REVIEW 3 major objections 5 minor 99 references
A broad HeII line in a metal-poor dwarf galaxy points to fast radiative shocks, not stars or an AGN.
Reviewed by Pith at T0; open to challenge. T0 means a machine referee read the full paper against a public rubric. the ladder, T0–T4 →
In CGCG 007-025, high-resolution spectroscopy resolves a kinematically distinct, asymmetric HeII line and line ratios that imply fast radiative shocks at 250-300 km/s, and shows the claimed [FeX] coronal detection is a SiII line.
T0 review reviewed 2026-08-05 challenge →
load-bearing objection Strong high-resolution dataset; shock claim rests on under-documented HeII component attribution. the 3 major comments →
Shocks and complex chemodynamics in the metal-poor starburst galaxy CGCG 007-025 revealed through high-resolution echelle spectroscopy
The pith
A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.
The reading
Core claim
The paper argues that the HeII λ4686 emission in the brightest star-forming region of CGCG 007-025 originates in the precursor of a fast radiative shock, with shock velocity constrained to 250–300 km/s. The argument uses the fact that HeII is resolved as a single wide component with σ≈33–35 km/s, matching the intermediate kinematic component of Hβ and [OIII], and that the intermediate-component ratios HeII/Hβ=0.13±0.01 and [OIII]/Hβ=6.3±0.3, combined with a non-detection of [NeV] λ3426, are reproduced only by precursor-only shock models at SMC metallicity. The same high-resolution data also resolve the 6371 Å feature previously reported as coronal [FeX]; the authors identify it as the SiII λ
What carries the argument
The load-bearing tool is high-resolution echelle spectroscopy (R≈40,000) combined with multi-Gaussian decomposition of each emission line into narrow (σ≈14 km/s), intermediate (σ≈37 km/s), broad (σ≈200 km/s), and sometimes secondary narrow components. The HeII flux is assigned to the intermediate kinematic component, and the line ratios of that component are compared against the shock-plus-precursor models of Allen et al. (2008). The two-region ionisation model used for chemical abundances treats a low-ionisation zone (O+, N+, S+, S2+, Ar2+) and a high-ionisation zone (O2+, Ne2+, Ar3+), with direct-method electron temperatures from [OIII] λ4363, [SIII] λ6312, and related auroral lines.
Load-bearing premise
The HeII line is assumed to come from the same intermediate kinematic component used to measure Hβ and [OIII], so the HeII/Hβ ratio that selects the shock velocity depends on that assignment; if HeII arises in a separate gas phase, the ratio and the inferred shock speed would change.
What would settle it
A deeper, high-resolution spectrum that detects the predicted broad pedestal (σ≈300–1000 km/s) of Hβ or [OIII] and finds it absent would contradict the fast-shock scenario, as would a resolved measurement showing HeII following the narrow (σ≈14 km/s) component velocities instead of the intermediate component. A positive detection of [NeV] λ3426 in the intermediate component at a level consistent with the shock models would also falsify the precursor-only match.
If this is right
- Lower-resolution measurements of CGCG 007-025, which yield integrated HeII/Hβ=0.012±0.003, blend the kinematic components and obscure the shock signature; component-resolved spectroscopy is needed to identify ionisation mechanisms.
- The earlier claimed [FeX] λ6374 detection in this galaxy is reassigned to SiII λ6371, so the case for an intermediate-mass black hole in CGCG 007-025 is not supported by the echelle data.
- Fast radiative shocks should be considered a viable source of HeII emission in metal-poor starbursts, alongside Wolf-Rayet stars and X-ray binaries, especially when the line appears broadened or asymmetric.
- The direct-method abundances place the region at 12+log(O/H)=7.77±0.03, with log(S/O), log(Ar/O), and log(Ne/O) consistent with values in the Milky Way and Magellanic Clouds, reinforcing the view that alpha-element ratios are roughly constant across environments.
- The dataset demonstrates that echelle spectroscopy can disentangle multiple ionisation and kinematic components in local high-redshift analogues, providing a path to interpret unresolved JWST-era spectra of distant galaxies.
Where Pith is reading between the lines
- If fast shocks are common in low-metallicity starbursts, unresolved HeII-based diagnostics of stellar populations or AGN activity may systematically underestimate shock contributions; this can be tested by applying multi-component fitting to other echelle surveys of dwarf galaxies.
- The shock precursor model makes specific predictions for other intermediate-component line ratios, such as [OII]/Hβ and [NeIII]/Hβ, which could be checked against the same spectra to confirm the precursor identification.
