REVIEW 3 major objections 6 minor 1 cited by
Astronomical Cardiology: A Search For Heartbeat Stars Using $\textit{Gaia}$ and $\textit{TESS}$
T0 review · 3 major / 6 minor · reviewed 2026-08-07 · deepseek-v4-flash
Pith's one-line read Heartbeat-star pulses are a signature of hotter, slightly evolved binary primaries, not a random slice of close binaries.
desk verdict New catalog of ~108 TESS heartbeat stars from Gaia SB1/SB2 samples; the temperature trend is promising but needs completeness modeling. 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
Eq. (1) of the paper: a normalized flux model of the form $Z + S [1 - 3 \sin^2 i \sin^2(\nu + \omega)] / (1 - e \cos E)^3$, with the true anomaly $\nu$ and eccentric anomaly $E$ connected to period and time through Kepler's equation. This analytic tidal model converts the electrocardiogram-like phase-folded pulse into estimates of period, eccentricity, inclination, and argument of periastron without a full binary light-curve fit. The search uses known Gaia spectroscopic binaries as the parent sample, selects candidates by a chi-squared ratio against a straight-line fit plus an eccentricity cut, and then filters visually. The statistical part of the argument compares color-magnitude positions and heartbeat fractions in color bins, interpreted through the competition between stellar evolutionary time scales, which set the tidal amplitude, and dissipation time scales, which set how long the pulse lasts.
What would settle it
Simulate injecting synthetic heartbeat light curves with realistic period, eccentricity, and amplitude distributions into TESS photometry across the full color range, then run the same search pipeline to measure detection completeness as a function of color; if completeness falls for red stars, the observed drop in heartbeat fraction across the Kraft break could be a selection effect rather than a property of the binary population.
Extended reading notes
Core claim
The central claim is that heartbeat stars preferentially appear in hotter, slightly evolved binary systems rather than being a uniform sample of short-period binaries. The authors start from 186,905 spectroscopic binaries in the Gaia DR3 catalog, fold their TESS light curves, and identify 112 heartbeat systems with periods between 1.5 and 12.2 days and eccentricities up to 0.57. For single-lined systems, 85% of the periods and eccentricities agree with the Gaia orbital solutions, while only two of the ten double-lined systems agree, a mismatch the authors attribute to sparse radial-velocity sampling and the hot, early-type nature of these stars. For those two double-lined systems, the light curve together with the Gaia velocity amplitudes yields component masses and radii consistent with massive detached eclipsing binaries. On the color-magnitude diagram the non-giant heartbeat stars are more luminous at fixed color than their parent binary samples, and the heartbeat fraction rises rapidly with effective temperature, exceeding 1% for the hottest single-lined systems.
Load-bearing premise
The temperature trend rests on the assumption that the search detects heartbeat pulses around cool stars about as easily as around hot stars.
Editorial extensions
If this is right
- Among hot short-period Gaia single-lined binaries, more than 1% show heartbeat pulses, so the phenomenon is common rather than rare in that regime.
- Because non-giant heartbeat stars sit above the main sequence at fixed color, finding one is a sign that the primary has started evolving off the main sequence.
- The rapid drop in heartbeat fraction across the Kraft break implicates convective envelopes and long evolutionary timescales as the suppression mechanism.
- Only 2 of 10 double-lined heartbeat systems have Gaia orbital solutions in agreement with the light-curve orbits, so short-period hot SB2 solutions from Gaia DR3 need independent radial velocities or DR4 data.
- The 18 eclipsing and 10 tidally oscillating systems among the 112 provide specific targets for measuring tides and stellar interiors.
Reading between the lines
- If the temperature trend survives a completeness correction, it predicts that hot binaries of the same period and eccentricity should outnumber cool ones as heartbeat sources by a large factor; that can be tested by injecting synthetic heartbeat signals into the same TESS data.
- The same search strategy applied to binaries selected by radial-velocity scatter rather than a full orbital solution could recover longer-period heartbeat systems that short TESS sectors alias.
- With better radial velocities, the two successfully modeled double-lined systems show the route to homogeneous masses and radii of massive stars from heartbeat light curves alone.
