REVIEW 2 major objections 6 minor 2 cited by
Metallicity Dependence of Giant Planets around M Dwarfs
T0 review · 2 major / 6 minor · reviewed 2026-08-11 · deepseek-v4-flash
Pith's one-line read This paper finds that M dwarfs hosting confirmed giant planets are systematically more metal-rich than field M dwarfs, at 4–5 sigma significance, and that hot and warm Jupiters around M dwarfs show the same host-metallicity preference.
desk verdict Homogeneous SpeX sample gives the cleanest evidence yet that M-dwarf giant planets prefer metal-rich hosts, but the proper-motion-selected field baseline needs validation before I'd trust the 4-5 sigma. 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 tool is a homogeneous metallicity scale applied to both samples: near-infrared H-band and K-band spectra from the single instrument SpeX, reduced with the same pipeline and converted to [Fe/H] and [M/H] using empirical calibrations anchored to wide binaries with Sun-like primaries. The field comparison sample comes from a SpeX survey of proper-motion-selected nearby M dwarfs, and the planet hosts were observed in the same mode with the same instrument. The statistical argument then rests on two-sample Kolmogorov–Smirnov and Anderson–Darling tests, with permutation and resampling procedures that fold in the metallicity measurement uncertainties, run separately on H-band and K-band outputs because the two calibrations show a small offset.
What would settle it
A decisive check would be an unbiased, volume-limited sample of M dwarfs with metallicities measured by an independent method, such as high-resolution optical spectroscopy, combined with a well-characterized giant planet survey: if the 4–5 sigma excess does not appear, the proper-motion or survey selection is the cause. A second decisive check is to show directly that the proper-motion-selected field sample's metallicity distribution differs from a Gaia-based volume-limited sample in a way that accounts for the excess.
Extended reading notes
Core claim
On the paper's own terms, the central discovery is that the iron abundance distributions of field M dwarfs and M dwarfs with confirmed giant planets cannot be drawn from the same parent distribution: Kolmogorov–Smirnov and Anderson–Darling tests give p-values between $4.9 \times 10^{-7}$ and $6.3 \times 10^{-5}$ depending on the band, corresponding to 4–5 $\sigma$ significance, and the result survives resampling of the metallicity uncertainties. Hot Jupiters ($a/R_* \le 20$) and warm Jupiters ($a/R_* > 20$) show indistinguishable metallicity distributions, and the paper finds no significant correlation between host metallicity and planet mass, no special metallicity excess for multi-planet hosts, and no apparent preference for higher metallicity among mid-to-late M dwarfs compared with early-M hosts. The authors interpret the metal-rich preference as evidence that giant planet formation around M dwarfs proceeds through a channel shared with FGK stars, likely core accretion.
Load-bearing premise
The load-bearing premise is that the 746 proper-motion-selected field M dwarfs fairly represent the parent population from which the 22 giant-planet hosts are drawn; if that field sample is biased toward older, metal-poor stars, the measured metallicity excess could be a selection artifact.
Editorial extensions
If this is right
- The giant planet–metallicity correlation, previously well established for FGK stars, extends to M dwarfs, so any formation theory must explain the same metal-rich preference across a wide range of stellar mass.
- Hot and warm Jupiters around M dwarfs appear to share a common origin, since their host metallicity distributions are statistically indistinguishable.
- Contamination of the field sample by undetected giant planets is negligible: injecting up to 22 high-metallicity hosts into the field sample shifts its median metallicity by less than 1 sigma.
- Within the current sample, stellar iron abundance does not set the final giant planet mass, as no significant host metallicity–planet mass correlation is found.
Reading between the lines
- Beyond the paper: if the correlation is real, the giant planet occurrence rate around M dwarfs should rise steeply with [Fe/H], and future uniform surveys could measure that slope and compare it with the FGK power law.
- Beyond the paper: the tentative weaker metallicity preference of cold Jupiters with $a/R_* > 200$ hints that wide-orbit giants may form through a different pathway, such as disk gravitational instability; this is a testable prediction for long-term radial velocity and astrometry surveys.
- Beyond the paper: because M dwarfs are the most common stars in the solar neighborhood, a robust planet–metallicity relation here strengthens the case for prioritizing metal-rich M dwarfs in future transit and RV searches for giant planets.
