REVIEW 3 major objections 6 minor 79 references
Changing-Look AGNs from DESI. VI. Host Galaxies
T0 review · 3 major / 6 minor · reviewed 2026-08-03 · deepseek-v4-flash
Pith's one-line read Changing-look AGNs are not a distinct host-galaxy population; the trigger is likely a change in the black hole's accretion rate.
desk verdict Largest matched CL AGN host-galaxy study to date; the central result is defensible, but the two-epoch decomposition's untested shared-stellar-population assumption is the main unresolved risk. read the letter →
The pith
A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.
The reading
What carries the argument
The key mechanism is a two-epoch spectrophotometric decomposition that ties the two spectra to a single shared host stellar population. The model expresses each epoch's flux as an independent AGN component plus the same intrinsic stellar population mapped into the different fiber apertures. Deep multi-band imaging provides an independent constraint on the host flux in each aperture, and an imaging-derived 'additional host spectrum' accounts for the aperture difference. The stellar population parameters (mass, star formation history, dust) are fit jointly across epochs, so the fainter state anchors the host while the brighter state constrains the AGN. The paper also constructs a matched compa
What would settle it
Spatially resolved integral-field spectroscopy of these CL AGN hosts: if the derived stellar mass, sSFR, or Hδ strength depends on the assumed aperture scaling, or if strong radial age/metallicity gradients are present, the tied-host assumption fails and the population-level conclusions would need revision.
Extended reading notes
Core claim
At the population level, changing-look AGNs with measurable extended host emission do not occupy a distinct host galaxy population from similarly selected extended quasars. Among 105 two-epoch objects (SDSS and DESI spectra plus deep HSC imaging), 75.2% of hosts are quiescent and 29.5% post-starburst. Matched one-to-one against 82 extended quasars at the same redshift and stellar mass, CL hosts show consistent log sSFR (−12.87 vs −12.62), consistent Hδ_A (2.54 vs 1.36 Å; CI [−0.59,+2.94]), and a consistent quiescent fraction (81.7% vs 70.7%, p=0.108). The post-starburst fraction is higher (35.4% vs 18.3%, p=0.020). [O III] and [O II] remain stable over rest-frame baselines up to 18 yr while
Load-bearing premise
The load-bearing premise is that one shared stellar population model can describe the host galaxy at both epochs and in both fiber apertures; if the host has strong radial age or metallicity gradients, or if the imaging-based aperture correction is off, the tied host fit can absorb AGN residuals and bias the derived stellar mass, star formation rate, and Hδ strength.
Editorial extensions
If this is right
- If CL AGN hosts are statistically identical to quasar hosts, the changing-look phenomenon is decoupled from galaxy-scale properties, and CL selection is nearly random with respect to host star formation history.
- The stable narrow lines imply the narrow-line region extends beyond a few parsecs in these objects, giving a population-level size constraint from variability alone.
- The higher post-starburst fraction, if confirmed, suggests a mild association between recent quenching and CL activity, but not a synchronized event.
- The positive broad-line/continuum correlation supports a stratified BLR where inner lines respond before outer lines, consistent with an accretion-rate-change origin.
Reading between the lines
- If CL transitions are purely accretion-rate driven, then any quasar could in principle undergo a changing-look event; the observed CL fraction would be set by survey cadence and sensitivity rather than by a special host property, a prediction testable in unbiased samples.
- The modest post-starburst excess might be a selection effect: post-starburst hosts have a bright young stellar continuum that makes the AGN easier to detect in the faint state, artificially boosting their representation among CL AGNs found by spectral comparison.
- The narrow-line stability could be turned into an echo-mapping tool: a delayed [O III] response to a known CL transition would directly measure the NLR radius on decade timescales.
- A next step is comparing CL AGN hosts to inactive galaxies of the same stellar mass and redshift, not just to quasars, to see whether the apparent consistency with quasars is shared by the general galaxy population.
