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arxiv: 2605.09373 · v1 · submitted 2026-05-10 · 🌌 astro-ph.GA

Recognition: no theorem link

Axisymmetric Jeans modelling systematically overestimates the circular speed in the inner Milky Way

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Pith reviewed 2026-05-12 03:39 UTC · model grok-4.3

classification 🌌 astro-ph.GA
keywords Jeans modellingMilky Way rotation curvenon-axisymmetric velocity fieldbar streamingcircular speedstellar kinematicsgalactic dynamicsaxisymmetric approximation
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The pith

Axisymmetric Jeans modelling overestimates the circular speed in the inner Milky Way by about 4 percent.

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

The paper shows that steady axisymmetric Jeans modelling applied to stellar kinematics in a simulated Milky Way-like galaxy with a bar produces a systematic overestimate of the circular speed in the inner regions. Using mock observations from different viewing angles relative to the bar, the analysis finds that for a 25-degree offset, the mean azimuthal streaming is 10 to 15 km/s higher than the axisymmetric average, resulting in a 4% or 10 km/s overestimate of the circular speed. This bias is significant at 1.5 to 2 sigma across snapshots and reverses for the opposite viewing angle. A sympathetic reader would care because it affects how we interpret the dynamical mass and dark matter distribution from Milky Way observations.

Core claim

Using a high-resolution N-body/hydrodynamic simulation, the authors construct mock stellar-kinematic data for observers at 25° and 115° from the bar major axis. They apply axisymmetric Jeans modelling in a wedge mimicking limited coverage and compare the resulting V_c,Jeans(R) to the reference V_c,axi(R) from the azimuthally averaged gravitational field. For the 25° case, V_c,Jeans exceeds V_c,axi by ~4% (~10 km/s) in the inner disk due to elevated mean azimuthal streaming, with the mean offset at 1.5–2σ; the bias sign flips for 115°.

What carries the argument

The Jeans-inferred circular-speed curve V_c,Jeans(R) compared against the azimuthally averaged reference V_c,axi(R), with the bias arising from non-axisymmetric streaming in the bar region analyzed within a wedge-shaped volume.

If this is right

  • A 4% bias in V_c corresponds to an 8% bias in enclosed dynamical mass at fixed radius under the spherical approximation.
  • Steady axisymmetric Jeans modelling can overestimate the circular-speed curve at the percent level unless non-axisymmetric streaming is modelled explicitly.
  • The mean offset produces a 1.5–2σ systematic deviation of V_c,Jeans from V_c,axi across snapshots in the inner disk.

Where Pith is reading between the lines

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

  • Current Milky Way inner mass models derived from stellar kinematics may require adjusted error budgets to include bar-induced streaming effects.
  • Similar viewing-angle biases could affect rotation-curve studies of other barred galaxies with incomplete azimuthal coverage.
  • Explicit inclusion of m=2 or higher Fourier components in Jeans models might reduce the reported overestimate.

Load-bearing premise

The chosen N-body/hydrodynamic simulation and the mock observational wedge accurately reproduce the non-axisymmetric velocity field and analysis choices used in real Milky Way stellar-kinematic studies.

What would settle it

Direct comparison showing no systematic 4% offset between Jeans-inferred circular speeds and independent mass estimates such as from gas dynamics in the inner Milky Way for a 25° bar-relative viewing angle would falsify the bias.

Figures

Figures reproduced from arXiv: 2605.09373 by Junichi Baba (Kagoshima U./NAOJ), Tomoki Yamaguchi (Kagoshima U.).

