T
Thomas Kalscheuer
Researcher at Uppsala University
Publications - 63
Citations - 1270
Thomas Kalscheuer is an academic researcher from Uppsala University. The author has contributed to research in topics: Magnetotellurics & Finite element method. The author has an hindex of 21, co-authored 58 publications receiving 1041 citations. Previous affiliations of Thomas Kalscheuer include ETH Zurich & University of Cologne.
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A goal-oriented adaptive finite-element approach for plane wave 3-D electromagnetic modelling
TL;DR: A goal-oriented adaptive finite element approach for plane wave 3D electromagnetic modeling is proposed in this paper, which is based on adaptive finite-element (AEFES) approach.
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Non-linear model error and resolution properties from two-dimensional single and joint inversions of direct current resistivity and radiomagnetotelluric data
TL;DR: In this paper, a comparative analysis of the resolution and variance properties of 2D models of electrical resistivity derived from single and joint inversions of dc resistivity (DCR) and radiomagnetotelluric (RMT) measurements is presented.
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Two-dimensional probabilistic inversion of plane-wave electromagnetic data: Methodology, model constraints and joint inversion with electrical resistivity data
TL;DR: In this paper, a 2D pixel-based MCMC inversion of plane-wave electromagnetic (EM) data is presented, and the authors investigate how model parameter uncertainty depends on model structure constraints using different norms of the likelihood function and the model constraints.
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Gravity Anomalies of Arbitrary 3D Polyhedral Bodies with Horizontal and Vertical Mass Contrasts
TL;DR: In this article, the authors derived analytic formulae for gravity anomalies of arbitrary polyhedral bodies with complicated polynomial density contrasts in 3D space, where anomalous mass density is allowed to vary in both horizontal and vertical directions in a Polynomial form of =ax^m+by^n+cz^t$$�, where m, n, t are nonnegative integers and a, b, c are coefficients of mass density.
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Fast 3-D large-scale gravity and magnetic modeling using unstructured grids and an adaptive multilevel fast multipole method
TL;DR: In this article, an adaptive multi-level fast multipole (AMFM) method is developed to reduce the modeling time of large-scale 3D gravity and magnetic modeling problems.