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. The paper compares the stellar metallicity distributions of 22 M dwarfs hosting 27 confirmed giant planets with 746 field M dwarfs without known giant planets. All metallicities are derived homogeneously from IRTF/SpeX near-infrared spectra using the same methodology and calibrations. The authors report that giant planets favor metal-rich M dwarfs at 4–5 sigma significance, that hot (a/R* <= 20) and warm (a/R* > 20) Jupiters have indistinguishable metallicity distributions, and that there is no significant correlation between stellar metallicity and planet mass. They also examine multi-giant-planet systems and the dependence of the metallicity signal on stellar mass.
Significance. If the central claim holds, this is an important result: it would extend the well-established giant-planet metallicity correlation from FGK stars to M dwarfs, with direct implications for core-accretion formation models. The paper's strengths include the use of a single instrument and homogeneous analysis for all planet hosts, public machine-readable catalogs, permutation-based Anderson-Darling tests with Monte Carlo propagation of metallicity uncertainties, and an explicit contamination simulation for undetected giant planets in the field sample. The authors are also transparent about known limitations, including calibration extrapolation beyond the validated parameter range and the heterogeneity of the planet-survey selection functions. The main risk to the conclusion is the kinematic selection of the field sample, which is not tested against a volume-limited benchmark.
major comments (2)
- [Section 2.1 and Section 5.1, Table 5] The field M dwarf sample is drawn from Terrien et al. (2012), whose targets were selected primarily from the Lépine & Shara (2005) and Lépine & Gaidos (2011) proper-motion catalogs, whereas the 22 planet hosts come from TESS, HATS, NGTS, and RV surveys that do not apply a proper-motion cut. High proper-motion M dwarfs in the solar neighborhood are kinematically older and systematically more metal-poor on average, so this selection mismatch could lower the field metallicity distribution relative to the parent population from which the planet hosts are drawn, inflating the 4–5 sigma excess reported in Table 5. The paper simulates contamination by undetected giant planets but does not test the representativeness of the field sample against a volume-limited sample, nor does it compare the kinematic properties (e.g., tangential velocity or Gaia-based U,V,W) of the two samples. I request two additional robustness tests: (a) compare the field sample metallicity distribution to a volume-complete M dwarf sample (e.g., a Gaia-selected volume-limited sample or the 10 pc RECONS sample), and (b) repeat the K-S and A-D tests after restricting both samples to a common proper-motion or tangential-velocity range. Until these tests are provided, the significance level of the central metallicity-excess claim is not fully established.
- [Section 4.1 and Table 3] The paper acknowledges that the Mann et al. (2013) and Rojas-Ayala et al. (2012) metallicity calibrations are untested for M dwarfs beyond M5 and for [Fe/H] > 0.56 dex, yet the planet sample contains stars outside this range, including GJ 3512 (M5V), HIP 79431 ([Fe/H]M13,K = 0.72), and TOI-5205 ([Fe/H]M13,K = 0.69). Because these are among the most metal-rich hosts, they could influence the significance of the K-S and A-D results. The authors should perform a sensitivity test that excludes these extrapolated points and report the resulting p-values, or otherwise demonstrate quantitatively that the extrapolation does not drive the conclusion.
minor comments (6)
- [Title page] The author name 'Sharon X. W ang' appears to contain a spacing typo; it should likely read 'Sharon X. Wang'.
- [Section 2.1] The contamination simulation sentence is ambiguous: 'We randomly choose 22 stars in the field M dwarf sample, assuming they host giant planets and have the highest metallicity (0.7 dex) as in our planet sample' could be read as selecting the highest-metallicity stars rather than assigning the highest planet-sample metallicity to randomly chosen stars. Please rephrase for clarity.
- [Section 4.2] The phrase 'we do not induce the constraint on the scaled semi-major axis a/R* from the light curve' should likely be 'we do not include the constraint'.
- [Figure 1] The right panel of Figure 1 appears to lack an explicit color-bar label for the metallicity color coding, and the left panel caption could clarify what the color scale represents; please add the missing labels.
- [Section 5.2, Figure 6] The cold Jupiter boundary at a/R* = 200 is described as 'somewhat arbitrarily' chosen, and the comparison between hot and cold Jupiters yields p-values between 4.4e-3 and 2.6e-1. Given the multiple testing inherent in choosing the boundary, the authors should state explicitly that these p-values are not corrected for the boundary choice and that the trend is tentative, as they do in the text.
