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Characterizing Stellar and Gas Properties in NGC 628: Spatial Distributions, Radial Gradients, and Resolved Scaling Relations

T0 review · 4 major / 4 minor · reviewed 2026-08-12 · deepseek-v4-flash

Pith's one-line read In the face-on spiral NGC 628, local gas-phase metallicity depends on stellar mass surface density alone, with no detectable extra dependence on star formation rate or neutral hydrogen column.

desk verdict A solid, mostly reproducible measurement paper whose headline null result—no secondary rMZR dependence—outruns its evidence; the FAST H I map is the real new contribution. read the letter →

arxiv 2411.16150 v1 pith:MKWHQ6PE submitted 2024-11-25 astro-ph.GA

classification astro-ph.GA
keywords HIIregionsresolvedmass-metallicityrelationstarformationmainsequenceradialmetallicitygradientneutralhydrogenNGC628inside-outgrowthgalaxychemicalenrichment
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 tries to establish that, inside the nearby face-on spiral galaxy NGC 628, the gas-phase metallicity of an H II region is fixed by the local stellar mass surface density, with no measurable extra dependence on how vigorously that region is forming stars or on the column density of neutral hydrogen around it. If this holds, it means the resolved mass–metallicity relation is a clean, single-variable law within this galaxy, and that H I gas acts as a passive reservoir rather than a modulator of chemical enrichment. The paper also reports a negative radial oxygen-abundance gradient of $-0.44$ dex $R_{25}^{-1}$ and a positive EW(H$\alpha$) gradient, which together support an “inside-out” growth picture. A reader should care because single-galaxy, kiloparsec-scale tests like this show whether global scaling relations survive at small scales and whether gas accretion leaves a detectable imprint on metal distributions.

What carries the argument

The central machinery is the pairing of H II region spectroscopy with SED-derived stellar mass surface densities and single-dish H I images. Oxygen abundances come from the O3N2 strong-line calibrator applied to extinction-corrected line ratios; stellar mass surface densities come from SED fitting to 23 photometric bands with stellar population synthesis models; and H I column densities come from FAST observations. The resolved relations are tested by fitting the rMZR and rSFMS and examining color-coded residuals against candidate third parameters.

What would settle it

If a deeper spectroscopic survey of NGC 628's outer disk (R/R$_{25}$ > 0.5) found a statistically significant correlation between metallicity residuals and $\Sigma_{\rm HI}$ or $\Sigma_{\rm SFR}$ after removing the $\Sigma_\star$ trend, the claimed null secondary dependence would be contradicted.

Watch

Extended reading notes

Core claim

Using 85 H II regions with S/N > 5 in H$\alpha$, H$\beta$, [O III], and [N II], the authors find a resolved mass–metallicity relation of slope $0.15 \pm 0.02$ dex per log $\Sigma_\star$ over $0.15 < R/R_{25} < 0.9$, consistent with comparable ~100 pc studies. They find no significant secondary dependence of the rMZR on E(B − V), $\Sigma_{\rm SFR}$, EW(H$\alpha$), or $\Sigma_{\rm HI}$. The oxygen abundance gradient is $-0.443 \pm 0.037$ dex $R_{25}^{-1}$, close to the direct-Te gradient from earlier work but with a lower normalization. FAST H I imaging reveals an extended disk of ~90 kpc at $N_{\rm HI} \geq 10^{19}$ cm$^{-2}$ and a total H I mass of $7.1 \times 10^9$ $M_\odot$, 1.86 times the value from the THINGS survey, with regular kinematics that indicate an isolated galaxy with ongoing gas accretion into an inner disk. The resolved star formation main sequence has slope $0.48 \pm 0.08$ dex per log $\Sigma_\star$, and both gas-phase extinction and EW(H$\alpha$) rise with $\Sigma_{\rm SFR}$.

Load-bearing premise

The 85 H II regions with S/N > 5 are assumed to be a fair sample of NGC 628's disk, but the faintest and outermost regions are likely missing, so if missing regions correlate with metallicity or H I column, both the gradient and the null secondary dependence could be biased.

Editorial extensions

If this is right

  • Within NGC 628, metallicity is predictable from stellar mass surface density alone at ~100 pc scales, so local metal maps can be reconstructed from stellar maps.
  • The null secondary dependence constrains gas-regulator models: in this galaxy, neither star formation rate nor H I column leaves a detectable imprint on the rMZR.
  • The steep negative abundance gradient and positive EW(H$\alpha$) gradient support an “inside-out” growth scenario for NGC 628.
  • The FAST H I disk extends to ~90 kpc and holds $7.1 \times 10^9$ $M_\odot$, implying a large reservoir of low-column-density gas that is not yet chemically processed.
  • The resolved star formation main sequence slope of 0.48 matches the low-density end of other ~100 pc studies, confirming the relation holds at sub-kiloparsec scales.

