pith. machine review for the scientific record. sign in

arxiv: 2604.18696 · v2 · submitted 2026-04-20 · 🌌 astro-ph.GA · astro-ph.SR

Recognition: 2 theorem links

· Lean Theorem

Other red dots: A possible GLIMPSE of normal AGB stars at Cosmic Noon through extreme lensing

Authors on Pith no claims yet

Pith reviewed 2026-05-13 06:47 UTC · model grok-4.3

classification 🌌 astro-ph.GA astro-ph.SR
keywords gravitational lensingasymptotic giant branch starsJWSThigh-redshift galaxiesstellar populationscosmic noonstrong lensingmagnified stars
0
0 comments X

The pith

Extreme lensing and deep JWST imaging detect individual AGB stars at redshifts 1-4

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

The paper reports four extremely faint red point sources found in ultra-deep JWST/NIRCam images of the strong-lensing cluster Abell S1063. These sources lie in lensed arcs right at the symmetry points near the critical curves for galaxies at redshifts 1 to 4. The combination of magnifications up to 10,000 and the depth of the GLIMPSE data lets the authors resolve what they interpret as three asymptotic giant branch stars with temperatures 3200-3750 K plus one yellow supergiant at 6750 K. A sympathetic reader would care because this offers the first direct look at ordinary low-mass red stars in the era when the universe was roughly half its present age, with potential uses for tracing stellar evolution and chemical enrichment.

Core claim

Thanks to the unprecedented depth of the GLIMPSE observations paired with the extreme lensing magnification up to mu approximately 10 to the 4, we might be resolving the lower-mass red stellar population. Concretely, we detect three likely extremely magnified asymptotic giant branch stars with effective temperatures 3200-3750 K and one yellow super-giant star with effective temperature 6750 K, possibly a yellow hyper-giant or Cepheid.

What carries the argument

Extreme gravitational lensing magnification near critical curves in Abell S1063, reaching factors up to 10,000, paired with ultra-deep JWST/NIRCam imaging that reaches surface brightnesses below 21 nJy per square arcsecond.

If this is right

  • These detections open a possible window into stellar populations, evolution, and chemical enrichment at high redshifts.
  • Lensed stars such as these could serve as standard candles to populate the distance ladder at cosmological redshifts.
  • The appearance of similar sources in multiple faint arcs suggests this is a repeatable class of observable objects in deep lensed fields.

Where Pith is reading between the lines

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

  • If the identifications hold, repeated imaging could measure pulsation periods of high-redshift AGB stars or Cepheids to test stellar models.
  • The technique might eventually constrain the low-mass end of the initial mass function in galaxies at cosmic noon.
  • Similar searches in other clusters could provide direct counts of evolved stars to compare with integrated light models of high-redshift galaxies.

Load-bearing premise

The four point sources are single stars rather than unresolved compact clusters or background contaminants, and their colors match stellar templates at the lensed redshifts.

What would settle it

Spectroscopy that shows absorption features matching AGB or supergiant atmospheres at the claimed redshifts and temperatures, or multi-epoch imaging that detects the expected variability of AGB or Cepheid stars.

Figures

Figures reproduced from arXiv: 2604.18696 by (10) University of Toronto, (11) University of Minnesota, (12) University of Geneva, (13) Indian Institute of Science, (14) Massachusetts Institute of Technology, (15) Stockholm University), (2) Ben-Gurion-University of the Negev, (3) Uppsala University, (4) Instituto de F\'Isica de Cantabria, (5) Institut d'Astrophysique de Paris, (6) Space Telescope Science Institute, 7), (7) Rutgers University, (8) Tufts University, (9) Cosmic Dawn Center, Adi Zitrin (2), Alberto Saldana-Lopez (15) ((1) University of Texas at Austin, Anthony J. Taylor (1), Ashish K. Meena (13), Damien Korber (12), Erik Zackrisson (3), Gabriel Brammer (9), Hakim Atek (5), John Chisholm (1), Jose M. Diego (4), Joseph F. V. Allingham (2), Kristen B. W. McQuinn (6, Lukas J. Furtak (1), Patrick L. Kelly (11), Qinyue Fei (10), Richard Pan (8), Rohan P. Naidu (14), Ryan Endsley (1), Seiji Fujimoto (10), Tiger Y.-Y. Hsiao (1), Vasily Kokorev (1).

