REVIEW 4 major objections 4 minor 2 cited by
exoALMA. XVIII. Interpreting large scale kinematic structures as moderate warping
T0 review · 4 major / 4 minor · reviewed 2026-08-06 · deepseek-v4-flash
Pith's one-line read Mild two-degree warps explain large-scale velocity spirals in disks.
desk verdict A useful warp-fitting framework for the exoALMA residuals, but the accretion-rate correlation is not yet established given the known geometric degeneracy and small sample. 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 central object is the linearized projection identity δv_los(R, φ) = A(R) cos φ + B(R) sin φ, obtained by expanding the Keplerian azimuthal velocity under small perturbations to inclination and position angle. It converts two azimuthal Fourier coefficients of the observed residual map, A(R) and B(R), directly into radial tilt and twist profiles via δi = A/(v_phi cos i0) and δPA = B/(v_phi sin i0). A Gaussian-process fit to these profiles supplies smooth radial functions, their derivatives (the warp amplitude ψ = R $\sqrt$((∂i/∂R)^2 + $sin^{2}$ i (∂PA/∂R)^2)), and uncertainties; the same machinery feeds a radiative transfer model to predict scattered-light and brightness-temperature structure. This projection identity is the conceptual bridge that turns a purely geometric warp geometry into concrete, testable kinematic predictions.
What would settle it
A direct geometric test would resolve the disk surface in a strongly m=1 target and measure whether the apparent major-axis orientation twists with radius as the inferred δPA(R) profile requires; if instead the residual velocities are accompanied by resolved radial flows of comparable amplitude, the warp interpretation is falsified.
Extended reading notes
Core claim
The central claim is that a warped disk geometry—small, smooth radial variations in inclination δi(R) and position angle δPA(R)—naturally generates the m=1 line-of-sight velocity residuals that appear across the exoALMA sample. In the linearized model, the residual velocity on each annulus is δv_los = v_phi(R)[δi(R) cos i0 cos φ + δPA(R) sin i0 sin φ], so any coherent m=1 pattern can be mapped onto a radial tilt and twist profile. Applying this to the 12CO and 13CO residual maps yields tilt amplitudes β_max ~ 0.5–2 degrees for most moderately inclined disks, with larger and less reliable values for edge-on disks where the backside of the disk is visible. For MWC 758, the inferred warp also produces spiral arms in scattered light and ~10 K brightness-temperature fluctuations in radiative transfer calculations. The authors do not claim uniqueness: axisymmetric radial-flow or pressure-gradient models produce identical m=1 line-of-sight signatures, so the derived warp amplitudes should be read as maximal unless additional tracers break the degeneracy.
Load-bearing premise
The model interprets every large-scale line-of-sight velocity deviation as the projection of purely azimuthal Keplerian motion in a warped geometry, assuming radial flows, vertical bulk motions, pressure gradients, and winds contribute negligibly; if real disks have comparable radial motions, the inferred warp amplitudes and the accretion-rate correlation are biased.
Editorial extensions
If this is right
- If the warp interpretation is right, many previously identified 'kinematic spirals' in protoplanetary disks are line-of-sight projection effects, not density waves or embedded planets.
- Disk warps would be common (present in most exoALMA targets at some level), contradicting the default assumption that disks are planar.
- A positive correlation between warp amplitude and stellar accretion rate implies that outer-disk geometry and inner-disk accretion are coupled, possibly through warp-driven angular momentum transport or shared infall history.
- Warp-induced vertical motions ('sloshing') at the CO surface may heat or shock the gas, offering a mechanism for the SO emission seen in MWC 758 and CQ Tau.
- Warp amplitudes inferred from 12CO and 13CO agree, so finite emission height does not strongly bias the derived tilt profiles for low-inclination disks.
Reading between the lines
- Inference: If the accretion-rate correlation survives a larger sample, it would strengthen the case that late infall or companion-driven warp excitation, rather than internal instabilities, sets both outer-disk geometry and inner-disk fueling.
- Inference: The same projection argument implies that any m=1 residual map can be fit by some warp; the model's predictive power will come from cross-checks that a single radial twist profile simultaneously explains kinematics, scattered-light shadows, and brightness-temperature patterns.
- Inference: A testable extension would be to apply the method to disks observed at multiple inclinations or with higher angular resolution, where the predicted warp-induced curvature of the emission surface could be detected directly via surface-brightness asymmetries.
- Inference: If warps are as common as claimed, then disk mass and turbulence measurements that assume axisymmetric planar geometry may be systematically biased, potentially affecting estimates of angular momentum transport.
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. The paper proposes that the large-scale m=1 line-of-sight velocity residuals seen in exoALMA protoplanetary disks can be interpreted as the projection of Keplerian rotation in a moderately warped disk. The authors derive a linearized tilted-ring model in which annulus-averaged cosφ and sinφ velocity amplitudes are converted into radial inclination and position-angle perturbations δi(R) and δPA(R), and from these into physical tilt, twist, and warp-amplitude profiles. They apply the model to the exoALMA sample, present a detailed MWC 758 case study with RADMC-3D scattered-light and brightness-temperature comparisons, and search for correlations between the inferred warp metrics and disk/star properties. The paper is transparent that the interpretation is not unique and that the fitted profiles absorb axisymmetric radial/azimuthal flow contributions; nevertheless, these warp metrics are subsequently used in population-level correlations with accretion rate.
