REVIEW 2 major objections 5 minor 106 references
The Orbit of WASP-4 b is in Decay
T0 review · 2 major / 5 minor · reviewed 2026-08-15 · deepseek-v4-flash
Pith's one-line read The orbit of hot Jupiter WASP-4 b is shrinking: a quadratic timing model beats linear and apsidal-motion alternatives by a Bayes factor near $2\times10^{11}$, implying a stellar tidal quality factor $Q'_\star \approx 8\times10^4$.
desk verdict Confirms WASP-4 b orbital decay with the largest TTV dataset yet; the 12 s systematic timing offset is a real concern but not disqualifying. read the letter →
The pith
A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.
The reading
What carries the argument
The central object is the transit-timing variation (TTV) diagram: 216 mid-transit times of WASP-4 b plotted against orbital epoch, assembled from 158 homogeneously modelled light curves (37 new from ground-based telescopes plus TESS, ETD, and literature data) and 58 literature timings. The load-bearing comparison is between three parametric models fitted to this diagram, linear ephemeris, quadratic ephemeris, and apsidal motion, with model selection via AIC, BIC, and the resulting Bayes factor. The quadratic coefficient $a$ is the mechanism: it directly measures the secular period change through the relation $dP/dE=2a$ and, via the formula of Goldreich and Soter and of Patra et al., maps to the modified tidal quality factor $Q'_\star$. On the theory side, the paper computes $Q'_\star$ for gravity waves launched at the radiative-convective interface and fully damped in the core, using stellar-structure models; the Brunt–Väisälä frequency profile near that interface controls the dissipation efficiency. The mismatch between the observed and predicted $Q'_\star$ is the argument's engine: it forces the conclusion that only an evolved, slightly overluminous host can explain the decay.
What would settle it
A concrete test is to continue monitoring WASP-4 b transits for another 5 to 10 years: if the quadratic coefficient is real orbital decay, the timing residuals should continue along the same parabola, with the period decreasing at the predicted rate; if the curvature flattens, reverses, or jumps, the decay interpretation fails. A shorter test is to re-reduce the shared light curves with a single common pipeline and check whether the 11.8-second systematic offset varies with time or source; if it drifts coherently across epochs, the fitted quadratic coefficient could be an artifact.
Extended reading notes
Core claim
The central claim is that WASP-4 b's transit times deviate from a constant-period ephemeris with a curvature best described by a negative quadratic term in the epoch, $T(E)=T_0+P_0E+aE^2$ with $a=(-9.81\pm1.21)\times10^{-11}$ days per orbit squared, equivalently $(-0.98\pm0.12)\times10^{-10}$ days per orbit squared. The quadratic model is strongly preferred in AIC, BIC, and Bayes-factor comparisons, and no significant periodic signal survives in the residuals; the 387.96-day peak found in a periodogram does not phase-fold and fails as a Keplerian. The authors therefore adopt orbital decay as the only viable explanation, convert the curvature to a tidal quality factor, and confront it with stellar models. Their main-sequence models predict $Q'_\star\approx(2\text{--}5)\times10^5$ from internal gravity waves, about two to four times too large (too little dissipation); matching the observed $Q'_\star\approx8\times10^4$ requires an older, more massive, slightly larger host near the end of the main sequence, which does not quite agree with the observationally inferred radius. On the paper's own terms, the discovery is that WASP-4 b's orbit is decaying and that the decay rate demands a more evolved host star than the nominal parameters suggest.
Load-bearing premise
The whole argument hinges on the assumption that the 216 measured transit times, assembled from many telescopes and sources over 16 years, carry no time-correlated systematic error that mimics the parabolic curvature, for example a drift in the 11.8-second systematic offset the authors find between their homogeneous timings and published timings of the same light curves.
Editorial extensions
If this is right
- If the quadratic model is right, the observed TTVs are dominated by a steady secular shrinkage of the orbit, and mechanisms like apsidal precession, line-of-sight acceleration, or a wide companion cannot explain them.
- The implied tidal quality factor $Q'_\star\approx8\times10^4$ places WASP-4 b among the most efficiently tidally dissipating hot-Jupiter hosts, comparable to WASP-12 b.
- Standard main-sequence stellar models dissipate only about a third to a quarter as much tidal energy via internal gravity waves, so explaining the decay requires the host to be near the end of the main sequence with a slightly larger radius than observed.
- Future transit monitoring can distinguish the decay model from systematic errors: the 11.8-second systematic offset between the authors' homogeneous timings and published timings is smaller than the accumulated TTV but must not drift with time.
Reading between the lines
- A decisive extension would be to apply the authors' own pipeline to every archival light curve and test whether the 11.8-second systematic offset depends on epoch, telescope, or filter; a drifting offset would mimic part of the quadratic curvature and should be subtracted before trusting $a$.
- If the decay is real, WASP-4 b joins a small sample of hot Jupiters whose measured tidal dissipation exceeds standard main-sequence predictions; comparing decay rates across this sample could reveal whether the common resolution is an evolved host star or a missing dissipation mechanism in the theory.
- The near-absence of persistent periodic TTV signals, despite a 387.96-day peak that fails to phase-fold, suggests that the remaining scatter is dominated by noise or spot-induced asymmetries; high-cadence, multi-year monitoring at the level of a few seconds would be needed to detect the expected small signal from the proposed 7001-day companion.
