REVIEW 3 major objections 5 minor 55 references
A Tentative Detection of a Point Source in the Disk Gap of HD 100546 with VLT/SPHERE-IRDIS Sparse Aperture Masking Interferometry
T0 review · 3 major / 5 minor · reviewed 2026-08-08 · deepseek-v4-flash
Pith's one-line read This paper claims that a compact point source candidate inside the ~13 au gap of HD 100546's disk moved between 2018 and 2021, and that a disk-plus-point-source model is decisively preferred over disk-only models.
desk verdict A tentative, well-hedged point-source detection in the HD 100546 gap with two-epoch motion; the main caveat is a limited disk-model comparison that the authors themselves acknowledge. 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 polar Gaussian ring model, a geometrical description of the forward-scattered light from the disk's inner edge, whose peak sits on the near-side minor axis, plus an unresolved point-source component. The paper fits this model to closure phases (phase sums around baseline triangles) using nested sampling and compares models by Bayesian evidence. The key lever is the closure-phase signal, which is sensitive to asymmetric emission; the contrast-separation degeneracy prevents the data from distinguishing a faint, more-separated source from a brighter, more-central source, which is the main limiting ambiguity.
What would settle it
A third epoch of SPHERE SAM data that shows the candidate continuing along a Keplerian arc would strengthen the companion case, while a VLTI/GRAVITY observation resolving a bright asymmetric inner-disk structure within ~9 mas that reproduces the closure phases would falsify it.
Extended reading notes
Core claim
On the paper's own terms, the central discovery is that a point source plus forward-scattering disk model is the best representation of the closure phases, and that the point source moves between the two epochs. The Bayesian evidence for the disk-plus-point-source model exceeds the disk-only model by a log-Bayes factor of 378.4 and the two-disk model by 285.9. The inferred position shifts from separation $39.9^{+2.8}_{-3.3}$ mas at PA $124.1^{+1.0}_{-1.0}$ degrees in 2018 to separation $50.0^{+1.0}_{-1.1}$ mas at PA $106.4^{+1.4}_{-1.4}$ degrees in 2021, placing it well within the ~120 mas disk gap. The authors interpret this as tentative evidence for a ~25-50 $M_J$ companion on either a high-eccentricity orbit near the disk plane or a large-inclination orbit, while acknowledging that an unresolved inner-disk asymmetry could produce the same signal.
Load-bearing premise
The point-source interpretation depends on the assumption that the disk's scattered light is fully captured by a single polar Gaussian ring whose geometry is fixed between epochs; if a bright compact asymmetry sits within about 9 mas of the star, it could produce the same closure phases, and the paper explicitly does not rule this out.
Editorial extensions
If this is right
- If the point source is real, it is a ~25-50 Jupiter-mass companion orbiting inside the disk gap of HD 100546, a rare direct probe of planet formation in progress.
- The measured motion over three years constrains the orbit: either the companion moves on a high-eccentricity orbit roughly aligned with the outer disk, or on a highly inclined orbit with any eccentricity.
- The detection demonstrates that forward-scattering disk emission can mimic or obscure point-source signals in sparse aperture masking data, so companion searches around transition disks must model the disk.
- Follow-up SAM or VLTI/GRAVITY observations can distinguish a companion from an inner-disk asymmetry, as the paper explicitly recommends.
Reading between the lines
- If the companion interpretation holds, the high-eccentricity orbital family would bring the object close to the inner disk at periastron, potentially explaining some of the disk asymmetries and the CO Doppler flip reported for HD 100546.
- The same modeling approach could be applied to other transition disks with archival SAM data, where unresolved inner-disk asymmetries may be a common source of false-positive companion detections.
- A decisive test could come from combining the two epochs with a third epoch: the object's acceleration sign would immediately discriminate bound orbital motion from a static or slowly evolving disk feature.
