Astraios Courses73
hasCourse

Inverse problems and machine learning in earth and space physics  

Description

This course covers advanced methods for inversion of geophysical and astrophysical data, including machine learning techniques. Case studies from a wide range of inverse problems in Earth and Space physics (e.g. seismic tomography, geomagnetism, exoplanets, ground penetrating radar, galactic emission spectra, gravity) are presented and solved. The emphasis in this course is on inversion methods that handle non-Gaussian noise and use of suitable a priori information to get the most out of the observed data. Python will be used as a tool throughout the course.

Delivery mode

Presential
English

Name

Inverse problems and machine learning in earth and space physics
English

UNIVERSITY OF TWENTE

Faculty of Geo-Information Science and Earth Observation

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