Pith. sign in

REVIEW 2 major objections 5 minor 2 cited by

Subaru High-z Exploration of Low-Luminosity Quasars (SHELLQs). XXIV. 54 New Quasars and Candidate Obscured Quasars at $5.71 \le z \le 7.02$

T0 review · 2 major / 5 minor · reviewed 2026-08-05 · deepseek-v4-flash

Pith's one-line read The final SHELLQs spectroscopic batch adds 43 quasars, 11 obscured-quasar candidates, and 29 galaxies from the epoch of reionization.

desk verdict A useful final SHELLQs discovery catalog whose headline 43/11 split is not fully reproducible from Table 1 because four objects listed as quasars satisfy the paper's own narrow-line candidate criterion. read the letter →

arxiv 2508.21229 v2 pith:EI2I24GE submitted 2025-08-28 astro-ph.GA

classification astro-ph.GA
keywords high-redshiftquasarsepochofreionizationSHELLQssurveyLyman-alphaemittersobscuredquasarluminosityfunctionHyperSuprime-Camactivegalacticnuclei
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

This is the final major discovery installment of a decade-long project that hunts for the faintest quasars in the era when the first stars and black holes were reionizing the universe. It reports spectra of 132 photometric candidates drawn from the completed Subaru/Hyper Suprime-Cam survey: 43 turn out to be quasars at redshifts 5.71–7.02, 11 are candidate obscured quasars (luminous narrow Lyα emitters), and 29 are galaxies at similar redshifts. The batch includes a quasar at z = 7.02, several very faint active galactic nuclei that bridge JWST-discovered objects and bright quasars, and two z = 5.98 galaxies separated by 900 kpc that may trace a galaxy overdensity. The paper is deliberately a catalog paper: it establishes these objects as real, while the statistical analysis of the full sample is deferred to the next publication.

What carries the argument

The working objects are dropout-selected quasar candidates from HSC imaging, chosen by i/z/y color cuts or a Bayesian probability algorithm and requiring a spectral break; the decisive observable is the Lyα region, where broad emission and blue continuum mark quasars, narrow bright Lyα marks candidate obscured quasars, and weak or absent Lyα marks galaxies. A relaxed image-shape criterion (µ/µ_PSF < 3.0 in the z band for i-dropouts) was added to recover more extended sources. Redshifts and line properties come from R ~ 1200–1500 optical spectroscopy with FOCAS and OSIRIS.

What would settle it

Observe the 29 newly classified galaxies with JWST/NIRSpec in the rest-optical: if a substantial fraction show broad Hα or He I lines, they are actually obscured quasars and the 43/29 split is wrong. Separately, a deep narrow-band or spectroscopic map around the two z = 5.98 galaxies would show whether there is a real overdensity or just a random pair.

Watch

Extended reading notes

Core claim

The authors claim to have spectroscopically identified the last major batch of low-luminosity quasars from the completed HSC-SSP imaging survey: 43 broad-line quasars at 5.71 ≤ z ≤ 7.02, 11 candidate obscured (narrow-line) quasars at 6.01 ≤ z ≤ 6.88, and 29 galaxies at similar redshifts, bringing the project's census of broad-line epoch-of-reionization quasars to 182. Quasars are recognized by a broad Lyα bump and blue continuum with the sharp intergalactic-medium break; objects with luminous (L > 10^43 erg/s) narrow Lyα emission are classed as candidate obscured quasars, a reading supported by JWST/NIRSpec, which found broad Balmer lines in seven of eleven previously known members. Two gala

Load-bearing premise

The classification of each object as a quasar or a galaxy rests on a visual judgment of whether a broad spectral bump is present around Lyα—a judgment the authors admit is not always straightforward; if wrong for some objects, the stated counts would change, even though the population as a whole would survive.

Editorial extensions

If this is right

  • If the identifications are correct, the SHELLQs census now contains 182 broad-line quasars at 5.6 < z < 7.1, a sample large enough to anchor the faint end of the quasar luminosity function at the end of reionization.
  • The z = 7.02 and z = 6.72 quasars, with M1450 ≈ −25.6 and −25.7, become high-priority targets for ALMA and JWST studies of early black-hole–host connections.
  • The two z = 5.98 galaxies separated by 900 kpc give a concrete target for verifying whether a galaxy overdensity or protocluster exists in that field.
  • The JWST-confirmed broad Balmer lines in previously reported narrow-line sources support using L_Lyα > 10^43 erg/s as a practical AGN selection criterion at z > 6.
  • Because the shape cut was relaxed, the paper demonstrates that extended i-dropouts can also host epoch-of-reionization quasars, implying earlier size-based cuts were discarding some real sources.

Reading between the lines

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

  • The visual quasar/galaxy split is the softest point: if better data moved even a handful of objects across the boundary, the 43/29 numbers would shift, though the existence of a substantial high-redshift population would stand.
  • If the z = 5.98 pair is a genuine overdensity, the same dropout technique could be used to find protoclusters in the HSC footprint by searching for pairs of luminous galaxies at coincident redshifts, not only isolated quasars.
  • The narrow-line, L > 10^43 erg/s population may be the ground-based counterpart of JWST's broad-Balmer and 'little red dot' AGNs; cross-matching the two samples could measure the obscured fraction of AGNs during reionization.
  • Adding near-IR photometry would cleanly separate the 30 brown-dwarf contaminants from the 14 z ≈ 2 passive galaxies, improving the purity of future high-z quasar selections.
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

2 major / 5 minor

Summary. This is the 24th SHELLQs paper and reports spectroscopic results for 132 photometric quasar candidates observed with Subaru/FOCAS and GTC/OSIRIS between 2021 November and 2025 March. The main result is the identification of 43 broad-line quasars at 5.71 ≤ z ≤ 7.02, 11 candidate obscured (narrow-line) quasars at 6.01 ≤ z ≤ 6.88, and 29 galaxies at z ≈ 5.56–6.28, including a z = 7.02 quasar and two luminous galaxies at z = 5.98 separated by 900 kpc that may trace an overdensity. The paper also identifies 5 [O III] emitters at z < 1, 30 Galactic brown dwarfs, and 14 passive galaxies at z ≈ 1.5–2.2 as contaminants, and it presents full spectra, line measurements, and an observation journal in Tables 1 and 2. Statistical analysis of the full SHELLQs sample is deferred to a future paper.

