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REVIEW 3 major objections 6 minor 93 references

Galaxy spin is most strongly tied to photometric structure, outranking stellar age and mass.

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2026-08-01 14:42 UTC pith:ROQPTGDL

load-bearing objection Solid, mostly convincing confirmation that photometric B/T_e and ellipticity beat age and mass as spin proxies in SAMI; the headline ranking is credible, but the photometric-to-kinematic B/T gap and the in-sample predictive scatter need flagging before the feasibility claim is quoted. the 3 major comments →

arxiv 2607.18654 v1 pith:ROQPTGDL submitted 2026-07-21 astro-ph.GA

Morphology-spin connection in the SAMI Galaxy Survey

Youngmin Baek , Sree Oh , Sukyoung K. Yi , Scott M. Croom , Matthew Colless , Jesse van de Sande , Stefania Barsanti , Sam P. Vaughan This is my paper
classification astro-ph.GA
keywords galaxy spinspecific stellar angular momentumkinematic morphologybulge-to-total ratioellipticitypartial correlationpartial least squares regressionfast-rotator sequence
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved

The pith

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

This paper sets out to determine which galaxy properties best explain the spin parameter lambda_Re, a proxy for the specific stellar angular momentum of galaxies. Using a sample of about a thousand galaxies from a large integral-field spectroscopic survey, the authors apply partial correlation analysis and partial least squares regression to competing predictors: bulge-to-total ratio within one effective radius, ellipticity, light-weighted age, stellar mass, and environment. They find that the two photometric morphology indicators dominate, with age a distant second and mass nearly irrelevant once morphology is controlled. If correct, this statistically confirms the fast-rotator sequence—galaxies lose spin as their bulges grow—and suggests that galaxy spin can be inferred from imaging alone, without time-consuming spectroscopic mapping. The paper also shows that these relations reproduce observed spins with a scatter near 0.12 but fail in the slow-rotator regime.

Core claim

The central claim is that photometric structural parameters—the bulge-to-total light ratio measured within one effective radius (B/T_e) and the apparent ellipticity (epsilon_e)—are the strongest and most independent predictors of the spin parameter lambda_Re. In the full sample, B/T_e correlates with lambda_Re at Pearson r = -0.64 and epsilon_e at +0.60; controlling for age, mass, and each other, the partial correlations remain -0.42 and +0.50, while light-weighted age drops to -0.27 and stellar mass to +0.06. In a multivariate partial-least-squares regression, the two morphology indicators account for roughly 82 percent of the explained variance, age adds about 15 percent, and mass essentia

What carries the argument

The argument hangs on the spin parameter lambda_Re—a flux-weighted ratio of ordered to random stellar motion inside one effective radius—and its photometric counterpart B/T_e, the bulge-to-total light ratio measured in the same aperture, derived from two-component bulge-disc decompositions of the imaging. Ellipticity epsilon_e is the second structural variable. The statistical machinery is partial correlation analysis, which isolates the direct association of each predictor with lambda_Re after regressing out the others, and partial least squares regression, which builds latent components maximizing covariance with lambda_Re and allows the variance proportion of each input to be quantified.

Load-bearing premise

The result assumes that the photometric bulge-to-total ratio, measured from images and forced to a two-component model even for a small number of single-component galaxies, faithfully represents the kinematic bulge fraction that drives spin-down; if dust, projection, or luminosity-versus-mass weighting biases this proxy, the ranking of morphology over age could change.

What would settle it

Find a sample of galaxies with both photometric decompositions and kinematic bulge-disc decomposition from stellar orbits; if the photometric B/T_e is not more strongly correlated with lambda_Re than light-weighted age once the kinematic bulge fraction is included—or if the ranking reverses when age is measured with substantially smaller errors—the claim would collapse. Alternatively, show that the slow-rotator overestimation persists even with a flexible two-population model using the full set of photometric parameters, indicating spin is not recoverable from this photometry.

Watch this falsifier — get emailed when new claim-graph text bears on it.

If this is right

  • Spin can be statistically inferred from photometric structure parameters alone, with an rms scatter of about 0.12 in lambda_Re, enabling spin studies on surveys that lack integral-field data.
  • Light-weighted age and stellar mass are secondary; their observed correlations with spin largely disappear once bulge fraction and ellipticity are controlled.
  • The fast-rotator sequence is confirmed: lambda_Re declines continuously as bulge prominence increases, linking spiral and early-type galaxies in one structural-kinematic sequence.
  • The empirical relations do not reproduce the slow-rotator population, which behaves as a distinct class rather than the low-spin tail of the fast-rotator sequence.
  • The ranking of morphology over age and mass is consistent across the primary survey and an independent survey, suggesting a general connection rather than a sample-specific artifact.

Where Pith is reading between the lines

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

  • If the photometric–spin link holds, large imaging surveys at higher redshift could statistically map the spin distribution of galaxies without integral-field spectroscopy, extending the fast-rotator sequence backward in cosmic time.
  • The residual scatter around the B/T_e–lambda_Re relation is partly explained by bulge type (Sérsic index) and bar presence, so adding these to the predictor set—or using a two-step model that separates fast and slow rotators—may recover more of the slow-rotator population.
  • Since stellar mass becomes the top feature in the early-type-only classification, the apparent mass dependence of kinematic morphology may be a secondary consequence of mass–size–structure correlations rather than an independent driver.
  • A direct test would be to apply the same analysis to a sample with kinematic bulge-disc decomposition to see whether photometric B/T_e remains the best proxy when the true dynamical bulge fraction is known.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit.

