REVIEW 3 major objections 6 minor 129 references
Azimuthal offsets in spiral arms of nearby galaxies
T0 review · 3 major / 6 minor · reviewed 2026-08-05 · deepseek-v4-flash
Pith's one-line read In 24 well-delineated spiral galaxies, only 17% show the offset signature that quasi-stationary density wave theory predicts, while the rest point to multiple spiral modes or material arms.
desk verdict Useful census with a taxonomy built on the wrong statistical test; still worth publishing after revision. 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 engine is the azimuthal offset θ between the peak CO emission and the peak Hα emission, computed in ~100 pc radial bins (elliptical annuli matched to the disc inclination) and restricted to spiral masks, with the sign set so positive means Hα leads CO in the direction of galactic rotation. The interpretive engine is the predicted radial behaviour of θ in three scenarios: a single quasi-stationary density wave gives positive offsets that decline with radius and flip sign at co-rotation; multiple overlapping modes give positive offsets with no consistent trend; material arms give offsets scattered about zero. Following Egusa et al. (2009), for the four galaxies with a real decl
What would settle it
For the four class-A galaxies (NGC 1385, NGC 1566, NGC 2283, NGC 4303), map CO and extinction-corrected Hα beyond the expected co-rotation radii: a single pattern speed requires offsets to shrink to zero and turn negative there, so offsets that stay positive would falsify the density-wave reading. A cheaper check is Balmer-decrement extinction maps at ~100 pc resolution: if correcting for dust removes the declining radial trends, the class-A classification collapses.
Extended reading notes
Core claim
In 24 well-delineated spirals (23 PHANGS galaxies plus M51), the paper measures azimuthal offsets between CO and Hα peaks in ~100 pc radial bins. Offsets scatter at the kiloparsec level everywhere, but galaxy averages split the sample three ways: 14 galaxies show net positive offsets (Hα leading CO by a few hundred parsecs); only 4 of these (17%) show the declining radial trend a single quasi-stationary density wave predicts, their fitted pattern speeds matching independent Tremaine-Weinberg values; 10 (42%) show positive offsets with no radial trend, compatible with multiple overlapping modes; and 10 (42%) show no significant positive offset, compatible with material arms or transient dynam
Load-bearing premise
The classification hinges on the assumption that radially varying dust extinction does not systematically pull Hα peaks toward the galaxy centre enough to fake the declining-offset signature of a single density wave; the paper itself flags this in Sect. 5.4, arguing the effect is monotonic and would shift slopes (and so pattern speeds and timescales) more than it would change which galaxies look positive overall.
Editorial extensions
If this is right
- Only 17% of well-delineated spirals in the local Universe behave like a single quasi-stationary density wave, so that classic theory cannot be assumed as the default for grand-design galaxies.
- 42% of the sample is consistent with multiple overlapping spiral modes with different pattern speeds, matching the 'groove mode' picture from simulations.
- 42% of the sample shows no systematic gas-to-star offset, implying gas and stars co-rotate with the arms, the signature of material arms or transient dynamical spirals.
- In the four galaxies that do show the density-wave fingerprint, offsets yield pattern speeds and star-formation delays that agree with independent methods, so the technique works where it applies.
- The large scatter (about 1 kpc) in offsets confirms that star formation is not initiated at a single coherent spiral shock even in the clearest spirals.
Reading between the lines
- The paper's classification can be read as a challenge to morphology as a proxy for dynamics: one of the two flocculent spirals (NGC 1385) is a class-A density-wave candidate while many grand-design spirals are not, so arm coherence says little about the underlying mechanism.
- If only a minority of spirals support a single pattern speed, pattern speeds measured by methods that assume one (for example Tremaine-Weinberg on some tracers) could be biased or describe only a dominant mode; cross-checks against offset-derived speeds for the same galaxies would test this.
- A direct extension would be to feed mock observations of simulations (fixed-potential density waves versus swing-amplified or groove-mode models versus tidal material arms) through the same radial-bin offset pipeline and ask whether the scatter and classification thresholds, especially the ρ = -0.2 cut and the KS test, cleanly separate the three scenarios at the ~100 pc resolution used here.