Significance. If the classifications are correct, this is a valuable final discovery sample from a major survey: it extends the low-luminosity quasar sample into the epoch of reionization with a z = 7.02 quasar and a possible z = 5.98 overdensity, and it adds 11 candidate obscured quasars, two of which have already been independently confirmed as mildly obscured quasars by JWST/NIRSpec. The paper is careful in flagging sky-noise features, reporting measurement uncertainties, labeling the obscured class as 'candidate,' and testing the brown-dwarf versus passive-galaxy separation with a template-fitting check. These strengths make the catalog useful for future JWST follow-up and for the planned full-sample statistical analysis. However, the exact 43/11/29 breakdown is not reproducible from Table 1 using the paper's own stated criteria, and this issue is load-bearing for the headline counts.

major comments (2)
  1. [§3, Table 1] Section 3 defines candidate obscured quasars as objects with LLyα > 10^43 erg/s and FWHM < 500 km/s, but Table 1 lists four objects in the Quasars section that satisfy these criteria: J135818.89−013249.7 (FWHM 430±130, log LLyα 44.07), J115900.87+025819.2 (430±30, 44.17), J023811.54+040416.5 (300±300, 43.57), and J223942.28+040943.2 (480±140, 43.24). The later sentence that quasars are identified by 'a hint of broad spectral bump around Lyα' could in principle resolve the inconsistency, but the paper does not state that these four objects show such a bump, nor does it explain how the FWHM/luminosity criterion is applied when a broad bump is present. The abstract and title counts (43 and 11) therefore cannot be checked from the published table. Please reclassify the objects or provide an explicit decision rule, including the treatment of FWHM errors and upper limits, that makes the table
  2. [§3, quasar/galaxy separation paragraph] The paper states that 'we classified objects with a hint of broad spectral bump around Lyα as quasars, and the remaining objects as galaxies,' and acknowledges that the separation 'is not always straightforward.' This is a subjective visual criterion with no quantitative significance threshold, yet the 43/29 split between quasars and galaxies is a headline result and will feed the forthcoming statistical analysis. Since Table 1 does not record the presence or significance of a broad component, a reader cannot reproduce the classification from the published data. Please provide a quantitative measure (e.g., the significance of a broad-line component, a Δχ² criterion, or a line-asymmetry index), or at minimum a per-object classification-quality flag distinguishing secure and marginal quasars.
minor comments (5)
  1. [Abstract / Table 1] The abstract states the EoR objects span 5.71 ≤ z ≤ 7.02, but the galaxy list in Table 1 includes J145945.34+415206.4 at z = 5.56. Please clarify how 'similar redshifts' is defined or adjust the stated range.
  2. [Table 1] J220754.87+065111.8 appears as two rows (Lyα and N V) without a merged label. Please make clear that the second row is an additional line of the same object.
  3. [§3, brown dwarf / passive galaxy discussion] There is a typo: 'althouth' should be 'although'.
  4. [Table 1 caption] Several FWHM entries are upper limits (e.g., '< 230') and many have large uncertainties. The caption should state explicitly whether FWHM values are central values from a single Gaussian fit and how upper limits are derived.
  5. [§2] The text uses 'S21A and S23B internal data releases' and later 'S23B DR'; define DR at first use for readers outside the HSC project.

Circularity Check

0 steps flagged · score 0.0 of 10

No significant circularity: the paper is an observational catalog whose classifications use stated external thresholds and visual criteria, not derived predictions.

full rationale

The paper's claims are empirical identifications from spectroscopy (43 quasars, 11 candidate obscured quasars, 29 galaxies), not a derivation chain. The classification rule for candidate obscured quasars is explicitly stated in Section 3: objects with luminous narrow Lyα (LLyα>10^43 erg/s, FWHM<500 km/s) are classified as candidate obscured quasars, based on external lower-redshift AGN statistics cited from Konno et al. 2016, Sobral et al. 2018, Spinoso et al. 2020. This threshold is not fitted to the present sample, and the resulting candidate population was independently tested with JWST/NIRSpec (Matsuoka et al. 2025), as stated in the text. The quasar/galaxy split is defined by a quoted visual criterion ('objects with a hint of broad spectral bump around Lyα as quasars, and the remaining objects as galaxies'), and the authors explicitly acknowledge that the separation is 'not always straightforward.' That is a classification-uncertainty caveat, not a circular step: no quantity is defined in terms of the outcome it is used to predict, and no fitted parameter is renamed as a prediction. The skeptic's observation that a few Table 1 objects listed as quasars have measured FWHM<500 km/s and log LLyα>43 is a reproducibility/boundary-consistency concern about the visual classification, but it does not make the conclusion circular; the paper's stated quasar criterion is the presence of a broad spectral bump, not the numerical thresholds alone. Self-citations to earlier SHELLQs papers for selection criteria and measurement procedures are contextual methodology references, and the operational rules are reproduced in this paper rather than imported as unverifiable black boxes. No equation in the paper reduces to its own inputs, and no external benchmark is replaced by a self-referential claim. The correct circularity finding is therefore a clean 0.

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

The central claim relies on the photometric selection being effective, on spectral classification criteria that are partly visual, and on the luminosity/FWHM threshold used to identify candidate obscured quasars. These are assumptions inherited from the literature or from the project's own earlier papers, not free parameters fitted in this work. No new physical entities are proposed.

assumptions (5)
  • domain assumption HSC i-z-y photometry and the Bayesian/algebraic color selection isolate genuine z>5.6 quasar candidates.
    Invoked in Section 2 to define the 132 targets; the paper does not validate the selection efficiency internally.
  • domain assumption Narrow Ly-alpha emitters with LLy-alpha > 10^43 erg/s and FWHM < 500 km/s are candidate obscured quasars.
    Used in Section 3 to classify 11 objects; based on lower-z AGN statistics and prior JWST confirmations.
  • domain assumption Visual inspection of a broad spectral bump around Ly-alpha separates quasars from galaxies.
    Section 3 acknowledges this is not always straightforward; it determines the 43/29 split.
  • domain assumption Brown dwarf and passive galaxy templates (Burgasser 2014, Skrzypek 2015, Coleman 1980) are adequate to identify contaminants.
    Section 3 uses these templates, with the caveat that the separation is ambiguous.
  • standard math Standard flat cosmology (H0=70, OmegaM=0.3) and Schlegel et al. extinction map.
    Used to compute M1450 and luminosities; standard practice.

how reviews work

0 comments
Cite this review

Pith. "Pith review of Subaru High-z Exploration of Low-Luminosity Quasars (SHELLQs). XXIV. 54 New Quasars and Candidate Obscured Quasars at $5.71 \le z \le 7.02$." pith.science (2026). https://pith.science/paper/EI2I24GE

@misc{pith2026250821229,
  author       = {Pith},
  title        = {Pith review of: Subaru High-z Exploration of Low-Luminosity Quasars (SHELLQs). XXIV. 54 New Quasars and Candidate Obscured Quasars at $5.71 \le z \le 7.02$},
  year         = {2026},
  howpublished = {\url{https://pith.science/paper/EI2I24GE}},
  note         = {Machine review of arXiv:2508.21229}
}
abstract

We present spectroscopic identification of 43 quasars and 11 candidate obscured quasars in the epoch of reionization (EoR) at $5.71 \le z \le 7.02$, along with 29 galaxies at similar redshifts. This is the 24th publication from the Subaru High-$z$ Exploration of Low-Luminosity Quasars (SHELLQs) project, which exploits the Hyper Suprime-Cam (HSC) Subaru Strategic Program (SSP) imaging survey to search for EoR quasars. The HSC-SSP survey has completed, and this paper is likely the final installment of major (unobscured) quasar discoveries from the SHELLQs project. In addition to the EoR objects, we identified five strong [O III] line emitters at $z < 1$, 30 Galactic brown dwarfs, and 14 passive galaxies at $z \sim 2$, which contaminated our sample of photometric quasar candidates. The present paper focuses on describing the immediate outcome of the spectroscopic observations, while a statistical analysis of the full SHELLQs sample will be presented in our next publication.