Referee Report

3 major / 6 minor

Summary. The paper investigates which galaxy properties most strongly correlate with the spin parameter lambda_Re using the SAMI Galaxy Survey DR3. The authors build a sample of 1031 galaxies with reliable kinematics, structural parameters, stellar population properties, and environmental densities. They use Pearson/Spearman correlations, partial correlation analysis, partial least squares (PLS) regression, and a random forest classifier to rank the importance of morphology (B/T_e, epsilon_e), light-weighted age (Age_LW), stellar mass (M_star), and local environment (Sigma_5). They report that the morphology indicators B/T_e and epsilon_e show the strongest correlations with lambda_Re and dominate the explained variance in multivariate regressions, while Age_LW is secondary and M_star is weak. They further show that a PLS model using only B/T_e and epsilon_e reproduces the observed lambda_Re with a residual scatter of about 0.12, but fails in the slow-rotator regime. A MaNGA consistency check yields qualitatively similar results. The paper interprets the morphology-spin connection as evidence that bulge growth and spin-down are closely linked.

Significance. If the conclusions hold, this work provides a quantitative, multi-method ranking of the drivers of galaxy spin in a large IFS sample, and suggests that photometric structural parameters can serve as practical proxies for lambda_Re. The study is strengthened by its use of aperture-matched B/T_e, a MaNGA consistency check, and a robustness test against beam-smearing correction (Appendix B). The main weaknesses are the reliance on photometric B/T_e as a proxy for the kinematic bulge fraction without direct validation, the in-sample scatter reported for the predictive PLS model, and a large sample attrition at the step requiring structural parameters whose selection function is not characterized.

major comments (3)
  1. [Section 3.1 and Section 6.1] The central claim that B/T_e and epsilon_e are the primary drivers of lambda_Re rests on B/T_e from photometric bulge-disc decompositions. However, the paper itself notes in Section 6.1 (citing Jang et al. 2023) that photometric and kinematic B/T differ because the former is luminosity-weighted and the latter mass-weighted. Since B/T_e is strongly correlated with Age_LW (r=0.609, Table 4), a systematic bias in B/T_e that tracks stellar age could alter the partial correlation ranking in Table 3, where Age_LW's partial correlation drops from -0.58 to -0.27 after controlling for B/T_e and epsilon_e. The authors should either validate photometric B/T_e against kinematic decomposition for at least a subset of the SAMI sample, or perform a sensitivity test using alternative structural proxies (e.g., Sersic index, concentration) to confirm that the ranking in Tables 2-5 is not an artifact of th
  2. [Section 5.3 and Figure 5] The reported scatter of ~0.12 in reproducing lambda_Re from B/T_e and epsilon_e is computed on the in-sample data without cross-validation. The number of PLS components is chosen by minimizing the MSE on the full sample, so the model is optimized on the same galaxies used for evaluation. Since the stated goal is statistical inference of spin from non-IFS observables, an out-of-sample estimate (e.g., k-fold cross-validation or a held-out test set) is needed to assess realistic predictive performance. Without it, the 'scatter of about 0.12' is likely optimistic and does not support the feasibility claim in the abstract.
  3. [Section 3.2 and Table 1] The sample size drops from 1600 (after kinematic and resolution cuts) to 1053 when requiring B/T_e and epsilon_e measurements (Step 4). This is a loss of about one-third of the sample, but the paper does not discuss whether the availability of these structural parameters is random. If galaxies with missing B/T_e tend to be disc-dominated, low-surface-brightness, or have other systematically different properties, the strong B/T_e correlation may be amplified by selection. The authors should quantify the selection function (e.g., compare properties of the 1600 galaxies with and without B/T_e measurements) and assess whether the final sample is representative.
minor comments (6)
  1. [Section 3.1] For the 26 galaxies that preferentially select a single-component model, two-component fits are used anyway. While the paper states this is a small minority, it does not demonstrate that the results are unchanged; a brief test excluding these 26 galaxies would be more convincing.
  2. [Figure 4] The caption mentions triangles indicating galaxies with a preferred single-component model, but the text does not discuss these points or their possible influence on the fitted relations.
  3. [Section 5.2] The variance proportion defined in Eq. (2) is not a unique decomposition of explained variance when predictors are correlated (as shown in Table 4). The text could clarify that these proportions are based on the PLS components and depend on the chosen number of components.
  4. [Section 5.3] The random forest results report feature importances but not the actual ROC-AUC scores of the best model. Reporting these scores would help readers evaluate the classification performance and interpret the importances.
  5. [Appendix B] The seeing-affected lambda_Re actually shows slightly stronger correlations with B/T_e and epsilon_e (Table B1) than the beam-smearing-corrected version. The text only says 'qualitative conclusions remain unchanged'; a brief explanation of this apparent strengthening would be useful.
  6. [Appendix A] The MaNGA consistency check uses global B/T instead of the aperture-matched B/T_e. The authors acknowledge this, but a direct comparison using global B/T in the SAMI sample would better isolate the effect of the aperture choice.

Circularity Check

0 steps flagged

No significant circularity: the spin–morphology ranking is established from independently measured kinematic and photometric quantities, not from a definitional identity or a self-citation chain.

full rationale

λ_Re is defined and measured from IFS stellar kinematics (Eq. 1), while B/T_e and ε_e are photometric structural parameters from the external decomposition catalogues of Barsanti et al. (2021) and Casura et al. (2022). No equation in the paper defines λ_Re in terms of B/T_e or ε_e, and no fitted parameter is renamed as an independent prediction: the PLS model is fit to the SAMI sample and used to estimate/reproduce λ_Re in-sample, and the paper explicitly states in Section 6.3 that “the predictive models discussed here have not yet been tested in the same way on external IFS data.” The only possible construct-driven inflation of the morphology–spin correlation is the beam-smearing correction of λ_Re, which depends on Sérsic index and ellipticity; the authors recognize this risk in Section 2.2 and repeat the key analysis with seeing-affected λ_Re in Appendix B, reporting that “The main qualitative conclusions remain unchanged.” The self-citations used (van de Sande et al. 2021a,b; Croom et al. 2024; Barsanti et al. 2025; Oh et al. 2020) are prior empirical results, catalogues, and method papers, not uniqueness theorems or unsupported premises that force the current conclusion. The acknowledged difference between photometric and kinematic B/T (Section 6.1) is an important measurement-validity caveat, but it is a limitation of the photometric proxy, not a circular construction of the result.

