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arxiv: 2606.23793 · v1 · pith:CWBS7ERFnew · submitted 2026-06-22 · 🌌 astro-ph.GA

Discovery of a Barred-Spiral Galaxy at z_(spec) = 3.16 II. The Star Formation History

Pith reviewed 2026-06-26 07:54 UTC · model grok-4.3

classification 🌌 astro-ph.GA
keywords high-redshift galaxiesbarred spiral galaxiesstar formation historyJWST observationsgalaxy evolutioninside-out formation
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The pith

A barred galaxy at z=3.16 shows its central bar holding 30 percent of the mass but only 8 percent of recent star formation.

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

This paper analyzes the star formation history of a massive barred spiral galaxy observed at redshift 3.16 using HST and JWST imaging. Through image decomposition, the authors separate the bar region from the surrounding disk and model their spectral energy distributions. They find the bar contains about 30% of the total stellar mass but contributes only 8% to the recent star formation rate, with older stellar ages in the bar region. This supports an inside-out formation scenario and hints at early bar quenching. The findings suggest that such bars can form quickly in baryon-dominated galaxies at early times.

Core claim

The bar region contains around 30% of the total stellar mass, but only accounts for around 8% of the recent star formation rate. The region containing the potential bar shows a significantly older mass-weighted stellar age, supporting the inside-out scenario for galaxy formation, and providing tentative evidence for bar quenching in the early stage.

What carries the argument

Spatially resolved spectral energy distribution modeling with Prospector applied to JWST/NIRCam photometry after image decomposition and masking to isolate bar and disk components.

If this is right

  • The total stellar mass is log(M*/M⊙) = 10.63 ± 0.13.
  • The quick onset of a stellar bar at this redshift requires a low dark matter fraction.
  • High-z massive galaxies are baryon-dominated.
  • Bar quenching may occur in the early stage of galaxy evolution.

Where Pith is reading between the lines

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

  • If the bar identification holds, it implies bars can form and influence star formation within 2 billion years after the Big Bang.
  • This could connect to models where disk instabilities drive early bar formation in gas-rich environments.
  • Future observations might test if similar age gradients appear in other high-redshift barred candidates.

Load-bearing premise

The image decomposition and masking accurately isolate the flux from the bar without significant contamination or misidentification of the structure.

What would settle it

If deeper imaging or kinematic data show the bar region has similar or younger ages than the disk, or if the mass fraction in the bar is much lower than 30%.

Figures

Figures reproduced from arXiv: 2606.23793 by Daniel Ivanov, Elena D'Onghia, John R. Weaver, Katherine E. Whitaker, Luca Costantin, Mauro Giavalisco, Shardha Jogee, Yingjie Cheng, Yuchen Guo.

Figure 1
Figure 1. Figure 1: The postage stamps of HST and JWST images for COSMOS-74706. The upper panel shows the original images, and the lower panel shows images after masking the blue upper blob [PITH_FULL_IMAGE:figures/full_fig_p004_1.png] view at source ↗
Figure 2
Figure 2. Figure 2: Left: the PSF-matched RGB image of COSMOS-74706 with F356W in red, F200W in green, and F115W in blue. The upper blob is represented by a blue triangle, while the lower component is denoted by a red star. The visually identified bar region is shown within a white ellipse. Right: the same as the left panel, but after masking the blue component. galaxy, we need to remove the flux contribution from the blue up… view at source ↗
Figure 3
Figure 3. Figure 3: The best-fit spatially resolved SEDs and SFHs of COSMOS-74706. (a) observed photometry data and model spectrum for the original image (black), masked images (blue), and the bar region only (red). The gray lines show the transmission curves of all the available filters. (b) The median 5-bin SFH of the entire galaxy (black), the bar region (orange), and the off-bar region (blue) assuming the continuity SFH p… view at source ↗
Figure 4
Figure 4. Figure 4: The corner plots from Prospector SED modeling for the entire galaxy (upper panel) and the bar region (lower panel) [PITH_FULL_IMAGE:figures/full_fig_p012_4.png] view at source ↗
read the original abstract