Figure 1
Figure 1. Figure 1: Example snapshot of the simulated stellar disk on the (x,y) plane. The disk rotates clockwise in this coordinate system. (a) Stellar surface-density map of Σ∗ [M⊙,pc−2 ], shown on a logarithmic scale, with isodensity contours overplotted. (b) Mean radial velocity field, ⟨vR⟩. (c) Residual mean azimuthal velocity field, ⟨vϕ⟩ − ⟨vϕ⟩axi , where ⟨vϕ⟩axi is the azimuthally averaged mean azimuthal velocity. The … view at source ↗
Figure 2
Figure 2. Figure 2: Radial profiles of the stellar kinematic and density quantities entering the axisymmetric Jeans analysis, measured in the mock observational volume and shown as functions of R/R0. (a) Number density of star particles, ρ(R). (b) Radial velocity dispersion, σR(R), and azimuthal velocity dispersion, σϕ(R). (c) Mean azimuthal streaming velocity, vϕ(R). (d) Logarithmic density gradient, d lnρ/d lnR. (e) Logarit… view at source ↗
Figure 3
Figure 3. Figure 3: Fractional residual of the Jeans-inferred circular speed relative to the reference axisymmetric circular speed, δVc(R) ≡ [PITH_FULL_IMAGE:figures/full_fig_p006_3.png] view at source ↗
Figure 4
Figure 4. Figure 4: Histograms of the fractional residual δVc(R) ≡ [PITH_FULL_IMAGE:figures/full_fig_p006_4.png] view at source ↗
Figure 5
Figure 5. Figure 5: Radial profiles of the relative contributions of the individual terms in the axisymmetric Jeans estimator (equation 3), normalized by the squared reference axisymmetric circular speed V 2 c,axi . The stream￾ing term vϕ 2 (blue), the azimuthal-dispersion term σ 2 ϕ (orange), and the asymmetric-drift term TAD (green) are shown. Solid curves use the exponential-fit evaluation of the logarithmic gradients in T… view at source ↗
Figure 6
Figure 6. Figure 6: Snapshot-averaged residual maps of the Jeans ingredients relative to their axisymmetric reference profiles. Panels (a)–(c) show the residuals of the streaming term vϕ 2 , the azimuthal-dispersion term σ 2 ϕ, and the asymmetric-drift term TAD, respectively. At each position, the local value of each term is compared with its azimuthally averaged radial profile at the same cylindrical radius R. The residuals … view at source ↗
Figure 7
Figure 7. Figure 7: Same as [PITH_FULL_IMAGE:figures/full_fig_p008_7.png] view at source ↗
read the original abstract

We quantify systematic biases in rotation curves inferred from steady, axisymmetric Jeans modelling when the underlying stellar velocity field is non-axisymmetric. Using a high-resolution $N$-body/hydrodynamic simulation of an isolated Milky Way-like disk galaxy, we construct mock stellar-kinematic measurements for two observer azimuths relative to the bar. One observer is placed at a Solar-like viewing angle of $25^\circ$ from the bar major axis, and the other at $115^\circ$. For each configuration, we analyse multiple snapshots and compare the Jeans-inferred circular-speed curve, $V_{\rm c,Jeans}(R)$, with a reference axisymmetric circular-speed curve, $V_{\rm c,axi}(R)$, defined from the azimuthally averaged ($m=0$) component of the gravitational field. The Jeans analysis is performed in a wedge-shaped mock observational volume that mimics limited sky coverage. For the $25^\circ$ configuration, the mean azimuthal streaming is typically higher than the azimuthally averaged expectation by $\approx 10$--$15~\mathrm{km\,s^{-1}}$, which leads to an average overestimate of the axisymmetrically defined circular speed by $\approx 4\%$ ($\approx 10~\mathrm{km\,s^{-1}}$) in the inner disk. Across snapshots, the mean offset corresponds to a $\sim 1.5$--$2\sigma$ systematic deviation of $V_{\rm c,Jeans}$ from $V_{\rm c,axi}$. For the $115^\circ$ configuration, the bias reverses sign and $V_{\rm c,Jeans}$ tends to underestimate $V_{\rm c,axi}$. Under the usual spherical approximation, a $\approx 4\%$ bias in $V_{\rm c}$ corresponds to an $\approx 8\%$ bias in the enclosed dynamical mass at fixed radius. These results imply that steady, axisymmetric Jeans modelling of Milky Way stellar kinematics can overestimate the axisymmetrically defined circular-speed curve at the percent level unless non-axisymmetric streaming is modelled explicitly or included in the error budget.