Axiom & Free-Parameter Ledger

2 free parameters · 4 axioms · 0 invented entities

The paper introduces no new physical entities or ad hoc physical constants. Its central claim rests on calibrated statistical model fitting and on the fidelity of external photometric decomposition catalogues. The main free parameters are the statistical model coefficients and hyperparameters, not theory constants. The weakest assumption is the fidelity of photometric B/T_e as a proxy for the kinematic bulge fraction.

free parameters (2)
  • PLS regression coefficients and number of components = not tabulated; component number chosen by minimizing MSE in §4.2
    The predictive model and variance proportions in §5.2 depend on the fitted PLS model. This is statistical model fitting, not a physical derivation, but it is what produces the central ranking.
  • Random forest hyperparameters = selected by GridSearchCV; best values not listed
    Feature importances in §5.3 depend on the tuned hyperparameters, though the authors report robustness via Top-10 median importances.
axioms (4)
  • standard math The statistical methods (Pearson/Spearman correlations, partial correlations, PLS, random forest) are appropriate for these data and their collinearities.
    Invoked throughout Section 4; the interpretation of variance proportions and feature importances assumes the methods identify meaningful associations rather than artifacts of collinearity.
  • domain assumption Photometric bulge-disk decompositions from Barsanti et al. (2021) and Casura et al. (2022) correctly identify bulge and disk components for SAMI galaxies.
    Section 3.1 uses these catalogues to define B/T_e; if the decompositions are unreliable, the central ranking is weakened. The authors excluded 7 swapped-component galaxies and used double-component fits for all 1031, including 26 that preferred single-component models.
  • domain assumption The beam-smearing-corrected lambda_Re values recover intrinsic kinematics and do not bias the morphology correlation.
    Section 2.2 adopts corrected lambda_Re; the correction itself depends on ellipticity and Sérsic index. The authors test the alternative in Appendix B, showing the qualitative result is unchanged.
  • domain assumption SAMI DR3 quality cuts and the MGE/photometric catalogues provide unbiased structural parameters for the final 1031-galaxy sample.
    Sample selection in Section 3.2 assumes the availability cuts (Steps 1–6) do not introduce a systematic bias strong enough to change the ranking.

pith-pipeline@v1.3.0-alltime-deepseek · 22252 in / 8285 out tokens · 74065 ms · 2026-08-01T14:42:42.935520+00:00 · methodology

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read the original abstract

The spin parameter $\lambda_{\rm{R_e}}$ is a proxy for the specific stellar angular momentum of galaxies and is a useful metric for classifying kinematic morphology. This study aims to quantify the relative importance of galaxy properties in explaining $\lambda_{\rm{R_e}}$, using data from the Sydney-AAO Multi-object Integral-field spectrograph (SAMI) Galaxy Survey. We apply partial correlation analysis and partial least squares regression to assess the relative contributions of different parameters in explaining $\lambda_{\rm{R_e}}$. We find that morphology indicators, bulge-to-total ratio within one effective radius ($B/T_\rm{e}$) and ellipticity ($\varepsilon_\rm{e}$), show the strongest correlations with $\lambda_{\rm{R_e}}$ and play a leading role in the regression analysis. This result statistically confirms the established fast-rotator sequence, in which fast-rotating early-type galaxies form a continuous structural and kinematic sequence with spiral galaxies, with $\lambda_{\rm{R_e}}$ decreasing as bulge prominence increases. The light-weighted age and stellar mass also exhibit significant correlations, but their contributions are secondary to the morphology indicators in multivariate analyses. We also examine whether the observed trends in $\lambda_{\rm{R_e}}$ can be reproduced using galaxy properties alone. The morphology indicators (${B/T_\rm{e}}$, $\varepsilon_\rm{e}$) reproduce the overall distribution of observed $\lambda_{\rm{R_e}}$ with a scatter of about 0.12, while the inclusion of Age_LW and $M_\star$ provides only modest additional improvement. However, these relations do not reproduce the slow-rotator regime well. Overall, our results show that photometric structural parameters best explain $\lambda_{\rm{R_e}}$ and suggest that statistical inference of galaxy spin from non-IFS observables may become feasible with improved models and a broader set of parameters.

Figures

Figures reproduced from arXiv: 2607.18654 by Jesse van de Sande, Matthew Colless, Sam P. Vaughan, Scott M. Croom, Sree Oh, Stefania Barsanti, Sukyoung K. Yi, Youngmin Baek.