- Because convective-envelope depth sets the dissipation rate, the model implies the heartbeat fraction at fixed temperature should depend on metallicity, a testable prediction once larger samples exist.
Signed reviews
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. The paper searches for heartbeat stars among Gaia DR3 single-lined (SB1) and double-lined (SB2) spectroscopic binaries using TESS Quick-Look Pipeline light curves. The authors identify 112 new heartbeat systems, fit their phase-folded light curves with the analytic Kumar et al. (1995) model, and compare the fitted periods, eccentricities, and arguments of periastron with the Gaia orbital solutions. For the two SB2 systems with apparently consistent orbits, they use PHOEBE, with Gaia velocity semi-amplitudes as priors, to derive stellar masses and radii. The paper also presents a statistical analysis of the heartbeat-star fraction as a function of color, concluding that non-giant heartbeat stars are evolved off the main sequence and that the fraction of binaries that are heartbeat stars rises rapidly with effective temperature.
Significance. If the population-level conclusions hold, this is one of the largest homogeneous samples of short-period heartbeat stars and provides a new route to discovering them from spectroscopic-binary catalogs. The two PHOEBE mass/radius measurements are a useful addition to the sparse set of heartbeat stars with direct stellar parameters. The main population claim—that the heartbeat fraction rises rapidly with effective temperature and drops across the Kraft break—would be an important constraint on tidal dissipation and binary evolution, but it is not yet securely established because the search's detection efficiency as a function of color is not characterized. The paper's catalog of 112 new HBs and its comparison with Gaia orbits are of independent value.
major comments (3)
- [§4, Fig. 12] The central claim that the HB fraction rises rapidly with effective temperature is not yet supported because the search's detection efficiency as a function of color is not modeled. Cooler, lower-mass stars are expected to have smaller tidal amplitudes and, below the Kraft break, different damping timescales, making their heartbeat signals harder to detect in TESS data. The selection region (R<0.5 and e>0.15, §2.2 and Fig. 3) was calibrated using only the 10 SB2 HBs, and the final sample also depends on visual inspection; both steps are likely color-dependent. No injection/recovery or completeness simulation is presented. The drop in Fig. 12 from roughly 10^-1 near BP-RP<0.5 to roughly 10^-4 near BP-RP~1 could therefore be dominated by declining sensitivity rather than by the underlying binary fraction. Please provide a completeness correction or a quantitative argument that detection efficiency is flat across color after the period and giant cuts.
- [§3, Fig. 8] The statement that 85% of SB1 HBs and 20% of SB2 HBs have orbital parameters that are 'consistent' with the Gaia solutions is not verifiable because the agreement criterion is not defined. The dashed lines in Fig. 8 are described only as 'the range we consider a reasonable match.' Please specify the tolerance explicitly (e.g., fractional period difference, eccentricity difference) and show how the 85%/20% numbers depend on that choice. This is load-bearing because the comparison underpins the PHOEBE modeling and the discussion of Gaia orbit quality, and because a loose criterion would make the agreement rate trivially high.
- [§4, Fig. 12] The definition of the 'fraction' plotted in Fig. 12 is not clearly specified. The axis label 'Fraction (NHB/Nnot)' suggests N_HB / N_non-HB, while the text says 'fraction of HBs' and the figure caption says 'median fraction of HBs.' If the denominator excludes the HBs themselves, the values will differ from N_HB/N_total, especially at the blue end where the fraction is around 10^-1. Please state the exact definition and ensure it is applied consistently in both panels, as this quantity is the basis of the paper's principal statistical conclusion.
minor comments (6)
- [§2.1, Eq. (2)] The formula for the true anomaly is garbled; it should read ν = 2 tan^{-1}( sqrt(1+e)/sqrt(1-e) tan(E/2) ). Please correct.
- [§3] The sentence 'the score statistic seems to be a limited indicator of the Gaia orbit quality, as almost all of the targets with incorrect Gaia P, e, or ω also have S<0.587' is confusing: finding that bad orbits also pass the nominal good-orbit cutoff does show the score is not sufficient, but the phrasing reads as if the low scores themselves are the problem. Please rephrase.