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. This paper re-analyzes archival VLT/SPHERE-IRDIS sparse aperture masking (SAM) data of the transition disk HD 100546 from 2018 (K band) and 2021 (H band). The authors fit three geometric models to the closure phases: a single polar Gaussian ring (PG), a PG plus an unresolved point source (PG+PS), and two polar Gaussian rings (2PG). Using nested sampling, they find that PG+PS is strongly preferred, with a log-Bayes factor of 378.4 over PG and 285.9 over 2PG. The point source candidate is reported at separations of 39.9 mas (P.A. 124.1°) in 2018 and 50.0 mas (P.A. 106.4°) in 2021, implying a ~10 mas and ~18° apparent motion. The authors present residual chi-squared maps, estimate a companion mass of roughly 25-50 M_J, and explore the orbital parameter space with Octofitter. They explicitly caution that a bright inner-disk asymmetry at <9 mas cannot be ruled out due to the contrast-separation degeneracy, and they recommend follow-up observations.
Significance. If confirmed, the candidate would be a substellar or low-mass companion inside the ~13 au gap of HD 100546, with astrometric motion that could help explain the disk's many observed asymmetries. The methodological core—Bayesian model comparison of geometric disk models on closure phases—is a natural extension of the authors' earlier work on LkCa 15 and PDS 70, and is applied here to a high-profile target with previously contradictory SAM results. The analysis is careful and transparent: the two extended models (PG+PS and 2PG) have equal free-parameter counts, the evidence computation uses nested sampling, and the paper includes a residual-mapping step and extensive discussion of degeneracies. The authors are appropriately honest in labeling the detection as tentative and in identifying the inner-disk-asymmetry scenario as an unexcluded alternative. The paper provides a falsifiable prediction—continued orbital motion in future SAM or GRAVITY observations—if the point-source interpretation is correct.
major comments (3)
- [Section 3 and Table 1] The 2PG model forces the second polar Gaussian to share the same radius r0 and radial FWHM FWHMr as the main forward-scattering ring, so it cannot represent a compact or radially displaced disk asymmetry. The large log-Bayes factor between PG+PS and 2PG (285.9, Section 4.3) therefore demonstrates only that a point source is preferred over the specific 2PG implementation, not that the residual is point-like rather than an extended feature at a different radius. I request an additional model that allows a second ring at an independent radius (and ideally independent radial width), or a compact Gaussian disk blob with free radius, and a rerun of the model comparison to test whether the point-source preference survives.
- [Section 4.2 and Figure 3] The residual chi-squared maps and the reported >8σ (2018) and 5.04σ (2021) significances are computed by fitting a point-source binary model to the residuals of the PG fit; this assumes the residual is point-like and thus does not independently test whether a compact extended source could produce the same closure phases. The paper itself concedes in Section 4.3 that a bright asymmetry at separations <9 mas cannot be excluded because of the contrast-separation degeneracy, and the degeneracy plateau is visible in the 2018 map. As a result, the point-source separations and P.A.s in Table 2, and the astrometric motion derived from them, are conditional on the PG+PS model being correct. Please either include a non-point-like residual test or state this conditionality prominently in Section 4.4 and in the abstract.
- [Section 3] The main disk geometry (r0, i, P.A., FWHMr, FWHMθ) is fixed between the 2018 and 2021 epochs, with only the ring brightness allowed to vary. If the disk's scattering pattern evolves slightly between epochs (e.g., due to variable illumination or a rotating inner disk), the fixed-geometry assumption could force residual variability into the point-source component, artificially producing the apparent ~10 mas separation change. Please justify this assumption on physical grounds, or test it by allowing at least r0 or P.A. to vary per epoch in a supplementary fit.
minor comments (5)
- [Title] The phrase 'A T entative' in the header appears to contain a spacing artifact; please check the LaTeX source.
- [Table 3] The orbital element θ1 is used but not defined in the text or the table notes; please define it as the position angle at the reference epoch.
- [Section 4.2] The significance calculation is said to use Equation 4 from Stolker et al. (2024), but the equation is not reproduced; either include it or provide a self-contained description.
- [Figure 2] The caption refers to 'rows' and 'columns' but does not specify which columns correspond to which filter; please label the columns or describe the layout explicitly.
- [Section 4.4] The mass estimate is presented as a range from 25 to 50 M_J, but the systematic uncertainty in the contrast due to the contrast-separation degeneracy is acknowledged only qualitatively; consider quoting the mass range as explicitly model-dependent.