Significance. If the central interpretation is correct, the paper would reframe many large-scale kinematic spirals as geometric projection effects rather than dynamical perturbations, with implications for how disk turbulence, winds, and angular momentum transport are inferred from CO kinematics. The manuscript has genuine strengths: the linearized model is simple and clearly derived, the fits are applied consistently to a homogeneous survey sample, the 12CO/13CO and beam-size checks are useful robustness tests, and the authors publicly release fitting scripts and Gaussian-process posterior samples. However, the most novel quantitative result, the claimed correlation between warp amplitude and stellar accretion rate, is the least secure part of the paper because the fitted warp parameters are degenerate with axisymmetric flows, the sample has only eight objects, and no quantitative bound on flow contamination is provided. The warp interpretation is plausible, but the accretion-rate correlation is not established at the level claimed.
major comments (4)
- [Sec. 2.2, Eqs. (9)–(12)] The linearized model is a Fourier projection: A(R) and B(R) are the cosφ and sinφ amplitudes of the annulus residual, and in a flat disk an axisymmetric radial flow v_R contributes v_R sin i0 cosφ while an axisymmetric azimuthal perturbation δv_φ contributes δv_φ sin i0 sinφ. Both are therefore absorbed into δi and δPA by construction. The manuscript acknowledges this in Sec. 2.2 and Sec. 3.5 and labels the warp amplitude 'maximal', but Sec. 3.3 then treats βmax and ⟨logψ⟩ as physical warp amplitudes in the accretion-rate correlation (Figs. 7–8). The ambiguity is not hypothetical: MWC 758, the high-accretion/high-warp anchor of the correlation, has wind-like m=0 residuals after subtracting the warp (Sec. 3.2.3), and Sec. 3.2.2 lists HD 34282, LkCa15, PDS 66, SY Cha, and V4046 Sgr as cases where pressure-gradient residuals may inflate the warp amplitude. To make the correlation evidence for a warp–accretion link, the authors need a quantitative estimate of how much of the inferred δi(R) and δPA(R) can be generated by the expected radial-flow and pressure-support fields; an injection test that adds such flows to a flat disk and reruns the pipeline would provide this bound.
- [Sec. 3.3, Figs. 7–8] The population-level result rests on n=8 disks and on the influence of MWC 758, which is both the highest-accretion and a high-warp point. The three reported tests (Spearman, Kendall, permutation) are not independent because they use the same rank ordering, and four system properties are screened without any multiple-comparison correction. A leave-one-out analysis would show whether the reported p≈4×10−3 for ⟨logψ⟩ versus log(Ṁ/M*²) survives when MWC 758 is removed, and a bootstrap would give a confidence interval on the correlation coefficient. Without such tests, the abstract's statement that warp properties 'correlate with stellar accretion rates' overstates the robustness of the finding.
- [Sec. 3.4.2, Eq. (20)] The sloshing velocity estimate v_r,slosh ≈ (ψ/2α)Ωz gives values of several times the sound speed for α~10−3 and ψ~10−2, and the paper itself acknowledges that these motions 'will undoubtedly contribute' to the LOS velocity structure. Because sloshing produces coherent radial and azimuthal velocity components whose LOS projections have the same cosφ/sinφ form as the warp, the 12CO/13CO and beam-size checks in Sec. 3.2.5 do not separate sloshing from geometry. The statement that sloshing 'might act more like noise than a strong bias' is not demonstrated. This matters because the inferred βmax and ψ are precisely the quantities used in the accretion-rate correlations, so the sloshing contribution is a quantitative uncertainty in the paper's main new result, not merely a philosophical caveat.
- [Sec. 3.3, Eq. (16)] The averaged warp amplitude ⟨logψ⟩R is integrated over the fitted radial range ΔR, which differs substantially between disks (for example, R_out is 132 au for PDS 66 but 358 au for V4046 Sgr in Table 1). If ψ(R) has a radial trend, or if the outer fitted radii are limited by sensitivity rather than by disk structure, then ⟨logψ⟩ is not a homogeneous disk property and the correlation could be partly a function of radial coverage. The authors should test whether the accretion correlation survives when ⟨logψ⟩ is computed over a fixed physical annulus where all disks have data, or when R_out is included as a covariate.
minor comments (4)
- [Abstract and Table 1] The abstract describes 'moderate disk warps (~0.5–2°)' as the explanation, but Table 1 reports βmax values up to 10.2° (SY Cha) and 7.4° (HD 34282). The text later explains that high-inclination/backside-visible disks are excluded from the population analysis, but the abstract should state that the 0.5–2° range refers to the moderate-inclination subset used for correlations, not to the full sample.
- [Sec. 3.1.2 and Appendix B] The scattered-light and brightness-temperature demonstrations for MWC 758 rely on an arbitrary cubic-spline extrapolation of the warp profile into the inner disk, as stated in Appendix B and Sec. 3.1.2. This is acceptable as a proof of concept, but the abstract and Sec. 3.1.2 should use wording such as 'illustrate' or 'are consistent with' rather than 'demonstrate', given that the morphology is not quantitatively reproduced (e.g., the north spiral is not recovered).
- [Sec. 3.4.1, Eq. (17)] The warp oscillation period P_warp ≈ R/c_s is used only for order-of-magnitude estimates, but the actual bending-wave period differs by factors of order 2π; citing the precise linear-theory expression would avoid giving an impression of exactness.
