Hawkins, RhysBrodie, Ross C.Sambridge, Malcolm2020-04-160812-3985http://hdl.handle.net/1885/203202This paper presents the application of a novel trans-dimensional sampling approach to a time domain airborne electromagnetic (AEM) inverse problem to solve for plausible conductivities of the subsurface. Geophysical inverse field problems, such as time domain AEM, are well known to have a large degree of non-uniqueness. Common least-squares optimisation approaches fail to take this into account and provide a single solution with linearised estimates of uncertainty that can result in overly optimistic appraisal of the conductivity of the subsurface. In this new non-linear approach, the spatial complexity of a 2D profile is controlled directly by the data. By examining an ensemble of proposed conductivity profiles it accommodates non-uniqueness and provides more robust estimates of uncertainties.application/pdfen-AU© ASEG 2018Trans-dimensional Bayesian inversion of airborne electromagnetic data for 2D conductivity profiles201810.1071/EG161392019-11-25