- The technique is resolution-limited: mean offsets of 200-300 pc correspond to only about 2-3 arcseconds in the most distant galaxies, so re-running the same measurements on samples with matched physical resolution or on upcoming wider-field CO surveys should sharpen the split between the three classes.
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. Using CO(2–1) maps from PHANGS-ALMA and ground-based Hα imaging, the paper measures azimuthal offsets between CO and Hα peak positions inside spiral-arm masks for 24 nearby galaxies with well-delineated spiral structure. Offsets are defined as positive when Hα peaks lie ahead of CO peaks in the direction of galactic rotation. The paper reports large scatter, per-galaxy mean offsets typically of a few hundred parsecs, and classifies the sample into three dynamical categories: (A) positive offsets with a declining radial trend (four galaxies, 17%), interpreted as consistent with a single quasi-stationary spiral density wave; (B) positive offsets without a radial trend (ten galaxies, 42%), interpreted as multiple overlapping modes; and (C) offsets indistinguishable from zero or negative (ten galaxies, 42%), interpreted as material or transient spirals. For the four class-A galaxies, pattern speeds and star-formation timescales are derived following Egusa et al. (2009) and compared with independent literature measurements.
Significance. If the classification is robust, this is a valuable observational constraint: at ~100 pc resolution, only a minority of well-delineated spirals display the single-pattern-speed density-wave offset signature, suggesting that a diversity of spiral mechanisms operates in the local Universe. The paper's strengths are the homogeneous, high-resolution PHANGS dataset; explicit, publicly derived spiral masks; multiple robustness checks (alternative peak definitions, intensity-weighted positions, wider radial bins, orientation perturbations, and JWST/NIRCam comparison); and the comparison of derived pattern speeds with independent Tremaine-Weinberg measurements. The central statistical grouping, however, needs to be placed on firmer footing before the quantitative 17%/42%/42% percentages can be accepted as reported.
major comments (3)
- [§4.2 / Table 1] The classification into 'positive offsets' versus 'no significant positive offsets' uses a KS test comparing the whole offset distribution to a zero-centered Gaussian with the same standard deviation, but the paper's language ('mean positive offsets', 'no significantly positive offsets') is about the mean. A KS rejection can be driven by non-Gaussian shape or outliers while the mean is consistent with zero; conversely, a positive mean with large scatter can fail KS and be placed in the null class. For example, NGC1672 has a mean offset of 106 pc with σ≈580 pc; whether this is a significant positive offset depends on the adopted test. Because the 4/10/10 counts and the selection of the four pattern-speed galaxies in §4.4 all derive from this step, the classification should be re-run with a test that directly targets the mean or median (e.g., a one-sample t-test on per-box offsets, a boots
- [§4.2 / Fig. 5] The class-A definition uses the hard threshold ρ<−0.2 for the offset–radius correlation, with no significance test. For galaxies with only a few radial bins and ~1 kpc scatter, a Spearman ρ of −0.25 is not necessarily distinguishable from noise. Moreover, because the same selected galaxies are then fit in §4.4, the agreement of the derived pattern speeds with literature values does not validate the selection; it is a consistency check on an already-selected subset. Please report the significance of each ρ (with the number of independent radial bins) and, ideally, a model comparison between a zero-slope and a negative-slope relation for θ versus R or θ versus Ω.
- [§5.4] The paper acknowledges that dust extinction can increase CO–Hα offsets toward the center and can affect the slope of the radial trend, but it does not quantify this effect. This is load-bearing because the class-A signature is precisely a declining radial trend, so a radial extinction gradient could mimic or erase it. The argument that the effect is 'monotonic' is not sufficient: a monotonic radial extinction gradient directly changes the slope and can move a borderline galaxy across the ρ<−0.2 threshold. The authors should bound the effect—for example, by comparing with extinction-corrected Hα maps where available, using Balmer-decrement maps, or simulating the expected offset change from an assumed extinction radial profile—and show that the classification of at least the four class-A galaxies is stable.
minor comments (6)
- [Abstract / §4.2] The wording 'mean positive offsets' is used interchangeably with the KS-based criterion. Clarify that class A/B galaxies have offsets that are statistically distinguishable from a zero-centered distribution with the same σ, not necessarily that the mean is significantly positive under a mean-targeted test.
