Planetary system evolution: Planet-disk interactions and planet ejection from binary systems
Bibliographic record
Abstract
Throughout the evolution of a planetary system, planets, especially those newly formed, interact by several means with a variety of the system's constituents. In particular, the influence of the most massive planets is expected to govern much of the long-term evolution of the system. In early stages of this evolution, the gas disk that provided the material from which the planets formed also acts to couple the planets to its own dynamics. In part I of this thesis, I describe a new hydrodynamic code that I have developed, tuned to study these interactions. Using this code, I explore the formation of hydrodynamic structures within the disk, such as jets and eddies, that arise from the influence of the planets on the overall flow. I show that while the formation of vortices is damped in disks with a large enough viscosity, jet formation is more robust in this sense and jet structures form even in viscous flows. I further propose that these jets may affect the amount of material transport that occurs in the flow in a manner similar to that found in the Earth's atmosphere and in the weather layers of the Jovian planets. In order to qualify this claim, I perform preliminary numerical experiments that aim to establish this relationship. Even after the removal of the gas disk, the gravitational influence of massive planets---or stellar companions in the case of multiple systems---severely limits the range of stable orbits of the system's lesser planets. In part II of this thesis, I examine the physical mechanisms responsible for planet ejection from unstable orbits previously observed in numerical experiments. I determine the instability is due to overlap of subresonances lying within mean-motion resonances.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".