We present a detailed analysis of a massive barred galaxy at $z_{spec}=3.1591$ using deep multi-band imaging from HST and JWST. For the first time, we resolve its morphology and stellar structures thanks to the JWST/NIRCam NIR and MIR photometry. The galaxy possesses two distinct components with significantly different colors. Through careful image decomposition and masking, we isolate and characterize the flux contribution from each component. The galaxy exhibits a clear spiral morphology, and in a separate companion paper, we present evidence suggesting the presence of a stellar bar. Based on spatially resolved spectral energy distribution modeling with Prospector, we derive the star formation history and other physical properties of the bar and the surrounding regions. The total stellar mass of the galaxy is constrained as $\log(M_*/M_{\odot}) = 10.63\pm0.13$. We find that the bar region contains around 30% of the total stellar mass, but only accounts for around 8% of the recent star formation rate. The region containing the potential bar shows a significantly older mass-weighted stellar age, supporting the inside-out scenario for galaxy formation, and providing tentative evidence for bar quenching in the early stage. The quick onset of a stellar bar at this redshift requires a low dark matter fraction, suggesting the baryon-dominated nature of high-$z$ massive galaxies, and offering rare insight into galaxy evolution at around two billion years after the Big Bang.

Editorial analysis

A structured set of objections, weighed in public.

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

Referee Report

2 major / 1 minor

Summary. The paper analyzes a massive galaxy at z_spec=3.1591 with JWST/NIRCam and HST imaging, claiming a barred-spiral morphology. Image decomposition and masking isolate a bar region that contains ~30% of the total stellar mass (log M*/M⊙=10.63±0.13) but only ~8% of the recent SFR; the bar region also shows a significantly older mass-weighted stellar age. Spatially resolved Prospector SED fits are used to derive these quantities and interpret them as support for inside-out formation plus tentative early bar quenching, with the rapid bar onset implying a low dark-matter fraction and baryon-dominated high-z galaxies.

Significance. If the bar identification and region isolation hold, the result supplies one of the earliest direct constraints on bar-driven effects on star formation, with implications for inside-out growth and the baryonic structure of z~3 massive galaxies.

major comments (2)
  1. [Image decomposition and masking (companion paper referenced for bar identification)] The headline mass fraction (~30%), recent-SFR fraction (~8%), and mass-weighted age contrast are obtained exclusively from Prospector fits to flux extracted from the masked 'bar region' versus the remainder. Because these quantities are the sole basis for the inside-out and bar-quenching claims, the manuscript must quantify how the fractions and age difference change under plausible variations in mask geometry (bar length, position angle, or width) or under alternative decompositions that allow for spiral-arm contamination inside the mask.
  2. [Spatially resolved SED modeling with Prospector] The abstract states that the bar region was isolated 'through careful image decomposition and masking,' yet no quantitative assessment of residual disk light, arm contamination, or uniqueness of the adopted mask is provided. Without such tests the reported 30%/8% split and the age contrast cannot be shown to be robust rather than artifacts of the particular mask choice.
minor comments (1)
  1. The abstract and main text should explicitly state the wavelength range and number of bands used in the Prospector fits, as well as the adopted SFH parameterization and any priors that could influence the recent-SFR and mass-weighted-age results.

Simulated Author's Rebuttal

2 responses · 0 unresolved

We thank the referee for their constructive and detailed report. The two major comments both concern the robustness of the bar-region masking and the resulting mass/SFR/age fractions. We address each point below and agree that additional quantitative tests are warranted.

read point-by-point responses
  1. Referee: [Image decomposition and masking (companion paper referenced for bar identification)] The headline mass fraction (~30%), recent-SFR fraction (~8%), and mass-weighted age contrast are obtained exclusively from Prospector fits to flux extracted from the masked 'bar region' versus the remainder. Because these quantities are the sole basis for the inside-out and bar-quenching claims, the manuscript must quantify how the fractions and age difference change under plausible variations in mask geometry (bar length, position angle, or width) or under alternative decompositions that allow for spiral-arm contamination inside the mask.

    Authors: We agree that the robustness of the reported fractions to mask choice must be demonstrated explicitly in this paper. The bar identification and fiducial decomposition are presented in the companion Paper I; the present work (Paper II) adopts that mask for the Prospector analysis. In the revised manuscript we will add a dedicated subsection (or appendix) that systematically varies the mask parameters (bar length, position angle, and width) within the uncertainties reported in Paper I, recomputes the stellar-mass, recent-SFR, and mass-weighted-age fractions for each realization, and quantifies the resulting scatter. We will also test an alternative mask that deliberately includes a larger fraction of the inner spiral arms to assess possible contamination. These tests will be shown to leave the qualitative conclusions (bar region contains ~30 % of the mass but only ~8 % of recent SFR and is older) unchanged within the reported uncertainties. revision: yes

  2. Referee: [Spatially resolved SED modeling with Prospector] The abstract states that the bar region was isolated 'through careful image decomposition and masking,' yet no quantitative assessment of residual disk light, arm contamination, or uniqueness of the adopted mask is provided. Without such tests the reported 30%/8% split and the age contrast cannot be shown to be robust rather than artifacts of the particular mask choice.