- A deeper observation reaching the predicted broad shock pedestal (σ≈300–1000 km/s) in Hβ or [OIII] would provide a direct kinematic confirmation of the 250–300 km/s shock velocity, since the current data place that signature below the continuum noise.
- The secondary redshifted narrow component seen along the same line of sight may trace an outflow or a separate clump; if shock and outflow are related, spatially resolved velocity maps could link the shock speed to large-scale gas motions.
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. Using Magellan/MIKE echelle spectroscopy (R≈40,000, 3350–9410 Å) of the brightest star-forming region in CGCG 007-025, the authors simultaneously model 30 emission lines with a Bayesian two-zone ionization model. They derive electron densities and temperatures, a direct-method metallicity 12+log(O/H)=7.77±0.03, and metal-to-oxygen ratios (S/O, Ar/O, Ne/O, Fe/O) that largely agree with independent lower-resolution CLASSY measurements. The line profiles are decomposed into narrow, intermediate, and broad kinematic components, plus a redshifted secondary narrow component for the brightest lines. The central new claim is that HeII λ4686 is broad (σ≈33–35 km/s) and asymmetric, and that the intermediate-component ratios HeII/Hβ≈0.13 and [OIII]/Hβ≈6.3, together with the absence of [NeV] λ3426, match the precursor-only, SMC-metallicity radiative shock models of Allen et al. (2008), implying a shock velocity v_sh=250–300 km/s. The paper also argues that the previously reported [FeX] detection is a misidentification with SiII λ6371.
Significance. If the shock interpretation holds, the paper makes a strong case that high-resolution échelle spectroscopy can separate a shock precursor from the photoionized HII region in a metal-poor starburst, providing a natural explanation for strong HeII emission without invoking Wolf-Rayet stars, HMXBs, or an AGN/IMBH. The chemical abundance analysis is carefully cross-checked against previous MODS/LBT and MUSE results, and the agreement gives confidence in the data reduction and Bayesian fitting. The reinterpretation of the [FeX] line as SiII is a useful, concrete result. The main scientific value is therefore two-fold: a high-quality chemodynamical benchmark for a local high-redshift analogue, and a falsifiable shock/precursor interpretation that can be tested with similar observations. The latter claim is, however, currently not fully supported by the published fit tables, because the component attribution of the HeII flux is not documented at the same level as the Hβ decomposition.
major comments (3)
- [§4.1, §5.4, Table B1] The load-bearing ratio HeII/Hβ=0.13 is not supported by the published fit tables. Table B1 lists HeII λ4686 as a single Gaussian (flux 5.44±0.57, σ=0.51 Å), while Hβ is decomposed into narrow (397.05), intermediate (40.46), and secondary red components. The quoted 0.13 is simply 5.44/40.46, i.e. it assumes that all HeII flux belongs to the intermediate Hβ component. But §4.1 and Figure 4 state that the HeII profile is asymmetric and requires an additional redshifted Gaussian at ≈+55 km/s with σ≈20 km/s; the flux of this component is not given in any table. If that red excess is included in the 5.44 value, the numerator is not purely the intermediate-component HeII flux; if it is excluded, the decomposition is missing. Since the Allen+08 grid comparison is sensitive to factors of ~2 in HeII/Hβ (Fig. 6, top row), please provide the full HeII decomposition (core, red excess, and any narrow/
- [§5.4, Fig. 6] The exclusion of LMC/solar metallicities and of the shock and precursor+shock columns rests on the non-detection of [NeV] λ3426. The paper shows a hatched 3σ band in Fig. 6, but no numerical 3σ upper limit for [NeV]/Hβ is quoted in the text or in any table, and it is not stated explicitly that the limit applies to the intermediate kinematic component. To make the model-selection step reproducible, give the measured noise and the resulting 3σ upper limit on [NeV] λ3426/Hβ, and state which component it refers to. Without this quantitative limit, the claim that only the SMC-metallicity precursor branch matches the data is not fully documented.
- [§5.4, last two paragraphs] The paper argues that at v_sh=250–300 km/s the shock itself would produce line widths of 300–1000 km/s and is therefore lost in the continuum noise, while the observed σ≈35 km/s component is the precursor. This is a plausible two-phase interpretation, but no model prediction or reference-based estimate is given for the expected precursor line width, only a qualitative reference to Izotov et al. (2012). Since the same intermediate component is also used for the [OIII]/Hβ ratio, the reader should be able to check that the measured σ≈33–37 km/s for Hβ, [OIII], and HeII is consistent with a common precursor, rather than with an unrelated second photoionized component. A short quantitative comparison would materially strengthen the component attribution.
minor comments (5)
- [Abstract and §2] The abstract states R∼50,000 while §2.1 reports a measured resolution of 7.8–9.1 km/s (about R≈40,000). Please harmonize the resolving-power statement.