- [Table 5] For the K-band field vs. M+WJ comparison, the K-S fraction of resampled trials with p <= 0.003 is only 24.4%, and the A-D fraction is 49.2%; this indicates that the warm-Jupiter subgroup result is not robust to metallicity uncertainties in the K band. The text in Section 5.1 discusses the combined sample but does not mention this limited robustness for the subgroup; adding a sentence would be helpful.
Circularity Check
No significant circularity: the central claim is an empirical comparison of metallicity distributions measured with external calibrations applied uniformly to both samples.
full rationale
The paper makes no fitted-parameter-to-prediction move: it measures [Fe/H] and [M/H] for both the 22 planet hosts and the 746 field dwarfs with the same SpeX SXD spectra and the same external calibrations (Mann et al. 2013; Rojas-Ayala et al. 2012), then runs K-S and A-D tests on the resulting empirical distributions. The calibrations are trained on wide binaries with Sun-like primaries, not on the planet-host/field distinction, so the comparison is not self-definitional. The contamination simulation in Sec. 2.1 is a sensitivity test, not a fit that is later called a prediction. The only self-citations (Gan et al. 2023b for the hot/warm Jupiter split, Gan et al. 2023a for occurrence-rate context) are conventional or contextual and do not carry the central claim. The acknowledged proper-motion selection of the Terrien field sample and the heterogeneous survey selection functions are possible systematic biases, but selection concerns are not circular derivations; no equation reduces the conclusion to its inputs. The paper also states limitations about calibration extrapolation beyond M5 and [Fe/H] > 0.56 dex, which are honest scope restrictions rather than circularity. Score 0.
Assumptions & free parameters
free parameters (1)
- a/R* = 200 cold Jupiter boundary =
200
assumptions (4)
- ad hoc to paper Metallicity calibrations of Mann et al. (2013) and Rojas-Ayala et al. (2012) remain valid for all sample stars, including those beyond M5 and [Fe/H] > 0.56 dex.
- domain assumption The field M dwarf sample, selected by proper motion, is representative of the parent stellar population from which the giant planet hosts are drawn.
- domain assumption A spectral type difference of at most 1.0 subtype between the two determination methods does not systematically bias the derived metallicities.
- standard math Standard statistical tests (K-S and A-D with permutation resampling) are valid for these sample sizes and distributions.
Cite this review
Pith. "Pith review of Metallicity Dependence of Giant Planets around M Dwarfs." pith.science (2026). https://pith.science/paper/PB6VK6NK
@misc{pith2026241206137,
author = {Pith},
title = {Pith review of: Metallicity Dependence of Giant Planets around M Dwarfs},
year = {2026},
howpublished = {\url{https://pith.science/paper/PB6VK6NK}},
note = {Machine review of arXiv:2412.06137}
}
abstract
We investigate the stellar metallicity ([Fe/H] and [M/H]) dependence of giant planets around M dwarfs by comparing the metallicity distribution of 746 field M dwarfs without known giant planets with a sample of 22 M dwarfs hosting confirmed giant planets. All metallicity measurements are homogeneously obtained through the same methodology based on the near-infrared spectra collected with a single instrument SpeX mounted on the NASA Infrared Telescope Facility. We find that 1) giant planets favor metal-rich M dwarfs at a 4-5$\sigma$ confidence level, depending on the band of spectra used to derive metallicity; 2) hot ($a/R_\ast\leq 20$) and warm ($a/R_\ast> 20$) Jupiters do not show a significant difference in the metallicity distribution. Our results suggest that giant planets around M and FGK stars, which are already known to prefer metal-rich hosts, probably have a similar formation channel. In particular, hot and warm Jupiters around M dwarfs may have the same origin as they have indistinguishable metallicity distributions. With the refined stellar and planetary parameters, we examine the stellar metallicities and the masses of giant planets where we find no significant correlation. M dwarfs with multiple giant planets or with a single giant planet have similar stellar metallicities. Mid-to-late type M stars hosting gas giants do not show an apparent preference to higher metallicities compared with those early-M dwarfs with gas giants and field M dwarfs.
