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REVIEW 3 major objections 4 minor 91 references

Homogeneously derived transit timings for 17 exoplanets and reassessed TTV trends for WASP-12 and WASP-4

T0 review · 3 major / 4 minor · reviewed 2026-08-14 · deepseek-v4-flash

Pith's one-line read WASP-12 shows a genuine quadratic transit-timing trend, but about 10% of it is a light-travel (Roemer) effect; the truly tidal decay time is 3.80 ± 0.40 Myr, while WASP-4's claimed trend is model-dependent.

desk verdict Solid homogeneous TTV study that confirms WASP-12's TTV trend, but the ~10% Roemer correction rests on a ~1-sigma RV choice; WASP-4 skepticism is well founded. read the letter →

arxiv 1908.04505 v1 pith:MHFTRQR4 submitted 2019-08-13 astro-ph.EP

classification astro-ph.EP
keywords transittimingvariationsWASP-12bWASP-4btidalorbitaldecayRoemereffectradialvelocityaccelerationhomogeneousphotometrylimb-darkeningcalibration
verification ladder T0 review T1 audit T2 compute T3 formal

The pith

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

The reading

This paper reprocesses about 1,100 transit light curves of 17 exoplanets through one common pipeline, so that all derived transit times are directly comparable. It confirms that WASP-12's transits arrive progressively earlier, a nonlinear trend significant at about nine sigma and consistent with the planet's orbit decaying. Adding archival radial-velocity data reveals a -7.5 ± 2.2 m/s/yr acceleration in WASP-12, attributed to an unseen distant companion; about 10 per cent of the observed trend is therefore a light-travel (Roemer) effect, and the truly tidal decay time becomes 3.80 ± 0.40 Myr rather than the apparent 3.47 ± 0.32 Myr. For WASP-4, the quadratic trend claimed from TESS data is model-dependent: it is absent from the homogeneous sample alone, and its significance drops to 2.8–3 sigma when four external transmission-spectroscopy timings are removed.

What carries the argument

The argument is carried by a quadratic transit-timing model $TTV(t)=T_0+(t-t_0)-(t-t_0)^2/(2T_d)$, where $T_d=-P/\dot P$ is the apparent period-decay time, together with the identity $T_d^{RA} = 300/c_1$ (with $c_1$ in m/s/yr giving $T_d$ in Myr), which converts a radial acceleration into an equivalent Roemer light-travel decay time. Subtracting $1/T_d^{RA}$ from $1/T_d$ isolates the tidal part. Around this, the paper builds a homogeneous pipeline: all ~1,100 lightcurves are reprocessed with the same red-noise model, the same quadratic limb-darkening law, and empirically debiased limb-darkening coefficients, then fitted jointly with archival radial velocities, including Rossiter–McLaughlin corrections.

What would settle it

Take new high-precision radial velocities of WASP-12 over the next several years: if the -7.5 ± 2.2 m/s/yr acceleration does not persist as a stable linear trend, the Roemer correction collapses and the tidal decay time returns to the apparent ~3.47 Myr. For WASP-4, a second season of homogeneous transits and simultaneous radial-velocity monitoring can decide whether any quadratic term remains once the four external transmission-spectroscopy timings are excluded.

Watch

Extended reading notes

Core claim

The central discovery is that a homogeneous, uniformly reprocessed transit-timing sample, combined with Doppler measurements, can separate genuine tidal orbital decay from light-travel artifacts. In WASP-12 the quadratic TTV trend is real and robust, with apparent decay time $T_d = 3.47\pm0.32$ Myr. Because the radial velocities show an acceleration $c_1 = -7.5\pm2.2$ m/s/yr, part of this apparent decay is a Roemer delay induced by a distant companion; subtracting the corresponding inverse decay time yields the truly tidal value $T_d^{tidal} = 3.80\pm0.40$ Myr. In WASP-4, the quadratic trend reported by a recent TESS-based analysis is not reproduced by the homogeneous data alone, and its significance depends heavily on four externally published timings and on how heterogeneous TTV noise is modelled, so the trend's existence and magnitude remain uncertain.

