Markov chain Monte Carlo methods for statistical analysis of RF photonic devices

Optics Express
Molly Piels, Darko Zibar

Abstract

The microwave reflection coefficient is commonly used to characterize the impedance of high-speed optoelectronic devices. Error and uncertainty in equivalent circuit parameters measured using this data are systematically evaluated. The commonly used nonlinear least-squares method for estimating uncertainty is shown to give unsatisfactory and incorrect results due to the nonlinear relationship between the circuit parameters and the measured data. Markov chain Monte Carlo methods are shown to provide superior results, both for individual devices and for assessing within-die variation.

References

Jan 12, 2008·Optics Letters·X S Yao, L Maleki
Jul 21, 2015·Optics Express·Yisu YangMichael Hochberg
Sep 15, 2015·Optics Express·Chia-Ming ChangYoung-Kai Chen

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