REVIEW 3 major objections 4 minor 60 references
The EBLM project -- XIV. TESS light curves for eclipsing binaries with very low mass companions
T0 review · 3 major / 4 minor · reviewed 2026-08-07 · deepseek-v4-flash
Pith's one-line read Systematic limb-darkening offsets previously seen in metal-rich hot-Jupiter hosts also appear in solar-type stars with M-dwarf companions across [Fe/H] = -0.61 to +0.32.
desk verdict Solid, careful extension of limb-darkening measurements to lower-metallicity EBLMs; the abstract overreaches on the EBLM-only offset but the paper is publishable after a modest revision. 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 load-bearing quantities are $h'_1 = I_\lambda(2/3)$ and $h'_2 = h'_1 - I_\lambda(1/3)$, where $I_\lambda(\mu)$ is the specific intensity at wavelength $\lambda$ and $\mu = \cos\theta$. These two parameters, introduced in an earlier study of hot-Jupiter transits, are chosen because they are weakly correlated in fits to eclipse light curves and are directly comparable to model-atmosphere predictions. The light-curve analysis uses a 4-parameter Claret limb-darkening law fitted with a published eclipse model plus Markov-chain Monte Carlo sampling, with primary and secondary eclipses fitted simultaneously; predicted values are interpolated from several published model grids. For the radius work, the power-2 limb-darkening law parameterised in $q_1$,$q_2$ variables gives more precise radii, and masses come from combining the fitted parameters with an empirical mass-density-metallicity relation and spectroscopic orbit amplitudes.
What would settle it
Compile a sample of solar-type stars with transiting companions that show no photometric variability at all, or model star spots explicitly, and measure their limb-darkening parameters; if the offset $\Delta h'_1 \approx +0.008$ disappears or shrinks substantially, then the offset is caused by spot or facula contamination rather than a genuine atmospheric deficiency. Alternatively, if stars with independently stronger surface magnetic fields show systematically larger offsets, the magnetic-field explanation is supported.
Extended reading notes
Core claim
The central discovery is that the systematic offset between observed and model-predicted limb-darkening profiles, previously attributed to metal-rich hot-Jupiter host stars, is also present in solar-type stars with M-dwarf companions at lower metallicity. In the TESS band, the observed specific intensity at $\mu = 2/3$ is higher than predicted ($\Delta h'_1 \approx +0.0086$) and the drop from $\mu = 2/3$ to $\mu = 1/3$ is smaller than predicted ($\Delta h'_2 \approx -0.0076$), across model grids including ATLAS, MPS-ATLAS, PHOENIX-COND, and Stagger. The offsets show no significant trend with effective temperature or metallicity in the TESS band, even though the sample spans [Fe/H] from -0.61 to +0.32. For the companion stars, the measured radii are on average $2.6\% \pm 1.1\%$ larger than MIST isochrone predictions, with a marginal metallicity dependence, confirming previous reports that very low mass stars are inflated relative to solar-calibrated mixing-length models.
Load-bearing premise
The whole result rests on the assumption that the light-curve-derived offset reflects the quiet, time-averaged atmosphere of each star rather than contamination from unresolved star spots or faculae, since the offset of about 0.008 is comparable to the bias a small spot coverage could produce.
Editorial extensions
If this is right
- Model limb-darkening grids that omit magnetic effects will keep predicting steeper profiles than observed for solar-type stars across a wide metallicity range, so transit and eclipse analyses that fix limb darkening to such grids will inherit a small but systematic bias.
- The absence of a metallicity trend means the offset cannot be blamed on the high-metallicity composition of hot-Jupiter hosts; the missing physics is composition-insensitive.
- The new measurements enlarge the pool of stars with accurate limb-darkening constraints, giving modellers more data to test magnetic-field modifications of atmospheric temperature structure.
- The companion radii confirm that very low mass stars are about 3% larger than standard stellar models predict, reinforcing that solar-calibrated convection is inadequate at the bottom of the main sequence.
