REVIEW 4 major objections 5 minor 1 cited by
Chronology of Episodic Accretion in Protostars -- an ALMA survey of the CO and H$_2$O snowlines
T0 review · 4 major / 5 minor · reviewed 2026-08-14 · deepseek-v4-flash
Pith's one-line read This paper argues that protostars accrete in bursts roughly every 2,400 years early on, slowing to every 8,000 years as they evolve.
desk verdict A large, careful snowline survey that makes the first statistical claim of declining burst frequency from Class 0 to I, but the trend rests on a small HCO+ subsample and a no-disk model, with the authors' own caveat that disk growth would erase it. 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 machinery is the chemical snowline fossil: N2H+ (1-0) emission is destroyed by gas-phase CO and therefore peaks just outside the CO sublimation front, while HCO+ (3-2) is destroyed by gas-phase H2O and peaks just outside the H2O snowline. Comparing the observed peak radii with the peak radii predicted by the companion radiation-transfer and chemical model grid (MHW19) for a given central luminosity turns a spatial offset into an estimate of the luminosity of the last accretion burst. The two molecules act as complementary stopwatches because CO refreezes in about 10,000 years and H2O in about 1,000 years at envelope densities, so a source showing an HCO+ fossil indicates a burst within the last millennium, an N2H+ fossil only indicates one within the last 10,000 years, and neither brackets the time since the last burst. The analysis adopts a rotationally flattened envelope without a disk, which makes the estimated burst luminosities lower limits and is the factor most likely to bias the Class 0 versus Class I comparison. Two sources independently thought to be bursting now, Per-emb-27 and Per-emb-44, fall near the model curve and serve as rough calibrators.
What would settle it
Measure disk radii and masses in the same 39 Perseus targets with long-baseline ALMA continuum and recompute the predicted snowline radii using disk-inclusive models; if Class I disks turn out to be systematically denser or larger and the disk models bring the Class I post-burst fractions up to the Class 0 level without any change in burst frequency, the chronological claim fails.
Extended reading notes
Core claim
The central claim is that the burst frequency of episodic accretion declines as protostars evolve: the intervals between accretion bursts increase from about 2,400 years in the Class 0 stage to about 8,000 years in the Class I stage, under the assumption of refreeze-out timescales of 1,000 years for H2O and 10,000 years for CO. The evidence comes from a statistical comparison of measured N2H+ and HCO+ peak radii with radiative-transfer and chemical models of a rotationally flattened envelope at different luminosities: sources whose snowlines lie farther out than the current bolometric luminosity can explain are classified as post-burst. The survey identifies burst-fossil sources at rates of 100 percent (18 of 18) in Class 0 and 90 percent (9 of 10) in Class I from N2H+, and 58 percent (7 of 17) in Class 0 versus 20 percent (1 of 8) in Class I from HCO+. The authors explicitly note the rival interpretation that disk growth from Class 0 to Class I shrinks the inferred snowline radius, which would mimic a decline in burst frequency; they therefore frame the chronological result as conditional on comparable envelope structure across stages. They also derive burst luminosities of about 10 to 100 solar luminosities and estimate that bursts deliver a total of roughly 0.1 to 0.3 solar masses, leaving most of the final stellar mass to be accreted quiescently or in rare super-bursts.
Load-bearing premise
The load-bearing premise is that Class 0 and Class I envelopes have similar density structure, so the smaller snowline radii in Class I sources reflect a longer time since the last burst rather than a larger or denser disk shielding the envelope from the central star's radiation.
Editorial extensions
If this is right
- If the burst interval truly grows from about 2,400 years in Class 0 to about 8,000 years in Class I, a protostar experiences roughly 63 to 100 bursts in the Class 0 phase and 39 to 60 bursts in the Class I phase, implying disk fragmentation is far more vigorous in the earliest embedded stage.
- The burst-phase accretion rate is about (7.6 to 16.2) x 10^-6 solar masses per year and appears roughly constant across stages, so the evolution is in burst frequency rather than burst strength.
- Bursts deliver only about 0.1 to 0.3 solar masses total, which is less than the typical 0.3 to 0.5 solar mass star; the remainder must be accreted during quiescence or in rare FU-Orionis-type super-bursts.
- The inferred burst duration of about 120 years (a 5 percent duty cycle at Class 0) matches the 100 to 200 year durations predicted by gravitational-instability simulations.
- A declining burst frequency supports the picture in which gravitational instability is sustained by the high infall rates and cold disk conditions of the earliest embedded phase.
Reading between the lines
- If disk evolution rather than a lower burst frequency explains the Class I deficit, then high-resolution images of Class I disks should show systematically larger or denser disks than Class 0 disks; current ALMA surveys could test this directly by measuring disk radii and masses in the same sample.
