TL;DR
This study introduces an entropy-based model to analyze the size-ordering of multi-planet systems, revealing that Kepler systems retain memory of their formation processes despite dynamical evolution.
Contribution
The paper develops a novel entropy measure for planetary size-ordering and demonstrates its effectiveness in detecting formation memory in Kepler multi-planet systems.
Findings
Kepler systems show significantly lower entropy than random populations.
Entropy increases with system age proxy, indicating dynamical evolution effects.
Results are robust even when accounting for missing planets.
Abstract
One of the most directly observable features of a transiting multi-planet system is their size-ordering when ranked in orbital separation. Kepler has revealed a rich diversity of outcomes, from perfectly ordered systems, like Kepler-80, to ostensibly disordered systems, like Kepler-20. Under the hypothesis that systems are born via preferred formation pathways, one might reasonably expect non-random size-orderings reflecting these processes. However, subsequent dynamical evolution, often chaotic and turbulent in nature, may erode this information and so here we ask - do systems remember how they formed? To address this, we devise a model to define the entropy of a planetary system's size-ordering, by first comparing differences between neighboring planets and then extending to accommodate differences across the chain. We derive closed-form solutions for many of the micro state…
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