Magnetic interpolation using Gaussian processes
Wolf Nederpel (TU Delft - Electrical Engineering, Mathematics and Computer Science)
Aad Vijn – Mentor (TU Delft - Electrical Engineering, Mathematics and Computer Science)
Eugène Lepelaars – Mentor (TU Delft - Electrical Engineering, Mathematics and Computer Science)
Jakob Söhl – Graduation committee member (TU Delft - Electrical Engineering, Mathematics and Computer Science)
Arnold Heemink – Graduation committee member (TU Delft - Electrical Engineering, Mathematics and Computer Science)
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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.