Searching for Additional Planets in TESS Multi-Planet Systems: Testing Empirical Models Based on Kepler Data
Multi-planet system architectures are frequently used to constrain possible formation and evolutionary pathways of observed exoplanets. Therefore, understanding the predictive and descriptive power of empirical models of these systems is critical to understanding their formation histories. Additiona...
Saved in:
Main Authors | , , , |
---|---|
Format | Journal Article |
Language | English |
Published |
05.09.2024
|
Subjects | |
Online Access | Get full text |
Cover
Loading…
Summary: | Multi-planet system architectures are frequently used to constrain possible
formation and evolutionary pathways of observed exoplanets. Therefore,
understanding the predictive and descriptive power of empirical models of these
systems is critical to understanding their formation histories. Additionally,
if empirical models can reproduce architectures over a range of scales, transit
and radial velocity observations can be more easily and effectively used to
inform future microlensing, astrometric, and direct imaging surveys. We analyze
52 TESS multi-planet systems previously studied using Dynamite (Dietrich & Apai
2020), who used TESS data alongside empirical models based on Kepler planets to
predict additional planets in each system. We analyze additional TESS data to
search for these predicted planets. We thereby evaluate the degree to which
these models can be used to predict planets in TESS multi-planet systems.
Specifically, we study whether a period ratio method or clustered period model
is more predictive. We find that the period ratio model predictions are most
consistent with the planets discovered since 2020, accounting for detection
sensitivity. However, neither model is highly predictive, highlighting the need
for additional data and nuanced models to describe the full population.
Improved eccentricity and dynamical stability prescriptions incorporated into
Dynamite provide a modest improvement in the prediction accuracy. We also find
that the current sample of 183 TESS multi-planet systems are are highly
dynamically packed, and appear truncated relative to detection biases. These
attributes are consistent with the Kepler sample, and suggest a highly
efficient formation process. |
---|---|
DOI: | 10.48550/arxiv.2409.03852 |