Circularity Check
No significant circularity: the analysis is an empirical model comparison of fitted geometric models; the point-source detection, astrometry, and orbit estimates are fitted results with explicit caveats, not predictions that reduce to inputs.
full rationale
The paper's derivation chain is: calibrated closure phases are fit with geometric models (PG, PG+PS, 2PG) via nested sampling; the models are compared by Bayesian evidence; the preferred PG+PS model yields point-source positions and contrasts at two epochs; those fitted values are then used with external atmosphere/evolution models and a stellar parallax to estimate mass and explore orbits. No step is circular by the paper's own equations. The PG+PS model is not defined in terms of the measured separation or position angle; it is a generic polar Gaussian ring plus unresolved point source fitted to the data, and the reported astrometry is the fitted result, not a prediction of withheld data. The 2PG alternative shares r0 and FWHMr with the main ring, which limits its radial flexibility, but that is a model-robustness concern rather than circularity: the paper explicitly acknowledges the contrast/separation degeneracy and states in Section 4.3 that a bright inner-disk asymmetry at <9 mas cannot be ruled out. These caveats are the opposite of circularity because they concede that the point-source interpretation is not uniquely forced by the data. The self-citations (Blakely et al. 2022 methodology; Blakely et al. 2024 application) are methodological rather than load-bearing: the polar Gaussian model is stated explicitly in Equation 1, and the cited prior works do not supply the detection claim. The mass and orbit estimates are derived after the fit using external evolutionary models and parallax, and the paper labels them as estimates contingent on the measured contrasts and astrometry. Thus there is no 'prediction' that reduces by construction to a fitted input, and no self-citation chain that forces the central result.
Assumptions & free parameters
free parameters (14)
- Polar Gaussian ring peak amplitude per filter (log I0) =
-4.495 (H2), -4.500 (H3), -4.478 (K1), -4.453 (K2) (arbitrary units)
- Ring radius r0 =
0.093 mas (PG+PS model)
- Disk inclination i =
45.1 degrees (PG+PS model)
- Disk position angle P.A. =
327.9 degrees (PG+PS model)
- Ring radial FWHM =
0.105 mas (PG+PS model)
- Ring azimuthal FWHM =
101.6 degrees (PG+PS model)
- Point source log10 contrast per filter =
-2.56 (K1), -2.57 (K2), -2.88 (H2), -2.90 (H3)
- Point source separation per epoch =
39.9 mas (2018), 50.0 mas (2021)
- Point source position angle per epoch =
124.1 degrees (2018), 106.4 degrees (2021)
- Second ring amplitude per filter (log I1, 2PG model) =
-5.23 (H2), -5.34 (H3), -4.95 (K1), -5.01 (K2)
- Second ring azimuthal peak position per epoch (theta1, 2PG model) =
35 degrees (2018), 73 degrees (2021)
- Second ring azimuthal FWHM per epoch (2PG model) =
96 degrees (2018), 48 degrees (2021)
- Assumed age of HD 100546 =
5 Myr
- Stellar mass prior =
N(2.25, 0.25) solar masses
assumptions (7)
- standard math Closure phases are related to the sky brightness via Fourier transform, and model closure phases are computed by Equation 2 with Gaussian uncertainties.
- domain assumption The forward-scattered light from the near side of the disk edge is well approximated by a polar Gaussian ring whose peak is fixed to the disk minor axis (Eq. 1).
- domain assumption The disk geometry (radius, inclination, position angle, widths) is the same in 2018 and 2021; only brightness varies between filters.
- domain assumption The inner disk is unresolved and does not contribute significantly at the fitted point source separations.
- domain assumption Calibration with the listed calibrator stars removes instrumental closure phase systematics, so the reported uncertainties sigma_i are accurate.
- domain assumption The Gaussian prior on disk position angle (mean 323 deg, std 5 deg) from literature is appropriate.
