pith. machine review for the scientific record. sign in

arxiv: 2604.06595 · v1 · submitted 2026-04-08 · 🌌 astro-ph.EP · astro-ph.SR

Recognition: no theorem link

An Aligned Very-Low-Mass Star Orbiting an M dwarf and Obliquity Patterns Across Giant Planets, Brown Dwarfs, and Binary Stars

Authors on Pith no claims yet

Pith reviewed 2026-05-10 18:45 UTC · model grok-4.3

classification 🌌 astro-ph.EP astro-ph.SR
keywords stellar obliquityRossiter-McLaughlin effectM dwarf binarybrown dwarfspin-orbit alignmentTOI-5375exoplanet dynamics
0
0 comments X

The pith

The first obliquity measurement for a double M dwarf binary finds the primary star's spin well aligned with the companion orbit, and similar alignment trends hold across brown dwarfs and binaries as in giant planets.

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The paper presents the first Rossiter-McLaughlin measurement of stellar obliquity in an M dwarf binary system. For TOI-5375 the primary star spins nearly aligned with the orbit of its 85 Jupiter-mass companion, yielding a projected obliquity of -13.5 degrees and a true three-dimensional obliquity of 37.5 degrees. The same data set is used to compare obliquity distributions across giant planets, brown dwarfs and stellar binaries, revealing that cool host stars and wide orbits favor alignment in all three populations while eccentricity shows no clear correlation. Modeling the absolute obliquity as a two-component Gaussian mixture indicates that the aligned component is tighter for binaries and brown dwarfs than for giant planets.

Core claim

The spin axis of the primary star TOI-5375 is well aligned with the orbit of its low-mass stellar companion, with projected obliquity λ = -13.5° and true 3D obliquity ψ = 37.5°. A few obliquity trends observed in giant planets also tentatively exhibit in brown dwarfs and binary stars: well-aligned orbits are preferentially found around cooler host stars (Teff ≤ 6250 K), wide-orbit companions (a/R* ≥ 10) are predominantly aligned, and no significant correlation appears between obliquity and orbital eccentricity in any companion class. Modeling |λ| with a two-component Gaussian distribution shows the low-|λ| components of binary stars and brown dwarfs are more concentrated near zero than those

What carries the argument

Rossiter-McLaughlin effect measurement of the projected spin-orbit angle λ, combined with a two-component Gaussian mixture model for the absolute obliquity distribution |λ| across companion populations.

If this is right

  • Well-aligned orbits predominate around stars cooler than 6250 K for giant planets, brown dwarfs and binaries alike.
  • Companions at wide separations (a/R* ≥ 10) are aligned in all three classes.
  • Obliquity shows no significant correlation with eccentricity within any of the three populations.
  • The aligned Gaussian component is narrower for brown dwarfs and binaries than for giant planets.

Where Pith is reading between the lines

These are editorial extensions of the paper, not claims the author makes directly.

  • If the trends persist with larger samples, formation or migration pathways may be more similar across planets, brown dwarfs and binaries than current models assume.
  • Tidal realignment could operate efficiently even in low-mass M dwarf binaries on short periods.
  • High-obliquity brown dwarfs and binaries may be rarer or harder to detect than their planetary counterparts, requiring targeted follow-up.

Load-bearing premise

The compiled literature samples for giant planets, brown dwarfs and binaries are free of selection biases that could artificially produce the reported trends with stellar temperature and orbital separation.

What would settle it

A new wide-orbit brown dwarf or binary around a cool star (Teff ≤ 6250 K) measured to have high obliquity, or a statistical test showing that selection effects alone can reproduce the observed temperature and separation trends without intrinsic differences between populations.

Figures

Figures reproduced from arXiv: 2604.06595 by Alexandrine L'Heureux, Charles Cadieux, \'Etienne Artigau, Neil J. Cook, Ren\'e Doyon, Shude Mao, Tianjun Gan.

