𝜎 (dashed contours are negative), the background image is the astrometrically corrected …
Figure 6
Figure 6. Figure 6: Left: The ratio of the Band 7 and Band 6 continuum flux of REBELS-37 as a function of dust temperature plotted for distinct values of the emissivity index (𝛽IR). The Band 6 upper limit and Band 7 continuum detection of REBELS-37 exclude part of the parameter space, dep…
Figure 7
Figure 7. Figure 7: The [OIII]88𝜇m luminosity to SFR ratio as function of the ionization parameter. The upper limits of REBELS-04 for a FWHM of 100 and 400 km s −1 are shown as well as the upper limit the source should have to lie on the Harikane et al. (2020) L[OIII]88𝜇m -SFR relation. T…

Discussion (0). Sign in to comment.

Reference graph

Works this paper leans on

114 extracted references · 9 canonical work pages

  1. [1]

    arXiv:2405.21054

    Adamo A., et al., 2024, @doi [arXiv e-prints] 10.48550/arXiv.2405.21054 , https://ui.adsabs.harvard.edu/abs/2024arXiv240521054A p. arXiv:2405.21054

  2. [2]

    Aihara H., et al., 2018a, @doi [ ] 10.1093/pasj/psx066 , https://ui.adsabs.harvard.edu/abs/2018PASJ...70S...4A 70, S4

  3. [3]

    Aihara H., et al., 2018b, @doi [ ] 10.1093/pasj/psx081 , https://ui.adsabs.harvard.edu/abs/2018PASJ...70S...8A 70, S8

  4. [4]

    B., et al., 2022, @doi [ ] 10.3847/1538-4357/ac795b , https://ui.adsabs.harvard.edu/abs/2022ApJ...934...64A 934, 64

    Akins H. B., et al., 2022, @doi [ ] 10.3847/1538-4357/ac795b , https://ui.adsabs.harvard.edu/abs/2022ApJ...934...64A 934, 64

  5. [5]

    Algera H. S. B., et al., 2023, @doi [ ] 10.1093/mnras/stac3195 , https://ui.adsabs.harvard.edu/abs/2023MNRAS.518.6142A 518, 6142

  6. [6]

    Algera H. S. B., et al., 2024a, @doi [ ] 10.1093/mnras/stad3111 , https://ui.adsabs.harvard.edu/abs/2024MNRAS.527.6867A 527, 6867

  7. [7]

    Algera H. S. B., et al., 2024b, @doi [ ] 10.1093/mnras/stae1994 , https://ui.adsabs.harvard.edu/abs/2024MNRAS.533.3098A 533, 3098

  8. [8]

    arXiv:2501.10508

    Algera H., et al., 2025, @doi [arXiv e-prints] 10.48550/arXiv.2501.10508 , https://ui.adsabs.harvard.edu/abs/2025arXiv250110508A p. arXiv:2501.10508

Show all 114 references
  1. [9]

    Aravena M., et al., 2024, @doi [ ] 10.1051/0004-6361/202347281 , https://ui.adsabs.harvard.edu/abs/2024A&A...682A..24A 682, A24

  2. [10]

    Asada Y., et al., 2025, @doi [ ] 10.3847/2041-8213/adc388 , https://ui.adsabs.harvard.edu/abs/2025ApJ...983L...2A 983, L2

  3. [11]

    J., Scott P., 2009, @doi [ ] 10.1146/annurev.astro.46.060407.145222 , https://ui.adsabs.harvard.edu/abs/2009ARA&A..47..481A 47, 481

    Asplund M., Grevesse N., Sauval A. J., Scott P., 2009, @doi [ ] 10.1146/annurev.astro.46.060407.145222 , https://ui.adsabs.harvard.edu/abs/2009ARA&A..47..481A 47, 481

  4. [12]

    Bakx T. J. L. C., et al., 2020, @doi [ ] 10.1093/mnras/staa509 , https://ui.adsabs.harvard.edu/abs/2020MNRAS.493.4294B 493, 4294

  5. [13]

    Bakx T. J. L. C., et al., 2021, @doi [ ] 10.1093/mnrasl/slab104 , https://ui.adsabs.harvard.edu/abs/2021MNRAS.508L..58B 508, L58

  6. [14]

    Bakx T. J. L. C., et al., 2024, @doi [ ] 10.1093/mnras/stae1613 , https://ui.adsabs.harvard.edu/abs/2024MNRAS.532.2270B 532, 2270