- [General] Typographical issues: 'histrograms' in the Figure 3 caption; 'Michgigan' in the second affiliation; 'CGCG 00-025' in §5.2 should read CGCG 007-025.
- [Fig. 6] The y-axis labels use 'HeII/H' and '[OIII]/H', but the text and caption refer to HeII/Hβ and [OIII]/Hβ. Use consistent notation.
- [Data availability] The data availability statement says the data are 'available in the article as tables.' It would be useful to state whether the reduced MIKE spectra will be deposited in a public archive, since the kinematic decomposition and the [NeV] limit would benefit from independent re-analysis.
- [Appendix A/B] The figure and table appendices are not numbered as separate items in the text; adding explicit references (e.g., 'Figure A1', 'Table B1') at first use would help the reader.
Circularity Check
No significant circularity: the shock interpretation is an external-model comparison against measured line ratios; self-citations are methodological and non-load-bearing.
full rationale
We find no circular derivation. The central claim—that HeII λ4686 in the brightest star-forming region originates from fast radiative shocks at 250–300 km/s—is an inference from measured emission-line ratios (HeII/Hβ=0.13±0.01, [OIII]/Hβ=6.3±0.3, and no [NeV] λ3426 detection) compared against the published, external MAPPINGS shock grid of Allen et al. (2008) in Sect. 5.4 and Fig. 6. The ratios are observed fluxes from Table B1; they are not fitted parameters, and the shock velocity is read from where the measured bands intersect the model curves, not solved from an equation that also defines the input. The kinematic attribution of HeII to the intermediate component is made on the measured line width (σ≈35 km/s versus σ_medium≈37 km/s; Sect. 4.1, Fig. 3) before any shock model is invoked. The only caveat is that the red-asymmetric excess of HeII (Sect. 4.1, Fig. 4) is not given a tabulated flux, so the numerator of the ratio rests on the assumption that the primary intermediate-width component carries the HeII flux used; this is a data-analysis robustness concern, not circularity, because it does not make the model output equivalent to the input. Self-citations (Fernández et al. 2018, 2019; Papers I and II) are used for the Bayesian abundance sampler, an ICF calibration, and comparison with MUSE data, but none is the load-bearing step for the shock conclusion; the abundance results are independently benchmarked against CLASSY/MODS (Arellano-Córdova et al. 2022a) and agree. No equation in the paper reduces to a fitted value or to an author-imported uniqueness condition.
Axiom & Free-Parameter Ledger
free parameters (5)
- T_low (low-ionisation zone temperature) =
15100 (+700/-500) K
- T_high (high-ionisation zone temperature) =
15900 (+500/-200) K
- n_e (electron density) =
250 (+60/-30) cm^-3
- c(Hbeta) extinction =
0.25 (+0.08/-0.07)
- Ionic abundances (O+, O2+, N+, S+, S2+, Ar2+, Ar3+, Ne2+, Fe2+, He+) =
see Table 3
axioms (5)
- standard math Atomic data and emissivities used in the Bayesian sampler are correct
- domain assumption Two-zone ionisation model assumption
- domain assumption Allen et al. (2008) shock models with B=0.5 μG and grids at SMC, LMC, solar metallicities are applicable to this region
- domain assumption ICF calibrations from Fernández et al. (2018) (Eq. 2) and Amayo et al. (2021) are valid for this object
- domain assumption The HeII 4686 line is kinematically a single component belonging to the intermediate component family
Cite this review
Pith. "Pith review of Shocks and complex chemodynamics in the metal-poor starburst galaxy CGCG 007-025 revealed through high-resolution echelle spectroscopy." pith.science (2026). https://pith.science/paper/5SKQVNYC
@misc{pith2026250818160,
author = {Pith},
title = {Pith review of: Shocks and complex chemodynamics in the metal-poor starburst galaxy CGCG 007-025 revealed through high-resolution echelle spectroscopy},
year = {2026},
howpublished = {\url{https://pith.science/paper/5SKQVNYC}},
note = {Machine review of arXiv:2508.18160}
}
abstract
We use Magellan/MIKE echelle spectroscopy to conduct an in-depth chemodynamical analysis of the most luminous star-forming region within the metal-poor starburst dwarf galaxy CGCG 007-025. Leveraging the exceptional high resolution (R$\sim$50,000) and broad wavelength coverage, we apply Bayesian inference to simultaneously model the fluxes of 30 emission lines spanning the wavelength range 3400-9200\AA. Employing a two-region ionisation model, we characterise various gas properties including electron temperature, electron density, and chemical abundances across different elements. Our direct-method inferred metallicity yields $\rm 12+\log(O/H)=7.77\pm0.03$, placing the galaxy in the metal-poor regime. Furthermore, Metal-to-Oxygen ratios such as log(S/O), log(Ne/O) or log(Ar/O) are in full agreement with the values derived for the Milky Way, consistent with expectations from stellar evolutionary models. The brightest emission lines are kinematically complex, with modelling requiring up to four distinct components. The exceptional resolution and signal-to-noise ratio of the data unveil asymmetric and wide ($\sigma_{HeII} \approx$ 35km/s) HeII$\lambda$4686 emission. The flux ratio of this nebular line, together with the absence of other high ionisation species such as [NeV]$\lambda$3426, indicates the presence of fast radiative shocks. This dataset underscores the capability of echelle spectroscopy in delivering comprehensive chemodynamical analyses of starbursts in the Local Volume.