Figure 1
Figure 1. Figure 1: Left panel: The phase-folded TESS and RBO light curves. The light blue dots are the binned TESS light curve with a binning size of about 180s. Middle panel: The out-of-transit radial velocities from HPF and HARPS-N. Right panel: The two-night SPIRou RM measurements after subtracting the best Keplerian model. The plotted error bars are the quadrature sums of the uncertainties of individual measurements and … view at source ↗
Figure 2
Figure 2. Figure 2: Projected stellar obliquity (λ) of giant-planet (0.3 ≤ Mc < 13.6 MJ , gray), brown dwarf (13.6 ≤ Mc < 80 MJ , blue) and binary star (Mc ≥ 80 MJ , red) systems as a function of primary star effective temperature. M dwarfs and hot stars with effective temperatures above the Kraft break (Teff ∼ 6250 K) are shown as red and blue shaded regions, respectively. TOI-5375 is marked with a red arrow. The obliquities… view at source ↗
Figure 3
Figure 3. Figure 3: Left panel: Gaussian mixture model fitting to the |λ| distribution of giant planets (gray, 0.3 ≤ Mc < 13.6 MJ ), brown dwarfs (blue, 13.6 ≤ Mc < 80 MJ ) and binary stars (red, Mc ≥ 80 MJ ), based on 2000 randomly generated synthetic datasets (see Section 4 for details). The median results are shown as dashed curves. The low-|λ| components of binary stars and brown dwarfs are slightly more concentrated and … view at source ↗
Figure 4
Figure 4. Figure 4: Projected stellar obliquity (λ) of three companion classes as a function of the companion-to-primary mass ratio. The top and bottom panels shows the systems with cool and hot primary stars, defined according to the Kraft break. The size of the symbol is proportional to the orbital eccentricity while the dots highlighted by a thick boundary represent companions with large scaled semi-major axis (a/R∗ ≥ 10).… view at source ↗
read the original abstract

Stellar obliquity serves as a key diagnostic for tracing the dynamical evolution of bound systems-from giant planets and brown dwarfs to stellar binaries-revealing whether these diverse populations share analogous histories. Here, we report the first obliquity measurement for a double M dwarf system, determined via the Rossiter-McLaughlin effect. The spin axis of the primary star, TOI-5375 ($M_\ast=0.62\pm0.02\,M_\odot$), is well aligned with the orbit of its low-mass stellar companion ($M_c=84.8\pm1.5\, M_J$, $\rm P=1.72\,days$) with a projected obliquity of $\lambda=-13.5_{-13.8}^{+12.4}\,^{\circ}$ and a true 3D obliquity of $\psi=37.5_{-13.4}^{+10.6}\,^{\circ}$. The result indicates that the system either formed with a primordially aligned configuration or has undergone tidal realignment. We further investigate obliquity patterns across giant planets, brown dwarfs and binary stars. It turns out that a few obliquity trends observed in giant planets also tentatively exhibit in the latter two higher-mass populations: 1) well-aligned orbits are preferentially found around cooler host stars ($T_{\rm eff}\leq 6250\,K$); 2) wide-orbit ($a/R_\ast\geq 10$) companions are predominantly aligned; 3) no significant correlation shows up between obliquity and orbital eccentricity in any of the companion classes. By modeling $|\lambda|$ with a two-component Gaussian distribution, we find that the low-$|\lambda|$ components of binary stars and brown dwarfs are more concentrated near zero than giant planets while the high-$|\lambda|$ components of brown dwarfs and binaries remain unclear due to the small sample size.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Referee Report

2 major / 3 minor

Summary. The manuscript reports the first Rossiter-McLaughlin measurement of stellar obliquity in a double M-dwarf system, TOI-5375. The primary (M* = 0.62 M⊙) is found to be well aligned with its short-period very-low-mass companion (Mc = 84.8 MJ, P = 1.72 d), yielding λ = −13.5°+12.4−13.8 and a true 3D obliquity ψ = 37.5°+10.6−13.4. The authors interpret this as evidence for either primordial alignment or tidal realignment. They then compile literature obliquity values for giant planets, brown dwarfs, and stellar binaries and identify three tentative trends that appear to hold across the higher-mass populations: (1) alignment is preferred around cooler hosts (Teff ≤ 6250 K), (2) wide-orbit companions (a/R* ≥ 10) are predominantly aligned, and (3) no significant λ–eccentricity correlation exists in any class. A two-component Gaussian mixture is fitted to the |λ| distributions, showing that the low-|λ| component is more concentrated near zero for binaries and brown dwarfs than for giant planets, while the high-|λ| components remain poorly constrained due to small sample sizes.

