The LMC Corona Favors a First Passage
Pith reviewed 2026-05-18 09:59 UTC · model grok-4.3
The pith
Simulations of the LMC's gaseous corona match a first-passage orbit but not a second passage.
A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.
Core claim
We use constrained idealized simulations of the LMC/Milky Way interaction to determine if the size of the LMC's gaseous halo (Corona) can be used to distinguish between first and second passage models. Using live circumgalactic gas particles combined with analytic dark matter potentials evolved to follow previously published orbital trajectories, we find that the first passage model is able to reproduce the observed velocity profile and column density profile of the present day LMC Corona. On the other hand, in a second passage scenario the longer interaction time leads to the velocities and column densities around the LMC at the present day being significantly lower than observations. Based
What carries the argument
Constrained idealized simulations that combine live circumgalactic gas particles with analytic dark matter potentials evolved along published first- and second-passage orbital trajectories to predict present-day velocity and column density profiles.
If this is right
- The LMC corona's truncation radius is 16.6 plus or minus 0.5 kpc in the first-passage model, matching observations.
- The second-passage model yields a truncation radius of only 5.7 plus 1.8 minus 2.2 kpc, inconsistent with data.
- Longer interaction time in the second-passage case strips gas too efficiently to explain present-day profiles.
- Gas properties of the LMC's CGM at the present day can be used to rule out second-passage trajectories.
Where Pith is reading between the lines
- If the first-passage preference holds, models of the Magellanic Stream's origin would need to assume a recent single encounter rather than multiple passages.
- The same live-gas simulation approach could be applied to other Milky Way satellites to infer their orbital histories from CGM observations.
- Future work incorporating fully live dark matter halos might change the exact truncation radii but is unlikely to reverse the first-versus-second distinction.
Load-bearing premise
The simulations use analytic dark matter potentials and previously published orbital trajectories; if those trajectories or the analytic approximation miss important live-halo or baryonic feedback effects, the predicted truncation and velocity differences would not hold.
What would settle it
A measurement of the LMC corona's truncation radius near 6 kpc together with velocities and column densities significantly below current observations would support the second-passage model instead.
Figures
read the original abstract
We use constrained idealized simulations of the LMC/Milky Way interaction to determine if the size of the LMC's gaseous halo (Corona) can be used to distinguish between first and second passage models $-$ an orbital trajectory for the LMC in which it has just recently approached the Milky Way for the first time (first passage), or one in which it has had a previous pericenter (second passage). Using live circumgalactic gas particles combined with analytic dark matter potentials evolved to follow previously published orbital trajectories, we find that the first passage model is able to reproduce the observed velocity profile and column density profile of the present day LMC Corona. On the other hand, in a second passage scenario the longer interaction time leads to the velocities and column densities around the LMC at the present day being significantly lower than observations. Based on this observed velocity profile, recent works have found that the LMC's Corona has been truncated to 17$-$20 kpc, and we find truncation radii of $16.6\pm 0.5$ kpc and $5.7^{+1.8}_{-2.2}$ kpc for the first and second passage models, respectively. Thus, based on the gas properties of the LMC's CGM at the present day, a second passage trajectory is strongly disfavored.
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. The paper claims that constrained idealized simulations of the LMC-Milky Way interaction, using live circumgalactic gas particles in analytic dark matter potentials evolved along previously published orbital trajectories, show that a first-passage model reproduces the observed velocity and column density profiles of the LMC Corona with a truncation radius of 16.6 ± 0.5 kpc, consistent with observations of 17-20 kpc. In contrast, a second-passage model results in significantly lower velocities and column densities, yielding a truncation radius of 5.7 kpc, strongly disfavoring the second-passage trajectory based on present-day gas properties.
Significance. If the results hold, this provides a valuable observational constraint on the LMC's orbital history using its CGM properties, with implications for models of the Magellanic system. The quantitative derivation of truncation radii from the simulated profiles and their direct comparison to independent observational estimates is a notable strength, offering a falsifiable test.
major comments (2)
- [Methods] The simulations evolve live gas particles inside analytic MW and LMC dark matter potentials whose centers follow fixed, pre-published orbital trajectories. This rigid-potential approximation excludes dynamical friction, live-halo deformation, and gas-induced torques on the relative orbit. As a result, the differential stripping history between first- and second-passage scenarios may not be accurately captured, particularly for the second-passage case which has experienced a prior pericenter; this could affect the reported truncation radii of 16.6±0.5 kpc and 5.7 kpc.
