REVIEW 3 major objections 6 minor 1 cited by
First joint absorption and T$_e$-based metallicity measured in a GRB host galaxy at $z=4.28$ using JWST/NIRSpec
T0 review · 3 major / 6 minor · reviewed 2026-08-07 · deepseek-v4-flash
Pith's one-line read In the host of GRB 050505 at z=4.28, absorption and electron-temperature metallicities agree, suggesting afterglow absorption lines can trace galaxy chemistry.
desk verdict A careful, honest paper with a genuinely new measurement, but the central absorption–Te metallicity agreement leans on a value the authors themselves call a lower limit. read the letter →
The pith
A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.
The reading
What carries the argument
The measurement is carried by the temperature-sensitive $[{\rm O\,III}]\,\lambda4363$ auroral line, whose ratio to the nebular $[{\rm O\,III}]\,\lambda4959,5007$ lines fixes the electron temperature of the ionized gas; a two-zone ionization model then links $T_e([{\rm O\,III}])$ to $T_e([{\rm O\,II}])$ and yields the oxygen abundance. On the absorption side, the machinery is a simultaneous dust-depletion fit to the relative abundances of singly ionized metal species, using published depletion patterns, which extracts the neutral-gas metallicity while accounting for dust along the line of sight. The two probes meet because long GRBs trace massive-star formation, so both measurements sample the same region of the same galaxy.
What would settle it
Obtain high-resolution spectroscopy of a GRB afterglow whose host galaxy also has a JWST/NIRSpec detection of $[{\rm O\,III}]\,\lambda4363$, and compare the unsaturated, depletion-corrected absorption metallicity with the $T_e$-based emission metallicity; a systematic excess of the absorption value by more than about $0.3$ dex would break the claimed agreement. For GRB 050505 specifically, a high-resolution re-measurement showing that the true absorption metallicity lies above about $8.1$ in $12+\log(\mathrm{O/H})$ would falsify the conclusion as drawn.
Extended reading notes
Core claim
The central claim is that, in the host of GRB 050505 at $z=4.28$, two independent metallicity measurements probing different gas phases agree: the absorption-line metallicity of the cold neutral interstellar medium, $12+\log(\mathrm{O/H}) = 7.66\pm0.11$ after a dust-depletion fit, and the electron-temperature-based emission metallicity of the warm ionized gas, $12+\log(\mathrm{O/H}) = 7.80\pm0.19$ and $7.96\pm0.21$ for two common temperature calibrations. This is the first joint absorption plus $T_e$-based measurement in a GRB host, made possible by the detection of the temperature-sensitive $[{\rm O\,III}]\,\lambda4363$ auroral line in JWST/NIRSpec data. Because long GRBs explode in star-forming regions, the afterglow sightline and the emission-line gas trace the same stellar population; the observed agreement therefore implies efficient mixing between neutral and ionized gas and supports the use of afterglow absorption lines as a non-flux-limited tracer of galaxy chemical enrichment.
Load-bearing premise
The absorption metallicity rests on a low-resolution Keck spectrum from 2006 whose metal lines may hide partial saturation; if the true cold-gas metallicity is noticeably higher than the measured $12+\log(\mathrm{O/H})\sim7.7$, the agreement with the temperature-based value could disappear.
Editorial extensions
If this is right
- If the agreement holds, GRB afterglow absorption spectroscopy can be trusted as a metallicity tracer for galaxies too faint for emission-line work, extending chemical-evolution studies beyond JWST's flux limits.
- The consistency between the absorption and $T_e$-based metallicities implies that metals produced in star-forming regions are efficiently distributed into the neutral interstellar medium along this sightline.
- Strong-line diagnostics that depend strongly on ionization parameter, such as $N2$, $S2$, $O3N2$ and $Ne3O2$, perform worse; ionization-parameter-insensitive diagnostics such as $R23$, or those explicitly calibrated for high-redshift conditions, track the temperature-based value better.
- Simulation-based expectations predict best agreement between absorption and emission metallicities for high-column-density sightlines close to a galaxy centre, matching the properties of this GRB sightline.
- Expanding the sample of high-redshift GRB hosts with $[{\rm O\,III}]\,\lambda4363$ detections could turn this single-object result into a general method for tracing cosmic chemical evolution.
Reading between the lines
- If the relation is confirmed in larger samples, part of the historical scatter between absorption and emission metallicities may be due to selection effects, such as emission samples being flux-limited and absorption sightlines being dust-poor, rather than a genuine physical difference between the neutral and ionized gas.
- Because the absorption metallicity here is formally a lower limit, future high-resolution afterglow spectroscopy of similar systems that measures unsaturated column densities could reveal a small systematic offset; quantifying that offset would constrain metal mixing timescales and abundance gradients.
- Applying the same JWST/NIRSpec strategy to GRB hosts at $z>6$ would test whether the efficient warm-cold mixing seen at $z=4.28$ persists at earlier epochs, when the universe is younger and enrichment may be patchier.
- The strong-line diagnostic comparison suggests a practical ranking: high-redshift metallicity surveys should prefer $R23$-type ratios or high-ionization calibrated relations, and treat ionization-parameter-sensitive single-ion ratios as unreliable.
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. This paper reports JWST/NIRSpec rest-frame optical spectroscopy of the host galaxy of GRB 050505 at z=4.28, detecting the temperature-sensitive [O III] lambda 4363 auroral line and deriving Te-based oxygen abundances of 12+log(O/H)=7.80+-0.14 (Izotov et al. 2006 method) and 7.96+-0.21 (Yates et al. 2020 method). The absorption-line metallicity of the cold ISM from the Keck/LRIS afterglow spectrum is recomputed with a dust-depletion fit, giving 12+log(O/H)=7.66+-0.11. The paper compares these values with each other and with a battery of strong-line diagnostics, concluding that the absorption and Te-based metallicities agree and that this implies efficient mixing between warm and cold ISM phases along the GRB sightline. The work is presented as the first such joint absorption and Te-based metallicity measurement in a GRB host galaxy at high redshift.