    Authors: We acknowledge that the current manuscript does not supply the requested quantitative assessment of residual disk light or arm contamination. In the revision we will add a quantitative comparison between the flux inside the adopted bar mask and the disk+arm components returned by the decomposition in Paper I. We will also report the fractional contribution of any residual disk light that remains after masking and will present results from an ensemble of masks (generated by perturbing the decomposition parameters) to demonstrate uniqueness. These additions will be placed in the methods or results section so that the 30 %/8 % split and age contrast can be evaluated in the context of the mask uncertainties. revision: yes

Circularity Check

0 steps flagged

No significant circularity detected

full rationale

The paper derives stellar mass fractions (~30%), recent SFR fractions (~8%), and mass-weighted ages via Prospector SED fits applied to fluxes isolated by image decomposition and masking, with bar identification referenced to a companion paper. These steps constitute direct observational measurements from data rather than any reduction by construction (no fitted parameter renamed as prediction, no self-definitional loop in equations, no ansatz smuggled via self-citation, and no renaming of known results). The companion paper citation is a standard multi-paper series reference and does not serve as the sole justification for a uniqueness theorem or load-bearing premise within this manuscript's own derivation chain; the central claims remain independently falsifiable against the photometry and modeling assumptions.

Axiom & Free-Parameter Ledger

0 free parameters · 0 axioms · 0 invented entities

Abstract provides no details on specific modeling assumptions or parameters used in Prospector SED fitting or image decomposition.

pith-pipeline@v0.9.1-grok · 5834 in / 1120 out tokens · 29460 ms · 2026-06-26T07:54:54.043599+00:00 · methodology

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Works this paper leans on

64 extracted references · 63 canonical work pages · 6 internal anchors

  1. [1]

    , year=2013, month=oct, volume=

    Astropy Collaboration, Robitaille, T. P., Tollerud, E. J., et al. 2013, A&A, 558, A33, doi: 10.1051/0004-6361/201322068 Astropy Collaboration, Price-Whelan, A. M., Sip˝ ocz, B. M., et al. 2018, AJ, 156, 123, doi: 10.3847/1538-3881/aabc4f 12Cheng et al. Figure 4.The corner plots fromProspectorSED modeling for the entire galaxy (upper panel) and the bar reg...

  2. [2]

    2022, ApJ, 934, 52, doi: 10.3847/1538-4357/ac779b

    Bi, D., Shlosman, I., & Romano-D´ ıaz, E. 2022, ApJ, 934, 52, doi: 10.3847/1538-4357/ac779b

  3. [3]

    2024, ApJ, 968, 86, doi: 10.3847/1538-4357/ad4118

    Federrath, C. 2024, ApJ, 968, 86, doi: 10.3847/1538-4357/ad4118

  4. [4]
  5. [5]

    , volume =

    Byler, N., Dalcanton, J. J., Conroy, C., & Johnson, B. D. 2017, ApJ, 840, 44, doi: 10.3847/1538-4357/aa6c66

  6. [6]

    The Dust Content and Opacity of Actively Star-Forming Galaxies

    Calzetti, D., Armus, L., Bohlin, R. C., et al. 2000, ApJ, 533, 682, doi: 10.1086/308692 Cervantes Sodi, B. 2017, ApJ, 835, 80, doi: 10.3847/1538-4357/835/1/80

  7. [7]

    Galactic Stellar and Substellar Initial Mass Function

    Chabrier, G. 2003, PASP, 115, 763, doi: 10.1086/376392

  8. [8]

    E., & White, M

    Conroy, C., Gunn, J. E., & White, M. 2009, ApJ, 699, 486, doi: 10.1088/0004-637X/699/1/486

  9. [9]

    C., Kartaltepe, J

    Cooke, K. C., Kartaltepe, J. S., Rose, C., et al. 2023, ApJ, 942, 49, doi: 10.3847/1538-4357/aca40f

  10. [10]

