REVIEW 4 major objections 7 minor 89 references
Constraints on the history of Galactic spiral arms revealed by Gaia GSP-Spec alpha-elements
T0 review · 4 major / 7 minor · reviewed 2026-08-12 · deepseek-v4-flash
Pith's one-line read Young stars inside the Milky Way's spiral arms are ~0.06 dex poorer in [Ca/Fe] and ~0.05 dex poorer in [Mg/Fe] than inter-arm stars, a pattern matched only by a 2D chemical evolution model with 3–5 Gyr of co-rotation.
desk verdict First 2D alpha-element maps of the disc are a real step forward, but the 0.06 dex arm/inter-arm signal sits on top of known GSP-Spec systematics and the co-rotation timescale should be treated as suggestive, not measured. 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 analysis rests on two giant-star samples built from Gaia DR3: sample A of bright young stars (about 11,678 with [Ca/Fe], ages roughly 30–130 Myr from isochrones, reaching about 4 kpc) and sample C of older red-giant stars (74,740 with [Ca/Fe], older than about 2 Gyr). The statistical instrument is a kernel density estimator that smooths each abundance field on a local scale (~240 pc) and on a six-times-larger scale, then subtracts the large-scale map to expose the [X/Fe] 'excess' pattern; a Spearman correlation between the resulting maps quantifies how tightly the chemical pattern tracks the spiral-arm overdensity contours. The interpretive machinery is a 2D chemical evolution model with multiple spiral pattern segments of different pattern speeds, rerun here under the assumption that co-rotation with the disc holds at all radii for 1, 3, or 5 Gyr; only the 3–5 Gyr runs produce the observed arm-associated [Ca/Fe] depletion.
What would settle it
Take an independent spectroscopic sample covering the same ~4 kpc region with different systematics and recompute the same arm/inter-arm excess maps before and after masking the known scanning-law stripes (roughly X ~ 0 kpc with Y between -4.5 and -1 kpc and between 2 and 4.5 kpc). If the ~0.06 dex [Ca/Fe] and ~0.05 dex [Mg/Fe] deficits in the Sagittarius-Carina and Local arms vanish when the scanning-law-affected sight lines are excluded, the claimed azimuthal alpha-element fluctuation and the 3–5 Gyr co-rotation inference would be falsified.
Extended reading notes
Core claim
On the paper's own terms, the central discovery is that alpha-element abundances in the Galactic disc vary with azimuth and that the variations line up with spiral arms. For the young giant population, the [Ca/Fe] excess map shows local decreases of about 0.06 dex at the Sagittarius-Carina and Local arms, with inter-arm regions relatively [Ca/Fe]-rich; the [Mg/Fe] map shows the same pattern at about 0.05 dex over its smaller footprint. The [M/H] and [Ca/Fe] maps are strongly anticorrelated (Spearman ~ -0.63 for young stars and -0.68 for old stars), while [M/H] and [Ca/H] are strongly correlated (~0.96), indicating that arm regions are simultaneously metal-rich and alpha-poor. Rerunning a 2D chemical evolution model with multiple spiral patterns, the model only reproduces the observed [Ca/Fe] deficit when the spiral pattern co-rotates with the disc for 3–5 Gyr. Older (>2 Gyr) stars also show [Ca/Fe] deficiencies along parts of the Local arm, with the paper cautioning that Gaia scanning-law artefacts may limit those maps along one line of sight.
Load-bearing premise
The whole detection assumes that the measured [Ca/Fe] and [Mg/Fe] maps are not contaminated by spatially varying systematics in the Gaia data; the paper states that the Gaia scanning law leaves signatures in [$\alpha$/Fe] and that its $T_{\mathrm{eff}}>4200$ K cut removes them only partially, so if those systematics mimic arm/inter-arm differences, the abundance deficit and the co-rotation conclusion would not survive.
Editorial extensions
If this is right
- With the observed anticorrelation between [M/H] and [Ca/Fe], arm regions are both metal-rich and alpha-poor, implying enhanced iron production relative to alpha-elements inside the arms.