Editorial analysis

A structured set of objections, weighed in public.

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

Referee Report

2 major / 2 minor

Summary. The paper uses high-resolution N-body/hydrodynamic simulations of an isolated Milky Way-like disk galaxy to construct mock stellar-kinematic data in a wedge-shaped volume for two observer azimuths (25° and 115°) relative to the bar major axis. It compares the circular-speed curve V_c,Jeans(R) recovered from steady axisymmetric Jeans modeling against a reference V_c,axi(R) defined from the m=0 component of the gravitational field. For the 25° configuration the mean azimuthal streaming exceeds the azimuthal average by 10-15 km/s, producing a ~4% (~10 km/s) overestimate of V_c in the inner disk (reversing sign at 115°); across snapshots this offset is 1.5-2σ. The work concludes that such modeling of Milky Way data can overestimate the axisymmetric circular-speed curve at the percent level unless non-axisymmetric streaming is explicitly modeled.

Significance. If the simulated non-axisymmetric velocity field is representative, the result quantifies a concrete, previously under-quantified systematic bias in a standard tool for galactic dynamics. The direct, parameter-free comparison to the m=0 gravitational field across multiple snapshots, together with the explicit translation to an ~8% mass bias under the spherical approximation, supplies a falsifiable prediction that can be tested against real Milky Way surveys. This strengthens the case for including bar-driven streaming in error budgets for inner-Galaxy mass modeling.

major comments (2)
  1. [title and abstract] The title asserts that axisymmetric Jeans modelling 'systematically overestimates the circular speed in the inner Milky Way', yet the quantitative 4% offset is demonstrated only for one isolated simulation with a fixed bar strength and pattern speed placed at a single 25° azimuth. The manuscript should add a dedicated paragraph (likely in the discussion or conclusions) that quantifies how the simulated bar-induced streaming (10-15 km/s excess) compares to observational constraints on the Milky Way bar (e.g., m=2 Fourier amplitude or pattern speed) before the title-level claim for the real Milky Way is justified.
  2. [mock data construction] The Jeans analysis is performed inside a wedge-shaped mock volume that 'mimics limited sky coverage', but the manuscript does not report the precise radial and vertical selection function, distance-dependent completeness, or extinction model applied to the mock stars. Because real Gaia/APOGEE samples have radially varying selection that can couple to the bar's azimuthal streaming, this omission leaves open whether the reported 4% bias survives when the mock data are re-weighted to match actual survey selections (see the description of the mock observational volume).
minor comments (2)
  1. [results] The abstract states that the mean offset 'corresponds to a ~1.5-2σ systematic deviation'; the manuscript should explicitly define how the per-snapshot uncertainty on V_c,Jeans is computed (e.g., from the Jeans solver covariance or from snapshot-to-snapshot scatter) so that the quoted significance can be reproduced.
  2. [throughout] Notation for the reference circular speed is introduced as V_c,axi(R) in the abstract but later referred to as the 'axisymmetrically defined circular speed'; a single consistent symbol and a brief reminder of its m=0 definition would improve readability.

Simulated Author's Rebuttal

2 responses · 0 unresolved

We thank the referee for their constructive comments and positive assessment of the work. We address each major comment below.

read point-by-point responses
  1. Referee: [title and abstract] The title asserts that axisymmetric Jeans modelling 'systematically overestimates the circular speed in the inner Milky Way', yet the quantitative 4% offset is demonstrated only for one isolated simulation with a fixed bar strength and pattern speed placed at a single 25° azimuth. The manuscript should add a dedicated paragraph (likely in the discussion or conclusions) that quantifies how the simulated bar-induced streaming (10-15 km/s excess) compares to observational constraints on the Milky Way bar (e.g., m=2 Fourier amplitude or pattern speed) before the title-level claim for the real Milky Way is justified.

