2008
DOI: 10.1007/s11082-009-9275-4
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An improved perfectly matched layer for the eigenmode expansion technique

Abstract: When performing optical simulations for rotationally symmetric geometries using the eigenmode expansion technique, it is necessary to place the geometry under investigation inside a cylinder with perfectly conducting walls. The parasitic reflections at the boundary of the computational domain can be suppressed by introducing a perfectly matched layer (PML) using e.g. complex coordinate stretching of the cylinder radius. However, the traditional PML suffers from an artificial field divergence limiting its usefu… Show more

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Cited by 11 publications
(11 citation statements)
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“…We vary the number of layer pairs N top in the top distributed Bragg reflector while keeping a fixed number N bottom = 28 in the bottom mirror. The computations are performed using the eigenmode expansion technique [88] with improved perfectly matched layers [89].…”
Section: Optimizing Indistinguishability Through Cavity Designmentioning
confidence: 99%
“…We vary the number of layer pairs N top in the top distributed Bragg reflector while keeping a fixed number N bottom = 28 in the bottom mirror. The computations are performed using the eigenmode expansion technique [88] with improved perfectly matched layers [89].…”
Section: Optimizing Indistinguishability Through Cavity Designmentioning
confidence: 99%
“…VEIM calculations with a larger number of basis modes yield converged results, just as the established BEP schemes. Contrary to the BEP method with PMLs, however, our solutions are continuous everywhere; no discontinuities appear on the interfaces between slices, which is a problem for BEP especially when using a low number of modes, and the peaks near the PML boundaries that can appear in standard BEP [29] have not been observed in the current results.…”
Section: Discussioncontrasting
confidence: 55%
“…Here the notation f (x, y Si ) means that the function is evaluated within section S i and is only dependent on the x coordinate within that section. With this separation, it is possible to factorize ε using the correct factorization rules provided that the discretized basis set features separable k x and k y dependency as in (11). If this is the case, we can index the k x and k y contributions to the basis mode k vector as (k m x , k l y ) using separate indices m and l. It is then possible to apply the inverse rule to the product ε x E x factorized along the x direction by first preparing the Fourier transform along the x axis of the inverse permittivity as…”
Section: Inverse Factorization Approachmentioning
confidence: 99%