arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2004.08215cond-mat.mtrl-sci
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讨论了不同复杂度Pt薄膜样品硬X射线共振磁反射率的高级数据分析方法

Advanced data analysis procedure for hard x-ray resonant magnetic reflectivity discussed for Pt thin film samples of various complexity

Jan Krieft, Dominik Graulich, Anastasiia Moskaltsova, Laurence Bouchenoire, Sonia Francoual, Timo Kuschel

摘要:

X射线共振磁反射率(XRMR)是一种测定各种薄膜的光学、结构和磁性深度分布的有效方法。在这里,我们调查的样品不同的复杂性,所有测量的Pt L $_3$的吸收边,以确定最佳的实验XRMR曲线的分析程序,特别是对于非平凡的双和多层样品,包括不同的结合铂层。软件工具ReMagX用于拟合这些数据,并基于高度适应性的层堆叠来建模磁光深度分布,该层堆叠被修改为真实多层系统的更精确和物理上一致的表示。利用各种拟合算法、迭代优化方法和对不对称比特征以及$χ^2$(拟合优度)景观的详细分析来提高测量和模拟之间的一致性。我们提出了一个逐步的分析程序量身定制的Pt薄膜系统,以利用XRMR的优异的磁灵敏度和深度分辨率。

英文摘要:

X-ray resonant magnetic reflectivity (XRMR) is a powerful method to determine the optical, structural and magnetic depth profiles of a variety of thin films. Here, we investigate samples of different complexity all measured at the Pt L$_3$ absorption edge to determine the optimal procedure for the analysis of the experimental XRMR curves, especially for nontrivial bi- and multilayer samples that include differently bonded Pt from layer to layer. The software tool ReMagX is used to fit these data and model the magnetooptic depth profiles based on a highly adaptable layer stack which is modified to be a more precise and physically consistent representation of the real multilayer system. Various fitting algorithms, iterative optimization approaches and a detailed analysis of the asymmetry ratio features as well as $χ^2$ (goodness of fit) landscapes are utilized to improve the agreement between measurements and simulations. We present a step-by-step analysis procedure tailored to the Pt thin film systems to take advantage of the excellent magnetic sensitivity and depth resolution of XRMR.

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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