- The chronology implies a testable luminosity distribution: Class 0 samples should contain a higher fraction of currently bursting, high-luminosity objects than Class I samples, something wide-field time-domain surveys could check statistically.
- Because the two tracers bracket the time since the last burst, tallying sources with an N2H+ fossil but no HCO+ fossil gives a direct histogram of burst intervals rather than just an average; extending this binning to a larger sample would sharpen the 2,400 versus 8,000 year numbers.
- The result suggests that inner-disk material is repeatedly heated and cooled during the Class 0 phase, so chemical models of complex organic molecule formation should incorporate burst frequencies that decline with time rather than a constant rate.
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. This paper presents ALMA observations of N2H+ (1−0) and HCO+ (3−2) toward 39 Class 0 and Class I protostars in Perseus. The observed emission-peak radii are compared with the no-disk MHW19 radiative/chemical model to map radii to luminosities; sources with inferred past-burst luminosity exceeding the current bolometric luminosity are classified as post-burst. The authors report that 18/18 Class 0 and 9/10 Class I sources show CO-snowline (N2H+) post-burst signatures, while 7/17 Class 0 and 1/8 Class I show H2O-snowline (HCO+) signatures when requiring Lburst > 10 L⊙. They conclude that the interval between bursts increases from ~2,400 yr in Class 0 to ~8,000 yr in Class I, with burst luminosities of ~10–100 L⊙ and burst-phase mass accretion rates of ~(7.6–16.2)×10−6 M⊙ yr−1, and use these to estimate the accumulated mass during the embedded phase. The paper explicitly acknowledges that the frequency decline could instead reflect disk growth and shielding if Class I disks are denser/larger.
Significance. If the chronological trend is robust, this survey would be the first statistical evidence that episodic accretion becomes less frequent as protostars evolve from Class 0 to Class I, directly informing models of disk gravitational instability and the mass assembly history of Sun-like stars. Strengths of the paper include the relatively large ALMA sample within a single cloud, the use of two chemical tracers with complementary refreeze-out timescales, explicit tabulation of per-source uncertainties, and unusually candid discussion of model caveats. The analysis is not machine-checked, but the data tables and figures are sufficiently detailed to reproduce the statistical statements. However, the central claim is currently conditional on the no-disk model and on the HCO+ subsample, and the paper's own caveats indicate that the evolutionary interpretation is one of two viable readings.
major comments (4)
- [§5.2.1, Fig. 8] The headline interval increase (2,400 yr to 8,000 yr) is derived only from the HCO+ subsample with Lburst > 10 L⊙ (7/17 Class 0 vs 1/8 Class I), while the N2H+ subsample at the same threshold yields 56±24% vs 50±25%, i.e., no significant difference. The paper presents the HCO+-based decline as the central chronological conclusion without a statistical significance test against the null hypothesis of equal fractions, and the authors' own numbers imply the CO-snowline tracer does not corroborate the claim. Please perform an explicit two-sample test (e.g., Fisher's exact test) on the 2×2 tables and report the resulting p-values for both tracers, and discuss the implications if the N2H+ data are consistent with no evolution.
- [§5.2.1 and §4.2] The paper's own caveat in §5.2.1 — that a denser/larger Class I disk would shrink the HCO+ peak and erase the burst-frequency decline — directly undermines the central claim because the adopted model is the no-disk MHW19 model (§4.2). Figure 6 shows a disk model shifts the Lburst–radius relation to higher luminosity, but the disk model is not quantified or applied to the sample. Without a quantitative demonstration that disk growth between Class 0 and Class I is negligible (e.g., by varying disk parameters in the model), the observed Class 0/I difference in HCO+ peak radii remains fully consistent with disk evolution rather than a change in burst frequency.
- [§4.4.2] The model's CO binding energy is set to 1307 K specifically to match the two currently bursting sources, Per-emb-27 and Per-emb-44, and the same model is then used to derive Lburst for every other source. Because the text also notes the binding energy is degenerate with the density structure, this calibration does not provide an independent test of the model; any resulting error in the temperature–radius mapping propagates directly into the post-burst classifications and the derived burst intervals. The fact that MHW19 is unpublished further prevents the reader from assessing the sensitivity of the conclusions to this calibration and to the disk variant.
- [§4.3 and §5.2.1] Sources whose measured peak radius falls below the half-beam size are classified as non-post-burst and assigned an upper-limit Lburst, and for Class I this includes most of the HCO+ sample (seven of eight non-post-burst sources). Since the inferred post-burst fraction depends entirely on the treatment of these unresolved sources, the derived 8,000-yr interval is not robust to the exact threshold used or to the placement of upper limits; a survival-analysis treatment that includes upper limits as censored data would provide a more defensible estimate of the Class I burst interval.
minor comments (5)
- [Abstract and §4.3/§5.2.1] The abstract reports the HCO+ fractions 7/17 and 1/8 without stating that these correspond to the Lburst > 10 L⊙ criterion; §4.3 initially reports 10/17 and 2/10 using Lburst > Lbol. Please state the criterion explicitly in the abstract or in Table 3 to avoid ambiguity.