Figures

Figures reproduced from arXiv: 2508.21229 by the authors.

Figure 1
Figure 1. Discovery spectra of the first set of 15 quasars, displayed in decreasing order of redshift. The object name and the estimated redshift (with uncertainty ∆z ∼ 0.01 − 0.1; Matsuoka et al. 2022) are indicated at the top left corner of each panel. The blue dotted lines mark the expected positions of the Lyα and N V λ1240 emission lines, given the redshifts. The spectra were smoothed using inverse-variance weighted mean… view at source ↗
Figure 2
Figure 2. Same as [PITH_FULL_IMAGE:figures/full_fig_p006_2.png] view at source ↗
Figure 3
Figure 3. Same as [PITH_FULL_IMAGE:figures/full_fig_p007_3.png] view at source ↗
Figures from the paper (7 more)
Figure 4
Figure 4. Figure 4: Same as [PITH_FULL_IMAGE:figures/full_fig_p008_4.png]
Figure 5
Figure 5. Figure 5: Same as [PITH_FULL_IMAGE:figures/full_fig_p009_5.png]
Figure 6
Figure 6. Figure 6: Same as [PITH_FULL_IMAGE:figures/full_fig_p010_6.png]
Figure 7
Figure 7. Figure 7: Same as [PITH_FULL_IMAGE:figures/full_fig_p011_7.png]
Figure 8
Figure 8. Figure 8: Same as [PITH_FULL_IMAGE:figures/full_fig_p012_8.png]
Figure 9
Figure 9. Figure 9: Same as [PITH_FULL_IMAGE:figures/full_fig_p013_9.png]
Figure 10
Figure 10. Figure 10: Same as [PITH_FULL_IMAGE:figures/full_fig_p014_10.png]

Discussion (0). Sign in to comment.

Forward citations

Cited by 2 Pith papers

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

  1. Extremely UV-bright starbursts at the end of cosmic reionization

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

    Very UV-bright galaxies at z~6 are ~6-Myr-old starbursts with high ionizing-photon efficiency, and one example shows evidence that dusty outflows push dust beyond the stars and boost its UV brightness.

  2. Constraining supermassive primordial black hole clustering with the angular auto-correlation of $z\simeq 6$ quasars

    astro-ph.CO 2026-06 unverdicted novelty 4.0 of 10

    MCMC comparison of projected PBH correlation functions with z≈6 quasar angular auto-correlation data yields posterior constraints f_PBH∼10^{-3}, m_PBH∼10^{12}M_⊙ for Poisson models and ξ_eff≃2.1, r_cl≃76 Mpc for clust...

Reference graph

Works this paper leans on

177 extracted references · 4 canonical work pages · cited by 2 Pith papers

  1. [1]

    and ``O

    thebibliography [1] 20pt to REFERENCES 6pt =0pt 10pt plus 3pt =0pt =0pt =1pt plus 1pt =0pt =0pt -12pt =13pt plus 1pt =20pt =13pt plus 1pt \@M =10000 =-1.0em =0pt =0pt 0pt =0pt =1.0em @enumiv\@empty 10000 10000 `\.\@m \@noitemerr \@latex@warning Empty `thebibliography' environment \@ifnextchar \@reference \@latexerr Missing key on reference command Each re...

  2. [2]

    doi:10.1093/pasj/psx066

    Aihara, H., Arimoto, N., Armstrong, R., et al.\ 2018, , 70, S4. doi:10.1093/pasj/psx066

  3. [3]

    J.\ 2014, Astronomical Society of India Conference Series, 11, 7

    Burgasser, A. J.\ 2014, Astronomical Society of India Conference Series, 11, 7. doi:10.48550/arXiv.1406.4887

  4. [4]

    G., et al.\ 2000, , 4008, 623

    Cepa, J., Aguiar, M., Escalera, V. G., et al.\ 2000, , 4008, 623. doi:10.1117/12.395520

  5. [5]

    D., Wu, C.-C., & Weedman, D

    Coleman, G. D., Wu, C.-C., & Weedman, D. W.\ 1980, , 43, 393. doi:10.1086/190674

  6. [6]

    D., et al.\ 2025, arXiv:2505.03876

    Ding, X., Onoue, M., Silverman, J. D., et al.\ 2025, arXiv:2505.03876. doi:10.48550/arXiv.2505.03876

  7. [7]

    D., et al.\ 2023, , 621, 51

    Ding, X., Onoue, M., Silverman, J. D., et al.\ 2023, , 621, 51. doi:10.1038/s41586-023-06345-5

  8. [8]

    J., et al.\ 2019, , 631, A85

    Euclid Collaboration, Barnett, R., Warren, S. J., et al.\ 2019, , 631, A85. doi:10.1051/0004-6361/201936427

Show all 177 references
  1. [9]

    E., Labbe, I., Goulding, A

    Greene, J. E., Labbe, I., Goulding, A. D., et al.\ 2024, , 964, 39. doi:10.3847/1538-4357/ad1e5f

  2. [10]

    doi:10.3847/1538-4357/ad029e

    Harikane, Y., Zhang, Y., Nakajima, K., et al.\ 2023, , 959, 39. doi:10.3847/1538-4357/ad029e

  3. [11]

    doi:10.3847/1538-4357/ada27b

    Iwamoto, R., Matsuoka, Y., Imanishi, M., et al.\ 2025, , 979, 183. doi:10.3847/1538-4357/ada27b

  4. [12]

    doi:10.3847/1538-4357/abf6dc

    Izumi, T., Matsuoka, Y., Fujimoto, S., et al.\ 2021, , 914, 36. doi:10.3847/1538-4357/abf6dc

  5. [13]

    doi:10.3847/1538-4357/abd7ef

    Izumi, T., Onoue, M., Matsuoka, Y., et al.\ 2021, , 908, 235. doi:10.3847/1538-4357/abd7ef

