REVIEW 4 major objections 4 minor 1 cited by
The evolution of the flux-size relationship in protoplanetary discs by viscous evolution and radial pebble drift
T0 review · 4 major / 4 minor · reviewed 2026-08-10 · deepseek-v4-flash
Pith's one-line read The paper argues that observed class 0/I disc fluxes and radii are best matched by a model where cloud-core angular momentum gives a 40 au centrifugal radius and viscous heating is weak, while class II discs tolerate both 40 au and 10 au…
desk verdict A plausible but visually-staked model-data comparison that deserves review, with the central class 0/I preference stronger than the evidence supports. 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 flux-size relation: the 1.3 mm continuum flux $F_\nu$ plotted against the flux radius, defined as the radius containing 68% or 95% of the total integrated intensity. The machinery is a one-dimensional model in which a Bonnor-Ebert sphere collapses to form a viscous $\alpha$-disc, with angular-momentum transport coefficient $\alpha_\nu = 10^{-2}$ and a separate viscous-heating coefficient $\alpha_{\rm vh}$, while dust grows to the fragmentation limit and drifts radially inward under the Weidenschilling drift prescription. Emission is computed from the Birnstiel et al. (2018) opacity tables using $I_\nu = B_\nu(1-e^{-\tau_\nu})$, so the flux radius is a direct prediction. The 95% flux radius is the discriminating quantity because it traces the faint outer disc, hence the physical size set by the core's angular momentum, while the total flux carries the temperature and mass information affected by viscous heating.
What would settle it
Measure a sample of class 0/I disc sizes with radiative-transfer modelling instead of single-Gaussian fitting; if the resulting 95% flux radii are systematically about a factor of two smaller than the Gaussian radii, the claimed preference for the 40 au, weak-viscous-heating model would weaken or vanish.
Extended reading notes
Core claim
On its own terms, the paper's discovery is that the flux-radius plane separates disc formation physics: a disc evolving from a high-angular-momentum core with a centrifugal radius $R_1 = 40$ au and inefficient viscous heating, $\alpha_{\rm vh} = 10^{-3}$, passes through the observed fluxes and 95% flux radii of the eDisk and VANDAM class 0/I samples during its embedded buildup, whereas a low-angular-momentum core with $R_1 = 10$ au and full viscous heating, $\alpha_{\rm vh} = 10^{-2}$, produces discs that are too small and too bright at that stage. For class II discs both models are compatible, so the claim is specifically that the youngest discs carry the information. A second discovery is that radial drift makes discs optically thin at 1.3 mm for most of their lifetime, so the standard optically-thin mass formula traces true dust mass within a factor of about two after 0.5 Myr, with a factor of about three underestimate during the embedded phase.
Load-bearing premise
The comparison assumes that the Gaussian-fit sizes of embedded class 0/I discs can stand in for the model's 95% flux radius, although the paper cites evidence that such fits can overestimate sizes by up to a factor of two.
Editorial extensions
If this is right
- The flux-radius plane can discriminate between formation models: the embedded class 0/I phase rejects low-angular-momentum cores with efficient viscous heating.
- For discs older than about 0.5 Myr, standard 1.3 mm dust masses trace true masses to within roughly a factor of two, so cluster-age dust-mass trends can be interpreted as radial-drift depletion rather than opacity artefacts.
- Very young and massive embedded discs can have their 1.3 mm dust masses underestimated by up to a factor of about three, making those estimates lower limits.
- A population model with 40 au centrifugal radii and weak viscous heating reproduces the observed cumulative dust-mass decline across clusters aged about 0.5 to 5 Myr.
- With photoevaporation, discs retain a narrow dusty ring outside the gap, keeping flux radii large while total fluxes drop as the inner disc is cleared.
Reading between the lines
- If Gaussian fitting overestimates embedded disc sizes by the factor of two cited in the paper, then the claimed preference for the 40 au, weak-heating model would probably become a weaker preference for an intermediate or 10 au model; radiative-transfer size measurements of the same targets would settle this directly.
- The model omits dust diffusion, which the paper notes can enlarge 90% flux radii by up to a factor of two; including diffusion could let lower-angular-momentum cores reproduce the same observed sizes, making the 40 au requirement an upper bound on core angular momentum.
- If angular momentum transport is dominated by MHD winds rather than viscosity, discs may not viscously expand, so reproducing large class 0/I radii may require even higher initial angular momentum or an additional expansion mechanism.