Figures
Figures from the paper (7 more)
Forward citations
Cited by 2 Pith papers
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Uniform Metallicity Measurements of M Dwarf Planet Hosts Support Metallicity-Dependent Sub-Neptune Formation
Homogeneous SpeX metallicities of M-dwarf planet hosts show sub-Neptune hosts are more metal-rich than super-Earth hosts, supporting ice-line formation plus migration.
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Formation of Giant Planets
A comprehensive review argues that core accretion is the dominant pathway for giant planet formation, while gas disk fragmentation rarely produces planets.
Reference graph
Works this paper leans on
-
[1]
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-
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-
[3]
thebibliography [1] 20pt to REFERENCES 6pt =0pt -12pt 10pt plus 3pt =0pt =0pt =1pt plus 1pt =0pt =0pt -12pt =13pt plus 1pt =20pt =13pt plus 1pt \@M =10000 =-1.0em =0pt =0pt 0pt =0pt =1.0em @enumiv\@empty 10000 10000 `\.\@m \@noitemerr \@latex@warning Empty `thebibliography' environment \@ifnextchar \@reference \@latexerr Missing key on reference command E...
arXiv 2021
-
[4]
2019, Geosciences, 9, 105, 10.3390/geosciences9030105
Adibekyan , V. 2019, Geosciences, 9, 105, 10.3390/geosciences9030105
-
[5]
L., Chen , X., Ciardi , D., et al
Akeson , R. L., Chen , X., Ciardi , D., et al. 2013, , 125, 989, 10.1086/672273
doi:10.1086/672273 2013
-
[6]
Anglada-Escud \'e , G., Boss , A. P., Weinberger , A. J., et al. 2012, , 746, 37, 10.1088/0004-637X/746/1/37
-
[7]
Apps , K., Clubb , K. I., Fischer , D. A., et al. 2010, , 122, 156, 10.1086/651058
-
[8]
2018, , 475, 4467, 10.1093/mnras/stx2778
Bayliss , D., Gillen , E., Eigm \"u ller , P., et al. 2018, , 475, 4467, 10.1093/mnras/stx2778
Show all 108 references
-
[9]
M., Ordieres-Mer \'e , J., et al
Bello-Garc \' a , A., Passegger , V. M., Ordieres-Mer \'e , J., et al. 2023, , 673, A105, 10.1051/0004-6361/202243934
2023 doi
-
[10]
2013, , 549, A109, 10.1051/0004-6361/201014704
Bonfils , X., Delfosse , X., Udry , S., et al. 2013, , 549, A109, 10.1051/0004-6361/201014704
2013 doi
-
[11]
S., Desidera , S., Benatti , S., et al
Bonomo , A. S., Desidera , S., Benatti , S., et al. 2017, , 602, A107, 10.1051/0004-6361/201629882
2017 doi
-
[12]
J., Koch , D., Basri , G., et al
Borucki , W. J., Koch , D., Basri , G., et al. 2010, Science, 327, 977, 10.1126/science.1185402
2010 doi
-
[13]
Boss , A. P. 2002, , 567, L149, 10.1086/340108
2002 doi
- [14]
-
[15]
M., Bayliss , D., & Van Eylen , V
Bryant , E. M., Bayliss , D., & Van Eylen , V. 2023, , 10.1093/mnras/stad626
2023 doi
-
[16]
M., Bayliss , D., Hartman , J
Bryant , E. M., Bayliss , D., Hartman , J. D., et al. 2024, , 533, 3893, 10.1093/mnras/stae2034
2024 doi
- [17]
-
[18]
2021, , 656, A72, 10.1051/0004-6361/202140390
Burn , R., Schlecker , M., Mordasini , C., et al. 2021, , 656, A72, 10.1051/0004-6361/202140390
2021 doi
-
[19]
P., Johnson , J