- The 3–5 Gyr co-rotation requirement places a concrete constraint on spiral-arm lifetimes: a given disc region must stay under the spiral influence long enough for Type Ia supernova iron to dominate the local chemical pattern.
- Individual alpha-element abundances become usable tracers of spiral structure in the Milky Way, complementing density and metallicity maps for both young and old disc populations.
- Disc chemical evolution models that assume only radial gradients will miss the observed azimuthal structure; future models should include two-dimensional variations and alpha-abundance trends.
- The pixel-to-pixel agreement between young and old samples (Spearman ~0.63-0.67) suggests that the chemical imprint of spiral arms can persist after stellar migration, opening a window into past spiral structure.
Reading between the lines
- If the reported co-rotation timescale is real, then independent high-resolution abundance surveys covering the same volume should reproduce the arm/inter-arm [Ca/Fe] deficit; their absence in such data would point to a GSP-Spec systematic rather than a true abundance pattern.
- A direct test of the mechanism would be to map other alpha-elements with different Type Ia supernova contributions in the same young-giant sample: the size of the arm deficit should scale with each element's yield-delay balance.
- The paper notes that dust structures (for example the Vela Molecular Ridge region) coincide with some of the chemical fluctuations; correlating the excess maps pixel-by-pixel with three-dimensional dust extinction maps would separate a chemical-evolution signal from a reddening/selection effect.
- A natural dynamical consequence left implicit is that 3–5 Gyr of co-rotation favours long-lived, recurring spiral modes over strictly transient arms, because the chemical record in old stars seems to retain the imprint of repeated arm passages in the same region.
Signed reviews
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. This paper maps the azimuthal distribution of [Ca/Fe] and [Mg/Fe] in the Galactic disc around the Sun using individual stellar abundances from Gaia DR3 GSP-Spec. Two samples of bright giants are selected in the Kiel diagram — sample A (young, isochrone ages ~30-130 Myr, 11678 stars with [Ca/Fe]) and sample C (old, >2 Gyr, 74740 stars with [Ca/Fe]) — and 2D maps are constructed with a Gaussian kernel; 'excess' maps are formed by subtracting a large-scale (h = 1200-1440 pc) smoothed version from a local (h = 200-240 pc) one. The authors report a radial [Ca/Fe] gradient plus azimuthal fluctuations: young stars in the Sagittarius-Carina and Local arms are ~0.06 dex poorer in [Ca/Fe] and ~0.05 dex poorer in [Mg/Fe] than inter-arm stars, while [M/H] and [Ca/H] are enhanced there; Spearman coefficients quantify the anti-correlation between the [M/H] and [Ca/Fe] maps. Analogous but weaker patterns are reported for the old sample, with the caveat that scanning-law artifacts may affect a specific line of sight. The [Ca/Fe] depletions are interpreted through the Spitoni et al. (2023) 2D chemical evolution model: the authors argue that only models with spiral arms co-rotating with the disc for 3-5 Gyr reproduce the depletion, implying enhanced iron production in the arms, and they recommend that models incorporate alpha-abundance trends to constrain spiral-arm lifetimes.
Significance. If the reported fluctuations are real, this is the first 2D map of [Ca/Fe] and [Mg/Fe] azimuthal variations in the solar neighbourhood built from individual stellar abundances, extending the 1D radial chemical-evolution picture and providing a new, falsifiable constraint on spiral-arm lifetimes through alpha-element ratios. The paper has genuine strengths: the data selection is transparent and reproducible from the Appendix A query; per-star uncertainty statistics are tabulated (Table A.1); the comparison with Spitoni et al. (2023) is a legitimate external benchmark in which the co-rotation duration is explored rather than fitted to the data, so the inference is not circular; and the authors explicitly document the scanning-law limitations of the old-sample maps rather than hiding them. However, the magnitude of the claimed signal (0.05-0.06 dex) is comparable to both the per-star uncertainties and to the systematics the authors themselves identify, and the model inference is currently qualitative. The paper's impact therefore depends on the robustness tests and quantitative comparison requested below.