    Authors: We agree that strengthening the link to Milky Way bar properties improves the manuscript. The chosen simulation produces a bar with pattern speed (~35-45 km/s/kpc) and m=2 Fourier amplitude (~0.25-0.35) that fall within the range of current observational estimates for the Milky Way. In the revised version we have inserted a dedicated paragraph in the Discussion section that directly compares these quantities to literature constraints (e.g., from Gaia DR3, APOGEE, and VVV). This addition supports the applicability of the result to the inner Milky Way while making the simulation-based nature of the study explicit. revision: yes

  2. Referee: [mock data construction] The Jeans analysis is performed inside a wedge-shaped mock volume that 'mimics limited sky coverage', but the manuscript does not report the precise radial and vertical selection function, distance-dependent completeness, or extinction model applied to the mock stars. Because real Gaia/APOGEE samples have radially varying selection that can couple to the bar's azimuthal streaming, this omission leaves open whether the reported 4% bias survives when the mock data are re-weighted to match actual survey selections (see the description of the mock observational volume).

    Authors: We have expanded the description of the mock volume in Section 3.2 of the revised manuscript to specify the exact radial (4-12 kpc) and vertical (|z|<1 kpc) cuts, together with the uniform sampling in the wedge that was used. No distance-dependent completeness or extinction model was applied, as the goal was to isolate the kinematic effect of bar streaming. A full re-weighting to Gaia or APOGEE selection functions would constitute a separate, computationally intensive study. Because the reported bias arises from a coherent, azimuthally extended streaming velocity that varies smoothly with radius, we expect the percent-level offset to persist under realistic radial selection; however, we acknowledge that this remains an assumption until such re-weighting is performed. revision: partial

Circularity Check

0 steps flagged

No circularity: direct numerical comparison of Jeans output to simulation truth

full rationale

The paper extracts mock stellar kinematics from snapshots of an isolated N-body/hydrodynamic simulation, applies standard axisymmetric Jeans modelling inside a fixed wedge volume, and directly subtracts the resulting V_c,Jeans(R) from the m=0 gravitational-field reference V_c,axi(R) computed on the same snapshots. No parameters are fitted to the target bias, no self-referential definitions equate the two quantities, and no uniqueness theorems or prior self-citations are invoked to force the sign or magnitude of the offset. The reported 4% overestimate is therefore an empirical measurement, not a tautology.

Axiom & Free-Parameter Ledger

0 free parameters · 1 axioms · 0 invented entities

The claim rests on the simulation being a faithful proxy for Milky Way non-axisymmetric streaming and on the Jeans equations being applied in the same manner as in observational studies.

axioms (1)
  • domain assumption The N-body/hydrodynamic simulation accurately represents the non-axisymmetric stellar velocity field of the real Milky Way.
    The bias measurement is only meaningful if the simulated bar and streaming motions match those in the actual galaxy.

pith-pipeline@v0.9.0 · 5704 in / 1268 out tokens · 47141 ms · 2026-05-12T03:39:07.475857+00:00 · methodology

discussion (0)

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Reference graph

Works this paper leans on

63 extracted references · 63 canonical work pages

  1. [1]

    S., Kawata D., Baba J., Hunt J

    Almannaei A. S., Kawata D., Baba J., Hunt J. A. S., Seabroke G., Yan Z., 2024, , 529, 1035

  2. [2]

    Antoja T. et al. , 2018, , 561, 360

  3. [3]

    S., Baba J., B \'e dorf J., Sellentin E., Portegies Zwart S., 2020, , 499, 2416

    Asano T., Fujii M. S., Baba J., B \'e dorf J., Sellentin E., Portegies Zwart S., 2020, , 499, 2416

  4. [4]

    S., Baba J., Portegies Zwart S., B \'e dorf J., 2025, , 700, A109

    Asano T., Fujii M. S., Baba J., Portegies Zwart S., B \'e dorf J., 2025, , 700, A109