  6. [14]

    doi:10.1093/pasj/psz096

    Izumi, T., Onoue, M., Matsuoka, Y., et al.\ 2019, , 71, 111. doi:10.1093/pasj/psz096

  7. [15]

    doi:10.1093/pasj/psy026

    Izumi, T., Onoue, M., Shirakata, H., et al.\ 2018, , 70, 36. doi:10.1093/pasj/psy026

  8. [16]

    doi:10.1093/pasj/54.6.819

    Kashikawa, N., Aoki, K., Asai, R., et al.\ 2002, , 54, 6, 819. doi:10.1093/pasj/54.6.819

  9. [17]

    doi:10.1093/pasj/psaa074

    Kato, N., Matsuoka, Y., Onoue, M., et al.\ 2020, , 72, 84. doi:10.1093/pasj/psaa074

  10. [18]

    D., Finkelstein, S

    Kocevski, D. D., Finkelstein, S. L., Barro, G., et al.\ 2025, , 986, 2, 126. doi:10.3847/1538-4357/adbc7d

  11. [19]

    D., Onoue, M., Inayoshi, K., et al.\ 2023, , 954, L4

    Kocevski, D. D., Onoue, M., Inayoshi, K., et al.\ 2023, , 954, L4. doi:10.3847/2041-8213/ace5a0

  12. [20]

    doi:10.3847/0004-637X/823/1/20

    Konno, A., Ouchi, M., Nakajima, K., et al.\ 2016, , 823, 1, 20. doi:10.3847/0004-637X/823/1/20

  13. [21]

    Matsuoka, Y., Iwasawa, K., Onoue, M., et al.\ 2018a, , 237, 5

  14. [22]

    doi:10.3847/1538-4357/ab3c60

    Matsuoka, Y., Iwasawa, K., Onoue, M., et al.\ 2019, , 883, 183. doi:10.3847/1538-4357/ab3c60

  15. [23]

    doi:10.3847/1538-4365/ac3d31

    Matsuoka, Y., Iwasawa, K., Onoue, M., et al.\ 2022, , 259, 18. doi:10.3847/1538-4365/ac3d31

  16. [24]

    doi:10.3847/2041-8213/ad35c7

    Matsuoka, Y., Izumi, T., Onoue, M., et al.\ 2024, , 965, L4. doi:10.3847/2041-8213/ad35c7

  17. [25]

    doi:10.1086/524193

    Matsuoka, Y., Kawara, K., & Oyabu, S.\ 2008, , 673, 62. doi:10.1086/524193

  18. [26]

    doi:10.48550/arXiv.2505.04825

    Matsuoka, Y., Onoue, M., Iwasawa, K., et al.\ 2025, , arXiv:2505.04825. doi:10.48550/arXiv.2505.04825

  19. [27]

    doi:10.3847/2041-8213/acd69f

    Matsuoka, Y., Onoue, M., Iwasawa, K., et al.\ 2023, , 949, L42. doi:10.3847/2041-8213/acd69f

  20. [28]

    Matsuoka, Y., Onoue, M., Kashikawa, N., et al.\ 2016, , 828, 26

  21. [29]

    Matsuoka, Y., Onoue, M., Kashikawa, N., et al.\ 2018b, , 70, S35

  22. [30]

    doi:10.3847/2041-8213/ab0216

    Matsuoka, Y., Onoue, M., Kashikawa, N., et al.\ 2019, , 872, L2. doi:10.3847/2041-8213/ab0216

  23. [31]

    doi:10.1086/518399

    Matsuoka, Y., Oyabu, S., Tsuzuki, Y., et al.\ 2007, , 663, 781. doi:10.1086/518399

  24. [32]

    A., Kashikawa, N., et al.\ 2018c, , 869, 150

    Matsuoka, Y., Strauss, M. A., Kashikawa, N., et al.\ 2018c, , 869, 150

  25. [33]

    P., Brammer, G., et al.\ 2024, , 963, 129

    Matthee, J., Naidu, R. P., Brammer, G., et al.\ 2024, , 963, 129. doi:10.3847/1538-4357/ad2345

  26. [34]

    doi:10.1093/pasj/psx063

    Miyazaki, S., Komiyama, Y., Kawanomoto, S., et al.\ 2018, , 70, S1. doi:10.1093/pasj/psx063

  27. [35]

    J., Patel, M., Warren, S

    Mortlock, D. J., Patel, M., Warren, S. J., et al.\ 2012, , 419, 1, 390. doi:10.1111/j.1365-2966.2011.19710.x

  28. [36]

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

  29. [37]

    D., et al.\ 2024, arXiv:2409.07113

    Onoue, M., Ding, X., Silverman, J. D., et al.\ 2024, arXiv:2409.07113. doi:10.48550/arXiv.2409.07113

  30. [38]

    doi:10.3847/2041-8213/aca9d3

    Onoue, M., Inayoshi, K., Ding, X., et al.\ 2023, , 942, L17. doi:10.3847/2041-8213/aca9d3

  31. [39]

    doi:10.3847/1538-4357/ab29e9

    Onoue, M., Kashikawa, N., Matsuoka, Y., et al.\ 2019, , 880, 77. doi:10.3847/1538-4357/ab29e9

  32. [40]

    doi:10.3847/1538-4357/ac0f07

    Onoue, M., Matsuoka, Y., Kashikawa, N., et al.\ 2021, , 919, 61. doi:10.3847/1538-4357/ac0f07

  33. [41]

    doi:10.1088/1538-3873/acb293

    Rigby, J., Perrin, M., McElwain, M., et al.\ 2023, , 135, 1046, 048001. doi:10.1088/1538-3873/acb293

  34. [42]

    doi:10.3847/1538-4357/ada943

    Sawamura, M., Izumi, T., Nakanishi, K., et al.\ 2025, , 980, 121. doi:10.3847/1538-4357/ada943

  35. [43]

    J., Finkbeiner, D

    Schlegel, D. J., Finkbeiner, D. P., & Davis, M.\ 1998, , 500, 2, 525. doi:10.1086/305772

  36. [44]

    J., Faherty, J

    Skrzypek, N., Warren, S. J., Faherty, J. K., et al.\ 2015, , 574, A78. doi:10.1051/0004-6361/201424570

  37. [45]

    doi:10.1093/mnras/sty782

    Sobral, D., Matthee, J., Darvish, B., et al.\ 2018, , 477, 2, 2817. doi:10.1093/mnras/sty782

  38. [46]

    doi:10.1051/0004-6361/202038756

    Spinoso, D., Orsi, A., L \'o pez-Sanjuan, C., et al.\ 2020, , 643, A149. doi:10.1051/0004-6361/202038756

  39. [47]

    doi:10.3847/1538-4357/ad045e

    Takahashi, A., Matsuoka, Y., Onoue, M., et al.\ 2024, , 960, 112. doi:10.3847/1538-4357/ad045e