major comments (4)
- [Section 3.1, Figs. 2-3, Table A.1] The central detection — the ~0.06 dex [Ca/Fe] and ~0.05 dex [Mg/Fe] depletions in the Sagittarius-Carina and Local arms — is presented without a significance map, a null test, or a systematic error budget. The median per-star [Ca/Fe] uncertainty is 0.025 dex (Table A.1), and Section 2 states that the Gaia scanning law leaves important signatures in [alpha/Fe] that the Teff > 4200 K cut only partially removes; the caption of Fig. 2 (right panel) explicitly notes a residual weak signature. The excess construction [Ca/Fe]_loc minus [Ca/Fe]_large (h_local = 200-240 pc, h_large = 1200-1440 pc) is a band-pass filter that retains fluctuations on scales of roughly 0.2-1.4 kpc, so any scanning-law artifact on those scales — precisely the scales reported in the caption of Fig. 2 — survives the subtraction and can mimic an arm/inter-arm pattern. Please add (i) a null test, e.g. azimuthally scrambling stellar labels or running the identical pipeline on a control element or population expected to be smooth; (ii) a propagated error budget separating the statistical uncertainty of the smoothed means from the systematic floor (scanning law, Teff calibration, extinction); and (iii) an explicit statement of which spatial scales the excess maps retain and which they remove.
- [Section 4, Fig. 9] The conclusion that only 3-5 Gyr of disc co-rotation reproduces the observed [Ca/Fe] depletion rests on the visual statement that the 3 and 5 Gyr models 'start to recover a deficiency in [Ca/Fe]', with no quantitative criterion. The observed maps and the model predictions are not compared in matched coordinates or at matched amplitudes, and model uncertainties (star formation prescription, chemical yields, assumed pattern speeds) are not propagated. Because the 3-5 Gyr timescale is the paper's headline astrophysical conclusion (abstract and Section 4), please add a quantitative comparison — for example, the azimuthal [Ca/Fe] amplitude predicted by the model at the radii of the observed arms versus the measured ~0.06 dex excess and its uncertainty — and state which co-rotation durations can be excluded at what confidence. In addition, the caption of Fig. 9 should specify which coloured line corresponds to which pattern speed without requiring the reader to consult Spitoni et al. (2023).
- [Section 3.1, Fig. 10] The Spearman coefficients used to support the claims (e.g., -0.63 and -0.68 between the [M/H] and [Ca/Fe] excess maps, and 0.63/0.67 between the sample A and C maps) are quoted without uncertainties or effective sample sizes. Because the maps are smoothed, neighbouring pixels are strongly correlated, so the effective number of independent measurements is far smaller than the number of pixels; moreover, the [M/H] and [Ca/Fe] excess maps both derive from the same large-scale subtraction procedure. In addition, the [Ca/H]-[M/H] correlation of 0.96 is inflated by construction, since [Ca/H] = [Ca/Fe] + [M/H]. The statement in Section 4 that the chemical inhomogeneities are 'statistically significantly' correlated with the spiral arms requires a permutation or bootstrap test that accounts for the spatial correlation of the smoothed maps, with the result reported as a probability rather than a bare coefficient.
- [Section 2, Fig. 2 (right), Appendix A] For the old sample C, the paper itself cautions that the maps may be limited along a specific line of sight because of the Gaia scanning law, and that the Teff > 4200 K cut removes 211524 cooler stars. Despite this, the sample C [Ca/Fe] maps (Fig. 3, right panel) and their pixel-to-pixel correlation with sample A (Fig. 10) are used as supporting evidence for the chemical-evolution interpretation. Please recompute the sample C arm/inter-arm contrasts and the sample A-C correlation after excising the affected regions (approximately Y = (-4.5,-1) kpc and Y = (2,4.5) kpc, as noted in the caption of Fig. 2), and state how the Teff cut changes the completeness along that line of sight. Without such a test, the possibility that the sample C signatures are partly artifacts remains open, as the authors themselves acknowledge elsewhere in the text.
minor comments (7)
- [Abstract vs Section 4] The abstract quotes the arm metallicity enhancement as '~0-0.19 dex' while Section 4 says 'up to ~0-0.20 dex'; please harmonise the two values.
