Evidence for LP 890-9d via Transit Timing Variations
Abstract: LP 890-9, also known as SPECULOOS-2 and TOI-4306, is a nearby late-M dwarf hosting two confirmed transiting rocky exoplanets. We analyze 20 JWST/NIRSpec PRISM transits of LP 890-9b and LP 890-9c obtained as part of GO program 7073 and detect statistically significant transit timing variations (TTVs), with peak-to-peak amplitudes of ~17 s and ~35 s, respectively. Using analytic linear TTV theory, we find that the known two-planet configuration cannot reproduce the measured TTV amplitudes or super-period, whereas three-planet models provide substantially better fits. The best-fit configuration places the candidate third planet, LP 890-9d, between planets b and c, with an orbital period of ~4.4 days; however, the current data do not uniquely determine its orbital architecture, and periods spanning 4.0-6.9 days remain plausible. TESS is insensitive to transits of LP 890-9d and we find no evidence for the candidate in JWST observations, although the phase coverage (ranging from ~50% to ~80%) depends strongly on the candidate orbital period. Additional high-precision transit observations of LP 890-9b and LP 890-9c are needed to refine their TTV solutions and further constrain the orbital properties of the third planet.
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1. ¿De qué trata el artículo?
Este artículo estudia un sistema de planetas llamado LP 890-9, que está alrededor de una estrella pequeña y fría. Ya se conocen dos planetas:
- LP 890-9b, que tarda unos 2,7 días en dar una vuelta a la estrella.
- LP 890-9c, que tarda unos 8,5 días y está en una zona donde podría ser posible que existiera agua líquida.
Los investigadores encontraron señales de que podría existir un tercer planeta, llamado provisionalmente LP 890-9d. Este planeta no ha sido observado directamente, pero su gravedad parece estar alterando ligeramente los momentos en que pasan los otros planetas frente a la estrella.
2. ¿Qué querían averiguar los investigadores?
Las principales preguntas fueron:
- ¿Los planetas b y c pasan frente a la estrella exactamente cuando se espera?
- Si no lo hacen, puede deberse a la gravedad de un tercer planeta?
- Dónde podría estar LP 890-9d y cuánto podría tardar en completar una órbita?
- Podría observarse directamente ese planeta con telescopios como JWST o TESS?
La idea principal es parecida a observar un reloj. Si un planeta pasa delante de su estrella un poco antes o después de lo esperado, quizá otro planeta esté “tirando” de él con su gravedad.
3. ¿Cómo hicieron la investigación?
Observaciones con el telescopio espacial James Webb
Los científicos estudiaron 20 tránsitos de los planetas b y c usando el telescopio espacial James Webb, conocido como JWST.
Un tránsito ocurre cuando un planeta pasa delante de su estrella desde nuestro punto de vista. Durante ese momento, la estrella parece hacerse un poco menos brillante. Midiendo ese pequeño oscurecimiento, los astrónomos pueden saber cuándo ocurrió el tránsito.
Usaron dos programas informáticos independientes para analizar los datos. Esto es como pedir a dos equipos diferentes que midan la misma distancia: si obtienen resultados parecidos, aumenta la confianza en la medición.
Variaciones en los tiempos de tránsito
Los investigadores calcularon la hora esperada de cada tránsito y la compararon con la hora real. Estas diferencias se llaman variaciones en el tiempo de tránsito, o TTV por sus siglas en inglés.
En palabras sencillas:
- Si un planeta estuviera completamente solo, sus tránsitos ocurrirían casi como los trenes de un horario fijo.
- Si otro planeta se acercara y tirara de él con su gravedad, algunos tránsitos ocurrirían un poco antes y otros un poco después.
También probaron distintos modelos informáticos:
- Un modelo con solo los dos planetas conocidos.
- Un modelo con un tercer planeta entre b y c.
- Un modelo con un tercer planeta más lejos que c.
Los investigadores utilizaron simulaciones de las órbitas y métodos estadísticos para descubrir qué modelos coincidían mejor con las observaciones.
