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Transdimensional tomography with unknown data noise

Bodin, Thomas; Sambridge, Malcolm; Rawlinson, Nicholas; Arroucau, Pierre


A meaningful interpretation of seismic measurements requires a rigorous quantification of the uncertainty. In an inverse problem, the data noise determines how accurately observations should be fit, and ultimately the level of detail contained in the recovered model. A common problem in seismic tomography is the difficulty in quantifying data uncertainties, and thus the required level of data fit. Traditionally, the complexity of the solution model (defined by both the number of basis functions...[Show more]

CollectionsANU Research Publications
Date published: 2012
Type: Journal article
Source: Geophysical Journal International
DOI: 10.1111/j.1365-246X.2012.05414.x
Access Rights: Open Access

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