Signed reviews
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. The paper presents 37 new transit light curves of WASP-4 b from several ground-based telescopes plus TESS data, re-analyzes an extensive set of literature and ETD light curves with EXOFAST v1 to derive homogeneous mid-transit timings, and combines these with 58 literature timings into a 216-point TTV diagram spanning 15.98 yr. The authors fit linear, quadratic, and apsidal models; the quadratic model is strongly preferred (ΔBIC = -51.96, Bayes factor ~2×10^11), yielding a negative quadratic coefficient and an implied modified tidal quality factor Q'_* = (8.08±1.17)×10^4 under the orbital-decay interpretation. They then compute theoretical Q'_* from internal gravity wave dissipation in MESA stellar models, finding that main-sequence models give Q'_* ~ 2-5×10^5, while only more massive/evolved models (with radii larger than observed) can reach the observed value.
Significance. The TTV dataset is the largest assembled for WASP-4 b, and the model comparison is thorough. If robust, the inferred Q'_* ≈ 8×10^4 makes WASP-4 b one of the best examples of tidal orbital decay and challenges current tidal theory, which the paper addresses with independent MESA-based calculations. The theoretical analysis is a strength: it uses reproducible stellar modeling (MESA) and an established formalism (Barker 2020), and it transparently states the tension between the observed Q'_* and main-sequence models. However, the astrophysical conclusion rests on the quadratic coefficient being free of time-correlated systematic errors in the timing data.
major comments (2)
- [Sec. 3.3.1, Fig. 3] The systematic offset between the authors' EXOFAST v1 timings and published timings for the same 109 light curves (average 11.8 s, 98/109 positive, including 43/46 for TESS) is unexplained and is the main threat to the central claim. Because the cumulative quadratic signal over the 16-yr baseline is only ~160 s, a time-dependent component of this offset could bias the fitted quadratic coefficient in sign or magnitude. The authors should explicitly test for a time trend in the offset (e.g., comparing residuals in early vs. late epochs), include a free constant offset between the re-measured and literature-only subsets in the TTV model, or demonstrate that the result persists when using only a single homogeneous timing set (e.g., TESS-only or new ground-based data). The own-only fit in Table 6 reduces but does not eliminate this concern, because the re-measured subset itself combines heterogeneous instruments and epochs.
- [Sec. 3.3.2, Table 6] The reduced chi-squared values of 3.61 (all data) and 4.14 (own-only) for the preferred quadratic model indicate that the reported timing uncertainties are underestimated by about a factor of two. The quoted 1σ errors on the quadratic coefficient (a = -9.81±1.21 × 10^-11 days/orbit^2) and on Q'_* must therefore be regarded as lower limits. A re-analysis including a jitter term (or an explicit rescaling of the errors) is needed to obtain realistic uncertainties on a and Q'_* and to confirm that the model comparison (ΔAIC, ΔBIC, Bayes factor) is not driven by the underestimated scatter. This is directly relevant to the theoretical comparison in Section 4, which depends on whether Q'_* is consistent with ~6×10^4 or could be as high as ~2×10^5.
minor comments (5)
- [Throughout] Many instances of '9P' and '9M' (e.g., in the Introduction and Section 4) are LaTeX rendering errors for \dot{P} and \dot{M}; they should be fixed before publication.
- [Sec. 2.6 / Sec. 5] The reported numbers of new observations are inconsistent: the abstract states 37 new observations, Table 1 lists 28 Danish + 5 Ckoirama + 2 TRAPPIST + 4 El Sauce = 39 new light curves, and the conclusion says '37 newly obtained observations ... of which three were excluded.' Please clarify the exact counts and which telescopes contributed.
- [Sec. 3.3.1] The phrase 'the average difference between the measurements from the same light curves is only 11.83 seconds' is misleading, since 11.8 s is comparable to the typical 25-27 s uncertainties and is a substantial systematic; it should be flagged as a concern rather than 'only'.
- [Fig. 4] The y-axis label reads 'TTV (mi utes)'; the 'n' in 'minutes' is missing.
- [Sec. 3.3.2] When dismissing the 387.96-day periodic signal, the authors state that a Keplerian fit 'ends up within much poorer fit statistics' but do not give the resulting AIC/BIC or amplitude; please quantify this statement.
Circularity Check
No significant circularity: the quadratic TTV fit is independent data analysis, and the tidal Q' comparison is computed from separate stellar models without tuning.
full rationale
The central claim that WASP-4 b's orbit is decaying rests on a direct fit of a quadratic ephemeris to 216 transit timings (Eq. 3), with model comparison statistics reported against linear and apsidal-motion alternatives. The conversion of the fitted quadratic coefficient to a tidal quality factor (Eq. 4) is an explicit, standard algebraic mapping ('if this is due to stellar tides'), not a hidden use of the conclusion as an input; the paper does not present Q'_* as an independent prediction of the timing data. The theoretical Q'_IGW values are computed from independent MESA stellar models using the Barker (2020) formalism (Eq. 41), which is a published, externally referenced framework (also Goodman & Dickson 1998; Chernov et al. 2017; Ahuir et al. 2021; Ma & Fuller 2021) and is not adjusted to match the observed Q'_*. The paper honestly reports that main-sequence models give Q' ~ 2-5 x 10^5 and that only older, larger-radius models reach ~8 x 10^4. Co-author Barker's prior work is cited for tidal theory, but the cited formalism is not the present paper's own ansatz and does not encode the target result. The reported 11.8 s systematic timing offset (Sec. 3.3.1) is a data-quality concern and a potential systematic bias, but it is not a circularity: the analysis does not define the decay signal in terms of that offset, and the offset is explicitly disclosed and examined. The high reduced chi-squared of the quadratic model is likewise an honest goodness-of-fit limitation, not a circular step. The derivation chain is self-contained: timing measurements -> quadratic coefficient -> conditional Q'_* -> independent theoretical Q'_IGW comparison.