- [Section 3.1, Section 3.2] There are typos in two 'first time' passages: 'even if their are less evident' (Section 3.1) should read 'even if they are less evident', and 'richer compared compared to the arms regions' (Section 3.2, Fig. 7 discussion) contains a duplicated phrase.
- [Appendix A] The ADQL query contains an apparently duplicated flags_gspspec pattern ('____________0%' appears twice in one OR clause) and unbalanced closing parentheses before the '_______________0%' condition; since the query is meant to be reproducible, please verify and correct it.
- [Section 2 and Abstract] The abstract and title quote the young-sample age as '<150 Myr', but the BaSTI isochrone analysis in Section 2 yields ~30-130 Myr; please align these values or explicitly justify the round upper bound.
- [Section 3.1] The 'for the first time' claims for azimuthal [Ca/Fe] fluctuations should be qualified against Hawkins (2023) and Hackshaw et al. (2024), both of whom report azimuthal abundance variations at comparable amplitudes; the novelty is better expressed as the first individual-star GSP-Spec [Ca/Fe] and [Mg/Fe] maps.
- [Abstract and Section 3.3] The abstract presents the ~0.05 dex [Mg/Fe] depletion as a headline result, but Section 3.3 states that with only 689 stars and a ~1.2-1.5 kpc footprint the fluctuations cannot be quantified over the entire disc; please make the Local-Arm-only scope of the [Mg/Fe] result explicit in the abstract.
- [Fig. 6 caption] The phrase 'a specific bins of 5 degrees' should be corrected, and the choice of the 1.1 kpc radial bin width for the running mean should be motivated in the text.
Circularity Check
No significant circularity: the measured arm/inter-arm [Ca/Fe] and [Mg/Fe] contrasts are empirical maps compared with an external forward model; self-citations are methodological and not load-bearing.
full rationale
The paper's central result is an observational measurement: [Ca/Fe] and [Mg/Fe] maps from Gaia GSP-Spec, with arm/inter-arm differences read off the maps after a local-minus-large-scale excess definition. This excess is a smoothing operation, not a fit, so the reported arm/inter-arm contrasts are not defined into existence by a fitted parameter. Spiral-arm loci are adopted from density-based tracers (Poggio et al. 2021 UMS stars; Palicio et al. 2023 giant-star overdensities), not from the same chemical maps, so the claimed spatial correlation is not enforced by construction. The comparison to the Spitoni et al. (2023) 2D chemical evolution model is a forward grid over co-rotation durations (1, 3, and 5 Gyr), not a fit of model parameters to the observed fluctuations; the conclusion that 3-5 Gyr of co-rotation reproduces the depletion is an external benchmark, and the overlap of authors on the model does not make the observation derive from it. The abundance calibration polynomials from Recio-Blanco et al. (2023, 2024) are a data-calibration input, not a prediction generated from the target signal. The acknowledged Gaia scanning-law signatures are a stated systematic limitation, affecting interpretation and statistical robustness, but they are a correctness risk rather than a circular step. No specific equation or definition reduces the paper's conclusions to its inputs, so no circularity step can be quoted.