- [Table 2 / §4.2] Table 2 lists ρ for θ versus Ω, while §4.2 uses ρ for θ versus R. Because Ω decreases with R, a positive ρ_Ω corresponds to a negative ρ_R. Define ρ_R and ρ_Ω explicitly to avoid sign confusion.
- [Table B.1] Some alternative-definition pattern speeds are unphysical (e.g., NGC2090 peak ΩP=147 km/s/kpc; NGC4254 weighted ΩP=97 km/s/kpc) and should be flagged as non-convergent or formally undefined, rather than listed alongside meaningful values without comment.
- [§4.4] The sentence that NGC4303's bar and spiral 'do not rotate with the same pattern speed' is stronger than warranted given ΩP=34.8±20.1 km/s/kpc; soften to 'are consistent with not being directly coupled'.
- [§3.2] The reference 'Razza et al. (in prep.)' should be updated to a published or arXiv reference before final acceptance.
- [Fig. 5] The small multiples in Fig. 5 are hard to read at journal page width; consider enlarging the panels or separating them by class.
Circularity Check
No significant circularity; the paper's offsets are direct measurements, and the theoretical interpretation and pattern-speed fits are externally benchmarked rather than derived from the paper's own assumptions.
full rationale
The paper is an observational analysis: CO–Hα azimuthal offsets are measured directly from the PHANGS maps, and the theoretical expectations (density wave, multiple modes, material arms) are used only as interpretive categories, not as inputs that force the measured values. The central taxonomy (14 positive/4 declining-trend/10 no-significant-offset) comes from the measured mean offsets and Spearman correlations; the KS test choice is a statistical methodology question, not a circular reduction. The pattern speeds for the four declining-trend galaxies are obtained by fitting the Egusa et al. (2009) model to the same offsets, but the resulting values are compared with independent Tremaine-Weinberg measurements (Williams et al. 2021) and other literature, so the agreement is external validation rather than tautology. Self-citations (e.g., Querejeta et al. 2021 spiral masks, PHANGS data products) serve as data or preprocessing inputs, and none of them assumes the conclusion that spiral mechanisms are diverse. No equation in the paper reduces to its own inputs, and no fitted parameter is renamed as an independent prediction. The acknowledged caveats (e.g., dust extinction affecting the radial slope) weaken interpretation but do not make the derivation circular.
Assumptions & free parameters
free parameters (9)
- Pattern speed ΩP for NGC 1385 =
26.1 ± 13.8 km/s/kpc
- Pattern speed ΩP for NGC 1566 =
25.0 ± 4.8 km/s/kpc
- Pattern speed ΩP for NGC 2283 =
28.2 ± 7.0 km/s/kpc
- Pattern speed ΩP for NGC 4303 =
34.8 ± 20.1 km/s/kpc
- Star formation timescale t_Hα for NGC 1385 =
8.96 ± 3.32 Myr
- Star formation timescale t_Hα for NGC 1566 =
2.47 ± 0.32 Myr
- Star formation timescale t_Hα for NGC 2283 =
1.79 ± 0.29 Myr
- Star formation timescale t_Hα for NGC 4303 =
12.27 ± 4.93 Myr
- Radial trend threshold (Spearman ρ) =
-0.2
assumptions (6)
- domain assumption Spiral arms are trailing and rotation direction is known (η factor)
