Tag: University of Sydney

Ph.D. students from the University of Sydney have created a groundbreaking software solution that corrects blurring in James Webb Space Telescope images. Their AMIGO system uses neural networks and simulations to fix electronic distortions, achieving sharper-than-ever celestial observations without costly space missions.

In a remarkable achievement for space science and computational astronomy, researchers from the University of Sydney have developed a sophisticated software solution that corrects image blurring affecting NASA’s James Webb Space Telescope. This breakthrough represents a significant advancement in how we can maintain and enhance the performance of space observatories without requiring physical intervention or costly space missions.

The Blurring Problem Discovery