Búsqueda directa del tercer planeta
Además, buscaron tránsitos de LP 890-9d en datos de:
- JWST
- TESS, otro telescopio espacial que observa cambios de brillo en estrellas.
También comprobaron si las órbitas posibles serían estables durante mucho tiempo, es decir, si los planetas podrían seguir girando sin chocar o expulsarse unos a otros.
4. ¿Cuáles fueron los principales resultados?
Los planetas no siguen un horario perfectamente regular
El planeta b mostró variaciones de aproximadamente 17 segundos entre sus tránsitos más tempranos y más tardíos.
El planeta c mostró variaciones mayores, de unos 35 segundos.
Aunque unos pocos segundos parecen muy poco tiempo, medirlos es difícil. El telescopio James Webb es tan preciso que pudo detectar estas pequeñas diferencias.
Dos planetas no explican bien las observaciones
El modelo con solo los planetas b y c no pudo explicar correctamente:
- El tamaño de las variaciones observadas.
- El ritmo general con el que esas variaciones se repiten.
- Algunas variaciones importantes observadas en el planeta b.
Esto sugiere que puede haber un tercer planeta ejerciendo influencia gravitatoria.
La mejor opción coloca al tercer planeta entre b y c
El modelo que funcionó mejor coloca a LP 890-9d entre los dos planetas conocidos. En ese modelo:
- LP 890-9b tarda unos 2,7 días en completar una vuelta.
- LP 890-9d tardaría aproximadamente 4,4 días.
- LP 890-9c tarda unos 8,5 días.
Sin embargo, los datos todavía permiten otros periodos para el planeta d, aproximadamente entre 4,0 y 6,9 días. Por eso, los investigadores consideran que la existencia del planeta es una posibilidad importante, pero aún no una confirmación definitiva.
El posible planeta sería pequeño
Según los cálculos, LP 890-9d podría tener una masa parecida a la de Marte, aunque las estimaciones todavía son inciertas.
Si tuviera una composición rocosa similar a la de la Tierra, podría medir entre aproximadamente la mitad y dos tercios del tamaño de la Tierra.
Los investigadores calcularon que su señal sería demasiado débil para que TESS la detectara con facilidad. Esto explica por qué no apareció claramente en los datos de ese telescopio.
No observaron directamente un tránsito de LP 890-9d
No encontraron un tránsito claro del posible planeta d en las observaciones existentes de JWST. Pero esto no demuestra que no exista. Puede que:
- El planeta no pasara frente a la estrella durante las horas observadas.
- Su órbita esté ligeramente inclinada.
- El planeta sea demasiado pequeño para producir una señal fácil de detectar.
Por ejemplo, una inclinación de solo aproximadamente un grado podría hacer que el planeta dejara de pasar directamente por delante de la estrella.
Otros datos no confirman por sí solos el tercer planeta
Cuando los investigadores analizaron únicamente datos de TESS, telescopios terrestres y mediciones de velocidad radial, no encontraron pruebas suficientemente fuertes de un tercer planeta.
La velocidad radial mide pequeños movimientos de la estrella causados por la gravedad de sus planetas. En este caso, esas mediciones no fueron lo bastante precisas para resolver el problema.
5. ¿Por qué es importante este resultado?
El resultado es importante porque muestra que se pueden descubrir planetas incluso cuando no se ven directamente.
Normalmente, los astrónomos buscan un planeta observando cómo bloquea parte de la luz de su estrella. Pero un planeta podría no pasar frente a la estrella desde nuestra posición. Aun así, su gravedad puede mover ligeramente a otros planetas. Es como notar que alguien está empujando un columpio aunque no podamos ver a la persona que empuja.
Este estudio también muestra la enorme precisión del telescopio James Webb. Sus observaciones, creadas principalmente para estudiar atmósferas de planetas, también pueden servir para medir sus órbitas con diferencias de solo unos segundos.
