Solving the inverse problem for determining the optical characteristics of materials

Мұқаба

Дәйексөз келтіру

Толық мәтін

Аннотация

The paper describes a methodology for determining the optical and physical properties of anisotropic thin film materials. This approach allows in the future designing multilayer thin-film coatings with specified properties. An inverse problem of determining the permittivity tensor and the thickness of a thin film deposited on a glass substrate is formulated. Preliminary information on the belonging of a thin-film coating to a certain class can significantly reduce the computing time and increase the accuracy of determining the permittivity tensor over the entire investigated range of wavelengths and film thickness at the point of reflection and transmission measurement Depending on the goals, it is possible to formulate and, therefore, solve various inverse problems: o determination of the permittivity tensor and specification of the thickness of a thick (up to 1 cm) substrate, often isotropic; o determination of the permittivity tensor of a thin isotropic or anisotropic film deposited on a substrate with known optical properties. The complexity of solving each of the problems is very different and each problem requires its own specific set of measured input data. The ultimate results of solving the inverse problem are verified by comparing the calculated transmission and reflection with those measured for arbitrary angles of incidence and reflection.

Авторлар туралы

Konstantin Lovetski

Peoples’ Friendship University of Russia (RUDN University)

Хат алмасуға жауапты Автор.
Email: lovetskiy-kp@rudn.ru

Candidate of Physical and Mathematical Sciences, assistant professor of Department of Applied Probability and Informatics

6, Miklukho-Maklaya St., Moscow, 117198, Russian Federation

Andrey Zhukov

ITL Consulting

Email: a.zhukov@itlc.ru

PhD, lead analyst of “ITL Consulting” company

16, Olkhovskaya St., bldg. 5, Moscow, 105066, Russian Federation

Michael Paukshto

Fibralign Corporation

Email: mpaukshto@fibralignbio.com

- DSc., Physics & Mechanical Engineering, co-founder and CTO of Fibralign Corporation

32930, Alvarado-Niles Rd., Suite 350, Union City, CA 94587, USA

Leonid Sevastianov

Peoples’ Friendship University of Russia (RUDN University)

Email: sevastianov-la@rudn.ru

Doctor of Physical and Mathematical Sciences, professor of Department of Applied Probability and Informatics

6, Miklukho-Maklaya St., Moscow, 117198, Russian Federation

Anastasiia Tiutiunnik

Peoples’ Friendship University of Russia (RUDN University)

Email: tyutyunnik-aa@rudn.ru

Candidate of Physical and Mathematical Sciences, lecturer of Department of Applied Probability and Informatics

6, Miklukho-Maklaya St., Moscow, 117198, Russian Federation

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