Research Data Leeds Repository

Data to Support Photoconductive Arrays on Insulating Substrates for High-Field Terahertz Generation

Bacon, David and Gill, Thomas and Rosamond, Mark and Burnett, Andrew D. and Dunn, Aniela and Li, Lianhe and Linfield, Edmund H. and Davies, A. Giles and Dean, Paul and Freeman, Joshua R. (2020) Data to Support Photoconductive Arrays on Insulating Substrates for High-Field Terahertz Generation. University of Leeds. [Dataset] https://doi.org/10.5518/779

Dataset description

The data included in this repository supports our work on the design, fabrication and characterisation of large-area photoconductive THz array structures, consisting of a thin LT-GaAs active region transferred to an insulating substrate using a wafer-scale bonding process. The electrically insulating, transparent substrate reduces the parasitic currents in the devices, allowing peak THz-fields as high as 140 kV cm-1 to be generated over a bandwidth >5 THz. These results are achieved using lower pulse energies than demanded by conventional photoconductive arrays and other popular methods of generating high-field THz radiation. Two device sizes are fully characterised and the emission properties are compared to generation by optical rectification in ZnTe. The device can be operated in an optically saturated regime in order to suppress laser noise.

Keywords: Terahertz, spectroscopy high-field, non-linear, Array, photoconductive
Subjects: H000 - Engineering > H600 - Electronic & electrical engineering
F000 - Physical sciences > F300 - Physics > F310 - Applied physics
F000 - Physical sciences > F300 - Physics > F360 - Optical physics
Divisions: Faculty of Engineering > School of Electronic and Electrical Engineering > Pollard Institute
Faculty of Mathematics and Physical Sciences > School of Chemistry
Related resources:
LocationType
https://doi.org/10.1364/OE.391656Publication
http://eprints.whiterose.ac.uk/160309/Publication
License: Creative Commons Attribution 4.0 International (CC BY 4.0)
Date deposited: 01 Jun 2020 10:57
URI: https://archive.researchdata.leeds.ac.uk/id/eprint/682

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