Conclusión
El artículo presenta evidencia de que podría existir un tercer planeta, LP 890-9d, en el sistema LP 890-9. La explicación que mejor encaja con los datos coloca a este planeta entre los dos planetas conocidos, probablemente con un periodo orbital cercano a 4,4 días.
Aun así, los científicos son cuidadosos: los datos actuales no indican con certeza dónde está el planeta ni prueban definitivamente que exista. Hay varias órbitas posibles y no se ha visto un tránsito directo.
Para resolver el misterio se necesitarán más observaciones precisas de los planetas b y c. Si las nuevas mediciones muestran las mismas variaciones, la evidencia de LP 890-9d será mucho más fuerte. Este trabajo podría ayudar a comprender mejor cómo se forman y cómo se organizan los sistemas planetarios pequeños y rocosos, incluidos aquellos que podrían tener condiciones interesantes para la habitabilidad.
Knowledge Gaps
The paper leaves the following knowledge gaps, limitations, and open questions unresolved:
- The existence of LP 890-9d is not independently confirmed. The evidence relies primarily on JWST TTVs, while the TESS, ground-based photometry, and radial-velocity data do not significantly favor a three-planet model.
- The orbital period of LP 890-9d remains highly degenerate. Multiple interior solutions spanning approximately 4.0–6.9 days remain viable, as do exterior solutions with periods of roughly 10–28 days.
- The preferred 4.4-day solution is not uniquely established. The 4.4- and 5.8-day configurations provide statistically similar fits in the combined analyses, and the preference for the shorter period may change with additional timing data.
- The candidate planet’s orbital architecture is incompletely constrained. Its eccentricity, orbital phase, mutual inclination, and longitude of periapse remain poorly determined because LP 890-9d is not observed to transit.
- The planetary ordering is uncertain. Although the interior configuration better reproduces the measured TTVs of planet b, exterior configurations can reproduce much of planet c’s timing signal and cannot be completely excluded by the current data.
- The reliability of the measured planet-b TTVs requires further verification. The inferred preference for an interior perturber depends strongly on the relatively large timing deviations of LP 890-9b, which are based on only eight JWST transits over a 43-day baseline.
- The current observations do not cover a complete TTV super-period. The planet-b observations span only about 40% of the inferred approximately 105-day super-period, limiting the ability to distinguish periodic TTV structure from trends, aliases, or noise.
- The physical origin of the TTV signal remains uncertain. The analysis does not fully exclude stellar systematics, instrumental effects, imperfect noise modeling, transit-shape systematics, or correlated errors as contributors to the measured timing variations.
- The two timing-reduction pipelines are not fully independent in their underlying data and modeling assumptions. Their agreement supports the signal, but shared JWST systematics and common transit-model assumptions could still produce correlated results.
- The adopted timing uncertainties may not capture all sources of uncertainty. Tswift uses prayer-bead resampling and Eureka! inflates uncertainties using correlated-noise factors, but neither approach fully establishes whether the residual noise is stationary, Gaussian, or representative across visits.
- The influence of limb-darkening assumptions on the transit times is not systematically quantified. The analyses fix or tightly constrain limb-darkening coefficients from stellar-atmosphere models, leaving uncertainty from model inadequacy or wavelength-dependent stellar properties insufficiently explored.
- Transit timing and transit-shape parameters may retain unmodeled covariance. In particular, correlations among transit time, impact parameter, radius ratio, baseline trends, and stellar variability could affect the inferred few-second timing signals.
- The analytic TTV model may be inadequate for all allowed configurations. TTV2Fast2Furious relies on linear theory that is most accurate for low eccentricities and small perturbations, whereas some posterior samples have moderate eccentricities and lie near resonances.
- The direct N-body validation is restricted by strong assumptions. The TTVFast analysis fixes the inclinations and nodal longitudes, fits a restricted interior-perturber range, and removes linear ephemeris differences through fitted lines, so it does not test the full orbital solution space.
- The dynamical fits do not comprehensively search all possible multi-planet architectures. The analysis focuses on two representative three-planet configurations and does not systematically investigate additional planets, non-coplanar systems, or alternative numbers of perturbers.