Reading between the lines
- If the offset persists in spot-free stars, limb darkening could be developed as a practical photometric probe of photospheric magnetic fields for a much larger sample than spectropolarimetry allows; a test would compare $\Delta h'_1$ against independently measured magnetic activity indicators on the same stars.
- A potential limiting factor is unresolved spot or facula coverage: even stars without obvious pseudo-sinusoidal variability could have a few percent spot coverage that mimics a flatter limb-darkening profile, so a re-analysis with explicit spot modeling on a subset would settle whether the offset is atmospheric or surface-activity in origin.
- The Kepler-band temperature trend versus the TESS-band flat offset hints that line-blanketing errors in the models are wavelength dependent; observing the same EBLM sample in additional bandpasses would test this directly.
- If radius inflation scales with metallicity as suggested, the most inflated M-dwarfs should also be the most magnetically active; cross-matching with X-ray or H-alpha activity surveys could link the two phenomena.
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. This paper analyzes TESS light curves of 19 EBLM eclipsing binaries to measure the limb-darkening of the solar-type primary stars via a four-parameter non-linear limb-darkening law, and to determine the radii and effective temperatures of the M-dwarf companions. The limb-darkening parameters h'_1 and h'_2 are compared with predictions from five published model-atmosphere grids (ATLAS, MPS-ATLAS Set 1 and Set 2, PHOENIX-COND, and Stagger). The authors report small but significant global offsets between observed and predicted limb-darkening, with Δh'_1 ≈ +0.0086 and Δh'_2 ≈ −0.0076 across models, and argue that these offsets extend the same discrepancy previously seen in metal-rich hot-Jupiter hosts to the lower-metallicity EBLM sample. They also measure a radius inflation of 2.6 ± 1.1% for the M-dwarf companions relative to MIST isochrones, and find a marginal metallicity dependence of that inflation.
Significance. If the central claim is established, the paper provides an important extension of limb-darkening tests to a metallicity range more representative of typical solar-type stars, supporting the interpretation that the observed discrepancy between light-curve-derived and model-predicted limb darkening is a general atmospheric effect (e.g., magnetic field) rather than a peculiarity of metal-rich hot-Jupiter hosts. The analysis is careful and reproducible in its use of simultaneous primary and secondary eclipse fitting with batman, Rømer delay, tidal-distortion corrections via ellc simulations, MCMC convergence checks, and Monte Carlo error propagation. The use of multiple independent model grids and the explicit treatment of extra scatter through the pycheops combine function are methodological strengths. The radius-inflation measurements provide additional benchmarks for low-mass stellar models. However, the headline metallicity claim is not directly demonstrated by the quantitative results presented, and the paper's own conclusions are more conservative than the abstract in this respect.
major comments (3)
- [Section 3.1 and Table 4] The abstract's claim that the systematic limb-darkening offset 'is also observed for these solar-type stars at lower metallicity' is not directly supported by the analysis as presented. Table 4 reports offsets for the combined sample of 17 EBLM targets plus 10 TESS hot-Jupiter systems from Maxted (2023), and no EBLM-only offset is quoted anywhere. Section 3.1 only states that the EBLM offsets 'agree with' those of Maxted (2023) within overlapping uncertainties, which is not a significance statement about the EBLM subsample alone. Since the EBLM targets are the only objects extending the sample to [Fe/H] below about −0.1, the paper must report the mean offset and credible interval for the 17 EBLM targets alone (using the Section 2.5 method) for each model grid, and state explicitly whether that offset is nonzero at a meaningful significance level.
- [Section 3.1.2] The metallicity-trend fits have limited power to exclude a gradient that would erase the offset at the low-metallicity end, which is the key extension claimed by the paper. With 27 points and per-star uncertainties of roughly 0.002–0.03 in h'_1, the statement that all fitted gradients encompass zero within 1σ (or 1.1σ for PHOENIX-COND) does not rule out a trend that reduces Δh'_1 to zero at [Fe/H] ≈ −0.6. Please report the fitted gradient and its uncertainty for each model, and quantify the range of metallicity gradients that would be consistent with the data; if a gradient that cancels the offset at the lowest metallicities is not excluded, the abstract's wording should be softened accordingly.