Assumptions & free parameters
free parameters (3)
- Quadratic coefficient a (TTV ephemeris) =
-0.98 +/- 0.12 x 10^-10 days orbit^-2
- Initial stellar mass and metallicity scanned in MESA models =
M = 0.858-0.945 M_sun, Z about 0.01-0.03 (within observational 1-sigma)
- MESA input physics choices (semiconvective mixing, elemental diffusion) =
default MESA vs MIST parameterizations
assumptions (5)
- domain assumption The observed TTV is dominated by a secular period decrease; apsidal precession, line-of-sight acceleration, and external perturbers are negligible.
- standard math The modified tidal quality factor Q'_* is related to the fitted quadratic coefficient by the equilibrium-tide formula of Goldreich & Soter (1966) and Patra et al. (2017), Eq. 4.
- domain assumption Internal gravity wave dissipation in the radiative core, with waves fully damped by wave breaking, is the dominant tidal mechanism; equilibrium tides and inertial waves are ineffective.
- domain assumption MESA/MIST stellar models with the adopted masses and metallicities accurately represent WASP-4's internal structure, including the Brunt-Vaisala frequency profile at the radiative-convective interface.
- domain assumption The stellar radius of WASP-4 is correctly measured to about 0.9 R_sun by SED and IRFM; the models that match the observed Q'_* have larger radii and may not represent the star.
Cite this review
Pith. "Pith review of The Orbit of WASP-4 b is in Decay." pith.science (2026). https://pith.science/paper/UEKPF6X6
@misc{pith2026250615022,
author = {Pith},
title = {Pith review of: The Orbit of WASP-4 b is in Decay},
year = {2026},
howpublished = {\url{https://pith.science/paper/UEKPF6X6}},
note = {Machine review of arXiv:2506.15022}
}
read the original abstract
WASP-4 b is a hot Jupiter exhibiting a decreasing orbital period, prompting investigations into potential mechanisms driving its evolution. We analyzed 173 transit light curves, including 37 new observations, and derived mid-transit timings with EXOFAST, forming the most extensive TTV dataset for this system. Adding 58 literature timings and removing unreliable data, we constructed a TTV diagram with 216 points. Our analysis considered linear, quadratic, and apsidal motion models, with the quadratic model proving to be significantly superior in all model comparison statistics. We found no significant periodic signals in the data. The quadratic model allows us to infer a tidal quality factor of Q' ~ 80,000 from the orbital decay rate if this is due to stellar tides. Theoretical considerations indicate that such efficient dissipation is possible due to internal gravity waves in the radiative core of WASP-4, but only in our models with a more evolved host star, possibly near the end of its main-sequence lifetime, and with a larger radius than the observed one. Our main-sequence models produce only about a third of the required dissipation (Q' ~ 200,000 - 500,000). Therefore, the observed orbital decay can only be explained by a slightly larger or more evolved host, resembling the case for WASP-12. Our findings highlight the need for further stellar modeling and improvement in our current understanding of tidal dissipation mechanisms driving orbital decay in close-in exoplanetary systems.
Figures
Figures from the paper (2 more)
Reference graph
Works this paper leans on
-
[1]
write newline
" write newline "" before.all 'output.state := FUNCTION fin.entry write newline FUNCTION new.block output.state before.all = 'skip after.block 'output.state := if FUNCTION new.sentence output.state after.block = 'skip output.state before.all = 'skip after.sentence 'output.state := if if FUNCTION not #0 #1 if FUNCTION and 'skip pop #0 if FUNCTION or pop #1...