- The model's spectral index rises to about 3.25 at 1 Myr, above typical observed values, suggesting that fragmentation-limited growth makes mm-sized grains too scarce; allowing grain growth past the fragmentation barrier or dust trapping would raise the mm opacity and could change the inferred dust masses.
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. The paper presents a one-dimensional model of protoplanetary disc formation and viscous evolution, coupled to dust growth and radial drift, and uses it to compute the millimeter flux, flux radius, and optically thin dust mass of young discs. Two model variants are compared: one with high angular momentum (R1=40 au) and weak viscous heating (alpha_vh=1e-3), and one with low angular momentum (R1=10 au) and strong viscous heating (alpha_vh=1e-2). The authors report that the first variant best matches the observed fluxes and radii of class 0/I discs, that class II discs are consistent with both models, and that after about 0.5 Myr discs are largely optically thin at 1.3 mm, so standard dust mass estimates are accurate to within a factor of about two. A population synthesis with the preferred parameters reproduces the cumulative dust mass distributions of young star-forming clusters.
Significance. If the conclusions hold, the paper would establish the flux-size plane as a practical diagnostic for the angular momentum budget and viscous heating efficiency of protoplanetary discs, and would strengthen the case that viscous heating is inefficient in embedded discs. The model is clearly described, with explicit equations for the intensity and flux radius and a transparent discussion of parameter choices. The paper is also commendably candid about its limitations, especially the factor-of-two uncertainty in observed disc sizes and the simplifications of the model. The second claim, that discs are optically thin at 1.3 mm for most of their evolution, is a robust output of the model and is useful for the interpretation of dust mass surveys. However, the central model-preference claim is currently supported only by a visual overlay of model tracks on observed data, without a quantitative goodness-of-fit measure or treatment of upper limits, and the paper itself concedes that the factor-of-two size uncertainty could erase the apparent preference. These issues need to be addressed before the central claim can be considered established.
major comments (4)
- [Sec. 3.2, Figs. 4-6] The abstract and Sec. 3.2 state that the model with R1=40 au and alpha_vh=1e-3 is 'best able to match' the observed class 0/I flux and radius data. However, this conclusion is drawn by eye from overlaying model tracks on the observed points in Figs. 4-6; no goodness-of-fit statistic, confidence interval, or treatment of measurement errors is provided. The comparison also excludes discs with upper limits on their size, which biases the observed sample toward larger radii and may favor the high-angular-momentum model. The authors should either (i) quantify the agreement (e.g., the fraction of observed points within a given distance of the model track, or a likelihood-based comparison) and show the sensitivity to the excluded upper limits, or (ii) soften the claim to state that the model is 'consistent with' rather than 'best able to match' the data.
- [Sec. 2.2, Eq. (6) vs Sec. 5.3] The model flux radius defined in Eq. (6) is the radius containing a given fraction of the integrated model intensity. The observed class 0/I sizes from Ohashi et al. (2023) and Tobin et al. (2020) are derived from single-Gaussian fits to the continuum emission. These are different estimators, and the paper acknowledges in Sec. 5.3 that Gaussian fitting of embedded objects can overestimate true sizes by up to a factor of two (Tung et al. 2024). This is in tension with the statement in Sec. 2.2 that the differences between the two methods 'should be small'. Because the discrimination between the two models in Sec. 3.2 rests on matching the observed 95% radii, the factor-of-two systematic directly affects the central claim. The authors should either compute synthetic observations from the model (including appropriate resolution and fitting procedures) or, at minimum, propagate the factor-of-two uncertainty into the stated model preference.
- [Sec. 2.1, Table 1] The preferred values R1=40 au and alpha_vh=1e-3 are not derived from independent constraints; they are selected because the resulting model tracks pass through the observed class 0/I points in the flux-radius plane. Only two values of each parameter are explored (Table 1 and Fig. 6), and no systematic parameter search or quantitative selection metric is presented. The abstract's claim to be 'best able to match' therefore overstates the evidence. The conclusion should be rephrased as 'among the model variants we consider' unless a broader parameter exploration or a statistical model-comparison test is added.