Figure 1
Figure 1. Figure 1: Distribution of visual morphologies in our final sample. Classifi￾cations are taken from the VisualMorphologyDR3 catalogue (Cortese et al. 2016), based on SDSS/VST imaging, galaxies without a consensus classifi￾cation are labelled as Unknown. i.e. on the same spatial scale as 𝜆Re , whereas the stellar mass (𝑀★) and the environment metric (Σ5) are not. Our final sample spans wide ranges of various galaxy pa… view at source ↗
Figure 2
Figure 2. Figure 2: Top row: galaxies in the 𝜆Re – 𝜀e plane, colour-coded by parameters expected to correlate with galaxy spin (𝐵/𝑇e, AgeLW, log(𝑀★/𝑀⊙ )). The black trapezoid marks the slow-rotator region, defined following the SAMI-quality data criterion of van de Sande et al. (2021a): 𝜆Re < 0.12 + 𝜀e/4 and 𝜀e < 0.43. Bottom row: LOESS-smoothed (Cappellari et al. 2013) versions of the same panels, highlighting the average tr… view at source ↗
Figure 3
Figure 3. Figure 3: Plots of spin parameter 𝜆Re and various galaxy properties. The x-axis is in order of 𝐵/𝑇e, 𝐵/𝑇, ellipticity (𝜀e), light-weighted age (AgeLW), specific star formation rate within effective radius (sSFRRe ), mass-weighted age (AgeMW) and surface star formation rate density (ΣSFR), stellar mass (log(𝑀★/𝑀⊙ )), local environment surface density (log Σ5). Except for 𝐵/𝑇, stellar mass, and Σ5, all galaxy properti… view at source ↗
Figure 4
Figure 4. Figure 4: Relation between 𝜆Re and 𝐵/𝑇e for galaxies split by the Sérsic index of the bulge component. Blue points show galaxies with 𝑛bulge < 2 and orange points those with 𝑛bulge > 2. Solid lines indicate the corresponding best-fitting linear relations, with the fitted equations and sample sizes given in the legend. The top and right panels show the histograms of 𝐵/𝑇e and 𝜆Re for each subsample. Galaxies with 𝑛bul… view at source ↗
Figure 5
Figure 5. Figure 5: Comparison between observed and predicted 𝜆Re . In the top panels, the 𝑥–axis shows the values of 𝜆Re predicted by the PLS regression models and the 𝑦–axis shows the observed 𝜆Re (the one-to-one line is plotted) and the standard deviation of the residuals between predicted and observed values is indicated in the top-left corner of each panel. From left to right, the models use (𝐵/𝑇e, 𝜀e), (𝐵/𝑇e, 𝜀e, AgeLW)… view at source ↗
Figure 6
Figure 6. Figure 6: Comparison between observed and predicted 𝜆Re for the PLS and symbolic regression models. In the top panels, the x-axis shows the values of 𝜆Re predicted by each model and the y-axis shows the observed 𝜆Re (the one-to-one line is shown). The standard deviation of the residuals between predicted and observed values is indicated in the top-left corner of each panel. From left to right, the three columns show… view at source ↗

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Works this paper leans on

93 extracted references · 7 canonical work pages

  1. [1]

    , keywords =

    The SAMI Galaxy Survey: Revisiting Galaxy Classification through High-order Stellar Kinematics. , keywords =. doi:10.3847/1538-4357/835/1/104 , archivePrefix =. 1611.07039 , primaryClass =

    Pith/arXiv arXiv

  2. [2]

    , keywords =

    The SAMI Galaxy Survey: revising the fraction of slow rotators in IFS galaxy surveys. , keywords =. doi:10.1093/mnras/stx1751 , archivePrefix =. 1707.03402 , primaryClass =

    Pith/arXiv arXiv

  3. [4]

    , keywords =

    The SAMI Galaxy Survey: the third and final data release. , keywords =. doi:10.1093/mnras/stab229 , archivePrefix =. 2101.12224 , primaryClass =

    arXiv

  4. [5]

    MNRAS , volume =

    D’Eugenio, Francesco and Colless, Matthew and Scott, Nicholas and van der Wel, Arjen and Davies, Roger L and van de Sande, Jesse and Sweet, Sarah M and Oh, Sree and Groves, Brent and Sharp, Rob and Owers, Matt S and Bland-Hawthorn, Joss and Croom, Scott M and Brough, Sarah and Bryant, Julia J and Goodwin, Michael and Lawrence, Jon S and Lorente, Nuria P F...

    work page doi:10.1093/mnras/stab1146 2021

  5. [6]

    , keywords =

    The SAMI Galaxy Survey: instrument specification and target selection. , keywords =. doi:10.1093/mnras/stu2635 , archivePrefix =. 1407.7335 , primaryClass =

    Pith/arXiv arXiv

  6. [7]

    , keywords =

    The SAMI Galaxy Survey: the cluster redshift survey, target selection and cluster properties. , keywords =. doi:10.1093/mnras/stx562 , archivePrefix =. 1703.00997 , primaryClass =

    Pith/arXiv arXiv

  7. [8]

    , keywords =

    The SAMI galaxy survey: Galaxy size can explain the offset between star-forming and passive galaxies in the mass-metallicity relationship. , keywords =. doi:10.1093/mnras/stac2304 , archivePrefix =. 2208.06939 , primaryClass =

    Pith/arXiv arXiv

  8. [9]

    Barsanti and M

    S. Barsanti and M. S. Owers and R. M. McDermid and K. Bekki and J. J. Bryant and S. M. Croom and S. Oh and A. S. G. Robotham and N. Scott and J. van de Sande , title =. ApJ , abstract =. 2021 , month =. doi:10.3847/1538-4357/abe5ac , url =

    doi:10.3847/1538-4357/abe5ac 2021

  9. [10]

    , keywords =

    Galaxy And Mass Assembly (GAMA): bulge-disc decomposition of KiDS data in the nearby Universe. , keywords =. doi:10.1093/mnras/stac2267 , archivePrefix =. 2208.07608 , primaryClass =

    Pith/arXiv arXiv

  10. [11]

    , keywords =

    The SAMI Galaxy Survey: decomposed stellar kinematics of galaxy bulges and disks. , keywords =. doi:10.1093/mnras/staa1330 , archivePrefix =. 2005.06474 , primaryClass =

    Pith/arXiv arXiv 2005

  11. [12]

    , keywords =

    The SAMI Galaxy Survey: Data Release Two with absorption-line physics value-added products. , keywords =. doi:10.1093/mnras/sty2355 , archivePrefix =. 1808.03365 , primaryClass =

    Pith/arXiv arXiv

  12. [13]

    , keywords =

    The SAMI Galaxy Survey: the link between angular momentum and optical morphology. , keywords =. doi:10.1093/mnras/stw1891 , archivePrefix =. 1608.00291 , primaryClass =

    Pith/arXiv arXiv

  13. [14]

    PASP , abstract =

    Michele Cappellari and Eric Emsellem , title =. PASP , abstract =. 2004 , month =. doi:10.1086/381875 , url =

    doi:10.1086/381875 2004

  14. [15]

    MNRAS , volume =

    Cappellari, Michele , title =. MNRAS , volume =. 2016 , month =. doi:10.1093/mnras/stw3020 , url =

    doi:10.1093/mnras/stw3020 2016

  15. [16]

    2018 , publisher =

    Raphael Vallat , title =. 2018 , publisher =. doi:10.21105/joss.01026 , url =

    doi:10.21105/joss.01026 2018

  16. [17]

