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Origins of Carbon Dust in a JWST-Observed Primeval Galaxy at $z\sim$6.7

T0 review · 4 major / 5 minor · reviewed 2026-08-15 · deepseek-v4-flash

Pith's one-line read A primeval galaxy's UV bump can be explained by two dust-formation pathways: rapid ISM accretion or supernova-dominated dust production.

desk verdict Serious modeling case study showing AGB and shattering alone cannot supply the dust; the two-pathway PAH claim is conditional on a ~95 Å bump offset and an extrapolated local PAH scaling. read the letter →

arxiv 2505.10701 v1 pith:EP2XIFUB submitted 2025-05-15 astro-ph.GA

classification astro-ph.GA
keywords cosmicdustpolycyclicaromatichydrocarbonsJADES-GS-z6-0high-redshiftgalaxiesUVextinctionbumpchemicalevolutionaccretionTypeIIsupernovae
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 paper asks how a galaxy seen only about 800 million years after the Big Bang already contains enough hydrocarbon dust to produce a strong 2175 angstrom absorption bump, comparable to what is seen in the Milky Way. Using a chemical evolution model coupled to radiative transfer, the authors try to reproduce JADES-GS-z6-0's observed UV slope, Balmer decrement, and UV bump simultaneously. They find two viable routes: either dust grows efficiently by accretion in the interstellar medium (with only roughly 10% of metals condensing in supernova ejecta), or Type II supernovae themselves produce nearly all of the dust (with about 73% condensation) and no ISM growth is needed. They also show that asymptotic giant branch stars or the shattering of large grains alone cannot supply the required PAH mass. If correct, the result means the early universe can build carbonaceous dust and PAHs remarkably fast, and the UV bump can be used as a probe of dust enrichment at cosmic dawn.

What carries the argument

The machinery is a closed-box chemical evolution model (the P\'egase.3 code, following Dwek 1998) that tracks metals and dust injected by supernovae and AGB stars, destroyed by supernova shocks, and grown by accretion in the ISM, coupled to three-dimensional radiative transfer with radmc-3d. The PAH abundance is set by an empirical scaling with metallicity (Galliano et al. 2021, Eq. 1), varied within the local-galaxy scatter to match the UV bump; the model then compares the required PAH mass against the amounts each channel can produce, and also tests shattering of large grains using the prescriptions of Seok et al. (2014).

What would settle it

Measure the 3.3 micron PAH emission feature and an independent gas-phase metallicity in JADES-GS-z6-0 with JWST; if the observed PAH fraction deviates from the extrapolated local scaling beyond the assumed scatter, the target abundance and the inferred need for ISM growth or supernova dust would shift. A strong upper limit on the 3.3 micron feature would also challenge the identification of the UV bump with PAHs.

Watch

Extended reading notes

Core claim

The central claim is that the observed UV bump in JADES-GS-z6-0, interpreted as PAH absorption, constrains the dust production channels in this primeval galaxy. The model that reproduces the full spectrum requires either (a) ISM grain growth with a low supernova condensation efficiency ($f_{\rm SN} \sim 10\%$), where growth contributes about 85% of the carbon dust and roughly two-thirds of the carbon injected by stars and AGB stars must be injected as PAHs, or (b) no ISM growth and a high supernova condensation fraction (about 73%), with Type II supernovae alone providing the needed carbon. In both cases, AGB stars contribute at most a minor share of the carbon, and shattering of large grains in the ISM produces far less PAH mass than is observed. The paper also derives a star-formation history with a burst at roughly 600 Myr that forms about 30% of the final stellar mass, which is needed to reproduce the steep UV slope.

Load-bearing premise

The empirical scaling between PAH mass and metallicity measured in local galaxies (Eq. 1, Galliano et al. 2021) is assumed to hold at $z\approx6.7$; the required PAH mass, and hence the comparison between production channels, changes if early galaxies follow a different scaling.

Editorial extensions

If this is right

  • If the two-pathway conclusion holds, JADES-GS-z6-0 is evidence that carbonaceous grains and PAHs can form within the first roughly 800 million years of cosmic time, implying very early metal enrichment.
  • The derived dust-to-gas ratio of about $5\times10^{-4}$ and the predicted rest-frame 1.2 mm flux of roughly 0.6 microjansky give ALMA a concrete target: a detection would refine the dust mass, while a stronger upper limit would challenge the models.
  • Because AGB stars cannot dominate PAH production in this galaxy, the search for early carbon dust shifts toward supernova yields and ISM accretion physics.
  • The bursty star-formation history, with about 30% of the stellar mass formed in a recent burst, predicts a steep UV slope and places JADES-GS-z6-0 in a post-burst phase; this predicts that similar JWST-discovered galaxies with strong UV bumps should also show young, bursty populations.

