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Data associated with 'Origin of terminal voltage variations due to self-mixing in terahertz frequency quantum cascade lasers'

Grier, Andrew and Dean, Paul and Valavanis, Alexander and Keeley, James and Kundu, Iman and Cooper, Jonathan D. and Agnew, Gary and Taimre, Thomas and Lim, Yah Leng and Bertling, Karl and Rakic, Aleksandar and Harrison, Paul and Linfield, Edmund and Ikonic, Zoran and Davies, A Giles and Indjin, Dragan (2016) Data associated with 'Origin of terminal voltage variations due to self-mixing in terahertz frequency quantum cascade lasers'. University of Leeds. [Dataset] https://doi.org/10.5518/77

Dataset description

We explain the origin of voltage variations due to self-mixing in a terahertz (THz) frequency quantum cascade laser (QCL) using an extended density matrix (DM) approach. Our DM model includes a full calculation of scattering between quantum states as well as coherent transport from miniband states into the upper lasing level and allows calculation of both the current–voltage (I-V) and optical power characteristics of the QCL under optical feedback. The model is applied to an exemplar 2.6 THz bound-to continuum QCL that is typical of those used in optical feedback interferometry. Feedback from an external cavity is included in the model through a change in cavity loss, to which the gain of the active region is clamped. The variation of intra-cavity field strength necessary to achieve gain clamping, and the subsequent change in bias required to maintain a constant current density through the heterostructure is then calculated. Strong enhancement of the self-mixing voltage signal due to non-linearity of the I–V characteristics in the analyzed THz QCL device is predicted and confirmed experimentally.

Subjects: H000 - Engineering > H600 - Electronic & electrical engineering
Divisions: Faculty of Engineering > School of Electronic and Electrical Engineering > Institute of Microwaves and Photonics
Related resources:
LocationType
https://doi.org/10.1364/OE.24.021948Publication
http://eprints.whiterose.ac.uk/103815/Publication
License: Creative Commons Attribution 4.0 International (CC BY 4.0)
Date deposited: 25 Aug 2016 16:00
URI: https://archive.researchdata.leeds.ac.uk/id/eprint/73

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