Figures
Reference graph
Works this paper leans on
-
[1]
write newline
" write newline "" before.all 'output.state := FUNCTION fin.entry write newline FUNCTION new.block output.state before.all = 'skip after.block 'output.state := if FUNCTION new.sentence output.state after.block = 'skip output.state before.all = 'skip after.sentence 'output.state := if if FUNCTION not #0 #1 if FUNCTION and 'skip pop #0 if FUNCTION or pop #1...
-
[2]
Ahumada R., et al., 2020, @doi [ ] 10.3847/1538-4365/ab929e , https://ui.adsabs.harvard.edu/abs/2020ApJS..249....3A 249, 3
-
[3]
Alarie A., Morisset C., 2019, @doi [ ] 10.22201/ia.01851101p.2019.55.02.21 , https://ui.adsabs.harvard.edu/abs/2019RMxAA..55..377A 55, 377
-
[4]
Allen M. G., Groves B. A., Dopita M. A., Sutherland R. S., Kewley L. J., 2008, @doi [ ] 10.1086/589652 , https://ui.adsabs.harvard.edu/abs/2008ApJS..178...20A 178, 20
doi:10.1086/589652 2008
-
[5]
Amayo A., Delgado-Inglada G., Stasi \'n ska G., 2021, @doi [ ] 10.1093/mnras/stab1467 , https://ui.adsabs.harvard.edu/abs/2021MNRAS.505.2361A 505, 2361
-
[6]
O., P \'e rez-Montero E., V \' lchez J
Amor \' n R. O., P \'e rez-Montero E., V \' lchez J. M., 2010, @doi [ ] 10.1088/2041-8205/715/2/L128 , https://ui.adsabs.harvard.edu/abs/2010ApJ...715L.128A 715, L128
-
[7]
Amor \' n R., P \'e rez-Montero E., V \' lchez J. M., Papaderos P., 2012, @doi [ ] 10.1088/0004-637X/749/2/185 , https://ui.adsabs.harvard.edu/abs/2012ApJ...749..185A 749, 185
-
[8]
Z., Esteban C., Garc \' a-Rojas J., M \'e ndez-Delgado J
Arellano-C \'o rdova K. Z., Esteban C., Garc \' a-Rojas J., M \'e ndez-Delgado J. E., 2020, @doi [ ] 10.1093/mnras/staa1523 , https://ui.adsabs.harvard.edu/abs/2020MNRAS.496.1051A 496, 1051
-
[9]
Arellano-C \'o rdova K. Z., et al., 2022a, @doi [ ] 10.3847/1538-4357/ac7854 , https://ui.adsabs.harvard.edu/abs/2022ApJ...935...74A 935, 74
-
[10]
Arellano-C \'o rdova K. Z., et al., 2022b, @doi [ ] 10.3847/2041-8213/ac9ab2 , https://ui.adsabs.harvard.edu/abs/2022ApJ...940L..23A 940, L23
-
[11]
Arellano-C \'o rdova K. Z., et al., 2024, @doi [ ] 10.3847/1538-4357/ad34cf , https://ui.adsabs.harvard.edu/abs/2024ApJ...968...98A 968, 98
-
[12]
Astropy Collaboration et al., 2013, @doi [ ] 10.1051/0004-6361/201322068 , https://ui.adsabs.harvard.edu/abs/2013A&A...558A..33A 558, A33
-
[13]
Berg D. A., Erb D. K., Henry R. B. C., Skillman E. D., McQuinn K. B. W., 2019, @doi [ ] 10.3847/1538-4357/ab020a , https://ui.adsabs.harvard.edu/abs/2019ApJ...874...93B 874, 93
-
[14]
Berg D. A., Chisholm J., Erb D. K., Skillman E. D., Pogge R. W., Olivier G. M., 2021, @doi [ ] 10.3847/1538-4357/ac141b , https://ui.adsabs.harvard.edu/abs/2021ApJ...922..170B 922, 170
-
[15]
Berg D. A., et al., 2022, @doi [ ] 10.3847/1538-4365/ac6c03 , https://ui.adsabs.harvard.edu/abs/2022ApJS..261...31B 261, 31
-
[16]