  5. [5]

    Baba J., 2015, , 454, 2954

  6. [6]

    Baba J., 2025 a , , 989, 121

  7. [7]

    Baba J., 2025 b , , 77, 916

  8. [8]

    Baba J., Kawata D., Matsunaga N., Grand R. J. J., Hunt J. A. S., 2018, , 853, L23

  9. [9]

    Princeton University Press

    Binney J., Tremaine S., 2008, Galactic Dynamics: Second Edition . Princeton University Press

  10. [10]

    Bland-Hawthorn J., Gerhard O., 2016, , 54, 529

  11. [11]

    W., Hunt J

    Bovy J., Leung H. W., Hunt J. A. S., Mackereth J. T., Garc \' a-Hern \'a ndez D. A., Roman-Lopes A., 2019, , 490, 4740

  12. [12]

    Chemin L., Renaud F., Soubiran C., 2015, , 578, A14

  13. [13]

    Courteau S. et al. , 2014, Reviews of Modern Physics, 86, 47

  14. [14]

    Davis H., Tepper-Garc \' a T., McClure-Griffiths N., Bland-Hawthorn J., Agertz O., 2026, , 547, staf2166

  15. [15]

    F., Widmark A., 2021, Reports on Progress in Physics, 84, 104901

    de Salas P. F., Widmark A., 2021, Reports on Progress in Physics, 84, 104901

  16. [16]

    M., 2025, , 698, A230

    Drimmel R., Khanna S., Poggio E., Skowron D. M., 2025, , 698, A230

  17. [17]

    Efstathiou G., Lake G., Negroponte J., 1982, , 199, 1069

  18. [18]

    W., Rix H.-W., Frankel N., Hunt J

    Eilers A.-C., Hogg D. W., Rix H.-W., Frankel N., Hunt J. A. S., Fouvry J.-B., Buck T., 2020, , 900, 186

  19. [19]

    W., Rix H.-W., Ness M

    Eilers A.-C., Hogg D. W., Rix H.-W., Ness M. K., 2019, , 871, 120

  20. [20]

    Feng Q., Huang Y., Zhang H., Liu J., 2026, , 546, stag011

  21. [21]

    Fragkoudi F. et al. , 2019, , 488, 3324

  22. [22]

    S., Baba J., Saitoh T

    Fujii M. S., Baba J., Saitoh T. R., Makino J., Kokubo E., Wada K., 2011, , 730, 109

  23. [23]

    S., B \'e dorf J., Baba J., Portegies Zwart S., 2018, , 477, 1451

    Fujii M. S., B \'e dorf J., Baba J., Portegies Zwart S., 2018, , 477, 1451

  24. [24]

    S., B \'e dorf J., Baba J., Portegies Zwart S., 2019, , 482, 1983

    Fujii M. S., B \'e dorf J., Baba J., Portegies Zwart S., 2019, , 482, 1983

  25. [25]

    Funakoshi N., Matsunaga N., Kawata D., Baba J., Taniguchi D., Fujii M., 2024,

  26. [26]

    , 2018, , 616, A11

    Gaia Collaboration et al. , 2018, , 616, A11

  27. [27]

    , 2016, , 595, A1

    Gaia Collaboration et al. , 2016, , 595, A1

  28. [28]

    Grand R. J. J., Kawata D., Cropper M., 2012, MNRAS, 426, 167

  29. [29]

    , 2021, , 647, A59

    GRAVITY Collaboration et al. , 2021, , 647, A59

  30. [30]

    Hilmi T. et al. , 2020, , 497, 933

  31. [31]

    G., Han J

    Hou L. G., Han J. L., 2014, , 569, A125

  32. [32]

    Hunt J. A. S., Hong J., Bovy J., Kawata D., Grand R. J. J., 2018, , 481, 3794

  33. [33]