- [Figure 6 caption] The caption reads "The dark and light blue area represent a range"; it should be "areas represent".
- [§4.2] The sentence "MHW19 have built a grid" should read "MHW19 has built" (or "Murillo et al., in prep., have built").
- [§5.2.1] The phrase "the intervals between bursts increases" should be "increase" for subject-verb agreement.
- [Equation (1)] The refreeze-out timescale formula in §5.2.1 is not numbered; please number it so that it can be referenced in the text and in the discussion.
Circularity Check
No significant circularity: the burst-frequency trend is an observed count difference, not a fit or self-citation reduction.
full rationale
The paper's central claim—that the inter-burst interval grows from ~2400 yr in Class 0 to ~8000 yr in Class I—is derived as T = tau_fr / f, where f is the observed fraction of post-burst sources (7/17 vs 1/8 for HCO+ with Lburst > 10 Lsun) and tau_fr is the assumed H2O refreeze-out time of 1000 yr. This is a standard statistical conversion, not a fit to the claim. The post-burst classification compares measured HCO+/N2H+ peak radii against the MHW19 no-disk model; the binding-energy parameters are chosen to match the two independent burst-phase calibrators Per-emb-27 and 44, which are then excluded from the statistical comparison. The Class 0-to-I trend is an observational count difference and is not encoded in the model, so it can be falsified; indeed, the authors explicitly note that a denser or larger Class I disk would erase the trend. The reliance on the in-prep MHW19 model and the calibration of binding energies are reproducibility and model-dependence concerns, but they do not make the derivation circular: Lburst is inferred from independently measured peak radii, not from the target conclusion, and the refreeze-out times are assumed inputs, not outputs. No equation in the paper reduces the claimed result to a fitted parameter or to a self-citation chain.
Assumptions & free parameters
free parameters (5)
- CO binding energy (sublimation temperature) =
1307 K (T_sub ~ 25 K)
- Biconical mask opening angle (per source) =
35-85 degrees (source-dependent)
- Fiducial inclination angle =
45 degrees (uncertainty range 25-75)
- H2O refreeze-out timescale =
1000 yr
- CO refreeze-out timescale =
10,000 yr
assumptions (6)
- domain assumption N2H+ emission is destroyed by gas-phase CO, so its peak radius traces the CO snowline.
- domain assumption HCO+ emission is destroyed by gas-phase H2O, so its peak radius traces the H2O snowline.
- domain assumption The observed snowline radius is set by the last burst and has not yet refrozen inward.
- domain assumption The no-disk Ulrich envelope model is an adequate representation for all sources.
- domain assumption The current bolometric luminosity Lbol represents the quiescent luminosity, and Lburst > Lbol implies a past burst.
- domain assumption Per-emb-27 and Per-emb-44 are in the burst phase, so their current luminosity sets the snowline radii used for calibration.
Cite this review
Pith. "Pith review of Chronology of Episodic Accretion in Protostars -- an ALMA survey of the CO and H$_2$O snowlines." pith.science (2026). https://pith.science/paper/YDKYNFS7
@misc{pith2026190902706,
author = {Pith},
title = {Pith review of: Chronology of Episodic Accretion in Protostars -- an ALMA survey of the CO and H$_2$O snowlines},
year = {2026},
howpublished = {\url{https://pith.science/paper/YDKYNFS7}},
note = {Machine review of arXiv:1909.02706}
}
abstract
Episodic accretion has been used to explain the wide range of protostellar luminosities, but its origin and influence on the star forming process are not yet fully understood. We present an ALMA survey of N$_2$H$^+$ ($1-0$) and HCO$^+$ ($3-2$) toward 39 Class 0 and Class I sources in the Perseus molecular cloud. N$_2$H$^+$ and HCO$^+$ are destroyed via gas-phase reactions with CO and H$_2$O, respectively, thus tracing the CO and H$_2$O snowline locations. A snowline location at a much larger radius than that expected from the current luminosity suggests that an accretion burst has occurred in the past which has shifted the snowline outward. We identified 18/18 Class 0 and 9/10 Class I post-burst sources from N$_2$H$^+$, and 7/17 Class 0 and 1/8 Class I post-burst sources from HCO$^+$.The accretion luminosities during the past bursts are found to be $\sim10-100~L_\odot$. This result can be interpreted as either evolution of burst frequency or disk evolution. In the former case, assuming that refreeze-out timescales are 1000 yr for \ce{H2O} and 10,000 yr for CO, we found that the intervals between bursts increases from 2400 yr in the Class 0 to 8000 yr in the Class I stage. This decrease in the burst frequency may reflect that fragmentation is more likely to occur at an earlier evolutionary stage when the young stellar object is more prone to instability.