- [Fig. 5] The legend entry 'Gaia Clean Score Stars' is not defined in the caption; state that this refers to SB1 systems with a Bashi et al. (2022) score S<0.587.
- [Table 1] The table references the supplementary file 'SBTABLE.full' but gives no description of its columns or how the full table can be accessed; please add a short explanation.
- [Abstract] The phrase '85% of the single-line spectroscopic binaries' could be misread as applying to all Gaia SB1s; suggest '85% of the single-line spectroscopic binary heartbeat stars' for clarity.
- [Before Fig. 11] There is a stray line 'Screenshot from 2025-06-20 14-36-03.png' in the text; please remove it.
Circularity Check
No significant circularity: the analysis is self-contained, with measured orbital parameters compared against independent Gaia solutions and population statistics referenced to external catalogs.
full rationale
The derivation chain is self-contained. The 112 heartbeat-star discoveries are selected by fitting TESS phase-folded light curves with the Kumar et al. (1995) analytic model and comparing chi2_HB to chi2_line; the reported periods, eccentricities, inclinations, and arguments of periastron are fitted parameters that are then compared against independent Gaia DR3 orbital solutions, not predictions derived from the model's own inputs. The mass and radius measurements for the two SB2 systems combine independent Gaia K1 and K2 velocity semi-amplitudes as Gaussian priors with PHOEBE fits, so the outputs are not forced to reproduce the inputs beyond a standard Bayesian update. The population claims (luminosity offset and HB fraction vs. color) are direct descriptive statistics of the detected sample relative to the Gaia SB1/SB2 denominator. The concern that color-dependent detection efficiency is unmodeled is a validity or selection-function caveat for interpreting the fraction, but it is not circularity: the paper does not define the fraction in terms of the fitted amplitudes, and no fitted parameter is renamed as a prediction. The only self-citation (Rowan et al. 2023) is a methodological reference for combining Gaia radial velocities with photometry and is not load-bearing for any central claim, which is benchmarked against external catalogs (Gaia, OGLE, Kepler, and other TESS surveys).
Assumptions & free parameters
free parameters (4)
- SB1 selection region (R < 0.5, e > 0.15) =
R < 0.5, e > 0.15
- SB1 period cut =
P < 13 days
- Giant branch cutoff =
M_G < 4 (BP-RP - 2)
- Orbital agreement tolerance =
not quantified (dashed lines in Fig. 8)
assumptions (4)
- domain assumption The Kumar et al. (1995) analytic model (Eq. 1) captures the phase-folded HB light curve shape well enough to recover unbiased orbital parameters.
- domain assumption The Gaia DR3 SB1/SB2 orbital solutions that match the TESS fits are correct; the non-matching SB2 solutions are assumed to be wrong due to sparse RV sampling.
- domain assumption The parent samples (Gaia SB1 with P<13 days and SB2) are suitable normalizations for computing HB fractions, and the detection efficiency of the HB search is roughly flat across the color range studied.
- standard math Distances and extinctions from Bailer-Jones et al. (2021) and mwdust are accurate enough for CMD placement.
Cite this review
Pith. "Pith review of Astronomical Cardiology: A Search For Heartbeat Stars Using $\textit{Gaia}$ and $\textit{TESS}$." pith.science (2026). https://pith.science/paper/7MGALCHC
@misc{pith2026250614869,
author = {Pith},
title = {Pith review of: Astronomical Cardiology: A Search For Heartbeat Stars Using $\textitGaia$ and $\textitTESS$},
year = {2026},
howpublished = {\url{https://pith.science/paper/7MGALCHC}},
note = {Machine review of arXiv:2506.14869}
}
abstract
Heartbeat stars are a subclass of binary stars with short periods, high eccentricities, and phase-folded light curves that resemble an electrocardiogram. We start from the $\textit{Gaia}$ catalogs of spectroscopic binaries and use $\textit{TESS}$ photometry to identify 112 new heartbeat star systems. We fit their phase-folded light curves with an analytic model to measure their orbital periods, eccentricities, inclinations, and arguments of periastron. We then compare these orbital parameters to the $\textit{Gaia}$ spectroscopic orbital solution. Our periods and eccentricities are consistent with the $\textit{Gaia}$ solutions for 85$\%$ of the single-line spectroscopic binaries but only 20$\%$ of the double-line spectroscopic binaries. For the two double-line spectroscopic binary heartbeat stars with consistent orbits, we combine the $\textit{TESS}$ phase-folded light curve and the $\textit{Gaia}$ velocity semi-amplitudes to measure the stellar masses and radii with $\texttt{PHOEBE}$. In a statistical analysis of the heartbeat star population, we find that non-giant heartbeat stars have evolved off the main sequence and that the fraction of the systems that are heartbeat stars rises rapidly with effective temperature.