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. The paper presents a host-galaxy study of 105 changing-look (CL) AGNs identified from DESI/SDSS spectral comparisons. A two-epoch spectrophotometric decomposition model (Eq. 1) is used, tying the host stellar population parameters across the DESI and SDSS epochs while allowing the AGN component to vary, with HSC imaging providing external host-flux constraints. The authors report that the CL AGN hosts are predominantly quiescent (75.2%) and that 29.5% show post-starburst signatures. For 82 CL AGNs with extended host emission, matched one-to-one to extended quasars from the same pipeline in redshift and stellar mass, they find no clear offset in log sSFR or Hδ_A and no significant difference in quiescent fraction, but a higher post-starburst fraction (35.4% vs 18.3%, p=0.020). The [O III] and [O II] narrow lines show no population-wide response over rest-frame baselines of 2.4–18.4 yr. The paper interprets the combined host, broad-line, and narrow-line evidence as favoring changes in the central accretion rate or inner disk structure as the main origin of CL transitions.
Significance. If the host-galaxy measurements are reliable, this is a valuable population-level result: CL AGNs with measurable extended host emission do not appear to form a distinct host population from similarly selected extended quasars, strengthening the interpretation that the CL phenomenon is primarily nuclear rather than driven by galaxy-scale transformations. The study has notable strengths: the CL sample and comparison quasars are analyzed with the same pipeline, reducing methodology-induced differences; HSC imaging provides external constraints on the host flux; the two-epoch design uses the stellar population invariance as a physical consistency check; and the paper includes an explicit, honest limitations section. The broad-line/continuum correlations and narrow-line stability provide independent evidence consistent with the central interpretation. However, the central claim rests on an untested modeling assumption—the shared stellar population across epochs with only an SED-scaled aperture correction—and on statistical comparisons that omit individual measurement uncertainties and multiple-testing corrections. These issues are addressable and do not require abandoning the main conc
major comments (3)
- [§3.1, Eq. (1)] The tied stellar-population assumption is load-bearing but untested. In Eq. (1), a single θ⋆ is mapped into the two fiber apertures via T^i, with the SDSS–DESI aperture difference represented by an additional host spectrum fit with the same SED model. If the host has radial age or metallicity gradients, the extra light entering the larger SDSS fiber is not drawn from the same SED, and the tied fit may compensate by adjusting the AGN residual or averaging the two host spectra, biasing M⋆, sSFR, and Hδ_A. The internal checks in §5.5 use only two nearly host-dominated objects and mock tests from Sun et al. (2026) that do not inject radial gradients; §5.7 does not list this limitation. A concrete test is needed—for example, injecting radially varying stellar population models into mock HSC+spectral data and recovering them with this pipeline, or comparing a subset with IFU stellar-population
- [Table 2, §4.2] The post-starburst excess (35.4% vs 18.3%, p=0.020) is one of four primary comparisons in Table 2, and the paper performs additional morphology, state, and disturbance tests elsewhere without multiplicity control. With a Bonferroni correction for the four Table 2 outcomes (α=0.0125), p=0.020 is not significant. The abstract and summary state that post-starburst hosts are "more common" among CL AGNs, which overstates the evidence. Please report the number of tests, provide corrected p-values, or explicitly label p=0.020 as suggestive only.
- [§3.5, §5.2] The reported bootstrap 95% CIs and McNemar p-values are computed from pairs without propagating the measurement uncertainties of the individual decomposition quantities. The paper acknowledges this for the intervals ("The quoted intervals describe sampling uncertainty"), but the same omission affects the classification fractions and the p=0.020 result; host-measurement scatter can move objects across the quiescent and post-starburst boundaries. Additionally, §5.2 excludes ID 177 and ID 497 from the [O III] population statistics after visual inspection of "poor local spectral quality"; this post hoc exclusion should be justified with quantitative S/N or line-fit quality cuts, and the population statistics should be shown with these objects included or with a robust estimator.
minor comments (6)
- [General] There are formatting typos: "T able 1" in the text, "GalfitMusing" in §2.2, and mismatched math-mode/regular text for [O II] and [O III] in several places. These should be corrected.