- [Results] The truncation radii are reported with uncertainties, but the manuscript does not detail the resolution of the gas particles, the gas cooling implementation, or systematic variations in the analytic potential parameters. These omissions make it difficult to assess the robustness of the factor-of-three difference in truncation radii that underpins the disfavoring of the second-passage model.
minor comments (1)
- [Abstract] Consider specifying the exact observational datasets or references for the 'recent works' that report the 17-20 kpc truncation radius.
Simulated Author's Rebuttal
We thank the referee for their constructive comments, which help clarify the limitations and presentation of our idealized simulations. We address each major comment below. We agree that additional details on numerical methods are warranted and will incorporate them. On the rigid-potential approximation, we maintain that the controlled comparison still provides a useful constraint on orbital history while acknowledging its simplifications.
read point-by-point responses
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Referee: [Methods] The simulations evolve live gas particles inside analytic MW and LMC dark matter potentials whose centers follow fixed, pre-published orbital trajectories. This rigid-potential approximation excludes dynamical friction, live-halo deformation, and gas-induced torques on the relative orbit. As a result, the differential stripping history between first- and second-passage scenarios may not be accurately captured, particularly for the second-passage case which has experienced a prior pericenter; this could affect the reported truncation radii of 16.6±0.5 kpc and 5.7 kpc.
Authors: We agree that the analytic-potential approach is an approximation that omits dynamical friction, halo deformation, and self-consistent torques. The adopted orbits are taken directly from prior published N-body studies that included these effects, allowing us to isolate the impact of interaction duration on gas stripping. The primary difference between models remains the time elapsed since the most recent pericenter, which drives the contrast in present-day corona properties. We will expand the methods section to explicitly discuss this limitation and its possible influence on the reported truncation radii, while noting that fully live-halo simulations lie beyond the scope of the current controlled study. revision: partial
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Referee: [Results] The truncation radii are reported with uncertainties, but the manuscript does not detail the resolution of the gas particles, the gas cooling implementation, or systematic variations in the analytic potential parameters. These omissions make it difficult to assess the robustness of the factor-of-three difference in truncation radii that underpins the disfavoring of the second-passage model.
Authors: We acknowledge the omission of these technical details. The revised manuscript will include the gas-particle count and mass resolution, the cooling function employed, and the results of parameter-variation tests on the analytic potentials. These additions will demonstrate that the factor-of-three difference in truncation radii is robust within the explored range. We have verified numerical convergence and will report the relevant tests. revision: yes
Circularity Check
No significant circularity: forward simulations tested against independent external observations
full rationale
The paper evolves live CGM gas particles inside analytic DM potentials whose centers follow previously published orbital trajectories, then compares the resulting present-day velocity and column-density profiles (and derived truncation radii of 16.6 kpc vs 5.7 kpc) directly to external observational constraints on the LMC Corona (reported truncation 17-20 kpc). These outputs are not obtained by fitting to the target data, nor do they reduce by definition or self-citation to the input orbits; the comparison is falsifiable against independent measurements. No self-definitional, fitted-input, or load-bearing self-citation steps appear in the derivation chain.
Axiom & Free-Parameter Ledger
axioms (2)
- domain assumption The LMC corona gas is truncated by ram pressure and tides during close passages with the Milky Way
- domain assumption Analytic dark matter potentials combined with live gas particles sufficiently capture the gravitational and hydrodynamic evolution
Lean theorems connected to this paper
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IndisputableMonolith/Foundation/RealityFromDistinction.leanreality_from_one_distinction unclear?
unclearRelation between the paper passage and the cited Recognition theorem.
Using live circumgalactic gas particles combined with analytic dark matter potentials evolved to follow previously published orbital trajectories
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IndisputableMonolith/Cost/FunctionalEquation.leanwashburn_uniqueness_aczel unclear?
unclearRelation between the paper passage and the cited Recognition theorem.
we find truncation radii of 16.6±0.5 kpc and 5.7+1.8-2.2 kpc
What do these tags mean?
- matches
- The paper's claim is directly supported by a theorem in the formal canon.
- supports
- The theorem supports part of the paper's argument, but the paper may add assumptions or extra steps.
- extends
- The paper goes beyond the formal theorem; the theorem is a base layer rather than the whole result.
- uses
- The paper appears to rely on the theorem as machinery.
- contradicts
- The paper's claim conflicts with a theorem or certificate in the canon.
- unclear
- Pith found a possible connection, but the passage is too broad, indirect, or ambiguous to say the theorem truly supports the claim.
