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    Multiple-order differential imaging based on two types of topological singularity in one-dimensional photonic crystals

    Haoran Zhang, Yufu Liu, Yunlin Li, and Xunya Jiang*

    • Department of Illuminating Engineering and Light Sources, College of Intelligent Robotics and Advanced Manufacturing, Fudan University, Shanghai 200433, China

    • *Contact author: jiangxunya@fudan.edu.cn

    Phys. Rev. A 112, 033523 – Published 16 September, 2025

    DOI: https://doi.org/10.1103/j4kb-7rkm

    Abstract

    Differential imaging has garnered significant attention owing to its boundary detection capabilities in image processing. However, to date, there has been scant research investigating the relationship between the differential imaging effect and the topological properties of a one-dimensional (1D) system. In this work, we systematically investigate the multiple-order differential imaging based on two types of topological singularity in 1D photonic crystals (PhCs). For both oblique and normal incidences, we conduct a detailed investigation of differential imaging effect. For the oblique incident cases, the first type of topological singularities support first-order differential imaging in both x and y directions. Meanwhile, based on the second type of topological singularities, ∂2/∂x∂y-type differential imaging can be achieved. For the normal incident cases, the first type of topological singularities can support radial second-order and fourth-order differential imaging and the second type of topological singularities can support radial fourth-order differential imaging without the need for fine-tuning of the structural parameters. We further demonstrate the realization of these differential imaging effects in the deep-subwavelength region by shifting the first type of topological singularities into this region. This research connects the topological properties of PhCs with optical differential imaging, paving the way for the development of multiple-order differential imaging devices with improved robustness and functionality.

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