- [Section 2.1 and Section 3.1] The interpretation of the measured offset as a property of the quiet stellar atmosphere is vulnerable to contamination by unresolved star spots or faculae. The target selection in Section 2.1 removes systems with 'strong magnetic activity' seen as pseudo-sinusoidal variations, but the offset is only about 0.008 in h'_1, and a modest spot or facula filling factor could plausibly bias h'_1 by this amount. Please estimate an upper limit on the spot/facula coverage of the EBLM primaries from the out-of-eclipse photometric scatter (e.g., via a simple spot model or a variability amplitude threshold), and state whether such a coverage could account for the observed offset. If it cannot, that should be stated explicitly; if it can, the atmospheric interpretation should be qualified.
minor comments (4)
- [Figure 2 caption] The caption contains a duplicated word: 'the bottom two panels show show the fit and residuals'. Please correct.
- [Section 2.1] The criterion for excluding stars with 'strong magnetic activity' is not quantified. Please provide a threshold (e.g., peak-to-peak amplitude of the out-of-eclipse variations, or a Lomb-Scargle false-alarm probability) so the selection is reproducible.
- [Section 4.1.1] The statement that the tidal-distortion corrections for R1/a, h'_1, and h'_2 are 'much less than their standard errors' would be more informative with the actual largest correction values, rather than a purely qualitative assertion.
- [Section 4.2] The additional noise of 1.7 km/s added to Gaia K1 measurements is derived from only eight stars in common with Triaud et al. (2017). Please give the uncertainty on this estimate and comment on how sensitive the final radius-inflation result is to that choice.
Circularity Check
No significant circularity: the limb-darkening offset and M-dwarf radius inflation are tested against externally published model grids, not defined by the paper's own fitted quantities.
full rationale
The paper's central comparison is self-contained against external benchmarks. Predicted values of h'_1 and h'_2 are 'extracted for each target from published tabulations using linear interpolation' to Teff, logg, and [Fe/H] from grids of ATLAS, MPS-ATLAS, PHOENIX-COND, and Stagger models (Sec. 3). The observed h'_1 and h'_2 come from independent batman/emcee fits to TESS light curves (Secs. 2.3-2.4), and the offset is defined as a residual Delta h' = h'_obs - h'_cal. Nothing in that chain defines the measured quantity in terms of the claimed offset: the model grids are external, and the light-curve fits do not use the model predictions as priors. The PHOENIX-COND [Fe/H] correction (Eq. 4) is taken from Maxted (2023), but it is a model-side correction for metallicity dependence, not a fit to the current data. The radius-inflation result is likewise a comparison of measured secondary radii with MIST isochrones (Sec. 4.3), with secondary Teff from the external BT-NextGen grid. Same-group citations (Maxted 2023 method and hot-Jupiter sample; Freckelton et al. 2024 parameters; Swayne et al. 2024 comparison; Triaud et al. 2017 orbits) are prior measurements or published tools, not unverified self-referential premises; the central claims retain independent content. The absence of an EBLM-only offset in Table 4 (the pooled sample combines 17 EBLMs with 10 Maxted 2023 hot-Jupiter hosts) is a reporting/statistical weakness in supporting the abstract's wording, and unresolved spot/faculae contamination is a systematic-risk concern, but neither is a definitional reduction or a fitted-input-as-prediction. Hence no circular step is identified.
Assumptions & free parameters
free parameters (4)
- Extra scatter sigma_ext in offset estimator =
sigma_ext,1 = 0.006 to 0.007, sigma_ext,2 = 0.001 to 0.004 depending on model (Table 4)
- Scatter added in trend fits sigma1, sigma2 =
Kepler: sigma1 = 0.00524, sigma2 = 0.01359; TESS: sigma1 = 0.0097, sigma2 = 0.008 (Section 3.1.1)
- Per-system error-scaling factor f =
Not tabulated; sampled in each MCMC run
- Scatter added in radius-inflation versus metallicity fit =
2.24 per cent (Section 4.3.1)
assumptions (6)
- domain assumption The 4-parameter Claret limb-darkening law is flexible enough to capture the true intensity profile at mu = 2/3 and mu = 1/3.