    G., Guo, Y., et al

    Costantin, L., P´ erez-Gonz´ alez, P. G., Guo, Y., et al. 2023, Nature, 623, 499, doi: 10.1038/s41586-023-06636-x

  11. [11]

    A., et al

    Costantin, L., Gillman, S., Boogaard, L. A., et al. 2025, A&A, 699, A360, doi: 10.1051/0004-6361/202451330

  12. [12]

    P., Mayer, L., Carollo, C

    Debattista, V. P., Mayer, L., Carollo, C. M., et al. 2006, ApJ, 645, 209, doi: 10.1086/504147

  13. [13]

    S., Abraham, R

    Dunlop, J. S., Abraham, R. G., Ashby, M. L. N., et al. 2021, PRIMER: Public Release IMaging for Extragalactic

  14. [14]

    G., Elmegreen, D

    Elmegreen, B. G., Elmegreen, D. M., & Hirst, A. C. 2004, ApJ, 612, 191, doi: 10.1086/422407

  15. [15]

    J., Sazonova, E., et al

    Ferreira, L., Conselice, C. J., Sazonova, E., et al. 2023, ApJ, 955, 94, doi: 10.3847/1538-4357/acec76

  16. [16]

    Finlator, K., Prescott, M. K. M., Oppenheimer, B. D., et al. 2017, MNRAS, 464, 1633, doi: 10.1093/mnras/stw2433

  17. [17]

    Fragkoudi, F., Grand, R. J. J., Pakmor, R., et al. 2025, MNRAS, 538, 1587, doi: 10.1093/mnras/staf389

  18. [18]

    S., B´ edorf, J., Baba, J., & Portegies Zwart, S

    Fujii, M. S., B´ edorf, J., Baba, J., & Portegies Zwart, S. 2018, MNRAS, 477, 1451, doi: 10.1093/mnras/sty711

  19. [19]

    Gadotti, D. A. 2011, MNRAS, 415, 3308, doi: 10.1111/j.1365-2966.2011.18945.x Garcia-G´ omez, C., Athanassoula, E., Barber` a, C., &

  20. [20]

    2017, A&A, 601, A132, doi: 10.1051/0004-6361/201628830

    Bosma, A. 2017, A&A, 601, A132, doi: 10.1051/0004-6361/201628830

  21. [21]

    M.,¨Ubler, H., et al

    Genzel, R., F¨ orster Schreiber, N. M.,¨Ubler, H., et al. 2017, Nature, 543, 397, doi: 10.1038/nature21685

  22. [22]

    H., ¨Ubler, H., et al

    Genzel, R., Price, S. H., ¨Ubler, H., et al. 2020, ApJ, 902, 98, doi: 10.3847/1538-4357/abb0ea

  23. [23]

    2019, A&A, 621, L4, doi: 10.1051/0004-6361/201834500

    George, K., Joseph, P., Mondal, C., et al. 2019, A&A, 621, L4, doi: 10.1051/0004-6361/201834500

  24. [24]

    2021, A&A, 651, A107, doi: 10.1051/0004-6361/202140697 G´ eron, T., Smethurst, R

    George, K., & Subramanian, S. 2021, A&A, 651, A107, doi: 10.1051/0004-6361/202140697 G´ eron, T., Smethurst, R. J., Lintott, C., et al. 2024, ApJ, 973, 129, doi: 10.3847/1538-4357/ad66b7 G´ eron, T., Smethurst, R. J., Dickinson, H., et al. 2025, ApJ, 987, 74, doi: 10.3847/1538-4357/add7d0

  25. [25]

    L., et al

    Guo, Y., Jogee, S., Finkelstein, S. L., et al. 2023, ApJL, 945, L10, doi: 10.3847/2041-8213/acacfb

  26. [26]

    2025, ApJ, 985, 181, doi: 10.3847/1538-4357/adc8a7 G´ eron, T., Smethurst, R

    Guo, Y., Jogee, S., Wise, E., et al. 2025, ApJ, 985, 181, doi: 10.3847/1538-4357/adc8a7

  27. [27]

    D., Di Matteo, P., et al

    Haywood, M., Lehnert, M. D., Di Matteo, P., et al. 2016, A&A, 589, A66, doi: 10.1051/0004-6361/201527567

  28. [28]

    G., Angeloudi, E., et al

    Huertas-Company, M., Iyer, K. G., Angeloudi, E., et al. 2024, A&A, 685, A48, doi: 10.1051/0004-6361/202346800

