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arxiv: 2606.31549 · v1 · pith:AUSDQ74Onew · submitted 2026-06-30 · 🌌 astro-ph.GA

Electron Densities of Typical Low-Mass Galaxies at z~2-7 from Stacked JWST/NIRSpec Spectra

Pith reviewed 2026-07-01 04:42 UTC · model grok-4.3

classification 🌌 astro-ph.GA
keywords electron densityJWST/NIRSpechigh-redshift galaxiesstacked spectralow-mass galaxies[SII] doubletinterstellar mediumgalaxy evolution
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The pith

Stacked JWST spectra show electron density in low-mass galaxies rises from 100-150 cm^{-3} at z=2-5 to 381 cm^{-3} at z=5-7.

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

The paper stacks public JWST/NIRSpec medium-resolution spectra from the DAWN archive to measure average electron densities in low-mass galaxies at 2

Core claim

By stacking archival JWST/NIRSpec medium-resolution spectra, we measure [SII]-based electron densities n_e for low-mass galaxies, obtaining n_e ≃100--150 cm^{-3} at 2<z<5 and n_e=381^{+104}_{-89} cm^{-3} at 5<z<7, corresponding to an evolution n_e = n_{e,0} [(1+z)/(1+2.3)]^α with n_{e,0}=76^{+22}_{-23} cm^{-3} and α=1.88^{+0.60}_{-0.64}. A mass-matched stacking test gives a consistent rising trend, and individually measurable galaxies with both [SII] components detected at S/N>5 have a higher normalization.

What carries the argument

The [SII] λ6717/λ6731 doublet ratio used as an electron-density diagnostic on stacked spectra.

If this is right

  • The average gas density in low-mass galaxies was higher at earlier cosmic times.
  • Samples limited to individually strong [SII] detections select a denser subset of galaxies.
  • Stacking archival spectra gives direct access to typical interstellar medium properties below the single-object detection limit.
  • The redshift trend persists after matching on stellar mass.

Where Pith is reading between the lines

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

  • The measured density evolution may connect to changes in star-formation intensity or feedback efficiency across cosmic time.
  • These average densities could serve as a benchmark for hydrodynamic simulations of high-redshift galaxies.
  • Splitting future stacks by additional galaxy properties such as star-formation rate could test what drives the density increase.

Load-bearing premise

The stacked spectra from the DAWN JWST Archive accurately represent the average interstellar medium of typical low-mass galaxies without significant selection or stacking biases.

What would settle it

A large sample of individually detected [SII] doublets in low-mass galaxies at z>5 yielding densities near 100-150 cm^{-3} would falsify the stacked high-redshift measurement.

Figures

Figures reproduced from arXiv: 2606.31549 by Shihong Liu, Yu Rong.

Figure 1
Figure 1. Figure 1: Wide-window FSPS continuum fits and [SII] doublet fits. The four accepted stacked spectra are shown together with two representative high-S/N individual spectra. Black points or curves show the data, orange curves show the FSPS continuum model, and purple curves show the continuum plus the best-fitting [SII] double-Gaussian model. The blue and red dashed curves mark the continuum plus the [SII] 𝜆6717 and 𝜆… view at source ↗
Figure 2
Figure 2. Figure 2: Comparison between our individual-spectrum [SII] densities from wide-window FSPS continuum fitting and densities inferred from the DJA emission-line table. The comparison uses 97 objects with both fitted [SII] components detected at S/N > 5. The median offset is 0.016 dex. 4 DENSITY EVOLUTION [PITH_FULL_IMAGE:figures/full_fig_p004_2.png] view at source ↗
Figure 3
Figure 3. Figure 3: Electron density versus redshift from [SII]. Blue circles are individually measurable galaxies with both fitted [SII] components detected at S/N > 5; the blue dashed line and pale band show their equal-weight bootstrap trend. Red squares are the accepted wide-window FSPS stack measurements of the parent low-mass sample; purple open diamonds show the eMILES-template robustness check. Green open circles show… view at source ↗
read the original abstract

Direct electron-density measurements at high redshift are usually limited to galaxies with individually strong density-sensitive doublets, and therefore may not trace the average interstellar medium of ordinary low-mass galaxies. We stack public JWST/NIRSpec medium-resolution spectra from the DAWN JWST Archive to measure [SII]-based electron densities $n_e$ for low-mass galaxies at $2<z<7$. The accepted stacks yield $n_e\simeq100$--$150\ {\rm cm^{-3}}$ at $2<z<5$ and $n_e=381^{+104}_{-89}\ {\rm cm^{-3}}$ at $5<z<7$, corresponding to an evolution $n_e=n_{e,0}[(1+z)/(1+2.3)]^\alpha$ with $n_{e,0}=76^{+22}_{-23}\ {\rm cm^{-3}}$ and $\alpha=1.88^{+0.60}_{-0.64}$. A mass-matched stacking test gives a consistent rising trend, indicating that the increase is not driven solely by changing stellar-mass distributions. Individually measurable galaxies with both [SII] components detected at ${\rm S/N}>5$ have a higher normalization, $n_{e,0}=211^{+36}_{-31}\ {\rm cm^{-3}}$, showing that individual-doublet samples select a denser subset. Stacking archival JWST spectra therefore provides a direct route to measuring the average gas density of low-mass galaxies below the individual-doublet detection threshold.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Referee Report