- domain assumption CO peaks trace molecular gas accumulation and Hα peaks trace star formation after a delay of several Myr
- domain assumption Circular orbits assumed for radial binning; disc orientation parameters (inclination, PA) are accurate
- domain assumption Quasi-stationary density wave theory predictions (positive offsets inside corotation, decreasing with radius, sign flip at corotation) are the correct interpretive framework
- domain assumption Spiral masks from Querejeta et al. (2021) accurately delineate the arms
- domain assumption Rotation curves v_rot(R) from Lang et al. (2020) are accurate
Cite this review
Pith. "Pith review of Azimuthal offsets in spiral arms of nearby galaxies." pith.science (2026). https://pith.science/paper/HAQGJHIW
@misc{pith2026250901668,
author = {Pith},
title = {Pith review of: Azimuthal offsets in spiral arms of nearby galaxies},
year = {2026},
howpublished = {\url{https://pith.science/paper/HAQGJHIW}},
note = {Machine review of arXiv:2509.01668}
}
read the original abstract
Spiral arms play a central role in disc galaxies, but their dynamical nature remains a long-standing open question. Azimuthal offsets between molecular gas and star formation are expected if gas crosses spiral arms, as predicted by quasi-stationary density wave theory. In this work, we measure offsets between CO and Halpha peaks in radial bins for 24 galaxies from the PHANGS survey that display a well-delineated spiral structure. The offsets exhibit substantial scatter, implying that star formation is not exclusively initiated at a coherent spiral shock. We define offsets such that positive values mean Halpha peaks lie ahead of CO peaks in the direction of galactic rotation. With this convention, 14 galaxies show mean positive CO-Halpha offsets, typically of a few hundred parsecs. In four of these 14 galaxies (17% of the total), offsets become smaller with increasing radius, as expected for a single quasi-stationary spiral density wave. Ten galaxies (42%) show positive mean offsets but no clear correlation with radius, which is compatible with multiple overlapping modes. In the remaining ten galaxies (42%), we find no significantly positive offsets, which could point to transient dynamical spirals or material arms, where gas and stars co-rotate with the spiral perturbation. Across the full sample, we find mostly positive offsets between CO peaks and the gravitational potential minimum, confirming that gas often crosses the spiral perturbation. For the four galaxies with clear positive offsets and a radial trend, we derived pattern speeds in good agreement with the literature. Overall, our results suggest that even well-delineated spirals in the local Universe can arise from a variety of underlying dynamical mechanisms.
Figures
Figures from the paper (3 more)
Reference graph
Works this paper leans on
-
[1]
, " * write output.state after.block = add.period write newline
ENTRY address author booktitle chapter edition editor howpublished institution journal key month note number organization pages publisher school series title type volume year label extra.label sort.label short.list INTEGERS output.state before.all mid.sentence after.sentence after.block FUNCTION init.state.consts #0 'before.all := #1 'mid.sentence := #2 '...
