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Record W2086627134 · doi:10.1139/p02-110

The rotating-saddle trap: a mechanical analogy to RF-electric-quadrupole ion trapping?

2002· article· en· W2086627134 on OpenAlexaffvenueabout
R. I. Thompson, T. J. Harmon, M. Ball

Bibliographic record

VenueCanadian Journal of Physics · 2002
Typearticle
Languageen
FieldPhysics and Astronomy
TopicMechanical and Optical Resonators
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsTrap (plumbing)PhysicsIon trapQuadrupole ion trapSaddleQuadrupoleIonAtomic physicsTrappingSaddle pointMechanicsQuantum mechanicsMechanical engineering

Abstract

fetched live from OpenAlex

The rotating-saddle potential ball-bearing trap has long been used as a mechanical analogue to explain the operating principles of the Paul-type RF-electric-quadrupole ion trap. This paper outlines the shortcomings of this analogy, as well as explaining how and why this system remains an excellent tool for explaining ion-trap operation. The basic theory of the operating principles of the rotating-saddle trap is provided, which, unlike the Paul Trap is analytically solvable in the friction-free regime. In addition, some extensions to this theory are presented to examine such effects as friction. These results are compared with the equivalent results for Paul-Trap theory, as well as to experimental results measured with a rotating-saddle trap constructed at the University of Calgary. The technical details of this trap, an excellent tool for either lecture demonstrations or teaching laboratory experiments, are also presented, as well as some comments on building such a trap. PACS Nos.: 45.50-j, 01.50Pa, 32.80Pj

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)0.001
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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.007
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.001

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 head0.017
GPT teacher head0.224
Teacher spread0.207 · 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 designBench or experimental
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

Citations38
Published2002
Admission routes3
Has abstractyes

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