Significance. If the TOI-5375 measurement is robust and the literature trends survive bias corrections, the work supplies the first obliquity datum for an M-dwarf binary and suggests that dynamical pathways producing spin–orbit alignment may be shared across companion masses from giant planets to stellar binaries. The new system is a useful anchor at the low-mass end. The cross-population comparison is exploratory and limited by sample size, but the explicit two-component modeling and the three listed trends provide a concrete framework for future tests.

major comments (2)
  1. [Discussion of obliquity patterns across populations] In the section presenting the cross-population trends and the two-component Gaussian modeling of |λ|, the manuscript does not quantify or correct for selection biases in the compiled brown-dwarf and binary samples (e.g., RM detection efficiency scaling with v sin i and impact parameter, or publication bias favoring aligned systems). Because the abstract already flags small sample sizes for the high-|λ| components, even modest incompleteness could artificially enhance the reported preference for alignment around cooler stars or at wide separations; this directly affects the strength of the claim that the three giant-planet trends “tentatively exhibit” in the higher-mass populations.
  2. [Abstract and introductory summary of the new measurement] The abstract states that the TOI-5375 obliquity was determined via the Rossiter-McLaughlin effect but provides no information on the adopted data reduction, stellar parameters, limb-darkening treatment, or RM modeling code. While the full text presumably contains these details, their absence from the abstract and the lack of a dedicated methods subsection citation in the summary paragraph make it impossible for a reader to assess the robustness of λ = −13.5°+12.4−13.8 and ψ = 37.5°+10.6−13.4 without reading the entire methods section.
minor comments (3)
  1. [Abstract] The companion mass is given as 84.8 ± 1.5 MJ in the abstract; the symbol MJ should be defined on first use (or replaced by the more conventional MJup) to avoid ambiguity with Jupiter-mass units.
  2. [Modeling of |λ| distributions] The two-component Gaussian fit to |λ| is described only qualitatively (“more concentrated near zero”). Reporting the best-fit means, widths, and mixture weights (with uncertainties) would allow readers to judge the statistical significance of the difference between populations.
  3. [Figures presenting trends] Figure captions for any obliquity-versus-Teff or obliquity-versus-a/R* plots should explicitly state the source of each datum (new measurement vs. literature) and whether error bars are 1σ or 2σ.

Simulated Author's Rebuttal

2 responses · 0 unresolved

We thank the referee for the constructive feedback and recommendation for minor revision. We have addressed both major comments by adding an explicit discussion of selection biases and limitations in the cross-population analysis, and by revising the abstract to include a brief methods pointer while preserving its length and focus.

read point-by-point responses
  1. Referee: In the section presenting the cross-population trends and the two-component Gaussian modeling of |λ|, the manuscript does not quantify or correct for selection biases in the compiled brown-dwarf and binary samples (e.g., RM detection efficiency scaling with v sin i and impact parameter, or publication bias favoring aligned systems). Because the abstract already flags small sample sizes for the high-|λ| components, even modest incompleteness could artificially enhance the reported preference for alignment around cooler stars or at wide separations; this directly affects the strength of the claim that the three giant-planet trends “tentatively exhibit” in the higher-mass populations.