Reference graph
Works this paper leans on
-
[1]
2007, ApJ, 668, 949, doi: 10.1086/521385
Besla, G., Kallivayalil, N., Hernquist, L., et al. 2007, ApJ, 668, 949, doi: 10.1086/521385
-
[2]
2010, ApJ, 721, L97, doi: 10.1088/2041-8205/721/2/L97
Besla, G., Kallivayalil, N., Hernquist, L., et al. 2010, ApJ, 721, L97, doi: 10.1088/2041-8205/721/2/L97
-
[3]
Besla, G., Kallivayalil, N., Hernquist, L., et al. 2012, MNRAS, 421, 2109, doi: 10.1111/j.1365-2966.2012.20466.x Br¨ uns, C., Kerp, J., Staveley-Smith, L., et al. 2005, A&A, 432, 45, doi: 10.1051/0004-6361:20040321
-
[4]
P., Garavito-Camargo, N., et al
Conroy, C., Naidu, R. P., Garavito-Camargo, N., et al. 2021, Nature, 592, 534, doi: 10.1038/s41586-021-03385-7 D’Onghia, E., & Fox, A. J. 2016, ARA&A, 54, 363, doi: 10.1146/annurev-astro-081915-023251
-
[5]
Ferland, G. J., Porter, R. L., van Hoof, P. A. M., et al. 2013, RMxAA, 49, 137, doi: 10.48550/arXiv.1302.4485
work page internal anchor Pith review Pith/arXiv arXiv doi:10.48550/arxiv.1302.4485 2013
-
[6]
Fox, A. J., Wakker, B. P., Barger, K. A., et al. 2014, ApJ, 787, 147, doi: 10.1088/0004-637X/787/2/147
-
[7]
Gardiner, L. T., & Noguchi, M. 1996, MNRAS, 278, 191, doi: 10.1093/mnras/278.1.191
-
[8]
J., El-Badry, K., Lucchini, S., et al
Han, J. J., El-Badry, K., Lucchini, S., et al. 2025, ApJ, 982, 188, doi: 10.3847/1538-4357/adb967
-
[9]
Harris, C. R., Millman, K. J., van der Walt, S. J., et al. 2020, Nature, 585, 357, doi: 10.1038/s41586-020-2649-2
-
[10]
1990, ApJ, 356, 359, doi: 10.1086/168845
Hernquist, L. 1990, ApJ, 356, 359, doi: 10.1086/168845
-
[11]
Hopkins, P. F. 2015, MNRAS, 450, 53, doi: 10.1093/mnras/stv195
-
[12]
F., Kereˇ s, D., O˜ norbe, J., et al
Hopkins, P. F., Kereˇ s, D., O˜ norbe, J., et al. 2014, MNRAS, 445, 581, doi: 10.1093/mnras/stu1738
-
[13]
F., Narayanan, D., & Murray, N
Hopkins, P. F., Narayanan, D., & Murray, N. 2013, MNRAS, 432, 2647, doi: 10.1093/mnras/stt723
-
[14]
F., Wetzel, A., Kereˇ s, D., et al
Hopkins, P. F., Wetzel, A., Kereˇ s, D., et al. 2018a, MNRAS, 477, 1578, doi: 10.1093/mnras/sty674
-
[15]
F., Wetzel, A., Kereˇ s, D., et al
Hopkins, P. F., Wetzel, A., Kereˇ s, D., et al. 2018b, MNRAS, 480, 800, doi: 10.1093/mnras/sty1690 8
work page internal anchor Pith review doi:10.1093/mnras/sty1690
-
[16]
F., Wetzel, A., Wheeler, C., et al
Hopkins, P. F., Wetzel, A., Wheeler, C., et al. 2023, MNRAS, 519, 3154, doi: 10.1093/mnras/stac3489
-
[17]
Hummels, C. B., Smith, B. D., & Silvia, D. W. 2017, ApJ, 847, 59, doi: 10.3847/1538-4357/aa7e2d
-
[18]
Hunter, J. D. 2007, Computing in Science & Engineering, 9, 90, doi: 10.1109/MCSE.2007.55
-
[19]
P., Besla, G., Anderson, J., & Alcock, C
Kallivayalil, N., van der Marel, R. P., Besla, G., Anderson, J., & Alcock, C. 2013, ApJ, 764, 161, doi: 10.1088/0004-637X/764/2/161
-
[20]
2016, ApJ, 833, 202, doi: 10.3847/1538-4357/833/2/202
Kim, J.-h., Agertz, O., Teyssier, R., et al. 2016, ApJ, 833, 202, doi: 10.3847/1538-4357/833/2/202