-
[2]
write newline
" write newline "" before.all 'output.state := FUNCTION n.dashify 't := "" t empty not t #1 #1 substring "-" = t #1 #2 substring "--" = not "--" * t #2 global.max substring 't := t #1 #1 substring "-" = "-" * t #2 global.max substring 't := while if t #1 #1 substring * t #2 global.max substring 't := if while FUNCTION word.in bbl.in " " * FUNCTION format....
-
[3]
2020, , 496, 1610
Abdeen , S., Kennefick , D., Kennefick , J., et al. 2020, , 496, 1610
2020
-
[4]
S., Lee , J
Anand , G. S., Lee , J. C., Van Dyk , S. D., et al. 2021, , 501, 3621
2021
-
[5]
Athanassoula , E., Romero-G \'o mez , M., Bosma , A., & Masdemont , J. J. 2010, , 407, 1433
2010
-
[6]
2015, , 67, L4
Baba , J., Morokuma-Matsui , K., & Egusa , F. 2015, , 67, L4
2015
-
[7]
2000, Dynamics of Galaxies
Bertin , G. 2000, Dynamics of Galaxies
2000
-
[8]
C., Lowe , S
Bertin , G., Lin , C. C., Lowe , S. A., & Thurstans , R. P. 1989, , 338, 78
1989
Show all 129 references
-
[9]
2020, , 496, 767
Binney , J. 2020, , 496, 767
2020
-
[10]
L., Buta , R., Knapen , J
Block , D. L., Buta , R., Knapen , J. H., et al. 2004, , 128, 183
2004
-
[11]
G., Sormani , M
Borodina , O., Williams , T. G., Sormani , M. C., Meidt , S., & Schinnerer , E. 2023, , 524, 3437
2023
-
[12]
J., Sheth , K., Athanassoula , E., et al
Buta , R. J., Sheth , K., Athanassoula , E., et al. 2015, , 217, 32
2015
-
[13]
2013, , 560, A59
Cedr \'e s , B., Cepa , J., Bongiovanni , \'A ., et al. 2013, , 560, A59
2013
-
[14]
H., Meidt , S., et al
Chandar , R., Chien , L. H., Meidt , S., et al. 2017, , 845, 78
2017
-
[15]
J., et al
Chen , Q.-H., Grasha , K., Battisti , A. J., et al. 2024, , 534, 883
2024
-
[16]
Chevance , M., Kruijssen , J. M. D., Hygate , A. P. S., et al. 2020, , 493, 2872
2020
-
[17]
J., Williams , B
Choi , Y., Dalcanton , J. J., Williams , B. F., et al. 2015, , 810, 9
2015
-
[18]
2025, arXiv e-prints, arXiv:2503.03305
Colman , T., Hennebelle , P., Brucy , N., et al. 2025, arXiv e-prints, arXiv:2503.03305
2025
-
[19]
E., Schinnerer , E., et al
Colombo , D., Meidt , S. E., Schinnerer , E., et al. 2014, , 784, 4
2014
-
[20]
1983, in IAU Symposium, Vol
Comte , G. 1983, in IAU Symposium, Vol. 100, Internal Kinematics and Dynamics of Galaxies, ed. E. Athanassoula , 151
1983
-
[21]
G., et al
de Vaucouleurs , G., de Vaucouleurs , A., Corwin , Jr., H. G., et al. 1991, Third Reference Catalogue of Bright Galaxies. Volume I: Explanations and references. Volume II: Data for galaxies between 0 ^ h and 12 ^ h . Volume III: Data for galaxies between 12 ^ h and 24 ^ h
1991
-
[22]
2007, PhD thesis, -
Dobbs , C. 2007, PhD thesis, -
2007
-
[23]
& Baba , J
Dobbs , C. & Baba , J. 2014, , 31, e035
2014
-
[24]
Dobbs , C. L. & Bonnell , I. A. 2007, , 376, 1747
2007
-
[25]
2013, , 766, 34
D'Onghia , E., Vogelsberger , M., & Hernquist , L. 2013, , 766, 34
2013
-
[26]
Donner , K. J. & Thomasson , M. 1994, , 290, 785
1994
-
[27]
R., et al
Dur \'a n-Camacho , E., Duarte-Cabral , A., Pettitt , A. R., et al. 2024, , 532, 126
2024
-
[28]
2009, , 697, 1870
Egusa , F., Kohno , K., Sofue , Y., Nakanishi , H., & Komugi , S. 2009, , 697, 1870
2009
-
[29]
2017, , 465, 460
Egusa , F., Mentuch Cooper , E., Koda , J., & Baba , J. 2017, , 465, 460