- [Sec. 3.2.4 and Fig. 5] The color bar in Figure 5 shows the global inclination |i0| but the text says 'points being coloured by overall inclination of the system'; the caption should specify whether the sign convention used elsewhere in the paper is preserved in the color scale.
Circularity Check
The warp profiles are defined as the m=1 Fourier components of the observed residuals, so the kinematic 'explanation' is partly a reparameterization; independent scattered-light, brightness-temperature, and accretion checks keep the paper from being fully circular.
-
self definitional
[Section 2.2, Eqs. (9)-(12); Section 3.1.1]
"We can then derive the inclination and position angle perturbations from the coefficients A(R) and B(R) as: δi(R) = A(R)/(vφ(R) cos i0), δPA(R) = B(R)/(vφ(R) sin i0). ... In Section 3 we fit indiscriminately for warp structures, but the success of this fit can be understood as the degree to which a disc conforms to this criterion."
Equation 10 defines A(R) and B(R) as the cosφ and sinφ Fourier amplitudes of the observed residual δvlos. Equations 11-12 then define the fitted warp perturbations δi and δPA directly in terms of those amplitudes. Therefore the warp model's reproduction of the m=1 part of δvlos is an identity by construction: any residual field with m=1 symmetry is exactly re-encoded as a warp profile, so the 'fit success' only measures how much of the residual has m=1 symmetry, not whether warping is present. The paper acknowledges this by calling the result a 'maximal' tilt and stressing non-uniqueness in Section 3.5, which mitigates but does not remove the self-definitional character of the kinematic interpretation.
full rationale
The paper's central kinematic step is an explicit inversion: the warp parameters δi and δPA are defined as the cosine and sine components of the observed line-of-sight residual, so saying that a warp 'reproduces' an m=1 residual is a reparameterization rather than an independent test. This is a genuine self-definitional element, and it is the reason the kinematic 'explanation' cannot by itself confirm the warp hypothesis. However, the paper does not rest solely on that reproduction: it makes forward radiative-transfer comparisons of warped geometries to MWC 758's scattered light and CO brightness temperature, checks robustness against the 13CO isotopologue and different beam sizes, and correlates the derived amplitudes with externally measured accretion rates. Those accretion rates are not inputs to the warp fit, so the reported correlation is independent empirical content, although it inherits the radial-flow degeneracy as a systematic risk rather than a circularity. Self-citations to exoALMA companion papers and to Young et al. (2022) provide data, pipeline, and simulation context, but the warp-to-m=1 kinematic mapping is derived algebraically in Eqs. (9)-(12) and is not imported from those citations. Overall, the kinematic interpretation is partly definitional, but the independent observables give the paper substantive content; a moderate score is therefore appropriate.
Assumptions & free parameters
free parameters (4)
- Warp profiles delta_i(R), delta_PA(R) for each disk =
See Table 1 for derived beta_max values; full profiles in figures and Zenodo samples
- Inner extrapolation of delta_i, delta_PA for MWC 758 =
Two arbitrary interior points (Appendix B)
- GP hyperparameters (Matern nu=2.5, length scale init at 2 beam sizes) =
nu=2.5, length scale = 2 beams
- CO emission surface self-shielding column, dust-to-gas ratio, flaring exponent =
N_ss=1e15 cm^-2, dust/gas=1e-2, flaring exponent=1.03
assumptions (5)
- domain assumption Orbital motion is circular and Keplerian: v_phi = sqrt(GM*/R)
- domain assumption Small perturbations: delta_i, delta_PA << 1 rad, so linearization applies
- ad hoc to paper All LOS velocity perturbations are attributed to the azimuthal component; radial and vertical velocities are neglected
- domain assumption The reference angular momentum vector is the unperturbed disc orientation from Discminer
- domain assumption Radiative transfer assumes vertically isothermal, hydrostatic equilibrium disc with well-coupled 0.1 micron dust
Cite this review
Pith. "Pith review of exoALMA. XVIII. Interpreting large scale kinematic structures as moderate warping." pith.science (2026). https://pith.science/paper/PXQIBNB7
@misc{pith2026250711669,
author = {Pith},
title = {Pith review of: exoALMA. XVIII. Interpreting large scale kinematic structures as moderate warping},
year = {2026},
howpublished = {\url{https://pith.science/paper/PXQIBNB7}},
note = {Machine review of arXiv:2507.11669}
}
abstract
The exoALMA program gave an unprecedented view of the complex kinematics of protoplanetary disks, revealing diverse structures that remain poorly understood. We show that moderate disk warps ($\sim 0.5-2^\circ$) can naturally explain many of the observed large-scale velocity features with azimuthal wavenumber $m = 1$. Using a simple model, we interpret line-of-sight velocity variations as changes in the projected Keplerian rotation caused by warping of the disk. While not a unique explanation, this interpretation aligns with growing observational evidence that warps are common. We demonstrate that such warps can also produce spiral structures in scattered light and CO brightness temperature, with $\sim 10$ K variations in MWC 758. Within the exoALMA sample, warp properties correlate with stellar accretion rates, suggesting a link between the inner disc and outer disc kinematics. If warps cause large-scale kinematic structure, this has far reaching implications for turbulence, angular momentum transport, and planet formation.