Reading between the lines

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

  • If the local PAH-metallicity relation holds at $z\sim6.7$, the strength of the UV bump in other JWST galaxies could be converted directly into a PAH mass and hence a lower limit on dust enrichment, turning the bump into a cosmic metallicity probe.
  • The two pathways might be distinguished by future observations of the 3.3 micron PAH emission feature at high redshift, because accretion-dominated and supernova-dominated scenarios may yield different PAH size distributions or ionization states.
  • The closed-box assumption is a strong premise; if outflows remove metals, the required condensation efficiencies would shift, and comparing the model with measured metallicities in the circumgalactic medium could test that premise.
  • The authors note that both models overpredict the UV slope at $z\sim9$; interpreting this as evidence for multiple bursts suggests that JWST samples may be biased toward bursty, young galaxies, which could be tested with larger samples of UV-slope measurements.
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Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, and a circularity audit.

Referee Report

4 major / 5 minor

Summary. This paper models the dust and chemical evolution of the z≈6.7 galaxy JADES-GS-z6-0 with the Pégase.3 chemical evolution code coupled to radmc-3d radiative transfer. The authors adopt a delayed-plus-burst star formation history with a burst at ~600 Myr and a closed-box gas reservoir, and compute dust attenuation and nebular lines self-consistently. They report two scenarios that reproduce the observed Hα/Hβ ratio, UV continuum slope, and UV bump: one with ISM dust accretion and a Type II SN metal depletion fraction f_SN≈10%, and one without ISM growth requiring f_SN≈73%. The PAH abundance is set through the local empirical Galliano et al. (2021) scaling with metallicity, varying within its 95% scatter. Using the PAH mass required to match the UV bump as a target, the paper argues that AGB stars alone and shattering of large grains alone cannot produce enough PAHs, and that either ISM growth or efficient SN dust production is needed. The paper also compares the predicted evolution of the UV slope with JWST measurements at higher redshifts.

Significance. If the central inference is robust, the paper provides an interesting constraint on dust formation channels at z≈6.7, a regime where JWST is only beginning to probe grain properties. The authors should be credited for a self-consistent chemical evolution plus radiative transfer framework, for explicitly testing multiple SN and AGB yield combinations, and for checking the predicted 1.2 mm flux against the ALMA non-detection. The conclusion that AGB stars alone cannot explain the UV bump is a useful and falsifiable statement. However, the significance is currently limited by the fact that the PAH abundance—the quantity that drives the production-channel comparison—is not independently predicted but is tuned to the UV bump via an extrapolated local scaling, and by the acknowledged ~95 Å offset between the modeled and observed bump peak. The two-pathway dichotomy is an interesting hypothesis but needs a sensitivity analysis before it can be considered established.

