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Record W3170648056 · doi:10.1088/1361-6595/ac0a4a

2D radial-azimuthal particle-in-cell benchmark for <b>E</b> <b>×</b> <b>B</b> discharges

2021· article· en· W3170648056 on OpenAlexafffund
Willca Villafana, Federico Petronio, A. C. Denig, M. J. Jiménez, Denis Eremin, Laurent Garrigues, F. Taccogna, Alejandro Álvarez Laguna, Jean-Pierre Bœuf, Anne Bourdon, Pascal Chabert, Thomas Charoy, Bénédicte Cuenot, Kentaro Hara, François Péchereau, A. I. Smolyakov, Dmytro Sydorenko, Antoine Tavant, Olivier Vermorel

Bibliographic record

VenuePlasma Sources Science and Technology · 2021
Typearticle
Languageen
FieldEngineering
TopicPlasma Diagnostics and Applications
Canadian institutionsUniversity of AlbertaUniversity of Saskatchewan
FundersAir Force Research LaboratoryU.S. Air ForceSafranNatural Sciences and Engineering Research Council of CanadaGrand Équipement National De Calcul IntensifU.S. Department of EnergySafran Aircraft EnginesAssociation Nationale de la Recherche et de la TechnologieFusion Energy SciencesMinistero dell’Istruzione, dell’Università e della RicercaCanadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of CanadaOffice of ScienceAgence Nationale de la RechercheCompute CanadaDeutsche Forschungsgemeinschaft
KeywordsParticle-in-cellBenchmark (surveying)InstabilityPlasmaAzimuthConvergence (economics)Stability (learning theory)Code (set theory)Interval (graph theory)CyclotronParticle (ecology)Computational physicsPhysicsAlgorithmMathematicsStatistical physicsComputer scienceMechanicsNuclear physicsOpticsCombinatoricsSet (abstract data type)Geology

Abstract

fetched live from OpenAlex

Abstract In this paper we propose a representative simulation test-case of E × B discharges accounting for plasma wall interactions with the presence of both the electron cyclotron drift instability and the modified-two-stream-instability. Seven independently developed particle-in-cell (PIC) codes have simulated this benchmark case, with the same specified conditions. The characteristics of the different codes and computing times are given. Results show that both instabilities were captured in a similar fashion and good agreement between the different PIC codes is reported as main plasma parameters were closely related within a 5% interval. The number of macroparticles per cell was also varied and statistical convergence was reached. Detailed outputs are given in the supplementary data, to be used by other similar groups in the perspective of code verification.

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 score0.007
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.008
GPT teacher head0.211
Teacher spread0.203 · 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

Citations88
Published2021
Admission routes2
Has abstractyes

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