Figures
Figures from the paper (4 more)
Forward citations
Cited by 2 Pith papers
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Angular Momentum of Planet-Forming Disks: Implications for Infall Driven Misalignments
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Reference graph
Works this paper leans on
-
[1]
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-
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-
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thebibliography [1] 20pt to REFERENCES 6pt =0pt -12pt 10pt plus 3pt =0pt =0pt =1pt plus 1pt =0pt =0pt -12pt =13pt plus 1pt =20pt =13pt plus 1pt \@M =10000 =-1.0em =0pt =0pt 0pt =0pt =1.0em @enumiv\@empty 10000 10000 `\.\@m \@noitemerr \@latex@warning Empty `thebibliography' environment \@ifnextchar \@reference \@latexerr Missing key on reference command E...
2021
-
[4]
Alencar , S. H. P., Bouvier , J., Donati , J. F., et al. 2018, , 620, A195, 10.1051/0004-6361/201834263
-
[5]
Almendros-Abad , V., Manara , C. F., Testi , L., et al. 2024, , 685, A118, 10.1051/0004-6361/202348649
-
[6]
2024, , 527, 4777, 10.1093/mnras/stad3494
Aly , H., Nealon , R., & Gonzalez , J.-F. 2024, , 527, 4777, 10.1093/mnras/stad3494
-
[7]
Ansdell , M., Gaidos , E., Williams , J. P., et al. 2016 a , , 462, L101, 10.1093/mnrasl/slw140
-
[8]
Ansdell , M., Gaidos , E., Rappaport , S. A., et al. 2016 b , , 816, 69, 10.3847/0004-637X/816/2/69
Show all 143 references
- [9]
-
[10]
P., Garufi , A., et al
Avenhaus , H., Quanz , S. P., Garufi , A., et al. 2018, , 863, 44, 10.3847/1538-4357/aab846
2018 doi
-
[11]
D., et al
Ballabio , G., Nealon , R., Alexander , R. D., et al. 2021, , 504, 888, 10.1093/mnras/stab922
2021 doi
-
[12]
2025, , 984, L21, 10.3847/2041-8213/adc42d
Barraza-Alfaro , M., Flock , M., B \'e thune , W., et al. 2025, , 984, L21, 10.3847/2041-8213/adc42d
2025 doi
-
[13]
R., Lodato , G., & Pringle , J
Bate , M. R., Lodato , G., & Pringle , J. E. 2010, , 401, 1505, 10.1111/j.1365-2966.2009.15773.x
2010
-
[14]
Begeman , K. G. 1989, , 223, 47
1989
-
[15]
2015, , 578, L6, 10.1051/0004-6361/201526011
Benisty , M., Juhasz , A., Boccaletti , A., et al. 2015, , 578, L6, 10.1051/0004-6361/201526011
2015 doi
-
[16]
2018, , 619, A171, 10.1051/0004-6361/201833913
Benisty , M., Juh \'a sz , A., Facchini , S., et al. 2018, , 619, A171, 10.1051/0004-6361/201833913
2018 doi
-
[17]
2023, in Astronomical Society of the Pacific Conference Series, Vol
Benisty , M., Dominik , C., Follette , K., et al. 2023, in Astronomical Society of the Pacific Conference Series, Vol. 534, Protostars and Planets VII, ed. S. Inutsuka , Y. Aikawa , T. Muto , K. Tomida , & M. Tamura , 605, 10.48550/arXiv.2203.09991
-
[18]
J., Benisty , M., Perraut , K., et al
Bohn , A. J., Benisty , M., Perraut , K., et al. 2022, , 658, A183, 10.1051/0004-6361/202142070
2022 doi
-
[19]
E., Bouy , H., & Barrado , D
Bouvier , J., Grankin , K., Ellerbroek , L. E., Bouy , H., & Barrado , D. 2013, , 557, A77, 10.1051/0004-6361/201321389
2013 doi
-
[20]
1999, , 349, 619
Bouvier , J., Chelli , A., Allain , S., et al. 1999, , 349, 619
1999
-
[21]
2022, ConeRot: Velocity perturbations extractor , Astrophysics Source Code Library, record ascl:2207.027
Casassus , S. 2022, ConeRot: Velocity perturbations extractor , Astrophysics Source Code Library, record ascl:2207.027
2022
-
[22]
2019, , 883, L41, 10.3847/2041-8213/ab4425
Casassus , S., & P \'e rez , S. 2019, , 883, L41, 10.3847/2041-8213/ab4425
2019 doi
-
[23]
2015, , 811, 92, 10.1088/0004-637X/811/2/92
Casassus , S., Marino , S., P \'e rez , S., et al. 2015, , 811, 92, 10.1088/0004-637X/811/2/92
2015 doi
-
[24]
2018, , 477, 5104, 10.1093/mnras/sty894
Casassus , S., Avenhaus , H., P \'e rez , S., et al. 2018, , 477, 5104, 10.1093/mnras/sty894
2018 doi
-
[25]
D., et al