Butler , R. P., Johnson , J. A., Marcy , G. W., et al. 2006, , 118, 1685, 10.1086/510500
2006 doi
-
[20]
I., Stefansson , G., Kanodia , S., et al
Ca \ n as , C. I., Stefansson , G., Kanodia , S., et al. 2020, , 160, 147, 10.3847/1538-3881/abac67
2020 doi
-
[21]
I., Kanodia , S., Bender , C
Ca \ n as , C. I., Kanodia , S., Bender , C. F., et al. 2022, , 164, 50, 10.3847/1538-3881/ac7804
2022 doi
-
[22]
Correia , A. C. M., Couetdic , J., Laskar , J., et al. 2010, , 511, A21, 10.1051/0004-6361/200912700
2010 doi
-
[23]
C., Rayner , J
Cushing , M. C., Rayner , J. T., & Vacca , W. D. 2005, , 623, 1115, 10.1086/428040
2005 doi
-
[24]
C., Vacca , W
Cushing , M. C., Vacca , W. D., & Rayner , J. T. 2004, , 116, 362, 10.1086/382907
2004 doi
-
[25]
M., Skrutskie , M
Cutri , R. M., Skrutskie , M. F., van Dyk , S., et al. 2003, 2MASS All Sky Catalog of point sources
2003
-
[26]
I., et al
Delamer , M., Kanodia , S., Ca \ n as , C. I., et al. 2024, , 962, L22, 10.3847/2041-8213/ad1a19
2024 doi
-
[27]
D., Hardegree-Ullman , K., Schlieder , J
Dressing , C. D., Hardegree-Ullman , K., Schlieder , J. E., et al. 2019, , 158, 87, 10.3847/1538-3881/ab2895
2019 doi
-
[28]
D., et al
Endl , M., Robertson , P., Cochran , W. D., et al. 2022, , 164, 238, 10.3847/1538-3881/ac8e05
2022 doi
- [29]
-
[30]
Gaia Collaboration , Vallenari , A., Brown , A. G. A., et al. 2023, , 674, A1, 10.1051/0004-6361/202243940
2023 doi
-
[31]
Gaidos , E., & Mann , A. W. 2014, , 791, 54, 10.1088/0004-637X/791/1/54
2014 doi
-
[32]
W., L \'e pine , S., et al
Gaidos , E., Mann , A. W., L \'e pine , S., et al. 2014, , 443, 2561, 10.1093/mnras/stu1313
2014 doi
- [33]
-
[34]
X., Wang , S., et al
Gan , T., Wang , S. X., Wang , S., et al. 2023 a , , 165, 17, 10.3847/1538-3881/ac9b12
2023 doi
-
[35]
2023 b , , 166, 165, 10.3847/1538-3881/acf56d
Gan , T., Cadieux , C., Jahandar , F., et al. 2023 b , , 166, 165, 10.3847/1538-3881/acf56d
2023 doi
-
[36]
1997, , 285, 403, 10.1093/mnras/285.2.403
Gonzalez , G. 1997, , 285, 403, 10.1093/mnras/285.2.403
1997 doi
-
[37]
D., et al
Gore , R., Giacalone , S., Dressing , C. D., et al. 2024, , 271, 48, 10.3847/1538-4365/ad2c0c
2024 doi
-
[38]
S., Butler , R
Haghighipour , N., Vogt , S. S., Butler , R. P., et al. 2010, , 715, 271, 10.1088/0004-637X/715/1/271
2010 doi
-
[39]
2024, , 167, 4, 10.3847/1538-3881/ad09c2
Han , T., Robertson , P., Kanodia , S., et al. 2024, , 167, 4, 10.3847/1538-3881/ad09c2
2024 doi
-
[40]
D., Bayliss , D., Brahm , R., et al
Hartman , J. D., Bayliss , D., Brahm , R., et al. 2015, , 149, 166, 10.1088/0004-6256/149/5/166
2015 doi
-
[41]
D., Bakos , G
Hartman , J. D., Bakos , G. \'A ., Csubry , Z., et al. 2023, , 166, 163, 10.3847/1538-3881/acf56e
2023 doi
-
[42]
D., Bayliss , D., Brahm , R., et al
Hartman , J. D., Bayliss , D., Brahm , R., et al. 2024, , 168, 202, 10.3847/1538-3881/ad6f07
2024 doi
-
[43]
A., Templeton , M., Terrell , D., et al
Henden , A. A., Templeton , M., Terrell , D., et al. 2016, VizieR Online Data Catalog, II/336