- domain assumption The prior on companion contrast excludes values above 10^-1 to respect VLTI non-detections.
invented entities (1)
-
Point-source companion candidate inside the disk gap of HD 100546
Cite this review
Pith. "Pith review of A Tentative Detection of a Point Source in the Disk Gap of HD 100546 with VLT/SPHERE-IRDIS Sparse Aperture Masking Interferometry." pith.science (2026). https://pith.science/paper/ITJ7SNII
@misc{pith2026250207759,
author = {Pith},
title = {Pith review of: A Tentative Detection of a Point Source in the Disk Gap of HD 100546 with VLT/SPHERE-IRDIS Sparse Aperture Masking Interferometry},
year = {2026},
howpublished = {\url{https://pith.science/paper/ITJ7SNII}},
note = {Machine review of arXiv:2502.07759}
}
abstract
We re-analyze VLT/SPHERE-IRDIS K and H-band sparse aperture masking interferometry data of the transition disk HD 100546 observed in 2018 and 2021, respectively. We fit geometrical models to the closure phases extracted from both datasets. We compare three model classes: a forward scattering disk, a forward scattering disk plus an arbitrary asymmetric disk feature and a forward scattering disk plus an unresolved point source in the disk-gap. We find that the forward scattering disk plus point source model is the best representation of the data. We find that this point source candidate moved from a position of sep. = $39.9^{+2.8}_{-3.3}$ mas, P.A. = $124.1^{+1.0}_{-1.0}$ degrees to a sep. = $50.0^{+1.0}_{-1.0}$ mas, P.A. = $106.4^{+1.4}_{-1.4}$ degrees between 2018 and 2021. Both of these positions are well within the $\sim$13 au ($\sim$120 mas) disk-gap, favouring the point source interpretation. We explore the orbital parameter space that is consistent with the measured relative astrometry. We find orbits either with a similar orientation to the outer disk, with a high eccentricity $e \gtrapprox 0.65$, or orbits with a large relative inclination ($\sim$60 degrees) to the outer disk, and any eccentricity. Despite the significance of the observed point-source signal, follow-up observations will be necessary to conclusively determine its nature.
Figures
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Reference graph
Works this paper leans on
-
[1]
2019, AJ, 157, 159, doi: 10.3847/1538-3881/ab0ca1 Astropy Collaboration, Robitaille, T
Arun, R., Mathew, B., Manoj, P., et al. 2019, AJ, 157, 159, doi: 10.3847/1538-3881/ab0ca1 Astropy Collaboration, Robitaille, T. P., Tollerud, E. J., et al. 2013, A&A, 558, A33, doi: 10.1051/0004-6361/201322068 11 Astropy Collaboration, Price-Whelan, A. M., Sip˝ ocz, B. M., et al. 2018, AJ, 156, 123, doi: 10.3847/1538-3881/aabc4f
-
[2]
2022, arXiv e-prints, arXiv:2203.09991, doi: 10.48550/arXiv.2203.09991
Benisty, M., Dominik, C., Follette, K., et al. 2022, arXiv e-prints, arXiv:2203.09991, doi: 10.48550/arXiv.2203.09991
-
[3]
L., Vigan, A., Mouillet, D., et al