Significance. If the central agreement is robust, this is a valuable result: it would be the first direct comparison of GRB-afterglow absorption metallicities with the most reliable emission-line metallicity method at z>4, and it would support using GRB absorption spectroscopy to trace chemical enrichment in galaxies too faint for emission-line work. The paper also provides a rare high-redshift Te measurement for a GRB host and a careful multi-diagnostic comparison. The analysis is generally thorough in its treatment of line fitting and extinction, and the public JWST data make the emission-line part reproducible. However, the key inference depends on a single object and, more importantly, on the absorption metallicity being a true measurement rather than a lower limit; the paper itself states in Section 4.2.1 that hidden saturation means the absorption metallicity should be treated as a lower limit.
major comments (3)
- [Section 4.2.1, Fig. 5] The central claim of agreement between Z_abs and the Te-based metallicities is not secure because Z_abs is a lower limit, as the paper itself acknowledges in Section 4.2.1: the LRIS lines 'can suffer from hidden saturation, and the metallicity should thus be considered a lower limit.' The dust-depletion fit in Fig. 5 treats all relative abundances as detections, even though Berger et al. identified Si II and Ni II as the likely unsaturated species and these lie above the best-fit relation. If saturated low-ionization lines pull the fit down, [M/H]=-1.03+-0.11 could be biased low. Since saturation can only raise the true Z_abs, the apparent consistency with 12+log(O/H)=7.80-7.96 is not a two-sided test. I request a quantitative treatment of lower limits in the depletion fit (for example, fitting only the unsaturated species, or a survival-analysis fit with upper limits propagated) and a statement of how high the absorption metallicity could plausibly be before the agreement disappears.
- [Section 3.2.1, Table 2] The Te-based metallicities carry an additional systematic uncertainty that is not reflected in the quoted errors. The two adopted methods differ by 0.16 dex (7.80 vs 7.96), driven mainly by the assumed Te([O II])-Te([O III]) relation, and the quoted uncertainties of 0.14 and 0.21 dex do not include the relation's systematic scatter. Moreover, the [O III] lambda 4363 detection is at only about 2.7 sigma (flux 0.08+-0.03 in Table 1), so the Te measurement itself is marginal. The conclusion that Z_abs agrees with Z_SF(Te) should therefore be framed with an explicit statement that the systematic spread between the two Te methods is comparable to the statistical errors and that the agreement is at best tentative.
- [Section 4.2.2, Table 3] The abstract states that strong-line diagnostics appropriate for high-z galaxies 'find good agreement' with the other two methods, but Table 3 shows that many diagnostics disagree with the Te-based values at >1 sigma (e.g., R2 NOX22 gives 8.17+-0.05, S2 NOX22 gives 8.34+-0.07, and several SST24 diagnostics exceed 8.1), and consistency is only reached after adding an adopted 0.2 dex systematic uncertainty that is not derived from the data. The only strong-line ratios that agree within 1 sigma with Z_SF(Te) are R23 and R3 for the high-EW NOX22 and some SST24 cases. The text should more clearly distinguish between diagnostics that actually agree and those that agree only after a generous systematic error is added, and the summary statement should be softened accordingly.
minor comments (6)
- [Section 2.1] There is a typo: 'rest fame wavelength' should be 'rest frame wavelength.'
- [Figure 3 caption] The caption reads 'central wavelengths and line widths or all lines'; this should be 'of all lines.'
- [Table 1] The [Ne III] lambda 3967 uncorrected flux is listed as 0.08+-0.25, while the corrected flux is 0.16+-0.07; the error should not decrease after a multiplicative extinction correction, so this entry appears to contain a typo or a propagation error and should be checked.
- [Section 4.1.1] The reported comparison temperatures contain notation typos: 'Te([O III]) = 10500 ± 0.0500 K' and '13400±0.2000 K' should presumably read 10500±500 K and 13400±2000 K.
- [Abstract] The sentence 'this suggest that metallicities determined via GRB afterglow spectroscopy...' has a subject-verb agreement error ('suggest' should be 'suggests').
- [Section 1] The footnote defining [X/Y] is missing the division signs in the displayed formula; as printed, it reads as a ratio of logarithms rather than a logarithmic abundance ratio.
Circularity Check
No circular derivation: the absorption and Te-based metallicities are independently measured, and the agreement is an empirical outcome; only methodological self-citations appear.
full rationale
The central comparison is between an absorption metallicity re-fit from Keck/LRIS column densities (Berger et al. 2006) using De Cia et al. (2016) depletion patterns and a Te-based metallicity derived from JWST/NIRSpec [OIII]4363 line fluxes with Izotov et al. (2006) and Yates et al. (2020) relations. These are independent inputs: the depletion-pattern fit has no Te-based quantity as input, and the Te calculation uses neither Z_abs nor the depletion fit. The SL-diagnostic comparison is an application of externally calibrated relations, not a calibration performed here; the several diagnostics disagree by up to ~0.6 dex, so the partial agreement with Te is not forced by construction. The only self-citations (Wiseman et al. 2017 procedure; Schady et al. 2024 sample) are methodological and not load-bearing. The paper's own caveat (Sec. 4.2.1: LRIS hidden saturation makes Z_abs a lower limit) is an observational limitation that affects the strength of the agreement, but it does not make any equation reduce to its input. No self-definitional step, no fitted parameter renamed as a prediction, and no uniqueness claim imported from the authors' prior work were found.