- domain assumption Light curves are unaffected by unmodeled star spots or faculae after removing active stars.
- standard math Gaussian independent errors with a common error-scaling factor f describe the photometric noise.
- domain assumption Tidal distortion is adequately modeled by polytropic ellipsoids with index n = 1.5 and I-band gravity-darkening coefficients.
- domain assumption The Enoch et al. (2010) empirical mass relation is unbiased for these primaries.
- domain assumption MIST isochrones and BT-NextGen synthetic photometry provide valid comparison grids.
Cite this review
Pith. "Pith review of The EBLM project -- XIV. TESS light curves for eclipsing binaries with very low mass companions." pith.science (2026). https://pith.science/paper/KLACV66Q
@misc{pith2026250209267,
author = {Pith},
title = {Pith review of: The EBLM project -- XIV. TESS light curves for eclipsing binaries with very low mass companions},
year = {2026},
howpublished = {\url{https://pith.science/paper/KLACV66Q}},
note = {Machine review of arXiv:2502.09267}
}
read the original abstract
Accurate limb-darkening models are needed for accurate characterisation of eclipsing binary stars and transiting exoplanets from the analysis of their light curves. The limb-darkening observed in solar-type stars from the analysis of light curves for transiting hot-Jupiter exoplanets are systematically less steep than predicted by stellar model atmospheres that do not account for the stellar magnetic field. Hot-Jupiter host stars tend to be metal rich ([Fe/H] ~0.25) leading to a lack of low- and solar-metallicity targets in previous studies, so we have analysed the TESS light curves for a sample of 19 stars with transiting M-dwarf companions to extend the range of limb-darkening measurements to [Fe/H] values more typical for solar-type stars. We find that the systematic offset between the observed and predicted limb-darkening profiles observed in metal-rich hot-Jupiter systems is also observed for these solar-type stars at lower metallicity. These observations provide additional measurements to explore the impact of magnetic fields on the atmospheres of solar-type stars. We have also used the TESS light curves to make precise estimates of the radius and effective temperature of the M-dwarf companions in these 19 binary systems. We confirm the results from previous studies that find very low mass stars tend to be about 3 per cent larger than predicted by stellar models that use a mixing length prescription calibrated on the Sun.
Figures
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Reference graph
Works this paper leans on
-
[1]
write newline
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-
[2]
Allard F., Homeier D., Freytag B., 2011, in Johns-Krull C., Browning M. K., West A. A., eds, Astronomical Society of the Pacific Conference Series Vol. 448, 16th Cambridge Workshop on Cool Stars, Stellar Systems, and the Sun. p. 91 ( @eprint arXiv 1011.5405 ), @doi 10.48550/arXiv.1011.5405
- [3]
-
[4]
Asplund M., Grevesse N., Sauval A. J., Scott P., 2009, @doi [ ] 10.1146/annurev.astro.46.060407.145222 , https://ui.adsabs.harvard.edu/abs/2009ARA&A..47..481A 47, 481