Figure 1
Figure 1. Figure 1: Red lensed star candidates in AS1063. Left: Observed deep GLIMPSE JWST and HST photometry (blue; see Tab. 3), overlaid with the best-fit AGB-star SED (black) and the best-fit photometry (red). Middle: BCG-subtracted 3′′ × 3 ′′ GLIMPSE JWST composite-color image cutout centered on the lensed star candidates. The critical line from our SL model (see appendix C) for the source redshift of the corresponding ob… view at source ↗
Figure 2
Figure 2. Figure 2: Simulated brightness properties of a 4.5 Gyr old, constant SFH stellar population of M⋆ = 6 × 105 M⊙ at z = 1.43 (the spectroscopic redshift of ID 24951). This represents the most conservative population in the vicinity of the lensed star since it corresponds to the age of the Universe at that redshift. Left: Distribution of apparent magnitudes in F115W and F444W for the brightest stars in the simulated po… view at source ↗
Figure 3
Figure 3. Figure 3: JWST/NIRSpec G395M/F290LP spectroscopy of multiple image system 401, the host arc of ID 43258 Hedorah. Left: Zoom-in on the Hα line, measured at zspec = 3.7152 ± 0.0001. The identification of this single emission line as Hα is facilitated by a multitude of close-by spectroscopically confirmed multiple image systems which places a strong geometric prior on the redshift of system 401. Right: BCG-subtracted 5… view at source ↗
Figure 4
Figure 4. Figure 4: Color-comparison of the lensed star candidates (stars) with point-sources in the GLIMPSE catalog (circles). The lensed stars are less red in F150W − F277W than most point-sources of similar F150W−F444W color in the catalog due to their smoothly rising red rest-frame optical slopes (see [PITH_FULL_IMAGE:figures/full_fig_p010_4.png] view at source ↗
read the original abstract

We report the discovery of four extremely faint ($m_{\mathrm{F444W}}\gtrsim29$) red point sources in recent ultra-deep JWST/NIRCam images of the strong lensing galaxy cluster Abell S1063. All four sources sit in lensed arcs, on the symmetry points very close to the critical curves for their host-galaxies' redshifts ($z\sim1-4$). Remarkably, these point sources appear in most arcs that are sufficiently faint close to the critical curve's position ($<21\,\mathrm{nJy}\,\mathrm{arcsec}^{-2}$ in F115W). This suggests that -- unlike previous caustic-crossing events or lensed stars -- thanks to the unprecedented depth of the GLIMPSE observations paired with the extreme lensing magnification (up to $\mu\sim10^4$) we might be resolving the lower-mass ($M\sim1-11\,\mathrm{M}_{\odot}$) red stellar population. Concretely, we detect three likely extremely magnified asymptotic giant branch (AGB) stars ($T_{\mathrm{eff}}\sim3200-3750$ K), and one yellow super-giant star ($T_{\mathrm{eff}}\sim6750$ K) -- possibly a yellow hyper-giant or a Cepheid. In addition to offering the first glimpse at low-mass extremely magnified stars, these detections open a possible window into stellar populations, evolution, and chemical enrichment at high redshifts, and could pave the way for using lensed stars such as these as standard candles to populate the distance ladder at cosmological redshifts.

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

3 major / 2 minor

Summary. The manuscript reports the discovery of four extremely faint red point sources (m_F444W ≳29) in ultra-deep JWST/NIRCam images of the strong-lensing cluster Abell S1063. These sources lie on symmetry points very close to the critical curves of their host arcs at z∼1-4. The authors interpret three as extremely magnified AGB stars (T_eff∼3200-3750 K) and one as a yellow supergiant (T_eff∼6750 K), attributing the detections to the combination of GLIMPSE depth and magnifications up to μ∼10^4 that resolve low-mass (1-11 M_⊙) red stellar populations at cosmic noon.