Bernstein R., Shectman S. A., Gunnels S. M., Mochnacki S., Athey A. E., 2003, in Iye M., Moorwood A. F. M., eds, Society of Photo-Optical Instrumentation Engineers (SPIE) Conference Series Vol. 4841, Instrument Design and Performance for Optical/Infrared Ground-based Telescopes. pp 1694--1704, @doi 10.1117/12.461502
-
[17]
Bradford J. D., Geha M. C., Blanton M. R., 2015, @doi [ ] 10.1088/0004-637X/809/2/146 , https://ui.adsabs.harvard.edu/abs/2015ApJ...809..146B 809, 146
-
[18]
Brinchmann J., 2023, @doi [ ] 10.1093/mnras/stad1704 , https://ui.adsabs.harvard.edu/abs/2023MNRAS.525.2087B 525, 2087
-
[19]
Cameron A. J., et al., 2023, @doi [ ] 10.1051/0004-6361/202346107 , https://ui.adsabs.harvard.edu/abs/2023A&A...677A.115C 677, A115
-
[20]
Cann J. M., Satyapal S., Abel N. P., Ricci C., Secrest N. J., Blecha L., Gliozzi M., 2018, @doi [ ] 10.3847/1538-4357/aac64a , https://ui.adsabs.harvard.edu/abs/2018ApJ...861..142C 861, 142
-
[21]
Cardamone C., et al., 2009, @doi [ ] 10.1111/j.1365-2966.2009.15383.x , https://ui.adsabs.harvard.edu/abs/2009MNRAS.399.1191C 399, 1191
arXiv 2009
-
[22]
Croxall K. V., Pogge R. W., Berg D. A., Skillman E. D., Moustakas J., 2015, @doi [ ] 10.1088/0004-637X/808/1/42 , https://ui.adsabs.harvard.edu/abs/2015ApJ...808...42C 808, 42
-
[23]
Croxall K. V., Pogge R. W., Berg D. A., Skillman E. D., Moustakas J., 2016, @doi [ ] 10.3847/0004-637X/830/1/4 , https://ui.adsabs.harvard.edu/abs/2016ApJ...830....4C 830, 4
-
[24]
Curti M., et al., 2023a, @doi [arXiv e-prints] 10.48550/arXiv.2304.08516 , https://ui.adsabs.harvard.edu/abs/2023arXiv230408516C p. arXiv:2304.08516
-
[25]
Curti M., et al., 2023b, @doi [ ] 10.1093/mnras/stac2737 , https://ui.adsabs.harvard.edu/abs/2023MNRAS.518..425C 518, 425
-
[26]
De Cia A., Ledoux C., Mattsson L., Petitjean P., Srianand R., Gavignaud I., Jenkins E. B., 2016, @doi [ ] 10.1051/0004-6361/201527895 , https://ui.adsabs.harvard.edu/abs/2016A&A...596A..97D 596, A97
-
[27]
De Propris R., Conselice C. J., Liske J., Driver S. P., Patton D. R., Graham A. W., Allen P. D., 2007, @doi [ ] 10.1086/520488 , https://ui.adsabs.harvard.edu/abs/2007ApJ...666..212D 666, 212
doi:10.1086/520488 2007
-
[28]
D \' az \'A . I., Zamora S., 2022, @doi [ ] 10.1093/mnras/stac387 , https://ui.adsabs.harvard.edu/abs/2022MNRAS.511.4377D 511, 4377
-
[29]
Dom \' nguez-Guzm \'a n G., Rodr \' guez M., Garc \' a-Rojas J., Esteban C., Toribio San Cipriano L., 2022, @doi [ ] 10.1093/mnras/stac2974 , https://ui.adsabs.harvard.edu/abs/2022MNRAS.517.4497D 517, 4497
-
[30]
T., 2011, Physics of the Interstellar and Intergalactic Medium
Draine B. T., 2011, Physics of the Interstellar and Intergalactic Medium
2011
-
[31]
Feltre A., Charlot S., Gutkin J., 2016, @doi [ ] 10.1093/mnras/stv2794 , https://ui.adsabs.harvard.edu/abs/2016MNRAS.456.3354F 456, 3354
-
[32]
I., Terlevich R., Rosales-Ortega F
Fern \'a ndez V., Terlevich E., D \' az A. I., Terlevich R., Rosales-Ortega F. F., 2018, @doi [ ] 10.1093/mnras/sty1206 , https://ui.adsabs.harvard.edu/abs/2018MNRAS.478.5301F 478, 5301
-
[33]