2017
-
[30]
Elmegreen , B. G. 1990, Annals of the New York Academy of Sciences, 596, 40
1990
-
[31]
2015, , 450, 4035
Federrath , C. 2015, , 450, 4035
2015
-
[32]
Ferreras , I., Cropper , M., Kawata , D., Page , M., & Hoversten , E. A. 2012, , 424, 1636
2012
-
[33]
E., Epinat , B., Dobbs , C
Font , J., Beckman , J. E., Epinat , B., Dobbs , C. L., & Querejeta , M. 2024, , 966, 110
2024
-
[34]
E., Epinat , B., et al
Font , J., Beckman , J. E., Epinat , B., et al. 2011, , 741, L14
2011
-
[35]
E., Querejeta , M., et al
Font , J., Beckman , J. E., Querejeta , M., et al. 2014, , 210, 2
2014
-
[36]
W., Dobbs , C
Foyle , K., Rix , H. W., Dobbs , C. L., Leroy , A. K., & Walter , F. 2011, , 735, 101
2011
-
[37]
W., Walter , F., & Leroy , A
Foyle , K., Rix , H. W., Walter , F., & Leroy , A. K. 2010, , 725, 534
2010
-
[38]
1993, , 274, 148
Garcia-Burillo , S., Combes , F., & Gerin , M. 1993, , 274, 148
1993
-
[39]
Gittins , D. M. & Clarke , C. J. 2004, , 349, 909
2004
-
[40]
& Lynden-Bell , D
Goldreich , P. & Lynden-Bell , D. 1965, , 130, 125
1965
-
[41]
Grand , R. J. J., Kawata , D., & Cropper , M. 2012 a , , 426, 167
2012
-
[42]
Grand , R. J. J., Kawata , D., & Cropper , M. 2012 b , , 421, 1529
2012
-
[43]
& Dottori , H
Grosb l , P. & Dottori , H. 2009, , 499, L21
2009
-
[44]
2024, , 528, 5286
Hamilton , C. 2024, , 528, 5286
2024
-
[45]
2015, , 582, A86
Herrera-Endoqui , M., D \' az-Garc \' a , S., Laurikainen , E., & Salo , H. 2015, , 582, A86
2015
-
[46]
T., Meidt , S
Ho , I. T., Meidt , S. E., Kudritzki , R.-P., et al. 2018, , 618, A64
2018
-
[47]
T., Seibert , M., Meidt , S
Ho , I. T., Seibert , M., Meidt , S. E., et al. 2017, , 846, 39
2017
-
[48]
Julian , W. H. & Toomre , A. 1966, , 146, 810
1966
-
[49]
Kalnajs , A. J. 1973, , 2, 174
1973
-
[50]
Kawata , D., Hunt , J. A. S., Grand , R. J. J., Pasetto , S., & Cropper , M. 2014, , 443, 2757
2014
-
[51]
2023, , 671, A56
Khoperskov , S., Sivkova , E., Saburova , A., et al. 2023, , 671, A56
2023
-
[52]
Kim , J., Chevance , M., Kruijssen , J. M. D., et al. 2022, , 516, 3006
2022
-
[53]
Kim , J., Chevance , M., Kruijssen , J. M. D., et al. 2021, , 504, 487
2021
-
[54]
M., & Moiseev , A
Korchagin , V., Orlova , N., Kikuchi , N., Miyama , S. M., & Moiseev , A. V. 2005, arXiv e-prints, astro
2005
-
[55]
Kostiuk , V., Marchuk , A., Gusev , A., & Chugunov , I. V. 2025, Galaxies, 13, 27
2025
-
[56]
S., Marchuk , A
Kostiuk , V. S., Marchuk , A. A., & Gusev , A. S. 2024, Research in Astronomy and Astrophysics, 24, 075007
2024
-
[57]
T., Blanc , G
Kreckel , K., Ho , I. T., Blanc , G. A., et al. 2019, , 887, 80
2019
-
[58]
Krumholz , M. R. 2015, ArXiv e-prints
2015
-
[59]
A., Vogel , S
La Vigne , M. A., Vogel , S. N., & Ostriker , E. C. 2006, , 650, 818
2006
-
[60]
E., Rosolowsky , E., et al
Lang , P., Meidt , S. E., Rosolowsky , E., et al. 2020, , 897, 122
2020
-
[61]
C., Sandstrom , K
Lee , J. C., Sandstrom , K. M., Leroy , A. K., et al. 2023, , 944, L17
2023
-
[62]
K., Hughes , A., Liu , D., et al
Leroy , A. K., Hughes , A., Liu , D., et al. 2021 a , , 255, 19
2021
-
[63]
K., Sandstrom , K
Leroy , A. K., Sandstrom , K. M., Lang , D., et al. 2019, , 244, 24
2019
-
[64]
K., Schinnerer , E., Hughes , A., et al