- [Sec. 5.3, Eq. (3)] The flux-size tracks are computed for face-on discs, with no dust diffusion, and using only absorption (Eq. 3) with no scattering. As the authors note in Sec. 5.3, dust diffusion can increase the 90% flux radius by up to a factor of two (Pinilla et al. 2021), scattering can reduce the flux from optically thick regions (Zhu et al. 2019), and inclination affects the measured size. The argument that the effect of diffusion on the 95% radius would still leave the agreement 'good' is not demonstrated. Given that the central discrimination depends on the radii of the class 0/I discs, a test with at least one of these effects included (or a clear justification for ignoring them) is needed to establish robustness.
minor comments (4)
- [Abstract] The phrase 'the evolution of the cumulative evolution of the observable dust masses' contains a duplicated word; it should be something like 'the evolution of the cumulative distribution of observable dust masses'.
- [Sec. 3.2, Fig. 4 caption] The caption states that the class 0/I discs report the 95% flux radius, but the text in Sec. 3.2 says the eDisk sizes were estimated from Gaussian fitting; please clarify how the reported 95% radius relates to Gaussian-derived sizes, or refer to the observed quantity as 'reported size' rather than '95% flux radius'.
- [Sec. 5.1] There is a typo: 'Viscous heating as also been inferred' should be 'Viscous heating has also been inferred'.
- [Sec. 4, Fig. 7] The agreement between the model and observed cumulative dust mass distributions is assessed visually. A two-sample Kolmogorov-Smirnov test or a similar quantitative comparison would strengthen the statement that the model 'agrees well' with the observations.
Circularity Check
No significant circularity: the flux-radius agreement is a forward-model parameter comparison, not a fitted prediction, and the population synthesis provides an external check.
full rationale
The paper's central claim is that a disc model with R1=40 au and alpha_vh=1e-3 best reproduces observed class 0/I fluxes and radii. These values are stated as model inputs in Sec. 2.1 and Table 1, not derived from the data by a fitting procedure, and the conclusion is a qualitative selection among two pre-defined parameter combinations. The disc flux and flux radius are computed from the model intensity profile via Eqs. (3)-(6), so the comparison is forward-modeled rather than constructed to match the data. The subsequent population synthesis in Sec. 4 uses the selected model to compare an independent observable, the cumulative dust-mass distribution in star-forming regions, which is not the same data used to motivate the parameter choice. The main admitted limitation in Sec. 5.3 is that Gaussian-fitted eDisk sizes may overestimate true sizes by up to a factor of 2, which could weaken the model preference; this is a measurement and systematic uncertainty, not a circular reduction. Appendix C corrects a parameter error in the authors' prior A23 nominal run and states that the conclusions of that paper are unchanged; this self-correction is not load-bearing for the present derivation. No equation in the paper reduces an output to an input by construction, and no fitted parameter is renamed as a prediction. Hence no significant circularity.
Assumptions & free parameters
free parameters (7)
- R1 (centrifugal radius scaling) =
40 au (mod-a-3-r40) and 10 au (mod-a-2-r10)
- alpha_vh (viscous heating efficiency) =
1e-3 (weak) and 1e-2 (full)
- alpha_nu (angular momentum transport coefficient) =
1e-2
- alpha_t (turbulent stirring) =
1e-4
- v_f (fragmentation velocity) =
1 m/s
- T_disc (assumed disc temperature for mass estimates) =
30 K for class 0/I, 20 K for class II
- tau_disc (disc lifetime for fdisc scaling) =
2.5 Myr
assumptions (7)
- domain assumption Gas disc evolution follows the classical viscous alpha-disc equations (Shakura & Sunyaev 1973; Pringle 1981) with a single alpha parameter for angular momentum transport.
- domain assumption Disc formation from collapse of a Bonnor-Ebert sphere with the Takahashi et al. (2013) rotationally supported collapse model.
- domain assumption Dust growth is fragmentation-limited with v_f=1 m/s and turbulent stirring alpha_t=1e-4; only the largest particles are traced.
- domain assumption The dust opacity is given by the Birnstiel et al. (2018) opacity tables for a particle size distribution n(a) proportional to a^-3.5.
- domain assumption Disc emission is computed as I_nu = B_nu(T)(1 - exp(-tau_nu)) with face-on viewing (i=0) and no scattering.
- domain assumption The observed survey flux radii (Gaussian-fitted sizes or 68%/95% radii) are directly comparable to the model flux radii from Eq. (6).
- domain assumption Photoevaporation follows the Picogna et al. (2021) X-ray prescription when calculating population synthesis.