Codron , I., Kraus , S., Monnier , J. D., et al. 2025, arXiv e-prints, arXiv:2506.19668. 2506.19668
2025 arXiv
-
[26]
M., Stauffer , J., Baglin , A., et al
Cody , A. M., Stauffer , J., Baglin , A., et al. 2014, , 147, 82, 10.1088/0004-6256/147/4/82
2014 doi
-
[27]
W., Grady , C
Cox , A. W., Grady , C. A., Hammel , H. B., et al. 2013, , 762, 40, 10.1088/0004-637X/762/1/40
2013 doi
-
[28]
Cuello , N., M \'e nard , F., & Price , D. J. 2023, European Physical Journal Plus, 138, 11, 10.1140/epjp/s13360-022-03602-w
2023 doi
-
[29]
M., et al
Curone , P., Facchini , S., Andrews , S. M., et al. 2025, , 984, L9, 10.3847/2041-8213/adc438
2025 doi
-
[30]
2019, , 877, L3, 10.3847/2041-8213/ab1b42
Currie , T., Marois , C., Cieza , L., et al. 2019, , 877, L3, 10.3847/2041-8213/ab1b42
2019 doi
-
[31]
2016, , 595, A114, 10.1051/0004-6361/201629267
de Boer , J., Salter , G., Benisty , M., et al. 2016, , 595, A114, 10.1051/0004-6361/201629267
2016 doi
-
[32]
2023, , 948, 36, 10.3847/1538-4357/acbdf1
Debes , J., Nealon , R., Alexander , R., et al. 2023, , 948, 36, 10.3847/1538-4357/acbdf1
2023 doi
-
[33]
H., Jang-Condell , H., & Schneider , G
Debes , J. H., Jang-Condell , H., & Schneider , G. 2016, , 819, L1, 10.3847/2041-8205/819/1/L1
2016 doi
- [34]
-
[35]
Deng , H., & Ogilvie , G. I. 2022, , 512, 6078, 10.1093/mnras/stac858
2022 doi
-
[36]
F., Gregory , S
Donati , J. F., Gregory , S. G., Montmerle , T., et al. 2011, , 417, 1747, 10.1111/j.1365-2966.2011.19366.x
2011
-
[37]
2011, , 141, 46, 10.1088/0004-6256/141/2/46
Donehew , B., & Brittain , S. 2011, , 141, 46, 10.1088/0004-6256/141/2/46
2011 doi
-
[38]
1995, , 300, 503
Dorschner , J., Begemann , B., Henning , T., Jaeger , C., & Mutschke , H. 1995, , 300, 503
1995
-
[39]
J., King , A
Do g an , S., Nixon , C. J., King , A. R., & Pringle , J. E. 2018, , 476, 1519, 10.1093/mnras/sty155
2018 doi
-
[40]
J., King , A
Do g an , S., Nixon , C. J., King , A. R., Pringle , J. E., & Price , D. 2023, in IAU Symposium, Vol. 362, The Predictive Power of Computational Astrophysics as a Discover Tool, ed. D. Bisikalo , D. Wiebe , & C. Boily , 177--183, 10.1017/S1743921322001387
2023 doi
-
[41]
P., Juhasz , A., Pohl , A., et al
Dullemond , C. P., Juhasz , A., Pohl , A., et al. 2012, RADMC-3D: A multi-purpose radiative transfer tool , Astrophysics Source Code Library, record ascl:1202.015
2012
-
[42]
P., Kimmig , C
Dullemond , C. P., Kimmig , C. N., & Zanazzi , J. J. 2022, , 511, 2925, 10.1093/mnras/stab2791
2022 doi
-
[43]
2018, , 473, 4459, 10.1093/mnras/stx2523
Facchini , S., Juh \'a sz , A., & Lodato , G. 2018, , 473, 4459, 10.1093/mnras/stx2523
2018 doi
-
[44]
Facchini , S., Lodato , G., & Price , D. J. 2013, , 433, 2142, 10.1093/mnras/stt877
2013 doi
-
[45]
R., Oudmaijer , R
Fairlamb , J. R., Oudmaijer , R. D., Mendigut \' a , I., Ilee , J. D., & van den Ancker , M. E. 2015, , 453, 976, 10.1093/mnras/stv1576
2015 doi
-
[46]
E., Acke , B., et al
Fedele , D., van den Ancker , M. E., Acke , B., et al. 2008, , 491, 809, 10.1051/0004-6361:200810126
2008 doi
-
[47]
M., Simon , J
Flaherty , K., Hughes , A. M., Simon , J. B., et al. 2020, , 895, 109, 10.3847/1538-4357/ab8cc5
2020 doi
-
[49]
F., et al
Galloway-Sprietsma , M., Bae , J., Izquierdo , A. F., et al. 2025, , 984, L10, 10.3847/2041-8213/adc437
2025 doi
-
[50]
H., Isella , A., Li , H., et al
Gardner , C. H., Isella , A., Li , H., et al. 2025, , 984, L16, 10.3847/2041-8213/adc432
2025 doi
-
[51]
2018, , 620, A94, 10.1051/0004-6361/201833872
Garufi , A., Benisty , M., Pinilla , P., et al. 2018, , 620, A94, 10.1051/0004-6361/201833872
2018 doi
-
[52]
G., et al
Garufi , A., Ginski , C., van Holstein , R. G., et al. 2024, , 685, A53, 10.1051/0004-6361/202347586
2024 doi
-
[53]
2021, , 908, L25, 10.3847/2041-8213/abdf57
Ginski , C., Facchini , S., Huang , J., et al. 2021, , 908, L25, 10.3847/2041-8213/abdf57
