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Record W4412120770 · doi:10.5194/epsc-dps2025-465

The coupled thermal and orbital evolution of lava planets

2025· preprint· en· W4412120770 on OpenAlexaff
Mahesh Herath, Charles‐Édouard Boukaré, Nicolas B. Cowan, Mathieu Dumberry, Eve J. Lee

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldPhysics and Astronomy
TopicAstro and Planetary Science
Canadian institutionsUniversity of AlbertaMcGill University
Fundersnot available
KeywordsPlanetAstrobiologyLavaGeologyThermalPhysicsAstronomyPaleontologyMeteorologyVolcano

Abstract

fetched live from OpenAlex

One of the mostfascinating types of exoplanets we have discovered are lava planets. Lava planets are rocky planets that have orbital periods of one day or less. Due to their proximity to the host star and the resulting high stellar flux, they can maintain a permanent dayside magma ocean, with a likely solid nightside. It is however very unlikely they formed in their observed positions. They may have migrated into their current locations via tidal decay. The present state of the magma oceans in the two hemispheres of these planets can be affected by their migratory history. We investigate if a lava planet can have a molten nightside (hence a global magma ocean) resulting from tidal heating during planetary migration. We also aim to determine the process by which lava planets can migrate to their current locations. We created a coupled interior thermal model and orbit dynamics model that leads to a feedback loop between changes in the interior and the orbit. We investigate if tidal dissipation is sufficient to decay an orbit far enough for a rocky planet to become a lava planet. To this end, we included a dynamic tidal dissipation factor Q for the planet interior. The dissipation factor was affected by the changes in the structure of the lava planet interior, which in turn contributes to the changes in the orbit of the planet.We simulated planets between 1.0 and 1.8 Earth-radii and had their internal structures evolve as they migrate from 0.1 AU to 0.006 AU (14 day to 14 hour orbital periods). This range of values are consistent with known lava planets. We conducted a grid search between eccentricities of 0.01 to 0.9 and semi-major axes from 0.01 to 0.1. The goal of the search was to find the optimal conditions that can create a lava planet. We find that a fully molten nightside would at most last about 100 million years through tidal heating at high eccentricities (e > 0.5). Such high eccentricities would only be feasible if the planet began its tide induced migration at distances between 0.03 and 0.06 AU. A partially molten (mushy) nightside can be sustained for billions of years if a small, measurable eccentricity ( 0.0001 < e < 0.001) is maintained in the orbit. In fact, this base eccentricity was vital to allow our model planets to migrate into semi-major axes consistent with sub-one-day orbital periods. Without the base eccentricity, the orbits circularized too rapidly until they stabilized at locations far from their known orbits. To maintain a base eccentricity, the presence of another planet is necessary to give an energy boost to the orbit of the model planet. It was notable that the planets in our simulations exhibited 3 stages in their migration process. There was high eccentricity migration initially where the semi-major axis changed dramatically, followed by orbital stability for billions of years, and finally falling towards the star due to the sustained base eccentricity. The results show that a global magma ocean is unlikely through migration induced tidal heating, but a molten dayside and a mushy nightside is feasible. We also find that tidal decay alone may be unable to cause planetary migration into ultra short period orbits and would require the planet to be in a resonant orbit with an additional outer planet. The thermal-orbital model suggests lava planets in general are falling into their star. If they pass through their current observed orbits at a slow enough pace, they can be observed without showing high variation in orbital period. ​

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.045
Threshold uncertainty score0.090

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.005
GPT teacher head0.206
Teacher spread0.200 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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