Doctoral colloquium - Daniel Kyselica (11.3.2024)

Monday 11.3.2024 at 13:10, Lecture room I/9

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Daniel Kyselica:
Processing of light curves of satellites and space debris for the purpose of their identification

Abstract:
With the increase in space traffic in recent years, precise monitoring of space debris is necessary. Observations in the form of light curves provide us with information about an object’s physical properties including shape, size, surface materials and rotation. Publicly available databases contain a huge amount of gathered light curves that can be used to train machine learning models. Pieces of space debris can fall down to the Earth in a process called reentry, therefore 3D reconstruction of this event can bring more understanding of the physical processes.

 

 

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