Figures
Figures from the paper (4 more)
Forward citations
Cited by 1 Pith paper
-
Hot water emission during an outburst on a classical T Tauri star
V557 Mon, a classical T Tauri star, underwent a year-long EXor outburst during which transient hot water vapor emission traced an inner disk cooling from about 3000 K to 2000 K.
Reference graph
Works this paper leans on
-
[1]
J.\ 2007, , 462, L17
Alves, J., Lombardi, M., & Lada, C. J.\ 2007, , 462, L17
2007
-
[2]
2004, , 419, L39
\' A brah\' a m, P., K\' o sp\' a l, \' A ., Csizmadia, S., et al. 2004, , 419, L39
2004
-
[3]
A., Kun, M., \' A brah\' a m, P., et al
Acosta-Pulido, J. A., Kun, M., \' A brah\' a m, P., et al. 2007, , 133, 2020
2007
-
[4]
2016, , 591, A3
Anderl, S., Maret, S., Cabrit, S., et al. 2016, , 591, A3
2016
-
[5]
M., Rothberg, B., & Simon, T
Andrews, S. M., Rothberg, B., & Simon, T. 2004, , 610, L45
2004
-
[6]
L., et al
Aspin, C., Reipurth, B., Beck, T. L., et al. 2009, , 692, L67
2009
-
[7]
2017 , 850, 2
Aso, Y., Ohashi, N., Aikawa, Y., et al. 2017 , 850, 2
2017
-
[8]
P., Tollerud, E
Astropy Collaboration, Robitaille, T. P., Tollerud, E. J., et al.\ 2013, Astronomy and Astrophysics, 558, A33
2013
Show all 150 references
-
[9]
J., Livio, M.,& Pringle J
Armitage, P. J., Livio, M.,& Pringle J. E. 2001, , 324, 705
2001
-
[10]
M., et al.\ 2014, arXiv: 1401.3368
Audard, M., \' A brah\' a m, P., Dunham, M. M., et al.\ 2014, arXiv: 1401.3368
2014 arXiv
-
[11]
Banzatti, A., Pinilla, P., Ricci, L., et al.\ 2015, , 815, L15
2015
-
[12]
R.,& Lin, D
Bell, K. R.,& Lin, D. N. C. 1994, , 427, 987
1994
-
[13]
2004, , 418, L35
Belloche, A., & Andr\' e , P. 2004, , 418, L35
2004
-
[14]
Bianchi, E., Codella, C., Ceccarelli, C., et al.\ 2019, , 483, 1850
2019
-
[15]
E., Fraser, H
Bisschop, S. E., Fraser, H. J., \"O berg, K. I., et al.\ 2006, , 449, 1297
2006
-
[16]
K., Bergin, E
Bjerkeli, P., Jørgensen, J. K., Bergin, E. A., et al. 2016, , 595, 39
2016
-
[17]
C.,& Durisen, R
Boley, A. C.,& Durisen, R. H. 2008, , 685, 1193
2008
-
[18]
2011, , 526, L1
Caratti o Garatti, A., Garcia Lopez, R., Scholz, A., et al. 2011, , 526, L1
2011
-
[19]
2016, NatPh, 13, 276
Caratti o Garatti, A., Stecklum, B., Garcia Lopez, R., et al. 2016, NatPh, 13, 276
2016
-
[20]
T., Y ld z, U
Carney, M. T., Y ld z, U. A., Mottram, J. C., et al. 2016, , 586, A44
2016
-
[21]
W., & Tobin, J
Chiang, H.-F., Looney, L. W., & Tobin, J. J. 2012, , 756, 168
2012
-
[22]
A., Casassus, S., Tobin, J., et al.\ 2016, , 535, 258
Cieza, L. A., Casassus, S., Tobin, J., et al.\ 2016, , 535, 258
2016
-
[23]
J., & Syer, D., 1996, , 278, L23
Clarke, C. J., & Syer, D., 1996, , 278, L23
1996
-
[24]
J., Gueth, F., et al.\ 2014, , 563, L3
Codella, C., Maury, A. J., Gueth, F., et al.\ 2014, , 563, L3
2014
-
[25]
I., Bergin, E
Cleeves, L. I., Bergin, E. A., Alexander, C. M. O., et al. 2014, Science, 345, 1590
2014
-
[26]
P., Dever, J
Collings, M. P., Dever, J. W., Fraser, H. J., et al.\ 2003, , 583, 1058
2003
-
[27]
P., Anderson, M
Collings, M. P., Anderson, M. A., Chen, R., et al.\ 2004, , 354, 1133