Significance. If the identifications as individual stars are confirmed, the result would be significant: it offers the first direct view of the lower-mass end of the red stellar population at high redshift via extreme lensing, with potential implications for stellar evolution, chemical enrichment, and the use of such stars as standard candles. The approach leverages unprecedented JWST depth paired with caustic proximity in a novel way.

major comments (3)
  1. [Abstract and results section on source identification] The central claim that the four m_F444W ≳29 point sources are single AGB or yellow-supergiant stars at the arc redshifts rests on positional coincidence with critical curves plus broadband color matching to stellar templates in the available NIRCam bands. No spectroscopic confirmation is presented, and quantitative modeling of alternatives (compact star-forming knots, unresolved clusters, or foreground/background contaminants) is absent; this directly undermines the interpretation as resolved individual stars.
  2. [Lens modeling and magnification estimates] The extreme magnifications (μ∼10^4) invoked to resolve M∼1-11 M_⊙ stars are taken from external lens models without reported uncertainty quantification or sensitivity tests at the precise locations of the four sources; small shifts in the critical-curve position would change the inferred intrinsic luminosities and stellar types substantially.
  3. [Selection and detection statistics] The statement that the sources appear in 'most arcs that are sufficiently faint close to the critical curve's position (<21 nJy arcsec^{-2} in F115W)' introduces a potential post-hoc selection bias. The paper does not demonstrate that the detection rate remains significant when the faint-arc threshold is varied or when all arcs near critical curves are considered without the flux cut.
minor comments (2)
  1. [Photometry section] Clarify the exact photometric apertures and background subtraction used for the point sources in the F115W and F444W bands; provide the full SED table for independent verification.
  2. [Figures showing source positions] Add error bars or uncertainty regions to the critical-curve overlays in the figures showing the four sources.

Simulated Author's Rebuttal

3 responses · 1 unresolved

We thank the referee for their careful and constructive review. We address each major comment below and describe the revisions we will incorporate.

read point-by-point responses
  1. Referee: [Abstract and results section on source identification] The central claim that the four m_F444W ≳29 point sources are single AGB or yellow-supergiant stars at the arc redshifts rests on positional coincidence with critical curves plus broadband color matching to stellar templates in the available NIRCam bands. No spectroscopic confirmation is presented, and quantitative modeling of alternatives (compact star-forming knots, unresolved clusters, or foreground/background contaminants) is absent; this directly undermines the interpretation as resolved individual stars.

    Authors: We agree that spectroscopic confirmation would be definitive, but the extreme faintness (m_F444W ≳29) makes it infeasible with current facilities. The positional alignment with critical curves and color consistency with stellar templates remain the primary evidence. In revision we will add quantitative simulations of alternative scenarios (compact knots, unresolved clusters, and contaminants) to assess their viability relative to the stellar interpretation. revision: partial

  2. Referee: [Lens modeling and magnification estimates] The extreme magnifications (μ∼10^4) invoked to resolve M∼1-11 M_⊙ stars are taken from external lens models without reported uncertainty quantification or sensitivity tests at the precise locations of the four sources; small shifts in the critical-curve position would change the inferred intrinsic luminosities and stellar types substantially.

    Authors: We will perform and report sensitivity tests that shift the critical-curve locations within the published uncertainties of the external lens models. The revised manuscript will include the resulting range in magnification and the corresponding impact on inferred stellar luminosities and types. revision: yes

  3. Referee: [Selection and detection statistics] The statement that the sources appear in 'most arcs that are sufficiently faint close to the critical curve's position (<21 nJy arcsec^{-2} in F115W)' introduces a potential post-hoc selection bias. The paper does not demonstrate that the detection rate remains significant when the faint-arc threshold is varied or when all arcs near critical curves are considered without the flux cut.

    Authors: We will revise the selection section to include a systematic test: we vary the surface-brightness threshold around the quoted value and repeat the analysis on the full set of arcs near critical curves without the flux cut. The revised text will show that the detection rate remains statistically significant across these variations, confirming that the result is not driven by a post-hoc cut. revision: yes

standing simulated objections not resolved
  • Spectroscopic confirmation of the sources, which is not feasible with existing instrumentation given their extreme faintness.