Load-bearing premise

The 10 per cent Roemer correction and the revised 3.80 Myr tidal time rest on the assumption that the measured -7.5 ± 2.2 m/s/yr radial acceleration is a real line-of-sight acceleration from an unseen companion, not red noise or an instrument artifact.

Editorial extensions

If this is right

  • WASP-12's orbit is decaying by tides, and the true decay time is about 10 per cent longer than the raw TTV trend suggests; tidal quality factor estimates based on the uncorrected value are slightly too aggressive.
  • Unseen companions can masquerade as apparent tidal decay in TTV data; any future TTV trend detection should be checked against Doppler accelerations before interpreting it as orbital decay.
  • WASP-4's claimed TTV trend is not robust: the homogeneous sample is consistent with a linear ephemeris, and removing four external timings reduces the significance to about 3 sigma, so it cannot yet be used to constrain tidal physics.
  • The empirical limb-darkening biases measured here, especially a roughly 0.1 shift in one of the quadratic coefficients, should be applied when reprocessing archival transit lightcurves, otherwise TTV noise is underestimated.
  • Merging heterogeneous TTV data with adaptive weighting, rather than plain merging, can substantially change trend significances and should become standard practice.

Reading between the lines

Editorial extensions of the paper, not claims the author makes directly.

  • If the WASP-12 radial acceleration is confirmed by further Doppler monitoring, the unseen companion's orbit could be constrained jointly from the TTV and RV signals, turning a nuisance into a discovery.
  • The WASP-4 case suggests that other published TTV trend claims based on mixed-quality timings may lose significance when reanalysed with separately weighted noise models; revisiting such claims could reveal a broader class of marginal detections.
  • The 10 per cent Roemer correction implies that TTV-only estimates of tidal decay times for hot Jupiters may be systematically biased by roughly that amount, which is comparable to current 1-sigma uncertainties and could matter for theory comparisons.
  • A practical extension would be to apply the same homogeneous reprocessing to much larger archival samples, since the pipeline's power comes from removing inter-team biases rather than from any single new observation.
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Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, and a circularity audit.

Referee Report

3 major / 4 minor

Summary. The paper presents a homogeneous re-analysis of roughly 1100 transit light curves for 17 exoplanet hosts, combining archival and new EXPANSION photometry with radial-velocity data for 13 targets. The authors derive transit timings with a common pipeline, empirically calibrate limb-darkening coefficients, and fit self-consistent transit-plus-RV models. Their main results are: (i) a high-significance (about 9-sigma) quadratic TTV trend in WASP-12, consistent with previous work and cross-checked against independent Maciejewski et al. timings; (ii) hints of a radial acceleration of approximately -7.5 +/- 2.2 m/s/yr for WASP-12, implying that roughly 10% of the apparent TTV is a Roemer effect and that the truly tidal decay time is T_tidal = 3.80 +/- 0.40 Myr; and (iii) a demonstration that the WASP-4 TTV trend reported by Bouma et al. is model-dependent, disappearing in the homogeneous sample and dropping to 2.8-3 sigma when the four Huitson et al. timings are removed. The paper also reports no significant periodic TTVs in the other targets and provides revised transit parameters and RV trends.

