MIT researchers develop 'decision map' that finds the best way to deflect incoming asteroid

Researchers at the Cambridge-based Massachusetts Institute of Technology (MIT) have developed a system that could help identify the best type of mission for deflecting an incoming asteroid.The "decision map" would take into account an asteroid's mass and momentum, its proximity to a gravitational keyhole, and the amount of warning time that scientists have of an impending collision — all of which have degrees of uncertainty, which the researchers also factor in to identify the most successful mission for a given asteroid.[caption id="attachment_7073151" align="alignnone" width="1280"]

Representational image. Credit: Pixabay[/caption]The researchers applied their method to Apophis and Bennu, the near-Earth asteroids, the latter of which is the target of OSIRIS-REx, an operational NASA mission that plans to return a sample of Bennu's surface material to Earth in 2023. REXIS, an instrument designed and built by students at MIT, is also part of this mission and its task is to characterise the abundance of chemical elements at the surface.In a paper appearing this month in the journal Acta Astronautica, the researchers use their decision map to layout the type of mission that would likely have the most success in deflecting Apophis and Bennu, in various scenarios in which the asteroids may be headed toward a gravitational keyhole.They say the method could be used to design the optimal mission configuration and campaign to deflect a potentially hazardous near-Earth asteroid."People have mostly considered strategies of last-minute deflection when the asteroid has already passed through a keyhole and is heading toward a collision with Earth," says Sung Wook Paek, lead author of the study and a former graduate student in MIT's Department of Aeronautics and Astronautics. "I'm interested in preventing keyhole passage well before Earth impact. It's like a preemptive strike, with less mess."Paek's co-authors at MIT are Olivier de Weck, Jeffrey Hoffman, Richard Binzel, and David Miller.