- The stability assessment is incomplete. AMD stability does not account for resonance-driven chaos or short-timescale dynamical behavior, and the paper does not provide long-duration N-body survival tests for the full posterior distribution.
- The inferred mass of LP 890-9d is strongly prior-dependent. Its mass is not directly measured; estimates depend on assumed mass priors for the known planets and on the dynamical model, which is itself degenerate.
- The assumed Earth-like density for LP 890-9d is unverified. The predicted radius, transit depth, and composition are derived under an Earth-like bulk-density assumption and could differ substantially for an iron-rich, volatile-rich, or otherwise non-Earth-like planet.
- The radius and mass estimates of planets b and c remain limited by stellar-parameter uncertainties. The adopted stellar radius and mass dominate or substantially contribute to the derived planetary properties, and possible stellar-model systematics are not fully propagated.
- The non-detection of LP 890-9d in JWST data does not strongly constrain its existence. JWST phase coverage is incomplete, especially for longer-period candidates, and the analysis assumes a transiting geometry when converting non-detection into radius limits.
- The JWST transit-search sensitivity is evaluated mainly for one observing baseline and one assumed geometry. Detection limits could vary with transit duration, impact parameter, stellar variability, baseline treatment, and the actual orbital period and phase.
- The possible non-coplanarity of LP 890-9d is not observationally constrained. A mutual inclination of approximately could prevent transits, but the paper does not establish an inclination posterior or determine whether such an architecture is dynamically or formation-wise likely.
- The TESS non-detection is insufficient to exclude sub-Earth-sized transits. The reported sensitivity of roughly 0.44–0.68 Earth radii is above or comparable to the predicted radius range, leaving the candidate’s transit depth and radius unconstrained.
- The search for TESS transits may be affected by the assumed ephemeris and transit-duration scaling. A fixed arbitrary epoch and duration estimated from planet c may reduce sensitivity to candidates with different orbital phases, eccentricities, inclinations, or transit durations.
- The combined photometric and RV analysis is limited by data quality and model assumptions. The control two-planet model is favored by some information criteria, but the fit is sensitive to initialization and to how signals are allocated among planets.
- The radial-velocity data do not provide a meaningful independent mass constraint for LP 890-9d. The existing RV baseline and precision are insufficient to distinguish the candidate configurations or confirm the predicted sub-Earth-mass perturber.
- The analysis does not quantify the false-alarm probability of the TTV detection under realistic correlated-noise and model-misspecification scenarios. A formal comparison against simulated null datasets would be needed to establish the robustness of the claimed evidence.
- The long-term dynamical and evolutionary implications of the candidate remain unexplored. The paper does not determine whether the possible planet’s orbit is compatible with formation and migration histories, tidal evolution, atmospheric retention, or the long-term habitability of LP 890-9c.
- The atmospheric and compositional properties of LP 890-9d are entirely unknown. Its possible irradiation, atmosphere, bulk composition, and habitability cannot be assessed without a confirmed radius, mass, or transit signal.
- The optimal future observing strategy is not quantitatively established. The paper identifies additional high-precision transit timings as necessary but does not determine the number, timing, precision, or instrument requirements needed to distinguish the remaining orbital families.
- The predicted improvement from future JWST observations is not demonstrated with prospective simulations. The study does not show how many additional transits of planets b and c would be required to resolve the period, mass, phase, and inclination degeneracies.
- The paper does not test whether contemporaneous ground-based or space-based timing observations could reproduce the JWST signal. Independent observations using different instruments and reduction methods are needed to separate astrophysical TTVs from JWST-specific systematics.