  7. [15]

    Barrufet L., et al., 2023, @doi [ ] 10.1093/mnras/stad1259 , https://ui.adsabs.harvard.edu/abs/2023MNRAS.522.3926B 522, 3926

  8. [16]

    Behrens C., Pallottini A., Ferrara A., Gallerani S., Vallini L., 2018, @doi [ ] 10.1093/mnras/sty552 , https://ui.adsabs.harvard.edu/abs/2018MNRAS.477..552B 477, 552

  9. [17]

    Bertin E., Arnouts S., 1996, @doi [ ] 10.1051/aas:1996164 , http://adsabs.harvard.edu/abs/1996A

  10. [18]

    B \'e thermin M., et al., 2020, @doi [ ] 10.1051/0004-6361/202037649 , https://ui.adsabs.harvard.edu/abs/2020A&A...643A...2B 643, A2

  11. [19]

    Binggeli C., et al., 2021, @doi [ ] 10.1051/0004-6361/202038180 , https://ui.adsabs.harvard.edu/abs/2021A&A...646A..26B 646, A26

  12. [20]

    Bouwens R., et al., 2020, @doi [ ] 10.3847/1538-4357/abb830 , https://ui.adsabs.harvard.edu/abs/2020ApJ...902..112B 902, 112

  13. [21]

    J., et al., 2022, @doi [ ] 10.3847/1538-4357/ac5a4a , https://ui.adsabs.harvard.edu/abs/2022ApJ...931..160B 931, 160

    Bouwens R. J., et al., 2022, @doi [ ] 10.3847/1538-4357/ac5a4a , https://ui.adsabs.harvard.edu/abs/2022ApJ...931..160B 931, 160

  14. [22]

    Bowler R. A. A., Cullen F., McLure R. J., Dunlop J. S., Avison A., 2022, @doi [ ] 10.1093/mnras/stab3744 , https://ui.adsabs.harvard.edu/abs/2022MNRAS.510.5088B 510, 5088

  15. [23]

    Bowler R. A. A., et al., 2024, @doi [ ] 10.1093/mnras/stad3578 , https://ui.adsabs.harvard.edu/abs/2024MNRAS.527.5808B 527, 5808

  16. [24]

    Brammer G., 2021, eazy-py , @doi 10.5281/zenodo.5012704 , https://github.com/gbrammer/eazy-py

  17. [25]

    B., van Dokkum P

    Brammer G. B., van Dokkum P. G., Coppi P., 2008, @doi [ ] 10.1086/591786 , https://ui.adsabs.harvard.edu/abs/2008ApJ...686.1503B 686, 1503

  18. [26]

    CASA Team et al., 2022, @doi [ ] 10.1088/1538-3873/ac9642 , https://ui.adsabs.harvard.edu/abs/2022PASP..134k4501C 134, 114501

  19. [27]

    L., et al., 2015, @doi [ ] 10.1038/nature14500 , https://ui.adsabs.harvard.edu/abs/2015Natur.522..455C 522, 455

    Capak P. L., et al., 2015, @doi [ ] 10.1038/nature14500 , https://ui.adsabs.harvard.edu/abs/2015Natur.522..455C 522, 455

  20. [28]

    Carniani S., et al., 2017, @doi [ ] 10.1051/0004-6361/201630366 , https://ui.adsabs.harvard.edu/abs/2017A&A...605A..42C 605, A42

  21. [29]

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

  22. [30]

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

  23. [31]

    Cormier D., et al., 2012, @doi [ ] 10.1051/0004-6361/201219818 , https://ui.adsabs.harvard.edu/abs/2012A&A...548A..20C 548, A20

  24. [32]

    Cormier D., et al., 2015, @doi [ ] 10.1051/0004-6361/201425207 , https://ui.adsabs.harvard.edu/abs/2015A&A...578A..53C 578, A53

  25. [33]

    Dayal P., Ferrara A., 2018, @doi [ ] 10.1016/j.physrep.2018.10.002 , https://ui.adsabs.harvard.edu/abs/2018PhR...780....1D 780, 1

  26. [34]

    Dayal P., et al., 2022, @doi [ ] 10.1093/mnras/stac537 , https://ui.adsabs.harvard.edu/abs/2022MNRAS.512..989D 512, 989

  27. [35]