- [§3.5] The transition from 83 extended CL AGNs with at least one candidate comparison to 82 matched pairs is stated, but the reason the last object is dropped is not explained. Clarify whether the 83rd has no unique partner after the without-replacement matching.
- [§4.3] The simple scaling of the star-forming fraction by the cosmic SFR-density ratio (1.48) assumes the star-forming fraction scales linearly with the cosmic SFR density. This is a rough heuristic; state that it is not a quantitative evolutionary correction.
- [Figure 6] Panel (b) would benefit from explicitly marking the matched-pair status of the post-starburst excess, e.g., by annotating the McNemar p-value on the figure, since the p=0.020 result is a headline number in the abstract.
- [§5.1] The text says PS16dtm is "not included in our final host decomposition sample" because it is PSF-dominated, but the object appears in the earlier sample counts (§2.1 lists 137 HSC-matched objects). Clarify that the light-curve atlas includes all 137 objects while the host property sample is 105.
- [§5.2] The statement that "the robust result is the absence of a population-wide [O III] or [O II] response" is stronger than the evidence because the two largest [O III] changes are excluded and the remaining distribution has a median absolute deviation of only 0.087 dex. Consider rephrasing to "no population-wide response is detected within the limitations of the current spectra."
Circularity Check
No significant circularity: the host-galaxy measurements and matched-quasar comparison are independent of the conclusions they support, despite author overlap in the parent sample and comparison pipeline.
full rationale
The paper's central derivation is the two-epoch decomposition (Eq. 1), where the observed flux is modeled as an epoch-dependent AGN component plus an epoch-independent host stellar population. This is a modeling assumption, not a quantity derived from the result it supports. The key comparison (Table 2) is between 82 CL AGNs and 82 extended quasars drawn from the prior S. Sun et al. (2026) catalog; that sample is external data analyzed with a consistent pipeline, so the comparison is not constructed from the CL sample itself. Self-citations to Guo et al. (2024, 2025a,b) and Sun et al. (2026) are used for sample selection, line-response priors, and method details, but the paper also presents independent internal checks: stable [O III]/[O II] over multi-year baselines, correlated broad-line/continuum changes from its own fits, and host-dominated faint states. The tied stellar-population assumption (theta_star shared across epochs) could bias M_star, sSFR, and Hδ_A if radial stellar-population gradients exist, but this is an unverified systematic risk acknowledged as a limitation in §5.7 rather than a circular reduction. No equation reduces to a fitted value, and no conclusion is forced by a self-citation chain.
Assumptions & free parameters
