Time-resolved nonlinear ghost imaging: route to hyperspectral single-pixel reconstruction of complex samples at THz frequencies

Olivieri, Luana, Totero Gongora, Juan S, Pasquazi, Alessia and Peccianti, Marco (2019) Time-resolved nonlinear ghost imaging: route to hyperspectral single-pixel reconstruction of complex samples at THz frequencies. SPIE Photonics West 2019, San Francisco, California, United States, 2nd-7th February 2019. Published in: Nonlinear Frequency Generation and Conversion: Materials and Devices XVIII. 10902 142-148. SPIE ISSN 0277-786X ISBN 9781510624467

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Abstract

Terahertz (THz) is an innovative form of electromagnetic radiation providing unique spectroscopy capabilities in critical fields, ranging from biology to material science and security. The limited availability of high-resolution imaging devices, however, constitutes a major limitation in this field. In this work, we tackle this challenge by proposing an innovative type of time-space nonlinear Ghost-Imaging (GI) methodology that conceptually outperforms established single-pixel imaging protocols. Our methodology combines nonlinear pattern generation with time-resolved single-pixel measurements, as enabled by the state-of-the-art Time-Domain Spectroscopy (TDS) technique. This approach is potentially applicable to any wave-domain in which the field is a measurable quantity. The full knowledge of the temporal evolution of the transmitted field enables devising a new form of full-wave reconstruction process. This gives access not only to the morphological features of the sample with deeply subwavelength resolution but also to its local spectrum (hyperspectral imaging). As a target application, we consider hyperspectral THz imaging of a disordered inhomogeneous sample.

Item Type: Conference Proceedings
Schools and Departments: School of Mathematical and Physical Sciences > Physics and Astronomy
Research Centres and Groups: Atomic, Molecular and Optical Physics Research Group
Depositing User: Juan Sebastian Totero Gongora
Date Deposited: 15 Jul 2020 09:41
Last Modified: 16 Jul 2020 07:37
URI: http://sro.sussex.ac.uk/id/eprint/92547

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