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High-accuracy determination of Paul-trap stability parameters for electric-quadrupole-shift prediction

    Research output: Contribution to journalArticleScientificpeer-review

    Abstract

    The motion of an ion in a radiofrequency (rf) Paul trap is described by the Mathieu equation and the associated stability parameters that are proportional to the rf and dc electric field gradients. Here, a higher-order, iterative method to accurately solve the stability parameters from measured secular frequencies is presented. It is then used to characterize an endcap trap by showing that the trap’s radial asymmetry is dominated by the dc field gradients and by measuring the relation between the applied voltages and the gradients. The results are shown to be in good agreement with an electrostatic finite-element-method simulation of the trap. Furthermore, a method to determine the direction of the radial trap axes using a “tickler” voltage is presented, and the temperature dependence of the rf voltage is discussed. As an application for optical ion clocks, the method is used to predict and minimize the electric quadrupole shift (EQS) using the applied dc voltages. Finally, a lower limit of 1070 for the cancellation factor of the Zeeman-averaging EQS cancellation method is determined in an interleaved low-/high-EQS clock measurement. This reduces the EQS uncertainty of our 88Sr+ optical clock to ≲1×10−19 in fractional frequency units.
    Original languageEnglish
    Article number124401
    JournalJournal of Applied Physics
    Volume132
    Issue number12
    DOIs
    Publication statusPublished - 27 Sept 2022
    MoE publication typeA1 Journal article-refereed

    Funding

    This work was supported by the projects 18SIB05 ROCIT and 20FUN01 TSCAC, which have received funding from the EMPIR program co-financed by the Participating States and from the European Union’s Horizon 2020 research and innovation program. This work was also supported by the Academy of Finland (REASON, decision 339821) and is part of the Academy of Finland Flagship Programme “Photonics Research and Innovation” (PREIN, decision 320168).

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 9 - Industry, Innovation, and Infrastructure
      SDG 9 Industry, Innovation, and Infrastructure

    Keywords

    • helical resonator
    • electric fields
    • electrostatics
    • frequency standards
    • clocks
    • ion-trap
    • finite-element analysis
    • laser cooling

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