Beuzit, J. L., Vigan, A., Mouillet, D., et al. 2019, A&A, 631, A155, doi: 10.1051/0004-6361/201935251
-
[4]
2022, ApJ, 931, 3, doi: 10.3847/1538-4357/ac6586
Blakely, D., Francis, L., Johnstone, D., et al. 2022, ApJ, 931, 3, doi: 10.3847/1538-4357/ac6586
-
[5]
2024, arXiv e-prints, arXiv:2404.13032, doi: 10.48550/arXiv.2404.13032
Blakely, D., Johnstone, D., Cugno, G., et al. 2024, arXiv e-prints, arXiv:2404.13032, doi: 10.48550/arXiv.2404.13032
-
[6]
Boccaletti, A., Pantin, E., Lagrange, A. M., et al. 2013, A&A, 560, A20, doi: 10.1051/0004-6361/201322365
-
[7]
J., Benisty, M., Perraut, K., et al
Bohn, A. J., Benisty, M., Perraut, K., et al. 2022, A&A, 658, A183, doi: 10.1051/0004-6361/202142070
-
[8]
Booth, A. S., Ilee, J. D., Walsh, C., et al. 2023, A&A, 669, A53, doi: 10.1051/0004-6361/202244472
Show all 55 references
-
[9]
2018, JAX: composable transformations of Python+NumPy programs, 0.3.13
Bradbury, J., Frostig, R., Hawkins, P., et al. 2018, JAX: composable transformations of Python+NumPy programs, 0.3.13. http://github.com/google/jax
2018
-
[10]
D., Najita, J
Brittain, S. D., Najita, J. R., & Carr, J. S. 2019, ApJ, 883, 37, doi: 10.3847/1538-4357/ab380b
2019 doi
-
[11]
2022, ApJL, 933, L4, doi: 10.3847/2041-8213/ac75e8
Casassus, S., C´ arcamo, M., Hales, A., Weber, P., & Dent, B. 2022, ApJL, 933, L4, doi: 10.3847/2041-8213/ac75e8
2022 doi
-
[12]
2019, ApJL, 883, L41, doi: 10.3847/2041-8213/ab4425
Casassus, S., & P´ erez, S. 2019, ApJL, 883, L41, doi: 10.3847/2041-8213/ab4425
2019 doi
-
[13]
C., Girard, J., Lacour, S., et al
Cheetham, A. C., Girard, J., Lacour, S., et al. 2016, in Society of Photo-Optical Instrumentation Engineers (SPIE) Conference Series, Vol. 9907, Optical and Infrared Interferometry and Imaging V, ed. F. Malbet, M. J. Creech-Eakman, & P. G. Tuthill, 99072T, doi: 10.1117/12.2231983
2016 doi
-
[14]
A., Lacour, S., Schreiber, M
Cieza, L. A., Lacour, S., Schreiber, M. R., et al. 2013, ApJL, 762, L12, doi: 10.1088/2041-8205/762/1/L12
2013 doi
-
[15]
2015, ApJL, 814, L27, doi: 10.1088/2041-8205/814/2/L27
Currie, T., Cloutier, R., Brittain, S., et al. 2015, ApJL, 814, L27, doi: 10.1088/2041-8205/814/2/L27
2015 doi
-
[16]
2014, ApJL, 796, L30, doi: 10.1088/2041-8205/796/2/L30
Currie, T., Muto, T., Kudo, T., et al. 2014, ApJL, 796, L30, doi: 10.1088/2041-8205/796/2/L30
2014 doi
-
[17]
2008, in Society of Photo-Optical Instrumentation Engineers (SPIE) Conference Series, Vol
Dohlen, K., Langlois, M., Saisse, M., et al. 2008, in Society of Photo-Optical Instrumentation Engineers (SPIE) Conference Series, Vol. 7014, Ground-based and Airborne Instrumentation for Astronomy II, ed. I. S. McLean & M. M. Casali, 70143L, doi: 10.1117/12.789786
2008 doi
-
[18]
2021, A&A, 651, A90, doi: 10.1051/0004-6361/202141278
Fedele, D., Toci, C., Maud, L., & Lodato, G. 2021, A&A, 651, A90, doi: 10.1051/0004-6361/202141278
2021 doi
-
[19]
B., Rameau, J., Dong, R., et al