    De Looze I., et al., 2014, @doi [ ] 10.1051/0004-6361/201322489 , https://ui.adsabs.harvard.edu/abs/2014A&A...568A..62D 568, A62

  28. [36]

    Endsley R., et al., 2022, @doi [ ] 10.1093/mnras/stac3064 , https://ui.adsabs.harvard.edu/abs/2022MNRAS.517.5642E 517, 5642

  29. [37]

    Erben T., et al., 2009, @doi [ ] 10.1051/0004-6361:200810426 , https://ui.adsabs.harvard.edu/abs/2009A&A...493.1197E 493, 1197

  30. [38]

    Ferrara A., et al., 2022, @doi [ ] 10.1093/mnras/stac460 , https://ui.adsabs.harvard.edu/abs/2022MNRAS.512...58F 512, 58

  31. [39]

    Fudamoto Y., et al., 2021, @doi [ ] 10.1038/s41586-021-03846-z , https://ui.adsabs.harvard.edu/abs/2021Natur.597..489F 597, 489

  32. [40]

    Fudamoto Y., et al., 2022, @doi [ ] 10.3847/1538-4357/ac7a47 , https://ui.adsabs.harvard.edu/abs/2022ApJ...934..144F 934, 144

  33. [41]

    K., Sugahara Y., 2023, @doi [ ] 10.1093/mnras/stad743 , https://ui.adsabs.harvard.edu/abs/2023MNRAS.521.2962F 521, 2962

    Fudamoto Y., Inoue A. K., Sugahara Y., 2023, @doi [ ] 10.1093/mnras/stad743 , https://ui.adsabs.harvard.edu/abs/2023MNRAS.521.2962F 521, 2962

  34. [42]

    Fujimoto S., et al., 2024, @doi [ ] 10.3847/1538-4357/ad235c , https://ui.adsabs.harvard.edu/abs/2024ApJ...964..146F 964, 146

  35. [43]

    Harikane Y., et al., 2020, @doi [ ] 10.3847/1538-4357/ab94bd , https://ui.adsabs.harvard.edu/abs/2020ApJ...896...93H 896, 93

  36. [44]

    Harikane Y., et al., 2025, @doi [ ] 10.3847/1538-4357/ad9b2c , https://ui.adsabs.harvard.edu/abs/2025ApJ...980..138H 980, 138

  37. [45]

    Hashimoto T., et al., 2018, @doi [ ] 10.1038/s41586-018-0117-z , https://ui.adsabs.harvard.edu/abs/2018Natur.557..392H 557, 392

  38. [46]

    Hashimoto T., et al., 2019a, @doi [ ] 10.1093/pasj/psz049 , https://ui.adsabs.harvard.edu/abs/2019PASJ...71...71H 71, 71

  39. [47]

    K., Tamura Y., Matsuo H., Mawatari K., Yamaguchi Y., 2019b, @doi [ ] 10.1093/pasj/psz094 , https://ui.adsabs.harvard.edu/abs/2019PASJ...71..109H 71, 109

    Hashimoto T., Inoue A. K., Tamura Y., Matsuo H., Mawatari K., Yamaguchi Y., 2019b, @doi [ ] 10.1093/pasj/psz094 , https://ui.adsabs.harvard.edu/abs/2019PASJ...71..109H 71, 109

  40. [48]

    E., et al., 2022, @doi [ ] 10.3847/2041-8213/ac8057 , https://ui.adsabs.harvard.edu/abs/2022ApJ...934L..27H 934, L27

    Heintz K. E., et al., 2022, @doi [ ] 10.3847/2041-8213/ac8057 , https://ui.adsabs.harvard.edu/abs/2022ApJ...934L..27H 934, L27

  41. [49]

    Herrera-Camus R., et al., 2018a, @doi [ ] 10.3847/1538-4357/aac0f6 , https://ui.adsabs.harvard.edu/abs/2018ApJ...861...94H 861, 94

  42. [50]

    Herrera-Camus R., et al., 2018b, @doi [ ] 10.3847/1538-4357/aac0f9 , https://ui.adsabs.harvard.edu/abs/2018ApJ...861...95H 861, 95

  43. [51]

    Hildebrandt H., Pielorz J., Erben T., van Waerbeke L., Simon P., Capak P., 2009, @doi [ ] 10.1051/0004-6361/200811042 , http://adsabs.harvard.edu/abs/2009A

