Super-resolution imaging of negative-refractive graded-index photonic crystal flat lens

Photonic crystal (PC) not only breaks through the diffraction limit of traditional lenses but also can realize super-resolution imaging. Improving the resolution is the key task of PC imaging. The main work of this paper is to use a graded-index Photonic crystal (GPC) flat lens to improve the image resolution. An air-hole type two-dimensional (2D) GPC structure based on silicon medium is proposed in this paper. Numerical simulations through RSoft reveal that when the medium in the imaging area is air, the full width at half maximum (FWHM) value of a single image reaches 0.362 lambda. According to the Rayleigh criterion, the images of two point sources 0.57 lambda apart can also be distinguished. In the imaging system composed of cedar oil and GPC flat lens, the FWHM value of a single image reaches 0.34 lambda. In addition, the images of multiple point sources 0.49 lambda apart can still be distinguished.

Automated summary

This paper proposes the use of a graded-index Photonic crystal (GPC) flat lens to improve image resolution, and presents a two-dimensional (2D) GPC structure based on a silicon medium. Numerical simulations show that when the imaging area is filled with air, the full width at half maximum (FWHM) value of a single image is 0.362 lambda, and the images of two point sources 0.57 lambda apart can be distinguished.