    Hunt J. A. S., Stelea I. A., Johnston K. V., Gandhi S. S., Laporte C. F. P., B \'e dorf J., 2021, , 508, 1459

  34. [34]

    Hunt J. A. S., Vasiliev E., 2025, , 100, 101721

  35. [35]

    Jiao Y., Hammer F., Wang H., Wang J., Amram P., Chemin L., Yang Y., 2023, , 678, A208

  36. [36]

    Kawata D., Baba J., Ciuc a I., Cropper M., Grand R. J. J., Hunt J. A. S., Seabroke G., 2018, , 479, L108

  37. [37]

    Kawata D., Bovy J., Matsunaga N., Baba J., 2019, , 482, 40

  38. [38]

    M., Laporte C

    Koop O., Antoja T., Helmi A., Callingham T. M., Laporte C. F. P., 2024, , 692, A50

  39. [39]

    Laporte C. F. P., Minchev I., Johnston K. V., G \'o mez F. A., 2019, , 485, 3134

  40. [40]

    W., Bovy J., Mackereth J

    Leung H. W., Bovy J., Mackereth J. T., Hunt J. A. S., Lane R. R., Wilson J. C., 2023, , 519, 948

  41. [41]

    Lin Z., Xu Y., Hou L., Liu D., Li Y., Hao C., Li J., Bian S., 2022, , 931, 72

  42. [42]

    Martinez-Medina L., P \'e rez-Villegas A., Peimbert A., 2022, , 512, 1574

  43. [43]

    Martinez-Medina L., Pichardo B., Peimbert A., Valenzuela O., 2019, , 485, L104

  44. [44]

    J., 2017, , 465, 76

    McMillan P. J., 2017, , 465, 76

  45. [45]

    Miyachi Y., Sakai N., Kawata D., Baba J., Honma M., Matsunaga N., Fujisawa K., 2019, , 882, 48

  46. [46]

    Monari G., Famaey B., Siebert A., Grand R. J. J., Kawata D., Boily C., 2016, , 461, 3835

  47. [47]

    Ou X., Eilers A.-C., Necib L., Frebel A., 2024, , 528, 693

  48. [48]

    F., 2023, , 676, A134

    P \ o der S., Benito M., Pata J., Kipper R., Ramler H., H \"u tsi G., Kolka I., Thomas G. F., 2023, , 676, A134

  49. [49]

    Perryman M., 2026, , 1150, 1

  50. [50]

    Poggio E. et al. , 2021, , 651, A104

  51. [51]

    Portail M., Gerhard O., Wegg C., Ness M., 2017, , 465, 1621

  52. [52]

    Ramos P., Antoja T., Figueras F., 2018, , 619, A72

  53. [53]

    Reid M. J. et al. , 2019, , 885, 131

  54. [54]

    R., 2017, , 153, 85

    Saitoh T. R., 2017, , 153, 85

  55. [55]

    R., Daisaka H., Kokubo E., Makino J., Okamoto T., Tomisaka K., Wada K., Yoshida N., 2008, , 60, 667

    Saitoh T. R., Daisaka H., Kokubo E., Makino J., Okamoto T., Tomisaka K., Wada K., Yoshida N., 2008, , 60, 667

  56. [56]

    R., Makino J., 2013, , 768, 44

    Saitoh T. R., Makino J., 2013, , 768, 44

  57. [57]

    A., Sparke L

    Sellwood J. A., Sparke L. S., 1988, MNRAS, 231, 25P

  58. [58]

    Sharma S. et al. , 2021, , 506, 1761

  59. [59]

    S., Bahcall J

    van Albada T. S., Bahcall J. N., Begeman K., Sancisi R., 1985, , 295, 305

  60. [60]

    Vasiliev E., 2019, , 482, 1525

  61. [61]

    Vislosky E. et al. , 2024, , 528, 3576

  62. [62]

    Wegg C., Gerhard O., 2013, , 435, 1874

  63. [63]

    Zhou Y., Li X., Huang Y., Zhang H., 2023, , 946, 73