2021 doi
-
[54]
A., Schneider , G., Sitko , M
Grady , C. A., Schneider , G., Sitko , M. L., et al. 2009, , 699, 1822, 10.1088/0004-637X/699/2/1822
2009 doi
-
[55]
R., Millman, K
Harris, C. R., Millman, K. J., van der Walt, S. J., et al. 2020, Nature, 585, 357, 10.1038/s41586-020-2649-2
2020 doi
-
[56]
J., Facchini , S., Clarke , C
Haworth , T. J., Facchini , S., Clarke , C. J., & Cleeves , L. I. 2017, , 468, L108, 10.1093/mnrasl/slx037
2017 doi
-
[57]
E., & Ogilvie , G
Held , L. E., & Ogilvie , G. I. 2024, , 535, 3108, 10.1093/mnras/stae2487
2024 doi
-
[58]
M., et al
Hu \'e lamo , N., Chauvin , G., Schmid , H. M., et al. 2018, , 613, L5, 10.1051/0004-6361/201832874
2018 doi
-
[59]
2013, , 767, 112, 10.1088/0004-637X/767/2/112
Ingleby , L., Calvet , N., Herczeg , G., et al. 2013, , 767, 112, 10.1088/0004-637X/767/2/112
2013 doi
-
[60]
F., Testi , L., Facchini , S., Rosotti , G
Izquierdo , A. F., Testi , L., Facchini , S., Rosotti , G. P., & van Dishoeck , E. F. 2021, , 650, A179, 10.1051/0004-6361/202140779
2021 doi
-
[61]
F., Stadler , J., Galloway-Sprietsma , M., et al
Izquierdo , A. F., Stadler , J., Galloway-Sprietsma , M., et al. 2025, , 984, L8, 10.3847/2041-8213/adc439
2025 doi
-
[62]
1994, , 292, 641
Jaeger , C., Mutschke , H., Begemann , B., Dorschner , J., & Henning , T. 1994, , 292, 641
1994
-
[63]
2017, , 466, 4053, 10.1093/mnras/stw3389
Juh \'a sz , A., & Facchini , S. 2017, , 466, 4053, 10.1093/mnras/stw3389
2017 doi
-
[64]
N., & Dullemond , C
Kimmig , C. N., & Dullemond , C. P. 2024, , 689, A45, 10.1051/0004-6361/202348660
2024 doi
- [65]
-
[66]
K., et al
Kraus , S., Kreplin , A., Young , A. K., et al. 2020, Science, 369, 1233, 10.1126/science.aba4633
2020 doi
-
[67]
S., & Haugb lle , T
Kuffmeier , M., Jensen , S. S., & Haugb lle , T. 2023, European Physical Journal Plus, 138, 272, 10.1140/epjp/s13360-023-03880-y
2023 doi
-
[68]
E., Segura-Cox , D., & Haugb lle , T
Kuffmeier , M., Pineda , J. E., Segura-Cox , D., & Haugb lle , T. 2024, , 690, A297, 10.1051/0004-6361/202450410
2024 doi
- [69]
-
[70]
P., Kluska , J., et al
Lazareff , B., Berger , J. P., Kluska , J., et al. 2017, , 599, A85, 10.1051/0004-6361/201629305
2017 doi
-
[71]
2013, , 433, 2157, 10.1093/mnras/stt878
Lodato , G., & Facchini , S. 2013, , 433, 2157, 10.1093/mnras/stt878
2013 doi
-
[72]
Lodato , G., & Price , D. J. 2010, , 405, 1212, 10.1111/j.1365-2966.2010.16526.x
2010
-
[73]
Lodato , G., & Pringle , J. E. 2006, , 368, 1196, 10.1111/j.1365-2966.2006.10194.x
2006
-
[74]
2007, , 381, 1287, 10.1111/j.1365-2966.2007.12332.x
---. 2007, , 381, 1287, 10.1111/j.1365-2966.2007.12332.x
2007
-
[75]
2023, , 518, 4481, 10.1093/mnras/stac3223
Lodato , G., Rampinelli , L., Viscardi , E., et al. 2023, , 518, 4481, 10.1093/mnras/stac3223
2023 doi
-
[76]
2021, , 503, 4930, 10.1093/mnras/stab843
Longarini , C., Lodato , G., Toci , C., & Aly , H. 2021, , 503, 4930, 10.1093/mnras/stab843
2021 doi
-
[77]
2025, , 984, L17, 10.3847/2041-8213/adc431
Longarini , C., Lodato , G., Rosotti , G., et al. 2025, , 984, L17, 10.3847/2041-8213/adc431
2025 doi
-
[78]
A., \"O berg , K
Loomis , R. A., \"O berg , K. I., Andrews , S. M., & MacGregor , M. A. 2017, , 840, 23, 10.3847/1538-4357/aa6c63
2017 doi
-
[79]
A., Facchini , S., Benisty , M., et al
Loomis , R. A., Facchini , S., Benisty , M., et al. 2025, , 984, L7, 10.3847/2041-8213/adc43a
2025 doi
- [80]
- [81]
-
[82]
F., Testi , L., Natta , A., et al
Manara , C. F., Testi , L., Natta , A., et al. 2014, , 568, A18, 10.1051/0004-6361/201323318
2014 doi
-
[83]
F., Testi , L., Herczeg , G
Manara , C. F., Testi , L., Herczeg , G. J., et al. 2017, , 604, A127, 10.1051/0004-6361/201630147
2017 doi
-
[84]
2024, , 686, A9, 10.1051/0004-6361/202348546
Martire , P., Longarini , C., Lodato , G., et al. 2024, , 686, A9, 10.1051/0004-6361/202348546