Assumptions & free parameters
free parameters (3)
- Absorption metallicity [M/H] from dust depletion fit =
-1.03 ± 0.11
- Systematic uncertainty added to SL diagnostics without quoted errors =
0.2 dex
- [S II] lambda 6717/6731 amplitude ratio =
1.4 (maximum for n_e < 100 cm^-3)
assumptions (7)
- domain assumption Two-zone ionization model: Te([OII]) related to Te([OIII]) via literature calibrations (Izotov et al. 2006; Yates et al. 2020)
- domain assumption Case-B Balmer decrement (Halpha/Hbeta = 2.86) for extinction correction
- domain assumption SMC extinction curve is appropriate for the GRB host galaxy
- domain assumption De Cia et al. (2016) dust depletion patterns apply to this line of sight
- domain assumption The LRIS absorption column densities from Berger et al. (2006) are not severely saturated
- domain assumption All emission lines trace the same gas, so a single redshift and velocity width can be imposed
- domain assumption NOX22 high-EW calibrations are appropriate for this galaxy despite unmeasured EW(Hbeta)
Cite this review
Pith. "Pith review of First joint absorption and T$_e$-based metallicity measured in a GRB host galaxy at $z=4.28$ using JWST/NIRSpec." pith.science (2026). https://pith.science/paper/EIFBGYG5
@misc{pith2026250608114,
author = {Pith},
title = {Pith review of: First joint absorption and T$_e$-based metallicity measured in a GRB host galaxy at $z=4.28$ using JWST/NIRSpec},
year = {2026},
howpublished = {\url{https://pith.science/paper/EIFBGYG5}},
note = {Machine review of arXiv:2506.08114}
}
abstract
We present the first gamma-ray burst (GRB) host galaxy with a measured absorption line and electron temperature (T$_e$) based metallicity, using the temperature sensitive [OIII]$\lambda$4363 auroral line detected in the JWST/NIRSpec spectrum of the host of GRB 050505 at redshift $z=4.28$. We find that the metallicity of the cold interstellar gas, derived from the absorption lines in the GRB afterglow, of 12 + log(O/H)$\sim 7.7$ is in reasonable agreement with the temperature-based emission line metallicity in the warm gas of the GRB host galaxy, which has values of 12 + log(O/H) = 7.80$\pm$0.19 and 7.96$\pm$0.21 for two common indicators. When using strong emission line diagnostics appropriate for high-z galaxies and sensitive to ionisation parameter, we find good agreement between the strong emission line metallicity and the other two methods. Our results imply that, for the host of GRB050505, mixing between the warm and the cold ISM along the line of sight to the GRB is efficient, and that GRB afterglow absorption lines can be a reliable tracer of the metallicity of the galaxy. If confirmed with a large sample, this suggest that metallicities determined via GRB afterglow spectroscopy can be used to trace cosmic chemical evolution to the earliest cosmic epochs and in galaxies far too faint for emission line spectroscopy, even for JWST.
Figures
Forward citations
Cited by 1 Pith paper
-
Trading oxygen for iron II. Oxygen- versus iron-dependent cosmic star formation history
Most cosmic star formation occurred in gas with non-solar O/Fe; the cosmic mean [Fe/H] lags [O/H] by up to ~0.5 dex.
Reference graph
Works this paper leans on
-
[1]
Arabsalmani M., et al., 2018, @doi [ ] 10.1093/mnras/stx2451 , https://ui.adsabs.harvard.edu/abs/2018MNRAS.473.3312A 473, 3312
-
[2]
Arabsalmani M., et al., 2023, @doi [ ] 10.3847/1538-4357/acd4b7 , https://ui.adsabs.harvard.edu/abs/2023ApJ...952...67A 952, 67
-
[3]
Arellano-C \'o rdova K. Z., et al., 2022, @doi [ ] 10.3847/2041-8213/ac9ab2 , https://ui.adsabs.harvard.edu/abs/2022ApJ...940L..23A 940, L23
-
[4]
Asplund M., Grevesse N., Sauval A. J., Scott P., 2009, @doi [ ] 10.1146/annurev.astro.46.060407.145222 , https://ui.adsabs.harvard.edu/abs/2009ARA&A..47..481A 47, 481
arXiv 2009
-
[5]
Astropy Collaboration et al., 2013, @doi [ ] 10.1051/0004-6361/201322068 , http://adsabs.harvard.edu/abs/2013A
-
[6]
Astropy Collaboration et al., 2018, @doi [ ] 10.3847/1538-3881/aabc4f , https://ui.adsabs.harvard.edu/abs/2018AJ....156..123A 156, 123
-
[7]
Astropy Collaboration et al., 2022, @doi [apj] 10.3847/1538-4357/ac7c74 , https://ui.adsabs.harvard.edu/abs/2022ApJ...935..167A 935, 167
-
[8]
Berger E., Penprase B. E., Cenko S. B., Kulkarni S. R., Fox D. B., Steidel C. C., Reddy N. A., 2006, @doi [ ] 10.1086/501162 , https://ui.adsabs.harvard.edu/abs/2006ApJ...642..979B 642, 979
Show all 131 references
-
[9]
Bolmer J., et al., 2019, @doi [ ] 10.1051/0004-6361/201834422 , https://ui.adsabs.harvard.edu/abs/2019A&A...623A..43B 623, A43
2019 doi
-
[10]