    Authors: We agree that selection biases cannot be fully quantified or corrected with the current heterogeneous literature samples, as the underlying detection efficiencies and publication biases are not well characterized. In the revised manuscript we have added a dedicated paragraph in the discussion section that explicitly addresses these issues, including RM detection efficiency, impact parameter effects, and potential publication bias favoring aligned systems. We retain the language that the trends are tentative and exploratory, consistent with the small sample sizes already flagged in the abstract, and we have softened the phrasing around the strength of the cross-population claims to reflect these limitations. revision: yes

  2. Referee: The abstract states that the TOI-5375 obliquity was determined via the Rossiter-McLaughlin effect but provides no information on the adopted data reduction, stellar parameters, limb-darkening treatment, or RM modeling code. While the full text presumably contains these details, their absence from the abstract and the lack of a dedicated methods subsection citation in the summary paragraph make it impossible for a reader to assess the robustness of λ = −13.5°+12.4−13.8 and ψ = 37.5°+10.6−13.4 without reading the entire methods section.

    Authors: We have revised the abstract to add a concise methods pointer: 'determined via the Rossiter-McLaughlin effect using high-resolution spectroscopy, with full details on data reduction, stellar parameters, limb-darkening, and modeling provided in Section 3.' This directs readers to the methods section without exceeding typical abstract length constraints. The complete information on data reduction, adopted stellar parameters, limb-darkening treatment, and the specific RM modeling code remains unchanged in the methods section. revision: yes

Circularity Check

0 steps flagged

No significant circularity; purely observational result with independent literature compilation

full rationale

The paper reports a new Rossiter-McLaughlin measurement of projected and true obliquity for TOI-5375 and compiles independent literature samples to note tentative trend similarities across populations. The two-component Gaussian modeling of |λ| is a descriptive statistical summary of the compiled data, not a derivation that reduces any claimed result to a fitted parameter or self-citation by construction. No self-definitional steps, fitted inputs renamed as predictions, or load-bearing self-citations appear in the derivation chain. The analysis remains self-contained against external benchmarks.

Axiom & Free-Parameter Ledger

0 free parameters · 1 axioms · 0 invented entities

The central claims rest on standard interpretation of Rossiter-McLaughlin spectroscopic data and compilation of published obliquity values; no new physical constants, free parameters, or postulated entities are introduced.

axioms (1)
  • domain assumption The Rossiter-McLaughlin effect can be modeled to extract projected obliquity from line-profile distortions during transit
    Invoked to convert the observed spectroscopic signal into the reported λ and ψ values.

pith-pipeline@v0.9.0 · 5685 in / 1284 out tokens · 65895 ms · 2026-05-10T18:45:59.399376+00:00 · methodology

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.

Reference graph

Works this paper leans on

96 extracted references · 92 canonical work pages · 1 internal anchor

  1. [1]

    C., Ruden, S

    Adams, F. C., Ruden, S. P., & Shu, F. H. 1989, ApJ, 347, 959, doi: 10.1086/168187 11 T able B.1.SPIRou radial velocities and stellar activity indicators. BJD RV (m s −1)σ RV (m s−1) CRXσ CRX dTempσ dTemp UT 2025 February 10th 2460716.863249 -57547.64 59.32 -824.29 448.72 5.44 2.92 2460716.873957 -57969.18 57.84 191.92 430.86 2.52 2.84 2460716.884729 -5877...

  2. [2]

    Albrecht, S., Reffert, S., Snellen, I. A. G., & Winn, J. N. 2009, Nature, 461, 373, doi: 10.1038/nature08408

  3. [3]

    Winn, J. N. 2013, ApJ, 767, 32, doi: 10.1088/0004-637X/767/1/32

  4. [4]

    N., Johnson, J

    Albrecht, S., Winn, J. N., Johnson, J. A., et al. 2012, ApJ, 757, 18, doi: 10.1088/0004-637X/757/1/18

  5. [5]

    N., Torres, G., et al

    Albrecht, S., Winn, J. N., Torres, G., et al. 2014, ApJ, 785, 83, doi: 10.1088/0004-637X/785/2/83

  6. [6]

    H., Dawson, R

    Albrecht, S. H., Dawson, R. I., & Winn, J. N. 2022, PASP, 134, 082001, doi: 10.1088/1538-3873/ac6c09 Artigau, É., Cadieux, C., Cook, N. J., et al. 2022, AJ, 164, 84, doi: 10.3847/1538-3881/ac7ce6 —. 2024, AJ, 168, 252, doi: 10.3847/1538-3881/ad7b30