Reading between the lines

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

  • The null result may reflect the limited dynamic range of $\Sigma_{\rm HI}$ at the H II region positions; galaxies with stronger radial H I variations could still show a secondary dependence.
  • If the null holds across a larger galaxy sample, the H I-based secondary dependencies seen in integrated MZR studies may be driven by galaxy-to-galaxy variations rather than by local gas physics.
  • A direct-Te recalibration of the same spectra could shift the gradient’s normalization but should preserve the null if the secondary dependence truly is absent.
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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 / 4 minor

Summary. The paper compiles long-slit spectroscopy of 85 H II regions in NGC 628, multi-band photometry from UV to IR, and FAST/THINGS H I imaging to derive gas-phase extinction, SFR surface density, stellar mass surface density, oxygen abundance (O3N2 calibration), and resolved scaling relations. It reports a negative oxygen gradient (-0.443 dex R25^-1), a mild extinction gradient, a resolved SFMS slope of 0.48, and an extended FAST H I disk (~90 kpc, total mass 7.1e9 M_sun). The headline claim is that the resolved mass-metallicity relation (rMZR) shows no secondary dependence on SFR surface density or H I mass surface density. The paper also interprets the azimuthal uniformity and H I kinematics as evidence that NGC 628 is isolated and follows an inside-out growth scenario.

Significance. If the null secondary dependence is correct, the result would provide a useful single-galaxy constraint on resolved scaling relations in a low-inclination, isolated disk, complementing statistical MaNGA or MUSE samples. The FAST detection of extended H I and the revised total H I mass are valuable additions, and the paper offers a reference set of H II region measurements in Table 2. However, the statistical support for the headline null is currently insufficient: it rests on color-coded diagrams and unpartialled Spearman coefficients rather than residual or partial-correlation tests, and one section of the text explicitly states that the Sigma_SFR dependence is unclear. The claim should therefore be treated as tentative until the missing analysis is supplied.

major comments (4)
  1. [Abstract and §4.2.1] The central claim is internally inconsistent. Section 4.2.1 states, 'It remains unclear whether the relationship between rMZR and Sigma_SFR arises from the rSFMS or is influenced by SFR as a secondary parameter within rMZR,' and §4.2.2 opens by repeating this ambiguity. The Abstract and Summary (iii) nevertheless assert 'no secondary dependency of the resolved MZR on SFR surface density or H I mass surface density.' The abstract and summary must be limited to what the analysis supports, or the analysis must be extended to remove the ambiguity.
  2. [§4.2.1, Figures 10-13] The claimed null is not demonstrated statistically. Figure 12 reports whole-sample Spearman coefficients (e.g., r_s = 0.395 for 12+log(O/H) versus Sigma_SFR and r_s = -0.260 versus Sigma_HI), but these are marginal correlations that do not remove the dominant dependence on Sigma_star. The residual plot in Figure 10 shows Delta[12+log(O/H)] only against Sigma_star, not against any third parameter. Figures 11 and 13 color-code the rMZR by Sigma_SFR, EW(Ha), E(B-V), and Sigma_HI but perform no quantitative test. To support a null, the authors should compute partial Spearman correlations or residual-based correlations of the rMZR residuals with each third parameter, including uncertainties, and verify consistency with zero.
  3. [§4.2.2, Table 2] The resolved H I surface density used in the rMZR test is the THINGS 6-arcsec map (Table 2, columns 14-15), not the new FAST data. The extended low-column-density H I detected by FAST (column densities down to 5.2 x 10^18 cm^-2) is therefore excluded from the rMZR analysis. The abstract's 'no secondary dependency on H I mass surface density' is broader than the analysis supports. Please restrict the claim to the THINGS-resolution disk or construct a FAST-based Sigma_HI map at matched resolution and repeat the test.
  4. [§2.1, Table 2] The sample selection and completeness are not quantified. From 183 extracted spectra, 56 are rejected at the visual-inspection stage and only 85 have S/N > 5 in all four lines. The faintest and outermost H II regions are likely under-represented; if this selection correlates with metallicity or Sigma_HI, it could bias both the radial gradient in §4.1.3 and the null secondary-dependence claim. Please provide a radial completeness analysis and a check of whether including fainter regions (where possible) or simulating the selection changes the residual correlations.
minor comments (4)
  1. [§3.4, §3.6, Table 2] There is a unit inconsistency: Eqs. (3) and (6) define Sigma_SFR and Sigma_star in M_sun yr^-1 pc^-2 and M_sun pc^-2, respectively, while Table 2 lists logarithmic values in M_sun yr^-1 kpc^-2 and M_sun kpc^-2. The figures also vary between pc^-2 and kpc^-2. Please standardize the units in the text, table, and figures, or explicitly state the conversion used.
  2. [Throughout] The manuscript contains numerous typographical errors and unicode artifacts (e.g., 'parmeters', 'disbribution', 'esitmated', 'derivied', 'hightened', and rendered symbols such as '/uni2218' or 'M/uni2299' in figure axis labels). These should be corrected before publication.
  3. [§4.1.3] The comparison with Kreckel et al. (2019) uses their gradient of -0.164 dex R25^-1 over 0.1 < R/R25 < 0.5, while the present fit is over 0.15 < R/R25 < 0.9. A like-for-like radial-range fit would make the comparison more meaningful.
  4. [§4.2.3] In the text, the rSFMS intercept is quoted without units; since the accompanying figure uses pc^-2 units and Table 2 uses kpc^-2, specifying the units of the intercept is necessary to avoid ambiguity.

