MétaCan
Menu
Back to cohort
Record W2088077281 · doi:10.1103/physreva.64.062713

Analysis of physical observables and approximate distribution functions for drifting linear ions

2001· article· en· W2088077281 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenuePhysical Review A · 2001
Typearticle
Languageen
FieldChemistry
TopicElectrostatics and Colloid Interactions
Canadian institutionsUniversity of British Columbia
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsPhysicsObservableBasis (linear algebra)Distribution functionPerpendicularDistribution (mathematics)Basis functionConvergence (economics)Boltzmann equationStatistical physicsAngular momentumIonFunction (biology)Momentum (technical analysis)Order (exchange)Boltzmann constantClassical mechanicsQuantum mechanicsMathematical analysisGeometry

Abstract

fetched live from OpenAlex

The accuracy of two recently proposed approximate distribution functions for drifting linear ions [R. Baranowski and M. Thachuk, Phys. Rev. A 63, 032503 (2001) is tested at a number of levels of microscopic detail. Through formal mathematical manipulations, low-order expressions are derived for a number of physical observables, including the angular momentum dependence of the drift velocity, and parallel and perpendicular translational temperatures, as well as the dependence of the quadrupolar alignment parameter on the parallel and perpendicular velocity components. Finally, comparisons are made between the approximate forms and basis set expansions of the distribution function utilized in formal solutions of the Boltzmann equation, with the goal of suggesting general features of these basis sets that might help improve convergence.

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.

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)0.000
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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.884
Threshold uncertainty score0.383

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.023
GPT teacher head0.329
Teacher spread0.306 · 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