major comments (4)
  1. [§2.1, Eq. (1)] The PAH abundance used as the target for the production-channel comparison is not an independent prediction. Equation (1) is an empirical local relation from Galliano et al. (2021), and the paper varies the exponent within the 95% scatter of local sources to reproduce the UV bump. This makes the later conclusion in §3.2 that specific channels are required partially circular: the model is being asked to produce a PAH fraction that was chosen to match the bump. The authors should quantify how the required f_SN and the PAH production fractions change if the exponent is varied outside this range, or if the PAH–Z scaling takes a different form at high redshift. Without this, the central two-pathway result is contingent on an untested extrapolation.
  2. [Table 2, §3.1.1] The modeled UV bump peaks at 2168–2169 Å, while the observed feature is at 2263(+20,−24) Å; this is a ~95 Å offset, far outside the quoted uncertainty. Since the UV bump is the only direct PAH diagnostic used in the paper, the PAH mass inferred from the bump amplitude depends on the assumed PAH absorption cross-section at the observed wavelengths. The authors acknowledge the shift but do not assess how it affects the required PAH mass. I ask them to repeat the fitting with a PAH opacity that reproduces the 2263 Å feature (e.g., the Lin et al. 2025 mixture) and report whether the inferred PAH fraction, and hence the f_SN dichotomy in §3.2, changes by a significant factor.
  3. [§2.6, §3.1.1] The [OIII] λλ4959,5008 lines are excluded from the χ² because the models underpredict them by a factor of 1.3–1.4, and the authors invoke a harder radiation field, an AGN, or Wolf-Rayet stars as a possible explanation. This is a substantial missing constraint: the SFH parameters (f_burst, f_LyC,gas) are tuned without the oxygen lines, but the same missing ionizing sources could affect the Balmer lines and the dust heating, and therefore the derived physical parameters in Table 2. Please report the observed and predicted [OIII] fluxes for the best-fitting models, and assess whether including an additional ionizing component in the fit would shift f_burst or f_SN enough to affect the production-channel conclusions.
  4. [Table 2, §3.1.1] The derived stellar mass is ~7.8×10^8 M☉, about eight times the literature value of ~1.0×10^8 M☉ from Witstok et al. (2023), and the mass-averaged age is 293 Myr versus 18 Myr. The authors attribute this to the assumed extended SFH and different attenuation law, but this large discrepancy signals a degeneracy between SFH, attenuation, and stellar mass. The subsequent conclusions depend on the adopted old, massive solution. The paper should demonstrate that a younger, lower-mass solution with a different dust distribution cannot also reproduce the UV slope, Balmer decrement, and bump, or should explicitly state how the conclusions would change if the Witstok et al. stellar mass were forced as a prior.
minor comments (5)
  1. [Abstract] The abstract refers to 'hydrocarbon grains' while the model specifically treats PAHs as the bump carriers; consider aligning the terminology with the model assumptions.
  2. [§2.2] The statement that the galaxy forms at z_form≈17 and has an age of ≈600 Myr at z≈6.7 should clarify whether 'age' means time since the onset of star formation or cosmic age; the distinction matters for the delayed SFH parameterization.
  3. [§3.2, Fig. 2] The magenta curves in Figure 2 are described as the evolution of PAHs 'which does not include growth and injection from stellar sources,' but the text also says they include shattering; please state explicitly which processes (accretion, coagulation, destruction, shattering) are and are not included in those curves.
  4. [§3.2] The sentence 'approximately 67% of the total carbon dust produced by SNe and AGB stars must be injected as PAHs' is ambiguous: it could mean the fraction of carbon dust mass that must be in PAH form, or the fraction of the carbon yield injected as PAHs. Please rephrase for clarity.
  5. [Eq. (7)] The King-profile fit parameters are given as Σ0≈9×10^-26 mag/arcsec^2; this appears to be a surface brightness, and the units should be checked (mag/arcsec^2 is typically logarithmic).

Circularity Check

1 steps flagged · score 5.0 of 10

PAH mass 'required' by the UV bump is imported from the Galliano et al. (2021) empirical relation (Eq. 1) and then used as the target for the production-channel comparison; the modeled bump peaks at 2168–2169 Å, not the observed 2263 Å.

  1. fitted input called prediction [Section 2.1 (Eq. 1), Section 3.1.1, Section 3.2]
    "We set the PAHs abundance to be proportional to the metallicity following the empirical relation by Galliano et al. (2021): mPAHs = 0.45×10^{−9.001+0.9486×(12+log OISM/HISM)} Mdust, (1) ... We vary the value of mPAHs between a minimum and maximum value that includes 95% of the sources in Galliano et al. (2021). ... The abundance of PAHs required to match the observed UV bump is ∼4% of the total dust mass, which is consistent with the upper limit of PAH abundance observed in local galaxies (Galliano et al. 2021) at a given metallicity value."

    The 'required' PAH mass is not derived from an independent fit to the 2263 Å bump; it is set by Eq. 1, an empirical local calibration, scaled to the model metallicity, with the exponent allowed to slide within the local 95% scatter. The same quantity is then used in Sec. 3.2 as the target against which AGB, SN, shattering, and ISM growth contributions are judged, e.g., 'approximately 67% of the total carbon dust produced by SNe and AGB stars must be injected as PAHs.' The PAH-specific conclusion is therefore conditioned on the assumed Galliano et al. relation rather than on a first-principles reproduction of the UV bump.