Figures
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Forward citations
Cited by 1 Pith paper
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Astronomical Cardiology II: A Search For Heartbeat Stars Using APOGEE and TESS
A new search of APOGEE binaries with TESS light curves finds 50 heartbeat stars, including 36 new systems, and confirms that the detected fraction rises sharply with stellar temperature.
Reference graph
Works this paper leans on
-
[1]
Abdurro'uf et al., 2022, @doi [ ] 10.3847/1538-4365/ac4414 , https://ui.adsabs.harvard.edu/abs/2022ApJS..259...35A 259, 35
-
[2]
Badenes C., et al., 2018, @doi [ ] 10.3847/1538-4357/aaa765 , https://ui.adsabs.harvard.edu/abs/2018ApJ...854..147B 854, 147
-
[3]
Bailer-Jones C. A. L., Rybizki J., Fouesneau M., Demleitner M., Andrae R., 2021, @doi [ ] 10.3847/1538-3881/abd806 , https://ui.adsabs.harvard.edu/abs/2021AJ....161..147B 161, 147
-
[4]
Barb \'a R. H., Gamen R. C., Mart \' n-Ravelo P., Arias J. I., Morrell N. I., 2022, @doi [ ] 10.1093/mnras/stac2173 , https://ui.adsabs.harvard.edu/abs/2022MNRAS.516.1149B 516, 1149
-
[5]
Bashi D., Shahaf S., Mazeh T., Faigler S., Dong S., El-Badry K., Rix H. W., Jorissen A., 2022, @doi [ ] 10.1093/mnras/stac2928 , https://ui.adsabs.harvard.edu/abs/2022MNRAS.517.3888B 517, 3888
-
[6]
Blomme R., et al., 2023, @doi [ ] 10.1051/0004-6361/202243685 , https://ui.adsabs.harvard.edu/abs/2023A&A...674A...7B 674, A7
-
[7]
Bovy J., Rix H.-W., Green G. M., Schlafly E. F., Finkbeiner D. P., 2016, @doi [ ] 10.3847/0004-637X/818/2/130 , https://ui.adsabs.harvard.edu/abs/2016ApJ...818..130B 818, 130
-
[9]
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
Show all 67 references
-
[10]
E., et al., 2020, @doi [ ] 10.3847/1538-4365/abb4e2 , https://ui.adsabs.harvard.edu/abs/2020ApJS..250...34C 250, 34
Conroy K. E., et al., 2020, @doi [ ] 10.3847/1538-4365/abb4e2 , https://ui.adsabs.harvard.edu/abs/2020ApJS..250...34C 250, 34
2020 doi
-
[11]
Cropper M., et al., 2018, @doi [ ] 10.1051/0004-6361/201832763 , https://ui.adsabs.harvard.edu/abs/2018A&A...616A...5C 616, A5
2018 doi
-
[12]
P., Kjurkchieva D
Dimitrov D. P., Kjurkchieva D. P., Iliev I. K., 2017, @doi [ ] 10.1093/mnras/stx745 , https://ui.adsabs.harvard.edu/abs/2017MNRAS.469.2089D 469, 2089
2017 doi
-
[13]
Dotter A., 2016, @doi [ ] 10.3847/0067-0049/222/1/8 , https://ui.adsabs.harvard.edu/abs/2016ApJS..222....8D 222, 8
2016 doi
-
[14]
Drimmel R., Cabrera-Lavers A., L \'o pez-Corredoira M., 2003, @doi [ ] 10.1051/0004-6361:20031070 , https://ui.adsabs.harvard.edu/abs/2003A&A...409..205D 409, 205
2003 doi
-
[15]
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