Circularity Check

0 steps flagged

No significant circularity; claims rest on external lensing models and standard templates

full rationale

The paper presents an observational discovery of faint point sources and classifies them via broadband color matching to external stellar templates plus magnification factors drawn from cited lens models. No derivation chain, equation, or fitted parameter within the manuscript reduces the central claims to quantities defined by the paper itself. Self-citations (if present for lens modeling) are not load-bearing for the stellar identification step, which remains independently falsifiable against template libraries and contamination tests. This is the expected outcome for an observational report relying on standard astrophysical tools.

Axiom & Free-Parameter Ledger

1 free parameters · 1 axioms · 0 invented entities

The central claim depends on standard assumptions from gravitational lensing and stellar astrophysics without new invented entities; temperature estimates are fitted to models.

free parameters (1)
  • effective temperature from colors = 3200-3750 K and 6750 K
    Derived by matching observed broadband colors to stellar atmosphere models
axioms (1)
  • domain assumption Strong gravitational lensing produces magnifications up to 10^4 near critical curves of galaxy clusters
    Invoked to explain visibility of the point sources

pith-pipeline@v0.9.0 · 5873 in / 1368 out tokens · 76801 ms · 2026-05-13T06:47:02.547641+00:00 · methodology

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.

Lean theorems connected to this paper

Citations machine-checked in the Pith Canon. Every link opens the source theorem in the public Lean library.

What do these tags mean?
matches
The paper's claim is directly supported by a theorem in the formal canon.
supports
The theorem supports part of the paper's argument, but the paper may add assumptions or extra steps.
extends
The paper goes beyond the formal theorem; the theorem is a base layer rather than the whole result.
uses
The paper appears to rely on the theorem as machinery.
contradicts
The paper's claim conflicts with a theorem or certificate in the canon.
unclear
Pith found a possible connection, but the passage is too broad, indirect, or ambiguous to say the theorem truly supports the claim.

Forward citations

Cited by 1 Pith paper

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

  1. A Glimpse of the Low-Mass End of the Direct Mass-Metallicity Relation at $z\sim6-8$

    astro-ph.GA 2026-05 unverdicted novelty 7.0

    Direct [OIII]4364-based metallicities show that galaxies with stellar masses 10^6.7-9 solar masses at z~6-8 are 0.3-0.5 dex more metal-poor than local galaxies of the same mass, with slope 0.25 and 0.2 dex scatter.

Reference graph

Works this paper leans on

99 extracted references · 99 canonical work pages · cited by 1 Pith paper · 4 internal anchors

  1. [1]

    O., Corwin, Jr., H

    Abell, G. O., Corwin, Jr., H. G., & Olowin, R. P. 1989, ApJS, 70, 1, doi: 10.1086/191333

  2. [2]

    Allingham, J. F. V., Zitrin, A., Kokorev, V., et al. 2026, arXiv e-prints, arXiv:2602.14074, doi: 10.48550/arXiv.2602.14074 Arellano-C´ ordova, K. Z., Cullen, F., Carnall, A. C., et al. 2025, MNRAS, 540, 2991, doi: 10.1093/mnras/staf855 Astropy Collaboration, Robitaille, T. P., Tollerud, E. J., et al. 2013, A&A, 558, A33, doi: 10.1051/0004-6361/201322068

  3. [3]

    JWST’s GLIMPSE: an overview of the deep- est probe of early galaxy formation and cosmic reionization

    Atek, H., Chisholm, J., Kokorev, V., et al. 2025, arXiv e-prints, arXiv:2511.07542, doi: 10.48550/arXiv.2511.07542

  4. [4]

    and Accardo, M

    Bacon, R., Accardo, M., Adjali, L., et al. 2010, in Society of Photo-Optical Instrumentation Engineers (SPIE) Conference Series, Vol. 7735, Ground-based and Airborne Instrumentation for Astronomy III, ed. I. S. McLean, S. K. Ramsay, & H. Takami, 773508, doi: 10.1117/12.856027

  5. [5]

    2013, A&A, 559, L9, doi: 10.1051/0004-6361/201322620

    Balestra, I., Vanzella, E., Rosati, P., et al. 2013, A&A, 559, L9, doi: 10.1051/0004-6361/201322620

  6. [6]

    R., & Meyer, M

    Bastian, N., Covey, K. R., & Meyer, M. R. 2010, ARA&A, 48, 339, doi: 10.1146/annurev-astro-082708-101642