Leroy , A. K., Schinnerer , E., Hughes , A., et al. 2021 b , , 257, 43
2021
-
[65]
Lin , C. C. & Shu , F. H. 1964, , 140, 646
1964
-
[66]
Lin , C. C. & Shu , F. H. 1966, Proceedings of the National Academy of Science, 55, 229
1966
-
[67]
2013, , 763, 94
Louie , M., Koda , J., & Egusa , F. 2013, , 763, 94
2013
-
[68]
Marchuk , A. A. 2024, , 686, L14
2024
-
[69]
A., Chugunov , I
Marchuk , A. A., Chugunov , I. V., Gontcharov , G. A., et al. 2024 a , , 528, 1276
2024
-
[70]
A., Mosenkov , A
Marchuk , A. A., Mosenkov , A. V., Chugunov , I. V., et al. 2024 b , , 527, L66
2024
-
[71]
Mart \' nez-Garc \' a , E. E. & Gonz \'a lez-L \'o pezlira , R. A. 2013, , 765, 105
2013
-
[72]
E., Gonz \'a lez-L \'o pezlira , R
Mart \' nez-Garc \' a , E. E., Gonz \'a lez-L \'o pezlira , R. A., & Puerari , I. 2023, , 524, 18
2023
-
[73]
& Tagger , M
Masset , F. & Tagger , M. 1997, , 322, 442
1997
-
[74]
E., Leroy , A
Meidt , S. E., Leroy , A. K., Querejeta , M., et al. 2021, , 913, 113
2021
-
[75]
E., Rand , R
Meidt , S. E., Rand , R. J., & Merrifield , M. R. 2009, , 702, 277
2009
-
[76]
E., Rand , R
Meidt , S. E., Rand , R. J., Merrifield , M. R., Shetty , R., & Vogel , S. N. 2008, , 688, 224
2008
-
[77]
E., Schinnerer , E., Knapen , J
Meidt , S. E., Schinnerer , E., Knapen , J. H., et al. 2012, , 744, 17
2012
-
[78]
E., Schinnerer , E., van de Ven , G., et al
Meidt , S. E., Schinnerer , E., van de Ven , G., et al. 2014, , 788, 144
2014
-
[79]
Meidt , S. E. & van der Wel , A. 2024, , 966, 62
2024
-
[80]
2019, , 874, 177
Miller , R., Kennefick , D., Kennefick , J., et al. 2019, , 874, 177
2019
-
[81]
Nair , P. B. & Abraham , R. G. 2010, , 186, 427
2010
-
[82]
J., Bigiel , F., et al
Neumann , L., Gallagher , M. J., Bigiel , F., et al. 2023, , 521, 3348
2023
-
[83]
E., Burkhart , B., Wetzel , A., et al
Orr , M. E., Burkhart , B., Wetzel , A., et al. 2023, , 521, 3708
2023
-
[84]
2022, , 927, 9
Pan , H.-A., Schinnerer , E., Hughes , A., et al. 2022, , 927, 9
2022
-
[85]
G., Merrifield , M
Peterken , T. G., Merrifield , M. R., Arag \'o n-Salamanca , A., et al. 2019, Nature Astronomy, 3, 178
2019
-
[86]
R., Dobbs , C
Pettitt , A. R., Dobbs , C. L., Acreman , D. M., & Bate , M. R. 2015, , 449, 3911
2015
-
[87]
R., Dobbs , C
Pettitt , A. R., Dobbs , C. L., Baba , J., et al. 2020, , 498, 1159
2020
-
[88]
K., et al
Pety , J., Schinnerer , E., Leroy , A. K., et al. 2013, , 779, 43
2013
-
[89]
K., Meidt , S
Querejeta , M., Leroy , A. K., Meidt , S. E., et al. 2024, , 687, A293
2024
-
[90]
E., Schinnerer , E., et al
Querejeta , M., Meidt , S. E., Schinnerer , E., et al. 2015, , 219, 5
2015
-
[91]
2021, , 656, A133
Querejeta , M., Schinnerer , E., Meidt , S., et al. 2021, , 656, A133
2021
-
[92]
& Salo , H
Rautiainen , P. & Salo , H. 1999, , 348, 737
1999
-
[93]
W., J., Roberts , M
Roberts , W. W., J., Roberts , M. S., & Shu , F. H. 1975, , 196, 381
1975
-
[94]
Roberts , W. W. 1969, , 158, 123
1969
-
[95]
P., Quinn , T
Ro s kar , R., Debattista , V. P., Quinn , T. R., & Wadsley , J. 2012, , 426, 2089
2012
-
[96]
2024, , 691, A351
Ruiz-Garc \' a , M., Querejeta , M., Garc \' a-Burillo , S., et al. 2024, , 691, A351
2024
-
[97]
Salim , S., Boquien , M., & Lee , J. C. 2018, , 859, 11
2018
-
[98]