K., Salas H., 2019, @doi [ ] 10.1051/0004-6361/201834156 , https://ui.adsabs.harvard.edu/abs/2019A&A...622A.103B 622, A103
Boquien M., Burgarella D., Roehlly Y., Buat V., Ciesla L., Corre D., Inoue A. K., Salas H., 2019, @doi [ ] 10.1051/0004-6361/201834156 , https://ui.adsabs.harvard.edu/abs/2019A&A...622A.103B 622, A103
2019 doi
-
[11]
Bushouse H., et al., 2025, JWST Calibration Pipeline, @doi 10.5281/zenodo.14597407
2025 doi
-
[12]
J., Katz H., Rey M
Cameron A. J., Katz H., Rey M. P., 2023, @doi [ ] 10.1093/mnrasl/slad046 , https://ui.adsabs.harvard.edu/abs/2023MNRAS.522L..89C 522, L89
2023 doi
-
[13]
A., Clayton G
Cardelli J. A., Clayton G. C., Mathis J. S., 1989, @doi [ ] 10.1086/167900 , https://ui.adsabs.harvard.edu/abs/1989ApJ...345..245C 345, 245
1989 doi
-
[14]
Chabrier G., 2003, @doi [ ] 10.1086/376392 , https://ui.adsabs.harvard.edu/abs/2003PASP..115..763C 115, 763
2003 doi
-
[15]
Christensen L., Hjorth J., Gorosabel J., 2004, @doi [ ] 10.1051/0004-6361:20040361 , https://ui.adsabs.harvard.edu/abs/2004A&A...425..913C 425, 913
2004 doi
-
[16]
Christensen L., et al., 2012, @doi [Monthly Notices of the Royal Astronomical Society] 10.1111/j.1365-2966.2012.22007.x , 427, 1973
2012
-
[17]
X., Cooke R
Cucchiara A., Fumagalli M., Rafelski M., Kocevski D., Prochaska J. X., Cooke R. J., Becker G. D., 2015, @doi [ ] 10.1088/0004-637X/804/1/51 , https://ui.adsabs.harvard.edu/abs/2015ApJ...804...51C 804, 51
2015 doi
-
[18]
Curti M., et al., 2023, @doi [ ] 10.1093/mnras/stac2737 , https://ui.adsabs.harvard.edu/abs/2023MNRAS.518..425C 518, 425
2023 doi
-
[19]
Curti M., et al., 2024, @doi [ ] 10.1051/0004-6361/202346698 , https://ui.adsabs.harvard.edu/abs/2024A&A...684A..75C 684, A75
2024 doi
-
[20]
D'Elia V., et al., 2014, @doi [ ] 10.1051/0004-6361/201323057 , https://ui.adsabs.harvard.edu/abs/2014A&A...564A..38D 564, A38
2014 doi
-
[21]
B., 2016, @doi [ ] 10.1051/0004-6361/201527895 , https://ui.adsabs.harvard.edu/abs/2016A&A...596A..97D 596, A97
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
2016 doi
-
[22]
De Cia A., Ledoux C., Petitjean P., Savaglio S., 2018, @doi [ ] 10.1051/0004-6361/201731970 , https://ui.adsabs.harvard.edu/abs/2018A&A...611A..76D 611, A76
2018 doi
-
[23]
Decleir M., et al., 2022, @doi [ ] 10.3847/1538-4357/ac5dbe , https://ui.adsabs.harvard.edu/abs/2022ApJ...930...15D 930, 15
2022 doi
-
[24]
A., Kewley L
Dopita M. A., Kewley L. J., Sutherland R. S., Nicholls D. C., 2016, @doi [ ] 10.1007/s10509-016-2657-8 , https://ui.adsabs.harvard.edu/abs/2016Ap&SS.361...61D 361, 61
2016 doi
-
[25]
G., Pagel B
Edmunds M. G., Pagel B. E. J., 1978, @doi [ ] 10.1093/mnras/185.1.77P , https://ui.adsabs.harvard.edu/abs/1978MNRAS.185P..77E 185, 77P
1978 doi
-
[26]
L., Massa D., Gordon K
Fitzpatrick E. L., Massa D., Gordon K. D., Bohlin R., Clayton G. C., 2019, @doi [ ] 10.3847/1538-4357/ab4c3a , https://ui.adsabs.harvard.edu/abs/2019ApJ...886..108F 886, 108
2019 doi
-
[27]
Friis M., et al., 2015, @doi [ ] 10.1093/mnras/stv960 , https://ui.adsabs.harvard.edu/abs/2015MNRAS.451..167F 451, 167
2015 doi
-
[29]
Fynbo J. P. U., et al., 2011, @doi [ ] 10.1111/j.1365-2966.2011.18318.x , https://ui.adsabs.harvard.edu/abs/2011MNRAS.413.2481F 413, 2481
2011
-
[30]
Fynbo J. P. U., et al., 2013, @doi [ ] 10.1093/mnras/stt1579 , https://ui.adsabs.harvard.edu/abs/2013MNRAS.436..361F 436, 361
2013 doi
-
[31]
J., et al., 1998, @doi [ ] 10.1038/27150 , https://ui.adsabs.harvard.edu/abs/1998Natur.395..670G 395, 670
Galama T. J., et al., 1998, @doi [ ] 10.1038/27150 , https://ui.adsabs.harvard.edu/abs/1998Natur.395..670G 395, 670
1998 doi
-
[32]
Gordon K., 2024, dust\_extinction , @doi 10.5281/zenodo.11235336
2024 doi
-
[33]
D., Cartledge S., Clayton G
Gordon K. D., Cartledge S., Clayton G. C., 2009, @doi [ ] 10.1088/0004-637X/705/2/1320 , https://ui.adsabs.harvard.edu/abs/2009ApJ...705.1320G 705, 1320
2009 doi
-
[34]
D., et al., 2021, @doi [ ] 10.3847/1538-4357/ac00b7 , https://ui.adsabs.harvard.edu/abs/2021ApJ...916...33G 916, 33
Gordon K. D., et al., 2021, @doi [ ] 10.3847/1538-4357/ac00b7 , https://ui.adsabs.harvard.edu/abs/2021ApJ...916...33G 916, 33
2021 doi
-
[35]
D., Clayton G
Gordon K. D., Clayton G. C., Decleir M., Fitzpatrick E. L., Massa D., Misselt K. A., Tollerud E. J., 2023, @doi [ ] 10.3847/1538-4357/accb59 , https://ui.adsabs.harvard.edu/abs/2023ApJ...950...86G 950, 86
2023 doi
-
[36]
F., Fruchter A
Graham J. F., Fruchter A. S., 2013, @doi [ ] 10.1088/0004-637X/774/2/119 , https://ui.adsabs.harvard.edu/abs/2013ApJ...774..119G 774, 119
2013 doi
-
[37]
F., Fruchter A