2024 doi
-
[85]
2018, , 868, L3, 10.3847/2041-8213/aae88b
Mayama , S., Akiyama , E., Pani \'c , O., et al. 2018, , 868, L3, 10.3847/2041-8213/aae88b
2018 doi
-
[86]
E., Launhardt , R., et al
M \"u ller , A., van den Ancker , M. E., Launhardt , R., et al. 2011, , 530, A85, 10.1051/0004-6361/201116732
2011 doi
-
[87]
A., Benisty , M., Ginski , C., et al
Muro-Arena , G. A., Benisty , M., Ginski , C., et al. 2020, , 635, A121, 10.1051/0004-6361/201936509
2020 doi
-
[88]
G., & Nixon , C
Nealon , R., Dipierro , G., Alexander , R., Martin , R. G., & Nixon , C. 2018, , 481, 20, 10.1093/mnras/sty2267
2018 doi
-
[89]
2019, , 484, 4951, 10.1093/mnras/stz346
Nealon , R., Pinte , C., Alexander , R., Mentiplay , D., & Dipierro , G. 2019, , 484, 4951, 10.1093/mnras/stz346
2019 doi
-
[90]
J., & Pinte , C
Nealon , R., Price , D. J., & Pinte , C. 2020, , 493, L143, 10.1093/mnrasl/slaa026
2020 doi
-
[91]
2013, , 434, 1946, 10.1093/mnras/stt1136
Nixon , C., King , A., & Price , D. 2013, , 434, 1946, 10.1093/mnras/stt1136
2013 doi
-
[92]
Ogilvie , G. I. 1999, , 304, 557, 10.1046/j.1365-8711.1999.02340.x
1999
- [93]
- [94]
-
[95]
2023, , 75, 424, 10.1093/pasj/psad009
Orihara , R., Momose , M., Muto , T., et al. 2023, , 75, 424, 10.1093/pasj/psad009
2023 doi
-
[96]
2005, , 358, 632, 10.1111/j.1365-2966.2005.08805.x
O'Sullivan , M., Truss , M., Walker , C., et al. 2005, , 358, 632, 10.1111/j.1365-2966.2005.08805.x
2005
-
[97]
Paardekooper , S.-J., & Ogilvie , G. I. 2019, , 483, 3738, 10.1093/mnras/sty3349
2019 doi
-
[98]
Papaloizou , J. C. B., & Pringle , J. E. 1983, , 202, 1181, 10.1093/mnras/202.4.1181
1983 doi
-
[99]
2011, Journal of Machine Learning Research, 12, 2825
Pedregosa, F., Varoquaux, G., Gramfort, A., et al. 2011, Journal of Machine Learning Research, 12, 2825
2011
-
[100]
M., Benisty , M., Andrews , S
P \'e rez , L. M., Benisty , M., Andrews , S. M., et al. 2018, , 869, L50, 10.3847/2041-8213/aaf745
2018 doi
-
[101]
E., Quanz , S
Pineda , J. E., Quanz , S. P., Meru , F., et al. 2014, , 788, L34, 10.1088/2041-8205/788/2/L34
2014 doi
-
[102]
2018, , 868, 85, 10.3847/1538-4357/aae824
Pinilla , P., Benisty , M., de Boer , J., et al. 2018, , 868, 85, 10.3847/1538-4357/aae824
2018 doi
-
[103]
J., M \'e nard , F., et al
Pinte , C., Price , D. J., M \'e nard , F., et al. 2018, , 860, L13, 10.3847/2041-8213/aac6dc
2018 doi
- [104]
-
[105]
D., Huang , J., et al
Pinte , C., Ilee , J. D., Huang , J., et al. 2025, , 984, L15, 10.3847/2041-8213/adc433
2025 doi
-
[106]
J., Cuello , N., Pinte , C., et al
Price , D. J., Cuello , N., Pinte , C., et al. 2018, , 477, 1270, 10.1093/mnras/sty647
2018 doi
-
[107]
Pringle , J. E. 1996, , 281, 357, 10.1093/mnras/281.1.357
1996 doi
-
[108]
B., Benisty , M., Ginski , C., et al
Ren , B. B., Benisty , M., Ginski , C., et al. 2023, , 680, A114, 10.1051/0004-6361/202347353
2023 doi
-
[109]
B., Xie , C., Benisty , M., et al
Ren , B. B., Xie , C., Benisty , M., et al. 2024, , 681, L2, 10.1051/0004-6361/202348114
2024 doi
-
[110]
2023, , 673, A77, 10.1051/0004-6361/202245637
Ribas , \'A ., Mac \' as , E., Weber , P., et al. 2023, , 673, A77, 10.1051/0004-6361/202245637
2023 doi
-
[111]
2015, , 801, 31, 10.1088/0004-637X/801/1/31
Rigliaco , E., Pascucci , I., Duchene , G., et al. 2015, , 801, 31, 10.1088/0004-637X/801/1/31
2015 doi
- [112]
-
[113]
M., Koldoba , A
Romanova , M. M., Koldoba , A. V., Ustyugova , G. V., et al. 2021, , 506, 372, 10.1093/mnras/stab1724
2021 doi
-
[114]
A., Chiang , E., & Andrews , S
Rosenfeld , K. A., Chiang , E., & Andrews , S. M. 2014, , 782, 62, 10.1088/0004-637X/782/2/62
2014 doi
-
[115]
P., Dale , J
Rosotti , G. P., Dale , J. E., de Juan Ovelar , M., et al. 2014, , 441, 2094, 10.1093/mnras/stu679
2014 doi
-
[116]
2014, , 791, L38, 10.1088/2041-8205/791/2/L38
