利用参考层算法恢复非共线磁有序多层系统的复反射系数

IF 0.3 Q4 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Yu. A. Salamatov, E. S. Nikova, D. I. Devyaterikov, Evgeny A. Kravtsov
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引用次数: 0

摘要

本文分析了极化中子反射计实验曲线处理的两种数学算法,其中一种算法使复反射系数的确定成为可能。证实了Fe/Cr型超晶格具有不规则的Fe层磁矩非共线排列。实验处理采用直接细化结构参数和利用Gd参考层计算反射信号的模态和相位的方法。对不同方法得到的结果进行了比较。为了明确结构和磁性特征,在这两种情况下都应用了Levenberg-Marquardt算法。所得的磁结构数据与有限维层状反铁磁体在弱场中磁化的理论模型一致。对参考层法的改进可以看作是偏振中子反射测量中相位问题的解决方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Recovering complex reflection coefficient using the reference layer algorithm for multilayer systems with non-collinear magnetic ordering
This work analyzes two mathematical algorithms for processing experimental curves in polarized neutron reflectometry, one of which makes it possible to determine the complex reflection coefficient. The approbation was carried out for a Fe/Cr type superlattice with an irregular non-collinear ordering of the magnetic moments of the Fe layers. The processing of the experiment was carried out both by direct refinement of the structure parameters and by the method of calculating the module and phase of the reflectometry signal using the Gd reference layer. The results obtained with different methods are compared with each other. To clarify the structural and magnetic characteristics, the Levenberg-Marquardt algorithm was applied in both cases. The obtained data on the magnetic structure is in agreement with the theoretical model of magnetization of a layered antiferromagnet of finite dimensions in a weak field. The presented modification of the reference layer method can be considered as the phase problem solution in polarized neutron reflectometry.
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来源期刊
CiteScore
1.30
自引率
50.00%
发文量
10
期刊介绍: The journal is the prime outlet for the findings of scientists from the Faculty of applied mathematics and control processes of St. Petersburg State University. It publishes original contributions in all areas of applied mathematics, computer science and control. Vestnik St. Petersburg University: Applied Mathematics. Computer Science. Control Processes features articles that cover the major areas of applied mathematics, computer science and control.
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