- Code PHYS8721
- Unit Value 6 units
- Offered by Research School of Physics
- ANU College ANU Joint Colleges of Science
- Course subject Physics
- Areas of interest Earth and Marine Sciences, Astronomy and Astrophysics, Photonics, Physics, Science
- Academic career PGRD
- Dr Andrew Kingston
- Mode of delivery In Person
First Semester 2021
See Future Offerings
Imaging is one of the most important tools in scientific discovery; as they say, "seeing is believing." It can give conclusive evidence of certain properties, structures, composition and even processes providing invaluable insight into objects of interest. There are many ways to image matter; the right choice depends on the scale, time-frame, and property of interest. Objects can be imaged in 2D or 3D with various probes including electromagnetic radiation, particles, and acoustic waves. Advanced imaging is becoming increasingly important, producing imaging systems with significantly enhanced capabilities such as in ground-penetrating radar, magnetic resonance imaging, synthetic aperture radar, hyperspectral imaging, and computed tomography.
While this unique course will cover conventional imaging techniques, the focus will be more on advanced imaging for specific applications. It will include case-studies of some of the state-of-the-art instruments and techniques used by world-class scientists in Astronomy, Geophysics, and Physics researchers here at ANU. The imaging material covered includes optical, hyper-spectral, scanning probe, interferometric, and tomographic (both emission and transmission modes).
Upon successful completion, students will have the knowledge and skills to:Upon successful completion of this course, students will have the knowledge and skills to:
- Understand a range of conventional and advanced 2D and 3D imaging techniques;
- Describe the different matter/probe (e.g., infrared, neutrons, acoustic) interactions and which are ideal to identify an object’s characteristic of interest;
- Understand how these techniques are used in some principle application areas (astronomical, seismic, biomedical, atmospheric studies);
- Describe the concept of computational imaging and apply some techniques involved such as expectation maximisation and compressed sensing;
- Understand and appreciate the limits and pitfalls of using images to make inferences;
- Evaluate the performance and limitations of an imaging technique for a given application.
Indicative AssessmentAssessment will be based on:
- Assignments 25% LO1-4
- Labs 20% LO1, 3-5
- Exam 30% LO1-6
- Project 25% LO5-6
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Workload120 hours of total student learning time, including 42 hours of lectures and drop-in sessions, 6 hours of laboratory work across the semester and individual study.
Requisite and Incompatibility
Assumed KnowledgeBasic computing, Fourier analysis, basic linear algebra. 12 units of university level mathematics for physicists and engineers. 12 units of first year university advanced level physics.
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- 6 units
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