  44. [52]

    A., da Cunha E., 2020, @doi [Royal Society Open Science] 10.1098/rsos.200556 , https://ui.adsabs.harvard.edu/abs/2020RSOS....700556H 7, 200556

    Hodge J. A., da Cunha E., 2020, @doi [Royal Society Open Science] 10.1098/rsos.200556 , https://ui.adsabs.harvard.edu/abs/2020RSOS....700556H 7, 200556

  45. [53]

    Hygate A. P. S., et al., 2023, @doi [ ] 10.1093/mnras/stad1212 , https://ui.adsabs.harvard.edu/abs/2023MNRAS.524.1775H 524, 1775

  46. [54]

    Inami H., et al., 2022, @doi [ ] 10.1093/mnras/stac1779 , https://ui.adsabs.harvard.edu/abs/2022MNRAS.515.3126I 515, 3126

  47. [55]

    K., Shimizu I., Iwata I., Tanaka M., 2014a, @doi [ ] 10.1093/mnras/stu936 , https://ui.adsabs.harvard.edu/abs/2014MNRAS.442.1805I 442, 1805

    Inoue A. K., Shimizu I., Iwata I., Tanaka M., 2014a, @doi [ ] 10.1093/mnras/stu936 , https://ui.adsabs.harvard.edu/abs/2014MNRAS.442.1805I 442, 1805

  48. [56]

    K., Shimizu I., Tamura Y., Matsuo H., Okamoto T., Yoshida N., 2014b, @doi [ ] 10.1088/2041-8205/780/2/L18 , https://ui.adsabs.harvard.edu/abs/2014ApJ...780L..18I 780, L18

    Inoue A. K., Shimizu I., Tamura Y., Matsuo H., Okamoto T., Yoshida N., 2014b, @doi [ ] 10.1088/2041-8205/780/2/L18 , https://ui.adsabs.harvard.edu/abs/2014ApJ...780L..18I 780, L18

  49. [57]

    K., et al., 2016, @doi [Science] 10.1126/science.aaf0714 , https://ui.adsabs.harvard.edu/abs/2016Sci...352.1559I 352, 1559

    Inoue A. K., et al., 2016, @doi [Science] 10.1126/science.aaf0714 , https://ui.adsabs.harvard.edu/abs/2016Sci...352.1559I 352, 1559

  50. [58]

    K., Hashimoto T., Chihara H., Koike C., 2020, @doi [ ] 10.1093/mnras/staa1203 , https://ui.adsabs.harvard.edu/abs/2020MNRAS.495.1577I 495, 1577

    Inoue A. K., Hashimoto T., Chihara H., Koike C., 2020, @doi [ ] 10.1093/mnras/staa1203 , https://ui.adsabs.harvard.edu/abs/2020MNRAS.495.1577I 495, 1577

  51. [59]

    Isobe Y., Ouchi M., Nakajima K., Harikane Y., Ono Y., Xu Y., Zhang Y., Umeda H., 2023, @doi [ ] 10.3847/1538-4357/acf376 , https://ui.adsabs.harvard.edu/abs/2023ApJ...956..139I 956, 139

  52. [60]

    J., et al., 2013, @doi [ ] 10.1093/mnras/sts118 , https://ui.adsabs.harvard.edu/abs/2013MNRAS.428.1281J 428, 1281

    Jarvis M. J., et al., 2013, @doi [ ] 10.1093/mnras/sts118 , https://ui.adsabs.harvard.edu/abs/2013MNRAS.428.1281J 428, 1281

  53. [61]

    S., Laporte N., Treu T., Harikane Y., 2020, @doi [ ] 10.3847/1538-4357/abb943 , https://ui.adsabs.harvard.edu/abs/2020ApJ...903..150J 903, 150

    Jones T., Sanders R., Roberts-Borsani G., Ellis R. S., Laporte N., Treu T., Harikane Y., 2020, @doi [ ] 10.3847/1538-4357/abb943 , https://ui.adsabs.harvard.edu/abs/2020ApJ...903..150J 903, 150

  54. [62]

    Katz H., et al., 2020, @doi [ ] 10.1093/mnras/staa2355 , https://ui.adsabs.harvard.edu/abs/2020MNRAS.498..164K 498, 164

  55. [63]

    Katz H., et al., 2022, @doi [ ] 10.1093/mnras/stac028 , https://ui.adsabs.harvard.edu/abs/2022MNRAS.510.5603K 510, 5603