Assumptions & free parameters
free parameters (5)
- local kernel bandwidth h =
240 pc (sample A), 200 pc (sample C)
- large-scale bandwidth ratio =
6 times local (1200-1440 pc)
- Teff cut =
4200 K
- Mg RVS SNR threshold =
250
- Model co-rotation durations =
1, 3, 5 Gyr
assumptions (6)
- domain assumption GSP-Spec [M/H] traces [Fe/H] and [alpha/Fe] is dominated by [Ca/Fe] via the Ca II triplet
- domain assumption Sample A is 30-130 Myr old and sample C older than 2 Gyr
- domain assumption The 2D chemical evolution model of Spitoni et al. (2023) describes the Galactic disc adequately
- domain assumption Spatial density contours used as spiral arm tracers (Poggio et al. 2021; Palicio et al. 2023) are valid arm loci
- standard math Kernel density estimation with a Gaussian kernel yields unbiased abundance maps
- ad hoc to paper The Gaia scanning-law artifacts are sufficiently mitigated by Teff > 4200 K and the uncertainty/flags cuts
Cite this review
Pith. "Pith review of Constraints on the history of Galactic spiral arms revealed by Gaia GSP-Spec alpha-elements." pith.science (2026). https://pith.science/paper/KMS2ALJZ
@misc{pith2026241110007,
author = {Pith},
title = {Pith review of: Constraints on the history of Galactic spiral arms revealed by Gaia GSP-Spec alpha-elements},
year = {2026},
howpublished = {\url{https://pith.science/paper/KMS2ALJZ}},
note = {Machine review of arXiv:2411.10007}
}
read the original abstract
The distribution of chemical elements in the Galactic disc can reveal fundamental clues on the physical processes that led to the current configuration of our Galaxy. We map chemical azimuthal variations in the disc using individual stellar chemical abundances and discuss their possible connection with the spiral arms and other perturbing mechanisms. Using Gaia Data Release 3, we examine [Ca/Fe] and [Mg/Fe] fluctuations in a ~4 kpc region around the Sun, focusing on bright giant stars. We implemented a kernel density estimator technique to enhance the chemical inhomogeneities. We observe radial gradients and azimuthal fluctuations in [alpha/Fe] for young (<150 Myr) and old (>2 Gyr) stars, with amplitudes varying according to the studied element. In young stars, those within spiral arms (e.g., Sagittarius-Carina and Local arms) are generally more metal and calcium-rich (~0-0.19 dex) but show lower [Ca/Fe] (~0.06 dex) and [Mg/Fe] (~0.05 dex) compared to inter-arm regions, suggesting enhanced iron production in spiral arms. These [alpha/Fe] depletions are analysed in light of theoretical scenarios and compared to a 2D chemical evolution model with multiple spiral patterns. For the old sample, [Ca/Fe] maps reveal deficiencies along a segment of the Local arm identified by young stars. We caution that, for this old sample, the quality of the obtained maps might be limited along a specific line-of-sight, due to the Gaia scanning law. This study transitions our understanding of disc chemical evolution from a 1D radial view to a more detailed 2D framework incorporating radial, azimuthal, and small-scale variations. Individual chemical abundances prove essential for tracing spiral arms in disc galaxies. We recommend models and simulations incorporate alpha-abundance trends to better address spiral arm lifetimes.