full rationale

The paper's core spectral 'reproductions' are parameter fits: the SFH (burst at 594 Myr, f_burst ~30%), f_LyC,gas, and f_SN are chosen to match the UV slope, Balmer decrement, and line ratios, and the abstract openly says 'the match is obtained by adopting a star-formation history...'. Fitting a model to data is not circular. The circularity concern is narrower and specific to the PAH benchmark. In Sec. 2.1, the PAH mass is defined by Eq. 1, the Galliano et al. (2021) local empirical PAH-metallicity relation, with the exponent allowed to vary within the local 95% scatter. Sec. 3.1.1 then reports the 'abundance of PAHs required to match the observed UV bump' as ~4% of dust mass, and Sec. 3.2 uses exactly this number as the reference against which AGB stars, SNe, shattering, and ISM growth are compared. Because the 4% figure is an input, namely Eq. 1 evaluated at the model metallicity on the upper edge of the scatter, rather than an independent output of fitting the 2263 Å feature, the PAH production-channel comparison reduces in part to the assumed input relation. This is aggravated by the acknowledged wavelength mismatch: Table 2 lists modeled bump peaks of 2168–2169 Å versus the observed 2263^{+20}_{−24} Å, so the model is not actually matching the peak of the observed feature. The robust, less circular part of the paper is the demonstration that AGB dust alone cannot supply enough extinction to reach Hα/Hβ > 3.6, which does not depend on Eq. 1. I find no load-bearing self-citation circularity; citations to the authors' earlier work are supporting comparisons, not uniqueness constraints. Overall, this is partial circularity in the PAH target rather than a fully self-referential derivation, so a score of 5 is appropriate.

Assumptions & free parameters 8 free parameters · 7 assumptions · 0 invented entities

The model rests on several external prescriptions (stellar yields, dust timescales, PAH scaling, geometry) and two data-calibrated inputs (initial gas mass, PAH exponent range). No new entities are introduced. The main burden is transferring local empirical relations and timescales to z~6.7.

free parameters (8)
  • f_SN (Type II/Ia supernova depletion fraction) = 10% (with ISM growth), 73% (without growth)
    Fitted in the MCMC grid; the two best-fit values define the two proposed dust-production pathways.
  • f_burst (burst mass fraction) = 30% (with growth), 24% (without growth)
    Grid parameter that sets the strength of the recent starburst needed to match the UV slope.
  • f_LyC,gas (fraction of LyC photons absorbed by gas) = 39% (with growth), 27% (without growth)
    Tuned to reproduce H-alpha/H-beta; also affects the nebular spectrum.
  • M_star,fin (final stellar mass) = 7.8e8 M_sun (with growth), 7.4e8 M_sun (without growth)
    Stellar mass normalization fitted to the observed continuum flux.
  • M_gas,ini (initial gas mass) = 12 x M_star,fin
    Chosen so the model ends at the observed gas-phase metallicity Z_neb ~0.2 Z_sun; a data-calibrated input.
  • tau (delayed SFH e-folding time) = 100 Myr
    Fixed by hand to reproduce the spectrum; not derived from data.
  • tau_burst (burst e-folding time) = 10 Myr
    Fixed by hand; controls burst duration.
  • PAH scaling exponent offset = range [-0.36, +0.20] dex added to Eq. 1
    The UV bump is matched by moving the PAH mass fraction within the local-galaxy empirical scatter; this is the effective free parameter for the bump strength.
assumptions (7)
  • domain assumption The Galliano et al. (2021) empirical PAH-dust scaling (Eq. 1) applies at z~6.7 and low metallicity.
    Sets the PAH abundance target; if the local relation does not hold at high z, the inferred required PAH mass and production-channel conclusions change. This is the weakest assumption.
  • domain assumption Closed-box chemical evolution with no galactic outflows.
    Outflows would remove metals and dust and alter the dust-to-gas ratio; the authors motivate this by local dwarf galaxy mass-loading factors close to zero, but the assumption is not tested at z~6.7.
  • domain assumption Dust destruction and accretion timescales follow Asano et al. (2013) with n_SN = 1 cm^-3 (Eqs. 2-3).
    The balance between destruction and growth determines whether the low-f_SN or high-f_SN pathway is viable.
  • domain assumption Portinari et al. (1998) SNII yields and Marigo (2001) AGB yields maximize carbon return from AGB stars.
    The authors deliberately select the yield combination giving the most AGB carbon (verified with omega), so the AGB insufficiency conclusion is an upper-limit statement.
  • domain assumption The dust spatial distribution scales with the stellar King profile with alpha_dust = 0.8 alpha_stars, based on local dwarf galaxies (Romano et al. 2024).
    The attenuation and the bump strength depend on the dust geometry; applying local scaling to a z~6.7 galaxy is unverified.
  • ad hoc to paper Massive-star (Wolf-Rayet) winds are neglected as dust sources.
    The paper explicitly omits WR dust despite citing WR as a possible source of the hard radiation field; this omission narrows the proposed two-pathway dichotomy.
  • domain assumption PAHs are the carriers of the UV bump.
    The model uses PAH absorption coefficients to create the bump; the carrier identification is inherited from prior work (Li et al. 2024, Lin et al. 2025), not tested here.

