Uncertainty quantification and stochastic modelling of photonic device from experimental data through polynomial chaos expansion

Abi Waqas; Daniele Melati; Zarlish Mushtaq; Andrea Melloni

doi:10.1117/12.2290540

23 February 2018 Uncertainty quantification and stochastic modelling of photonic device from experimental data through polynomial chaos expansion

Abi Waqas, Daniele Melati, Zarlish Mushtaq, Andrea Melloni

Author Affiliations +

Proceedings Volume 10535, Integrated Optics: Devices, Materials, and Technologies XXII; 105351A (2018) https://doi.org/10.1117/12.2290540
Event: SPIE OPTO, 2018, San Francisco, California, United States

Abstract

Unavoidable statistical variations in fabrication processes have a strong effect on the functionality of fabricated photonic circuits and on fabrication yield. It is hence essential to measure and consider these uncertainties during the design in order to predict the statistical behavior of the realized circuits. Also, during the mass production of photonic integrated circuits, the experimental evaluation of circuits’ desired quantity of interest in the presence of fabrication error can be crucial. In this paper we proposed the use of generalized polynomial chaos method to estimate the statistical properties of a circuit from a reduced number of experimental data whilst achieving good accuracy comparable to those obtained by Monte Carlo.

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Abi Waqas, Daniele Melati, Zarlish Mushtaq, and Andrea Melloni "Uncertainty quantification and stochastic modelling of photonic device from experimental data through polynomial chaos expansion", Proc. SPIE 10535, Integrated Optics: Devices, Materials, and Technologies XXII, 105351A (23 February 2018); https://doi.org/10.1117/12.2290540

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