-
[2]
Ahuir J., Mathis S., Amard L., 2021, @doi [ ] 10.1051/0004-6361/202040174 , https://ui.adsabs.harvard.edu/abs/2021A&A...651A...3A 651, A3
-
[3]
Akaike H., 1974, IEEE Transactions on Automatic Control, https://ui.adsabs.harvard.edu/abs/1974ITAC...19..716A 19, 716
1974
-
[4]
H., 1992, @doi [ ] 10.1086/170967 , https://ui.adsabs.harvard.edu/abs/1992ApJ...385..621A 385, 621
Applegate J. H., 1992, @doi [ ] 10.1086/170967 , https://ui.adsabs.harvard.edu/abs/1992ApJ...385..621A 385, 621
doi:10.1086/170967 1992
-
[5]
Astropy Collaboration et al., 2013, @doi [ ] 10.1051/0004-6361/201322068 , https://ui.adsabs.harvard.edu/abs/2013A&A...558A..33A 558, A33
-
[6]
Astropy Collaboration et al., 2018, @doi [ ] 10.3847/1538-3881/aabc4f , https://ui.adsabs.harvard.edu/abs/2018AJ....156..123A 156, 123
-
[7]
Ba s t \"u rk \"O ., et al., 2022, @doi [ ] 10.1093/mnras/stac592 , https://ui.adsabs.harvard.edu/abs/2022MNRAS.512.2062B 512, 2062
-
[8]
Baluev R. V., et al., 2019, @doi [ ] 10.1093/mnras/stz2620 , https://ui.adsabs.harvard.edu/abs/2019MNRAS.490.1294B 490, 1294
Show all 106 references
-
[9]
V., et al., 2020, @doi [ ] 10.1093/mnrasl/slaa069 , https://ui.adsabs.harvard.edu/abs/2020MNRAS.496L..11B 496, L11
Baluev R. V., et al., 2020, @doi [ ] 10.1093/mnrasl/slaa069 , https://ui.adsabs.harvard.edu/abs/2020MNRAS.496L..11B 496, L11
2020 doi
-
[10]
J., 2011, @doi [ ] 10.1111/j.1365-2966.2011.18468.x , https://ui.adsabs.harvard.edu/abs/2011MNRAS.414.1365B 414, 1365
Barker A. J., 2011, @doi [ ] 10.1111/j.1365-2966.2011.18468.x , https://ui.adsabs.harvard.edu/abs/2011MNRAS.414.1365B 414, 1365
2011
-
[11]
J., 2020, @doi [ ] 10.1093/mnras/staa2405 , https://ui.adsabs.harvard.edu/abs/2020MNRAS.498.2270B 498, 2270
Barker A. J., 2020, @doi [ ] 10.1093/mnras/staa2405 , https://ui.adsabs.harvard.edu/abs/2020MNRAS.498.2270B 498, 2270
2020 doi
-
[13]
J., Efroimsky M., Makarov V
Barker A. J., Efroimsky M., Makarov V. V., Veras D., 2024, @doi [ ] 10.1093/mnras/stad3530 , https://ui.adsabs.harvard.edu/abs/2024MNRAS.527.5131B 527, 5131
2024 doi
-
[14]
E., Shallis M
Blackwell D. E., Shallis M. J., 1977, MNRAS, 1977MNRAS.180..177B 180, 177
1977
-
[15]
S., et al., 2017, @doi [ ] 10.1051/0004-6361/201629882 , https://ui.adsabs.harvard.edu/abs/2017A&A...602A.107B 602, A107
Bonomo A. S., et al., 2017, @doi [ ] 10.1051/0004-6361/201629882 , https://ui.adsabs.harvard.edu/abs/2017A&A...602A.107B 602, A107
2017 doi
-
[16]
G., et al., 2019, @doi [ ] 10.3847/1538-3881/ab189f , https://ui.adsabs.harvard.edu/abs/2019AJ....157..217B 157, 217
Bouma L. G., et al., 2019, @doi [ ] 10.3847/1538-3881/ab189f , https://ui.adsabs.harvard.edu/abs/2019AJ....157..217B 157, 217
2019 doi
-
[17]
G., Winn J
Bouma L. G., Winn J. N., Howard A. W., Howell S. B., Isaacson H., Knutson H., Matson R. A., 2020, @doi [ ] 10.3847/2041-8213/ab8563 , https://ui.adsabs.harvard.edu/abs/2020ApJ...893L..29B 893, L29
2020 doi
-
[18]
C \'a ceres C., et al., 2011, @doi [ ] 10.1051/0004-6361/201016231 , https://ui.adsabs.harvard.edu/abs/2011A&A...530A...5C 530, A5
2011 doi
-
[19]
Char F., Unda-Sanzana E., Colque J., Fossey S., Rocchetto M., 2016, Boletin de la Asociacion Argentina de Astronomia La Plata Argentina, https://ui.adsabs.harvard.edu/abs/2016BAAA...58..200C 58, 200
2016
-
[20]
V., Ivanov P
Chernov S. V., Ivanov P. B., Papaloizou J. C. B., 2017, @doi [ ] 10.1093/mnras/stx1234 , https://ui.adsabs.harvard.edu/abs/2017MNRAS.470.2054C 470, 2054
2017 doi
-
[21]
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
-
[22]
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
-
[23]
A., Kielkopf J
Collins K. A., Kielkopf J. F., Stassun K. G., Hessman F. V., 2017, @doi [ ] 10.3847/1538-3881/153/2/77 , https://ui.adsabs.harvard.edu/abs/2017AJ....153...77C 153, 77
2017 doi
-
[24]