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Pith. "Pith review of Origins of Carbon Dust in a JWST-Observed Primeval Galaxy at $z\sim$6.7." pith.science (2026). https://pith.science/paper/EP2XIFUB

@misc{pith2026250510701,
  author       = {Pith},
  title        = {Pith review of: Origins of Carbon Dust in a JWST-Observed Primeval Galaxy at $z\sim$6.7},
  year         = {2026},
  howpublished = {\url{https://pith.science/paper/EP2XIFUB}},
  note         = {Machine review of arXiv:2505.10701}
}
abstract

JADES-GS-z6-0, a high-redshift galaxy ($z \sim 6.7$) recently observed as part of the James Webb Space Telescope (JWST) Advanced Deep Extragalactic Survey (JADES), exhibits a distinct bump in its rest-frame ultraviolet (UV) spectrum indicative of a large quantity of hydrocarbon grains, a sign of rapid metal and dust enrichment in its interstellar medium (ISM). This galaxy serves as an ideal case for examining rapid dust formation processes in the early universe. We investigated diverse dust production channels from a possible maximal formation redshift of $z_{\rm form} \approx 17$, enabling dust contributions from asymptotic giant branch (AGB) stars over the longest possible timescale. Our model simultaneously reproduces key spectral features of JADES-GS-z6-0 such as its Balmer decrement, UV slope, and UV bump. The match is obtained by adopting a star-formation history in which a burst at $\sim 600$~Myr accounts for approximately 30\% of the galaxy's final stellar mass. Our findings indicate two pathways for the formation of hydrocarbon grains, such as polycyclic aromatic hydrocarbons (PAHs): (1) efficient dust accretion within the ISM, necessitating a low depletion of metals into dust grains from Type II supernovae ($\approx 10$\%), or (2) dust production predominantly by Type II supernovae, requiring a high depletion fraction ($\approx 73$\%) without dust accretion. We further demonstrate that PAHs are unlikely to originate solely from AGB stars or from shattering of large grains in the ISM. The evolution of the UV slope with redshift points to a complex and bursty star formation history for galaxies observed by JADES.

Figures

Figures reproduced from arXiv: 2505.10701 by the authors.

Figure 1
Figure 1. Comparison between the observed spectrum of JADES-GS-z6-0 (black points with uncertainties) and the best-fit predicted spectrum from self-consistent chemical evolution of the ISM: (left panel) spectrum predicted with fburst = 30%, fSN = 10%, M∗ = 8 × 108 M⊙ and dust growth in the ISM (red curve); (right panel) spectrum predicted with fburst = 25%, fSN = 75%, M∗ = 9 × 108 M⊙ and no dust growth in the ISM (blue curve)… view at source ↗
Figure 2
Figure 2. Left panel: Time evolution normalised mass of the PAHs needed to reproduce the UV bump (black line) for the same scenario of dust evolution as in [PITH_FULL_IMAGE:figures/full_fig_p009_2.png] view at source ↗
Figure 3
Figure 3. Redshift evolution of galaxy UV slope (β) estimated for distant galaxies observed with JWST. The green symbols represent median values of a sample from Saxena et al. (2024); error bars correspond to the observed scatter in the data. Over-plotted are predictions from our two best models that reproduce the β slope at the redshift of JADES-GS-z6-0. Modeled tracks with/without ISM growth included are showed with the red… view at source ↗

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

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Works this paper leans on

67 extracted references · 12 canonical work pages · cited by 1 Pith paper

  1. [1]

    "V d˺q | w] 3 N! B ! L]! BF ! B @ B !HA ! B @ B !HA ! B @ B !HA ! B @ B !HA ! B @J!<<ӧSN pvvQF̛7lwh4g.W\1 B !DvXɍ 7hժ ׯ_ Ύ cݻbŊe /^< ! &5HOӥK _ !22(6l؀#O歷u6mJPPPqސ B !M ֬Yùsؼy3/

    thebibliography [1] 20pt to REFERENCES 6pt =0pt \@twocolumntrue 12pt -12pt 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 o...