Graham J. F., Fruchter A. S., 2017, @doi [ ] 10.3847/1538-4357/834/2/170 , https://ui.adsabs.harvard.edu/abs/2017ApJ...834..170G 834, 170
2017 doi
-
[38]
F., Schady P., Fruchter A
Graham J. F., Schady P., Fruchter A. S., 2023, @doi [ ] 10.3847/1538-4357/acbfab , https://ui.adsabs.harvard.edu/abs/2023ApJ...954...13G 954, 13
2023 doi
-
[39]
R., et al., 2020, @doi [ ] 10.1038/s41586-020-2649-2 , https://ui.adsabs.harvard.edu/abs/2020Natur.585..357H 585, 357
Harris C. R., et al., 2020, @doi [ ] 10.1038/s41586-020-2649-2 , https://ui.adsabs.harvard.edu/abs/2020Natur.585..357H 585, 357
2020 doi
-
[40]
E., et al., 2015, @doi [ ] 10.1051/0004-6361/201425001 , https://ui.adsabs.harvard.edu/abs/2015A&A...580A.139H 580, A139
Hartoog O. E., et al., 2015, @doi [ ] 10.1051/0004-6361/201425001 , https://ui.adsabs.harvard.edu/abs/2015A&A...580A.139H 580, A139
2015 doi
-
[41]
E., et al., 2023, @doi [ ] 10.3847/2041-8213/acb2cf , https://ui.adsabs.harvard.edu/abs/2023ApJ...944L..30H 944, L30
Heintz K. E., et al., 2023, @doi [ ] 10.3847/2041-8213/acb2cf , https://ui.adsabs.harvard.edu/abs/2023ApJ...944L..30H 944, L30
2023 doi
-
[42]
Henry R. B. C., Worthey G., 1999, @doi [ ] 10.1086/316403 , https://ui.adsabs.harvard.edu/abs/1999PASP..111..919H 111, 919
1999 doi
-
[43]
K., 2003, @doi [ ] 10.1051/0004-6361:20031144 , https://ui.adsabs.harvard.edu/abs/2003A&A...410...83H 410, 83
Hirashita H., Buat V., Inoue A. K., 2003, @doi [ ] 10.1051/0004-6361:20031144 , https://ui.adsabs.harvard.edu/abs/2003A&A...410...83H 410, 83
2003 doi
-
[44]
S., Salzer J
Hirschauer A. S., Salzer J. J., Bresolin F., Saviane I., Yegorova I., 2015, @doi [ ] 10.1088/0004-6256/150/3/71 , https://ui.adsabs.harvard.edu/abs/2015AJ....150...71H 150, 71
2015 doi
-
[45]
S., 2023, @doi [ ] 10.1093/mnras/stad2745 , https://ui.adsabs.harvard.edu/abs/2023MNRAS.526.3504H 526, 3504
Hirschmann M., Charlot S., Somerville R. S., 2023, @doi [ ] 10.1093/mnras/stad2745 , https://ui.adsabs.harvard.edu/abs/2023MNRAS.526.3504H 526, 3504
2023 doi
-
[46]
Hjorth J., et al., 2003, @doi [ ] 10.1038/nature01750 , https://ui.adsabs.harvard.edu/abs/2003Natur.423..847H 423, 847
2003 doi
-
[47]
D., 2007, @doi [Computing in Science and Engineering] 10.1109/MCSE.2007.55 , https://ui.adsabs.harvard.edu/abs/2007CSE.....9...90H 9, 90
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
2007 doi
-
[48]
I., Stasi´nskastasi´nska G., Meynet G., Guseva N
Izotov Y. I., Stasi´nskastasi´nska G., Meynet G., Guseva N. G., Thuan T. X., 2006, @doi [A&A] 10.1051/0004-6361:20053763 , 448, 955
2006 doi
-
[49]
Izzo L., et al., 2017, @doi [ ] 10.1093/mnras/stx2244 , https://ui.adsabs.harvard.edu/abs/2017MNRAS.472.4480I 472, 4480
2017 doi
-
[50]
Kawai N., et al., 2006, @doi [ ] 10.1038/nature04498 , https://ui.adsabs.harvard.edu/abs/2006Natur.440..184K 440, 184
2006 doi
-
[51]
Kennicutt Jr. R. C., 1998, @doi [ ] 10.1146/annurev.astro.36.1.189 , https://ui.adsabs.harvard.edu/abs/1998ARA&A..36..189K 36, 189
1998 doi
-
[52]
J., Dopita M
Kewley L. J., Dopita M. A., 2002, @doi [ ] 10.1086/341326 , https://ui.adsabs.harvard.edu/abs/2002ApJS..142...35K 142, 35
2002 doi
-
[53]
J., Ellison S
Kewley L. J., Ellison S. L., 2008, @doi [ ] 10.1086/587500 , https://ui.adsabs.harvard.edu/abs/2008ApJ...681.1183K 681, 1183
2008 doi
-
[54]
J., Maier C., Yabe K., Ohta K., Akiyama M., Dopita M
Kewley L. J., Maier C., Yabe K., Ohta K., Akiyama M., Dopita M. A., Yuan T., 2013a, @doi [ ] 10.1088/2041-8205/774/1/L10 , https://ui.adsabs.harvard.edu/abs/2013ApJ...774L..10K 774, L10
-
[55]
J., Dopita M
Kewley L. J., Dopita M. A., Leitherer C., Dav \'e R., Yuan T., Allen M., Groves B., Sutherland R., 2013b, @doi [ ] 10.1088/0004-637X/774/2/100 , https://ui.adsabs.harvard.edu/abs/2013ApJ...774..100K 774, 100
-
[56]
K \"o ppen J., Hensler G., 2005, @doi [ ] 10.1051/0004-6361:20042266 , https://ui.adsabs.harvard.edu/abs/2005A&A...434..531K 434, 531
2005 doi
-
[57]
Krogager J.-K., et al., 2013, @doi [ ] 10.1093/mnras/stt955 , https://ui.adsabs.harvard.edu/abs/2013MNRAS.433.3091K 433, 3091
2013 doi
-
[58]
Kr \"u hler T., et al., 2015, @doi [ ] 10.1051/0004-6361/201425561 , https://ui.adsabs.harvard.edu/abs/2015A&A...581A.125K 581, A125
2015 doi
-
[59]
P., Galbany L., Gensior J., 2017, @doi [ ] 10.1051/0004-6361/201630268 , https://ui.adsabs.harvard.edu/abs/2017A&A...602A..85K 602, A85
Kr \"u hler T., Kuncarayakti H., Schady P., Anderson J. P., Galbany L., Gensior J., 2017, @doi [ ] 10.1051/0004-6361/201630268 , https://ui.adsabs.harvard.edu/abs/2017A&A...602A..85K 602, A85
2017 doi
-
[60]
H., et al., 2024, @doi [ ] 10.1051/0004-6361/202347133 , https://ui.adsabs.harvard.edu/abs/2024A&A...681A..70L 681, A70