M., et al., 2003, VizieR Online Data Catalog, https://ui.adsabs.harvard.edu/abs/2003yCat.2246....0C p
Cutri R. M., et al., 2003, VizieR Online Data Catalog, https://ui.adsabs.harvard.edu/abs/2003yCat.2246....0C p. II/246
2003
-
[25]
M., et al., 2021, VizieR Online Data Catalog, https://ui.adsabs.harvard.edu/abs/2014yCat.2328....0C p
Cutri R. M., et al., 2021, VizieR Online Data Catalog, https://ui.adsabs.harvard.edu/abs/2014yCat.2328....0C p. II/328
2021
-
[26]
Dotter A., 2016, @doi [ ] 10.3847/0067-0049/222/1/8 , https://ui.adsabs.harvard.edu/abs/2016ApJS..222....8D 222, 8
2016 doi
-
[27]
P., et al., 2013, @doi [ ] 10.1093/mnras/sts267 , https://ui.adsabs.harvard.edu/abs/2013MNRAS.428.3164D 428, 3164
Doyle A. P., et al., 2013, @doi [ ] 10.1093/mnras/sts267 , https://ui.adsabs.harvard.edu/abs/2013MNRAS.428.3164D 428, 3164
2013 doi
-
[28]
Dragomir D., et al., 2011, @doi [ ] 10.1088/0004-6256/142/4/115 , https://ui.adsabs.harvard.edu/abs/2011AJ....142..115D 142, 115
2011 doi
-
[29]
D., Barker A
Duguid C. D., Barker A. J., Jones C. A., 2020, @doi [ ] 10.1093/mnras/staa2216 , https://ui.adsabs.harvard.edu/abs/2020MNRAS.497.3400D 497, 3400
2020 doi
-
[30]
D., de Vries N
Duguid C. D., de Vries N. B., Lecoanet D., Barker A. J., 2024, @doi [ ] 10.3847/2041-8213/ad3c40 , https://ui.adsabs.harvard.edu/abs/2024ApJ...966L..14D 966, L14
2024 doi
-
[31]
Eastman J., 2017, EXOFASTv2: Generalized publication-quality exoplanet modeling code ( @eprint ascl 1710.003 )
2017
-
[32]
S., 2010, PASP, 2010PASP..122..935E 122, 935
Eastman J., Siverd R., Gaudi B. S., 2010, PASP, 2010PASP..122..935E 122, 935
2010
-
[33]
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
-
[34]
D., et al., 2019, arXiv e-prints, https://ui.adsabs.harvard.edu/abs/2019arXiv190709480E p
Eastman J. D., et al., 2019, arXiv e-prints, https://ui.adsabs.harvard.edu/abs/2019arXiv190709480E p. arXiv:1907.09480
2019 arXiv
-
[35]
K., Wright J
Feng Y. K., Wright J. T., Nelson B., Wang S. X., Ford E. B., Marcy G. W., Isaacson H., Howard A. W., 2015, @doi [ ] 10.1088/0004-637X/800/1/22 , https://ui.adsabs.harvard.edu/abs/2015ApJ...800...22F 800, 22
2015 doi
-
[36]
B., 2006, @doi [ ] 10.1086/500802 , https://ui.adsabs.harvard.edu/abs/2006ApJ...642..505F 642, 505
Ford E. B., 2006, @doi [ ] 10.1086/500802 , https://ui.adsabs.harvard.edu/abs/2006ApJ...642..505F 642, 505
2006 doi
-
[37]
J., Shporer A., Winn J
Fulton B. J., Shporer A., Winn J. N., Holman M. J., P \'a l A., Gazak J. Z., 2011, @doi [ ] 10.1088/0004-6256/142/3/84 , https://ui.adsabs.harvard.edu/abs/2011AJ....142...84F 142, 84
2011 doi
-
[38]
Gaia Collaboration et al., 2016, @doi [ ] 10.1051/0004-6361/201629272 , https://ui.adsabs.harvard.edu/abs/2016A&A...595A...1G 595, A1
2016 doi
-
[39]
Gaia Collaboration et al., 2021a, @doi [ ] 10.1051/0004-6361/202039657 , https://ui.adsabs.harvard.edu/abs/2021A&A...649A...1G 649, A1
-
[40]
Gaia Collaboration et al., 2021b, @doi [ ] 10.1051/0004-6361/202039498 , https://ui.adsabs.harvard.edu/abs/2021A&A...649A...6G 649, A6
-
[41]
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
-
[42]
J., Timmermans M., Pozuelos F
Garcia L. J., Timmermans M., Pozuelos F. J., Ducrot E., Gillon M., Delrez L., Wells R. D., Jehin E., 2022, @doi [ ] 10.1093/mnras/stab3113 , https://ui.adsabs.harvard.edu/abs/2022MNRAS.509.4817G 509, 4817
2022 doi
-
[43]
Gillon M., et al., 2009, @doi [ ] 10.1051/0004-6361:200810929 , https://ui.adsabs.harvard.edu/abs/2009A&A...496..259G 496, 259
2009 doi
-
[44]
Gillon M., Jehin E., Magain P., Chantry V., Hutsem \' e kers D., Manfroid J., Queloz D., Udry S., 2011, @doi [ EPJ Web of Conferences] 10.1051/epjconf/20101106002 , 11, 06002
2011
-
[45]
Goldreich P., Soter S., 1966, @doi [ ] 10.1016/0019-1035(66)90051-0 , https://ui.adsabs.harvard.edu/abs/1966Icar....5..375G 5, 375
1966 doi
-
[46]