Follette, K. B., Rameau, J., Dong, R., et al. 2017, AJ, 153, 264, doi: 10.3847/1538-3881/aa6d85
2017 doi
-
[20]
2016, The Journal of Open Source Software, 1, 24, doi: 10.21105/joss.00024 Gaia Collaboration, Vallenari, A., Brown, A
Foreman-Mackey, D. 2016, The Journal of Open Source Software, 1, 24, doi: 10.21105/joss.00024 Gaia Collaboration, Vallenari, A., Brown, A. G. A., et al. 2023, A&A, 674, A1, doi: 10.1051/0004-6361/202243940
2016 doi
-
[21]
2015, A&A, 579, A68, doi: 10.1051/0004-6361/201525917
Gallenne, A., M´ erand, A., Kervella, P., et al. 2015, A&A, 579, A68, doi: 10.1051/0004-6361/201525917
2015 doi
-
[22]
P., Schmid, H
Garufi, A., Quanz, S. P., Schmid, H. M., et al. 2016, A&A, 588, A8, doi: 10.1051/0004-6361/201527940
2016 doi
-
[23]
R., Millman, K
Harris, C. R., Millman, K. J., van der Walt, S. J., et al. 2020, Nature, 585, 357, doi: 10.1038/s41586-020-2649-2
2020 doi
-
[24]
2018, Statistics and Computing, 29, 891–913, doi: 10.1007/s11222-018-9844-0
Higson, E., Handley, W., Hobson, M., & Lasenby, A. 2018, Statistics and Computing, 29, 891–913, doi: 10.1007/s11222-018-9844-0
2018 doi
-
[25]
Hunter, J. D. 2007, Computing in Science & Engineering, 9, 90, doi: 10.1109/MCSE.2007.55
2007 doi
-
[26]
2018, ApJ, 865, 137, doi: 10.3847/1538-4357/aadae4
Jamialahmadi, N., Ratzka, T., Pani´ c, O., et al. 2018, ApJ, 865, 137, doi: 10.3847/1538-4357/aadae4
2018 doi
-
[27]
R., & Peacock, J
Jenkins, C. R., & Peacock, J. A. 2011, Monthly Notices of the Royal Astronomical Society, 413, 2895–2905, doi: 10.1111/j.1365-2966.2011.18361.x
2011
-
[28]
E., & Raftery, A
Kass, R. E., & Raftery, A. E. 1995, Journal of the American Statistical Association, 90, 773, doi: 10.1080/01621459.1995.10476572
1995
-
[29]
S., et al
Keyte, L., Kama, M., Booth, A. S., et al. 2023, Nature Astronomy, 7, 684, doi: 10.1038/s41550-023-01951-9
2023 doi
-
[30]
2023, joshspeagle/dynesty: v2.1.0, v2.1.0, Zenodo, doi: 10.5281/zenodo.7600689
Koposov, S., Speagle, J., Barbary, K., et al. 2023, joshspeagle/dynesty: v2.1.0, v2.1.0, Zenodo, doi: 10.5281/zenodo.7600689
2023 doi
-
[31]
2011, The Messenger, 146, 18
Lacour, S., Tuthill, P., Ireland, M., Amico, P., & Girard, J. 2011, The Messenger, 146, 18
2011
-
[32]
P., Kluska, J., et al
Lazareff, B., Berger, J. P., Kluska, J., et al. 2017, A&A, 599, A85, doi: 10.1051/0004-6361/201629305
2017 doi
-
[33]
M., Pani´ c, O., Haworth, T
Miley, J. M., Pani´ c, O., Haworth, T. J., et al. 2019, MNRAS, 485, 739, doi: 10.1093/mnras/stz426
2019 doi
-
[34]
J., Maddison, S
Norfolk, B. J., Maddison, S. T., Pinte, C., et al. 2021, MNRAS, 502, 5779, doi: 10.1093/mnras/stab313
2021 doi
-
[35]
J., Pinte, C., Calcino, J., et al
Norfolk, B. J., Pinte, C., Calcino, J., et al. 2022, ApJL, 936, L4, doi: 10.3847/2041-8213/ac85ed Pani´ c, O., Ratzka, T., Mulders, G. D., et al. 2014, A&A, 562, A101, doi: 10.1051/0004-6361/201219223 P´ erez, S., Casassus, S., Hales, A., et al. 2020, ApJL, 889, L24, doi: 10.3...
