Research Data Leeds Repository

Citation

Dunn, Aniela and Poyser, Caroline and Dean, Paul and Demić, Aleksandar and Valavanis, Alexander and Indjin, Dragan and Salih, Mohammed and Kundu, Iman and Li, Lianhe and Akimov, Andrey and Davies, A. Giles and Linfield, Edmund and Cunningham, John and Kent, Anthony (2019) Dataset associated with 'High-Speed Modulation of a Terahertz Quantum Cascade Laser by Coherent Acoustic Phonon Pulses'. University of Leeds. [Dataset] https://doi.org/10.5518/579

Dataset description

This archive contains the dataset associated with the publication entitled ‘High-Speed Modulation of a Terahertz Quantum Cascade Laser by Coherent Acoustic Phonon Pulses'. Fast modulation of lasers is a fundamental requirement for applications in optical communications, high-resolution spectroscopy and metrology. In the terahertz-frequency range, the quantum-cascade laser (QCL) is a high-power source with the potential for high-frequency modulation. However, conventional electronic modulation is limited fundamentally by parasitic device impedance, and so alternative physical processes must be exploited to modulate the QCL gain on ultrafast timescales. Here, we demonstrate an alternative mechanism to modulate the emission from a QCL device, whereby optically-generated acoustic phonon pulses are used to perturb the QCL bandstructure, enabling fast amplitude modulation that can be controlled using the QCL drive current or strain pulse amplitude, to a maximum modulation depth of 6% in our experiment. We show that this modulation can be explained using perturbation theory analysis. While the modulation rise-time was limited to ~800 ps by our measurement system, theoretical considerations suggest considerably faster modulation could be possible. Data included: power-current (L-I), power-voltage (L-V) data; Voltage across QCL device and Schottky signal detected from device for different bias conditions; Magnitudes of acoustic modulation shown in Figure 4; Resonant tunnelling data from Figure 5; Simulation .mat file for predicted power modulation shown in figure 3 (b).

Subjects:	F000 - Physical sciences > F300 - Physics > F360 - Optical physics > F361 - Laser physics
Divisions:	Faculty of Engineering and Physical Sciences > School of Chemistry
Related resources:	Location Type https://doi.org/10.1038/s41467-020-14662-w Publication https://eprints.whiterose.ac.uk/155418/ Publication
License:	Creative Commons Attribution 4.0 International (CC BY 4.0)
Date deposited:	30 Jan 2020 09:30
URI:	https://archive.researchdata.leeds.ac.uk/id/eprint/634
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 Dunn, Aniela https://orcid.org/0000-0002-7369-1469 University of Leeds https://ror.org/024mrxd33 ror Poyser, Caroline https://orcid.org/0000-0001-8228-8025 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 Demić, Aleksandar https://orcid.org/0000-0003-1335-6156 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 Indjin, Dragan https://orcid.org/0000-0002-9121-9846 University of Leeds https://ror.org/024mrxd33 ror Salih, Mohammed https://orcid.org/0009-0001-6882-4642 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 Li, Lianhe https://orcid.org/0000-0003-4998-7259 University of Leeds https://ror.org/024mrxd33 ror Akimov, Andrey https://orcid.org/0000-0002-8173-8212 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 Linfield, Edmund https://orcid.org/0000-0001-6912-0535 University of Leeds https://ror.org/024mrxd33 ror Cunningham, John https://orcid.org/0000-0002-1805-9743 University of Leeds https://ror.org/024mrxd33 ror Kent, Anthony https://orcid.org/0000-0002-2391-6869 University of Leeds https://ror.org/024mrxd33 ror Type of data: Dataset Research funders: EPSRC Grant numbers: EP/M016161/1 Publication date: 2019 Resource language: English Metadata language: English Research project title: Acoustoelectric Methods for the Generation, Manipulation and Detection of THz Radiation Publisher: University of Leeds Contact email: A.Dunn1@Leeds.ac.uk Last Modified: 18 Dec 2024 10:28

Files

Data

Raw LIV data [3kB] Raw LIV data [3kB] Raw LIV data [3kB] Security: Anyone File name: LIV.mat Content type: Data Description: Shown in Fig 1(c) License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 3kB

Raw data scope traces [1MB] Raw data scope traces [1MB] Raw data scope traces [1MB] Security: Anyone File name: Raw_data_voltage_and_power.mat Content type: Data Description: Processed data shown in Figs 2 and 3 License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 1MB

LIV data fitted with Bi-Gaussian [105kB] LIV data fitted with Bi-Gaussian [105kB] LIV data fitted with Bi-Gaussian [105kB] Security: Anyone File name: LIV_fitted.mat Content type: Data Description: Used for power modulation simulations License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 105kB

Magnitudes of acoustic modulation [1kB] Magnitudes of acoustic modulation [1kB] Magnitudes of acoustic modulation [1kB] Security: Anyone File name: Magnitude_Data.mat Content type: Data Description: Shown in Fig 4, calculated from processed raw data License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 1kB

Tunnelling probabilites for QCL structure [60kB] Tunnelling probabilites for QCL structure [60kB] Tunnelling probabilites for QCL structure [60kB] Security: Anyone File name: Tunnelling_probabilities.mat Content type: Data Description: Shown in Fig 5 License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 60kB

Simulation of power modulation program [4kB] Simulation of power modulation program [4kB] Simulation of power modulation program [4kB] Security: Anyone File name: Power_modulation_simulation.m Content type: Data Description: Process used to calculate the predicted power modulation Mime-Type: application/vnd.wolfram.mathematica.package License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 4kB