2004
-
[28]
Contreras Pe \ n a, C., Naylor, T., & Morrell, S.\ 2019, , 486, 4590
2019
-
[29]
R., Hillenbrand, L
Covey, K. R., Hillenbrand, L. A., Miller, A. A., et al. 2011, , 141, 40
2011
-
[30]
J., Scholz, P., Lucas, P., Smith, M
Davis, C. J., Scholz, P., Lucas, P., Smith, M. D., & Adamson, A.\ 2008, , 387, 954
2008
-
[31]
De Simone, M., Codella, C., Testi, L., et al.\ 2017, , 599, A121
2017
-
[32]
M., Evans, N
Dunham, M. M., Evans, N. J., Bourke, T. L., et al.\ 2010, , 721, 995
2010
-
[33]
P., Juhasz, A., Pohl, A., et al.\ 2012, RADMC-3D: A multi-purpose radiative transfer tool, ascl:1202.015
Dullemond, C. P., Juhasz, A., Pohl, A., et al.\ 2012, RADMC-3D: A multi-purpose radiative transfer tool, ascl:1202.015
2012
- [34]
-
[35]
M., Allen, L
Dunham, M. M., Allen, L. E., Evans, N. J., II, et al.\ 2015, , 220, 11
2015
-
[36]
G., Vorobyov, E
Elbakyan, V. G., Vorobyov, E. I., & Glebova, G. M.\ 2016, Astronomy Reports, 60, 879
2016
-
[37]
J., II, Dunham, M
Evans, N. J., II, Dunham, M. M., J rgensen, J. K., et al. 2009, , 181, 321
2009
-
[38]
L., Evans, N
Enoch, M. L., Evans, N. J, II, Sargent, A. I., & Glenn, J. 2009, , 692, 973
2009
-
[39]
C., Balfe, J., Loomis, R., et al
Fayolle, E. C., Balfe, J., Loomis, R., et al. 2016, , 816, L28
2016
-
[40]
E., Petr-Gotzens, M
Fedele, D., van den Ancker, M. E., Petr-Gotzens, M. G., & Rafanelli, P. 2007, , 472, 207
2007
-
[41]
R.\ 1999, , 305, 651
Flower, D. R.\ 1999, , 305, 651
1999
-
[42]
2010, , 402, 1349
Forgan, D., & Rice, K. 2010, , 402, 1349
2010
-
[43]
J., Collings, M
Fraser, H. J., Collings, M. P., McCoustra, M. R. S., et al.\ 2001, , 327, 1165
2001
-
[44]
K., Dunham, M
Frimann, S., J rgensen, J. K., Dunham, M. M., et al.\ 2017, , 602, A120
2017
-
[45]
Gaches, B. A. L., Offner, S. S. R., & Bisbas, T. G.\ 2019, , 878, 105
2019
-
[46]
Green, S.\ 1975, , 201, 366
1975
-
[47]
Hartmann, L., & Kenyon, S. J. 1996, ARA&A, 34, 207
1996
-
[48]
Herbig, G. H. 1966, Vistas Astron., 8, 109
1966
-
[49]
Herbig, G. H. 1977, , 217, 693
1977
-
[50]
J., Johnstone, D., Mairs, S., et al.\ 2017, , 849, 43
Herczeg, G. J., Johnstone, D., Mairs, S., et al.\ 2017, , 849, 43
2017
-
[51]
A., & Findeisen, K
Hillenbrand, L. A., & Findeisen, K. P.\ 2015, , 808, 68
2015
-
[52]
D.\ 2007, Computing in Science and Engineering, 9, 90
Hunter, J. D.\ 2007, Computing in Science and Engineering, 9, 90
2007
-
[53]
2013, , 205, 5
Hsieh, T.-H., & Lai, S.-P. 2013, , 205, 5
2013
-
[54]
2016, , 826, 68
Hsieh, T.-H., Lai, S.-P., Belloche, A., & Wyrowski, F. 2016, , 826, 68
2016
-
[55]
2017, , 153, 173
Hsieh, T.-H., Lai, S.-P., & Belloche, A. 2017, , 153, 173
2017
-
[56]
M., Belloche, A., et al
Hsieh, T.-H., Murillo, N. M., Belloche, A., et al. 2018, , 854, 15
2018
-
[57]
Hsieh, T.-H., Hirano, N., Belloche, A., et al.\ 2019, , 871, 100
2019
-
[58]
K., Sch \"o ier, F
J rgensen, J. K., Sch \"o ier, F. L., & van Dishoeck, E. F. 2004, A&A, 416, 603
2004
-
[59]
K., Visser, R., Sakai, N., et al.\ 2013, , 779, L22
J rgensen, J. K., Visser, R., Sakai, N., et al.\ 2013, , 779, L22