Fern \'a ndez V., Terlevich E., D \' az A. I., Terlevich R., 2019, @doi [ ] 10.1093/mnras/stz1433 , https://ui.adsabs.harvard.edu/abs/2019MNRAS.487.3221F 487, 3221
-
[34]
Fern \'a ndez V., Amor \' n R., P \'e rez-Montero E., Papaderos P., Kehrig C., V \' lchez J. M., 2022, @doi [ ] 10.1093/mnras/stab3150 , https://ui.adsabs.harvard.edu/abs/2022MNRAS.511.2515F 511, 2515
-
[35]
Fern \'a ndez V., Amor \' n R., Sanchez-Janssen R., del Valle-Espinosa M. G., Papaderos P., 2023, @doi [ ] 10.1093/mnras/stad198 , https://ui.adsabs.harvard.edu/abs/2023MNRAS.520.3576F 520, 3576
-
[36]
Guseva N. G., Izotov Y. I., Stasi \'n ska G., Fricke K. J., Henkel C., Papaderos P., 2011, @doi [ ] 10.1051/0004-6361/201016291 , https://ui.adsabs.harvard.edu/abs/2011A&A...529A.149G 529, A149
-
[37]
Gutkin J., Charlot S., Bruzual G., 2016, @doi [ ] 10.1093/mnras/stw1716 , https://ui.adsabs.harvard.edu/abs/2016MNRAS.462.1757G 462, 1757
-
[38]
Hamuy M., Suntzeff N. B., Heathcote S. R., Walker A. R., Gigoux P., Phillips M. M., 1994, @doi [ ] 10.1086/133417 , https://ui.adsabs.harvard.edu/abs/1994PASP..106..566H 106, 566
-
[39]
Haridas Nair P., 2016, Lineid Plot , Zenodo, @doi 10.5281/zenodo.1069584
-
[40]
Hayward C. C., Hopkins P. F., 2017, @doi [ ] 10.1093/mnras/stw2888 , https://ui.adsabs.harvard.edu/abs/2017MNRAS.465.1682H 465, 1682
-
[41]
Herenz E. C., Micheva G., Weilbacher P. M., Monreal-Ibero A., Hayes M., Anders F., Rivinius T., 2023, @doi [Research Notes of the American Astronomical Society] 10.3847/2515-5172/acd69e , https://ui.adsabs.harvard.edu/abs/2023RNAAS...7...99H 7, 99
-
[42]
Hunter J. D., 2007, @doi [Computing in Science and Engineering] 10.1109/MCSE.2007.55 , https://ui.adsabs.harvard.edu/abs/2007CSE.....9...90H 9, 90
-
[43]
Isobe Y., et al., 2023, @doi [ ] 10.3847/1538-4357/ad09be , https://ui.adsabs.harvard.edu/abs/2023ApJ...959..100I 959, 100
-
[44]
Izotov Y. I., Thuan T. X., 1999, @doi [ ] 10.1086/306708 , https://ui.adsabs.harvard.edu/abs/1999ApJ...511..639I 511, 639
doi:10.1086/306708 1999
-
[45]
I., Stasi \'n ska G., Meynet G., Guseva N
Izotov Y. I., Stasi \'n ska G., Meynet G., Guseva N. G., Thuan T. X., 2006, @doi [ ] 10.1051/0004-6361:20053763 , https://ui.adsabs.harvard.edu/abs/2006A&A...448..955I 448, 955
-
[47]
Izotov Y. I., Guseva N. G., Fricke K. J., Henkel C., Schaerer D., Thuan T. X., 2021, @doi [ ] 10.1051/0004-6361/202039772 , https://ui.adsabs.harvard.edu/abs/2021A&A...646A.138I 646, A138
-
[48]
M., P \'e rez-Montero E., Iglesias-P \'a ramo J., Brinchmann J., Kunth D., Durret F., Bayo F
Kehrig C., V \' lchez J. M., P \'e rez-Montero E., Iglesias-P \'a ramo J., Brinchmann J., Kunth D., Durret F., Bayo F. M., 2015, @doi [ ] 10.1088/2041-8205/801/2/L28 , https://ui.adsabs.harvard.edu/abs/2015ApJ...801L..28K 801, L28
-
[49]
Kehrig C., V \' lchez J. M., Guerrero M. A., Iglesias-P \'a ramo J., Hunt L. K., Duarte-Puertas S., Ramos-Larios G., 2018, @doi [ ] 10.1093/mnras/sty1920 , https://ui.adsabs.harvard.edu/abs/2018MNRAS.480.1081K 480, 1081