Figures
Figures from the paper (7 more)
Reference graph
Works this paper leans on
-
[1]
, " * write output.state after.block = add.period write newline
ENTRY address archiveprefix author booktitle chapter edition editor howpublished institution eprint 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 ...
-
[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]
2017, , 600, A70
Anders , F., Chiappini , C., Minchev , I., et al. 2017, , 600, A70
2017
-
[4]
2023, , 673, A115
Antoja , T., Ramos , P., Garc \' a-Conde , B., et al. 2023, , 673, A115
2023
-
[5]
2009, , 706, 471
Baba , J., Asaki , Y., Makino , J., et al. 2009, , 706, 471
2009
-
[6]
Bailer-Jones , C. A. L., Rybizki , J., Fouesneau , M., Demleitner , M., & Andrae , R. 2021, VizieR Online Data Catalog, I/352
2021
-
[7]
S., Rood, R
Balser, D. S., Rood, R. T., Bania, T. M., & Anderson, L. D. 2011, ApJ, 738, 27
2011
-
[8]
& Tremaine , S
Binney , J. & Tremaine , S. 2008, Galactic Dynamics: Second Edition
2008
Show all 89 references
-
[9]
2024, , 683, A128
Cantat-Gaudin , T., Fouesneau , M., Rix , H.-W., et al. 2024, , 683, A128
2024
-
[10]
V., Laporte , C
Carr , C., Johnston , K. V., Laporte , C. F. P., & Ness , M. K. 2022, , 516, 5067
2022
-
[11]
J., Luri , X., et al
Castro-Ginard , A., McMillan , P. J., Luri , X., et al. 2021, , 652, A162
2021
-
[12]
2023, , 670, A106
Contursi , G., de Laverny , P., Recio-Blanco , A., et al. 2023, , 670, A106
2023
-
[13]
L., Sordo , R., Pailler , F., et al
Creevey , O. L., Sordo , R., Pailler , F., et al. 2023, , 674, A26
2023
-
[14]
2023, , 678, A195
da Silva, R., D’Orazi, V., Palla, M., et al. 2023, , 678, A195
2023
-
[15]
& Reidy , J
Dancey , C. & Reidy , J. 2007, Statistics Without Maths for Psychology, British Psychological Society book
2007
-
[16]
B., Fox , A
De Cia , A., Jenkins , E. B., Fox , A. J., et al. 2021, , 597, 206
2021
-
[17]
P., Khachaturyants , T., Amarante , J
Debattista , V. P., Khachaturyants , T., Amarante , J. A. S., et al. 2024, arXiv e-prints, arXiv:2402.08356
2024 arXiv
-
[18]
Di Matteo , P., Haywood , M., Combes , F., Semelin , B., & Snaith , O. N. 2013, , 553, A102
2013
-
[19]
S., Monteiro , H., L \'e pine , J
Dias , W. S., Monteiro , H., L \'e pine , J. R. D., & Barros , D. A. 2019, , 486, 5726
2019
-
[20]
& Baba , J
Dobbs , C. & Baba , J. 2014, , 31, e035
2014
-
[21]
Donner , K. J. & Thomasson , M. 1994, , 290, 785
1994
-
[22]
2022, , 941, 162
Elia , D., Molinari , S., Schisano , E., et al. 2022, , 941, 162
2022
-
[23]
L., Weinberg , M
Filion , C., McClure , R. L., Weinberg , M. D., D'Onghia , E., & Daniel , K. J. 2023, , 524, 276
2023
-
[24]
2023 a , , 674, A37
Gaia Collaboration , Drimmel , R., Romero-G \'o mez , M., et al. 2023 a , , 674, A37
2023
-
[25]
2023 b , , 674, A38
Gaia Collaboration , Recio-Blanco , A., Kordopatis , G., et al. 2023 b , , 674, A38
2023
-
[26]
Gaia Collaboration , Vallenari , A., Brown , A. G. A., et al. 2023 c , , 674, A1
2023
-
[27]
Garavito-Camargo , N., Besla , G., Laporte , C. F. P., et al. 2021, , 919, 109
2021
-
[28]
, Bono, G
Genovali , K., Lemasle, B. , Bono, G. , et al. 2014, A&A, 566, A37
2014
-
[29]
Georgelin , Y. M. & Georgelin , Y. P. 1976, , 49, 57