Circularity Check

0 steps flagged · score 1.0 of 10

No circular reduction: the resolved relations are direct fits to externally calibrated measurements, and the self-citations supply data products or methodology rather than the derived result.

full rationale

The derivation chain is not circular. Gas-phase metallicity comes from the O3N2 ratio with the external Marino et al. (2013) calibration (Eq. 5); SFR surface density comes from extinction-corrected H-alpha luminosity with the external Hao et al. (2011) calibration (Eq. 2); stellar mass surface density comes from SED fitting to multi-band photometry; and H I surface density comes from THINGS/FAST observations. The rMZR and rSFMS are then direct fits to these independently measured quantities, with no parameter fitted to a subset and then renamed as a prediction for the same data. The self-citations to Zou et al. (2011) and Wei et al. (2020, 2021) supply previously published imaging data and SED-fitting methodology; they are not used as unverified uniqueness theorems or to forbid alternative interpretations. The 'inside-out' interpretation is a consistency argument based on the observed gradients, not an output forced by the fitting procedure. The main weakness is evidentiary rather than circular: the claim of 'no secondary dependency' of the rMZR on Sigma_SFR or Sigma_HI is supported by color-coded visual inspection (Figs. 11 and 13) rather than a partial-correlation or residual test, and Section 4.2.1 itself states that 'it remains unclear whether the relationship between rMZR and Sigma_SFR arises from the rSFMS or is influenced by SFR as a secondary parameter within rMZR.' This internal tension affects the strength of the null claim, and the use of THINGS rather than FAST H I for the resolved rMZR test narrows its scope, but neither issue makes the claim equivalent to its inputs by construction. No circular step can be exhibited from the paper's equations or cited load-bearing premises.

Assumptions & free parameters 2 free parameters · 7 assumptions · 0 invented entities

The central claims rest on standard observational calibrations (O3N2 metallicity, H-alpha SFR, SED stellar masses) and two adopted geometric parameters. No new physical entities or forces are postulated. The most fragile inputs are the O3N2 calibration and the assumption that the 85 selected H II regions fairly sample the disk.

free parameters (2)
  • O3N2 calibration coefficients = intercept 8.533, slope -0.214
    All oxygen abundances and the gradient in Eq. 7 are computed from the Marino et al. (2013) empirical O3N2 calibrator; the coefficients are fitted to an external sample, not re-derived here, but the central metallicity claims inherit their systematic uncertainty (0.18 dex).
  • H-alpha SFR conversion factor = 5.4e-42 Msun/yr per (erg/s)
    Equation 2 converts extinction-corrected H-alpha luminosity to SFR using the Hao et al. (2011) calibration; the rSFMS slope and the Sigma_SFR gradients depend on this adopted factor.
assumptions (7)
  • domain assumption O3N2 strong-line ratio is a single-valued, monotonic tracer of oxygen abundance over the range -1.1 < O3N2 < 1.7
    Invoked in Section 3.5; if the calibration is biased at high or low abundance (e.g., radial-dependent ionization conditions), the metallicity gradient in Eq. 7 would be affected. The paper notes different calibrators give different absolute values.
  • standard math The intrinsic Balmer decrement is H-alpha/H-beta = 2.86 for case B recombination at Te = 10^4 K, ne = 10^2 cm^-3
    Used in Eq. 1 for reddening; deviations due to collisional excitation or absorption would bias E(B-V) and all corrected line ratios.
  • domain assumption The Cardelli et al. (1989) extinction law with R_V = 3.1 describes the dust attenuation toward H II regions
    Used in Sections 3.1-3.2; the authors state the choice of extinction law changes E(B-V) by only ~0.03 mag, below the ~0.1 mag measurement error.
  • domain assumption Chabrier (2003) IMF and Bruzual & Charlot (2003) SSP templates give reliable stellar masses and SFRs
    Used in Section 3.1 for the continuum fitting and in Section 3.6 for SED-derived Sigma_star; the rMZR and rSFMS depend on these model choices.
  • domain assumption The 85 BPT-classified star-forming H II regions are representative of the ISM; DIG, shocks, and AGN contribute negligibly in the selected apertures
    BPT selection (Section 3.3) excludes the one AGN-like point; if diffuse ionized gas contaminates the apertures, line ratios and derived abundances would be biased.
  • domain assumption The FAST single-dish reduction (Wang et al. 2023) correctly separates extended H I from baseline systematics
    The claimed H I mass of 7.1e9 Msun and 90 kpc extent (Section 2.2) depend on this; no error bars or comparison of independent calibrators are given.
  • domain assumption NGC 628 is at distance 7.3 Mpc with inclination 7 degrees
    Adopted from Walter et al. (2008), used for area normalization in Eqs. 3 and 6; a different distance would rescale all surface densities.