2022 doi
-
[36]
W., Tremblin, P., Baraffe, I., et al
Phillips, M. W., Tremblin, P., Baraffe, I., et al. 2020, A&A, 637, A38, doi: 10.1051/0004-6361/201937381
2020 doi
-
[37]
E., Szul´ agyi, J., Quanz, S
Pineda, J. E., Szul´ agyi, J., Quanz, S. P., et al. 2019, ApJ, 871, 48, doi: 10.3847/1538-4357/aaf389 Pourr´ e, N., Winterhalder, T. O., Le Bouquin, J. B., et al. 2024, A&A, 686, A258, doi: 10.1051/0004-6361/202449507
2019 doi
-
[38]
P., Amara, A., Meyer, M
Quanz, S. P., Amara, A., Meyer, M. R., et al. 2013, ApJL, 766, L1, doi: 10.1088/2041-8205/766/1/L1 12
2013 doi
-
[39]
P., Schmid, H
Quanz, S. P., Schmid, H. M., Geissler, K., et al. 2011, ApJ, 738, 23, doi: 10.1088/0004-637X/738/1/23
2011 doi
-
[40]
B., Benisty, M., Ginski, C., et al
Ren, B. B., Benisty, M., Ginski, C., et al. 2023, A&A, 680, A114, doi: 10.1051/0004-6361/202347353
2023 doi
-
[41]
2023, ApJ, 953, 55, doi: 10.3847/1538-4357/ace16c
Sallum, S., Eisner, J., Skemer, A., & Murray-Clay, R. 2023, ApJ, 953, 55, doi: 10.3847/1538-4357/ace16c
2023 doi
-
[42]
F., Cutri, R
Skrutskie, M. F., Cutri, R. M., Stiening, R., et al. 2006, AJ, 131, 1163, doi: 10.1086/498708
2006 doi
-
[43]
2020, in Society of Photo-Optical Instrumentation Engineers (SPIE) Conference Series, Vol
Soulain, A., Sivaramakrishnan, A., Tuthill, P., et al. 2020, in Society of Photo-Optical Instrumentation Engineers (SPIE) Conference Series, Vol. 11446, Optical and Infrared Interferometry and Imaging VII, ed. P. G
2020
- [44]
-
[45]
Speagle, J. S. 2020, MNRAS, 493, 3132, doi: 10.1093/mnras/staa278
2020 doi
-
[46]
P., Todorov, K
Stolker, T., Quanz, S. P., Todorov, K. O., et al. 2020, A&A, 635, A182, doi: 10.1051/0004-6361/201937159
2020 doi
-
[47]
2024, A&A, 682, A101, doi: 10.1051/0004-6361/202347291
Stolker, T., Kammerer, J., Benisty, M., et al. 2024, A&A, 682, A101, doi: 10.1051/0004-6361/202347291
2024 doi
-
[48]
2023, arXiv:2308.09769
Surjanovic, N., Biron-Lattes, M., Tiede, P., et al. 2023, arXiv:2308.09769
2023 arXiv
-
[49]
2022, Journal of the Royal Statistical Society: Series B (Statistical Methodology), 84, 321, doi: https://doi.org/10.1111/rssb.12464
Syed, S., Bouchard-Cˆ ot´ e, A., Deligiannidis, G., & Doucet, A. 2022, Journal of the Royal Statistical Society: Series B (Statistical Methodology), 84, 321, doi: https://doi.org/10.1111/rssb.12464
2022 doi
-
[50]
2011, A&A, 531, A1, doi: 10.1051/0004-6361/201016165
Tatulli, E., Benisty, M., M´ enard, F., et al. 2011, A&A, 531, A1, doi: 10.1051/0004-6361/201016165
2011 doi
-
[51]
2023, AJ, 166, 164, doi: 10.3847/1538-3881/acf5cc
Thompson, W., Lawrence, J., Blakely, D., et al. 2023, AJ, 166, 164, doi: 10.3847/1538-3881/acf5cc
2023 doi
-
[52]
2010, in Society of Photo-Optical Instrumentation Engineers (SPIE) Conference Series, Vol
Tuthill, P., Lacour, S., Amico, P., et al. 2010, in Society of Photo-Optical Instrumentation Engineers (SPIE) Conference Series, Vol. 7735, Ground-based and Airborne Instrumentation for Astronomy III, ed. I. S. McLean, S. K. Ramsay, & H. Takami, 77351O, doi: 10.1117/12.856806
2010 doi
-
[53]
2020, vlt-sphere: Automatic VLT/SPHERE data reduction and analysis, Astrophysics Source Code Library, record ascl:2009.002
Vigan, A. 2020, vlt-sphere: Automatic VLT/SPHERE data reduction and analysis, Astrophysics Source Code Library, record ascl:2009.002. http://ascl.net/2009.002
2020
-
[54]
2010, MNRAS, 407, 71, doi: 10.1111/j.1365-2966.2010.16916.x
Vigan, A., Moutou, C., Langlois, M., et al. 2010, MNRAS, 407, 71, doi: 10.1111/j.1365-2966.2010.16916.x
2010
-
[55]
M., Maddison, S
Wright, C. M., Maddison, S. T., Wilner, D. J., et al. 2015, MNRAS, 453, 414, doi: 10.1093/mnras/stv1619
2015 doi
Reviewed August 8, 2026 · model on record in the stance chip above.
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