Practical Applications
Immediate Applications
- Exoplanet-detection workflow for non-transiting planets — astronomy/software. The study demonstrates a deployable pipeline for identifying unseen planetary companions from transit timing variations (TTVs): reduce JWST time-series data with independent pipelines, estimate transit times, model correlated noise, fit dynamical configurations, and compare two- versus three-planet models. This workflow can be adapted to other compact systems observed by JWST, CHEOPS, PLATO, TESS, and ground-based observatories. Dependencies: Requires transit-time precision of a few seconds, reliable treatment of red noise, accurate stellar and planetary parameters, and sufficiently long temporal baselines. Analytic TTV models are most reliable for low-mass, low-eccentricity systems.
- Prioritization of follow-up observations — observatory operations and astronomy. The inferred candidate period range of approximately 4.0–6.9 days, together with the JWST phase-coverage calculation, can be used immediately to schedule additional observations of LP 890-9b and LP 890-9c. Observers can select epochs that maximize the predicted separation between competing TTV models or maximize the probability of directly capturing an LP 890-9d transit. Dependencies: The candidate period remains degenerate, and the assumed planet is transiting or close to coplanar. Scheduling should therefore optimize across multiple posterior solutions rather than target only the nominal 4.4-day period.
- Transit-timing monitoring programs — astronomy and mission planning. The measured TTV amplitudes, approximately 17 seconds for planet b and 35 seconds for planet c, establish a practical target for future timing precision. Repeated high-precision observations can refine the TTV super-period, distinguish an interior perturber from an exterior one, and test whether the planet-b timing signal is astrophysical. Dependencies: Additional measurements must be placed over a substantially longer baseline than the current observations and should preserve second-level timing accuracy. Ground-based observations alone may be insufficient because their typical timing uncertainties are around one minute.
- Independent pipeline validation for space-telescope photometry — scientific data processing. The agreement between the Tswift and Eureka! reductions provides a practical quality-control model: process the same observations independently, compare transit times, and inflate formal uncertainties using residual permutation or correlated-noise estimates. This can become a standard validation step for JWST transit-timing studies. Dependencies: Agreement between pipelines does not eliminate shared instrumental or astrophysical systematics. Independent reductions should use genuinely different background, aperture, noise, and detrending assumptions.
- Improved ephemerides for atmospheric characterization — exoplanet science and telescope scheduling. Precise transit times for LP 890-9b and LP 890-9c can improve future scheduling of transmission spectroscopy and reduce the risk of missing ingress or egress. This is particularly relevant for LP 890-9c, a temperate terrestrial planet near the habitable zone. Dependencies: TTVs must be incorporated into scheduling tools rather than extrapolating a fixed linear ephemeris. The candidate third planet could make future transit times depart further from a simple ephemeris.
- Public reproducibility resources and educational examples — academia. The paper’s combination of JWST light-curve reduction, prayer-bead uncertainty estimation, sinusoidal super-period searches, analytic TTV fitting, direct N-body checks, and orbital-stability classification can serve as a case study or teaching benchmark for graduate courses and research software. Dependencies: Reuse requires access to calibrated JWST data, well-documented code, and careful distinction between illustrative best-fit solutions and statistically established orbital parameters.
- Constraints on automated transit searches — astronomy and machine learning. The TESS analysis shows that standard transit-search pipelines may fail for sub-Earth-sized planets: the predicted LP 890-9d transit depths of roughly 1,000–1,350 ppm are below the available TESS sensitivity, which corresponds to approximately 0.44–0.68 Earth radii in this dataset. This can inform detection-threshold calibration and prevent interpreting a non-detection as evidence that a planet is absent. Dependencies: Sensitivity depends on stellar brightness, sector coverage, detrending, transit duration, and the number of observed transits. Detection limits must be computed for each target rather than transferred directly between systems.
- More reliable uncertainty reporting in time-series astronomy — scientific methodology. The study provides an actionable example of why formal MCMC timing uncertainties should be inflated when residuals are time-correlated. Prayer-bead resampling and excess-noise factors can be incorporated into current light-curve analysis workflows for JWST and other observatories. Dependencies: Residual permutation assumes that the residual structure is representative and may not capture all forms of nonstationary noise. Gaussian likelihoods and fixed limb-darkening assumptions also remain potential sources of bias.