S., 1998, @doi [ ] 10.1086/306348 , https://ui.adsabs.harvard.edu/abs/1998ApJ...507..938G 507, 938
Goodman J., Dickson E. S., 1998, @doi [ ] 10.1086/306348 , https://ui.adsabs.harvard.edu/abs/1998ApJ...507..938G 507, 938
1998 doi
-
[47]
G., 2024, MNRAS, 2024MNRAS.534..843G 534, 843
Goswamy T., Collier Cameron A., Wilson T. G., 2024, MNRAS, 2024MNRAS.534..843G 534, 843
2024
-
[48]
I., Barker A
Guo Z., Ogilvie G. I., Barker A. J., 2023, @doi [ ] 10.1093/mnras/stad569 , https://ui.adsabs.harvard.edu/abs/2023MNRAS.521.1353G 521, 1353
2023 doi
-
[49]
Harre J.-V., Smith A. M. S., 2023, @doi [Universe] 10.3390/universe9120506 , https://ui.adsabs.harvard.edu/abs/2023Univ....9..506H 9, 506
2023 doi
-
[50]
V., et al., 2023, @doi [ ] 10.1051/0004-6361/202244529 , https://ui.adsabs.harvard.edu/abs/2023A&A...669A.124H 669, A124
Harre J. V., et al., 2023, @doi [ ] 10.1051/0004-6361/202244529 , https://ui.adsabs.harvard.edu/abs/2023A&A...669A.124H 669, A124
2023 doi
-
[51]
D., et al., 2011, @doi [ ] 10.1088/0004-637X/726/1/52 , https://ui.adsabs.harvard.edu/abs/2011ApJ...726...52H 726, 52
Hartman J. D., et al., 2011, @doi [ ] 10.1088/0004-637X/726/1/52 , https://ui.adsabs.harvard.edu/abs/2011ApJ...726...52H 726, 52
2011 doi
-
[52]
A., Templeton M., Terrell D., Smith T
Henden A. A., Templeton M., Terrell D., Smith T. C., Levine S., Welch D., 2016, VizieR Online Data Catalog, https://ui.adsabs.harvard.edu/abs/2016yCat.2336....0H p. II/336
2016
-
[53]
H g E., et al., 2000, , https://ui.adsabs.harvard.edu/abs/2000A&A...355L..27H 355, L27
2000
-
[54]
Hoyer S., et al., 2013, @doi [ ] 10.1093/mnras/stt962 , https://ui.adsabs.harvard.edu/abs/2013MNRAS.434...46H 434, 46
2013 doi
-
[55]
Hroch F., 2014, Munipack: General astronomical image processing software , Astrophysics Source Code Library, record ascl:1402.006
2014
-
[56]
M., D \'e sert J
Huitson C. M., D \'e sert J. M., Bean J. L., Fortney J. J., Stevenson K. B., Bergmann M., 2017, @doi [ ] 10.3847/1538-3881/aa7f72 , https://ui.adsabs.harvard.edu/abs/2017AJ....154...95H 154, 95
2017 doi
-
[57]
Jehin E., et al., 2011, The Messenger, http://adsabs.harvard.edu/abs/2011Msngr.145....2J 145, 2
2011
-
[58]
M., et al., 2016, in Chiozzi G., Guzman J
Jenkins J. M., et al., 2016, in Chiozzi G., Guzman J. C., eds, Society of Photo-Optical Instrumentation Engineers (SPIE) Conference Series Vol. 9913, Software and Cyberinfrastructure for Astronomy IV. p. 99133E, @doi 10.1117/12.2233418
2016 doi
-
[59]
S., et al., 2023, @doi [ ] 10.3847/1538-4365/acae8d , https://ui.adsabs.harvard.edu/abs/2023ApJS..265...15J 265, 15
Jermyn A. S., et al., 2023, @doi [ ] 10.3847/1538-4365/acae8d , https://ui.adsabs.harvard.edu/abs/2023ApJS..265...15J 265, 15
2023 doi
-
[60]
C., Basturk O., Yal c inkaya S., Saguner Rambaldi T., Yerli S
Kutluay A. C., Basturk O., Yal c inkaya S., Saguner Rambaldi T., Yerli S. K., 2023, @doi [Turkish Journal of Astronomy and Astrophysics] 10.55064/tjaa.1307803 , https://ui.adsabs.harvard.edu/abs/2023TJAA....4...10A 4, 10
2023 doi
-
[61]
R., 2007, @doi [ ] 10.1111/j.1745-3933.2007.00306.x , https://ui.adsabs.harvard.edu/abs/2007MNRAS.377L..74L 377, L74
Liddle A. R., 2007, @doi [ ] 10.1111/j.1745-3933.2007.00306.x , https://ui.adsabs.harvard.edu/abs/2007MNRAS.377L..74L 377, L74
2007
-
[62]
Lightkurve Collaboration et al., 2018, Lightkurve: Kepler and TESS time series analysis in Python , Astrophysics Source Code Library, record ascl:1812.013
2018
-
[63]
Lindegren L., et al., 2021, @doi [ ] 10.1051/0004-6361/202039653 , https://ui.adsabs.harvard.edu/abs/2021A&A...649A...4L 649, A4
2021 doi
-
[64]
Ma L., Fuller J., 2021, @doi [ ] 10.3847/1538-4357/ac088e , https://ui.adsabs.harvard.edu/abs/2021ApJ...918...16M 918, 16
2021 doi
- [65]
-
[66]
Maciejewski G., 2022, @doi [ ] 10.32023/0001-5237/72.1.1 , https://ui.adsabs.harvard.edu/abs/2022AcA....72....1M 72, 1