  2. [2]

    S., Takeuchi , T

    Asano , R. S., Takeuchi , T. T., Hirashita , H., & Inoue , A. K. 2013, EPS, 65, 213, 10.5047/eps.2012.04.014

  3. [3]

    M., & Grevesse , N

    Asplund , M., Amarsi , A. M., & Grevesse , N. 2021, , 653, A141, 10.1051/0004-6361/202140445

  4. [4]

    M., Lim , P

    Astropy Collaboration , Price-Whelan , A. M., Lim , P. L., et al. 2022, , 935, 167, 10.3847/1538-4357/ac7c74

  5. [5]

    1993, , 100, 647

    Bressan , A., Fagotto , F., Bertelli , G., & Chiosi , C. 1993, , 100, 647

  6. [6]

    2020, , 637, A32, 10.1051/0004-6361/201937143

    Burgarella , D., Nanni , A., Hirashita , H., et al. 2020, , 637, A32, 10.1051/0004-6361/201937143

  7. [7]

    2015, , 808, 158, 10.1088/0004-637X/808/2/158

    Burkert , A. 2015, , 808, 158, 10.1088/0004-637X/808/2/158

  8. [8]

    2018, , 476, 1371, 10.1093/mnras/sty313

    Ceccarelli , C., Viti , S., Balucani , N., & Taquet , V. 2018, , 476, 1371, 10.1093/mnras/sty313

Show all 67 references
  1. [9]

    2003, , 115, 763, 10.1086/376392

    Chabrier , G. 2003, , 115, 763, 10.1086/376392

  2. [10]

    C \^o t \'e , B., O'Shea , W., Ritter , C., Herwig , F., & Venn , K. A. 2017, , 835, 128, 10.3847/1538-4357/835/2/128

  3. [11]

    2015, , 219, 40, 10.1088/0067-0049/219/2/40

    Cristallo , S., Straniero , O., Piersanti , L., & Gobrecht , D. 2015, , 219, 40, 10.1088/0067-0049/219/2/40

  4. [12]

    2020, , 496, 3668, 10.1093/mnras/staa1496

    De Looze , I., Lamperti , I., Saintonge , A., et al. 2020, , 496, 3668, 10.1093/mnras/staa1496

  5. [13]

    2024, , 689, A152, 10.1051/0004-6361/202348636

    D'Eugenio , F., Maiolino , R., Carniani , S., et al. 2024, , 689, A152, 10.1051/0004-6361/202348636

  6. [14]

    T., & Lee , H

    Draine , B. T., & Lee , H. M. 1984, , 285, 89, 10.1086/162480

  7. [15]

    T., & Li , A

    Draine , B. T., & Li , A. 2007, , 657, 810, 10.1086/511055

  8. [16]

    P., Juhasz , A., Pohl , A., et al

    Dullemond , C. P., Juhasz , A., Pohl , A., et al. 2012, RADMC-3D: A multi-purpose radiative transfer tool , Astrophysics Source Code Library, record ascl:1202.015

  9. [17]

    1998, , 501, 643, 10.1086/305829

    Dwek , E. 1998, , 501, 643, 10.1086/305829

  10. [18]

    J., Willott , C., Alberts , S., et al

    Eisenstein , D. J., Willott , C., Alberts , S., et al. 2023, arXiv e-prints, arXiv:2306.02465, 10.48550/arXiv.2306.02465

  11. [19]

    Elson , R. A. W. 1999, in Globular Clusters, ed. C. Mart \' nez Roger , I. Perez Fourn \'o n , & F. S \'a nchez , 209--248

  12. [20]

    1994 a , , 104, 365

    Fagotto , F., Bressan , A., Bertelli , G., & Chiosi , C. 1994 a , , 104, 365

  13. [21]

    1994 b , , 105, 29

    ---. 1994 b , , 105, 29

  14. [22]

    1994 c , , 105, 39

    ---. 1994 c , , 105, 39

  15. [23]

    J., Chatzikos , M., Guzm \'a n , F., et al

    Ferland , G. J., Chatzikos , M., Guzm \'a n , F., et al. 2017, , 53, 385, 10.48550/arXiv.1705.10877

  16. [24]

    2019, , 623, A143, 10.1051/0004-6361/201833556

    Fioc , M., & Rocca-Volmerange , B. 2019, , 623, A143, 10.1051/0004-6361/201833556

  17. [25]