2013
-
[60]
K., Visser, R., Williams, J
J rgensen, J. K., Visser, R., Williams, J. P., & Bergin, E. A. 2015, , 579, A23
2015
-
[61]
J., Mairs, S., et al.\ 2018, , 854, 31
Johnstone, D., Herczeg, G. J., Mairs, S., et al.\ 2018, , 854, 31
2018
-
[62]
J., Evans, N
Kim, H. J., Evans, N. J., II, Dunham, M. M., et al. 2011, , 729, 84
2011
-
[63]
J., Evans, N
Kim, H. J., Evans, N. J., II, Dunham, M. M., Lee, J.-E., & Pontoppidan, K. M. 2012, , 758, 38
2012
-
[64]
2007, , 470, 211
K\' o sp\' a l, \' A ., \' A brah\' a m, P., Prusti, T., et al. 2007, , 470, 211
2007
-
[65]
A., et al
K\' o sp\' a l, \' A ., \' A brah\' a m, P., Acosta-Pulido, J. A., et al. 2011, , 527, A133
2011
-
[66]
M., Matzner, C
Kratter, K. M., Matzner, C. D., & Krumholz, M. R.\ 2008, , 681, 375
2008
-
[67]
M., Matzner, C
Kratter, K. M., Matzner, C. D., Krumholz, M. R., et al.\ 2010, , 708, 1585
2010
-
[68]
M., & Murray-Clay, R
Kratter, K. M., & Murray-Clay, R. A.\ 2011, , 740, 1
2011
-
[69]
Kratter, K., & Lodato, G.\ 2016, , 54, 271
2016
-
[70]
R., Bate, M
Krumholz, M. R., Bate, M. R., Arce, H. G., et al. 2014, Protostars and Planets VI, 234
2014
-
[71]
T., Gutermuth, R
Kryukova, E., Megeath, S. T., Gutermuth, R. A., et al. 2012, , 144,31
2012
-
[72]
W., Mundy, L
Kwon, W., Looney, L. W., Mundy, L. G., Chiang, H.-F., & Kemball, A. J. 2009, , 696, 841
2009
-
[73]
Lin, D. N. C., Faulkner, J.,& Papaloizou J. 1985, , 212, 105
1985
-
[74]
B., Takami, M., Kudo, T., et al
Liu, H. B., Takami, M., Kudo, T., et al. 2016, Science Advances, 2, e1500875
2016
-
[75]
B., Dunham, M
Liu, H. B., Dunham, M. M., Pascucci, I., et al.\ 2018, , 612, A54
2018
-
[76]
Liu, S.-Y., Su, Y.-N., Zinchenko, I., Wang, K.-S., & Wang, Y.\ 2018, , 863, L12
2018
-
[77]
Lee, J.-E.\ 2007, Journal of Korean Astronomical Society, 40, 83
2007
-
[78]
I., Dunham, M
Lee, K. I., Dunham, M. M., Myers, P. C., et al.\ 2015, , 814, 114
2015
-
[79]
I., Dunham, M
Lee, K. I., Dunham, M. M., Myers, P. C., et al.\ 2016, , 820, L2
2016
-
[80]
Lee, C.-F., Li, Z.-Y.,Ho, P. T. P., et al. 2017, , 843, 1
2017
-
[81]
2018, , 863,94
Lee, C.-F., Li,, Z.-Y., Hirano, N., et al. 2018, , 863,94
2018
-
[82]
J., et al.\ 2017, , 604, L1
Lef \`e vre, C., Cabrit, S., Maury, A. J., et al.\ 2017, , 604, L1
2017
-
[83]
J., 2004, , 353, 841
Lodato, G., & Clarke, C. J., 2004, , 353, 841
2004
-
[84]
N., Inutsuka, S.-i., & Matsumoto, T.\ 2011, , 729, 42
Machida, M. N., Inutsuka, S.-i., & Matsumoto, T.\ 2011, , 729, 42
2011
-
[85]
N., Matsumoto, T., & Inutsuka, S.-i.\ 2016, , 463, 4246
Machida, M. N., Matsumoto, T., & Inutsuka, S.-i.\ 2016, , 463, 4246
2016
-
[86]
J., et al.\ 2014, , 563, L1
Maret, S., Belloche, A., Maury, A. J., et al.\ 2014, , 563, L1
2014
-
[87]
Mauersberger, R., & Henkel, C.\ 1991, , 245, 457
1991
-
[88]
J., Belloche, A., Andr \'e , P., et al.\ 2014, , 563, L2
Maury, A. J., Belloche, A., Andr \'e , P., et al.\ 2014, , 563, L2
2014
-
[89]
J., Andr \'e , P., Testi, L., et al.\ 2019, , 621, A76
Maury, A. J., Andr \'e , P., Testi, L., et al.\ 2019, , 621, A76
