A research team at
Examples of such debris include manmade satellites and rocket bodies that no longer serve a useful purpose in space. Many are travelling at speeds of approximately 10km/s and can produce even more debris if involved in a collision.
The team’s approach involves using the mathematics of network theory to distinguish the pieces of debris with the greatest potential to cause damage. The theory identifies objects based on the number of links they have with other objects and their importance in the overall structure of the network.
Dr Hugh Lewis of the university’s
‘For this reason, it is important to identify debris objects at risk of collision when making plans to 'clean up' space. Objects need to be ranked according to the risk they pose so that they may be chosen for removal, and this is what our research aims to do.’
The findings were presented at the 59th International Astronautical Congress (IAC) in
Comment: Industry must prioritise environmentally responsible adoption of Gen AI
Industry needs to develop the application of AI by all legal and economic means possible. Big-Brother needs to be kept out or we will have a...