    MNRAS , volume =

    Vaughan, Sam P and van de Sande, Jesse and Fraser-McKelvie, A and Croom, Scott and McDermid, Richard and Liquet-Weiland, Benoit and Barsanti, Stefania and Cortese, Luca and Brough, Sarah and Sweet, Sarah and Bryant, Julia J and Goodwin, Michael and Lawrence, Jon , title = ". MNRAS , volume =. 2024 , month =. doi:10.1093/mnras/stae409 , url =

    work page doi:10.1093/mnras/stae409 2024

  17. [18]

    J. K. Jang and Sukyoung K. Yi and Yohan Dubois and Jinsu Rhee and Christophe Pichon and Taysun Kimm and Julien Devriendt and Marta Volonteri and Sugata Kaviraj and Sebastien Peirani and Sree Oh and Scott Croom , title =. ApJ , abstract =. 2023 , month =. doi:10.3847/1538-4357/accd68 , url =

    doi:10.3847/1538-4357/accd68 2023

  18. [19]

    and Copin, Y

    Bacon, R. and Copin, Y. and Monnet, G. and Miller, Bryan W. and Allington-Smith, J.R. and Bureau, M. and Marcella Carollo, C. and Davies, Roger L. and Emsellem, Eric and Kuntschner, Harald and Peletier, Reynier F. and Verolme, E.K. and Tim de Zeeuw, P. , title = ". MNRAS , volume =. 2001 , month =. doi:10.1046/j.1365-8711.2001.04612.x , url =

    arXiv 2001

  19. [21]

    and Bureau, M

    Cappellari, Michele and Emsellem, Eric and Bacon, R. and Bureau, M. and Davies, Roger L. and De Zeeuw, P. T. and Falcón-Barroso, Jesús and Krajnović, Davor and Kuntschner, Harald and McDermid, Richard M. and Peletier, Reynier F. and Sarzi, Marc and Van Den Bosch, Remco C. E. and Van De Ven, Glenn , title = ". MNRAS , volume =. 2007 , month =. doi:10.1111/...

    arXiv 2007

  20. [22]

    Structure and Kinematics of Early-Type Galaxies from Integral Field Spectroscopy , volume=

    Cappellari, Michele , year=. Structure and Kinematics of Early-Type Galaxies from Integral Field Spectroscopy , volume=. ARA&A , publisher=. doi:10.1146/annurev-astro-082214-122432 , number=

    doi:10.1146/annurev-astro-082214-122432

  21. [24]

    MNRAS , volume =

    van de Sande, Jesse and Vaughan, Sam P and Cortese, Luca and Scott, Nicholas and Bland-Hawthorn, Joss and Croom, Scott M and Lagos, Claudia D P and Brough, Sarah and Bryant, Julia J and Devriendt, Julien and Dubois, Yohan and D’Eugenio, Francesco and Foster, Caroline and Fraser-McKelvie, Amelia and Harborne, Katherine E and Lawrence, Jon S and Oh, Sree an...

    2021

  22. [25]

    , keywords =

    Galaxy morphology in rich clusters: implications for the formation and evolution of galaxies. , keywords =. doi:10.1086/157753 , adsurl =

    doi:10.1086/157753

  23. [28]

    , keywords =

    Overview of the SDSS-IV MaNGA Survey: Mapping nearby Galaxies at Apache Point Observatory. , keywords =. doi:10.1088/0004-637X/798/1/7 , archivePrefix =. 1412.1482 , primaryClass =

    Pith/arXiv arXiv

  24. [29]

    Owers and Francesco d’Eugenio and Rob Sharp and Luca Cortese and Nicholas Scott and Scott M

    Sarah Brough and Jesse van de Sande and Matt S. Owers and Francesco d’Eugenio and Rob Sharp and Luca Cortese and Nicholas Scott and Scott M. Croom and Rob Bassett and Kenji Bekki and Joss Bland-Hawthorn and Julia J. Bryant and Roger Davies and Michael J. Drinkwater and Simon P. Driver and Caroline Foster and Gregory Goldstein and Á. R. López-Sánchez and A...

    2017

  25. [30]

    J. E. Greene and A. Leauthaud and E. Emsellem and D. Goddard and J. Ge and B. H. Andrews and J. Brinkman and J. R. Brownstein and J. Greco and D. Law and Y.-T. Lin and K. L. Masters and M. Merrifield and S. More and N. Okabe and D. P. Schneider and D. Thomas and D. A. Wake and R. Yan and N. Drory , title =. ApJL , abstract =. 2017 , month =. doi:10.3847/2...

    work page doi:10.3847/2041-8213/aa8ace 2017

  26. [31]

    MNRAS , volume =

    van de Sande, Jesse and Croom, Scott M and Bland-Hawthorn, Joss and Cortese, Luca and Scott, Nicholas and Lagos, Claudia D P and D’Eugenio, Francesco and Bryant, Julia J and Brough, Sarah and Catinella, Barbara and Foster, Caroline and Groves, Brent and Harborne, Katherine E and López-Sánchez, Ángel R and McDermid, Richard and Medling, Anne and Owers, Mat...

    doi:10.1093/mnras/stab2647 2021

  27. [32]

    Obreschkow and K

    D. Obreschkow and K. Glazebrook , title =. ApJ , abstract =. 2014 , month =. doi:10.1088/0004-637X/784/1/26 , url =

    doi:10.1088/0004-637x/784/1/26 2014

  28. [33]

    Sweet and David Fisher and Karl Glazebrook and Danail Obreschkow and Claudia Lagos and Liang Wang , title =

    Sarah M. Sweet and David Fisher and Karl Glazebrook and Danail Obreschkow and Claudia Lagos and Liang Wang , title =. ApJ , abstract =. 2018 , month =. doi:10.3847/1538-4357/aabfc4 , url =

    doi:10.3847/1538-4357/aabfc4 2018

  29. [34]