  7. [7]

    F., Henry, T

    Benedict, G. F., Henry, T. J., Franz, O. G., et al. 2016, AJ, 152, 141, doi: 10.3847/0004-6256/152/5/141

  8. [8]

    2014, A&A, 564, A46, doi: 10.1051/0004-6361/201322383

    Bodichon, R. 2014, A&A, 564, A46, doi: 10.1051/0004-6361/201322383

  9. [9]

    2001, A&A, 374, 733, doi: 10.1051/0004-6361:20010730

    Bouchy, F., Pepe, F., & Queloz, D. 2001, A&A, 374, 733, doi: 10.1051/0004-6361:20010730

  10. [10]

    L., Stefánsson, G., et al

    Brady, M., Bean, J. L., Stefánsson, G., et al. 2025, AJ, 169, 64, doi: 10.3847/1538-3881/ad9c66 12 0.6 0.7 0.8 0.9 1.0 1.1 1.2 1.3 1.4Normalized flux TOI5375 - T emplate Fit OH lines Input spectrum Template × tellurics 1635 1636 1637 1638 1639 1640 1641 1642 1643 Wavelength (nm) 0.7 0.8 0.9 1.0TransmissionH2O CO2+O2+CH4 Figure A.1.Template for a represent...

  11. [11]

    E., Megeath, S

    Charbonneau, D., Allen, L. E., Megeath, S. T., et al. 2005, ApJ, 626, 523, doi: 10.1086/429991

  12. [12]

    , keywords =

    Chatterjee, S., Ford, E. B., Matsumura, S., & Rasio, F. A. 2008, ApJ, 686, 580, doi: 10.1086/590227

  13. [13]

    A., González-Payo, J., et al

    Cifuentes, C., Caballero, J. A., González-Payo, J., et al. 2025, A&A, 693, A228, doi: 10.1051/0004-6361/202452527

  14. [14]

    A., van Belle, G

    Clark, C. A., van Belle, G. T., Horch, E. P., et al. 2024, AJ, 167, 174, doi: 10.3847/1538-3881/ad267d

  15. [15]

    J., Artigau, É., Doyon, R., et al

    Cook, N. J., Artigau, É., Doyon, R., et al. 2022, PASP, 134, 114509, doi: 10.1088/1538-3873/ac9e74

  16. [16]

    Origins of Hot Jupiters

    Dawson, R. I., & Johnson, J. A. 2018, ARA&A, 56, 175, doi: 10.1146/annurev-astro-081817-051853

  17. [17]

    F., Kouach, D., Moutou, C., et al

    Donati, J. F., Kouach, D., Moutou, C., et al. 2020, MNRAS, 498, 5684, doi: 10.1093/mnras/staa2569

  18. [18]

    2023, AJ, 166, 112, doi: 10.3847/1538-3881/ace105

    Dong, J., & Foreman-Mackey, D. 2023, AJ, 166, 112, doi: 10.3847/1538-3881/ace105

  19. [19]

    I., Libby-Roberts, J

    Doyle, L., Cañas, C. I., Libby-Roberts, J. E., et al. 2025, MNRAS, 536, 3745, doi: 10.1093/mnras/stae2819 Duchêne, G., & Kraus, A. 2013, ARA&A, 51, 269, doi: 10.1146/annurev-astro-081710-102602

  20. [20]

    1991, A&A, 248, 485

    Duquennoy, A., & Mayor, M. 1991, A&A, 248, 485

  21. [21]

    P., & Kisseleva-Eggleton, L

    Eggleton, P. P., & Kisseleva-Eggleton, L. 2006, Ap&SS, 304, 75, doi: 10.1007/s10509-006-9078-z

  22. [22]

    , keywords =

    Fabrycky, D., & Tremaine, S. 2007, ApJ, 669, 1298, doi: 10.1086/521702

  23. [23]

    B., & Rasio, F

    Ford, E. B., & Rasio, F. A. 2008, ApJ, 686, 621, doi: 10.1086/590926

  24. [24]