Long-Term Applications
- A general survey for hidden planets in compact M-dwarf systems — astronomy and planetary demographics. If validated, the method could support a systematic survey of multi-transiting M-dwarf systems for non-transiting companions. TTVs would provide mass and architecture information for small planets that are difficult to characterize with radial velocities, enabling population studies of sub-Earth and Earth-sized planets. Dependencies: This requires long observational baselines, homogeneous timing uncertainties, robust treatment of TTV degeneracies, and complementary radial-velocity or transit observations. The LP 890-9 case itself shows that a strong TTV signal may still admit many orbital solutions.
- Joint TTV–radial-velocity–photometry inference platforms — astronomy software. A future tool could combine JWST and ground-based transit times, TESS photometry, radial velocities, direct N-body integrations, atmospheric data, and orbital-stability tests in one Bayesian framework. Such a platform would help distinguish true additional planets from signal redistribution among known planets, a problem encountered in the paper’s combined fits. Dependencies: The tool would need consistent instrument models, stellar-activity treatment, flexible noise models, physically valid priors, and model comparison methods less sensitive than a single information criterion.
- Direct confirmation and physical characterization of LP 890-9d — planetary science. Dedicated photometric monitoring could determine whether LP 890-9d transits and measure its radius. Combined with TTV-derived mass estimates, this would yield a bulk density and help test whether the candidate is a Mars- to Venus-sized rocky planet. The favored interior solution predicts approximately and under an Earth-like-density assumption. Dependencies: These values are model-dependent and should not be treated as measurements until the orbital period, transit geometry, and mass are independently constrained. A mutual inclination of roughly one degree could prevent transits even if the planet exists.
- Target selection for atmospheric studies of temperate terrestrial planets — space science. If a third planet is confirmed, the LP 890-9 system could become a multi-planet laboratory for comparing atmospheric evolution across planets receiving different irradiation. The candidate’s estimated equilibrium temperature near 335 K in the preferred interior model could support comparative studies with LP 890-9c. Dependencies: Atmospheric characterization would require a confirmed radius, sufficiently favorable transit geometry, adequate signal-to-noise, and validated stellar-activity assumptions. Equilibrium temperatures depend on albedo and heat redistribution, which are not measured here.
- Improved dynamical-stability screening for exoplanet catalogs — astronomy and mission planning. The use of angular momentum deficit (AMD) classifications and direct N-body modeling could be incorporated into catalog pipelines to flag candidate planetary systems requiring stability analysis before expensive follow-up. This is useful for compact systems where adding a dynamically inferred planet may push the architecture toward instability. Dependencies: AMD stability is a screening criterion, not a complete stability proof. Mean-motion resonances, chaotic behavior, and long-term integrations must be evaluated for systems classified as AMD-unstable or marginal.
- Adaptive observation scheduling driven by posterior uncertainty — observatory automation. Future observatories could use Bayesian experimental-design tools to select the next transit that maximizes information gain: for example, an observation chosen to separate the 4.4-day, 5.8-day, and longer-period candidate architectures. The same approach could dynamically update schedules as new TTV measurements arrive. Dependencies: This requires real-time or near-real-time reduction pipelines, validated dynamical posteriors, accurate visibility constraints, and sufficient telescope availability. The strategy is only as good as the competing models supplied to the scheduler.
- Population-level estimates of small-planet masses and densities — academia and planetary formation theory. Applying the demonstrated TTV methodology across many systems could improve estimates of the mass–radius relation for rocky planets, test the frequency of compact resonant architectures, and constrain the prevalence of non-transiting companions around cool stars. Dependencies: Selection effects are substantial: TTV detection favors compact systems near resonances, systems with small host stars, and planets observed repeatedly. Population analyses must model these biases and avoid treating non-detections as evidence for the absence of companions.
