C
Colin G. Farquharson
Researcher at Memorial University of Newfoundland
Publications - 165
Citations - 3430
Colin G. Farquharson is an academic researcher from Memorial University of Newfoundland. The author has contributed to research in topics: Electromagnetics & Inversion (meteorology). The author has an hindex of 28, co-authored 156 publications receiving 2727 citations. Previous affiliations of Colin G. Farquharson include University of Edinburgh & University of British Columbia.
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Non-linear inversion using general measures of data misfit and model structure
TL;DR: In this paper, the authors investigate the use of general, non-l2 measures of data misfit and model structure in the solution of the non-linear inverse problem and present two possibilities.
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A comparison of automatic techniques for estimating the regularization parameter in non-linear inverse problems
TL;DR: In this paper, the generalized cross-validation and L-curve criteria are applied to the linearized inverse problem at each iteration in a typical iterative, linearized solution to the non-linear problem.
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Simultaneous 1D inversion of loop loop electromagnetic data for magnetic susceptibility and electrical conductivity
TL;DR: In this paper, the authors present an algorithm that simultaneously inverts susceptibility-affected data for 1D conductivity and susceptibility models, enabling reliable conductivity models to be constructed and can give useful information about the distribution of susceptibility in the earth.
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Constructing piecewise-constant models in multidimensional minimum-structure inversions
TL;DR: A modification of the typical minimum-structure inver-sion algorithm is presented that generates blocky, piecewise-constant earth models that are often more consistent with the authors' real or perceived knowledge of the subsurface than the fuzzy, smeared-out models produced by current minimum-Structure inversions.
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Joint inversion of seismic traveltimes and gravity data on unstructured grids with application to mineral exploration
TL;DR: In this article, a joint inversion of seismic first-arrival traveltimes and gravity data is proposed to recover causative slowness and density distributions. But the authors do not consider the effect of the coupling to avoid potential convergence issues, and automatically adjust two Tikhonov tradeoff parameters to achieve a desired fit to both d...