arXiv 2009
-
[5]
Blanco-Cuaresma S., 2019, @doi [ ] 10.1093/mnras/stz549 , https://ui.adsabs.harvard.edu/abs/2019MNRAS.486.2075B 486, 2075
-
[6]
Blanco-Cuaresma S., Soubiran C., Heiter U., Jofr \'e P., 2014, @doi [ ] 10.1051/0004-6361/201423945 , https://ui.adsabs.harvard.edu/abs/2014A&A...569A.111B 569, A111
-
[7]
Borkovits T., Rappaport S., Hajdu T., Sztakovics J., 2015, @doi [ ] 10.1093/mnras/stv015 , https://ui.adsabs.harvard.edu/abs/2015MNRAS.448..946B 448, 946
-
[8]
249, Exoplanets: Detection, Formation and Dynamics
Borucki W., et al., 2008, in Sun Y.-S., Ferraz-Mello S., Zhou J.-L., eds, Vol. 249, Exoplanets: Detection, Formation and Dynamics. pp 17--24, @doi 10.1017/S174392130801630X
Show all 60 references
-
[9]
J., et al., 2010, @doi [Science] 10.1126/science.1185402 , http://adsabs.harvard.edu/abs/2010Sci...327..977B 327, 977
Borucki W. J., et al., 2010, @doi [Science] 10.1126/science.1185402 , http://adsabs.harvard.edu/abs/2010Sci...327..977B 327, 977
2010 doi
-
[10]
Chabrier G., Gallardo J., Baraffe I., 2007, @doi [ ] 10.1051/0004-6361:20077702 , https://ui.adsabs.harvard.edu/abs/2007A&A...472L..17C 472, L17
2007 doi
-
[11]
D., 2016, @doi [ ] 10.3847/0004-637X/823/2/102 , https://ui.adsabs.harvard.edu/abs/2016ApJ...823..102C 823, 102
Choi J., Dotter A., Conroy C., Cantiello M., Paxton B., Johnson B. D., 2016, @doi [ ] 10.3847/0004-637X/823/2/102 , https://ui.adsabs.harvard.edu/abs/2016ApJ...823..102C 823, 102
2016 doi
-
[12]
Claret A., 2000, , http://adsabs.harvard.edu/abs/2000A
2000
-
[13]
Claret A., 2017, @doi [ ] 10.1051/0004-6361/201629705 , https://ui.adsabs.harvard.edu/abs/2017A&A...600A..30C 600, A30
2017 doi
-
[14]
Claret A., 2018, @doi [ ] 10.1051/0004-6361/201833060 , https://ui.adsabs.harvard.edu/abs/2018A&A...618A..20C 618, A20
2018 doi
-
[15]
Claret A., Bloemen S., 2011, @doi [ ] 10.1051/0004-6361/201116451 , https://ui.adsabs.harvard.edu/abs/2011A&A...529A..75C 529, A75
2011 doi
-
[16]
Csizmadia S., Pasternacki T., Dreyer C., Cabrera J., Erikson A., Rauer H., 2013, @doi [ ] 10.1051/0004-6361/201219888 , https://ui.adsabs.harvard.edu/abs/2013A&A...549A...9C 549, A9
2013 doi
-
[17]
Dotter A., 2016, @doi [ ] 10.3847/0067-0049/222/1/8 , https://ui.adsabs.harvard.edu/abs/2016ApJS..222....8D 222, 8
2016 doi
-
[18]
S., Agol E., 2013, @doi [ ] 10.1086/669497 , https://ui.adsabs.harvard.edu/abs/2013PASP..125...83E 125, 83
Eastman J., Gaudi B. S., Agol E., 2013, @doi [ ] 10.1086/669497 , https://ui.adsabs.harvard.edu/abs/2013PASP..125...83E 125, 83
2013 doi
-
[19]
R., Hebb L., 2010, @doi [ ] 10.1051/0004-6361/201014326 , https://ui.adsabs.harvard.edu/abs/2010A&A...516A..33E 516, A33
Enoch B., Collier Cameron A., Parley N. R., Hebb L., 2010, @doi [ ] 10.1051/0004-6361/201014326 , https://ui.adsabs.harvard.edu/abs/2010A&A...516A..33E 516, A33
2010 doi
-
[20]
Espinoza N., Jord \'a n A., 2015, @doi [ ] 10.1093/mnras/stv744 , https://ui.adsabs.harvard.edu/abs/2015MNRAS.450.1879E 450, 1879
2015 doi
-
[21]
Espinoza N., Jord \'a n A., 2016, @doi [ ] 10.1093/mnras/stw224 , https://ui.adsabs.harvard.edu/abs/2016MNRAS.457.3573E 457, 3573
2016 doi
- [22]
-
[23]
A., Chaboyer B., 2013, @doi [ ] 10.1088/0004-637X/779/2/183 , https://ui.adsabs.harvard.edu/abs/2013ApJ...779..183F 779, 183
