Magnetic interpolation using Gaussian processes

Bachelor thesis (2020)

Authors

W.N. Nederpel Electrical Engineering, Mathematics and Computer Science

Contributors

A.R.P.J. Vijn Mathematical Physics - EEMCS (supervisor 1)
E.S.A.M. Lepelaars Mathematical Physics - EEMCS (supervisor 1)
J. Söhl Statistics - EEMCS (supervisor 2)
A.W. Heemink Mathematical Physics - EEMCS (supervisor 2)
Faculty
Electrical Engineering, Mathematics and Computer Science
Copyright: © 2020 Wolf Nederpel
Gaussian process regression Kriging Magnetostatics Matrix-valued kernels
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Published Date

29-06-2020

Language

English

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Faculty

Electrical Engineering, Mathematics and Computer Science

Abstract

In this thesis a model for interpolation of magnetic fields is constructed using Gaussian processes. This model takes the curl- and divergence-free properties of magnetic fields into account. The Gaussian process regression, or kriging, is tested on both simulated and real data. It is also attempted to reconstruct the magnetization of objects based on measurement data.