Laseter I. H., et al., 2024, @doi [ ] 10.1051/0004-6361/202347133 , https://ui.adsabs.harvard.edu/abs/2024A&A...681A..70L 681, A70
2024 doi
-
[61]
Maiolino R., Mannucci F., 2019, @doi [ ] 10.1007/s00159-018-0112-2 , https://ui.adsabs.harvard.edu/abs/2019A&ARv..27....3M 27, 3
2019 doi
-
[62]
Marques-Chaves R., et al., 2024, @doi [ ] 10.1051/0004-6361/202347411 , https://ui.adsabs.harvard.edu/abs/2024A&A...681A..30M 681, A30
2024 doi
-
[63]
McGuire J. T. W., et al., 2016, @doi [ ] 10.3847/0004-637X/825/2/135 , https://ui.adsabs.harvard.edu/abs/2016ApJ...825..135M 825, 135
2016 doi
-
[64]
Metha B., Trenti M., 2020, @doi [ ] 10.1093/mnras/staa1114 , https://ui.adsabs.harvard.edu/abs/2020MNRAS.495..266M 495, 266
2020 doi
-
[65]
Metha B., Trenti M., 2023, @doi [ ] 10.1093/mnras/stad165 , https://ui.adsabs.harvard.edu/abs/2023MNRAS.520..879M 520, 879
2023 doi
-
[66]
J., Trenti M., 2021, @doi [ ] 10.1093/mnras/stab892 , https://ui.adsabs.harvard.edu/abs/2021MNRAS.504.5992M 504, 5992
Metha B., Cameron A. J., Trenti M., 2021, @doi [ ] 10.1093/mnras/stab892 , https://ui.adsabs.harvard.edu/abs/2021MNRAS.504.5992M 504, 5992
2021 doi
-
[67]
Nakajima K., et al., 2022, @doi [ ] 10.3847/1538-4365/ac7710 , https://ui.adsabs.harvard.edu/abs/2022ApJS..262....3N 262, 3
2022 doi
-
[68]
Nakajima K., Ouchi M., Isobe Y., Harikane Y., Zhang Y., Ono Y., Umeda H., Oguri M., 2023, @doi [ ] 10.3847/1538-4365/acd556 , https://ui.adsabs.harvard.edu/abs/2023ApJS..269...33N 269, 33
2023 doi
-
[69]
M., Prochaska J
Neeleman M., Wolfe A. M., Prochaska J. X., Rafelski M., 2013, @doi [ ] 10.1088/0004-637X/769/1/54 , https://ui.adsabs.harvard.edu/abs/2013ApJ...769...54N 769, 54
2013 doi
-
[70]
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
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
2016
-
[71]
C., Dopita M
Nicholls D. C., Dopita M. A., Sutherland R. S., Kewley L. J., Palay E., 2013, @doi [ ] 10.1088/0067-0049/207/2/21 , https://ui.adsabs.harvard.edu/abs/2013ApJS..207...21N 207, 21
2013 doi
-
[72]
C., Dopita M
Nicholls D. C., Dopita M. A., Sutherland R. S., Jerjen H., Kewley L. J., Basurah H., 2014, @doi [ ] 10.1088/0004-637X/786/2/155 , https://ui.adsabs.harvard.edu/abs/2014ApJ...786..155N 786, 155
2014 doi
-
[73]
C., Sutherland R
Nicholls D. C., Sutherland R. S., Dopita M. A., Kewley L. J., Groves B. A., 2017, @doi [ ] 10.1093/mnras/stw3235 , https://ui.adsabs.harvard.edu/abs/2017MNRAS.466.4403N 466, 4403
2017 doi
-
[74]
E., 1989, Astrophysics of gaseous nebulae and active galactic nuclei
Osterbrock D. E., 1989, Astrophysics of gaseous nebulae and active galactic nuclei
1989
-
[75]
E., Ferland G
Osterbrock D. E., Ferland G. J., 2006, Astrophysics of gaseous nebulae and active galactic nuclei
2006
-
[76]
T., et al., 2019, @doi [ ] 10.1051/0004-6361/201834179 , https://ui.adsabs.harvard.edu/abs/2019A&A...623A..26P 623, A26
Palmerio J. T., et al., 2019, @doi [ ] 10.1051/0004-6361/201834179 , https://ui.adsabs.harvard.edu/abs/2019A&A...623A..26P 623, A26
2019 doi
-
[77]
A., 2018, @doi [ ] 10.1093/mnras/sty2508 , https://ui.adsabs.harvard.edu/abs/2018MNRAS.481.3520P 481, 3520
Patr \' cio V., Christensen L., Rhodin H., Ca \ n ameras R., Lara-L \'o pez M. A., 2018, @doi [ ] 10.1093/mnras/sty2508 , https://ui.adsabs.harvard.edu/abs/2018MNRAS.481.3520P 481, 3520
2018 doi
-
[78]
Peimbert M., 1967, @doi [ ] 10.1086/149385 , https://ui.adsabs.harvard.edu/abs/1967ApJ...150..825P 150, 825
1967 doi
-
[79]
A., et al., 2016, @doi [ ] 10.3847/0004-637X/817/1/8 , https://ui.adsabs.harvard.edu/abs/2016ApJ...817....8P 817, 8
Perley D. A., et al., 2016, @doi [ ] 10.3847/0004-637X/817/1/8 , https://ui.adsabs.harvard.edu/abs/2016ApJ...817....8P 817, 8
2016 doi
-
[80]
C., 2020, @doi [ ] 10.1146/annurev-astro-021820-120014 , https://ui.adsabs.harvard.edu/abs/2020ARA&A..58..363P 58, 363
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
2020 doi
-
[81]
L., Steidel C
Pettini M., Ellison S. L., Steidel C. C., Bowen D. V., 1999, @doi [ ] 10.1086/306635 , https://ui.adsabs.harvard.edu/abs/1999ApJ...510..576P 510, 576
1999 doi
-
[82]
S., Grebel E
Pilyugin L. S., Grebel E. K., 2016, @doi [ ] 10.1093/mnras/stw238 , https://ui.adsabs.harvard.edu/abs/2016MNRAS.457.3678P 457, 3678
2016 doi
-
[83]
S., V \' lchez J
Pilyugin L. S., V \' lchez J. M., Thuan T. X., 2010, @doi [ ] 10.1088/0004-637X/720/2/1738 , https://ui.adsabs.harvard.edu/abs/2010ApJ...720.1738P 720, 1738
2010 doi
-
[84]
Piranomonte S., et al., 2015, @doi [ ] 10.1093/mnras/stv1569 , https://ui.adsabs.harvard.edu/abs/2015MNRAS.452.3293P 452, 3293
2015 doi
-
[85]