    MNRAS , volume =

    Croom, Scott M and van de Sande, Jesse and Vaughan, Sam P and Rutherford, Tomas H and Lagos, Claudia del P and Barsanti, Stefania and Bland-Hawthorn, Joss and Brough, Sarah and Bryant, Julia J and Colless, Matthew and Cortese, Luca and D’Eugenio, Francesco and Fraser-McKelvie, Amelia and Goodwin, Michael and Lorente, Nuria P F and Richards, Samuel N and R...

    doi:10.1093/mnras/stae458 2024

  30. [35]

    MNRAS , volume =

    Harborne, K E and van de Sande, J and Cortese, L and Power, C and Robotham, A S G and Lagos, C D P and Croom, S , title = ". MNRAS , volume =. 2020 , month =. doi:10.1093/mnras/staa1847 , url =

    doi:10.1093/mnras/staa1847 2020

  31. [36]

    , year = 1926, month = dec, volume =

    Extragalactic nebulae. , year = 1926, month = dec, volume =. doi:10.1086/143018 , adsurl =

    doi:10.1086/143018 1926

  32. [37]

    , keywords =

    Is the flattening of elliptical galaxies necessarily due to rotation?. , keywords =. doi:10.1093/mnras/177.1.19 , adsurl =

    doi:10.1093/mnras/177.1.19

  33. [38]

    Dynamics of early type galaxies. I. The rotation curve of the elliptical galaxy NGC 4697. , keywords =. doi:10.1086/153808 , adsurl =

    doi:10.1086/153808

  34. [39]

    , keywords =

    Rotation (?) in 13 elliptical galaxies. , keywords =. doi:10.1086/182572 , adsurl =

    doi:10.1086/182572

  35. [40]

    , year = 1969, month = feb, volume =

    Origin of the Angular Momentum of Galaxies. , year = 1969, month = feb, volume =. doi:10.1086/149876 , adsurl =

    doi:10.1086/149876 1969

  36. [41]

    Evolution of Galaxies and Stellar Populations , year = 1977, editor =

    Mergers and Some Consequences. Evolution of Galaxies and Stellar Populations , year = 1977, editor =

    1977

  37. [42]

    Transformations of Galaxies. I. Mergers of Equal-Mass Stellar Disks. , keywords =. doi:10.1086/171522 , adsurl =

    doi:10.1086/171522

  38. [43]

    , keywords =

    The SAMI Galaxy Survey: large-scale environment affects galaxy spin amplitudes and the formation of slow rotators. , keywords =. doi:10.1093/mnras/staf426 , archivePrefix =. 2503.09052 , primaryClass =

    Pith/arXiv arXiv

  39. [44]

    , keywords =

    SDSS-IV MaNGA: full spectroscopic bulge-disc decomposition of MaNGA early-type galaxies. , keywords =. doi:10.1093/mnras/stz431 , archivePrefix =. 1902.03792 , primaryClass =

    Pith/arXiv arXiv 1902

  40. [45]

    and Hopkins, Andrew M

    Taylor, Edward N. and Hopkins, Andrew M. and Baldry, Ivan K. and Brown, Michael J. I. and Driver, Simon P. and Kelvin, Lee S. and Hill, David T. and Robotham, Aaron S. G. and Bland-Hawthorn, Joss and Jones, D. H. and Sharp, R. G. and Thomas, Daniel and Liske, Jochen and Loveday, Jon and Norberg, Peder and Peacock, J. A. and Bamford, Steven P. and Brough, ...

    arXiv 2011

  41. [46]

    and Peletier, R

    Sánchez-Blázquez, P. and Peletier, R. F. and Jiménez-Vicente, J. and Cardiel, N. and Cenarro, A. J. and Falcón-Barroso, J. and Gorgas, J. and Selam, S. and Vazdekis, A. , title =. MNRAS , volume =. 2006 , month =. doi:10.1111/j.1365-2966.2006.10699.x , url =

    arXiv 2006

  42. [47]

    PASP , abstract =

    Chabrier, Gilles , title =. PASP , abstract =. 2003 , month =. doi:10.1086/376392 , url =

    doi:10.1086/376392 2003

  43. [48]

    , keywords =

    Past and Future Star Formation in Disk Galaxies. , keywords =. doi:10.1086/174790 , adsurl =

    doi:10.1086/174790

  44. [49]

    , keywords =

    PROFIT: Bayesian profile fitting of galaxy images. , keywords =. doi:10.1093/mnras/stw3039 , archivePrefix =. 1611.08586 , primaryClass =

    Pith/arXiv arXiv

  45. [50]

    MNRAS , volume =

    Robotham, A S G and Davies, L J M and Driver, S P and Koushan, S and Taranu, D S and Casura, S and Liske, J , title =. MNRAS , volume =. 2018 , month =. doi:10.1093/mnras/sty440 , url =

    doi:10.1093/mnras/sty440 2018

  46. [51]

    Scikit-learn: Machine Learning in Python , volume =

    Pedregosa, Fabian and Varoquaux, Gael and Gramfort, Alexandre and Michel, Vincent and Thirion, Bertrand and Grisel, Olivier and Blondel, Mathieu and Prettenhofer, Peter and Weiss, Ron and Dubourg, Vincent and Vanderplas, Jake and Passos, Alexandre and Cournapeau, David and Brucher, Matthieu and Perrot, Matthieu and Duchesnay, Edouard and Louppe, Gilles , ...