Cite this review
Pith. "Pith review of The evolution of the flux-size relationship in protoplanetary discs by viscous evolution and radial pebble drift." pith.science (2026). https://pith.science/paper/JDBQEKOT
@misc{pith2026250104411,
author = {Pith},
title = {Pith review of: The evolution of the flux-size relationship in protoplanetary discs by viscous evolution and radial pebble drift},
year = {2026},
howpublished = {\url{https://pith.science/paper/JDBQEKOT}},
note = {Machine review of arXiv:2501.04411}
}
read the original abstract
In this paper we study the evolution of radiative fluxes, flux radii and observable dust masses in protoplanetary discs, in order to understand how these depend on the angular momentum budget and on the assumed heat sources. We use a model that includes the formation and viscous evolution of protoplanetary gas discs, together with the growth and radial drift of the dust component. We find that we are best able to match the observed fluxes and radii of class 0/I discs when we assume (i) an initial total angular momentum budget corresponding to a centrifugal radius of 40 au around solar-like stars, and (ii) inefficient viscous heating. Fluxes and radii of class II discs appear consistent with disc models with angular momentum budgets equivalent to centrifugal radii of both 40 au or 10 au for solar like stars, and with models where viscous heating occurs at either full efficiency or at reduced efficiency. During the first 0.5 Myr of their evolution discs are generally optically thick at a wavelength of 1.3 mm. However, after this discs are optically thin at mm-wavelengths, supporting standard means of dust mass estimates. Using a disc population synthesis model, we then show that the evolution of the cumulative evolution of the observable dust masses agrees well with that observed in young star forming clusters of different ages.
Figures
Figures from the paper (7 more)
Forward citations
Cited by 1 Pith paper
-
The Far-Infrared Enhanced Survey Spectrometer (FIRESS) for PRIMA: Science Drivers
FIRESS, a 24-235 µm grating plus Fourier-transform spectrometer with 672 MKID channels, is claimed to be 30-200x more sensitive than Herschel-PACS, enabling the first HD-based disk gas census, SFR/AGN and wind tracers...
Reference graph
Works this paper leans on
-
[1]
, " * write output.state after.block = add.period write newline
ENTRY address archiveprefix author booktitle chapter edition editor howpublished institution eprint journal key month note number organization pages publisher school series title type volume year label extra.label sort.label short.list INTEGERS output.state before.all mid.sentence after.sentence after.block FUNCTION init.state.consts #0 'before.all := #1 ...
-
[2]
write newline
" write newline "" before.all 'output.state := FUNCTION n.dashify 't := "" t empty not t #1 #1 substring "-" = t #1 #2 substring "--" = not "--" * t #2 global.max substring 't := t #1 #1 substring "-" = "-" * t #2 global.max substring 't := while if t #1 #1 substring * t #2 global.max substring 't := if while FUNCTION word.in bbl.in " " * FUNCTION format....
-
[3]
L., Jensen , E
Akeson , R. L., Jensen , E. L. N., Carpenter , J., et al. 2019, , 872, 158
2019
-
[4]
2024, , 527, 9655
Alarc \'o n , F., Casassus , S., Lyra , W., P \'e rez , S., & Cieza , L. 2024, , 527, 9655
2024
-
[5]