-
[16]
Fuller J., Lai D., 2012, @doi [ ] 10.1111/j.1365-2966.2011.20237.x , https://ui.adsabs.harvard.edu/abs/2012MNRAS.420.3126F 420, 3126
2012
-
[17]
Gaia Collaboration et al., 2023, @doi [ ] 10.1051/0004-6361/202243940 , https://ui.adsabs.harvard.edu/abs/2023A&A...674A...1G 674, A1
2023 doi
-
[18]
M., Schlafly E., Zucker C., Speagle J
Green G. M., Schlafly E., Zucker C., Speagle J. S., Finkbeiner D., 2019, @doi [ ] 10.3847/1538-4357/ab5362 , https://ui.adsabs.harvard.edu/abs/2019ApJ...887...93G 887, 93
2019 doi
-
[19]
64, EAS Publications Series
Hambleton K., et al., 2013, in Pavlovski K., Tkachenko A., Torres G., eds, EAS Publications Series Vol. 64, EAS Publications Series. pp 285--294, @doi 10.1051/eas/1364039
2013
-
[20]
Hon M., et al., 2025, @doi [ ] 10.3847/2041-8213/adbf21 , https://ui.adsabs.harvard.edu/abs/2025ApJ...984L...3H 984, L3
2025 doi
-
[21]
X., et al., 2020, @doi [Research Notes of the American Astronomical Society] 10.3847/2515-5172/abca2e , https://ui.adsabs.harvard.edu/abs/2020RNAAS...4..204H 4, 204
Huang C. X., et al., 2020, @doi [Research Notes of the American Astronomical Society] 10.3847/2515-5172/abca2e , https://ui.adsabs.harvard.edu/abs/2020RNAAS...4..204H 4, 204
2020 doi
-
[22]
Z., Kochanek C
Jayasinghe T., Stanek K. Z., Kochanek C. S., Thompson T. A., Shappee B. J., Fausnaugh M., 2019, @doi [ ] 10.1093/mnras/stz2460 , https://ui.adsabs.harvard.edu/abs/2019MNRAS.489.4705J 489, 4705
2019 doi
-
[23]
Jayasinghe T., et al., 2021, @doi [ ] 10.1093/mnras/stab1920 , https://ui.adsabs.harvard.edu/abs/2021MNRAS.506.4083J 506, 4083
2021 doi
-
[24]
Kirk B., et al., 2016, @doi [ ] 10.3847/0004-6256/151/3/68 , https://ui.adsabs.harvard.edu/abs/2016AJ....151...68K 151, 68
2016 doi
-
[25]
S., et al., 2017, @doi [ ] 10.1088/1538-3873/aa80d9 , https://ui.adsabs.harvard.edu/abs/2017PASP..129j4502K 129, 104502
Kochanek C. S., et al., 2017, @doi [ ] 10.1088/1538-3873/aa80d9 , https://ui.adsabs.harvard.edu/abs/2017PASP..129j4502K 129, 104502
2017 doi
-
[26]
E., 2021, @doi [ ] 10.1093/mnrasl/slab066 , https://ui.adsabs.harvard.edu/abs/2021MNRAS.506L..40K 506, L40
Kochukhov O., Labadie-Bartz J., Khalack V., Shultz M. E., 2021, @doi [ ] 10.1093/mnrasl/slab066 , https://ui.adsabs.harvard.edu/abs/2021MNRAS.506L..40K 506, L40
2021 doi
-
[27]
Ko aczek-Szyma \'n ski P. A., Pigulski A., Michalska G., Mo \'z dzierski D., R \'o \.z a \'n ski T., 2021, @doi [ ] 10.1051/0004-6361/202039553 , https://ui.adsabs.harvard.edu/abs/2021A&A...647A..12K 647, A12
2021 doi
-
[28]
A., Pigulski A., Wrona M., Ratajczak M., Udalski A., 2022, @doi [ ] 10.1051/0004-6361/202142171 , https://ui.adsabs.harvard.edu/abs/2022A&A...659A..47K 659, A47