Feiden G. A., Chaboyer B., 2013, @doi [ ] 10.1088/0004-637X/779/2/183 , https://ui.adsabs.harvard.edu/abs/2013ApJ...779..183F 779, 183
2013 doi
-
[24]
A., Chaboyer B., 2014, @doi [ ] 10.1088/0004-637X/789/1/53 , https://ui.adsabs.harvard.edu/abs/2014ApJ...789...53F 789, 53
Feiden G. A., Chaboyer B., 2014, @doi [ ] 10.1088/0004-637X/789/1/53 , https://ui.adsabs.harvard.edu/abs/2014ApJ...789...53F 789, 53
2014 doi
-
[25]
W., Lang D., Goodman J., 2013, @doi [ ] 10.1086/670067 , https://ui.adsabs.harvard.edu/abs/2013PASP..125..306F 125, 306
Foreman-Mackey D., Hogg D. W., Lang D., Goodman J., 2013, @doi [ ] 10.1086/670067 , https://ui.adsabs.harvard.edu/abs/2013PASP..125..306F 125, 306
2013 doi
-
[26]
V., et al., 2024, @doi [ ] 10.1093/mnras/stae1405 , https://ui.adsabs.harvard.edu/abs/2024MNRAS.531.4085F 531, 4085
Freckelton A. V., et al., 2024, @doi [ ] 10.1093/mnras/stae1405 , https://ui.adsabs.harvard.edu/abs/2024MNRAS.531.4085F 531, 4085
2024 doi
-
[27]
Gaia Collaboration 2022, VizieR Online Data Catalog, https://ui.adsabs.harvard.edu/abs/2022yCat.1357....0G p. I/357
2022
-
[28]
Goodman J., Weare J., 2010, @doi [Communications in Applied Mathematics and Computational Science] 10.2140/camcos.2010.5.65 , https://ui.adsabs.harvard.edu/abs/2010CAMCS...5...65G 5, 65
2010 doi
-
[29]
O., Corbally C
Gray R. O., Corbally C. J., 1994, @doi [ ] 10.1086/116893 , https://ui.adsabs.harvard.edu/abs/1994AJ....107..742G 107, 742
1994 doi
-
[30]
J., 1998, @doi [ ] 10.1023/A:1005161325181 , https://ui.adsabs.harvard.edu/abs/1998SSRv...85..161G 85, 161
Grevesse N., Sauval A. J., 1998, @doi [ ] 10.1023/A:1005161325181 , https://ui.adsabs.harvard.edu/abs/1998SSRv...85..161G 85, 161
1998 doi
-
[31]
T., 1970, @doi [ ] 10.1086/150609 , https://ui.adsabs.harvard.edu/abs/1970ApJ...161.1083H 161, 1083
Hoxie D. T., 1970, @doi [ ] 10.1086/150609 , https://ui.adsabs.harvard.edu/abs/1970ApJ...161.1083H 161, 1083
1970 doi
-
[32]
A., Charbonneau D., Noyes R
Knutson H. A., Charbonneau D., Noyes R. W., Brown T. M., Gilliland R. L., 2007, @doi [ ] 10.1086/510111 , https://ui.adsabs.harvard.edu/abs/2007ApJ...655..564K 655, 564
2007 doi
-
[33]
M., Witzke V., Shapiro A
Kostogryz N. M., Witzke V., Shapiro A. I., Solanki S. K., Maxted P. F. L., Kurucz R. L., Gizon L., 2022, @doi [ ] 10.1051/0004-6361/202243722 , https://ui.adsabs.harvard.edu/abs/2022A&A...666A..60K 666, A60
2022 doi
-
[34]
M., et al., 2024, @doi [Nature Astronomy] 10.1038/s41550-024-02252-5 , https://ui.adsabs.harvard.edu/abs/2024NatAs.tmp...73K
Kostogryz N. M., et al., 2024, @doi [Nature Astronomy] 10.1038/s41550-024-02252-5 , https://ui.adsabs.harvard.edu/abs/2024NatAs.tmp...73K
2024 doi
-
[35]
Kreidberg L., 2015, @doi [ ] 10.1086/683602 , https://ui.adsabs.harvard.edu/abs/2015PASP..127.1161K 127, 1161
2015 doi
-
[36]
L., 2005, Memorie della Societa Astronomica Italiana Supplementi, https://ui.adsabs.harvard.edu/abs/2005MSAIS...8...14K 8, 14
Kurucz R. L., 2005, Memorie della Societa Astronomica Italiana Supplementi, https://ui.adsabs.harvard.edu/abs/2005MSAIS...8...14K 8, 14
2005
-
[37]
