publication . Article . 2012

Transdimensional tomography

Name: Transdimensional tomography
Keywords: Geochemistry and Petrology, Geophysics

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

Open Access

Published: 04 Apr 2012 Journal: Geophysical Journal International, volume 189, pages 1,536-1,556 (issn: 0956-540X,

Publisher: Oxford University Press (OUP)

Summary

Abstract

SUMMARY 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 and the regularization) is defined arbitrarily by the user prior to inversion with only limited use of data errors. In the context of multiscale problems, dealing...

doi: 10.1111/j.1365-246x.2012.05414.x

Subjects

free text keywords: Geochemistry and Petrology, Geophysics, Inverse problem, Data type, Regularization (mathematics), Level of detail, Basis function, Data set, Data mining, computer.software_genre, computer, Probability distribution, Ambient noise level, Mathematics

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