Significance. The paper's main strength is its careful attention to data homogeneity: the same pipeline and noise model are applied to all light curves, and the quantitative comparison with independent Maciejewski et al. timings for WASP-12 (12% RMS difference) provides a credible external validation. The empirical limb-darkening calibration and the likelihood-ratio analysis for WASP-4 are useful methodological contributions. If the WASP-12 radial acceleration is real, the Roemer correction would be an important new ingredient in interpreting this famous tidal-decay candidate, with consequences for the inferred tidal quality factor. The WASP-4 analysis is a valuable cautionary counterpoint to the earlier detection claim, and the release of the reprocessed photometry and derived timings is a community resource. The main caveats, which the authors themselves partly identify, concern the statistical support for the preferred RV fit in Section 7 and the conditional nature of the WASP-4 significance after subset removal; these points need to be addressed in revision.

major comments (3)
  1. [Section 7, Eq. (12), Table 5] The claimed 'roughly 10 per cent' Roemer correction is based on choosing the 'alternative' fit WASP-12' with c1 = -7.5 +/- 2.2 m/s/yr over the split-RV fit WASP-12 with c1 = -5.4 +/- 2.0 m/s/yr. The paper justifies this preference only qualitatively, by arguing that local red noise in short in-transit runs may contaminate the basic fit, and it gives no statistical model comparison (BIC/AIC or a formal test for local red noise). The two c1 values differ by less than one sigma. Propagating c1 = -5.4 through Eq. (12) gives T_tidal = 3.70 +/- 0.38 Myr instead of 3.80 +/- 0.40 Myr. The raw TTV detection is robust regardless of this choice, but the specific '~10 per cent larger' statement in the abstract and Section 7 is model-dependent; it should be supported by a quantitative comparison of the two fits or softened to a range that covers both values.
  2. [Section 5.5, Fig. 4] The 2.8-3 sigma significance quoted after removing the four Huitson et al. timings is computed from a merged compilation of heterogeneous TTV datasets. This is in tension with the paper's own central methodological warning that heterogeneous TTV data should not be plainly merged. The significance therefore measures the trend under a particular ad hoc subset and merging model, not on the homogeneous sample. The paper should state explicitly that this 2.8-3 sigma value is conditional on the adopted subset and noise model, and it should present the homogeneous-sample upper limit as the primary WASP-4 result. As written, a reader may overinterpret the 2.8-3 sigma as a robust estimate of the trend's significance.
  3. [Sections 5.1 and 5.5] The paper demonstrates in Section 5.1 that its own TTV uncertainties are underestimated by about 22 per cent for WASP-12 (reduced chi^2 = 1.49) and applies this correction in Section 5.4. It is not stated whether the WASP-4 homogeneous-sample significance limits in Fig. 4 include an analogous correction for WASP-4's reduced chi^2 = 1.31 from Table 2. If they do not, the statement that the homogeneous WASP-4 data are consistent with a linear ephemeris 'below 1-sigma' may be overconfident. The authors should specify whether the jitter and regularization parameters used in Fig. 4 were fit from the TTV residuals and, if so, quote the significance with and without the chi^2-based scaling.
minor comments (4)
  1. [Abstract and Section 5.5] There are typographical errors: 'homogeneus' should be 'homogeneous' in the abstract, and 'Peridograms' should be 'Periodograms' in Section 5.2.
  2. [Section 5.1] The statement that the 12 per cent RMS difference between the two WASP-12 TTV series is comparable to the 'probable statistical uncertainty (1/sqrt(N) for N=73)' is imprecise; the uncertainty of a ratio of two RMS estimates is more like sqrt(2/(N-1)) ~ 17 per cent. Please rephrase to avoid giving a misleading uncertainty estimate.
  3. [Section 4] The text says the 'Clear' band limb-darkening coefficients are always fitted, but the comparison with bolometric values in Figs 3 and 4 is said to be for reference only. It would be helpful to state explicitly how the final pipeline treats the Clear band, since this band includes many amateur light curves.
  4. [Section 2, Table 1] For Qatar-2, the assumption that the published 'BJD' times are in the TDB system is justified only by the statement that the TTV residuals look bad otherwise; the footnote could quantify how much the alternative UTC interpretation changes the derived timings, to make the assumption more transparent.