C., Janowiecki , S., et al
Salim , S., Lee , J. C., Janowiecki , S., et al. 2016, , 227, 2
2016
-
[99]
Salo , H., Laurikainen , E., Buta , R., & Knapen , J. H. 2010, , 715, L56
2010
-
[100]
F., P \'e rez , I., et al
S \'a nchez-Menguiano , L., S \'a nchez , S. F., P \'e rez , I., et al. 2020, , 492, 4149
2020
-
[101]
Sanders , R. H. & Huntley , J. M. 1976, , 209, 53
1976
-
[102]
& Leroy , A
Schinnerer , E. & Leroy , A. K. 2024, , 62, 369
2024
-
[103]
E., Colombo , D., et al
Schinnerer , E., Meidt , S. E., Colombo , D., et al. 2017, , 836, 62
2017
-
[104]
E., Pety , J., et al
Schinnerer , E., Meidt , S. E., Pety , J., et al. 2013, , 779, 42
2013
-
[105]
K., Walter , F., Sandstrom , K., & Rosolowsky , E
Schruba , A., Leroy , A. K., Walter , F., Sandstrom , K., & Rosolowsky , E. 2010, , 722, 1699
2010
-
[106]
Sellwood , J. A. & Carlberg , R. G. 1984, , 282, 61
1984
-
[107]
Sellwood , J. A. & Carlberg , R. G. 2014, , 785, 137
2014
-
[108]
Sellwood , J. A. & Masters , K. L. 2022, , 60
2022
-
[109]
Sellwood , J. A. & Sparke , L. S. 1988, , 231, 25P
1988
-
[110]
K., Pasquali , A., et al
Shabani , F., Grebel , E. K., Pasquali , A., et al. 2018, , 478, 3590
2018
-
[111]
L., et al
Sheth , K., Regan , M., Hinz , J. L., et al. 2010, , 122, 1397
2010
-
[112]
2019, , 884, 3
Sridhar , S. 2019, , 884, 3
2019
-
[113]
Sun , B., Calzetti , D., & Battisti , A. J. 2024, , 973, 137
2024
-
[114]
K., Ostriker , E
Sun , J., Leroy , A. K., Ostriker , E. C., et al. 2020, , 892, 148
2020
-
[115]
K., Rosolowsky , E., et al
Sun , J., Leroy , A. K., Rosolowsky , E., et al. 2022, , 164, 43
2022
-
[116]
F., Tagger , M., Athanassoula , E., & Pellat , R
Sygnet , J. F., Tagger , M., Athanassoula , E., & Pellat , R. 1988, , 232, 733
1988
-
[117]
W., Walter , F., et al
Tamburro , D., Rix , H. W., Walter , F., et al. 2008, , 136, 2872
2008
-
[118]
1969, , 158, 899
Toomre , A. 1969, , 158, 899
1969
-
[119]
1981, in Structure and Evolution of Normal Galaxies, ed
Toomre , A. 1981, in Structure and Evolution of Normal Galaxies, ed. S. M. Fall & D. Lynden-Bell , 111--136
1981
-
[120]
& Weinberg , M
Tremaine , S. & Weinberg , M. D. 1984, , 282, L5
1984
-
[121]
G., Smith , R
Tress , R. G., Smith , R. J., Sormani , M. C., et al. 2020, , 492, 2973
2020
-
[122]
N., Kulkarni , S
Vogel , S. N., Kulkarni , S. R., & Scoville , N. Z. 1988, at, 334, 402
1988
-
[123]
2008, , 675, 188
Wada , K. 2008, , 675, 188
2008
-
[124]
E., Feng , C.-C., & Lin , L.-H
Wang , H.-H., Lee , W.-K., Taam , R. E., Feng , C.-C., & Lin , L.-H. 2015, , 800, 106
2015
-
[125]
W., Lintott , C
Willett , K. W., Lintott , C. J., Bamford , S. P., et al. 2013, , 435, 2835
2013
-
[126]
G., Kreckel , K., Belfiore , F., et al
Williams , T. G., Kreckel , K., Belfiore , F., et al. 2022 a , , 509, 1303
2022
-
[127]
G., Lee , J
Williams , T. G., Lee , J. C., Larson , K. L., et al. 2024, , 273, 13
2024
-
[128]
G., Schinnerer , E., Emsellem , E., et al
Williams , T. G., Schinnerer , E., Emsellem , E., et al. 2021, , 161, 185
2021
-
[129]
G., Sun , J., Barnes , A
Williams , T. G., Sun , J., Barnes , A. T., et al. 2022 b , , 941, L27
2022
Reviewed August 5, 2026 · model on record in the stance chip above.
Discussion (0). Continue with ORCID to comment.