  7. [7]

    2014, MNRAS, 443, 3594, doi: 10.1093/mnras/stu1407

    Bastian, N., & Strader, J. 2014, MNRAS, 443, 3594, doi: 10.1093/mnras/stu1407

  8. [8]

    2024, MNRAS, 527, 3246, doi: 10.1093/mnras/stad3308

    Beauchesne, B., Cl´ ement, B., Hibon, P., et al. 2024, MNRAS, 527, 3246, doi: 10.1093/mnras/stad3308

  9. [9]

    2025, arXiv e-prints, arXiv:2509.07777, doi: 10.48550/arXiv.2509.07777

    Beauchesne, B., Cl´ ement, B., Limousin, M., et al. 2025, arXiv e-prints, arXiv:2509.07777, doi: 10.48550/arXiv.2509.07777

  10. [10]

    A Fleeting GLIMPSE of N/O Enrichment at Cosmic Dawn: Evidence for Wolf Rayet N Stars in a z = 6.1 Galaxy

    Berg, D. A., Naidu, R. P., Chisholm, J., et al. 2025, arXiv e-prints, arXiv:2511.13591, doi: 10.48550/arXiv.2511.13591

  11. [11]

    2019, A&A, 631, A130, doi: 10.1051/0004-6361/201935974

    Bergamini, P., Rosati, P., Mercurio, A., et al. 2019, A&A, 631, A130, doi: 10.1051/0004-6361/201935974

  12. [12]

    E., et al

    Bezanson, R., Labbe, I., Whitaker, K. E., et al. 2022, arXiv e-prints, arXiv:2212.04026, doi: 10.48550/arXiv.2212.04026 B¨ oker, T., Beck, T. L., Birkmann, S. M., et al. 2023, PASP, 135, 038001, doi: 10.1088/1538-3873/acb846

  13. [13]

    2025,, 2.2.0 Zenodo, doi: 10.5281/zenodo.14889440

    Bradley, L., Sip˝ ocz, B., Robitaille, T., et al. 2025, astropy/photutils: 2.2.0, 2.2.0 Zenodo, doi: 10.5281/zenodo.14889440

  14. [14]

    2023, msaexp: NIRSpec analyis tools, 0.6.17 Zenodo, doi: 10.5281/zenodo.8319596

    Brammer, G. 2023, msaexp: NIRSpec analyis tools, 0.6.17 Zenodo, doi: 10.5281/zenodo.8319596

  15. [15]

    , keywords =

    Bunker, A. J., Saxena, A., Cameron, A. J., et al. 2023, A&A, 677, A88, doi: 10.1051/0004-6361/202346159

  16. [16]

    2025, arXiv e-prints, arXiv:2512.07955, doi: 10.48550/arXiv.2512.07955

    Cataldi, E., Belfiore, F., Curti, M., et al. 2025, arXiv e-prints, arXiv:2512.07955, doi: 10.48550/arXiv.2512.07955

  17. [17]

    Galactic

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

  18. [18]

    L., Diego, J

    Chen, W., Kelly, P. L., Diego, J. M., et al. 2019, ApJ, 881, 8, doi: 10.3847/1538-4357/ab297d

  19. [19]

    M., Slob, M., Kriek, M., et al

    Cheng, C. M., Slob, M., Kriek, M., et al. 2026, arXiv e-prints, arXiv:2601.20864, doi: 10.48550/arXiv.2601.20864

  20. [20]

    M., Pascale, M., Kavanagh, B

    Diego, J. M., Pascale, M., Kavanagh, B. J., et al. 2022, A&A, 665, A134, doi: 10.1051/0004-6361/202243605

  21. [21]

    M., Willner, S

    Diego, J. M., Willner, S. P., Palencia, J. M., & Windhorst, R. A. 2026a, A&A, 706, A119, doi: 10.1051/0004-6361/202553675

  22. [22]

    M., Kaiser, N., Broadhurst, T., et al

    Diego, J. M., Kaiser, N., Broadhurst, T., et al. 2018, ApJ, 857, 25, doi: 10.3847/1538-4357/aab617

  23. [23]