2019
-
[90]
P., Waters, B., Schiebel, D., et al.\ 2007, Astronomical Data Analysis Software and Systems XVI, 127
McMullin, J. P., Waters, B., Schiebel, D., et al.\ 2007, Astronomical Data Analysis Software and Systems XVI, 127
2007
-
[91]
J., et al
McElroy, D., Walsh, C., Markwick, A. J., et al. 2013, , 550, A36
2013
- [92]
-
[93]
A., Lada, E
Muench, A. A., Lada, E. A., Lada, C. J., et al.\ 2002, , 573, 366
2002
-
[94]
M., & Lai, S.-P
Murillo, N. M., & Lai, S.-P. 2013, , 764, L15
2013
-
[95]
M., Bruderer, S., van Dishoeck, E
Murillo, N. M., Bruderer, S., van Dishoeck, E. F., et al. 2015, , 579, A114
2015
-
[96]
M., van Dishoeck, E
Murillo, N. M., van Dishoeck, E. F., Tobin, J. J., et al.\ 2016, , 592, A56
2016
-
[97]
A., Congiu, E., Dulieu, F., & Fraser, H
Noble, J. A., Congiu, E., Dulieu, F., & Fraser, H. J. 2012, MNRAS, 421, 768
2012
-
[98]
Offner S. S. R., Klein R. I., McKee C. F., & Krumholz M. R., 2009, , 703, 131
2009
-
[99]
Offner S. S. R., & McKee C. F. 2011, , 736, 53
2011
-
[100]
Offner, S. S. R., Robitaille, T. P., Hansen, C. E., et al.\ 2012, , 753, 98
2012
-
[101]
Offner, S. S. R., Dunham, M. M., Lee, K. I., Arce, H. G., & Fielding, D. B. 2016, , 827, L11
2016
-
[102]
2014, , 796, 131
Ohashi, N., Saigo, K., Aso, Y., et al. 2014, , 796, 131
2014
-
[103]
N., Loinard, L., Dzib, S
Ortiz-Le \'o n, G. N., Loinard, L., Dzib, S. A., et al.\ 2018, , 865, 73
2018
-
[104]
Padoan, P., Haugb lle, T., & Nordlund, A .\ 2014, , 797, 32
2014
-
[105]
Padovani, M., Marcowith, A., Hennebelle, P., et al.\ 2016, , 590, A8
2016
-
[106]
2010, Sci, 329, 1622
Pagani, L., Steinacker, J., Bacmann, A., Stutz, A., & Henning, T. 2010, Sci, 329, 1622
2010
-
[107]
L., Arce, H
Plunkett, A. L., Arce, H. G., Corder, S. A., et al.\ 2013, , 774, 22
2013
-
[108]
Reg \'a ly, Z., & Vorobyov, E.\ 2017, , 601, A24
2017
-
[109]
A., Francesco, J
Ridge, N. A., Francesco, J. D., Kirk, H., et al. 2006, , 131, 2921
2006
-
[110]
Riaz, R., Vanaverbeke, S., & Schleicher, D. R. G.\ 2018, , 614, A53
2018
-
[111]
P., Whitney, B
Robitaille, T. P., Whitney, B. A., Indebetouw, R., et al.\ 2006, , 167, 256
2006
-
[112]
Robitaille, T., & Bressert, E.\ 2012, APLpy: Astronomical Plotting Library in Python, ascl:1208.017
2012
-
[113]
F., Walch, S., Seifried, D., et al.\ 2019, , 483, 2563
Rohde, P. F., Walch, S., Seifried, D., et al.\ 2019, , 483, 2563
2019
-
[114]
J., Fischer, W
Safron, E. J., Fischer, W. J., Megeath, S. T., et al. 2015, , 800, L5
2015
-
[115]
A., & Allamondola, L
Sandford, S. A., & Allamondola, L. J. 1993, ApJ, 417, 815
1993
-
[116]
Schnee, S., Sadavoy, S., Di Francesco, J., Johnstone, D., & Wei, L.\ 2012, , 755, 178
2012
-
[117]
2013, MNRAS, 430, 2910
Scholz, A., Froebrich, D., & Wood, K. 2013, MNRAS, 430, 2910
2013
-
[118]
M., Looney, L
Segura-Cox, D. M., Looney, L. W., Tobin, J. J., et al.\ 2018, , 866, 161
2018
-
[119]
L., van der Tak, F
Sch \"o ier, F. L., van der Tak, F. F. S., van Dishoeck, E. F., & Black, J. H.\ 2005, , 432, 369
2005
-
[120]
P., & Hubber, D