free parameters (3)
- Quiescence threshold in log sSFR =
-10.94 yr^-1
- Post-starburst Hδ A threshold =
4 Å
- Morphology extended/compact threshold =
R_e,i/R50,PSF,i > 1
assumptions (6)
- standard math Flat ΛCDM cosmology with H0=70, Ωm=0.3, ΩΛ=0.7
- domain assumption The host stellar population is unchanged between SDSS and DESI epochs and is shared through θ⋆ (Eq. 1)
- domain assumption The AGN continuum/line model (broken power law, Fe II templates, Balmer continuum) accurately represents the nuclear component after host subtraction
- domain assumption HSC PSF+Sersic decomposition correctly separates nuclear and host light, and the single-Sersic host profile is adequate
- domain assumption Bagpipes nonparametric SFH with 14 bins and Student-t prior returns unbiased M* and sSFR
- domain assumption NLR [O III]/[O II] emitting gas is extended and does not respond on multi-year baselines; recombination times can be short
Cite this review
Pith. "Pith review of Changing-Look AGNs from DESI. VI. Host Galaxies." pith.science (2026). https://pith.science/paper/V4DLC3EG
@misc{pith2026260728735,
author = {Pith},
title = {Pith review of: Changing-Look AGNs from DESI. VI. Host Galaxies},
year = {2026},
howpublished = {\url{https://pith.science/paper/V4DLC3EG}},
note = {Machine review of arXiv:2607.28735}
}
abstract
Changing-look (CL) AGNs trace rapid changes in nuclear activity, but their connection to host galaxy properties remains unclear. We present a study of the host galaxies of 105 CL AGNs previously selected by comparing DESI and SDSS data. We apply a two-epoch spectrophotometric decomposition to the DESI and SDSS spectra of the 105 objects. Meanwhile, HSC images are used to constrain their varying AGN components and non-varying stellar population components. We find that 79 of the 105 (75.2%) CL AGN hosts are quiescent galaxies, and 31/105 (29.5%) also show post-starburst signatures. We focus on 82 CL AGNs with extended host emission in the HSC images and compare them with extended quasars at similar redshift and stellar mass. Their star formation activity, Balmer absorption, and quiescent fractions are broadly consistent with those of the comparison quasars, although post-starburst hosts are more common among the CL AGNs. Our CL AGNs with extended host emission are more often quiescent than those with compact morphology, but this difference is not apparent after matching in redshift and stellar mass. The $\mathrm{O\, \small II}$ and $\mathrm{O\, \small III}$ narrow lines show no population-wide response to the continuum and broad line changes, consistent with the slower response expected from the narrow line region. Together, these results favor changes in the central supermassive black hole accretion rate as the main origin of the CL transitions.
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Reference graph
Works this paper leans on
-
[1]
2020, ApJS, 249, 3, doi: 10.3847/1538-4365/ab929e
