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Record W3213811215 · doi:10.1029/2021je006966

Viscous Dissipation in the Fluid Core of the Moon

2021· article· en· W3213811215 on OpenAlexafffund
Jiarui Zhang, Mathieu Dumberry

Bibliographic record

VenueJournal of Geophysical Research Planets · 2021
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAstro and Planetary Science
Canadian institutionsUniversity of Alberta
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsInner coreDissipationOmegaPhysicsMantle (geology)Outer coreRADIUSCosmic microwave backgroundPlanetCore–mantle boundaryPhase boundaryMechanicsAstrophysicsGeophysicsPhase (matter)AnisotropyThermodynamicsOpticsQuantum mechanics

Abstract

fetched live from OpenAlex

Abstract The spin axes of the mantle, fluid core, and solid inner core of the Moon precess at frequency Ω p = 2 π /18.6 years −1 though with different orientations, leading to viscous friction at the core‐mantle boundary (CMB) and inner core boundary (ICB). Here, we use a rotational model of the Moon and consider a range of inner core and outer core radii to investigate the relative importance of viscous dissipation at the CMB and ICB, and to show how this dissipation is connected to the phase lead angle ( ϕ p ) of the mantle ahead of its Cassini state. We show that when the inner core radius is km and the free inner core nutation frequency Ω ficn approaches Ω p , viscous dissipation at the ICB can be comparable to that at the CMB, and in the most extreme cases exceed it by as much as a factor of 10. If so, the viscous dissipation in the lunar core projected back in time depends on how Ω ficn has evolved relative to Ω p . We further show that constraints on the CMB and ICB radii of the lunar core can in principle be extracted by matching the observed phase lead of ϕ p = 0.27 arcsec; this requires an improved estimate of tidal dissipation and an accurate model of the turbulent viscous torque. Finally, when our rotational model is constrained to match ϕ p = 0.27 arcsec, our results suggest that the viscous dissipation at the ICB is likely insufficient to have ever been above the threshold to power a thermally driven dynamo.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.265
Threshold uncertainty score0.245

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.054
GPT teacher head0.347
Teacher spread0.293 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations4
Published2021
Admission routes2
Has abstractyes

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