1976
-
[30]
2011, Memorie della Societa Astronomica Italiana Supplementi, 18, 185
Gerhard , O. 2011, Memorie della Societa Astronomica Italiana Supplementi, 18, 185
2011
-
[31]
& Reid, N
Gilmore, G. & Reid, N. 1983, Monthly Notices of the Royal Astronomical Society, 202, 1025
1983
-
[32]
Grand , R. J. J., Kawata , D., & Cropper , M. 2012, , 421, 1529
2012
-
[33]
Grand , R. J. J., Springel , V., Kawata , D., et al. 2016, , 460, L94
2016
-
[34]
2024, arXiv e-prints, arXiv:2405.18120
Hackshaw , Z., Hawkins , K., Filion , C., et al. 2024, arXiv e-prints, arXiv:2405.18120
2024 arXiv
-
[35]
2023, , 525, 3318
Hawkins , K. 2023, , 525, 3318
2023
-
[36]
H., et al
Helmi, A., Babusiaux, C., Koppelman, H. H., et al. 2018, Nature, 563, 85
2018
-
[37]
L., Pietrinferni, A., Cassisi, S., et al
Hidalgo, S. L., Pietrinferni, A., Cassisi, S., et al. 2018, ApJ, 856, 125
2018
-
[38]
2020, , 641, A79
Hottier , C., Babusiaux , C., & Arenou , F. 2020, , 641, A79
2020
-
[39]
2021, A&A, 655, A68
Hottier , C., Babusiaux , C., & Arenou , F. 2021, A&A, 655, A68
2021
-
[40]
Hunt , J. A. S., Bub , M. W., Bovy , J., et al. 2019, , 490, 1026
2019
-
[41]
Hunt , J. A. S., Hong , J., Bovy , J., Kawata , D., & Grand , R. J. J. 2018, , 481, 3794
2018
-
[42]
A., Fields , B
Johnson , J. A., Fields , B. D., & Thompson , T. A. 2020, Philosophical Transactions of the Royal Society of London Series A, 378, 20190301
2020
-
[43]
2021, , 655, A111
Katz , D., G \'o mez , A., Haywood , M., Snaith , O., & Di Matteo , P. 2021, , 655, A111
2021
-
[44]
2024, arXiv e-prints, arXiv:2410.22036
Khanna , S., Yu , J., Drimmel , R., et al. 2024, arXiv e-prints, arXiv:2410.22036
2024
-
[45]
2018, , 611, L2
Khoperskov , S., Di Matteo , P., Haywood , M., & Combes , F. 2018, , 611, L2
2018
-
[46]
2020, , 634, L8
Khoperskov , S., Gerhard , O., Di Matteo , P., et al. 2020, , 634, L8
2020
-
[47]
2023, , 671, A56
Khoperskov , S., Sivkova , E., Saburova , A., et al. 2023, , 671, A56
2023
-
[48]
I., & Lugaro , M
Kobayashi , C., Karakas , A. I., & Lugaro , M. 2020, , 900, 179
2020
-
[49]
2022, , 510, 1894
Kovtyukh , V., Lemasle , B., Bono , G., et al. 2022, , 510, 1894
2022
-
[50]
L., Babusiaux , C., & Cox , N
Lallement , R., Vergely , J. L., Babusiaux , C., & Cox , N. L. J. 2022, , 661, A147
2022
-
[51]
Laporte , C. F. P., Johnston , K. V., G \'o mez , F. A., Garavito-Camargo , N., & Besla , G. 2018, , 481, 286
2018
-
[52]
2013, , 558, A31
Lemasle , B., Fran c ois , P., Genovali , K., et al. 2013, , 558, A31
2013
-
[53]
Lin , C. C. & Shu , F. H. 1964, , 140, 646
1964
-
[54]
2016, Astronomische Nachrichten, 337, 944
Minchev , I., Chiappini , C., & Martig , M. 2016, Astronomische Nachrichten, 337, 944
2016
-
[55]
C., et al
Minchev , I., Famaey , B., Quillen , A. C., et al. 2012, , 548, A126
2012
-
[56]
H., Zoccali, M., Rojas-Arriagada, A., et al
Minniti, J. H., Zoccali, M., Rojas-Arriagada, A., et al. 2021, , 654, A138
2021
-
[57]
2019, , 490, 665
Moll \'a , M., Wekesa , S., Cavichia , O., et al. 2019, , 490, 665
2019
-
[58]
1977, , 265, 515
Okuda , H., Maihara , T., Oda , N., & Sugiyama , T. 1977, , 265, 515
1977
-
[59]
, Poggio, E
Palicio , P., Recio-Blanco, A. , Poggio, E. , et al. 2023, A&A, 670, L7
2023
-
[60]
