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Data associated with 'Continuous frequency tuning with near constant output power in coupled Y-branched terahertz quantum cascade lasers with photonic lattice'
Citation
Kundu, Iman and Dean, Paul and Valavanis, Alexander and Freeman, Joshua R. and Rosamond, Mark C. and Li, Lianhe and Han, Yingjun and Linfield, Edmund and Davies, A. Giles (2018) Data associated with 'Continuous frequency tuning with near constant output power in coupled Y-branched terahertz quantum cascade lasers with photonic lattice'. University of Leeds. [Dataset] https://doi.org/10.5518/332
Dataset description
We demonstrate continuous frequency tuning in terahertz quantum cascade lasers with double metal waveguides using a Y-branched coupler. Two THz QCLs placed side-by-side couple by evanescent fields across the air gap between them. Each QCL waveguide comprises a 48-μm-wide coupler and S-bend section, which are connected to an 88-μm-wide Y-branch through an impedance matching ta-pered section. Photonic lattices are patterned on top of the coupler section in each QCL using focused ion-beam milling to control the spec-tral characteristics. The waveguide design used for individual QCL sections is optimized using finite element modelling and the spectral char-acteristics are modelled using a transfer matrix model. Continuous frequency tuning of ~19 GHz is demonstrated while maintaining an out-put power of ~4.2–4.8 mW and a heat sink temperature of 50 K. The tuning is controlled electrically through Stark shift and cavity pulling effects by driving both QCLs simultaneously and represents widest electrically-controlled monolithic continuous tuning performance from a THz QCL.
| Keywords: | terahertz, quantum cascade laser, frequency tuning, single mode | ||||||
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| Subjects: | H000 - Engineering > H600 - Electronic & electrical engineering | ||||||
| Divisions: | Faculty of Engineering and Physical Sciences > School of Electronic and Electrical Engineering | ||||||
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| License: | Creative Commons Attribution 4.0 International (CC BY 4.0) | ||||||
| Date deposited: | 29 Jun 2018 14:02 | ||||||
| URI: | https://archive.researchdata.leeds.ac.uk/id/eprint/384 | ||||||
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