Ko aczek-Szyma \'n ski P. A., Pigulski A., Wrona M., Ratajczak M., Udalski A., 2022, @doi [ ] 10.1051/0004-6361/202142171 , https://ui.adsabs.harvard.edu/abs/2022A&A...659A..47K 659, A47
2022 doi
-
[29]
P., 1967, @doi [ ] 10.1086/149359 , https://ui.adsabs.harvard.edu/abs/1967ApJ...150..551K 150, 551
Kraft R. P., 1967, @doi [ ] 10.1086/149359 , https://ui.adsabs.harvard.edu/abs/1967ApJ...150..551K 150, 551
1967 doi
-
[30]
O., Quataert E
Kumar P., Ao C. O., Quataert E. J., 1995, @doi [ ] 10.1086/176055 , https://ui.adsabs.harvard.edu/abs/1995ApJ...449..294K 449, 294
1995 doi
-
[31]
Li M.-Y., Qian S.-B., Zhu L.-Y., Liao W.-P., Zhao E.-G., Shi X.-D., Sun Q.-B., 2023, @doi [ ] 10.3847/1538-4365/acca13 , https://ui.adsabs.harvard.edu/abs/2023ApJS..266...28L 266, 28
2023 doi
- [32]
-
[33]
arXiv:2408.01019
Li M.-Y., et al., 2024b, arXiv e-prints, https://ui.adsabs.harvard.edu/abs/2024arXiv240801019L p. arXiv:2408.01019
-
[34]
R., 1976, @doi [ ] 10.1007/BF00648343 , https://ui.adsabs.harvard.edu/abs/1976Ap&SS..39..447L 39, 447
Lomb N. R., 1976, @doi [ ] 10.1007/BF00648343 , https://ui.adsabs.harvard.edu/abs/1976Ap&SS..39..447L 39, 447
1976 doi
- [35]
-
[36]
J., Robin A
Marshall D. J., Robin A. C., Reyl \'e C., Schultheis M., Picaud S., 2006, @doi [ ] 10.1051/0004-6361:20053842 , https://ui.adsabs.harvard.edu/abs/2006A&A...453..635M 453, 635
2006 doi
-
[37]
I., Chen \'e A.-N., Barb \'a R
Mart \' n-Ravelo P., Gamen R., Arias J. I., Chen \'e A.-N., Barb \'a R. H., 2024, @doi [ ] 10.1051/0004-6361/202451192 , https://ui.adsabs.harvard.edu/abs/2024A&A...690A.306M 690, A306
2024 doi
-
[38]
J., Zahn J
Mazeh T., 2008, in Goupil M. J., Zahn J. P., eds, EAS Publications Series Vol. 29, EAS Publications Series. pp 1--65 ( @eprint arXiv 0801.0134 ), @doi 10.1051/eas:0829001
2008 arXiv
-
[39]
S., S \'a nchez Arias J
Merc J., Kalup C., Rathour R. S., S \'a nchez Arias J. P., Beck P. G., 2021, @doi [Contributions of the Astronomical Observatory Skalnate Pleso] 10.31577/caosp.2021.51.1.45 , https://ui.adsabs.harvard.edu/abs/2021CoSka..51...45M 51, 45
2021 doi
-
[40]
J., Paunzen E., Bedding T
Murphy S. J., Paunzen E., Bedding T. R., Walczak P., Huber D., 2020, @doi [ ] 10.1093/mnras/staa1271 , https://ui.adsabs.harvard.edu/abs/2020MNRAS.495.1888M 495, 1888
2020 doi
-
[41]
V., Kuzmin A
Nesterov V. V., Kuzmin A. V., Ashimbaeva N. T., Volchkov A. A., R \"o ser S., Bastian U., 1995, , https://ui.adsabs.harvard.edu/abs/1995A&AS..110..367N 110, 367
1995
-
[42]
M., Burkart J., 2014, @doi [ ] 10.1093/mnras/stu335 , https://ui.adsabs.harvard.edu/abs/2014MNRAS.440.3036O 440, 3036