  56. [64]

    Kennicutt Jr. R. C., 1998, @doi [ ] 10.1146/annurev.astro.36.1.189 , https://ui.adsabs.harvard.edu/abs/1998ARA&A..36..189K 36, 189

  57. [65]

    A., Tsutsumi T., Brogan C

    Kepley A. A., Tsutsumi T., Brogan C. L., Indebetouw R., Yoon I., Mason B., Donovan Meyer J., 2020, @doi [ ] 10.1088/1538-3873/ab5e14 , https://ui.adsabs.harvard.edu/abs/2020PASP..132b4505K 132, 024505

  58. [66]

    M., Fruchter A

    Koekemoer A. M., Fruchter A. S., Hook R. N., Hack W., 2003, in Arribas S., Koekemoer A., Whitmore B., eds, HST Calibration Workshop : Hubble after the Installation of the ACS and the NICMOS Cooling System. p. 337

  59. [67]

    Kohandel M., Ferrara A., Pallottini A., Vallini L., Sommovigo L., Ziparo F., 2023, @doi [ ] 10.1093/mnrasl/slac166 , https://ui.adsabs.harvard.edu/abs/2023MNRAS.520L..16K 520, L16

  60. [68]

    D., Franx M., 2006, @doi [ ] 10.1086/508512 , http://adsabs.harvard.edu/abs/2006ApJ...649L..67L 649, L67

    Labb \'e I., Bouwens R., Illingworth G. D., Franx M., 2006, @doi [ ] 10.1086/508512 , http://adsabs.harvard.edu/abs/2006ApJ...649L..67L 649, L67

  61. [69]

    Labb \'e I., et al., 2010a, @doi [ ] 10.1088/2041-8205/708/1/L26 , http://adsabs.harvard.edu/abs/2010ApJ...708L..26L 708, L26

  62. [70]

    Labb \'e I., et al., 2010b, @doi [ ] 10.1088/2041-8205/716/2/L103 , http://adsabs.harvard.edu/abs/2010ApJ...716L.103L 716, L103

  63. [71]

    Labb \'e I., et al., 2013, @doi [ ] 10.1088/2041-8205/777/2/L19 , http://adsabs.harvard.edu/abs/2013ApJ...777L..19L 777, L19

  64. [72]

    Labb \'e I., et al., 2015, @doi [ ] 10.1088/0067-0049/221/2/23 , http://adsabs.harvard.edu/abs/2015ApJS..221...23L 221, 23

  65. [73]

    Lawrence A., et al., 2007, @doi [ ] 10.1111/j.1365-2966.2007.12040.x , https://ui.adsabs.harvard.edu/abs/2007MNRAS.379.1599L 379, 1599

  66. [74]

    Le F \`e vre O., et al., 2020, @doi [ ] 10.1051/0004-6361/201936965 , https://ui.adsabs.harvard.edu/abs/2020A&A...643A...1L 643, A1

  67. [75]

    Liang L., et al., 2019, @doi [ ] 10.1093/mnras/stz2134 , https://ui.adsabs.harvard.edu/abs/2019MNRAS.489.1397L 489, 1397

  68. [76]

    C., et al., 2013, @doi [ ] 10.1086/671138 , https://ui.adsabs.harvard.edu/abs/2013PASP..125..600M 125, 600

    Madden S. C., et al., 2013, @doi [ ] 10.1086/671138 , https://ui.adsabs.harvard.edu/abs/2013PASP..125..600M 125, 600

  69. [77]

    Malhotra S., et al., 2001, @doi [ ] 10.1086/323046 , https://ui.adsabs.harvard.edu/abs/2001ApJ...561..766M 561, 766

  70. [78]

    P., et al., 2018, @doi [ ] 10.1038/nature24629 , https://ui.adsabs.harvard.edu/abs/2018Natur.553...51M 553, 51

    Marrone D. P., et al., 2018, @doi [ ] 10.1038/nature24629 , https://ui.adsabs.harvard.edu/abs/2018Natur.553...51M 553, 51

  71. [79]

    Mauduit J.-C., Lacy M., Farrah D., Surace J., Jarvis M., Oliver S., Maraston C., SERVS Team 2012, in American Astronomical Society Meeting Abstracts \#219. p. 446.19

  72. [80]