  47. [52]

    MNRAS , volume =

    Oh, Sree and Colless, Matthew and D’Eugenio, Francesco and Croom, Scott M and Cortese, Luca and Groves, Brent and Kewley, Lisa J and van de Sande, Jesse and Zovaro, Henry and Varidel, Mathew R and Barsanti, Stefania and Bland-Hawthorn, Joss and Brough, Sarah and Bryant, Julia J and Casura, Sarah and Lawrence, Jon S and Lorente, Nuria P F and Medling, Anne...

    doi:10.1093/mnras/stac509 2022

  48. [53]

    MNRAS , volume =

    Barsanti, Stefania and Colless, Matthew and D’Eugenio, Francesco and Oh, Sree and Bryant, Julia J and Casura, Sarah and Croom, Scott M and Mai, Yifan and Ristea, Andrei and van de Sande, Jesse and Welker, Charlotte and Zovaro, Henry R M , title =. MNRAS , volume =. 2023 , month =. doi:10.1093/mnras/stad2728 , url =

    work page doi:10.1093/mnras/stad2728 2023

  49. [54]

    and Davis, Timothy A

    Krajnović, Davor and Alatalo, Katherine and Blitz, Leo and Bois, Maxime and Bournaud, Frédéric and Bureau, Martin and Cappellari, Michele and Davies, Roger L. and Davis, Timothy A. and de Zeeuw, P. T. and Duc, Pierre-Alain and Emsellem, Eric and Khochfar, Sadegh and Kuntschner, Harald and McDermid, Richard M. and Morganti, Raffaella and Naab, Thorsten and...

    2012

  50. [55]

    , keywords =

    Mergers and Bulge Formation in CDM: Which Mergers Matter?. , keywords =. doi:10.1088/0004-637X/715/1/202 , archivePrefix =. 0906.5357 , primaryClass =

    Pith/arXiv arXiv

  51. [56]

    and Emsellem, E

    Naab, Thorsten and Oser, L. and Emsellem, E. and Cappellari, Michele and Krajnović, D. and McDermid, R. M. and Alatalo, K. and Bayet, E. and Blitz, L. and Bois, M. and Bournaud, F. and Bureau, M. and Crocker, A. and Davies, R. L. and Davis, T. A. and de Zeeuw, P. T. and Duc, P.-A. and Hirschmann, M. and Johansson, P. H. and Khochfar, S. and Kuntschner, H....

    2014

  52. [57]

    Connecting dynamical and morphological properties of early-type galaxies at different redshifts

    Kinematics of simulated galaxies - I. Connecting dynamical and morphological properties of early-type galaxies at different redshifts. , keywords =. doi:10.1093/mnras/sty2090 , archivePrefix =. 1802.01583 , primaryClass =

    Pith/arXiv arXiv

  53. [58]

    , title =

    Choi, Hoseung and Yi, Sukyoung K. , title =. ApJ , abstract =. 2017 , month =. doi:10.3847/1538-4357/aa5e4b , url =

    doi:10.3847/1538-4357/aa5e4b 2017

  54. [59]

    and Romanowsky, Aaron J

    Moody, Christopher E. and Romanowsky, Aaron J. and Cox, Thomas J. and Novak, G. S. and Primack, Joel R. , title =. MNRAS , volume =. 2014 , month =. doi:10.1093/mnras/stu1444 , url =

    work page doi:10.1093/mnras/stu1444 2014

  55. [61]

    ApJ , abstract =

    Dekel, Avishai and Sari, Re'em and Ceverino, Daniel , title =. ApJ , abstract =. 2009 , month =. doi:10.1088/0004-637X/703/1/785 , url =

    doi:10.1088/0004-637x/703/1/785 2009

  56. [62]

    ApJ , abstract =

    Noguchi, Masafumi , title =. ApJ , abstract =. 1999 , month =. doi:10.1086/306932 , url =

    doi:10.1086/306932 1999

  57. [63]

    and Feldmann, Robert and Kereš, Dušan and Faucher-Giguère, Claude-André and Murray, Norman , title =

    Oklopčić, Antonija and Hopkins, Philip F. and Feldmann, Robert and Kereš, Dušan and Faucher-Giguère, Claude-André and Murray, Norman , title =. MNRAS , volume =. 2016 , month =. doi:10.1093/mnras/stw2754 , url =

    doi:10.1093/mnras/stw2754 2016

  58. [64]

    and Bournaud, Frédéric and Elmegreen, Debra Meloy , title =

    Elmegreen, Bruce G. and Bournaud, Frédéric and Elmegreen, Debra Meloy , title =. ApJ , abstract =. 2008 , month =. doi:10.1086/592190 , url =

    doi:10.1086/592190 2008

  59. [65]

    MNRAS , volume =

    Mandelker, Nir and Dekel, Avishai and Ceverino, Daniel and DeGraf, Colin and Guo, Yicheng and Primack, Joel , title =. MNRAS , volume =. 2016 , month =. doi:10.1093/mnras/stw2358 , url =

    doi:10.1093/mnras/stw2358 2016

  60. [66]

    MNRAS , volume =

    Sharma, Sanjib and Hayden, Michael R and Bland-Hawthorn, Joss and Stello, Dennis and Buder, Sven and Zinn, Joel C and Kallinger, Thomas and Asplund, Martin and De Silva, Gayandhi M and D’Orazi, Valentina and Freeman, Ken and Kos, Janez and Lewis, Geraint F and Lin, Jane and Lind, Karin and Martell, Sarah and Simpson, Jeffrey D and Wittenmyer, Rob A and Zu...

    2021

  61. [67]

    , keywords =

    On the Significance of the Thick Disks of Disk Galaxies. , keywords =. doi:10.3847/1538-4365/ad0e71 , archivePrefix =. 2308.03566 , primaryClass =

    Pith/arXiv arXiv

  62. [68]

    and Förster Schreiber, N

    Wisnioski, E. and Förster Schreiber, N. M. and Wuyts, S. and Wuyts, E. and Bandara, K. and Wilman, D. and Genzel, R. and Bender, R. and Davies, R. and Fossati, M. and Lang, P. and Mendel, J. T. and Beifiori, A. and Brammer, G. and Chan, J. and Fabricius, M. and Fudamoto, Y. and Kulkarni, S. and Kurk, J. and Lutz, D. and Nelson, E. J. and Momcheva, I. and ...

    doi:10.1088/0004 2015

  63. [69]

    MNRAS , volume =

    Johnson, H L and Harrison, C M and Swinbank, A M and Tiley, A L and Stott, J P and Bower, R G and Smail, Ian and Bunker, A J and Sobral, D and Turner, O J and Best, P and Bureau, M and Cirasuolo, M and Jarvis, M J and Magdis, G and Sharples, R M and Bland-Hawthorn, J and Catinella, B and Cortese, L and Croom, S M and Federrath, C and Glazebrook, K and Swe...