Stamatellos, D., Whitworth, A. P., & Hubber, D. A. 2011, , 730, 32
2011
-
[121]
P., & Hubber, D
Stamatellos, D., Whitworth, A. P., & Hubber, D. A. 2012, , 427, 1182
2012
-
[122]
W., Dunham, M
Stephens, I. W., Dunham, M. M., Myers, P. C., et al.\ 2018, , 237, 22
2018
-
[123]
Taquet, V., L \'o pez-Sepulcre, A., Ceccarelli, C., et al.\ 2015, , 804, 81
2015
-
[124]
S.,& Charnley S
Taquet V., Wirstr\'' o m E. S.,& Charnley S. B., 2016, ApJ, 821, 46
2016
-
[125]
B., et al.\ 2018, , 864, 20
Takami, M., Fu, G., Liu, H. B., et al.\ 2018, , 864, 20
2018
-
[126]
J., Hartmann, L., Chiang, H.-F., et al
Tobin, J. J., Hartmann, L., Chiang, H.-F., et al. 2012a, , 492, 83
-
[127]
J., Dunham, M
Tobin, J. J., Dunham, M. M., Looney, L. W., et al.\ 2015, , 798, 61
2015
-
[128]
J., Looney, L
Tobin, J. J., Looney, L. W., Li, Z.-Y., et al. 2016, , 818, 73
2016
-
[129]
J., Looney, L
Tobin, J. J., Looney, L. W., Li, Z.-Y., et al.\ 2018, , 867, 43
2018
-
[130]
N., Hosokawa, T., Sakurai, Y., & Lin, C
Tomida, K., Machida, M. N., Hosokawa, T., Sakurai, Y., & Lin, C. H.\ 2017, , 835, L11
2017
-
[131]
Ulrich, R. K. 1976, , 210, 377
1976
-
[132]
van 't Hoff, M. L. R., Walsh, C., Kama, M., Facchini, S., & van Dishoeck, E. F.\ 2017, , 599, A101
2017
-
[133]
van 't Hoff, M. L. R., Tobin, J. J., Trapman, L., et al.\ 2018a, , 864, L23
-
[134]
van 't Hoff, M. L. R., Persson, M. V., Harsono, D., et al.\ 2018b, , 613, A29
-
[135]
Visser, R., & Bergin, E. A. 2012, , 754, L18
2012
-
[136]
A., & J rgensen, J
Visser, R., Bergin, E. A., & J rgensen, J. K. 2015, , 577, A102
2015
-
[137]
I., & Basu, S
Vorobyov, E. I., & Basu, S. 2005, , 633, L137
2005
-
[138]
I., & Basu, S
Vorobyov, E. I., & Basu, S. 2010, , 719, 1896
2010
-
[139]
I., DeSouza, A
Vorobyov, E. I., DeSouza, A. L., & Basu, S, 2013a, 768, 131
-
[140]
I., Baraffe, I., Harries, T., & Chabrier, G.\ 2013b, , 557, A35
Vorobyov, E. I., Baraffe, I., Harries, T., & Chabrier, G.\ 2013b, , 557, A35
-
[141]
I., & Basu, S
Vorobyov, E. I., & Basu, S. 2015, , 805, 115
2015
-
[142]
I., Elbakyan, V
Vorobyov, E. I., Elbakyan, V. G., Plunkett, A. L., et al.\ 2018, , 613, A18
2018
-
[143]
A., Wood, K., Bjorkman, J
Whitney, B. A., Wood, K., Bjorkman, J. E., et al.\ 2003, , 598, 1079
2003
-
[144]
S., Molyarova, T
Wiebe, D. S., Molyarova, T. S., Akimkin, V. V., Vorobyov, E. I., & Semenov, D. A.\ 2019, arXiv:1902.07475
2019 arXiv
-
[145]
A., Kristensen, L
Y ld z, U. A., Kristensen, L. E., van Dishoeck, E. F., et al. 2012, , 542, A86
2012
-
[146]
A., Kristensen, L
Y ld z, U. A., Kristensen, L. E., van Dishoeck, E. F., et al. 2015, , 576, A109
2015
-
[147]
Yoo, H., Lee, J.-E., Mairs, S., et al.\ 2017, , 849, 69
2017
-
[148]
2009, , 694, 1045
Zhu, Z., Hartmann, L., & Gammie C. 2009, , 694, 1045
2009
-
[149]
F., et al.\ 2010, , 713, 1134
Zhu, Z., Hartmann, L., Gammie, C. F., et al.\ 2010, , 713, 1134
2010
-
[150]
Zhu, Z., Hartmann, L., & Gammie, C.\ 2010, , 713, 1143
2010
Reviewed August 14, 2026 · model on record in the stance chip above.
Discussion (0). Continue with ORCID to comment.