-
[50]
D., 2003, @doi [ ] 10.1086/375502 , https://ui.adsabs.harvard.edu/abs/2003PASP..115..688K 115, 688
Kelson D. D., 2003, @doi [ ] 10.1086/375502 , https://ui.adsabs.harvard.edu/abs/2003PASP..115..688K 115, 688
doi:10.1086/375502 2003
-
[51]
Kelson D. D., Illingworth G. D., van Dokkum P. G., Franx M., 2000, @doi [ ] 10.1086/308445 , https://ui.adsabs.harvard.edu/abs/2000ApJ...531..159K 531, 159
doi:10.1086/308445 2000
-
[52]
Kniazev A. Y., Pustilnik S. A., Grebel E. K., Lee H., Pramskij A. G., 2004, @doi [ ] 10.1086/421519 , https://ui.adsabs.harvard.edu/abs/2004ApJS..153..429K 153, 429
-
[53]
Kourkchi E., et al., 2020, @doi [ ] 10.3847/1538-4357/abb66b , https://ui.adsabs.harvard.edu/abs/2020ApJ...902..145K 902, 145
-
[54]
Lecroq M., et al., 2024, @doi [ ] 10.1093/mnras/stad3838 , https://ui.adsabs.harvard.edu/abs/2024MNRAS.527.9480L 527, 9480
-
[55]
Lodders K., 2019, @doi [arXiv e-prints] 10.48550/arXiv.1912.00844 , https://ui.adsabs.harvard.edu/abs/2019arXiv191200844L p. arXiv:1912.00844
-
[56]
Luo W., Yang X., Zhang Y., 2014, @doi [ ] 10.1088/2041-8205/789/1/L16 , https://ui.adsabs.harvard.edu/abs/2014ApJ...789L..16L 789, L16
-
[57]
Marasco A., et al., 2022, arXiv e-prints, https://ui.adsabs.harvard.edu/abs/2022arXiv220902726M p. arXiv:2209.02726
Pith/arXiv arXiv 2022
-
[58]
Mignoli M., et al., 2013, @doi [ ] 10.1051/0004-6361/201220846 , https://ui.adsabs.harvard.edu/abs/2013A&A...556A..29M 556, A29
-
[59]
Mingozzi M., et al., 2022, @doi [ ] 10.3847/1538-4357/ac952c , https://ui.adsabs.harvard.edu/abs/2022ApJ...939..110M 939, 110
-
[60]
Miranda-P \'e rez B. E., Hidalgo-G \'a mez A. M., 2023, @doi [ ] 10.3847/1538-4357/acdb4b , https://ui.adsabs.harvard.edu/abs/2023ApJ...952...76M 952, 76
-
[61]
Molina M., Reines A. E., Latimer L. J., Baldassare V., Salehirad S., 2021, @doi [ ] 10.3847/1538-4357/ac1ffa , https://ui.adsabs.harvard.edu/abs/2021ApJ...922..155M 922, 155
-
[62]
L., Kere s D., Faucher-Gigu \`e re C.-A., Hopkins P
Muratov A. L., Kere s D., Faucher-Gigu \`e re C.-A., Hopkins P. F., Quataert E., Murray N., 2015, @doi [ ] 10.1093/mnras/stv2126 , https://ui.adsabs.harvard.edu/abs/2015MNRAS.454.2691M 454, 2691
-
[63]
Nakajima K., Ouchi M., Isobe Y., Harikane Y., Zhang Y., Ono Y., Umeda H., Oguri M., 2023, @doi [arXiv e-prints] 10.48550/arXiv.2301.12825 , https://ui.adsabs.harvard.edu/abs/2023arXiv230112825N p. arXiv:2301.12825
-
[64]
Newville M., Stensitzki T., Allen D. B., Rawlik M., Ingargiola A., Nelson A., 2016, Lmfit: Non-Linear Least-Square Minimization and Curve-Fitting for Python , Astrophysics Source Code Library, record ascl:1606.014 ( @eprint ascl 1606.014 )
2016
-
[65]
Olivier G. M., Berg D. A., Chisholm J., Erb D. K., Pogge R. W., Skillman E. D., 2022, @doi [ ] 10.3847/1538-4357/ac8f2c , https://ui.adsabs.harvard.edu/abs/2022ApJ...938...16O 938, 16
-
[66]
E., Ferland G
Osterbrock D. E., Ferland G. J., 2006, Astrophysics of gaseous nebulae and active galactic nuclei