    2017

  64. [70]

    and Genzel, R

    Übler, H. and Genzel, R. and Wisnioski, E. and Schreiber, N. M. Förster and Shimizu, T. T. and Price, S. H. and Tacconi, L. J. and Belli, S. and Wilman, D. J. and Fossati, M. and Mendel, J. T. and Davies, R. L. and Beifiori, A. and Bender, R. and Brammer, G. B. and Burkert, A. and Chan, J. and Davies, R. I. and Fabricius, M. and Galametz, A. and Herrera-C...

    2019

  65. [71]

    MNRAS , volume =

    Derkenne, Caro and McDermid, Richard M and D’Eugenio, Francesco and Foster, Caroline and Khalid, Aman and Harborne, Katherine E and van de Sande, Jesse and Croom, Scott M and Lagos, Claudia D P and Bellstedt, Sabine and Mendel, J Trevor and Mun, Marcie and Wisnioski, Emily and Bagge, Ryan S and Battisti, Andrew J and Bland-Hawthorn, Joss and Ferré-Mateu, ...

    2024

  66. [72]

    Fassnacht and Tommaso Treu , title=

    Pritom Mozumdar and Michele Cappellari and Christopher D. Fassnacht and Tommaso Treu , title=. 2025 , eprint=

    2025

  67. [73]

    2025 , eprint=

    MAGNUS II: Rotational support of massive early-type galaxies decreased over the past 7 billion years , author=. 2025 , eprint=

    2025

  68. [74]

    , year = 1967, month = jan, volume =

    Statistical mechanics of violent relaxation in stellar systems. , year = 1967, month = jan, volume =. doi:10.1093/mnras/136.1.101 , adsurl =

    doi:10.1093/mnras/136.1.101 1967

  69. [75]

    , keywords =

    Violent relaxation and the R exp 1/4 law. , keywords =. doi:10.1093/mnras/253.4.703 , adsurl =

    work page doi:10.1093/mnras/253.4.703

  70. [76]

    A relation between the characteristic stellar ages of galaxies and their intrinsic shapes. Nat. Astron. , keywords =. doi:10.1038/s41550-018-0436-x , archivePrefix =. 1804.07769 , primaryClass =

    Pith/arXiv arXiv

  71. [77]

    , keywords =

    SDSS-IV DR17: final release of MaNGA PyMorph photometric and deep-learning morphological catalogues. , keywords =. doi:10.1093/mnras/stab3089 , archivePrefix =. 2110.10694 , primaryClass =

    Pith/arXiv arXiv

  72. [78]

    Quality-assessed stellar dynamical modelling from integral-field spectroscopy of 10K nearby galaxies: a catalogue of masses, mass-to-light ratios, density profiles, and dark matter

    MaNGA DynPop - I. Quality-assessed stellar dynamical modelling from integral-field spectroscopy of 10K nearby galaxies: a catalogue of masses, mass-to-light ratios, density profiles, and dark matter. , keywords =. doi:10.1093/mnras/stad1299 , archivePrefix =. 2304.11711 , primaryClass =

    Pith/arXiv arXiv

  73. [79]

    MNRAS , volume =

    Neumann, Justus and Thomas, Daniel and Maraston, Claudia and Hill, Lewis and Nanni, Lorenza and Wenman, Oliver and Lian, Jianhui and Comparat, Johan and Gonzalez-Perez, Violeta and Westfall, Kyle B and Yan, Renbin and Chen, Yanping and Stringfellow, Guy S and Bershady, Matthew A and Brownstein, Joel R and Drory, Niv and Schneider, Donald P , title =. MNRA...

    doi:10.1093/mnras/stac1260 2022

  74. [80]

    Mass-size and mass- distributions of early-type galaxies: bulge fraction drives kinematics, mass-to-light ratio, molecular gas fraction and stellar initial mass function

    The ATLAS ^ 3D project - XX. Mass-size and mass- distributions of early-type galaxies: bulge fraction drives kinematics, mass-to-light ratio, molecular gas fraction and stellar initial mass function. MNRAS , eprint =

  75. [81]

    and Adelman, J

    York, Donald G. and Adelman, J. and Anderson, Jr., John E. and Anderson, Scott F. and Annis, James and Bahcall, Neta A. and Bakken, J. A. and Barkhouser, Robert and Bastian, Steven and Berman, Eileen and Boroski, William N. and Bracker, Steve and Briegel, Charlie and Briggs, John W. and Brinkmann, J. and Brunner, Robert and Burles, Scott and Carey, Larry ...

    2000

  76. [82]

    , keywords =

    The third data release of the Kilo-Degree Survey and associated data products. , keywords =. doi:10.1051/0004-6361/201730747 , archivePrefix =. 1703.02991 , primaryClass =

    Pith/arXiv arXiv

  77. [83]

    The formalism

    The multi-gaussian expansion method: a tool for building realistic photometric and kinematical models of stellar systems I. The formalism. , keywords =

  78. [84]

    Kowalski , abstract =

    Paul Geladi and Bruce R. Kowalski , abstract =. Partial least-squares regression: a tutorial , journal =. 1986 , issn =. doi:https://doi.org/10.1016/0003-2670(86)80028-9 , url =

    doi:10.1016/0003-2670(86)80028-9 1986

  79. [85]

    A. J. Lawrance , title =. The American Statistician , volume =. 1976 , publisher =. doi:10.1080/00031305.1976.10479163 , URL =

    Pith/arXiv arXiv 1976

  80. [86]

    Machine Learning , volume =

    Breiman, Leo , title =. Machine Learning , volume =. 2001 , doi =

    2001

Showing first 80 references.