O'Leary R. M., Burkart J., 2014, @doi [ ] 10.1093/mnras/stu335 , https://ui.adsabs.harvard.edu/abs/2014MNRAS.440.3036O 440, 3036
2014 doi
-
[43]
Paunzen E., H \"u mmerich S., Fedurco M., Bernhard K., Kom z \' k R., Va n ko M., 2021, @doi [ ] 10.1093/mnras/stab1059 , https://ui.adsabs.harvard.edu/abs/2021MNRAS.504.3749P 504, 3749
2021 doi
-
[44]
Paxton B., Bildsten L., Dotter A., Herwig F., Lesaffre P., Timmes F., 2011, @doi [ ] 10.1088/0067-0049/192/1/3 , https://ui.adsabs.harvard.edu/abs/2011ApJS..192....3P 192, 3
2011 doi
-
[45]
Paxton B., et al., 2013, @doi [ ] 10.1088/0067-0049/208/1/4 , https://ui.adsabs.harvard.edu/abs/2013ApJS..208....4P 208, 4
2013 doi
-
[46]
Paxton B., et al., 2015, @doi [ ] 10.1088/0067-0049/220/1/15 , https://ui.adsabs.harvard.edu/abs/2015ApJS..220...15P 220, 15
2015 doi
-
[47]
Paxton B., et al., 2018, @doi [ ] 10.3847/1538-4365/aaa5a8 , https://ui.adsabs.harvard.edu/abs/2018ApJS..234...34P 234, 34
2018 doi
-
[48]
Pr s a A., Zwitter T., 2005, @doi [ ] 10.1086/430591 , https://ui.adsabs.harvard.edu/abs/2005ApJ...628..426P 628, 426
2005 doi
-
[49]
Pr s a A., et al., 2016, @doi [ ] 10.3847/1538-4365/227/2/29 , https://ui.adsabs.harvard.edu/abs/2016ApJS..227...29P 227, 29
2016 doi
-
[50]
R., et al., 2015, @doi [Journal of Astronomical Telescopes, Instruments, and Systems] 10.1117/1.JATIS.1.1.014003 , https://ui.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 , https://ui.adsabs.harvard.edu/abs/2015JATIS...1a4003R 1, 014003
2015 doi
-
[51]
R \"o ser S., Bastian U., 1993, Bulletin d'Information du Centre de Donnees Stellaires, https://ui.adsabs.harvard.edu/abs/1993BICDS..42...11R 42, 11
1993
-
[52]
R \"o ser S., Bastian U., Kuzmin A., 1994, , https://ui.adsabs.harvard.edu/abs/1994A&AS..105..301R 105, 301
1994
-
[53]
M., Jayasinghe T., Stanek K
Rowan D. M., Jayasinghe T., Stanek K. Z., Kochanek C. S., Thompson T. A., Shappee B. J., Giles W., 2023, @doi [ ] 10.1093/mnras/stad1560 , https://ui.adsabs.harvard.edu/abs/2023MNRAS.523.2641R 523, 2641
2023 doi
-
[54]
D., 1982, @doi [ ] 10.1086/160554 , https://ui.adsabs.harvard.edu/abs/1982ApJ...263..835S 263, 835
Scargle J. D., 1982, @doi [ ] 10.1086/160554 , https://ui.adsabs.harvard.edu/abs/1982ApJ...263..835S 263, 835
1982 doi
-
[55]
Schatzman E., 1962, Annales d'Astrophysique, https://ui.adsabs.harvard.edu/abs/1962AnAp...25...18S 25, 18
1962
-
[56]
J., et al., 2014, @doi [ ] 10.1088/0004-637X/788/1/48 , https://ui.adsabs.harvard.edu/abs/2014ApJ...788...48S 788, 48
Shappee B. J., et al., 2014, @doi [ ] 10.1088/0004-637X/788/1/48 , https://ui.adsabs.harvard.edu/abs/2014ApJ...788...48S 788, 48
