A team of Johns Hopkins researchers has developed a cutting-edge data science approach capable of matching observations of celestial objects taken across multiple telescope surveys, overcoming a significant challenge in modern astronomy. This new tool has the potential to enhance the accuracy and reliability of astronomical catalogs, opening doors to deeper insights into the universe and its celestial bodies. Furthermore, when two or more celestial objects in proximity are measured, observations can become intermingled, presenting a complex computational problem. Team members emphasize that the accuracy and reliability of inferences drawn from astronomical observations are essential for our understanding of the universe. By matching observations across time and telescopes, researchers can extract more knowledge from the same data, contributing to a deeper understanding of the cosmos," Budavári said.