Andrews , S. M., Huang , J., P \'e rez , L. M., et al. 2018 a , , 869, L41
work page 2018
-
[6]
M., Rosenfeld , K
Andrews , S. M., Rosenfeld , K. A., Kraus , A. L., & Wilner , D. J. 2013, , 771, 129
2013
-
[7]
M., Terrell , M., Tripathi , A., et al
Andrews , S. M., Terrell , M., Tripathi , A., et al. 2018 b , , 865, 157
work page 2018
-
[8]
Andrews , S. M. & Williams , J. P. 2005, , 631, 1134
2005
Show all 71 references
-
[9]
P., Trapman , L., et al
Ansdell , M., Williams , J. P., Trapman , L., et al. 2018, , 859, 21
2018
-
[10]
P., van der Marel , N., et al
Ansdell , M., Williams , J. P., van der Marel , N., et al. 2016, , 828, 46
2016
-
[11]
2023, , 673, A139
Appelgren , J., Lambrechts , M., & van der Marel , N. 2023, , 673, A139
2023
-
[12]
2023, in Astronomical Society of the Pacific Conference Series, Vol
Bae , J., Isella , A., Zhu , Z., 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 , 423
2023
-
[13]
& Stone , J
Bai , X.-N. & Stone , J. M. 2013, , 769, 76
2013
-
[14]
Ballering , N. P. & Eisner , J. A. 2019, , 157, 144
2019
-
[15]
A., Carpenter , J
Barenfeld , S. A., Carpenter , J. M., Ricci , L., & Isella , A. 2016, , 827, 142
2016
-
[16]
G., Boogert , A., Li , J., et al
Barr , A. G., Boogert , A., Li , J., et al. 2022, , 935, 165
2022
-
[17]
& Morbidelli , A
Batygin , K. & Morbidelli , A. 2023, Nature Astronomy, 7, 330
2023
-
[18]
2024, , 62, 157
Birnstiel , T. 2024, , 62, 157
2024
-
[19]
P., Zhu , Z., et al
Birnstiel , T., Dullemond , C. P., Zhu , Z., et al. 2018, , 869, L45
2018
-
[20]
2012, , 539, A148
Birnstiel , T., Klahr , H., & Ercolano , B. 2012, , 539, A148
2012
-
[21]
Carr , J. S. & Najita , J. R. 2011, , 733, 102
2011
-
[22]
A., Ru \' z-Rodr \' guez , D., Hales , A., et al
Cieza , L. A., Ru \' z-Rodr \' guez , D., Hales , A., et al. 2019, , 482, 698
2019
-
[23]
F., Manara , C
Facchini , S., van Dishoeck , E. F., Manara , C. F., et al. 2019, , 626, L2
2019
-
[24]
B., Izquierdo , A
Galv \'a n-Madrid , R., Liu , H. B., Izquierdo , A. F., et al. 2018, , 868, 39
2018
-
[25]
M., Carrasco-Gonz \'a lez , C., Mac \' as , E., et al
Guerra-Alvarado , O. M., Carrasco-Gonz \'a lez , C., Mac \' as , E., et al. 2024, , 686, A298
2024
-
[26]
2024, , 682, A43
Gurrutxaga , N., Johansen , A., Lambrechts , M., & Appelgren , J. 2024, , 682, A43
2024
-
[27]
2020, , 895, 126
Hendler , N., Pascucci , I., Pinilla , P., et al. 2020, , 895, 126
2020
-
[28]
Hildebrand , R. H. 1983, , 24, 267
1983
-
[29]
M., Dullemond , C
Huang , J., Andrews , S. M., Dullemond , C. P., et al. 2018, , 869, L42
2018
-
[30]
2021, Science Advances, 7, eabc0444
Johansen , A., Ronnet , T., Bizzarro , M., et al. 2021, Science Advances, 7, eabc0444
2021
-
[31]
2014, , 568, A42
Kataoka , A., Okuzumi , S., Tanaka , H., & Nomura , H. 2014, , 568, A42
2014
-
[32]
2001, , 322, 231
Kroupa , P. 2001, , 322, 231
2001
-
[33]
2024, , 692, A45
Kuwahara , A., Lambrechts , M., Kurokawa , H., Okuzumi , S., & Tanigawa , T. 2024, , 692, A45
2024
-
[34]
L., et al
Labdon , A., Kraus , S., Davies , C. L., et al. 2021, , 646, A102
2021
-
[35]
& Johansen , A
Lambrechts , M. & Johansen , A. 2012, , 544, A32
2012
-
[36]
A., et al
Lambrechts , M., Morbidelli , A., Jacobson , S. A., et al. 2019, , 627, A83
2019
-
[37]
2022, , 668, A175
Liu , Y., Linz , H., Fang , M., et al. 2022, , 668, A175
2022
-
[38]
M., Rosotti , G., et al
Long , F., Andrews , S. M., Rosotti , G., et al. 2022, , 931, 6