2022 doi
-
[67]
E., 2011, @doi [Behavior Research Methods] 10.3758/s13428-010-0049-5 , 43, 679
Masson M. E., 2011, @doi [Behavior Research Methods] 10.3758/s13428-010-0049-5 , 43, 679
2011 doi
-
[68]
C., Sousa S
Mortier A., Santos N. C., Sousa S. G., Fernandes J. M., Adibekyan V. Z., Delgado Mena E., Montalto M., Israelian G., 2013, @doi [ ] 10.1051/0004-6361/201322240 , https://ui.adsabs.harvard.edu/abs/2013A&A...558A.106M 558, A106
2013 doi
-
[69]
A., Mead R., 1965, @doi [The Computer Journal] 10.1093/comjnl/7.4.308 , 7, 308
Nelder J. A., Mead R., 1965, @doi [The Computer Journal] 10.1093/comjnl/7.4.308 , 7, 308
1965 doi
-
[70]
B., Rawlik M., Ingargiola A., Nelson A., 2016, Lmfit: Non-Linear Least-Square Minimization and Curve-Fitting for Python , Astrophysics Source Code Library, record ascl:1606.014
Newville M., Stensitzki T., Allen D. B., Rawlik M., Ingargiola A., Nelson A., 2016, Lmfit: Non-Linear Least-Square Minimization and Curve-Fitting for Python , Astrophysics Source Code Library, record ascl:1606.014
2016
-
[71]
Nikolov N., Henning T., Koppenhoefer J., Lendl M., Maciejewski G., Greiner J., 2012, @doi [ ] 10.1051/0004-6361/201118336 , https://ui.adsabs.harvard.edu/abs/2012A&A...539A.159N 539, A159
2012 doi
-
[72]
Oriol A.-P., et al., 2023, @doi [ PeerJ Computer Science] 10.7717/peerj-cs.1516 , 9, e1516
2023 doi
-
[73]
C., Winn J
Patra K. C., Winn J. N., Holman M. J., Yu L., Deming D., Dai F., 2017, @doi [ ] 10.3847/1538-3881/aa6d75 , https://ui.adsabs.harvard.edu/abs/2017AJ....154....4P 154, 4
2017 doi
-
[74]
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
-
[75]
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
-
[76]
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
-
[77]
Paxton B., et al., 2018, @doi [ ] 10.3847/1538-4365/aaa5a8 , https://ui.adsabs.harvard.edu/abs/2018ApJS..234...34P 234, 34
2018 doi
-
[78]
Paxton B., et al., 2019, @doi [ ] 10.3847/1538-4365/ab2241 , https://ui.adsabs.harvard.edu/abs/2019ApJS..243...10P 243, 10
2019 doi
-
[79]
P., Mauas P
Petrucci R., Jofr \'e E., Schwartz M., C \'u neo V., Mart \' nez C., G \'o mez M., Buccino A. P., Mauas P. J. D., 2013, @doi [ ] 10.1088/2041-8205/779/2/L23 , https://ui.adsabs.harvard.edu/abs/2013ApJ...779L..23P 779, L23
2013 doi
-
[80]
L., et al., 2006, PASP, 2006PASP..118.1407P 118, 1407
Pollacco D. L., et al., 2006, PASP, 2006PASP..118.1407P 118, 1407
2006
-
[81]
D., Jayawardhana R., 2020, @doi [ ] 10.3847/1538-3881/abba1e , https://ui.adsabs.harvard.edu/abs/2020AJ....160..249R 160, 249
Ridden-Harper A., Turner J. D., Jayawardhana R., 2020, @doi [ ] 10.3847/1538-3881/abba1e , https://ui.adsabs.harvard.edu/abs/2020AJ....160..249R 160, 249
2020 doi
-
[82]
Roberts A., 1899, ApJ, 1899ApJ....10..308R 10, 308
-
[83]
N., 1899, ApJ, 1899ApJ....10..315R 10, 315
Russell H. N., 1899, ApJ, 1899ApJ....10..315R 10, 315
-
[84]
N., Holman M
Sanchis-Ojeda R., Winn J. N., Holman M. J., Carter J. A., Osip D. J., Fuentes C. I., 2011, @doi [ ] 10.1088/0004-637X/733/2/127 , https://ui.adsabs.harvard.edu/abs/2011ApJ...733..127S 733, 127
2011 doi
-
[85]
J., Finkbeiner D
Schlegel D. J., Finkbeiner D. P., Davis M., 1998, @doi [ ] 10.1086/305772 , https://ui.adsabs.harvard.edu/abs/1998ApJ...500..525S 500, 525
1998 doi
-
[86]
335, The Light-Time Effect in Astrophysics: Causes and cures of the O-C diagram
Schneider J., 2005, in Sterken C., ed., Astronomical Society of the Pacific Conference Series Vol. 335, The Light-Time Effect in Astrophysics: Causes and cures of the O-C diagram. p. 191
2005
-
[87]
Schwarz G., 1978, Annals of Statistics, https://ui.adsabs.harvard.edu/abs/1978AnSta...6..461S 6, 461
1978
-
[88]
Seager S., Mall \'e n-Ornelas G., 2003, @doi [ ] 10.1086/346105 , https://ui.adsabs.harvard.edu/abs/2003ApJ...585.1038S 585, 1038
2003 doi
-
[89]