Ahumada, R., Allende Prieto, C., Almeida, A., et al. 2020, ApJS, 249, 3, doi: 10.3847/1538-4365/ab929e
-
[2]
2022, PASJ, 74, 247, doi: 10.1093/pasj/psab122
Aihara, H., AlSayyad, Y., Ando, M., et al. 2022, PASJ, 74, 247, doi: 10.1093/pasj/psab122
-
[3]
Akeson, R., Dubois-Felsmann, G. P., Crill, B. P., et al. 2025, arXiv e-prints, arXiv:2511.15823, doi: 10.48550/arXiv.2511.15823 Astropy Collaboration, Price-Whelan, A. M., Lim, P. L., et al. 2022, ApJ, 935, 167, doi: 10.3847/1538-4357/ac7c74 Astropy Collaboration, Robitaille, T. P., Tollerud, E. J., et al. 2013, A&A, 558, A33, doi: 10.1051/0004-6361/201322068
-
[4]
2026, arXiv e-prints, arXiv:2604.27783
Aydar, C., Merloni, A., Zeltyn, G., et al. 2026, arXiv e-prints, arXiv:2604.27783. https://arxiv.org/abs/2604.27783
arXiv 2026
-
[5]
Baldwin, J. A., Phillips, M. M., & Terlevich, R. 1981, PASP, 93, 5, doi: 10.1086/130766
doi:10.1086/130766 1981
-
[6]
2005, MNRAS, 358, 1043, doi: 10.1111/j.1365-2966.2005.08841.x
Baskin, A., & Laor, A. 2005, MNRAS, 358, 1043, doi: 10.1111/j.1365-2966.2005.08841.x
arXiv 2005
-
[7]
Bentz, M. C., Denney, K. D., Grier, C. J., et al. 2013, ApJ, 767, 149, doi: 10.1088/0004-637X/767/2/149
-
[8]
1987, A&A, 177, 11
Binette, L., & Robinson, A. 1987, A&A, 177, 11
1987
Show all 79 references
-
[9]
K., Nicholl, M., Berger, E., et al
Blanchard, P. K., Nicholl, M., Berger, E., et al. 2017, The Astrophysical Journal, 843, 106, doi: 10.3847/1538-4357/aa77f7
2017 doi
-
[10]
J., Aboobaker, A
Bock, J. J., Aboobaker, A. M., Adamo, J., et al. 2026, ApJ, 999, 139, doi: 10.3847/1538-4357/ae2be2
2026 doi
- [11]
-
[12]
2018, PASJ, 70, S5, doi: 10.1093/pasj/psx080
Bosch, J., Armstrong, R., Bickerton, S., et al. 2018, PASJ, 70, S5, doi: 10.1093/pasj/psx080
2018 doi
-
[13]
2019, in Astronomical Society of the Pacific Conference Series, Vol
Bosch, J., AlSayyad, Y., Armstrong, R., et al. 2019, in Astronomical Society of the Pacific Conference Series, Vol. 523, Astronomical Data Analysis Software and Systems XXVII, ed. P. J. Teuben, M. W. Pound, B. A. Thomas, & E. M. Warner, 521, doi: 10.48550/arXiv.1812.03248
-
[14]
C., McLure, R
Carnall, A. C., McLure, R. J., Dunlop, J. S., & Dav´ e, R. 2018, Monthly Notices of the Royal Astronomical Society, 480, 4379, doi: 10.1093/mnras/sty2169 19
2018 doi
- [15]
-
[16]
2025, ApJ, 988, 204, doi: 10.3847/1538-4357/ade307 Cid Fernandes, R., Stasi´ nska, G., Schlickmann, M
Chen, J., Jiang, L., Sun, S., Zhang, Z., & Sun, M. 2025, ApJ, 988, 204, doi: 10.3847/1538-4357/ade307 Cid Fernandes, R., Stasi´ nska, G., Schlickmann, M. S., et al. 2010, MNRAS, 403, 1036, doi: 10.1111/j.1365-2966.2009.16185.x
2025
-
[17]
J., & Pearson, E
Clopper, C. J., & Pearson, E. S. 1934, Biometrika, 26, 404, doi: 10.1093/biomet/26.4.404 DESI Collaboration, Aghamousa, A., Aguilar, J., et al. 2016a, arXiv e-prints, arXiv:1611.00036. https://arxiv.org/abs/1611.00036 DESI Collaboration, Aghamousa, A., Aguilar, J., et al. 2016...
1934 arXiv
-
[18]