  40. [48]

    doi:10.1088/0004-637X/750/2/137

    Toshikawa, J., Kashikawa, N., Ota, K., et al.\ 2012, , 750, 2, 137. doi:10.1088/0004-637X/750/2/137

  41. [49]

    doi:10.1093/pasj/psab122

    Aihara, H., AlSayyad, Y., Ando, M., et al.\ 2022, , 74, 247. doi:10.1093/pasj/psab122

  42. [50]

    B., Casey, C

    Akins, H. B., Casey, C. M., Berg, D. A., et al.\ 2025, , 980, 2, L29. doi:10.3847/2041-8213/adab76

  43. [51]

    B., Casey, C

    Akins, H. B., Casey, C. M., Lambrides, E., et al.\ 2024, arXiv:2406.10341. doi:10.48550/arXiv.2406.10341

  44. [52]

    A., Greene, J

    Alexandroff, R., Strauss, M. A., Greene, J. E., et al.\ 2013, , 435, 4, 3306. doi:10.1093/mnras/stt1500

  45. [53]

    T., Bogd \'a n, \'A ., Kov \'a cs, O

    Ananna, T. T., Bogd \'a n, \'A ., Kov \'a cs, O. E., et al.\ 2024, , 969, L18. doi:10.3847/2041-8213/ad5669

  46. [54]

    A., Phillips, M

    Baldwin, J. A., Phillips, M. M., & Terlevich, R.\ 1981, , 93, 5. doi:10.1086/130766

  47. [55]

    Baggen, J. F. W., van Dokkum, P., Brammer, G., et al.\ 2024, , 977, L13. doi:10.3847/2041-8213/ad90b8

  48. [56]

    G., Kocevski, D

    Barro, G., P \'e rez-Gonz \'a lez, P. G., Kocevski, D. D., et al.\ 2024, , 963, 128. doi:10.3847/1538-4357/ad167e

  49. [57]

    Boroson, T. A. & Green, R. F.\ 1992, , 80, 109. doi:10.1086/191661

  50. [58]

    D., Natarajan, P., et al.\ 2024, Nature Astronomy, 8, 126

    Bogd \'a n, \'A ., Goulding, A. D., Natarajan, P., et al.\ 2024, Nature Astronomy, 8, 126. doi:10.1038/s41550-023-02111-9

  51. [59]

    J., Oesch, P

    Bouwens, R. J., Oesch, P. A., Stefanon, M., et al.\ 2021, , 162, 47. doi:10.3847/1538-3881/abf83e

  52. [60]

    Bowler, R. A. A., Dunlop, J. S., McLure, R. J., et al.\ 2015, , 452, 1817. doi:10.1093/mnras/stv1403

  53. [61]

    J., Curtis-Lake, E., et al.\ 2024, , 535, 2, 1796

    Boyett, K., Bunker, A. J., Curtis-Lake, E., et al.\ 2024, , 535, 2, 1796. doi:10.1093/mnras/stae2430

  54. [62]

    C., et al.\ 2000, , 533, 682

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

  55. [63]

    doi:10.3847/2041-8213/ac94d0

    Castellano, M., Fontana, A., Treu, T., et al.\ 2022, , 938, L15. doi:10.3847/2041-8213/ac94d0

  56. [64]

    C., McLure, R

    Carnall, A. C., McLure, R. J., Dunlop, J. S., et al.\ 2023, , 619, 716. doi:10.1038/s41586-023-06158-6

  57. [65]

    doi:10.48550/arXiv.2409.20533

    Carniani, S., D'Eugenio, F., Ji, X., et al.\ 2024, arXiv:2409.20533. doi:10.48550/arXiv.2409.20533

  58. [66]

    doi:10.1038/s41586-024-07860-9

    Carniani, S., Hainline, K., D'Eugenio, F., et al.\ 2024, , 633, 318. doi:10.1038/s41586-024-07860-9

  59. [67]

    M., Akins, H

    Casey, C. M., Akins, H. B., Kokorev, V., et al.\ 2024, , 975, L4. doi:10.3847/2041-8213/ad7ba7

  60. [68]

    E., Sanders, R

    Clarke, L., Shapley, A. E., Sanders, R. L., et al.\ 2024, , 977, 133. doi:10.3847/1538-4357/ad8ba4

  61. [69]

    P., et al.\ 2017, , 545, 457

    Decarli, R., Walter, F., Venemans, B. P., et al.\ 2017, , 545, 457. doi:10.1038/nature22358

  62. [70]

    doi:10.3847/1538-4357/ab297f

    Decarli, R., Dotti, M., Ba \ n ados, E., et al.\ 2019, , 880, 157. doi:10.3847/1538-4357/ab297f

  63. [71]

    doi:10.1051/0004-6361/201936813

    Decarli, R., Mignoli, M., Gilli, R., et al.\ 2019, , 631, L10. doi:10.1051/0004-6361/201936813

  64. [72]

    doi:10.1051/0004-6361/202347755

    de Graaff, A., Rix, H.-W., Carniani, S., et al.\ 2024, , 684, A87. doi:10.1051/0004-6361/202347755

  65. [73]

    L., et al.\ 2013, , 763, 145

    Dom \' nguez, A., Siana, B., Henry, A. L., et al.\ 2013, , 763, 145. doi:10.1088/0004-637X/763/2/145

  66. [74]

    T., McLure, R

    Donnan, C. T., McLure, R. J., Dunlop, J. S., et al.\ 2024, , 533, 3222. doi:10.1093/mnras/stae2037

  67. [75]

    A.\ 2023, , 61, 373

    Fan, X., Ba \ n ados, E., & Simcoe, R. A.\ 2023, , 61, 373. doi:10.1146/annurev-astro-052920-102455

  68. [76]

    doi:10.1093/mnras/stv2794

    Feltre, A., Charlot, S., & Gutkin, J.\ 2016, , 456, 3354. doi:10.1093/mnras/stv2794

  69. [77]

    L., Bagley, M

    Finkelstein, S. L., Bagley, M. B., Ferguson, H. C., et al.\ 2023, , 946, L13. doi:10.3847/2041-8213/acade4

  70. [78]

    L., Ryan, R

    Finkelstein, S. L., Ryan, R. E., Papovich, C., et al.\ 2015, , 810, 71. doi:10.1088/0004-637X/810/1/71

  71. [79]

    R., Siana, B., Kriek, M., et al.\ 2019, , 873, 102

    Freeman, W. R., Siana, B., Kriek, M., et al.\ 2019, , 873, 102. doi:10.3847/1538-4357/ab0655

  72. [80]

    R., et al.\ 2024, , 977, 250

    Fujimoto, S., Wang, B., Weaver, J. R., et al.\ 2024, , 977, 250. doi:10.3847/1538-4357/ad9027