- Refined validation standards for claimed TTV discoveries — scientific policy and research practice. The paper supports a stronger community standard: a TTV-based planet claim should report multiple orbital families, baseline limitations, correlated-noise treatment, stability tests, complementary-data fits, and the possibility that the inferred solution is non-unique. This could inform journal review criteria, archive metadata, and exoplanet-catalog validation protocols. Dependencies: Such standards require community agreement on model-comparison thresholds and reproducible access to timing measurements, priors, posterior samples, and reduction code. In this case, the TTV evidence favors a third planet, but the independent TESS, ground-based, and radial-velocity data do not provide compelling confirmation on their own.
Glossary
- Angular momentum deficit (AMD): A dynamical measure of how much orbital angular momentum a planetary system lacks relative to a coplanar, circular configuration, used to assess orbit-crossing stability. “We evaluated the long-term orbital stability of each posterior sample using its angular momentum deficit (AMD, Laskar 2000; Laskar & Petit 2017).”
- Aperture photometry: Measurement of a source’s brightness by summing detector counts within a defined spatial region. “The optimal aperture size is 7 pixels (full-width).”
- Argument of periapsis: The orbital angle specifying the direction of a body’s closest approach to its star. “the argument of periapsis”
- Affine-invariant ensemble MCMC: A Markov chain Monte Carlo method using multiple interacting “walkers” designed to sample parameter spaces efficiently under affine transformations. “We performed Bayesian inference using affine-invariant ensemble MCMC sampling with emcee”
- Albedo: The fraction of incident radiation reflected by a planetary body. “The equilibrium temperature calculation assumes zero albedo and full heat redistribution.”
- Bayesian inference: Statistical inference that combines prior distributions with observational data through a likelihood to obtain posterior distributions. “We performed Bayesian inference using affine-invariant ensemble MCMC sampling with emcee”
- Burn-in: The initial portion of an MCMC chain discarded before estimating the posterior distribution because the samples may still depend on their starting positions. “discarded at least the first 80,000 steps as burn-in”
- Chopping signal: A short-timescale transit-timing variation caused by the gravitational perturbations a planet experiences near conjunction with another planet. “conjunction-scale timing structure (i.e., ‘chopping’)”
- Coplanar: Describing orbits that lie in the same geometric plane. “We considered a coplanar three-planet system”
- Credible interval: A Bayesian interval containing a specified posterior probability for a parameter. “Uncertainties are quoted as 68% credible intervals.”
- Differential evolution: A population-based global optimization algorithm that searches parameter space using mutation and recombination of candidate solutions. “We performed a global optimization using differential evolution to obtain initial best-fit parameters.”
- Dynamical inference: The estimation of physical and orbital properties from a model of gravitational interactions. “We performed the dynamical inference by fitting the measured transit times directly.”
- Dynamical perturbation: A change in an orbit caused by gravitational interaction with another body. “to test whether the known planets are dynamically perturbed by an additional companion.”
- Ephemeris: A mathematical prediction of an object’s positions or event times, such as the times of planetary transits. “deviations from a linear ephemeris”
- Eccentricity vector: A vector representation of orbital eccentricity, commonly expressed through the components and . “the eccentricity-vector components (e cos ω and e sin ω)”
- Effective temperature: The temperature of a blackbody emitting the same total radiation per unit area as a star or planet. “With an effective temperature of 2850 ± 75 K”
- Ingress and egress: The beginning and ending portions of a transit, when a planet crosses onto and off the stellar disk. “a pattern indicative of a transit-time offset.”
- Information criterion: A statistical model-selection measure that balances goodness of fit against model complexity, such as AIC or BIC. “The information criteria favor the bdc Solution”
- Keplerian orbit: An orbit governed by the idealized two-body solution to Newtonian gravity. “In a Keplerian two-body system, transits occur strictly periodically.”
- Limb darkening: The apparent decrease in stellar surface brightness from the center of the disk toward its edge. “with quadratic limb darkening.”
