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Citation

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 Rakić, Aleksandar D. and Harrison, Paul and Linfield, Edmund and Ikonić, 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 and Physical Sciences > School of Electronic and Electrical Engineering > Institute of Microwaves and Photonics
Related resources:	Location Type https://doi.org/10.1364/OE.24.021948 Publication https://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
Additional details Additional details Creators or authors: Creators ORCID Other ID Email Primary affiliation Primary affiliation ID Primary affiliation ID type Secondary affiliation Secondary affiliation ID Secondary affiliation ID type Grier, Andrew https://orcid.org/0000-0003-1044-3166 University of Leeds https://ror.org/024mrxd33 ror Dean, Paul https://orcid.org/0000-0002-3950-4359 University of Leeds https://ror.org/024mrxd33 ror Valavanis, Alexander https://orcid.org/0000-0001-5565-0463 University of Leeds https://ror.org/024mrxd33 ror Keeley, James https://orcid.org/0000-0001-5251-6648 University of Leeds https://ror.org/024mrxd33 ror Kundu, Iman https://orcid.org/0000-0002-3564-1903 University of Leeds https://ror.org/024mrxd33 ror Cooper, Jonathan D. University of Leeds https://ror.org/024mrxd33 ror Agnew, Gary https://orcid.org/0000-0002-2498-824X University of Queensland https://ror.org/00rqy9422 ror Taimre, Thomas https://orcid.org/0000-0003-4470-7668 University of Queensland https://ror.org/00rqy9422 ror Lim, Yah Leng https://orcid.org/0000-0002-3484-045X University of Queensland https://ror.org/00rqy9422 ror Bertling, Karl https://orcid.org/0000-0003-1087-2315 University of Queensland https://ror.org/00rqy9422 ror Rakić, Aleksandar D. https://orcid.org/0000-0002-4615-2240 University of Queensland https://ror.org/00rqy9422 ror Harrison, Paul https://orcid.org/0000-0001-6117-0896 Sheffield Hallam University https://ror.org/019wt1929 ror Linfield, Edmund https://orcid.org/0000-0001-6912-0535 University of Leeds https://ror.org/024mrxd33 ror Ikonić, Zoran https://orcid.org/0000-0003-4645-377X University of Leeds https://ror.org/024mrxd33 ror Davies, A. Giles https://orcid.org/0000-0002-1987-4846 University of Leeds https://ror.org/024mrxd33 ror Indjin, Dragan https://orcid.org/0000-0002-9121-9846 University of Leeds https://ror.org/024mrxd33 ror Type of data: Dataset Research funders: EPSRC Grant numbers: EP/J002356/1 Publication date: 2016 Resource language: English Metadata language: English Research project title: Coherent detection and manipulation of terahertz quantum cascade lasers Publisher: University of Leeds Contact email: el09a2g@leeds.ac.uk Last Modified: 22 Aug 2024 09:08

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Data

Experimental optical power versus current density measured at 35K for free-running laser (Fig. 1) [3kB] Experimental optical power versus current density measured at 35K for free-running laser (Fig. 1) [3kB] Experimental optical power versus current density measured at 35K for free-running laser (Fig. 1) [3kB] Security: Anyone File name: Experimental_P_I.txt Content type: Data Mime-Type: text/plain License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 3kB

Experimental bias in volts versus current density measured at 35K for free-running laser (Fig. 1) [3kB] Experimental bias in volts versus current density measured at 35K for free-running laser (Fig. 1) [3kB] Experimental bias in volts versus current density measured at 35K for free-running laser (Fig. 1) [3kB] Security: Anyone File name: Experimental_V_I.txt Content type: Data Mime-Type: text/plain License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 3kB

Experimentally measured self-mixing signal magnitude versus current density (Figs. 3 and 4) [633B] Experimentally measured self-mixing signal magnitude versus current density (Figs. 3 and 4) [633B] Experimentally measured self-mixing signal magnitude versus current density (Figs. 3 and 4) [633B] Security: Anyone File name: Experimental_Vsm_I.txt Content type: Data Mime-Type: text/plain License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 633B

DM model results with fitted reference loss for optical power versus current density (Fig.1) [16kB] DM model results with fitted reference loss for optical power versus current density (Fig.1) [16kB] DM model results with fitted reference loss for optical power versus current density (Fig.1) [16kB] Security: Anyone File name: Theory_P_I.txt Content type: Data Mime-Type: text/plain License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 16kB

DM model results with fitted reference loss for bias versus current density (Fig.1) [16kB] DM model results with fitted reference loss for bias versus current density (Fig.1) [16kB] DM model results with fitted reference loss for bias versus current density (Fig.1) [16kB] Security: Anyone File name: Theory_V_I.txt Content type: Data Mime-Type: text/plain License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 16kB

Raw density matrix model output of current density versus Loss and applied field (Fig. 2(a)) [14kB] Raw density matrix model output of current density versus Loss and applied field (Fig. 2(a)) [14kB] Raw density matrix model output of current density versus Loss and applied field (Fig. 2(a)) [14kB] Security: Anyone File name: DM_model_J_V_L.csv Content type: Data Mime-Type: text/csv License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 14kB

Raw density matrix model output of optical power versus Loss and applied field (Fig. 2(b)) [13kB] Raw density matrix model output of optical power versus Loss and applied field (Fig. 2(b)) [13kB] Raw density matrix model output of optical power versus Loss and applied field (Fig. 2(b)) [13kB] Security: Anyone File name: DM_model_P_V_L.csv Content type: Data Mime-Type: text/csv License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 13kB

Self-mixing signal versus current density using purely theoretical model (Fig. 3) [26kB] Self-mixing signal versus current density using purely theoretical model (Fig. 3) [26kB] Self-mixing signal versus current density using purely theoretical model (Fig. 3) [26kB] Security: Anyone File name: Theory_Vsm_I.txt Content type: Data Mime-Type: text/plain License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 26kB

Self-mixing signal versus current density using hybrid model (Fig. 4) [8kB] Self-mixing signal versus current density using hybrid model (Fig. 4) [8kB] Self-mixing signal versus current density using hybrid model (Fig. 4) [8kB] Security: Anyone File name: Hybrid_Vsm_I.txt Content type: Data Mime-Type: text/plain License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 8kB