Galactic archaeology aims to uncover a galaxy's history through present-day observations. For example, past galactic mergers can be uncovered by carefully analysing the velocity distribution of a galaxy. This project focuses on developing novel techniques for the analysis of astronomical data for this purpose. The high dimensionality of the data requires the development of very efficient numerical reconstruction algorithms that make use of structural prior-information. This project is a cooperation with the group of Glenn van den Ven at the Department of Astronomy at the University of Vienna. 

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Image credits: Bryan Goff, opens an external URL in a new window