- Likelihood: A function measuring how probable the observed data are under specified model parameters. “The fits combined the TESS photometry, ground-based transit observations from SPECULOOS and TRAPPIST-South, and IRD H- and YJ-band RV measurements”
- Long-period solution: An orbital interpretation in which the candidate planet has a comparatively large orbital period relative to alternative models. “the 18.4-day solution resulted in a lower likelihood”
- Mean anomaly: An orbital phase angle that increases uniformly with time and specifies a body’s position along its orbit relative to periapsis. “the orbital period and mean anomaly of planet d.”
- Mean-motion resonance: A near-integer relationship between the orbital periods of two bodies that enhances their gravitational interactions. “particularly compact systems near mean-motion resonances”
- Markov chain Monte Carlo (MCMC): A computational method that samples a probability distribution by constructing a Markov chain whose long-run behavior matches the target posterior. “The joint fit used emcee”
- Maximum a posteriori (MAP): The parameter value or sample with the highest posterior probability. “We adopted the maximum-a-posteriori sample as the representative best-fit solution”
- N-body integration: Numerical calculation of the motions of multiple gravitationally interacting bodies over time. “direct N -body integrations with TTVFast”
- Nonlinear ramp: A time-dependent detector response feature in which measured counts change nonlinearly during an exposure sequence. “which contain the strongest nonlinear ramp.”
- Orbital architecture: The arrangement of planets’ orbital periods, sizes, orientations, and other dynamical properties within a planetary system. “the known two-planet configuration cannot reproduce the measured TTV amplitudes or super-period”
- Orbital phase: The position of an orbiting body within its orbital cycle, often represented as a fraction of one complete orbit. “we quantified the orbital-phase coverage”
- Orbital stability: The long-term persistence of planetary orbits without destructive close encounters, orbit crossing, or collisions. “2.8. Orbital Stability”
- Phase folding: The process of plotting periodic observations against orbital phase by mapping times separated by whole periods onto one cycle. “We phase-folded the light curve for the 26 candidate periods”
- Prayer-bead bootstrap: A resampling technique that estimates uncertainties by cyclically shifting residuals and refitting the model. “We therefore estimated per-visit timing uncertainties using a prayer-bead, or circular residual-permutation, bootstrap”
- Posterior distribution: The probability distribution of model parameters after combining prior information with observational data. “We estimated posterior distributions from the flattened chains after burn-in”
- Prior distribution: A probability distribution expressing assumptions about parameters before incorporating the current data. “We imposed planet mass priors to guide the transit timing fits”
- Radial velocity: The line-of-sight velocity of a star, whose periodic variation can reveal orbiting planets. “supported by radial-velocity observations.”
- Resonance index: An integer used to characterize the order or period-ratio structure of a mean-motion resonance. “low-order resonance indices j and k”
- Residual permutation: An uncertainty-estimation procedure that repeatedly rearranges fitted-model residuals and refits the data. “circular residual-permutation”
- Secular timescale: A long timescale over which gradual orbital changes, such as eccentricity or inclination variations, accumulate. “AMD measures whether eccentricity growth over secular timescales can lead to orbit crossing”
- Semi-amplitude: Half the peak-to-peak amplitude of an oscillating signal. “The results show a best-fit semi-amplitude of about 12.5 seconds”
- Super-period: The long period of a combined timing signal produced by near-resonant planetary orbital frequencies. “a super-period near 105.46 days.”
- Transit depth: The fractional decrease in observed stellar brightness when a planet passes in front of its star. “the corresponding transit depth,1350+320−400 ppm”
- Transit timing variation (TTV): A deviation of an observed planetary transit time from the time predicted by a constant-period ephemeris. “These transit timing variations (TTVs) provide a powerful means of probing the masses and orbital architectures of multi-planet systems”
- Tidal damping: The reduction of orbital eccentricity or rotational differences through dissipative tidal forces. “low-eccentricity orbits expected for short-period, tidally damped planets.”
- White-light curve: A broadband photometric time series obtained by integrating flux over a wavelength range. “We constructed each visit’s white-light curve”
- Weighted linear least squares: A fitting method that minimizes weighted squared residuals between observations and a linear model. “using weighted linear least squares to extract the best-fit amplitude and phase at each trial frequency.”