2014 doi
-
[57]
N., Bedding T
Sharma A. N., Bedding T. R., Saio H., White T. R., 2022, @doi [ ] 10.1093/mnras/stac1816 , https://ui.adsabs.harvard.edu/abs/2022MNRAS.515..828S 515, 828
2022 doi
-
[58]
Shporer A., et al., 2016, @doi [ ] 10.3847/0004-637X/829/1/34 , https://ui.adsabs.harvard.edu/abs/2016ApJ...829...34S 829, 34
2016 doi
-
[59]
M., et al., 2021, @doi [ ] 10.3847/1538-4365/abcb81 , https://ui.adsabs.harvard.edu/abs/2021ApJS..252...23S 252, 23
Skowron D. M., et al., 2021, @doi [ ] 10.3847/1538-4365/abcb81 , https://ui.adsabs.harvard.edu/abs/2021ApJS..252...23S 252, 23
2021 doi
-
[60]
Solanki S., et al., 2025, @doi [ ] 10.3847/1538-4365/ad8a62 , https://ui.adsabs.harvard.edu/abs/2025ApJS..276...17S 276, 17
2025 doi
-
[61]
F., 1978, @doi [ ] 10.1086/156444 , https://ui.adsabs.harvard.edu/abs/1978ApJ...224..953S 224, 953
Stellingwerf R. F., 1978, @doi [ ] 10.1086/156444 , https://ui.adsabs.harvard.edu/abs/1978ApJ...224..953S 224, 953
1978 doi
-
[62]
E., et al., 2012, @doi [ ] 10.1088/0004-637X/753/1/86 , https://ui.adsabs.harvard.edu/abs/2012ApJ...753...86T 753, 86
Thompson S. E., et al., 2012, @doi [ ] 10.1088/0004-637X/753/1/86 , https://ui.adsabs.harvard.edu/abs/2012ApJ...753...86T 753, 86
2012 doi
-
[63]
Torres G., Andersen J., Gim \'e nez A., 2010, @doi [ ] 10.1007/s00159-009-0025-1 , https://ui.adsabs.harvard.edu/abs/2010A&ARv..18...67T 18, 67
2010 doi
-
[64]
F., Grundahl F., Chen T., Pall \'e P
Wang K., Ren A., Andersen M. F., Grundahl F., Chen T., Pall \'e P. L., 2023, @doi [ ] 10.3847/1538-3881/acdac9 , https://ui.adsabs.harvard.edu/abs/2023AJ....166...42W 166, 42
2023 doi
-
[65]
F., et al., 2011, @doi [ ] 10.1088/0067-0049/197/1/4 , https://ui.adsabs.harvard.edu/abs/2011ApJS..197....4W 197, 4
Welsh W. F., et al., 2011, @doi [ ] 10.1088/0067-0049/197/1/4 , https://ui.adsabs.harvard.edu/abs/2011ApJS..197....4W 197, 4
2011 doi
-
[66]
Wheeler A., Kipping D., 2019, @doi [ ] 10.1093/mnras/stz775 , https://ui.adsabs.harvard.edu/abs/2019MNRAS.485.5498W 485, 5498
2019 doi
-
[67]
Wrona M., et al., 2022a, @doi [ ] 10.3847/1538-4365/ac4018 , https://ui.adsabs.harvard.edu/abs/2022ApJS..259...16W 259, 16
-
[68]
A., Ratajczak M., Koz owski S., 2022b, @doi [ ] 10.3847/1538-4357/ac56e6 , https://ui.adsabs.harvard.edu/abs/2022ApJ...928..135W 928, 135
Wrona M., Ko aczek-Szyma \'n ski P. A., Ratajczak M., Koz owski S., 2022b, @doi [ ] 10.3847/1538-4357/ac56e6 , https://ui.adsabs.harvard.edu/abs/2022ApJ...928..135W 928, 135
Reviewed August 7, 2026 · model on record in the stance chip above.
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