English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Precise measurement of frequency sensitivity coefficients (FSCs) of somephysical effects contributing to uncertainty is an important work in type-Buncertainty (u_B) evaluation of atomic frequency standards. We proposed amethod based on statistical correlation of noise to measure FSCs and evaluateu_B for atomic frequency standards, and giving a full statistical expression ofFSC as K_I=COV_A(y,x_I)/(sigma(x_I))^2 , where y and x_I are fractionalfrequency of atomic frequency standards and noise independent variable of Ithphysical effects, respectively. The confidence value and the effect of timeinterval have also been discussed. Except for theoretical derivation, themethod also has been validated by numerical simulation and demonstrationexperiments. Comparing with standard method, the statistical correlation ofnoise method combines u_B evaluation with type-A uncertainty (u_A), measuresFSCs not by special experiments, but from the monitoring data when the deviceis running. It not only gives a criterion to test the standard method, but alsocan evaluate many effects at the same time when the device is operating. Themethod can be extended to other precision measurement fields and is availableto comprehend the physical effectiveness of the least square method.

Measurement of frequency sensitivity coefficient and evaluation of  type-B uncertainty for atomic frequency standard based on statistical  correlation of noise