A., Martinez-Valpuesta , I., Allende Prieto , C., et al
Palicio , P. A., Martinez-Valpuesta , I., Allende Prieto , C., et al. 2018, , 478, 1231
2018
-
[61]
S., Grebel , E
Pilyugin , L. S., Grebel , E. K., & Kniazev , A. Y. 2014, , 147, 131
2014
-
[62]
, Cantat-Gaudin, T
Poggio , E., Drimmel, R. , Cantat-Gaudin, T. , et al. 2021, A&A, 651, A104
2021
-
[63]
2024, arXiv e-prints, arXiv:2407.18659
Poggio , E., Khanna , S., Drimmel , R., et al. 2024, arXiv e-prints, arXiv:2407.18659
2024 arXiv
-
[64]
, Palicio, P
Poggio , E., Recio-Blanco, A. , Palicio, P. A. , et al. 2022, A&A, 666, L4
2022
-
[65]
W., Bullock , J
Purcell , C. W., Bullock , J. S., Tollerud , E. J., Rocha , M., & Chakrabarti , S. 2011, , 477, 301
2011
-
[66]
C., Dougherty , J., Bagley , M
Quillen , A. C., Dougherty , J., Bagley , M. B., Minchev , I., & Comparetta , J. 2011, , 417, 762
2011
-
[67]
A., et al
Recio-Blanco , A., de Laverny , P., Palicio , P. A., et al. 2024, arXiv e-prints, arXiv:2402.01522
2024 arXiv
-
[68]
A., et al
Recio-Blanco , A., de Laverny , P., Palicio , P. A., et al. 2023, , 674, A29
2023
-
[69]
J., Menten , K
Reid , M. J., Menten , K. M., Brunthaler , A., et al. 2019, , 885, 131
2019
-
[70]
& Elmegreen , B
Saha , K. & Elmegreen , B. 2016, , 826, L21
2016
-
[71]
2021, , 653, A85
Santos-Peral , P., Recio-Blanco , A., Kordopatis , G., Fern \'a ndez-Alvar , E., & de Laverny , P. 2021, , 653, A85
2021
-
[72]
& Binney, J
Schönrich, R. & Binney, J. 2009, , 396, 203
2009
-
[73]
Sellwood , J. A. 2012, , 751, 44
2012
-
[74]
Sellwood, J. A. & Carlberg, R. G. 2014, ApJ, 785, 137
2014
-
[75]
Shu , F. H. 2016, , 54, 667
2016
-
[76]
1904, The American Journal of Psychology, 15, 72
Spearman, C. 1904, The American Journal of Psychology, 15, 72
1904
-
[77]
2023, , 680, A85
Spitoni , E., Cescutti , G., Recio-Blanco , A., et al. 2023, , 680, A85
2023
-
[78]
, Minchev, I
Spitoni , E., Cescutti, G. , Minchev, I. , et al. 2019, A&A, 628, A38
2019
-
[79]
2017, , 605, A38
Spitoni , E., Gioannini , L., & Matteucci , F. 2017, , 605, A38
2017
-
[80]
F., Athanassoula , E., & Pellat , R
Tagger , M., Sygnet , J. F., Athanassoula , E., & Pellat , R. 1987, , 318, L43
1987
-
[81]
Taylor , J. H. & Cordes , J. M. 1993, , 411, 674
1993
-
[82]
2024, arXiv e-prints, arXiv:2406.00342
Tepper-Garcia , T., Bland-Hawthorn , J., Vasiliev , E., et al. 2024, arXiv e-prints, arXiv:2406.00342
2024 arXiv
-
[83]
1964, , 139, 1217
Toomre , A. 1964, , 139, 1217
1964
-
[84]
L., Lallement , R., & Cox , N
Vergely , J. L., Lallement , R., & Cox , N. L. J. 2022, , 664, A174
2022
-
[85]
Vogt , F. P. A., P\'erez, E. , Dopita, M. A. , Verdes-Montenegro, L. , & Borthakur, S. 2017, A&A, 601, A61
2017
-
[86]
V., Balser , D
Wenger , T. V., Balser , D. S., Anderson , L. D., & Bania , T. M. 2019, , 887, 114
2019
-
[87]
& Naik , A
Widmark , A. & Naik , A. P. 2024, A&A, 686, A70
2024
-
[88]
W., Teixera de Almeida , M
Yong , D., Carney , B. W., Teixera de Almeida , M. L., & Pohl , B. L. 2006, , 131, 2256
2006
-
[89]
2021, , 500, 2359
Zurita , A., Florido , E., Bresolin , F., P \'e rez-Montero , E., & P \'e rez , I. 2021, , 500, 2359
2021
Reviewed August 12, 2026 · model on record in the stance chip above.
Discussion (0). Continue with ORCID to comment.