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arXiv 0810.2756physics.atom-ph
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固体钆铁石榴石陶瓷中电子电偶极矩的新探索

The prospects for a new search for the electron electric dipole moment in solid Gadolinium iron garnet ceramics

A. O. Sushkov, S. Eckel, S. K. Lamoreaux

摘要:

我们解决了一些问题,固态电子电偶极矩(EDM)的实验,专注于钆铁石榴石(简称GdIG,化学式Gd $_3$ Fe $_5$ O $_{12}$)作为可能的样品材料。GdIG保持其高磁化率低至4.2 K,这增强了置于电场中的样品的EDM诱导磁化。我们估计晶格极化率产生的EDM增强因子约为20。我们还计算了各种样品的几何形状和磁导率的退磁场的效果。固有的GdIG磁化噪声的测量,和波动耗散定理是用来比较我们的数据与GdIG磁导率的虚部在4.2 K的测量,显示出良好的协议以上的频率的几个赫兹。我们还观察到退磁场如何抑制噪声引起的磁通量,证实了我们的计算。基于固体GdIG样品的EDM搜索的统计灵敏度估计与目前的实验极限处于同一水平。考虑到所涉及的完全不同的方法和系统,这种测量是有价值的。在这样的实验中最重要的系统是磁滞和磁电效应。我们的分析表明,在统计敏感性水平上控制这些是可能的。

英文摘要:

We address a number of issues regarding solid state electron electric dipole moment (EDM) experiments, focusing on gadolinium iron garnet (abbreviated GdIG, chemical formula Gd$_3$Fe$_5$O$_{12}$) as a possible sample material. GdIG maintains its high magnetic susceptibility down to 4.2 K, which enhances the EDM-induced magnetization of a sample placed in an electric field. We estimate that lattice polarizability gives rise to an EDM enhancement factor of approximately 20. We also calculate the effect of the demagnetizing field for various sample geometries and permeabilities. Measurements of intrinsic GdIG magnetization noise are presented, and the fluctuation-dissipation theorem is used to compare our data with the measurements of the imaginary part of GdIG permeability at 4.2 K, showing good agreement above frequencies of a few hertz. We also observe how the demagnetizing field suppresses the noise-induced magnetic flux, confirming our calculations. The statistical sensitivity of an EDM search based on a solid GdIG sample is estimated to be on the same level as the present experimental limit. Such a measurement would be valuable, given the completely different methods and systematics involved. The most significant systematics in such an experiment are the magnetic hysteresis and the magneto-electric effect. Our analysis shows that it should be possible to control these at the level of statistical sensitivity.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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