2022
-
[39]
Mamajek , E. E. 2009, in American Institute of Physics Conference Series, Vol. 1158, Exoplanets and Disks: Their Formation and Diversity, ed. T. Usuda , M. Tamura , & M. Ishii , 3--10
2009
-
[40]
C., & Kataoka , A
Miotello , A., Kamp , I., Birnstiel , T., Cleeves , L. C., & Kataoka , A. 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 , 501
2023
-
[41]
2019, , 872, 98
Mori , S., Bai , X.-N., & Okuzumi , S. 2019, , 872, 98
2019
-
[42]
J., J rgensen , J
Ohashi , N., Tobin , J. J., J rgensen , J. K., et al. 2023, , 951, 8
2023
-
[43]
W., Liu , B., & Schoonenberg , D
Ormel , C. W., Liu , B., & Schoonenberg , D. 2017, , 604, A1
2017
-
[44]
J., et al
Pascucci , I., Testi , L., Herczeg , G. J., et al. 2016, , 831, 125
2016
-
[45]
Picogna , G., Ercolano , B., & Espaillat , C. C. 2021, , 508, 3611
2021
-
[46]
T., & Stammler , S
Pinilla , P., Lenz , C. T., & Stammler , S. M. 2021, , 645, A70
2021
-
[47]
Pringle , J. E. 1981, , 19, 137
1981
-
[48]
2010, , 512, A15
Ricci , L., Testi , L., Natta , A., et al. 2010, , 512, A15
2010
-
[49]
2012, , 540, A6
Ricci , L., Trotta , F., Testi , L., et al. 2012, , 540, A6
2012
-
[50]
P., Booth , R
Rosotti , G. P., Booth , R. A., Tazzari , M., et al. 2019, , 486, L63
2019
-
[51]
2020, , 633, A114
Sanchis , E., Testi , L., Natta , A., et al. 2020, , 633, A114
2020
-
[52]
Shakura , N. I. & Sunyaev , R. A. 1973, , 24, 337
1973
-
[53]
D., Tobin , J
Sheehan , P. D., Tobin , J. J., Li , Z.-Y., et al. 2022, , 934, 95
2022
-
[54]
M., Lichtenberg , T., Dr a \.z kowska , J., & Birnstiel , T
Stammler , S. M., Lichtenberg , T., Dr a \.z kowska , J., & Birnstiel , T. 2023, , 670, L5
2023
-
[55]
Z., Inutsuka , S.-i., & Machida , M
Takahashi , S. Z., Inutsuka , S.-i., & Machida , M. N. 2013, , 770, 71
2013
-
[56]
2024, , 964, 24
Takakuwa , S., Saigo , K., Kido , M., et al. 2024, , 964, 24
2024
-
[57]
Tanaka , Y. A. & Tsukamoto , Y. 2019, , 484, 1574
2019
-
[58]
J., Testi , L., et al
Tazzari , M., Clarke , C. J., Testi , L., et al. 2021, , 506, 2804
2021
-
[59]
J., Sheehan , P
Tobin , J. J., Sheehan , P. D., Megeath , S. T., et al. 2020, , 890, 130
2020
-
[60]
M., Birnstiel , T., & Wilner , D
Tripathi , A., Andrews , S. M., Birnstiel , T., & Wilner , D. J. 2017, , 845, 44
2017
-
[61]
2024, , 684, A36
Tung , N.-D., Testi , L., Lebreuilly , U., et al. 2024, , 684, A36
2024
-
[62]
F., Rosotti , G
Tychoniec , ., Manara , C. F., Rosotti , G. P., et al. 2020, , 640, A19
2020
-
[63]
& Mulders , G
van der Marel , N. & Mulders , G. D. 2021, , 162, 28
2021
-
[64]
Villenave , M., M \'e nard , F., Dent , W. R. F., et al. 2021, , 653, A46
2021
-
[65]
Weidenschilling , S. J. 1977, , 180, 57
1977
-
[66]
A., Wood , K., Bjorkman , J
Whitney , B. A., Wood , K., Bjorkman , J. E., & Cohen , M. 2003, , 598, 1079
2003
-
[67]
J., Clarke , C
Winter , A. J., Clarke , C. J., Rosotti , G., et al. 2018, , 478, 2700
2018
-
[68]
2016, , 586, A103
Woitke , P., Min , M., Pinte , C., et al. 2016, , 586, A103
2016
-
[69]
& Bai , X.-N
Yang , H. & Bai , X.-N. 2021, , 922, 201
2021
-
[70]
2019, , 877, L18
Zhu , Z., Zhang , S., Jiang , Y.-F., et al. 2019, , 877, L18
2019
-
[71]
P., & Andrews , S
Zormpas , A., Birnstiel , T., Rosotti , G. P., & Andrews , S. M. 2022, , 661, A66
2022
Reviewed August 10, 2026 · model on record in the stance chip above.
Discussion (0). Continue with ORCID to comment.