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High-Precision Characterisation of Optics Using Hartmann Wavefront Sensors
Honours projects: Accurate knowledge of optical parameters is becoming increasingly important for a wide range of scientific and industrial applications.
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Computational Models of Lasers for Future Gravitational Wave Detectors
Honours project: This project provides the opportunity to adapt an advanced set of modelling tools to predict the performance of 2µm lasers and help optimise their performance.
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Mixed Digital and Analog Control of Advanced Lasers
Honours project: This project explores the use of blended control strategies to optimise the performance of advanced lasers.
[Read more about Mixed Digital and Analog Control of Advanced Lasers]
Frequency Standards and Distribution
Honours projects: Accurate knowledge of optical parameters is becoming increasingly important for a wide range of scientific and industrial applications.
Understanding Laser Beams
Honours project: The goal of this project is to explore the use of new imaging arrays for laser beam profilers that can cover a wide range of wavelengths.
Characterising the Directional Stability of Laser Sources for Future Gravitational Wave Detectors
Honours project: In this project you will develop a new quadrant photodiode to measure the pointing stability of 2 µm lasers that being developed for future detectors.
Improving Fibre Laser Sources for Future Gravitational Wave Detectors
Honours project: In this project you will join the team developing 2 µm fibre laser sources and investigate the isolation of the laser cavities from the environment.
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Advanced LIGO Detector Characterisation & CW Astrophysics
Honours project: This project provides the opportunity to work on continuous-wave (CW) searches and advanced LIGO detector characterisation as part of the OzGrav Centre of Excellence.
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Machine Learning Techniques for Advanced Gravitational Wave Detectors
Honours project: This project will use advanced interferometer simulation software, developed by researchers at Adelaide, coupled with machine learning and Bayesian analysis methods to develop new techniques for extracting experimental parameters within gravitational wave interferometers.
[Read more about Machine Learning Techniques for Advanced Gravitational Wave Detectors]
High-energy Physics Phenomenology
Honours projects: Projects which combine experimental, computational and theoretical physics.