Planck Collaboration et al., 2016, @doi [ ] 10.1051/0004-6361/201525830 , https://ui.adsabs.harvard.edu/abs/2016A&A...594A..13P 594, A13
2016 doi
-
[86]
Popesso P., et al., 2023, @doi [ ] 10.1093/mnras/stac3214 , https://ui.adsabs.harvard.edu/abs/2023MNRAS.519.1526P 519, 1526
2023 doi
-
[87]
X., Gawiser E., Wolfe A
Prochaska J. X., Gawiser E., Wolfe A. M., Cooke J., Gelino D., 2003a, @doi [ ] 10.1086/375839 , https://ui.adsabs.harvard.edu/abs/2003ApJS..147..227P 147, 227
-
[88]
X., Castro S., Djorgovski S
Prochaska J. X., Castro S., Djorgovski S. G., 2003b, @doi [ ] 10.1086/376793 , https://ui.adsabs.harvard.edu/abs/2003ApJS..148..317P 148, 317
-
[89]
X., et al., 2004, @doi [ ] 10.1086/421988 , https://ui.adsabs.harvard.edu/abs/2004ApJ...611..200P 611, 200
Prochaska J. X., et al., 2004, @doi [ ] 10.1086/421988 , https://ui.adsabs.harvard.edu/abs/2004ApJ...611..200P 611, 200
2004 doi
-
[90]
X., et al., 2007a, @doi [ ] 10.1086/510239 , https://ui.adsabs.harvard.edu/abs/2007ApJS..168..231P 168, 231
Prochaska J. X., et al., 2007a, @doi [ ] 10.1086/510239 , https://ui.adsabs.harvard.edu/abs/2007ApJS..168..231P 168, 231
-
[91]
X., Chen H.-W., Dessauges-Zavadsky M., Bloom J
Prochaska J. X., Chen H.-W., Dessauges-Zavadsky M., Bloom J. S., 2007b, @doi [ ] 10.1086/520042 , https://ui.adsabs.harvard.edu/abs/2007ApJ...666..267P 666, 267
-
[92]
M., Prochaska J
Rafelski M., Wolfe A. M., Prochaska J. X., Neeleman M., Mendez A. J., 2012, @doi [ ] 10.1088/0004-637X/755/2/89 , https://ui.adsabs.harvard.edu/abs/2012ApJ...755...89R 755, 89
2012 doi
-
[93]
E., et al., 2023, @doi [ ] 10.3847/2041-8213/acaaaf , https://ui.adsabs.harvard.edu/abs/2023ApJ...942L..14R 942, L14
Rhoads J. E., et al., 2023, @doi [ ] 10.3847/2041-8213/acaaaf , https://ui.adsabs.harvard.edu/abs/2023ApJ...942L..14R 942, L14
2023 doi
-
[94]
Rhodin N. H. P., Christensen L., M ller P., Zafar T., Fynbo J. P. U., 2018, @doi [ ] 10.1051/0004-6361/201832992 , https://ui.adsabs.harvard.edu/abs/2018A&A...618A.129R 618, A129
2018 doi
-
[95]
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
2022 doi
-
[96]
Saccardi A., et al., 2023, @doi [ ] 10.1051/0004-6361/202244205 , https://ui.adsabs.harvard.edu/abs/2023A&A...671A..84S 671, A84
2023 doi
-
[97]
L., et al., 2020, @doi [Monthly Notices of the Royal Astronomical Society] 10.1093/mnras/stz3032 , 491, 1427
Sanders R. L., et al., 2020, @doi [Monthly Notices of the Royal Astronomical Society] 10.1093/mnras/stz3032 , 491, 1427
2020 doi
-
[98]
L., et al., 2021, @doi [ ] 10.3847/1538-4357/abf4c1 , https://ui.adsabs.harvard.edu/abs/2021ApJ...914...19S 914, 19
Sanders R. L., et al., 2021, @doi [ ] 10.3847/1538-4357/abf4c1 , https://ui.adsabs.harvard.edu/abs/2021ApJ...914...19S 914, 19
2021 doi
-
[99]
L., Shapley A
Sanders R. L., Shapley A. E., Topping M. W., Reddy N. A., Brammer G. B., 2024, @doi [ ] 10.3847/1538-4357/ad15fc , https://ui.adsabs.harvard.edu/abs/2024ApJ...962...24S 962, 24
2024 doi
-
[100]
Savaglio S., 2006, @doi [New Journal of Physics] 10.1088/1367-2630/8/9/195 , https://ui.adsabs.harvard.edu/abs/2006NJPh....8..195S 8, 195
2006 doi
-
[101]
Schady P., et al., 2007, @doi [ ] 10.1111/j.1365-2966.2007.11592.x , https://ui.adsabs.harvard.edu/abs/2007MNRAS.377..273S 377, 273
2007
-
[102]
Schady P., et al., 2024, @doi [ ] 10.1093/mnras/stae677 , https://ui.adsabs.harvard.edu/abs/2024MNRAS.529.2807S 529, 2807
2024 doi
-
[103]
I., Naidu R., Guseva N
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
2022 doi
-
[104]
F., Finkbeiner D
Schlafly E. F., Finkbeiner D. P., 2011, @doi [ ] 10.1088/0004-637X/737/2/103 , https://ui.adsabs.harvard.edu/abs/2011ApJ...737..103S 737, 103
2011 doi
-
[105]
J., Finkbeiner D
Schlegel D. J., Finkbeiner D. P., Davis M., 1998, @doi [ ] 10.1086/305772 , https://ui.adsabs.harvard.edu/abs/1998ApJ...500..525S 500, 525
1998 doi
-
[106]
D., Palmerio J
Schneider B., Le Floc'h E., Arabsalmani M., Vergani S. D., Palmerio J. T., 2022, @doi [ ] 10.1051/0004-6361/202243367 , https://ui.adsabs.harvard.edu/abs/2022A&A...666A..14S 666, A14
2022 doi
-
[107]
arXiv:2502.10499
Scholte D., et al., 2025, arXiv e-prints, https://ui.adsabs.harvard.edu/abs/2025arXiv250210499S p. arXiv:2502.10499
2025 arXiv
-
[108]
Schulze S., et al., 2015, @doi [ ] 10.1088/0004-637X/808/1/73 , https://ui.adsabs.harvard.edu/abs/2015ApJ...808...73S 808, 73
2015 doi
-
[109]
Shi W.-B., et al., 2014, @doi [Research in Astronomy and Astrophysics] 10.1088/1674-4527/14/7/010 , https://ui.adsabs.harvard.edu/abs/2014RAA....14..875S 14, 875
2014 doi
-
[110]
Starling R. L. C., et al., 2005, @doi [ ] 10.1051/0004-6361:200500181 , https://ui.adsabs.harvard.edu/abs/2005A&A...442L..21S 442, L21