    2016, The Journal of Open Source Software, 1, 24, doi: 10.21105/joss.00024

    Foreman-Mackey, D. 2016, The Journal of Open Source Software, 1, 24, doi: 10.21105/joss.00024

  25. [25]

    AJ , volume =

    Foreman-Mackey, D., Agol, E., Ambikasaran, S., & Angus, R. 2017, AJ, 154, 220, doi: 10.3847/1538-3881/aa9332

  26. [26]

    W., Lang, D., & Goodman, J

    Foreman-Mackey, D., Hogg, D. W., Lang, D., & Goodman, J. 2013, PASP, 125, 306, doi: 10.1086/670067

  27. [27]

    X., Wang, S., et al

    Gan, T., Wang, S. X., Wang, S., et al. 2023, AJ, 165, 17, doi: 10.3847/1538-3881/ac9b12

  28. [28]

    X., Dai, F., et al

    Gan, T., Wang, S. X., Dai, F., et al. 2024, ApJL, 969, L24, doi: 10.3847/2041-8213/ad5967

  29. [29]

    2025, ApJL, 988, L78, doi: 10.3847/2041-8213/adef55

    Gan, T., Cadieux, C., Ida, S., et al. 2025, ApJL, 988, L78, doi: 10.3847/2041-8213/adef55

  30. [30]

    Gill, S., Maxted, P. F. L., Evans, J. A., et al. 2019, A&A, 626, A119, doi: 10.1051/0004-6361/201833054

  31. [31]

    Gray, D. F. 2005, PASP, 117, 711, doi: 10.1086/430412 Günther, M. N., & Daylan, T. 2019, Allesfitter: Flexible Star and Exoplanet Inference From Photometry and Radial Velocity, Astrophysics Source Code Library. http://ascl.net/1903.003 —. 2021, ApJS, 254, 13, doi: 10.3847/1538-4365/abe70e Hébrard, G., Ehrenreich, D., Bouchy, F., et al. 2011, A&A, 527, L11...

  32. [32]

    N., et al

    Hirano, T., Suto, Y., Winn, J. N., et al. 2011, ApJ, 742, 69, doi: 10.1088/0004-637X/742/2/69

  33. [33]

    2008, ApJ, 678, 1396, doi: 10.1086/529187

    Jackson, B., Greenberg, R., & Barnes, R. 2008, ApJ, 678, 1396, doi: 10.1086/529187

  34. [34]

    M., Twicken, J

    Jenkins, J. M., Twicken, J. D., McCauliff, S., et al. 2016, in Proc. SPIE, Vol. 9913, Software and Cyberinfrastructure for Astronomy IV, 99133E, doi: 10.1117/12.2233418

  35. [35]

    H., Ellis, T

    Kasper, D. H., Ellis, T. G., Yeigh, R. R., et al. 2016, PASP, 128, 105005, doi: 10.1088/1538-3873/128/968/105005

  36. [36]

    Kipping, D. M. 2013, MNRAS, 435, 2152, doi: 10.1093/mnras/stt1435

  37. [37]

    Kraft, R. P. 1967, ApJ, 150, 551, doi: 10.1086/149359

  38. [38]

    2016, ARA&A, 54, 271, doi: 10.1146/annurev-astro-081915-023307 Kunovac Hodžić, V., Triaud, A

    Kratter, K., & Lodato, G. 2016, ARA&A, 54, 271, doi: 10.1146/annurev-astro-081915-023307 Kunovac Hodžić, V., Triaud, A. H. M. J., Martin, D. V., et al. 2020, MNRAS, 497, 1627, doi: 10.1093/mnras/staa2071

  39. [39]

    L., & Haugbølle, T

    Kuruwita, R. L., & Haugbølle, T. 2023, A&A, 674, A196, doi: 10.1051/0004-6361/202244882

  40. [40]

    F., Kanodia, S., et al

    Lambert, M., Bender, C. F., Kanodia, S., et al. 2023, AJ, 165, 218, doi: 10.3847/1538-3881/acc651

  41. [41]

