2018
DOI: 10.1364/ao.57.003106
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Performance analysis of waveguide-mode resonant optical filters with stochastic design parameters

Abstract: The performance of optical filters with resonant waveguide gratings is investigated numerically in a stochastic context, assuming random fluctuations of various design variables. Specifically, we derive stochastic models based on polynomial chaos expansions, whose involved coefficients are obtained by computing spectral projections via sparse-grid quadrature. The latter exploits purely deterministic results from a rigorous coupled-wave analysis solver and requires less simulation data than standard Monte Carlo… Show more

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Cited by 5 publications
(3 citation statements)
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“…In the near future, Scarf will be used for more general representations of the plasma edge fluctuations, and in conjunction with the polynomial chaos expansion (PCE) method (see Papadopoulos et al. 2018), will rigorously analyse the turbulent region–incidence region scattering for random variation of the material and geometric parameters, for periodic or non-periodic structures, and calculate the statistical moments of the Poynting vector.…”
Section: Discussionmentioning
confidence: 99%
“…In the near future, Scarf will be used for more general representations of the plasma edge fluctuations, and in conjunction with the polynomial chaos expansion (PCE) method (see Papadopoulos et al. 2018), will rigorously analyse the turbulent region–incidence region scattering for random variation of the material and geometric parameters, for periodic or non-periodic structures, and calculate the statistical moments of the Poynting vector.…”
Section: Discussionmentioning
confidence: 99%
“…Cases of ( a ) ordinary and ( b ) delayed KP sequences are shown (Papadopoulos et al. 2018).
Figure 6.Comparison of various grids (full grids, normal sparse grids and sparse grids with delayed 1-D sequences) for different accuracy levels (Papadopoulos et al.
…”
Section: Pce Methodsmentioning
confidence: 99%
“…
Figure 6.Comparison of various grids (full grids, normal sparse grids and sparse grids with delayed 1-D sequences) for different accuracy levels (Papadopoulos et al. 2018).
…”
Section: Pce Methodsmentioning
confidence: 99%