-
[21]
Krishnarao, D., Fox, A. J., D’Onghia, E., et al. 2022, Nature, 609, 915, doi: 10.1038/s41586-022-05090-5
-
[22]
2024, Ap&SS, 369, 114, doi: 10.1007/s10509-024-04377-5
Lucchini, S. 2024, Ap&SS, 369, 114, doi: 10.1007/s10509-024-04377-5
-
[23]
Lucchini, S., D’Onghia, E., & Fox, A. J. 2021, ApJL, 921, L36, doi: 10.3847/2041-8213/ac3338
-
[24]
Lucchini, S., D’Onghia, E., & Fox, A. J. 2024, ApJ, 967, 16, doi: 10.3847/1538-4357/ad3c3b
-
[25]
Lucchini, S., D’Onghia, E., Fox, A. J., et al. 2020, Nature, 585, 203, doi: 10.1038/s41586-020-2663-4
-
[26]
Lucchini, S., & Han, J. J. 2025, ApJL, submitted
work page 2025
-
[27]
Mathewson, D. S., Cleary, M. N., & Murray, J. D. 1974, ApJ, 190, 291, doi: 10.1086/152875
-
[28]
Mishra, S., Fox, A. J., Krishnarao, D., et al. 2024, ApJL, 976, L28, doi: 10.3847/2041-8213/ad8b9d
-
[29]
Nidever, D. L., Majewski, S. R., & Butler Burton, W. 2008, ApJ, 679, 432, doi: 10.1086/587042
-
[30]
2010, ApJ, 723, 1618, doi: 10.1088/0004-637X/723/2/1618
Nigra, L. 2010, ApJ, 723, 1618, doi: 10.1088/0004-637X/723/2/1618
-
[31]
Pardy, S. A., D’Onghia, E., & Fox, A. J. 2018, ApJ, 857, 101, doi: 10.3847/1538-4357/aab95b
-
[32]
2014, A&A, 562, A1, doi: 10.1051/0004-6361/201322395
Perret, V., Renaud, F., Epinat, B., et al. 2014, A&A, 562, A1, doi: 10.1051/0004-6361/201322395
-
[33]
Putman, M. E., Gibson, B. K., Staveley-Smith, L., et al. 1998, Nature, 394, 752, doi: 10.1038/29466
-
[34]
2015, ApJ, 815, 77, doi: 10.1088/0004-637X/815/1/77
Salem, M., Besla, G., Bryan, G., et al. 2015, ApJ, 815, 77, doi: 10.1088/0004-637X/815/1/77
-
[35]
J., Besla, G., Patel, E., et al
Setton, D. J., Besla, G., Patel, E., et al. 2023, ApJL, 959, L11, doi: 10.3847/2041-8213/ad0da6
-
[36]
Springel, V. 2005, MNRAS, 364, 1105, doi: 10.1111/j.1365-2966.2005.09655.x
-
[37]
2003, MNRAS, 339, 289, doi: 10.1046/j.1365-8711.2003.06206.x
Springel, V., & Hernquist, L. 2003, MNRAS, 339, 289, doi: 10.1046/j.1365-8711.2003.06206.x
-
[38]
Turk, M. J., Smith, B. D., Oishi, J. S., et al. 2011, ApJS, 192, 9, doi: 10.1088/0067-0049/192/1/9
-
[39]
2024, MNRAS, 527, 437, doi: 10.1093/mnras/stad2612
Vasiliev, E. 2024, MNRAS, 527, 437, doi: 10.1093/mnras/stad2612
-
[40]
Virtanen, P., Gommers, R., Oliphant, T. E., et al. 2020, Nature Methods, 17, 261, doi: 10.1038/s41592-019-0686-2
-
[41]
2018, MNRAS, 474, 289, doi: 10.1093/mnras/stx2757
Westmeier, T. 2018, MNRAS, 474, 289, doi: 10.1093/mnras/stx2757
-
[42]
Wiersma, R. P. C., Schaye, J., & Smith, B. D. 2009, MNRAS, 393, 99, doi: 10.1111/j.1365-2966.2008.14191.x
-
[43]
2003, MNRAS, 339, 289, doi: 10.1046/j.1365-8711.2003.06206.x
Yoshizawa, A. M., & Noguchi, M. 2003, MNRAS, 339, 1135, doi: 10.1046/j.1365-8711.2003.06263.x
-
[44]
Zhu, J., Tonnesen, S., Bryan, G. L., & Putman, M. E. 2024, ApJ, 974, 142, doi: 10.3847/1538-4357/ad6c3f
discussion (0)
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