    M., Meena, A

    Diego, J. M., Meena, A. K., Adams, N. J., et al. 2023a, A&A, 672, A3, doi: 10.1051/0004-6361/202245238

  24. [24]

    M., Pascale, M., Frye, B., et al

    Diego, J. M., Pascale, M., Frye, B., et al. 2023b, A&A, 679, A159, doi: 10.1051/0004-6361/202345868

  25. [25]

    M., Sun, B., Yan, H., et al

    Diego, J. M., Sun, B., Yan, H., et al. 2023c, A&A, 679, A31, doi: 10.1051/0004-6361/202347556

  26. [26]

    M., Li, S

    Diego, J. M., Li, S. K., Amruth, A., et al. 2024a, A&A, 689, A167, doi: 10.1051/0004-6361/202450474 15

  27. [27]

    M., Amruth, A., Palencia, J

    Diego, J. M., Amruth, A., Palencia, J. M., et al. 2024b, A&A, 690, A359, doi: 10.1051/0004-6361/202451246

  28. [28]

    M., Palencia, J

    Diego, J. M., Palencia, J. M., Goolsby, C., et al. 2026b, arXiv e-prints, arXiv:2601.11704. https://arxiv.org/abs/2601.11704

  29. [29]

    L., Gil-Pons, P., Lau, H

    Doherty, C. L., Gil-Pons, P., Lau, H. H. B., et al. 2014, MNRAS, 441, 582, doi: 10.1093/mnras/stu571

  30. [30]

    L., Gil-Pons, P., Siess, L., & Lattanzio, J

    Doherty, C. L., Gil-Pons, P., Siess, L., & Lattanzio, J. C. 2017, PASA, 34, e056, doi: 10.1017/pasa.2017.52

  31. [31]

    2021, astropy/specutils: V1.5.0, v1.5.0 Zenodo, doi: 10.5281/zenodo.5721652 El´ ıasd´ ottir,´A., Limousin, M., Richard, J., et al

    Earl, N., Tollerud, E., Jones, C., et al. 2021, astropy/specutils: V1.5.0, v1.5.0 Zenodo, doi: 10.5281/zenodo.5721652 El´ ıasd´ ottir,´A., Limousin, M., Richard, J., et al. 2007, ArXiv e-prints. https://arxiv.org/abs/0710.5636

  32. [32]

    P., Whitler, L., et al

    Endsley, R., Stark, D. P., Whitler, L., et al. 2024, MNRAS, 533, 1111, doi: 10.1093/mnras/stae1857

  33. [33]

    2022, A&A, 661, A81, doi: 10.1051/0004-6361/202142673

    Ferruit, P., Jakobsen, P., Giardino, G., et al. 2022, A&A, 661, A81, doi: 10.1051/0004-6361/202142673

  34. [34]

    and Lang, Dustin and Goodman, Jonathan , title =

    Foreman-Mackey, D., Hogg, D. W., Lang, D., & Goodman, J. 2013, PASP, 125, 306, doi: 10.1086/670067

  35. [35]

    L., & Madore, B

    Freedman, W. L., & Madore, B. F. 2020, ApJ, 899, 67, doi: 10.3847/1538-4357/aba9d8

  36. [36]

    L., & Madore, B

    Freedman, W. L., & Madore, B. F. 2024, in IAU

  37. [37]

    376, IAU Symposium, ed

    Symposium, Vol. 376, IAU Symposium, ed. R. de Grijs, P. A. Whitelock, & M. Catelan, 1–14, doi: 10.1017/S1743921323003459

  38. [38]

    M., et al

    Fudamoto, Y., Sun, F., Diego, J. M., et al. 2025, Nature Astronomy, 9, 428, doi: 10.1038/s41550-024-02432-3

  39. [39]

    P., Chisholm, J., et al

    Fujimoto, S., Naidu, R. P., Chisholm, J., et al. 2025a, ApJ, 989, 46, doi: 10.3847/1538-4357/ade9a1

  40. [40]

    P., et al

    Fujimoto, S., Asada, Y., Naidu, R. P., et al. 2025b, arXiv e-prints, arXiv:2512.11790, doi: 10.48550/arXiv.2512.11790

  41. [41]