    L., & Massa , D

    Fitzpatrick , E. L., & Massa , D. 1986, , 307, 286, 10.1086/164415

  18. [26]

    L., Belczynski , K., Wiktorowicz , G., et al

    Fryer , C. L., Belczynski , K., Wiktorowicz , G., et al. 2012, , 749, 91, 10.1088/0004-637X/749/1/91

  19. [27]

    2021, , 649, A18, 10.1051/0004-6361/202039701

    Galliano , F., Nersesian , A., Bianchi , S., et al. 2021, , 649, A18, 10.1051/0004-6361/202039701

  20. [28]

    2022, , 666, L5, 10.1051/0004-6361/202244806

    Garc \' a-Bernete , I., Rigopoulou , D., Alonso-Herrero , A., et al. 2022, , 666, L5, 10.1051/0004-6361/202244806

  21. [29]

    1996, , 117, 113

    Girardi , L., Bressan , A., Chiosi , C., Bertelli , G., & Nasi , E. 1996, , 117, 113

  22. [30]

    K., Shimizu , I., Iwata , I., & Tanaka , M

    Inoue , A. K., Shimizu , I., Iwata , I., & Tanaka , M. 2014, , 442, 1805, 10.1093/mnras/stu936

  23. [31]

    Karakas , A. I. 2010, , 403, 1413, 10.1111/j.1365-2966.2009.16198.x

  24. [32]

    2006, , 653, 1145, 10.1086/508914

    Kobayashi , C., Umeda , H., Nomoto , K., Tominaga , N., & Ohkubo , T. 2006, , 653, 1145, 10.1086/508914

  25. [33]

    Kurucz , R. L. 1979, , 40, 1, 10.1086/190589

  26. [34]

    Laor , A., & Draine , B. T. 1993, , 402, 441, 10.1086/172149

  27. [35]

    Li , A., & Draine , B. T. 2001, , 554, 778, 10.1086/323147

  28. [36]

    J., & Li , A

    Li , Q., Yang , X. J., & Li , A. 2024, , 535, L58, 10.1093/mnrasl/slae095

  29. [37]

    2018, , 237, 13, 10.3847/1538-4365/aacb24

    Limongi , M., & Chieffi , A. 2018, , 237, 13, 10.3847/1538-4365/aacb24

  30. [38]

    2025, arXiv e-prints, arXiv:2502.08113

    Lin , Q., Yang , X., Li , A., & Witstok , J. 2025, arXiv e-prints, arXiv:2502.08113. 2502.08113

  31. [39]

    J., & Li , A

    Lin , Q., Yang , X. J., & Li , A. 2023, , 525, 2380, 10.1093/mnras/stad2405

  32. [40]

    C., R \'e my-Ruyer , A., Galametz , M., et al

    Madden , S. C., R \'e my-Ruyer , A., Galametz , M., et al. 2013, , 125, 600, 10.1086/671138

  33. [41]

    2001, , 370, 194, 10.1051/0004-6361:20000247

    Marigo , P. 2001, , 370, 194, 10.1051/0004-6361:20000247

  34. [42]

    2024, arXiv e-prints, arXiv:2402.05996, 10.48550/arXiv.2402.05996

    Markov , V., Gallerani , S., Ferrara , A., et al. 2024, arXiv e-prints, arXiv:2402.05996, 10.48550/arXiv.2402.05996

  35. [43]

    Mathis , J. S. 1994, , 422, 176, 10.1086/173715

  36. [44]

    M., Wiklind , T., & Eufrasio , R

    Moti \ n o Flores , S. M., Wiklind , T., & Eufrasio , R. T. 2021, , 921, 130, 10.3847/1538-4357/ac18cc

  37. [45]

    2013, , 434, 2390, 10.1093/mnras/stt1175

    Nanni , A., Bressan , A., Marigo , P., & Girardi , L. 2013, , 434, 2390, 10.1093/mnras/stt1175

  38. [46]

    2020, , 641, A168, 10.1051/0004-6361/202037833

    Nanni , A., Burgarella , D., Theul \'e , P., C \^o t \'e , B., & Hirashita , H. 2020, , 641, A168, 10.1051/0004-6361/202037833

  39. [47]

    P., Finkelstein , S

    Narayanan , D., Stark , D. P., Finkelstein , S. L., et al. 2024, arXiv e-prints, arXiv:2408.13312, 10.48550/arXiv.2408.13312

  40. [48]

    2024, , 528, 2407, 10.1093/mnras/stae160

    Palla , M., De Looze , I., Rela \ n o , M., et al. 2024, , 528, 2407, 10.1093/mnras/stae160

  41. [49]

    D., Soummer , R., Elliott , E

    Perrin , M. D., Soummer , R., Elliott , E. M., Lallo , M. D., & Sivaramakrishnan , A. 2012, in Society of Photo-Optical Instrumentation Engineers (SPIE) Conference Series, Vol. 8442, Space Telescopes and Instrumentation 2012: Optical, Infrared, and Millimeter Wave, ed. M. C. C...