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Pith. "Pith review of Characterizing Stellar and Gas Properties in NGC 628: Spatial Distributions, Radial Gradients, and Resolved Scaling Relations." pith.science (2026). https://pith.science/paper/MKWHQ6PE

@misc{pith2026241116150,
  author       = {Pith},
  title        = {Pith review of: Characterizing Stellar and Gas Properties in NGC 628: Spatial Distributions, Radial Gradients, and Resolved Scaling Relations},
  year         = {2026},
  howpublished = {\url{https://pith.science/paper/MKWHQ6PE}},
  note         = {Machine review of arXiv:2411.16150}
}
abstract

Building on our previous research of multi-wavelength data from UV to IR, we employ spectroscopic observations of ionized gas, as well as neutral hydrogen gas obtained from the Five-hundred Meter Aperture Spherical Telescope (FAST), to explore the intrinsic processes of star formation and chemical enrichment within NGC 628. Our analysis focuses on several key properties, including gas-phase extinction, star formation rate (SFR) surface density, oxygen abundance, and H I mass surface density. The azimuthal distributions of these parameters in relation to the morphological and kinematic features of FAST H I reveal that NGC 628 is an isolated galaxy that has not undergone recent interactions. We observe a mild radial extinction gradient accompanied by a notable dispersion. The SFR surface density also shows a gentle radial gradient, characteristic of typical spiral galaxies. Additionally, we find a negative radial metallicity gradient of $-0.44$ dex $R_{25}^{-1}$, supporting the "inside-out" scenario of galaxy formation. We investigate the resolved Mass-Metallicity Relation (MZR) and the resolved Star Formation Main Sequence (SFMS) alongside their dependencies on the physical properties of both ionized and neutral hydrogen gas. Our findings indicate no secondary dependency of the resolved MZR on SFR surface density or H I mass surface density. Furthermore, we observe that gas-phase extinction and the equivalent width of H{\alpha} both increase with SFR surface density in the resolved SFMS.

Figures

Figures reproduced from arXiv: 2411.16150 by the authors.