    J., Meena, A

    Furtak, L. J., Meena, A. K., Zackrisson, E., et al. 2024, MNRAS, 527, L7, doi: 10.1093/mnrasl/slad135

  42. [42]

    and others , year=

    Gardner, J. P., Mather, J. C., Abbott, R., et al. 2023, PASP, 135, 068001, doi: 10.1088/1538-3873/acd1b5

  43. [43]

    L., Guti´ errez, J

    Gil-Pons, P., Doherty, C. L., Guti´ errez, J. L., et al. 2018, PASA, 35, e038, doi: 10.1017/pasa.2018.42

  44. [44]

    E., Labbe, I., Goulding, A

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

  45. [45]

    M., Davidson, K., & Smith, N

    Humphreys, R. M., Davidson, K., & Smith, N. 2002, AJ, 124, 1026, doi: 10.1086/341380

  46. [46]

    Hunter, J. D. 2007, Computing in Science & Engineering, 9, 90, doi: 10.1109/MCSE.2007.55

  47. [47]

    2024, arXiv e-prints, arXiv:2405.04530, doi: 10.48550/arXiv.2405.04530

    Jakobsen, P. 2024, arXiv e-prints, arXiv:2405.04530, doi: 10.48550/arXiv.2405.04530

  48. [48]

    2022, A&A, 661, A80, doi: 10.1051/0004-6361/202142663

    Jakobsen, P., Ferruit, P., Alves de Oliveira, C., et al. 2022, A&A, 661, A80, doi: 10.1051/0004-6361/202142663

  49. [49]

    J., Humphreys, R

    Jones, T. J., Humphreys, R. M., Gehrz, R. D., et al. 1993, ApJ, 411, 323, doi: 10.1086/172832

  50. [50]

    I., & Lattanzio, J

    Karakas, A. I., & Lattanzio, J. C. 2014, PASA, 31, e030, doi: 10.1017/pasa.2014.21

  51. [51]

    1993, ApJ, 417, 450, doi: 10.1086/173325

    Kassiola, A., & Kovner, I. 1993, ApJ, 417, 450, doi: 10.1086/173325

  52. [52]

    L., Diego, J

    Kelly, P. L., Diego, J. M., Rodney, S., et al. 2018, Nature Astronomy, 2, 334, doi: 10.1038/s41550-018-0430-3

  53. [53]

    L., Chen, W., Alfred, A., et al

    Kelly, P. L., Chen, W., Alfred, A., et al. 2022, arXiv e-prints, arXiv:2211.02670, doi: 10.48550/arXiv.2211.02670

  54. [54]

    2013, Stellar Structure and Evolution, doi: 10.1007/978-3-642-30304-3

    Kippenhahn, R., Weigert, A., & Weiss, A. 2013, Stellar Structure and Evolution, doi: 10.1007/978-3-642-30304-3

  55. [55]

    I., & Lugaro, M

    Kobayashi, C., Karakas, A. I., & Lugaro, M. 2020, ApJ, 900, 179, doi: 10.3847/1538-4357/abae65

  56. [56]

    I., Greene, J

    Kokorev, V., Caputi, K. I., Greene, J. E., et al. 2024, ApJ, 968, 38, doi: 10.3847/1538-4357/ad4265

  57. [57]

    2013, in Planets, Stars and Stellar Systems

    Kroupa, P., Weidner, C., Pflamm-Altenburg, J., et al. 2013, in Planets, Stars and Stellar Systems. Volume 5: Galactic Structure and Stellar Populations, ed. T. D. Oswalt & G. Gilmore, Vol. 5, 115, doi: 10.1007/978-94-007-5612-0 4

  58. [58]

    S., & Pickering, E

    Leavitt, H. S., & Pickering, E. C. 1912, Harvard College Observatory Circular, 173, 1

  59. [59]

    G., Freedman, W

    Lee, M. G., Freedman, W. L., & Madore, B. F. 1993, ApJ, 417, 553, doi: 10.1086/173334

  60. [60]

    1997, A&AS, 125, 229, doi: 10.1051/aas:1997373

    Lejeune, T., Cuisinier, F., & Buser, R. 1997, A&AS, 125, 229, doi: 10.1051/aas:1997373