Ramirez-Ruiz, E., & Foley, R. J. 2021, ApJL, 907, L21, doi: 10.3847/2041-8213/abd852
2021 doi
-
[19]
J., Djorgovski, S
Drake, A. J., Djorgovski, S. G., Mahabal, A., et al. 2009, ApJ, 696, 870, doi: 10.1088/0004-637X/696/1/870
2009 doi
-
[20]
A., Magnier, E
Flewelling, H. A., Magnier, E. A., Chambers, K. C., et al. 2020, ApJS, 251, 7, doi: 10.3847/1538-4365/abb82d
2020 doi
-
[21]
1986, ApJ, 303, 336, doi: 10.1086/164079
Gehrels, N. 1986, ApJ, 303, 336, doi: 10.1086/164079
1986 doi
-
[22]
Goodrich, R. W. 1995, ApJ, 440, 141, doi: 10.1086/175256
1995 doi
- [23]
-
[24]
2018,, Astrophysics Source Code Library http://ascl.net/1809.008
Guo, H., Shen, Y., & Wang, S. 2018,, Astrophysics Source Code Library http://ascl.net/1809.008
2018
-
[25]
A., et al
Guo, W.-J., Zou, H., Fawcett, V. A., et al. 2024, ApJS, 270, 26, doi: 10.3847/1538-4365/ad118a
2024 doi
-
[26]
L., et al
Guo, W.-J., Zou, H., Greenwell, C. L., et al. 2025a, ApJS, 278, 28, doi: 10.3847/1538-4365/adc124
-
[27]
A., Siudek, M., et al
Guo, W.-J., Fawcett, V. A., Siudek, M., et al. 2025b, ApJ, 995, 139, doi: 10.3847/1538-4357/ae1d7b
-
[28]
2023, AJ, 165, 144, doi: 10.3847/1538-3881/acb212
Guy, J., Bailey, S., Kremin, A., et al. 2023, AJ, 165, 144, doi: 10.3847/1538-3881/acb212
2023 doi
-
[29]
R., Millman, K
Harris, C. R., Millman, K. J., van der Walt, S. J., et al. 2020, Nature, 585, 357, doi: 10.1038/s41586-020-2649-2 H¨ außler, B., Vika, M., Bamford, S. P., et al. 2022, A&A, 664, A92, doi: 10.1051/0004-6361/202142935
2020 doi
-
[30]
C., et al
Hu, C., Wang, J.-M., Ho, L. C., et al. 2008, The Astrophysical Journal, 687, 78, doi: 10.1086/591838
2008 doi
-
[31]
Hunter, J. D. 2007, Computing in Science and Engineering, 9, 90, doi: 10.1109/MCSE.2007.55
2007 doi
-
[32]
Jiang, N., Luo, D., Zhu, J., & Cutri, R. M. 2025, ApJL, 980, L17, doi: 10.3847/2041-8213/adaeb9
2025 doi
-
[33]
2017, ApJ, 850, 63, doi: 10.3847/1538-4357/aa93f5
Jiang, N., Wang, T., Yan, L., et al. 2017, ApJ, 850, 63, doi: 10.3847/1538-4357/aa93f5
2017 doi
-
[34]
2022, ApJ, 926, 184, doi: 10.3847/1538-4357/ac410c
Jin, J.-J., Wu, X.-B., & Feng, X.-T. 2022, ApJ, 926, 184, doi: 10.3847/1538-4357/ac410c
2022 doi
-
[35]
M., Tremonti, C., et al
Kauffmann, G., Heckman, T. M., Tremonti, C., et al. 2003, MNRAS, 346, 1055, doi: 10.1111/j.1365-2966.2003.07154.x
2003
-
[36]
J., Dopita, M
Kewley, L. J., Dopita, M. A., Sutherland, R. S., Heisler, C. A., & Trevena, J. 2001, ApJ, 556, 121, doi: 10.1086/321545
2001 doi
-
[37]
J., Groves, B., Kauffmann, G., & Heckman, T
Kewley, L. J., Groves, B., Kauffmann, G., & Heckman, T. 2006, MNRAS, 372, 961, doi: 10.1111/j.1365-2966.2006.10859.x
2006
-
[38]
Kormendy, J., & Ho, L. C. 2013, ARA&A, 51, 511, doi: 10.1146/annurev-astro-082708-101811
2013 doi
-
[39]
M., Cales, S., Moran, E
LaMassa, S. M., Cales, S., Moran, E. C., et al. 2015, ApJ, 800, 144, doi: 10.1088/0004-637X/800/2/144
2015 doi
-
[40]
M., Kulkarni, S
Law, N. M., Kulkarni, S. R., Dekany, R. G., et al. 2009, PASP, 121, 1395, doi: 10.1086/648598