Lightkurve Collaboration et al., 2018, Lightkurve: Kepler and TESS time series analysis in Python , Astrophysics Source Code Library ( @eprint ascl 1812.013 )
2018
-
[38]
G., Steffen M., Freytag B., 2023, @doi [ ] 10.1051/0004-6361/202346783 , https://ui.adsabs.harvard.edu/abs/2023A&A...679A..65L 679, A65
Ludwig H. G., Steffen M., Freytag B., 2023, @doi [ ] 10.1051/0004-6361/202346783 , https://ui.adsabs.harvard.edu/abs/2023A&A...679A..65L 679, A65
2023 doi
-
[39]
J., 2014, @doi [ ] 10.1088/0004-637X/787/1/70 , https://ui.adsabs.harvard.edu/abs/2014ApJ...787...70M 787, 70
MacDonald J., Mullan D. J., 2014, @doi [ ] 10.1088/0004-637X/787/1/70 , https://ui.adsabs.harvard.edu/abs/2014ApJ...787...70M 787, 70
2014 doi
-
[40]
V., et al., 2019, @doi [ ] 10.1051/0004-6361/201833669 , https://ui.adsabs.harvard.edu/abs/2019A&A...624A..68M 624, A68
Martin D. V., et al., 2019, @doi [ ] 10.1051/0004-6361/201833669 , https://ui.adsabs.harvard.edu/abs/2019A&A...624A..68M 624, A68
2019 doi
-
[41]
Maxted P. F. L., 2016, @doi [ ] 10.1051/0004-6361/201628579 , https://ui.adsabs.harvard.edu/abs/2016A&A...591A.111M 591, A111
2016 doi
-
[42]
Maxted P. F. L., 2018, @doi [ ] 10.1051/0004-6361/201832944 , https://ui.adsabs.harvard.edu/abs/2018A&A...616A..39M 616, A39
2018 doi
-
[43]
Maxted P. F. L., 2023, @doi [ ] 10.1093/mnras/stac3741 , https://ui.adsabs.harvard.edu/abs/2023MNRAS.519.3723M 519, 3723
2023 doi
-
[44]
Maxted P. F. L., Triaud A. H. M. J., Martin D. V., 2023, @doi [Universe] 10.3390/universe9120498 , https://ui.adsabs.harvard.edu/abs/2023Univ....9..498M 9, 498
2023 doi
-
[45]
D., Homeier D., 2017, @doi [ ] 10.3847/1538-3881/aa8405 , https://ui.adsabs.harvard.edu/abs/2017AJ....154..111M 154, 111
Morello G., Tsiaras A., Howarth I. D., Homeier D., 2017, @doi [ ] 10.3847/1538-3881/aa8405 , https://ui.adsabs.harvard.edu/abs/2017AJ....154..111M 154, 111
2017 doi
-
[46]
J., MacDonald J., 2001, @doi [ ] 10.1086/322336 , https://ui.adsabs.harvard.edu/abs/2001ApJ...559..353M 559, 353
Mullan D. J., MacDonald J., 2001, @doi [ ] 10.1086/322336 , https://ui.adsabs.harvard.edu/abs/2001ApJ...559..353M 559, 353
2001 doi
-
[47]
M., Huber K
M \"u ller H. M., Huber K. F., Czesla S., Wolter U., Schmitt J. H. M. M., 2013, @doi [ ] 10.1051/0004-6361/201322079 , https://ui.adsabs.harvard.edu/abs/2013A&A...560A.112M 560, A112
2013 doi
-
[48]
A., Espinoza N., 2022, @doi [ ] 10.3847/1538-3881/ac5f55 , https://ui.adsabs.harvard.edu/abs/2022AJ....163..228P 163, 228
Patel J. A., Espinoza N., 2022, @doi [ ] 10.3847/1538-3881/ac5f55 , https://ui.adsabs.harvard.edu/abs/2022AJ....163..228P 163, 228
2022 doi
-
[49]
M., 1997, @doi [ ] 10.1086/118552 , http://adsabs.harvard.edu/abs/1997AJ....114.1195P 114, 1195
Popper D. M., 1997, @doi [ ] 10.1086/118552 , http://adsabs.harvard.edu/abs/1997AJ....114.1195P 114, 1195
1997 doi
-
[50]
Queloz D., et al., 2000, , https://ui.adsabs.harvard.edu/abs/2000A&A...354...99Q 354, 99
2000
-
[51]
R., et al., 2014, in Oschmann Jacobus M
Ricker G. R., et al., 2014, in Oschmann Jacobus M. J., Clampin M., Fazio G. G., MacEwen H. A., eds, Society of Photo-Optical Instrumentation Engineers (SPIE) Conference Series Vol. 9143, Space Telescopes and Instrumentation 2014: Optical, Infrared, and Millimeter Wave. p. 9143...