Figure 1
Figure 1. depicts the slit positions overlaid on a continuum-subtracted Hα image of NGC 628. Each slit, measuring 4′ in length and 2.′′5 in width (ap￾proximately 87.5 pc at the distance of NGC 628) was positioned strategically. At the beginning and end of each observing night, bias and dome flat frames were acquired for the preprocessing of raw CCD images of the science targets, as well as for He-Ar arc lamp and standard star… view at source ↗
Figure 2
Figure 2. The H I integrated intensity map and the velocity field of NGC 628 from the FAST H I observations. There is a significantly broader coverage of H I column density map compared to THINGS. Left: the black contours represent the FAST H I column density integrated over 492-780 km s−1 , with contour levels begin at 0.18 Jy km s−1 , which corresponds to a column density of 5.2 × 1018 cm−2 . The green contours represent th… view at source ↗
Figure 3
Figure 3. A high signal-to-noise ratio (S/N) spectrum of an H II region observed with the Xinglong 2.16 m telescope (black) is shown in the upper panel. The best-fit model spectrum is overplotted in red. In the lower panel, the residual spectrum, representing the difference between the observed and model spectra, is displayed. The horizontal red line indicates zero residual. The vertical dashed lines mark the emission lines u… view at source ↗
Figures from the paper (12 more)
Figure 4
Figure 4. Figure 4: presents 85 spectral samples on the BPT di￾agram, all of which correspond to star-forming regions situated close to or below the Kauffmann demarcation curve with only one exceptions. Additional spectra, not included in the BPT diagram due to insufficient S/Ns for emiss…
Figure 5
Figure 5. Figure 5: Azimuthal distributions of oxygen abundance (top left), dust extinction (top right), EW(Hα) (bottom left) and ΣSFR (bottom right) for the H II regions in NGC 628. These four physical parameters exhibit minimal variations in the azimuthal distribution. The position angl…
Figure 6
Figure 6. Figure 6: Two-dimensional distribution and radial distribution of the gas-phase extinction in NGC 628. Left: the contours represents the isophotal shapes of the Hα emission, with the center of NGC 628 indicated by a plus sign. Right: the blue diamonds with vertical error bars re…
Figure 7
Figure 7. Figure 7: Two-dimensional distribution and deprojected radial distribution of the oxygen abundance of the H II regions in NGC 628. It exhibits a negative metallicity gradient across the discs. Left: the contours display the isophotal shapes of the Hα emission with the center of …
Figure 8
Figure 8. Figure 8: Two-dimensional distribution and deprojected radial distribution of EW(Hα) in logarithmic scale in NGC 628. Left: the contours represent the isophotal shapes of the Hα emission, with the center of NGC 628 marked by a plus sign. Right: the blue diamonds with vertical er…
Figure 9
Figure 9. Figure 9: Two-dimensional distribution and deprojected radial distribution of the SFR surface density in logarithmic scale in NGC 628. It exhibits a steady decline with galactocentric distance, albeit with notable scatter. Left: the contours represent the isophotal shapes of the…
Figure 10
Figure 10. Figure 10: Spatially resolved stellar surface mass density - gas metallicity relation for NGC 628. Upper: the blue dashed lines indicate the linear fit to the data. The vertical error bar represents the systematic uncertainty of the O3N2 calibrator from Marino et al. (2013). Bot…
Figure 11
Figure 11. Figure 11: The rMZR color-coded with various physical parameters including galactocentric distance (a), dust extinction (b), ΣSFR (c) and EW(Hα) (d). The dependence of rMZR on these four parameters are presented. 5 5     ⊙   [PITH_FULL_IMAGE:figures/full_fig…
Figure 12
Figure 12. Figure 12: The dependence of ΣH I and Y . From left to right, Y is defined as Σ⋆, gas-phase oxygen abundance and ΣSFR, respectively. In each panel, the blue diamonds represent the median values for each radial bin, with accompanying vertical error bars indicating the median and …
Figure 13
Figure 13. Figure 13: rMZR color-coded with ΣH I . l⋆  ⋆ ⋆ ⋆ ⋆ l  ⋆ ⋆        [PITH_FULL_IMAGE:figures/full_fig_p016_13.png]
Figure 14
Figure 14. Figure 14: Spatially resolved stellar surface mass density - SFR surface density relation for NGC 628. Upper: the blue solid line presents the linear fit to the data. Bottom: the residuals ∆logΣSFR as a function of logΣ⋆. Just as we investigate the dependence of rMZR with galaxy…
Figure 15
Figure 15. Figure 15: The rSFMS color-coded with different physical parameters of galactocentric distance (a), dust extinction (b), 12+log(O/H) (c) and EW(Hα) (d). The dependence of rSFMS on these four parameters are presented. Consistent with most spiral galaxies, NGC 628 shows a positive…

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Works this paper leans on

81 extracted references · 13 canonical work pages

  1. [1]

    adobe:ns:meta/

    thebibliography [1] 20pt to REFERENCES 6pt =0pt 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 on reference command Each re...

  2. [2]

    A., Phillips, M

    Baldwin, J. A., Phillips, M. M., & Terlevich, R.\ 1981, , 93, 5. doi:10.1086/130766

  3. [3]

    K., Heckman, T

    Barrera-Ballesteros, J. K., Heckman, T. M., Zhu, G. B., et al.\ 2016, , 463, 2513

  4. [4]

    K., S \'a nchez, S

    Barrera-Ballesteros, J. K., S \'a nchez, S. F., Espinosa-Ponce, C., et al.\ 2023, , 59, 213. doi:10.22201/ia.01851101p.2023.59.02.06

  5. [5]

    A., Skillman, E

    Berg, D. A., Skillman, E. D., Croxall, K. V., et al.\ 2015, , 806, 16. doi:10.1088/0004-637X/806/1/16

  6. [6]

    S., Maiolino, R., Cicone, C., et al.\ 2016, , 595, A48

    Bothwell, M. S., Maiolino, R., Cicone, C., et al.\ 2016, , 595, A48. doi:10.1051/0004-6361/201527918

  7. [7]

    Bradley, L., Sip o cz, B., Robitaille, T., et al.\ 2022, Zenodo

  8. [9]

    doi:10.1093/mnras/stx2452

    Brown, T., Cortese, L., Catinella, B., et al.\ 2018, , 473, 1868. doi:10.1093/mnras/stx2452

Show all 81 references
  1. [10]

    doi:10.1046/j.1365-8711.2003.06897.x

    Bruzual, G., & Charlot, S.\ 2003, , 344, 1000. doi:10.1046/j.1365-8711.2003.06897.x

  2. [11]

    A., Law, D

    Bundy, K., Bershady, M. A., Law, D. R., et al.\ 2015, , 798, 7. doi:10.1088/0004-637X/798/1/7

  3. [12]

    F., Zibetti, S., et al.\ 2016, , 821, L26

    Cano-D \' az, M., S \'a nchez, S. F., Zibetti, S., et al.\ 2016, , 821, L26. doi:10.3847/2041-8205/821/2/L26

  4. [13]

    F., et al.\ 2019, , 488, 3929

    Cano-D \' az, M., \'A vila-Reese, V., S \'a nchez, S. F., et al.\ 2019, , 488, 3929. doi:10.1093/mnras/stz1894