2009 doi
-
[41]
D., Conroy, C., et al
Leja, J., Johnson, B. D., Conroy, C., et al. 2019, The Astrophysical Journal, 877, 140, doi: 10.3847/1538-4357/ab1d5a
2019 doi
-
[42]
L., Ross, N
MacLeod, C. L., Ross, N. P., Lawrence, A., et al. 2016, MNRAS, 457, 389, doi: 10.1093/mnras/stv2997
2016 doi
-
[43]
2014, ARA&A, 52, 415, doi: 10.1146/annurev-astro-081811-125615
Madau, P., & Dickinson, M. 2014, ARA&A, 52, 415, doi: 10.1146/annurev-astro-081811-125615
2014 doi
-
[44]
M., et al
Mainzer, A., Bauer, J., Cutri, R. M., et al. 2014, ApJ, 792, 30, doi: 10.1088/0004-637X/792/1/30
2014 doi
-
[45]
J., Laher, R
Masci, F. J., Laher, R. R., Rusholme, B., et al. 2019, PASP, 131, 018003, doi: 10.1088/1538-3873/aae8ac
2019 doi
-
[46]
2010, in Proceedings of the 9th Python in Science Conference, 56–61, doi: 10.25080/Majora-92bf1922-00a
McKinney, W. 2010, in Proceedings of the 9th Python in Science Conference, 56–61, doi: 10.25080/Majora-92bf1922-00a
2010 doi
-
[47]
1947, Psychometrika, 12, 153, doi: 10.1007/BF02295996
McNemar, Q. 1947, Psychometrika, 12, 153, doi: 10.1007/BF02295996
1947 doi
-
[48]
2015, MNRAS, 452, 69, doi: 10.1093/mnras/stv1095
Merloni, A., Dwelly, T., Salvato, M., et al. 2015, MNRAS, 452, 69, doi: 10.1093/mnras/stv1095
2015 doi
-
[49]
2018, PASJ, 70, S1, doi: 10.1093/pasj/psx063
Miyazaki, S., Komiyama, Y., Kawanomoto, S., et al. 2018, PASJ, 70, S1, doi: 10.1093/pasj/psx063
2018 doi
-
[50]
2018, MNRAS, 480, 3898, doi: 10.1093/mnras/sty2032
Noda, H., & Done, C. 2018, MNRAS, 480, 3898, doi: 10.1093/mnras/sty2032
2018 doi
-
[51]
O., Laher, R., Law, N., et al
Ofek, E. O., Laher, R., Law, N., et al. 2012, PASP, 124, 62, doi: 10.1086/664065
2012 doi
-
[52]
2025, ApJ, 987, 48, doi: 10.3847/1538-4357/add7dd
Pan, Z., Jiang, L., Guo, W.-J., et al. 2025, ApJ, 987, 48, doi: 10.3847/1538-4357/add7dd
2025 doi
-
[53]
M., Denney, K
Peterson, B. M., Denney, K. D., De Rosa, G., et al. 2013, ApJ, 779, 109, doi: 10.1088/0004-637X/779/2/109 20
2013 doi
-
[54]
2023, Astronomy & Astrophysics, 669, A140, doi: 10.1051/0004-6361/202244623
Petrushevska, T., Leloudas, G., Ilic, D., et al. 2023, Astronomy & Astrophysics, 669, A140, doi: 10.1051/0004-6361/202244623
2023 doi
-
[55]
2021, A&A, 650, A33, doi: 10.1051/0004-6361/202140597
Potts, B., & Villforth, C. 2021, A&A, 650, A33, doi: 10.1051/0004-6361/202140597
2021 doi
-
[56]
2023, Nature Astronomy, 7, 1282, doi: 10.1038/s41550-023-02108-4
Ricci, C., & Trakhtenbrot, B. 2023, Nature Astronomy, 7, 1282, doi: 10.1038/s41550-023-02108-4
2023 doi
-
[57]
T., Lacy, M., Storrie-Lombardi, L
Richards, G. T., Lacy, M., Storrie-Lombardi, L. J., et al. 2006, ApJS, 166, 470, doi: 10.1086/506525
2006 doi
-
[58]
P., Ford, K
Ross, N. P., Ford, K. E. S., Graham, M., et al. 2018, MNRAS, 480, 4468, doi: 10.1093/mnras/sty2002
2018 doi
-
[59]
A., Gebhardt, K., & Bonning, E
Salviander, S., Shields, G. A., Gebhardt, K., & Bonning, E. W. 2007, ApJ, 662, 131, doi: 10.1086/513086