  73. [81]

    J., Labb \'e , I., Zitrin, A., et al.\ 2024, , 628, 57

    Furtak, L. J., Labb \'e , I., Zitrin, A., et al.\ 2024, , 628, 57. doi:10.1038/s41586-024-07184-8

  74. [82]

    doi:10.1088/0004-637X/733/2/101

    Genzel, R., Newman, S., Jones, T., et al.\ 2011, , 733, 101. doi:10.1088/0004-637X/733/2/101

  75. [83]

    E., Alexandroff, R., Strauss, M

    Greene, J. E., Alexandroff, R., Strauss, M. A., et al.\ 2014, , 788, 1, 91. doi:10.1088/0004-637X/788/1/91

  76. [84]

    Greene, J. E. & Ho, L. C.\ 2005, , 630, 122. doi:10.1086/431897

  77. [85]

    J., Duncan, K

    Gloudemans, A. J., Duncan, K. J., Eilers, A.-C., et al.\ 2025, arXiv:2501.04912. doi:10.48550/arXiv.2501.04912

  78. [86]

    D., Greene, J

    Goulding, A. D., Greene, J. E., Setton, D. J., et al.\ 2023, , 955, L24. doi:10.3847/2041-8213/acf7c5

  79. [87]

    doi:10.1093/mnras/stw1716

    Gutkin, J., Charlot, S., & Bruzual, G.\ 2016, , 462, 1757. doi:10.1093/mnras/stw1716

  80. [88]

    doi:10.3847/1538-4365/ac3dfc

    Harikane, Y., Ono, Y., Ouchi, M., et al.\ 2022, , 259, 20. doi:10.3847/1538-4365/ac3dfc

  81. [89]

    Heckman, T. M. & Best, P. N.\ 2014, , 52, 589. doi:10.1146/annurev-astro-081913-035722

  82. [90]

    doi:10.48550/arXiv.2412.03653

    Inayoshi, K., Kimura, S., & Noda, H.\ 2024, arXiv:2412.03653. doi:10.48550/arXiv.2412.03653

  83. [91]

    K., Yamanaka, S., Ouchi, M., et al.\ 2020, , 72, 101

    Inoue, A. K., Yamanaka, S., Ouchi, M., et al.\ 2020, , 72, 101. doi:10.1093/pasj/psaa100

  84. [92]

    doi:10.48550/arXiv.2505.04826

    Iwasawa, K., Gilli, R., Vito, F., et al.\ 2025, arXiv:2505.04826. doi:10.48550/arXiv.2505.04826

  85. [93]

    M., et al.\ 2024, , 636, 594

    Juod z balis, I., Maiolino, R., Baker, W. M., et al.\ 2024, , 636, 594. doi:10.1038/s41586-024-08210-5

  86. [94]

    M., et al.\ 2025, arXiv:2504.03551

    Juod z balis, I., Maiolino, R., Baker, W. M., et al.\ 2025, arXiv:2504.03551. doi:10.48550/arXiv.2504.03551

  87. [95]

    & Heckman, T

    Kauffmann, G. & Heckman, T. M.\ 2009, , 397, 135. doi:10.1111/j.1365-2966.2009.14960.x

  88. [96]

    M., Tremonti, C., et al.\ 2003, , 346, 1055

    Kauffmann, G., Heckman, T. M., Tremonti, C., et al.\ 2003, , 346, 1055. doi:10.1111/j.1365-2966.2003.07154.x

  89. [97]

    doi:10.1093/pasj/psy056

    Kawanomoto, S., Uraguchi, F., Komiyama, Y., et al.\ 2018, , 70, 66. doi:10.1093/pasj/psy056

  90. [98]

    C.\ 1998, , 36, 189

    Kennicutt, R. C.\ 1998, , 36, 189. doi:10.1146/annurev.astro.36.1.189

  91. [99]

    J., Dopita, M

    Kewley, L. J., Dopita, M. A., Sutherland, R. S., et al.\ 2001, , 556, 121. doi:10.1086/321545

  92. [100]

    doi:10.1051/0004-6361/202348857

    Killi, M., Watson, D., Brammer, G., et al.\ 2024, , 691, A52. doi:10.1051/0004-6361/202348857

  93. [101]

    doi:10.3847/2041-8213/ad037a

    Kokorev, V., Fujimoto, S., Labbe, I., et al.\ 2023, , 957, L7. doi:10.3847/2041-8213/ad037a

  94. [102]

    & Harikane, Y.\ 2024, arXiv:2407.04777

    Kokubo, M. & Harikane, Y.\ 2024, arXiv:2407.04777. doi:10.48550/arXiv.2407.04777

  95. [103]

    doi:10.1093/pasj/psx131

    Konno, A., Ouchi, M., Shibuya, T., et al.\ 2018, , 70, S16. doi:10.1093/pasj/psx131

  96. [104]

    Korista, K. T. & Goad, M. R.\ 2004, , 606, 749. doi:10.1086/383193

  97. [105]

    R., Shapley, A

    Kulas, K. R., Shapley, A. E., Kollmeier, J. A., et al.\ 2012, , 745, 33. doi:10.1088/0004-637X/745/1/33

  98. [106]

    doi:10.1038/s41586-023-05786-2

    Labb \'e , I., van Dokkum, P., Nelson, E., et al.\ 2023, , 616, 266. doi:10.1038/s41586-023-05786-2

  99. [107]

    E., Bezanson, R., et al.\ 2025, , 978, 92

    Labbe, I., Greene, J. E., Bezanson, R., et al.\ 2025, , 978, 92. doi:10.3847/1538-4357/ad3551

  100. [108]

    E., Matthee, J., et al.\ 2024, arXiv:2412.04557

    Labbe, I., Greene, J. E., Matthee, J., et al.\ 2024, arXiv:2412.04557. doi:10.48550/arXiv.2412.04557

  101. [109]

    L., Finkelstein, S

    Larson, R. L., Finkelstein, S. L., Kocevski, D. D., et al.\ 2023, , 953, L29. doi:10.3847/2041-8213/ace619

  102. [110]

    R.\ 2007, , 377, L74

    Liddle, A. R.\ 2007, , 377, L74. doi:10.1111/j.1745-3933.2007.00306.x

  103. [111]

    doi:10.48550/arXiv.2504.08039

    Lin, X., Fan, X., Wang, F., et al.\ 2025, arXiv:2504.08039. doi:10.48550/arXiv.2504.08039

  104. [112]

    doi:10.3847/1538-4357/ad6565

    Lin, X., Wang, F., Fan, X., et al.\ 2024, , 974, 147. doi:10.3847/1538-4357/ad6565

  105. [113]

    doi:10.1051/0004-6361/202449904

    Llerena, M., Amor \' n, R., Pentericci, L., et al.\ 2024, , 691, A59. doi:10.1051/0004-6361/202449904