    Laughlin, G., Bodenheimer, P., & Adams, F. C. 1997, ApJ, 482, 420, doi: 10.1086/304125

  42. [42]

    T., Offner, S

    Lee, A. T., Offner, S. S. R., Kratter, K. M., Smullen, R. A., & Li, P. S. 2019, ApJ, 887, 232, doi: 10.3847/1538-4357/ab584b 13

  43. [43]

    2023, A&A, 674, A132, doi: 10.1051/0004-6361/202346096

    Maldonado, J., Petralia, A., Mantovan, G., et al. 2023, A&A, 674, A132, doi: 10.1051/0004-6361/202346096

  44. [44]

    W., Dupuy, T., Kraus, A

    Mann, A. W., Dupuy, T., Kraus, A. L., et al. 2019, ApJ, 871, 63, doi: 10.3847/1538-4357/aaf3bc

  45. [45]

    L., & Albrecht, S

    Marcussen, M. L., & Albrecht, S. H. 2022, ApJ, 933, 227, doi: 10.3847/1538-4357/ac75c2

  46. [46]

    L., Albrecht, S

    Marcussen, M. L., Albrecht, S. H., Winn, J. N., et al. 2024, ApJ, 975, 149, doi: 10.3847/1538-4357/ad75fa

  47. [47]

    Masuda, K., & Winn, J. N. 2020, AJ, 159, 81, doi: 10.3847/1538-3881/ab65be

  48. [48]

    Maxted, P. F. L. 2016, A&A, 591, A111, doi: 10.1051/0004-6361/201628579

  49. [49]

    McLaughlin, D. B. 1924, ApJ, 60, 22, doi: 10.1086/142826

  50. [50]

    Moe, M., & Kratter, K. M. 2018, ApJ, 854, 44, doi: 10.3847/1538-4357/aaa6d2

  51. [51]

    M., van Dishoeck, E

    Murillo, N. M., van Dishoeck, E. F., Tobin, J. J., & Fedele, D. 2016, A&A, 592, A56, doi: 10.1051/0004-6361/201628247

  52. [52]

    2016, ARA&A, 54, 441, doi: 10.1146/annurev-astro-081915-023315

    Naoz, S. 2016, ARA&A, 54, 441, doi: 10.1146/annurev-astro-081915-023315

  53. [53]

    Naoz, S., & Fabrycky, D. C. 2014, ApJ, 793, 137, doi: 10.1088/0004-637X/793/2/137

  54. [54]

    J., Payne, S

    Norton, A. J., Payne, S. G., Evans, T., et al. 2011, A&A, 528, A90, doi: 10.1051/0004-6361/201116448

  55. [55]

    Offner, S. S. R., Moe, M., Kratter, K. M., 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, 275, doi: 10.48550/arXiv.2203.10066

  56. [56]

    J., & Meyer, M

    Parker, R. J., & Meyer, M. R. 2014, MNRAS, 442, 3722, doi: 10.1093/mnras/stu1101

  57. [57]

    J., & Mamajek, E

    Pecaut, M. J., & Mamajek, E. E. 2013, ApJS, 208, 9, doi: 10.1088/0067-0049/208/1/9

  58. [58]

    2011, Journal of Machine Learning Research, 12, 2825

    Pedregosa, F., Varoquaux, G., Gramfort, A., et al. 2011, Journal of Machine Learning Research, 12, 2825

  59. [59]

    J., Kratter, K

    Petrovich, C., Muñoz, D. J., Kratter, K. M., & Malhotra, R. 2020, ApJL, 902, L5, doi: 10.3847/2041-8213/abb952

  60. [60]

    H., DePoy, D

    Pinsonneault, M. H., DePoy, D. L., & Coffee, M. 2001, ApJL, 556, L59, doi: 10.1086/323531 Prša, A., Kochoska, A., Conroy, K. E., et al. 2022, ApJS, 258, 16, doi: 10.3847/1538-4365/ac324a

  61. [61]

    A Survey of Stellar Families: Multiplicity of Solar-Type Stars

    Raghavan, D., McAlister, H. A., Henry, T. J., et al. 2010, ApJS, 190, 1, doi: 10.1088/0067-0049/190/1/1

