Compressive ultrafast pulse measurement via time-domain single-pixel imaging
Abstract
In contrast to imaging using position-resolving cameras, single-pixel imaging uses a bucket detector along with spatially structured illumination to compressively recover images. This emerging imaging technique is a promising candidate for a broad range of applications due to the high signal-to-noise ratio (SNR) and sensitivity, and applicability in a wide range of frequency bands. Here, inspired by single-pixel imaging in the spatial domain, we demonstrate a time-domain single-pixel imaging (TSPI) system that covers frequency bands including both terahertz (THz) and near-infrared (NIR) regions. By implementing a programmable temporal fan-out gate based on a digital micromirror device, we can deterministically prepare temporally structured pulses with a temporal sampling size down to 16.00 ± 0.01 f s . By inheriting the advantages of detection efficiency and sensitivity from spatial single-pixel imaging, TSPI enables the recovery of a 5 fJ THz pulse and two NIR pulses with over 97 % fidelity via compressive sensing. We demonstrate that the TSPI is robust against temporal distortions in the probe pulse train as well. As a direct application, we apply TSPI to machine-learning-aided THz spectroscopy and demonstrate a high sample identification accuracy (97.5%) even under low SNRs (SNR ∼ 10 ).
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Aug 30, 2021
- Source ID
- 10.1364/optica.431455
Entities
People
- Boris Braverman
- Jianming Dai
- Jiapeng Zhao
- Robert W. Boyd
- Xi-Cheng Zhang
Organizations
- National Natural Science Foundation of China
- Office of Naval Research
- Tianjin University
- University of Ottawa
- University of Rochester