2014 arXiv
-
[52]
R., et al., 2015, @doi [Journal of Astronomical Telescopes, Instruments, and Systems] 10.1117/1.JATIS.1.1.014003 , http://adsabs.harvard.edu/abs/2015JATIS...1a4003R 1, 014003
Ricker G. R., et al., 2015, @doi [Journal of Astronomical Telescopes, Instruments, and Systems] 10.1117/1.JATIS.1.1.014003 , http://adsabs.harvard.edu/abs/2015JATIS...1a4003R 1, 014003
2015 doi
-
[53]
R., Welsh W
Short D. R., Welsh W. F., Orosz J. A., Windmiller G., Maxted P. F. L., 2019, @doi [Research Notes of the American Astronomical Society] 10.3847/2515-5172/ab3a3e , https://ui.adsabs.harvard.edu/abs/2019RNAAS...3..117S 3, 117
2019 doi
-
[54]
Spada F., Demarque P., Kim Y.-C., Sills A., 2013, @doi [ ] 10.1088/0004-637X/776/2/87 , http://adsabs.harvard.edu/abs/2013ApJ...776...87S 776, 87
2013 doi
-
[55]
G., et al., 2019, @doi [ ] 10.3847/1538-3881/ab3467 , https://ui.adsabs.harvard.edu/abs/2019AJ....158..138S 158, 138
Stassun K. G., et al., 2019, @doi [ ] 10.3847/1538-3881/ab3467 , https://ui.adsabs.harvard.edu/abs/2019AJ....158..138S 158, 138
2019 doi
-
[56]
I., et al., 2024, @doi [ ] 10.1093/mnras/stad3866 , https://ui.adsabs.harvard.edu/abs/2024MNRAS.528.5703S 528, 5703
Swayne M. I., et al., 2024, @doi [ ] 10.1093/mnras/stad3866 , https://ui.adsabs.harvard.edu/abs/2024MNRAS.528.5703S 528, 5703
2024 doi
-
[57]
Triaud A. H. M. J., et al., 2017, @doi [ ] 10.1051/0004-6361/201730993 , https://ui.adsabs.harvard.edu/abs/2017A&A...608A.129T 608, A129
2017 doi
-
[58]
Verma K., Maxted P. F. L., Singh A., Ludwig H. G., Sable Y., 2024, @doi [ ] 10.1093/mnras/stae2344 , https://ui.adsabs.harvard.edu/abs/2024MNRAS.534.3893V 534, 3893
2024 doi
-
[59]
S., Basu S., Ong J
Viani L. S., Basu S., Ong J. M. J., Bonaca A., Chaplin W. J., 2018, @doi [ ] 10.3847/1538-4357/aab7eb , https://ui.adsabs.harvard.edu/abs/2018ApJ...858...28V 858, 28
2018 doi
- [60]
Reviewed August 7, 2026 · model on record in the stance chip above.
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