    Mitsuhashi I., et al., 2024, @doi [ ] 10.3847/1538-4357/ad5675 , https://ui.adsabs.harvard.edu/abs/2024ApJ...971..161M 971, 161

  73. [81]

    Mohan N., Rafferty D., 2015, PyBDSF: Python Blob Detection and Source Finder , Astrophysics Source Code Library, record ascl:1502.007

  74. [82]

    Moriwaki K., et al., 2018, @doi [ ] 10.1093/mnrasl/sly167 , https://ui.adsabs.harvard.edu/abs/2018MNRAS.481L..84M 481, L84

  75. [83]

    Nakazato Y., Yoshida N., Ceverino D., 2023, @doi [ ] 10.3847/1538-4357/ace25a , https://ui.adsabs.harvard.edu/abs/2023ApJ...953..140N 953, 140

  76. [84]

    Palla M., et al., 2024, @doi [ ] 10.1093/mnras/stae160 , https://ui.adsabs.harvard.edu/abs/2024MNRAS.528.2407P 528, 2407

  77. [85]

    Pallottini A., et al., 2022, @doi [ ] 10.1093/mnras/stac1281 , https://ui.adsabs.harvard.edu/abs/2022MNRAS.513.5621P 513, 5621

  78. [86]

    Pavesi R., et al., 2018, @doi [ ] 10.3847/1538-4357/aacb79 , https://ui.adsabs.harvard.edu/abs/2018ApJ...864...49P 864, 49

  79. [87]

    Popping G., 2023, @doi [ ] 10.1051/0004-6361/202244831 , https://ui.adsabs.harvard.edu/abs/2023A&A...669L...8P 669, L8

  80. [88]

    W., et al., 2023, @doi [ ] 10.3847/1538-4357/acb8ab , https://ui.adsabs.harvard.edu/abs/2023ApJ...945...69R 945, 69

    Ren Y. W., et al., 2023, @doi [ ] 10.3847/1538-4357/acb8ab , https://ui.adsabs.harvard.edu/abs/2023ApJ...945...69R 945, 69

  81. [89]

    W., et al., 2016, @doi [ ] 10.3847/0004-637X/823/2/143 , https://ui.adsabs.harvard.edu/abs/2016ApJ...823..143R 823, 143

    Roberts-Borsani G. W., et al., 2016, @doi [ ] 10.3847/0004-637X/823/2/143 , https://ui.adsabs.harvard.edu/abs/2016ApJ...823..143R 823, 143

  82. [90]

    E., 2022, @doi [ ] 10.1146/annurev-astro-120221-044656 , https://ui.adsabs.harvard.edu/abs/2022ARA&A..60..121R 60, 121

    Robertson B. E., 2022, @doi [ ] 10.1146/annurev-astro-120221-044656 , https://ui.adsabs.harvard.edu/abs/2022ARA&A..60..121R 60, 121

  83. [91]

    E., et al., 2024, @doi [ ] 10.1093/mnras/stae2217 , https://ui.adsabs.harvard.edu/abs/2024MNRAS.535.2068R 535, 2068

    Rowland L. E., et al., 2024, @doi [ ] 10.1093/mnras/stae2217 , https://ui.adsabs.harvard.edu/abs/2024MNRAS.535.2068R 535, 2068

  84. [92]

    E., et al., 2025, @doi [arXiv e-prints] 10.48550/arXiv.2501.10559 , https://ui.adsabs.harvard.edu/abs/2025arXiv250110559R p

    Rowland L. E., et al., 2025, @doi [arXiv e-prints] 10.48550/arXiv.2501.10559 , https://ui.adsabs.harvard.edu/abs/2025arXiv250110559R p. arXiv:2501.10559

  85. [93]

    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

  86. [94]

    Schimek A., et al., 2024, @doi [ ] 10.1051/0004-6361/202346945 , https://ui.adsabs.harvard.edu/abs/2024A&A...682A..98S 682, A98

  87. [95]

    Schouws S., et al., 2023, @doi [ ] 10.3847/1538-4357/ace10c , https://ui.adsabs.harvard.edu/abs/2023ApJ...954..103S 954, 103

  88. [96]

    Schouws S., et al., 2025, @doi [ ] 10.3847/1538-4357/adbf1b , https://ui.adsabs.harvard.edu/abs/2025ApJ...988...19S 988, 19

  89. [97]