  5. [14]

    C., et al.\ 2000, , 533, 682

    Calzetti, D., Armus, L., Bohlin, R. C., et al.\ 2000, , 533, 682. doi:10.1086/308692

  6. [15]

    A., Clayton, G

    Cardelli, J. A., Clayton, G. C., & Mathis, J. S.\ 1989, , 345, 245. doi:10.1086/167900

  7. [16]

    doi:10.1051/0004-6361/201526023

    Catal \'a n-Torrecilla, C., Gil de Paz, A., Castillo-Morales, A., et al.\ 2015, , 584, A87. doi:10.1051/0004-6361/201526023

  8. [17]

    doi:10.1086/376392

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

  9. [18]

    doi:10.3847/1538-4357/ac70d0

    Chen, X., Wang, J., & Kong, X.\ 2022, , 933, 39. doi:10.3847/1538-4357/ac70d0

  10. [19]

    & Povich, M

    Chomiuk, L. & Povich, M. S.\ 2011, , 142, 197. doi:10.1088/0004-6256/142/6/197

  11. [20]

    doi:10.1111/j.1365-2966.2005.08752.x

    Cid Fernandes, R., Mateus, A., Sodr \'e , L., et al.\ 2005, , 358, 363. doi:10.1111/j.1365-2966.2005.08752.x

  12. [21]

    E., Urban, S

    Corbin, T. E., Urban, S. E., & Warren, W. H.\ 1991, Astrographic Catalogue Reference Stars (Corbin and Urban 1991). Documentation for the machine-readable version., by Corbin, T. E.; Urban, S. E.; Warren, W. H., Jr.. National Aeronautics and Space Administration (NASA), Greenb...

  13. [22]

    G., et al.\ 1995, VizieR Online Data Catalog, VII/155

    de Vaucouleurs, G., de Vaucouleurs, A., Corwin, H. G., et al.\ 1995, VizieR Online Data Catalog, VII/155

  14. [23]

    M., den Brok, M., et al.\ 2019, , 484, 5009

    Erroz-Ferrer, S., Carollo, C. M., den Brok, M., et al.\ 2019, , 484, 5009. doi:10.1093/mnras/stz194

  15. [24]

    doi:10.1086/497385

    Fabricant, D., Fata, R., Roll, J., et al.\ 2005, , 117, 1411. doi:10.1086/497385

  16. [25]

    doi:10.1086/118039

    Fan, X., Burstein, D., Chen, J.-S., et al.\ 1996, , 112, 628. doi:10.1086/118039

  17. [26]

    doi:10.1088/1538-3873/128/969/115005

    Fan, Z., Wang, H., Jiang, X., et al.\ 2016, , 128, 115005. doi:10.1088/1538-3873/128/969/115005

  18. [27]

    doi:10.3847/1538-4357/aae9f1

    Gao, Y., Wang, E., Kong, X., et al.\ 2018, , 868, 89. doi:10.3847/1538-4357/aae9f1

  19. [28]

    M., P \'e rez, E., et al.\ 2019, , 621, A120

    Garc \' a-Benito, R., Gonz \'a lez Delgado, R. M., P \'e rez, E., et al.\ 2019, , 621, A120. doi:10.1051/0004-6361/201833993

  20. [29]

    F., et al.\ 2007, , 173, 185

    Gil de Paz, A., Boissier, S., Madore, B. F., et al.\ 2007, , 173, 185. doi:10.1086/516636

  21. [30]

    M., Cid Fernandes, R., P \'e rez, E., et al.\ 2016, , 590, A44

    Gonz \'a lez Delgado, R. M., Cid Fernandes, R., P \'e rez, E., et al.\ 2016, , 590, A44. doi:10.1051/0004-6361/201628174

  22. [31]

    doi:10.1093/mnras/stad114

    Groves, B., Kreckel, K., Santoro, F., et al.\ 2023, , 520, 4902. doi:10.1093/mnras/stad114

  23. [32]

    C., Johnson, B

    Hao, C.-N., Kennicutt, R. C., Johnson, B. D., et al.\ 2011, , 741, 124. doi:10.1088/0004-637X/741/2/124

  24. [33]

    doi:10.3847/1538-4357/aaa6ca

    Hu, N., Wang, E., Lin, Z., et al.\ 2018, , 854, 68. doi:10.3847/1538-4357/aaa6ca

  25. [34]

    C., Lin, L., Lin, J

    Hsieh, B. C., Lin, L., Lin, J. H., et al.\ 2017, , 851, L24. doi:10.3847/2041-8213/aa9d80

  26. [35]

    doi:10.1007/s11433-018-9376-1

    Jiang, P., Yue, Y., Gan, H., et al.\ 2019, Science China Physics, Mechanics, and Astronomy, 62, 959502. doi:10.1007/s11433-018-9376-1