Circularity Check

0 steps flagged · score 0.0 of 10

No significant circularity: the TTV trend and the Roemer correction rest on independent observables.

full rationale

The WASP-12 quadratic TTV term is measured directly from the homogeneously reprocessed transit times (Fig. 2) and is cross-checked against the independent Maciejewski et al. (2016, 2018b) timings in Sect. 5.1, where both series give nearly identical trend fits. The radial acceleration c1 is derived from a separate observable, the Doppler data, and is not fitted to the TTV residuals; the Roemer decomposition in Eqs. (10)-(12) is a physical subtraction of two independently measured quadratic coefficients rather than an identity imposed by the model. The only judgment-sensitive step, preferring the WASP-12' RV fit with c1 = -7.5 m/s/yr over the split-RV value c1 = -5.4 m/s/yr, is explicitly presented as a belief rather than a statistical test, and the resulting ~10% correction is within the quoted 1-sigma uncertainty, so it does not constitute a forced prediction. The empirical limb-darkening bias calibration in Sect. 4 is a nuisance-parameter correction applied to the same lightcurves, but the target quantity, the long-term TTV trend, is not defined in terms of those biases and remains stable against the external comparison. For WASP-4, the paper's central claim is that the trend significance is model-dependent, which is a sensitivity analysis rather than a circular derivation. Self-citations to Baluev (2009, 2015, 2018) provide algorithms and software, but they are not invoked as the sole support for any scientific conclusion and do not make the derivation equivalent to its inputs.

Assumptions & free parameters 5 free parameters · 6 assumptions · 1 invented entities

The central claims depend on fitted TTV and RV trend parameters, on empirically calibrated limb-darkening shifts, and on a set of standard domain assumptions. No new fundamental entities are introduced except the inferred unseen companion around WASP-12, which lacks independent evidence.

free parameters (5)
  • WASP-12 TTV decay time Td = 3.47 +/- 0.32 Myr
    Fitted from the homogeneous WASP-12 transit timings as the quadratic TTV coefficient; basis for the tidal decay claim.
  • WASP-12 radial acceleration c1 = -7.5 +/- 2.2 m/s/yr
    Fitted from SOPHIE/HARPS/HIRES radial velocities in the alternative joint fit (Table 5); used to compute the Roemer correction.
  • Limb-darkening bias corrections = Delta A = 0.004 +/- 0.008, Delta B = -0.099 +/- 0.014
    Empirically fitted to Stage 3 lightcurve limb-darkening residuals; applied to fix coefficients in Stage 4.
  • Shared red-noise timescale tau = not quoted; range about 10 sec to 50 min, typically 1-5 min
    Shared tau for lightcurves without individually detected red noise; affects the TTV uncertainty budget.
  • TTV jitter for WASP-12 = 20.8 +/- 2.5 sec
    Inflates homogeneous TTV uncertainties to account for stellar activity; the noise scale factor is sqrt(chi2) about 1.33.
assumptions (6)
  • domain assumption Quadratic TTV model (Eq. 5) can represent tidal decay, apsidal precession, or Roemer effect
    Used throughout to fit and interpret TTV trends; assumes the physical cause appears as a constant period derivative over the observing window.
  • domain assumption Roemer effect relation Td = C/c1 (Eq. 11)
    Derives the light-travel time delay from a linear RV trend; assumes the acceleration is constant over the campaign.
  • standard math Quadratic limb-darkening law (Eq. 1) with monotonicity constraints
    Adopted for all lightcurve fits; the empirical bias corrections adjust the Claret coefficients.
  • domain assumption Statistical independence of TTV trend and RV trend coefficients
    Stated in Sect. 7 before combining the two values via Eq. (12); neglects shared parameters such as orbital period.
  • ad hoc to paper Exponential-correlation Gaussian process red noise model and its detection criteria
    Adopted from Baluev 2015/2018; the shared-tau treatment for poorly constrained lightcurves is specific to this pipeline.
  • domain assumption Stellar masses in Table 4 are fixed and their uncertainties ignored
    Joint transit+RV fits use fixed reference masses; scaling laws (Eq. 7) allow rebasing, but uncertainties are not propagated.
invented entities (1)
  • Unseen distant companion(s) around WASP-12
    purpose: To explain the measured radial acceleration and the Roemer contribution to the TTV trend
    No direct detection, orbital parameters, or predicted period/mass; only the acceleration from this paper's RV data.