  62. [62]

    Science , keywords =

    Rasio, F. A., & Ford, E. B. 1996, Science, 274, 954, doi: 10.1126/science.274.5289.954

  63. [63]

    2022, AJ, 164, 104, doi: 10.3847/1538-3881/ac8153

    Rice, M., Wang, S., Wang, X.-Y., et al. 2022, AJ, 164, 104, doi: 10.3847/1538-3881/ac8153

  64. [64]

    M., Lin, D

    Rogers, T. M., Lin, D. N. C., & Lau, H. H. B. 2012, ApJL, 758, L6, doi: 10.1088/2041-8205/758/1/L6

  65. [65]

    M., Lin, D

    Rogers, T. M., Lin, D. N. C., McElwaine, J. N., & Lau, H. H. B. 2013, ApJ, 772, 21, doi: 10.1088/0004-637X/772/1/21

  66. [66]

    Rossiter, R. A. 1924, ApJ, 60, 15, doi: 10.1086/142825

  67. [67]

    2000, A&A, 354, 1134

    Monnet, G. 2000, A&A, 354, 1134

  68. [68]

    2025, ApJL, 983, L42, doi: 10.3847/2041-8213/adc129

    Rusznak, J., Wang, X.-Y., Rice, M., & Wang, S. 2025, ApJL, 983, L42, doi: 10.3847/2041-8213/adc129

  69. [69]

    C., Winn, J

    Siegel, J. C., Winn, J. N., & Albrecht, S. H. 2023, ApJL, 950, L2, doi: 10.3847/2041-8213/acd62f

  70. [70]

    M., Santos, N

    Silva, A. M., Santos, N. C., Faria, J. P., et al. 2025, A&A, 700, A93, doi: 10.1051/0004-6361/202554955

  71. [71]

    , keywords =

    Smith, J. C., Stumpe, M. C., Van Cleve, J. E., et al. 2012, PASP, 124, 1000, doi: 10.1086/667697 Soszyński, I., Pawlak, M., Pietrukowicz, P., et al. 2016, AcA, 66, 405, doi: 10.48550/arXiv.1701.03105

  72. [72]

    W., & Ebeling, H

    Southworth, J. 2011, MNRAS, 417, 2166, doi: 10.1111/j.1365-2966.2011.19399.x

  73. [73]

    V., Pandina, J., et al

    Spejcher, B., Martin, D. V., Pandina, J., et al. 2025, arXiv e-prints, arXiv:2511.23430, doi: 10.48550/arXiv.2511.23430 —. 2026, MNRAS, 545, staf2236, doi: 10.1093/mnras/staf2236

  74. [74]

    , keywords =

    Stassun, K. G., Oelkers, R. J., Paegert, M., et al. 2019, AJ, 158, 138, doi: 10.3847/1538-3881/ab3467

  75. [75]

    , year = 2014, month = jan, volume = 126, pages =

    Stumpe, M. C., Smith, J. C., Catanzarite, J. H., et al. 2014, PASP, 126, 100, doi: 10.1086/674989

  76. [76]

    , keywords =

    Stumpe, M. C., Smith, J. C., Van Cleve, J. E., et al. 2012, PASP, 124, 985, doi: 10.1086/667698

  77. [77]

    Tohline, J. E. 2002, ARA&A, 40, 349, doi: 10.1146/annurev.astro.40.060401.093810

  78. [78]

    doi:10.1093/mnras/stz3299 , eprint =

    Tokovinin, A., & Moe, M. 2020, MNRAS, 491, 5158, doi: 10.1093/mnras/stz3299

  79. [79]

    Triaud, A. H. M. J., Queloz, D., Bouchy, F., et al. 2009, A&A, 506, 377, doi: 10.1051/0004-6361/200911897

  80. [80]

    Triaud, A. H. M. J., Hebb, L., Anderson, D. R., et al. 2013, A&A, 549, A18, doi: 10.1051/0004-6361/201219643

Showing first 80 references.