3 major / 2 minor

Summary. The paper claims that stacking public JWST/NIRSpec medium-resolution spectra from the DAWN JWST Archive yields [SII]-based electron densities n_e ≃ 100–150 cm^{-3} for low-mass galaxies at 2 < z < 5 and n_e = 381^{+104}_{-89} cm^{-3} at 5 < z < 7. These measurements imply an evolution n_e = n_{e,0} [(1+z)/(1+2.3)]^α with n_{e,0} = 76^{+22}_{-23} cm^{-3} and α = 1.88^{+0.60}_{-0.64}. A mass-matched stacking test is reported to show the trend is not driven by stellar-mass distribution changes, while individually detected galaxies yield a higher normalization, indicating selection toward denser systems.

Significance. If the stacks are shown to be unbiased, the result would provide the first direct constraints on average ISM electron densities in typical low-mass galaxies below the individual-doublet detection threshold. The mass-matched test and comparison to individual detections are useful controls that strengthen the interpretation if the underlying procedures are robust.

major comments (3)
  1. [Methods] The manuscript provides no description of the stacking procedure (normalization, mean vs. median, outlier rejection, or weighting) or the sample selection criteria from the DAWN JWST Archive. This is load-bearing for the central claim that the reported [SII] ratios represent the average ISM of typical low-mass galaxies rather than a biased subset.
  2. [Results] No details are given on the line-fitting procedure applied to the stacked spectra, including how the [SII]6717/6731 ratio is extracted, continuum subtraction, or treatment of possible systematics such as blending or S/N weighting. These steps directly determine the reported n_e values and uncertainties at 5 < z < 7.
  3. [Discussion] The mass-matched test is mentioned but lacks quantitative details on the matching procedure, the resulting sample sizes, and whether other redshift-dependent selection effects (e.g., UV luminosity or emission-line strength cuts implicit in the archive) were controlled. This leaves open whether the reported rise in n_e could still be driven by selection rather than intrinsic evolution.
minor comments (2)
  1. [Abstract] The abstract states 'accepted stacks' without defining the acceptance criteria or reporting the number of galaxies contributing to each redshift bin.
  2. Notation for the evolution fit parameters could be clarified by explicitly stating the pivot redshift choice and its motivation.

Simulated Author's Rebuttal

3 responses · 0 unresolved

We thank the referee for their detailed and constructive comments. We address each major comment below and agree that additional methodological details are required for clarity.

read point-by-point responses
  1. Referee: [Methods] The manuscript provides no description of the stacking procedure (normalization, mean vs. median, outlier rejection, or weighting) or the sample selection criteria from the DAWN JWST Archive. This is load-bearing for the central claim that the reported [SII] ratios represent the average ISM of typical low-mass galaxies rather than a biased subset.

    Authors: We agree that the original manuscript omitted a sufficiently detailed description of sample selection and stacking. The revised version will add a dedicated Methods subsection specifying the DAWN JWST Archive selection criteria (stellar-mass range, redshift bins, S/N thresholds) and the stacking implementation (normalization by median continuum flux in line-free windows, median combination, 3-sigma outlier clipping, and absence of S/N weighting). revision: yes

  2. Referee: [Results] No details are given on the line-fitting procedure applied to the stacked spectra, including how the [SII]6717/6731 ratio is extracted, continuum subtraction, or treatment of possible systematics such as blending or S/N weighting. These steps directly determine the reported n_e values and uncertainties at 5 < z < 7.

    Authors: We concur that the line-fitting steps need explicit documentation. The revision will expand the Results section to describe the Gaussian profile fitting of the [SII] doublet, linear continuum subtraction from adjacent regions, simultaneous doublet fitting to handle blending, and uncertainty estimation via Monte Carlo noise realizations. These additions will directly support the quoted n_e values and errors. revision: yes

  3. Referee: [Discussion] The mass-matched test is mentioned but lacks quantitative details on the matching procedure, the resulting sample sizes, and whether other redshift-dependent selection effects (e.g., UV luminosity or emission-line strength cuts implicit in the archive) were controlled. This leaves open whether the reported rise in n_e could still be driven by selection rather than intrinsic evolution.

    Authors: We accept that quantitative details on the mass-matched test are insufficient. The revised Discussion will report the precise matching algorithm (stellar-mass binning and subset selection to equalize mass distributions), pre- and post-matching sample sizes, and explicit checks for residual UV-luminosity or line-strength selection biases. These additions will allow readers to evaluate whether the n_e trend is intrinsic. revision: yes

Circularity Check

0 steps flagged

No significant circularity; results are direct measurements and empirical fits

full rationale

The paper measures n_e directly from [SII] ratios in stacked spectra and reports the fitted evolution parameters n_{e,0} and α as outputs of a standard power-law fit to those binned measurements. No step reduces by construction to a prior input, self-citation, or ansatz; the central claims rest on the archival stacks themselves rather than any self-referential definition or imported uniqueness theorem. This is the expected non-finding for an observational stacking analysis.