  27. [36]

    doi:10.1088/1674-4527/20/5/64

    Jiang, P., Tang, N.-Y., Hou, L.-G., et al.\ 2020, Research in Astronomy and Astrophysics, 20, 064. doi:10.1088/1674-4527/20/5/64

  28. [37]

    M., Tremonti, C., et al.\ 2003, , 346, 1055

    Kauffmann, G., Heckman, T. M., Tremonti, C., et al.\ 2003, , 346, 1055. doi:10.1111/j.1365-2966.2003.07154.x

  29. [38]

    Kennicutt, R. C. & Garnett, D. R.\ 1996, , 456, 504. doi:10.1086/176675

  30. [39]

    C., Armus, L., Bendo, G., et al.\ 2003, , 115, 928

    Kennicutt, R. C., Armus, L., Bendo, G., et al.\ 2003, , 115, 928. doi:10.1086/376941

  31. [40]

    Kennicutt, R. C. & Evans, N. J.\ 2012, , 50, 531. doi:10.1146/annurev-astro-081811-125610

  32. [41]

    J., Dopita, M

    Kewley, L. J., Dopita, M. A., Sutherland, R. S., et al.\ 2001, , 556, 121. doi:10.1086/321545

  33. [42]

    Kewley, L. J. & Dopita, M. A.\ 2002, , 142, 35. doi:10.1086/341326

  34. [44]

    rong ., et al.\ 2014, , 38, 427

    Kong, X., Lin, L., Li, J.-. rong ., et al.\ 2014, , 38, 427. doi:10.1016/j.chinastron.2014.10.009

  35. [45]

    A., et al.\ 2019, , 887, 80

    Kreckel, K., Ho, I.-T., Blanc, G. A., et al.\ 2019, , 887, 80. doi:10.3847/1538-4357/ab5115

  36. [46]

    & Weidner, C.\ 2003, , 598, 1076

    Kroupa, P. & Weidner, C.\ 2003, , 598, 1076. doi:10.1086/379105

  37. [47]

    doi:10.3847/1538-4357/aa6f14

    Lin, Z., Hu, N., Kong, X., et al.\ 2017, , 842, 97. doi:10.3847/1538-4357/aa6f14

  38. [48]

    A., Rosales-Ortega, F

    Marino, R. A., Rosales-Ortega, F. F., S \'a nchez, S. F., et al.\ 2013, , 559, A114. doi:10.1051/0004-6361/201321956

  39. [49]

    M., Heckman, T

    Moran, S. M., Heckman, T. M., Kauffmann, G., et al.\ 2012, , 745, 66. doi:10.1088/0004-637X/745/1/66

  40. [50]

    & Kennicutt, R

    Moustakas, J. & Kennicutt, R. C.\ 2006, , 651, 155. doi:10.1086/507570

  41. [51]

    Moustakas, J., Zaritsky, D., Brown, M., et al.\ 2011, arXiv:1112.3300

  42. [52]

    doi:10.1142/S0218271811019335

    Nan, R., Li, D., Jin, C., et al.\ 2011, International Journal of Modern Physics D, 20, 989. doi:10.1142/S0218271811019335

  43. [53]

    Osterbrock, D. E. & Ferland, G. J.\ 2006, Astrophysics of gaseous nebulae and active galactic nuclei, 2nd. ed. by D.E. Osterbrock and G.J. Ferland. Sausalito, CA: University Science Books, 2006

  44. [54]

    doi:10.1093/mnras/stab449

    Parikh, T., Thomas, D., Maraston, C., et al.\ 2021, , 502, 5508. doi:10.1093/mnras/stab449

  45. [55]

    doi:10.1051/0004-6361/202140733

    Pessa, I., Schinnerer, E., Belfiore, F., et al.\ 2021, , 650, A134. doi:10.1051/0004-6361/202140733

  46. [56]

    & Pagel, B

    Pettini, M. & Pagel, B. E. J.\ 2004, , 348, L59. doi:10.1111/j.1365-2966.2004.07591.x

  47. [57]

    Pilyugin, L. S. & Thuan, T. X.\ 2005, , 631, 231. doi:10.1086/432408

  48. [58]

    & Peng, Y.-

    Renzini, A. & Peng, Y.-. jie .\ 2015, , 801, L29. doi:10.1088/2041-8205/801/2/L29

  49. [59]

    F., D \' az, A

    Rosales-Ortega, F. F., D \' az, A. I., Kennicutt, R. C., et al.\ 2011, , 415, 2439. doi:10.1111/j.1365-2966.2011.18870.x

  50. [60]

    F., S \'a nchez, S

    Rosales-Ortega, F. F., S \'a nchez, S. F., Iglesias-P \'a ramo, J., et al.\ 2012, , 756, L31. doi:10.1088/2041-8205/756/2/L31

  51. [61]