  106. [114]

    H., Stone, M., et al.\ 2024, arXiv:2412.04548

    Lyu, J., Rieke, G. H., Stone, M., et al.\ 2024, arXiv:2412.04548. doi:10.48550/arXiv.2412.04548

  107. [115]

    E., Setton, D

    Ma, Y., Greene, J. E., Setton, D. J., et al.\ 2025, , 981, 191. doi:10.3847/1538-4357/ada613

  108. [116]

    E., Setton, D

    Ma, Y., Greene, J. E., Setton, D. J., et al.\ 2025, arXiv:2504.08032. doi:10.48550/arXiv.2504.08032

  109. [117]

    doi:10.48550/arXiv.2405.00504

    Maiolino, R., Risaliti, G., Signorini, M., et al.\ 2024, arXiv:2405.00504. doi:10.48550/arXiv.2405.00504

  110. [118]

    doi:10.1051/0004-6361/202347640

    Maiolino, R., Scholtz, J., Curtis-Lake, E., et al.\ 2024, , 691, A145. doi:10.1051/0004-6361/202347640

  111. [119]

    doi:10.1051/0004-6361/201833528

    Matthee, J., Sobral, D., Gronke, M., et al.\ 2018, , 619, A136. doi:10.1051/0004-6361/201833528

  112. [120]

    doi:10.48550/arXiv.2412.04224

    Mazzolari, G., Gilli, R., Maiolino, R., et al.\ 2024, arXiv:2412.04224. doi:10.48550/arXiv.2412.04224

  113. [121]

    doi:10.48550/arXiv.2408.15615

    Mazzolari, G., Scholtz, J., Maiolino, R., et al.\ 2024, arXiv:2408.15615. doi:10.48550/arXiv.2408.15615

  114. [122]

    doi:10.1051/0004-6361/202450407

    Mazzolari, G., \"U bler, H., Maiolino, R., et al.\ 2024, , 691, A345. doi:10.1051/0004-6361/202450407

  115. [123]

    doi:10.1051/0004-6361/202450708

    Moya-Sierralta, C., Gonz \'a lez-L \'o pez, J., Infante, L., et al.\ 2024, , 692, A98. doi:10.1051/0004-6361/202450708

  116. [124]

    P., Matthee, J., Katz, H., et al.\ 2025, arXiv:2503.16596

    Naidu, R. P., Matthee, J., Katz, H., et al.\ 2025, arXiv:2503.16596. doi:10.48550/arXiv.2503.16596

  117. [125]

    P., Oesch, P

    Naidu, R. P., Oesch, P. A., Brammer, G., et al.\ 2025, arXiv:2505.11263

  118. [126]

    & Maiolino, R.\ 2022, , 513, 5134

    Nakajima, K. & Maiolino, R.\ 2022, , 513, 5134. doi:10.1093/mnras/stac1242

  119. [127]

    F., Genzel, R., F \"o rster-Schreiber, N

    Newman, S. F., Genzel, R., F \"o rster-Schreiber, N. M., et al.\ 2012, , 761, 43. doi:10.1088/0004-637X/761/1/43

  120. [128]

    Osterbrock, D. E. & Ferland, G. J.\ 2006, , Astrophysics of gaseous nebulae and active galactic nuclei

  121. [129]

    Osterbrock, D. E. & Pogge, R. W.\ 1985, , 297, 166. doi:10.1086/163513

  122. [130]

    doi:10.1093/pasj/psx074

    Ouchi, M., Harikane, Y., Shibuya, T., et al.\ 2018, , 70, S13. doi:10.1093/pasj/psx074

  123. [131]

    & Narayan, R.\ 2024, , 976, 96

    Pacucci, F. & Narayan, R.\ 2024, , 976, 96. doi:10.3847/1538-4357/ad84f7

  124. [132]

    doi:10.1051/0004-6361/202452422

    Perger, K., Fogasy, J., Frey, S., et al.\ 2025, , 693, L2. doi:10.1051/0004-6361/202452422

  125. [133]

    C.\ 1992, , 395, 130

    Pei, Y. C.\ 1992, , 395, 130. doi:10.1086/171637

  126. [134]

    S., & Kotilainen, J.\ 2020, , 249, 17

    Rakshit, S., Stalin, C. S., & Kotilainen, J.\ 2020, , 249, 17. doi:10.3847/1538-4365/ab99c5

  127. [135]

    E., Greene, J

    Reines, A. E., Greene, J. E., & Geha, M.\ 2013, , 775, 116. doi:10.1088/0004-637X/775/2/116

  128. [136]

    D., Tacchella, S., et al.\ 2024, , 970, 31

    Robertson, B., Johnson, B. D., Tacchella, S., et al.\ 2024, , 970, 31. doi:10.3847/1538-4357/ad463d

  129. [137]

    doi:10.48550/arXiv.2311.18731

    Scholtz, J., Maiolino, R., D'Eugenio, F., et al.\ 2023, arXiv:2311.18731. doi:10.48550/arXiv.2311.18731

  130. [138]

    F., Davies, F

    Schindler, J.-T., Hennawi, J. F., Davies, F. B., et al.\ 2024, arXiv:2411.11534. doi:10.48550/arXiv.2411.11534

  131. [139]

    Selsing, J., Fynbo, J. P. U., Christensen, L., et al.\ 2016, , 585, A87. doi:10.1051/0004-6361/201527096

  132. [140]

    J., Greene, J

    Setton, D. J., Greene, J. E., de Graaff, A., et al.\ 2024, arXiv:2411.03424. doi:10.48550/arXiv.2411.03424

  133. [141]

    J., Greene, J

    Setton, D. J., Greene, J. E., Spilker, J. S., et al.\ 2025, arXiv:2503.02059. doi:10.48550/arXiv.2503.02059

  134. [142]

    L., Genzel, R., Quataert, E., et al.\ 2009, , 701, 955

    Shapiro, K. L., Genzel, R., Quataert, E., et al.\ 2009, , 701, 955. doi:10.1088/0004-637X/701/2/955

  135. [143]

    F., Faucher-Gigu \`e re, C.-A., et al.\ 2020, , 495, 3252

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

  136. [144]

    T., Strauss, M

    Shen, Y., Richards, G. T., Strauss, M. A., et al.\ 2011, , 194, 45. doi:10.1088/0067-0049/194/2/45

  137. [145]

    doi:10.3847/1538-4357/ab03d9

    Shen, Y., Wu, J., Jiang, L., et al.\ 2019, , 873, 1, 35. doi:10.3847/1538-4357/ab03d9

  138. [146]

    doi:10.1093/pasj/psx122

    Shibuya, T., Ouchi, M., Konno, A., et al.\ 2018, , 70, S14. doi:10.1093/pasj/psx122