2007 doi
-
[60]
F., Kirkby, D., Schlegel, D
Schlafly, E. F., Kirkby, D., Schlegel, D. J., et al. 2023, AJ, 166, 259, doi: 10.3847/1538-3881/ad0832
2023 doi
-
[61]
2017, ApJL, 846, L7, doi: 10.3847/2041-8213/aa85de
Sheng, Z., Wang, T., Jiang, N., et al. 2017, ApJL, 846, L7, doi: 10.3847/2041-8213/aa85de
2017 doi
-
[62]
H., Fagrelius, P., Fanning, K., et al
Silber, J. H., Fagrelius, P., Fanning, K., et al. 2023, AJ, 165, 9, doi: 10.3847/1538-3881/ac9ab1
2023 doi
-
[63]
A., Gunn, J
Smee, S. A., Gunn, J. E., Uomoto, A., et al. 2013, AJ, 146, 32, doi: 10.1088/0004-6256/146/2/32
2013 doi
-
[64]
J., et al
Stern, D., McKernan, B., Graham, M. J., et al. 2018, ApJ, 864, 27, doi: 10.3847/1538-4357/aac726
2018 doi
-
[65]
2026, ApJ, 1004, 13, doi: 10.3847/1538-4357/ae6e35
Sun, S., Jiang, L., Pan, Z., et al. 2026, ApJ, 1004, 13, doi: 10.3847/1538-4357/ae6e35
2026 doi
-
[66]
2026, ApJ
Tian, J., Zhao, Y., Bai, J.-M., & Guo, W.-J. 2026, ApJ. https://arxiv.org/abs/2606.01570
2026 arXiv
-
[67]
L., Crenshaw, D
Trippe, M. L., Crenshaw, D. M., Deo, R. P., et al. 2010, ApJ, 725, 1749, doi: 10.1088/0004-637X/725/2/1749
2010 doi
-
[68]
2006, The Astrophysical Journal, 650, 57, doi: 10.1086/506376 van Groningen, E., & Wanders, I
Tsuzuki, Y., Kawara, K., Yoshii, Y., et al. 2006, The Astrophysical Journal, 650, 57, doi: 10.1086/506376 van Groningen, E., & Wanders, I. 1992, PASP, 104, 700, doi: 10.1086/133039
2006 doi
-
[69]
E., French, K
Verrico, M. E., French, K. D., Suess, K. A., et al. 2025, ApJ, 989, 101, doi: 10.3847/1538-4357/adeb88
2025 doi
-
[70]
Vestergaard, M., & Peterson, B. M. 2006, ApJ, 641, 689, doi: 10.1086/500572
2006 doi
-
[71]
Vestergaard, M., & Wilkes, B. J. 2001, ApJS, 134, 1, doi: 10.1086/320357
2001 doi
-
[72]
E., et al
Virtanen, P., Gommers, R., Oliphant, T. E., et al. 2020, Nature Methods, 17, 261, doi: 10.1038/s41592-019-0686-2
2020 doi
-
[73]
2009, ApJ, 707, 1334, doi: 10.1088/0004-637X/707/2/1334
Wang, J.-G., Dong, X.-B., Wang, T.-G., et al. 2009, ApJ, 707, 1334, doi: 10.1088/0004-637X/707/2/1334
2009 doi
-
[74]
Worthey, G., & Ottaviani, D. L. 1997, ApJS, 111, 377, doi: 10.1086/313021
1997 doi
-
[75]
L., Eisenhardt, P
Wright, E. L., Eisenhardt, P. R. M., Mainzer, A. K., et al. 2010, AJ, 140, 1868, doi: 10.1088/0004-6256/140/6/1868
2010 doi
-
[76]
J., Wu, X.-B., et al
Yang, Q., Green, P. J., Wu, X.-B., et al. 2025, ApJ, 980, 91, doi: 10.3847/1538-4357/ad94ed
2025 doi
-
[77]
G., Adelman, J., Anderson, Jr., J
York, D. G., Adelman, J., Anderson, Jr., J. E., et al. 2000, AJ, 120, 1579, doi: 10.1086/301513
2000 doi
-
[78]
2020, MNRAS, 498, 3985, doi: 10.1093/mnras/staa2627
Yu, X., Shi, Y., Chen, Y., et al. 2020, MNRAS, 498, 3985, doi: 10.1093/mnras/staa2627
2020 doi
-
[79]
2026, ApJ, 1002, 61, doi: 10.3847/1538-4357/ae5495
Zeltyn, G., Trakhtenbrot, B., Eracleous, M., et al. 2026, ApJ, 1002, 61, doi: 10.3847/1538-4357/ae5495
2026 doi
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