This study proposes a new approach to periodic multilayer mirrors (PMMs) characterizations based on measured X-ray reflectivity (XRR) data. Here, XRR data are used to reconstruct the internal structure of PMMs using grazing incidence X-ray reflectivity (GIXR). A mathematical model of electromagnetic wave reflection by PMMs is employed to implement forward prediction, which will then be used iteratively in a global optimization framework in order to reconstruct the PMM unknown structure parameters. A typical simulation of PMM often includes tens to thousands of unknown structure parameters, rendering standard curve fitting methods cumbersome and impractical. To make the PMM characterization method computationally feasible, this study combines implementation of the Levy flight particle swarm optimization (LFPSO) algorithm with a parallelized version of the electromagnetic solver X-Ray Calc in order to simplify the model parameter reconstruction process. Levy flight, a random walk wherein the Levy distribution is used to determine step size, is a more efficient search strategy for global optimization because of the long jumps made by the particles.  It is demonstrated that a PMM model with up to thousands of structure parameters can be reconstructed within several seconds on a regular workstation. The algorithm is tested with both measured and theoretical XRR data using in-house fabricated PMMs with known structures. Excellent agreement with the actual structures is observed, which is attained in short computation time. The new approach avoids manual curve fitting and simplified GIXR analysis and is observed to scale linearly with the size of the PMM structure, making it attractive for X-ray optics systems involving large-and-complex reflecting mirrors.

Xuyang Bai

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The fusion of electromagnetic (EM) waves and information theory in wireless and waveguide communication technology has enjoyed a remarkable revival during the last few years. In particular, unlike traditional transceiver systems, the recently proposed information metasurface system directly links the controllable binary 2-D array sources with reradiated waves generated through electromagnetic scattering mechanisms, making the combination of electromagnetic and information theories highly desirable and natural. In this paper, EM in-formation characteristics of a direct digital modulation (DDM) system enabled by programmable information metasurface are analyzed. The information metasurface is used as a modulator of the illuminating field, while the scattered far-field complex amplitudes are measured, effectively treated as the received quantities. The posterior probability for a specific source coding pattern, conditioned over a given measured scattering fields, is obtained through Bayesian analysis technique, from which the average mutual information (AMI) is obtained in order to estimate the metasurface observation capability along any particular direction. The averaged receiver mutual information (ARMI) is then introduced to characterize generated field correlation structures along different observation directions. Based on ARMI, the joint observation capability is also analyzed. Furthermore, the channel capacity of such a system is derived, and the influencing factors are analyzed from four different perspectives, including the observation direction, the size of the information metasurface, potential joint observations in multiple directions, and the noise level. The proposed method, together with the various related performance measure metrics introduced therein, are expected to provide the research community with easy-to- implement quick tools for analyzing and designing current and future information metasurface-based communication systems, which can also be extended to other aspects in the now growing field of the electromagnetic theory of information.