G., et al., 2021, @doi [ ] 10.1051/0004-6361/202141584 , https://ui.adsabs.harvard.edu/abs/2021A&A...656A..53S 656, A53
Sousa S. G., et al., 2021, @doi [ ] 10.1051/0004-6361/202141584 , https://ui.adsabs.harvard.edu/abs/2021A&A...656A..53S 656, A53
2021 doi
-
[90]
Southworth J., et al., 2009a, MNRAS, 2009MNRAS.396.1023S 396, 1023
-
[91]
Southworth J., et al., 2009b, @doi [ ] 10.1111/j.1365-2966.2009.15283.x , https://ui.adsabs.harvard.edu/abs/2009MNRAS.399..287S 399, 287
2009
-
[92]
Southworth J., et al., 2014, MNRAS, 2014MNRAS.444..776S 444, 776
2014
-
[93]
Southworth J., et al., 2019, @doi [ ] 10.1093/mnras/stz2602 , https://ui.adsabs.harvard.edu/abs/2019MNRAS.490.4230S 490, 4230
2019 doi
-
[94]
G., Corsaro E., Pepper J
Stassun K. G., Corsaro E., Pepper J. A., Gaudi B. S., 2018, @doi [ ] 10.3847/1538-3881/aa998a , https://ui.adsabs.harvard.edu/abs/2018AJ....155...22S 155, 22
2018 doi
-
[95]
B., 1987, PASP, 1987PASP...99..191S 99, 191
Stetson P. B., 1987, PASP, 1987PASP...99..191S 99, 191
1987
-
[96]
Sun M., Townsend R. H. D., Guo Z., 2023, @doi [ ] 10.3847/1538-4357/acb33a , https://ui.adsabs.harvard.edu/abs/2023ApJ...945...43S 945, 43
2023 doi
-
[97]
R., Huber D., van Saders J., 2022, @doi [ ] 10.3847/1538-4357/ac4bbc , https://ui.adsabs.harvard.edu/abs/2022ApJ...927...31T 927, 31
Tayar J., Claytor Z. R., Huber D., van Saders J., 2022, @doi [ ] 10.3847/1538-4357/ac4bbc , https://ui.adsabs.harvard.edu/abs/2022ApJ...927...31T 927, 31
2022 doi
-
[98]
Townsend R. H. D., Teitler S. A., 2013, @doi [ ] 10.1093/mnras/stt1533 , https://ui.adsabs.harvard.edu/abs/2013MNRAS.435.3406T 435, 3406
2013 doi
-
[99]
D., Flagg L., Ridden-Harper A., Jayawardhana R., 2022, @doi [ ] 10.3847/1538-3881/ac686f , https://ui.adsabs.harvard.edu/abs/2022AJ....163..281T 163, 281
Turner J. D., Flagg L., Ridden-Harper A., Jayawardhana R., 2022, @doi [ ] 10.3847/1538-3881/ac686f , https://ui.adsabs.harvard.edu/abs/2022AJ....163..281T 163, 281
2022 doi
-
[100]
A., Marsh T
Watson C. A., Marsh T. R., 2010, @doi [ ] 10.1111/j.1365-2966.2010.16602.x , https://ui.adsabs.harvard.edu/abs/2010MNRAS.405.2037W 405, 2037
2010
-
[101]
N., Davachi N., Essick R., Yu H., Arras P., Belland B., 2024, @doi [ ] 10.3847/1538-4357/ad05c9 , https://ui.adsabs.harvard.edu/abs/2024ApJ...960...50W 960, 50
Weinberg N. N., Davachi N., Essick R., Yu H., Arras P., Belland B., 2024, @doi [ ] 10.3847/1538-4357/ad05c9 , https://ui.adsabs.harvard.edu/abs/2024ApJ...960...50W 960, 50
2024 doi
-
[102]
M., et al., 2008, @doi [ ] 10.1086/586735 , https://ui.adsabs.harvard.edu/abs/2008ApJ...675L.113W 675, L113
Wilson D. M., et al., 2008, @doi [ ] 10.1086/586735 , https://ui.adsabs.harvard.edu/abs/2008ApJ...675L.113W 675, L113
2008 doi
-
[103]
N., et al., 2008, @doi [ ] 10.1086/589737 , https://ui.adsabs.harvard.edu/abs/2008ApJ...683.1076W 683, 1076
Winn J. N., et al., 2008, @doi [ ] 10.1086/589737 , https://ui.adsabs.harvard.edu/abs/2008ApJ...683.1076W 683, 1076
2008 doi
-
[104]
N., Holman M
Winn J. N., Holman M. J., Carter J. A., Torres G., Osip D. J., Beatty T., 2009, @doi [ ] 10.1088/0004-6256/137/4/3826 , https://ui.adsabs.harvard.edu/abs/2009AJ....137.3826W 137, 3826
2009 doi
-
[105]
Yal c nkaya S., et al., 2024, @doi [ ] 10.1093/mnras/stae854 , https://ui.adsabs.harvard.edu/abs/2024MNRAS.530.2475Y 530, 2475
2024 doi
-
[106]
W., et al., 2020, @doi [ ] 10.3847/2041-8213/ab5c16 , https://ui.adsabs.harvard.edu/abs/2020ApJ...888L...5Y 888, L5
Yee S. W., et al., 2020, @doi [ ] 10.3847/2041-8213/ab5c16 , https://ui.adsabs.harvard.edu/abs/2020ApJ...888L...5Y 888, L5
2020 doi
-
[107]
Zhou G., Bayliss D. D. R., Kedziora-Chudczer L., Tinney C. G., Bailey J., Salter G., Rodriguez J., 2015, @doi [ ] 10.1093/mnras/stv2138 , https://ui.adsabs.harvard.edu/abs/2015MNRAS.454.3002Z 454, 3002
2015 doi
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