  139. [147]

    M., Barger, A

    Songaila, A., Hu, E. M., Barger, A. J., et al.\ 2018, , 859, 91. doi:10.3847/1538-4357/aac021

  140. [148]

    doi:10.1093/mnras/stae1970

    Stepney, M., Banerji, M., Tang, S., et al.\ 2024, , 533, 3, 2948. doi:10.1093/mnras/stae1970

  141. [149]

    & Laor, A.\ 2012, , 423, 1, 600

    Stern, J. & Laor, A.\ 2012, , 423, 1, 600. doi:10.1111/j.1365-2966.2012.20901.x

  142. [150]

    A., Lyu, J., Rieke, G

    Stone, M. A., Lyu, J., Rieke, G. H., et al.\ 2024, , 964, 90. doi:10.3847/1538-4357/ad2a57

  143. [151]

    Storey, P. J. & Zeippen, C. J.\ 2000, , 312, 4, 813. doi:10.1046/j.1365-8711.2000.03184.x

  144. [152]

    M., Harrison, C

    Swinbank, A. M., Harrison, C. M., Tiley, A. L., et al.\ 2019, , 487, 381. doi:10.1093/mnras/stz1275

  145. [153]

    J., Cowie, L

    Taylor, A. J., Cowie, L. L., Barger, A. J., et al.\ 2021, , 914, 79. doi:10.3847/1538-4357/abfc4b

  146. [154]

    J., Finkelstein, S

    Taylor, A. J., Finkelstein, S. L., Kocevski, D. D., et al.\ 2024, arXiv:2409.06772. doi:10.48550/arXiv.2409.06772

  147. [155]

    J., Kokorev, V., Kocevski, D

    Taylor, A. J., Kokorev, V., Kocevski, D. D., et al.\ 2025, arXiv:2505.04609. doi:10.48550/arXiv.2505.04609

  148. [156]

    L., Fan, X., Wang, F., et al.\ 2024, arXiv:2412.05242

    Tee, W. L., Fan, X., Wang, F., et al.\ 2024, arXiv:2412.05242. doi:10.48550/arXiv.2412.05242

  149. [157]

    doi:10.3847/1538-4357/abe94a

    Toba, Y., Ueda, Y., Gandhi, P., et al.\ 2021, , 912, 2, 91. doi:10.3847/1538-4357/abe94a

  150. [158]

    doi:10.48550/arXiv.2412.04983

    Tripodi, R., Martis, N., Markov, V., et al.\ 2024, arXiv:2412.04983. doi:10.48550/arXiv.2412.04983

  151. [159]

    Tsuzuki, Y., Kawara, K., Yoshii, Y., et al.\ 2006, , Fe II Emission in 14 Low-Redshift Quasars. I. Observations, 650, 1, 57. doi:10.1086/506376

  152. [160]

    doi:10.1051/0004-6361/202346137

    \"U bler, H., Maiolino, R., Curtis-Lake, E., et al.\ 2023, , 677, A145. doi:10.1051/0004-6361/202346137

  153. [161]

    doi:10.48550/arXiv.2411.15495

    Umeda, H., Ouchi, M., Kikuta, S., et al.\ 2024, arXiv:2411.15495. doi:10.48550/arXiv.2411.15495

  154. [162]

    E., Richards, G

    Vanden Berk, D. E., Richards, G. T., Bauer, A., et al.\ 2001, , 122, 549. doi:10.1086/321167

  155. [163]

    doi:10.1051/0004-6361:200809648

    Verhamme, A., Schaerer, D., Atek, H., et al.\ 2008, , 491, 89. doi:10.1051/0004-6361:200809648

  156. [164]

    doi:10.1051/0004-6361:20065554

    Verhamme, A., Schaerer, D., & Maselli, A.\ 2006, , 460, 397. doi:10.1051/0004-6361:20065554

  157. [165]

    doi:10.1051/0004-6361:20035714

    V \'e ron-Cetty, M.-P., Joly, M., & V \'e ron, P.\ 2004, , The unusual emission line spectrum of I Zw 1, 417, 515. doi:10.1051/0004-6361:20035714

  158. [166]

    & Peterson, B

    Vestergaard, M. & Peterson, B. M.\ 2006, , 641, 689. doi:10.1086/500572

  159. [167]

    L., et al.\ 2024, arXiv:2403.02304

    Wang, B., de Graaff, A., Davies, R. L., et al.\ 2024, arXiv:2403.02304. doi:10.48550/arXiv.2403.02304

  160. [168]

    doi:10.3847/2041-8213/ad55f7

    Wang, B., Leja, J., de Graaff, A., et al.\ 2024, , 969, L13. doi:10.3847/2041-8213/ad55f7

  161. [169]

    C., Alberts, S., Ji, Z., et al.\ 2024, , 968, 34

    Williams, C. C., Alberts, S., Ji, Z., et al.\ 2024, , 968, 34. doi:10.3847/1538-4357/ad3f17

  162. [170]

    doi:10.1038/nature14241

    Wu, X.-B., Wang, F., Fan, X., et al.\ 2015, , 518, 512. doi:10.1038/nature14241

  163. [171]

    J., Albert, L., Arzoumanian, D., et al.\ 2010, , 140, 2, 546

    Willott, C. J., Albert, L., Arzoumanian, D., et al.\ 2010, , 140, 2, 546. doi:10.1088/0004-6256/140/2/546

  164. [172]

    doi:10.3847/1538-4357/ac2b32

    Yang, J., Wang, F., Fan, X., et al.\ 2021, , 923, 262. doi:10.3847/1538-4357/ac2b32

  165. [173]

    doi:10.3847/2041-8213/acc9c8

    Yang, J., Wang, F., Fan, X., et al.\ 2023, , 951, 1, L5. doi:10.3847/2041-8213/acc9c8

  166. [174]

    G., Adelman, J., Anderson, J

    York, D. G., Adelman, J., Anderson, J. E., et al.\ 2000, , The Sloan Digital Sky Survey: Technical Summary, 120, 3, 1579. doi:10.1086/301513

  167. [175]

    T., et al.\ 2024, , 974, L26

    Yue, M., Eilers, A.-C., Ananna, T. T., et al.\ 2024, , 974, L26. doi:10.3847/2041-8213/ad7eba

  168. [176]

    L., Hamann, F., P \^a ris, I., et al.\ 2016, , 459, 3144

    Zakamska, N. L., Hamann, F., P \^a ris, I., et al.\ 2016, , 459, 3144. doi:10.1093/mnras/stw718

  169. [177]

    doi:10.1086/504869

    Zhou, H., Wang, T., Yuan, W., et al.\ 2006, , 166, 128. doi:10.1086/504869

Pith tools

Reviewed August 5, 2026 · model on record in the stance chip above.