Linkage Infrastructure, Equipment And Facilities - Grant ID: LE200100008
Funder
Australian Research Council
Funding Amount
$700,000.00
Summary
Australian Seismic Imaging Array. The project aims to create a facility for developing techniques for imaging the deep earth and the surface motion in ambient seismic waves created by wind, waves and human activity. The techniques will enable sources of seismic vibrations to be identified and suppressed, and will allow mapping techniques to be developed for monitoring and discovery of resources such as ground water. Gravitational wave researchers will benefit from the ability to suppress seismic ....Australian Seismic Imaging Array. The project aims to create a facility for developing techniques for imaging the deep earth and the surface motion in ambient seismic waves created by wind, waves and human activity. The techniques will enable sources of seismic vibrations to be identified and suppressed, and will allow mapping techniques to be developed for monitoring and discovery of resources such as ground water. Gravitational wave researchers will benefit from the ability to suppress seismic vibrations, while geophysicists will benefit from new techniques and training. Read moreRead less
Unlocking the potential of quantitative x-ray micro-tomography. This project aims to build on two new ideas in data acquisition and 3D image reconstruction to bring 3D X-ray microscopy or computed tomography (CT) into advanced research use as well as common industrial applications. In the past 10 years, CT has improved our understanding in areas ranging from the evolution of life and osteoporosis to composite material failure and oil recovery. However, the full potential of CT remains unrealised ....Unlocking the potential of quantitative x-ray micro-tomography. This project aims to build on two new ideas in data acquisition and 3D image reconstruction to bring 3D X-ray microscopy or computed tomography (CT) into advanced research use as well as common industrial applications. In the past 10 years, CT has improved our understanding in areas ranging from the evolution of life and osteoporosis to composite material failure and oil recovery. However, the full potential of CT remains unrealised because crucial features in structure and composition are overlooked by simplistic algorithms. Users cannot directly capture quantities of interest such as key compositional variation or defects, and workflows are poorly adapted for large-scale use in industrial fabrication or phenomics. This project aims to address these shortcomings using advanced mathematics and algorithms.Read moreRead less