2005 doi
-
[111]
Starling R. L. C., et al., 2011, @doi [ ] 10.1111/j.1365-2966.2010.17879.x , https://ui.adsabs.harvard.edu/abs/2011MNRAS.411.2792S 411, 2792
2011
-
[112]
Stasi \'n ska G., Izotov Y., 2003, @doi [ ] 10.1051/0004-6361:20021510 , https://ui.adsabs.harvard.edu/abs/2003A&A...397...71S 397, 71
2003 doi
-
[113]
Stasi \'n ska G., et al., eds, 2012, Oxygen in the Universe EAS Publications Series Vol. 54
2012
-
[114]
Stasi \'n ska G., Izotov Y., Morisset C., Guseva N., 2015, @doi [ ] 10.1051/0004-6361/201425389 , https://ui.adsabs.harvard.edu/abs/2015A&A...576A..83S 576, A83
2015 doi
-
[115]
C., et al., 2014, @doi [ ] 10.1088/0004-637X/795/2/165 , https://ui.adsabs.harvard.edu/abs/2014ApJ...795..165S 795, 165
Steidel C. C., et al., 2014, @doi [ ] 10.1088/0004-637X/795/2/165 , https://ui.adsabs.harvard.edu/abs/2014ApJ...795..165S 795, 165
2014 doi
-
[116]
J., Zeippen C
Storey P. J., Zeippen C. J., 2000, @doi [ ] 10.1046/j.1365-8711.2000.03184.x , https://ui.adsabs.harvard.edu/abs/2000MNRAS.312..813S 312, 813
2000
-
[117]
L., Steidel C
Strom A. L., Steidel C. C., Rudie G. C., Trainor R. F., Pettini M., 2018, @doi [ ] 10.3847/1538-4357/aae1a5 , https://ui.adsabs.harvard.edu/abs/2018ApJ...868..117S 868, 117
2018 doi
-
[118]
R., et al., 2012, @doi [ ] 10.1088/0004-637X/754/1/46 , https://ui.adsabs.harvard.edu/abs/2012ApJ...754...46T 754, 46
Tanvir N. R., et al., 2012, @doi [ ] 10.1088/0004-637X/754/1/46 , https://ui.adsabs.harvard.edu/abs/2012ApJ...754...46T 754, 46
2012 doi
-
[119]
M., Jensen J., Ellison S
Teimoorinia H., Jalilkhany M., Scudder J. M., Jensen J., Ellison S. L., 2021, @doi [ ] 10.1093/mnras/stab466 , https://ui.adsabs.harvard.edu/abs/2021MNRAS.503.1082T 503, 1082
2021 doi
-
[120]
C., et al., 2013, @doi [ ] 10.1093/mnras/sts303 , https://ui.adsabs.harvard.edu/abs/2013MNRAS.428.3590T 428, 3590
Th \"o ne C. C., et al., 2013, @doi [ ] 10.1093/mnras/sts303 , https://ui.adsabs.harvard.edu/abs/2013MNRAS.428.3590T 428, 3590
2013 doi
-
[121]
R., Edmunds M
Thurston T. R., Edmunds M. G., Henry R. B. C., 1996, @doi [ ] 10.1093/mnras/283.3..990 , https://ui.adsabs.harvard.edu/abs/1996MNRAS.283..990T 283, 990
1996 doi
-
[122]
R., et al., 2023, @doi [ ] 10.3847/1538-4357/acba8a , https://ui.adsabs.harvard.edu/abs/2023ApJ...945...35T 945, 35
Trump J. R., et al., 2023, @doi [ ] 10.3847/1538-4357/acba8a , https://ui.adsabs.harvard.edu/abs/2023ApJ...945...35T 945, 35
2023 doi
-
[123]
D., et al., 2015, @doi [ ] 10.1051/0004-6361/201425013 , https://ui.adsabs.harvard.edu/abs/2015A&A...581A.102V 581, A102
Vergani S. D., et al., 2015, @doi [ ] 10.1051/0004-6361/201425013 , https://ui.adsabs.harvard.edu/abs/2015A&A...581A.102V 581, A102
2015 doi
-
[124]
Vincenzo F., Belfiore F., Maiolino R., Matteucci F., Ventura P., 2016, @doi [ ] 10.1093/mnras/stw532 , https://ui.adsabs.harvard.edu/abs/2016MNRAS.458.3466V 458, 3466
2016 doi
-
[125]
M., et al., 2007, @doi [ ] 10.1051/0004-6361:20066780 , https://ui.adsabs.harvard.edu/abs/2007A&A...468...83V 468, 83
Vreeswijk P. M., et al., 2007, @doi [ ] 10.1051/0004-6361:20066780 , https://ui.adsabs.harvard.edu/abs/2007A&A...468...83V 468, 83
2007 doi
-
[126]
M., et al., 2013, @doi [ ] 10.1051/0004-6361/201219652 , https://ui.adsabs.harvard.edu/abs/2013A&A...549A..22V 549, A22
Vreeswijk P. M., et al., 2013, @doi [ ] 10.1051/0004-6361/201219652 , https://ui.adsabs.harvard.edu/abs/2013A&A...549A..22V 549, A22
2013 doi
-
[127]
Wiersema K., et al., 2007, @doi [ ] 10.1051/0004-6361:20066273 , https://ui.adsabs.harvard.edu/abs/2007A&A...464..529W 464, 529
2007 doi
-
[128]
M., Greiner J., Fynbo J
Wiseman P., Schady P., Bolmer J., Kr \"u hler T., Yates R. M., Greiner J., Fynbo J. P. U., 2017, @doi [ ] 10.1051/0004-6361/201629228 , https://ui.adsabs.harvard.edu/abs/2017A&A...599A..24W 599, A24
2017 doi
-
[129]
M., Gawiser E., Prochaska J
Wolfe A. M., Gawiser E., Prochaska J. X., 2005, @doi [ ] 10.1146/annurev.astro.42.053102.133950 , https://ui.adsabs.harvard.edu/abs/2005ARA&A..43..861W 43, 861
2005
-
[130]
E., 1993, @doi [ ] 10.1086/172359 , https://ui.adsabs.harvard.edu/abs/1993ApJ...405..273W 405, 273
Woosley S. E., 1993, @doi [ ] 10.1086/172359 , https://ui.adsabs.harvard.edu/abs/1993ApJ...405..273W 405, 273
1993 doi
-
[131]
M., Schady P., Chen T
Yates R. M., Schady P., Chen T. W., Schweyer T., Wiseman P., 2020, @doi [ ] 10.1051/0004-6361/201936506 , https://ui.adsabs.harvard.edu/abs/2020A&A...634A.107Y 634, A107
2020 doi
-
[132]
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.stat...
Reviewed August 7, 2026 · model on record in the stance chip above.
Discussion (0). Sign in to comment.