Sakai , N., Oya , Y., Sakai , T., et al. 2014, , 791, L38, 10.1088/2041-8205/791/2/L38
2014 doi
-
[117]
R., Henning , T., Christiaens , V., et al
Schwarz , K. R., Henning , T., Christiaens , V., et al. 2024, , 962, 8, 10.3847/1538-4357/ad1393
2024 doi
-
[118]
R., Samland , M., Olofsson , G., et al
Schwarz , K. R., Samland , M., Olofsson , G., et al. 2025, , 980, 148, 10.3847/1538-4357/adaa79
2025 doi
-
[119]
B., Dong , R., et al
Shuai , L., Ren , B. B., Dong , R., et al. 2022, , 263, 31, 10.3847/1538-4365/ac98fd
2022 doi
-
[120]
F., de Boer , J., et al
Sicilia-Aguilar , A., Manara , C. F., de Boer , J., et al. 2020, , 633, A37, 10.1051/0004-6361/201936565
2020 doi
-
[121]
L., Day , A
Sitko , M. L., Day , A. N., Kimes , R. L., et al. 2012, , 745, 29, 10.1088/0004-637X/745/1/29
2012 doi
-
[122]
2023, , 670, L1, 10.1051/0004-6361/202245381
Stadler , J., Benisty , M., Izquierdo , A., et al. 2023, , 670, L1, 10.1051/0004-6361/202245381
2023 doi
-
[123]
J., et al
Stadler , J., Benisty , M., Winter , A. J., et al. 2025, , 984, L11, 10.3847/2041-8213/adb152
2025 doi
-
[124]
M., McGinnis , P., et al
Stauffer , J., Cody , A. M., McGinnis , P., et al. 2015, , 149, 130, 10.1088/0004-6256/149/4/130
2015 doi
-
[125]
C., & Gahm , G
Stempels , H. C., & Gahm , G. F. 2004, , 421, 1159, 10.1051/0004-6361:20034502
2004 doi
-
[126]
2016, , 595, A113, 10.1051/0004-6361/201528039
Stolker , T., Dominik , C., Avenhaus , H., et al. 2016, , 595, A113, 10.1051/0004-6361/201528039
2016 doi
-
[127]
M., et al
Teague , R., Bae , J., Andrews , S. M., et al. 2022, , 936, 163, 10.3847/1538-4357/ac88ca
2022 doi
-
[128]
2025, , 984, L6, 10.3847/2041-8213/adc43b
Teague , R., Benisty , M., Facchini , S., et al. 2025, , 984, L6, 10.3847/2041-8213/adc43b
2025 doi
- [129]
-
[130]
2023, , 946, 70, 10.3847/1538-4357/acb92e
Villenave , M., Podio , L., Duch \^e ne , G., et al. 2023, , 946, 70, 10.3847/1538-4357/acb92e
2023 doi
-
[131]
M., & Stapelfeldt , K
Watson , A. M., & Stapelfeldt , K. R. 2007, , 133, 845, 10.1086/510455
2007 doi
-
[132]
J., Benisty , M., Manara , C
Winter , A. J., Benisty , M., Manara , C. F., & Gupta , A. 2024 a , , 691, A169, 10.1051/0004-6361/202452120
2024 doi
-
[133]
J., Benisty , M., Shuai , L., et al
Winter , A. J., Benisty , M., Shuai , L., et al. 2024 b , , 691, A43, 10.1051/0004-6361/202450842
2024 doi
-
[134]
2025, , 984, L22, 10.3847/2041-8213/adc42c
W \"o lfer , L., Barraza-Alfaro , M., Teague , R., et al. 2025, , 984, L22, 10.3847/2041-8213/adc42c
2025 doi
-
[135]
K., Alexander , R., Rosotti , G., & Pinte , C
Young , A. K., Alexander , R., Rosotti , G., & Pinte , C. 2022, , 513, 487, 10.1093/mnras/stac840
2022 doi
-
[136]
K., Alexander , R., Walsh , C., et al
Young , A. K., Alexander , R., Walsh , C., et al. 2021, , 505, 4821, 10.1093/mnras/stab1675
2021 doi
-
[137]
K., Stevenson , S., Nixon , C
Young , A. K., Stevenson , S., Nixon , C. J., & Rice , K. 2023, , 525, 2616, 10.1093/mnras/stad2451
2023 doi
- [138]
-
[139]
2025, , 984, L14, 10.3847/2041-8213/adc434
Zawadzki , B., Czekala , I., Galloway-Sprietsma , M., et al. 2025, , 984, L14, 10.3847/2041-8213/adc434
2025 doi
-
[140]
2024, , 974, L38, 10.3847/2041-8213/ad815f
Zhang , S., & Zhu , Z. 2024, , 974, L38, 10.3847/2041-8213/ad815f
2024 doi
-
[141]
B., Ma , B., et al
Zhong , H., Ren , B. B., Ma , B., et al. 2024, , 684, A168, 10.1051/0004-6361/202348874
2024 doi
- [142]
-
[143]
P., Birnstiel , T., Benisty , M., & Nelson , R
Ziampras , A., Dullemond , C. P., Birnstiel , T., Benisty , M., & Nelson , R. P. 2025, , 540, 1185, 10.1093/mnras/staf785
2025 doi
-
[144]
2024, , 692, A56, 10.1051/0004-6361/202451145
Zuleta , A., Birnstiel , T., & Teague , R. 2024, , 692, A56, 10.1051/0004-6361/202451145
2024 doi
Reviewed August 6, 2026 · model on record in the stance chip above.
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