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Record W2118661215 · doi:10.1109/eftf.2014.7331531

Measurement of the static scalar polarizability of the 88Sr+ clock transition

2014· article· en· W2118661215 on OpenAlexaff
P. Dubé, A.A. Madej, Maria Tibbo, J. E. Bernard

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAdvanced Frequency and Time Standards
Canadian institutionsUniversity of OttawaNatural Sciences and Engineering Research Council of Canada
Fundersnot available
KeywordsPolarizabilityScalar (mathematics)PhysicsQuantum mechanicsMathematics

Abstract

fetched live from OpenAlex

We have reported recently a high-accuracy measurement of the differential static scalar polarizability, Δα0, of the clock transition of88Sr+. In this paper, we review the method used to make this measurement and the results obtained. Δα0is an essential parameter for the control of the systematic shifts in ion optical frequency standards as it determines the blackbody radiation shift coefficient and the scalar Stark shift caused by micromotion. The new experimental value of Δα0reduces the uncertainty of the blackbody radiation shift coefficient by a factor of 24, from 2 × 10-17to 8.3 × 10-19. In addition, Δα0determines the trap rf frequency for optimum cancellation of the positive Stark shift with the negative time-dilation shift. A suppression factor of more than 200 is obtained with the new value of Δα0, resulting in a net micromotion shift fractional uncertainty at the 10-19level.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.006
GPT teacher head0.210
Teacher spread0.204 · 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

Citations2
Published2014
Admission routes1
Has abstractyes

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