Methods estimate multiplicative and additive noise in AEM data from repeat lines with non-linear altitude correction, Gaussianise the noise, estimate time-channel correlations in the covariance matrix, and conclude that a diagonal covariance suffices for regularised time-domain AEM imaging.
A framework for probabilistic continuous inverse theory
2 Pith papers cite this work, alongside 52 external citations. Polarity classification is still indexing.
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Lectures reviewing three established numerical methods for inverse problems in extracting PDFs and spectral functions from lattice QCD and experimental data.
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Estimating noise for airborne electromagnetic data from repeat flight lines or inversion residuals
Methods estimate multiplicative and additive noise in AEM data from repeat lines with non-linear altitude correction, Gaussianise the noise, estimate time-channel correlations in the covariance matrix, and conclude that a diagonal covariance suffices for regularised time-domain AEM imaging.
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Some Inverse Problems in Particle Physics
Lectures reviewing three established numerical methods for inverse problems in extracting PDFs and spectral functions from lattice QCD and experimental data.