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Record W2319993681 · doi:10.1103/physreva.87.023806

Evaluation of systematic shifts of the<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:msup><mml:mrow/><mml:mn>88</mml:mn></mml:msup></mml:math>Sr<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:msup><mml:mrow/><mml:mo>+</mml:mo></mml:msup></mml:math>single-ion optical frequency standard at the<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:msup><mml:mn>10</mml:mn><mml:mrow><mml:mo>−</mml:mo><mml:mn>17</mml:mn></mml:mrow></mml:msup></mml:math>level

2013· article· lv· W2319993681 on OpenAlexaffabout
P. Dubé, A.A. Madej, Zichao Zhou, J. E. Bernard

Bibliographic record

VenuePhysical Review A · 2013
Typearticle
Languagelv
FieldPhysics and Astronomy
TopicAdvanced Frequency and Time Standards
Canadian institutionsNational Research Council Canada
Fundersnot available
KeywordsPhysicsPolarizabilityBlack-body radiationIon trapZeeman effectScalar (mathematics)Atomic physicsOrder (exchange)IonQuantum mechanicsMagnetic fieldRadiationGeometry

Abstract

fetched live from OpenAlex

An ion trap of the end-cap design was built recently at the National Research Council of Canada for improved control of the ${}^{88}$Sr${}^{+}$ single-ion optical frequency standard systematic shifts. The uncertainty on the micromotion-induced shifts is smaller by more than four orders of magnitude when compared to our previous trap system and reaches a fractional frequency uncertainty of $1\ifmmode\times\else\texttimes\fi{}{10}^{\ensuremath{-}18}$. To obtain this low uncertainty level, the micromotion is minimized with trim electrodes and the trap is operated at a special frequency at which there is anticorrelation between the second-order Doppler and Stark shifts. This choice of operating frequency, determined by the differential scalar polarizability of the clock transition, yields a suppression by a factor of $\ensuremath{\approx}$28 in the combined micromotion shifts. Like many optical frequency standards, the dominant source of uncertainty in the new trap is the blackbody radiation shift. Its uncertainty has been reduced by an order of magnitude with a recent theoretical evaluation of the differential scalar polarizability of the clock transition. The fractional blackbody shift uncertainty, estimated using a model of the blackbody field at the ion, is $2.2\ifmmode\times\else\texttimes\fi{}{10}^{\ensuremath{-}17}$. The otherwise dominant electric quadrupole shift is reduced to below the $3\ifmmode\times\else\texttimes\fi{}{10}^{\ensuremath{-}19}$ level with a cancellation method based on the average frequency of several pairs of Zeeman components. This method also cancels the tensor Stark shift and simplifies the description of the frequency shifts that are quantization-axis dependent. This paper provides a detailed description of the ${}^{88}$Sr${}^{+}$ optical frequency standard uncertainty evaluation and the methods used to make the standard robust against changes in the trap environment. The total fractional frequency uncertainty of the ${}^{88}$Sr${}^{+}$ ion for our current system is estimated at $2.3\ifmmode\times\else\texttimes\fi{}{10}^{\ensuremath{-}17}$. We also discuss the uncertainty evaluation of a recently reported measurement of the ${}^{88}$Sr${}^{+}$ $S$-$D$ clock transition made over a 2-month period by comparison with a maser referenced to the SI second. The frequency measured is $444\phantom{\rule{0.16em}{0ex}}779\phantom{\rule{0.16em}{0ex}}044\phantom{\rule{0.16em}{0ex}}095\phantom{\rule{0.16em}{0ex}}485.5(9)$ Hz, with an uncertainty limited by the evaluation of the maser frequency.

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)0.002
metaresearch head score (Gemma)0.005
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 score0.008
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0080.001

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 head0.027
GPT teacher head0.273
Teacher spread0.245 · 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

Citations127
Published2013
Admission routes2
Has abstractyes

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