  29. [29]

    2023, ApJL, 948, L13, doi: 10.3847/2041-8213/accd6d

    Jacobs, C., Glazebrook, K., Calabr` o, A., et al. 2023, ApJL, 948, L13, doi: 10.3847/2041-8213/accd6d

  30. [30]

    Jogee, S., Scoville, N., & Kenney, J. D. P. 2005, ApJ, 630, 837, doi: 10.1086/432106

  31. [31]

    2023, dfm/python-fsps: v0.4.6, v0.4.6, Zenodo, doi: 10.5281/zenodo.10026684

    Johnson, B., Foreman-Mackey, D., Sick, J., et al. 2023, dfm/python-fsps: v0.4.6, v0.4.6, Zenodo, doi: 10.5281/zenodo.10026684

  32. [32]

    D., Leja, J., Conroy, C., & Speagle, J

    Johnson, B. D., Leja, J., Conroy, C., & Speagle, J. S. 2021, ApJS, 254, 22, doi: 10.3847/1538-4365/abef67

  33. [33]

    S., Rose, C., Vanderhoof, B

    Kartaltepe, J. S., Rose, C., Vanderhoof, B. N., et al. 2023, ApJL, 946, L15, doi: 10.3847/2041-8213/acad01

  34. [34]

    D., & Combes, F

    Khoperskov, S., Haywood, M., Di Matteo, P., Lehnert, M. D., & Combes, F. 2018, A&A, 609, A60, doi: 10.1051/0004-6361/201731211

  35. [35]

    Kormendy, J., & Kennicutt, Jr., R. C. 2004, ARA&A, 42, 603, doi: 10.1146/annurev.astro.42.053102.134024

  36. [36]

    E., Reddy, N

    Kriek, M., Shapley, A. E., Reddy, N. A., et al. 2015, ApJS, 218, 15, doi: 10.1088/0067-0049/218/2/15

  37. [37]

    M., Genzel, R., et al

    Lang, P., F¨ orster Schreiber, N. M., Genzel, R., et al. 2017, ApJ, 840, 92, doi: 10.3847/1538-4357/aa6d82

  38. [38]

    and Campbell, S

    Lawrence, A., Warren, S. J., Almaini, O., et al. 2007, MNRAS, 379, 1599, doi: 10.1111/j.1365-2966.2007.12040.x Le Conte, Z. A., Gadotti, D. A., Ferreira, L., et al. 2024, MNRAS, 530, 1984, doi: 10.1093/mnras/stae921 —. 2025, MNRAS, doi: 10.1093/mnras/staf2010

  39. [39]

    Speagle, J. S. 2019, ApJ, 876, 3, doi: 10.3847/1538-4357/ab133c

  40. [40]

    K., Schinnerer, E., Liu, D., et al

    Leslie, S. K., Schinnerer, E., Liu, D., et al. 2020, ApJ, 899, 58, doi: 10.3847/1538-4357/aba044

  41. [41]

    2007, ApJ, 659, 1176, doi: 10.1086/512355

    Marinova, I., & Jogee, S. 2007, ApJ, 659, 1176, doi: 10.1086/512355 Men´ endez-Delmestre, K., Cavalcante-Coelho, Y., Cortesi, A., et al. 2023, in Galactic Bars: Driving and Decoding Galaxy Evolution, 38, doi: 10.5281/zenodo.8135058 14Cheng et al. Men´ endez-Delmestre, K., Sheth, K., Schinnerer, E., Jarrett, T. H., & Scoville, N. Z. 2007, ApJ, 657, 790, do...

  42. [42]

    M., Masters, K

    Newnham, L., Hess, K. M., Masters, K. L., et al. 2020, MNRAS, 492, 4697, doi: 10.1093/mnras/staa064

  43. [43]

    P., Dupke, R., Coelho, P., et al

    Nogueira-Cavalcante, J. P., Dupke, R., Coelho, P., et al. 2019, A&A, 630, A88, doi: 10.1051/0004-6361/201935138

  44. [44]

    , keywords =

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

  45. [45]

    J., et al

    Pastras, S., Genzel, R., Tacconi, L. J., et al. 2025, arXiv e-prints, arXiv:2505.07925, doi: 10.48550/arXiv.2505.07925

  46. [46]

    Y., Ho, L

    Peng, C. Y., Ho, L. C., Impey, C. D., & Rix, H.-W. 2010, AJ, 139, 2097, doi: 10.1088/0004-6256/139/6/2097