  42. [50]

    2020, , 641, A6, 10.1051/0004-6361/201833910

    Planck Collaboration , Aghanim , N., Akrami , Y., et al. 2020, , 641, A6, 10.1051/0004-6361/201833910

  43. [51]

    1998, , 334, 505, 10.48550/arXiv.astro-ph/9711337

    Portinari , L., Chiosi , C., & Bressan , A. 1998, , 334, 505, 10.48550/arXiv.astro-ph/9711337

  44. [52]

    2018, , 476, 3432, 10.1093/mnras/sty316

    Prantzos , N., Abia , C., Limongi , M., Chieffi , A., & Cristallo , S. 2018, , 476, 3432, 10.1093/mnras/sty316

  45. [53]

    D., De Looze , I., & Barlow , M

    Priestley , F. D., De Looze , I., & Barlow , M. J. 2021, , 502, 2438, 10.1093/mnras/stab122

  46. [54]

    2003, , 403, 709, 10.1051/0004-6361:20030412

    Rauch , T. 2003, , 403, 709, 10.1051/0004-6361:20030412

  47. [55]

    2018, , 480, 538, 10.1093/mnras/sty1729

    Ritter , C., Herwig , F., Jones , S., et al. 2018, , 480, 538, 10.1093/mnras/sty1729

  48. [56]

    2023, , 677, A44, 10.1051/0004-6361/202346143

    Romano , M., Nanni , A., Donevski , D., et al. 2023, , 677, A44, 10.1051/0004-6361/202346143

  49. [57]

    2024, , 683, L9, 10.1051/0004-6361/202349111

    Romano , M., Donevski , D., Junais , et al. 2024, , 683, L9, 10.1051/0004-6361/202349111

  50. [58]

    A., Krebsz , M., & Henning , T

    Rouill \'e , G., J \"a ger , C., Krasnokutski , S. A., Krebsz , M., & Henning , T. 2015, arXiv e-prints, arXiv:1502.00388. 1502.00388

  51. [59]

    2024, arXiv e-prints, arXiv:2412.02505, 10.48550/arXiv.2412.02505

    Sawant , P., Nanni , A., Romano , M., et al. 2024, arXiv e-prints, arXiv:2412.02505, 10.48550/arXiv.2412.02505

  52. [60]

    J., Katz , H., et al

    Saxena , A., Cameron , A. J., Katz , H., et al. 2024, arXiv e-prints, arXiv:2411.14532, 10.48550/arXiv.2411.14532

  53. [61]

    Y., Hirashita , H., & Asano , R

    Seok , J. Y., Hirashita , H., & Asano , R. S. 2014, , 439, 2186, 10.1093/mnras/stu120

  54. [62]

    2022, , 928, 68, 10.3847/1538-4357/ac54a9

    Shivaei , I., Popping , G., Rieke , G., et al. 2022, , 928, 68, 10.3847/1538-4357/ac54a9

  55. [63]

    D., Schneider , R., et al

    Ventura , P., Criscienzo , M. D., Schneider , R., et al. 2012, , 424, 2345, 10.1111/j.1365-2966.2012.21403.x

  56. [64]

    C., & Draine , B

    Weingartner , J. C., & Draine , B. T. 2001, , 548, 296, 10.1086/318651

  57. [65]

    2002, , 381, 524, 10.1051/0004-6361:20011493

    Westera , P., Lejeune , T., Buser , R., Cuisinier , F., & Bruzual , G. 2002, , 381, 524, 10.1051/0004-6361:20011493

  58. [66]

    2023, , 621, 267, 10.1038/s41586-023-06413-w

    Witstok , J., Shivaei , I., Smit , R., et al. 2023, , 621, 267, 10.1038/s41586-023-06413-w

  59. [67]

    2025, Interstellar dust revealed by light from cosmic dawn

    Yang, X., & Li, A. 2025, Interstellar dust revealed by light from cosmic dawn. 2502.08111

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