    Schreiber C., Elbaz D., Pannella M., Ciesla L., Wang T., Franco M., 2018, @doi [ ] 10.1051/0004-6361/201731506 , https://ui.adsabs.harvard.edu/abs/2018A&A...609A..30S 609, A30

  90. [98]

    Smit R., et al., 2018, @doi [ ] 10.1038/nature24631 , https://ui.adsabs.harvard.edu/abs/2018Natur.553..178S 553, 178

  91. [99]

    M., Downes D., Radford S

    Solomon P. M., Downes D., Radford S. J. E., 1992, @doi [ ] 10.1086/186569 , https://ui.adsabs.harvard.edu/abs/1992ApJ...398L..29S 398, L29

  92. [100]

    Sommovigo L., et al., 2022, @doi [ ] 10.1093/mnras/stac2997 , https://ui.adsabs.harvard.edu/abs/2022MNRAS.517.5930S 517, 5930

  93. [101]

    Stefanon M., et al., 2019, @doi [ ] 10.3847/1538-4357/ab3792 , https://ui.adsabs.harvard.edu/abs/2019ApJ...883...99S 883, 99

  94. [102]

    L., et al., 2014, @doi [ ] 10.1088/2041-8205/791/2/L25 , http://adsabs.harvard.edu/abs/2014ApJ...791L..25S 791, L25

    Steinhardt C. L., et al., 2014, @doi [ ] 10.1088/2041-8205/791/2/L25 , http://adsabs.harvard.edu/abs/2014ApJ...791L..25S 791, L25

  95. [103]

    Tadaki K.-i., et al., 2022, @doi [ ] 10.1093/pasj/psac018 , https://ui.adsabs.harvard.edu/abs/2022PASJ...74L...9T 74, L9

  96. [104]

    Tamura Y., et al., 2019, @doi [ ] 10.3847/1538-4357/ab0374 , https://ui.adsabs.harvard.edu/abs/2019ApJ...874...27T 874, 27

  97. [105]

    Tamura Y., et al., 2023, @doi [ ] 10.3847/1538-4357/acd637 , https://ui.adsabs.harvard.edu/abs/2023ApJ...952....9T 952, 9

  98. [106]

    Tang M., et al., 2023, @doi [ ] 10.1093/mnras/stad2763 , https://ui.adsabs.harvard.edu/abs/2023MNRAS.526.1657T 526, 1657

  99. [107]

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

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

  100. [108]

    P., et al., 2020, @doi [ ] 10.3847/1538-4357/abc563 , https://ui.adsabs.harvard.edu/abs/2020ApJ...904..130V 904, 130

    Venemans B. P., et al., 2020, @doi [ ] 10.3847/1538-4357/abc563 , https://ui.adsabs.harvard.edu/abs/2020ApJ...904..130V 904, 130

  101. [109]

    Walter F., et al., 2018, @doi [ ] 10.3847/2041-8213/aaf4fa , https://ui.adsabs.harvard.edu/abs/2018ApJ...869L..22W 869, L22

  102. [110]

    Witstok J., et al., 2022, @doi [ ] 10.1093/mnras/stac1905 , https://ui.adsabs.harvard.edu/abs/2022MNRAS.515.1751W 515, 1751

  103. [111]

    G., McKee C

    Wolfire M. G., McKee C. F., Hollenbach D., Tielens A. G. G. M., 2003, @doi [ ] 10.1086/368016 , https://ui.adsabs.harvard.edu/abs/2003ApJ...587..278W 587, 278

  104. [112]

    Wong Y. H. V., et al., 2022, @doi [ ] 10.3847/1538-4357/ac5cc7 , https://ui.adsabs.harvard.edu/abs/2022ApJ...929..161W 929, 161

  105. [113]

    A., et al., 2024, @doi [ ] 10.3847/2041-8213/ad8f38 , https://ui.adsabs.harvard.edu/abs/2024ApJ...977L...9Z 977, L9

    Zavala J. A., et al., 2024, @doi [ ] 10.3847/2041-8213/ad8f38 , https://ui.adsabs.harvard.edu/abs/2024ApJ...977L...9Z 977, L9

  106. [114]

    da Cunha E., et al., 2013, @doi [ ] 10.1088/0004-637X/766/1/13 , https://ui.adsabs.harvard.edu/abs/2013ApJ...766...13D 766, 13

Pith tools

Reviewed August 6, 2026 · model on record in the stance chip above.