  47. [47]

    1996, MNRAS, 281, 27, doi: 10.1093/mnras/278.1.27

    Persic, M., Salucci, P., & Stel, F. 1996, MNRAS, 281, 27, doi: 10.1093/mnras/278.1.27

  48. [48]

    H., Shimizu, T

    Price, S. H., Shimizu, T. T., Genzel, R., et al. 2021, ApJ, 922, 143, doi: 10.3847/1538-4357/ac22ad

  49. [49]

    , keywords =

    Reed, D., Gardner, J., Quinn, T., et al. 2003, MNRAS, 346, 565, doi: 10.1046/j.1365-2966.2003.07113.x

  50. [50]

    E., Tacchella, S., Johnson, B

    Robertson, B. E., Tacchella, S., Johnson, B. D., et al. 2023, ApJL, 942, L42, doi: 10.3847/2041-8213/aca086

  51. [51]

    , keywords =

    Rosas-Guevara, Y., Bonoli, S., Dotti, M., et al. 2022, MNRAS, 512, 5339, doi: 10.1093/mnras/stac816

  52. [52]

    2007, ApJS, 172, 1, doi: 10.1086/516585

    Scoville, N., Aussel, H., Brusa, M., et al. 2007, ApJS, 172, 1, doi: 10.1086/516585

  53. [53]

    Sellwood, J. A. 2014, Reviews of Modern Physics, 86, 1, doi: 10.1103/RevModPhys.86.1

  54. [54]

    2023, arXiv e-prints, arXiv:2309.04541, doi: 10.48550/arXiv.2309.04541

    Sharma, G., van de Ven, G., Salucci, P., & Martorano, M. 2023, arXiv e-prints, arXiv:2309.04541, doi: 10.48550/arXiv.2309.04541

  55. [55]

    M., Elmegreen, B

    Sheth, K., Elmegreen, D. M., Elmegreen, B. G., et al. 2008, ApJ, 675, 1141, doi: 10.1086/524980

  56. [56]

    Speagle, J. S. 2020, MNRAS, 493, 3132, doi: 10.1093/mnras/staa278

  57. [57]

    2017, MNRAS, 465, 3729, doi: 10.1093/mnras/stw2934

    Spinoso, D., Bonoli, S., Dotti, M., et al. 2017, MNRAS, 465, 3729, doi: 10.1093/mnras/stw2934

  58. [58]

    1977, ARA&A, 15, 437, doi: 10.1146/annurev.aa.15.090177.002253 van der Wel, A., Rix, H.-W., Wuyts, S., et al

    Toomre, A. 1977, ARA&A, 15, 437, doi: 10.1146/annurev.aa.15.090177.002253 van der Wel, A., Rix, H.-W., Wuyts, S., et al. 2011, ApJ, 730, 38, doi: 10.1088/0004-637X/730/1/38 van der Wel, A., Chang, Y.-Y., Bell, E. F., et al. 2014, ApJL, 792, L6, doi: 10.1088/2041-8205/792/1/L6

  59. [59]

    T., Tacchella, S., Johnson, B

    Wan, J. T., Tacchella, S., Johnson, B. D., et al. 2024, MNRAS, 532, 4002, doi: 10.1093/mnras/stae1734

  60. [60]

    2023, astrowhit/aperpy: v1.0.1, v1.0.1, Zenodo, doi: 10.5281/zenodo.8339191

    Weaver, J., & Cutler, S. 2023, astrowhit/aperpy: v1.0.1, v1.0.1, Zenodo, doi: 10.5281/zenodo.8339191

  61. [61]

    R., Cutler, S

    Weaver, J. R., Cutler, S. E., Pan, R., et al. 2024, ApJS, 270, 7, doi: 10.3847/1538-4365/ad07e0

  62. [62]

    Weinberg, M. D. 2025, The Open Journal of Astrophysics, 8, 70, doi: 10.33232/001c.138494

  63. [63]

    2009, ApJ, 696, 411, doi: 10.1088/0004-637X/696/1/411

    Kormendy, J. 2009, ApJ, 696, 411, doi: 10.1088/0004-637X/696/1/411

  64. [64]

    2012, ApJL, 750, L41, doi: 10.1088/2041-8205/750/2/L41

    Chen, H.-Y. 2012, ApJL, 750, L41, doi: 10.1088/2041-8205/750/2/L41