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This article is cited in 1 scientific paper (total in 1 paper)
Physics
Automated system for studying magneto-optical properties of thin films of metals in situ
I. A. Belous, V. A. Dotsenko Vladivostok State University of Economics and Service
Abstract:
The method of surface magneto-optical Kerr effect (MOEK) a relatively new method of studying the magnetism of ultrathin films. This relatively simple and inexpensive method was presented for the first time by Moog and Bader in 1985 [3].
The main objectives of [1] are the creation of experimental studies of automation systems: 1) improving the efficiency and quality of research on the basis of preparation and refinement of more complete models of the objects, phenomena and processes; 2) preparation of a qualitatively new scientific results, the achievement of which is impossible without the use of automation; 3) reducing the time and reducing the complexity of research and complex tests.
To conduct the study of magneto-optical properties of the in situ metal thin films, special installation has been developed, which allows measurement of magneto-optical characteristics of the films in the process of direct formation in ultrahigh vacuum.
Using the developed system, a sample was provisionally deposited in situ film $\mathrm{Fe}$, a thickness of about $\mathrm{100}$ Е, to the substrate $\mathrm{Si(111)}$ was investigated. Measurements were carried out at room temperature.
The developed automated system can significantly improve the accuracy, speed and reliability when measuring magneto-optical properties of thin films in an ultrahigh vacuum.
Keywords:
method of surface magneto-optical Kerr effect, thin films, vacuum unit, automation of measurement, measuring system.
Citation:
I. A. Belous, V. A. Dotsenko, “Automated system for studying magneto-optical properties of thin films of metals in situ”, Vestnik Volgogradskogo gosudarstvennogo universiteta. Seriya 1. Mathematica. Physica, 2016, no. 2(33), 63–69
Linking options:
https://www.mathnet.ru/eng/vvgum103 https://www.mathnet.ru/eng/vvgum/y2016/i2/p63
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