Imaging cloaked objects: diffraction tomography of realistic invisibility devices

TL;DR

This paper demonstrates that diffraction tomography can effectively detect and image realistic invisibility cloaks by utilizing phase and angular information, surpassing traditional scattering cross-section methods.

Contribution

It introduces a diffraction tomography approach that enhances detection sensitivity and allows imaging of cloaks' shape and size, addressing limitations of previous methods.

Findings

Diffraction tomography improves cloak detection sensitivity.

The method can image the approximate shape and size of cloaks.

Scattering cancellation coatings can enhance imaging contrast.

Abstract

Invisibility cloaks have become one of the most outstanding developments among the wide range of applications in the field of metamaterials. So far, most efforts in invisibility science have been devoted to achieving practically realizable cloak designs and to improving the effectiveness of these devices in reducing their scattering cross-section (SCS), a scalar quantity accounting for the total electromagnetic energy scattered by an object. In contrast, little attention has been paid to the opposite side of the technology: the development of more efficient techniques for the detection of invisibility devices. For instance, the SCS ignores the phase change introduced by the cloak, as well as the angular dependence of the incident and scattered waves. Here, we propose to take advantage of the smarter way in which diffraction tomography processes all this overlooked information to improve the efficiency in unveiling the presence of invisibility devices. We show that this approach not only results in a considerable sensitivity enhancement in the detection of different kinds of cloaks based on both scattering cancellation and transformation optics, but also enables us to even obtain images depicting the approximate shape and size of the cloak. As a side result, we find that scattering cancellation coatings may be used to enhance the contrast of tomographic images of closely-packed particles. Our work could be easily extended to the detection of sound cloaks.