Simultaneous 1D inversion of loop loop electromagnetic data for magnetic susceptibility and electrical conductivity

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A comparison of automatic techniques for estimating the regularization parameter in non-linear inverse problems (2004, methodology): “D models of both electrical conductivity and magnetic susceptibility (see also Farquharson et al. 2003).”
A trans-dimensional Bayesian Markov chain Monte Carlo algorithm for model assessment using frequency-domain electromagnetic data (2011, methodology): “D layered-earth models using non-linear least-squares algorithms (Beard & Nyquist 1998; Farquharson et al. 2003; Huang & Fraser 2003; Tølbøll & Christensen 2006), though a simulated annealing approach was also introduced by Yin & Hodges (2007) that is less prone to being trapped in local minima.”
3D inversion of airborne electromagnetic data using a moving footprint (2010, methodology): “…2001), S-inversion (Tartaras et al., 2000; Combrinck, 2008), Zohdy’s method (Sattel, 2005), layered earth inversions (e.g. Chen and Raiche, 1998; Farquharson et al., 2003; Christensen et al., 2010), laterally constrained layered earth inversions (e.g. Auken et al., 2005, Tartaras and Beamish,…”