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Record W2032651825 · doi:10.1086/426897

Intermittency and Phase Persistence in a Babcock-Leighton Model of the Solar Cycle

2004· article· en· W2032651825 on OpenAlexaff
Paul Charbonneau, Guillaume Blais-Laurier, Cédric St-Jean

Bibliographic record

VenueThe Astrophysical Journal · 2004
Typearticle
Languageen
FieldPhysics and Astronomy
TopicSolar and Space Plasma Dynamics
Canadian institutionsUniversité de MontréalUniversité du Québec à Montréal
Fundersnot available
KeywordsIntermittencyPhysicsDynamoAmplitudeSunspotAstrophysicsSolar cycleSolar dynamoConvection zoneSolar cycle 24Solar minimumAtmospheric sciencesSolar windMagnetic fieldMeteorologyDynamo theoryStarsTurbulenceOptics

Abstract

fetched live from OpenAlex

We present and discuss a numerical simulation of the solar cycle based on the Babcock-Leighton mechanism of poloidal field regeneration by the surface decay of sunspots. The simulation includes low-amplitude stochastic noise and exhibits intermittency, i.e., quiescent episodes of strongly reduced amplitude irregularly interspersed between epochs of "normal" cyclic behavior. We show that the phase of the cycle can persist across these quiescent episodes, a feature normally not expected from intermittency. We ascribe this behavior to the regulatory influence of meridional circulation in the solar convective envelope, which is known to be the primary determinant of cycle period in this class of dynamo models. We also discuss similarities and differences between these results and the behavior of the sunspot cycle during the Maunder minimum of solar activity.

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)0.002
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 score0.025
Threshold uncertainty score0.051

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.010
GPT teacher head0.228
Teacher spread0.218 · 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

Citations67
Published2004
Admission routes1
Has abstractyes

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