Axiom & Free-Parameter Ledger

2 free parameters · 1 axioms · 0 invented entities

The central claim rests on the standard [SII] doublet diagnostic and the assumption that stacking yields an unbiased average; the evolution parameters are fitted to the stacked data points.

free parameters (2)
  • n_e0 = 76 cm^{-3}
    Normalization of the power-law evolution fitted to the stacked n_e measurements at different redshift bins.
  • alpha = 1.88
    Power-law index describing the redshift dependence of n_e, fitted to the same stacked measurements.
axioms (1)
  • domain assumption The [SII] λ6717/λ6731 line ratio is a reliable tracer of electron density in the relevant regime.
    Invoked implicitly when converting the stacked line ratios to n_e values.

pith-pipeline@v0.9.1-grok · 5816 in / 1440 out tokens · 37251 ms · 2026-07-01T04:42:07.452214+00:00 · methodology

discussion (0)

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Works this paper leans on

21 extracted references · 1 canonical work pages · 1 internal anchor

  1. [1]

    J., Dopita, M

    Bian, F., Kewley, L. J., Dopita, M. A., & Juneau, S. 2016, ApJ, 822, 62

  2. [2]

    2008, MNRAS, 385, 769

    Brinchmann, J., Pettini, M., & Charlot, S. 2008, MNRAS, 385, 769

  3. [3]

    E., & White, M

    Conroy, C., Gunn, J. E., & White, M. 2009, ApJ, 699, 486

  4. [4]

    Conroy, C., & Gunn, J. E. 2010, ApJ, 712, 833

  5. [5]

    L., Förster Schreiber, N

    Davies, R. L., Förster Schreiber, N. M., Genzel, R., et al. 2021, ApJ, 909, 78 de Graaff, A., Rix, H.-W., Carniani, S., et al. 2024, A&A, 684, A87

  6. [6]

    2022, A&A, 661, A81

    Ferruit, P., Jakobsen, P., Giardino, G., et al. 2022, A&A, 661, A81

  7. [7]

    E., Watson, D., Brammer, G., et al

    Heintz, K. E., Watson, D., Brammer, G., et al. 2024, Science, 384, 890

  8. [8]

    2023, ApJ, 956, 139 Kaasinen,M.,Bian,F.,Groves,B.,Kewley,L.J.,&Gupta,A.2017,MNRAS, 465, 3220

    Isobe, Y., Ouchi, M., Nakajima, K., et al. 2023, ApJ, 956, 139 Kaasinen,M.,Bian,F.,Groves,B.,Kewley,L.J.,&Gupta,A.2017,MNRAS, 465, 3220

  9. [9]

    J., Nicholls, D

    Kewley, L. J., Nicholls, D. C., & Sutherland, R. S. 2019, ARA&A, 57, 511

  10. [10]

    E., Coil, A

    Liu, X., Shapley, A. E., Coil, A. L., Brinchmann, J., & Ma, C.-P. 2008, ApJ, 678, 758

  11. [11]

    Luridiana, V., Morisset, C., & Shaw, R. A. 2015, A&A, 573, A42

  12. [12]

    2016, ApJ, 828, 18

    Masters, D., Faisst, A., Capak, P., et al. 2016, ApJ, 828, 18

  13. [13]

    E., & Ferland, G

    Osterbrock, D. E., & Ferland, G. J. 2006, Astrophysics of Gaseous Nebulae and Active Galactic Nuclei, 2nd edn. (Sausalito, CA: University Science Books)

  14. [14]

    C., Estrada-Carpenter, V., et al

    Papovich, C., Simons, R. C., Estrada-Carpenter, V., et al. 2022, ApJ, 937, 22

  15. [15]

    2014, A&A, 561, A10

    Proxauf, B., Öttl, S., & Kimeswenger, S. 2014, A&A, 561, A10

  16. [16]

    A., Topping, M

    Reddy, N. A., Topping, M. W., Sanders, R. L., Shapley, A. E., & Brammer, G. 2023, ApJ, 952, 167

  17. [17]
  18. [18]

    L., Shapley, A

    Sanders, R. L., Shapley, A. E., Kriek, M., et al. 2016, ApJ, 816, 23

  19. [19]

    2015, MNRAS, 448, 666

    Shimakawa, R., Kodama, T., Tadaki, K.-i., et al. 2015, MNRAS, 448, 666

  20. [20]

    W., Sanders, R

    Topping, M. W., Sanders, R. L., Shapley, A. E., et al. 2025, MNRAS, 541, 1707

  21. [21]

    2016, MNRAS, 463, 3409 MNRAS000, 000–000 (0000)

    Vazdekis, A., Koleva, M., Ricciardelli, E., Röck, B., & Falcón-Barroso, J. 2016, MNRAS, 463, 3409 MNRAS000, 000–000 (0000)