2016
-
[44]
J., Jao , W.-C., Subasavage , J
Henry , T. J., Jao , W.-C., Subasavage , J. P., et al. 2006, , 132, 2360, 10.1086/508233
2006 doi
-
[45]
Hodges, J. L. 1958, Arkiv f \"o r Matematik, 3, 469. https://api.semanticscholar.org/CorpusID:121451525
1958
- [46]
-
[47]
W., Johnson , J
Howard , A. W., Johnson , J. A., Marcy , G. W., et al. 2010, , 721, 1467, 10.1088/0004-637X/721/2/1467
2010 doi
-
[48]
Ida , S., & Lin , D. N. C. 2004 a , , 616, 567, 10.1086/424830
2004 doi
- [49]
-
[50]
2024, , 966, 56, 10.3847/1538-4357/ad3063
Jahandar , F., Doyon , R., Artigau , \'E ., et al. 2024, , 966, 56, 10.3847/1538-4357/ad3063
2024 doi
- [51]
-
[52]
A., Butler , R
Johnson , J. A., Butler , R. P., Marcy , G. W., et al. 2007, , 670, 833, 10.1086/521720
2007 doi
-
[53]
A., Howard , A
Johnson , J. A., Howard , A. W., Marcy , G. W., et al. 2010, , 122, 149, 10.1086/651007
2010 doi
-
[54]
A., Gazak , J
Johnson , J. A., Gazak , J. Z., Apps , K., et al. 2012, , 143, 111, 10.1088/0004-6256/143/5/111
2012 doi
-
[55]
D., Bayliss , D., et al
Jord \'a n , A., Hartman , J. D., Bayliss , D., et al. 2022, , 163, 125, 10.3847/1538-3881/ac4a77
2022 doi
-
[56]
2023, , 10.1093/pasj/psad031
Kagetani , T., Narita , N., Kimura , T., et al. 2023, , 10.1093/pasj/psad031
2023 doi
-
[57]
I., et al
Kanodia , S., Libby-Roberts , J., Ca \ n as , C. I., et al. 2022, , 164, 81, 10.3847/1538-3881/ac7c20
2022 doi
-
[58]
2023, , 165, 120, 10.3847/1538-3881/acabce
Kanodia , S., Mahadevan , S., Libby-Roberts , J., et al. 2023, , 165, 120, 10.3847/1538-3881/acabce
2023 doi
-
[59]
2011, , 142, 138, 10.1088/0004-6256/142/4/138
L \'e pine , S., & Gaidos , E. 2011, , 142, 138, 10.1088/0004-6256/142/4/138
2011 doi
-
[60]
L \'e pine , S., & Shara , M. M. 2005, , 129, 1483, 10.1086/427854
2005 doi
-
[61]
Lin , A. S. J., Libby-Roberts , J. E., Alvarado-Montes , J. A., et al. 2023, , 166, 90, 10.3847/1538-3881/ace1ef
2023 doi
-
[62]
2019, , 632, A7, 10.1051/0004-6361/201936309
Liu , B., Lambrechts , M., Johansen , A., & Liu , F. 2019, , 632, A7, 10.1051/0004-6361/201936309
2019 doi
-
[63]
Lopez-Santiago , J., Martino , L., M \' guez , J., & V \'a zquez , M. A. 2020, , 160, 273, 10.3847/1538-3881/abc171
2020 doi
-
[64]
2012, , 541, A40, 10.1051/0004-6361/201218800
Maldonado , J., Eiroa , C., Villaver , E., Montesinos , B., & Mora , A. 2012, , 541, A40, 10.1051/0004-6361/201218800
2012 doi
-
[65]
2020, , 644, A68, 10.1051/0004-6361/202039478
Maldonado , J., Micela , G., Baratella , M., et al. 2020, , 644, A68, 10.1051/0004-6361/202039478
2020 doi
-
[66]
W., Brewer , J
Mann , A. W., Brewer , J. M., Gaidos , E., L \'e pine , S., & Hilton , E. J. 2013, , 145, 52, 10.1088/0004-6256/145/2/52
2013 doi
-
[67]
W., Feiden , G
Mann , A. W., Feiden , G. A., Gaidos , E., Boyajian , T., & von Braun , K. 2015, , 804, 64, 10.1088/0004-637X/804/1/64
2015 doi
-
[68]
W., Dupuy , T., Kraus , A
Mann , A. W., Dupuy , T., Kraus , A. L., et al. 2019, , 871, 63, 10.3847/1538-4357/aaf3bc