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Cite this review

Pith. "Pith review of Homogeneously derived transit timings for 17 exoplanets and reassessed TTV trends for WASP-12 and WASP-4." pith.science (2026). https://pith.science/paper/MHFTRQR4

@misc{pith2026190804505,
  author       = {Pith},
  title        = {Pith review of: Homogeneously derived transit timings for 17 exoplanets and reassessed TTV trends for WASP-12 and WASP-4},
  year         = {2026},
  howpublished = {\url{https://pith.science/paper/MHFTRQR4}},
  note         = {Machine review of arXiv:1908.04505}
}
abstract

We homogeneously analyse $\sim 3.2\times 10^5$ photometric measurements for $\sim 1100$ transit lightcurves belonging to $17$ exoplanet hosts. The photometric data cover $16$ years 2004--2019 and include amateur and professional observations. Old archival lightcurves were reprocessed using up-to-date exoplanetary parameters and empirically debiased limb-darkening models. We also derive self-consistent transit and radial-velocity fits for $13$ targets. We confirm the nonlinear TTV trend in the WASP-12 data at a high significance, and with a consistent magnitude. However, Doppler data reveal hints of a radial acceleration about $(-7.5\pm 2.2)$~m/s/yr, indicating the presence of unseen distant companions, and suggesting that roughly $10$ per cent of the observed TTV was induced via the light-travel (or Roemer) effect. For WASP-4, a similar TTV trend suspected after the recent TESS observations appears controversial and model-dependent. It is not supported by our homogeneus TTV sample, including $10$ ground-based EXPANSION lightcurves obtained in 2018 simultaneously with TESS. Even if the TTV trend itself does exist in WASP-4, its magnitude and tidal nature are uncertain. Doppler data cannot entirely rule out the Roemer effect induced by possible distant companions.

Figures

Figures reproduced from arXiv: 1908.04505 by the authors.

Figure 1
Figure 1. Histograms of the estimated photometric red noise parameters, τ and σr, and of the relative red noise contribution in the total RMS. We used only those estimations of τ and σr on Stage 4 that exceeded their respective uncertainty. models correct, then this Femp(ε) should be close to stan￾dard Gaussian, F(ε) = Φ(ε). Hence the quantile function Q(ε) = Φ−1 (Femp(ε)) should be close to Q(ε) = ε. The graph of Q(ε) is the… view at source ↗
Figure 2
Figure 2. Transit times of WASP-12 derived in this work. Top panel is for all the TTV data (stage 4), bottom panel is for only HQ ones (stage 5). The models of the quadratic TTV trend are also plotted (for the multiplicative noise model). MNRAS 000, 1–19 (2019) [PITH_FULL_IMAGE:figures/full_fig_p011_2.png] view at source ↗
Figure 3
Figure 3. Transit times of WASP-4, including the homogeneous sample from this work (without DFOSC data possibly affected by clock errors), and the timing data published in literature without lightcurves. Top panel is for all the TTV data (Stage 4), bottom panel is for only HQ ones (Stage 5). Several models of the quadratic TTV trend are also plotted with the trend significance labelled in the legend (for the regularized noise… view at source ↗
Figures from the paper (1 more)
Figure 4
Figure 4. Figure 4: Logarithm of the likelihood ratio statistic for WASP-4, Z(q), as a function of q = T −1 d . Three graphs correspond to different compilations of TTV data (homogeneous from this work / all / all but Huitson et al. (2017)). The curves within each graph correspond to diff…

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Pith tools

Reviewed August 14, 2026 · model on record in the stance chip above.