2006
-
[67]
Pagel B. E. J., Edmunds M. G., Fosbury R. A. E., Webster B. L., 1978, @doi [ ] 10.1093/mnras/184.3.569 , https://ui.adsabs.harvard.edu/abs/1978MNRAS.184..569P 184, 569
-
[68]
Papaderos P., \"O stlin G., 2012, @doi [ ] 10.1051/0004-6361/201117551 , https://ui.adsabs.harvard.edu/abs/2012A&A...537A.126P 537, A126
-
[69]
P \'e roux C., Howk J. C., 2020, @doi [ ] 10.1146/annurev-astro-021820-120014 , https://ui.adsabs.harvard.edu/abs/2020ARA&A..58..363P 58, 363
-
[70]
Plat A., Charlot S., Bruzual G., Feltre A., Vidal-Garc \' a A., Morisset C., Chevallard J., Todt H., 2019, @doi [ ] 10.1093/mnras/stz2616 , https://ui.adsabs.harvard.edu/abs/2019MNRAS.490..978P 490, 978
-
[71]
Reefe M., et al., 2023, @doi [ ] 10.3847/2041-8213/acb4e4 , https://ui.adsabs.harvard.edu/abs/2023ApJ...946L..38R 946, L38
-
[72]
H., 2005, @doi [ ] 10.1086/429958 , https://ui.adsabs.harvard.edu/abs/2005ApJ...626..900R 626, 900
Rodr \' guez M., Rubin R. H., 2005, @doi [ ] 10.1086/429958 , https://ui.adsabs.harvard.edu/abs/2005ApJ...626..900R 626, 900
doi:10.1086/429958 2005
-
[73]
Rogers N. S. J., Skillman E. D., Pogge R. W., Berg D. A., Croxall K. V., Bartlett J., Arellano-C \'o rdova K. Z., Moustakas J., 2022, @doi [ ] 10.3847/1538-4357/ac947d , https://ui.adsabs.harvard.edu/abs/2022ApJ...939...44R 939, 44
-
[74]
Roman-Duval J., et al., 2021, @doi [ ] 10.3847/1538-4357/abdeb6 , https://ui.adsabs.harvard.edu/abs/2021ApJ...910...95R 910, 95
-
[75]
B., Mu \ n oz-Tu \ n \'o n C., Garc \' a-Benito R., Nuza S
S \'a nchez Almeida J., P \'e rez-Montero E., Morales-Luis A. B., Mu \ n oz-Tu \ n \'o n C., Garc \' a-Benito R., Nuza S. E., Kitaura F. S., 2016, @doi [ ] 10.3847/0004-637X/819/2/110 , https://ui.adsabs.harvard.edu/abs/2016ApJ...819..110S 819, 110
-
[76]
Sanders R. L., et al., 2021, @doi [ ] 10.3847/1538-4357/abf4c1 , https://ui.adsabs.harvard.edu/abs/2021ApJ...914...19S 914, 19
-
[77]
Sanders R. L., Shapley A. E., Topping M. W., Reddy N. A., Brammer G. B., 2023, @doi [arXiv e-prints] 10.48550/arXiv.2303.08149 , https://ui.adsabs.harvard.edu/abs/2023arXiv230308149S p. arXiv:2303.08149
-
[78]
Savage B. D., Sembach K. R., 1996, @doi [ ] 10.1086/177919 , https://ui.adsabs.harvard.edu/abs/1996ApJ...470..893S 470, 893
doi:10.1086/177919 1996
-
[79]
Schaerer D., 1996, @doi [ ] 10.1086/310193 , https://ui.adsabs.harvard.edu/abs/1996ApJ...467L..17S 467, L17
doi:10.1086/310193 1996
-
[80]
Schaerer D., Fragos T., Izotov Y. I., 2019, @doi [ ] 10.1051/0004-6361/201935005 , https://ui.adsabs.harvard.edu/abs/2019A&A...622L..10S 622, L10
-
[81]
Schaerer D., Marques-Chaves R., Barrufet L., Oesch P., Izotov Y. I., Naidu R., Guseva N. G., Brammer G., 2022, @doi [ ] 10.1051/0004-6361/202244556 , https://ui.adsabs.harvard.edu/abs/2022A&A...665L...4S 665, L4
This paper was first reviewed by deepseek-v4-flash on August 5, 2026.
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