2019 doi
-
[69]
W., Butler , R
Marcy , G. W., Butler , R. P., Vogt , S. S., Fischer , D., & Lissauer , J. J. 1998, , 505, L147, 10.1086/311623
1998 doi
-
[70]
M., Montes , D., et al
Marfil , E., Tabernero , H. M., Montes , D., et al. 2021, , 656, A162, 10.1051/0004-6361/202141980
2021 doi
-
[71]
1995, , 378, 355, 10.1038/378355a0
Mayor , M., & Queloz , D. 1995, , 378, 355, 10.1038/378355a0
1995 doi
-
[72]
T., Crepp , J
Montet , B. T., Crepp , J. R., Johnson , J. A., Howard , A. W., & Marcy , G. W. 2014, , 781, 28, 10.1088/0004-637X/781/1/28
2014 doi
-
[73]
C., Mustill , A
Morales , J. C., Mustill , A. J., Ribas , I., et al. 2019, Science, 365, 1441, 10.1126/science.aax3198
2019 doi
-
[74]
2008, in Astronomical Society of the Pacific Conference Series, Vol
Mordasini , C., Alibert , Y., Benz , W., & Naef , D. 2008, in Astronomical Society of the Pacific Conference Series, Vol. 398, Extreme Solar Systems, ed. D. Fischer , F. A. Rasio , S. E. Thorsett , & A. Wolszczan , 235, 10.48550/arXiv.0710.5667
-
[75]
2018, , 156, 221, 10.3847/1538-3881/aae391
Narang , M., Manoj , P., Furlan , E., et al. 2018, , 156, 221, 10.3847/1538-3881/aae391
2018 doi
-
[76]
R., Charbonneau , D., Irwin , J., et al
Newton , E. R., Charbonneau , D., Irwin , J., et al. 2014, , 147, 20, 10.1088/0004-6256/147/1/20
2014 doi
-
[77]
R., Charbonneau , D., Irwin , J., & Mann , A
Newton , E. R., Charbonneau , D., Irwin , J., & Mann , A. W. 2015, , 800, 85, 10.1088/0004-637X/800/2/85
2015 doi
-
[78]
2020, , 491, 4481, 10.1093/mnras/stz3207
Osborn , A., & Bayliss , D. 2020, , 491, 4481, 10.1093/mnras/stz3207
2020 doi
-
[79]
R., et al
Parviainen , H., Palle , E., Zapatero-Osorio , M. R., et al. 2021, , 645, A16, 10.1051/0004-6361/202038934
2021 doi
-
[80]
K., Winters , J
Pass , E. K., Winters , J. G., Charbonneau , D., et al. 2023, , 166, 11, 10.3847/1538-3881/acd349
2023 doi
-
[81]
M., Schweitzer , A., Shulyak , D., et al
Passegger , V. M., Schweitzer , A., Shulyak , D., et al. 2019, , 627, A161, 10.1051/0004-6361/201935679
2019 doi
-
[82]
M., Bello-Garc \' a , A., Ordieres-Mer \'e , J., et al
Passegger , V. M., Bello-Garc \' a , A., Ordieres-Mer \'e , J., et al. 2022, , 658, A194, 10.1051/0004-6361/202141920
2022 doi
-
[83]
A., Marcy , G
Petigura , E. A., Marcy , G. W., Winn , J. N., et al. 2018, , 155, 89, 10.3847/1538-3881/aaa54c
2018 doi
-
[84]
2023, , 677, A122, 10.1051/0004-6361/202346476
Pinamonti , M., Barbato , D., Sozzetti , A., et al. 2023, , 677, A122, 10.1051/0004-6361/202346476
2023 doi
-
[85]
B., Hubickyj , O., Bodenheimer , P., et al
Pollack , J. B., Hubickyj , O., Bodenheimer , P., et al. 1996, , 124, 62, 10.1006/icar.1996.0190
1996
-
[86]
M., Trifonov , T., et al
Quirrenbach , A., Passegger , V. M., Trifonov , T., et al. 2022, , 663, A48, 10.1051/0004-6361/202142915
2022 doi
-
[87]
T., Cushing , M
Rayner , J. T., Cushing , M. C., & Vacca , W. D. 2009, , 185, 289, 10.1088/0067-0049/185/2/289
2009 doi
-
[88]
T., Toomey , D
