[Cite as http://purl.org/au-research/grants/arc/DP0208039]
FRS, FAA Brian Leslie Norman Kennett
Professor Brian L. N. Kennett
Brief description Data Adaptive Geophysical Inversion. The goal of this project is to develop new techniques for extracting information about the interior structure of the Earth from large geophysical data sets. These methods will be adaptive so that they allow the definition of the physical model to be constrained by the character of the data. The project will utilize advances in computational geometry, nonlinear inversion and interactive computer visualisation to extract robust information from data sets with variable resolving power. The resulting algorithms will be applicable to a wide range of problems in the physical sciences.
Funding Amount $208,000
Funding Scheme Discovery Projects
View this grant in the ARC Data Portal