Fitting reflectivity data from liquid crystal cells using genetic algorithms

D. A. Coley; J. R. Sambles

doi:10.1080/026782997209360

Fitting reflectivity data from liquid crystal cells using genetic algorithms

D. A. Coley, J. R. Sambles

University of Exeter

Research output: Contribution to journal › Article › peer-review

12 Citations (SciVal)

Abstract

The half-leaky guided mode technique for quantifying thin optical layers is here combined with a data fitting routine based on a genetic algorithm to provide an immensely powerful procedure for detailing the director profile in liquid crystal cells. This approach not only provides a full description of the optical parameters of the cell, but also gives quantitative uncertainties in these parameters. It is tested here, first by fitting to theoretically produced data and then applied to real experimental data.

Original language	English
Pages (from-to)	301-307
Number of pages	7
Journal	Liquid Crystals
Volume	22
Issue number	3
DOIs	https://doi.org/10.1080/026782997209360
Publication status	Published - 31 Dec 1997

Funding

The authors acknowledge the support of EPSRC and Sharp Laboratories of Europe through a CASE award.

Funders	Funder number
Sharp Laboratories of Europe Ltd.
Center for Advanced Systems and Engineering, Syracuse University
Engineering and Physical Sciences Research Council

ASJC Scopus subject areas

General Chemistry
General Materials Science
Condensed Matter Physics

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10.1080/026782997209360

Cite this

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abstract = "The half-leaky guided mode technique for quantifying thin optical layers is here combined with a data fitting routine based on a genetic algorithm to provide an immensely powerful procedure for detailing the director profile in liquid crystal cells. This approach not only provides a full description of the optical parameters of the cell, but also gives quantitative uncertainties in these parameters. It is tested here, first by fitting to theoretically produced data and then applied to real experimental data.",

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AB - The half-leaky guided mode technique for quantifying thin optical layers is here combined with a data fitting routine based on a genetic algorithm to provide an immensely powerful procedure for detailing the director profile in liquid crystal cells. This approach not only provides a full description of the optical parameters of the cell, but also gives quantitative uncertainties in these parameters. It is tested here, first by fitting to theoretically produced data and then applied to real experimental data.

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Fitting reflectivity data from liquid crystal cells using genetic algorithms

Abstract

Funding

ASJC Scopus subject areas

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