Rayner , J. T., Toomey , D. W., Onaka , P. M., et al. 2003, , 115, 362, 10.1086/367745
2003 doi
-
[89]
2021, , 650, A201, 10.1051/0004-6361/202140985
Reyl \'e , C., Jardine , K., Fouqu \'e , P., et al. 2021, , 650, A201, 10.1051/0004-6361/202140985
2021 doi
-
[90]
R., Winn , J
Ricker , G. R., Winn , J. N., Vanderspek , R., et al. 2015, Journal of Astronomical Telescopes, Instruments, and Systems, 1, 014003, 10.1117/1.JATIS.1.1.014003
2015 doi
-
[91]
J., Laughlin , G., Butler , R
Rivera , E. J., Laughlin , G., Butler , R. P., et al. 2010, , 719, 890, 10.1088/0004-637X/719/1/890
2010 doi
-
[92]
C., Reyl \'e , C., Derri \`e re , S., & Picaud , S
Robin , A. C., Reyl \'e , C., Derri \`e re , S., & Picaud , S. 2003, , 409, 523, 10.1051/0004-6361:20031117
2003 doi
-
[93]
R., Muirhead , P
Rojas-Ayala , B., Covey , K. R., Muirhead , P. S., & Lloyd , J. P. 2010, , 720, L113, 10.1088/2041-8205/720/1/L113
2010 doi
-
[94]
2012, , 748, 93, 10.1088/0004-637X/748/2/93
---. 2012, , 748, 93, 10.1088/0004-637X/748/2/93
2012 doi
-
[95]
J., Fulton , B
Rosenthal , L. J., Fulton , B. J., Hirsch , L. A., et al. 2021, , 255, 8, 10.3847/1538-4365/abe23c
2021 doi
-
[96]
2021, , 653, A114, 10.1051/0004-6361/202140968
Sabotta , S., Schlecker , M., Chaturvedi , P., et al. 2021, , 653, A114, 10.1051/0004-6361/202140968
2021 doi
-
[97]
C., Israelian , G., & Mayor , M
Santos , N. C., Israelian , G., & Mayor , M. 2004, , 415, 1153, 10.1051/0004-6361:20034469
2004 doi
-
[98]
W., & Stephens, M
Scholz, F. W., & Stephens, M. A. 1987, Journal of the American Statistical Association, 82, 918. http://www.jstor.org/stable/2288805
1987
-
[99]
F., Cutri , R
Skrutskie , M. F., Cutri , R. M., Stiening , R., et al. 2006, , 131, 1163, 10.1086/498708
2006 doi
-
[100]
G., Santos , N
Sousa , S. G., Santos , N. C., Israelian , G., Mayor , M., & Udry , S. 2011, , 533, A141, 10.1051/0004-6361/201117699
2011 doi
-
[101]
2023, , 670, L17, 10.1051/0004-6361/202245454
Sozzetti , A. 2023, , 670, L17, 10.1051/0004-6361/202245454
2023 doi
- [102]
-
[103]
C., Mahadevan , S., Bender , C
Terrien , R. C., Mahadevan , S., Bender , C. F., et al. 2012, , 747, L38, 10.1088/2041-8205/747/2/L38
2012 doi
-
[104]
C., Mahadevan , S., Deshpande , R., & Bender , C
Terrien , R. C., Mahadevan , S., Deshpande , R., & Bender , C. F. 2015, , 220, 16, 10.1088/0067-0049/220/1/16
2015 doi
-
[105]
P., Fortney , J
Thorngren , D. P., Fortney , J. J., Murray-Clay , R. A., & Lopez , E. D. 2016, , 831, 64, 10.3847/0004-637X/831/1/64
2016 doi
-
[106]
2018, , 609, A117, 10.1051/0004-6361/201731442
Trifonov , T., K \"u rster , M., Zechmeister , M., et al. 2018, , 609, A117, 10.1051/0004-6361/201731442
2018 doi
-
[107]
J., Muirhead , P
Veyette , M. J., Muirhead , P. S., Mann , A. W., & Allard , F. 2016, , 828, 95, 10.3847/0004-637X/828/2/95
2016 doi
-
[108]
E., et al
Virtanen , P., Gommers , R., Oliphant , T. E., et al. 2020, Nature Methods, 17, 261, 10.1038/s41592-019-0686-2
2020 doi
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