    F., M \'e ndez-Abreu, J., et al.\ 2014, , 570, A6

    S \'a nchez-Bl \'a zquez, P., Rosales-Ortega, F. F., M \'e ndez-Abreu, J., et al.\ 2014, , 570, A6. doi:10.1051/0004-6361/201423635

  52. [62]

    doi:10.1093/mnras/stt1984

    S \'a nchez-Bl \'a zquez, P., Rosales-Ortega, F., Diaz, A., et al.\ 2014, , 437, 1534. doi:10.1093/mnras/stt1984

  53. [64]

    F., Rosales-Ortega, F

    S \'a nchez, S. F., Rosales-Ortega, F. F., Iglesias-P \'a ramo, J., et al.\ 2014, , 563, A49

  54. [65]

    F., Barrera-Ballesteros, J

    S \'a nchez, S. F., Barrera-Ballesteros, J. K., L \'o pez-Cob \'a , C., et al.\ 2019, , 484, 3042. doi:10.1093/mnras/stz019

  55. [66]

    F.\ 2020, , 58, 99

    S \'a nchez, S. F.\ 2020, , 58, 99. doi:10.1146/annurev-astro-012120-013326

  56. [67]

    F., P \'e rez, I., et al.\ 2018, , 609, A119

    S \'a nchez-Menguiano, L., S \'a nchez, S. F., P \'e rez, I., et al.\ 2018, , 609, A119. doi:10.1051/0004-6361/201731486

  57. [68]

    Schlafly, E. F. & Finkbeiner, D. P.\ 2011, , 737, 103. doi:10.1088/0004-637X/737/2/103

  58. [69]

    J., Finkbeiner, D

    Schlegel, D. J., Finkbeiner, D. P., & Davis, M.\ 1998, , 500, 525. doi:10.1086/305772

  59. [70]

    S., Steinhardt, C

    Speagle, J. S., Steinhardt, C. L., Capak, P. L., et al.\ 2014, , 214, 15. doi:10.1088/0067-0049/214/2/15

  60. [71]

    A., Heckman, T

    Tremonti, C. A., Heckman, T. M., Kauffmann, G., et al.\ 2004, , 613, 898. doi:10.1086/423264

  61. [72]

    C.\ 2007, , 466, 883

    van der Kruit, P. C.\ 2007, , 466, 883. doi:10.1051/0004-6361:20066941

  62. [73]

    Walter, F., Brinks, E., de Blok, W. J. G., et al.\ 2008, , 136, 2563. doi:10.1088/0004-6256/136/6/2563

  63. [74]

    doi:10.1111/j.1365-2966.2010.17962.x

    Wang, J., Kauffmann, G., Overzier, R., et al.\ 2011, , 412, 1081. doi:10.1111/j.1365-2966.2010.17962.x

  64. [75]

    doi:10.3847/1538-4357/acafe8

    Wang, J., Yang, D., Oh, S.-H., et al.\ 2023, , 944, 102. doi:10.3847/1538-4357/acafe8

  65. [76]

    doi:10.1088/1538-3873/ab9d92

    Wei, P., Zou, H., Kong, X., et al.\ 2020, , 132, 094101. doi:10.1088/1538-3873/ab9d92

  66. [77]

    doi:10.1088/1674-4527/21/1/6

    Wei, P., Zou, H., Lin, L., et al.\ 2021, Research in Astronomy and Astrophysics, 21, 006. doi:10.1088/1674-4527/21/1/6

  67. [78]

    doi:10.3847/1538-4357/ac26b7

    Xu, J.-L., Zhang, C.-P., Yu, N., et al.\ 2021, , 922, 53. doi:10.3847/1538-4357/ac26b7

  68. [79]

    G., Adelman, J., Anderson, J

    York, D. G., Adelman, J., Anderson, J. E., et al.\ 2000, , 120, 1579. doi:10.1086/301513

  69. [80]

    J., Rosado, M., et al.\ 2018, , 234, 35

    Zaragoza-Cardiel, J., Smith, B. J., Rosado, M., et al.\ 2018, , 234, 35. doi:10.3847/1538-4365/aaa255

  70. [81]

    doi:10.1093/mnrasl/slz093

    Zaragoza-Cardiel, J., Fritz, J., Aretxaga, I., et al.\ 2019, , 487, L61. doi:10.1093/mnrasl/slz093

  71. [82]

    doi:10.1088/0004-637X/710/1/663

    Zhao, Y., Gao, Y., & Gu, Q.\ 2010, , 710, 663. doi:10.1088/0004-637X/710/1/663

  72. [83]

    doi:10.1088/0004-6256/142/1/16

    Zou, H., Zhang, W., Yang, Y., et al.\ 2011, , 142, 16. doi:10.1088/0004-6256/142/1/16

  73. [84]

    doi:10.1093/mnras/staa1457

    Zu, Y.\ 2020, , 496, 111. doi:10.1093/mnras/staa1457

Pith tools

Reviewed August 12, 2026 · model on record in the stance chip above.