  61. [61]

    Levesque, E. M. 2017, Astrophysics of Red Supergiants, doi: 10.1088/978-0-7503-1329-2

  62. [62]

    M., Koekemoer, A., Coe, D., et al

    Lotz, J. M., Koekemoer, A., Coe, D., et al. 2017, ApJ, 837, 97, doi: 10.3847/1538-4357/837/1/97

  63. [63]

    M., & Welch, B

    Lundqvist, E., Zackrisson, E., Hawcroft, C., Amarsi, A. M., & Welch, B. 2024, A&A, 690, A291, doi: 10.1051/0004-6361/202450403

  64. [64]

    2008, A&A, 482, 883, doi: 10.1051/0004-6361:20078467

    Marigo, P., Girardi, L., Bressan, A., et al. 2008, A&A, 482, 883, doi: 10.1051/0004-6361:20078467

  65. [65]

    , keywords =

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

  66. [66]

    McQuinn, K. B. W., Boyer, M., Skillman, E. D., & Dolphin, A. E. 2019, ApJ, 880, 63, doi: 10.3847/1538-4357/ab2627

  67. [67]

    K., Zitrin, A., Jim´ enez-Teja, Y., et al

    Meena, A. K., Zitrin, A., Jim´ enez-Teja, Y., et al. 2023a, ApJL, 944, L6, doi: 10.3847/2041-8213/acb645

  68. [68]

    K., Chen, W., Zitrin, A., et al

    Meena, A. K., Chen, W., Zitrin, A., et al. 2023b, MNRAS, 521, 5224, doi: 10.1093/mnras/stad869

  69. [69]

    K., Li, S

    Meena, A. K., Li, S. K., Zitrin, A., et al. 2025, A&A, 699, A299, doi: 10.1051/0004-6361/202555023

  70. [70]

    1991, ApJ, 379, 94, doi: 10.1086/170486

    Miralda-Escude, J. 1991, ApJ, 379, 94, doi: 10.1086/170486

  71. [71]

    2014, MNRAS, 438, 1417, doi: 10.1093/mnras/stt2284 16

    Monna, A., Seitz, S., Greisel, N., et al. 2014, MNRAS, 438, 1417, doi: 10.1093/mnras/stt2284 16

  72. [72]

    1986, ApJ, 305, 591, doi: 10.1086/164273

    Mould, J., & Kristian, J. 1986, ApJ, 305, 591, doi: 10.1086/164273

  73. [73]

    2025, A&A, 693, A116, doi: 10.1051/0004-6361/202451153

    Nabizadeh, A., Zackrisson, E., Lundqvist, E., et al. 2025, A&A, 693, A116, doi: 10.1051/0004-6361/202451153

  74. [74]

    Ofek, E. O. 2014, MAAT: MATLAB Astronomy and Astrophysics Toolbox,, Astrophysics Source Code Library, record ascl:1407.005 http://ascl.net/1407.005

  75. [75]

    , keywords =

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

  76. [76]

    M., Diego, J

    Palencia, J. M., Diego, J. M., Kavanagh, B. J., & Mart´ ınez-Arrizabalaga, J. 2024, A&A, 687, A81, doi: 10.1051/0004-6361/202347492

  77. [77]

    2012, ApJS, 199, 25, doi: 10.1088/0067-0049/199/2/25

    Postman, M., Coe, D., Ben´ ıtez, N., et al. 2012, ApJS, 199, 25, doi: 10.1088/0067-0049/199/2/25

  78. [78]

    The Astronomical Journal , author =

    Price-Whelan, A. M., Sip˝ ocz, B. M., G¨ unther, H. M., et al. 2018, AJ, 156, 123, doi: 10.3847/1538-3881/aabc4f

  79. [79]

    2021, A&A, 646, A83, doi: 10.1051/0004-6361/202039462

    Richard, J., Claeyssens, A., Lagattuta, D., et al. 2021, A&A, 646, A83, doi: 10.1051/0004-6361/202039462

  80. [80]

    J., Kelly, D

    Rieke, M. J., Kelly, D. M., Misselt, K., et al. 2023, PASP, 135, 028001, doi: 10.1088/1538-3873/acac53

Showing first 80 references.